Our mission is to architect AI that learns from and interacts with the world like humans do.
We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.
We're hiring a Software Engineer, Platform to advance our mission of building real-time multimodal intelligence.
Design and build low latency, scalable, and reliable model inference and serving stack for our cutting edge SSM foundation models
Work closely with our research team and product engineers to translate cutting edge research into incredible products
Build highly parallel, high quality data processing and evaluation infrastructure for foundation model training
You'll have significant autonomy to shape our products and directly impact how cutting-edge AI is applied across various devices and applications.
Given the scale and difficulty of problems we work on, we value strong engineering skills at Cartesia.
Strong engineering skills, comfortable navigating complex codebases and monorepos.
An eye for craft and writing clean and maintainable code.
You're comfortable diving into new technologies and can quickly adapt your skills to our tech stack (Go and Python on the backend, Next.js for the frontend).
Experience building large-scale distributed systems with high demands on performance, reliability, and observability.
Technical leadership with the ability to execute and deliver zero-to-one results amidst ambiguity.
[bonus] Background in or experience working with machine learning and generative models.
Even if you donโt meet every requirement above, we'd encourage you to apply.
Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.
๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.
๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.
๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.
๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.
๐ฐ Compensation Competitive base salary alongside attractive equity package.
๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.
๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave
๐ฆ 401(k)
๐ Commuter Allowance A monthly stipend to help you get to and from the office.
๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.
๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.
๐ฆ Your own personal Yoshi
Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.
","descriptionPlain":"ABOUT CARTESIA\n\nOur mission is to architect AI that learns from and interacts with the world like humans do.\n\nWe're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.\n\nWe're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.\n\n\n\n\nABOUT THE ROLE\n\nWe're hiring a Software Engineer, Platform to advance our mission of building real-time multimodal intelligence. \n\n\n\n\nYOUR IMPACT\n\n - Design and build low latency, scalable, and reliable model inference and serving stack for our cutting edge SSM foundation models\n\n - Work closely with our research team and product engineers to translate cutting edge research into incredible products\n\n - Build highly parallel, high quality data processing and evaluation infrastructure for foundation model training\n\n - You'll have significant autonomy to shape our products and directly impact how cutting-edge AI is applied across various devices and applications.\n\n\n\n\nWHAT YOU BRING\n\nGiven the scale and difficulty of problems we work on, we value strong engineering skills at Cartesia.\n\n - Strong engineering skills, comfortable navigating complex codebases and monorepos.\n\n - An eye for craft and writing clean and maintainable code.\n\n - You're comfortable diving into new technologies and can quickly adapt your skills to our tech stack (Go and Python on the backend, Next.js for the frontend).\n\n - Experience building large-scale distributed systems with high demands on performance, reliability, and observability.\n\n - Technical leadership with the ability to execute and deliver zero-to-one results amidst ambiguity.\n\n - [bonus] Background in or experience working with machine learning and generative models.\n\nEven if you donโt meet every requirement above, we'd encourage you to apply.\n\n\n\nNote: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.\n\n\n\n\nMORE DETAILS\n\n๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.\n\n๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.\n\n๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.\n\n๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.\n\n\n\n\nOUR BENEFITS (US EMPLOYEES ONLY) \n\n๐ฐ Compensation Competitive base salary alongside attractive equity package.\n\n๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.\n\n๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave \n\n๐ฆ 401(k)\n\n๐ Commuter Allowance A monthly stipend to help you get to and from the office.\n\n๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.\n\n๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.\n\n๐ฆ Your own personal Yoshi\n\n\n\n\nOUR COMMITMENT TO EQUAL OPPORTUNITY\n\nCartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.","compensation":{"compensationTierSummary":"$180K โ $250K โข Offers Equity","scrapeableCompensationSalarySummary":"$180K - $250K","compensationTiers":[{"id":"dd602893-2cfb-454e-a7ec-0debd12db12f","tierSummary":"$180K โ $250K โข Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"37220c6f-0e28-4d5f-aa6f-aa1513f693b4","summary":"$180K โ $250K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":180000,"maxValue":250000},{"id":"a027d0ed-b8a4-4323-8d2f-3b5e86cdc51a","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":180000,"maxValue":250000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"bd9d6688-5486-470f-a273-20874a44f107","title":"Inference Engineer","department":"Research","team":"Inference","employmentType":"FullTime","location":"*HQ - San Francisco, CA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2024-12-12T10:29:16.893+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/cartesia/bd9d6688-5486-470f-a273-20874a44f107","applyUrl":"https://jobs.ashbyhq.com/cartesia/bd9d6688-5486-470f-a273-20874a44f107/application","descriptionHtml":"Our mission is to architect AI that learns from and interacts with the world like humans do.
We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.
We're hiring an Inference Engineer to advance our mission of building real-time multimodal intelligence.
Design and build low latency, scalable, and reliable model inference and serving stack for our cutting edge foundation models using Transformers, SSMs and hybrid models.
Work closely with our research team and product engineers to serve our suite of products in a fast, cost-effective, and reliable manner.ย
Design and build robust inference infrastructure and monitoring for our products.ย
Have significant autonomy to shape our products and directly impact how cutting-edge AI is applied across various devices and applications.
Given the scale and difficulty of problems we work on, we value strong engineering skills at Cartesia.
Strong engineering skills, comfortable navigating complex codebases and an eye for writing clean and maintainable code.ย
Experience building large-scale distributed systems with high demands on performance, reliability, and observability.
Technical leadership with the ability to execute and deliver zero-to-one results amidst ambiguity.ย
Background in or experience working on inference pipelines with machine learning and generative models.
Experience implementing state of the art Machine Learning models and research to applied problems.
Preferable: experience with vLLM, SGLang, Continuous Batching or other inference frameworks.
Preferable: experience working in CUDA, Triton or similar
Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.
๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.
๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.
๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.
๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.
๐ฐ Compensation Competitive base salary alongside attractive equity package.
๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.
๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave
๐ฆ 401(k)
๐ Commuter Allowance A monthly stipend to help you get to and from the office.
๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.
๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.
๐ฆ Your own personal Yoshi
Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.
","descriptionPlain":"ABOUT CARTESIA\n\nOur mission is to architect AI that learns from and interacts with the world like humans do.\n\nWe're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.\n\nWe're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.\n\n\n\n\nABOUT THE ROLE\n\nWe're hiring an Inference Engineer to advance our mission of building real-time multimodal intelligence. \n\n\n\n\nYOUR IMPACT\n\n - Design and build low latency, scalable, and reliable model inference and serving stack for our cutting edge foundation models using Transformers, SSMs and hybrid models.\n\n - Work closely with our research team and product engineers to serve our suite of products in a fast, cost-effective, and reliable manner.ย \n\n - Design and build robust inference infrastructure and monitoring for our products.ย \n\n - Have significant autonomy to shape our products and directly impact how cutting-edge AI is applied across various devices and applications.\n\n\n\n\nWHAT YOU BRING\n\nGiven the scale and difficulty of problems we work on, we value strong engineering skills at Cartesia.\n\n - Strong engineering skills, comfortable navigating complex codebases and an eye for writing clean and maintainable code.ย \n\n - Experience building large-scale distributed systems with high demands on performance, reliability, and observability.\n\n - Technical leadership with the ability to execute and deliver zero-to-one results amidst ambiguity.ย \n\n - Background in or experience working on inference pipelines with machine learning and generative models.\n\n - Experience implementing state of the art Machine Learning models and research to applied problems.\n\n - Preferable: experience with vLLM, SGLang, Continuous Batching or other inference frameworks.\n\n - Preferable: experience working in CUDA, Triton or similar\n\n\n\nNote: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.\n\n\n\n\nMORE DETAILS\n\n๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.\n\n๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.\n\n๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.\n\n๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.\n\n\n\n\nOUR BENEFITS (US EMPLOYEES ONLY) \n\n๐ฐ Compensation Competitive base salary alongside attractive equity package.\n\n๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.\n\n๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave \n\n๐ฆ 401(k)\n\n๐ Commuter Allowance A monthly stipend to help you get to and from the office.\n\n๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.\n\n๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.\n\n๐ฆ Your own personal Yoshi\n\n\n\n\nOUR COMMITMENT TO EQUAL OPPORTUNITY\n\nCartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.","compensation":{"compensationTierSummary":"$180K โ $250K","scrapeableCompensationSalarySummary":"$180K - $250K","compensationTiers":[{"id":"c1899c47-c46d-4061-9689-0663466bed07","tierSummary":"$180K โ $250K","title":null,"additionalInformation":null,"components":[{"id":"57e2a93a-a323-4921-8370-c3f82d121348","summary":"$180K โ $250K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":180000,"maxValue":250000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":180000,"maxValue":250000}]}},{"id":"d74e142f-6f20-4e32-8e41-308369ed5106","title":"Researcher, Models","department":"Research","team":"Core Research","employmentType":"FullTime","location":"*HQ - San Francisco, CA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2024-12-12T10:59:04.537+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/cartesia/d74e142f-6f20-4e32-8e41-308369ed5106","applyUrl":"https://jobs.ashbyhq.com/cartesia/d74e142f-6f20-4e32-8e41-308369ed5106/application","descriptionHtml":"Our mission is to architect AI that learns from and interacts with the world like humans do.
We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.
Conduct groundbreaking research in neural network architecture design to advance the state-of-the-art in alternative architectures (e.g., state space models, efficient transformers, hybrid architectures).
Design novel architectures that improve model quality, inference efficiency, and adaptability across diverse deployment environments, from cloud to on-device.
Explore and develop capabilities such as statefulness, long-range memory, and innovative conditioning mechanisms for enhancing model expressiveness and generalization.
Investigate how architectural decisions impact model trade-offs, including scalability, robustness, latency, and energy efficiency.
Develop new frameworks and tools to evaluate architectural innovations, benchmarking performance across research and production settings.
Collaborate with cross-functional teams to translate architectural research into scalable and impactful systems for real-world applications.
Deep expertise in architecture design, with experience in researching or deploying advanced architectures (e.g., state space models, transformers, RNN variants, CNN variants).
Strong understanding of how architectures interact with system constraints, including deployment in cloud environments or on-device.
Proficiency in designing architectures that balance quality, efficiency, and adaptability across different use cases and modalities (e.g., vision, audio, text).
Familiarity with generative modeling paradigms like autoregressive and diffusion models, and designing capabilities such as statefulness and conditioning in deep learning models.
A proven research track record in top-tier ML/AI venues (e.g., NeurIPS, ICML, ICLR, CVPR) or demonstrable contributions to state-of-the-art architectures.
Exceptional analytical and problem-solving skills, with a focus on experimentation and iterative refinement.
Strong programming skills in deep learning frameworks such as PyTorch or TensorFlow, and experience with profiling tools for understanding model performance.
Prior research or publications in state space models, efficient Transformers or other alternative architectures.
Research or practical experience in designing architectures for multi-modal systems.
Early-stage startup experience or a track record of rapid innovation in R&D environments.
Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.
๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.
๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.
๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.
๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.
๐ฐ Compensation Competitive base salary alongside attractive equity package.
๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.
๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave
๐ฆ 401(k)
๐ Commuter Allowance A monthly stipend to help you get to and from the office.
๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.
๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.
๐ฆ Your own personal Yoshi
Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.
","descriptionPlain":"ABOUT CARTESIA\n\nOur mission is to architect AI that learns from and interacts with the world like humans do.\n\nWe're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.\n\nWe're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.\n\n\n\n\nYOUR IMPACT\n\nConduct groundbreaking research in neural network architecture design to advance the state-of-the-art in alternative architectures (e.g., state space models, efficient transformers, hybrid architectures).\n\n - Design novel architectures that improve model quality, inference efficiency, and adaptability across diverse deployment environments, from cloud to on-device.\n\n - Explore and develop capabilities such as statefulness, long-range memory, and innovative conditioning mechanisms for enhancing model expressiveness and generalization.\n\n - Investigate how architectural decisions impact model trade-offs, including scalability, robustness, latency, and energy efficiency.\n\n - Develop new frameworks and tools to evaluate architectural innovations, benchmarking performance across research and production settings.\n\n - Collaborate with cross-functional teams to translate architectural research into scalable and impactful systems for real-world applications.\n\n\n\n\nWHAT YOU BRING\n\n - Deep expertise in architecture design, with experience in researching or deploying advanced architectures (e.g., state space models, transformers, RNN variants, CNN variants).\n\n - Strong understanding of how architectures interact with system constraints, including deployment in cloud environments or on-device.\n\n - Proficiency in designing architectures that balance quality, efficiency, and adaptability across different use cases and modalities (e.g., vision, audio, text).\n\n - Familiarity with generative modeling paradigms like autoregressive and diffusion models, and designing capabilities such as statefulness and conditioning in deep learning models.\n\n - A proven research track record in top-tier ML/AI venues (e.g., NeurIPS, ICML, ICLR, CVPR) or demonstrable contributions to state-of-the-art architectures.\n\n - Exceptional analytical and problem-solving skills, with a focus on experimentation and iterative refinement.\n\n - Strong programming skills in deep learning frameworks such as PyTorch or TensorFlow, and experience with profiling tools for understanding model performance.\n \n \n\n\nNICE-TO-HAVES\n\n - Prior research or publications in state space models, efficient Transformers or other alternative architectures.\n\n - Research or practical experience in designing architectures for multi-modal systems.\n\n - Early-stage startup experience or a track record of rapid innovation in R&D environments.\n\n\n\nNote: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.\n\n\n\n\nMORE DETAILS\n\n๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.\n\n๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.\n\n๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.\n\n๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.\n\n\n\n\nOUR BENEFITS (US EMPLOYEES ONLY) \n\n๐ฐ Compensation Competitive base salary alongside attractive equity package.\n\n๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.\n\n๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave \n\n๐ฆ 401(k)\n\n๐ Commuter Allowance A monthly stipend to help you get to and from the office.\n\n๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.\n\n๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.\n\n๐ฆ Your own personal Yoshi\n\n\n\n\nOUR COMMITMENT TO EQUAL OPPORTUNITY\n\nCartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.","compensation":{"compensationTierSummary":"$180K โ $350K","scrapeableCompensationSalarySummary":"$180K - $350K","compensationTiers":[{"id":"9a8f2919-c95c-484e-a2e6-924b74202d26","tierSummary":"$180K โ $350K","title":null,"additionalInformation":null,"components":[{"id":"3cfd98d8-6ee4-4468-abb6-898a13ba3c48","summary":"$180K โ $350K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":180000,"maxValue":350000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":180000,"maxValue":350000}]}},{"id":"9d9c6cc0-218c-4fd4-a478-3e4b37de1d76","title":"Software Engineer, Platform (India)","department":"Engineering","team":"Software Engineering","employmentType":"FullTime","location":"Bangalore","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-07-14T12:19:01.322+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"Karnataka","addressCountry":"India","addressLocality":"Bangalore"}},"jobUrl":"https://jobs.ashbyhq.com/cartesia/9d9c6cc0-218c-4fd4-a478-3e4b37de1d76","applyUrl":"https://jobs.ashbyhq.com/cartesia/9d9c6cc0-218c-4fd4-a478-3e4b37de1d76/application","descriptionHtml":"Our mission is to architect AI that learns from and interacts with the world like humans do.
We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.
Weโre opening our first ever office in India, and looking to hire for a Software Engineer to advance our mission of building real-time multimodal intelligence.
Design and build low latency, scalable, and reliable model inference and serving stack for our cutting edge SSM foundation models
Work closely with our research team and product engineers to translate cutting edge research into incredible products
Build highly parallel, high quality data processing and evaluation infrastructure for foundation model training
You'll have significant autonomy to shape our products and directly impact how cutting-edge AI is applied across various devices and applications.
Given the scale and difficulty of problems we work on, we value strong engineering skills at Cartesia.
Strong engineering skills, comfortable navigating complex codebases and monorepos.
A minimum of 3-5 years of experience in software engineering, product engineering or ML platform engineering
An eye for craft and writing clean and maintainable code.
You're comfortable diving into new technologies and can quickly adapt your skills to our tech stack (Go and Python on the backend, Next.js for the frontend).
Experience building large-scale distributed systems with high demands on performance, reliability, and observability.
Technical leadership with the ability to execute and deliver zero-to-one results amidst ambiguity.
[bonus] Background in or experience working with machine learning and generative models.
Even if you donโt meet every requirement above, we'd encourage you to apply.
๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.
๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.
๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.
๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.
๐ฐ Compensation Competitive base salary alongside attractive equity package.
๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.
๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave
๐ฆ 401(k)
๐ Commuter Allowance A monthly stipend to help you get to and from the office.
๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.
๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.
๐ฆ Your own personal Yoshi
Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.
","descriptionPlain":"ABOUT CARTESIA\n\nOur mission is to architect AI that learns from and interacts with the world like humans do.\n\nWe're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.\n\nWe're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.\n\n\n\n\nABOUT THE ROLE\n\nWeโre opening our first ever office in India, and looking to hire for a Software Engineer to advance our mission of building real-time multimodal intelligence. \n\n\n\n\nYOUR IMPACT\n\n - Design and build low latency, scalable, and reliable model inference and serving stack for our cutting edge SSM foundation models\n\n - Work closely with our research team and product engineers to translate cutting edge research into incredible products\n\n - Build highly parallel, high quality data processing and evaluation infrastructure for foundation model training\n\n - You'll have significant autonomy to shape our products and directly impact how cutting-edge AI is applied across various devices and applications.\n\n\n\n\nWHAT YOU BRING\n\nGiven the scale and difficulty of problems we work on, we value strong engineering skills at Cartesia.\n\n - Strong engineering skills, comfortable navigating complex codebases and monorepos.\n\n - A minimum of 3-5 years of experience in software engineering, product engineering or ML platform engineering\n\n - An eye for craft and writing clean and maintainable code.\n\n - You're comfortable diving into new technologies and can quickly adapt your skills to our tech stack (Go and Python on the backend, Next.js for the frontend).\n\n - Experience building large-scale distributed systems with high demands on performance, reliability, and observability.\n\n - Technical leadership with the ability to execute and deliver zero-to-one results amidst ambiguity.\n\n - [bonus] Background in or experience working with machine learning and generative models.\n\nEven if you donโt meet every requirement above, we'd encourage you to apply.\n\n\n\n\nMORE DETAILS\n\n๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.\n\n๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.\n\n๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.\n\n๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.\n\n\n\n\nOUR BENEFITS (US EMPLOYEES ONLY) \n\n๐ฐ Compensation Competitive base salary alongside attractive equity package.\n\n๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.\n\n๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave \n\n๐ฆ 401(k)\n\n๐ Commuter Allowance A monthly stipend to help you get to and from the office.\n\n๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.\n\n๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.\n\n๐ฆ Your own personal Yoshi\n\n\n\n\nOUR COMMITMENT TO EQUAL OPPORTUNITY\n\nCartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.","compensation":{"compensationTierSummary":"โน70L โ โน90L โข Offers Equity","scrapeableCompensationSalarySummary":"โน70L - โน90L","compensationTiers":[{"id":"b3c5e3d0-8c57-4bc9-9572-3f6773f52f60","tierSummary":"โน70L โ โน90L โข Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"50f481bb-eed5-4441-839e-62ecccb20d28","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"25ecc71d-61ba-49b0-9279-b137cd8cecf4","summary":"โน70L โ โน90L","compensationType":"Salary","interval":"1 YEAR","currencyCode":"INR","minValue":7000000,"maxValue":9000000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"INR","minValue":7000000,"maxValue":9000000}]}},{"id":"7ecc288b-6eb0-41d6-b17c-3187fac43f95","title":"Researcher, Models (UK)","department":"Research","team":"Core Research","employmentType":"FullTime","location":"London","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2025-10-07T00:33:30.687+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United Kingdom","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/cartesia/7ecc288b-6eb0-41d6-b17c-3187fac43f95","applyUrl":"https://jobs.ashbyhq.com/cartesia/7ecc288b-6eb0-41d6-b17c-3187fac43f95/application","descriptionHtml":"Our mission is to architect AI that learns from and interacts with the world like humans do.
We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.
Weโre opening our first ever office in Europe, and looking to hire incredible talent in London to advance our mission of building real-time multimodal intelligence.
Conduct groundbreaking research in neural network architecture design to advance the state-of-the-art (SOTA) in alternative architectures (e.g., state space models, efficient Transformers, hybrid architectures).
Design novel architectures that improve model quality, inference efficiency, and adaptability across diverse deployment environments, from cloud to on-device.
Explore and develop capabilities such as statefulness, long-range memory, and innovative conditioning mechanisms for enhancing model expressiveness and generalization.
Investigate how architectural decisions impact model trade-offs, including scalability, robustness, latency, and energy efficiency.
Develop new frameworks and tools to evaluate architectural innovations, benchmarking performance across research and production settings.
Collaborate with cross-functional teams to translate architectural research into scalable and impactful systems for real-world applications.
Deep expertise in architecture design, with experience in researching or deploying advanced architectures (e.g., state space models, transformers, RNN variants, CNN variants).
Strong understanding of how architectures interact with system constraints, including deployment in cloud environments or on-device.
Proficiency in designing architectures that balance quality, efficiency, and adaptability across different use cases and modalities (e.g., vision, audio, text).
Familiarity with generative modeling paradigms like autoregressive and diffusion models, and designing capabilities such as statefulness and conditioning in deep learning models.
A proven research track record in top-tier ML/AI venues (e.g., NeurIPS, ICML, ICLR, CVPR) or demonstrable contributions to state-of-the-art architectures.
Exceptional analytical and problem-solving skills, with a focus on experimentation and iterative refinement.
Strong programming skills in deep learning frameworks such as PyTorch or TensorFlow, and experience with profiling tools for understanding model performance.
Prior research or publications in state space models, efficient Transformers or other alternative architectures.
Research or practical experience in designing architectures for multi-modal systems.
Early-stage startup experience or a track record of rapid innovation in R&D environments.
๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.
๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.
๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.
๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.
๐ฐ Compensation Competitive base salary alongside attractive equity package.
๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.
๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave
๐ฆ 401(k)
๐ Commuter Allowance A monthly stipend to help you get to and from the office.
๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.
๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.
๐ฆ Your own personal Yoshi
Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.
","descriptionPlain":"ABOUT CARTESIA\n\nOur mission is to architect AI that learns from and interacts with the world like humans do.\n\nWe're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.\n\nWe're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.\n\n\n\n\nABOUT THE ROLE\n\nWeโre opening our first ever office in Europe, and looking to hire incredible talent in London to advance our mission of building real-time multimodal intelligence. \n\n\n\n\nYOUR IMPACT\n\n - Conduct groundbreaking research in neural network architecture design to advance the state-of-the-art (SOTA) in alternative architectures (e.g., state space models, efficient Transformers, hybrid architectures).\n\n - Design novel architectures that improve model quality, inference efficiency, and adaptability across diverse deployment environments, from cloud to on-device.\n\n - Explore and develop capabilities such as statefulness, long-range memory, and innovative conditioning mechanisms for enhancing model expressiveness and generalization.\n\n - Investigate how architectural decisions impact model trade-offs, including scalability, robustness, latency, and energy efficiency.\n\n - Develop new frameworks and tools to evaluate architectural innovations, benchmarking performance across research and production settings.\n\n - Collaborate with cross-functional teams to translate architectural research into scalable and impactful systems for real-world applications.\n\n\n\n\nWHAT YOU BRING\n\n - Deep expertise in architecture design, with experience in researching or deploying advanced architectures (e.g., state space models, transformers, RNN variants, CNN variants).\n\n - Strong understanding of how architectures interact with system constraints, including deployment in cloud environments or on-device.\n\n - Proficiency in designing architectures that balance quality, efficiency, and adaptability across different use cases and modalities (e.g., vision, audio, text).\n\n - Familiarity with generative modeling paradigms like autoregressive and diffusion models, and designing capabilities such as statefulness and conditioning in deep learning models.\n\n - A proven research track record in top-tier ML/AI venues (e.g., NeurIPS, ICML, ICLR, CVPR) or demonstrable contributions to state-of-the-art architectures.\n\n - Exceptional analytical and problem-solving skills, with a focus on experimentation and iterative refinement.\n\n - Strong programming skills in deep learning frameworks such as PyTorch or TensorFlow, and experience with profiling tools for understanding model performance.\n\n\n\n\nNICE-TO-HAVES\n\n - Prior research or publications in state space models, efficient Transformers or other alternative architectures.\n\n - Research or practical experience in designing architectures for multi-modal systems.\n\n - Early-stage startup experience or a track record of rapid innovation in R&D environments.\n\n\n\n\nMORE DETAILS\n\n๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.\n\n๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.\n\n๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.\n\n๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.\n\n\n\n\nOUR BENEFITS (US EMPLOYEES ONLY) \n\n๐ฐ Compensation Competitive base salary alongside attractive equity package.\n\n๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.\n\n๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave \n\n๐ฆ 401(k)\n\n๐ Commuter Allowance A monthly stipend to help you get to and from the office.\n\n๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.\n\n๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.\n\n๐ฆ Your own personal Yoshi\n\n\n\n\nOUR COMMITMENT TO EQUAL OPPORTUNITY\n\nCartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"1f27ab7c-4916-4d2a-98dd-8e56085bb5d0","title":"Technical Recruiter, Research","department":"People","team":"Talent","employmentType":"FullTime","location":"*HQ - San Francisco, CA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-04-14T20:30:29.724+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/cartesia/1f27ab7c-4916-4d2a-98dd-8e56085bb5d0","applyUrl":"https://jobs.ashbyhq.com/cartesia/1f27ab7c-4916-4d2a-98dd-8e56085bb5d0/application","descriptionHtml":"Our mission is to architect AI that learns from and interacts with the world like humans do.
We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.
Weโre looking for a Technical Recruiter, Research to help us grow our team of researchers and research engineers, and drive hiring end-to-end. Youโll own full-cycle hiring across technical roles โ from sourcing and outreach to offer โ and partner closely with hiring managers to deliver exceptional talent pipelines. This is a high-impact role where youโll help shape the team and culture at one of the most exciting startups in AI.
Own and manage full-cycle recruiting for technical roles across research
Partner with hiring managers to define role requirements, interview plans, and sourcing strategies
Build and nurture diverse pipelines through creative sourcing and outbound outreach
Craft thoughtful, high-conversion outreach messages that reflect Cartesiaโs voice and mission
Guide candidates through a smooth, responsive, and respectful interview process
Track and report on pipeline health, hiring metrics, and process improvements
Help build and evolve recruiting operations, tools, and best practices
Support employer branding, events, and other strategic hiring initiatives
5+ years of experience recruiting for technical roles in a startup or high-growth environment
Strong sourcing and candidate engagement skills and an ability to approach a search in a creative manner
Clear, confident communication โ both with candidates and hiring managers
Comfortable working in a fast-paced, evolving environment with high hiring standards
Experience with ATS tools (e.g. Ashby), and sourcing platforms
A collaborative mindset and a genuine interest in AI, engineering, and building great teams
Bonus: experience recruiting for AI/ML roles or research talent
Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.
๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.
๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.
๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.
๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.
๐ฐ Compensation Competitive base salary alongside attractive equity package.
๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.
๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave
๐ฆ 401(k)
๐ Commuter Allowance A monthly stipend to help you get to and from the office.
๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.
๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.
๐ฆ Your own personal Yoshi
Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.
","descriptionPlain":"ABOUT CARTESIA\n\nOur mission is to architect AI that learns from and interacts with the world like humans do.\n\nWe're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.\n\nWe're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.\n\n\n\n\nABOUT THE ROLE\n\nWeโre looking for a Technical Recruiter, Research to help us grow our team of researchers and research engineers, and drive hiring end-to-end. Youโll own full-cycle hiring across technical roles โ from sourcing and outreach to offer โ and partner closely with hiring managers to deliver exceptional talent pipelines. This is a high-impact role where youโll help shape the team and culture at one of the most exciting startups in AI.\n\n\n\n\nYOUR IMPACT\n\n - Own and manage full-cycle recruiting for technical roles across research\n\n - Partner with hiring managers to define role requirements, interview plans, and sourcing strategies\n\n - Build and nurture diverse pipelines through creative sourcing and outbound outreach\n\n - Craft thoughtful, high-conversion outreach messages that reflect Cartesiaโs voice and mission\n\n - Guide candidates through a smooth, responsive, and respectful interview process\n\n - Track and report on pipeline health, hiring metrics, and process improvements\n\n - Help build and evolve recruiting operations, tools, and best practices\n\n - Support employer branding, events, and other strategic hiring initiatives\n \n \n\n\nWHAT YOU BRING\n\n - 5+ years of experience recruiting for technical roles in a startup or high-growth environment\n\n - Strong sourcing and candidate engagement skills and an ability to approach a search in a creative manner\n\n - Clear, confident communication โ both with candidates and hiring managers\n\n - Comfortable working in a fast-paced, evolving environment with high hiring standards\n\n - Experience with ATS tools (e.g. Ashby), and sourcing platforms\n\n - A collaborative mindset and a genuine interest in AI, engineering, and building great teams\n\n - Bonus: experience recruiting for AI/ML roles or research talent\n\n\n\nNote: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.\n\n\n\n\nMORE DETAILS\n\n๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.\n\n๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.\n\n๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.\n\n๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.\n\n\n\n\nOUR BENEFITS (US EMPLOYEES ONLY) \n\n๐ฐ Compensation Competitive base salary alongside attractive equity package.\n\n๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.\n\n๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave \n\n๐ฆ 401(k)\n\n๐ Commuter Allowance A monthly stipend to help you get to and from the office.\n\n๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.\n\n๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.\n\n๐ฆ Your own personal Yoshi\n\n\n\n\nOUR COMMITMENT TO EQUAL OPPORTUNITY\n\nCartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.","compensation":{"compensationTierSummary":"$125K โ $200K","scrapeableCompensationSalarySummary":"$125K - $200K","compensationTiers":[{"id":"eb7cb4de-e270-4855-82bf-690bc1ab7fdc","tierSummary":"$125K โ $200K","title":null,"additionalInformation":null,"components":[{"id":"fb3992d7-5935-4fdc-9527-e9fe9231ade3","summary":"$125K โ $200K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":125000,"maxValue":200000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":125000,"maxValue":200000}]}},{"id":"b2625458-4021-48ac-905b-a431f58df8d3","title":"Software Engineer, Data Infrastructure","department":"Research","team":"Research","employmentType":"FullTime","location":"*HQ - San Francisco, CA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-07-09T20:35:36.669+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/cartesia/b2625458-4021-48ac-905b-a431f58df8d3","applyUrl":"https://jobs.ashbyhq.com/cartesia/b2625458-4021-48ac-905b-a431f58df8d3/application","descriptionHtml":"Our mission is to architect AI that learns from and interacts with the world like humans do.
We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.
Data is the lifeblood of our models, and we are looking for a Software Engineer, Data Infrastructure to own the strategy and execution for all data at Cartesia. In this highly impactful role, you will build and evolve the datasets that power our cutting-edge research. You will design scalable systems to acquire, process, and curate massive multimodal datasets while partnering closely with research and inference teams. Your work will directly shape the capabilities and quality of our foundational models.
Define Cartesia's multi-modal data strategy across pre-training and post-training, spanning human, synthetic, and web-scale sources, with particular depth in audio.
Design and operate scalable, high-throughput data pipelines for text, audio, and video โ covering ingestion, preprocessing, augmentation, dataset versioning, and data loading for training.
Partner closely with research and inference teams so data systems are co-designed with training and serving infrastructure (batching, GPU-aware loading, evaluation pipelines).
Establish and enforce rigorous standards for data quality, with a tight feedback loop between dataset characteristics and model behavior.
Identify and source novel datasets; manage relationships and budgets with external data vendors and partners.
Hands-on experience with ML data infrastructure: training data pipelines, dataset versioning, large-scale data loading, and the interplay between data systems and model training and inference.
Working knowledge of multimodal data, i.e. audio: formats, preprocessing, augmentation, and large-scale storage and streaming patterns.
Strong modern engineering execution: clean, well-tested code, fluency with current tools, and a willingness to pick the right tool for the problem rather than defaulting to familiar patterns.
Experience leading cross-functional technical efforts in a fast-moving, research-driven environment.
Familiarity with building and evaluating datasets for generative models and reasonable working knowledge of how theyโre trained and inference.
Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.
๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.
๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.
๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.
๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.
๐ฐ Compensation Competitive base salary alongside attractive equity package.
๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.
๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave
๐ฆ 401(k)
๐ Commuter Allowance A monthly stipend to help you get to and from the office.
๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.
๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.
๐ฆ Your own personal Yoshi
Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.
","descriptionPlain":"ABOUT CARTESIA\n\nOur mission is to architect AI that learns from and interacts with the world like humans do.\n\nWe're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.\n\nWe're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.\n\n\n\n\nABOUT THE ROLE\n\nData is the lifeblood of our models, and we are looking for a Software Engineer, Data Infrastructure to own the strategy and execution for all data at Cartesia. In this highly impactful role, you will build and evolve the datasets that power our cutting-edge research. You will design scalable systems to acquire, process, and curate massive multimodal datasets while partnering closely with research and inference teams. Your work will directly shape the capabilities and quality of our foundational models.\n\n\n\n\nYOUR IMPACT\n\n - Define Cartesia's multi-modal data strategy across pre-training and post-training, spanning human, synthetic, and web-scale sources, with particular depth in audio.\n\n - Design and operate scalable, high-throughput data pipelines for text, audio, and video โ covering ingestion, preprocessing, augmentation, dataset versioning, and data loading for training.\n\n - Partner closely with research and inference teams so data systems are co-designed with training and serving infrastructure (batching, GPU-aware loading, evaluation pipelines).\n\n - Establish and enforce rigorous standards for data quality, with a tight feedback loop between dataset characteristics and model behavior.\n\n - Identify and source novel datasets; manage relationships and budgets with external data vendors and partners.\n\n\n\n\nWHAT YOU BRING\n\n - Hands-on experience with ML data infrastructure: training data pipelines, dataset versioning, large-scale data loading, and the interplay between data systems and model training and inference.\n\n - Working knowledge of multimodal data, i.e. audio: formats, preprocessing, augmentation, and large-scale storage and streaming patterns.\n\n - Strong modern engineering execution: clean, well-tested code, fluency with current tools, and a willingness to pick the right tool for the problem rather than defaulting to familiar patterns.\n\n - Experience leading cross-functional technical efforts in a fast-moving, research-driven environment.\n\n - Familiarity with building and evaluating datasets for generative models and reasonable working knowledge of how theyโre trained and inference.\n\n\n\nNote: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.\n\n\n\n\nMORE DETAILS\n\n๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.\n\n๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.\n\n๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.\n\n๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.\n\n\n\n\nOUR BENEFITS (US EMPLOYEES ONLY) \n\n๐ฐ Compensation Competitive base salary alongside attractive equity package.\n\n๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.\n\n๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave \n\n๐ฆ 401(k)\n\n๐ Commuter Allowance A monthly stipend to help you get to and from the office.\n\n๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.\n\n๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.\n\n๐ฆ Your own personal Yoshi\n\n\n\n\nOUR COMMITMENT TO EQUAL OPPORTUNITY\n\nCartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.","compensation":{"compensationTierSummary":"$180K โ $250K โข Offers Equity","scrapeableCompensationSalarySummary":"$180K - $250K","compensationTiers":[{"id":"bb552b70-8156-401d-b346-221b6e9f4dbf","tierSummary":"$180K โ $250K โข Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"b06b7631-92c8-4de5-9d45-8349be74f827","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"b65e6ec0-2e84-453a-bbb6-eaf8010b8592","summary":"$180K โ $250K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":180000,"maxValue":250000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":180000,"maxValue":250000}]}},{"id":"d26f0158-f7d1-440b-9c1a-f9b7a884437c","title":"Applied Researcher, Audio","department":"Research","team":"Applied Research","employmentType":"FullTime","location":"*HQ - San Francisco, CA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2025-09-16T18:35:45.477+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/cartesia/d26f0158-f7d1-440b-9c1a-f9b7a884437c","applyUrl":"https://jobs.ashbyhq.com/cartesia/d26f0158-f7d1-440b-9c1a-f9b7a884437c/application","descriptionHtml":"Our mission is to architect AI that learns from and interacts with the world like humans do.
We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.
You will be responsible for leading research at the frontier of realtime conversation and human AI interaction. You will contribute across the stack to novel architectures, data, and evals for realtime audio, and translate them into state-of-the-art models used in voice agents around the world.
Architect and develop new architectures for realtime audio understanding, generation, and speech-to-speech models that reason jointly over multiple modalities in realtime
Contribute to frontier multimodal and multilingual datasets for pre-training and post-training, including curating data mixes and developing new methods for synthetic data generation and annotation
Set new standards for how we evaluate and benchmark our audio models
Strong applied mindset and ability to balance scientific novelty with product impact.
Excited and able to work across the stack from infra, to data, to evals, to architecture to solve customer problems and build state-of-the-art models.
Deep expertise in deep generative modeling. Previous experience in audio understanding, audio generation, speech-to-speech, or language modeling preferred but not required.
Experience with large-scale training, GPU/TPU acceleration, and model optimization.
Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.
๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.
๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.
๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.
๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.
๐ฐ Compensation Competitive base salary alongside attractive equity package.
๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.
๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave
๐ฆ 401(k)
๐ Commuter Allowance A monthly stipend to help you get to and from the office.
๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.
๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.
๐ฆ Your own personal Yoshi
Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.
","descriptionPlain":"ABOUT CARTESIA\n\nOur mission is to architect AI that learns from and interacts with the world like humans do.\n\nWe're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.\n\nWe're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.\n\n\n\n\nABOUT THE ROLE\n\nYou will be responsible for leading research at the frontier of realtime conversation and human AI interaction. You will contribute across the stack to novel architectures, data, and evals for realtime audio, and translate them into state-of-the-art models used in voice agents around the world.\n\n\n\n\nYOUR IMPACT\n\n - Architect and develop new architectures for realtime audio understanding, generation, and speech-to-speech models that reason jointly over multiple modalities in realtime\n\n - Contribute to frontier multimodal and multilingual datasets for pre-training and post-training, including curating data mixes and developing new methods for synthetic data generation and annotation\n\n - Set new standards for how we evaluate and benchmark our audio models\n\n\n\n\nWHAT YOU BRING\n\n - Strong applied mindset and ability to balance scientific novelty with product impact.\n\n - Excited and able to work across the stack from infra, to data, to evals, to architecture to solve customer problems and build state-of-the-art models.\n\n - Deep expertise in deep generative modeling. Previous experience in audio understanding, audio generation, speech-to-speech, or language modeling preferred but not required.\n\n - Experience with large-scale training, GPU/TPU acceleration, and model optimization.\n \n\nNote: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.\n\n\n\n\nMORE DETAILS\n\n๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.\n\n๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.\n\n๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.\n\n๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.\n\n\n\n\nOUR BENEFITS (US EMPLOYEES ONLY) \n\n๐ฐ Compensation Competitive base salary alongside attractive equity package.\n\n๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.\n\n๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave \n\n๐ฆ 401(k)\n\n๐ Commuter Allowance A monthly stipend to help you get to and from the office.\n\n๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.\n\n๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.\n\n๐ฆ Your own personal Yoshi\n\n\n\n\nOUR COMMITMENT TO EQUAL OPPORTUNITY\n\nCartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.","compensation":{"compensationTierSummary":"$200K โ $350K โข Offers Equity","scrapeableCompensationSalarySummary":"$200K - $350K","compensationTiers":[{"id":"a1c67067-a987-439d-8297-7d2faac33f5d","tierSummary":"$200K โ $350K โข Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"4eedcc1a-2406-413a-914a-b4e3fae85f6d","summary":"$200K โ $350K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":200000,"maxValue":350000},{"id":"35a2702d-3d93-41a8-813b-bf7157fab770","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":200000,"maxValue":350000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"53fb0b93-d49d-47c7-a679-35ee76b007c5","title":"Researcher, Evals","department":"Research","team":"Evals","employmentType":"FullTime","location":"*HQ - San Francisco, CA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2025-10-21T00:05:34.435+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/cartesia/53fb0b93-d49d-47c7-a679-35ee76b007c5","applyUrl":"https://jobs.ashbyhq.com/cartesia/53fb0b93-d49d-47c7-a679-35ee76b007c5/application","descriptionHtml":"Our mission is to architect AI that learns from and interacts with the world like humans do.
We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.
The New Horizons Evaluations team is reimagining how we measure progress in interactive machine intelligence. As Evaluations Lead, you will design evaluation frameworks that capture not just what models know โ but how they reason, remember, and interact over time. Youโll work at the intersection of research, product, and infrastructure to develop metrics, systems, and studies that define what โintelligenceโ means in the next generation of AI. This role is ideal for someone who combines scientific rigor with technical execution, and whoโs deeply curious about how people use โ and want to use โ intelligent systems. Your work will shape how Cartesia builds and evaluates frontier models, ensuring that progress isnโt measured solely by static benchmarks, but by deeper qualities like understanding, naturalness, and adaptability in real-world interaction.
Identify and define key model capabilities and behaviors that matter for next-generation model evals
Develop and implement new evaluation pipelines with robust statistical analysis and clear reporting
Partner closely with model training and research teams to embed evaluation systems directly into model development loops
Prototype new user studies and behavioral experiments to ground evaluations in real-world use.
Experience designing or implementing evaluation frameworks for generative models (audio, text, or multimodal)
Strong technical and analytical skills, ability to take open-ended research ideas and translate them into production-ready systems
Creativity in defining novel quantitative metrics for subjective or behavioral qualities
Excitement for building evaluation systems that bridge research and real-world use
Curiosity and rigor in equal measure; motivation driven by discovering how to measure meaningful progress in intelligent behavior
Understanding of model alignment concepts and evaluation approaches
Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.
๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.
๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.
๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.
๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.
๐ฐ Compensation Competitive base salary alongside attractive equity package.
๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.
๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave
๐ฆ 401(k)
๐ Commuter Allowance A monthly stipend to help you get to and from the office.
๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.
๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.
๐ฆ Your own personal Yoshi
Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.
","descriptionPlain":"ABOUT CARTESIA\n\nOur mission is to architect AI that learns from and interacts with the world like humans do.\n\nWe're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.\n\nWe're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.\n\n\n\n\nABOUT THE ROLE\n\nThe New Horizons Evaluations team is reimagining how we measure progress in interactive machine intelligence. As Evaluations Lead, you will design evaluation frameworks that capture not just what models know โ but how they reason, remember, and interact over time. Youโll work at the intersection of research, product, and infrastructure to develop metrics, systems, and studies that define what โintelligenceโ means in the next generation of AI. This role is ideal for someone who combines scientific rigor with technical execution, and whoโs deeply curious about how people use โ and want to use โ intelligent systems. Your work will shape how Cartesia builds and evaluates frontier models, ensuring that progress isnโt measured solely by static benchmarks, but by deeper qualities like understanding, naturalness, and adaptability in real-world interaction.\n\n\n\n\nYOUR IMPACT\n\n - Identify and define key model capabilities and behaviors that matter for next-generation model evals\n\n - Develop and implement new evaluation pipelines with robust statistical analysis and clear reporting\n\n - Partner closely with model training and research teams to embed evaluation systems directly into model development loops\n\n - Prototype new user studies and behavioral experiments to ground evaluations in real-world use.\n\n\n\n\nWHAT YOU BRING\n\n - Experience designing or implementing evaluation frameworks for generative models (audio, text, or multimodal)\n\n - Strong technical and analytical skills, ability to take open-ended research ideas and translate them into production-ready systems\n\n - Creativity in defining novel quantitative metrics for subjective or behavioral qualities\n\n - Excitement for building evaluation systems that bridge research and real-world use\n\n - Curiosity and rigor in equal measure; motivation driven by discovering how to measure meaningful progress in intelligent behavior\n\n\n\n\nNICE-TO-HAVES\n\n - Understanding of model alignment concepts and evaluation approaches\n\n\n\nNote: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.\n\n\n\n\nMORE DETAILS\n\n๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.\n\n๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.\n\n๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.\n\n๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.\n\n\n\n\nOUR BENEFITS (US EMPLOYEES ONLY) \n\n๐ฐ Compensation Competitive base salary alongside attractive equity package.\n\n๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.\n\n๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave \n\n๐ฆ 401(k)\n\n๐ Commuter Allowance A monthly stipend to help you get to and from the office.\n\n๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.\n\n๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.\n\n๐ฆ Your own personal Yoshi\n\n\n\n\nOUR COMMITMENT TO EQUAL OPPORTUNITY\n\nCartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.","compensation":{"compensationTierSummary":"$220K โ $350K โข Offers Equity","scrapeableCompensationSalarySummary":"$220K - $350K","compensationTiers":[{"id":"fae13cbb-e4cc-4ef6-94c8-dc601e777207","tierSummary":"$220K โ $350K โข Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"84d90865-4b86-4b45-8ae0-ccf33c5d0c44","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"80e9476f-45ab-4556-8354-d8a1637a32c6","summary":"$220K โ $350K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":220000,"maxValue":350000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":220000,"maxValue":350000}]}},{"id":"33a8d2ef-ccc1-446a-8fd3-9c21cd211900","title":"Researcher, Post Training","department":"Research","team":"Post Training","employmentType":"FullTime","location":"*HQ - San Francisco, CA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2025-10-21T00:12:18.603+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/cartesia/33a8d2ef-ccc1-446a-8fd3-9c21cd211900","applyUrl":"https://jobs.ashbyhq.com/cartesia/33a8d2ef-ccc1-446a-8fd3-9c21cd211900/application","descriptionHtml":"Our mission is to architect AI that learns from and interacts with the world like humans do.
We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.
The next leap in model intelligence wonโt come from scale alone โ it will come from better post-training and alignment. Cartesiaโs Post-Training team is developing the methods and systems that make multimodal models truly adaptive, aligned, and grounded in human intent.
As a Researcher on the Post-Training team, youโll work at the intersection of machine learning research, alignment, and infrastructure, designing new techniques for preference optimization, model evaluation, and feedback-driven learning. Youโll explore how feedback signals can guide models to reason more effectively across modalities, and youโll build the infrastructure to measure and improve these behaviors at scale.
Your work will directly shape how Cartesiaโs foundation models learn, improve, and ultimately connect with people.
Own research initiatives to improve the alignment and capabilities of multimodal models
Develop new post-training methods and evaluation frameworks to measure model improvement
Partner closely with research, product, and platform teams to define best practices for creating specialized models
Implement, debug, and scale experimental systems to ensure reliability and reproducibility across training runs
Translate research findings into production-ready systems that enhance model reasoning, consistency, and human alignment
Deep knowledge of preference optimization and alignment methods, including RLHF and related approaches
Experience designing evaluations and metrics for generative or multimodal models
Strong engineering and debugging skills, with experience building or scaling complex ML systems
Ability to trace and diagnose complex behaviors in model performance across the training and evaluation pipeline
Experience with multimodal model training (e.g., text, audio, or vision-language models)
Contributions to alignment research or open-source projects related to model evaluation or fine-tuning
Background in designing or implementing human-in-the-loop evaluation systems
Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.
๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.
๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.
๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.
๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.
๐ฐ Compensation Competitive base salary alongside attractive equity package.
๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.
๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave
๐ฆ 401(k)
๐ Commuter Allowance A monthly stipend to help you get to and from the office.
๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.
๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.
๐ฆ Your own personal Yoshi
Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.
","descriptionPlain":"ABOUT CARTESIA\n\nOur mission is to architect AI that learns from and interacts with the world like humans do.\n\nWe're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.\n\nWe're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.\n\n\n\n\nABOUT THE ROLE\n\nThe next leap in model intelligence wonโt come from scale alone โ it will come from better post-training and alignment. Cartesiaโs Post-Training team is developing the methods and systems that make multimodal models truly adaptive, aligned, and grounded in human intent.\n\nAs a Researcher on the Post-Training team, youโll work at the intersection of machine learning research, alignment, and infrastructure, designing new techniques for preference optimization, model evaluation, and feedback-driven learning. Youโll explore how feedback signals can guide models to reason more effectively across modalities, and youโll build the infrastructure to measure and improve these behaviors at scale.\n\nYour work will directly shape how Cartesiaโs foundation models learn, improve, and ultimately connect with people.\n\n\n\n\nYOUR IMPACT\n\n - Own research initiatives to improve the alignment and capabilities of multimodal models\n\n - Develop new post-training methods and evaluation frameworks to measure model improvement\n\n - Partner closely with research, product, and platform teams to define best practices for creating specialized models\n\n - Implement, debug, and scale experimental systems to ensure reliability and reproducibility across training runs\n\n - Translate research findings into production-ready systems that enhance model reasoning, consistency, and human alignment\n\n\n\n\nWHAT YOU BRING\n\n - Deep knowledge of preference optimization and alignment methods, including RLHF and related approaches\n\n - Experience designing evaluations and metrics for generative or multimodal models\n\n - Strong engineering and debugging skills, with experience building or scaling complex ML systems\n\n - Ability to trace and diagnose complex behaviors in model performance across the training and evaluation pipeline\n\n\n\n\nNICE-TO-HAVES\n\n - Experience with multimodal model training (e.g., text, audio, or vision-language models)\n\n - Contributions to alignment research or open-source projects related to model evaluation or fine-tuning\n\n - Background in designing or implementing human-in-the-loop evaluation systems\n\n\n\nNote: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.\n\n\n\n\nMORE DETAILS\n\n๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.\n\n๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.\n\n๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.\n\n๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.\n\n\n\n\nOUR BENEFITS (US EMPLOYEES ONLY) \n\n๐ฐ Compensation Competitive base salary alongside attractive equity package.\n\n๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.\n\n๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave \n\n๐ฆ 401(k)\n\n๐ Commuter Allowance A monthly stipend to help you get to and from the office.\n\n๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.\n\n๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.\n\n๐ฆ Your own personal Yoshi\n\n\n\n\nOUR COMMITMENT TO EQUAL OPPORTUNITY\n\nCartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.","compensation":{"compensationTierSummary":"$180K โ $350K","scrapeableCompensationSalarySummary":"$180K - $350K","compensationTiers":[{"id":"a1414bb2-b628-4991-9214-75bb79e871df","tierSummary":"$180K โ $350K","title":null,"additionalInformation":null,"components":[{"id":"0c089f94-64b6-4f73-895c-366143d09d37","summary":"$180K โ $350K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":180000,"maxValue":350000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":180000,"maxValue":350000}]}},{"id":"38826565-2205-452e-9381-0468a439067e","title":"Research Engineer, Audio Understanding","department":"Research","team":"Data","employmentType":"FullTime","location":"*HQ - San Francisco, CA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-01-06T22:57:40.941+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/cartesia/38826565-2205-452e-9381-0468a439067e","applyUrl":"https://jobs.ashbyhq.com/cartesia/38826565-2205-452e-9381-0468a439067e/application","descriptionHtml":"Our mission is to architect AI that learns from and interacts with the world like humans do.
We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.
Data is one of the most critical inputs to frontier AI. In this role, you'll work across the full data stack - from infrastructure and web-scale data pipelines to modeling and evaluation. You'll develop a deep understanding of how data influences model performance and leverage that knowledge to advance the frontier of multimodal datasets to create new capabilities for AI.
Design and build high-quality datasets for model training and run controlled modeling experiments to measure their impact on model performance and behavior.
Engineer web-scale data pipelines and build systems to annotate and ensure data quality at scale.
Develop techniques for post-training and synthetic data generation to improve model quality and intelligence.
Experience building or working with large multilingual datasets
Experience with generative models (speech, text, or multimodal).
Ability to help guide human annotation and evaluation across multiple languages.
Strong applied ML background with a focus on data-centric approaches.
Excitement for building scalable systems that bridge research and production.
Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.
๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.
๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.
๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.
๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.
๐ฐ Compensation Competitive base salary alongside attractive equity package.
๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.
๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave
๐ฆ 401(k)
๐ Commuter Allowance A monthly stipend to help you get to and from the office.
๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.
๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.
๐ฆ Your own personal Yoshi
Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.
","descriptionPlain":"ABOUT CARTESIA\n\nOur mission is to architect AI that learns from and interacts with the world like humans do.\n\nWe're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.\n\nWe're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.\n\n\n\n\nABOUT THE ROLE\n\nData is one of the most critical inputs to frontier AI. In this role, you'll work across the full data stack - from infrastructure and web-scale data pipelines to modeling and evaluation. You'll develop a deep understanding of how data influences model performance and leverage that knowledge to advance the frontier of multimodal datasets to create new capabilities for AI.\n\n\n\n\nYOUR IMPACT\n\n - Design and build high-quality datasets for model training and run controlled modeling experiments to measure their impact on model performance and behavior.\n\n - Engineer web-scale data pipelines and build systems to annotate and ensure data quality at scale.\n\n - Develop techniques for post-training and synthetic data generation to improve model quality and intelligence.\n\n\n\n\nWHAT YOU BRING\n\n - Experience building or working with large multilingual datasets\n\n - Experience with generative models (speech, text, or multimodal).\n\n - Ability to help guide human annotation and evaluation across multiple languages.\n\n - Strong applied ML background with a focus on data-centric approaches.\n\n - Excitement for building scalable systems that bridge research and production.\n\n\n\nNote: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.\n\n\n\n\nMORE DETAILS\n\n๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.\n\n๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.\n\n๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.\n\n๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.\n\n\n\n\nOUR BENEFITS (US EMPLOYEES ONLY) \n\n๐ฐ Compensation Competitive base salary alongside attractive equity package.\n\n๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.\n\n๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave \n\n๐ฆ 401(k)\n\n๐ Commuter Allowance A monthly stipend to help you get to and from the office.\n\n๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.\n\n๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.\n\n๐ฆ Your own personal Yoshi\n\n\n\n\nOUR COMMITMENT TO EQUAL OPPORTUNITY\n\nCartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.","compensation":{"compensationTierSummary":"$200K โ $350K โข Offers Equity","scrapeableCompensationSalarySummary":"$200K - $350K","compensationTiers":[{"id":"4a409df2-ea4e-4415-a4ea-d6ee8c5c06ba","tierSummary":"$200K โ $350K โข Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"817dbece-bbdd-477f-81a7-675e563d44b0","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"c5c8cdf6-6e23-4106-b432-a80a058524e8","summary":"$200K โ $350K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":200000,"maxValue":350000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":200000,"maxValue":350000}]}},{"id":"84231d95-3bf2-480a-ab2b-fd958f97cf0b","title":"Enterprise Engineer","department":"Engineering","team":"Software Engineering","employmentType":"FullTime","location":"*HQ - San Francisco, CA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-01-08T19:30:18.885+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/cartesia/84231d95-3bf2-480a-ab2b-fd958f97cf0b","applyUrl":"https://jobs.ashbyhq.com/cartesia/84231d95-3bf2-480a-ab2b-fd958f97cf0b/application","descriptionHtml":"Our mission is to architect AI that learns from and interacts with the world like humans do.
We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.
Weโre hiring an Enterprise Engineer to advance our mission of building real-time multimodal intelligence by delivering agentic voice AI solutions directly into production for our customers.
Architect and build enterprise-grade systems such as On Prem Deployments & Agent Infrastructure
Own the design and delivery of durable, first-class platform capabilities shaped by enterprise needs โ the abstractions, core changes, and infrastructure that Cartesia's largest customers build on top of
Turn recurring patterns from customer deployments (gaps, incident themes, eval results) from one-off workarounds into scalable, long-term platform primitives
Define and raise the bar for reliability, security, and operational maturity across Cartesia's enterprise surface area
You'll have significant ownership over the core capabilities that determine whether Cartesia can scale across the most demanding enterprise environments globally
Strong backend engineering fundamentals โ you've designed and shipped infrastructure, platform services, or core abstractions that other teams build on top of
Proficiency in Go and/or Python
You think in terms of long-term maintainability and modularity
Youโre good at collaborating cross-functionally and translating customer feedback into actionable product and platform improvements
Experience with enterprise-grade concerns: deployment in customer-managed infrastructure (VPCs, on-prem), compliance regimes, observability, multi-tenancy, and security hardening
Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.
๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.
๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.
๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.
๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.
๐ฐ Compensation Competitive base salary alongside attractive equity package.
๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.
๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave
๐ฆ 401(k)
๐ Commuter Allowance A monthly stipend to help you get to and from the office.
๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.
๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.
๐ฆ Your own personal Yoshi
Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.
","descriptionPlain":"ABOUT CARTESIA\n\nOur mission is to architect AI that learns from and interacts with the world like humans do.\n\nWe're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.\n\nWe're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.\n\n\n\n\nABOUT THE ROLE\n\nWeโre hiring an Enterprise Engineer to advance our mission of building real-time multimodal intelligence by delivering agentic voice AI solutions directly into production for our customers.\n\n\n\n\nYOUR IMPACT\n\n - Architect and build enterprise-grade systems such as On Prem Deployments & Agent Infrastructure\n\n - Own the design and delivery of durable, first-class platform capabilities shaped by enterprise needs โ the abstractions, core changes, and infrastructure that Cartesia's largest customers build on top of\n\n - Turn recurring patterns from customer deployments (gaps, incident themes, eval results) from one-off workarounds into scalable, long-term platform primitives\n\n - Define and raise the bar for reliability, security, and operational maturity across Cartesia's enterprise surface area\n\n - You'll have significant ownership over the core capabilities that determine whether Cartesia can scale across the most demanding enterprise environments globally\n\n\n\n\n WHAT YOU BRING\n\n - Strong backend engineering fundamentals โ you've designed and shipped infrastructure, platform services, or core abstractions that other teams build on top of\n\n - Proficiency in Go and/or Python\n\n - You think in terms of long-term maintainability and modularity\n\n - Youโre good at collaborating cross-functionally and translating customer feedback into actionable product and platform improvements\n\n\n\n\nNICE-TO-HAVES\n\n - Experience with enterprise-grade concerns: deployment in customer-managed infrastructure (VPCs, on-prem), compliance regimes, observability, multi-tenancy, and security hardening\n\n\n\nNote: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.\n\n\n\n\nMORE DETAILS\n\n๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.\n\n๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.\n\n๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.\n\n๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.\n\n\n\n\nOUR BENEFITS (US EMPLOYEES ONLY) \n\n๐ฐ Compensation Competitive base salary alongside attractive equity package.\n\n๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.\n\n๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave \n\n๐ฆ 401(k)\n\n๐ Commuter Allowance A monthly stipend to help you get to and from the office.\n\n๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.\n\n๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.\n\n๐ฆ Your own personal Yoshi\n\n\n\n\nOUR COMMITMENT TO EQUAL OPPORTUNITY\n\nCartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.","compensation":{"compensationTierSummary":"$180K โ $250K โข Offers Equity","scrapeableCompensationSalarySummary":"$180K - $250K","compensationTiers":[{"id":"216256b4-0dd4-4667-bdf9-506e234f8e27","tierSummary":"$180K โ $250K โข Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"139f3103-a671-45eb-8fa1-97deb6c910f4","summary":"$180K โ $250K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":180000,"maxValue":250000},{"id":"5f63feaf-5bd5-4e6a-8dee-d881429ec1f8","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":180000,"maxValue":250000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"d45f51e9-e7eb-42c5-b986-d3b5d50454c5","title":"Forward Deployed Engineer","department":"Engineering","team":"Software Engineering","employmentType":"FullTime","location":"*HQ - San Francisco, CA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-02-11T22:54:11.264+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/cartesia/d45f51e9-e7eb-42c5-b986-d3b5d50454c5","applyUrl":"https://jobs.ashbyhq.com/cartesia/d45f51e9-e7eb-42c5-b986-d3b5d50454c5/application","descriptionHtml":"Our mission is to architect AI that learns from and interacts with the world like humans do.
We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.
Weโre hiring a Forward Deployed Engineer to advance our mission of building real-time multimodal intelligence by embedding directly with enterprise customers and delivering agentic voice AI solutions into their production environments. FDEs maximize customer success and revenue by turning Cartesiaโs core product into deployed, high-impact solutions.
Write and ship production-grade code โ Design, build, and deploy voice AI systems that power real enterprise workflows.
Own deployments end-to-end โ Lead discovery, architecture, implementation, and rollout for strategic customer engagements.
Drive progress in ambiguity โ Move projects forward when requirements are incomplete, constraints evolve, or systems fail in unexpected ways.
Deliver across complex infrastructure โ Deploy across cloud, VPC, and on-prem environments while navigating security, networking, and compliance requirements.
Unblock critical integrations โ Diagnose and resolve integration failures, performance bottlenecks, and deployment issues under real-world constraints.
Drive expansion through building โ Identify new use cases and prototype solutions that deepen adoption and increase long-term customer value.
Turn customer signal into platform leverage โ Surface recurring patterns to engineering and product teams, influencing roadmap and reusable capabilities.
Build for scale โ Transform one-off solutions into repeatable playbooks, templates, and reference architectures.
4+ years of experience building and operating production software systems
Strong backend engineering fundamentals and a track record of delivering reliable systems
Experience integrating APIs and distributed services into real-world infrastructure
Comfort operating across cloud and containerized environments (AWS, GCP, Kubernetes)
Experience navigating enterprise constraints: authentication, networking, observability, and security reviews
Ability to take ambiguous problems, define structure, and drive them to resolution
High ownership and bias for action โ you move quickly without waiting for perfect specs
Clear, structured communicator comfortable engaging with senior technical stakeholders
Experience in forward-deployed, solutions, implementation, or customer-facing engineering roles
Experience deploying AI/ML systems into production environments
Familiarity with real-time systems (voice, streaming APIs, telephony, low-latency systems)
Experience with on-prem or hybrid infrastructure deployments
Multilingual fluency or experience supporting customers across international markets and non-English language deployments.
Startup or founder experience
Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.
๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.
๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.
๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.
๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.
๐ฐ Compensation Competitive base salary alongside attractive equity package.
๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.
๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave
๐ฆ 401(k)
๐ Commuter Allowance A monthly stipend to help you get to and from the office.
๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.
๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.
๐ฆ Your own personal Yoshi
Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.
","descriptionPlain":"ABOUT CARTESIA\n\nOur mission is to architect AI that learns from and interacts with the world like humans do.\n\nWe're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.\n\nWe're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.\n\n\n\n\nABOUT THE ROLE\n\nWeโre hiring a Forward Deployed Engineer to advance our mission of building real-time multimodal intelligence by embedding directly with enterprise customers and delivering agentic voice AI solutions into their production environments. FDEs maximize customer success and revenue by turning Cartesiaโs core product into deployed, high-impact solutions.\n\n\n\n\nYOUR IMPACT\n\n - Write and ship production-grade code โ Design, build, and deploy voice AI systems that power real enterprise workflows.\n\n - Own deployments end-to-end โ Lead discovery, architecture, implementation, and rollout for strategic customer engagements.\n Drive progress in ambiguity โ Move projects forward when requirements are incomplete, constraints evolve, or systems fail in unexpected ways.\n\n - Deliver across complex infrastructure โ Deploy across cloud, VPC, and on-prem environments while navigating security, networking, and compliance requirements.\n\n - Unblock critical integrations โ Diagnose and resolve integration failures, performance bottlenecks, and deployment issues under real-world constraints.\n\n - Drive expansion through building โ Identify new use cases and prototype solutions that deepen adoption and increase long-term customer value.\n\n - Turn customer signal into platform leverage โ Surface recurring patterns to engineering and product teams, influencing roadmap and reusable capabilities.\n\n - Build for scale โ Transform one-off solutions into repeatable playbooks, templates, and reference architectures.\n\n\n\n\n WHAT YOU BRING\n\n - 4+ years of experience building and operating production software systems\n\n - Strong backend engineering fundamentals and a track record of delivering reliable systems\n\n - Experience integrating APIs and distributed services into real-world infrastructure\n\n - Comfort operating across cloud and containerized environments (AWS, GCP, Kubernetes)\n\n - Experience navigating enterprise constraints: authentication, networking, observability, and security reviews\n\n - Ability to take ambiguous problems, define structure, and drive them to resolution\n\n - High ownership and bias for action โ you move quickly without waiting for perfect specs\n\n - Clear, structured communicator comfortable engaging with senior technical stakeholders\n\n\n\n\nNICE-TO-HAVES\n\n - Experience in forward-deployed, solutions, implementation, or customer-facing engineering roles\n\n - Experience deploying AI/ML systems into production environments\n\n - Familiarity with real-time systems (voice, streaming APIs, telephony, low-latency systems)\n\n - Experience with on-prem or hybrid infrastructure deployments\n\n - Multilingual fluency or experience supporting customers across international markets and non-English language deployments.\n\n - Startup or founder experience\n\n\n\nNote: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.\n\n\n\n\nMORE DETAILS\n\n๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.\n\n๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.\n\n๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.\n\n๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.\n\n\n\n\nOUR BENEFITS (US EMPLOYEES ONLY) \n\n๐ฐ Compensation Competitive base salary alongside attractive equity package.\n\n๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.\n\n๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave \n\n๐ฆ 401(k)\n\n๐ Commuter Allowance A monthly stipend to help you get to and from the office.\n\n๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.\n\n๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.\n\n๐ฆ Your own personal Yoshi\n\n\n\n\nOUR COMMITMENT TO EQUAL OPPORTUNITY\n\nCartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.","compensation":{"compensationTierSummary":"$180K โ $250K โข Offers Equity","scrapeableCompensationSalarySummary":"$180K - $250K","compensationTiers":[{"id":"b8e003bc-0028-43ec-8bc9-87d6463abc4c","tierSummary":"$180K โ $250K โข Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"fc30612a-2146-4979-80fb-d3a7970bb22e","summary":"$180K โ $250K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":180000,"maxValue":250000},{"id":"c1c35676-9bd6-44a8-949c-bb90046e8b13","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":180000,"maxValue":250000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"dc61071c-63b8-4df3-8989-7ca8442bdaaf","title":"Research Engineer, Data (India)","department":"Research","team":"Data","employmentType":"FullTime","location":"Bangalore","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-02-20T20:57:11.619+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Karnataka","addressCountry":"India","addressLocality":"Bangalore"}},"jobUrl":"https://jobs.ashbyhq.com/cartesia/dc61071c-63b8-4df3-8989-7ca8442bdaaf","applyUrl":"https://jobs.ashbyhq.com/cartesia/dc61071c-63b8-4df3-8989-7ca8442bdaaf/application","descriptionHtml":"Our mission is to architect AI that learns from and interacts with the world like humans do.
We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.
Data is one of the most critical inputs to frontier AI. In this role, you'll work across the full data stack - from infrastructure and web-scale data pipelines to modeling and evaluation. You'll develop a deep understanding of how data influences model performance and leverage that knowledge to advance the frontier of multimodal datasets to create new capabilities for AI.
Design and build high-quality datasets for model training and run controlled modeling experiments to measure their impact on model performance and behavior.
Engineer web-scale data pipelines and build systems to annotate and ensure data quality at scale.
Develop techniques for post-training and synthetic data generation to improve model quality and intelligence.
Experience building or working with large multilingual datasets
Experience with generative models (speech, text, or multimodal).
Ability to help guide human annotation and evaluation across multiple languages.
Strong applied ML background with a focus on data-centric approaches.
Excitement for building scalable systems that bridge research and production.
๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.
๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.
๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.
๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.
๐ฐ Compensation Competitive base salary alongside attractive equity package.
๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.
๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave
๐ฆ 401(k)
๐ Commuter Allowance A monthly stipend to help you get to and from the office.
๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.
๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.
๐ฆ Your own personal Yoshi
Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.
","descriptionPlain":"ABOUT CARTESIA\n\nOur mission is to architect AI that learns from and interacts with the world like humans do.\n\nWe're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.\n\nWe're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.\n\n\n\n\nABOUT THE ROLE\n\nData is one of the most critical inputs to frontier AI. In this role, you'll work across the full data stack - from infrastructure and web-scale data pipelines to modeling and evaluation. You'll develop a deep understanding of how data influences model performance and leverage that knowledge to advance the frontier of multimodal datasets to create new capabilities for AI.\n\nย \n\n\nYOUR IMPACT\n\n - Design and build high-quality datasets for model training and run controlled modeling experiments to measure their impact on model performance and behavior.\n\n - Engineer web-scale data pipelines and build systems to annotate and ensure data quality at scale.\n\n - Develop techniques for post-training and synthetic data generation to improve model quality and intelligence.\n\n\n\n\nWHAT YOU BRING\n\n - Experience building or working with large multilingual datasets\n\n - Experience with generative models (speech, text, or multimodal).\n\n - Ability to help guide human annotation and evaluation across multiple languages.\n\n - Strong applied ML background with a focus on data-centric approaches.\n\n - Excitement for building scalable systems that bridge research and production.\n\n\n\n\nMORE DETAILS\n\n๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.\n\n๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.\n\n๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.\n\n๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.\n\n\n\n\nOUR BENEFITS (US EMPLOYEES ONLY) \n\n๐ฐ Compensation Competitive base salary alongside attractive equity package.\n\n๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.\n\n๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave \n\n๐ฆ 401(k)\n\n๐ Commuter Allowance A monthly stipend to help you get to and from the office.\n\n๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.\n\n๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.\n\n๐ฆ Your own personal Yoshi\n\n\n\n\nOUR COMMITMENT TO EQUAL OPPORTUNITY\n\nCartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.","compensation":{"compensationTierSummary":"โน90L โ โน1.1Cr โข Offers Equity","scrapeableCompensationSalarySummary":"โน90L - โน1.1Cr","compensationTiers":[{"id":"98285742-8604-416d-a7a2-4ae7473fd2da","tierSummary":"โน90L โ โน1.1Cr โข Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"58d2bf0f-f689-42ae-8390-264aa885674c","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"6d6b9945-7f40-44b3-91fe-cb2b4a6a73c5","summary":"โน90L โ โน1.1Cr","compensationType":"Salary","interval":"1 YEAR","currencyCode":"INR","minValue":9000000,"maxValue":11000000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"INR","minValue":9000000,"maxValue":11000000}]}},{"id":"6d860f5a-b9d9-4df2-b5e5-b12ac80632a4","title":"Forward Deployed Engineer (India)","department":"Engineering","team":"Software Engineering","employmentType":"FullTime","location":"Bangalore","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-02-25T22:55:45.527+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Karnataka","addressCountry":"India","addressLocality":"Bangalore"}},"jobUrl":"https://jobs.ashbyhq.com/cartesia/6d860f5a-b9d9-4df2-b5e5-b12ac80632a4","applyUrl":"https://jobs.ashbyhq.com/cartesia/6d860f5a-b9d9-4df2-b5e5-b12ac80632a4/application","descriptionHtml":"Our mission is to architect AI that learns from and interacts with the world like humans do.
We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.
Weโre hiring a Forward Deployed Engineer to advance our mission of building real-time multimodal intelligence by embedding directly with enterprise customers and delivering agentic voice AI solutions into their production environments. FDEs maximize customer success and revenue by turning Cartesiaโs core product into deployed, high-impact solutions.
Write and ship production-grade code โ Design, build, and deploy voice AI systems that power real enterprise workflows.
Own deployments end-to-end โ Lead discovery, architecture, implementation, and rollout for strategic customer engagements.
Drive progress in ambiguity โ Move projects forward when requirements are incomplete, constraints evolve, or systems fail in unexpected ways.
Deliver across complex infrastructure โ Deploy across cloud, VPC, and on-prem environments while navigating security, networking, and compliance requirements.
Unblock critical integrations โ Diagnose and resolve integration failures, performance bottlenecks, and deployment issues under real-world constraints.
Drive expansion through building โ Identify new use cases and prototype solutions that deepen adoption and increase long-term customer value.
Turn customer signal into platform leverage โ Surface recurring patterns to engineering and product teams, influencing roadmap and reusable capabilities.
Build for scale โ Transform one-off solutions into repeatable playbooks, templates, and reference architectures.
4+ years of experience building and operating production software systems
Strong backend engineering fundamentals and a track record of delivering reliable systems
Experience integrating APIs and distributed services into real-world infrastructure
Comfort operating across cloud and containerized environments (AWS, GCP, Kubernetes)
Experience navigating enterprise constraints: authentication, networking, observability, and security reviews
Ability to take ambiguous problems, define structure, and drive them to resolution
High ownership and bias for action โ you move quickly without waiting for perfect specs
Clear, structured communicator comfortable engaging with senior technical stakeholders
Experience in forward-deployed, solutions, implementation, or customer-facing engineering roles
Experience deploying AI/ML systems into production environments
Familiarity with real-time systems (voice, streaming APIs, telephony, low-latency systems)
Experience with on-prem or hybrid infrastructure deployments
Multilingual fluency or experience supporting customers across international markets and non-English language deployments.
Startup or founder experience
๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.
๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.
๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.
๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.
๐ฐ Compensation Competitive base salary alongside attractive equity package.
๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.
๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave
๐ฆ 401(k)
๐ Commuter Allowance A monthly stipend to help you get to and from the office.
๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.
๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.
๐ฆ Your own personal Yoshi
Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.
","descriptionPlain":"ABOUT CARTESIA\n\nOur mission is to architect AI that learns from and interacts with the world like humans do.\n\nWe're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.\n\nWe're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.\n\n\n\n\nABOUT THE ROLE\n\nWeโre hiring a Forward Deployed Engineer to advance our mission of building real-time multimodal intelligence by embedding directly with enterprise customers and delivering agentic voice AI solutions into their production environments. FDEs maximize customer success and revenue by turning Cartesiaโs core product into deployed, high-impact solutions.\n\n\n\n\nYOUR IMPACT\n\n - Write and ship production-grade code โ Design, build, and deploy voice AI systems that power real enterprise workflows.\n\n - Own deployments end-to-end โ Lead discovery, architecture, implementation, and rollout for strategic customer engagements.\n Drive progress in ambiguity โ Move projects forward when requirements are incomplete, constraints evolve, or systems fail in unexpected ways.\n\n - Deliver across complex infrastructure โ Deploy across cloud, VPC, and on-prem environments while navigating security, networking, and compliance requirements.\n\n - Unblock critical integrations โ Diagnose and resolve integration failures, performance bottlenecks, and deployment issues under real-world constraints.\n\n - Drive expansion through building โ Identify new use cases and prototype solutions that deepen adoption and increase long-term customer value.\n\n - Turn customer signal into platform leverage โ Surface recurring patterns to engineering and product teams, influencing roadmap and reusable capabilities.\n\n - Build for scale โ Transform one-off solutions into repeatable playbooks, templates, and reference architectures.\n\n\n\n\n WHAT YOU BRING\n\n - 4+ years of experience building and operating production software systems\n\n - Strong backend engineering fundamentals and a track record of delivering reliable systems\n\n - Experience integrating APIs and distributed services into real-world infrastructure\n\n - Comfort operating across cloud and containerized environments (AWS, GCP, Kubernetes)\n\n - Experience navigating enterprise constraints: authentication, networking, observability, and security reviews\n\n - Ability to take ambiguous problems, define structure, and drive them to resolution\n\n - High ownership and bias for action โ you move quickly without waiting for perfect specs\n\n - Clear, structured communicator comfortable engaging with senior technical stakeholders\n\n\n\n\nNICE-TO-HAVES\n\n - Experience in forward-deployed, solutions, implementation, or customer-facing engineering roles\n\n - Experience deploying AI/ML systems into production environments\n\n - Familiarity with real-time systems (voice, streaming APIs, telephony, low-latency systems)\n\n - Experience with on-prem or hybrid infrastructure deployments\n\n - Multilingual fluency or experience supporting customers across international markets and non-English language deployments.\n\n - Startup or founder experience\n\n\n\n\nMORE DETAILS\n\n๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.\n\n๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.\n\n๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.\n\n๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.\n\n\n\n\nOUR BENEFITS (US EMPLOYEES ONLY) \n\n๐ฐ Compensation Competitive base salary alongside attractive equity package.\n\n๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.\n\n๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave \n\n๐ฆ 401(k)\n\n๐ Commuter Allowance A monthly stipend to help you get to and from the office.\n\n๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.\n\n๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.\n\n๐ฆ Your own personal Yoshi\n\n\n\n\nOUR COMMITMENT TO EQUAL OPPORTUNITY\n\nCartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.","compensation":{"compensationTierSummary":"โน70L โ โน90L โข Offers Equity","scrapeableCompensationSalarySummary":"โน70L - โน90L","compensationTiers":[{"id":"a6286167-62fd-4451-9012-c1513230bb98","tierSummary":"โน70L โ โน90L โข Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"13ca3ba5-366d-4067-b5e6-dd59913a07cc","summary":"โน70L โ โน90L","compensationType":"Salary","interval":"1 YEAR","currencyCode":"INR","minValue":7000000,"maxValue":9000000},{"id":"ffb8720f-3c6e-4904-9adb-6432093b1e74","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"INR","minValue":7000000,"maxValue":9000000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"95847ad6-b901-4fa8-bb62-57963d4b1a89","title":"Founding Recruiter, India","department":"People","team":"Talent","employmentType":"FullTime","location":"Bangalore","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-04-13T18:58:36.934+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"Karnataka","addressCountry":"India","addressLocality":"Bangalore"}},"jobUrl":"https://jobs.ashbyhq.com/cartesia/95847ad6-b901-4fa8-bb62-57963d4b1a89","applyUrl":"https://jobs.ashbyhq.com/cartesia/95847ad6-b901-4fa8-bb62-57963d4b1a89/application","descriptionHtml":"Our mission is to architect AI that learns from and interacts with the world like humans do.
We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.
Weโre looking for our first Recruiter based in India, to help us scale our tech, go-to-market and business teams with the same thoughtfulness and precision that defines our US hiring. Youโll be responsible for identifying and hiring top talent across multiple functions including research, engineering, sales, marketing, operations, and customer success โ partnering closely with leadership and helping shape how we tell the Cartesia story to the world.
This is a high-impact, hands-on role for someone who thrives in a fast-paced startup environment and brings a mix of scrappiness, strategy, and care to every hire.
Own full-cycle recruiting for all Bangalore-based roles, from sourcing to close
Help to scale our interview processes in the country, including interview plans, rubrics and assessment criteria
Partner with hiring managers to deeply understand each teamโs goals and build tailored hiring strategies
Craft compelling outreach and deliver an exceptional candidate experience that reflects Cartesiaโs culture and mission
Build diverse, high-quality pipelines through sourcing, referrals, and creative channels
Manage the interview process end-to-end, ensuring a smooth, inclusive, and thoughtful candidate journey
Track hiring metrics and use data to refine processes and improve outcomes
4+ years of experience in tech, GTM or business recruiting, ideally at a high-growth startup
A proven track record of sourcing exceptional talent, and strong candidate engagement skills
Ability to manage multiple searches at once, often with evolving needs
Clear communication, attention to detail, and a high bar for candidate experience
Comfort working with ambiguity and adapting quickly as we scale
Bonus: experience recruiting at an AI-focussed company
๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.
๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.
๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.
๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.
๐ฐ Compensation Competitive base salary alongside attractive equity package.
๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.
๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave
๐ฆ 401(k)
๐ Commuter Allowance A monthly stipend to help you get to and from the office.
๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.
๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.
๐ฆ Your own personal Yoshi
Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.
","descriptionPlain":"ABOUT CARTESIA\n\nOur mission is to architect AI that learns from and interacts with the world like humans do.\n\nWe're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.\n\nWe're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.\n\n\n\n\nABOUT THE ROLE\n\nWeโre looking for our first Recruiter based in India, to help us scale our tech, go-to-market and business teams with the same thoughtfulness and precision that defines our US hiring. Youโll be responsible for identifying and hiring top talent across multiple functions including research, engineering, sales, marketing, operations, and customer success โ partnering closely with leadership and helping shape how we tell the Cartesia story to the world.\n\nThis is a high-impact, hands-on role for someone who thrives in a fast-paced startup environment and brings a mix of scrappiness, strategy, and care to every hire.\n\n\n\n\nYOUR IMPACT\n\n - Own full-cycle recruiting for all Bangalore-based roles, from sourcing to close\n\n - Help to scale our interview processes in the country, including interview plans, rubrics and assessment criteria\n\n - Partner with hiring managers to deeply understand each teamโs goals and build tailored hiring strategies\n\n - Craft compelling outreach and deliver an exceptional candidate experience that reflects Cartesiaโs culture and mission\n\n - Build diverse, high-quality pipelines through sourcing, referrals, and creative channels\n\n - Manage the interview process end-to-end, ensuring a smooth, inclusive, and thoughtful candidate journey\n\n - Track hiring metrics and use data to refine processes and improve outcomes\n\n\n\n\nWHAT YOU BRING\n\n - 4+ years of experience in tech, GTM or business recruiting, ideally at a high-growth startup\n\n - A proven track record of sourcing exceptional talent, and strong candidate engagement skills\n\n - Ability to manage multiple searches at once, often with evolving needs\n\n - Clear communication, attention to detail, and a high bar for candidate experience\n\n - Comfort working with ambiguity and adapting quickly as we scale\n\n - Bonus: experience recruiting at an AI-focussed company\n\n\n\n\nMORE DETAILS\n\n๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.\n\n๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.\n\n๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.\n\n๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.\n\n\n\n\nOUR BENEFITS (US EMPLOYEES ONLY) \n\n๐ฐ Compensation Competitive base salary alongside attractive equity package.\n\n๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.\n\n๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave \n\n๐ฆ 401(k)\n\n๐ Commuter Allowance A monthly stipend to help you get to and from the office.\n\n๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.\n\n๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.\n\n๐ฆ Your own personal Yoshi\n\n\n\n\nOUR COMMITMENT TO EQUAL OPPORTUNITY\n\nCartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.","compensation":{"compensationTierSummary":"โน30L โ โน50L โข Offers Equity","scrapeableCompensationSalarySummary":"โน30L - โน50L","compensationTiers":[{"id":"b17e892e-b635-41ee-879b-94f2ee975294","tierSummary":"โน30L โ โน50L โข Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"0af4027a-6852-420d-888c-805dbf4e51e4","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"75339791-3ff0-4948-9292-ab02461849aa","summary":"โน30L โ โน50L","compensationType":"Salary","interval":"1 YEAR","currencyCode":"INR","minValue":3000000,"maxValue":5000000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"INR","minValue":3000000,"maxValue":5000000}]}},{"id":"16cd6cd7-454b-4e44-9a04-6a4677a3e920","title":"Software Engineer, Agents","department":"Engineering","team":"Product Engineering","employmentType":"FullTime","location":"*HQ - San Francisco, CA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-05-15T20:54:31.354+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/cartesia/16cd6cd7-454b-4e44-9a04-6a4677a3e920","applyUrl":"https://jobs.ashbyhq.com/cartesia/16cd6cd7-454b-4e44-9a04-6a4677a3e920/application","descriptionHtml":"Our mission is to architect AI that learns from and interacts with the world like humans do.
We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.
Cartesia is hiring a Software Engineer, Agents to build the backend platform behind Line, our voice agents product. The Agents stack โ a Go API with Python workers โ is what customers rely on to run real-time, production-grade voice agents. You'll own backend work end-to-end and directly shape the latency, reliability, and developer experience of every agent built on Cartesia.
Build and operate the distributed systems behind Cartesia's voice agents: load balancing servers, workers, and the realtime media pipelines that tie them together.
Take projects from spec to production: design, build, ship, monitor, iterate.
Make the architectural calls that compound over time โ latency budgets, reliability targets, scaling primitives โ and clearly articulate the tradeoffs.
Define the developer experience for engineers building on Cartesia: APIs, observability, and applied evaluations.
3+ years building distributed backend systems in production, ideally at a high-growth startup. We care more about what you've shipped than strict YOE.
Strong product instincts for platform work - you think in customer-facing latency, reliability, and developer experience, and you have opinions on what to build and why.
Second-order thinking about backend architecture - you can explain why a design choice was made and what it trades off.
Fluent, day-to-day use of AI coding tools, and a habit of keeping pace with the frontier.
A strong communicator with both technical and non-technical audiences; comfortable writing clear specs and contributing actively in design reviews.
Experience with Go and/or Python in a backend platform context.
Realtime media systems in production (WebRTC, SIP, RTP, low-latency audio)
Deep experience with cloud and infra primitives (Kubernetes, Docker, NATS, gRPC, OpenTelemetry and modern observability stacks).
Distributed systems at scale dealing with non-trivial throughput, autoscaling, multi-region architectures.
Voice agents or agent framework experience (Pipecat, LiveKit, OpenAI Agents SDK, Claude SDK, Vercel AI SDK).
Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.
๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.
๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.
๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.
๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.
๐ฐ Compensation Competitive base salary alongside attractive equity package.
๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.
๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave
๐ฆ 401(k)
๐ Commuter Allowance A monthly stipend to help you get to and from the office.
๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.
๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.
๐ฆ Your own personal Yoshi
Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.
","descriptionPlain":"ABOUT CARTESIA\n\nOur mission is to architect AI that learns from and interacts with the world like humans do.\n\nWe're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.\n\nWe're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.\n\n\n\n\nABOUT THE ROLE\n\nCartesia is hiring a Software Engineer, Agents to build the backend platform behind Line, our voice agents product. The Agents stack โ a Go API with Python workers โ is what customers rely on to run real-time, production-grade voice agents. You'll own backend work end-to-end and directly shape the latency, reliability, and developer experience of every agent built on Cartesia.\n\nย \n\n\nYOUR IMPACT\n\n - Build and operate the distributed systems behind Cartesia's voice agents: load balancing servers, workers, and the realtime media pipelines that tie them together.\n\n - Take projects from spec to production: design, build, ship, monitor, iterate.\n\n - Make the architectural calls that compound over time โ latency budgets, reliability targets, scaling primitives โ and clearly articulate the tradeoffs.\n\n - Define the developer experience for engineers building on Cartesia: APIs, observability, and applied evaluations.\n\nย \n\n\n WHAT YOU BRING\n\n - 3+ years building distributed backend systems in production, ideally at a high-growth startup. We care more about what you've shipped than strict YOE.\n\n - Strong product instincts for platform work - you think in customer-facing latency, reliability, and developer experience, and you have opinions on what to build and why.\n\n - Second-order thinking about backend architecture - you can explain why a design choice was made and what it trades off.\n\n - Fluent, day-to-day use of AI coding tools, and a habit of keeping pace with the frontier.\n\n - A strong communicator with both technical and non-technical audiences; comfortable writing clear specs and contributing actively in design reviews.\n\nย \n\n\nNICE-TO-HAVES\n\n - Experience with Go and/or Python in a backend platform context.\n\n - Realtime media systems in production (WebRTC, SIP, RTP, low-latency audio)\n\n - Deep experience with cloud and infra primitives (Kubernetes, Docker, NATS, gRPC, OpenTelemetry and modern observability stacks).\n\n - Distributed systems at scale dealing with non-trivial throughput, autoscaling, multi-region architectures.\n\n - Voice agents or agent framework experience (Pipecat, LiveKit, OpenAI Agents SDK, Claude SDK, Vercel AI SDK).\n\n\n\nNote: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.\n\n\n\n\nMORE DETAILS\n\n๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.\n\n๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.\n\n๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.\n\n๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.\n\n\n\n\nOUR BENEFITS (US EMPLOYEES ONLY) \n\n๐ฐ Compensation Competitive base salary alongside attractive equity package.\n\n๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.\n\n๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave \n\n๐ฆ 401(k)\n\n๐ Commuter Allowance A monthly stipend to help you get to and from the office.\n\n๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.\n\n๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.\n\n๐ฆ Your own personal Yoshi\n\n\n\n\nOUR COMMITMENT TO EQUAL OPPORTUNITY\n\nCartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.","compensation":{"compensationTierSummary":"$180K โ $250K โข Offers Equity","scrapeableCompensationSalarySummary":"$180K - $250K","compensationTiers":[{"id":"a76b1a1f-76bf-4914-aa6c-cd2f59134a1d","tierSummary":"$180K โ $250K โข Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"a451ddfd-07fb-4b3f-935a-4bd9f333f7d9","summary":"$180K โ $250K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":180000,"maxValue":250000},{"id":"d0448710-8c03-41f9-84be-f1d50f0c1f3e","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":180000,"maxValue":250000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"93d26b1a-b065-48a5-889a-9314cac1c9a8","title":"Technical Account Manager","department":"GTM","team":"GTM","employmentType":"FullTime","location":"*HQ - San Francisco, CA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-04-21T19:29:13.289+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/cartesia/93d26b1a-b065-48a5-889a-9314cac1c9a8","applyUrl":"https://jobs.ashbyhq.com/cartesia/93d26b1a-b065-48a5-889a-9314cac1c9a8/application","descriptionHtml":"Our mission is to architect AI that learns from and interacts with the world like humans do.
We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.
We're looking to hire a Technical Account Manager to own the enterprise customer technical relationship from signed contract through production and beyond. As a key member of our early GTM team, you'll drive customers to go-live, keep them healthy, and grow their usage over timeโ scoping problems, removing blockers, bringing the right people, and driving to conclusion.
Own the full post-sale technical relationship for a book of enterprise accounts, from pre-go-live scoping through post-launch stabilization and expansion.
Drive customers to go-live with urgency and precision: define success criteria with senior technical stakeholders, design implementation strategy per customer, run daily standups and 30/60/90 onboarding reviews, and project manage the rollout end-to-end.
Independently triage customer technical issues โ distinguishing product bugs, integration failures, and customer-side misconfigurations โ and route to the right internal owner on the first try.
Lead FDEs through implementation: set direction, manage scope, and serve as the primary technical counterpart for the customer, not a project manager with a spreadsheet.
Translate customer needs into crisp internal documentation like clear bug reports, feature requests with full context, and scope change docs, not vague Slack threads.
Monitor account health proactively, identify at-risk customers before problems escalate, and drive consumption and usage growth across the book.
Surface expansion opportunities to AMs with specific context. Flag upsell-ready accounts, build the handoff, and understand the revenue connection between customer health and growth.
Build the TAM playbook as a byproduct of execution: 30/60/90 framework, escalation paths, go-live checklists, and technical champion management.
Partner with Product and Engineering as the voice of the customer โ turn customer pain into platform improvements and close the feedback loop.
6+ years of experience in technical account management, customer success, solutions engineering, or a related customer-facing technical role at a high-growth B2B company
Genuinely technical: can read API docs, understand system architecture, triage integration issues, and hold a real conversation with an engineer
Proven ability to manage a complex multi-stakeholder book simultaneously: know which fires to fight and which to watch, with prioritization judgment over process compliance
Strong project management instincts without being a \"project manager\" โ can run a complex implementation end-to-end and keep 15 accounts moving at once
Excellent problem scoper: hears \"it's broken\" and turns it into a clear problem statement, routes it correctly on the first try, and drives to resolution
Strong communicator across altitudes โ can run a daily standup with engineers and a QBR with a VP without losing substance in either direction
Commercially aware: sees the connection between customer health and revenue growth and actively drives consumption, retention, and expansion โ not just satisfaction
High ownership, high autonomy: comfortable making decisions without asking permission and being accountable for customer outcomes
Fluent with AI agents and tools to manage account load, automate status tracking, and focus time on judgment-intensive work
Experience in voice AI, real-time audio/video, or telephony infrastructure
Background where technical account management was a revenue-driving function, not a support function
Infrastructure, developer tools, or API-first product experience
Experience scaling from Series A/B through growth stage and adapting the customer motion as the business evolves.
Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.
๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.
๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.
๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.
๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.
๐ฐ Compensation Competitive base salary alongside attractive equity package.
๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.
๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave
๐ฆ 401(k)
๐ Commuter Allowance A monthly stipend to help you get to and from the office.
๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.
๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.
๐ฆ Your own personal Yoshi
Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.
","descriptionPlain":"ABOUT CARTESIA\n\nOur mission is to architect AI that learns from and interacts with the world like humans do.\n\nWe're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.\n\nWe're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.\n\n\n\n\nABOUT THE ROLE\n\nWe're looking to hire a Technical Account Manager to own the enterprise customer technical relationship from signed contract through production and beyond. As a key member of our early GTM team, you'll drive customers to go-live, keep them healthy, and grow their usage over timeโ scoping problems, removing blockers, bringing the right people, and driving to conclusion.\n\n\n\n\nYOUR IMPACT\n\n - Own the full post-sale technical relationship for a book of enterprise accounts, from pre-go-live scoping through post-launch stabilization and expansion.\n\n - Drive customers to go-live with urgency and precision: define success criteria with senior technical stakeholders, design implementation strategy per customer, run daily standups and 30/60/90 onboarding reviews, and project manage the rollout end-to-end.\n\n - Independently triage customer technical issues โ distinguishing product bugs, integration failures, and customer-side misconfigurations โ and route to the right internal owner on the first try.\n\n - Lead FDEs through implementation: set direction, manage scope, and serve as the primary technical counterpart for the customer, not a project manager with a spreadsheet.\n\n - Translate customer needs into crisp internal documentation like clear bug reports, feature requests with full context, and scope change docs, not vague Slack threads.\n\n - Monitor account health proactively, identify at-risk customers before problems escalate, and drive consumption and usage growth across the book.\n\n - Surface expansion opportunities to AMs with specific context. Flag upsell-ready accounts, build the handoff, and understand the revenue connection between customer health and growth.\n\n - Build the TAM playbook as a byproduct of execution: 30/60/90 framework, escalation paths, go-live checklists, and technical champion management.\n\n - Partner with Product and Engineering as the voice of the customer โ turn customer pain into platform improvements and close the feedback loop.\n\n\n\n\nWHAT YOU BRING\n\n - 6+ years of experience in technical account management, customer success, solutions engineering, or a related customer-facing technical role at a high-growth B2B company\n\n - Genuinely technical: can read API docs, understand system architecture, triage integration issues, and hold a real conversation with an engineer\n\n - Proven ability to manage a complex multi-stakeholder book simultaneously: know which fires to fight and which to watch, with prioritization judgment over process compliance\n\n - Strong project management instincts without being a \"project manager\" โ can run a complex implementation end-to-end and keep 15 accounts moving at once\n\n - Excellent problem scoper: hears \"it's broken\" and turns it into a clear problem statement, routes it correctly on the first try, and drives to resolution\n\n - Strong communicator across altitudes โ can run a daily standup with engineers and a QBR with a VP without losing substance in either direction\n\n - Commercially aware: sees the connection between customer health and revenue growth and actively drives consumption, retention, and expansion โ not just satisfaction\n\n - High ownership, high autonomy: comfortable making decisions without asking permission and being accountable for customer outcomes\n\n - Fluent with AI agents and tools to manage account load, automate status tracking, and focus time on judgment-intensive work\n\n\n\n\nNICE-TO-HAVES\n\n - Experience in voice AI, real-time audio/video, or telephony infrastructure\n\n - Background where technical account management was a revenue-driving function, not a support function\n\n - Infrastructure, developer tools, or API-first product experience\n\n - Experience scaling from Series A/B through growth stage and adapting the customer motion as the business evolves.\n\n\n\nNote: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.\n\n\n\n\nMORE DETAILS\n\n๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.\n\n๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.\n\n๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.\n\n๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.\n\n\n\n\nOUR BENEFITS (US EMPLOYEES ONLY) \n\n๐ฐ Compensation Competitive base salary alongside attractive equity package.\n\n๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.\n\n๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave \n\n๐ฆ 401(k)\n\n๐ Commuter Allowance A monthly stipend to help you get to and from the office.\n\n๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.\n\n๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.\n\n๐ฆ Your own personal Yoshi\n\n\n\n\nOUR COMMITMENT TO EQUAL OPPORTUNITY\n\nCartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.","compensation":{"compensationTierSummary":"$220K โ $280K","scrapeableCompensationSalarySummary":"$220K - $280K","compensationTiers":[{"id":"8b09f944-9081-4539-b5cf-a7b872491f1f","tierSummary":"OTE $220K โ $280K","title":null,"additionalInformation":null,"components":[{"id":"0fd5b90d-fa7b-46f2-88fa-a2a51bbc3bf4","summary":"OTE $220K โ $280K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":220000,"maxValue":280000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":220000,"maxValue":280000}]}},{"id":"c20f4644-c543-4ae2-9a0e-bc881a52b2f3","title":"GTM Strategist","department":"GTM","team":"Sales","employmentType":"FullTime","location":"*HQ - San Francisco, CA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-07-20T21:34:51.424+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/cartesia/c20f4644-c543-4ae2-9a0e-bc881a52b2f3","applyUrl":"https://jobs.ashbyhq.com/cartesia/c20f4644-c543-4ae2-9a0e-bc881a52b2f3/application","descriptionHtml":"Our mission is to architect AI that learns from and interacts with the world like humans do.
We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.
About the Role
Cartesia is building the future of real-time audio intelligence, and we're looking for a hungry, execution-oriented GTM Strategist to help us open doors at the most important companies in the world. You'll own strategic outbound into a curated list of high-value targets, building account plans, identifying the right entry points, and running multi-threaded outreach that reflects genuine understanding of a business.
If you want to get into the arena at one of the most exciting moments in AI, this is the seat.
Your Impact
Drive outbound into a named list of enterprise targets: researching organizations, mapping stakeholders, and running sequenced outreach that goes well beyond a cold email
Build account plans that reflect a genuine understanding of each target's business model, priorities, and where Cartesia fits
Identify and pursue multiple angles into each account, threading outreach across functions and seniority levels to create real traction
Get in front of decision-makers through creative, persistent, and highly personalized outreach
Hand off to Account Executives with full context, clearly articulated pain points, and next steps already in motion
Surface market intelligence back to GTM leadership: what you're hearing in the field, where interest is clustering, and where new opportunities are emerging
What You Bring
1โ2 years in a BDR or GTM role with a strong emphasis on outbound prospecting and pipeline generation, or equivalent experience in venture capital, investment banking, or a similar environment where you sourced deals and had direct exposure to executive-level conversations
A track record of exceeding outbound activity and pipeline targets
Demonstrated ability to research and build conviction on a company from the outside in
Relentless drive and a bias toward actionโ you find a way through, not around
Exceptional written and verbal communication; you craft outreach that earns a response and can move someone from cold to convinced
High personal accountability and the ability to manage a complex workload without losing attention to detail
Bachelor's degree from a top-tier university with strong academic performance in a rigorous field of study
Nice to Have
Experience building target lists, executing outreach campaigns, and tracking pipeline independently
Hands-on experience with outbound tooling such as Apollo, Clay, Outreach, or similar
Familiarity with enterprise software, developer tooling, or the AI landscape
Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.
๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.
๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.
๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.
๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.
๐ฐ Compensation Competitive base salary alongside attractive equity package.
๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.
๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave
๐ฆ 401(k)
๐ Commuter Allowance A monthly stipend to help you get to and from the office.
๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.
๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.
๐ฆ Your own personal Yoshi
Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.
","descriptionPlain":"ABOUT CARTESIA\n\nOur mission is to architect AI that learns from and interacts with the world like humans do.\n\nWe're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.\n\nWe're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.\n\n\n\nAbout the Role\n\nCartesia is building the future of real-time audio intelligence, and we're looking for a hungry, execution-oriented GTM Strategist to help us open doors at the most important companies in the world. You'll own strategic outbound into a curated list of high-value targets, building account plans, identifying the right entry points, and running multi-threaded outreach that reflects genuine understanding of a business.\n\nIf you want to get into the arena at one of the most exciting moments in AI, this is the seat.\n\n\n\nYour Impact\n\n - Drive outbound into a named list of enterprise targets: researching organizations, mapping stakeholders, and running sequenced outreach that goes well beyond a cold email\n\n - Build account plans that reflect a genuine understanding of each target's business model, priorities, and where Cartesia fits\n\n - Identify and pursue multiple angles into each account, threading outreach across functions and seniority levels to create real traction\n\n - Get in front of decision-makers through creative, persistent, and highly personalized outreach\n\n - Hand off to Account Executives with full context, clearly articulated pain points, and next steps already in motion\n\n - Surface market intelligence back to GTM leadership: what you're hearing in the field, where interest is clustering, and where new opportunities are emerging\n\n\n\nWhat You Bring\n\n - 1โ2 years in a BDR or GTM role with a strong emphasis on outbound prospecting and pipeline generation, or equivalent experience in venture capital, investment banking, or a similar environment where you sourced deals and had direct exposure to executive-level conversations\n\n - A track record of exceeding outbound activity and pipeline targets\n\n - Demonstrated ability to research and build conviction on a company from the outside in\n\n - Relentless drive and a bias toward actionโ you find a way through, not around\n\n - Exceptional written and verbal communication; you craft outreach that earns a response and can move someone from cold to convinced\n\n - High personal accountability and the ability to manage a complex workload without losing attention to detail\n\n - Bachelor's degree from a top-tier university with strong academic performance in a rigorous field of study\n \n \n\nNice to Have \n\n - Experience building target lists, executing outreach campaigns, and tracking pipeline independently\n\n - Hands-on experience with outbound tooling such as Apollo, Clay, Outreach, or similar\n\n - Familiarity with enterprise software, developer tooling, or the AI landscape\n\n\n\nNote: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.\n\n\n\n\nMORE DETAILS\n\n๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.\n\n๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.\n\n๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.\n\n๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.\n\n\n\n\nOUR BENEFITS (US EMPLOYEES ONLY) \n\n๐ฐ Compensation Competitive base salary alongside attractive equity package.\n\n๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.\n\n๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave \n\n๐ฆ 401(k)\n\n๐ Commuter Allowance A monthly stipend to help you get to and from the office.\n\n๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.\n\n๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.\n\n๐ฆ Your own personal Yoshi\n\n\n\n\nOUR COMMITMENT TO EQUAL OPPORTUNITY\n\nCartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.","compensation":{"compensationTierSummary":"$120K โ $140K โข Offers Equity","scrapeableCompensationSalarySummary":"$120K - $140K","compensationTiers":[{"id":"90286f66-07e0-4661-9668-113473ee792d","tierSummary":"OTE $120K โ $140K โข Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"ab14ba0d-3e16-4709-be62-3f58819d1e94","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"3f6888d0-9810-413d-b5fd-3c3dcfc00d73","summary":"OTE $120K โ $140K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":120000,"maxValue":140000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":120000,"maxValue":140000}]}},{"id":"87855ce7-539c-4064-b980-840d5e0e2a0b","title":"Strategic Partnerships Manager","department":"GTM","team":"GTM","employmentType":"FullTime","location":"*HQ - San Francisco, CA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-05-13T18:46:48.858+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/cartesia/87855ce7-539c-4064-b980-840d5e0e2a0b","applyUrl":"https://jobs.ashbyhq.com/cartesia/87855ce7-539c-4064-b980-840d5e0e2a0b/application","descriptionHtml":"Our mission is to architect AI that learns from and interacts with the world like humans do.
We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.
Cartesia is seeking a Strategic Partnerships Manager to drive transformational partnerships with enterprise technology companies that can unlock massive revenue growth for Cartesia. This role focuses on developing high impact relationships with priority technology partners including AI platforms and key SaaS companies. You will be responsible for enabling our commercial partners by leading enablement and adoption initiatives that maximize value across our solutions, driving long-term engagement and success.
Power enterprise technology distribution: operationalize partnerships with enterprise technology leaders to deeply embed Cartesia into sales motions and develop joint go-to-market strategies that amplify mutual success
Cultivate relationships: Cultivate and own relationships with business development leaders and individual sales teams within enterprise technology companies.
Create a roadmap for partnership initiatives, including timelines, strategic priorities, KPIs, and performance metrics (e.g. new user growth, revenue growth, product adoption).
Attend and organize events aligned to that partner including technical enablements, sales kickoffs, conferences, and more.
Design and deliver technical training programs for partner engineering teams
5โ8+ years of experience in Business Development, Partnerships, or Enterprise Account Management within a fast-paced SaaS or technology-driven environment.
Exceptional communication and relationship management skills, with the ability to influence internal and external stakeholders at all levels. Confident delivering technical enablement and training sessions.
Strong commercial acumen and experience driving adoption, retention, and revenue growth across complex or early-stage products.
Operational program design skills (e.g. onboarding journeys, certification design, QBRs, success plans, playbooks).
Experience maximizing enterprise partner programs such as marketplaces with co-marketing, and co-selling initiatives.
A builder mentalityโ you're comfortable operating in ambiguity, scaling processes, and shaping foundational systems for long-term success.
Technical degree (Computer Science, Engineering, Mathematics, etc.)
Understanding of foundational AI model capabilities and enterprise AI adoption patterns, with insight into how technical capabilities translate to business value
Proven track record of structuring and closing innovative deals involving joint go-to-market, product partnerships, revenue sharing, marketplace models, co-innovation, or other non-standard commercial structures
Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.
๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.
๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.
๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.
๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.
๐ฐ Compensation Competitive base salary alongside attractive equity package.
๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.
๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave
๐ฆ 401(k)
๐ Commuter Allowance A monthly stipend to help you get to and from the office.
๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.
๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.
๐ฆ Your own personal Yoshi
Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.
","descriptionPlain":"ABOUT CARTESIA\n\nOur mission is to architect AI that learns from and interacts with the world like humans do.\n\nWe're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.\n\nWe're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.\n\n\n\n\nABOUT THE ROLE\n\nCartesia is seeking a Strategic Partnerships Manager to drive transformational partnerships with enterprise technology companies that can unlock massive revenue growth for Cartesia. This role focuses on developing high impact relationships with priority technology partners including AI platforms and key SaaS companies. You will be responsible for enabling our commercial partners by leading enablement and adoption initiatives that maximize value across our solutions, driving long-term engagement and success.\n\nย \n\n\nYOUR IMPACT\n\n - Power enterprise technology distribution: operationalize partnerships with enterprise technology leaders to deeply embed Cartesia into sales motions and develop joint go-to-market strategies that amplify mutual success\n\n - Cultivate relationships: Cultivate and own relationships with business development leaders and individual sales teams within enterprise technology companies.\n\n - Create a roadmap for partnership initiatives, including timelines, strategic priorities, KPIs, and performance metrics (e.g. new user growth, revenue growth, product adoption).\n\n - Attend and organize events aligned to that partner including technical enablements, sales kickoffs, conferences, and more.\n\n - Design and deliver technical training programs for partner engineering teams\n\nย \n\n\nWHAT YOU BRING\n\n - 5โ8+ years of experience in Business Development, Partnerships, or Enterprise Account Management within a fast-paced SaaS or technology-driven environment.\n\n - Exceptional communication and relationship management skills, with the ability to influence internal and external stakeholders at all levels. Confident delivering technical enablement and training sessions.\n\n - Strong commercial acumen and experience driving adoption, retention, and revenue growth across complex or early-stage products.\n\n - Operational program design skills (e.g. onboarding journeys, certification design, QBRs, success plans, playbooks).\n\n - Experience maximizing enterprise partner programs such as marketplaces with co-marketing, and co-selling initiatives.\n\n - A builder mentalityโ you're comfortable operating in ambiguity, scaling processes, and shaping foundational systems for long-term success.\n\nย \n\n\nNICE TO HAVE \n\n - Technical degree (Computer Science, Engineering, Mathematics, etc.)\n\n - Understanding of foundational AI model capabilities and enterprise AI adoption patterns, with insight into how technical capabilities translate to business value\n\n - Proven track record of structuring and closing innovative deals involving joint go-to-market, product partnerships, revenue sharing, marketplace models, co-innovation, or other non-standard commercial structures\n\n\n\nNote: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.\n\n\n\n\nMORE DETAILS\n\n๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.\n\n๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.\n\n๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.\n\n๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.\n\n\n\n\nOUR BENEFITS (US EMPLOYEES ONLY) \n\n๐ฐ Compensation Competitive base salary alongside attractive equity package.\n\n๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.\n\n๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave \n\n๐ฆ 401(k)\n\n๐ Commuter Allowance A monthly stipend to help you get to and from the office.\n\n๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.\n\n๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.\n\n๐ฆ Your own personal Yoshi\n\n\n\n\nOUR COMMITMENT TO EQUAL OPPORTUNITY\n\nCartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.","compensation":{"compensationTierSummary":"$220K โ $270K โข Offers Equity","scrapeableCompensationSalarySummary":"$220K - $270K","compensationTiers":[{"id":"397e4d7f-5340-44dd-a560-20641bbf692c","tierSummary":"OTE $220K โ $270K โข Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"2f6bdbdf-40f2-4725-a4d8-ff929de9cd94","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"c89a630e-88eb-4920-85d1-397c097f6f60","summary":"OTE $220K โ $270K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":220000,"maxValue":270000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":220000,"maxValue":270000}]}},{"id":"4400b6ac-f132-4551-8acc-cd1682a1e364","title":"Business Recruiter","department":"People","team":"Talent","employmentType":"FullTime","location":"*HQ - San Francisco, CA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-05-14T22:49:26.548+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/cartesia/4400b6ac-f132-4551-8acc-cd1682a1e364","applyUrl":"https://jobs.ashbyhq.com/cartesia/4400b6ac-f132-4551-8acc-cd1682a1e364/application","descriptionHtml":"Our mission is to architect AI that learns from and interacts with the world like humans do.
We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.
About the Role
As a Business Recruiter, you will join a growing Recruiting team in San Francisco and take ownership of full-cycle hiring across various GTM, G&A, and Operations rolesโ from sourcing and outreach to offer. Recruiting is one of the primary drivers of our growth, and maintaining a high hiring bar is central to how we operate. You will partner directly with hiring managers and founders to shape hiring strategy, build pipeline, and close top talent in a competitive market. This is a high-impact role where you will help shape the team and culture at one of the most exciting startups in AI.
Your Impact
Own full-cycle recruiting across GTM, G&A, and Operations functions, from intake and sourcing through offer and close
Act as a strategic partner to hiring managers to define role requirements, interview plans, and sourcing strategies
Build and maintain pipelines through proactive outbound outreach, competitive research, and community-based sourcing
Craft personalized, high-conversion outreach that reflects the company's voice and mission
Manage offers end-to-end, understanding what motivates each candidate and maintaining strong acceptance rates in competitive markets
Coordinate closely with Sourcers and RCs to keep handoffs clean and candidates moving
Track pipeline health, hiring metrics, and process improvements; build lightweight infrastructure like scorecards and debrief guides as you go
Contribute to recruiting operations, tooling, and best practices as the team scales
What You Bring
4+ years of full-cycle recruiting experience at a startup or high-growth tech company, preferably in AI, dev tools, or B2B SaaS environments
Hands-on experience owning recruiting for GTM or G&A functions across multiple verticals; you understand how these teams operate and what good looks like in each, but can also quickly ramp on new roles you've never recruited for
Strong sourcing and candidate engagement skills, with a creative approach to finding talent outside of the usual channels
A track record of closing top talent in competitive markets; you understand what motivates candidates beyond comp and manage objections before they become drop-offs
Experience as a genuine strategic partner to hiring managers: advising on scope, leveling, interview design, and offer strategy
Clear, confident communication with candidates and hiring managers, with the ability to grasp technical concepts, and pitch the company in a compelling way
Comfortable working in a fast-paced environment with high and evolving hiring standards
Experience with ATS tools such as Ashby, and sourcing platforms like Juicebox
A collaborative mindset and genuine interest in AI and building great teams
Nice to Have
Agency recruiting experience or a blended background (agency + in-house) strongly preferred
Experience recruiting for additional functions such as Product or other technical roles
Experience at an early-stage startup where you contributed to building recruiting process alongside hiring
Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.
๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.
๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.
๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.
๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.
๐ฐ Compensation Competitive base salary alongside attractive equity package.
๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.
๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave
๐ฆ 401(k)
๐ Commuter Allowance A monthly stipend to help you get to and from the office.
๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.
๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.
๐ฆ Your own personal Yoshi
Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.
","descriptionPlain":"ABOUT CARTESIA\n\nOur mission is to architect AI that learns from and interacts with the world like humans do.\n\nWe're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.\n\nWe're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.\n\n\n\nAbout the Role\n\nAs a Business Recruiter, you will join a growing Recruiting team in San Francisco and take ownership of full-cycle hiring across various GTM, G&A, and Operations rolesโ from sourcing and outreach to offer. Recruiting is one of the primary drivers of our growth, and maintaining a high hiring bar is central to how we operate. You will partner directly with hiring managers and founders to shape hiring strategy, build pipeline, and close top talent in a competitive market. This is a high-impact role where you will help shape the team and culture at one of the most exciting startups in AI.\n\n\n\nYour Impact\n\n - Own full-cycle recruiting across GTM, G&A, and Operations functions, from intake and sourcing through offer and close\n\n - Act as a strategic partner to hiring managers to define role requirements, interview plans, and sourcing strategies\n\n - Build and maintain pipelines through proactive outbound outreach, competitive research, and community-based sourcing\n\n - Craft personalized, high-conversion outreach that reflects the company's voice and mission\n\n - Manage offers end-to-end, understanding what motivates each candidate and maintaining strong acceptance rates in competitive markets\n\n - Coordinate closely with Sourcers and RCs to keep handoffs clean and candidates moving\n\n - Track pipeline health, hiring metrics, and process improvements; build lightweight infrastructure like scorecards and debrief guides as you go\n\n - Contribute to recruiting operations, tooling, and best practices as the team scales\n \n \n\nWhat You Bring\n\n - 4+ years of full-cycle recruiting experience at a startup or high-growth tech company, preferably in AI, dev tools, or B2B SaaS environments\n\n - Hands-on experience owning recruiting for GTM or G&A functions across multiple verticals; you understand how these teams operate and what good looks like in each, but can also quickly ramp on new roles you've never recruited for\n\n - Strong sourcing and candidate engagement skills, with a creative approach to finding talent outside of the usual channels\n\n - A track record of closing top talent in competitive markets; you understand what motivates candidates beyond comp and manage objections before they become drop-offs\n\n - Experience as a genuine strategic partner to hiring managers: advising on scope, leveling, interview design, and offer strategy\n\n - Clear, confident communication with candidates and hiring managers, with the ability to grasp technical concepts, and pitch the company in a compelling way\n\n - Comfortable working in a fast-paced environment with high and evolving hiring standards\n\n - Experience with ATS tools such as Ashby, and sourcing platforms like Juicebox\n\n - A collaborative mindset and genuine interest in AI and building great teams\n\n\n\nNice to Have\n\n - Agency recruiting experience or a blended background (agency + in-house) strongly preferred\n\n - Experience recruiting for additional functions such as Product or other technical roles\n\n - Experience at an early-stage startup where you contributed to building recruiting process alongside hiring\n\n\n\nNote: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.\n\n\n\n\nMORE DETAILS\n\n๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.\n\n๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.\n\n๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.\n\n๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.\n\n\n\n\nOUR BENEFITS (US EMPLOYEES ONLY) \n\n๐ฐ Compensation Competitive base salary alongside attractive equity package.\n\n๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.\n\n๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave \n\n๐ฆ 401(k)\n\n๐ Commuter Allowance A monthly stipend to help you get to and from the office.\n\n๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.\n\n๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.\n\n๐ฆ Your own personal Yoshi\n\n\n\n\nOUR COMMITMENT TO EQUAL OPPORTUNITY\n\nCartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.","compensation":{"compensationTierSummary":"$140K โ $200K โข Offers Equity","scrapeableCompensationSalarySummary":"$140K - $200K","compensationTiers":[{"id":"ba856be8-b023-47e2-8f49-7f1bcd73d8a7","tierSummary":"$140K โ $200K โข Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"66fe13f0-ab58-4863-b622-b0970e1ce791","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"af811900-f806-4a80-ae9b-a64525b14201","summary":"$140K โ $200K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":140000,"maxValue":200000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":140000,"maxValue":200000}]}},{"id":"b98789dc-9bed-4386-bfa2-22889699b773","title":"Product Manager, Infrastructure","department":"Product","team":"Design","employmentType":"FullTime","location":"*HQ - San Francisco, CA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-05-22T04:59:48.085+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/cartesia/b98789dc-9bed-4386-bfa2-22889699b773","applyUrl":"https://jobs.ashbyhq.com/cartesia/b98789dc-9bed-4386-bfa2-22889699b773/application","descriptionHtml":"Our mission is to architect AI that learns from and interacts with the world like humans do.
We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.
About the Role
Cartesia is hiring a Product Manager, Infrastructure to own the platform our customers and internal teams depend on โ the APIs, SDKs, deployment surfaces, and infrastructure primitives that make Cartesia's foundation models usable in production. Your customers are engineers, and your work shows up in design docs, deal cycles, and CTO conversations as much as it does in product specs. You'll partner with engineering, research, and GTM to ship a platform that earns enterprise trust, and to run the enterprise motions that come with it.
Your Impact
Own the roadmap for Cartesia's infrastructure platform โ APIs, SDKs, deployment models, and the developer experience layered on top
Translate enterprise deal signals into a coherent product direction; separate one-off asks from real platform investments
Run customer technical reviews, partner with FDE/ SE/ olutions teams inside live deals, and debrief with CTOs to convert technical wins into closed business
Make and defend architectural tradeoffs (latency vs. throughput, abstraction level, deployment model) in design reviews and PRDs
Write the PRDs, GTM primers, deprecation comms, and competitive teardowns that the company runs on
What You Bring
5โ8 years in product, including 3+ years in infrastructure, developer tools, or AI/ML platform PM โ shipping against a real engineering roadmap
Strong technical fluency: you can read a design doc, run an architecture review, and hold opinions on tradeoffs from first principles. You don't ship code, but you debug in conversation
Has owned a multi-tenant platform, dev tools product, or B2B infra product where the customer is also an engineer
Enterprise fluency: comfortable in a technical review, a sales pitch, and a CTO debrief โ and able to translate between all three. Has worked alongside FDE/SE /Solutions teams in active deal cycles
Track record of saying no with clarity, not just yes โ and shipping iteratively rather than waiting on a perfect spec
Clear, structured writer: your PRDs, GTM primers, and deprecation comms all land. Fluent with modern AI tools (Claude, Cursor, etc.) as a force multiplier
Nice to Have
Voice/real-time /streaming systems experience (LiveKit, Twilio, Daily, Pipecat, telephony / SIP)
On-prem, VPC, or air-gapped deployment experience; familiarity with customer compliance reviews
GPU/inference-stack literacy (vLLM, TensorRT-LLM, SGLang, KV cache, GPU SKUs)
Prior experience as a founding/early platform PM at a Series A/B AI infra company
Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.
๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.
๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.
๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.
๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.
๐ฐ Compensation Competitive base salary alongside attractive equity package.
๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.
๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave
๐ฆ 401(k)
๐ Commuter Allowance A monthly stipend to help you get to and from the office.
๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.
๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.
๐ฆ Your own personal Yoshi
Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.
","descriptionPlain":"ABOUT CARTESIA\n\nOur mission is to architect AI that learns from and interacts with the world like humans do.\n\nWe're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.\n\nWe're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.\n\n\n\nAbout the Role\n\nCartesia is hiring a Product Manager, Infrastructure to own the platform our customers and internal teams depend on โ the APIs, SDKs, deployment surfaces, and infrastructure primitives that make Cartesia's foundation models usable in production. Your customers are engineers, and your work shows up in design docs, deal cycles, and CTO conversations as much as it does in product specs. You'll partner with engineering, research, and GTM to ship a platform that earns enterprise trust, and to run the enterprise motions that come with it.\n\n\n\nYour Impact\n\n - Own the roadmap for Cartesia's infrastructure platform โ APIs, SDKs, deployment models, and the developer experience layered on top\n\n - Translate enterprise deal signals into a coherent product direction; separate one-off asks from real platform investments\n\n - Run customer technical reviews, partner with FDE/ SE/ olutions teams inside live deals, and debrief with CTOs to convert technical wins into closed business\n\n - Make and defend architectural tradeoffs (latency vs. throughput, abstraction level, deployment model) in design reviews and PRDs\n\n - Write the PRDs, GTM primers, deprecation comms, and competitive teardowns that the company runs on\n\n\n\nWhat You Bring\n\n - 5โ8 years in product, including 3+ years in infrastructure, developer tools, or AI/ML platform PM โ shipping against a real engineering roadmap\n\n - Strong technical fluency: you can read a design doc, run an architecture review, and hold opinions on tradeoffs from first principles. You don't ship code, but you debug in conversation\n\n - Has owned a multi-tenant platform, dev tools product, or B2B infra product where the customer is also an engineer\n\n - Enterprise fluency: comfortable in a technical review, a sales pitch, and a CTO debrief โ and able to translate between all three. Has worked alongside FDE/SE /Solutions teams in active deal cycles\n\n - Track record of saying no with clarity, not just yes โ and shipping iteratively rather than waiting on a perfect spec\n\n - Clear, structured writer: your PRDs, GTM primers, and deprecation comms all land. Fluent with modern AI tools (Claude, Cursor, etc.) as a force multiplier\n\nNice to Have\n\n - Voice/real-time /streaming systems experience (LiveKit, Twilio, Daily, Pipecat, telephony / SIP)\n\n - On-prem, VPC, or air-gapped deployment experience; familiarity with customer compliance reviews\n\n - GPU/inference-stack literacy (vLLM, TensorRT-LLM, SGLang, KV cache, GPU SKUs)\n\n - Prior experience as a founding/early platform PM at a Series A/B AI infra company\n\n\n\nNote: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.\n\n\n\n\nMORE DETAILS\n\n๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.\n\n๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.\n\n๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.\n\n๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.\n\n\n\n\nOUR BENEFITS (US EMPLOYEES ONLY) \n\n๐ฐ Compensation Competitive base salary alongside attractive equity package.\n\n๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.\n\n๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave \n\n๐ฆ 401(k)\n\n๐ Commuter Allowance A monthly stipend to help you get to and from the office.\n\n๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.\n\n๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.\n\n๐ฆ Your own personal Yoshi\n\n\n\n\nOUR COMMITMENT TO EQUAL OPPORTUNITY\n\nCartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.","compensation":{"compensationTierSummary":"$180K โ $250K โข Offers Equity","scrapeableCompensationSalarySummary":"$180K - $250K","compensationTiers":[{"id":"39960d63-e998-447e-b50a-6d5b46e5d751","tierSummary":"$180K โ $250K โข Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"b6b85ce1-af27-47df-8c5f-3b6dff985550","summary":"$180K โ $250K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":180000,"maxValue":250000},{"id":"a57eac9d-3b3c-4e17-92a6-a52b33b2b93d","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":180000,"maxValue":250000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"177c2be2-8610-48af-b129-308bac955112","title":"Product & Research Operations Manager, Human Data","department":"Product","team":"Product Operations","employmentType":"FullTime","location":"*HQ - San Francisco, CA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-07-02T01:36:52.025+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/cartesia/177c2be2-8610-48af-b129-308bac955112","applyUrl":"https://jobs.ashbyhq.com/cartesia/177c2be2-8610-48af-b129-308bac955112/application","descriptionHtml":"Our mission is to architect AI that learns from and interacts with the world like humans do.
We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.
The Role
We are looking for a Product and Research Operations Manager to design, scale, and operate Cartesia's global scaled evaluation workforce. This role sits at the intersection of product operations, data operations, and vendor management, and directly impacts model quality and customer outcomes. You will own the end-to-end workforce system: hiring pipelines, vendor strategy, workforce planning, quality control, and operational performance.
You are building a production system of humans-in-the-loop for AI, translating ambiguous product needs into operational workflows and partnering across product, engineering, data, and customer-facing teams to support real-world evaluation at scale.
Your Impact
Design and implement workforce structure across languages, skill tiers, and use cases, including evaluators, auditors, and leads for TTS products
Build capacity models to support continuous eval pipelines and data production workflows
Own relationships with vendors such as data annotation firms and contractor platforms, negotiating rate cards, SLAs, and throughput guarantees
Decide on build, buy, or hybrid workforce models and continuously benchmark cost and performance across regions
Design multi-layer QA systems spanning self-checks, peer review, audits, and gold tasks
Define and track inter-rater reliability, error rates by category, and annotator-level performance distributions
Build escalation and retraining workflows to maintain quality at scale
Run day-to-day operations including task allocation, throughput tracking, and SLA adherence
Build systems to reduce evaluator fatigue, rotate task types, and maintain consistency across large-scale evaluations
Partner with tooling teams to improve evaluator UX and with data teams to ensure clean, structured outputs for model training
What You Bring
6+ years in operations, workforce management, or data annotation systems
Experience managing large contractor or vendor-based workforces
Proven ability to scale operations from zero to production
Systems thinking with the ability to design scalable operational frameworks
Strong analytical skills with comfort around metrics like inter-rater reliability, precision, and throughput
Ability to execute quickly under ambiguity with close attention to quality and edge cases
Nice to Have
Experience in AI/ML data operations or evaluation pipelines
Background in audio, speech, or language-related workflows
Familiarity with QA systems and annotation tooling
Experience with marketplace platforms such as Upwork or Mercor
Exposure to multilingual operations
Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.
๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.
๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.
๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.
๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.
๐ฐ Compensation Competitive base salary alongside attractive equity package.
๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.
๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave
๐ฆ 401(k)
๐ Commuter Allowance A monthly stipend to help you get to and from the office.
๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.
๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.
๐ฆ Your own personal Yoshi
Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.
","descriptionPlain":"ABOUT CARTESIA\n\nOur mission is to architect AI that learns from and interacts with the world like humans do.\n\nWe're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.\n\nWe're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.\n\n\n\nThe Role\n\nWe are looking for a Product and Research Operations Manager to design, scale, and operate Cartesia's global scaled evaluation workforce. This role sits at the intersection of product operations, data operations, and vendor management, and directly impacts model quality and customer outcomes. You will own the end-to-end workforce system: hiring pipelines, vendor strategy, workforce planning, quality control, and operational performance.\n\nYou are building a production system of humans-in-the-loop for AI, translating ambiguous product needs into operational workflows and partnering across product, engineering, data, and customer-facing teams to support real-world evaluation at scale.\n\n\n\nYour Impact\n\n - Design and implement workforce structure across languages, skill tiers, and use cases, including evaluators, auditors, and leads for TTS products\n\n - Build capacity models to support continuous eval pipelines and data production workflows\n\n - Own relationships with vendors such as data annotation firms and contractor platforms, negotiating rate cards, SLAs, and throughput guarantees\n\n - Decide on build, buy, or hybrid workforce models and continuously benchmark cost and performance across regions\n\n - Design multi-layer QA systems spanning self-checks, peer review, audits, and gold tasks\n\n - Define and track inter-rater reliability, error rates by category, and annotator-level performance distributions\n\n - Build escalation and retraining workflows to maintain quality at scale\n\n - Run day-to-day operations including task allocation, throughput tracking, and SLA adherence\n\n - Build systems to reduce evaluator fatigue, rotate task types, and maintain consistency across large-scale evaluations\n\n - Partner with tooling teams to improve evaluator UX and with data teams to ensure clean, structured outputs for model training\n\n\n\nWhat You Bring\n\n - 6+ years in operations, workforce management, or data annotation systems\n\n - Experience managing large contractor or vendor-based workforces\n\n - Proven ability to scale operations from zero to production\n\n - Systems thinking with the ability to design scalable operational frameworks\n\n - Strong analytical skills with comfort around metrics like inter-rater reliability, precision, and throughput\n\n - Ability to execute quickly under ambiguity with close attention to quality and edge cases\n\n\n\nNice to Have\n\n - Experience in AI/ML data operations or evaluation pipelines\n\n - Background in audio, speech, or language-related workflows\n\n - Familiarity with QA systems and annotation tooling\n\n - Experience with marketplace platforms such as Upwork or Mercor\n\n - Exposure to multilingual operations\n\n\n\nNote: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.\n\n\n\n\nMORE DETAILS\n\n๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.\n\n๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.\n\n๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.\n\n๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.\n\n\n\n\nOUR BENEFITS (US EMPLOYEES ONLY) \n\n๐ฐ Compensation Competitive base salary alongside attractive equity package.\n\n๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.\n\n๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave \n\n๐ฆ 401(k)\n\n๐ Commuter Allowance A monthly stipend to help you get to and from the office.\n\n๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.\n\n๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.\n\n๐ฆ Your own personal Yoshi\n\n\n\n\nOUR COMMITMENT TO EQUAL OPPORTUNITY\n\nCartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.","compensation":{"compensationTierSummary":"$160K โ $210K โข Offers Equity","scrapeableCompensationSalarySummary":"$160K - $210K","compensationTiers":[{"id":"3644a5c5-fea7-447e-a6ad-a29fdc2bc18b","tierSummary":"$160K โ $210K โข Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"710a4bc8-9efd-4ef2-84d7-562c2762b1b3","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"9af42823-1d95-4103-9cb8-21eee2e000a2","summary":"$160K โ $210K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":160000,"maxValue":210000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":160000,"maxValue":210000}]}},{"id":"ed9f2176-a2a6-4ebe-9154-b7dff0f9c415","title":"Product Support Engineer","department":"Product","team":"Product Operations","employmentType":"FullTime","location":"*HQ - San Francisco, CA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-07-21T18:44:41.259+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/cartesia/ed9f2176-a2a6-4ebe-9154-b7dff0f9c415","applyUrl":"https://jobs.ashbyhq.com/cartesia/ed9f2176-a2a6-4ebe-9154-b7dff0f9c415/application","descriptionHtml":"Our mission is to architect AI that learns from and interacts with the world like humans do.
We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.
Weโre looking for a Product Support Engineer to help our customers succeed with our platform by solving complex, technical issues and providing world-class support. Youโll work directly with customers, partner closely with engineering and product teams at a cutting-edge AI company, and help shape the processes and tools that define our post-sales support. This is a hands-on role where your feedback will influence the roadmap, improve product reliability, and set the standard for how our customers experience Cartesia.
Serve as the primary point of contact for support inbound from numerous sources like Slack, Pylon, WhatsApp, and other messaging platforms.
Deliver white-glove support for our customers, diagnosing and resolving complex issues quickly and efficiently.
Collaborate cross-functionally with product, engineering, and customer teams to become a trusted technical partner.
Reproduce customer issues, perform first-pass triage, write clear bug reports, and help prioritize fixes to unblock users quickly.
Troubleshoot across the stack: API errors, model behavior, latency/reliability issues, and partner integrations.
Be a customer champion: give feedback on features, spot edge cases, and influence roadmap and quality standards.
Document solutions and patterns in runbooks and contribute to customer-facing documentation and best practices.
Build tooling and automations to resolve gaps and ease operations to efficiently resolve issues quickly.
2โ8 years in a technical support, product support, technical account management, or forward-deployed engineering role.
Strong technical troubleshooting skills with APIs, SDKs, logs, and integrations.
Familiarity with AI tooling, APIs, or agentic systems.
Comfortable reproducing issues, debugging errors, and collaborating with engineers to identify solutions.
A builder mentality: can identify chokepoints in process and tooling and build to close gaps.
Excellent written and verbal communication, able to distill complex technical problems for both internal teams and customers.
Calm under pressure and able to prioritize effectively when multiple customer issues arise simultaneously.
High ownership and collaborative mindset, excited to contribute to a small, fast-moving team.
Scripting experience in Python, JavaScript/TypeScript, or similar to reproduce, mock, or validate issues.
Experience in fast-moving startup environments where the product ships frequently and customers are often in early/beta.
Interest in tinkering with new features, debugging edge cases, and exploring workflows hands-on.
Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.
๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.
๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.
๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.
๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.
๐ฐ Compensation Competitive base salary alongside attractive equity package.
๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.
๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave
๐ฆ 401(k)
๐ Commuter Allowance A monthly stipend to help you get to and from the office.
๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.
๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.
๐ฆ Your own personal Yoshi
Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.
","descriptionPlain":"ABOUT CARTESIA\n\nOur mission is to architect AI that learns from and interacts with the world like humans do.\n\nWe're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.\n\nWe're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.\n\n\n\n\nABOUT THE ROLE\n\nWeโre looking for a Product Support Engineer to help our customers succeed with our platform by solving complex, technical issues and providing world-class support. Youโll work directly with customers, partner closely with engineering and product teams at a cutting-edge AI company, and help shape the processes and tools that define our post-sales support. This is a hands-on role where your feedback will influence the roadmap, improve product reliability, and set the standard for how our customers experience Cartesia.\n\n\n\n\nYOUR IMPACT\n\n - Serve as the primary point of contact for support inbound from numerous sources like Slack, Pylon, WhatsApp, and other messaging platforms.\n\n - Deliver white-glove support for our customers, diagnosing and resolving complex issues quickly and efficiently.\n\n - Collaborate cross-functionally with product, engineering, and customer teams to become a trusted technical partner.\n\n - Reproduce customer issues, perform first-pass triage, write clear bug reports, and help prioritize fixes to unblock users quickly.\n\n - Troubleshoot across the stack: API errors, model behavior, latency/reliability issues, and partner integrations.\n\n - Be a customer champion: give feedback on features, spot edge cases, and influence roadmap and quality standards.\n\n - Document solutions and patterns in runbooks and contribute to customer-facing documentation and best practices.\n\n - Build tooling and automations to resolve gaps and ease operations to efficiently resolve issues quickly.\n\n\n\n\nWHAT YOU BRING\n\n - 2โ8 years in a technical support, product support, technical account management, or forward-deployed engineering role.\n\n - Strong technical troubleshooting skills with APIs, SDKs, logs, and integrations.\n\n - Familiarity with AI tooling, APIs, or agentic systems.\n\n - Comfortable reproducing issues, debugging errors, and collaborating with engineers to identify solutions.\n\n - A builder mentality: can identify chokepoints in process and tooling and build to close gaps.\n\n - Excellent written and verbal communication, able to distill complex technical problems for both internal teams and customers.\n\n - Calm under pressure and able to prioritize effectively when multiple customer issues arise simultaneously.\n\n - High ownership and collaborative mindset, excited to contribute to a small, fast-moving team.\n\n\n\n\nNICE TO HAVE \n\n - Scripting experience in Python, JavaScript/TypeScript, or similar to reproduce, mock, or validate issues.\n\n - Experience in fast-moving startup environments where the product ships frequently and customers are often in early/beta.\n\n - Interest in tinkering with new features, debugging edge cases, and exploring workflows hands-on.\n \n Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.\n\n\n\n\nMORE DETAILS\n\n๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.\n\n๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.\n\n๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.\n\n๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.\n\n\n\n\nOUR BENEFITS (US EMPLOYEES ONLY) \n\n๐ฐ Compensation Competitive base salary alongside attractive equity package.\n\n๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.\n\n๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave \n\n๐ฆ 401(k)\n\n๐ Commuter Allowance A monthly stipend to help you get to and from the office.\n\n๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.\n\n๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.\n\n๐ฆ Your own personal Yoshi\n\n\n\n\nOUR COMMITMENT TO EQUAL OPPORTUNITY\n\nCartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.","compensation":{"compensationTierSummary":"$100K โ $150K โข Offers Equity","scrapeableCompensationSalarySummary":"$100K - $150K","compensationTiers":[{"id":"7fe2e87c-ab61-4bc8-aee9-9443b33573c6","tierSummary":"Base Salary $100K โ $150K โข Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"406fd2ea-babc-42ca-9d00-4e771be2b433","summary":"Base Salary $100K โ $150K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":100000,"maxValue":150000},{"id":"8b85fca2-ca7a-402a-8a4d-c7349dd4cd2a","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":100000,"maxValue":150000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"d28d806f-2e65-411d-bce6-24ac7088cbb9","title":"Data & Strategy Lead","department":"Product","team":"Product Operations","employmentType":"FullTime","location":"*HQ - San Francisco, CA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-07-31T01:13:37.998+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/cartesia/d28d806f-2e65-411d-bce6-24ac7088cbb9","applyUrl":"https://jobs.ashbyhq.com/cartesia/d28d806f-2e65-411d-bce6-24ac7088cbb9/application","descriptionHtml":"Our mission is to architect AI that learns from and interacts with the world like humans do.
We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.
About the Role
The Data & Strategy Team reports directly to Cartesia's founders and shapes our models capabilities. We work alongside researchers to find where models break, through evals and direct customer conversations, and then fix them by sourcing high quality data. We're looking for people who bring technical depth, operational rigor, and high agency, who want to have a lot of impact.
As a Data & Strategy Lead, you'll have broad ownership and autonomy to shape one of the most important inputs to frontier AI models. You'll work across research, product, and go-to-market teams, make decisions with incomplete information, and build new processes from the ground up. If you enjoy solving ambiguous problems, learning quickly, and creating leverage through systems, you'll thrive in this role.
Your Impact
Partner tightly with research and modeling teams to find where models fail, through evals and direct customer conversations.
Design, source, and maintain the evals that define quality for our models. Ground them in observed customer failures, benchmark continuously against other systems, and turn the results into concrete data requirements.
Establish new sources of human data to advance model performance, building collection pipelines from scratch, and own data quality from acquisition through delivery.
Stay close to the research. Read papers, understand what datasets move which capabilities, and collaborate with the team on what data to collect next.
Be commercially minded. Engage with customers, enable the GTM team, and drive revenue growth.
Principles for the role
Bias for action
Extreme ownership, low ego
Ability to operate in ambiguous environments
High standards and accountability
Bar raiser
Outcomes oriented
Winning mentality
What You Bring
3โ10 years of experience in high-ownership roles (e.g., founder, GM, or strategy/ops at a startup).
Technical fluency with data and operations; SQL proficiency required.
Holds themselves and other to a high bar, bias to action, and strong attention to detail.
Comfortable with ambiguity and rapid pace.
Low-ego, collaborative, and mission-driven, focused on team and company success.
Nice to Have
Experience in AI/ML data operations or large-scale operations
Background in audio, speech, or language-related workflows
Background in CS, industrial engineering, or similar.
Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.
๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.
๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.
๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.
๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.
๐ฐ Compensation Competitive base salary alongside attractive equity package.
๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.
๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave
๐ฆ 401(k)
๐ Commuter Allowance A monthly stipend to help you get to and from the office.
๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.
๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.
๐ฆ Your own personal Yoshi
Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.
","descriptionPlain":"ABOUT CARTESIA\n\nOur mission is to architect AI that learns from and interacts with the world like humans do.\n\nWe're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.\n\nWe're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.\n\n\n\nAbout the Role\n\nThe Data & Strategy Team reports directly to Cartesia's founders and shapes our models capabilities. We work alongside researchers to find where models break, through evals and direct customer conversations, and then fix them by sourcing high quality data. We're looking for people who bring technical depth, operational rigor, and high agency, who want to have a lot of impact.\n\nAs a Data & Strategy Lead, you'll have broad ownership and autonomy to shape one of the most important inputs to frontier AI models. You'll work across research, product, and go-to-market teams, make decisions with incomplete information, and build new processes from the ground up. If you enjoy solving ambiguous problems, learning quickly, and creating leverage through systems, you'll thrive in this role.\n\n\n\nYour Impact\n\n - Partner tightly with research and modeling teams to find where models fail, through evals and direct customer conversations.\n\n - Design, source, and maintain the evals that define quality for our models. Ground them in observed customer failures, benchmark continuously against other systems, and turn the results into concrete data requirements.\n\n - Establish new sources of human data to advance model performance, building collection pipelines from scratch, and own data quality from acquisition through delivery.\n\n - Stay close to the research. Read papers, understand what datasets move which capabilities, and collaborate with the team on what data to collect next.\n\n - Be commercially minded. Engage with customers, enable the GTM team, and drive revenue growth.\n\n\n\nPrinciples for the role\n\n - Bias for action\n\n - Extreme ownership, low ego\n\n - Ability to operate in ambiguous environments\n\n - High standards and accountability\n\n - Bar raiser\n\n - Outcomes oriented\n\n - Winning mentality\n\n\n\nWhat You Bring\n\n - 3โ10 years of experience in high-ownership roles (e.g., founder, GM, or strategy/ops at a startup).\n\n - Technical fluency with data and operations; SQL proficiency required.\n\n - Holds themselves and other to a high bar, bias to action, and strong attention to detail.\n\n - Comfortable with ambiguity and rapid pace.\n\n - Low-ego, collaborative, and mission-driven, focused on team and company success.\n\n\n\nNice to Have\n\nExperience in AI/ML data operations or large-scale operations\n\nBackground in audio, speech, or language-related workflows\n\nBackground in CS, industrial engineering, or similar.\n\n\n\nNote: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.\n\n\n\n\nMORE DETAILS\n\n๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.\n\n๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.\n\n๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.\n\n๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.\n\n\n\n\nOUR BENEFITS (US EMPLOYEES ONLY) \n\n๐ฐ Compensation Competitive base salary alongside attractive equity package.\n\n๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.\n\n๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave \n\n๐ฆ 401(k)\n\n๐ Commuter Allowance A monthly stipend to help you get to and from the office.\n\n๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.\n\n๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.\n\n๐ฆ Your own personal Yoshi\n\n\n\n\nOUR COMMITMENT TO EQUAL OPPORTUNITY\n\nCartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.","compensation":{"compensationTierSummary":"$150K โ $250K โข Offers Equity","scrapeableCompensationSalarySummary":"$150K - $250K","compensationTiers":[{"id":"64a8aacc-f03a-4ae6-a252-785e8f6c73f6","tierSummary":"Base Salary $150K โ $250K โข Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"b69762e9-2bb2-4b2b-a6f8-43c86195f605","summary":"Base Salary $150K โ $250K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":150000,"maxValue":250000},{"id":"8ad8c68d-919c-4fd1-bd8c-6cabc71aaab1","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":150000,"maxValue":250000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"04992c43-f82b-4282-af68-e4428ce2daf3","title":"Technical Sourcer","department":"People","team":"Talent","employmentType":"FullTime","location":"*HQ - San Francisco, CA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-07-16T23:02:23.172+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/cartesia/04992c43-f82b-4282-af68-e4428ce2daf3","applyUrl":"https://jobs.ashbyhq.com/cartesia/04992c43-f82b-4282-af68-e4428ce2daf3/application","descriptionHtml":"Our mission is to architect AI that learns from and interacts with the world like humans do.
We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.
As a Technical Sourcer, you will be the engine for our growth as a leading foundation model company, responsible for identifying and engaging world-class technical talent. This is an incredibly hands-on role, where youโll be expected to not only source, but to screen and manage candidates through the process, as well as lead on strategic hiring initiatives alongside Recruiting.
Strategic Talent Mapping: Develop and execute innovative sourcing strategies to identify and attract top-tier talent for roles in Research/ML Engineering, Platform & Software Engineering and Product Engineering
Creative Sourcing: Go beyond LinkedIn. Utilize a variety of channels including academic conferences (NeurIPS, ICML, ICLR), research publications (arXiv, Google Scholar), open-source communities (GitHub, Hugging Face), and professional networks to find exceptional candidates.
Pipeline Generation: Build and maintain a robust pipeline of qualified, passive candidates for current and future hiring needs, ensuring a healthy influx of talent for our most critical roles.
Personalized Outreach: Craft compelling, personalized, and authentic outreach messages that resonate with a highly technical and sought-after audience. You understand that a generic message won't work.
Candidate Engagement: Act as the first point of contact for candidates entering the process with Cartesia, to deliver an exceptional candidate experience
Partnership: Collaborate closely with Recruiting and hiring managers to understand the precise technical requirements and nuances of each role, continuously calibrating your search.
2-5 years of experience in technical sourcing, with a focus on Engineering hiring
A proven ability to source for highly specialized technical roles. You are comfortable discussing concepts related to machine learning, deep learning, NLP, or large-scale systems
A track record of leveraging sourcing techniques including Boolean search, talent mapping, and navigating complex online ecosystems to uncover talent
Excellent written and verbal communication skills, with the ability to craft messages that are both technically credible and personally engaging
A relentless drive to find the best talent and a deep curiosity about the AI landscape that fuels your search.
Meticulous attention to detail and experience using applicant tracking systems (ATS) and other recruiting software to manage candidate pipelines.
Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.
๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.
๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.
๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.
๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.
๐ฐ Compensation Competitive base salary alongside attractive equity package.
๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.
๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave
๐ฆ 401(k)
๐ Commuter Allowance A monthly stipend to help you get to and from the office.
๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.
๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.
๐ฆ Your own personal Yoshi
Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.
","descriptionPlain":"ABOUT CARTESIA\n\nOur mission is to architect AI that learns from and interacts with the world like humans do.\n\nWe're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.\n\nWe're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.\n\n\n\n\nABOUT THE ROLE\n\nAs a Technical Sourcer, you will be the engine for our growth as a leading foundation model company, responsible for identifying and engaging world-class technical talent. This is an incredibly hands-on role, where youโll be expected to not only source, but to screen and manage candidates through the process, as well as lead on strategic hiring initiatives alongside Recruiting.\n\nย \n\n\nYOUR IMPACT\n\n - Strategic Talent Mapping: Develop and execute innovative sourcing strategies to identify and attract top-tier talent for roles in Research/ML Engineering, Platform & Software Engineering and Product Engineering\n\n - Creative Sourcing: Go beyond LinkedIn. Utilize a variety of channels including academic conferences (NeurIPS, ICML, ICLR), research publications (arXiv, Google Scholar), open-source communities (GitHub, Hugging Face), and professional networks to find exceptional candidates.\n\n - Pipeline Generation: Build and maintain a robust pipeline of qualified, passive candidates for current and future hiring needs, ensuring a healthy influx of talent for our most critical roles.\n\n - Personalized Outreach: Craft compelling, personalized, and authentic outreach messages that resonate with a highly technical and sought-after audience. You understand that a generic message won't work.\n\n - Candidate Engagement: Act as the first point of contact for candidates entering the process with Cartesia, to deliver an exceptional candidate experience\n\n - Partnership: Collaborate closely with Recruiting and hiring managers to understand the precise technical requirements and nuances of each role, continuously calibrating your search.\n \n ย \n\n\nWHAT YOU BRING\n\n - 2-5 years of experience in technical sourcing, with a focus on Engineering hiring\n\n - A proven ability to source for highly specialized technical roles. You are comfortable discussing concepts related to machine learning, deep learning, NLP, or large-scale systems\n\n - A track record of leveraging sourcing techniques including Boolean search, talent mapping, and navigating complex online ecosystems to uncover talent\n\n - Excellent written and verbal communication skills, with the ability to craft messages that are both technically credible and personally engaging\n\n - A relentless drive to find the best talent and a deep curiosity about the AI landscape that fuels your search.\n\n - Meticulous attention to detail and experience using applicant tracking systems (ATS) and other recruiting software to manage candidate pipelines.\n\n\n\nNote: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.\n\n\n\n\nMORE DETAILS\n\n๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.\n\n๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.\n\n๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.\n\n๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.\n\n\n\n\nOUR BENEFITS (US EMPLOYEES ONLY) \n\n๐ฐ Compensation Competitive base salary alongside attractive equity package.\n\n๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.\n\n๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave \n\n๐ฆ 401(k)\n\n๐ Commuter Allowance A monthly stipend to help you get to and from the office.\n\n๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.\n\n๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.\n\n๐ฆ Your own personal Yoshi\n\n\n\n\nOUR COMMITMENT TO EQUAL OPPORTUNITY\n\nCartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.","compensation":{"compensationTierSummary":"$140K โ $180K","scrapeableCompensationSalarySummary":"$140K - $180K","compensationTiers":[{"id":"22489b01-daaf-459c-aa74-9a40bad9ae01","tierSummary":"$140K โ $180K","title":null,"additionalInformation":null,"components":[{"id":"cf68bcc0-223e-432d-a83c-182d2211038e","summary":"$140K โ $180K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":140000,"maxValue":180000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":140000,"maxValue":180000}]}},{"id":"eeac6a77-eac5-4d72-b3d4-97d53cac4c89","title":"Applied Researcher, Audio Post-Training","department":"Research","team":"Applied Research","employmentType":"FullTime","location":"*HQ - San Francisco, CA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-07-20T23:34:25.788+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/cartesia/eeac6a77-eac5-4d72-b3d4-97d53cac4c89","applyUrl":"https://jobs.ashbyhq.com/cartesia/eeac6a77-eac5-4d72-b3d4-97d53cac4c89/application","descriptionHtml":"Our mission is to architect AI that learns from and interacts with the world like humans do.
We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.
On the Audio Post-Training team, youโll be building and improving the capabilities that define how the rest of the world interacts with our generative audio models. This team is where customer needs meet research, and covers the full spectrum of modeling from ideation through productionization. On any given day, you might design evaluations to reliably measure new capabilities, build processing pipelines to improve data quality, experiment with finetuning and reinforcement learning approaches to refine model behavior, and more.
This role is broad, and cross functional. Members of this team should combine broad research experience with a deep care about building to solve for customer needs and a strong sense of end-to-end ownership. You should be excited to synthesize customer complaints into a holistic understanding of capability gaps, to drive research efforts across data, model training, and evaluation to close those gaps, and to communicate those improvements to product and customer stakeholders. Ultimately, you will be responsible for creating the model experience that the rest of the world sees.
Collaborate with product teams to understand and prioritize customer asks
Cut through the ambiguity of vaguely described behavioral problems to make concrete research plans.
Ideate and experiment across the full modeling stack, including data processing, synthetic data, SFT, RL, and evals to solve for high priority model capabilities
Root cause failures in production models and understand how to fix them in future model iterations
Decide which features and capabilities are ready for public launch
Strong fundamentals in software engineering, machine learning, debugging complex systems, and the ability + desire to learn quickly.
Experience building and ensuring quality of large multilingual datasets.
Experience training and debugging generative models (speech, text, or multimodal), especially SFT, RL, synthetic data, and evaluation (both human and automated).
Excitement about solving problems grounded in real customer needs, not just benchmarks.
Bonus points if you have native proficiency in other languages!
Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.
๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.
๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.
๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.
๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.
๐ฐ Compensation Competitive base salary alongside attractive equity package.
๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.
๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave
๐ฆ 401(k)
๐ Commuter Allowance A monthly stipend to help you get to and from the office.
๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.
๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.
๐ฆ Your own personal Yoshi
Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.
","descriptionPlain":"ABOUT CARTESIA\n\nOur mission is to architect AI that learns from and interacts with the world like humans do.\n\nWe're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.\n\nWe're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.\n\n\n\n\nABOUT THE ROLE\n\nOn the Audio Post-Training team, youโll be building and improving the capabilities that define how the rest of the world interacts with our generative audio models. This team is where customer needs meet research, and covers the full spectrum of modeling from ideation through productionization. On any given day, you might design evaluations to reliably measure new capabilities, build processing pipelines to improve data quality, experiment with finetuning and reinforcement learning approaches to refine model behavior, and more.\n\nThis role is broad, and cross functional. Members of this team should combine broad research experience with a deep care about building to solve for customer needs and a strong sense of end-to-end ownership. You should be excited to synthesize customer complaints into a holistic understanding of capability gaps, to drive research efforts across data, model training, and evaluation to close those gaps, and to communicate those improvements to product and customer stakeholders. Ultimately, you will be responsible for creating the model experience that the rest of the world sees.\n\n\n\n\nYOUR IMPACT\n\n - Collaborate with product teams to understand and prioritize customer asks\n\n - Cut through the ambiguity of vaguely described behavioral problems to make concrete research plans.\n\n - Ideate and experiment across the full modeling stack, including data processing, synthetic data, SFT, RL, and evals to solve for high priority model capabilities\n\n - Root cause failures in production models and understand how to fix them in future model iterations\n\n - Decide which features and capabilities are ready for public launch\n\nย \n\n\nWHAT YOU BRING\n\n - Strong fundamentals in software engineering, machine learning, debugging complex systems, and the ability + desire to learn quickly.\n\n - Experience building and ensuring quality of large multilingual datasets.\n\n - Experience training and debugging generative models (speech, text, or multimodal), especially SFT, RL, synthetic data, and evaluation (both human and automated).\n\n - Excitement about solving problems grounded in real customer needs, not just benchmarks.\n\n - Bonus points if you have native proficiency in other languages!\n \n ย \n\nNote: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.\n\n\n\n\nMORE DETAILS\n\n๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.\n\n๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.\n\n๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.\n\n๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.\n\n\n\n\nOUR BENEFITS (US EMPLOYEES ONLY) \n\n๐ฐ Compensation Competitive base salary alongside attractive equity package.\n\n๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.\n\n๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave \n\n๐ฆ 401(k)\n\n๐ Commuter Allowance A monthly stipend to help you get to and from the office.\n\n๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.\n\n๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.\n\n๐ฆ Your own personal Yoshi\n\n\n\n\nOUR COMMITMENT TO EQUAL OPPORTUNITY\n\nCartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.","compensation":{"compensationTierSummary":"$200K โ $350K โข Offers Equity","scrapeableCompensationSalarySummary":"$200K - $350K","compensationTiers":[{"id":"0e89571d-5410-428c-82d4-32d6c9f13671","tierSummary":"$200K โ $350K โข Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"220796c7-31ce-4ef0-97e2-1106e2e545bf","summary":"$200K โ $350K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":200000,"maxValue":350000},{"id":"f032a139-440d-4783-a0c7-a535ab446c01","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":200000,"maxValue":350000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"6f65b698-4c1d-4439-9990-2a31c847dd21","title":"Engineering Manager, Data","department":"Research","team":"Data","employmentType":"FullTime","location":"*HQ - San Francisco, CA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-07-21T00:04:32.098+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/cartesia/6f65b698-4c1d-4439-9990-2a31c847dd21","applyUrl":"https://jobs.ashbyhq.com/cartesia/6f65b698-4c1d-4439-9990-2a31c847dd21/application","descriptionHtml":"Our mission is to architect AI that learns from and interacts with the world like humans do.
We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.
At Cartesia, the quality of our models is inseparable from the quality of our data. As we push the frontier of real-time multimodal AI, we're looking for a leader to own the systems, datasets, and research that make our training data exceptional.
You'll lead our Data team, responsible for three tightly connected areas:
Data infrastructure โ web-scale processing and storage that keeps petabytes of multimodal data flowing reliably to the teams that depend on it.
State-of-the-art pre-training datasets โ building the multimodal annotation models that understand who said what, when, and how, and curating the data mixes that shape model behavior.
Data-centric modeling โ training and evaluating models to understand what actually makes data good, and turning those insights into better datasets.
You'll start by managing a team of 6โ8 spanning core data infrastructure and individual modeling efforts, and grow it toward ~12 as our ambitions scale. This is a role for someone who has done this before: built and led a data team, shipped data at the scale modern models demand, and knows the difference between infrastructure that works in a demo and infrastructure that works at web scale.
Lead and grow a high-caliber team of data infrastructure engineers and data-focused researchers, splitting focus between shared infra and dedicated modeling teams.
Set the technical direction for how Cartesia processes, stores, and serves multimodal data at web scale.
Drive the creation of SOTA multimodal pre-training datasets โ including the annotation models and curation strategies that determine what our models learn.
Establish a rigorous, empirical approach to data quality: training and evaluating models specifically to understand what makes data valuable, and feeding that back into dataset decisions.
Partner closely with our modeling and research teams to make sure data work translates directly into better models.
Hire, mentor, and develop engineers and researchers as the team scales from a handful of people to a full organization.
Proven management experience, including directly leading a data team of at least 6 people.
Hands-on familiarity with data infrastructure at scale โ processing, storage, and the systems that make large-scale data usable.
A track record of building and leading data efforts, ideally in the context of a modeling project.
Previous modeling experience
Experience building data for a generative modeling organization.
Familiarity with multimodal data (audio, speech, and beyond).
Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.
๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.
๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.
๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.
๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.
๐ฐ Compensation Competitive base salary alongside attractive equity package.
๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.
๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave
๐ฆ 401(k)
๐ Commuter Allowance A monthly stipend to help you get to and from the office.
๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.
๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.
๐ฆ Your own personal Yoshi
Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.
","descriptionPlain":"ABOUT CARTESIA\n\nOur mission is to architect AI that learns from and interacts with the world like humans do.\n\nWe're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.\n\nWe're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.\n\n\n\n\nABOUT THE ROLE\n\nAt Cartesia, the quality of our models is inseparable from the quality of our data. As we push the frontier of real-time multimodal AI, we're looking for a leader to own the systems, datasets, and research that make our training data exceptional.\n\nYou'll lead our Data team, responsible for three tightly connected areas:\n\n - Data infrastructure โ web-scale processing and storage that keeps petabytes of multimodal data flowing reliably to the teams that depend on it.\n\n - State-of-the-art pre-training datasets โ building the multimodal annotation models that understand who said what, when, and how, and curating the data mixes that shape model behavior.\n\n - Data-centric modeling โ training and evaluating models to understand what actually makes data good, and turning those insights into better datasets.\n\nYou'll start by managing a team of 6โ8 spanning core data infrastructure and individual modeling efforts, and grow it toward ~12 as our ambitions scale. This is a role for someone who has done this before: built and led a data team, shipped data at the scale modern models demand, and knows the difference between infrastructure that works in a demo and infrastructure that works at web scale.\n\n\n\n\nYOUR IMPACT\n\n - Lead and grow a high-caliber team of data infrastructure engineers and data-focused researchers, splitting focus between shared infra and dedicated modeling teams.\n\n - Set the technical direction for how Cartesia processes, stores, and serves multimodal data at web scale.\n\n - Drive the creation of SOTA multimodal pre-training datasets โ including the annotation models and curation strategies that determine what our models learn.\n\n - Establish a rigorous, empirical approach to data quality: training and evaluating models specifically to understand what makes data valuable, and feeding that back into dataset decisions.\n\n - Partner closely with our modeling and research teams to make sure data work translates directly into better models.\n\n - Hire, mentor, and develop engineers and researchers as the team scales from a handful of people to a full organization.\n\n\n\n\nWHAT YOU BRING\n\n - Proven management experience, including directly leading a data team of at least 6 people.\n\n - Hands-on familiarity with data infrastructure at scale โ processing, storage, and the systems that make large-scale data usable.\n\n - A track record of building and leading data efforts, ideally in the context of a modeling project.\n\n\n\n\nNICE-TO-HAVES\n\n - Previous modeling experience\n\n - Experience building data for a generative modeling organization.\n\n - Familiarity with multimodal data (audio, speech, and beyond).\n\nNote: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.\n\n\n\n\nMORE DETAILS\n\n๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.\n\n๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.\n\n๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.\n\n๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.\n\n\n\n\nOUR BENEFITS (US EMPLOYEES ONLY) \n\n๐ฐ Compensation Competitive base salary alongside attractive equity package.\n\n๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.\n\n๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave \n\n๐ฆ 401(k)\n\n๐ Commuter Allowance A monthly stipend to help you get to and from the office.\n\n๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.\n\n๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.\n\n๐ฆ Your own personal Yoshi\n\n\n\n\nOUR COMMITMENT TO EQUAL OPPORTUNITY\n\nCartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.","compensation":{"compensationTierSummary":"$250K โ $375K โข Offers Equity","scrapeableCompensationSalarySummary":"$250K - $375K","compensationTiers":[{"id":"27115c25-10b1-4dfd-8de2-44f22184759b","tierSummary":"$250K โ $375K โข Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"c82739f5-5adc-4994-a4ed-dd6609beaeca","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"24a9515a-260d-44df-9355-d30145f32483","summary":"$250K โ $375K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":250000,"maxValue":375000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":250000,"maxValue":375000}]}},{"id":"19e6cc20-afb5-4dd5-af21-bca7a3ac406a","title":"Workplace Operations","department":"People","team":"People","employmentType":"FullTime","location":"*HQ - San Francisco, CA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-07-31T22:50:51.661+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/cartesia/19e6cc20-afb5-4dd5-af21-bca7a3ac406a","applyUrl":"https://jobs.ashbyhq.com/cartesia/19e6cc20-afb5-4dd5-af21-bca7a3ac406a/application","descriptionHtml":"Our mission is to architect AI that learns from and interacts with the world like humans do.
We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.
Cartesia is hiring for Workplace Operations to own internal events, provide light administrative support to our founders, and to grow into leading the search for and buildout of our next office, plus new international hubs as we expand globally.
This is a high-trust, high-agency role. You'll be the person who makes Cartesia a place the team is proud to show up to and bring candidates into, the one the founders rely on to keep their day-to-day running smoothly, and the one who builds and runs every new space we open as we scale.
Own internal events & culture programming: Plan and execute team events, from small happy hours to in-office fireside chats events, end-to-end and without hand-holding.
Support the founders: Handle light administrative work, including calendar, travel, ad hoc requests, with the speed and discretion it requires.
Run day-to-day office operations: Keep supplies stocked, vendors managed, and the office running before anyone notices something could break.
Manage vendors & budget: Track spend, negotiate contracts, and flag anomalies or cost-saving opportunities before they become problems.
Own the office component of onboarding: Make sure every new hire's desk, equipment, and access are ready on day one.
Lead the search for Cartesia's next office: Own site selection, tours, lease negotiation, design/buildout, and move logistics end-to-end. This will be your biggest project next year.
Stand up new international hubs: As we open new offices globally, own the space, local vendors, and experience in every new location.
2โ5 years of office management, workplace coordination, recruiting coordination or executive/administrative support at a fast-moving company, ideally in tech or a startup environment.
Vendor and facilities management experience. You know how to negotiate, hold vendors accountable, and escalate when needed.
Budget management comfort. You can track spend, flag overruns, and think in cost-per-employee terms.
Comfortable providing light administrative/executive support to founders or senior leadership, with the discretion and responsiveness that requires.
Comfortable with ambiguity. You've operated where the process didn't exist yet and built it while running.
Genuinely care about making spaces and experiences better. You take pride in the details most people don't notice.
Genuinely excited about people and culture, not just logistics. You're the person hyping up the room, not just running it
Experience at a company that went through rapid headcount growth. Have been the first Office Manager at a company and built the function from scratch.
Have led or closely supported an office search, lease negotiation, or HQ relocation.
Experience standing up a new office in a new city or country.
Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.
๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.
๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.
๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.
๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.
๐ฐ Compensation Competitive base salary alongside attractive equity package.
๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.
๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave
๐ฆ 401(k)
๐ Commuter Allowance A monthly stipend to help you get to and from the office.
๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.
๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.
๐ฆ Your own personal Yoshi
Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.
","descriptionPlain":"ABOUT CARTESIA\n\nOur mission is to architect AI that learns from and interacts with the world like humans do.\n\nWe're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.\n\nWe're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.\n\n\n\n\nABOUT THE ROLE\n\nCartesia is hiring for Workplace Operations to own internal events, provide light administrative support to our founders, and to grow into leading the search for and buildout of our next office, plus new international hubs as we expand globally.\n\nThis is a high-trust, high-agency role. You'll be the person who makes Cartesia a place the team is proud to show up to and bring candidates into, the one the founders rely on to keep their day-to-day running smoothly, and the one who builds and runs every new space we open as we scale.\n\n\n\n\nWHAT YOU'LL DO\n\n - Own internal events & culture programming: Plan and execute team events, from small happy hours to in-office fireside chats events, end-to-end and without hand-holding.\n\n - Support the founders: Handle light administrative work, including calendar, travel, ad hoc requests, with the speed and discretion it requires.\n\n - Run day-to-day office operations: Keep supplies stocked, vendors managed, and the office running before anyone notices something could break.\n\n - Manage vendors & budget: Track spend, negotiate contracts, and flag anomalies or cost-saving opportunities before they become problems.\n\n - Own the office component of onboarding: Make sure every new hire's desk, equipment, and access are ready on day one.\n\n - Lead the search for Cartesia's next office: Own site selection, tours, lease negotiation, design/buildout, and move logistics end-to-end. This will be your biggest project next year.\n\n - Stand up new international hubs: As we open new offices globally, own the space, local vendors, and experience in every new location.\n \n \n\n\nWHAT YOU BRING\n\n - 2โ5 years of office management, workplace coordination, recruiting coordination or executive/administrative support at a fast-moving company, ideally in tech or a startup environment.\n\n - Vendor and facilities management experience. You know how to negotiate, hold vendors accountable, and escalate when needed.\n\n - Budget management comfort. You can track spend, flag overruns, and think in cost-per-employee terms.\n\n - Comfortable providing light administrative/executive support to founders or senior leadership, with the discretion and responsiveness that requires.\n\n - Comfortable with ambiguity. You've operated where the process didn't exist yet and built it while running.\n\n - Genuinely care about making spaces and experiences better. You take pride in the details most people don't notice.\n\n - Genuinely excited about people and culture, not just logistics. You're the person hyping up the room, not just running it\n \n \n\n\nNICE TO HAVE\n\n - Experience at a company that went through rapid headcount growth. Have been the first Office Manager at a company and built the function from scratch.\n\n - Have led or closely supported an office search, lease negotiation, or HQ relocation.\n\n - Experience standing up a new office in a new city or country.\n\n\n\nNote: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.\n\n\n\n\nMORE DETAILS\n\n๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.\n\n๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.\n\n๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.\n\n๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.\n\n\n\n\nOUR BENEFITS (US EMPLOYEES ONLY) \n\n๐ฐ Compensation Competitive base salary alongside attractive equity package.\n\n๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.\n\n๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave \n\n๐ฆ 401(k)\n\n๐ Commuter Allowance A monthly stipend to help you get to and from the office.\n\n๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.\n\n๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.\n\n๐ฆ Your own personal Yoshi\n\n\n\n\nOUR COMMITMENT TO EQUAL OPPORTUNITY\n\nCartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.","compensation":{"compensationTierSummary":"$100K โ $130K","scrapeableCompensationSalarySummary":"$100K - $130K","compensationTiers":[{"id":"d89e5b84-1801-41d3-9509-f6623b074f21","tierSummary":"$100K โ $130K","title":null,"additionalInformation":null,"components":[{"id":"c5db81af-819d-4022-9fa5-ce1cc63322a6","summary":"$100K โ $130K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":100000,"maxValue":130000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":100000,"maxValue":130000}]}},{"id":"6cc199f2-1bb6-4c95-b25c-7885cf2fbe8c","title":"Scaled Customer Success Manager","department":"GTM","team":"GTM","employmentType":"FullTime","location":"*HQ - San Francisco, CA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-08-04T00:24:57.856+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/cartesia/6cc199f2-1bb6-4c95-b25c-7885cf2fbe8c","applyUrl":"https://jobs.ashbyhq.com/cartesia/6cc199f2-1bb6-4c95-b25c-7885cf2fbe8c/application","descriptionHtml":"Our mission is to architect AI that learns from and interacts with the world like humans do.
We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.
We're hiring our first Scaled Customer Success Manager to build the foundation for how thousands of customers succeed with Cartesia. Our customers range from scrappy AI startups shipping their first voice agent to rapidly growing companies building production-grade voice experiences. As our customer base grows, we can't just keep adding headcount to keep up. Success needs to scale through thoughtful systems, great customer programs, and product expertise.
You'll own the post-sales experience for a large portfolio of customers, helping them onboard successfully, adopt our platform, and grow over time. You'll partner closely with Sales, Product, Engineering, and Marketing to improve the customer journey while building the playbooks, automations, and lifecycle programs that make Customer Success a force multiplier for the company.
Own the customer journey from onboarding through renewal for a growing portfolio of startup and SMB customers.
Help customers realize value quickly by driving product adoption and successful onboarding.
Build repeatable onboarding, education, and lifecycle programs that scale from hundreds to thousands of customers.
Monitor customer health, identify risks early, and proactively improve retention.
Partner with Sales to identify expansion opportunities driven by customer adoption and usage.
Become a trusted product expert, helping customers adopt best practices and get the most out of the platform.
Create scalable customer assets including playbooks, documentation, webinars, office hours, and enablement content.
Partner with Product and Engineering to bring customer feedback into roadmap discussions and improve the overall product experience.
Continuously improve Customer Success operations through automation, AI, and better systems.
3โ6 years of experience in Customer Success, Technical Customer Success, Account Management, Solutions Consulting, or a similar customer-facing role at a high-growth B2B SaaS company.
Experience managing a scaled portfolio of customers while maintaining strong customer outcomes.
Excellent organizational skills with the ability to prioritize across many customers and competing initiatives.
Strong product intuition and customer empathyโ you enjoy understanding customer goals and helping them succeed.
A data-driven approach to Customer Success. You're comfortable using product usage data, customer health signals, and CRM insights to prioritize your work.
Excellent written and verbal communication skills across technical and non-technical audiences.
High ownership and comfort operating with ambiguity. You proactively identify problems and drive them to resolution.
A builder mindset. You enjoy creating playbooks, improving processes, and designing systems that scale beyond your own portfolio.
Commercial awareness and an understanding of how adoption drives retention and expansion.
Comfortable using AI tools to automate repetitive work and spend more time solving customer problems.
Experience with developer tools, APIs, AI products, infrastructure software, or technical SaaS platforms.
Experience supporting technical buyers such as engineers or product teams.
Experience building customer education programs, lifecycle campaigns, or self-service onboarding experiences.
Even if you don't meet every qualification above, we'd still encourage you to apply. We care much more about your ability to learn, build, and create exceptional customer experiences than checking every box.
Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.
๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.
๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.
๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.
๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.
๐ฐ Compensation Competitive base salary alongside attractive equity package.
๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.
๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave
๐ฆ 401(k)
๐ Commuter Allowance A monthly stipend to help you get to and from the office.
๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.
๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.
๐ฆ Your own personal Yoshi
Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.
","descriptionPlain":"ABOUT CARTESIA\n\nOur mission is to architect AI that learns from and interacts with the world like humans do.\n\nWe're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.\n\nWe're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.\n\n\n\n\nABOUT THE ROLE\n\nWe're hiring our first Scaled Customer Success Manager to build the foundation for how thousands of customers succeed with Cartesia. Our customers range from scrappy AI startups shipping their first voice agent to rapidly growing companies building production-grade voice experiences. As our customer base grows, we can't just keep adding headcount to keep up. Success needs to scale through thoughtful systems, great customer programs, and product expertise.\n\nYou'll own the post-sales experience for a large portfolio of customers, helping them onboard successfully, adopt our platform, and grow over time. You'll partner closely with Sales, Product, Engineering, and Marketing to improve the customer journey while building the playbooks, automations, and lifecycle programs that make Customer Success a force multiplier for the company. \n\n\n\n\nYOUR IMPACT\n\n - Own the customer journey from onboarding through renewal for a growing portfolio of startup and SMB customers.\n\n - Help customers realize value quickly by driving product adoption and successful onboarding.\n\n - Build repeatable onboarding, education, and lifecycle programs that scale from hundreds to thousands of customers.\n\n - Monitor customer health, identify risks early, and proactively improve retention.\n\n - Partner with Sales to identify expansion opportunities driven by customer adoption and usage.\n\n - Become a trusted product expert, helping customers adopt best practices and get the most out of the platform.\n\n - Create scalable customer assets including playbooks, documentation, webinars, office hours, and enablement content.\n\n - Partner with Product and Engineering to bring customer feedback into roadmap discussions and improve the overall product experience.\n\n - Continuously improve Customer Success operations through automation, AI, and better systems.\n \n \n\n\nWHAT YOU BRING\n\n - 3โ6 years of experience in Customer Success, Technical Customer Success, Account Management, Solutions Consulting, or a similar customer-facing role at a high-growth B2B SaaS company.\n\n - Experience managing a scaled portfolio of customers while maintaining strong customer outcomes.\n\n - Excellent organizational skills with the ability to prioritize across many customers and competing initiatives.\n\n - Strong product intuition and customer empathyโ you enjoy understanding customer goals and helping them succeed.\n\n - A data-driven approach to Customer Success. You're comfortable using product usage data, customer health signals, and CRM insights to prioritize your work.\n\n - Excellent written and verbal communication skills across technical and non-technical audiences.\n\n - High ownership and comfort operating with ambiguity. You proactively identify problems and drive them to resolution.\n\n - A builder mindset. You enjoy creating playbooks, improving processes, and designing systems that scale beyond your own portfolio.\n\n - Commercial awareness and an understanding of how adoption drives retention and expansion.\n\n - Comfortable using AI tools to automate repetitive work and spend more time solving customer problems.\n\n\n\n\nNICE TO HAVE \n\n - Experience with developer tools, APIs, AI products, infrastructure software, or technical SaaS platforms.\n\n - Experience supporting technical buyers such as engineers or product teams.\n\n - Experience building customer education programs, lifecycle campaigns, or self-service onboarding experiences.\n\nEven if you don't meet every qualification above, we'd still encourage you to apply. We care much more about your ability to learn, build, and create exceptional customer experiences than checking every box.\n\n\n\nNote: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.\n\n\n\n\nMORE DETAILS\n\n๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.\n\n๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.\n\n๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.\n\n๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.\n\n\n\n\nOUR BENEFITS (US EMPLOYEES ONLY) \n\n๐ฐ Compensation Competitive base salary alongside attractive equity package.\n\n๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.\n\n๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave \n\n๐ฆ 401(k)\n\n๐ Commuter Allowance A monthly stipend to help you get to and from the office.\n\n๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.\n\n๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.\n\n๐ฆ Your own personal Yoshi\n\n\n\n\nOUR COMMITMENT TO EQUAL OPPORTUNITY\n\nCartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.","compensation":{"compensationTierSummary":"$145K โ $180K โข Offers Equity","scrapeableCompensationSalarySummary":"$145K - $180K","compensationTiers":[{"id":"f04b6c1b-8a81-4bcc-8800-3b8b54505617","tierSummary":"OTE $145K โ $180K โข Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"ae2021af-142d-4809-83aa-32beeff195dc","summary":"OTE $145K โ $180K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":145000,"maxValue":180000},{"id":"b5ce08c8-dc8f-493b-b987-cb40af55cd67","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":145000,"maxValue":180000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"c9bb96f8-cf9c-422d-bd98-d970e7294d0d","title":"Language Lead - English (Contract)","department":"Product","team":"Product Operations","employmentType":"Contract","location":"Remote","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-08-04T23:38:33.224+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{}},"jobUrl":"https://jobs.ashbyhq.com/cartesia/c9bb96f8-cf9c-422d-bd98-d970e7294d0d","applyUrl":"https://jobs.ashbyhq.com/cartesia/c9bb96f8-cf9c-422d-bd98-d970e7294d0d/application","descriptionHtml":"Our mission is to architect AI that learns from and interacts with the world like humans do.
We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.
We are seeking native-level English speakers with a linguistics background to serve as the primary language resource for voice AI in their language. You will be the trusted point of contact for all questions, quality decisions, and language-specific work related to English.
This is not a standard annotation engagement. You will own your language end to end, which includes managing annotation quality, auditing data, monitoring product performance, investigating customer-reported issues, and executing projects that require deep linguistic expertise and attention to detail. You will operate independently across these workstreams and serve as the team's go-to resource for anything related to your language.
This is an ongoing contractor engagement. Availability during some US Pacific business hours is preferred to allow for team syncs and real-time support.
You will coordinate with the Human Evals Manager on project deliverables and timelines. Some examples of what your day-to-day work may include:
Answer questions from annotators about guidelines, edge cases, or language-specific issues via an agreed project communication channel.
Cascade new feedback, instructions, or rubric updates to annotators working on your projects.
Listen to annotator-rated audio files and check whether their ratings and written feedback align with the rubric.
Prepare written quality assessments for annotators with specific examples and recommendations.
Listen to TTS output and provide ground truth assessments of pronunciation, prosody, and naturalness in your language.
Update or expand sections of the annotation guidelines when you find gaps or edge cases.
Prep and run calibration meetings with annotators.
Hold office hours on a mutually agreed schedule during active studies so annotators can ask questions in real time.
Develop onboarding materials and resources for new annotators.
Write QA reports on annotation quality and calibration outcomes.
Review production audio in your language and flag quality issues to the team.
Investigate language-specific issues reported by customers and identify root causes.
Audit datasets for linguistic accuracy, completeness, and consistency.
Roughly 40 hours per week with flexibility in scheduling. Project hours may vary depending on active studies, data projects, and product needs. Participation in periodic coordination meetings during US Pacific hours is expected.
Native-level proficiency in English as spoken in the US.
Experience with data annotation, transcription, or language quality assurance.
Strong foundation in linguistics or a related field, with the ability to apply concepts like phonetics, prosody, and intonation when evaluating speech and writing annotation guidelines.
Strong written English proficiency. All guidelines, feedback, reports, and team communication are in English.
Ability to write clear, structured instructions and deliver specific, actionable feedback to annotators.
Comfortable working with data and metrics such as inter-rater agreement scores, audit spreadsheets, and structured feedback templates.
Self-directed and able to manage feedback cycles, QA reviews, and data projects without close oversight.
Experience writing or maintaining annotation guidelines or rubrics.
Experience training, mentoring, or managing other annotators.
Experience with audio evaluation, TTS, or STT.
Conversational spoken English proficiency for meetings and calibration syncs.
Experience working with distributed, remote teams.
This is a 1099 contract opportunity and will not be eligible for the benefits below. Language Leads work on an ongoing basis, renewable by mutual agreement. You will control your own methods for completing assigned work, supply your own equipment, and are responsible for your own taxes. You must be authorized to work in your country of residence.
Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.
๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.
๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.
๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.
๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.
๐ฐ Compensation Competitive base salary alongside attractive equity package.
๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.
๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave
๐ฆ 401(k)
๐ Commuter Allowance A monthly stipend to help you get to and from the office.
๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.
๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.
๐ฆ Your own personal Yoshi
Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.
","descriptionPlain":"ABOUT CARTESIA\n\nOur mission is to architect AI that learns from and interacts with the world like humans do.\n\nWe're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.\n\nWe're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.\n\n\n\n\nOVERVIEW\n\nWe are seeking native-level English speakers with a linguistics background to serve as the primary language resource for voice AI in their language. You will be the trusted point of contact for all questions, quality decisions, and language-specific work related to English.\n\nThis is not a standard annotation engagement. You will own your language end to end, which includes managing annotation quality, auditing data, monitoring product performance, investigating customer-reported issues, and executing projects that require deep linguistic expertise and attention to detail. You will operate independently across these workstreams and serve as the team's go-to resource for anything related to your language.\n\nThis is an ongoing contractor engagement. Availability during some US Pacific business hours is preferred to allow for team syncs and real-time support.\n\n\n\n\nABOUT THE ENGAGEMENT\n\nYou will coordinate with the Human Evals Manager on project deliverables and timelines. Some examples of what your day-to-day work may include:\n\n - Answer questions from annotators about guidelines, edge cases, or language-specific issues via an agreed project communication channel.\n\n - Cascade new feedback, instructions, or rubric updates to annotators working on your projects.\n\n - Listen to annotator-rated audio files and check whether their ratings and written feedback align with the rubric.\n\n - Prepare written quality assessments for annotators with specific examples and recommendations.\n\n - Listen to TTS output and provide ground truth assessments of pronunciation, prosody, and naturalness in your language.\n\n - Update or expand sections of the annotation guidelines when you find gaps or edge cases.\n\n - Prep and run calibration meetings with annotators.\n\n - Hold office hours on a mutually agreed schedule during active studies so annotators can ask questions in real time.\n\n - Develop onboarding materials and resources for new annotators.\n\n - Write QA reports on annotation quality and calibration outcomes.\n\n - Review production audio in your language and flag quality issues to the team.\n\n - Investigate language-specific issues reported by customers and identify root causes.\n\n - Audit datasets for linguistic accuracy, completeness, and consistency.\n \n \n\n\nCOMMITMENT\n\nRoughly 40 hours per week with flexibility in scheduling. Project hours may vary depending on active studies, data projects, and product needs. Participation in periodic coordination meetings during US Pacific hours is expected.\n\n\n\n\nREQUIREMENTS\n\n - Native-level proficiency in English as spoken in the US.\n\n - Experience with data annotation, transcription, or language quality assurance.\n\n - Strong foundation in linguistics or a related field, with the ability to apply concepts like phonetics, prosody, and intonation when evaluating speech and writing annotation guidelines.\n\n - Strong written English proficiency. All guidelines, feedback, reports, and team communication are in English.\n\n - Ability to write clear, structured instructions and deliver specific, actionable feedback to annotators.\n\n - Comfortable working with data and metrics such as inter-rater agreement scores, audit spreadsheets, and structured feedback templates.\n\n - Self-directed and able to manage feedback cycles, QA reviews, and data projects without close oversight.\n\n\nPREFERRED\n\n - Experience writing or maintaining annotation guidelines or rubrics.\n\n - Experience training, mentoring, or managing other annotators.\n\n - Experience with audio evaluation, TTS, or STT.\n\n - Conversational spoken English proficiency for meetings and calibration syncs.\n\n - Experience working with distributed, remote teams.\n\n\nThis is a 1099 contract opportunity and will not be eligible for the benefits below. Language Leads work on an ongoing basis, renewable by mutual agreement. You will control your own methods for completing assigned work, supply your own equipment, and are responsible for your own taxes. You must be authorized to work in your country of residence.\n\n\n\nNote: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.\n\n\n\n\nMORE DETAILS\n\n๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.\n\n๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.\n\n๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.\n\n๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.\n\n\n\n\nOUR BENEFITS (US EMPLOYEES ONLY) \n\n๐ฐ Compensation Competitive base salary alongside attractive equity package.\n\n๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.\n\n๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave \n\n๐ฆ 401(k)\n\n๐ Commuter Allowance A monthly stipend to help you get to and from the office.\n\n๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.\n\n๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.\n\n๐ฆ Your own personal Yoshi\n\n\n\n\nOUR COMMITMENT TO EQUAL OPPORTUNITY\n\nCartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.","compensation":{"compensationTierSummary":"$30 โ $45 per hour","scrapeableCompensationSalarySummary":null,"compensationTiers":[{"id":"fee8f928-ad57-41a0-a240-9cdb0409ac50","tierSummary":"$30 โ $45 per hour","title":null,"additionalInformation":null,"components":[{"id":"cf421b17-80b3-4a3e-9736-0dcb6db00c21","summary":"$30 โ $45 per hour","compensationType":"Salary","interval":"1 HOUR","currencyCode":"USD","minValue":30,"maxValue":45}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 HOUR","currencyCode":"USD","minValue":30,"maxValue":45}]}},{"id":"68568f07-adac-4deb-a1fa-009d0d9d9879","title":"Language Lead - Hindi (Contract)","department":"Product","team":"Product Operations","employmentType":"Contract","location":"Remote","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-08-04T23:42:02.547+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{}},"jobUrl":"https://jobs.ashbyhq.com/cartesia/68568f07-adac-4deb-a1fa-009d0d9d9879","applyUrl":"https://jobs.ashbyhq.com/cartesia/68568f07-adac-4deb-a1fa-009d0d9d9879/application","descriptionHtml":"Our mission is to architect AI that learns from and interacts with the world like humans do.
We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.
We are seeking native-level Hindi speakers with a linguistics background to serve as the primary language resource for voice AI in their language. You will be the trusted point of contact for all questions, quality decisions, and language-specific work related to Hindi.
This is not a standard annotation engagement. You will own your language end to end, which includes managing annotation quality, auditing data, monitoring product performance, investigating customer-reported issues, and executing projects that require deep linguistic expertise and attention to detail. You will operate independently across these workstreams and serve as the team's go-to resource for anything related to your language.
This is an ongoing contractor engagement. Availability during some US Pacific business hours is preferred to allow for team syncs and real-time support.
You will coordinate with the Human Evals Manager on project deliverables and timelines. Some examples of what your day-to-day work may include:
Answer questions from annotators about guidelines, edge cases, or language-specific issues via an agreed project communication channel.
Cascade new feedback, instructions, or rubric updates to annotators working on your projects.
Listen to annotator-rated audio files and check whether their ratings and written feedback align with the rubric.
Prepare written quality assessments for annotators with specific examples and recommendations.
Listen to TTS output and provide ground truth assessments of pronunciation, prosody, and naturalness in your language.
Update or expand sections of the annotation guidelines when you find gaps or edge cases.
Prep and run calibration meetings with annotators.
Hold office hours on a mutually agreed schedule during active studies so annotators can ask questions in real time.
Develop onboarding materials and resources for new annotators.
Write QA reports on annotation quality and calibration outcomes.
Review production audio in your language and flag quality issues to the team.
Investigate language-specific issues reported by customers and identify root causes.
Audit datasets for linguistic accuracy, completeness, and consistency.
Roughly 40 hours per week with flexibility in scheduling. Project hours may vary depending on active studies, data projects, and product needs. Participation in periodic coordination meetings during US Pacific hours is expected.
Native-level proficiency in Hindi as spoken in Hindi.
Experience with data annotation, transcription, or language quality assurance.
Strong foundation in linguistics or a related field, with the ability to apply concepts like phonetics, prosody, and intonation when evaluating speech and writing annotation guidelines.
Strong written English proficiency. All guidelines, feedback, reports, and team communication are in English.
Ability to write clear, structured instructions and deliver specific, actionable feedback to annotators.
Comfortable working with data and metrics such as inter-rater agreement scores, audit spreadsheets, and structured feedback templates.
Self-directed and able to manage feedback cycles, QA reviews, and data projects without close oversight.
Experience writing or maintaining annotation guidelines or rubrics.
Experience training, mentoring, or managing other annotators.
Experience with audio evaluation, TTS, or STT.
Conversational spoken English proficiency for meetings and calibration syncs.
Experience working with distributed, remote teams.
This is a 1099 contract opportunity and will not be eligible for the benefits below. Language Leads work on an ongoing basis, renewable by mutual agreement. You will control your own methods for completing assigned work, supply your own equipment, and are responsible for your own taxes. You must be authorized to work in your country of residence.
Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.
๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.
๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.
๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.
๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.
๐ฐ Compensation Competitive base salary alongside attractive equity package.
๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.
๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave
๐ฆ 401(k)
๐ Commuter Allowance A monthly stipend to help you get to and from the office.
๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.
๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.
๐ฆ Your own personal Yoshi
Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.
","descriptionPlain":"ABOUT CARTESIA\n\nOur mission is to architect AI that learns from and interacts with the world like humans do.\n\nWe're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.\n\nWe're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.\n\n\n\n\nOVERVIEW\n\nWe are seeking native-level Hindi speakers with a linguistics background to serve as the primary language resource for voice AI in their language. You will be the trusted point of contact for all questions, quality decisions, and language-specific work related to Hindi.\n\nThis is not a standard annotation engagement. You will own your language end to end, which includes managing annotation quality, auditing data, monitoring product performance, investigating customer-reported issues, and executing projects that require deep linguistic expertise and attention to detail. You will operate independently across these workstreams and serve as the team's go-to resource for anything related to your language.\n\nThis is an ongoing contractor engagement. Availability during some US Pacific business hours is preferred to allow for team syncs and real-time support.\n\nย \n\n\nABOUT THE ENGAGEMENT\n\nYou will coordinate with the Human Evals Manager on project deliverables and timelines. Some examples of what your day-to-day work may include:\n\n - Answer questions from annotators about guidelines, edge cases, or language-specific issues via an agreed project communication channel.\n\n - Cascade new feedback, instructions, or rubric updates to annotators working on your projects.\n\n - Listen to annotator-rated audio files and check whether their ratings and written feedback align with the rubric.\n\n - Prepare written quality assessments for annotators with specific examples and recommendations.\n\n - Listen to TTS output and provide ground truth assessments of pronunciation, prosody, and naturalness in your language.\n\n - Update or expand sections of the annotation guidelines when you find gaps or edge cases.\n\n - Prep and run calibration meetings with annotators.\n\n - Hold office hours on a mutually agreed schedule during active studies so annotators can ask questions in real time.\n\n - Develop onboarding materials and resources for new annotators.\n\n - Write QA reports on annotation quality and calibration outcomes.\n\n - Review production audio in your language and flag quality issues to the team.\n\n - Investigate language-specific issues reported by customers and identify root causes.\n\n - Audit datasets for linguistic accuracy, completeness, and consistency.\n \n ย \n\n\nCOMMITMENT\n\nRoughly 40 hours per week with flexibility in scheduling. Project hours may vary depending on active studies, data projects, and product needs. Participation in periodic coordination meetings during US Pacific hours is expected.\n\nย \n\n\nREQUIREMENTS\n\n - Native-level proficiency in Hindi as spoken in Hindi.\n\n - Experience with data annotation, transcription, or language quality assurance.\n\n - Strong foundation in linguistics or a related field, with the ability to apply concepts like phonetics, prosody, and intonation when evaluating speech and writing annotation guidelines.\n\n - Strong written English proficiency. All guidelines, feedback, reports, and team communication are in English.\n\n - Ability to write clear, structured instructions and deliver specific, actionable feedback to annotators.\n\n - Comfortable working with data and metrics such as inter-rater agreement scores, audit spreadsheets, and structured feedback templates.\n\n - Self-directed and able to manage feedback cycles, QA reviews, and data projects without close oversight.\n\n\nPREFERRED\n\n - Experience writing or maintaining annotation guidelines or rubrics.\n\n - Experience training, mentoring, or managing other annotators.\n\n - Experience with audio evaluation, TTS, or STT.\n\n - Conversational spoken English proficiency for meetings and calibration syncs.\n\n - Experience working with distributed, remote teams.\n\n\nThis is a 1099 contract opportunity and will not be eligible for the benefits below. Language Leads work on an ongoing basis, renewable by mutual agreement. You will control your own methods for completing assigned work, supply your own equipment, and are responsible for your own taxes. You must be authorized to work in your country of residence.\n\nย \n\nNote: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.\n\n\n\n\nMORE DETAILS\n\n๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.\n\n๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.\n\n๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.\n\n๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.\n\n\n\n\nOUR BENEFITS (US EMPLOYEES ONLY) \n\n๐ฐ Compensation Competitive base salary alongside attractive equity package.\n\n๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.\n\n๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave \n\n๐ฆ 401(k)\n\n๐ Commuter Allowance A monthly stipend to help you get to and from the office.\n\n๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.\n\n๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.\n\n๐ฆ Your own personal Yoshi\n\n\n\n\nOUR COMMITMENT TO EQUAL OPPORTUNITY\n\nCartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.","compensation":{"compensationTierSummary":"$25 โ $35 per hour","scrapeableCompensationSalarySummary":null,"compensationTiers":[{"id":"6d3dd81f-c10a-45bf-8f93-b81d7549a852","tierSummary":"$25 โ $35 per hour","title":null,"additionalInformation":null,"components":[{"id":"dcb8d605-5730-4977-8c75-84001f334d4c","summary":"$25 โ $35 per hour","compensationType":"Salary","interval":"1 HOUR","currencyCode":"USD","minValue":25,"maxValue":35}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 HOUR","currencyCode":"USD","minValue":25,"maxValue":35}]}},{"id":"36e376ab-3a4c-4521-bc31-a9dc6b956599","title":"Language Lead - Japanese (Contract)","department":"Product","team":"Product Operations","employmentType":"Contract","location":"Remote","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-08-04T23:42:12.394+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{}},"jobUrl":"https://jobs.ashbyhq.com/cartesia/36e376ab-3a4c-4521-bc31-a9dc6b956599","applyUrl":"https://jobs.ashbyhq.com/cartesia/36e376ab-3a4c-4521-bc31-a9dc6b956599/application","descriptionHtml":"Our mission is to architect AI that learns from and interacts with the world like humans do.
We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.
We are seeking native-level Japanese speakers with a linguistics background to serve as the primary language resource for voice AI in their language. You will be the trusted point of contact for all questions, quality decisions, and language-specific work related to Japanese.
This is not a standard annotation engagement. You will own your language end to end, which includes managing annotation quality, auditing data, monitoring product performance, investigating customer-reported issues, and executing projects that require deep linguistic expertise and attention to detail. You will operate independently across these workstreams and serve as the team's go-to resource for anything related to your language.
This is an ongoing contractor engagement. Availability during some US Pacific business hours is preferred to allow for team syncs and real-time support.
You will coordinate with the Human Evals Manager on project deliverables and timelines. Some examples of what your day-to-day work may include:
Answer questions from annotators about guidelines, edge cases, or language-specific issues via an agreed project communication channel.
Cascade new feedback, instructions, or rubric updates to annotators working on your projects.
Listen to annotator-rated audio files and check whether their ratings and written feedback align with the rubric.
Prepare written quality assessments for annotators with specific examples and recommendations.
Listen to TTS output and provide ground truth assessments of pronunciation, prosody, and naturalness in your language.
Update or expand sections of the annotation guidelines when you find gaps or edge cases.
Prep and run calibration meetings with annotators.
Hold office hours on a mutually agreed schedule during active studies so annotators can ask questions in real time.
Develop onboarding materials and resources for new annotators.
Write QA reports on annotation quality and calibration outcomes.
Review production audio in your language and flag quality issues to the team.
Investigate language-specific issues reported by customers and identify root causes.
Audit datasets for linguistic accuracy, completeness, and consistency.
Roughly 40 hours per week with flexibility in scheduling. Project hours may vary depending on active studies, data projects, and product needs. Participation in periodic coordination meetings during US Pacific hours is expected.
Native-level proficiency in Japanese as spoken in Japan.
Experience with data annotation, transcription, or language quality assurance.
Strong foundation in linguistics or a related field, with the ability to apply concepts like phonetics, prosody, and intonation when evaluating speech and writing annotation guidelines.
Strong written English proficiency. All guidelines, feedback, reports, and team communication are in English.
Ability to write clear, structured instructions and deliver specific, actionable feedback to annotators.
Comfortable working with data and metrics such as inter-rater agreement scores, audit spreadsheets, and structured feedback templates.
Self-directed and able to manage feedback cycles, QA reviews, and data projects without close oversight.
Experience writing or maintaining annotation guidelines or rubrics.
Experience training, mentoring, or managing other annotators.
Experience with audio evaluation, TTS, or STT.
Conversational spoken English proficiency for meetings and calibration syncs.
Experience working with distributed, remote teams.
This is a 1099 contract opportunity and will not be eligible for the benefits below. Language Leads work on an ongoing basis, renewable by mutual agreement. You will control your own methods for completing assigned work, supply your own equipment, and are responsible for your own taxes. You must be authorized to work in your country of residence.
Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.
๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.
๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.
๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.
๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.
๐ฐ Compensation Competitive base salary alongside attractive equity package.
๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.
๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave
๐ฆ 401(k)
๐ Commuter Allowance A monthly stipend to help you get to and from the office.
๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.
๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.
๐ฆ Your own personal Yoshi
Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.
","descriptionPlain":"ABOUT CARTESIA\n\nOur mission is to architect AI that learns from and interacts with the world like humans do.\n\nWe're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.\n\nWe're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.\n\n\n\n\nOVERVIEW\n\nWe are seeking native-level Japanese speakers with a linguistics background to serve as the primary language resource for voice AI in their language. You will be the trusted point of contact for all questions, quality decisions, and language-specific work related to Japanese.\n\nThis is not a standard annotation engagement. You will own your language end to end, which includes managing annotation quality, auditing data, monitoring product performance, investigating customer-reported issues, and executing projects that require deep linguistic expertise and attention to detail. You will operate independently across these workstreams and serve as the team's go-to resource for anything related to your language.\n\nThis is an ongoing contractor engagement. Availability during some US Pacific business hours is preferred to allow for team syncs and real-time support.\n\nย \n\n\nABOUT THE ENGAGEMENT\n\nYou will coordinate with the Human Evals Manager on project deliverables and timelines. Some examples of what your day-to-day work may include:\n\n - Answer questions from annotators about guidelines, edge cases, or language-specific issues via an agreed project communication channel.\n\n - Cascade new feedback, instructions, or rubric updates to annotators working on your projects.\n\n - Listen to annotator-rated audio files and check whether their ratings and written feedback align with the rubric.\n\n - Prepare written quality assessments for annotators with specific examples and recommendations.\n\n - Listen to TTS output and provide ground truth assessments of pronunciation, prosody, and naturalness in your language.\n\n - Update or expand sections of the annotation guidelines when you find gaps or edge cases.\n\n - Prep and run calibration meetings with annotators.\n\n - Hold office hours on a mutually agreed schedule during active studies so annotators can ask questions in real time.\n\n - Develop onboarding materials and resources for new annotators.\n\n - Write QA reports on annotation quality and calibration outcomes.\n\n - Review production audio in your language and flag quality issues to the team.\n\n - Investigate language-specific issues reported by customers and identify root causes.\n\n - Audit datasets for linguistic accuracy, completeness, and consistency.\n \n ย \n\n\nCOMMITMENT\n\nRoughly 40 hours per week with flexibility in scheduling. Project hours may vary depending on active studies, data projects, and product needs. Participation in periodic coordination meetings during US Pacific hours is expected.\n\nย \n\n\nREQUIREMENTS\n\n - Native-level proficiency in Japanese as spoken in Japan.\n\n - Experience with data annotation, transcription, or language quality assurance.\n\n - Strong foundation in linguistics or a related field, with the ability to apply concepts like phonetics, prosody, and intonation when evaluating speech and writing annotation guidelines.\n\n - Strong written English proficiency. All guidelines, feedback, reports, and team communication are in English.\n\n - Ability to write clear, structured instructions and deliver specific, actionable feedback to annotators.\n\n - Comfortable working with data and metrics such as inter-rater agreement scores, audit spreadsheets, and structured feedback templates.\n\n - Self-directed and able to manage feedback cycles, QA reviews, and data projects without close oversight.\n\n\nPREFERRED\n\n - Experience writing or maintaining annotation guidelines or rubrics.\n\n - Experience training, mentoring, or managing other annotators.\n\n - Experience with audio evaluation, TTS, or STT.\n\n - Conversational spoken English proficiency for meetings and calibration syncs.\n\n - Experience working with distributed, remote teams.\n\n\nThis is a 1099 contract opportunity and will not be eligible for the benefits below. Language Leads work on an ongoing basis, renewable by mutual agreement. You will control your own methods for completing assigned work, supply your own equipment, and are responsible for your own taxes. You must be authorized to work in your country of residence.\n\nย \n\nNote: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.\n\n\n\n\nMORE DETAILS\n\n๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.\n\n๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.\n\n๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.\n\n๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.\n\n\n\n\nOUR BENEFITS (US EMPLOYEES ONLY) \n\n๐ฐ Compensation Competitive base salary alongside attractive equity package.\n\n๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.\n\n๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave \n\n๐ฆ 401(k)\n\n๐ Commuter Allowance A monthly stipend to help you get to and from the office.\n\n๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.\n\n๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.\n\n๐ฆ Your own personal Yoshi\n\n\n\n\nOUR COMMITMENT TO EQUAL OPPORTUNITY\n\nCartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.","compensation":{"compensationTierSummary":"$25 โ $35 per hour","scrapeableCompensationSalarySummary":null,"compensationTiers":[{"id":"8122d62e-9e0c-4399-b051-c09de0823c16","tierSummary":"$25 โ $35 per hour","title":null,"additionalInformation":null,"components":[{"id":"6c5bed71-dbe7-4653-b39e-0f3d7f83e0c8","summary":"$25 โ $35 per hour","compensationType":"Salary","interval":"1 HOUR","currencyCode":"USD","minValue":25,"maxValue":35}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 HOUR","currencyCode":"USD","minValue":25,"maxValue":35}]}},{"id":"ad39cd2f-6dfa-46da-ab8c-c93e7fd800e3","title":"Language Lead - French (Contract)","department":"Product","team":"Product Operations","employmentType":"Contract","location":"Remote","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-08-04T23:41:09.293+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{}},"jobUrl":"https://jobs.ashbyhq.com/cartesia/ad39cd2f-6dfa-46da-ab8c-c93e7fd800e3","applyUrl":"https://jobs.ashbyhq.com/cartesia/ad39cd2f-6dfa-46da-ab8c-c93e7fd800e3/application","descriptionHtml":"Our mission is to architect AI that learns from and interacts with the world like humans do.
We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.
We are seeking native-level French speakers with a linguistics background to serve as the primary language resource for voice AI in their language. You will be the trusted point of contact for all questions, quality decisions, and language-specific work related to French.
This is not a standard annotation engagement. You will own your language end to end, which includes managing annotation quality, auditing data, monitoring product performance, investigating customer-reported issues, and executing projects that require deep linguistic expertise and attention to detail. You will operate independently across these workstreams and serve as the team's go-to resource for anything related to your language.
This is an ongoing contractor engagement. Availability during some US Pacific business hours is preferred to allow for team syncs and real-time support.
You will coordinate with the Human Evals Manager on project deliverables and timelines. Some examples of what your day-to-day work may include:
Answer questions from annotators about guidelines, edge cases, or language-specific issues via an agreed project communication channel.
Cascade new feedback, instructions, or rubric updates to annotators working on your projects.
Listen to annotator-rated audio files and check whether their ratings and written feedback align with the rubric.
Prepare written quality assessments for annotators with specific examples and recommendations.
Listen to TTS output and provide ground truth assessments of pronunciation, prosody, and naturalness in your language.
Update or expand sections of the annotation guidelines when you find gaps or edge cases.
Prep and run calibration meetings with annotators.
Hold office hours on a mutually agreed schedule during active studies so annotators can ask questions in real time.
Develop onboarding materials and resources for new annotators.
Write QA reports on annotation quality and calibration outcomes.
Review production audio in your language and flag quality issues to the team.
Investigate language-specific issues reported by customers and identify root causes.
Audit datasets for linguistic accuracy, completeness, and consistency.
Roughly 40 hours per week with flexibility in scheduling. Project hours may vary depending on active studies, data projects, and product needs. Participation in periodic coordination meetings during US Pacific hours is expected.
Native-level proficiency in French as spoken in France.
Experience with data annotation, transcription, or language quality assurance.
Strong foundation in linguistics or a related field, with the ability to apply concepts like phonetics, prosody, and intonation when evaluating speech and writing annotation guidelines.
Strong written English proficiency. All guidelines, feedback, reports, and team communication are in English.
Ability to write clear, structured instructions and deliver specific, actionable feedback to annotators.
Comfortable working with data and metrics such as inter-rater agreement scores, audit spreadsheets, and structured feedback templates.
Self-directed and able to manage feedback cycles, QA reviews, and data projects without close oversight.
Experience writing or maintaining annotation guidelines or rubrics.
Experience training, mentoring, or managing other annotators.
Experience with audio evaluation, TTS, or STT.
Conversational spoken English proficiency for meetings and calibration syncs.
Experience working with distributed, remote teams.
This is a 1099 contract opportunity and will not be eligible for the benefits below. Language Leads work on an ongoing basis, renewable by mutual agreement. You will control your own methods for completing assigned work, supply your own equipment, and are responsible for your own taxes. You must be authorized to work in your country of residence.
Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.
๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.
๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.
๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.
๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.
๐ฐ Compensation Competitive base salary alongside attractive equity package.
๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.
๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave
๐ฆ 401(k)
๐ Commuter Allowance A monthly stipend to help you get to and from the office.
๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.
๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.
๐ฆ Your own personal Yoshi
Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.
","descriptionPlain":"ABOUT CARTESIA\n\nOur mission is to architect AI that learns from and interacts with the world like humans do.\n\nWe're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.\n\nWe're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.\n\n\n\n\nOVERVIEW\n\nWe are seeking native-level French speakers with a linguistics background to serve as the primary language resource for voice AI in their language. You will be the trusted point of contact for all questions, quality decisions, and language-specific work related to French.\n\nThis is not a standard annotation engagement. You will own your language end to end, which includes managing annotation quality, auditing data, monitoring product performance, investigating customer-reported issues, and executing projects that require deep linguistic expertise and attention to detail. You will operate independently across these workstreams and serve as the team's go-to resource for anything related to your language.\n\nThis is an ongoing contractor engagement. Availability during some US Pacific business hours is preferred to allow for team syncs and real-time support.\n\nย \n\n\nABOUT THE ENGAGEMENT\n\nYou will coordinate with the Human Evals Manager on project deliverables and timelines. Some examples of what your day-to-day work may include:\n\n - Answer questions from annotators about guidelines, edge cases, or language-specific issues via an agreed project communication channel.\n\n - Cascade new feedback, instructions, or rubric updates to annotators working on your projects.\n\n - Listen to annotator-rated audio files and check whether their ratings and written feedback align with the rubric.\n\n - Prepare written quality assessments for annotators with specific examples and recommendations.\n\n - Listen to TTS output and provide ground truth assessments of pronunciation, prosody, and naturalness in your language.\n\n - Update or expand sections of the annotation guidelines when you find gaps or edge cases.\n\n - Prep and run calibration meetings with annotators.\n\n - Hold office hours on a mutually agreed schedule during active studies so annotators can ask questions in real time.\n\n - Develop onboarding materials and resources for new annotators.\n\n - Write QA reports on annotation quality and calibration outcomes.\n\n - Review production audio in your language and flag quality issues to the team.\n\n - Investigate language-specific issues reported by customers and identify root causes.\n\n - Audit datasets for linguistic accuracy, completeness, and consistency.\n \n ย \n\n\nCOMMITMENT\n\nRoughly 40 hours per week with flexibility in scheduling. Project hours may vary depending on active studies, data projects, and product needs. Participation in periodic coordination meetings during US Pacific hours is expected.\n\nย \n\n\nREQUIREMENTS\n\n - Native-level proficiency in French as spoken in France.\n\n - Experience with data annotation, transcription, or language quality assurance.\n\n - Strong foundation in linguistics or a related field, with the ability to apply concepts like phonetics, prosody, and intonation when evaluating speech and writing annotation guidelines.\n\n - Strong written English proficiency. All guidelines, feedback, reports, and team communication are in English.\n\n - Ability to write clear, structured instructions and deliver specific, actionable feedback to annotators.\n\n - Comfortable working with data and metrics such as inter-rater agreement scores, audit spreadsheets, and structured feedback templates.\n\n - Self-directed and able to manage feedback cycles, QA reviews, and data projects without close oversight.\n\n\nPREFERRED\n\n - Experience writing or maintaining annotation guidelines or rubrics.\n\n - Experience training, mentoring, or managing other annotators.\n\n - Experience with audio evaluation, TTS, or STT.\n\n - Conversational spoken English proficiency for meetings and calibration syncs.\n\n - Experience working with distributed, remote teams.\n\n\nThis is a 1099 contract opportunity and will not be eligible for the benefits below. Language Leads work on an ongoing basis, renewable by mutual agreement. You will control your own methods for completing assigned work, supply your own equipment, and are responsible for your own taxes. You must be authorized to work in your country of residence.\n\nย \n\nNote: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.\n\n\n\n\nMORE DETAILS\n\n๐ข In-office policy: Weโre an in-person team based out of offices in ๐บ๐ธ San Francisco, ๐ฌ๐ง London and ๐ฎ๐ณ Bangalore. We love being in the office, hanging out together, and learning from each other every day.\n\n๐ Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.\n\n๐ข We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we donโt sacrifice quality or design along the way.\n\n๐ค We support each other. We have an open & inclusive culture thatโs focused on giving everyone the resources they need to succeed.\n\n\n\n\nOUR BENEFITS (US EMPLOYEES ONLY) \n\n๐ฐ Compensation Competitive base salary alongside attractive equity package.\n\n๐ฉบ Health Insurance Fully covered medical insurance along with dental and vision for you and your family.\n\n๐งโ๐งโ๐งโ๐ง Parental Leave 9 weeks paternity & 12 weeks maternity leave \n\n๐ฆ 401(k)\n\n๐ Commuter Allowance A monthly stipend to help you get to and from the office.\n\n๐๏ธ Flexible PTO Take as much time as you need to recharge your batteries.\n\n๐ฒ Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.\n\n๐ฆ Your own personal Yoshi\n\n\n\n\nOUR COMMITMENT TO EQUAL OPPORTUNITY\n\nCartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.","compensation":{"compensationTierSummary":"$25 โ $35 per hour","scrapeableCompensationSalarySummary":null,"compensationTiers":[{"id":"6aecd523-6a60-45f3-9e86-1b468c2f6d75","tierSummary":"$25 โ $35 per hour","title":null,"additionalInformation":null,"components":[{"id":"74ef4280-6728-4f91-b03f-33b741bce5f2","summary":"$25 โ $35 per hour","compensationType":"Salary","interval":"1 HOUR","currencyCode":"USD","minValue":25,"maxValue":35}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 HOUR","currencyCode":"USD","minValue":25,"maxValue":35}]}}],"apiVersion":"1"}