About Evertune:
Evertune is building the first AI discovery platform for modern marketers. As large language models (LLMs) become the go-to source for recommendations – we help brands understand exactly what AI is saying about them, where they stand against competitors, and how to show up more often in AI-powered answers. Our platform turns black-box AI behavior into actionable insights, so marketing teams can make faster, smarter decisions that drive growth.
Founded by leaders who helped scale The Trade Desk into the world’s leading ad tech platform, we bring deep expertise in digital advertising, data, and high-growth environments. Now, we’re pioneering a new category at the intersection of AI, SEO, and brand strategy.
We raised a $15M Series A led by Felicis Ventures, with support from Eniac, NextView, Roger Ehrenberg, and leaders from OpenAI, Google, Meta, Uber, and more. This gives us the momentum to move faster and build the first enterprise-grade AI marketing suite.
Backed by top-tier VC investors and trusted by forward-thinking brands, we have the resources to scale – but what really defines us is our culture. We move fast, think boldly, and believe the best ideas win regardless of title. If you're excited about shaping the future of how brands grow in the age of AI, you’ll thrive here.
Your Team:
You’ll be joining a high-growth sales team at a pivotal stage of Evertune’s growth. Our go-to-market org is built around ownership, urgency, and a deep respect for the craft of SaaS sales. Every seller on the team is expected to understand the product, the market, and the buyer – and to take responsibility for building and closing pipeline.
This is a founder-led selling environment where hustle and curiosity matter. We’re looking for people who want to spend their days prospecting, running demos, following up, and sharpening how they sell. Outbound is a core part of how we grow, and you’ll be expected to actively build your own funnel, but you’ll also work inbound opportunities. The expectation is simple: you create momentum and you keep it moving.
You’ll report to a Senior Director of Business Development and work closely with executives, marketing, client services, and product as we continue to refine our motion. Because the company is early stage, you’ll have real exposure to how decisions get made and how a modern SaaS sales engine is built from the inside.
Evertune operates at the center of a rapidly evolving space – AI search – and the sales team plays a critical role in translating a cutting-edge product into real customer value. This is a role for someone who wants to grow quickly, be held to a high bar, and help shape how a category-defining product is sold.
Your Role:
We're hiring an Account Executive to drive new business at Evertune. This is a full-cycle sales role focused on prospecting, running demos, and closing new customers across brands and agencies. You'll spend the majority of your time on outbound prospecting, while also owning inbound leads.
This role is built for someone who wants to sell. You'll actively build and manage your own funnel, run high-volume outreach, qualify opportunities, and move deals through a 2-3 month sales cycle with global enterprise clients. Success in this role comes from consistency, follow-through, and a willingness to do the work every day.
You'll own early and mid-stage conversations, run discovery calls and product demos, and tailor messaging to different buyer types. You'll develop a strong point of view on how Evertune fits into a fast-changing AI search landscape and clearly articulate value to modern marketing teams. While deep AI or SEO expertise isn't required on day one, you'll ramp quickly, learn the product deeply, and speak confidently about how it solves customer problems.
You'll move opportunities forward with urgency and discipline, maintain clean pipeline hygiene, and follow up relentlessly. You'll be trusted with real responsibility early and expected to manage your time, activity, and deals.
This role is ideal for someone with at least one year of sales experience following time as an SDR or BDR who understands full-cycle SaaS sales. If you're motivated by building pipeline, running demos, and selling a product that's helping define how brands compete in the era of AI search, this is the place to do it.
Responsibilities:
Own a full-cycle SaaS sales motion from prospecting through close across brands and agencies
Generate pipeline through high-volume outbound prospecting, including account research, personalized outreach, and consistent follow-up
Manage and convert inbound leads alongside outbound efforts, qualifying opportunities and moving them quickly into active sales cycles
Run discovery calls and product demos that clearly connect Evertune’s platform to customer pain points and business outcomes
Navigate multi-month sales cycles (2-3 months on average), maintaining momentum and clear next steps throughout the process
Develop a strong understanding of Evertune’s product, customers, and market in order to confidently sell into a new, evolving category
Maintain accurate pipeline management, forecasting, and CRM hygiene
Collaborate with marketing, product, and customer success to share market feedback and improve messaging, positioning, and sales execution
Represent Evertune with professionalism, urgency, and conviction in every customer interaction
Requirements:
At least 2 years of B2B SaaS sales experience, including 1+ year as an Account Executive following SDR or BDR experience
Experience owning a full sales cycle, from prospecting and discovery through demo, negotiation, and close
Comfort running frequent product demos and sales calls with marketing, growth, or digital leaders
Proven ability to build pipeline through outbound activity, not just work warm leads
Strong communication skills and the ability to clearly articulate the value of a technical product to non-technical buyers
Interest in selling a product in a new or emerging category, with curiosity and willingness to learn quickly
Comfortable working in a fast-paced startup environment with high expectations and a bias toward action
Strong organizational skills and attention to detail, especially around pipeline management and follow-through
Based in the NYC area and available to work in-office 3x per week at our Flatiron location
Experience selling to enterprise brands and marketing teams
Proficiency in Hubspot or comparable CRMs
Background in adtech, martech, SEO tools, or content strategy
Familiarity with LLMs or AI search trends
Culture & Values
At Evertune, we’re building more than just groundbreaking AI products—we're building a culture where speed, insight and humanity go hand in hand. Here’s what we value:
Curiosity: We start with questions, not assumptions, and follow the signal wherever it leads.
Velocity: We move fast, iterate quickly and prefer learning through doing.
Empathy: We’re ambitious, but never at the expense of being respectful, inclusive and grounded.
Openness: We welcome different perspectives and challenge each other’s ideas
Ownership: We trust people to own decisions and outcomes.
Compensation & Benefits:
Our salary ranges are based on paying competitively for our size and industry. Salary is just one part of our total compensation package that includes equity, perks & benefits, and development opportunities at Evertune AI. Individual pay decisions are based on several factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity relative to other Evertune AI employees. It is our expectation that the majority of candidates who are offered roles at Evertune AI will land well within our salary ranges based on these factors.
The expected annual base salary for this role is between $90,000 – $150,000. The position includes a variable incentive plan with a target commission opportunity structured at a 50/50 split (base + target commission), tied to individual and company performance. Stock options are also included as part of the total compensation package and will be commensurate with the candidate’s experience and impact.
This is an exempt position.
Benefits include top-tier Medical/Dental/Vision Coverage, HSA/FSA, Generous Paid Time Off, commuter benefits.
Evertune does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of Evertune. Evertune is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
","descriptionPlain":"About Evertune:\nEvertune is building the first AI discovery platform for modern marketers. As large language models (LLMs) become the go-to source for recommendations – we help brands understand exactly what AI is saying about them, where they stand against competitors, and how to show up more often in AI-powered answers. Our platform turns black-box AI behavior into actionable insights, so marketing teams can make faster, smarter decisions that drive growth.\n\nFounded by leaders who helped scale The Trade Desk into the world’s leading ad tech platform, we bring deep expertise in digital advertising, data, and high-growth environments. Now, we’re pioneering a new category at the intersection of AI, SEO, and brand strategy.\n\nWe raised a $15M Series A led by Felicis Ventures, with support from Eniac, NextView, Roger Ehrenberg, and leaders from OpenAI, Google, Meta, Uber, and more. This gives us the momentum to move faster and build the first enterprise-grade AI marketing suite.\n\nBacked by top-tier VC investors and trusted by forward-thinking brands, we have the resources to scale – but what really defines us is our culture. We move fast, think boldly, and believe the best ideas win regardless of title. If you're excited about shaping the future of how brands grow in the age of AI, you’ll thrive here.\n\nYour Team:\nYou’ll be joining a high-growth sales team at a pivotal stage of Evertune’s growth. Our go-to-market org is built around ownership, urgency, and a deep respect for the craft of SaaS sales. Every seller on the team is expected to understand the product, the market, and the buyer – and to take responsibility for building and closing pipeline.\n\nThis is a founder-led selling environment where hustle and curiosity matter. We’re looking for people who want to spend their days prospecting, running demos, following up, and sharpening how they sell. Outbound is a core part of how we grow, and you’ll be expected to actively build your own funnel, but you’ll also work inbound opportunities. The expectation is simple: you create momentum and you keep it moving.\n\nYou’ll report to a Senior Director of Business Development and work closely with executives, marketing, client services, and product as we continue to refine our motion. Because the company is early stage, you’ll have real exposure to how decisions get made and how a modern SaaS sales engine is built from the inside.\n\nEvertune operates at the center of a rapidly evolving space – AI search – and the sales team plays a critical role in translating a cutting-edge product into real customer value. This is a role for someone who wants to grow quickly, be held to a high bar, and help shape how a category-defining product is sold.\n\nYour Role:\nWe're hiring an Account Executive to drive new business at Evertune. This is a full-cycle sales role focused on prospecting, running demos, and closing new customers across brands and agencies. You'll spend the majority of your time on outbound prospecting, while also owning inbound leads.\n\nThis role is built for someone who wants to sell. You'll actively build and manage your own funnel, run high-volume outreach, qualify opportunities, and move deals through a 2-3 month sales cycle with global enterprise clients. Success in this role comes from consistency, follow-through, and a willingness to do the work every day.\n\nYou'll own early and mid-stage conversations, run discovery calls and product demos, and tailor messaging to different buyer types. You'll develop a strong point of view on how Evertune fits into a fast-changing AI search landscape and clearly articulate value to modern marketing teams. While deep AI or SEO expertise isn't required on day one, you'll ramp quickly, learn the product deeply, and speak confidently about how it solves customer problems.\n\nYou'll move opportunities forward with urgency and discipline, maintain clean pipeline hygiene, and follow up relentlessly. You'll be trusted with real responsibility early and expected to manage your time, activity, and deals.\n\nThis role is ideal for someone with at least one year of sales experience following time as an SDR or BDR who understands full-cycle SaaS sales. If you're motivated by building pipeline, running demos, and selling a product that's helping define how brands compete in the era of AI search, this is the place to do it.\n\nResponsibilities:\n\n - Own a full-cycle SaaS sales motion from prospecting through close across brands and agencies\n\n - Generate pipeline through high-volume outbound prospecting, including account research, personalized outreach, and consistent follow-up\n\n - Manage and convert inbound leads alongside outbound efforts, qualifying opportunities and moving them quickly into active sales cycles\n\n - Run discovery calls and product demos that clearly connect Evertune’s platform to customer pain points and business outcomes\n\n - Navigate multi-month sales cycles (2-3 months on average), maintaining momentum and clear next steps throughout the process\n\n - Develop a strong understanding of Evertune’s product, customers, and market in order to confidently sell into a new, evolving category\n\n - Maintain accurate pipeline management, forecasting, and CRM hygiene\n\n - Collaborate with marketing, product, and customer success to share market feedback and improve messaging, positioning, and sales execution\n\n - Represent Evertune with professionalism, urgency, and conviction in every customer interaction\n\nRequirements:\n\n - At least 2 years of B2B SaaS sales experience, including 1+ year as an Account Executive following SDR or BDR experience\n\n - Experience owning a full sales cycle, from prospecting and discovery through demo, negotiation, and close\n\n - Comfort running frequent product demos and sales calls with marketing, growth, or digital leaders\n\n - Proven ability to build pipeline through outbound activity, not just work warm leads\n\n - Strong communication skills and the ability to clearly articulate the value of a technical product to non-technical buyers\n\n - Interest in selling a product in a new or emerging category, with curiosity and willingness to learn quickly\n\n - Comfortable working in a fast-paced startup environment with high expectations and a bias toward action\n\n - Strong organizational skills and attention to detail, especially around pipeline management and follow-through\n\n - Based in the NYC area and available to work in-office 3x per week at our Flatiron location\n\n\nNICE-TO-HAVES\n\n - Experience selling to enterprise brands and marketing teams\n\n - Proficiency in Hubspot or comparable CRMs\n\n - Background in adtech, martech, SEO tools, or content strategy\n\n - Familiarity with LLMs or AI search trends\n\nCulture & Values\n\nAt Evertune, we’re building more than just groundbreaking AI products—we're building a culture where speed, insight and humanity go hand in hand. Here’s what we value:\n\n - Curiosity: We start with questions, not assumptions, and follow the signal wherever it leads.\n\n - Velocity: We move fast, iterate quickly and prefer learning through doing.\n\n - Empathy: We’re ambitious, but never at the expense of being respectful, inclusive and grounded.\n\n - Openness: We welcome different perspectives and challenge each other’s ideas\n\n - Ownership: We trust people to own decisions and outcomes.\n\n\nCompensation & Benefits:\nOur salary ranges are based on paying competitively for our size and industry. Salary is just one part of our total compensation package that includes equity, perks & benefits, and development opportunities at Evertune AI. Individual pay decisions are based on several factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity relative to other Evertune AI employees. It is our expectation that the majority of candidates who are offered roles at Evertune AI will land well within our salary ranges based on these factors.\n\nThe expected annual base salary for this role is between $90,000 – $150,000. The position includes a variable incentive plan with a target commission opportunity structured at a 50/50 split (base + target commission), tied to individual and company performance. Stock options are also included as part of the total compensation package and will be commensurate with the candidate’s experience and impact.\n\nThis is an exempt position.\n\nBenefits include top-tier Medical/Dental/Vision Coverage, HSA/FSA, Generous Paid Time Off, commuter benefits.\n\nEvertune does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of Evertune. Evertune is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.","compensation":{"compensationTierSummary":"$90K – $150K • Offers Equity • $90K – $150K Commission","scrapeableCompensationSalarySummary":"$90K - $150K","compensationTiers":[{"id":"ce47c2a5-3318-4928-9bac-98f7bdb7b1d0","tierSummary":"The position includes a variable incentive plan with a target commission opportunity structured at a 50/50 split (base + target commission), tied to individual and company performance. $90K – $150K • Offers Equity • $90K – $150K Commission","title":null,"additionalInformation":null,"components":[{"id":"6aae04f5-8055-4809-bcb5-4998fcfc5c24","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"12eb711e-aa67-49cc-98c2-77ca5fc703a9","summary":"The position includes a variable incentive plan with a target commission opportunity structured at a 50/50 split (base + target commission), tied to individual and company performance. $90K – $150K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":90000,"maxValue":150000},{"id":"a10f5b50-4b01-4be2-a2dd-c324d0780b1c","summary":"$90K – $150K Commission","compensationType":"Commission","interval":"1 YEAR","currencyCode":"USD","minValue":90000,"maxValue":150000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":90000,"maxValue":150000},{"compensationType":"Commission","interval":"1 YEAR","currencyCode":"USD","minValue":90000,"maxValue":150000}]}},{"id":"c46e5b7b-e947-4df2-8944-ae3d4c40f32c","title":"Senior Software Engineer, Back End & Infrastructure ","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"New York, NY, Denver, CO, or Seattle, WA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-02-26T03:10:37.407+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/evertune/c46e5b7b-e947-4df2-8944-ae3d4c40f32c","applyUrl":"https://jobs.ashbyhq.com/evertune/c46e5b7b-e947-4df2-8944-ae3d4c40f32c/application","descriptionHtml":"PLEASE NOTE: At this time, we are only able to consider candidates who are authorized to work in the United States without the need for current or future visa sponsorship. This includes U.S. citizens and Green Card holders.
About Evertune AI:
Evertune is building the first AI discovery platform for modern marketers. As large language models (LLMs) become the go-to source for recommendations – we help brands understand exactly what AI is saying about them, where they stand against competitors, and how to show up more often in AI-powered answers. Our platform turns black-box AI behavior into actionable insights, so marketing teams can make faster, smarter decisions that drive growth.
Founded by leaders who helped scale The Trade Desk into the world’s leading ad tech platform, we bring deep expertise in digital advertising, data, and high-growth environments. Now, we’re pioneering a new category at the intersection of AI, SEO, and brand strategy.
We raised a $15M Series A led by Felicis Ventures, with support from Eniac, NextView, Roger Ehrenberg, and leaders from OpenAI, Google, Meta, Uber, and more. This gives us the momentum to move faster and build the first enterprise-grade AI marketing suite.
Backed by top-tier VC investors and trusted by forward-thinking brands, we have the resources to scale – but what really defines us is our culture. We move fast, think boldly, and believe the best ideas win regardless of title. If you're excited about shaping the future of how brands grow in the age of AI, you’ll thrive here.
Your Team:
You’ll be joining Evertune’s software engineering team– a tight-knit, high-velocity group, with most of us based in Seattle, Denver, and New York. While we span time zones, we operate with tight alignment and shared urgency. Our engineers optimize for high velocity: we ship fast, sweat the details, and genuinely enjoy building together.
As a foundational hire, you'll be helping to shape not just how we code – but how we grow, communicate, and scale.
This is a hybrid role based in the New York City, Seattle, or Denver/Boulder area. We have offices in NYC and Seattle, with a permanent Denver/Boulder office in development.
Your Role:
You’ll take and share deep technical ownership of the backend systems that power our AI Discovery platform, working at the bleeding edge of evaluating and applying LLMs to real-world problems. This includes designing distributed systems, shaping our cloud and infrastructure patterns, optimizing AI integrations, and making architectural decisions that help us scale quickly and reliably.
You are a software engineer first – someone who understands how to build software systems with strong engineering discipline – but you’re also excited to operate at the infrastructure layer. You understand how a strong and stable infrastructure benefits the entire organization. You can reason about cloud environments, permissions, deployment systems, and performance bottlenecks, and you know how to simplify high-ambiguity systems into clean, reliable abstractions.
Responsibilities
Architect, build, and maintain scalable backend services in Python and Go
Design resilient APIs, optimize data pipelines, and improve system performance and reliability
Own and evolve parts of our cloud infrastructure, including environment configuration and access patterns
Implement and manage infrastructure as code (Terraform or equivalent)
Design and maintain containerized services using Docker and modern deployment workflows
Integrate and test data from third-party APIs, including LLM providers like OpenAI and Anthropic
Manage performance, cost, and observability across AI integrations and backend systems
Debug and troubleshoot issues across application and infrastructure layers
Simplify and scale complex systems to support product growth and increasing data volume
Influence long-term technical direction and backend architecture
Mentor junior engineers through code reviews and coaching
Collaborate across the stack to ship product features quickly and reliably
Requirements
7+ years building and owning resilient, high-performance backend systems for user-facing or B2B products
Strong software engineering discipline - you design testable systems, write meaningful automated tests, and protect against regressions as systems evolve
Deep proficiency in Python (or similar) and a track record of designing distributed systems
Operated production workloads in cloud environments (GCP, AWS, Azure, or similar), including IAM, service accounts, access controls, and environment isolation
Improved the performance and reliability of ambiguous or legacy systems by simplifying architecture and reducing operational risk
Built and maintained infrastructure as code using Terraform or equivalent
Designed and deployed containerized services using Docker and modern CI/CD workflows
Designed scalable data models and worked deeply with databases such as MongoDB or similar
Integrated and operated third-party APIs at scale with attention to performance, cost, and failure handling
Worked with observability tooling to monitor, debug, and improve production systems
Strong communication skills and the ability to influence technical direction
Actively leverage LLMs or AI tooling to improve engineering workflows
Must be able to work in our Seattle , Denver, or NYC office 2-3 days per week
Nice to Have
Experience operating systems across multiple cloud providers
Has built or supported generative AI, LLM, or ML-powered systems
Experience designing event-driven systems using queues or streaming infrastructure
Previous or current experience in startup or high-growth environments
Proficiency in utilizing agentic coding tools (e.g., Claude Code).
Our Tech Stack: Python, FastAPI, MongoDB, REST APIs, Google Cloud (GCP), GitHub, Integrations with OpenAI, Google Gemini, Anthropic’s Claude, LLama, DeepSeek, + other LLM APIs, Vue.js, Javascript.
Culture & Values:
At Evertune, we’re building more than just groundbreaking AI products—we're building a culture where speed, insight and humanity go hand in hand. Here’s what we value:
Curiosity: We start with questions, not assumptions, and follow the signal wherever it leads.
Velocity: We move fast, iterate quickly and prefer learning through doing.
Empathy: We’re ambitious, but never at the expense of being respectful, inclusive and grounded.
Openness: We welcome different perspectives and challenge each other’s ideas
Ownership: We trust people to own decisions and outcomes.
Compensation Philosophy & Benefits:
Our salary ranges are based on paying competitively for our size and industry. Salary is just one part of our total compensation package that includes equity, perks & benefits, and development opportunities at Evertune AI. Individual pay decisions are based on several factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity relative to other Evertune AI employees. It is our expectation that the majority of candidates who are offered roles at Evertune AI will land well within our salary ranges based on these factors.
The annual base salary range for this position is: $120,000 - $300,000 + stock options.
Benefits include: Competitive Equity, Medical/Dental/Vision Coverage, Generous Paid Time Off, Commuter Benefits, etc.
Evertune does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of Evertune. Evertune is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
","descriptionPlain":"PLEASE NOTE: At this time, we are only able to consider candidates who are authorized to work in the United States without the need for current or future visa sponsorship. This includes U.S. citizens and Green Card holders.\n\n\nAbout Evertune AI:\nEvertune is building the first AI discovery platform for modern marketers. As large language models (LLMs) become the go-to source for recommendations – we help brands understand exactly what AI is saying about them, where they stand against competitors, and how to show up more often in AI-powered answers. Our platform turns black-box AI behavior into actionable insights, so marketing teams can make faster, smarter decisions that drive growth.\n\nFounded by leaders who helped scale The Trade Desk into the world’s leading ad tech platform, we bring deep expertise in digital advertising, data, and high-growth environments. Now, we’re pioneering a new category at the intersection of AI, SEO, and brand strategy.\n\nWe raised a $15M Series A led by Felicis Ventures, with support from Eniac, NextView, Roger Ehrenberg, and leaders from OpenAI, Google, Meta, Uber, and more. This gives us the momentum to move faster and build the first enterprise-grade AI marketing suite.\n\nBacked by top-tier VC investors and trusted by forward-thinking brands, we have the resources to scale – but what really defines us is our culture. We move fast, think boldly, and believe the best ideas win regardless of title. If you're excited about shaping the future of how brands grow in the age of AI, you’ll thrive here.\n\n\nYour Team:\nYou’ll be joining Evertune’s software engineering team– a tight-knit, high-velocity group, with most of us based in Seattle, Denver, and New York. While we span time zones, we operate with tight alignment and shared urgency. Our engineers optimize for high velocity: we ship fast, sweat the details, and genuinely enjoy building together.\n\nAs a foundational hire, you'll be helping to shape not just how we code – but how we grow, communicate, and scale.\n\nThis is a hybrid role based in the New York City, Seattle, or Denver/Boulder area. We have offices in NYC and Seattle, with a permanent Denver/Boulder office in development.\n\n\nYour Role:\nYou’ll take and share deep technical ownership of the backend systems that power our AI Discovery platform, working at the bleeding edge of evaluating and applying LLMs to real-world problems. This includes designing distributed systems, shaping our cloud and infrastructure patterns, optimizing AI integrations, and making architectural decisions that help us scale quickly and reliably.\n\nYou are a software engineer first – someone who understands how to build software systems with strong engineering discipline – but you’re also excited to operate at the infrastructure layer. You understand how a strong and stable infrastructure benefits the entire organization. You can reason about cloud environments, permissions, deployment systems, and performance bottlenecks, and you know how to simplify high-ambiguity systems into clean, reliable abstractions.\n\n\nResponsibilities\n\n - Architect, build, and maintain scalable backend services in Python and Go\n\n - Design resilient APIs, optimize data pipelines, and improve system performance and reliability\n\n - Own and evolve parts of our cloud infrastructure, including environment configuration and access patterns\n\n - Implement and manage infrastructure as code (Terraform or equivalent)\n\n - Design and maintain containerized services using Docker and modern deployment workflows\n\n - Integrate and test data from third-party APIs, including LLM providers like OpenAI and Anthropic\n\n - Manage performance, cost, and observability across AI integrations and backend systems\n\n - Debug and troubleshoot issues across application and infrastructure layers\n\n - Simplify and scale complex systems to support product growth and increasing data volume\n\n - Influence long-term technical direction and backend architecture\n\n - Mentor junior engineers through code reviews and coaching\n\n - Collaborate across the stack to ship product features quickly and reliably\n \n\nRequirements\n\n - 7+ years building and owning resilient, high-performance backend systems for user-facing or B2B products\n\n - Strong software engineering discipline - you design testable systems, write meaningful automated tests, and protect against regressions as systems evolve\n\n - Deep proficiency in Python (or similar) and a track record of designing distributed systems\n\n - Operated production workloads in cloud environments (GCP, AWS, Azure, or similar), including IAM, service accounts, access controls, and environment isolation\n\n - Improved the performance and reliability of ambiguous or legacy systems by simplifying architecture and reducing operational risk\n\n - Built and maintained infrastructure as code using Terraform or equivalent\n\n - Designed and deployed containerized services using Docker and modern CI/CD workflows\n\n - Designed scalable data models and worked deeply with databases such as MongoDB or similar\n\n - Integrated and operated third-party APIs at scale with attention to performance, cost, and failure handling\n\n - Worked with observability tooling to monitor, debug, and improve production systems\n\n - Strong communication skills and the ability to influence technical direction\n\n - Actively leverage LLMs or AI tooling to improve engineering workflows\n\n - Must be able to work in our Seattle , Denver, or NYC office 2-3 days per week \n\nNice to Have\n\n - Experience operating systems across multiple cloud providers\n\n - Has built or supported generative AI, LLM, or ML-powered systems\n\n - Experience designing event-driven systems using queues or streaming infrastructure\n\n - Previous or current experience in startup or high-growth environments\n\n - Proficiency in utilizing agentic coding tools (e.g., Claude Code).\n\nOur Tech Stack: Python, FastAPI, MongoDB, REST APIs, Google Cloud (GCP), GitHub, Integrations with OpenAI, Google Gemini, Anthropic’s Claude, LLama, DeepSeek, + other LLM APIs, Vue.js, Javascript.\n\n\nCulture & Values:\nAt Evertune, we’re building more than just groundbreaking AI products—we're building a culture where speed, insight and humanity go hand in hand. Here’s what we value:\n\n - Curiosity: We start with questions, not assumptions, and follow the signal wherever it leads.\n\n - Velocity: We move fast, iterate quickly and prefer learning through doing.\n\n - Empathy: We’re ambitious, but never at the expense of being respectful, inclusive and grounded.\n\n - Openness: We welcome different perspectives and challenge each other’s ideas\n\n - Ownership: We trust people to own decisions and outcomes.\n \n\nCompensation Philosophy & Benefits:\n\nOur salary ranges are based on paying competitively for our size and industry. Salary is just one part of our total compensation package that includes equity, perks & benefits, and development opportunities at Evertune AI. Individual pay decisions are based on several factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity relative to other Evertune AI employees. It is our expectation that the majority of candidates who are offered roles at Evertune AI will land well within our salary ranges based on these factors.\n\nThe annual base salary range for this position is: $120,000 - $300,000 + stock options.\n\nBenefits include: Competitive Equity, Medical/Dental/Vision Coverage, Generous Paid Time Off, Commuter Benefits, etc.\n\nEvertune does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of Evertune. Evertune is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.","compensation":{"compensationTierSummary":"$120K – $300K • Offers Equity","scrapeableCompensationSalarySummary":"$120K - $300K","compensationTiers":[{"id":"a0af759d-41e2-4674-ba47-95fbde5b76ec","tierSummary":"$120K – $300K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"6b19ccfc-aa78-487f-8edf-4bea913246ca","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"04d128ec-cd9d-4c14-82db-0d00d0973f8c","summary":"$120K – $300K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":120000,"maxValue":300000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":120000,"maxValue":300000}]}},{"id":"48a46930-4a62-4e78-920e-bad5313d7096","title":"Senior Software Engineer, Full Stack","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"New York, NY, Denver, CO, or Seattle, WA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-04-16T18:12:44.975+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/evertune/48a46930-4a62-4e78-920e-bad5313d7096","applyUrl":"https://jobs.ashbyhq.com/evertune/48a46930-4a62-4e78-920e-bad5313d7096/application","descriptionHtml":"PLEASE NOTE: At this time, we are only able to consider candidates who are authorized to work in the United States without the need for current or future visa sponsorship. This includes U.S. citizens and Green Card holders.
Evertune is building the first AI discovery platform for modern marketers. As large language models (LLMs) become the go-to source for recommendations – we help brands understand exactly what AI is saying about them, where they stand against competitors, and how to show up more often in AI-powered answers. Our platform turns black-box AI behavior into actionable insights, so marketing teams can make faster, smarter decisions that drive growth.
Founded by leaders who helped scale The Trade Desk into the world’s leading ad tech platform, we bring deep expertise in digital advertising, data, and high-growth environments. Now, we’re pioneering a new category at the intersection of AI, SEO, and brand strategy.
We raised a $15M Series A led by Felicis Ventures, with support from Eniac, NextView, Roger Ehrenberg, and leaders from OpenAI, Google, Meta, Uber, and more. This gives us the momentum to move faster and build the first enterprise-grade AI marketing suite.
Backed by top-tier VC investors and trusted by forward-thinking brands, we have the resources to scale – but what really defines us is our culture. We move fast, think boldly, and believe the best ideas win regardless of title. If you're excited about shaping the future of how brands grow in the age of AI, you’ll thrive here.
You’ll join Evertune’s engineering team at a pivotal moment in the company’s growth. We’re a tight-knit, ambitious group building quickly at the frontier of AI and search, with teammates primarily based in New York, Denver, and Seattle. We care deeply about craft, but we know great products are built through iteration – we value momentum, clear thinking, and people who turn ambiguity into product.
As an early member of the team, you’ll have a meaningful influence on what we build, how we build it, and how the engineering organization evolves as we scale.
This is a hybrid role based in the New York City, Seattle, or Denver/Boulder area. We have offices in NYC and Seattle, with a permanent Denver/Boulder office in development.
As a Senior Full Stack Engineer at Evertune, you’ll build across the core product experience – from user-facing workflows to the backend systems and APIs that power them. We’re looking for a strong generalist who can move fluidly between frontend and backend, make smart tradeoffs, and ship thoughtful, high-impact product work in a fast-moving environment.
You’ll contribute directly to core product development and partner closely with product, design, and engineering to turn complex ideas into software that feels intuitive, useful, and differentiated. This role is ideal for an engineer who likes owning problems end to end, thrives in ambiguity, and is excited to help define what great AI-native product development looks like.
You should be excited by AI-native product experiences, energized by ambiguity, and already heavily using AI tools and LLMs in your own workflow to operate with greater leverage.
Own and develop key areas of Evertune’s product experience across frontend, backend, and APIs
Build and ship end-to-end product features across the stack, from user-facing experiences to backend services and integrations
Design, develop, and ship thoughtful, high-quality product experiences for cutting-edge AI products
Build and evolve backend services and application logic that power core product workflows
Collaborate closely with product, design, and engineering to turn complex ideas into clear, impactful user experiences
Help create cohesion across multiple product areas into a unified, intuitive product experience
Contribute to frontend architecture, backend design, and code standards across the stack
Partner with engineering teammates to design clean APIs and ensure seamless integration across systems
Debug and improve performance, reliability, responsiveness, and overall product quality
Contribute to a team culture that values speed, craft, ownership, and candor
Must currently be located in the NYC, Seattle, or Denver area and able to work in-office 2-3x/week
7+ years experience building and shipping production software as a full stack engineer
Strong experience working across modern frontend systems and backend services
Deep expertise with modern JavaScript frameworks
Experience building backend services and working with Python-based systems or similar
Strong product instinct and a track record of building thoughtful, user-facing software
Strong API design and integration skills
Comfort with cloud platforms (preferably GCP), CI/CD workflows, and performance monitoring
Forward-thinking about how AI is changing product development - whether that’s incorporating LLMs into workflows, building AI-native products, or using AI tools to move faster and improve quality
Must be AI-forward and actively using AI tools / LLMs to increase leverage and engineering efficiency
Excellent communication and collaboration skills, especially in cross-functional settings with design, product, and business stakeholders
Strong technical judgment and the ability to operate effectively in a fast-moving startup environment
Nice to Have
Familiarity with MongoDB or other NoSQL databases
Experience building analytics products, data-heavy applications, or complex B2B workflows
Experience building polished, intuitive user-facing product experiences
Early-stage startup or founding engineer experience
Exposure to the AI / LLM ecosystem or interest in large-scale model behavior
Contributions to open-source projects or developer communities
At Evertune, we’re building more than just groundbreaking AI products – we're building a culture where speed, insight and humanity go hand in hand. Here’s what we value:
Curiosity: We start with questions, not assumptions, and follow the signal wherever it leads.
Velocity: We move fast, iterate quickly and prefer learning through doing.
Empathy: We’re ambitious, but never at the expense of being respectful, inclusive and grounded.
Openness: We welcome different perspectives and challenge each other’s ideas
Ownership: We trust people to own decisions and outcomes.
Our salary ranges are based on paying competitively for our size and industry. Salary is just one part of our total compensation package that includes equity, perks & benefits, and development opportunities at Evertune AI. Individual pay decisions are based on several factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity relative to other Evertune AI employees. It is our expectation that the majority of candidates who are offered roles at Evertune AI will land well within our salary ranges based on these factors.
The annual base salary range for this position is: $120,000 - $300,000 + stock options.
Benefits include: Competitive Equity, Medical/Dental/Vision Coverage, Generous Paid Time Off, Commuter Benefits, etc.
Evertune does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of Evertune. Evertune is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
","descriptionPlain":"PLEASE NOTE: At this time, we are only able to consider candidates who are authorized to work in the United States without the need for current or future visa sponsorship. This includes U.S. citizens and Green Card holders.\n\n\n\nABOUT EVERTUNE AI\n\nEvertune is building the first AI discovery platform for modern marketers. As large language models (LLMs) become the go-to source for recommendations – we help brands understand exactly what AI is saying about them, where they stand against competitors, and how to show up more often in AI-powered answers. Our platform turns black-box AI behavior into actionable insights, so marketing teams can make faster, smarter decisions that drive growth.\n\nFounded by leaders who helped scale The Trade Desk into the world’s leading ad tech platform, we bring deep expertise in digital advertising, data, and high-growth environments. Now, we’re pioneering a new category at the intersection of AI, SEO, and brand strategy.\n\nWe raised a $15M Series A led by Felicis Ventures, with support from Eniac, NextView, Roger Ehrenberg, and leaders from OpenAI, Google, Meta, Uber, and more. This gives us the momentum to move faster and build the first enterprise-grade AI marketing suite.\n\nBacked by top-tier VC investors and trusted by forward-thinking brands, we have the resources to scale – but what really defines us is our culture. We move fast, think boldly, and believe the best ideas win regardless of title. If you're excited about shaping the future of how brands grow in the age of AI, you’ll thrive here.\n\n\n\nYOUR TEAM\n\nYou’ll join Evertune’s engineering team at a pivotal moment in the company’s growth. We’re a tight-knit, ambitious group building quickly at the frontier of AI and search, with teammates primarily based in New York, Denver, and Seattle. We care deeply about craft, but we know great products are built through iteration – we value momentum, clear thinking, and people who turn ambiguity into product.\n\nAs an early member of the team, you’ll have a meaningful influence on what we build, how we build it, and how the engineering organization evolves as we scale.\n\nThis is a hybrid role based in the New York City, Seattle, or Denver/Boulder area. We have offices in NYC and Seattle, with a permanent Denver/Boulder office in development.\n\n\n\nYOUR ROLE\n\nAs a Senior Full Stack Engineer at Evertune, you’ll build across the core product experience – from user-facing workflows to the backend systems and APIs that power them. We’re looking for a strong generalist who can move fluidly between frontend and backend, make smart tradeoffs, and ship thoughtful, high-impact product work in a fast-moving environment.\n\nYou’ll contribute directly to core product development and partner closely with product, design, and engineering to turn complex ideas into software that feels intuitive, useful, and differentiated. This role is ideal for an engineer who likes owning problems end to end, thrives in ambiguity, and is excited to help define what great AI-native product development looks like.\n\nYou should be excited by AI-native product experiences, energized by ambiguity, and already heavily using AI tools and LLMs in your own workflow to operate with greater leverage.\n\n\n\nRESPONSIBILITIES\n\n - Own and develop key areas of Evertune’s product experience across frontend, backend, and APIs\n\n - Build and ship end-to-end product features across the stack, from user-facing experiences to backend services and integrations\n\n - Design, develop, and ship thoughtful, high-quality product experiences for cutting-edge AI products\n\n - Build and evolve backend services and application logic that power core product workflows\n\n - Collaborate closely with product, design, and engineering to turn complex ideas into clear, impactful user experiences\n\n - Help create cohesion across multiple product areas into a unified, intuitive product experience\n\n - Contribute to frontend architecture, backend design, and code standards across the stack\n\n - Partner with engineering teammates to design clean APIs and ensure seamless integration across systems\n\n - Debug and improve performance, reliability, responsiveness, and overall product quality\n\n - Contribute to a team culture that values speed, craft, ownership, and candor\n \n\n\nREQUIREMENTS\n\n - Must currently be located in the NYC, Seattle, or Denver area and able to work in-office 2-3x/week\n\n - 7+ years experience building and shipping production software as a full stack engineer\n\n - Strong experience working across modern frontend systems and backend services\n\n - Deep expertise with modern JavaScript frameworks\n\n - Experience building backend services and working with Python-based systems or similar\n\n - Strong product instinct and a track record of building thoughtful, user-facing software\n\n - Strong API design and integration skills\n\n - Comfort with cloud platforms (preferably GCP), CI/CD workflows, and performance monitoring\n\n - Forward-thinking about how AI is changing product development - whether that’s incorporating LLMs into workflows, building AI-native products, or using AI tools to move faster and improve quality\n\n - Must be AI-forward and actively using AI tools / LLMs to increase leverage and engineering efficiency\n\n - Excellent communication and collaboration skills, especially in cross-functional settings with design, product, and business stakeholders\n\n - Strong technical judgment and the ability to operate effectively in a fast-moving startup environment\n\nNice to Have\n\n - Familiarity with MongoDB or other NoSQL databases\n\n - Experience building analytics products, data-heavy applications, or complex B2B workflows\n\n - Experience building polished, intuitive user-facing product experiences\n\n - Early-stage startup or founding engineer experience\n\n - Exposure to the AI / LLM ecosystem or interest in large-scale model behavior\n\n - Contributions to open-source projects or developer communities\n \n\n\nCULTURE & VALUES\n\nAt Evertune, we’re building more than just groundbreaking AI products – we're building a culture where speed, insight and humanity go hand in hand. Here’s what we value:\n\n - Curiosity: We start with questions, not assumptions, and follow the signal wherever it leads.\n\n - Velocity: We move fast, iterate quickly and prefer learning through doing.\n\n - Empathy: We’re ambitious, but never at the expense of being respectful, inclusive and grounded.\n\n - Openness: We welcome different perspectives and challenge each other’s ideas\n\n - Ownership: We trust people to own decisions and outcomes.\n \n\n\nCOMPENSATION PHILOSOPHY & BENEFITS:\n\nOur salary ranges are based on paying competitively for our size and industry. Salary is just one part of our total compensation package that includes equity, perks & benefits, and development opportunities at Evertune AI. Individual pay decisions are based on several factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity relative to other Evertune AI employees. It is our expectation that the majority of candidates who are offered roles at Evertune AI will land well within our salary ranges based on these factors.\n\n\n\nThe annual base salary range for this position is: $120,000 - $300,000 + stock options.\n\n\nBenefits include: Competitive Equity, Medical/Dental/Vision Coverage, Generous Paid Time Off, Commuter Benefits, etc.\n\n\nEvertune does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of Evertune. Evertune is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.","compensation":{"compensationTierSummary":"$120K – $300K • Offers Equity","scrapeableCompensationSalarySummary":"$120K - $300K","compensationTiers":[{"id":"7deb8970-e56a-4811-b8f9-7b0272cd5829","tierSummary":"Estimated Base Salary $120K – $300K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"7e6b6d48-e8bc-428f-bb62-473141171a9f","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"26211df9-096d-4881-b048-44b43f31fa4c","summary":"Estimated Base Salary $120K – $300K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":120000,"maxValue":300000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":120000,"maxValue":300000}]}},{"id":"050cb9e5-894b-4ca6-929e-36488f0f73e8","title":"Senior Software Engineer, Back End","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"New York, NY, Denver, CO, or Seattle, WA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-04-20T17:29:48.956+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/evertune/050cb9e5-894b-4ca6-929e-36488f0f73e8","applyUrl":"https://jobs.ashbyhq.com/evertune/050cb9e5-894b-4ca6-929e-36488f0f73e8/application","descriptionHtml":"PLEASE NOTE: At this time, we are only able to consider candidates who are authorized to work in the United States without the need for current or future visa sponsorship. This includes U.S. citizens and Green Card holders.
Evertune is building the first AI discovery platform for modern marketers. As large language models (LLMs) become the go-to source for recommendations – we help brands understand exactly what AI is saying about them, where they stand against competitors, and how to show up more often in AI-powered answers. Our platform turns black-box AI behavior into actionable insights, so marketing teams can make faster, smarter decisions that drive growth.
Founded by leaders who helped scale The Trade Desk into the world’s leading ad tech platform, we bring deep expertise in digital advertising, data, and high-growth environments. Now, we’re pioneering a new category at the intersection of AI, SEO, and brand strategy.
We raised a $15M Series A led by Felicis Ventures, with support from Eniac, NextView, Roger Ehrenberg, and leaders from OpenAI, Google, Meta, Uber, and more. This gives us the momentum to move faster and build the first enterprise-grade AI marketing suite.
Backed by top-tier VC investors and trusted by forward-thinking brands, we have the resources to scale – but what really defines us is our culture. We move fast, think boldly, and believe the best ideas win regardless of title. If you're excited about shaping the future of how brands grow in the age of AI, you’ll thrive here.
You’ll join Evertune’s engineering team at a pivotal moment in the company’s growth. We’re a tight-knit, ambitious group building quickly at the frontier of AI and search, with teammates primarily based in New York, Denver, and Seattle. We care deeply about craft, but we know great products are built through iteration – we value momentum, clear thinking, and people who turn ambiguity into product.
As an early member of the team, you’ll have a meaningful influence on what we build, how we build it, and how the engineering organization evolves as we scale.
This is a hybrid role based in the New York City, Seattle, or Denver/Boulder area. We have offices in NYC and Seattle, with a permanent Denver/Boulder office in development.
In this role, you’ll build the backend systems that power our core product experience - from APIs and business logic to the data flows and integrations behind AI-native workflows. We’re looking for a product-minded backend engineer who can translate complex requirements into clean, scalable services and help turn cutting-edge AI capabilities into reliable, intuitive software for customers.
You’ll contribute directly to core product development and partner closely with product, design, and engineering to build systems that are thoughtful, performant, and built for iteration. This role is ideal for an engineer who enjoys owning backend problems end to end, thrives in ambiguity, and is excited to help define what great AI-native product development looks like from the backend out.
You should be excited by AI-native product experiences, energized by ambiguity, and already heavily using AI tools and LLMs in your own workflow to operate with greater leverage.
Own and build key backend systems that power Evertune’s product experience
Design, build, and maintain scalable backend services, APIs, and application logic in Python
Ship product-facing backend features that support customer workflows, insights, and AI-driven experiences
Design resilient APIs, optimize backend performance, and improve system reliability as product usage grows
Integrate and test third-party APIs, including LLM providers like OpenAI, Anthropic, Google, and others
Collaborate closely with product, design, and engineering to turn complex requirements into clean, reliable systems
Model and manage data in ways that support evolving product needs and scalable application development
Debug and troubleshoot issues across backend services, integrations, and production systems
Influence backend architecture and technical decisions that help the team move quickly and sustainably
Contribute to a team culture that values speed, craft, ownership, and candor
Must currently be located in the NYC, Denver, or Seattle area and able to work in-office 2-3x/week
7+ years of experience building and shipping production software for user-facing or B2B products, with substantial depth in backend engineering
Experience building scalable backend systems in Python or similar languages, with Python highly preferred
Strong fundamentals in system design, data modeling, testing, debugging, and performance optimization
Track record of building reliable product-facing services and integrations that directly support customer workflows
Comfortable working across APIs, databases, cloud infrastructure, observability, and CI/CD
Strong product instinct and a collaborative approach to working with product, design, and frontend engineers
AI-forward and actively using AI tools / LLMs to improve speed, quality, and engineering leverage
Strong communication skills, technical judgment, and comfort operating in a fast-moving startup environment
Nice to Have
Experience building analytics products, data-heavy applications, or complex B2B workflows
Experience integrating and operating LLM or generative AI systems in production
Familiarity with MongoDB or other NoSQL databases
Experience with event-driven systems, queues, or streaming architectures
Familiarity with cloud infrastructure, containerized services, or infrastructure-as-code
Early-stage startup or high-growth company experience
At Evertune, we’re building more than just groundbreaking AI products – we're building a culture where speed, insight and humanity go hand in hand. Here’s what we value:
Curiosity: We start with questions, not assumptions, and follow the signal wherever it leads.
Velocity: We move fast, iterate quickly and prefer learning through doing.
Empathy: We’re ambitious, but never at the expense of being respectful, inclusive and grounded.
Openness: We welcome different perspectives and challenge each other’s ideas
Ownership: We trust people to own decisions and outcomes.
Our salary ranges are based on paying competitively for our size and industry. Salary is just one part of our total compensation package that includes equity, perks & benefits, and development opportunities at Evertune AI. Individual pay decisions are based on several factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity relative to other Evertune AI employees. It is our expectation that the majority of candidates who are offered roles at Evertune AI will land well within our salary ranges based on these factors.
The annual base salary range for this position is: $120,000 - $300,000 + stock options.
Benefits include: Competitive Equity, Medical/Dental/Vision Coverage, Generous Paid Time Off, Commuter Benefits, etc.
Evertune does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of Evertune. Evertune is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
","descriptionPlain":"PLEASE NOTE: At this time, we are only able to consider candidates who are authorized to work in the United States without the need for current or future visa sponsorship. This includes U.S. citizens and Green Card holders.\n\n\n\n\nABOUT EVERTUNE AI\n\nEvertune is building the first AI discovery platform for modern marketers. As large language models (LLMs) become the go-to source for recommendations – we help brands understand exactly what AI is saying about them, where they stand against competitors, and how to show up more often in AI-powered answers. Our platform turns black-box AI behavior into actionable insights, so marketing teams can make faster, smarter decisions that drive growth.\n\nFounded by leaders who helped scale The Trade Desk into the world’s leading ad tech platform, we bring deep expertise in digital advertising, data, and high-growth environments. Now, we’re pioneering a new category at the intersection of AI, SEO, and brand strategy.\n\nWe raised a $15M Series A led by Felicis Ventures, with support from Eniac, NextView, Roger Ehrenberg, and leaders from OpenAI, Google, Meta, Uber, and more. This gives us the momentum to move faster and build the first enterprise-grade AI marketing suite.\n\nBacked by top-tier VC investors and trusted by forward-thinking brands, we have the resources to scale – but what really defines us is our culture. We move fast, think boldly, and believe the best ideas win regardless of title. If you're excited about shaping the future of how brands grow in the age of AI, you’ll thrive here.\n\n\n\nYOUR TEAM\n\nYou’ll join Evertune’s engineering team at a pivotal moment in the company’s growth. We’re a tight-knit, ambitious group building quickly at the frontier of AI and search, with teammates primarily based in New York, Denver, and Seattle. We care deeply about craft, but we know great products are built through iteration – we value momentum, clear thinking, and people who turn ambiguity into product.\n\nAs an early member of the team, you’ll have a meaningful influence on what we build, how we build it, and how the engineering organization evolves as we scale.\n\nThis is a hybrid role based in the New York City, Seattle, or Denver/Boulder area. We have offices in NYC and Seattle, with a permanent Denver/Boulder office in development.\n\n\n\nYOUR ROLE\n\nIn this role, you’ll build the backend systems that power our core product experience - from APIs and business logic to the data flows and integrations behind AI-native workflows. We’re looking for a product-minded backend engineer who can translate complex requirements into clean, scalable services and help turn cutting-edge AI capabilities into reliable, intuitive software for customers.\n\nYou’ll contribute directly to core product development and partner closely with product, design, and engineering to build systems that are thoughtful, performant, and built for iteration. This role is ideal for an engineer who enjoys owning backend problems end to end, thrives in ambiguity, and is excited to help define what great AI-native product development looks like from the backend out.\n\nYou should be excited by AI-native product experiences, energized by ambiguity, and already heavily using AI tools and LLMs in your own workflow to operate with greater leverage.\n\n\n\nRESPONSIBILITIES\n\n - Own and build key backend systems that power Evertune’s product experience\n\n - Design, build, and maintain scalable backend services, APIs, and application logic in Python\n\n - Ship product-facing backend features that support customer workflows, insights, and AI-driven experiences\n\n - Design resilient APIs, optimize backend performance, and improve system reliability as product usage grows\n\n - Integrate and test third-party APIs, including LLM providers like OpenAI, Anthropic, Google, and others\n\n - Collaborate closely with product, design, and engineering to turn complex requirements into clean, reliable systems\n\n - Model and manage data in ways that support evolving product needs and scalable application development\n\n - Debug and troubleshoot issues across backend services, integrations, and production systems\n\n - Influence backend architecture and technical decisions that help the team move quickly and sustainably\n\n - Contribute to a team culture that values speed, craft, ownership, and candor\n \n\n\nREQUIREMENTS\n\n - Must currently be located in the NYC, Denver, or Seattle area and able to work in-office 2-3x/week\n\n - 7+ years of experience building and shipping production software for user-facing or B2B products, with substantial depth in backend engineering\n\n - Experience building scalable backend systems in Python or similar languages, with Python highly preferred\n\n - Strong fundamentals in system design, data modeling, testing, debugging, and performance optimization\n\n - Track record of building reliable product-facing services and integrations that directly support customer workflows\n\n - Comfortable working across APIs, databases, cloud infrastructure, observability, and CI/CD\n\n - Strong product instinct and a collaborative approach to working with product, design, and frontend engineers\n\n - AI-forward and actively using AI tools / LLMs to improve speed, quality, and engineering leverage\n\n - Strong communication skills, technical judgment, and comfort operating in a fast-moving startup environment\n\nNice to Have\n\n - Experience building analytics products, data-heavy applications, or complex B2B workflows\n\n - Experience integrating and operating LLM or generative AI systems in production\n\n - Familiarity with MongoDB or other NoSQL databases\n\n - Experience with event-driven systems, queues, or streaming architectures\n\n - Familiarity with cloud infrastructure, containerized services, or infrastructure-as-code\n\n - Early-stage startup or high-growth company experience\n \n\n\nCULTURE & VALUES\n\nAt Evertune, we’re building more than just groundbreaking AI products – we're building a culture where speed, insight and humanity go hand in hand. Here’s what we value:\n\n - Curiosity: We start with questions, not assumptions, and follow the signal wherever it leads.\n\n - Velocity: We move fast, iterate quickly and prefer learning through doing.\n\n - Empathy: We’re ambitious, but never at the expense of being respectful, inclusive and grounded.\n\n - Openness: We welcome different perspectives and challenge each other’s ideas\n\n - Ownership: We trust people to own decisions and outcomes.\n\n\n\nCOMPENSATION PHILOSOPHY & BENEFITS:\n\nOur salary ranges are based on paying competitively for our size and industry. Salary is just one part of our total compensation package that includes equity, perks & benefits, and development opportunities at Evertune AI. Individual pay decisions are based on several factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity relative to other Evertune AI employees. It is our expectation that the majority of candidates who are offered roles at Evertune AI will land well within our salary ranges based on these factors.\n\nThe annual base salary range for this position is: $120,000 - $300,000 + stock options.\n\nBenefits include: Competitive Equity, Medical/Dental/Vision Coverage, Generous Paid Time Off, Commuter Benefits, etc.\n\nEvertune does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of Evertune. Evertune is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.\n\n","compensation":{"compensationTierSummary":"$120K – $300K • Offers Equity","scrapeableCompensationSalarySummary":"$120K - $300K","compensationTiers":[{"id":"8a95c5af-75fa-4e65-b8e2-3115547608d8","tierSummary":"Estimated Base Salary $120K – $300K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"c4250e22-8aab-414c-8ce7-462bf92f0c4a","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"ca014b6d-e977-416c-b154-2dfe789c6245","summary":"Estimated Base Salary $120K – $300K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":120000,"maxValue":300000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":120000,"maxValue":300000}]}},{"id":"f26675f6-062c-4cfc-8b0c-afb8011da57e","title":"AI Strategist, SEO & GEO","department":"Customer Success","team":"Customer Success","employmentType":"FullTime","location":"New York City","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-05-05T19:26:50.009+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/evertune/f26675f6-062c-4cfc-8b0c-afb8011da57e","applyUrl":"https://jobs.ashbyhq.com/evertune/f26675f6-062c-4cfc-8b0c-afb8011da57e/application","descriptionHtml":"Evertune is building the first AI discovery platform for modern marketers. As large language models (LLMs) become the go-to source for recommendations – we help brands understand exactly what AI is saying about them, where they stand against competitors, and how to show up more often in AI-powered answers. Our platform turns black-box AI behavior into actionable insights, so marketing teams can make faster, smarter decisions that drive growth.
Founded by leaders who helped scale The Trade Desk into the world’s leading ad tech platform, we bring deep expertise in digital advertising, data, and high-growth environments. Now, we’re pioneering a new category at the intersection of AI, SEO, and brand strategy.
We raised a $15M Series A led by Felicis Ventures, with support from Eniac, NextView, Roger Ehrenberg, and leaders from OpenAI, Google, Meta, Uber, and more. This gives us the momentum to move faster and build the first enterprise-grade AI marketing suite.
Backed by top-tier VC investors and trusted by forward-thinking brands, we have the resources to scale – but what really defines us is our culture. We move fast, think boldly, and believe the best ideas win regardless of title. If you're excited about shaping the future of how brands grow in the age of AI, you’ll thrive here.
You’ll be joining a lean, high-performing go-to-market team during a pivotal phase of Evertune’s growth. Our GTM org spans client services, sales, and marketing - working together to close business, shape strategy, and scale our client base across both brands and agencies. We operate with urgency, clarity, and trust – collaborating closely to drive impact for every partner we work with.
This role will sit within Client Services and report to our VP of Client Services, while working closely with Product as a key voice of the customer and internal SEO/GEO subject matter expert. You’ll operate at the intersection of client strategy, technical SEO, AI visibility, and product feedback - helping Evertune define what best-in-class AI discovery strategy looks like for both our customers and our own business.
As one of the first hires in this function, you won’t just support clients – you’ll help define the playbook. You’ll have direct access to leadership, tight alignment with product and engineering, and a front-row seat to how a venture-backed startup builds in one of the fastest-changing spaces in tech.
We’re hiring an AI Strategist to serve as Evertune’s client-facing SEO/GEO expert. This is a highly strategic, hands-on role for someone who can translate AI and LLM visibility insights into clear, actionable recommendations for clients - from brands with mature SEO teams to marketers who are just beginning to understand how they show up in AI-generated results.
You’ll help clients understand how they show up in AI-generated results, translate those insights into clear recommendations, and build the playbook for how brands can improve their visibility over time. Whether that means advising on technical SEO foundations, content strategy, schema, site structure, backlinking, or broader discoverability strategy – you’ll be the person we bring into conversations when clients want to go deep.
This role will also partner very closely with Product. You’ll help Evertune determine what customers actually need from the platform versus what is simply table stakes from legacy SEO tooling, and you’ll bring a strong point of view on where we should invest in order to better serve modern marketers navigating GEO and AI search.
While this is not a traditional Customer Success Manager role, this person will own a focused book of technically sophisticated clients where deep SEO/GEO credibility is essential. Success in this role will look different from the rest of the Client Services team: you’ll be measured not just by retention and growth, but by the strength of the strategic playbooks you build, the product insights you help shape, and the depth of expertise you bring to our most complex customer relationships.
You must be based in the NYC area and available to work in-office 3x/week at our Flatiron location.
Develop Evertune’s client playbook for understanding AI visibility and turning those insights into clear technical, content, and strategic actions that improve GEO performance
Own a focused book of strategic and technically sophisticated clients, where deep subject matter expertise is core to the partnership, adoption strategy, and account growth
Act as Evertune’s client-facing SEO / GEO specialist, leading technical and strategic conversations for your own accounts while supporting the broader Client Services team on high-complexity client needs
Translate platform insights into actionable recommendations that drive product usage, stronger customer outcomes, and expanded partnerships
Partner closely with Product as a key voice of the customer, helping distinguish essential platform capabilities from nice-to-have features
Bring customer feedback, market context, and hands-on SEO / GEO expertise into the product development process - helping shape roadmap priorities based on what clients actually need
Help define Evertune’s point of view on modern SEO, GEO, and AI discovery by identifying repeatable patterns, opportunities, and best practices across the client base
Build internal frameworks, enablement materials, and training that raise SEO / GEO fluency across Client Services and the broader go-to-market organization
Support select pre-sale conversations where deep SEO / GEO expertise can strengthen credibility and help prospects understand the strategic value of the platform
7+ years of experience in SEO, with strong hands-on technical depth across both strategy and execution
Experience owning SEO programs at a brand, agency, consultancy, or SEO-focused technology company
Strong command of core technical SEO concepts, including crawling, indexing, site architecture, internal linking, schema, content discoverability, and backlink strategy
Strong familiarity with AI search, LLM visibility, and GEO – and a clear point of view on how AI-powered discovery is changing modern SEO strategy
Ability to connect traditional SEO fundamentals to emerging AI / LLM search behavior and turn that into practical recommendations for clients
Strong client-facing communication skills, with the ability to explain complex SEO, GEO, and AI search concepts to both sophisticated practitioners and less technical marketers
Proven judgment in identifying what matters most for improving visibility, rather than defaulting to generic SEO best practices
Strong analytical skills and comfort using data to identify patterns, diagnose issues, and prioritize action
Demonstrated ability to operate cross-functionally and influence decision-making across client services, product, and go-to-market teams
Comfort working in ambiguity and building new playbooks, frameworks, and processes in a fast-moving startup environment
Based in NYC and available to work in-office 3x/week
Nice to Have
Experience working with enterprise brands or agency partners
Experience shaping product feedback, feature prioritization, or roadmap discussions
Background that combines technical SEO depth with strong external-facing or consultative skills
Existing thought leadership or an active voice on LinkedIn in SEO, GEO, or AI search
At Evertune, we’re building more than just groundbreaking AI products – we're building a culture where speed, insight and humanity go hand in hand. Here’s what we value:
Curiosity: We start with questions, not assumptions, and follow the signal wherever it leads.
Velocity: We move fast, iterate quickly and prefer learning through doing.
Empathy: We’re ambitious, but never at the expense of being respectful, inclusive and grounded.
Openness: We welcome different perspectives and challenge each other’s ideas
Ownership: We trust people to own decisions and outcomes.
Our salary ranges are based on paying competitively for our size and industry. Salary is just one part of our total compensation package that includes equity, perks & benefits, and development opportunities at Evertune AI. Individual pay decisions are based on several factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity relative to other Evertune AI employees. It is our expectation that the majority of candidates who are offered roles at Evertune AI will land well within our salary ranges based on these factors.
The annual base salary range for this position is: $125,000 – $165,000 + stock options. This role may also be eligible for discretionary bonus compensation based on company performance and individual impact.
Benefits include: Competitive Equity, Medical/Dental/Vision Coverage, Generous Paid Time Off, Commuter Benefits, etc.
Evertune does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of Evertune. Evertune is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
","descriptionPlain":"ABOUT EVERTUNE AI\n\nEvertune is building the first AI discovery platform for modern marketers. As large language models (LLMs) become the go-to source for recommendations – we help brands understand exactly what AI is saying about them, where they stand against competitors, and how to show up more often in AI-powered answers. Our platform turns black-box AI behavior into actionable insights, so marketing teams can make faster, smarter decisions that drive growth.\n\nFounded by leaders who helped scale The Trade Desk into the world’s leading ad tech platform, we bring deep expertise in digital advertising, data, and high-growth environments. Now, we’re pioneering a new category at the intersection of AI, SEO, and brand strategy.\n\nWe raised a $15M Series A led by Felicis Ventures, with support from Eniac, NextView, Roger Ehrenberg, and leaders from OpenAI, Google, Meta, Uber, and more. This gives us the momentum to move faster and build the first enterprise-grade AI marketing suite.\n\nBacked by top-tier VC investors and trusted by forward-thinking brands, we have the resources to scale – but what really defines us is our culture. We move fast, think boldly, and believe the best ideas win regardless of title. If you're excited about shaping the future of how brands grow in the age of AI, you’ll thrive here.\n\n\n\nYOUR TEAM\n\nYou’ll be joining a lean, high-performing go-to-market team during a pivotal phase of Evertune’s growth. Our GTM org spans client services, sales, and marketing - working together to close business, shape strategy, and scale our client base across both brands and agencies. We operate with urgency, clarity, and trust – collaborating closely to drive impact for every partner we work with.\n\nThis role will sit within Client Services and report to our VP of Client Services, while working closely with Product as a key voice of the customer and internal SEO/GEO subject matter expert. You’ll operate at the intersection of client strategy, technical SEO, AI visibility, and product feedback - helping Evertune define what best-in-class AI discovery strategy looks like for both our customers and our own business.\n\nAs one of the first hires in this function, you won’t just support clients – you’ll help define the playbook. You’ll have direct access to leadership, tight alignment with product and engineering, and a front-row seat to how a venture-backed startup builds in one of the fastest-changing spaces in tech.\n\n\n\nYOUR ROLE\n\nWe’re hiring an AI Strategist to serve as Evertune’s client-facing SEO/GEO expert. This is a highly strategic, hands-on role for someone who can translate AI and LLM visibility insights into clear, actionable recommendations for clients - from brands with mature SEO teams to marketers who are just beginning to understand how they show up in AI-generated results.\n\nYou’ll help clients understand how they show up in AI-generated results, translate those insights into clear recommendations, and build the playbook for how brands can improve their visibility over time. Whether that means advising on technical SEO foundations, content strategy, schema, site structure, backlinking, or broader discoverability strategy – you’ll be the person we bring into conversations when clients want to go deep.\n\nThis role will also partner very closely with Product. You’ll help Evertune determine what customers actually need from the platform versus what is simply table stakes from legacy SEO tooling, and you’ll bring a strong point of view on where we should invest in order to better serve modern marketers navigating GEO and AI search.\n\nWhile this is not a traditional Customer Success Manager role, this person will own a focused book of technically sophisticated clients where deep SEO/GEO credibility is essential. Success in this role will look different from the rest of the Client Services team: you’ll be measured not just by retention and growth, but by the strength of the strategic playbooks you build, the product insights you help shape, and the depth of expertise you bring to our most complex customer relationships.\n\nYou must be based in the NYC area and available to work in-office 3x/week at our Flatiron location.\n\n\n\nRESPONSIBILITIES\n\n - Develop Evertune’s client playbook for understanding AI visibility and turning those insights into clear technical, content, and strategic actions that improve GEO performance\n\n - Own a focused book of strategic and technically sophisticated clients, where deep subject matter expertise is core to the partnership, adoption strategy, and account growth\n\n - Act as Evertune’s client-facing SEO / GEO specialist, leading technical and strategic conversations for your own accounts while supporting the broader Client Services team on high-complexity client needs\n\n - Translate platform insights into actionable recommendations that drive product usage, stronger customer outcomes, and expanded partnerships\n\n - Partner closely with Product as a key voice of the customer, helping distinguish essential platform capabilities from nice-to-have features\n\n - Bring customer feedback, market context, and hands-on SEO / GEO expertise into the product development process - helping shape roadmap priorities based on what clients actually need\n\n - Help define Evertune’s point of view on modern SEO, GEO, and AI discovery by identifying repeatable patterns, opportunities, and best practices across the client base\n\n - Build internal frameworks, enablement materials, and training that raise SEO / GEO fluency across Client Services and the broader go-to-market organization\n\n - Support select pre-sale conversations where deep SEO / GEO expertise can strengthen credibility and help prospects understand the strategic value of the platform\n \n\n\nREQUIREMENTS\n\n - 7+ years of experience in SEO, with strong hands-on technical depth across both strategy and execution\n\n - Experience owning SEO programs at a brand, agency, consultancy, or SEO-focused technology company\n\n - Strong command of core technical SEO concepts, including crawling, indexing, site architecture, internal linking, schema, content discoverability, and backlink strategy\n\n - Strong familiarity with AI search, LLM visibility, and GEO – and a clear point of view on how AI-powered discovery is changing modern SEO strategy\n\n - Ability to connect traditional SEO fundamentals to emerging AI / LLM search behavior and turn that into practical recommendations for clients\n\n - Strong client-facing communication skills, with the ability to explain complex SEO, GEO, and AI search concepts to both sophisticated practitioners and less technical marketers\n\n - Proven judgment in identifying what matters most for improving visibility, rather than defaulting to generic SEO best practices\n\n - Strong analytical skills and comfort using data to identify patterns, diagnose issues, and prioritize action\n\n - Demonstrated ability to operate cross-functionally and influence decision-making across client services, product, and go-to-market teams\n\n - Comfort working in ambiguity and building new playbooks, frameworks, and processes in a fast-moving startup environment\n\n - Based in NYC and available to work in-office 3x/week\n\nNice to Have\n\n - Experience working with enterprise brands or agency partners\n\n - Experience shaping product feedback, feature prioritization, or roadmap discussions\n\n - Background that combines technical SEO depth with strong external-facing or consultative skills\n\n - Existing thought leadership or an active voice on LinkedIn in SEO, GEO, or AI search\n \n\n\nCULTURE & VALUES\n\nAt Evertune, we’re building more than just groundbreaking AI products – we're building a culture where speed, insight and humanity go hand in hand. Here’s what we value:\n\n - Curiosity: We start with questions, not assumptions, and follow the signal wherever it leads.\n\n - Velocity: We move fast, iterate quickly and prefer learning through doing.\n\n - Empathy: We’re ambitious, but never at the expense of being respectful, inclusive and grounded.\n\n - Openness: We welcome different perspectives and challenge each other’s ideas\n\n - Ownership: We trust people to own decisions and outcomes.\n\n\n\nCOMPENSATION PHILOSOPHY & BENEFITS:\n\n\nOur salary ranges are based on paying competitively for our size and industry. Salary is just one part of our total compensation package that includes equity, perks & benefits, and development opportunities at Evertune AI. Individual pay decisions are based on several factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity relative to other Evertune AI employees. It is our expectation that the majority of candidates who are offered roles at Evertune AI will land well within our salary ranges based on these factors.\n\n\nThe annual base salary range for this position is: $125,000 – $165,000 + stock options. This role may also be eligible for discretionary bonus compensation based on company performance and individual impact.\n\n\n\nBenefits include: Competitive Equity, Medical/Dental/Vision Coverage, Generous Paid Time Off, Commuter Benefits, etc.\n\n\n\nEvertune does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of Evertune. Evertune is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.","compensation":{"compensationTierSummary":"$125K – $165K • Offers Equity • Offers Bonus","scrapeableCompensationSalarySummary":"$125K - $165K","compensationTiers":[{"id":"c29a79bf-c12f-4a23-aae1-a49b95d0f75e","tierSummary":"$125K – $165K • Offers Equity • Offers Bonus","title":null,"additionalInformation":null,"components":[{"id":"e52e86e8-2a32-4eb8-898f-cbec44702764","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"71c1d3d5-829c-46d1-85bb-8b18a785f287","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"dd76fb02-99b4-4bf0-bed4-ecdc7bcb6cfe","summary":"$125K – $165K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":125000,"maxValue":165000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":125000,"maxValue":165000}]}}],"apiVersion":"1"}