You'll build the interfaces people use to run H's agents: the H Platform, where teams deploy an agent, follow it live and replay what it did step by step, and HoloTab, our Chrome extension that controls the browser on its user's behalf. The work is mostly front end, in React and TypeScript, with changes to the Python APIs behind it when a feature calls for them.
H builds agents that use a computer the way a person does, in the browser and on the desktop.
How people watch, steer and replay an agent while it acts on a computer, which has few established patterns yet. You'll decide how a live run appears and plays back, how live data gets to the screen, how a feature splits between front end and API, and which components become shared standards. We'll judge the work by what ships to users, by front-end quality held in CI, and by whether people can follow and control what an agent did.
Building the H Platform web app
Building and improving the HoloTab extension
Designing the live run view and replay
Changing the Python APIs behind a feature
Setting shared component patterns
Making long-running workflows easier for FDEs and customers to deploy and watch
Within three months, a feature you built, API change included, is with users. Within six, one surface is yours, such as live runs and replay or the HoloTab interface, and the team comes to you about it. Within a year, you're working across several of our products, agreeing what to build with their owners and then building it.
The role sits in Product Engineering, with our VP of Engineering as hiring manager. You'll work closely with the owners of the H Platform and HoloTab. Your users are our Forward Deployed Engineers (FDEs), our technical customers and the people who use HoloTab every day.
You're likely a good fit if you:
Have shipped a production product in React and TypeScript as a senior engineer
Make the API change a feature needs as well as the UI
Write correct, concurrent code
Handle live, async data in the UI correctly
Enjoy working out what users actually need and designing the interface around it
Have worked with Python
Stronger still if you have worked with:
Chrome extensions or the Chrome DevTools Protocol
Real-time interfaces using streaming, SSE or WebSockets
Design systems or component libraries
FastAPI or a similar Python API framework
Preact and Vite
You do not need a background in Python backend development. If you match most of this but not every point, apply anyway.
Four stages: a 30-minute call with our Talent team, a 60-minute coding interview, a take-home front-end exercise of about 2 hours with a 45-minute review, and a closing 30-minute conversation. The take-home is built around the kind of interface you'll be working on.
The role is hybrid, with three days a week in our Paris or London office and a visit to the other office every four to six weeks or so. We offer a competitive package.
","descriptionPlain":"You'll build the interfaces people use to run H's agents: the H Platform https://hcompany.ai/h-platform, where teams deploy an agent, follow it live and replay what it did step by step, and HoloTab https://hcompany.ai/holotab, our Chrome extension that controls the browser on its user's behalf. The work is mostly front end, in React and TypeScript, with changes to the Python APIs behind it when a feature calls for them.\n\nH builds agents that use a computer the way a person does, in the browser and on the desktop.\n\n\n\n\nWHAT YOU'LL OWN\n\nHow people watch, steer and replay an agent while it acts on a computer, which has few established patterns yet. You'll decide how a live run appears and plays back, how live data gets to the screen, how a feature splits between front end and API, and which components become shared standards. We'll judge the work by what ships to users, by front-end quality held in CI, and by whether people can follow and control what an agent did.\n\n\n\n\nWHAT YOU'LL BE DOING\n\n - Building the H Platform web app\n\n - Building and improving the HoloTab extension\n\n - Designing the live run view and replay\n\n - Changing the Python APIs behind a feature\n\n - Setting shared component patterns\n\n - Making long-running workflows easier for FDEs and customers to deploy and watch\n \n \n\n\nTHE FIRST YEAR\n\nWithin three months, a feature you built, API change included, is with users. Within six, one surface is yours, such as live runs and replay or the HoloTab interface, and the team comes to you about it. Within a year, you're working across several of our products, agreeing what to build with their owners and then building it.\n\n\n\n\nYOUR TEAM AND YOUR USERS\n\nThe role sits in Product Engineering, with our VP of Engineering as hiring manager. You'll work closely with the owners of the H Platform and HoloTab. Your users are our Forward Deployed Engineers (FDEs), our technical customers and the people who use HoloTab every day.\n\n\n\n\nWHAT WE THINK IT TAKES\n\nYou're likely a good fit if you:\n\n - Have shipped a production product in React and TypeScript as a senior engineer\n\n - Make the API change a feature needs as well as the UI\n\n - Write correct, concurrent code\n\n - Handle live, async data in the UI correctly\n\n - Enjoy working out what users actually need and designing the interface around it\n\n - Have worked with Python\n\nStronger still if you have worked with:\n\n - Chrome extensions or the Chrome DevTools Protocol\n\n - Real-time interfaces using streaming, SSE or WebSockets\n\n - Design systems or component libraries\n\n - FastAPI or a similar Python API framework\n\n - Preact and Vite\n\nYou do not need a background in Python backend development. If you match most of this but not every point, apply anyway.\n\n\n\n\nHOW WE HIRE\n\nFour stages: a 30-minute call with our Talent team, a 60-minute coding interview, a take-home front-end exercise of about 2 hours with a 45-minute review, and a closing 30-minute conversation. The take-home is built around the kind of interface you'll be working on.\n\n\n\n\nPRACTICALITIES\n\nThe role is hybrid, with three days a week in our Paris or London office and a visit to the other office every four to six weeks or so. We offer a competitive package."},{"id":"8ef0a8b6-40e1-40da-a337-4454ad39b66a","title":"Research Engineer, Model Inference & Serving - London","department":"Research","team":"Inference","employmentType":"FullTime","location":"Hybrid London","secondaryLocations":[],"publishedAt":"2026-04-10T07:14:15.036+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressCountry":"United Kingdom"}},"jobUrl":"https://jobs.ashbyhq.com/hcompany/8ef0a8b6-40e1-40da-a337-4454ad39b66a","applyUrl":"https://jobs.ashbyhq.com/hcompany/8ef0a8b6-40e1-40da-a337-4454ad39b66a/application","descriptionHtml":"About H: H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential. H is hiring the world's best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute.
About the Team: The Inference team builds and operates the systems that serve H's foundational models in production. We focus on multimodal inference and serving for Computer Use Agents, optimizing across both the inference engine layer (e.g., vLLM, SGLang) and the model serving layer (e.g., disaggregated inference, intelligent routing). Agentic inference brings constraints around context length, multimodality, and tool calls, which we address by co-designing with the Models team on training-time choices and with the agent teams on how models are deployed. We operate at the intersection of research and production, translating cutting-edge inference techniques into the systems that power H's next generation of agents. We are looking for strong engineers excited about inference to join the team and help shape the systems behind superintelligent AI.
Build and operate the inference stack that serves H's multimodal agentic models
Improve latency, throughput, and cost of model serving across the stack
Research and implement inference techniques tailored to agent workloads
Co-design with the Models team on training-time decisions that affect inference
Collaborate with cross-functional teams to integrate inference into agentic AI products
Evaluate inference, serving, and hardware platforms, and communicate findings to stakeholders
Stay current with advancements in inference, model serving, and accelerator technology
Technical skills:
Strong software engineering track record
Proficient in Python and at least one systems language (Rust, C++, or Go)
Hands-on experience with deep learning frameworks (PyTorch, JAX), preferably in an industry setting
Solid distributed systems fundamentals
Experience working in a modern cloud environment and with production ML infrastructure (Kubernetes, etc.)
Working knowledge of modern ML, including transformers and multimodal architectures
Research skills:
Research engagement: an advanced degree with research output, or publications at top-tier AI or systems venues (e.g., NeurIPS, ICML, MLSys, OSDI), research internships, or substantive open-source contributions
Soft skills:
Excellent communication and presentation skills
Strong collaboration and teamwork skills
Passion for inference and AI
Preferred qualifications:
Startup experience
Hands-on experience with inference frameworks (vLLM, SGLang, TensorRT-LLM)
Writing or modifying GPU kernels (CUDA, Triton, etc.)
Edge or on-device inference experience (llama.cpp, MLX, ONNX Runtime, etc.)
Experience with quantization, speculative decoding, disaggregated inference or KV-cache compression
Experience with multimodal models and/or agentic systems
Paris or London.
This role is hybrid, and you are expected to be in the office 3 days a week on average.
Please expect some travel between offices on a reasonable cadence (e.g., every 4-6 weeks).
Join the exciting journey of shaping the future of AI
Collaborate with a fun, dynamic and multicultural team, working alongside world-class AI talent in a highly collaborative environment
Enjoy a competitive salary
Unlock opportunities for professional growth, continuous learning, and career development
About H:
H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.
H is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute.
About the Team: The Models team builds the foundational models that power our cutting-edge agentic technology. We focus on training techniques to optimize model capabilities specifically for agent applications. This allows us to achieve the best performance at a given inference cost. Our work spans the development of Large Language Models (LLMs) and Vision-Language Models (VLMs), enabling agents to perceive, understand, and act within complex environments. We are deeply involved in enhancing these models through training methods with a focus on improved instruction following, tool use, and interaction with dynamic environments via large-scale reinforcement learning and reward modeling. We operate at the intersection of research and product, translating cutting-edge research into practical solutions that drive the next generation of AI. We are looking for bright, motivated individuals to join our ranks and shape the future of superintelligent AI.
Key Responsibilities:
Develop and train advanced LLMs and VLMs, including multimodal architectures
Research and implement training methods for enhanced capabilities like instruction following and tool use
Design and optimize data pipelines and training systems for large-scale distributed training
Collaborate with cross-functional teams to integrate models into agentic AI systems
Evaluate model performance and communicate findings to stakeholders
Stay current with advancements in LLMs, VLMs, and related fields
Requirements:
Technical skills:
Strong programming skills (Python, Git)
Expertise in deep learning frameworks (PyTorch, JAX, TensorFlow)
Experience with large-scale distributed training of LLMs and VLMs
Hands-on experience with LLM training, alignment, and reinforcement learning
Knowledge of multimodal architectures and applications
Research skills:
Publications in top-tier AI conferences (e.g., NeurIPS, ICML, CVPR, ACL, ICCV)
Advanced degree (PhD or MSc) in a relevant field (e.g., ML, DL, NLP, CV)
Soft skills:
Excellent communication and presentation skills
Strong collaboration and teamwork skills
Passion for AI and problem-solving
Bonuses:
Industry experience
Experience in LLM training with RL
Experience with data processing techniques
Location:
Paris or London.
This role is hybrid, and you are expected to be in the office 3 days a week on average.
Please expect some travel between offices on a reasonable cadence (e.g., every 4-6 weeks).
What We Offer:
Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups
Collaborate with a fun, dynamic and multicultural team, working alongside world-class AI talent in a highly collaborative environment
Enjoy a competitive salary
Unlock opportunities for professional growth, continuous learning, and career development
If you want to change the status quo in AI, join us.
","descriptionPlain":"About H:\nH exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.\n\nH is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute.\n\n\nAbout the Team: The Models team builds the foundational models that power our cutting-edge agentic technology. We focus on training techniques to optimize model capabilities specifically for agent applications. This allows us to achieve the best performance at a given inference cost. Our work spans the development of Large Language Models (LLMs) and Vision-Language Models (VLMs), enabling agents to perceive, understand, and act within complex environments. We are deeply involved in enhancing these models through training methods with a focus on improved instruction following, tool use, and interaction with dynamic environments via large-scale reinforcement learning and reward modeling. We operate at the intersection of research and product, translating cutting-edge research into practical solutions that drive the next generation of AI. We are looking for bright, motivated individuals to join our ranks and shape the future of superintelligent AI.\n\n\n\nKey Responsibilities:\n\n - Develop and train advanced LLMs and VLMs, including multimodal architectures\n\n - Research and implement training methods for enhanced capabilities like instruction following and tool use\n\n - Design and optimize data pipelines and training systems for large-scale distributed training\n\n - Collaborate with cross-functional teams to integrate models into agentic AI systems\n\n - Evaluate model performance and communicate findings to stakeholders\n\n - Stay current with advancements in LLMs, VLMs, and related fields\n \n \n\nRequirements:\n\n - Technical skills:\n \n - Strong programming skills (Python, Git)\n \n - Expertise in deep learning frameworks (PyTorch, JAX, TensorFlow)\n \n - Experience with large-scale distributed training of LLMs and VLMs\n \n - Hands-on experience with LLM training, alignment, and reinforcement learning\n \n - Knowledge of multimodal architectures and applications\n\n - Research skills:\n \n - Publications in top-tier AI conferences (e.g., NeurIPS, ICML, CVPR, ACL, ICCV)\n \n - Advanced degree (PhD or MSc) in a relevant field (e.g., ML, DL, NLP, CV)\n\n - Soft skills:\n \n - Excellent communication and presentation skills\n \n - Strong collaboration and teamwork skills\n \n - Passion for AI and problem-solving\n\n - Bonuses:\n \n - Industry experience\n \n - Experience in LLM training with RL\n \n - Experience with data processing techniques\n \n \n\nLocation:\n\n - Paris or London.\n\n - This role is hybrid, and you are expected to be in the office 3 days a week on average.\n\n - Please expect some travel between offices on a reasonable cadence (e.g., every 4-6 weeks).\n \n \n\nWhat We Offer:\n\n - Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups\n\n - Collaborate with a fun, dynamic and multicultural team, working alongside world-class AI talent in a highly collaborative environment\n\n - Enjoy a competitive salary\n\n - Unlock opportunities for professional growth, continuous learning, and career development\n \n \n\nIf you want to change the status quo in AI, join us."},{"id":"dd1fdec1-2943-456e-ac9a-517d19a58fd6","title":"Spontaneous Application","department":"GTM","team":"GTM","employmentType":"FullTime","location":"Hybrid Paris","secondaryLocations":[{"location":"Hybrid New York","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}}},{"location":"Hybrid London","address":{"postalAddress":{"addressCountry":"United Kingdom"}}},{"location":"Hybrid SF/Bay Area","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2025-09-22T12:08:12.252+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressCountry":"France","addressLocality":"Paris"}},"jobUrl":"https://jobs.ashbyhq.com/hcompany/dd1fdec1-2943-456e-ac9a-517d19a58fd6","applyUrl":"https://jobs.ashbyhq.com/hcompany/dd1fdec1-2943-456e-ac9a-517d19a58fd6/application","descriptionHtml":"About H:
H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.
H is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute.
Location:
Paris or London.
This role is hybrid, and you are expected to be in the office 3 days a week on average.
Please expect some travel between offices on a reasonable cadence (e.g., every 4-6 weeks).
What We Offer:
Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups
Collaborate with a fun, dynamic and multicultural team, working alongside world-class AI talent in a highly collaborative environment
Enjoy a competitive salary
Unlock opportunities for professional growth, continuous learning, and career development
If you want to change the status quo in AI, join us.
","descriptionPlain":"About H:\nH exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.\n\nH is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute.\n\n\n\nLocation:\n\n - Paris or London.\n\n - This role is hybrid, and you are expected to be in the office 3 days a week on average.\n\n - Please expect some travel between offices on a reasonable cadence (e.g., every 4-6 weeks).\n \n \n\nWhat We Offer:\n\n - Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups\n\n - Collaborate with a fun, dynamic and multicultural team, working alongside world-class AI talent in a highly collaborative environment\n\n - Enjoy a competitive salary\n\n - Unlock opportunities for professional growth, continuous learning, and career development\n\nIf you want to change the status quo in AI, join us."},{"id":"f3d58db1-0e00-411c-a693-ba1f8c4ce736","title":"Implementation Strategist","department":"Deployment","team":"Implementation Strategist","employmentType":"FullTime","location":"Hybrid Paris","secondaryLocations":[],"publishedAt":"2026-06-03T10:54:22.099+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressCountry":"France","addressLocality":"Paris"}},"jobUrl":"https://jobs.ashbyhq.com/hcompany/f3d58db1-0e00-411c-a693-ba1f8c4ce736","applyUrl":"https://jobs.ashbyhq.com/hcompany/f3d58db1-0e00-411c-a693-ba1f8c4ce736/application","descriptionHtml":"IMPLEMENTATION STRATEGIST
About H: H Company is a next-generation AI research and product company pioneering the future of autonomous, agentic AI. Founded to build intelligence that acts, H Company is creating the foundational infrastructure for autonomous AI systems that drive real-world outcomes across industries.
About the Team: The Implementation Strategist is the strategic link between customer and our engineering team. Your key stack is understand where the biggest customer problem stand and help find the right Agents to help our customer automate and optimize tasks, and allow them to focus on what really matters. The team is also responsible to shape the future vision of our products by distilling learnings from the field into the H platform.
That platform empowers a wide range of professionals and businesses to safely, easily and autonomously deploy agents at scale for a broad range of tasks: from ensuring websites behave as expected to automating repeated tasks.
Key Responsibilities:
Dig into the data to understand and identify customer’s most important and impactful multi-step task to automate
Be the Go To person for the customer
Partner with Forward Deployed Engineer to Seamlessly integrate our solutions
Coordinate trainings to ensure our solution best usage
Build and deliver demos and present results to strategic audience
Requirements:
3+ years of selling and implementing complex IT solutions to customers
A double curriculum in Business and Engineering school would be ideal
Technical Experience working with AI/ML systems would be appreciated
Fluency in at least one backend language (e.g., Python, Go, Node.js, Java) in addition to English ;-)
Strong problem-solving skills and ability to thrive in ambiguous, customer-facing environments
Excellent communication skills, both written and verbal
Bias for action—able to ship quickly, iterate fast, and own the full lifecycle of solutions
Willingness to travel for on-site deployments or customer engagements
Location:
H's teams are distributed throughout France, the UK, and the US
This role is currently in Paris, you are expected to travel up to 50% of the time
What We Offer:
Be part of the founding journey of one of the most exciting AI startups shaping the future of AI and agentic systems.
Collaborate with a fun, dynamic and multicultural team, working alongside world-class AI engineers, researchers, and builders in a high-trust, high-impact environment.
Enjoy a competitive compensation package, including salary and equity
Unlock opportunities for professional growth, continuous learning, and career development
When we released Holo4 on 28 September, we published every trajectory behind its public benchmark scores at trajectories.hcompany.ai. For OSWorld that's 369 desktop tasks, each run 3 times, with the steps, tokens and time of every attempt. This role builds and runs the evaluation framework that produces runs like these.
H builds computer-use agents and the models behind them. Developers use them through a managed API, and our forward deployed engineers take them into enterprise workflows.
The evaluation framework: orchestration, runtimes and observability. Researchers and forward deployed engineers bring the benchmarks, across web apps, desktop applications and the command line. Your job is to make the framework that runs them reliable, fast and cheap, and to make adding a new one quick. Research uses the results to choose checkpoints and decide whether a model ships. Product and the forward deployed engineers use them to measure agents on customer workflows. It carries roughly 50 benchmarks now. That number should be between 100 and 200 soon, and the framework has to keep up.
Integration support for researchers and forward deployed engineers bringing in a benchmark, with a shorter path each time.
Setting the standard for how a benchmark enters the framework, and building the checks that enforce it.
Scheduling and observability, so cluster capacity isn't left idle while evaluation jobs queue.
Reproducible results across trials, so a release decision rests on numbers that hold.
Whatever stack a benchmark calls for. One week that's cluster tuning; the next it's a browser extension or desktop environments.
Time with customers, from single developers to large companies, to find out what they want measured, then automating it so the results flow back into our harnesses and models.
By 3 months you'll have helped researchers or forward deployed engineers integrate 5 benchmarks, and started fixing what slows the framework down. By 6 months one part of it is yours, for example scaling the runs, observability, or a group of related benchmarks, and a release will have gone out on your numbers. By 12 months you'll know the design and trade-offs of the whole evaluation system, and be the person the rest of H asks about evaluations.
Ceiran Chapman, our VP Engineering, is hiring for this role. You'd join the evaluation team. The people relying on your work day to day are H's researchers and forward deployed engineers.
Likely a good fit if you
Have spent 5+ years in backend development, with production Python at the core, and use coding agents to go faster without letting quality drop.
Have built test, QA or evaluation tooling that other teams depended on, and care whether a number is right.
Have operated distributed systems on Kubernetes in a public cloud. AWS experience helps most.
Have built and shipped systems end to end, including APIs (REST or GraphQL) and integrations with outside services.
Know relational and non-relational databases, and message queues such as SQS, RabbitMQ or Kafka.
Instrument what you build, with metrics, tracing and monitoring from the start.
Stronger still if you have
Measured LLM quality before, or built agents yourself.
Packaged and run workloads in Docker and on virtual machines.
Used Temporal, Dask, FastAPI, PostgreSQL, Grafana or Datadog.
Automated web or desktop software with Playwright, Selenium or a browser extension you wrote.
Set standards other engineers follow, through code review, design review or mentoring.
You do not need a background in machine learning. We'll work that out with you. If you match most of this but not all of it, apply anyway.
A 30 minute call with our Talent team, a 60 minute technical challenge, a 60 minute system design interview, and a 30 minute final conversation with Ceiran. About 3.5 hours in total.
London posting: Hybrid in London. That means 3 office days a week and a Paris trip about once every 4 to 6 weeks. There is a Paris posting for the same role. We offer a competitive package.
","descriptionPlain":"ABOUT H:\n\nWhen we released Holo4 https://hcompany.ai/newsroom/holo4 on 28 September, we published every trajectory behind its public benchmark scores at trajectories.hcompany.ai http://trajectories.hcompany.ai. For OSWorld that's 369 desktop tasks, each run 3 times, with the steps, tokens and time of every attempt. This role builds and runs the evaluation framework that produces runs like these.\n\nH builds computer-use agents and the models behind them. Developers use them through a managed API https://hcompany.ai/newsroom/computer-use-agents-api, and our forward deployed engineers take them into enterprise workflows.\n\n\n\n\nWHAT THIS TEAM OWNS\n\nThe evaluation framework: orchestration, runtimes and observability. Researchers and forward deployed engineers bring the benchmarks, across web apps, desktop applications and the command line. Your job is to make the framework that runs them reliable, fast and cheap, and to make adding a new one quick. Research uses the results to choose checkpoints and decide whether a model ships. Product and the forward deployed engineers use them to measure agents on customer workflows. It carries roughly 50 benchmarks now. That number should be between 100 and 200 soon, and the framework has to keep up.\n\n\n\n\nWHAT YOU'D BE DOING\n\n - Integration support for researchers and forward deployed engineers bringing in a benchmark, with a shorter path each time.\n\n - Setting the standard for how a benchmark enters the framework, and building the checks that enforce it.\n\n - Scheduling and observability, so cluster capacity isn't left idle while evaluation jobs queue.\n\n - Reproducible results across trials, so a release decision rests on numbers that hold.\n\n - Whatever stack a benchmark calls for. One week that's cluster tuning; the next it's a browser extension or desktop environments.\n\n - Time with customers, from single developers to large companies, to find out what they want measured, then automating it so the results flow back into our harnesses and models.\n\n\n\n\nTHE FIRST FEW MONTHS\n\nBy 3 months you'll have helped researchers or forward deployed engineers integrate 5 benchmarks, and started fixing what slows the framework down. By 6 months one part of it is yours, for example scaling the runs, observability, or a group of related benchmarks, and a release will have gone out on your numbers. By 12 months you'll know the design and trade-offs of the whole evaluation system, and be the person the rest of H asks about evaluations.\n\n\n\n\nWHO YOU'D WORK WITH\n\nCeiran Chapman, our VP Engineering, is hiring for this role. You'd join the evaluation team. The people relying on your work day to day are H's researchers and forward deployed engineers.\n\n\n\n\nWHAT WE THINK IT TAKES\n\nLikely a good fit if you\n\n - Have spent 5+ years in backend development, with production Python at the core, and use coding agents to go faster without letting quality drop.\n\n - Have built test, QA or evaluation tooling that other teams depended on, and care whether a number is right.\n\n - Have operated distributed systems on Kubernetes in a public cloud. AWS experience helps most.\n\n - Have built and shipped systems end to end, including APIs (REST or GraphQL) and integrations with outside services.\n\n - Know relational and non-relational databases, and message queues such as SQS, RabbitMQ or Kafka.\n\n - Instrument what you build, with metrics, tracing and monitoring from the start.\n\nStronger still if you have\n\n - Measured LLM quality before, or built agents yourself.\n\n - Packaged and run workloads in Docker and on virtual machines.\n\n - Used Temporal, Dask, FastAPI, PostgreSQL, Grafana or Datadog.\n\n - Automated web or desktop software with Playwright, Selenium or a browser extension you wrote.\n\n - Set standards other engineers follow, through code review, design review or mentoring.\n\n\n\nYou do not need a background in machine learning. We'll work that out with you. If you match most of this but not all of it, apply anyway.\n\n\n\n\nHOW WE HIRE\n\nA 30 minute call with our Talent team, a 60 minute technical challenge, a 60 minute system design interview, and a 30 minute final conversation with Ceiran. About 3.5 hours in total.\n\n\n\n\nPRACTICALITIES\n\nLondon posting: Hybrid in London. That means 3 office days a week and a Paris trip about once every 4 to 6 weeks. There is a Paris posting for the same role. We offer a competitive package."},{"id":"d4f68d7e-275f-4df3-b741-4f16e8186131","title":"Senior Account Executive - US","department":"GTM","team":"GTM","employmentType":"FullTime","location":"Hybrid New York","secondaryLocations":[],"publishedAt":"2026-06-16T08:22:43.249+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/hcompany/d4f68d7e-275f-4df3-b741-4f16e8186131","applyUrl":"https://jobs.ashbyhq.com/hcompany/d4f68d7e-275f-4df3-b741-4f16e8186131/application","descriptionHtml":"H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.
H is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute.
We are looking for a Senior Account Executive based in New York City to lead our commercial expansion in the United States. If you're a strategic thinker with a strong B2B sales background and a passion for AI, this is your chance to shape the future of an ambitious French tech company.
Go-to-Market Strategy: Design and implement a scalable go-to-market strategy to open and expand our presence in the US market.
Business Development: Identify and pursue new B2B opportunities, from enterprise to mid-market clients across multiple industries.
Sales Execution: Own the entire sales cycle from prospecting to closing, leveraging consultative and value-based selling approaches.
Partnerships: Develop strategic alliances and channel partnerships to support growth.
Market Intelligence: Provide continuous feedback to product and marketing teams about client needs, trends, and market dynamics.
Experience: 10+ years of B2B GTM experience, including at least 5 years in a leadership role within a fast-paced tech or SaaS environment.
Mindset: Entrepreneurial, autonomous hands-on, data-driven, and resilient. Some experience as a startup entrepreneur would be a plus
Market Knowledge: Deep understanding of the US B2B market, ideally with experience selling AI, SaaS, or enterprise technology solutions.
Track Record: Proven success in opening new markets, building a client base from scratch, and consistently exceeding sales targets.
Communication: Excellent communication and negotiation skills; comfortable presenting to C-level executives.
Education: Bachelor's degree required; MBA or relevant post-grad education is a plus.
Based in or around New York City with the ability to travel when needed.
Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups.
Collaborate with a fun, dynamic, and multicultural team, working alongside world-class AI talent in a highly collaborative environment.
Enjoy a competitive salary.
Unlock opportunities for professional growth, continuous learning, and career development.
If you want to change the status quo in AI, join us.
","descriptionPlain":"ABOUT H: \n\nH exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.\n\nH is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute.\n\n\n\n\nABOUT THE TEAM:\n\nWe are looking for a Senior Account Executive based in New York City to lead our commercial expansion in the United States. If you're a strategic thinker with a strong B2B sales background and a passion for AI, this is your chance to shape the future of an ambitious French tech company.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Go-to-Market Strategy: Design and implement a scalable go-to-market strategy to open and expand our presence in the US market.\n\n - Business Development: Identify and pursue new B2B opportunities, from enterprise to mid-market clients across multiple industries.\n\n - Sales Execution: Own the entire sales cycle from prospecting to closing, leveraging consultative and value-based selling approaches.\n\n - Partnerships: Develop strategic alliances and channel partnerships to support growth.\n\n - Market Intelligence: Provide continuous feedback to product and marketing teams about client needs, trends, and market dynamics.\n\n\nKEY REQUIREMENTS\n\n - Experience: 10+ years of B2B GTM experience, including at least 5 years in a leadership role within a fast-paced tech or SaaS environment.\n\n - Mindset: Entrepreneurial, autonomous hands-on, data-driven, and resilient. Some experience as a startup entrepreneur would be a plus\n\n - Market Knowledge: Deep understanding of the US B2B market, ideally with experience selling AI, SaaS, or enterprise technology solutions.\n\n - Track Record: Proven success in opening new markets, building a client base from scratch, and consistently exceeding sales targets.\n\n - Communication: Excellent communication and negotiation skills; comfortable presenting to C-level executives.\n\n - Education: Bachelor's degree required; MBA or relevant post-grad education is a plus.\n\n\n\n\nLOCATION:\n\n - Based in or around New York City with the ability to travel when needed.\n\n\n\n\nWHAT WE OFFER:\n\n - Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups.\n\n - Collaborate with a fun, dynamic, and multicultural team, working alongside world-class AI talent in a highly collaborative environment.\n\n - Enjoy a competitive salary.\n\n - Unlock opportunities for professional growth, continuous learning, and career development.\n \n \n\nIf you want to change the status quo in AI, join us."},{"id":"abdc048f-bc46-4805-9684-fc65fe1475e3","title":"Account Executive - Enterprise","department":"GTM","team":"GTM","employmentType":"FullTime","location":"Hybrid Paris","secondaryLocations":[],"publishedAt":"2026-03-26T13:57:02.997+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressCountry":"France","addressLocality":"Paris"}},"jobUrl":"https://jobs.ashbyhq.com/hcompany/abdc048f-bc46-4805-9684-fc65fe1475e3","applyUrl":"https://jobs.ashbyhq.com/hcompany/abdc048f-bc46-4805-9684-fc65fe1475e3/application","descriptionHtml":"H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.
H is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute.
We are looking for a Account Executive to contribute to our commercial expansion in Europe. If you're a strategic thinker with a strong B2B sales background and a passion for AI, this is your chance to shape the future of an ambitious French tech company.
Business Development: Identify and pursue new B2B opportunities, from enterprise to mid-market clients across multiple industries.
Sales Execution: Own the entire sales cycle from prospecting to closing, leveraging consultative and value-based selling approaches.
Market Intelligence: Provide continuous feedback to product and marketing teams about client needs, trends, and market dynamics.
Experience: 10+ years of B2B GTM experience within a fast-paced tech or SaaS environment and or consulting
Mindset: Entrepreneurial, autonomous hands-on, data-driven, and resilient. Some experience as a startup entrepreneur would be a plus
Market Knowledge: Deep understanding of the B2B market, ideally with experience selling AI, SaaS, or enterprise technology solutions.
Track Record: Proven success in building a client base from scratch, and consistently exceeding sales targets.
Communication: Excellent communication and negotiation skills; comfortable presenting to C-level executives.
Education: Master's degree required; MBA or relevant post-grad education is a plus.
Paris or London.
This role is hybrid, and you are expected to be in the office or with customers 3 days a week on average.
Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups.
Collaborate with a fun, dynamic, and multicultural team, working alongside world-class AI talent in a highly collaborative environment.
Enjoy a competitive salary and benefits.
Unlock opportunities for professional growth, continuous learning, and career development.
If you want to change the status quo in AI, join us.
","descriptionPlain":"ABOUT H: \n\nH exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.\n\nH is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute.\n\n\n\n\nABOUT THE TEAM:\n\nWe are looking for a Account Executive to contribute to our commercial expansion in Europe. If you're a strategic thinker with a strong B2B sales background and a passion for AI, this is your chance to shape the future of an ambitious French tech company.\n\n\n\n\nKEY RESPONSIBILITIES:\n\n - Business Development: Identify and pursue new B2B opportunities, from enterprise to mid-market clients across multiple industries.\n\n - Sales Execution: Own the entire sales cycle from prospecting to closing, leveraging consultative and value-based selling approaches.\n\n - Market Intelligence: Provide continuous feedback to product and marketing teams about client needs, trends, and market dynamics.\n\n\n\n\nKEY REQUIREMENTS:\n\n - Experience: 10+ years of B2B GTM experience within a fast-paced tech or SaaS environment and or consulting\n\n - Mindset: Entrepreneurial, autonomous hands-on, data-driven, and resilient. Some experience as a startup entrepreneur would be a plus\n\n - Market Knowledge: Deep understanding of the B2B market, ideally with experience selling AI, SaaS, or enterprise technology solutions.\n\n - Track Record: Proven success in building a client base from scratch, and consistently exceeding sales targets.\n\n - Communication: Excellent communication and negotiation skills; comfortable presenting to C-level executives.\n\n - Education: Master's degree required; MBA or relevant post-grad education is a plus.\n\n\n\n\nLOCATION:\n\n - Paris or London.\n\n - This role is hybrid, and you are expected to be in the office or with customers 3 days a week on average.\n\n\n\n\nWHAT WE OFFER:\n\n - Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups.\n\n - Collaborate with a fun, dynamic, and multicultural team, working alongside world-class AI talent in a highly collaborative environment.\n\n - Enjoy a competitive salary and benefits.\n\n - Unlock opportunities for professional growth, continuous learning, and career development.\n\nIf you want to change the status quo in AI, join us."},{"id":"bf30f76b-1b25-417c-9771-b5c1dadb7833","title":"Senior Business Development - US","department":"GTM","team":"GTM","employmentType":"FullTime","location":"Hybrid Austin","secondaryLocations":[{"location":"Hybrid New York","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-07-20T14:39:05.218+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Texas","addressCountry":"United States","addressLocality":"Austin"}},"jobUrl":"https://jobs.ashbyhq.com/hcompany/bf30f76b-1b25-417c-9771-b5c1dadb7833","applyUrl":"https://jobs.ashbyhq.com/hcompany/bf30f76b-1b25-417c-9771-b5c1dadb7833/application","descriptionHtml":"About H:
H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.
THE ROLE
This is a senior individual contributor role at the top of the revenue funnel. You'll own outbound pipeline generation, AE support, trade show execution, and pipeline infrastructure for our full motion GTM operations.
The role is structured to develop into an AE, demand gen lead, or RevOps seat within 18–24 months. We're explicit about that because it affects who we hire and how we develop people here.
You'll lean heavily into agentic AI and tools to exponentially increase your productivity—including H's own computer-use agent, Holo, which handles the repeatable parts of the job autonomously. That changes the scope and the ceiling of what one person in this seat can do.
WHAT YOU'LL DO
Build and run outbound into senior operators — VPs of Utilization Management, CFOs, Heads of Revenue Cycle. Research-driven, account-specific. H sells to people who will see through anything generic, so the work has to be substantive.
Support enterprise AEs through the full sales cycle — org maps, stakeholder research, competitive context, pre-meeting prep. These are six- and seven-figure deals. The commercial intelligence needs to match that level.
Own trade show execution for assigned events — pre-show outreach, on-site lead capture, post-show follow-through against defined meeting targets. The full arc, not just attendance.
Run and improve pipeline infrastructure in HubSpot, Clay, and Apollo. Own the data quality and hold the team to it.
Use Holo to automate the repeatable parts of the above. Document what works and contribute to how the broader team uses AI in the commercial motion.
WHAT WE'RE LOOKING FOR
We're hiring for the top 1% of people at this experience level — not the top 1% of applicants to this posting, but the top 1% of people doing this kind of work anywhere. If that's not you yet, this probably isn't the right next step.
3–6 years in a revenue-adjacent role — SDR, BDR, inside sales, demand gen, RevOps, or growth marketing. This is probably your second or third position in tech.
Fluency with pipeline metrics. You know what conversion rates, sequence performance, and pipeline coverage are telling you, and you act on it without being prompted.
The range to have a credible conversation with a senior operator. H's buyers are experienced executives in complex industries. You don't need to be a domain expert, but you need to be able to hold your end of a substantive conversation.
AI-native. You already use AI tools to do your job better as part of your actual workflow. You're interested in what else is possible, and you'll figure it out.
Comfortable operating without a complete playbook. The US commercial process is being built. You'll contribute to it rather than execute from it.
LOCATION
Hybrid from the Bay area/New York/Austin
WHAT WE OFFER
Competitive salary and equity (OTE 100-200k USD)
A clear path to AE, demand gen lead, or RevOps within 18–24 months. We'll be specific about what the progression looks like and what we need to see from you to get there.
A small, senior US commercial team. Direct access to leadership. The feedback loop is short.
H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.
H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.
H is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute.
The Models team builds the foundational models that power our cutting-edge agentic technology. We focus on training techniques to optimize model capabilities specifically for agent applications. This allows us to achieve the best performance at a given inference cost.
Our work spans the development of Large Language Models (LLMs) and Vision-Language Models (VLMs), enabling agents to perceive, understand, and act within complex environments. We own the entire pipeline including synthetic data generation, environment design, mid-training, supervised fine-tuning, offline reinforcement learning, online reinforcement learning, reward modelling, transition modelling, etc. Our team also has dedicated MLOps, Infra and Inference support at scale. We focus on improving the long horizon, goal-conditioned instruction-following of large models for GUI/Computer Use agentic interactions, tool use in complex dynamic environments. We regularly ship releases that establish new SOTA in public leaderboards. We parallely operate at the intersection of research and product, translating cutting-edge research into practical solutions that drive the next generation of AI. We are looking for bright, motivated individuals to join us and shape the future of superintelligent AI. Check some of our output
Develop and train advanced LLMs and VLMs, including multimodal architectures
Research and implement training methods for enhanced capabilities like instruction following and tool use
Design and optimize data pipelines and training systems for large-scale distributed training
Collaborate with cross-functional teams to integrate models into agentic AI systems
Evaluate model performance and communicate findings to stakeholders
Stay current with advancements in LLMs, VLMs, and related fields
You have a strong research engineer / scientist mindset with experience training and improving large language models at different scales in distributed computing settings whether that’s modelling, data collection, experimenting and ablating, implementing SOTA.
You have strong programming skills in Python, Rust, or similar; and strong software engineering fundamentals building performant and reliable systems.
Proficient in deep learning frameworks (Pytorch, JAX, TensorFlow).
You can work on different layers of the stack from low-level training backends, data ingestion to ML/RL algorithmic design and implementation.
You know when and where to be rigorous and slower versus when to break and iterate quickly.
You have trained LLMs/VLMs with techniques such as SFT, DPO, RLHF/RLVR, reward modelling, offline RL, distillation, etc.
You have experience with offline and online reinforcement learning in or outside of the context of language models.
Publications in top-tier AI conferences (e.g., NeurIPS, ICML, CVPR, ACL, ICCV, AAMAS, ...)
Advanced degree (PhD or MSc) in a relevant field (e.g., ML, DL, NLP, CV)
Experience with large-scale distributed training and inference (multi-node, large models, MoE, parallelism strategies, etc)
Experience training models for computer use or other multi-turn and/or multimodal agentic settings.
Extensive experience with reinforcement learning with sparse rewards.
Experience with multi-domain training, data mixture design, curriculum learning, model merging, distillation.
You are a good communicator, collaborative and low-ego.
You are able to handle a controlled-chaotic environment with a high-degree of between-teams dependencies and collaboration.
You have a go-do attitude and can balance personal conviction/interests with wider team needs.
You don't shy away from hard research or engineering problems.
Paris or London.
This role is hybrid, and you are expected to be in the office 3 days a week on average.
Please expect some travel between offices on a reasonable cadence (e.g., every 4-6 weeks).
Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups
Collaborate with a fun, dynamic and multicultural team, working alongside world-class AI talent in a highly collaborative environment.
Enjoy a highly competitive salary.
Unlock opportunities for professional growth, continuous learning, and career development
If you want to change the status quo in AI, join us.
","descriptionPlain":"ABOUT H\n\nH exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.\n\nH is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute.\n\n\n\n\nABOUT THE RESEARCH & MODELS TEAM\n\nThe Models team builds the foundational models that power our cutting-edge agentic technology. We focus on training techniques to optimize model capabilities specifically for agent applications. This allows us to achieve the best performance at a given inference cost.\n\nOur work spans the development of Large Language Models (LLMs) and Vision-Language Models (VLMs), enabling agents to perceive, understand, and act within complex environments. We own the entire pipeline including synthetic data generation, environment design, mid-training, supervised fine-tuning, offline reinforcement learning, online reinforcement learning, reward modelling, transition modelling, etc. Our team also has dedicated MLOps, Infra and Inference support at scale. We focus on improving the long horizon, goal-conditioned instruction-following of large models for GUI/Computer Use agentic interactions, tool use in complex dynamic environments. We regularly ship releases that establish new SOTA in public leaderboards. We parallely operate at the intersection of research and product, translating cutting-edge research into practical solutions that drive the next generation of AI. We are looking for bright, motivated individuals to join us and shape the future of superintelligent AI. Check some of our output\n\n - https://hcompany.ai/holo3\n\n - https://hcompany.ai/holotron3\n\n - https://hcompany.ai/h-joins-nemotron-coalition\n\n - https://hcompany.ai/meet-holotab\n\n\n\n\nKEY RESPONSIBILITIES:\n\n - Develop and train advanced LLMs and VLMs, including multimodal architectures\n\n - Research and implement training methods for enhanced capabilities like instruction following and tool use\n\n - Design and optimize data pipelines and training systems for large-scale distributed training\n\n - Collaborate with cross-functional teams to integrate models into agentic AI systems\n\n - Evaluate model performance and communicate findings to stakeholders\n\n - Stay current with advancements in LLMs, VLMs, and related fields\n \n \n\n\nABOUT YOU:\n\nYou have a strong research engineer / scientist mindset with experience training and improving large language models at different scales in distributed computing settings whether that’s modelling, data collection, experimenting and ablating, implementing SOTA.\n\n\n\n\nTECHNICAL SKILLS:\n\n - You have strong programming skills in Python, Rust, or similar; and strong software engineering fundamentals building performant and reliable systems.\n\n - Proficient in deep learning frameworks (Pytorch, JAX, TensorFlow).\n\n - You can work on different layers of the stack from low-level training backends, data ingestion to ML/RL algorithmic design and implementation.\n\n - You know when and where to be rigorous and slower versus when to break and iterate quickly.\n\n - You have trained LLMs/VLMs with techniques such as SFT, DPO, RLHF/RLVR, reward modelling, offline RL, distillation, etc.\n\n - You have experience with offline and online reinforcement learning in or outside of the context of language models.\n\n\nPREFERRED:\n\n - Publications in top-tier AI conferences (e.g., NeurIPS, ICML, CVPR, ACL, ICCV, AAMAS, ...)\n\n - Advanced degree (PhD or MSc) in a relevant field (e.g., ML, DL, NLP, CV)\n\n - Experience with large-scale distributed training and inference (multi-node, large models, MoE, parallelism strategies, etc)\n\n - Experience training models for computer use or other multi-turn and/or multimodal agentic settings.\n\n - Extensive experience with reinforcement learning with sparse rewards.\n\n - Experience with multi-domain training, data mixture design, curriculum learning, model merging, distillation.\n\n\nSOFT SKILLS:\n\n - You are a good communicator, collaborative and low-ego.\n\n - You are able to handle a controlled-chaotic environment with a high-degree of between-teams dependencies and collaboration.\n\n - You have a go-do attitude and can balance personal conviction/interests with wider team needs.\n\n - You don't shy away from hard research or engineering problems.\n\n\n\n\nLOCATION:\n\n - Paris or London.\n\n - This role is hybrid, and you are expected to be in the office 3 days a week on average.\n\n - Please expect some travel between offices on a reasonable cadence (e.g., every 4-6 weeks).\n\n\n\n\nWHAT WE OFFER:\n\n - Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups\n\n - Collaborate with a fun, dynamic and multicultural team, working alongside world-class AI talent in a highly collaborative environment.\n\n - Enjoy a highly competitive salary.\n\n - Unlock opportunities for professional growth, continuous learning, and career development\n\n\n\nIf you want to change the status quo in AI, join us."},{"id":"554643f8-60cf-409b-899a-ba7761def97f","title":"Research Engineer, Model Inference & Serving - Paris","department":"Research","team":"Inference","employmentType":"FullTime","location":"Hybrid Paris","secondaryLocations":[],"publishedAt":"2026-04-14T10:03:01.011+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressCountry":"France","addressLocality":"Paris"}},"jobUrl":"https://jobs.ashbyhq.com/hcompany/554643f8-60cf-409b-899a-ba7761def97f","applyUrl":"https://jobs.ashbyhq.com/hcompany/554643f8-60cf-409b-899a-ba7761def97f/application","descriptionHtml":"About H: H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential. H is hiring the world's best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute.
About the Team: The Inference team builds and operates the systems that serve H's foundational models in production. We focus on multimodal inference and serving for Computer Use Agents, optimizing across both the inference engine layer (e.g., vLLM, SGLang) and the model serving layer (e.g., disaggregated inference, intelligent routing). Agentic inference brings constraints around context length, multimodality, and tool calls, which we address by co-designing with the Models team on training-time choices and with the agent teams on how models are deployed. We operate at the intersection of research and production, translating cutting-edge inference techniques into the systems that power H's next generation of agents. We are looking for strong engineers excited about inference to join the team and help shape the systems behind superintelligent AI.
Build and operate the inference stack that serves H's multimodal agentic models
Improve latency, throughput, and cost of model serving across the stack
Research and implement inference techniques tailored to agent workloads
Co-design with the Models team on training-time decisions that affect inference
Collaborate with cross-functional teams to integrate inference into agentic AI products
Evaluate inference, serving, and hardware platforms, and communicate findings to stakeholders
Stay current with advancements in inference, model serving, and accelerator technology
Technical skills:
Strong software engineering track record
Proficient in Python and at least one systems language (Rust, C++, or Go)
Hands-on experience with deep learning frameworks (PyTorch, JAX), preferably in an industry setting
Solid distributed systems fundamentals
Experience working in a modern cloud environment and with production ML infrastructure (Kubernetes, etc.)
Working knowledge of modern ML, including transformers and multimodal architectures
Research skills:
Research engagement: an advanced degree with research output, or publications at top-tier AI or systems venues (e.g., NeurIPS, ICML, MLSys, OSDI), research internships, or substantive open-source contributions
Soft skills:
Excellent communication and presentation skills
Strong collaboration and teamwork skills
Passion for inference and AI
Preferred qualifications:
Startup experience
Hands-on experience with inference frameworks (vLLM, SGLang, TensorRT-LLM)
Writing or modifying GPU kernels (CUDA, Triton, etc.)
Edge or on-device inference experience (llama.cpp, MLX, ONNX Runtime, etc.)
Experience with quantization, speculative decoding, disaggregated inference or KV-cache compression
Experience with multimodal models and/or agentic systems
Paris or London.
This role is hybrid, and you are expected to be in the office 3 days a week on average.
Please expect some travel between offices on a reasonable cadence (e.g., every 4-6 weeks).
Join the exciting journey of shaping the future of AI
Collaborate with a fun, dynamic and multicultural team, working alongside world-class AI talent in a highly collaborative environment
Enjoy a competitive salary
Unlock opportunities for professional growth, continuous learning, and career development
If you want to change the status quo in AI, join us.
","descriptionPlain":"RESEARCH ENGINEER, MODEL INFERENCE & SERVING\n\nAbout H: H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential. H is hiring the world's best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute.\n\nAbout the Team: The Inference team builds and operates the systems that serve H's foundational models in production. We focus on multimodal inference and serving for Computer Use Agents, optimizing across both the inference engine layer (e.g., vLLM, SGLang) and the model serving layer (e.g., disaggregated inference, intelligent routing). Agentic inference brings constraints around context length, multimodality, and tool calls, which we address by co-designing with the Models team on training-time choices and with the agent teams on how models are deployed. We operate at the intersection of research and production, translating cutting-edge inference techniques into the systems that power H's next generation of agents. We are looking for strong engineers excited about inference to join the team and help shape the systems behind superintelligent AI.\n\n \n\n\nKEY RESPONSIBILITIES:\n\n - Build and operate the inference stack that serves H's multimodal agentic models\n\n - Improve latency, throughput, and cost of model serving across the stack\n\n - Research and implement inference techniques tailored to agent workloads\n\n - Co-design with the Models team on training-time decisions that affect inference\n\n - Collaborate with cross-functional teams to integrate inference into agentic AI products\n\n - Evaluate inference, serving, and hardware platforms, and communicate findings to stakeholders\n\n - Stay current with advancements in inference, model serving, and accelerator technology\n\n\nREQUIREMENTS:\n\n - Technical skills:\n \n - Strong software engineering track record\n \n - Proficient in Python and at least one systems language (Rust, C++, or Go)\n \n - Hands-on experience with deep learning frameworks (PyTorch, JAX), preferably in an industry setting\n \n - Solid distributed systems fundamentals\n \n - Experience working in a modern cloud environment and with production ML infrastructure (Kubernetes, etc.)\n \n - Working knowledge of modern ML, including transformers and multimodal architectures\n\n - Research skills:\n \n - Research engagement: an advanced degree with research output, or publications at top-tier AI or systems venues (e.g., NeurIPS, ICML, MLSys, OSDI), research internships, or substantive open-source contributions\n\n - Soft skills:\n \n - Excellent communication and presentation skills\n \n - Strong collaboration and teamwork skills\n \n - Passion for inference and AI\n\n - Preferred qualifications:\n \n - Startup experience\n \n - Hands-on experience with inference frameworks (vLLM, SGLang, TensorRT-LLM)\n \n - Writing or modifying GPU kernels (CUDA, Triton, etc.)\n \n - Edge or on-device inference experience (llama.cpp, MLX, ONNX Runtime, etc.)\n \n - Experience with quantization, speculative decoding, disaggregated inference or KV-cache compression\n \n - Experience with multimodal models and/or agentic systems\n\n\nLOCATION:\n\n - Paris or London.\n\n - This role is hybrid, and you are expected to be in the office 3 days a week on average.\n\n - Please expect some travel between offices on a reasonable cadence (e.g., every 4-6 weeks).\n\n\nWHAT WE OFFER:\n\n - Join the exciting journey of shaping the future of AI\n\n - Collaborate with a fun, dynamic and multicultural team, working alongside world-class AI talent in a highly collaborative environment\n\n - Enjoy a competitive salary\n\n - Unlock opportunities for professional growth, continuous learning, and career development\n\nIf you want to change the status quo in AI, join us."},{"id":"3ba24410-c856-439e-8551-b361c8fa819e","title":"Senior Software Engineer - Paris","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"Hybrid Paris","secondaryLocations":[],"publishedAt":"2026-10-02T15:16:55.865+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressCountry":"France","addressLocality":"Paris"}},"jobUrl":"https://jobs.ashbyhq.com/hcompany/3ba24410-c856-439e-8551-b361c8fa819e","applyUrl":"https://jobs.ashbyhq.com/hcompany/3ba24410-c856-439e-8551-b361c8fa819e/application","descriptionHtml":"When we released Holo4 on 28 September, we published every trajectory behind its public benchmark scores at trajectories.hcompany.ai. For OSWorld that's 369 desktop tasks, each run 3 times, with the steps, tokens and time of every attempt. This role builds and runs the evaluation framework that produces runs like these.
H builds computer-use agents and the models behind them. Developers use them through a managed API, and our forward deployed engineers take them into enterprise workflows.
The evaluation framework: orchestration, runtimes and observability. Researchers and forward deployed engineers bring the benchmarks, across web apps, desktop applications and the command line. Your job is to make the framework that runs them reliable, fast and cheap, and to make adding a new one quick. Research uses the results to choose checkpoints and decide whether a model ships. Product and the forward deployed engineers use them to measure agents on customer workflows. It carries roughly 50 benchmarks now. That number should be between 100 and 200 soon, and the framework has to keep up.
Integration support for researchers and forward deployed engineers bringing in a benchmark, with a shorter path each time.
Setting the standard for how a benchmark enters the framework, and building the checks that enforce it.
Scheduling and observability, so cluster capacity isn't left idle while evaluation jobs queue.
Reproducible results across trials, so a release decision rests on numbers that hold.
Whatever stack a benchmark calls for. One week that's cluster tuning; the next it's a browser extension or desktop environments.
Time with customers, from single developers to large companies, to find out what they want measured, then automating it so the results flow back into our harnesses and models.
By 3 months you'll have helped researchers or forward deployed engineers integrate 5 benchmarks, and started fixing what slows the framework down. By 6 months one part of it is yours, for example scaling the runs, observability, or a group of related benchmarks, and a release will have gone out on your numbers. By 12 months you'll know the design and trade-offs of the whole evaluation system, and be the person the rest of H asks about evaluations.
Ceiran Chapman, our VP Engineering, is hiring for this role. You'd join the evaluation team. The people relying on your work day to day are H's researchers and forward deployed engineers.
Likely a good fit if you
Have spent 5+ years in backend development, with production Python at the core, and use coding agents to go faster without letting quality drop.
Have built test, QA or evaluation tooling that other teams depended on, and care whether a number is right.
Have operated distributed systems on Kubernetes in a public cloud. AWS experience helps most.
Have built and shipped systems end to end, including APIs (REST or GraphQL) and integrations with outside services.
Know relational and non-relational databases, and message queues such as SQS, RabbitMQ or Kafka.
Instrument what you build, with metrics, tracing and monitoring from the start.
Stronger still if you have
Measured LLM quality before, or built agents yourself.
Packaged and run workloads in Docker and on virtual machines.
Used Temporal, Dask, FastAPI, PostgreSQL, Grafana or Datadog.
Automated web or desktop software with Playwright, Selenium or a browser extension you wrote.
Set standards other engineers follow, through code review, design review or mentoring.
You do not need a background in machine learning. We'll work that out with you. If you match most of this but not all of it, apply anyway.
A 30 minute call with our Talent team, a 60 minute technical challenge, a 60 minute system design interview, and a 30 minute final conversation with Ceiran. About 3.5 hours in total.
Paris posting: Hybrid in Paris. That means 3 office days a week and a London trip about once every 4 to 6 weeks. There is a London posting for the same role. We offer a competitive package.
","descriptionPlain":"ABOUT H:\n\nWhen we released Holo4 https://hcompany.ai/newsroom/holo4 on 28 September, we published every trajectory behind its public benchmark scores at trajectories.hcompany.ai http://trajectories.hcompany.ai. For OSWorld that's 369 desktop tasks, each run 3 times, with the steps, tokens and time of every attempt. This role builds and runs the evaluation framework that produces runs like these.\n\nH builds computer-use agents and the models behind them. Developers use them through a managed API https://hcompany.ai/newsroom/computer-use-agents-api, and our forward deployed engineers take them into enterprise workflows.\n\n \n\n\nWHAT THIS TEAM OWNS\n\nThe evaluation framework: orchestration, runtimes and observability. Researchers and forward deployed engineers bring the benchmarks, across web apps, desktop applications and the command line. Your job is to make the framework that runs them reliable, fast and cheap, and to make adding a new one quick. Research uses the results to choose checkpoints and decide whether a model ships. Product and the forward deployed engineers use them to measure agents on customer workflows. It carries roughly 50 benchmarks now. That number should be between 100 and 200 soon, and the framework has to keep up.\n\n \n\n\nWHAT YOU'D BE DOING\n\n - Integration support for researchers and forward deployed engineers bringing in a benchmark, with a shorter path each time.\n\n - Setting the standard for how a benchmark enters the framework, and building the checks that enforce it.\n\n - Scheduling and observability, so cluster capacity isn't left idle while evaluation jobs queue.\n\n - Reproducible results across trials, so a release decision rests on numbers that hold.\n\n - Whatever stack a benchmark calls for. One week that's cluster tuning; the next it's a browser extension or desktop environments.\n\n - Time with customers, from single developers to large companies, to find out what they want measured, then automating it so the results flow back into our harnesses and models.\n\n \n\n\nTHE FIRST FEW MONTHS\n\nBy 3 months you'll have helped researchers or forward deployed engineers integrate 5 benchmarks, and started fixing what slows the framework down. By 6 months one part of it is yours, for example scaling the runs, observability, or a group of related benchmarks, and a release will have gone out on your numbers. By 12 months you'll know the design and trade-offs of the whole evaluation system, and be the person the rest of H asks about evaluations.\n\n \n\n\nWHO YOU'D WORK WITH\n\nCeiran Chapman, our VP Engineering, is hiring for this role. You'd join the evaluation team. The people relying on your work day to day are H's researchers and forward deployed engineers.\n\n \n\n\nWHAT WE THINK IT TAKES\n\nLikely a good fit if you\n\n - Have spent 5+ years in backend development, with production Python at the core, and use coding agents to go faster without letting quality drop.\n\n - Have built test, QA or evaluation tooling that other teams depended on, and care whether a number is right.\n\n - Have operated distributed systems on Kubernetes in a public cloud. AWS experience helps most.\n\n - Have built and shipped systems end to end, including APIs (REST or GraphQL) and integrations with outside services.\n\n - Know relational and non-relational databases, and message queues such as SQS, RabbitMQ or Kafka.\n\n - Instrument what you build, with metrics, tracing and monitoring from the start.\n\nStronger still if you have\n\n - Measured LLM quality before, or built agents yourself.\n\n - Packaged and run workloads in Docker and on virtual machines.\n\n - Used Temporal, Dask, FastAPI, PostgreSQL, Grafana or Datadog.\n\n - Automated web or desktop software with Playwright, Selenium or a browser extension you wrote.\n\n - Set standards other engineers follow, through code review, design review or mentoring.\n\n \n\nYou do not need a background in machine learning. We'll work that out with you. If you match most of this but not all of it, apply anyway.\n\n \n\n\nHOW WE HIRE\n\nA 30 minute call with our Talent team, a 60 minute technical challenge, a 60 minute system design interview, and a 30 minute final conversation with Ceiran. About 3.5 hours in total.\n\n \n\n\nPRACTICALITIES\n\nParis posting: Hybrid in Paris. That means 3 office days a week and a London trip about once every 4 to 6 weeks. There is a London posting for the same role. We offer a competitive package."},{"id":"74ba3cdf-db78-4d7c-bb99-333cd856c2bf","title":"Social Media and Content Strategist - Community","department":"GTM","team":"Marketing & Communication","employmentType":"FullTime","location":"Hybrid Paris","secondaryLocations":[{"location":"Hybrid London","address":{"postalAddress":{"addressCountry":"United Kingdom"}}}],"publishedAt":"2026-10-16T14:34:49.151+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressCountry":"France","addressLocality":"Paris"}},"jobUrl":"https://jobs.ashbyhq.com/hcompany/74ba3cdf-db78-4d7c-bb99-333cd856c2bf","applyUrl":"https://jobs.ashbyhq.com/hcompany/74ba3cdf-db78-4d7c-bb99-333cd856c2bf/application","descriptionHtml":"H Company is an AI research and product company building autonomous agents for the enterprise. We combine proprietary models (Holo), computer-use agents, an orchestration platform and hands-on engineering into a single system designed for production use. Our agents operate any software the way a person does, with no API and no rebuilt stack. They rank #1 on OSWorld-Verified, the leading computer-use benchmark. We were born in Paris, with offices in London, New York and San Francisco. Our team of 100+ researchers and engineers work with enterprises on three continents.
Social media Community Management - Corporate + Leadership
Own H Company’s voice on social media and across its content. Turn AI research, product launches and Enterprise customer results into stories that tech and non-tech audience trust and share.
Define an audience targeted content strategy across social media platform to ensure H Company’s voice is understood by the right audience at the right place and the right time.
Redefine and constantly improve H Company’s tone of voice to dedicated social media communities.
Run H Company’s social and content strategy across LinkedIn, X, YouTube and the developer channels where our audience is, including Hugging Face and Discord.
Build and run a solid leadership members’ social media strategy across LinkedIn and X.
Plan and publish content every week: posts, threads, short video, launch campaigns and event coverage.
Turn technical releases (Holo models, benchmark results…) into clear, accurate stories, working directly with research and product.
Showcase customer use cases, such as agents running procurement, QA or back-office workflows, in formats that make the product easy to grasp.
Support launches, trade shows and events with the Product, Sales and Public Affairs teams.
Track performance, report on what works and adjust the plan.
Keep our brand voice and visual identity consistent, working with marketing and design
Long form content strategy and operations
Create long-form content to deep dive specific topics for H Company on Substack, our Tech blog and newsletters
Working across tech, sales and management, define and run a long form publication strategy
Define and evaluate key KPIs for interaction and improvements to ensure we stay consistent across all content platforms
Raise our social profile
Design and execute editorial initiatives: viral posts, original formats, and awareness campaigns.
Monitor trends and seize relevant news jacking opportunities.
2 to 6 years of experience in social media, content or communications, ideally in B2B tech, AI or a fast-growing startup.
Native-level English with excellent writing and storytelling. A portfolio of your work.
Real interest in AI, and the ability to explain complex technical topics to different audiences.
Experience running campaigns and using analytics to improve them: you have already created content that truly gained traction.
Comfort working across research, product, sales and leadership, and moving fast with little supervision.
Trustworthy: you will be working on the personal reputation of a senior executives.
Nice to have: short-form video editing, community experience with developers, French.
What success looks like: within 3 months, H Company has a clear editorial line, a regular publishing rhythm, and a visibly stronger, more engaged audience among our target enterprise and developer communities.
A freelance role, the role requires to be fully integrated to the teams.
A traditional community manager role focused on posting product updates three times a week. We are looking for someone who thinks strategically about reputation, brings original ideas, and understands the difference between visibility and impact.
This role is based in Paris (Grands Boulevards) or London (St Pancras).
Our teams work across USA, France and the UK. This role is hybrid, and you are expected to be in the office 3 days a week on average.
Join a European AI company at a pivotal moment, with real ownership over its public voice.
Direct access to leadership, the researchers and engineers building the technology.
Collaborative, multicultural team that works on AI and real life enterprise problems.
Competitive salary and equity.
Learning and growth, team hackathons, offsites and moments to celebrate wins together.
If you want to change the status quo in AI, join us.
","descriptionPlain":"H Company is an AI research and product company building autonomous agents for the enterprise. We combine proprietary models (Holo), computer-use agents, an orchestration platform and hands-on engineering into a single system designed for production use. Our agents operate any software the way a person does, with no API and no rebuilt stack. They rank #1 on OSWorld-Verified, the leading computer-use benchmark. We were born in Paris, with offices in London, New York and San Francisco. Our team of 100+ researchers and engineers work with enterprises on three continents.\n\n\n\n\nKEY RESPONSIBILITIES:\n\nSocial media Community Management - Corporate + Leadership\n\nOwn H Company’s voice on social media and across its content. Turn AI research, product launches and Enterprise customer results into stories that tech and non-tech audience trust and share.\n\n - Define an audience targeted content strategy across social media platform to ensure H Company’s voice is understood by the right audience at the right place and the right time.\n\n - Redefine and constantly improve H Company’s tone of voice to dedicated social media communities.\n\n - Run H Company’s social and content strategy across LinkedIn, X, YouTube and the developer channels where our audience is, including Hugging Face and Discord.\n\n - Build and run a solid leadership members’ social media strategy across LinkedIn and X.\n\n - Plan and publish content every week: posts, threads, short video, launch campaigns and event coverage.\n\n - Turn technical releases (Holo models, benchmark results…) into clear, accurate stories, working directly with research and product.\n\n - Showcase customer use cases, such as agents running procurement, QA or back-office workflows, in formats that make the product easy to grasp.\n\n - Support launches, trade shows and events with the Product, Sales and Public Affairs teams.\n\n - Track performance, report on what works and adjust the plan.\n\n - Keep our brand voice and visual identity consistent, working with marketing and design\n\n\n\nLong form content strategy and operations\n\nCreate long-form content to deep dive specific topics for H Company on Substack, our Tech blog and newsletters\n\n - Working across tech, sales and management, define and run a long form publication strategy\n\n - Define and evaluate key KPIs for interaction and improvements to ensure we stay consistent across all content platforms\n\n\n\nRaise our social profile\n\nDesign and execute editorial initiatives: viral posts, original formats, and awareness campaigns.\n\nMonitor trends and seize relevant news jacking opportunities.\n\n\n\n\nTHE H MINDSET - SHIP FAST, LEARN FASTER. SPEAK HONESTLY, ACT KINDLY.\n\n\n\n\nREQUIREMENTS:\n\n - 2 to 6 years of experience in social media, content or communications, ideally in B2B tech, AI or a fast-growing startup.\n\n - Native-level English with excellent writing and storytelling. A portfolio of your work.\n\n - Real interest in AI, and the ability to explain complex technical topics to different audiences.\n\n - Experience running campaigns and using analytics to improve them: you have already created content that truly gained traction.\n\n - Comfort working across research, product, sales and leadership, and moving fast with little supervision.\n\n - Trustworthy: you will be working on the personal reputation of a senior executives.\n\n - Nice to have: short-form video editing, community experience with developers, French.\n\n - What success looks like: within 3 months, H Company has a clear editorial line, a regular publishing rhythm, and a visibly stronger, more engaged audience among our target enterprise and developer communities.\n \n \n\n\nWHAT THIS ROLE IS NOT\n\nA freelance role, the role requires to be fully integrated to the teams.\n\nA traditional community manager role focused on posting product updates three times a week. We are looking for someone who thinks strategically about reputation, brings original ideas, and understands the difference between visibility and impact.\n\n\n\n\nLOCATION\n\nThis role is based in Paris (Grands Boulevards) or London (St Pancras). \n\nOur teams work across USA, France and the UK. This role is hybrid, and you are expected to be in the office 3 days a week on average.\n\n\n\n\nWHAT WE OFFER:\n\n - Join a European AI company at a pivotal moment, with real ownership over its public voice.\n\n - Direct access to leadership, the researchers and engineers building the technology.\n\n - Collaborative, multicultural team that works on AI and real life enterprise problems.\n\n - Competitive salary and equity.\n\n - Learning and growth, team hackathons, offsites and moments to celebrate wins together.\n\nIf you want to change the status quo in AI, join us."},{"id":"53ef301a-ba59-4352-b5f0-bb7f3b6dc9df","title":"Forward Deployed Engineer","department":"Deployment","team":"FDE","employmentType":"FullTime","location":"Hybrid Paris","secondaryLocations":[],"publishedAt":"2026-05-21T08:23:01.557+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressCountry":"France","addressLocality":"Paris"}},"jobUrl":"https://jobs.ashbyhq.com/hcompany/53ef301a-ba59-4352-b5f0-bb7f3b6dc9df","applyUrl":"https://jobs.ashbyhq.com/hcompany/53ef301a-ba59-4352-b5f0-bb7f3b6dc9df/application","descriptionHtml":"FORWARD DEPLOYED ENGINEER
What we're looking for:
• Individuals with impressive achievements and great technical skills, highly proficient in Python .
• Around 3 years of experience in AI with the ability to act autonomously and demonstrate real curiosity for AI.
• Customer-facing experience and confortable working alongside a customer.
• Great communication skills (in both French and English).
About H: H Company is a next-generation AI research and product company pioneering the future of autonomous, agentic AI. Founded to build intelligence that acts, H Company is creating the foundational infrastructure for autonomous AI systems that drive real-world outcomes across industries.
About the Team:
The Forward Deployed Team is committed to ensuring the successful implementation of our Agents to help our customer automate and optimize tasks, and allow them to focus on what really matters. The team is also responsible to shape the future vision of our products by distilling learnings from the field into the H platform.
That platform empowers a wide range of professionals and businesses to safely, easily and autonomously deploy agents at scale for a broad range of tasks: from ensuring websites behave as expected to automating repeated tasks.
Key Responsibilities:
Understand and identify customer’s most important and impactful multi-step task to automate
Seamlessly integrate with customer systems, including but not limited to databases, third-party APIs, and internal tools, etc.
Rapidly iterate in the field with tight feedback loops to continuously improve product fit and drive end-to-end solution delivery
Architect, build, and maintain production-grade services that scale with usage and complexity
Collaborate closely with product, research, and engineering teams to shape the roadmap and align on priorities based on findings in the field
Requirements:
3+ years of professional AI+software engineering experience, ideally in fast-paced environments (e.g., startups, consulting, or product teams), or otherwise proven technical acumen through projects and past experiences
Experience working with AI/ML systems, especially integrating LLMs or other agentic workflows into real products
Heavy fluency in Python and familiarity with Typescript
Familiarity with backend (FastAPI, Next.js…) and frontend (React…) frameworks and a good sense of UI/UX tradeoffs
Experience building and deploying production systems: APIs, services, infrastructure, and/or data pipelines
Proficiency in integrating third-party APIs, databases, and external systems in a secure and reliable way
Strong problem-solving skills and ability to thrive in ambiguous, customer-facing environments
Excellent communication skills, both written and verbal
Bias for action: able to ship quickly, iterate fast, and own the full lifecycle of solutions
Willingness to travel for on-site deployments or customer engagements
Location:
H's teams are distributed throughout Paris, France, London, UK, and the US.
What we offer:
Be part of the founding journey of one of the most exciting AI startups shaping the future of AI and agentic systems.
Collaborate with a fun, dynamic and multicultural team, working alongside world-class AI engineers, researchers, and builders in a high-trust, high-impact environment.
Enjoy a very competitive compensation package, including salary and equity.
","descriptionPlain":"FORWARD DEPLOYED ENGINEER\n\n \n\nWhat we're looking for:\n\n• Individuals with impressive achievements and great technical skills, highly proficient in Python .\n\n• Around 3 years of experience in AI with the ability to act autonomously and demonstrate real curiosity for AI.\n\n• Customer-facing experience and confortable working alongside a customer.\n\n• Great communication skills (in both French and English).\n\n\n\nAbout H: H Company is a next-generation AI research and product company pioneering the future of autonomous, agentic AI. Founded to build intelligence that acts, H Company is creating the foundational infrastructure for autonomous AI systems that drive real-world outcomes across industries.\n\n \n\nAbout the Team:\n\nThe Forward Deployed Team is committed to ensuring the successful implementation of our Agents to help our customer automate and optimize tasks, and allow them to focus on what really matters. The team is also responsible to shape the future vision of our products by distilling learnings from the field into the H platform.\n\n \n\nThat platform empowers a wide range of professionals and businesses to safely, easily and autonomously deploy agents at scale for a broad range of tasks: from ensuring websites behave as expected to automating repeated tasks.\n\n \n\nKey Responsibilities:\n\nUnderstand and identify customer’s most important and impactful multi-step task to automate\n\nSeamlessly integrate with customer systems, including but not limited to databases, third-party APIs, and internal tools, etc.\n\nRapidly iterate in the field with tight feedback loops to continuously improve product fit and drive end-to-end solution delivery\n\nArchitect, build, and maintain production-grade services that scale with usage and complexity\n\nCollaborate closely with product, research, and engineering teams to shape the roadmap and align on priorities based on findings in the field\n\nRequirements:\n\n3+ years of professional AI+software engineering experience, ideally in fast-paced environments (e.g., startups, consulting, or product teams), or otherwise proven technical acumen through projects and past experiences\n\nExperience working with AI/ML systems, especially integrating LLMs or other agentic workflows into real products\n\nHeavy fluency in Python and familiarity with Typescript\n\nFamiliarity with backend (FastAPI, Next.js…) and frontend (React…) frameworks and a good sense of UI/UX tradeoffs\n\nExperience building and deploying production systems: APIs, services, infrastructure, and/or data pipelines\n\nProficiency in integrating third-party APIs, databases, and external systems in a secure and reliable way\n\nStrong problem-solving skills and ability to thrive in ambiguous, customer-facing environments\n\nExcellent communication skills, both written and verbal\n\nBias for action: able to ship quickly, iterate fast, and own the full lifecycle of solutions\n\nWillingness to travel for on-site deployments or customer engagements\n\n \n\nLocation:\n\nH's teams are distributed throughout Paris, France, London, UK, and the US.\n\n \n\nWhat we offer:\n\nBe part of the founding journey of one of the most exciting AI startups shaping the future of AI and agentic systems.\n\nCollaborate with a fun, dynamic and multicultural team, working alongside world-class AI engineers, researchers, and builders in a high-trust, high-impact environment.\n\nEnjoy a very competitive compensation package, including salary and equity."},{"id":"4566a86e-8fdd-4b63-b08f-25c670211d25","title":"Deployment Strategist - US","department":"Deployment","team":"Implementation Strategist","employmentType":"FullTime","location":"Hybrid SF/Bay Area","secondaryLocations":[],"publishedAt":"2026-06-03T10:57:29.071+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/hcompany/4566a86e-8fdd-4b63-b08f-25c670211d25","applyUrl":"https://jobs.ashbyhq.com/hcompany/4566a86e-8fdd-4b63-b08f-25c670211d25/application","descriptionHtml":"DEPLOYMENT STRATEGIST
About H: H Company is a next-generation AI research and product company pioneering the future of autonomous, agentic AI. Founded to build intelligence that acts, H Company is creating the foundational infrastructure for autonomous AI systems that drive real-world outcomes across industries.
About the Team: The Deployment Strategist is the strategic link between customer and our engineering team. Your key stack is understand where the biggest customer problem stand and help find the right Agents to help our customer automate and optimize tasks, and allow them to focus on what really matters. The team is also responsible to shape the future vision of our products by distilling learnings from the field into the H platform.
That platform empowers a wide range of professionals and businesses to safely, easily and autonomously deploy agents at scale for a broad range of tasks: from ensuring websites behave as expected to automating repeated tasks.
Key Responsibilities:
Dig into the data to understand and identify customer’s most important and impactful multi-step task to automate
Be the Go To person for the customer
Partner with Forward Deployed Engineer to Seamlessly integrate our solutions
Coordinate trainings to ensure our solution best usage
Build and deliver demos and present results to strategic audience
Requirements:
3+ years of selling and implementing complex IT solutions to customers
A double curriculum in Business and Engineering school would be ideal
Technical Experience working with AI/ML systems would be appreciated
Fluency in at least one backend language (e.g., Python, Go, Node.js, Java) in addition to English ;-)
Strong problem-solving skills and ability to thrive in ambiguous, customer-facing environments
Excellent communication skills, both written and verbal
Bias for action—able to ship quickly, iterate fast, and own the full lifecycle of solutions
Willingness to travel for on-site deployments or customer engagements
Location:
H's teams are distributed throughout France, the UK, and the US
This role is currently in the US - Preferably in San Francisco Bay area, NY or Austin,
You are expected to travel up to 50% of the time
What We Offer:
Be part of the founding journey of one of the most exciting AI startups shaping the future of AI and agentic systems.
Collaborate with a fun, dynamic and multicultural team, working alongside world-class AI engineers, researchers, and builders in a high-trust, high-impact environment.
Enjoy a competitive compensation package, including salary and equity
Unlock opportunities for professional growth, continuous learning, and career development
FOUNDING FORWARD DEPLOYED ENGINEER
What we're looking for:
• Individuals with impressive achievements and great technical skills, highly proficient in Python .
• Around 3 years of experience in AI with the ability to act autonomously and demonstrate real curiosity for AI.
• Customer-facing experience and comfortable working alongside a customer.
• Excellent communication skills.
About H: H Company is a next-generation AI research and product company pioneering the future of autonomous, agentic AI. Founded to build intelligence that acts, H Company is creating the foundational infrastructure for autonomous AI systems that drive real-world outcomes across industries.
About the Team:
The Forward Deployed Team is committed to ensuring the successful implementation of our Agents to help our customer automate and optimize tasks, and allow them to focus on what really matters. The team is also responsible to shape the future vision of our products by distilling learnings from the field into the H platform.
That platform empowers a wide range of professionals and businesses to safely, easily and autonomously deploy agents at scale for a broad range of tasks: from ensuring websites behave as expected to automating repeated tasks.
Key Responsibilities:
Understand and identify customer’s most important and impactful multi-step task to automate
Seamlessly integrate with customer systems, including but not limited to databases, third-party APIs, and internal tools, etc.
Rapidly iterate in the field with tight feedback loops to continuously improve product fit and drive end-to-end solution delivery
Architect, build, and maintain production-grade services that scale with usage and complexity
Collaborate closely with product, research, and engineering teams to shape the roadmap and align on priorities based on findings in the field
Requirements:
3+ years of professional AI + software engineering experience, ideally in fast-paced environments (e.g., startups, consulting, or product teams), or otherwise proven technical acumen through projects and past experiences
Experience working with AI/ML systems, especially integrating LLMs or other agentic workflows into real products
Heavy fluency in Python and familiarity with Typescript
Familiarity with backend (FastAPI, Next.js…) and frontend (React…) frameworks and a good sense of UI/UX tradeoffs
Experience building and deploying production systems: APIs, services, infrastructure, and/or data pipelines
Proficiency in integrating third-party APIs, databases, and external systems in a secure and reliable way
Strong problem-solving skills and ability to thrive in ambiguous, customer-facing environments
Excellent communication skills, both written and verbal
Bias for action: able to ship quickly, iterate fast, and own the full lifecycle of solutions
Willingness to travel for on-site deployments or customer engagements
Location:
H's teams are distributed throughout Paris, France, London, UK, and the US.
This role can be based either in SF/Bay area-CA, Austin-TX, or NY.
What we offer:
Be part of the founding journey of one of the most exciting AI startups shaping the future of AI and agentic systems.
Collaborate with a fun, dynamic and multicultural team, working alongside world-class AI engineers, researchers, and builders in a high-trust, high-impact environment.
Enjoy a competitive compensation package, including equity.
FOUNDING FORWARD DEPLOYED ENGINEER
What we're looking for:
• Individuals with impressive achievements and great technical skills, highly proficient in Python .
• Around 3 years of experience in AI with the ability to act autonomously and demonstrate real curiosity for AI.
• Customer-facing experience and comfortable working alongside a customer.
• Excellent communication skills.
About H: H Company is a next-generation AI research and product company pioneering the future of autonomous, agentic AI. Founded to build intelligence that acts, H Company is creating the foundational infrastructure for autonomous AI systems that drive real-world outcomes across industries.
About the Team:
The Forward Deployed Team is committed to ensuring the successful implementation of our Agents to help our customer automate and optimize tasks, and allow them to focus on what really matters. The team is also responsible to shape the future vision of our products by distilling learnings from the field into the H platform.
That platform empowers a wide range of professionals and businesses to safely, easily and autonomously deploy agents at scale for a broad range of tasks: from ensuring websites behave as expected to automating repeated tasks.
Key Responsibilities:
Understand and identify customer’s most important and impactful multi-step task to automate
Seamlessly integrate with customer systems, including but not limited to databases, third-party APIs, and internal tools, etc.
Rapidly iterate in the field with tight feedback loops to continuously improve product fit and drive end-to-end solution delivery
Architect, build, and maintain production-grade services that scale with usage and complexity
Collaborate closely with product, research, and engineering teams to shape the roadmap and align on priorities based on findings in the field
Requirements:
3+ years of professional AI + software engineering experience, ideally in fast-paced environments (e.g., startups, consulting, or product teams), or otherwise proven technical acumen through projects and past experiences
Experience working with AI/ML systems, especially integrating LLMs or other agentic workflows into real products
Heavy fluency in Python and familiarity with Typescript
Familiarity with backend (FastAPI, Next.js…) and frontend (React…) frameworks and a good sense of UI/UX tradeoffs
Experience building and deploying production systems: APIs, services, infrastructure, and/or data pipelines
Proficiency in integrating third-party APIs, databases, and external systems in a secure and reliable way
Strong problem-solving skills and ability to thrive in ambiguous, customer-facing environments
Excellent communication skills, both written and verbal
Bias for action: able to ship quickly, iterate fast, and own the full lifecycle of solutions
Willingness to travel for on-site deployments or customer engagements
Location:
H's teams are distributed throughout Paris, France, London, UK, and the US.
This role can be based either in SF/Bay area-CA, Austin-TX, or NY.
What we offer:
Be part of the founding journey of one of the most exciting AI startups shaping the future of AI and agentic systems.
Collaborate with a fun, dynamic and multicultural team, working alongside world-class AI engineers, researchers, and builders in a high-trust, high-impact environment.
Enjoy a competitive compensation package, including equity.
About H:
H Company is a next-generation AI research and product company pioneering the future of autonomous, agentic AI. Founded to build intelligence that acts, H Company is creating the foundational infrastructure for autonomous AI systems that drive real-world outcomes across industries.
The Role
Today, H is known for its story: its founders, its funding rounds, its press. We want it to be known for its value. Content is how that shift happens, one piece at a time: the case study a CIO forwards to their COO, the white paper a board reads before a steering committee, the article an engineer shares because it is precise.
You will be our first Content Manager and reporting to the head of marketing. You'll own the global content strategy and production, hands in hands with the brand, lead gen and product marketing stakeholders, from thought leadership to customer proof.
Our brand stance is that of a pragmatic visionary: bold on vision, precise and evidence-led on capability. You'll write and edit in both registers, a bold \"vision voice\" and a precise \"capability voice\", so that every piece speaks the language of the boardroom and holds up to the scrutiny of a CTO/builder.
You'll work hand in hand with Product Marketing, Growth, Research, Sales, our FDE teams and Communications, and with our external agencies and freelancers.
Turn the new brand platform (positioning, tone of voice, messaging house) into a content strategy, an editorial line and a calendar by market (France, UK, US) and by audience (business C-levels and builders).
Own the core brand content: website copy, company narrative, brand and product pages, decks and event content, in line with the brand guidelines.
Set up the content system: templates, style guide, review and approval flows with Product, Research and Legal, and a library the whole GTM team can reuse.
Build our proof library: customer case studies, use-case stories and outcome numbers, working with Sales, FDE teams and customers.
Shift the content mix from founders and funding to product, value and customer outcomes.
Carry trust through proof: reliability, ownership, resilience and our research-first approach (we own our models, we are not a wrapper), explained without jargon.
Produce content for the brand plan: campaigns, flagship events, recurring PR moments and the brand side of our US launch.
Equip Growth with content that turns awareness into qualified relationships: ABM assets for target accounts, social selling content for our ambassadors, post-event follow-ups.
Work with Demand Generation on SEO/GEO so our content ranks in search and in AI answers.
Run our thought leadership on the execution gap in enterprise AI and \"AI that actually works\".
Lead the content of our academic and expert references: the Institute Polytechnique de Paris partnership, the COMEX40 white paper, and research with analysts and consulting firms (Gartner, HBR, BCG/McKinsey).
Run the content of our \"AI at work\" Program: articles, interviews and the editorial behind its executive dinners.
Partner with Product Marketing, who own use-case families and sales enablement: you shape the stories, they own the battlecards.
Partner with Communications, who own corporate communications and executive social media: you supply the substance, they amplify it.
Brief and manage freelancers and agencies (writers, designers, video) within your content budget.
5+ years in content, editorial or content marketing, in B2B tech enterprise (AI, SaaS, cloud or enterprise software).
You have built a content strategy and an editorial calendar from scratch, and you can show what it delivered (pipeline, rankings, reach, reuse by Sales).
You write exceptionally well, and you edit others just as well: you can make a researcher's idea readable for a board and a CEO's vision precise enough for an engineer.
You have produced long-form content for enterprise decision-makers: white papers, case studies, research reports, thought-leadership articles.
You are curious about deep tech and comfortable interviewing researchers, engineers and customers to get the real story and the real numbers.
You are organized and autonomous: you run several pieces at once, manage freelancers, and ship on time.
Fluent English is required; French is a strong plus.
You have written for an emerging category, where the words themselves were still being defined.
You have produced content for both European and US audiences and know how a story needs to flex from one market to the other.
You care about proof: case studies, customer voices and numbers matter more to you than slogans.
You know how content performs in search and in AI answers (SEO/GEO).
You are low ego and high ownership, and you like being the first member of a team that is being built.
Paris/London, hybrid: 3 days a week on average in our office (8 rue Sainte-Cécile, 75009) or with customers. Occasional travel to London and the US.
Join the early days of one of Europe's most ambitious AI companies, and shape the stories the world reads about it.
Real ownership: the first content role in a Brand team being built, with direct access to our researchers, engineers and leadership.
A team of world-class researchers, engineers and operators who ship.
Competitive salary and equity.
Benefits: health insurance, meal vouchers, transport
About H:
H Company is a next-generation AI research and product company pioneering the future of autonomous, agentic AI. Founded to build intelligence that acts, H Company is creating the foundational infrastructure for autonomous AI systems that drive real-world outcomes across industries.
Large enterprises find H through a referral, an event or a headline, and then they land on our website. Today that moment converts too little, and we can't fully measure it. Your mission is to make our website and online channels the first source of qualified enterprise pipeline for H, worldwide
You will own H's online engine, as a senior individual contributor in the Growth pillar of our marketing strategy, alongside Brand and Product Marketing. You'll lead the redesign of our website with a web agency, own its performance and conversion, build our organic visibility on search engines and in AI answers (SEO and GEO), and steer our paid agency on LinkedIn, Google and other channels.
Your focus is the enterprise funnel: C-level and IT decision-makers in large accounts, demo requests, and long sales cycles run with our Sales and FDE teams. Every choice you make is judged on one question: does it create qualified pipeline?
You'll work hand in hand with the Brand Lead (identity), the Content Manager (words), Sales and RevOps (HubSpot), and our external web and paid agencies.
Own the redesign of h.company end to end: brief, select and steer a web agency, from architecture and UX to build, launch and iteration.
Set the site's technical standards: CMS, performance, accessibility, security, and a multi-market setup (France, UK, US) that scales.
Own tracking, analytics and attribution, with a clean integration into HubSpot, so every visit, campaign and demo request can be traced to pipeline.
Decide the platform, architecture and conversion choices; the Brand Lead owns identity, the Content Manager owns copy.
Design the journeys that turn enterprise visitors into qualified demo requests, by persona (C-level, IT and business leaders) and by use case.
Run a continuous testing roadmap (A/B tests, landing pages, forms, demo flow) and decide what ships on evidence.
Work with Sales and RevOps on lead qualification and routing, so the leads you generate are the ones Sales wants.
Lead technical and strategic SEO: site health, information architecture, keyword strategy on enterprise AI and automation topics, international SEO.
Build our presence in AI answers (ChatGPT, Perplexity, Gemini, AI Overviews): experiment, measure our share of voice, and turn what works into a method.
Partner with the Content Manager on the content that ranks and gets cited.
Own paid strategy and budget, and steer our paid agency on LinkedIn, Google and other channels (Reddit included, where it serves the funnel).
Brief, challenge and arbitrate with a pipeline logic, not a click logic: cost per qualified lead, cost per opportunity, influence on target accounts.
Support account-based campaigns on our priority enterprise accounts with Sales.
Manage the digital budget and agencies (web, paid, freelancers).
Report on performance monthly: traffic, conversion, organic and AI visibility, paid efficiency, pipeline generated.
Use our own AI agents where they help, and test new tools before others do.
The new website is live, fast, multi-market, and fully tracked from first visit to opportunity in HubSpot.
Visitor-to-demo conversion has improved by [X], and the website is a top source of qualified enterprise pipeline.
H ranks and is cited, on search engines and in AI answers, on our priority enterprise AI topics.
Paid spend is measured against qualified pipeline, and cost per opportunity is under control.
6+ years in digital marketing, growth or web, including for a B2B SaaS or tech company selling to large enterprises.
You have led a website redesign end to end with an agency, and you can show what it changed in conversion and pipeline.
You have strong technical SEO skills, and you are already experimenting with visibility in AI answers and measuring it.
You have steered paid agencies on LinkedIn and Google with a B2B pipeline logic, and you know how to brief, challenge and arbitrate.
You master analytics, tracking and attribution, and you are at ease with HubSpot.
You are data-driven and hands-on: you build your own dashboards, read the numbers, and ship.
Fluent English is required; French is a strong plus.
You have built the online engine of a company selling to large enterprises, with long cycles and a few high-value deals.
You have run international SEO and sites across Europe and the US.
You are curious about how AI changes search, and you want to be among the first to crack it.
You care about proof: a test result or a pipeline number matters more to you than a vanity metric.
You are low ego and high ownership, and you like building from the ground up.
Paris, London hybrid: 3 days a week on average in our office. Occasional travel.
Join the early days of one of WW most ambitious AI companies, and build the engine that brings it its next customers.
Real ownership: the website, organic and paid channels are yours, with a direct line to leadership.
A playground few roles offer: an AI company where you can test AI search and our own agents first.
A team of world-class researchers, engineers and operators who ship.
Competitive salary and equity.
Benefits: health insurance, meal vouchers, transport.
Our agents act on computers for our customers, clicking through software and filling in fields, so our contracts have to answer some awkward questions. Who owns what an agent produces? Who answers when an output turns out to be wrong? Can customer data train our models? Our terms already take a position on all three, and they're public: read our general terms of service and our data processing agreement, both in French, under French law, and last updated in June 2026. This job is drafting and negotiating contracts like these, and keeping them current as the product and the law move.
H builds computer-use agents for enterprises, from Paris. In July 2026 we launched Computer-use Agents, fully managed agents that take actions on computers.
Our business teams bring in the deals. You'd write the paper behind them and lead the negotiation. When AI regulation or data protection law changes, you'd help work out what our contracts need to say now. You'd report to Julie Martinez, our General Counsel, who is also the data protection officer named in our DPA.
Drafting and advising on a wide range of contracts, AI service agreements among them, with customers, partners and suppliers.
Working through the other side's mark-up. Our general terms cap our liability on paid services at the higher of €100 or the previous 12 months' fees, for example. When a customer's lawyers push on it, you'd work out where we hold. Then you'd make the argument.
Turning new products and new AI law into contract changes and negotiation guidance. What we ship includes open-weight models: Holo3-35B-A3B is on Hugging Face under Apache 2.0, fine-tuned from Qwen3.5-35B-A3B.
Answering engineers and business teams on how to deploy AI within the rules. Customers can see on our Trust Center that we hold ISO 27001:2022, SOC 2 Type 1 and SOC 2 Type 2, and which subprocessors we use.
When needed, questions outside contracts: employment, corporate or competition law.
Julie Martinez, our General Counsel, is hiring for this role. You'd join our Legal team and work closely with engineers and business teams.
Likely a good fit if you
Hold a master's in law and are admitted to the bar.
Have a minimum of 3 to 5 years of relevant legal experience.
Know data protection law well (GDPR and the rules around it), along with IP, contract law and liability, and regulatory compliance.
Have worked somewhere that was growing fast.
Can explain a legal position plainly to an engineer. Work well on your own and adapt when plans change. An international outlook matters here too.
Stronger still if you built that experience negotiating contracts at a tech or AI company.
You do not need to have worked at an AI company before. If you match most of this but not all of it, apply anyway.
Three conversations. First a 30 minute call with our Talent team, then 30 minutes with Julie, and last a conversation with a member of our leadership team.
It's a hybrid job: you'd be in Paris with the team for three days in an average week. We offer a competitive package.
","descriptionPlain":"ABOUT H:\n\nOur agents act on computers for our customers, clicking through software and filling in fields, so our contracts have to answer some awkward questions. Who owns what an agent produces? Who answers when an output turns out to be wrong? Can customer data train our models? Our terms already take a position on all three, and they're public: read our general terms of service https://hcompany.ai/cgv and our data processing agreement https://hcompany.ai/dpa, both in French, under French law, and last updated in June 2026. This job is drafting and negotiating contracts like these, and keeping them current as the product and the law move.\n\nH builds computer-use agents for enterprises, from Paris. In July 2026 we launched Computer-use Agents https://hcompany.ai/newsroom/computer-use-agents-api, fully managed agents that take actions on computers.\n\n\n\n\nWHAT YOU OWN\n\nOur business teams bring in the deals. You'd write the paper behind them and lead the negotiation. When AI regulation or data protection law changes, you'd help work out what our contracts need to say now. You'd report to Julie Martinez, our General Counsel, who is also the data protection officer named in our DPA https://hcompany.ai/dpa.\n\n\n\n\nWHAT YOU'D BE DOING\n\n - Drafting and advising on a wide range of contracts, AI service agreements among them, with customers, partners and suppliers.\n\n - Working through the other side's mark-up. Our general terms cap our liability on paid services at the higher of €100 or the previous 12 months' fees, for example. When a customer's lawyers push on it, you'd work out where we hold. Then you'd make the argument.\n\n - Turning new products and new AI law into contract changes and negotiation guidance. What we ship includes open-weight models: Holo3-35B-A3B https://huggingface.co/Hcompany/Holo3-35B-A3B is on Hugging Face under Apache 2.0, fine-tuned from Qwen3.5-35B-A3B.\n\n - Answering engineers and business teams on how to deploy AI within the rules. Customers can see on our Trust Center https://trust.hcompany.ai that we hold ISO 27001:2022, SOC 2 Type 1 and SOC 2 Type 2, and which subprocessors we use.\n\n - When needed, questions outside contracts: employment, corporate or competition law.\n \n \n\n\nWHO YOU'D WORK WITH\n\nJulie Martinez, our General Counsel, is hiring for this role. You'd join our Legal team and work closely with engineers and business teams.\n\n\n\n\nWHAT WE THINK IT TAKES\n\nLikely a good fit if you\n\n - Hold a master's in law and are admitted to the bar.\n\n - Have a minimum of 3 to 5 years of relevant legal experience.\n\n - Know data protection law well (GDPR and the rules around it), along with IP, contract law and liability, and regulatory compliance.\n\n - Have worked somewhere that was growing fast.\n\n - Can explain a legal position plainly to an engineer. Work well on your own and adapt when plans change. An international outlook matters here too.\n\nStronger still if you built that experience negotiating contracts at a tech or AI company.\n\nYou do not need to have worked at an AI company before. If you match most of this but not all of it, apply anyway.\n\n\n\n\nHOW WE HIRE\n\nThree conversations. First a 30 minute call with our Talent team, then 30 minutes with Julie, and last a conversation with a member of our leadership team.\n\n\n\n\nPRACTICALITIES\n\nIt's a hybrid job: you'd be in Paris with the team for three days in an average week. We offer a competitive package."},{"id":"3cd5819c-4ab1-41ad-8b18-32e1b67c14cc","title":"Technical Lead, Observability - Paris","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"Hybrid Paris","secondaryLocations":[{"location":"Hybrid London","address":{"postalAddress":{"addressCountry":"United Kingdom"}}}],"publishedAt":"2026-10-08T10:50:40.339+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressCountry":"France","addressLocality":"Paris"}},"jobUrl":"https://jobs.ashbyhq.com/hcompany/3cd5819c-4ab1-41ad-8b18-32e1b67c14cc","applyUrl":"https://jobs.ashbyhq.com/hcompany/3cd5819c-4ab1-41ad-8b18-32e1b67c14cc/application","descriptionHtml":"You'll own observability across H: the strategy, technical design and rollout. Your work will give visibility of the entire stack and surface the information the company relies on to make key decisions and quantify progress.
H builds computer-use agents that take actions in browsers and desktop applications. This role covers every technical system we run.
The whole problem space. This is a lead role that stays hands-on: you will set the direction, design the stack, lead others through building it and work with internal teams on adoption. You'll be responsible for ensuring our teams measure what matters, and for learning our products and services in depth.
Setting one observability strategy that can be applied across teams and technical stacks
Owning the implementation of the systems that manage metrics, logs, traces, alerts and dashboards
Defining SLAs, SLOs and SLIs with our product, research and infrastructure teams
Building end-to-end visibility of system dependencies, providing visualisations for users and context for agents
Automating how we track coverage, reliability, alert quality and the cost of execution
By month 3, every H product has SLAs, SLOs and SLIs defined and measured in code, with compliance reports produced automatically. By month 6, a single complete solution covers metric collection, log processing and tracing. By month 12, every system at H uses the same SDKs and interfaces, whether for alarms, metrics, logs or traces.
You'll work with every team at H, across infrastructure, product, engineering and research. Our VP of Engineering is the hiring manager.
Likely a good fit if you
Have set the direction for a substantial piece of engineering work, delivered it and got other teams to adopt it.
Have built production instrumentation and telemetry integrations yourself.
Have defined both product-level and technical-level SLAs, SLOs and SLIs.
Have used SRE measurements such as error budgets, burn rates and MTTA/MTTR/MTTM.
Have built self-managed observability systems, such as OTEL, Prometheus, Grafana, Loki, Mimir, Alloy, Elasticsearch or Kibana.
Have worked with Kubernetes at scale, enterprise multi-tenancy, inference or asynchronous agent workflows.
You do not need any experience in AI. If you match most of this but not every point, don't hesitate to apply.
Four stages: a 30-minute call with our Talent team, a 60-minute technical assessment, a 60-minute system design interview and a closing 30-minute conversation with the hiring manager.
Our process is tailored to the requirements for this specific role: the system design interview and the technical assessment closely match the work you would be delivering from day one.
The role is hybrid, with three days a week in either our Paris or our London office and occasional travel between the two. We offer a competitive package.
","descriptionPlain":"You'll own observability across H: the strategy, technical design and rollout. Your work will give visibility of the entire stack and surface the information the company relies on to make key decisions and quantify progress.\n\nH builds computer-use agents that take actions in browsers and desktop applications. This role covers every technical system we run.\n\n\n\n\nWHAT YOU OWN\n\nThe whole problem space. This is a lead role that stays hands-on: you will set the direction, design the stack, lead others through building it and work with internal teams on adoption. You'll be responsible for ensuring our teams measure what matters, and for learning our products and services in depth.\n\n\n\n\nWHAT YOU'D BE DOING\n\n - Setting one observability strategy that can be applied across teams and technical stacks\n\n - Owning the implementation of the systems that manage metrics, logs, traces, alerts and dashboards\n\n - Defining SLAs, SLOs and SLIs with our product, research and infrastructure teams\n\n - Building end-to-end visibility of system dependencies, providing visualisations for users and context for agents\n\n - Automating how we track coverage, reliability, alert quality and the cost of execution\n\n\n\n\nTHE FIRST YEAR\n\nBy month 3, every H product has SLAs, SLOs and SLIs defined and measured in code, with compliance reports produced automatically. By month 6, a single complete solution covers metric collection, log processing and tracing. By month 12, every system at H uses the same SDKs and interfaces, whether for alarms, metrics, logs or traces.\n\n\n\n\nWHO YOU'D WORK WITH\n\nYou'll work with every team at H, across infrastructure, product, engineering and research. Our VP of Engineering is the hiring manager.\n\n\n\n\nWHAT WE THINK IT TAKES\n\nLikely a good fit if you\n\n - Have set the direction for a substantial piece of engineering work, delivered it and got other teams to adopt it.\n\n - Have built production instrumentation and telemetry integrations yourself.\n\n - Have defined both product-level and technical-level SLAs, SLOs and SLIs.\n\n - Have used SRE measurements such as error budgets, burn rates and MTTA/MTTR/MTTM.\n\n - Have built self-managed observability systems, such as OTEL, Prometheus, Grafana, Loki, Mimir, Alloy, Elasticsearch or Kibana.\n\n - Have worked with Kubernetes at scale, enterprise multi-tenancy, inference or asynchronous agent workflows.\n\nYou do not need any experience in AI. If you match most of this but not every point, don't hesitate to apply.\n\n\n\n\nHOW WE HIRE\n\nFour stages: a 30-minute call with our Talent team, a 60-minute technical assessment, a 60-minute system design interview and a closing 30-minute conversation with the hiring manager.\n\nOur process is tailored to the requirements for this specific role: the system design interview and the technical assessment closely match the work you would be delivering from day one.\n\n\n\n\nPRACTICALITIES\n\nThe role is hybrid, with three days a week in either our Paris or our London office and occasional travel between the two. We offer a competitive package."},{"id":"a7d9adb9-efc2-4419-885d-3ee19298933e","title":"Founder's Associate - CEO office","department":"Operations","team":"Operations","employmentType":"FullTime","location":"Hybrid Paris","secondaryLocations":[],"publishedAt":"2026-10-19T08:43:34.149+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressCountry":"France","addressLocality":"Paris"}},"jobUrl":"https://jobs.ashbyhq.com/hcompany/a7d9adb9-efc2-4419-885d-3ee19298933e","applyUrl":"https://jobs.ashbyhq.com/hcompany/a7d9adb9-efc2-4419-885d-3ee19298933e/application","descriptionHtml":"About H:
H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.
H is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute.
About the Team:
You’ll work alongside our CEO and make sure H follows through on every decision, relationship and commitment. This is a hands-on operator role. You’ll prepare our CEO for what’s coming, close the loop on what has happened, and run the projects that sit between teams. You’ll work closely with the CEO’s Executive Assistant.
Key Responsibilities:
Our CEO’s agenda: Prepare key meetings with context, bios, goals and talking points. Capture decisions and actions, and chase them until they’re done.
Relationships: Keep the CEO’s relationship tracker (investors, customers, partners, press) accurate. Every email, LinkedIn message and invitation gets a timely response, a named owner, or a polite decline.
Trips and events: Plan high-value schedules for trips and conferences, for example 6 to 8 qualified meetings in a city. Work with GTM leads to source the meetings and with the EA to get them into the CEO’s diary.
Memos and materials: Draft memos, briefs, all-hands slides and presentations that need little editing.
Visibility across teams: Gather updates from across the company, track how key priorities are progressing, and raise risks early with a proposed fix.
Ad hoc projects: Take on strategic projects as they come up and see them through to the end.
Requirements:
Technical Skills:
Around 2 to 5 years in strategy consulting, startup operations, VC, or a founder or associate role. We care more about what you’ve delivered than about the exact number of years.
Excellent written and spoken English and French.
Experience managing a high volume of competing priorities for a senior stakeholder.
Confident with modern tools (Notion, Google Workspace, CRMs, AI assistants).
Soft Skills:
You follow through on every yes and are selective about what you commit to.
You own the chase. “They didn’t get back to me” is never where it ends.
You come to meetings prepared, with data and updates in hand.
You bring a solution to every problem or blocker.
You get the right people involved at the right time, and your communication style is anchored in influencing without authority.
You know when to push back and when to knuckle down and deliver.
You’re calm, disciplined and organised, including when volume is high.
You handle confidential information with discretion.
Bonus Skills:
Experience building simple automations. You use AI and automation to remove manual work instead of adding to it.
What Success Looks Like After 90 Days:
No relationship falls through the cracks.
Every key meeting is prepped, followed up and tracked.
Our CEO spends no time on logistics or chasing people.
Location:
Paris or London.
This role is hybrid, and you are expected to be in the office 3 days a week on average.
Regular travel to the US and across Europe.
What We Offer:
Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups.
Collaborate with a fun, dynamic, and multicultural team, working alongside world-class AI talent in a highly collaborative environment.
Enjoy a competitive salary.
Unlock opportunities for professional growth, continuous learning, and career development.
If you want to change the status quo in AI, join us.
","descriptionPlain":"About H:\nH exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.\nH is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute.\n\nAbout the Team:\nYou’ll work alongside our CEO and make sure H follows through on every decision, relationship and commitment. This is a hands-on operator role. You’ll prepare our CEO for what’s coming, close the loop on what has happened, and run the projects that sit between teams. You’ll work closely with the CEO’s Executive Assistant.\n\n\n\nKey Responsibilities:\n\n - Our CEO’s agenda: Prepare key meetings with context, bios, goals and talking points. Capture decisions and actions, and chase them until they’re done.\n\n - Relationships: Keep the CEO’s relationship tracker (investors, customers, partners, press) accurate. Every email, LinkedIn message and invitation gets a timely response, a named owner, or a polite decline.\n\n - Trips and events: Plan high-value schedules for trips and conferences, for example 6 to 8 qualified meetings in a city. Work with GTM leads to source the meetings and with the EA to get them into the CEO’s diary.\n\n - Memos and materials: Draft memos, briefs, all-hands slides and presentations that need little editing.\n\n - Visibility across teams: Gather updates from across the company, track how key priorities are progressing, and raise risks early with a proposed fix.\n\n - Ad hoc projects: Take on strategic projects as they come up and see them through to the end.\n\nRequirements:\n\n - Technical Skills:\n \n - Around 2 to 5 years in strategy consulting, startup operations, VC, or a founder or associate role. We care more about what you’ve delivered than about the exact number of years.\n \n - Excellent written and spoken English and French.\n \n - Experience managing a high volume of competing priorities for a senior stakeholder.\n \n - Confident with modern tools (Notion, Google Workspace, CRMs, AI assistants).\n\n - Soft Skills:\n \n - You follow through on every yes and are selective about what you commit to.\n \n - You own the chase. “They didn’t get back to me” is never where it ends.\n \n - You come to meetings prepared, with data and updates in hand.\n \n - You bring a solution to every problem or blocker.\n \n - You get the right people involved at the right time, and your communication style is anchored in influencing without authority.\n \n - You know when to push back and when to knuckle down and deliver.\n \n - You’re calm, disciplined and organised, including when volume is high.\n \n - You handle confidential information with discretion.\n\n - Bonus Skills:\n \n - Experience building simple automations. You use AI and automation to remove manual work instead of adding to it.\n\n\n\nWhat Success Looks Like After 90 Days:\n\n - No relationship falls through the cracks.\n\n - Every key meeting is prepped, followed up and tracked.\n\n - Our CEO spends no time on logistics or chasing people.\n\n\n\nLocation:\n\n - Paris or London.\n\n - This role is hybrid, and you are expected to be in the office 3 days a week on average.\n\n - Regular travel to the US and across Europe.\n\n\n\nWhat We Offer:\n\n - Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups.\n\n - Collaborate with a fun, dynamic, and multicultural team, working alongside world-class AI talent in a highly collaborative environment.\n\n - Enjoy a competitive salary.\n\n - Unlock opportunities for professional growth, continuous learning, and career development.\n\nIf you want to change the status quo in AI, join us."},{"id":"0be828aa-2a86-4fb2-9bf8-79f82b60ec9a","title":"Deployment Strategist - US","department":"Deployment","team":"Implementation Strategist","employmentType":"FullTime","location":"Hybrid Austin","secondaryLocations":[],"publishedAt":"2026-10-06T14:29:36.195+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Texas","addressCountry":"United States","addressLocality":"Austin"}},"jobUrl":"https://jobs.ashbyhq.com/hcompany/0be828aa-2a86-4fb2-9bf8-79f82b60ec9a","applyUrl":"https://jobs.ashbyhq.com/hcompany/0be828aa-2a86-4fb2-9bf8-79f82b60ec9a/application","descriptionHtml":"DEPLOYMENT STRATEGIST
About H: H Company is a next-generation AI research and product company pioneering the future of autonomous, agentic AI. Founded to build intelligence that acts, H Company is creating the foundational infrastructure for autonomous AI systems that drive real-world outcomes across industries.
About the Team: The Deployment Strategist is the strategic link between customer and our engineering team. Your key stack is understand where the biggest customer problem stand and help find the right Agents to help our customer automate and optimize tasks, and allow them to focus on what really matters. The team is also responsible to shape the future vision of our products by distilling learnings from the field into the H platform.
That platform empowers a wide range of professionals and businesses to safely, easily and autonomously deploy agents at scale for a broad range of tasks: from ensuring websites behave as expected to automating repeated tasks.
Key Responsibilities:
Dig into the data to understand and identify customer’s most important and impactful multi-step task to automate
Be the Go To person for the customer
Partner with Forward Deployed Engineer to Seamlessly integrate our solutions
Coordinate trainings to ensure our solution best usage
Build and deliver demos and present results to strategic audience
Requirements:
3+ years of selling and implementing complex IT solutions to customers
A double curriculum in Business and Engineering school would be ideal
Technical Experience working with AI/ML systems would be appreciated
Fluency in at least one backend language (e.g., Python, Go, Node.js, Java) in addition to English ;-)
Strong problem-solving skills and ability to thrive in ambiguous, customer-facing environments
Excellent communication skills, both written and verbal
Bias for action—able to ship quickly, iterate fast, and own the full lifecycle of solutions
Willingness to travel for on-site deployments or customer engagements
Location:
H's teams are distributed throughout France, the UK, and the US
This role is currently in the US - Preferably in San Francisco Bay area, NY or Austin,
You are expected to travel up to 50% of the time
What We Offer:
Be part of the founding journey of one of the most exciting AI startups shaping the future of AI and agentic systems.
Collaborate with a fun, dynamic and multicultural team, working alongside world-class AI engineers, researchers, and builders in a high-trust, high-impact environment.
Enjoy a competitive compensation package, including salary and equity
Unlock opportunities for professional growth, continuous learning, and career development
DEPLOYMENT STRATEGIST
About H: H Company is a next-generation AI research and product company pioneering the future of autonomous, agentic AI. Founded to build intelligence that acts, H Company is creating the foundational infrastructure for autonomous AI systems that drive real-world outcomes across industries.
About the Team: The Deployment Strategist is the strategic link between customer and our engineering team. Your key stack is understand where the biggest customer problem stand and help find the right Agents to help our customer automate and optimize tasks, and allow them to focus on what really matters. The team is also responsible to shape the future vision of our products by distilling learnings from the field into the H platform.
That platform empowers a wide range of professionals and businesses to safely, easily and autonomously deploy agents at scale for a broad range of tasks: from ensuring websites behave as expected to automating repeated tasks.
Key Responsibilities:
Dig into the data to understand and identify customer’s most important and impactful multi-step task to automate
Be the Go To person for the customer
Partner with Forward Deployed Engineer to Seamlessly integrate our solutions
Coordinate trainings to ensure our solution best usage
Build and deliver demos and present results to strategic audience
Requirements:
3+ years of selling and implementing complex IT solutions to customers
A double curriculum in Business and Engineering school would be ideal
Technical Experience working with AI/ML systems would be appreciated
Fluency in at least one backend language (e.g., Python, Go, Node.js, Java) in addition to English ;-)
Strong problem-solving skills and ability to thrive in ambiguous, customer-facing environments
Excellent communication skills, both written and verbal
Bias for action—able to ship quickly, iterate fast, and own the full lifecycle of solutions
Willingness to travel for on-site deployments or customer engagements
Location:
H's teams are distributed throughout France, the UK, and the US
This role is currently in the US - Preferably in San Francisco Bay area, NY or Austin,
You are expected to travel up to 50% of the time
What We Offer:
Be part of the founding journey of one of the most exciting AI startups shaping the future of AI and agentic systems.
Collaborate with a fun, dynamic and multicultural team, working alongside world-class AI engineers, researchers, and builders in a high-trust, high-impact environment.
Enjoy a competitive compensation package, including salary and equity
Unlock opportunities for professional growth, continuous learning, and career development
You'll be joining the team responsible for the infrastructure behind all of H's products: clusters, networking and security. It's the foundation that lets the rest of the company deliver value directly to customers.
From your first quarter, you'll own a real piece of our move from AWS to an environment-agnostic platform. The team moves fast and the problems are novel: each model release and each new customer changes what the infrastructure has to support.
Running and scaling Kubernetes clusters and networking
Building authentication and authorization systems
Refactoring the stack to be environment agnostic
Speeding up deployment for our Forward Deployed Engineers (FDEs)
Building Kubernetes-native services, such as controllers and operators
Writing and maintaining infrastructure as code
The role sits in the Infrastructure team, with our VP of Engineering as hiring manager. Your users are H's product and platform engineers and, through our FDEs, our external customers.
You're likely a good fit if you:
Write Python or Go well enough to solve real problems with it
Have built and operated a Kubernetes-based platform at significant scale and can put numbers on its clusters, services and users
Have worked with more than one cloud provider (AWS, Azure, GCP), or have strong knowledge of fundamental systems engineering (Linux, eBPF)
Have built and owned infrastructure as code, CI/CD and observability
Stronger still if you have:
Worked with complex network topologies (multi-cluster, dual-stack) and CNIs such as Cilium or Calico
Handled petabyte-scale data, or high-frequency, latency-sensitive workloads
Worked with agentic systems, particularly in security
Worked with GPUs and tools such as Dynamo, vLLM or SGLang
Five stages, about 3.5 hours in all: a 30-minute call with our Talent team, a 30-minute conversation with the lead of the Infrastructure team, a 60-minute coding interview, a 60-minute system design interview and a closing 30-minute conversation with our VP of Engineering.
The role is hybrid, with three days a week in our Paris or London office. We offer a competitive package.
","descriptionPlain":"You'll be joining the team responsible for the infrastructure behind all of H's products: clusters, networking and security. It's the foundation that lets the rest of the company deliver value directly to customers.\n\n\n\n\nWHAT YOU'LL OWN\n\nFrom your first quarter, you'll own a real piece of our move from AWS to an environment-agnostic platform. The team moves fast and the problems are novel: each model release and each new customer changes what the infrastructure has to support.\n\n\n\n\nWHAT YOU'LL BE DOING\n\n - Running and scaling Kubernetes clusters and networking\n\n - Building authentication and authorization systems\n\n - Refactoring the stack to be environment agnostic\n\n - Speeding up deployment for our Forward Deployed Engineers (FDEs)\n\n - Building Kubernetes-native services, such as controllers and operators\n\n - Writing and maintaining infrastructure as code\n\n\n\n\nYOUR TEAM AND YOUR USERS\n\nThe role sits in the Infrastructure team, with our VP of Engineering as hiring manager. Your users are H's product and platform engineers and, through our FDEs, our external customers.\n\n\n\n\nWHAT WE THINK IT TAKES\n\nYou're likely a good fit if you:\n\n - Write Python or Go well enough to solve real problems with it\n\n - Have built and operated a Kubernetes-based platform at significant scale and can put numbers on its clusters, services and users\n\n - Have worked with more than one cloud provider (AWS, Azure, GCP), or have strong knowledge of fundamental systems engineering (Linux, eBPF)\n\n - Have built and owned infrastructure as code, CI/CD and observability\n\nStronger still if you have:\n\n - Worked with complex network topologies (multi-cluster, dual-stack) and CNIs such as Cilium or Calico\n\n - Handled petabyte-scale data, or high-frequency, latency-sensitive workloads\n\n - Worked with agentic systems, particularly in security\n\n - Worked with GPUs and tools such as Dynamo, vLLM or SGLang\n \n \n\n\nHOW WE HIRE\n\nFive stages, about 3.5 hours in all: a 30-minute call with our Talent team, a 30-minute conversation with the lead of the Infrastructure team, a 60-minute coding interview, a 60-minute system design interview and a closing 30-minute conversation with our VP of Engineering.\n\n\n\n\nPRACTICALITIES\n\nThe role is hybrid, with three days a week in our Paris or London office. We offer a competitive package."},{"id":"d74ae90b-47ce-40ad-89bc-38dd36db2249","title":"Infrastructure Engineer (Platform) - Paris","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"Hybrid Paris","secondaryLocations":[{"location":"Hybrid London","address":{"postalAddress":{"addressCountry":"United Kingdom"}}}],"publishedAt":"2026-10-08T10:48:08.815+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressCountry":"France","addressLocality":"Paris"}},"jobUrl":"https://jobs.ashbyhq.com/hcompany/d74ae90b-47ce-40ad-89bc-38dd36db2249","applyUrl":"https://jobs.ashbyhq.com/hcompany/d74ae90b-47ce-40ad-89bc-38dd36db2249/application","descriptionHtml":"You'll be joining the team responsible for the infrastructure behind all of H's products: clusters, networking and security. It's the foundation that lets the rest of the company deliver value directly to customers.
From your first quarter, you'll own a real piece of our move from AWS to an environment-agnostic platform. The team moves fast and the problems are novel: each model release and each new customer changes what the infrastructure has to support.
Running and scaling Kubernetes clusters and networking
Building authentication and authorization systems
Refactoring the stack to be environment agnostic
Speeding up deployment for our Forward Deployed Engineers (FDEs)
Building Kubernetes-native services, such as controllers and operators
Writing and maintaining infrastructure as code
The role sits in the Infrastructure team, with our VP of Engineering as hiring manager. Your users are H's product and platform engineers and, through our FDEs, our external customers.
You're likely a good fit if you:
Write Python or Go well enough to solve real problems with it
Have built and operated a Kubernetes-based platform at significant scale and can put numbers on its clusters, services and users
Have worked with more than one cloud provider (AWS, Azure, GCP), or have strong knowledge of fundamental systems engineering (Linux, eBPF)
Have built and owned infrastructure as code, CI/CD and observability
Stronger still if you have:
Worked with complex network topologies (multi-cluster, dual-stack) and CNIs such as Cilium or Calico
Handled petabyte-scale data, or high-frequency, latency-sensitive workloads
Worked with agentic systems, particularly in security
Worked with GPUs and tools such as Dynamo, vLLM or SGLang
Five stages, about 3.5 hours in all: a 30-minute call with our Talent team, a 30-minute conversation with the lead of the Infrastructure team, a 60-minute coding interview, a 60-minute system design interview and a closing 30-minute conversation with our VP of Engineering.
The role is hybrid, with three days a week in our Paris or London office. We offer a competitive package.
","descriptionPlain":"You'll be joining the team responsible for the infrastructure behind all of H's products: clusters, networking and security. It's the foundation that lets the rest of the company deliver value directly to customers.\n\n\n\n\nWHAT YOU'LL OWN\n\nFrom your first quarter, you'll own a real piece of our move from AWS to an environment-agnostic platform. The team moves fast and the problems are novel: each model release and each new customer changes what the infrastructure has to support.\n\n\n\n\nWHAT YOU'LL BE DOING\n\n - Running and scaling Kubernetes clusters and networking\n\n - Building authentication and authorization systems\n\n - Refactoring the stack to be environment agnostic\n\n - Speeding up deployment for our Forward Deployed Engineers (FDEs)\n\n - Building Kubernetes-native services, such as controllers and operators\n\n - Writing and maintaining infrastructure as code\n\n\n\n\nYOUR TEAM AND YOUR USERS\n\nThe role sits in the Infrastructure team, with our VP of Engineering as hiring manager. Your users are H's product and platform engineers and, through our FDEs, our external customers.\n\n\n\n\nWHAT WE THINK IT TAKES\n\nYou're likely a good fit if you:\n\n - Write Python or Go well enough to solve real problems with it\n\n - Have built and operated a Kubernetes-based platform at significant scale and can put numbers on its clusters, services and users\n\n - Have worked with more than one cloud provider (AWS, Azure, GCP), or have strong knowledge of fundamental systems engineering (Linux, eBPF)\n\n - Have built and owned infrastructure as code, CI/CD and observability\n\nStronger still if you have:\n\n - Worked with complex network topologies (multi-cluster, dual-stack) and CNIs such as Cilium or Calico\n\n - Handled petabyte-scale data, or high-frequency, latency-sensitive workloads\n\n - Worked with agentic systems, particularly in security\n\n - Worked with GPUs and tools such as Dynamo, vLLM or SGLang\n \n \n\n\nHOW WE HIRE\n\nFive stages, about 3.5 hours in all: a 30-minute call with our Talent team, a 30-minute conversation with the lead of the Infrastructure team, a 60-minute coding interview, a 60-minute system design interview and a closing 30-minute conversation with our VP of Engineering.\n\n\n\n\nPRACTICALITIES\n\nThe role is hybrid, with three days a week in our Paris or London office. We offer a competitive package."},{"id":"b4bbe4c8-bade-43a5-aaa0-535b8835c4dc","title":"Technical Lead, Observability - London","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"Hybrid London","secondaryLocations":[{"location":"Hybrid Paris","address":{"postalAddress":{"addressCountry":"France","addressLocality":"Paris"}}}],"publishedAt":"2026-10-08T10:50:30.045+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressCountry":"United Kingdom"}},"jobUrl":"https://jobs.ashbyhq.com/hcompany/b4bbe4c8-bade-43a5-aaa0-535b8835c4dc","applyUrl":"https://jobs.ashbyhq.com/hcompany/b4bbe4c8-bade-43a5-aaa0-535b8835c4dc/application","descriptionHtml":"You'll own observability across H: the strategy, technical design and rollout. Your work will give visibility of the entire stack and surface the information the company relies on to make key decisions and quantify progress.
H builds computer-use agents that take actions in browsers and desktop applications. This role covers every technical system we run.
The whole problem space. This is a lead role that stays hands-on: you will set the direction, design the stack, lead others through building it and work with internal teams on adoption. You'll be responsible for ensuring our teams measure what matters, and for learning our products and services in depth.
Setting one observability strategy that can be applied across teams and technical stacks
Owning the implementation of the systems that manage metrics, logs, traces, alerts and dashboards
Defining SLAs, SLOs and SLIs with our product, research and infrastructure teams
Building end-to-end visibility of system dependencies, providing visualisations for users and context for agents
Automating how we track coverage, reliability, alert quality and the cost of execution
By month 3, every H product has SLAs, SLOs and SLIs defined and measured in code, with compliance reports produced automatically. By month 6, a single complete solution covers metric collection, log processing and tracing. By month 12, every system at H uses the same SDKs and interfaces, whether for alarms, metrics, logs or traces.
You'll work with every team at H, across infrastructure, product, engineering and research. Our VP of Engineering is the hiring manager.
Likely a good fit if you
Have set the direction for a substantial piece of engineering work, delivered it and got other teams to adopt it.
Have built production instrumentation and telemetry integrations yourself.
Have defined both product-level and technical-level SLAs, SLOs and SLIs.
Have used SRE measurements such as error budgets, burn rates and MTTA/MTTR/MTTM.
Have built self-managed observability systems, such as OTEL, Prometheus, Grafana, Loki, Mimir, Alloy, Elasticsearch or Kibana.
Have worked with Kubernetes at scale, enterprise multi-tenancy, inference or asynchronous agent workflows.
You do not need any experience in AI. If you match most of this but not every point, don't hesitate to apply.
Four stages: a 30-minute call with our Talent team, a 60-minute technical assessment, a 60-minute system design interview and a closing 30-minute conversation with the hiring manager.
Our process is tailored to the requirements for this specific role: the system design interview and the technical assessment closely match the work you would be delivering from day one.
The role is hybrid, with three days a week in either our Paris or our London office and occasional travel between the two. We offer a competitive package.
","descriptionPlain":"You'll own observability across H: the strategy, technical design and rollout. Your work will give visibility of the entire stack and surface the information the company relies on to make key decisions and quantify progress.\n\nH builds computer-use agents that take actions in browsers and desktop applications. This role covers every technical system we run.\n\n\n\n\nWHAT YOU OWN\n\nThe whole problem space. This is a lead role that stays hands-on: you will set the direction, design the stack, lead others through building it and work with internal teams on adoption. You'll be responsible for ensuring our teams measure what matters, and for learning our products and services in depth.\n\n\n\n\nWHAT YOU'D BE DOING\n\n - Setting one observability strategy that can be applied across teams and technical stacks\n\n - Owning the implementation of the systems that manage metrics, logs, traces, alerts and dashboards\n\n - Defining SLAs, SLOs and SLIs with our product, research and infrastructure teams\n\n - Building end-to-end visibility of system dependencies, providing visualisations for users and context for agents\n\n - Automating how we track coverage, reliability, alert quality and the cost of execution\n\n\n\n\nTHE FIRST YEAR\n\nBy month 3, every H product has SLAs, SLOs and SLIs defined and measured in code, with compliance reports produced automatically. By month 6, a single complete solution covers metric collection, log processing and tracing. By month 12, every system at H uses the same SDKs and interfaces, whether for alarms, metrics, logs or traces.\n\n\n\n\nWHO YOU'D WORK WITH\n\nYou'll work with every team at H, across infrastructure, product, engineering and research. Our VP of Engineering is the hiring manager.\n\n\n\n\nWHAT WE THINK IT TAKES\n\nLikely a good fit if you\n\n - Have set the direction for a substantial piece of engineering work, delivered it and got other teams to adopt it.\n\n - Have built production instrumentation and telemetry integrations yourself.\n\n - Have defined both product-level and technical-level SLAs, SLOs and SLIs.\n\n - Have used SRE measurements such as error budgets, burn rates and MTTA/MTTR/MTTM.\n\n - Have built self-managed observability systems, such as OTEL, Prometheus, Grafana, Loki, Mimir, Alloy, Elasticsearch or Kibana.\n\n - Have worked with Kubernetes at scale, enterprise multi-tenancy, inference or asynchronous agent workflows.\n\nYou do not need any experience in AI. If you match most of this but not every point, don't hesitate to apply.\n\n\n\n\nHOW WE HIRE\n\nFour stages: a 30-minute call with our Talent team, a 60-minute technical assessment, a 60-minute system design interview and a closing 30-minute conversation with the hiring manager.\n\nOur process is tailored to the requirements for this specific role: the system design interview and the technical assessment closely match the work you would be delivering from day one.\n\n\n\n\nPRACTICALITIES\n\nThe role is hybrid, with three days a week in either our Paris or our London office and occasional travel between the two. We offer a competitive package."},{"id":"c1c1c918-9693-427e-a5b0-833d96daa91e","title":"Brand Lead","department":"GTM","team":"Marketing & Communication","employmentType":"FullTime","location":"Hybrid Paris","secondaryLocations":[{"location":"Hybrid London","address":{"postalAddress":{"addressCountry":"United Kingdom"}}}],"publishedAt":"2026-10-07T14:33:43.641+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressCountry":"France","addressLocality":"Paris"}},"jobUrl":"https://jobs.ashbyhq.com/hcompany/c1c1c918-9693-427e-a5b0-833d96daa91e","applyUrl":"https://jobs.ashbyhq.com/hcompany/c1c1c918-9693-427e-a5b0-833d96daa91e/application","descriptionHtml":"About H:
H Company is a next-generation AI research and product company pioneering the future of autonomous, agentic AI. Founded to build intelligence that acts, H Company is creating the foundational infrastructure for autonomous AI systems that drive real-world outcomes across industries.
Today, H is known for its story: its founders, its funding rounds, its press. We want it to be known for its value. Your mission is to make H one of the top 3 brands that large-enterprise decision-makers think of in enterprise AI, in France first, then in the US.
You will be our first Head of Brand, and the owner of the Brand pillar of our marketing strategy, alongside Growth and Product Marketing. You'll take over a brand foundation that is being shaped right now (positioning, identity, messaging house) and turn it into a brand that holds for the next five years in a market that reinvents itself every quarter.
Our brand stance is that of a pragmatic visionary: bold on vision, precise and evidence-led on capability. You'll be the guardian of that balance, making sure every piece of work speaks the language of the boardroom and holds up to the scrutiny of a CTO/builder.
You'll work hand in hand with leadership, Product, Research, Sales, our FDE teams and Communications, and with our external brand and PR agencies.
Take ownership of the new brand platform: positioning, identity, tone of voice and messaging house, and drive its rollout internally and externally.
Turn our convictions into a story that is ours: what we believe, why we exist, what makes our approach to enterprise problems unique.
Build a brand system that flexes by market (France, UK, US) without losing coherence, and that separates our two registers: a bold \"vision voice\" and a precise \"capability voice\".
Set and enforce brand guidelines across every touchpoint: website, decks, events, product, recruiting.
Move the public conversation about H from founders and funding to product, value and customer outcomes.
Make trust a brand signal: reliability, ownership, resilience and our research-first approach (we own our models, we are not a wrapper), carried through proof rather than claims.
Co-own reputation with Communications: Brand defines the positioning, Communications amplifies it through PR and executive voice.
Design the brand plan that puts H in front of large-account decision-makers: flagship events, recurring PR moments, ecosystem programmes, content and campaigns.
Prepare and lead the brand side of our US launch.
Partner with Growth so awareness turns into qualified relationships and pipeline.
Grow H's thought leadership around the execution gap in enterprise AI and \"AI that actually works\".
Lead strategic sponsorships and labels (e.g. Institut Polytechnique de Paris, our Resilient AI label) and partnerships with academics and consulting firms.
Manage brand budget and agencies (brand studio, freelancers).
Ensure brand integrity
Track and show the awareness impact
5+ years in brand, marketing or communications, including for a B2B Saas tech company
You have led a brand repositioning or relaunch end to end, from strategy to rollout, and can show what it changed.
You have built awareness among enterprise decision-makers, and you have measured it (brand tracking, share of voice, consideration).
You understand deep tech well enough to translate it for a board without dumbing it down, and to defend it in front of engineers.
You are as comfortable with a CEO and a leadership team as with a brand studio or a PR agency, and you know how to brief, challenge and arbitrate.
You think in systems and act in details: a clear strategy, a sharp eye for craft, and a bias for shipping.
Fluent English is required; French is a strong plus.
You have built a brand in an emerging category, where the words themselves were still being defined.
You have worked across Europe and the US and know how a story needs to flex from one market to the other.
You care about proof: case studies, customer voices and numbers matter more to you than slogans.
You are low ego and high ownership, and you like building a team and a function from the ground up.
Paris/London, hybrid: 3 days a week on average in our office (8 rue Sainte-Cécile, 75009) or with customers. Regular travel to London and the US.
Join the early days of one of Europe's most ambitious AI companies, and shape how the world sees it.
Real ownership: a seat at the table with leadership and a function to build.
A team of world-class researchers, engineers and operators who ship.
Competitive salary and equity.
Benefits: health insurance, meal vouchers, transport
As a Product Designer, you'll work on the H Platform, where our users create and run agentic AI workflows powered by our models. Nobody has written the playbook for designing these experiences yet. Our next stage is making the platform truly useful for its users and levelling it up, in design as much as in technology, and you'll build the product experiences that deliver real value in organisations.
At H Company, we believe AI should take action in the real world, and our mission is to make agentic AI genuinely useful for large organisations. We're pioneers in computer use: our own vision-language models power agents that see, click and type their way through the software businesses already run, with no integrations or rebuilds, and we own the whole stack, from research and models to the products built on top of them.
Talking to our users constantly to understand their needs and figure out what will make the platform truly useful for them.
Turning those insights into research and explorations, looking at problems from different angles before settling on a direction.
Picking the right tool for each task: a Figma design, a prototype, or a small PR when a quick change is the fastest way to ship.
Testing what you build with users, measuring its impact (A/B testing, user interviews, users daily use data...) and iterating quickly based on what you learn.
Shaping the roadmap together with the whole team, engineers and PMs alike.
The role sits in our Product team, which is responsible for product direction, strategy and design. You'll join the product designer who owns design and UX today, and work closely with product, engineering and forward deployed engineers.
Above all, we want someone who cares deeply about users, has great product taste and can explain it, moves fast while keeping quality high, leaves their ego at the door and welcomes feedback.
Likely a good fit if you
Have 5+ years of experience as a Product Designer at tech companies.
Have excellent UX, UI and interaction design skills, and can make complex, technical flows, like building and running AI agent workflows, feel simple and intuitive.
Have a portfolio that shows your latest work.
Have hands-on experience running user tests and A/B tests.
Know when a proven solution is good enough and when a problem deserves something new.
Have designed complex data or ML/AI-driven products: you know how to make complex systems understandable and how to design for AI behaviour that isn't always predictable, building trust and keeping users in control.
Are comfortable in technical discussions: you can dig into constraints and trade-offs with engineers and ramp up quickly on technical topics to discuss them with our researchers and more technical engineers.
Are fluent in Figma.
Can work within a design system and contribute to it.
Stronger still if you
Have designed platforms: complex B2B web or desktop software used by professionals, whether that's tools to build and run workflows, big data and analytics software, operational dashboards or other data-dense interfaces.
Are curious about code and AI in your design workflow. Every design team is still figuring out how AI changes the way we work, and we're no different, so we'd love someone who has started experimenting, whether by prototyping in code, building small tools or bringing AI into their process, and who wants to keep exploring with us.
If you match most of this but not every point, apply anyway. We care far more about how you think, your curiosity and your care for users than a perfect match.
Four stages: a 30-minute call with our Talent team, a 60-minute portfolio review, a 60-minute design interview in person at our London office, and a closing 30-minute conversation.
The portfolio review and design interview are built around your own work and how you design. Please apply with your CV and a link to your portfolio showing your latest work.
","descriptionPlain":"As a Product Designer, you'll work on the H Platform, where our users create and run agentic AI workflows powered by our models. Nobody has written the playbook for designing these experiences yet. Our next stage is making the platform truly useful for its users and levelling it up, in design as much as in technology, and you'll build the product experiences that deliver real value in organisations.\n\nAt H Company, we believe AI should take action in the real world, and our mission is to make agentic AI genuinely useful for large organisations. We're pioneers in computer use: our own vision-language models power agents that see, click and type their way through the software businesses already run, with no integrations or rebuilds, and we own the whole stack, from research and models to the products built on top of them.\n\n\n\n\nWHAT YOU'LL BE DOING\n\n - Talking to our users constantly to understand their needs and figure out what will make the platform truly useful for them.\n\n - Turning those insights into research and explorations, looking at problems from different angles before settling on a direction.\n\n - Picking the right tool for each task: a Figma design, a prototype, or a small PR when a quick change is the fastest way to ship.\n\n - Testing what you build with users, measuring its impact (A/B testing, user interviews, users daily use data...) and iterating quickly based on what you learn.\n\n - Shaping the roadmap together with the whole team, engineers and PMs alike.\n\n\n\n\nWHO YOU'LL WORK WITH\n\nThe role sits in our Product team, which is responsible for product direction, strategy and design. You'll join the product designer who owns design and UX today, and work closely with product, engineering and forward deployed engineers.\n\n\n\n\nWHAT WE THINK IT TAKES\n\nAbove all, we want someone who cares deeply about users, has great product taste and can explain it, moves fast while keeping quality high, leaves their ego at the door and welcomes feedback.\n\n\n\nLikely a good fit if you\n\n - Have 5+ years of experience as a Product Designer at tech companies.\n\n - Have excellent UX, UI and interaction design skills, and can make complex, technical flows, like building and running AI agent workflows, feel simple and intuitive.\n\n - Have a portfolio that shows your latest work.\n\n - Have hands-on experience running user tests and A/B tests.\n\n - Know when a proven solution is good enough and when a problem deserves something new.\n\n - Have designed complex data or ML/AI-driven products: you know how to make complex systems understandable and how to design for AI behaviour that isn't always predictable, building trust and keeping users in control.\n\n - Are comfortable in technical discussions: you can dig into constraints and trade-offs with engineers and ramp up quickly on technical topics to discuss them with our researchers and more technical engineers.\n\n - Are fluent in Figma.\n\n - Can work within a design system and contribute to it.\n\nStronger still if you\n\n - Have designed platforms: complex B2B web or desktop software used by professionals, whether that's tools to build and run workflows, big data and analytics software, operational dashboards or other data-dense interfaces.\n\n - Are curious about code and AI in your design workflow. Every design team is still figuring out how AI changes the way we work, and we're no different, so we'd love someone who has started experimenting, whether by prototyping in code, building small tools or bringing AI into their process, and who wants to keep exploring with us.\n\nIf you match most of this but not every point, apply anyway. We care far more about how you think, your curiosity and your care for users than a perfect match.\n\n\n\n\nHOW WE HIRE\n\nFour stages: a 30-minute call with our Talent team, a 60-minute portfolio review, a 60-minute design interview in person at our London office, and a closing 30-minute conversation.\n\nThe portfolio review and design interview are built around your own work and how you design. Please apply with your CV and a link to your portfolio showing your latest work."},{"id":"f85dcf7e-f554-413c-a75d-e33040efaa09","title":"Product Designer - Paris","department":"Product","team":"Product","employmentType":"FullTime","location":"Hybrid Paris","secondaryLocations":[],"publishedAt":"2026-10-12T10:45:52.839+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressCountry":"France","addressLocality":"Paris"}},"jobUrl":"https://jobs.ashbyhq.com/hcompany/f85dcf7e-f554-413c-a75d-e33040efaa09","applyUrl":"https://jobs.ashbyhq.com/hcompany/f85dcf7e-f554-413c-a75d-e33040efaa09/application","descriptionHtml":"As a Product Designer, you'll work on the H Platform, where our users create and run agentic AI workflows powered by our models. Nobody has written the playbook for designing these experiences yet. Our next stage is making the platform truly useful for its users and levelling it up, in design as much as in technology, and you'll build the product experiences that deliver real value in organisations.
At H Company, we believe AI should take action in the real world, and our mission is to make agentic AI genuinely useful for large organisations. We're pioneers in computer use: our own vision-language models power agents that see, click and type their way through the software businesses already run, with no integrations or rebuilds, and we own the whole stack, from research and models to the products built on top of them.
Talking to our users constantly to understand their needs and figure out what will make the platform truly useful for them.
Turning those insights into research and explorations, looking at problems from different angles before settling on a direction.
Picking the right tool for each task: a Figma design, a prototype, or a small PR when a quick change is the fastest way to ship.
Testing what you build with users, measuring its impact (A/B testing, user interviews, users daily use data...) and iterating quickly based on what you learn.
Shaping the roadmap together with the whole team, engineers and PMs alike.
The role sits in our Product team, which is responsible for product direction, strategy and design. You'll join the product designer who owns design and UX today, and work closely with product, engineering and forward deployed engineers.
Above all, we want someone who cares deeply about users, has great product taste and can explain it, moves fast while keeping quality high, leaves their ego at the door and welcomes feedback.
Likely a good fit if you
Have 5+ years of experience as a Product Designer at tech companies.
Have excellent UX, UI and interaction design skills, and can make complex, technical flows, like building and running AI agent workflows, feel simple and intuitive.
Have a portfolio that shows your latest work.
Have hands-on experience running user tests and A/B tests.
Know when a proven solution is good enough and when a problem deserves something new.
Have designed complex data or ML/AI-driven products: you know how to make complex systems understandable and how to design for AI behaviour that isn't always predictable, building trust and keeping users in control.
Are comfortable in technical discussions: you can dig into constraints and trade-offs with engineers and ramp up quickly on technical topics to discuss them with our researchers and more technical engineers.
Are fluent in Figma.
Can work within a design system and contribute to it.
Stronger still if you
Have designed platforms: complex B2B web or desktop software used by professionals, whether that's tools to build and run workflows, big data and analytics software, operational dashboards or other data-dense interfaces.
Are curious about code and AI in your design workflow. Every design team is still figuring out how AI changes the way we work, and we're no different, so we'd love someone who has started experimenting, whether by prototyping in code, building small tools or bringing AI into their process, and who wants to keep exploring with us.
If you match most of this but not every point, apply anyway. We care far more about how you think, your curiosity and your care for users than a perfect match.
Four stages: a 30-minute call with our Talent team, a 60-minute portfolio review, a 60-minute design interview in person at our Paris office, and a closing 30-minute conversation.
The portfolio review and design interview are built around your own work and how you design. Please apply with your CV and a link to your portfolio showing your latest work.
","descriptionPlain":"As a Product Designer, you'll work on the H Platform, where our users create and run agentic AI workflows powered by our models. Nobody has written the playbook for designing these experiences yet. Our next stage is making the platform truly useful for its users and levelling it up, in design as much as in technology, and you'll build the product experiences that deliver real value in organisations.\n\nAt H Company, we believe AI should take action in the real world, and our mission is to make agentic AI genuinely useful for large organisations. We're pioneers in computer use: our own vision-language models power agents that see, click and type their way through the software businesses already run, with no integrations or rebuilds, and we own the whole stack, from research and models to the products built on top of them.\n\n\n\n\nWHAT YOU'LL BE DOING\n\n - Talking to our users constantly to understand their needs and figure out what will make the platform truly useful for them.\n\n - Turning those insights into research and explorations, looking at problems from different angles before settling on a direction.\n\n - Picking the right tool for each task: a Figma design, a prototype, or a small PR when a quick change is the fastest way to ship.\n\n - Testing what you build with users, measuring its impact (A/B testing, user interviews, users daily use data...) and iterating quickly based on what you learn.\n\n - Shaping the roadmap together with the whole team, engineers and PMs alike.\n\n\n\n\nWHO YOU'LL WORK WITH\n\nThe role sits in our Product team, which is responsible for product direction, strategy and design. You'll join the product designer who owns design and UX today, and work closely with product, engineering and forward deployed engineers.\n\n\n\n\nWHAT WE THINK IT TAKES\n\nAbove all, we want someone who cares deeply about users, has great product taste and can explain it, moves fast while keeping quality high, leaves their ego at the door and welcomes feedback.\n\nLikely a good fit if you\n\n - Have 5+ years of experience as a Product Designer at tech companies.\n\n - Have excellent UX, UI and interaction design skills, and can make complex, technical flows, like building and running AI agent workflows, feel simple and intuitive.\n\n - Have a portfolio that shows your latest work.\n\n - Have hands-on experience running user tests and A/B tests.\n\n - Know when a proven solution is good enough and when a problem deserves something new.\n\n - Have designed complex data or ML/AI-driven products: you know how to make complex systems understandable and how to design for AI behaviour that isn't always predictable, building trust and keeping users in control.\n\n - Are comfortable in technical discussions: you can dig into constraints and trade-offs with engineers and ramp up quickly on technical topics to discuss them with our researchers and more technical engineers.\n\n - Are fluent in Figma.\n\n - Can work within a design system and contribute to it.\n\nStronger still if you\n\n - Have designed platforms: complex B2B web or desktop software used by professionals, whether that's tools to build and run workflows, big data and analytics software, operational dashboards or other data-dense interfaces.\n\n - Are curious about code and AI in your design workflow. Every design team is still figuring out how AI changes the way we work, and we're no different, so we'd love someone who has started experimenting, whether by prototyping in code, building small tools or bringing AI into their process, and who wants to keep exploring with us.\n\nIf you match most of this but not every point, apply anyway. We care far more about how you think, your curiosity and your care for users than a perfect match.\n\n\n\n\nHOW WE HIRE\n\nFour stages: a 30-minute call with our Talent team, a 60-minute portfolio review, a 60-minute design interview in person at our Paris office, and a closing 30-minute conversation.\n\nThe portfolio review and design interview are built around your own work and how you design. Please apply with your CV and a link to your portfolio showing your latest work."},{"id":"2c1e16a0-2fd0-4880-8aba-857456f0b2ed","title":"Infrastructure Engineer (ML Compute) - Paris","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"Hybrid Paris","secondaryLocations":[{"location":"Hybrid London","address":{"postalAddress":{"addressCountry":"United Kingdom"}}}],"publishedAt":"2026-10-12T14:50:39.074+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressCountry":"France","addressLocality":"Paris"}},"jobUrl":"https://jobs.ashbyhq.com/hcompany/2c1e16a0-2fd0-4880-8aba-857456f0b2ed","applyUrl":"https://jobs.ashbyhq.com/hcompany/2c1e16a0-2fd0-4880-8aba-857456f0b2ed/application","descriptionHtml":"You’ll own the GPU compute that powers our model training, evaluation and serving systems.
This role sits in our Infrastructure team, which works at the lowest layers of our stack, from Kubernetes down to the GPU hardware. You’ll run the clusters, GPUs and schedulers that our research, product and platform teams depend on, and manage the capacity we buy from our cloud providers.
Success is measured by how well we use our GPUs: keeping production reliable and improving the performance of our training and serving stack.
Running Kubernetes clusters for GPU training and inference
Improving how GPU work is scheduled and placed
Detecting, draining and repairing unhealthy GPU nodes
Managing capacity with our cloud providers
Debugging failures in GPUs, Linux, storage and networking
By month 3, you’ll be handling a share of cluster incidents on your own and will have shipped one change to scheduling or node health, such as automatically detecting and draining unhealthy GPU nodes. By month 6, you’ll own one part of the compute layer outright: scheduling and placement, node health and repair, or capacity and new regions. By month 12, you’ll be responsible for a globally distributed GPU system that shifts capacity between training and inference as needs change.
Your hiring manager is our VP of Engineering. Day to day, you’ll work with the Platform Infrastructure team, the research and product teams who use our compute, and our cloud providers and other vendors.
You’re likely a good fit if you:
Have built and run GPU workloads on Kubernetes
Could design a GPU cluster for training and online RL from scratch
Debug confidently at the OS layer and below (Linux, GPU drivers, networking and storage)
Write strong Python
It’s a plus if you’ve worked as an SRE or infrastructure engineer, or have used:
Slurm
Kubernetes scheduling and autoscaling tools such as Kueue or Karpenter
Multi-cloud orchestration tools such as SkyPilot
AWS services such as EKS or SageMaker HyperPod
High-performance interconnects and collective communication libraries such as EFA, InfiniBand, NCCL or Open MPI
Terraform
You don’t need ML research experience. If you match most of this but not every point, please apply.
Four stages, about three hours in total: a 30-minute call with our Talent team, a 60-minute coding interview, a 60-minute system design interview and a closing 30-minute conversation with our VP of Engineering. The coding and system design interviews are modelled on real-world problems you’d face in this role.
The role is hybrid, with three days a week in our Paris or London office and occasional travel between the two. We offer a competitive package.
","descriptionPlain":"You’ll own the GPU compute that powers our model training, evaluation and serving systems.\n\nThis role sits in our Infrastructure team, which works at the lowest layers of our stack, from Kubernetes down to the GPU hardware. You’ll run the clusters, GPUs and schedulers that our research, product and platform teams depend on, and manage the capacity we buy from our cloud providers.\n\n\n\n\nWHAT SUCCESS LOOKS LIKE\n\nSuccess is measured by how well we use our GPUs: keeping production reliable and improving the performance of our training and serving stack.\n\n\n\n\nWHAT YOU’LL BE DOING\n\n - Running Kubernetes clusters for GPU training and inference\n\n - Improving how GPU work is scheduled and placed\n\n - Detecting, draining and repairing unhealthy GPU nodes\n\n - Managing capacity with our cloud providers\n\n - Debugging failures in GPUs, Linux, storage and networking\n \n \n\n\nTHE FIRST YEAR\n\nBy month 3, you’ll be handling a share of cluster incidents on your own and will have shipped one change to scheduling or node health, such as automatically detecting and draining unhealthy GPU nodes. By month 6, you’ll own one part of the compute layer outright: scheduling and placement, node health and repair, or capacity and new regions. By month 12, you’ll be responsible for a globally distributed GPU system that shifts capacity between training and inference as needs change.\n\n\n\n\nWHO YOU’LL WORK WITH\n\nYour hiring manager is our VP of Engineering. Day to day, you’ll work with the Platform Infrastructure team, the research and product teams who use our compute, and our cloud providers and other vendors.\n\n\n\n\nWHAT WE THINK IT TAKES\n\nYou’re likely a good fit if you:\n\n - Have built and run GPU workloads on Kubernetes\n\n - Could design a GPU cluster for training and online RL from scratch\n\n - Debug confidently at the OS layer and below (Linux, GPU drivers, networking and storage)\n\n - Write strong Python\n\nIt’s a plus if you’ve worked as an SRE or infrastructure engineer, or have used:\n\n - Slurm\n\n - Kubernetes scheduling and autoscaling tools such as Kueue or Karpenter\n\n - Multi-cloud orchestration tools such as SkyPilot\n\n - AWS services such as EKS or SageMaker HyperPod\n\n - High-performance interconnects and collective communication libraries such as EFA, InfiniBand, NCCL or Open MPI\n\n - Terraform\n\nYou don’t need ML research experience. If you match most of this but not every point, please apply.\n\n\n\n\nHOW WE HIRE\n\nFour stages, about three hours in total: a 30-minute call with our Talent team, a 60-minute coding interview, a 60-minute system design interview and a closing 30-minute conversation with our VP of Engineering. The coding and system design interviews are modelled on real-world problems you’d face in this role.\n\n\n\n\nPRACTICALITIES\n\nThe role is hybrid, with three days a week in our Paris or London office and occasional travel between the two. We offer a competitive package."},{"id":"db347b29-402d-4f99-839e-5ceb2b02658a","title":"Infrastructure Engineer (ML Compute) - London","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"Hybrid London","secondaryLocations":[{"location":"Hybrid Paris","address":{"postalAddress":{"addressCountry":"France","addressLocality":"Paris"}}}],"publishedAt":"2026-10-12T14:51:17.639+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressCountry":"United Kingdom"}},"jobUrl":"https://jobs.ashbyhq.com/hcompany/db347b29-402d-4f99-839e-5ceb2b02658a","applyUrl":"https://jobs.ashbyhq.com/hcompany/db347b29-402d-4f99-839e-5ceb2b02658a/application","descriptionHtml":"You’ll own the GPU compute that powers our model training, evaluation and serving systems.
This role sits in our Infrastructure team, which works at the lowest layers of our stack, from Kubernetes down to the GPU hardware. You’ll run the clusters, GPUs and schedulers that our research, product and platform teams depend on, and manage the capacity we buy from our cloud providers.
Success is measured by how well we use our GPUs: keeping production reliable and improving the performance of our training and serving stack.
Running Kubernetes clusters for GPU training and inference
Improving how GPU work is scheduled and placed
Detecting, draining and repairing unhealthy GPU nodes
Managing capacity with our cloud providers
Debugging failures in GPUs, Linux, storage and networking
By month 3, you’ll be handling a share of cluster incidents on your own and will have shipped one change to scheduling or node health, such as automatically detecting and draining unhealthy GPU nodes. By month 6, you’ll own one part of the compute layer outright: scheduling and placement, node health and repair, or capacity and new regions. By month 12, you’ll be responsible for a globally distributed GPU system that shifts capacity between training and inference as needs change.
Your hiring manager is our VP of Engineering. Day to day, you’ll work with the Platform Infrastructure team, the research and product teams who use our compute, and our cloud providers and other vendors.
You’re likely a good fit if you:
Have built and run GPU workloads on Kubernetes
Could design a GPU cluster for training and online RL from scratch
Debug confidently at the OS layer and below (Linux, GPU drivers, networking and storage)
Write strong Python
It’s a plus if you’ve worked as an SRE or infrastructure engineer, or have used:
Slurm
Kubernetes scheduling and autoscaling tools such as Kueue or Karpenter
Multi-cloud orchestration tools such as SkyPilot
AWS services such as EKS or SageMaker HyperPod
High-performance interconnects and collective communication libraries such as EFA, InfiniBand, NCCL or Open MPI
Terraform
You don’t need ML research experience. If you match most of this but not every point, please apply.
Four stages, about three hours in total: a 30-minute call with our Talent team, a 60-minute coding interview, a 60-minute system design interview and a closing 30-minute conversation with our VP of Engineering. The coding and system design interviews are modelled on real-world problems you’d face in this role.
The role is hybrid, with three days a week in our Paris or London office and occasional travel between the two. We offer a competitive package.
","descriptionPlain":"You’ll own the GPU compute that powers our model training, evaluation and serving systems.\n\nThis role sits in our Infrastructure team, which works at the lowest layers of our stack, from Kubernetes down to the GPU hardware. You’ll run the clusters, GPUs and schedulers that our research, product and platform teams depend on, and manage the capacity we buy from our cloud providers.\n\n\n\n\nWHAT SUCCESS LOOKS LIKE\n\nSuccess is measured by how well we use our GPUs: keeping production reliable and improving the performance of our training and serving stack.\n\n\n\n\nWHAT YOU’LL BE DOING\n\n - Running Kubernetes clusters for GPU training and inference\n\n - Improving how GPU work is scheduled and placed\n\n - Detecting, draining and repairing unhealthy GPU nodes\n\n - Managing capacity with our cloud providers\n\n - Debugging failures in GPUs, Linux, storage and networking\n\n\n\n\nTHE FIRST YEAR\n\nBy month 3, you’ll be handling a share of cluster incidents on your own and will have shipped one change to scheduling or node health, such as automatically detecting and draining unhealthy GPU nodes. By month 6, you’ll own one part of the compute layer outright: scheduling and placement, node health and repair, or capacity and new regions. By month 12, you’ll be responsible for a globally distributed GPU system that shifts capacity between training and inference as needs change.\n\n\n\n\nWHO YOU’LL WORK WITH\n\nYour hiring manager is our VP of Engineering. Day to day, you’ll work with the Platform Infrastructure team, the research and product teams who use our compute, and our cloud providers and other vendors.\n\n\n\n\nWHAT WE THINK IT TAKES\n\nYou’re likely a good fit if you:\n\n - Have built and run GPU workloads on Kubernetes\n\n - Could design a GPU cluster for training and online RL from scratch\n\n - Debug confidently at the OS layer and below (Linux, GPU drivers, networking and storage)\n\n - Write strong Python\n\nIt’s a plus if you’ve worked as an SRE or infrastructure engineer, or have used:\n\n - Slurm\n\n - Kubernetes scheduling and autoscaling tools such as Kueue or Karpenter\n\n - Multi-cloud orchestration tools such as SkyPilot\n\n - AWS services such as EKS or SageMaker HyperPod\n\n - High-performance interconnects and collective communication libraries such as EFA, InfiniBand, NCCL or Open MPI\n\n - Terraform\n\nYou don’t need ML research experience. If you match most of this but not every point, please apply.\n\n\n\n\nHOW WE HIRE\n\nFour stages, about three hours in total: a 30-minute call with our Talent team, a 60-minute coding interview, a 60-minute system design interview and a closing 30-minute conversation with our VP of Engineering. The coding and system design interviews are modelled on real-world problems you’d face in this role.\n\n\n\n\nPRACTICALITIES\n\nThe role is hybrid, with three days a week in our Paris or London office and occasional travel between the two. We offer a competitive package."},{"id":"a17c028e-ace4-4fd6-bf8a-216269f5f708","title":"Founding Forward Deployed Engineer - US","department":"Deployment","team":"FDE","employmentType":"FullTime","location":"Hybrid New York","secondaryLocations":[],"publishedAt":"2026-10-28T08:58:12.698+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/hcompany/a17c028e-ace4-4fd6-bf8a-216269f5f708","applyUrl":"https://jobs.ashbyhq.com/hcompany/a17c028e-ace4-4fd6-bf8a-216269f5f708/application","descriptionHtml":"FOUNDING FORWARD DEPLOYED ENGINEER
What we're looking for:
• Individuals with impressive achievements and great technical skills, highly proficient in Python .
• Around 3 years of experience in AI with the ability to act autonomously and demonstrate real curiosity for AI.
• Customer-facing experience and comfortable working alongside a customer.
• Excellent communication skills.
About H: H Company is a next-generation AI research and product company pioneering the future of autonomous, agentic AI. Founded to build intelligence that acts, H Company is creating the foundational infrastructure for autonomous AI systems that drive real-world outcomes across industries.
About the Team:
The Forward Deployed Team is committed to ensuring the successful implementation of our Agents to help our customer automate and optimize tasks, and allow them to focus on what really matters. The team is also responsible to shape the future vision of our products by distilling learnings from the field into the H platform.
That platform empowers a wide range of professionals and businesses to safely, easily and autonomously deploy agents at scale for a broad range of tasks: from ensuring websites behave as expected to automating repeated tasks.
Key Responsibilities:
Understand and identify customer’s most important and impactful multi-step task to automate
Seamlessly integrate with customer systems, including but not limited to databases, third-party APIs, and internal tools, etc.
Rapidly iterate in the field with tight feedback loops to continuously improve product fit and drive end-to-end solution delivery
Architect, build, and maintain production-grade services that scale with usage and complexity
Collaborate closely with product, research, and engineering teams to shape the roadmap and align on priorities based on findings in the field
Requirements:
3+ years of professional AI + software engineering experience, ideally in fast-paced environments (e.g., startups, consulting, or product teams), or otherwise proven technical acumen through projects and past experiences
Experience working with AI/ML systems, especially integrating LLMs or other agentic workflows into real products
Heavy fluency in Python and familiarity with Typescript
Familiarity with backend (FastAPI, Next.js…) and frontend (React…) frameworks and a good sense of UI/UX tradeoffs
Experience building and deploying production systems: APIs, services, infrastructure, and/or data pipelines
Proficiency in integrating third-party APIs, databases, and external systems in a secure and reliable way
Strong problem-solving skills and ability to thrive in ambiguous, customer-facing environments
Excellent communication skills, both written and verbal
Bias for action: able to ship quickly, iterate fast, and own the full lifecycle of solutions
Willingness to travel for on-site deployments or customer engagements
Location:
H's teams are distributed throughout Paris, France, London, UK, and the US.
This role can be based either in SF/Bay area-CA, Austin-TX, or NY.
What we offer:
Be part of the founding journey of one of the most exciting AI startups shaping the future of AI and agentic systems.
Collaborate with a fun, dynamic and multicultural team, working alongside world-class AI engineers, researchers, and builders in a high-trust, high-impact environment.
Enjoy a competitive compensation package, including equity.
H Company is an AI research and product company building autonomous agents for the enterprise. We combine proprietary models (Holo), computer-use agents, an orchestration platform and hands-on engineering into a single system designed for production use. Our agents operate any software the way a person does, with no API and no rebuilt stack. They rank #1 on OSWorld-Verified, the leading computer-use benchmark. We were born in Paris, with offices in London, New York and San Francisco. Our team of 100+ researchers and engineers work with enterprises on three continents.
Put H’s leaders and researchers on the right stages, and build the event and trade partnerships that give H a voice with the audiences that matter: enterprise buyers, investors, policymakers and the AI community. You will own our speaking programme end to end, from first invitation to post-event follow-up.
Run H’s speaking programme:, starting with managing every inbound invitation and distributing them across leaders
Proactively pitch H speakers to the right conferences, and keep a clear calendar for our CEO, COO, product and research leaders.
Assess each event against clear criteria (audience quality, prestige, format, media reach, strategic fit and geography) and give leadership a recommendation they can decide on quickly.
Build and manage relationships with conference organisers, speaker bureaus, trade associations and media partners across France, the UK, the US and the rest of Europe.
Negotiate and manage event and trade partnerships, from speaking slots and sponsorships to co-hosted events and media partnerships, working with Marketing and Sales on budget and return.
Prepare our speakers for every appearance: bios, talking points, briefing notes, Q&A prep, logistics and audience background.
Keep every commitment. Confirm early, plan replacements in advance, and never cancel or downgrade a speaking slot at the last minute without leadership’s decision.
Turn each event into value: coordinate with Social and Content on coverage, with Sales on meetings and leads, and with the team on thank-you notes and follow-up.
Keep the speaking pipeline, partner contacts and event outcomes up to date in one source of truth, and report on what worked.
2 to 6 years of experience in events, speaker management, partnerships, communications or business development, ideally in B2B tech, AI or a fast-growing startup.
Native-level English, with excellent written and spoken communication. French is a plus.
Strong relationship-building skills and comfort dealing with senior executives, organisers and agencies.
Highly organised, with attention to detail and reliable follow-through, since you will manage calendars and logistics across several time zones.
Good commercial judgement: you can weigh an opportunity, negotiate terms and say no politely.
A genuine interest in AI, and the ability to learn enough about our technology to brief a speaker and hold your own with organisers.
Nice to have: experience at a speaker bureau, conference or trade-show organiser, or in executive communications.
What success looks like: within [6 months], H has a clear, prioritised speaking calendar, every confirmed commitment is honoured, and our leaders appear on the stages that matter most for our customers and investors.
The H mindset: Ship fast, learn faster. Speak honestly, act kindly.
2 to 6 years of experience in social media, content or communications, ideally in B2B tech, AI or a fast-growing startup.
Native-level English with excellent writing and storytelling. A portfolio of your work.
Real interest in AI, and the ability to explain complex technical topics to different audiences.
Experience running campaigns and using analytics to improve them: you have already created content that truly gained traction.
Comfort working across research, product, sales and leadership, and moving fast with little supervision.
Trustworthy: you will be working on the personal reputation of a senior executives.
Nice to have: short-form video editing, community experience with developers, French.
What success looks like: within 3 months, H Company has a clear editorial line, a regular publishing rhythm, and a visibly stronger, more engaged audience among our target enterprise and developer communities.
A freelance role, the role requires to be fully integrated to the teams.
A traditional community manager role focused on posting product updates three times a week. We are looking for someone who thinks strategically about reputation, brings original ideas, and understands the difference between visibility and impact.
This role is based in Paris (Grands Boulevards). Our teams work across USA, France and the UK. This role is hybrid, and you are expected to be in the office 3 days a week on average.
Join a European AI company at a pivotal moment, with real ownership over its public voice.
Direct access to leadership, the researchers and engineers building the technology.
Collaborative, multicultural team that works on AI and real life enterprise problems.
Competitive salary and equity.
Learning and growth, team hackathons, offsites and moments to celebrate wins together.
If you want to change the status quo in AI, join us.
","descriptionPlain":"H Company is an AI research and product company building autonomous agents for the enterprise. We combine proprietary models (Holo), computer-use agents, an orchestration platform and hands-on engineering into a single system designed for production use. Our agents operate any software the way a person does, with no API and no rebuilt stack. They rank #1 on OSWorld-Verified, the leading computer-use benchmark. We were born in Paris, with offices in London, New York and San Francisco. Our team of 100+ researchers and engineers work with enterprises on three continents.\n\n\n\n\nMISSION\n\nPut H’s leaders and researchers on the right stages, and build the event and trade partnerships that give H a voice with the audiences that matter: enterprise buyers, investors, policymakers and the AI community. You will own our speaking programme end to end, from first invitation to post-event follow-up.\n\n\n\n\nRESPONSIBILITIES\n\n - Run H’s speaking programme:, starting with managing every inbound invitation and distributing them across leaders\n\n - Proactively pitch H speakers to the right conferences, and keep a clear calendar for our CEO, COO, product and research leaders.\n\n - Assess each event against clear criteria (audience quality, prestige, format, media reach, strategic fit and geography) and give leadership a recommendation they can decide on quickly.\n\n - Build and manage relationships with conference organisers, speaker bureaus, trade associations and media partners across France, the UK, the US and the rest of Europe.\n\n - Negotiate and manage event and trade partnerships, from speaking slots and sponsorships to co-hosted events and media partnerships, working with Marketing and Sales on budget and return.\n\n - Prepare our speakers for every appearance: bios, talking points, briefing notes, Q&A prep, logistics and audience background.\n\n - Keep every commitment. Confirm early, plan replacements in advance, and never cancel or downgrade a speaking slot at the last minute without leadership’s decision.\n\n - Turn each event into value: coordinate with Social and Content on coverage, with Sales on meetings and leads, and with the team on thank-you notes and follow-up.\n\n - Keep the speaking pipeline, partner contacts and event outcomes up to date in one source of truth, and report on what worked.\n\n\nREQUIREMENTS & OUTCOME\n\n - 2 to 6 years of experience in events, speaker management, partnerships, communications or business development, ideally in B2B tech, AI or a fast-growing startup.\n\n - Native-level English, with excellent written and spoken communication. French is a plus.\n\n - Strong relationship-building skills and comfort dealing with senior executives, organisers and agencies.\n\n - Highly organised, with attention to detail and reliable follow-through, since you will manage calendars and logistics across several time zones.\n\n - Good commercial judgement: you can weigh an opportunity, negotiate terms and say no politely.\n\n - A genuine interest in AI, and the ability to learn enough about our technology to brief a speaker and hold your own with organisers.\n\n - Nice to have: experience at a speaker bureau, conference or trade-show organiser, or in executive communications.\n\n - What success looks like: within [6 months], H has a clear, prioritised speaking calendar, every confirmed commitment is honoured, and our leaders appear on the stages that matter most for our customers and investors.\n\nThe H mindset: Ship fast, learn faster. Speak honestly, act kindly.\n\n\n\n\nREQUIREMENTS:\n\n - 2 to 6 years of experience in social media, content or communications, ideally in B2B tech, AI or a fast-growing startup.\n\n - Native-level English with excellent writing and storytelling. A portfolio of your work.\n\n - Real interest in AI, and the ability to explain complex technical topics to different audiences.\n\n - Experience running campaigns and using analytics to improve them: you have already created content that truly gained traction.\n\n - Comfort working across research, product, sales and leadership, and moving fast with little supervision.\n\n - Trustworthy: you will be working on the personal reputation of a senior executives.\n\n - Nice to have: short-form video editing, community experience with developers, French.\n\n - What success looks like: within 3 months, H Company has a clear editorial line, a regular publishing rhythm, and a visibly stronger, more engaged audience among our target enterprise and developer communities.\n\n\n\n\nWHAT THIS ROLE IS NOT\n\nA freelance role, the role requires to be fully integrated to the teams.\n\nA traditional community manager role focused on posting product updates three times a week. We are looking for someone who thinks strategically about reputation, brings original ideas, and understands the difference between visibility and impact.\n\n\n\n\nLOCATION\n\nThis role is based in Paris (Grands Boulevards). Our teams work across USA, France and the UK. This role is hybrid, and you are expected to be in the office 3 days a week on average.\n\n\n\n\nWHAT WE OFFER:\n\n - Join a European AI company at a pivotal moment, with real ownership over its public voice.\n\n - Direct access to leadership, the researchers and engineers building the technology.\n\n - Collaborative, multicultural team that works on AI and real life enterprise problems.\n\n - Competitive salary and equity.\n\n - Learning and growth, team hackathons, offsites and moments to celebrate wins together.\n\nIf you want to change the status quo in AI, join us."}],"apiVersion":"1"}