Location: United States; Canada
Workplace: OnSite
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Role Overview
As a Member of Technical Staff in Post-Training Data Infrastructure, you will build and own the pipelines that produce the post-training data for our large language models (LLMs), from SFT and RL data to synthetic and human-annotated data. You will work closely with researchers and annotation teams so they can iterate on data as quickly as they iterate on models.
Key Responsibilities
- Build and maintain data pipelines for SFT, preference, and RL post-training data.
- Own dataset quality, versioning, and reproducibility.
- Turn research data recipes into production-grade, reusable components.
- Scale model inference for data generation and model-based grading.
- Design data formats and schemas that keep post-training datasets consistent and efficient to train on.
- Collaborate with researchers and engineers to make sure data pipelines keep pace with the needs of cutting-edge language models.
Qualifications
- Strong software engineering skills.
- Experience designing and building large-scale data pipelines for machine learning, ideally for LLM post-training.
- Track record of running distributed data processing and model inference at scale.
- Good understanding of post-training methods (e.g., SFT, RLHF, DPO) and how data shapes model behaviour.
- Excellent communication skills.
This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We value diverse backgrounds and perspectives at Cohere
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Role Focus: Build and deploy production-grade AI/ML and Generative AI systems, with a focus on LLMs, RAG, personalization, MLOps, and cloud infrastructure. - Build RAG pipelines, semantic/vector search, conversational AI, and intelligent assistants.
Location: Foster City, CA
Workplace: Hybrid
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation.
ABOUT THE ROLE
You'll be one of the founding data scientist on Replit's Growth team, working with Product and Engineering leadership across acquisition, activation and recommender systems, and helping shape how Replit experiments.
This role is for someone who doesn't wait to be asked. You spot problems and opportunities before anyone else does, bring a strong point of view, and push it until it changes what we build.
YOU WILL:
- Own data science for major growth areas, partnering with PMs and engineers from problem framing and sizing through launch and readout
- Make fast decisions trustworthy: we ship weekly and need a decision within days, but retention takes weeks to show up. You'll design the experiments and metrics that close that gap; for example, variance reduction (CUPED), sequential testing, and short-term proxy metrics validated against long-term retention and revenue
- Help set the experimentation standards teams rely on for Replit's highest-traffic surfaces: how metrics and guardrails are defined, and the checks that catch a broken test before it misleads anyone
- Use quasi-experimental designs (difference-in-differences, synthetic control, regression discontinuity) where randomization isn't feasible, such as pricing changes and regional launches
- Help define the data science behind an emerging personalization and recommendations workstream: problem framing, offline and online evaluation, and measuring incremental lift
- Model the economics of a freemium, usage-based product: credit consumption, conversion, and how pricing and limits change behavior
- Develop user and project segmentation from behavioral and content signals (e.g., embeddings and clustering) so growth analysis reflects what people are actually building
- Partner with Data Engineering on a shared metrics layer and experimentation tooling
REQUIRED SKILLS AND EXPERIENCE
- 6+ years in data science, with significant time on growth or experimentation for high-scale prosumer, PLG, or self-serve products
- Data science experience at a fast-growing startup, where you built metrics, datasets, and experimentation practices without much existing infrastructure
- Deep expertise in experimental design and statistical inference, including reaching reliable decisions when readout windows are short and the outcomes that matter are slow
- Experience establishing experimentation standards or platforms adopted by multiple teams
- Expert SQL and Python
- A track record of analysis that changed what a team shipped, and of influencing senior Product and Engineering leaders
- Heavy, practical use of AI tools to move faster in your own work
PREFERRED QUALIFICATIONS
- Comfortable building your own datasets in dbt;
- Pricing, packaging, or monetization analysis for usage- or credit-based products
- International or mobile growth experience
- MS or PhD in statistics, economics, computer science, or another quantitative field
BONUS POINTS
- Experience with multi-armed bandits or adaptive experimentation
- Familiarity with developer tools, AI products, or creator platforms
This is a full-time role based in our Foster City, CA office with an in-office requirement of Monday, Wednesday, and Friday.
Full-Time Employee Benefits Include:
💰 Competitive Salary & Equity
💹 401(k) Program with a 4% match (US Only)
⚕️ Health, Dental, Vision and Life Insurance
🩼 Short Term and Long Term Disability
🚼 Paid Parental, Medical, Caregiver Leave
🏝 Flexible Time Off (FTO) + Holidays
🚗 Commuter Benefits (In-Office & US Only)
📱 Monthly Wellness Stipend
🧑💻 Autonomous Work Environment
🖥 In Office Set-Up Reimbursement (In-Office Only)
🚀 Quarterly Team Gatherings
☕ In Office Amenities (In-Office Only)
Want to learn more about what we are up to?
- Self-driving Company https://replit.com/blog/self-driving-company
- Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale
- AI Adoption https://replit.com/blog/ai-adoption
- Build Open-Source Apps https://replit.com/build/open-source-app-builder
Interviewing + Culture at Replit
- Operating Principles https://blog.replit.com/operating-principles
- Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit
To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.
Location: New York; San Francisco
Workplace: OnSite
ABOUT US:
AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
ABOUT GTM ENGINEERING:
GTM Engineering is responsible for the data, business logic, workflows, and agents that enable our Marketing and Sales teams to help customers get the most out of Modal.
Like the infrastructure beneath the Magic Kingdom https://en.wikipedia.org/wiki/Disney_utilidor_system, much of our work happens behind the scenes. We build systems that anticipate and deliver what customers need to grow on Modal.
We bring a product management, growth engineering, and data science approach to GTM, from centralizing our data platform https://deepline.com/blog/gtm-ai-nyc-chris-modal to building agents for account research https://parallel.ai/blog/case-study-modal.
We're looking for a GTM Engineer to own our GTM data platform. This role combines analytics engineering with revenue operations: you'll build the org map, people graph, and data systems that help us discover future customers and support our GTM workflows, partnering closely with our Data team on the shared foundation.
WHAT YOU'LL DO:
- Build and maintain an org map and people graph connecting companies, labs, teams, and individuals to identify researchers, engineers, and early-stage startups, including people beyond our existing users and CRM.
- Own identity resolution, enrichment, and CRM schemas so affiliations, roles, and relationships stay accurate, current, and traceable to their sources.
- Build GTM data models in Snowflake and dbt connecting people, companies, workspaces, workloads, usage, and revenue, giving reps and agents a shared foundation for customer context.
- Partner with RevOps and Marketing to define and implement metrics, data models, and business rules for routing, territory assignments, compensation, pipeline reporting, and attribution.
- Partner with Data on usage forecasts and account signals; build reproducible reporting that reconciles actuals, forecasts, human adjustments, and credited attainment.
- Build reverse ETL pipelines for ad audiences, lifecycle campaigns, CRM enrichment, outbound, and event outreach, preserving engagement history and campaign eligibility.
- Own data quality and system health, from graph coverage and stale enrichment to failed syncs and historical reporting accuracy.
- Build the tooling that helps GTM Engineering ship reliably, from development environments, automated tests, and deployments to backups and shared AI agents and skills.
WHAT YOU SHOULD HAVE:
- SQL fluency and Python proficiency.
- You already use AI coding tools and agents to build, debug, and automate your work, and help teammates do the same.
- Experience building data models and production pipelines with tools like Snowflake, dbt, Modal, or Hex.
- Hands-on experience with CRM architecture, integrations, and revenue or marketing operations.
- An understanding of how leads, accounts, opportunities, and revenue move through a business; experience with usage-based businesses is a plus.
- High attention to detail and a habit of testing, documenting, and monitoring the systems you build.
Location: New York
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
We're hiring a Sales Manager to build and lead a team of Enterprise Account Executives. Enterprise at Baseten means the companies with the most to gain from AI and the most complexity in getting there: large digital natives running products at massive scale, and category leaders in software, financial services, and healthcare. They have the data, the distribution, and the budget. Most are still deciding what to build, what to run themselves, and what it should cost.
You'll recruit and develop reps, run deals alongside them while the team ramps, and contribute to the playbook for how Baseten wins enterprise. It's a high-influence seat, close to our founders and GTM leadership.
RESPONSIBILITIES
- Recruit, hire, and ramp a team of Enterprise sellers
- Coach reps through long, multi-stakeholder cycles: multithreading across buying committees, navigating security and procurement, and closing seven- and eight-figure deals
- Raise the bar on consultative selling. Your reps should be advising customers on AI strategy, not just running a product evaluation
- Partner on shaping and executing go-to-market strategy for your territory, including which verticals to attack first
- Operate as a player-coach, carrying deals yourself while the team builds
- Stay deep enough on the product to guide reps through technical evaluations, POCs, and architecture reviews alongside our forward-deployed engineers
- Work with Marketing, Product, Engineering, and Legal to turn enterprise requirements into roadmap and GTM input
- Build a culture of accountability, learning, and collaboration
REQUIREMENTS
- 8+ years of closing experience, with 2+ years managing high-performing teams
- Proven success in Enterprise sales, closing complex, multi-stakeholder deals inside large organizations
- Experience selling into large digital natives or regulated industries (financial services, healthcare/life sciences, insurance, public sector)
- A track record of recruiting strong sellers, ideally on a new or early-stage team
- Strong technical acumen, ideally in AI infrastructure, cloud infrastructure, or developer platforms. You're comfortable in the weeds
- Willingness to sell as well as manage while the team is small
- Based in New York and able to be in office at least 3 days per week (Tuesday to Thursday)
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Role Focus: Build and deploy production-grade AI/ML and Generative AI systems, with a focus on LLMs, RAG, personalization, MLOps, and cloud infrastructure. - Build RAG pipelines, semantic/vector search, conversational AI, and intelligent assistants.
Role Focus: Build and deploy production-grade AI/ML and Generative AI systems, with a focus on LLMs, RAG, personalization, MLOps, and cloud infrastructure. - Build RAG pipelines, semantic/vector search, conversational AI, and intelligent assistants.
• Поэтапный перевод системы с графа сценариев и скиллов на управляемый LLM-based диалог. • Дебаг голосового пайплайна (поиск причин high latency, галлюцинаций LLM, проблем с передачей аудио, графовых ошибок и т.п.).
• Поэтапный перевод системы с графа сценариев и скиллов на управляемый LLM-based диалог. • Дебаг голосового пайплайна (поиск причин high latency, галлюцинаций LLM, проблем с передачей аудио, графовых ошибок и т.п.).
Role Focus: Build and deploy production-grade AI/ML and Generative AI systems, with a focus on LLMs, RAG, personalization, MLOps, and cloud infrastructure. - Build RAG pipelines, semantic/vector search, conversational AI, and intelligent assistants.
Responsibilities In this role, you’ll: Build out new functionality within a fast moving product seeing rapid adoption. Take a nebulous idea, design a rigorous experiment, and execute it within weeks.
Role Focus: Build and deploy production-grade AI/ML and Generative AI systems, with a focus on LLMs, RAG, personalization, MLOps, and cloud infrastructure. - Build RAG pipelines, semantic/vector search, conversational AI, and intelligent assistants.
Role Focus: Build and deploy production-grade AI/ML and Generative AI systems, with a focus on LLMs, RAG, personalization, MLOps, and cloud infrastructure. - Build RAG pipelines, semantic/vector search, conversational AI, and intelligent assistants.
About the job:
QV.AC is a general purpose AI assistant that runs locally on your devices, giving people real control over their data and AI usage without cloud dependency or data harvesting. The focus is on local, on-device, privacy-preserving AI connected across Tether's peer-to-peer ecosystem.
Responsibilities:
Engineering:
— Run the app and feature teams day to day: unblocking, reviewing, and keeping them shipping.
— Set and hold a high engineering bar for performance, reliability, and clean APIs.
— Own the technical design of features and the API surface between the AI core and the app.
— Ensure close collaboration with AI research and deep tech teams on code reviews, design, and anything involving models or inference.
Product Partnership:
— Work alongside product managers to turn vision and roadmap into scoped, buildable work.
— Push back when scope and reality don't match and propose better paths.
— Bring an engineering perspective to product decisions, especially regarding local AI model capabilities and limitations.
— Help the team move fast using AI tools and quick prototypes to validate ideas before commitment.
Leadership:
— Create clarity around team goals and define success.
— Mentor team leads to build strong operating systems, improve collaboration, and grow as leaders.
— Lead by example: actively contribute when needed and step back when teams are ready to own their work.
Mandatory Requirements:
— Experience managing engineers or engineering leads who ship consumer products, ideally AI-powered apps.
— Strong product sense to distinguish good features from busywork.
— Intuition for applied AI and on-device constraints such as model size, latency, memory, battery, and the gap between demos and reliable features.
— Heavy use of AI tools in own work and enthusiasm for experimenting with new models and capabilities.
— Deep knowledge of JavaScript and React.
— Initiative, curiosity, resilience, and ability to give and receive direct critique.
Preferred:
— Experience with local or on-device inference, LLM evaluations, cross-platform mobile and desktop apps, or open source.
Work format:
— Remote work from anywhere in the world.
Additional information:
— Recruitment scams warning and official application channels provided.
— Official careers page: https://tether.recruitee.com/
— Communication only via official company emails ending with @tether.to or @tether.io.
— No requests for payment or financial details during hiring.
— Candidates encouraged to mention the word EXTOLL when applying to confirm they read the job post fully.
- Поэтапный перевод системы с графа сценариев и скиллов на управляемый LLM-based диалог; - Дебаг голосового пайплайна (поиск причин high latency, галлюцинаций LLM, проблем с передачей аудио, графовых ошибок и т.п.);
Location: San Francisco; Remote; Toronto; New York; Montreal; Seattle
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
We are seeking an experienced and detail-oriented GRC (Governance, Risk, and Compliance) Manager to build, support, and continuously enhance Baseten’s security governance, compliance, and privacy programs. As one of the early members of our security organization, you will play a key role in ensuring our platform meets and exceeds the highest standards for privacy, trust, and regulatory compliance.
You’ll work closely with Engineering, Product, Security, and Legal to define compliance requirements, assess platform capabilities, and drive implementation from initial scoping through validation. You will also lead customer assurance efforts, helping customers understand our security architecture and compliance posture while bringing their requirements back into product planning.
Alongside this product focus, you’ll contribute to Baseten’s broader GRC program, including governance, risk management, audits, vendor assessments, and security awareness.
RESPONSIBILITIES
- Product Compliance: Translate regulatory, framework, and customer requirements into clear product requirements and technical controls, partnering with Engineering and Product to build compliance into platform design and development.
- Governance & Policy Development: Design, implement, and maintain security governance frameworks, policies, and procedures that align with Baseten’s risk posture and industry best practices.
- Risk Management: Build and manage the company-wide risk assessment program, identifying, tracking, and mitigating key security and compliance risks.
- Compliance Operations: Support efforts to achieve and maintain compliance with SOC 2, ISO 27001/27701, HIPAA, FedRAMP and other applicable standards and regulations.
- Audit & Certification Management: Coordinate external audits and certification processes, ensuring evidence collection, control validation, and remediation plans are executed efficiently.
- Third-Party Risk Management: Oversee vendor security assessments and ensure third-party providers meet Baseten’s security and compliance standards.
- Cross-Functional Collaboration: Partner with Engineering, Product, and Operations teams to embed compliance and risk management into day-to-day operations and technical processes.
- Customer Trust & Assurance: Support customer security questionnaires, due diligence efforts, and documentation requests from prospective and existing clients.
- Training & Awareness: Develop and deliver security and compliance training to ensure company-wide understanding of key policies and responsibilities.
- Continuous Improvement: Stay current on evolving regulatory requirements and lead initiatives to mature our compliance and risk management programs.
REQUIREMENTS
- BS Degree in CS, CE, MIS or equivalent field
- 5+ years of experience in GRC, Security Compliance, or Information Security roles, ideally in a SaaS or cloud-native environment.
- Strong understanding of security frameworks and standards such as SOC 2, ISO 27001, NIST, and GDPR.
- Proven track record managing compliance audits and certification programs end-to-end.
- Experience working directly with leaders and executives within Enterprise organizations
- Experience working cross-functionally with technical and non-technical stakeholders to implement compliance and security controls.
- Proven experience driving product compliance by translating regulatory and customer requirements into actionable product controls with Engineering and Product
- Experience defining project requirements and driving implementation by translating compliance objectives into clear deliverables, coordinating cross-functional stakeholders, and managing execution through completion.
- Experience responding to customer security questionnaires and leading customer security interviews, with the ability to clearly communicate security controls, compliance posture, and risk management practices to technical and nontechnical audiences.
- Ability to thrive in a fast-paced, high-growth startup environment while maintaining structure and process discipline.
NICE TO HAVE
- Experience with cloud security compliance in AWS or GCP environments.
- Hands-on experience using GRC tools (e.g., Vanta, Drata, Secureframe, Anecdotes).
- Understanding of AI/ML security considerations, data privacy, and model governance.
- Previous experience building and implementing security controls in an early-stage or rapidly growing startup.
- Relevant certifications (e.g., CISA, CISSP, CISM, ISO 27001 Lead Implementer).
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: Stockholm
ABOUT US:
AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
THE ROLE:
We’re looking for strong engineers with experience building software that developers love to work with. Our ideal candidate is someone with a demonstrated drive to build beautiful abstractions that enhance developer productivity.
REQUIREMENTS:
- 5+ years of experience developing high-quality Python, JS or Go applications or libraries where the code is used or interacted with by other developers
- A strong code-as-product sense that manifests as a focus on developer ergonomics and productivity.
- Knowledge of async programming and concurrency management/pitfalls
- A high level of customer empathy, good communication skills, and an openness to working directly with our users to help solve their problems.
- Ability to participate in on-call rotation and respond to production incidents.
- Ability to work in-person in our New York or Stockholm office.
- Any of the following would be a plus:
- Having built developer tools or SDKs
- Experience maintaining open-source software
- Good understanding of agentic development workflows
- Familiarity with modern data / ML / AI tools and workflows
KEY ACTIONS THE TEAM IS WORKING ON:
- Improving developer and agent experience of our SDK and CLI
- Developing new primitives to meet demand for entirely new areas that arise as a result of the ongoing industry transformation
Stockholm
150 000 – 350 000 $
ГибридFoster City, CA
210 000 – 327 000 $
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