Location: Boston, MA; New York, NY
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE TEAM
The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done.
ABOUT THE ROLE
This role is onsite 5 days/week in Boston, MA
We're looking for a Senior Fullstack Engineer to work on LangSmith. In this role, you'll have the opportunity to shape the technical direction of our platform while working closely with our enterprise customers, developer end-users, and cross functional internal stakeholders.
WHAT YOU WILL DO
- Lead the technical architecture and implementation of key product features for LangSmith, working across our entire Go, Python, and Typescript stack.
- Collaborate closely with product and design teams to iterate on new features.
- Help drive aggressive project timelines while ensuring high engineering standards are being met.
- Lead by example in writing clean, maintainable, and well-tested code.
WHAT YOU BRING
- 5+ years of experience in software engineering working on complex platform products
- Fullstack engineering experience with Go or Python on the backend and React + Typescript on the frontend.
- Strong understanding of database systems, particularly Postgres and Redis
- Experience designing and scaling APIs, preferably in a high-performance, data-intensive application
- A “get stuff done” attitude - comfortable shipping fast and iterating based on user feedback
- Strong communicator with the ability to collaborate closely with various internal stakeholders and engage directly with our top-tier customers
- Strong ownership mindset
- Bonus: Experience with AI/LLM-powered applications, developer tools, or observability platforms
Compensation
- Annual salary range: $175,000-$240,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: Boston, MA; New York, NY
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE TEAM
The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done.
ABOUT THE ROLE
This role is based onsite in Boston, MA.
We are looking for a Senior Backend Engineer to join our growing engineering team in Boston. In this role you will be building the backend systems that power LangSmith, LangChain’s observability and evals platform. You will work on the core services that allow our customer's developer teams to monitor and evaluate their AI applications at scale. While the focus is on backend feature development, familiarity with fullstack or frontend engineering, performance tuning, and debugging production issues would be valuable.
WHAT YOU'LL DO:
- Design, develop, and maintain backend services and APIs to support LangSmith’s tracing, monitoring, and evaluation workflows.
- Collaborate on architectural decisions to ensure systems are performant and maintainable.
- Optimize storage and query performance for high-volume observability and evaluation data.
- Ensure system reliability through strong testing, monitoring, and alerting practices.
- Troubleshoot and resolve production issues, performing root-cause analysis and implementing long-term fixes.
- Create and maintain technical documentation, including system design and API references.
- Work closely with full-stack engineers, product managers, and product designers on rolling out new features.
WHAT YOU'LL BRING:
- 4+ years of professional experience in backend engineering working on highly complex products
- Proficiency in one or more backend languages/frameworks, ideally Python and/or Go
- Strong understanding of API design and building reliable data services.
- Experience with high-throughput, mission-critical systems.
- Demonstrated ability to optimize backend services for performance and reliability.
- Experience with database systems (Postgres, Redis, Clickhouse), and cloud platforms (AWS, GCP, Azure) would be a bonus.
- Strong communication skills, with the ability to collaborate cross-functionally.
- Customer centricity and ownership mentality
Annual salary range: $170,000- $235,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: Almaty, Kazakhstan
Workplace: OnSite
WHY WORK AT HIGGSFIELD AI?
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $700M in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands.
We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.
ABOUT THE ROLE
We are looking for a Forward Deployed Engineer to be the technical-creative weapon behind our enterprise business.
This role is part cinematic director, part AI production engineer, part educator. You build the demos and proofs of concept that show Fortune 500 brands what's possible, then make those customers succeed in production: broadcast-grade cinematic work, repeatable workflows on the Higgsfield stack, and trained client teams that keep creating after the engagement.
The bar for this role is insanely high-quality cinematic knowledge and taste. You know why a shot works: lensing, lighting, blocking, camera movement, pacing, edit rhythm. And you know how to get that out of generative models, reliably, at commercial quality, on deadlines measured in days.
WHAT YOU'LL DO
SET UP ENTERPRISE CUSTOMERS FOR SUCCESS
- Convert client briefs into tailored, visually stunning demos and proofs of concept.
- Own the technical-creative side of pilots from kickoff to production rollout.
- Track the generative AI model landscape constantly so our work stays ahead of anything the client has seen.
DELIVER CINEMATIC WORK
- Direct and produce cinematic AI campaigns end-to-end for enterprise customers: creative direction, shot design, character and asset consistency, generation, edit, delivery.
- Set and defend a broadcast-grade quality bar that makes the platform look world-class in public.
BUILD PRODUCTION WORKFLOWS
- Turn one-off wins into repeatable pipelines: model chains, presets, prompt systems, automation (APIs, MCP, agentic workflows).
- Reverse-engineer reference ads, film looks, and visual styles into reproducible Higgsfield workflows.
EDUCATE AND ENABLE
- Train customer teams hands-on: live workshops, demos, documented workflows they actually use.
- Become a trusted creative-technical advisor to CMOs, creative directors, and production leads.
FEED THE PRODUCT
- Bring what you learn in the field back to Product, Engineering, and Research: gaps, failure modes, feature requests, new use cases.
YOUR MUST HAVES
- A portfolio of cinematic AI work at commercial quality. Portfolio first, we review every single one, and it matters more than your CV.
- 5+ years in commercial, film, or creative production; 2+ years hands-on with generative AI.
- Deep, current fluency across the generative stack: image and video models, consistency techniques, VFX and motion workflows. You can name the models, the pipelines, and exactly how you got each shot.
- Real cinematic craft: shot design, lighting, composition, storyboarding, editing. You can explain why a frame works, not just generate it.
- Proven client-facing delivery: pilots, PoCs, or commissioned productions taken from brief to finished high-end results on the client's timeline.
- Comfortable presenting to executives and running live demos under pressure.
- Ability to teach: you can make a non-technical creative team dangerous with these tools.
- High sense of ownership, drive and startup, can-do mentality. You are expected to get running on the ground from Day 1.
- High agency. Excellent English.
NICE TO HAVES
- Background in film, advertising, fashion, or e-commerce content production (director, DP, editor, creative director).
- Expert-level familiarity with each AI model, including Higgsfield's proprietary models, tools, plugins and skills
- Scripting or automation experience (Python, APIs, ComfyUI, MCP, agent pipelines).
- Prior forward deployed, solutions engineering, or sales engineering experience at an AI or creative platform.
- An existing audience or community in the AI creative ecosystem.
- Experience working with enterprise stakeholders and Fortune 500 brands.
THE DEAL
- Competitive salary in USD.
- On-site role in our Almaty office.
- Relocation to Almaty from anywhere: we sponsor and process your work permit, cover your flights, and provide temporary housing while you settle in.
- Full-time position.
Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Claude Code is changing how engineering organizations build software, and most of them need someone to show them how. That's you.
Technical Architects help customers get real work done with Claude Code, Claude Tag (Claude Code as an agent in Slack), and the enterprise admin controls that decide whether a rollout succeeds. You'll teach customers, partners and Anthropic's own field teams. Just as important, you'll train the trainers who carry that knowledge to everyone else.
We're hands-on AI engineers who would rather teach than sell. You'll work alongside customer engineering organizations, teaching them about Claude Code and shepherding rollouts with advanced admin knowledge. Most weeks you're in front of an audience with Claude Desktop or a terminal open: thousands of engineers on a public webinar one day, a customer's platform team in their own conference room the next week, office hours in between. The prep material often reaches you the day before.
The team is growing quickly this year, scope will grow as new products ship, and the people who join now will shape how it works.
Responsibilities
Teach in every format.
Take a standing rotation on Anthropic's public webinars in front of thousands of engineers at a time. Lead workshops and multi-day onsites, in person and virtual, built around a customer's own codebase and questions. Host office hours and multi-week cohorts where engineers, partners, and account teams bring live problems.
Teach the teachers.
Run train-the-trainer programs for customer technologists and champions, and certify them to deliver Anthropic's material.
Empower admins.
Educate enterprise admins on the technical requirements for a strong rollout by guiding them through single sign-on, permissions, connectors, spend controls, data-handling policy, and other advanced topics.
Build fast with Claude.
Turn a request into a polished deck, demo repository or plugin within a day, using the tools you teach. Explore new features the day they ship. Pick up a teammate's material and deliver it as if you wrote it.
Bring field signal back to product.
Tell the Claude Code, Claude Tag and Cowork teams what customers run into, specifically enough that they can fix it.
Be the technical voice in the room.
Partner with account executives, customer success managers, Applied AI Architects, support engineers and partner leads.
Travel.
Expect 30 to 50%, in bursts around onsites, workshops and events.
You may be a good fit if you have
5+ years as a software engineer, solutions architect, developer advocate or similar. You still ship code and regularly teach engineering audiences.
Current engineering range.
You've shipped code other people depend on. You can go deep with a senior engineer anywhere in the stack. You use Claude Code or a similar agentic tool every day and have opinions about it.
Big-stage presence.
You've held large live audiences. You sound practiced with material you got that morning, and a broken demo doesn’t faze you.
Range in one conversation.
You can go from banter to a rigorous design discussion, and both feel natural.
Care for people.
You do right by a struggling customer, and you won't leave a confused room behind.
Initiative.
You build things without waiting for permission, and you say when an idea is half-formed, including your manager's.
Steadiness
when priorities shift, timelines are short and colleagues are under pressure.
Comfort with ambiguity
in a fast-moving industry and product suite.
A stake in safe AI.
You care that large organizations deploy AI responsibly, and you want to help them do it.
You love being on the frontier.
You want to work at the edge of what’s possible and help define what comes next.
Strong candidates may also have
Depth in enterprise identity and security review (SAML, OIDC, SCIM, SOC 2, HIPAA).
Experience running Claude on Amazon Bedrock or Google Cloud Vertex AI.
Time with regulated industries or with systems-integrator partners.
A public record of technical teaching: talks, courses, videos or writing.
An interest outside technology you can talk about with the same energy.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$250,000
—
$365,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote (United States | Canada)
Workplace: Remote
1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing.
About 1Password
At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work.
If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future.
We're hiring a Frontend Developer to join our Developer and AI user interface team, where you'll build the controls and workflows that give developers and security teams visibility over how machine workloads, CI/CD pipelines, and AI agents access credentials at runtime.
How we’re using AI today
Our Engineering, Product, and Design teams are thoughtfully integrating AI across the full software and product development lifecycle to move faster without sacrificing quality or security. In practice, that looks like engineers using AI-assisted coding tools to accelerate reviews and catch bugs earlier, product managers synthesizing user research at scale, and designers rapidly prototyping and iterating with AI-generated mockups. We approach AI the same way we approach security: with clear principles, human accountability at every consequential decision point, and rigorous evaluation before anything ships to customers.
This is a remote opportunity within Canada and the US.
What we're looking for:
- 2+ years of experience in frontend software development; strong TypeScript fundamentals and experience with React or a comparable component-based framework
- Experience contributing to features end-to-end, from API contract through component implementation and unit tests
- Experience building complex form flows, including multi-step wizards, validation, error states, and async operations with sequential API calls and robust failure handling
- You care deeply about code quality and visual craft. You sweat the details, review work critically, and hold a high bar for what ships
- Working knowledge of accessibility fundamentals including keyboard navigation, ARIA, and screen reader considerations
- Familiarity with i18n workflows, including static string extraction and integration with a localization system
- Comfortable working iteratively. That means managing ambiguity, communicating progress clearly, and coordinating with cross-functional teams throughout the development cycle
Bonus points for:
- Experience with Electron or other desktop-targeted web runtimes
- Working knowledge of GraphQL — writing queries and mutations, managing fetch/refetch behavior with Apollo Client
What you can expect:
- Build UI for a developer-facing secrets management product, including CI/CD integrations, workload identity flows, and environment configuration
- Contribute to the auth prompt and autofill experience that users interact with every day across desktop and web surfaces
- Build new product surfaces including multi-step setup wizards, list/detail pages, and admin policy controls, implementing from Figma designs through to production-ready components
- Ship features incrementally, working collaboratively from scoping through launch, with visibility controls and policy checks shaping what different users see
- Follow established design system guidelines and contribute to component patterns, with component tests required alongside every feature as part of the PR process
- Collaborate with product, design, and infrastructure partners throughout the full development lifecycle, from planning and estimation through launch and iteration
- Review code and share knowledge with teammates, contributing to a team culture of high standards and constructive feedback
- Contribute to and maintain documentation on code processes, systems, and decisions to support team knowledge and scalability
- Participate in a rotating on-call schedule shared across the team
USA-based roles only: The annual base salary for this role is between $123,000 USD and $172,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
Canada-based roles only: The annual base salary for this role is between $111,000 CAD and $155,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set.
This posting is for an existing vacancy.
Our culture
At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first.
You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results.
How we work with AI
We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password.
This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others.
Our approach to remote work
We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events.
What we offer
We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer:
Health and wellbeing
👶 Maternity and parental leave top-up programs
🩺 Competitive health benefits
🏝 Generous PTO policy
Growth and future
📈 RSU program for most employees
💸 Retirement matching program
🔑 Free 1Password account
Community
🤝 Paid volunteer days
🏆 Peer-to-peer recognition through Bonusly
🌎 Remote-first work environment
*Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting.
You belong here.
1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love.
Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs.
Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you.
Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law.
1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.
Location: New York, NY
Workplace: Hybrid
ABOUT THE COMPANY
Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world.
You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Dragonfly, Bessemer Venture Partners, Galaxy Ventures, FirstMark, Lightspeed, Norwest, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk.
OUR ETHOS
We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company.
The Role
We are hiring a Compliance Associate to support our bank sponsorship relationships and the compliance workstreams behind new product and market expansion. You will sit at the center of Product, Engineering, Legal, and our sponsor banks: translating partnership agreements and regulatory requirements into concrete product requirements, preparing the documentation our bank partners rely on, and helping launches move quickly without compromising on compliance.
This is a high-visibility, execution-heavy role for someone equally comfortable reading a bank partnership agreement and sitting in a product spec review. You will see products from concept through launch and own the compliance record that makes each launch defensible.
What You'll Do
• Serve as a day-to-day compliance point of contact for sponsor bank partners — responding to diligence requests, preparing materials, and tracking open items to closure.
• Review new products, features, and market expansions for compliance impact, and translate applicable regulations and bank partner requirements into clear, actionable product requirements.
• Build and maintain compliance documentation: requirement matrices, policies and procedures, launch checklists, control descriptions, and risk assessments.
• Read and interpret bank partnership agreements, network rules, and regulatory guidance, and flag where product designs create obligations or gaps.
• Partner with Product and Engineering from the start of the design process so compliance requirements are built in rather than retrofitted.
• Support disclosure, marketing, and UX reviews for accuracy and consistency with consumer protection expectations (UDAAP, Reg E, Reg Z, Reg CC).
• Support bank partner oversight activities, audits, exams, and third-party risk assessments — including evidence collection, remediation tracking, and follow-up.
• Monitor regulatory and network developments relevant to card issuing, BaaS, and stablecoin-linked payments, and summarize the practical implications for the business.
• Track compliance deliverables and deadlines across multiple concurrent launches and stakeholders, escalating risks early and clearly.
What We’re Looking For
• 4+ years experience in compliance, risk, or regulatory roles within banking, fintech, or payments.
• Working knowledge of the bank sponsorship / Banking-as-a-Service (BaaS) model and third-party risk management expectations.
• Familiarity with core consumer financial regulations (e.g., BSA/AML, UDAAP, Reg E, Reg Z, Reg CC, EFTA, GLBA).
• Ability to read and interpret bank partnership agreements, regulatory guidance, and compliance requirements, and translate them into clear, actionable product requirements.
• Strong cross-functional collaboration skills — comfortable working directly with Product, Engineering, Legal, and bank partners.
• Excellent written communication skills, including experience creating compliance documentation (requirement matrices, policies, checklists).
• Detail-oriented with strong project management and organizational skills; comfortable tracking multiple deliverables and deadlines across stakeholders.
• Analytical mindset with the ability to assess compliance risk and prioritize issues.
Bonus Attributes
• Prior experience working directly with a sponsor bank or bank partnership team.
• Experience at a fintech, neobank, or payments company.
• Familiarity with product and project management tools.
• Professional certification such as CRCM (Certified Regulatory Compliance Manager), CAMS (Certified Anti-Money Laundering Specialist), or similar.
• Experience supporting bank exams, audits, or third-party risk assessments.
• Exposure to stablecoins, digital assets, or cross-border payments.
THINGS THAT ENABLE A FULFILLING, HEALTHY AND HAPPY EXPERIENCE AT RAIN:
Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves.
Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace.
Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan.
Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match.
Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success.
Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you!
In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit.
Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.
Location: United Kingdom
Workplace: Remote
Coder is looking for an Enterprise Account Manager to grow our diverse customer base. You’ll help bring Coder’s platform to some of the largest companies in the world, who are focused on executing AI-centric software development at scale. This role is about building trusted relationships, shaping deals, and making sure enterprise customers clearly see the value we deliver.
Day to day, you will manage the full sales cycle, from sourcing opportunities to closing contracts. You’ll work side by side with engineers, buyers, and internal partners to remove friction and move complex deals forward.
What you’ll do here
- Build and close a strong pipeline of enterprise accounts with large engineering organizations
- Generate qualified opportunities through outbound prospecting and inbound leads
- Lead compelling demos that differentiate Coder, and communicate our value with clarity and conviction
- Collaborate with Sales Engineers to deliver a thorough technical evaluation
- Partner with decision-makers and technical stakeholders throughout the sales cycle
- Travel as needed to support deals and customer relationships
What we’re looking for
- 5+ years in software sales with a strong prospecting background (ideally Developer, Agent, DevSecOps, or Cloud Native Computing Foundation (CNCF) technologies)
- 3+ years selling into Fortune 500 companies
- Experience engaging with software engineering leaders and technical decision-makers
- Understanding of DevOps, CI/CD, platform engineering, and developer tools
- Experience with GenAI & Agentic development tools (Cursor, Claude, Windsurf, Goose, Copilot, etc)
- Comfortable with outbound motion and partnering with Sales Engineers
- Track record of exceeding quota and pipeline goals
- Strong communication skills - written, verbal, and in presentations
- Familiarity with different sales cycles (startup, midsize, enterprise)
- Creative, analytical, and highly self-motivated
- Ability to travel up to 15%
Bonus tacos if you have
- A technical background or meaningful experience with open source software
- Curiosity about emerging AI workflows, developer tools, and general tech trends
About Coder
Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com.
Interview process
We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders.
AI use during the interview process
As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process.
Not permitted: Using AI assistance during conversational interviews.
Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly.
Coder is a proud Equal Opportunity Employer
We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.
ABOUT CODER
Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com.
INTERVIEW PROCESS
We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders.
AI USE DURING THE INTERVIEW PROCESS
As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process.
Not permitted: Using AI assistance during conversational interviews.
Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly.
OUR USE OF AI IN HIRING
We use AI tools to help manage our recruitment process efficiently and fairly. Specifically:
- Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first.
- Granola takes notes during our interview calls so our team can focus on the conversation with you.
All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models.
In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf.
If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.
CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER
We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.
Location: SF or Remote (US/Canada)
At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure.
Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users.
Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development.
We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you.
APPLYING TO RENDER
We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team.
We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed.
Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time.
ABOUT THE ROLE
We are looking for Render's first Forward Deployed Engineer to work hands-on with our most strategic customers. Our largest contracts and fastest-growing AI startups are scaling on Render, and this role provides them with a dedicated, concierge-level technical partnership. You will balance two motions: white-glove engagement with our top accounts, where you work closely with the customer's engineering team as a trusted technical partner, and scoped onboarding intensives that get high-growth startups confidently building on the platform. As the first FDE in our Field Engineering organization, you will define the playbook for this function, prove the model, and shape how it scales.
WHAT YOU'LL DO
- Work closely with Render's top accounts as their dedicated technical partner, providing concierge service across architecture reviews, migration planning, and hands-on delivery.
- Run scoped onboarding intensives for high-growth startups, from intake and success criteria through hands-on-keyboard execution.
- Lead the database side of customer engagements, including Postgres architecture, performance tuning, and complex data migrations from Heroku, AWS, and other cloud providers.
- Drive activation and expansion in strategic accounts: turn major credit grants into durable production adoption, surface expansion signals from your technical work, and partner with the account team to convert them into revenue.
- Own the ongoing technical relationship for your accounts: proactive architecture and health reviews, collaborative roadmap sessions, incident follow-up and RCA, and escalation point for hard technical problems, working closely with the account team.
- Build the FDE playbook: qualification criteria, engagement templates, success metrics, and reference architectures that make the program repeatable.
- Act as a high-signal feedback channel to product and engineering, translating customer friction into prioritized product input.
- Partner with Account Managers and Customer Engineers to ensure smooth handoffs after each engagement and durable long-term coverage.
WHAT WE'RE LOOKING FOR
- 8+ years in a hands-on, customer-facing engineering role: forward deployed, solutions, customer, or professional services engineering.
- Strong software engineering fundamentals; you can write production-quality code and work hands-on-keyboard inside a customer's codebase.
- Deep experience with cloud infrastructure: containers, CI/CD, networking, autoscaling, and running real workloads in production.
- Deep Postgres and database expertise: schema design, performance tuning, replication, and production data migrations. Our largest engagements consistently turn on this skill set.
- AI fluency: you work with AI tools daily to accelerate your own delivery, and you understand LLM application architectures well enough to guide the teams building them.
- Excellent communication with everyone from startup founders to enterprise platform teams, including executive-level conversations.
- Self-directed and comfortable with ambiguity; you can stand up a new function without an existing playbook.
- Commercial instincts: you understand how technical wins connect to expansion, renewal, and revenue.
NICE-TO-HAVES
- Migration experience from Heroku, AWS, or other clouds onto modern platforms.
- Hands-on experience shipping AI and LLM applications (RAG pipelines, agent frameworks, inference workloads); many of our fastest-growing accounts are AI-native.
- Prior experience as the first hire in a role or a founding member of a new program.
If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need.
BENEFITS
- 4 weeks of paid vacation.
- 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return.
- Long-term disability, life insurance, and 401K plans.
- 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well.
- Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc.
- Monthly cell phone and internet subsidy.
- Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders.
- Continuous learning benefits & related support.
This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization.
Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
We encourage all who are interested to apply. We can't wait to hear from you!
Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view
Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view
Location: New York, NY (HQ)
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
Corporate Security at Ramp owns the security of our internal environment: the device fleet, the identity and access layer, and the AI tools employees use for their work. We are hiring a Systems Engineer to build and operate the controls across these systems.
The role is hands-on, writing code and building agentic loops wherever possible rather than solving problems manually. You will help manage device configuration and patching via configuration-as-code, authentication and authenticator policies in Okta, network and gateway enforcement in Cloudflare, and the controls around our enterprise Claude and OpenAI deployments. These systems overlap heavily in practice, and the work is largely about integrating them and automating what would otherwise be manual administration.
You will report to the Corporate Security lead and work closely with IT, Security Engineering, and AI DevX.
WHAT YOU'LL DO
- Maintain update policies for both OS and software, and monitor the fleet so that newly introduced applications are brought into the patching cadence
- Build automation for endpoint security agent remediation across EDR, DLP, VPN, and similar tooling — detecting missing, stale, or unhealthy agents and bringing devices back into compliance
- Maintain device configuration baselines as code, including drift detection and hardening standards
- Configure authentication and authenticator policies in Okta: SSO, MFA and authenticator enrollment, device trust, and conditional access
- Remediate identity posture gaps surfaced by ISPM tooling: stale accounts, orphaned service principals, over-scoped OAuth grants, MFA gaps, and excess privileges
- Implement and operate controls for enterprise AI usage, including identity-aware access, logging and retention, DLP where appropriate, and enforcement
- Automate across these platforms using their APIs, build reporting on control coverage, and document how the controls you build are operated
WHAT YOU NEED
- 3–5 years of experience in Client Platform Engineer/Endpoint Engineering, Identity Access & Management, or Corporate Security
- Hands-on macOS management at scale: MDM (Jamf, Fleet, Kandji, or equivalent) and macOS update mechanisms
- Working knowledge of an identity provider (Okta or similar): SSO, authentication and authenticator policies, SCIM provisioning, and conditional access
- Scripting ability in Python, Go, or Bash, and experience automating against platform APIs
- Experience with EDR and endpoint vulnerability management (CrowdStrike or similar)
- Ability to evaluate tradeoffs between technical enforcement, policy, and user friction, and to explain those tradeoffs clearly
NICE TO HAVE
- osquery and Fleet, or other query-based fleet visibility tooling
- Identity posture management (ISPM) tooling, or access review and governance platforms
- Cloudflare Zero Trust, or other proxy, DNS, or network-layer enforcement, including TLS inspection
- Exposure to AI and LLM security concerns: agent authorization, tool calls, model gateways, data leakage through AI tooling
- Infrastructure-as-code and CI/CD experience (Terraform, GitHub Actions)
- Windows fleet management alongside macOS
- Compliance frameworks (SOC 2, PCI) as they apply to endpoints and access
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: New York, New York
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE:
As Notion’s product surface expands, we need a builder-teacher who can turn new capabilities into technically accurate education that helps customers confidently build with Notion. In this role, you’ll explore Notion’s newest capabilities, teach by showing, and ship as the product evolves. You’ll be the technical face of Notion Academy: leading workshops, recording walkthroughs, and building implementation guides.
This role is based in New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.
WHAT YOU'LL ACHIEVE:
- Expand Notion’s technical education library. Author technically rigorous Academy content, implementation guides, and Help Center resources that make our most complex capabilities easier to understand and adopt.
- Become a trusted voice for Notion Academy. Teach customers through video, live webinars, and workshops, demonstrating real workflows and solving problems in real time.
- Build with Notion’s newest capabilities. Get hands-on with new product features, use customer insights to identify high-value use cases, and determine top priority workflows for education to focus on.
- Reimagine learning with AI. Experiment with adaptive, contextual learning experiences that respond to what customers are trying to build and where they need help.
- Prove and scale the impact of technical education. Use product adoption signals to measure impact and improve what we teach, then build reusable standards to help the team deliver effective technical learning faster.
SKILLS YOU'LL NEED TO BRING:
- Builder mindset: You learn new product features by getting hands-on, experimenting, and building until you understand.
- Comfort navigating technical content: you don’t need to write code, but you can read a technical architecture doc, identify what’s outdated, and work with engineers to fix it.
- Customer-facing credibility: You’re comfortable teaching, building, and troubleshooting in front of customers.
- AI experimentation: You actively use AI to build, learn, and teach technical proficiency.
- Product expertise: You can quickly understand a new feature, identify where it creates meaningful customer value, and turn that into practical use cases.
NICE TO HAVES:
- Notion product expertise
- Experience in a customer-facing technical role, such as solutions architecture, sales engineering, developer relations, or technical enablement
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in New York City, the estimated base salary range for this role is $135,000 - $180,000 per year.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528.
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: Paris
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
THE ROLE
As an Applied AI Engineer, your mission is to make Mistral AI-native from the inside. You lead the design and delivery of production-grade AI systems in rapid cycles, building the iconic use case for multiple department (eg: GTM, HR, Engineering, Finance, ect) in your portfolio. You sit where product, engineering and the business overlap, turning advanced technology into real-world solutions that move a metric.
You translate complex, often ambiguous business requirements into engineered solutions that work at scale. You act as the technical lead for your departments and contribute as an Individual contributor you guide the technical choices, build the solution end to end, drive adoption, and keep improving it. Your goal is to build clients trust, and deliver high ROI solutions, not a hit-and-run POC.
WHAT YOU WILL DO
- Run discovery with department heads and key users, map their workflows, and turn ambiguous needs into a prioritized use-case backlog with clear expected value.
- Deliver end to end: design and ship production-grade full-stack apps (Python/FastAPI, React) and AI systems, from scoping through deployment and adoption.
- Encode business rules, KPIs and ROI metrics as durable datalake assets and app logic, so your departments run on trustworthy, observable data.
- Dogfood the latest Mistral products as a first internal user, and turn what you learn into credible product feedback that shapes the roadmap.
- Own architecture for your surface: keep it scalable, secure and observable, with a high bar on clean code.
- Spot patterns across departments and lift one-off solutions into reusable building blocks.
WHAT WE'RE LOOKING FOR
- At least 3 years building and deploying production AI software.
- Strong full-stack engineer: Python/TypeScript, scalable backends (FastAPI/Node), and enough frontend (React/Vue) to ship a usable app yourself.
- Hands-on with modern GenAI use cases: RAG, agents, workflows, orchestration and evaluation.
- Strong command of vibe-coding tools, paired with genuine care for clean code and architecture: speed without slop.
- Strong ownership and a bias for delivery. This is made for high-velocity engineers who already have experience.
- Fluent in AI-native tools (Slack, Linear, etc.).
- Passionate about solving customer problems. Here, your customers are Mistral's own teams.
- Excellent communication in fluent English: you can explain a technical idea to a lawyer, a marketer and a staff engineer in the same afternoon.
NICE TO HAVE
- Exposure to Legal, Public Affairs, Marketing or Compute/Infra domains, or a track record of getting fluent in an unfamiliar domain fast.
- Data engineering or analytics experience (warehouse modeling, dbt, dashboards).
- Contributions to open-source projects, especially around LLMs.
- A builder's instinct for internal tooling and platform reuse.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: New York, New York, United States
Artificial Intelligence Engineer - Vice President
Department: Software Engineering
About the Role
iCapital is seeking a Vice President Artificial Intelligence Engineer to lead the design, development, and delivery of production-grade AI systems that drive measurable business outcomes across the firm. This individual will own key workstreams and serve as a technical leader, driving system design, mentoring engineers, partnering directly with business stakeholders, and ensuring that AI capabilities are built to production-grade standards of reliability, scalability, and measurability. The ideal candidate is a seasoned engineer with a track record of shipping complex AI systems end-to-end and someone who combines deep technical expertise with strong cross-functional partnership, architectural judgment, and able to operate as a force multiplier for the team. This role is expected to bring independent judgment on a technical approach, a bias toward delivery, and able to translate ambiguous business needs into well-scoped, well-executed solutions.
Responsibilities
Lead the architecture and delivery of production AI systems, including document intelligence (IDP), intelligent knowledge systems, agentic orchestration, conversational AI, and generative AI applications, to power internal and external business processes, digital experiences, and workflow automation at scale.
Own AI projects end-to-end, from problem scoping and stakeholder alignment through solution design, implementation, deployment, monitoring, and continuous improvement, delivering tangible business outcomes with a track record of consistent, high-quality delivery.
Drive technical design and architectural decisions for the team, including API design, system decomposition, evaluation strategy, and infrastructure patterns, establishing standards that raise the quality bar across the AI/ML platform.
Architect and champion robust evaluation frameworks for AI systems, defining statistically sound, problem-specific metrics, curating benchmark datasets, and enforcing strict versioning to ensure reproducibility and continuous improvement.
Partner directly with cross-functional stakeholders, including the Product, Operations, Legal, and Business teams, to identify AI opportunities, translate requirements into technical plans, and communicate tradeoffs, risks, and recommendations clearly.
Mentor and develop engineers on the team through code review, design review, pair problem-solving, and knowledge sharing, acting as a technical role model and raising the overall capability of the group.
Identify systemic problems and propose solutions, proactively improving team processes, tooling, and infrastructure to reduce technical debt and increase development velocity.
Qualifications
7+ years of experience developing and deploying production AI/ML systems, including cloud-native solutions on AWS or similar platforms, with a proven track record of delivering complex applications from design through production
Strong proficiency in Python and software engineering best practices, including source control, CI/CD, testing, documentation, and the development of scalable, maintainable software
Deep expertise building production AI solutions, including LLM applications, AI agents, retrieval-augmented generation (RAG), conversational AI, document intelligence, and agentic workflows, with hands-on experience using modern AI frameworks, tooling, and protocols such as MCP and A2A
Experience designing, deploying, and operating end-to-end machine learning pipelines, including model training, deployment, monitoring, evaluation, and continuous improvement in production environments
Strong foundation in statistics, experimentation, data quality, and AI system evaluation, with experience developing benchmarks, defining performance metrics, analyzing errors, and optimizing systems for accuracy, reliability, scalability, cost, and latency
Experience leading technical design and architectural decisions, conducting code and design reviews, mentoring engineers, and driving engineering excellence across teams
Excellent written and verbal communication skills, with the ability to document technical solutions, collaborate with cross-functional stakeholders, and communicate complex concepts to both technical and non-technical audiences
Experience spanning multiple AI domains, including LLM systems, document intelligence, and ML platforms or infrastructure
Experience in financial services or FinTech, particularly within document-heavy, regulated, or compliance-sensitive environments is preferred
Contributions to open-source projects, technical publications, conference presentations, patents, or other demonstrated thought leadership in applied AI and machine learning is preferred
Benefits
The base salary range for this role is $170,000 to $210,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit
https://www.icapitalnetwork.com/about-us
Twitter: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
| Awards Disclaimer:
https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Location: New York, New York, United States
Artificial Intelligence Engineer - Assistant Vice President
About the Role
iCapital is seeking an Assistant Vice President Artificial Intelligence Engineer to design, develop, and deliver production-grade AI systems that drive measurable business outcomes across the firm. This role is expected to bring sound judgment on technical approach, a bias toward delivery, and able to translate ambiguous business needs into well-scoped, well-executed solutions. The ideal candidate is an experienced, hands-on engineer with a track record of shipping complex AI systems end-to-end and someone who combines deep technical expertise with strong cross-functional partnership, architectural judgment, and able to operate as a force multiplier for the team. This individual will own AI projects and defined workstreams, contribute to system design and technical decisions, partnering directly with business stakeholders, and ensuring that AI capabilities are built to production-grade standards of reliability, scalability, and measurability.
Responsibilities
Design and deliver production AI systems, including document intelligence (IDP), intelligent knowledge systems, agentic orchestration, conversational AI, and generative AI applications, to power internal and external business processes, digital experiences, and workflow automation at scale.
Own AI projects end-to-end, from problem scoping and stakeholder alignment through solution design, implementation, deployment, monitoring, and continuous improvement, delivering tangible business outcomes with a track record of consistent, high-quality delivery.
Contribute to technical design and architectural decisions for the team, including API design, system decomposition, evaluation strategy, and infrastructure patterns, following and contributing to team engineering standards across the AI/ML platform.
Develop and apply robust evaluation frameworks for AI systems, defining statistically sound, problem-specific metrics, curating benchmark datasets, and enforcing strict versioning to ensure reproducibility and continuous improvement.
Partner directly with cross-functional stakeholders, including the Product, Operations, Legal, and Business teams, to identify AI opportunities, translate requirements into technical plans, and communicate tradeoffs, risks, and recommendations clearly.
Support and mentor junior engineers on the team through code review, design review, pair problem-solving, and knowledge sharing, acting as a technical role model and raising the overall capability of the group.
Identify systemic problems and propose solutions, proactively improving team processes, tooling, and infrastructure to reduce technical debt and increase development velocity.
Qualifications
5+ years of experience developing and deploying production AI/ML systems, including cloud-native solutions on AWS or similar platforms, with a proven track record of delivering complex applications from design through production
Strong proficiency in Python and software engineering best practices, including source control, CI/CD, testing, documentation, and the development of scalable, maintainable software
Deep expertise building production AI solutions, including LLM applications, AI agents, retrieval-augmented generation (RAG), conversational AI, document intelligence, and agentic workflows, with hands-on experience using modern AI frameworks and tooling
Experience designing, deploying, and operating end-to-end machine learning pipelines, including model training, deployment, monitoring, evaluation, and continuous improvement in production environments
Strong foundation in statistics, experimentation, data quality, and AI system evaluation, with experience developing benchmarks, defining performance metrics, analyzing errors, and optimizing systems for accuracy, reliability, scalability, cost, and latency
Experience contributing to technical architecture and design discussions, conducting code and design reviews, and mentoring or supporting the growth of other engineers
Excellent written and verbal communication skills, with the ability to document technical solutions, partner effectively with cross-functional stakeholders, and communicate complex concepts to both technical and non-technical audiences
Experience in financial services or FinTech, particularly within document-heavy, regulated, or compliance-sensitive environments is preferred
Contributions to open-source projects, technical publications, conference presentations, patents, or other demonstrated thought leadership in applied AI and machine learning is preferred
Benefits
The base salary range for this role is $120,000 to $170,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit
https://www.icapitalnetwork.com/about-us
Twitter: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
| Awards Disclaimer:
https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Location: United States
Mattermost is the leading collaborative workflow platform for defense, intelligence, security, and critical infrastructure. Trusted by the U.S. Department of War and Fortune 500s, our platform runs on-premises and in private clouds, delivering secure messaging, file sharing, workflow automation, audio/screenshare, and project management—all with full data and operational control. Mattermost powers high-stakes workflows across mission planning, real-time, real-world operations, DevSecOps, incident response, and cyber defense—enabling secure collaboration from tactical edge and DDIL environments to enterprise HQ. Teams operate across web, desktop, and mobile, with embedded interoperability for Microsoft Teams, Outlook, and Microsoft 365.
To learn more, visit
www.mattermost.com
We are seeking a
Senior Mobile Engineer
to take ownership of the Mattermost mobile experience for teams working in defense, intelligence, and critical infrastructure. Our users operate in DDIL environments where connectivity may be disconnected, denied, intermittent, or limited, security is non-negotiable, and the software they depend on has to keep working.
Our mobile app is primarily React Native and TypeScript today, with native iOS and Android integrations. Your immediate focus will be making that experience more reliable and performant. Over time, you'll also help shape the next generation of our cross-platform mobile architecture.
You'll work hands-on across application and native layers, partner closely with platform and feature teams, work directly with customer-facing teams on field reports from constrained environments, and help raise the bar for how we observe, diagnose, and build mobile software.
Responsibilities
Reliability and Performance
Architect the app for DDIL and other constrained network environments
Improve data and functional reliability across connection lifecycle, synchronization, recovery, and failure scenarios
Own crash-free and release-health outcomes, using telemetry to proactively identify regressions and drive them through diagnosis to resolution
Profile and improve performance across startup, networking, storage, rendering, memory, and battery usage
Mobile Platform Ownership
Own critical iOS and Android integrations and the boundaries between native and cross-platform code
Maintain and evolve platform capabilities including push notifications, background execution, secure storage, app lifecycle, and real-time communications
Build within mobile distribution and device-management constraints, including App Store, enterprise and MDM deployment, AppConfig, and Intune MAM
Diagnose production issues from native traces, telemetry, device profiling, and sparse field logs
Make architecture recommendations that balance near-term delivery with the long-term direction of the mobile platform
Craft and Delivery
Mentor engineers on mobile architecture, reliability, performance, and platform best practices
Uphold security and compliance standards required by government and enterprise customers
Contribute to the open-source codebase
Use AI coding tools effectively, applying strong engineering judgment to increase output without compromising reliability or quality
What We Are Looking For
We care about what you've built and the problems you've solved — not how long you've been building. If you have strong outcomes to speak to in mobile engineering, we want to hear from you.
Required:
Deep expertise in iOS or Android development, with strong working knowledge of the other platform
Strong understanding of mobile architecture, platform SDKs, lifecycle constraints, and networking fundamentals
Experience building reliable mobile systems that behave predictably through unreliable connectivity, local state changes, synchronization, and recovery
Strong mobile performance profiling and production debugging skills on real devices
Experience using production data, crash metrics, and release-health signals to drive reliability improvements
Experience making architecture recommendations and owning technical outcomes
Ability and willingness to work across native and cross-platform codebases
AI fluency and experience using coding agents to increase engineering output while applying judgment to ensure reliable outcomes
Preferred:
Experience with React Native and TypeScript
Experience with mobile persistence, synchronization, or offline-capable systems
Experience with real-time communications or platform media frameworks such as WebRTC, CallKit, or Android audio APIs
Experience with enterprise mobile distribution, MDM, AppConfig, or Intune MAM
Experience building mobile software for security-sensitive, regulated, or operationally constrained environments
Open-source contributions
Why Mattermost
Mission-driven work:
Your contributions directly support the organizations and missions that depend on secure, reliable collaboration including the U.S. Department of War and critical infrastructure operators worldwide
Remote-first culture:
Work from anywhere with a globally distributed, high-trust team built for autonomy and ownership
AI-forward environment:
We actively adopt and build AI-enabled workflows. Agentic development is core craft here, not a novelty
End-to-end ownership:
Ship and own complex software across the full stack with real accountability for what you build
Open source at the core:
Be part of a vibrant developer community shaping the future of secure collaboration
Target Salary Range: $165,000 – $215,000
Mattermost takes a market-based approach to pay and pay may vary depending on your location. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.
Mattermost offers a remote-first work environment with medical, dental, and vision coverage. You’ll also receive unlimited PTO plus company holidays, a work from home stipend, an annual learning and development budget for conferences, certifications, and courses, paid parental leave for all parents, and a 401(k) plan.
U.S. Eligibility & Compliance
This role may require obtaining and maintaining a U.S. government security clearance. Candidates must meet federal eligibility requirements to be considered.
Applicants must meet eligibility requirements for access to export-controlled information as defined by U.S. export control laws, including EAR and ITAR. For more information visit the
Bureau of Industry and Security
and the
Directorate of Defense Trade Controls
.
Mattermost is an EEO Employer, we are a remote-first, open-source company.
We are continually working to expand our hiring in more countries and regions, ensuring compliance with local laws and regulations, which takes time.
Mattermost values your unique perspective—we welcome all applicants. We encourage individuals from all backgrounds to apply and are committed to assessing candidates based on their skills and qualifications. We do not tolerate discrimination against staff or applicants based on race, religion, national origin, age, disability, pregnancy status, veteran status, or other personal characteristics.
If you require accommodations during the interview process, please let us know—we’re happy to assist.
Location: Hybrid - San Francisco, New York City, Austin
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role
The Partner Team at Vercel is charged with creating mutual success for Vercel, our partners, and our customers. We are seeking a Senior Manager, Partner Programs to build and scale the programs, infrastructure, and operating model that turn Vercel's partner strategy into repeatable, high-leverage execution across our entire partner ecosystem, including SIs, GSIs, ISV co-sell, and product partners.
Reporting to the VP of Partnerships, this person owns how partner strategy gets operationalized: designing the shared systems, journeys, and enablement that every partner type moves through, so partner leadership and partner managers can focus on strategy, relationships, and growth rather than rebuilding infrastructure partner-by-partner.
This is a hybrid position, with a required 3 days per week in one of our San Francisco, Austin, or New York City offices.
What you'll do
Own the partner journey framework: design and continuously improve the shared journey every partner moves through, from Acquisition to Onboarding to Activation to Acceleration, including eligibility criteria, intake paths, incentives, tiering, and agreements.
Lead partner enablement & certification: own the roadmap and delivery model for partner onboarding, training, certification, and badging programs, partnering with PSE and GTM Enablement on technical training content.
Establish governance & standards: define tiering, KPIs, and rules of engagement across partner types, and drive consistent standards across Partnerships, Sales, Marketing, Product, and Customer Success.
Design repeatable GTM plays: build co-sell, pipeline-generation, and joint go-to-market motions that scale successful partner plays rather than reinventing them per relationship.
Run partner communications & community: own ongoing partner comms, news, meetups, summits, self-serve co-marketing kits, and the Partner Advisory Board with its feedback loops.
Use data to evolve programs: evaluate program and partner performance using data and partner feedback, and recommend where programs should expand, simplify, or retire.
Act as the execution arm of partner strategy: translate partner leadership's priorities (enterprise, agentic pipeline, scale) into clear, resourced programs and roadmaps.
What you need
6+ years in partnerships, partner programs, ecosystem enablement, or GTM strategy roles, in AI / Developer tooling.
Proven experience and results building and scaling partner programs.
Strong understanding of the developer, modern web, and AI agent ecosystem.
Experience with PRM systems, marketplaces, or partner ecosystem tooling.
Ability to translate ambiguous strategy into concrete, scalable programs and measurable execution.
Strong cross-functional leadership; comfortable driving alignment across Partnerships, Sales, Marketing, Product, and Customer Success without direct authority.
Data-driven approach to evaluating program performance and partner feedback.
Clear, confident communicator capable of building tools, content, and playbooks that other people can execute consistently.
Bonus if you have
Experience designing governance, tiering, or certification frameworks for multiple partner types simultaneously (SIs, ISVs, GSIs, resellers).
Exposure to AI/ML, devtools, cloud, or SaaS startup ecosystems.
Experience standing up or migrating PRM/marketplace infrastructure.
Benefits & Compensation:
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The San Francisco, CA on-target earnings (OTE) range for this role is $175,000 - $230,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Location: Hybrid - San Francisco, New York City, Austin
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role
Vercel is hiring a Strategic Product Partnerships Lead to develop first-of-a-kind partnerships that inflect the company's growth. Done well, these partnerships open distribution for our products, create new pipeline for our field teams, and/or add new capabilities to our platform. This is a highly cross-functional and technical role: you will spend as much time with product and engineering leaders as with commercial ones, internally and externally.
You will report to the Head of Strategic Partnerships and own a named set of partners that includes hyperscalers, frontier AI labs, silicon vendors, and commerce and enterprise software platforms. The work takes a different shape with each one, but the common thread is that these partnerships live close to the product: embedding Vercel inside a partner's platform, co-building new products, taking a joint offering to enterprises that neither company could sell alone.
This is a hybrid position, requiring 3 days per week (Monday, Tuesday, Friday) in one of our San Francisco, Austin, or New York City offices.
What you'll do
Own a named set of strategic partners end to end, from first conversation through signed agreement to launch and growth
Identify and develop new partnerships with the companies that matter most to Vercel's strategy across AI, cloud, commerce, and enterprise software
Build the business case: size the opportunity, scope the product and engineering investment it requires, and give leadership a clear recommendation, including when the recommendation is to pass
Lead negotiations end to end, structuring commercial agreements that are new to Vercel and often new to the partner: revenue share, embedded pricing, co-sell commitments, marketplace terms
Lead cross-functional teams across Product, Engineering, Sales, Marketing, Finance, and Legal to take a signed agreement to launch
Run deals with structure: clear milestones, agreed measures of success on both sides, and the judgment to stop the ones that are not working
What you need
8+ years developing, negotiating, and executing complex commercial agreements, ideally at a platform, infrastructure, cloud, or developer tools company
A track record of initiating partnerships that had no precedent, with companies significantly larger than your own. You can walk through the terms you won and the ones you gave up
Experience structuring deals with significant technical surface area: platform integrations, embedded or whitelabeled product, licensing, infrastructure and compute commitments. You can hold a credible conversation with a partner's product and engineering teams about agents, inference, model routing, and cloud infrastructure
Experience creating and driving strategy, and getting an organization to fund it
Comfortable leading cross-functional teams you do not manage, through Product, Engineering, Legal, Finance, and Sales
Strong agency and comfort with ambiguity. You decide what to work on and can defend the choice
Excellent written and verbal communication with executives on both sides of the table
Bonus if you
Have done partnerships at or with a hyperscaler, a frontier AI lab, or a large commerce or enterprise software platform
Have structured technology licensing, OEM, or embedded distribution agreements
Started in a technical role (engineering, solutions architecture, or technical product) before moving into commercial work
Compensation & Benefits:
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The San Francisco, CA salary range for this role is $194,000 - $237,000, plus an annual company target bonus. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
ОфисseniorBoston, MA; New York, NY
ОфисAlmaty, Kazakhstan; Relocation to Almaty from anywhere: we sponsor and process your work permit, cover your flights, and provide temporary housing while you settle in
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Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
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Work closely with teammates across time zones (primarily US/Canada, with close collaboration across EU and India-based colleagues on adjacent squads); Strong communication skills: ability to write clear technical documents, work autonomously, and collaborate across teams and time zones
УдалённоUnited Kingdom
География найма не уточнена
ГибридRelocation expense coverage to NYC or SF (if needed)
ГибридNew York, New York
Paris; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
