Location: New York; San Francisco
ABOUT US:
AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
THE ROLE:
We're building a platform that covers the whole life of an LLM: training it, deploying it, and observing it in production. We already run multi-node training, elastic inference, sandboxes, and distributed volumes, and we control the infrastructure underneath. We’re looking for research depth in post-training to sit alongside our systems and product work.
WHAT YOU'LL DO:
We are looking for research scientists with a strong track record in reinforcement learning, machine learning, and foundation models, including large language and multimodal models, to join our research team. This role is well suited to candidates interested in improving existing methods and developing new techniques for large-scale model training, optimization, and inference, extending models to long-context and long-horizon tasks, and improving inference-time efficiency, reliability, and robustness in high-stakes real-world deployments.
PREFERRED QUALIFICATIONS:
- A PhD in computer science, machine learning, or a related field. Candidates with a master’s degree and significant research or industry experience will also be considered.
- A demonstrated record of research accomplishments in reinforcement learning, machine learning, foundation models, or related fields.
- Experience with large-scale training and inference infrastructure, including distributed systems and multi-node GPU clusters.
- Experience developing, training, optimizing, or deploying state-of-the-art large-scale models.
- First-author publications at leading venues such as NeurIPS, ICML, ICLR, CoRL, CVPR, UAI, JMLR, or TMLR.
- A mission-driven mindset and a strong desire to translate research advances into meaningful product impact.
- A collaborative spirit and the ability to work effectively across research and engineering teams.
Location: New York; San Francisco
ABOUT US:
AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
THE ROLE:
Most of the value of owning a model shows up at serving time. We're building a platform that covers the whole life of an LLM -- train it, deploy it, observe it -- and inference is where teams feel the difference every day. We already run elastic inference, sandboxes, distributed volumes, and multi-node training, and we control the infrastructure underneath, so the serving stack is ours to shape rather than something we resell.
You will do hands-on inference research at Modal, working with the research lead to pick high-impact bets and owning them end to end. The bets that matter most are the ones that move cost per token and tail latency on the workloads our customers actually run.
WHAT YOU'LL DO:
- Own end-to-end inference research bets: speculative decoding, disaggregated prefill/decode, quantization (FP8, INT4), KV-cache and memory management, autoscaling for spiky serverless traffic, and whatever else the research agenda calls for.
- Train custom speculators against real production traffic and feed what you learn back into target models -- acceptance length is the metric that decides the win.
- Work directly with customers alongside our Forward Deployed Engineers to deploy and tune models, and bring what you learn back into the research.
- Carry and expand collaborations with outside research labs, for example:
- our work with ZLab on DFlash https://modal.com/blog/spec-is-all-u-need, a speculator design built on KV injection and blockwise parallel drafting
- our work with SGLang on specdec https://modal.com/blog/host-overhead-inference-efficiency and multimodal inference https://modal.com/blog/boosting-multimodal-inference-performance-by-greater-than-10-with-a-single-python-dictionary performance
- our work on Flash Attention 4 kernels https://modal.com/blog/flash-attention-4-faster
- Work with engineering to turn frontier serving techniques into products: primitives for disaggregation, fast weight refresh for models that keep training after deployment, observability for quality and latency in production, or even a next-generation inference engine.
- Help shape the research agenda. None of the above is prescriptive; your work will help guide our future.
REQUIREMENTS:
- A research-leaning or systems background in LLM inference, with work you can point to.
- Fluency in the LLM serving stack, from kernels and quantization up to schedulers and autoscaling.
- A record of shipping research or systems that other people build on, whether in a lab or in industry.
- The drive to independently take a research bet from idea to result, working in the open with the rest of the team.
- Ability to work in-person, in our NYC or San Francisco office.
About Supabase
Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution, including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.
About the team
Management API, written in TypeScript, Nest.js and other JavaScript technologies, is a central part of every product in the Supabase stack. It allows all Supabase services and Supabase Studio to communicate with each other, programmatically manage your own Supabase projects and organisations, as well as integrate with 3rd party services like Vercel, Resend, or Lovable.
You will:
— Design, implement, and maintain both internal and public-facing APIs used across various Supabase products, including Studio, CLI, management APIs, and OAuth applications.
— Integrate with third-party platforms and partners, either by developing custom integrations or providing clear API points for them to connect with Supabase.
— Collaborate closely with various teams across Supabase (DevOps, Frontend, etc.) to ensure smooth integration and implementation of API functionality for the rest of the platform.
— Build and enhance testing, debugging, and monitoring tools to ensure public APIs' stability, reliability, and performance.
— Work with the dev-workflows team to enhance and improve the Branching experience, making it easier and more valuable for Supabase users.
You have:
— 5+ years of experience in backend API development, with strong expertise in TypeScript and JavaScript (Node.js) and familiarity with modern tools and frameworks (e.g., Nest.js, Express, Vitest, Zod).
— Expertise in designing robust, scalable, and maintainable APIs, and experience with API versioning, pagination, and error handling best practices.
— Experience with OAuth, JWT, and API security best practices (rate limiting, CORS, etc.) is a plus.
— Good understanding of PostgreSQL and relational databases.
— Proven ability to build scalable, maintainable APIs and develop tools for testing, debugging, and monitoring API performance.
— Understanding of CI/CD pipelines, Docker, and containerized deployments to streamline API development, testing, and release processes.
What We Offer
— Fully Remote: We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.
— ESOP: Every team member receives ESOP (equity ownership) in the company.
— Tech Allowance: Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.
— Health Benefits: Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are.
— Annual Off-Sites: Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun.
— Flexible Work: We operate asynchronously and trust you to manage your own time.
— Professional Development: Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.
About the Team
Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. 280+ team members, 55+ countries, 20+ languages spoken, $500M raised, 500,000+ community members. We move fast, build in public, and use what we ship. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.
Hiring Process
We keep things simple, async-friendly, and respectful of your time:
— Apply – Our team will review your application.
— Intro Call – A short video chat to get to know each other.
— Interviews – Up to four calls with: Team Leads, Future teammates, Someone cross-functional from product, growth, or engineering (depending on the role), Someone from our leadership/founding team.
— Decision – We may follow up with a final question or go straight to offer. All communication is remote and we aim to move fast.
Location: Canada; Calgary; Winnipeg; Vancouver; Halifax; Edmonton; Ottawa; Toronto; Victoria; Montreal
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Why this role?
This role will focus on evaluating data science and coding tasks, requiring you to review and debug code, analyze model trajectories, and assess data visualization script development and logical flow implementation. Your work will contribute to our model development efforts and the logic our models apply when completing task requests.
Please note: This is a part-time independent contractor position available within Canada. We seek candidates who are able to commit to 16 hours per week minimum at a 40 CAD/hour contract rate. This role is BYOD 💻 - Bring Your Own Device (laptop). Remote work within Canada. 12 month contract.
As a Data Annotation Specialist, you will:
- Evaluate the model's ability to respond to coding requests, workflows, and code base-related questions using available tools.
- Assess agent trajectories and model capabilities for code generation, tabular and graphic manipulation, and debugging requests.
- Prompt models to complete complex data science tasks and review the accuracy of generated responses.
- Label, proofread, and improve machine-written and human-written software engineering-related outputs.
- Report quality and performance trends related to model/agent behaviour and project assignments.
You may be a good fit if you have:
- Exceptional data analysis and visualization skills.
- 3+ years of relevant industry experience working on real-world data science problems and pipelines.
- Proficient knowledge and understanding of Python and industry-standard data science packages (numpy, pandas, matplotlib, sqlite, or others).
- Strong understanding of SQL syntax writing and workflows; and a deep familiarity with file/data formats, such as markdown, JSON, XML, YAML, and HTML.
- Prior experience re-writing, proofreading, and delivering feedback on code.
- Familiarity with code agents (OpenCode, Claude Code, Codex) or evaluating agent trajectories is a plus.
The Candidate Journey:
- Initial Screening: Our Talent Team will review your application.
- First Assessment: If selected to move forward, you’ll receive a multiple-choice assessment by email.
- Second Assessment: Candidates who achieve a passing score will be contacted by a member of our team to complete a more comprehensive assessment focused on their area of expertise.
- Video Screen: If selected to move forward, you’ll have a short video call with a member of our Operations Team.
- Final: Selected candidates will receive an Independent Contractor Agreement.
As an independent contractor, you maintain control over how you complete your work and may work with multiple clients simultaneously. We request that you declare any external work relationships with Cohere’s direct competitors and always maintain the IP confidentiality of the Cohere project. Independent contractors are not eligible for health benefits or other benefits provided to employees. Compensation for services is provided to contractors by self-invoicing for services provided pursuant to the terms of our agreement with the contractor.
It is important to understand that, as an independent contractor, continuous work is not guaranteed. The client-contractor relationship is fundamentally project-based, meaning engagements may be temporary, periodic, or intermittent based on our organizational needs and project availability. As an independent contractor, you should anticipate fluctuations in workflow and, therefore, compensation for services when Cohere does not require as many hours of services in a week.
Prospective candidates, please be advised: this role involves working with human-generated and model-generated tasks that may involve exposure to not safe for work (NSFW) text content as part of data annotation tasks, including explicit, offensive, or other inappropriate material.
If the above qualifications do not perfectly align with your experience, we still encourage you to apply!
We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.
Location: On-site in London (Visa sponsorship and relocation available).
Company: Seamflow is a venture-backed startup building systems to accelerate manual processes in physical industries like aerospace, healthcare, and energy.
What you will do:
— Design and build end-to-end mobile workflows from UI to local state and sync logic.
— Work directly with customers in the field to understand and translate real-world processes into software.
— Integrate AI-powered features, including LLMs and model-backed APIs, into mobile workflows.
— Develop and maintain production-grade cross-platform apps for iOS and Android.
— Own the entire product cycle from customer calls and spec writing to deployment.
Requirements:
— Strong experience with TypeScript and React Native.
— Proficiency in native mobile fundamentals (Swift/Kotlin) for modules like sensors and background tasks.
— Experience shipping and maintaining apps via App Store and Google Play.
— Ability to design for unreliable connectivity, including offline persistence and conflict resolution.
— Experience integrating AI systems (LLMs, agents) into production products.
— Must be based in or be able to relocate to London.
Nice to have:
— Founder or ex-founder experience.
— Background in early-stage or stealth startups (e.g., YC, EF, Antler).
— Experience as a forward-deployed or solutions engineer.
— Proficiency in Python for backend service development.
Culture & Benefits:
— High-ownership, high-trust environment with a world-class team from X, Google, and Amazon.
— Full relocation and visa sponsorship support.
— Provision of meals and professional tools.
— Fast-paced, in-person culture in London.
Location: United States (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
The Opportunity
We are seeking a
Marketing Analytics Director
to lead the evolution of our marketing data stack and raise the analytical rigor of the entire marketing organization. This is a critical role for a builder-practitioner who works at the intersection of Data Science, Marketing Strategy, GTM, and AI Operations. You won't just report on the funnel. You will build the systems that make every analyst on this team sharper, including the AI agents themselves.
As the
Marketing Analytics Director
, you will be the lead architect of our data-driven growth engine, connecting high-level strategy with advanced technical execution. You will move beyond traditional reporting to build a self-sustaining marketing ecosystem, leveraging Google BigQuery, Grafana, and agentic AI to create a unified source of truth and a culture of analytical rigor. Your mandate is to move the needle on demand generation across the entire marketing funnel, while raising the standard for how analytical work gets produced, challenged, and shipped across the org.
You will architect a dual-track target-setting framework that balances high-velocity top-of-funnel growth with deep-funnel quality, ensuring GTM resources are directed toward high-converting user cohorts optimized for Grafana adoption and long-term retention.
You will be expected to engineer the underlying data schemas, design predictive models, and implement the BI frameworks that shape our global GTM strategy. We are looking for a technical expert who can translate complex data into clear executive-level direction and who proactively builds systems that prevent AI-generated noise from drowning out actual signals.
What You'll Be Doing
Strategic GTM Partnership:
Serve as the primary strategic partner to the GTM Leadership team (VP of Demand Gen, VP of Regional and Events, Head of Marketing Ops, CMO, Revenue Operations, Sales leadership and more), translating complex data into a clear roadmap for demand generation and revenue growth.
Dual-Track Target Setting:
Architect and own a sophisticated forecasting framework that balances top-of-funnel volume with high-intent lead quality, optimized for Grafana Cloud conversion and retention.
Predictive Modeling and ROI:
Develop and maintain machine learning models (Attribution, MMM, LTV) to predict campaign impact and steer budget allocation toward the highest-ROI channels.
Data Warehouse Architecture:
Oversee the structure of marketing data within Google BigQuery, ensuring a scalable single source of truth that connects product usage data with marketing touchpoints.
Causal Inference and Inflection Hunting:
Move beyond descriptive analytics to perform causal inference and predictive trend analysis. When the data shows an anomaly, whether a 3-month spike, a regional dip, or a campaign that overperformed, isolate the window and dig in.
Executive Storytelling:
Transform technical data outputs into clear, compelling narratives for the executive team and board. Deliver a succinct read and go deep where pushed.
Utilizing AI and Automation
Agentic Insights:
Deploy LLM-powered agents (Claude Code, MCP-based tooling, or comparable) to monitor BigQuery datasets and automatically flag quality shifts in the funnel before they impact revenue.
Autonomous Workflows:
Implement orchestration patterns (N8N, custom MCP servers, or equivalent) to build self-healing data pipelines and automated responses to market signals, such as automated spend shifts based on conversion anomalies.
Predictive Quality Scoring:
Build and deploy AI-driven scoring models that separate high-value potential users from low-signal volume, helping Sales and Marketing prioritize effectively.
What Makes You a Great Fit
8+ years in Marketing Analytics, GTM Strategy, or Data Science, with at least 2 years in a lead architect capacity (IC track or player-coach; people management not required) within a high-growth SaaS or PLG environment.
Demonstrated history as a force multiplier. You can point to specific tooling, rituals, evaluator systems, or frameworks you built that made other analysts or the broader org measurably better. A portfolio of dashboards you personally produced is not sufficient.
Data Science and Engineering: Mastery of SQL and Python required. Deep experience architecting data environments in Google BigQuery, Snowflake, or similar warehouses.
Hands-on AI fluency as a builder, not a user. You have built and shipped agentic systems with Claude Code, MCP, or comparable tools. You understand where LLMs fail and how to design around those limitations. You have built evaluator agents, prompt-grading systems, or analytical quality tooling in production.
Automation Proficiency: Hands-on experience building complex logic and integrations using N8N, custom API orchestration, or MCP-based tooling.
Visualization and BI: Advanced proficiency in modern data stack visualization tools (Grafana, Looker, Tableau) to build executive-grade dashboards.
Strategic Acumen: Proven ability to create structure in highly ambiguous environments and build target-setting frameworks from scratch.
MarTech Ecosystem: Deep familiarity with connectivity between Salesforce, marketing automation, and product-led data streams.
Executive presence with experience presenting to executive and board audiences, including sound judgment about what data is and isn't ready to share up the chain.
Bonus Points For
Education: Bachelor's or Master's degree in a quantitative field (Data Science, CS, Statistics, Business Analytics). MBA or MS in Data Science is a significant plus.
In the US, the OTE compensation range for this role is $
178,503
- $
214,203.
Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Remote, California, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the role
The Global Alliance Lead is one of the most strategically important roles in our Ecosystem. You will own our relationship with one of the world's leading technology and transformation partners end-to-end — from C-suite engagement through to practitioner enablement and joint pipeline creation. You will be the architect of how the GSI and NewCo go to market together, ensuring our platform becomes the trusted data foundation inside the GSI’s agentic AI delivery practice globally.
This is a senior individual contributor role reporting to the Global Head of GSI Relationships. You will orchestrate across sales, partner solution architecture, marketing, and partner operations — bringing the full weight of the organisation to bear on one of our highest-leverage commercial relationships.
What You'll Do
Relationship strategy and executive engagement
Own the global GSI relationship at partner and C-suite level, building trusted relationships with Client, practice and delivery team leads.
Define and execute a multi-year joint strategy that positions dbt + Fivetran as the default open data infrastructure layer within the GSI’s enterprise AI and agentic workflow delivery
Represent NewCo at GSI’s internal forums, client briefings, and industry events — articulating a compelling narrative around open data infrastructure and its relevance to the GSI’s strategy.
Platform integration and practitioner adoption
Drive adoption of the dbt + Fivetran platform within GSI delivery teams — ensuring practitioners, solution architects and practice leads are certified, confident, and actively recommending the platform in client engagements
Work with GSI's practice leadership to embed NewCo's platform into their business groups, standard delivery architectures, RFP responses and client proposals — with particular focus on GSI's Data & AI practices
Enablement and go-to-market
Design and execute a frictionless enablement programme for GSI practitioners globally — certifications, reference architectures, use case playbooks, and joint delivery assets
Partner with GSI's marketing and alliances teams to develop joint go-to-market campaigns anchored to open data infrastructure, trusted AI delivery, and closing the gap between AI POC and production
Support GSI in building and positioning client-facing agentic AI value accelerators — with NewCo platform as the foundational data layer — the "NewCo inside" model
Pipeline and opportunity development
Source and develop new pipeline opportunities through the GSI relationship — identifying client situations where open data infrastructure creates measurable value.
Drive co-sell motions alongside GSI account teams, ensuring NewCo is present and influential at the point of client opportunity
Maintain a rigorous view of GSI-engaged pipeline — tracking opportunity sourcing, progression, and closed business attributed to the alliance
Telemetry and performance
Define and track the signals that indicate a healthy, high-performing GSI relationship: certifications, sourced opportunities, platform deployments, practitioner engagement, and joint wins
Report regularly to the Global Head of GSI Relationships on alliance health, pipeline contribution, and strategic progress
Identify risks and gaps in the relationship early and mobilise internal resources to address them
What you will bring
15+ years of experience in strategic alliances, enterprise sales, or partner management within the data, cloud, or enterprise software industry
Demonstrated experience managing complex, global relationships with major consulting firms or global system integrators at a senior level
Deep understanding of the modern data stack and the business value of open data infrastructure — dbt, Fivetran, or equivalent experience strongly preferred
Ability to engage credibly at C-suite and partner level within a global consulting organisation — understanding how GSIs make decisions, build practices, and go to market
Strong commercial instincts — able to identify, thoroughly qualify and develop joint pipeline opportunities, not just manage existing relationships
Track record of operating as a cross-functional orchestrator — influencing without direct authority across sales, engineering, marketing, and operations
Exceptional communication and storytelling skills — able to translate technical platform capabilities into compelling business narratives for consulting and enterprise audiences
Familiarity with AI, agentic workflows, and the data governance landscape is a strong advantage + strong knowledge of GSI's operating model and contacts within.
Willingness to travel globally to engage GSI leadership and teams across regions
What Success Looks Like in Year One
A clearly defined joint strategy with GSI signed off at partner Executive level and on track to primary Global Strategic Practice.
Material increase in GSI practitioner certifications and active platform deployments across Data & AI and Insights & Data practices
GSI-sourced pipeline contributing measurably to NewCo's revenue
At least two joint go-to-market campaigns live in the market delivering pipeline — anchored to GSI's agentic AI and trusted data agenda
First client-facing agentic value accelerators built on NewCo platform delivered with GSI — positioning NewCo as the trusted data infrastructure inside GSI's AI delivery
A telemetry framework in place tracking alliance health and pipeline influence
Why This Role
This is a rare opportunity to own a marquee relationship at a defining moment for both companies. GSI’s are publicly committing to capturing the full value of the agentic AI revolution for customers — and the merged dbt + Fivetran platform is the trusted data infrastructure that makes AI production-ready. The person who builds this alliance well will sit at the intersection of the two most important forces in enterprise technology right now: the scale of a global systems integrator and the open infrastructure that makes AI trustworthy enough to deploy at scale.
This position qualifies for Fivetran’s incentive plan, and it’s common for employees in this role to achieve the total on-target earnings.
#LI-Remote
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Oakland Pay Range
$174,868
—
$212,000 USD
OTE (On Target Earning)
$249,816
—
$302,000 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Remote, Colorado, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the role
We're hiring a Product Manager to lead the dbt v2 roadmap — the future of dbt Labs' intellectual property and a critical driver of product-led growth. You will own net-new functionality in Fusion that identifies and monetizes local deployments of dbt, shipping net new features, many of which also land in dbt Core, as well as proprietary ELv2 plugins that integrate seamlessly with the dbt platform.
This role is co-located with our dbt v2 engineering team in the US to accelerate execution, strengthen prioritization, and ensure tight alignment across product, engineering, and platform teams. You'll bridge open source product strategy with technical delivery and business impact, translating strategic investments into shipped features that drive the Fusion PLG motion.
In this role, you will
Own and deliver the dbt v2 roadmap, shipping net new functionality to dbt v2 like SQL comprehension, compute, governance, and SAO
Define requirements for Fusion features that integrate seamlessly with the dbt platform and unlock enterprise value
Keep the Fusion engineering team aligned, unblocked, and executing on a predictable cadence
Contribute hands-on to the dbt Core / Fusion codebases, including code reviews, documentation, and small feature implementations
Collaborate with OSS strategy leads, platform PM peers, and cross-functional stakeholders to deliver a unified roadmap
What success looks like
Shipping net-new features on a predictable quarterly cadence
Measurable contribution to Fusion PLG growth metrics, including identification and monetization of local dbt deployments
Hands-on contributions to dbt Core and Fusion code bases, including merged PRs and meaningful improvements to the open source codebase
Strong execution and alignment across the Fusion engineering team
You're a good fit if you have
5+ years of product management experience in technical domains such as developer tooling, data platforms, or open source software
Strong grasp of system architectures, particularly for local deployments and how they scale to enterprise use cases
Understanding of how open source investments drive PLG growth and product strategy
Ability to bridge technical delivery with business impact, translating features into revenue and growth metrics
Experience working with engineering teams to define, prioritize, and ship complex technical features
Strong communication skills with empathy for open source contributors and enterprise users alike
Nice to have
Hands-on experience with dbt or similar transformation frameworks
Background in plugin architectures, extensibility systems, or platform ecosystems
Understanding of PLG motions and freemium-to-paid conversion strategies
Experience with SQL engines, query optimization, or compute systems
Prior experience as an engineer whose worked with modern development frameworks (examples: React, Typescript, Python, etc.)
#LI-Remote
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Pay Range
$226,657
—
$283,322 USD
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Oakland Pay Range
$243,936
—
$304,920 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Remote: United States; San Francisco HQ; Remote: Canada
Workplace: Remote
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
Render's mission is to eliminate the undifferentiated work that goes into building software products by offering an easy-to-use, powerful cloud platform for developer teams of all sizes.
We are scaling rapidly. Our customers have created millions of services on our platform, and the numbers continue to accelerate. Our customers trust us to deliver a secure, reliable and performant cloud — this is our top priority as a company.
By joining us at an early stage, you will design and build the cloud platform you've always wanted for yourself, and make decisions that will shape our product and company, directly impacting developers around the globe.
Render builds and orchestrates a growing number of kubernetes clusters on different hyperscalers and recently, our own hardware. We leverage open source and industry-standard technologies, modifying and extending the core components to meet the unique reliability, performance, and scaling demands of our platform.
We are looking for engineers with deep specialization in cloud and compute infrastructure. We are particularly interested in experience with Kubernetes and container orchestration, micro VMs, controllers, operators, and the automation and self-healing of large scale distributed systems.
Areas of focus for the team this year will unlocking bottlenecks to scale our clusters while also automating the multi-step creation, configuration, testing, and tuning of Render clusters. We will expand Render to new regions, our own bare metal, and start orchestrating micro VMs outside of Kubernetes entirely.
WHAT YOU'LL DO
- Own Render's core compute infrastructure across multiple cloud providers, regions, and data centers. You'll shape how we evolve our compute platform as we rapidly scale.
- Design and build capabilities that give users greater performance and flexibility in how their services are built, deployed, perform, and stay available even when underlying resources go down.
- Investigate challenging cloud and compute issues across the stack, from the kernel and data plane to our kubernetes cluster, control plane, and other orchestration mechanisms.
- Improve the performance and reliability of our infrastructure through systematic profiling, experimentation, and tuning.
- Partner with engineers across the company to build a platform that is stable, predictable, and secure.
- Participate in our on-call rotation. Help continuously improve how we detect, respond to, and learn from incidents.
WHAT WE'RE LOOKING FOR
- At least 7 years of experience building and operating large-scale platform or compute infrastructure.
- Deep expertise in operating, scaling, and enhancing Kubernetes clusters or similar resource/container orchestration system.
- Experience developing in Go, Rust, or similar languages to develop custom infrastructure components, scheduling, controllers, that apply business logic to resource management.
- Comfort going broad and deep in a complex systems, making tradeoffs to improve performance and efficiency without sacrificing reliability.
- Strong experience designing, debugging, and operating distributed systems.
- Experience planning and executing rapid, high-risk upgrades, changes with minimal downtime to user services.
NICE-TO-HAVES
- Background in virtualization technologies like Firecracker, gVisor, Kata, or similar.
- Experience optimizing the performance of node, pod, and container spin-up times.
- Familiarity with eBPF, Linux kernel internals, resource management.
- Comfort securing and isolating workloads in multi-tenant execution environments.
RELEVANT LINKS FROM THE RENDER INFRASTRUCTURE TEAM
- The Namespaces Scaling Trap https://www.youtube.com/watch?v=NCKhoYsNsmE (video podcast interview) and related article How We Found 7 TiB of Memory Just Sitting Around https://render.com/blog/how-we-found-7-tib-of-memory-just-sitting-around
- SEV0 SF 2025 | Boundary Cases: Technical and social challenges in cross-system debugging https://www.youtube.com/watch?v=d4hAyzmBNXk
- Distributing Global State to Serve over 1 Billion Daily Requests https://render.com/blog/distributing-global-state-to-serve-over-1-billion-daily-requests
- Breaking down OpenAI's outage: How to avoid a hidden DNS dependency in Kubernetes https://render.com/blog/a-hidden-dns-dependency-in-kubernetes
- Kubernetes Informers are so easy... to misuse! https://render.com/blog/kubernetes-informers
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
RELOCATION TO BERLIN Location: This role requires being on-site at the Berlin office for at least 80% of weekly working hours. Up to 20% mobile work is allowed from anywhere within Germany, with an option to work from abroad for this portion. Visa sponsorship is provided for joining from outside of Germany, and candidates planning to relocate to Berlin are welcome.
Company: Bonial is a digital advertising partner for offline businesses, part of Axel Springer SE, and the leading "Drive to Store" partner in Germany and France, connecting millions of users with their favorite shops and brands.
What you will do:
— Lead and mentor a diverse hybrid team of software engineers.
— Define and drive the technical vision and strategy for the Reach Ads product, ensuring alignment with business goals.
— Oversee the entire software development lifecycle for Reach Ads, from planning to deployment.
— Collaborate with Product and Development teams to build scalable solutions using Java, Python, and AWS.
— Ensure system availability, stability, quality of service, and security standards are met.
— Foster a culture of continuous learning, professional development, and transparent communication within the team.
Requirements:
— Extensive experience in software engineering and a strong background in team leadership.
— Proficiency in Java and a good understanding of software architecture.
— Experience or willingness to work with a distributed team.
— Excellent communication and interpersonal skills.
— Agile mindset and experience with modern development practices.
— Strong problem-solving skills and a passion for staying ahead of industry trends and technologies.
— Must be able to work on-site at the Berlin office for at least 80% of weekly working hours.
— Ability to obtain legal work authorization in Germany.
Nice to have:
— Hands-on experience with third-party advertising platform integrations (Google Ads, Meta, DV360) and Adtech.
Culture & Benefits:
— High-growth and dynamic company leveraging AI for productivity and efficiency.
— Strong support for professional development with a feedback culture.
— Commitment to diversity and an equal opportunity workplace.
— Wellbeing benefits including free access to nilo.health mental health app and partial Urban Sports Club subscription.
— Flexible work policy allowing up to 20% mobile work within Germany and option to work from abroad for this portion, plus 28+ days of holiday.
— Modern office in Berlin with a gym, Zen Rooms, roof terrace, and free lunch/snacks.
— Social culture with regular team events.
Location: United States
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
Docker seeks a Principal Software Engineer to define the technical vision and architecture for our internal Developer Tools team. This is a rare opportunity to establish how software is designed, built, shipped, and operated at Docker. With the addition of AI we are modernizing our SDLC and building the mechanisms that make the right way the easy way for every engineer.
You'll own the technical strategy across four interconnected pillars:
Platform Engineering & Self-Service: Design and build the internal developer platform that empowers teams across Docker to unblock themselves, rapidly scaffolding, prototyping, deploying, and operating their own services and tools.
CI/CD & Build Systems: Define Docker's technical approach to continuous integration, delivery, and build infrastructure. Establish architectural standards for pipeline tooling, GitOps deployment patterns, build substrate, and release engineering.
As Principal Software Engineer, you'll partner with engineering leadership across Docker, principal engineers, Security, Infrastructure, and the service teams to author the SDLC tenets that underpin all of this work, and build the mechanisms those tenets run through.
Reporting to the Sr Manager of Developer Tools, you'll collaborate closely with engineering leadership across Docker, product engineering teams, platform teams, and ultimately customers as internal tools evolve into product offerings.
WHAT WOULD MAKE SOMEONE SUCCESSFUL IN THIS ROLE
You're a technical leader who excels at the intersection of developer experience, platform engineering, and systems design. You think in platforms and golden paths, building once and enabling dozens of teams to move faster. You have strong opinions on what makes developer tools great: invisible by default, indispensable once adopted, and measurable in the workflows engineers already use.
You have deep experience across the breadth of the developer tooling stack, CI/CD, build systems, observability infrastructure, and developer platforms, and working knowledge of LLM integration and AI agent development. You understand the nuances of internal platforms: designing for adoption, not mandate; plugging into existing workflows before standing up new ones; and earning trust through data before expanding scope.
You have exceptional judgment on when to build custom solutions versus integrate existing tools, and you're comfortable navigating a rapidly evolving landscape across both AI and developer infrastructure. You balance technical excellence with pragmatism, shipping iteratively while maintaining high quality bars. Most importantly, you lead through influence and mentorship, elevating the entire engineering organization's technical capabilities.
RESPONSIBILITIES
Technical Leadership & Architecture
- Define the long-term technical vision and architecture for Docker's developer tooling platform spanning platform engineering, CI/CD, and AI-powered tools
- Lead authoring of SDLC tenets in partnership with other principal engineers, Security, and Infrastructure and build the mechanisms those tenets bind to (design gates, code review gates, pipeline standards, visibility)
- Establish architectural patterns, technical standards, and best practices across the developer tooling stack
- Design highly available, scalable infrastructure for hosting developer tools, agents, and platform services
- Drive technical decisions on tooling choices, provider strategies, build/deploy substrate, and agent orchestration frameworks
- Partner with Senior Manager and product leadership to align technical architecture with business objectives and productization opportunities
Systems Design & Implementation
- Architect and build Docker's internal developer platform, the self-service substrate enabling teams to scaffold, deploy, and operate services with minimal friction
- Design and implement CI/CD and build infrastructure that supports Docker's SDLC tenets and GitOps deployment patterns
- Establish reliability, security, and performance standards across developer tooling including SLOs, monitoring, incident response, and cost management
- Design integration points between developer tools and existing infrastructure (CI/CD pipelines, observability platforms, deployment systems)
Strategic Impact & Innovation
- Evaluate emerging technologies across developer tooling, platform engineering, AI/LLM, and agent frameworks to inform Docker's technical strategy
- Define and enforce the golden path, the concrete, left-to-right walkthrough of how Docker builds software, and identify where tooling closes gaps vs. where human process does
- Drive technical standards for measuring developer tool effectiveness: adoption metrics, productivity gains, pipeline performance, and developer satisfaction
- Lead cross-functional technical discussions influencing company-wide developer tooling architecture
- Define technical approach for productizing successful internal developer tools into customer-facing offerings
Leadership & Mentorship
- Mentor senior and staff engineers on platform engineering, CI/CD patterns, design, and AI/LLM integration
- Lead design reviews and technical decision-making across all developer tooling work
- Foster culture of technical excellence, experimentation, and rapid prototyping within the Developer Tools team
- Serve as primary technical contact and thought leader for developer tooling across Docker's engineering organization
- Collaborate with platform teams (Infrastructure, Security, Agentic Platform, Supply Chain Security) to establish shared technical standards and integration patterns
- This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed.
QUALIFICATIONS
REQUIRED:
- 10+ years software engineering experience with 3+ years in Staff or Principal Engineer roles
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Proven track record architecting and operating developer-facing platforms, internal tools, or developer productivity systems at scale
- Deep expertise in CI/CD systems, build infrastructure, and GitOps deployment patterns
- Production experience with cloud-native infrastructure including Kubernetes, observability systems (Prometheus, Grafana, Loki), and deployment tooling
- Experience designing self-service platforms, developer portals, or golden path tooling that enable other teams to move faster
- Working knowledge of AI/ML technologies and hands-on experience with LLM APIs or AI agent development
- Proficiency in Go (preferred), Rust, Java, or Python with strong software engineering fundamentals
- Exceptional product and platform mindset considering developer experience, business outcomes, and technical/security trade-offs
- Strong communication skills with ability to influence technical and non-technical stakeholders
- Track record of technical mentorship and elevating engineering teams' capabilities
- Ownership mentality with bias for action and iterative delivery in ambiguous, fast-moving environments
- Comfortable with autonomous work in distributed, remote-first teams across multiple time zones
PREFERRED:
- Experience with MCP (Model Context Protocol) or similar AI agent integration standards
- Background in DevOps, SRE, or platform engineering domains
- Contributions to open source developer tooling, platform engineering, or observability projects
- Experience productizing internal platforms into commercial offerings
- Deep knowledge of security, compliance, and operational best practices for production systems
- Experience with infrastructure-as-code frameworks (Terraform, Pulumi) and multi-cloud platforms (AWS, GCP, Azure)
- Track record driving org-wide adoption of developer tooling and engineering standards
WHAT TO EXPECT
FIRST 30 DAYS
- Understand Docker's current developer tooling landscape: AI tools, CI/CD state, platform engineering gaps, and the foundational SDLC gap
- Meet with engineering leadership, principal engineers, and key technical stakeholders across product engineering, Security, Infrastructure, and Agentic Platform
- Conduct deep technical assessment of current developer tooling infrastructure to identify opportunities and constraints across all four pillars
- Review existing tools in production and understand what's working, what isn't, and the technical lessons learned
- Partner with Senior Manager to define initial technical priorities and 90-day technical roadmap across pillars
FIRST 90 DAYS
- Define and document technical architecture for the Developer Tools platform across: system design, technology choices, integration patterns, and operational model
- Ship first production deliverable, either an extension of existing tooling or a net-new tool with architectural patterns and standards that scale to future work
- Establish technical foundations for the self-service platform: deployment pipeline, security controls, and cost management
- Lead or contribute to the SDLC tenets working session with principal engineers, Security, and Infrastructure
- Define success metrics and instrumentation strategy for measuring developer tool adoption, effectiveness, and productivity impact
- Create architectural decision records and best practices guides for teams building on the platform
FIRST YEAR OUTLOOK
- Establish mature technical architecture for the Developer Tools platform with multiple production tools demonstrating value
- Build production-ready self-service platform enabling multiple teams to build, deploy, and operate their own tools with minimal friction
- Define and implement technical standards for measuring developer productivity improvement: design quality, commit frequency, PR velocity, deployment reliability, and incident response times
- Lead technical strategy for productizing successful internal tools into customer-facing offerings
- Position Developer Tools as Docker's technical center of excellence for developer productivity, with regular technical talks, demos, and knowledge sharing
- Define multi-year technical roadmap including advanced platform capabilities, expanded AI tooling, and emerging technology adoption
Docker considers visa sponsorship on a case-by-case basis based on business needs.
Compensation & Equity
United States: $198K – $319K + equity
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: Seattle, WA; San Francisco Bay Area
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
As a Staff Software Engineer on the Cloud Sandboxes team, you’ll design and build the core systems that power Docker’s cloud agentic platform. Your work will focus on creating scalable, reliable, and secure infrastructure that enables developers to deploy and manage agentic workloads efficiently and with confidence.
If you thrive on solving distributed systems challenges, enjoy working at the intersection of developer experience and cloud infrastructure, and want to help shape the future of Docker’s platform, we’d love to hear from you.
RESPONSIBILITIES
- Design, implement, and operate core services that power Docker’s Cloud Sandboxes platform
- Build scalable systems for microVM orchestration, workload scheduling, and lifecycle management
- Develop high-performance APIs and control plane components for managing multi-tenant workloads
- Ensure system reliability, observability, and performance across Docker’s Cloud Sandbox infrastructure
- Collaborate with product, platform, and security teams to deliver customer-focused capabilities
- Participate in architectural discussions, code reviews, and design documents
- Contribute to automation and CI/CD improvements across the deployment pipeline
- Debug and resolve production issues across distributed systems in cloud environments
- Take part in on-call rotation for your team; respond to incidents, debug production issues, and drive continuous improvement of system reliability
QUALIFICATIONS
REQUIRED:
- 10+ years of backend software engineering experience building large-scale cloud or distributed systems
- Strong proficiency in Go and/or Java
- Deep understanding of container orchestration, Kubernetes, and microservices architecture
- Experience designing and operating highly available, secure, and observable production systems
- Strong understanding of cloud infrastructure (AWS, Azure, or GCP) and related scalability patterns
- Familiarity with CI/CD pipelines, monitoring, and infrastructure-as-code tooling
- Excellent problem-solving and debugging skills in distributed environments
- Strong communication skills and ability to collaborate across remote, cross-functional teams
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
PREFERRED:
- Experience contributing to cloud-scale compute platforms or container infrastructure products
- Knowledge of service mesh, networking, or policy enforcement systems
- Experience with observability stacks (Prometheus, OpenTelemetry, Grafana, etc.)
- Familiarity with security best practices for multi-tenant cloud systems
- Prior experience in developer infrastructure, cloud platforms, or hyperscale environments
Docker considers sponsorship on a case-by-case basis based on business needs.
Compensation & Equity
United States: $170,350 – $275,550 + equity
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
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PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: New York
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Role Overview:
As a Senior Research Engineer in our Safety team, you will play a key role in helping develop safer, more secure, and more reliable models. Your primary focus will be on building tools to enable easy data synthesis, analysis, and management, for complex combinations of real and synthetic data that is used in both model training and evaluation. You will own the cohesive vision of these tooling repositories.
You will work closely with a team of research scientists and engineers to create tooling that enables tighter experimentation cycles, better data coverage of the real world, and more scientific rigour. You will have a lot of autonomy and need to be opinionated about what areas of the codebase need elegance and standards, and where that would be overengineering. You will be given high level experimental problems that need to be solved with efficient pipelines, and design and implement the solutions. Your data analysis will collaboratively feed into modelling decisions and experimentation.
This role combines expertise in software engineering, statistics, and data science. If any of these topics sound interesting to you, we encourage you to apply.
You will be working on the Modelling Safety and Trust team, so interest in these areas is a plus, but is not at all required.
Please Note: We have offices in London, Edinburgh, Paris, Toronto, Montreal and New York, but we also embrace being remote-friendly! This role has timezone restrictions (UK, Europe, or ET) but no location restrictions.
Key Responsibilities:
- Design and implement robust data pipeline tooling that enables frequent, low-friction data generation and annotation
- Create cohesive data infrastructure that supports continuous parallel operation with model experimentation
- Establish standardized processes for data validation, analysis, and improvement of data both training and evaluation
- Collaborate with the ML modeling team to align data capabilities with experimental needs
- Maintain opinionated, well-documented solutions that become team standards
- Develop systematic analysis frameworks to identify incoming data sources and benchmark coverage gaps
Qualifications:
- Extremely strong software engineering skills.
- Strong statistical skills and experience evaluating scientific experiments related to data collection and model performance.
- Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch) and Big Data Analytics (e.g. BigQuery, SQL)
- Demonstrated ability to own complex technical projects from conception to deployment
- Opinionated approach to technical architecture with ability to make principled decisions
- Understanding of ML data requirements and the intersection of data engineering with modeling workflows
Working Location:
This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: Hybrid - San Francisco, New York City
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:
We are looking for a Product Security Engineer to build the systems that triage and validate bug bounty and other externally reported security findings, not to work the queue, and this role suits a software engineer moving into security or a security engineer with a strong engineering background. You will build large language model (LLM) and agent-based tooling that validates findings, traces them to their root cause, and opens fixes for well-understood vulnerability classes. This is a hybrid role based in San Francisco or New York City, with three days a week in the office.
What you’ll do:
Build the systems that take in externally reported vulnerabilities and assess validity, severity, and reproducibility at a volume manual triage cannot match
Build LLM and agent-based analysis that validates business logic, authentication, and design-level findings, not just known signatures
Build systems that trace validated findings to their root cause and propose, and increasingly open, fixes for well-understood vulnerability classes, with human review gates
Own the bug bounty program, including scope, policy, and researcher engagement, and feed every resolved report back into automated triage
Extend the tooling into security testing capabilities that customers can use on what they build and deploy
What you need:
5+ years of software engineering or security engineering experience, building and shipping production systems or internal tools
Wrote production code in JavaScript/TypeScript on Node.js, with hands-on experience in web frameworks such as Next.js or React
Built with LLM or agent-based tooling
Reproduced and assessed externally reported vulnerabilities, including judging severity
Bonus if you:
Built security automation used across an engineering org, not just for your own team
Built systems that auto-generate or propose code fixes, not just findings
Tested or secured multi-tenant platforms where customer-built applications run on shared infrastructure
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 base pay range for this role is $208,000.00 - $312,000.00. 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: Remote - United States
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:
We're looking for a Security Engineer to join our Cloud Security Engineering team. In this role, you'll help strengthen the security of our platform by building and improving the controls that protect our infrastructure. You'll play a key role in making security a core part of how we build, deploy, and scale our systems, while helping the company grow securely and confidently.
You'll report to the Security Operations Manager, and this is a hybrid or fully remote within the United States. If you're based within commuting distance of our SF or NY offices, the role includes in-office anchor days on Monday, Tuesday, and Friday.
What you will do:
Design and implement scalable security controls across our cloud-native platform.
Harden infrastructure components using infrastructure-as-code, policy enforcement, and service isolation.
Build secure by default infrastructure and code CI/CD pipelines.
Collaborate with platform and infrastructure teams to integrate security best practices into architecture and workflows.
Stay ahead of cloud security trends and adopt cutting-edge technologies to enhance platform resilience.
Conduct threat modeling, risk analysis, and mitigation planning for critical systems.
Drive improvements in monitoring, detection, and incident response at the platform level.
Build, deploy and maintain relevant tooling.
About you:
8+ years of experience in infrastructure or platform security roles.
Deep understanding of secure cloud infrastructure (AWS/GCP), identity and access management, and system hardening.
Proficient with tools like Terraform, CDK, Kubernetes, and CI/CD security.
Skilled at balancing engineering realities with principled security practices.
Proven track record of shipping secure, resilient systems at scale.
Bonus if you:
Have built or scaled security automation pipelines.
Contributed to open-source security projects or tools.
Hold certifications such as GCP Security Engineer, AWS certifications, CISSP, or OSCP.
Hold a bachelors or masters degree in Cybersecurity or similar disciplines.
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 base pay range for this role is $208,000.00 - $312,000.00. This salary range is an estimate. Actual salary will be based on job related skills, experience and location. Pay ranges outside San Francisco may be adjusted based on employee location. The total compensation package also includes benefits and equity-based compensation. Your recruiter can share more about the specific pay range for your location 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: Remote; Seattle, WA; San Francisco, CA
Workplace: Remote
We are building AI to simulate the world through merging art and science.
We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.
World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.
Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.
ABOUT THE ROLE
*Open to hiring remote on the West Coast— preferable to have someone near our office in SF or Seattle.
We're looking for someone to join our IT team and take ownership of day-to-day technical support for a globally distributed company. You'd report to the Head of IT/Security and be the first point of contact for employees with requests, device issues, and account problems.
You'll own the fundamentals from day one: handling tickets, provisioning laptops, running on-boarding, and keeping our SaaS stack in order. But this is a small team at a fast-growing AI company, so the scope grows quickly. You'll get pulled into real projects sooner than you'd expect, across security, infrastructure, and automation. How far you take it depends on what you're good at and what interests you.
WHAT YOU'LL DO
- Handle help-desk tickets: Triage and resolve employee requests — password resets, access provisioning, Slack/Google Workspace/Zoom troubleshooting, and general "my thing is broken" support
- Manage the device lifecycle: Procure, provision, configure, and ship laptops for new hires. Handle off-boarding wipes and returns. Keep the asset inventory accurate.
- Run on-boarding and off-boarding: Create accounts, apply security profiles, draft welcome communications, and make sure new employees have everything before day one
- Administer Google Workspace: Manage users, groups, aliases, and license assignments. You'll use both the admin console and CLI tools regularly.
- Support endpoint compliance: Work with our device trust tooling to keep employee machines meeting security policies, and follow up when they don't
- Deploy and enforce security policies: Help roll out and maintain endpoint security configurations, access controls, and compliance requirements across the fleet
- Manage corporate software: Handle seat assignments, renewals, license optimization, and access reviews across our SaaS stack
- Support office networking and AV: Help maintain networking equipment, conference room setups, and office technology across our physical locations as needed
- Train and enable employees: Deliver lightweight technical guidance and training on IT systems, both for new hires and for ongoing support (written guides, short walkthroughs, the occasional screen share)
- Write things down: Maintain run-books, knowledge base articles, and process docs. If you fix something, document how.
WHERE THIS ROLE CAN GROW
We don't expect you to stay in a pure helpdesk lane. Our SOC2 program has ongoing evidence collection and device trust work to pick up, and there's security policy work that needs someone to own the rollout and enforcement side.
On the infrastructure side, we manage cloud resources through infrastructure-as-code, and there's room to contribute once you're comfortable. We also automate a lot (scripting, CI/CD pipelines) and there's no shortage of manual process waiting to be turned into a workflow.
Over time, you'd lead IT projects around endpoint management, security improvements, and internal tooling rather than just executing on them.
WHAT YOU'LL NEED
- Some form of IT support experience. A help-desk role, an internal support function, or just being the person everyone came to when something broke. The title matters less than the reps.
- Comfort with macOS. Our user endpoint fleet is mostly Mac. You should be able to troubleshoot system issues, manage profiles, and work in the terminal without hand-holding.
- Familiarity with Google Workspace administration, or the confidence to pick it up fast. CLI admin tooling experience is a plus.
- A working understanding of networking fundamentals: DNS, DHCP, LAN/WAN basics, and how traffic moves. You don't need to be a network engineer, but you shouldn't be lost when a connectivity issue comes in.
- Basic understanding of cybersecurity principles. You should know what endpoint security, encryption, and access controls are, and why they matter, even if you haven't built policies from scratch.
- Strong written communication. This is a remote role and coordination happens in Slack and Notion. If you can't write clearly, the timezone gap makes everything harder.
- Self-direction. There's separation between you and the rest of the IT team for part of the day. You need to be someone who sees what needs doing and does it.
- Curiosity about how systems work. Maybe you've run a homelab, automated something tedious with a script, or set up a Pi. We care more about the impulse than the resume line.
NICE TO HAVE
- Experience with MDM platforms (any of the major ones)
- Any exposure to cloud infrastructure (AWS, GCP, etc) and infrastructure-as-code concepts
- Scripting in Python, Bash, or JavaScript
- Familiarity with zero-trust networking concepts and tools
- Background in compliance frameworks (SOC2, ISO 27001)
- Exposure to international IT regulations or data privacy requirements (GDPR, etc.)
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
WORKING AT RUNWAY
Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
More about Runway
- Universal World Simulator https://runwayml.com/world-simulator.html
- GWM-1 https://runwayml.com/research/introducing-runway-gwm-1
- Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5
- General World Models https://runwayml.com/research/introducing-general-world-models
- Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section
- Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section
- Runway Studios https://runwayml.com/studios
We're excited to be recognized as a best place to work:
Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
Location: Remote - United States
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
We are looking for a Security Software Engineer, IAM, to build identity and access management (IAM) infrastructure as software, not administer identity products, and this role suits a software engineer who has gone deep on identity or an IAM engineer with a strong engineering background. You will own identity and IAM end to end, replacing the approval queue with access that is self-serve, time-bound, and provable, built so identity is defined as code, reviewed in pull requests, deployed through CI, and observable in production, and you will help decide how agents act on behalf of users and systems. This is a hybrid role based in San Francisco or New York City, with three days a week in the office.
What you’ll do:
Migrate Okta and related IAM configuration to Terraform so every identity change is reviewed, tested, and versioned, and help engineering teams adopt infrastructure as code
Build a self-serve access platform, including just-in-time (JIT) access, that lets team and system owners define, request, and time-bound their own access
Own provisioning, deprovisioning, and access review workflows that generate System and Organization Controls 2 (SOC 2) audit evidence automatically
Unify corporate IAM (employee identity, SaaS access, devices) and production IAM (service accounts, infrastructure permissions, on-call access) into one identity plane, and enforce least-privilege access across cloud, SaaS, and production infrastructure
Define and build how agents request and hold access, working with the Accounts team on product-facing identity
What you need:
7+ years building and owning identity, access management, or platform security systems, including IAM design across corporate (Okta or equivalent) and production (AWS or GCP) environments
Built and operated production services or self-service platforms in TypeScript/Node.js, Go, or Python, including REST APIs
Implemented OAuth2, OpenID Connect (OIDC), Security Assertion Markup Language (SAML), and System for Cross-domain Identity Management (SCIM) at the protocol level, including failure modes such as token replay and sync drift
Managed IAM infrastructure as code in Terraform
Bonus if you:
Led a Terraform migration for IAM or identity infrastructure at scale
Designed or built a JIT access system or access governance platform
Designed delegation or scoped-credential models for agents or service identities
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 base pay range for this role is $208,000 - $312,000. 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: Remote: United States; Remote: Canada
Workplace: Remote
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
As a Software Engineer on Developer Velocity, you'll design and build the internal platform, tooling, and automation that lets every Render engineer move quickly and safely. You'll drive changes in our local development environments, CI/CD pipelines, test infrastructure, and the metrics we use to understand and improve how we ship. You'll work across the entire engineering org, identify where friction lives, and remove it, measurably.
WHAT YOU'LL DO
- Improve speed and reliability of early change feedback
- Invest in build and dependency tooling, caching, incremental builds, and monorepo ergonomics, to keep iteration tight as the codebase grows.
- Accelerate our CI/CD pipelines - cutting build, test, and deploy times while keeping the path to production safe and reversible.
- Make our test suites fast and trustworthy: parallelization, smart test selection, flaky-test detection, and better local/preview environments built on the same primitives our customers use.
- Design and build tools to support concurrent agent execution
- Make test feedback fast enough to live inside an agent's loop, where slow or flaky runs compound across every attempt.
- Get agents the right context (codebase conventions, service ownership, recent changes, environment state) so their first attempt lands closer to correct.
- Simplify and establish repeatable patterns
- Reduce toil through automation, paving over repetitive workflows and manual steps wherever they slow people down.
- Instrument the engineering org with meaningful signals (deployment frequency, lead time for changes, change failure rate, time to restore) and turn them into action.
- Build and participate in an on-call rotation as the team takes ownership of critical systems.
WHAT WE'RE LOOKING FOR
- Experience building and operating developer-facing tooling, CI/CD systems, or internal platforms that other engineers depend on every day.
- Experience driving cultural and process changes to make engineering teams more effective.
- Strong software engineering fundamentals and a track record of shipping, maintaining, and debugging production systems.
- Proficiency in Go (or a strong willingness to ramp quickly, it's our primary language).
- Hands-on experience with Kubernetes or similar container orchestration.
- Familiarity with infrastructure-as-code tools (yup, Terraform).
- A bias toward measurement: you instrument what you build and let data tell you whether you actually made things faster.
- You empathize deeply with engineers, fixing developer pain points in an elegant and sustainable manner is something that resonates deeply with you.
NICE-TO-HAVES
- Experience improving build systems, test infrastructure, or developer experience at meaningful scale - Bazel, Concourse, and GitHub workflows are old friends.
- Familiarity with observability tools like Datadog, Grafana, and OpenTelemetry.
- Comfort working close to the metal - Linux, containers, kubernetes - you get your hands very dirty.
- Security-minded instincts, especially around supply chain and the path from commit to deploy.
- Understanding that the question isn't "AI pilled vs AI skeptic", but rather where to use it as an accelerant, and where human context must come first.
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
New York; San Francisco
150 000 – 350 000 $
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