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Location: Washington DC Workplace: Remote ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE We are looking for a Regional Director of Sales to lead revenue growth across a defined region within the Americas. This is a critical frontline leadership role for someone who has managed high-performing enterprise Account Executives, understands complex technical sales cycles, and is excited to help build the go-to-market motion for one of the most important categories in software. As Regional Director, Sales, you will own regional revenue execution, pipeline development, forecast accuracy, and team performance. You will lead a team of quota-carrying Account Executives selling to technical, product, and business stakeholders at high-growth startups and large enterprises. This role is ideal for a hands-on sales leader who combines strong operating discipline with curiosity about AI, developer platforms, and emerging infrastructure markets. You should be comfortable staying close to deals, coaching sellers through complex cycles, and helping customers understand both immediate use cases and long-term strategic value.   WHAT YOU’LL DO - Own regional revenue targets, pipeline generation, forecast accuracy, and overall sales execution. - Lead, coach, and develop a team of enterprise Account Executives. - Build a culture of accountability, customer obsession, strong qualification, and consistent execution. - Partner closely with Sales Engineering, Customer Success, Product, Marketing, and Sales leadership to improve win rates and customer outcomes. - Drive disciplined execution across territory planning, account strategy, opportunity qualification, mutual action plans, forecasting, and expansion motions. - Stay deeply engaged in strategic opportunities, including executive alignment, deal strategy, negotiation, and closing. - Coach the team on selling to technical and executive audiences, including engineering leaders, AI teams, platform teams, product leaders, and business stakeholders. - Inspect pipeline rigorously, identify risks early, and ensure clear next steps across priority opportunities. - Develop a clear view of market demand, buyer personas, competitive dynamics, and customer pain points across your region. - Help refine LangChain’s enterprise sales motion as we scale from early GTM into a more repeatable, predictable sales organization. - Recruit, onboard, and retain high-performing sales talent as the region grows. WHAT WE’RE LOOKING FOR - 7+ years of enterprise software sales experience, including 2+ years leading quota-carrying sales teams. - Proven track record managing teams that sell complex technical products to enterprise customers. - Experience hiring, coaching, and developing high-performing Account Executives. - Strong command of enterprise sales fundamentals: qualification, discovery, value selling, mutual action plans, forecasting, negotiation, and executive engagement. - Experience selling to technical buyers such as engineering, infrastructure, data, AI/ML, developer platform, or product teams. - Ability to operate in a fast-moving, early-stage or high-growth environment where playbooks are still being built. - Strong cross-functional instincts and a collaborative approach to working with Product, Engineering, Marketing, Sales Engineering, and Customer Success. - Excellent communication skills, with the ability to simplify complex technical concepts for different audiences. - High ownership, low ego, and a willingness to be hands-on with customers, deals, and team development. NICE TO HAVE - Experience selling developer tools, infrastructure software, observability, data platforms, ML/AI tooling, or open-source commercial products. - Familiarity with LLMs, AI agents, RAG, observability, evaluations, or modern AI application development. - Experience helping scale a regional sales function at a company moving from founder-led or early GTM to a more repeatable enterprise sales motion. - Experience with MEDDIC, MEDDPICC, Command of the Message, or similar enterprise sales methodologies. - Prior success selling into both digital-native and large enterprise accounts. - Experience working in a highly technical, product-led, or open-source-influenced sales environment. WHY JOIN US AI is changing how software is built, deployed, and operated. LangChain is at the center of that shift. This is an opportunity to help build the sales organization for a category-defining company, work with highly technical and ambitious customers, and shape how enterprises adopt production-grade AI systems. You’ll join a team that values ownership, clarity, curiosity, and pace — and you’ll have the opportunity to make a meaningful impact on the company’s growth trajectory.   Compensation: $350,000 - $400,000 OTE + Equity Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: New York, NY Workplace: Remote ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE We are looking for a Regional Director of Sales to lead revenue growth across a defined region within the Americas. This is a critical frontline leadership role for someone who has managed high-performing enterprise Account Executives, understands complex technical sales cycles, and is excited to help build the go-to-market motion for one of the most important categories in software. As Regional Director, Sales, you will own regional revenue execution, pipeline development, forecast accuracy, and team performance. You will lead a team of quota-carrying Account Executives selling to technical, product, and business stakeholders at high-growth startups and large enterprises. This role is ideal for a hands-on sales leader who combines strong operating discipline with curiosity about AI, developer platforms, and emerging infrastructure markets. You should be comfortable staying close to deals, coaching sellers through complex cycles, and helping customers understand both immediate use cases and long-term strategic value. WHAT YOU’LL DO - Own regional revenue targets, pipeline generation, forecast accuracy, and overall sales execution. - Lead, coach, and develop a team of enterprise Account Executives. - Build a culture of accountability, customer obsession, strong qualification, and consistent execution. - Partner closely with Sales Engineering, Customer Success, Product, Marketing, and Sales leadership to improve win rates and customer outcomes. - Drive disciplined execution across territory planning, account strategy, opportunity qualification, mutual action plans, forecasting, and expansion motions. - Stay deeply engaged in strategic opportunities, including executive alignment, deal strategy, negotiation, and closing. - Coach the team on selling to technical and executive audiences, including engineering leaders, AI teams, platform teams, product leaders, and business stakeholders. - Inspect pipeline rigorously, identify risks early, and ensure clear next steps across priority opportunities. - Develop a clear view of market demand, buyer personas, competitive dynamics, and customer pain points across your region. - Help refine LangChain’s enterprise sales motion as we scale from early GTM into a more repeatable, predictable sales organization. - Recruit, onboard, and retain high-performing sales talent as the region grows. WHAT WE’RE LOOKING FOR - 7+ years of enterprise software sales experience, including 2+ years leading quota-carrying sales teams. - Proven track record managing teams that sell complex technical products to enterprise customers. - Experience hiring, coaching, and developing high-performing Account Executives. - Strong command of enterprise sales fundamentals: qualification, discovery, value selling, mutual action plans, forecasting, negotiation, and executive engagement. - Experience selling to technical buyers such as engineering, infrastructure, data, AI/ML, developer platform, or product teams. - Ability to operate in a fast-moving, early-stage or high-growth environment where playbooks are still being built. - Strong cross-functional instincts and a collaborative approach to working with Product, Engineering, Marketing, Sales Engineering, and Customer Success. - Excellent communication skills, with the ability to simplify complex technical concepts for different audiences. - High ownership, low ego, and a willingness to be hands-on with customers, deals, and team development. NICE TO HAVE - Experience selling developer tools, infrastructure software, observability, data platforms, ML/AI tooling, or open-source commercial products. - Familiarity with LLMs, AI agents, RAG, observability, evaluations, or modern AI application development. - Experience helping scale a regional sales function at a company moving from founder-led or early GTM to a more repeatable enterprise sales motion. - Experience with MEDDIC, MEDDPICC, Command of the Message, or similar enterprise sales methodologies. - Prior success selling into both digital-native and large enterprise accounts. - Experience working in a highly technical, product-led, or open-source-influenced sales environment. WHY JOIN US AI is changing how software is built, deployed, and operated. LangChain is at the center of that shift. This is an opportunity to help build the sales organization for a category-defining company, work with highly technical and ambitious customers, and shape how enterprises adopt production-grade AI systems. You’ll join a team that values ownership, clarity, curiosity, and pace — and you’ll have the opportunity to make a meaningful impact on the company’s growth trajectory. Compensation: $350,000 - $400,000 OTE + Equity Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: San Francisco; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Baseten's engineers want to work in an AI-first way. What's missing isn't enthusiasm — it's the platform underneath it. Today everyone assembles their own agent config, context files, and MCP servers, so the good patterns stay trapped in individual setups instead of becoming defaults everyone inherits. You'll build that platform: the agent configurations tuned to our monorepo, the context and tooling layer that makes agents competent in our codebase, the evals that tell us which approaches actually work, and the rollout mechanics that get a new engineer productive with agents in week one. You are not here to mandate how engineers use AI — you're here to make the good path the easy path. Success looks like teams adopting what you build because it beats what they'd cobble together themselves, not because a policy requires it. Platform engineer, not AI evangelist. Ship infrastructure, measure it, kill what doesn't work, let adoption be the referee. The playbook for AI-first SDLC doesn't exist at any company yet. You'll write ours. EXAMPLE INITIATIVES Agent substrate — Repo-level context infrastructure that makes agents competent in our codebase (CLAUDE.md/AGENTS.md http://CLAUDE.md/AGENTS.md conventions, architecture and domain context, and the tooling to keep it accurate as code moves). Internal MCP servers giving agents scoped access to CI, observability, incident tooling, deployment state, and docs. Shared skills, subagents, and hooks that encode Baseten workflows. Sandboxed environments where agents can build and test safely. The golden path — Project templates and onboarding that ship with AI tooling configured and working. Self-serve infrastructure so teams build their own agents without you as the bottleneck. Gateway, auth, cost controls, and audit logging for internal model access. The feedback loop — Eval harnesses that answer "is this config better than that one" against real Baseten tasks, not vibes. Instrumentation of AI tool usage and its downstream effects on cycle time, review latency, and change failure rate. Honest reporting, including on what you built that didn't pan out. Agents in the SDLC — Automation where agents earn their keep: PR review triage, test gap-filling, incident context assembly, migrations and refactors, codebase Q&A. Integrating agents into CI/CD with guardrails that make it trustworthy. RESPONSIBILITIES - Own the internal AI developer platform end to end — architecture, build, rollout, operation, measurement. - Evaluate and integrate third-party AI coding tools (Claude Code, Cursor, Codex, and whatever ships next quarter), and build the context layer that makes them work against our monorepo. - Build frameworks that let other engineers create their own agents without deep LLM expertise. - Establish the evaluation practice for AI-assisted development at Baseten, and use it to drive investment decisions. - Drive adoption through developer experience — good defaults, clear docs, low friction — not mandate. - Embed with teams to find where AI genuinely unblocks them, then generalize those wins into platform capabilities. - Own the safety layer: permissions, secrets handling, audit trails, cost management. REQUIREMENTS - Have 4+ years of relevant industry experience building and enabling AI native SDLC - Strong proficiency in Python and/or Go, building tools other engineers depend on daily. - Hands-on experience with LLMs and agent frameworks — tool calling, MCP, context management, orchestration, failure handling. You've shipped something agentic that real people used, not just prototyped. - Deep personal fluency with AI coding tools and well-formed opinions about where they break down. - Platform mindset: you build for adoption and self-service, treat internal engineers as customers, and would rather ship a good default than write a style guide. - Developer tooling, CI/CD, and Kubernetes/Docker fundamentals. - Comfort with ambiguity — this space invalidates its own best practices every few months. - Excellent written communication. Much of your leverage is docs, templates, and examples that scale beyond conversations you're in. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: San Francisco; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Baseten is seeking talented and experienced Software Engineers to join our Platform team within the Infrastructure organization. As an early member of Baseten's Platform Team, you will be pivotal in building internal infrastructure to support our engineering organization. You will own the deployment platform, release pipelines, and rollout safety mechanisms that allow engineers across Baseten to deploy changes rapidly while minimizing operational risk. Our mission is to make production deployments fast, safe, and increasingly autonomous. If you are passionate about elegant solutions—like streamlined monorepos, lightning-fast CI pipelines, and thoughtfully designed shared libraries—you'll thrive at Baseten. RESPONSIBILITIES - Design and build continuous deployment infrastructure that safely rolls out changes across dozens of Kubernetes clusters and global regions. - Develop systems for progressive delivery, including canary releases, staged rollouts, and automated rollback. - Improve engineering velocity by reducing friction in the release pipeline and automating manual operational workflows. - Work with product and infrastructure teams to ensure their services are deployable, observable, and resilient at scale. - Implement and evolve deployment methodologies such as GitOps, infrastructure-as-code, and progressive delivery patterns. - Build systems that automatically evaluate deployment health using metrics, logs, traces, and alerts to detect regressions and trigger safe rollbacks. - Interest in building systems that support agent-assisted or autonomous deployment workflows using modern AI tooling. REQUIREMENTS - Strong-level proficiency in Go and/or Python. - Have worked with Kubernetes-based deployment systems at scale - Have experience building or operating continuous deployment platforms - Are familiar with GitOps tooling such as ArgoCD or Flux - Care deeply about safe production rollouts and minimizing blast radius - Excellent developer tool culture with a focus on best practices. Bonus points if you have personally developed open-source developer tools. - Are excited about building foundational infrastructure and are comfortable working independently on ambiguous, high-impact technical challenges BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: United States Workplace: Remote We’re looking for a Staff Software Engineer to help shape AI governance for developer tooling at Coder. This role sits on our AI Governance team, which builds and maintains two enterprise-grade components of Coder's AI governance stack. AI Gateway is a centralized LLM gateway that sits between coding agents and providers such as OpenAI or Anthropic, providing organizations with audit trails, token tracking, cost control, and centralized authentication. Agent Firewall wraps those agents with default-deny network policies, controlling which domains and methods they can reach inside workspaces. This team works across the full stack - from Go backend and React frontend to integrating with LLM provider APIs. Day to day, you'll be shipping features, hardening security boundaries, collaborating with enterprise customers on real-world policy needs, and contributing to Coder's open-source ecosystem.   What you'll do here - Design and build product features that push the standard for remote development in self-hosted environments - Create and improve upon popular open source projects that integrate with VS Code, JetBrains, and other developer tools - Champion best practices to both internal team members and external contributors - Collaborate with Product and Design teams at Coder, as well as with partners like JetBrains, to execute key product integrations - Document the design, implementation, and operations of systems for knowledge sharing within the team - Work alongside Customer Success teams to support Coder’s enterprise user base - Work with cutting-edge AI technologies to create seamless, painless developer experiences - Rapidly iterate from prototype to implementation in a highly adaptive, reactive team environment   What we're looking for - 8+ years of full-stack experience writing code in a professional setting, with 1+ year(s) writing Go (ideally in current or most recent position) - Proficiency in building distributed systems in Go - Excellent verbal and written communication skills - Exceptional debugging and troubleshooting skills, and the tenacity to drive a solution to a conclusion - You are self-motivated with a creative and analytical mindset   Our tech stack - Frontend: Typescript, React, Vite - Backend: Go, Postgres, GCP, Kubernetes, gRPC - Observability: Prometheus, Grafana - CI/CD: GitHub Actions - General: GitHub, Slack, Discord, Notion   Bonus tacos if you have - (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!) - Experience with TypeScript and React - You have a background in developer tooling, platform engineering, or IaC - You have a curiosity about the latest tech trends and what is going on in the world of developer tools ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Location: Istanbul ABOUT VOODOO Voodoo is a consumer tech company founded in Paris in 2013, with one mission: entertain the world. Today we are 1,000 people, generating $1b+ in annual revenue, profitably. Our games and apps have passed 7 billion downloads and reach 200 million+ active users every month, making Voodoo the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way. This position can be Turkey-based or fully remote within CET +/-2h. TEAM Our Gaming team is made up of hybrid-casual, casual and mid-core experts. Our 'Core' games team supports internal and external studios worldwide in creating, developing and launching new hit games, whilst our 'Live' games team focuses on delivering higher engagement on our existing and successful games. Voodoo is creating a new Studio with a big mission: find the next best way to entertain the world by taking our best hits to a new level. You will join a small team that is growing, composed of veterans from the industry, where you will participate in every aspect of development. The Studio is working on refreshing and expanding one of our top legacy games - Collect'Em All https://play.google.com/store/apps/details?id=com.tarboosh.collectemall&hl=en. This game has already achieved great success, and we're eager to build on that momentum to (i) deploy learnings to more portfolio games and (ii) obtain a moonshot outcome; Paper.io http://Paper.io & Hole.io http://Hole.io are good such past examples. ROLE We are looking for an outstanding Game Developer with a strong understanding of both the hypercasual and casual mobile game markets to help the team deliver on robust game roadmaps at a fast pace. You will take an innovative approach to gameplay ideas/features and give them their own spin. - Engage in hands-on coding, creating innovative features played by millions of users - Focus on balancing and core gameplay parameters/features to - Manage the development cycle with support from teammates, identifying the engineering tasks and processes needed to execute the roadmap - Partner with the General Manager in taking responsibility for technical team structure, recruitment and onboarding - Guarantee the game is being built with high standards and solid coding practices, targeting long-term quality and a high development pace - Monitor product health, working with the technical team to always increase product quality, making sure that issues are addressed on time. - Deconstruct, analyze and adapt mobile game mechanics - Work with product leadership on roadmap, rollouts and adoption - Provide technical leadership for the team With this role, you will have a strong impact on the company by contributing daily to important decisions with a senior, multidisciplinary team of passionate and talented people working on one of the most successful Voodoo games. Flesh out the details of a game's design, oversee its testing and revise the game in response to player feedback. Thanks to your creativity and your teamwork, let’s entertain millions of people with our hit games. PROFILE - A creative and hacker mindset - Good sense of gameplay experience and special attention to details - At least 5 years of professional experience on Unity or other game engines - Successful track record in top-tier mobile games - Familiar with optimization issues - Comfortable with full-remote environment - AI-first mindset: Comfortable using AI daily and building custom agents or reusable automations to speed up your work Our Gaming team is made up of hybrid-casual, casual and mid-core experts. Our 'Core' games team supports internal and external studios worldwide in creating, developing and launching new hit games, whilst our 'Live' games team focuses on delivering higher engagement on our existing and successful games. This is an opportunity to bring your ideas to life, to create your games, in an enjoyable and benign working environment among gaming lovers. Your games will be published by the worldwide leader in this field. You will get the chance to join a newly created small studio, focusing on creating and testing new hyper casual game prototypes to be published by Voodoo. You will have autonomy, a strong impact on the ideation, and a unique opportunity to reach hundreds of millions of players. You will take an innovative approach to gameplay ideas/features and give them their own spin. BENEFITS - Best-in-class compensation - Other benefits according to the country you reside

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 The Next.js team builds the open source framework that powers millions of applications and shapes how developers build for the web. Our work sits at the intersection of React, framework architecture, developer experience, infrastructure, performance, and production reliability. We are looking for an Engineering Team Lead to help build and lead a team working on Next.js. This is a hands-on player/coach role for an experienced engineer who wants to remain close to the code while helping a small team do its best work. You will be an engineer first and a manager second. You will contribute directly to the framework, lead major technical initiatives, review code, debug complex production issues, and help make architectural decisions. You will also support the engineers around you through clear direction, thoughtful feedback, and practical coaching. This is not a traditional people management role. You will spend the majority of your time on technical leadership and engineering execution. You should be comfortable owning difficult parts of the codebase while creating enough context and clarity for others to move quickly. You will work closely with Product, Design, and engineers across Vercel to guide the evolution of Next.js across rendering, caching, routing, build systems, and developer tooling. What you'll do Build and ship Next.js: Write production code, review pull requests, debug difficult issues, and contribute directly to the framework and its supporting systems. Lead major technical initiatives: Take ownership of complex projects from initial exploration through architecture, implementation, rollout, and production follow-through. Set technical direction: Make sound architectural decisions across rendering, caching, routing, build systems, runtime behavior, and developer tooling. Stay close to real problems: Investigate performance regressions, production failures, and developer pain points. Turn what you learn into practical improvements to the framework. Raise the engineering bar: Establish strong patterns for code quality, testing, performance, reliability, observability, and incremental delivery. Coach through the work: Help engineers grow through pairing, design reviews, code reviews, technical feedback, and shared ownership of challenging problems. Provide focused people leadership: Set clear expectations, give candid feedback, support career development, and help maintain a high-trust and accountable team. Improve team execution: Create lightweight planning and decision-making practices that clarify ownership, reduce unnecessary coordination, and help the team ship consistently. Partner across Vercel: Work with Product, Design, Infrastructure, Developer Experience, and other engineering teams so framework changes integrate cleanly across the Vercel platform. Champion open source: Work in public, engage thoughtfully with contributors, and balance community needs with the team’s product and technical priorities. Help grow the team: Participate in recruiting, assess technical talent, and help new engineers become productive in a complex codebase. What you need You have 8+ years of software engineering experience and remain highly effective as a hands-on engineer. You have led engineers or small technical teams, whether as a team lead, tech lead, staff engineer, engineering manager, or founder. You have recent experience writing, reviewing, and shipping production code. You are not looking to step away from engineering execution. You have strong technical judgment across React, framework architecture, or the systems behind a large-scale open source project, including rendering, caching, routing, build tooling, and runtime behavior. You can take a complex technical problem, form a clear point of view, write the critical code, and bring other engineers along with you. You know when to lead from the front and when to create space for someone else to take ownership. You have experience building products or infrastructure for developers and understand the quality, performance, stability, and usability standards this audience expects. You think in systems and can guide a team toward clean abstractions, consistent framework patterns, and technical decisions that hold up at scale. You are comfortable working through ambiguity and solving problems from first principles. You balance speed and quality. You favor incremental delivery and real-world feedback while recognizing when foundational infrastructure requires deeper investment. You communicate clearly in writing, facilitate productive technical debate, and make decisions when a path forward is needed. You use AI tools in your own workflow and have informed opinions about how agentic products should work for developers. Bonus if you have Experience maintaining or contributing to a major open source project, particularly in the React or Next.js ecosystem. Experience with compilers, bundlers, caching, rendering systems, or distributed infrastructure. Experience leading a small, senior engineering team while continuing to make substantial individual contributions. Experience forming a team or technical direction from zero to one. Familiarity with the Next.js codebase, though this is not required. Compensation & Benefits: Competitive compensation package, including equity. Inclusive healthcare package. Learning and growth support, including mentorship and opportunities to attend events that build your network and skills. Flexible time off. The equipment you need to do your role, plus a work-from-home budget to outfit your space. The San Francisco, CA base pay range for this role is $230,000 to $340,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside 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.

About our Machine Learning Business Banking team: Our mission in Business Banking is to simplify banking for small businesses; making business banking fairer, simpler and more transparent. Monzo Business Banking is fast-growing, is the UK’s most recommended business account for overall service quality. We recently hit 1 million customers and are used by 1 in 6 UK SMEs. We want to help businesses spend less time on financial admin and more time focused on running and growing their business. We’re building intelligent, data-driven and AI/ML-enabled product experiences that help small businesses feel more in control, make better decisions, and get more value from Monzo. ML is at the core of how we build and scale our products, enabling Monzo to make better decisions, faster, and helping us serve businesses more effectively. As a Lead Machine Learning Scientist in Business Banking, you’ll help build and ship models that power the next generation of Business Banking experiences. You’ll work closely with Product, Engineering, Design, Research, Data Science and Analytics Engineering to bring ML-enabled product capability into the heart of how we build for businesses. Whether it’s helping businesses understand their cash flow, reducing manual admin, surfacing the right insight at the right moment, or helping teams build intelligent product experiences responsibly, our work makes business banking smarter, simpler and more useful for SMEs. What you'll be working on As a Lead Machine Learning Scientist, you’ll be a technical leader and hands-on individual contributor, spearheading our ML and GenAI capabilities and shipping key models that powers magical Business Banking experiences. You’ll: — Be one of the first ML Scientists in Business Banking, bringing leadership through ambiguity by adding structure and direction to our ML capabilities while staying agile and building momentum. — Develop and deploy advanced ML models on our cloud-native data platform to serve hundreds of thousands of business customers. — Partner with Product, data science and other stakeholders to identify the highest-impact opportunities, size impact, and define success metrics. — Decide when to use ML, GenAI, or simpler approaches and be clear on trade-offs. — Design robust evaluation and monitoring so we can ship responsibly and measure impact in production. — Lead the design and implementation of batch and near-real-time models (e.g. LLM-powered experiences, predictive models, time-series forecasting). — Collaborate closely with MLOps and Backend Engineering to operationalise models end-to-end and raise the bar on ML lifecycle rigor. — Set technical standards, mentor others, and support experimentation and iteration. You should apply if: — What we’re doing here at Monzo excites you! — You have a multiple year track record of excellence leading the development and deployment of advanced Machine Learning models to tackle real business problems, preferably in a fast-moving tech company. — You have experience developing and shipping state-of-the-art ML models to production and delivering business impact. — You're impact-driven and excited to own the end-to-end journey that starts with a business problem and ends with your solution having a measurable impact in production. — You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so. — You speak Python fluently and have extensive, hands-on experience with scikit-learn. — You are comfortable using SQL, and keen to learn Go, which is used in many of our backend microservices. — You’re comfortable working in a team that deals with ambiguity and have experience helping your team and stakeholders resolve that ambiguity. — You want to be involved in building a product that small businesses use to run and manage their financial lives every day. — You have a product mindset: you care about customer outcomes and you want to make data-informed decisions. — You’re excited about fast-moving developments in Machine Learning and AI and can communicate those ideas to colleagues who are not familiar with the domain. — You’re adaptable, curious and enjoy learning new technologies and ideas. — You’re excited by the opportunity to help Business Banking evolve into AI and ML-enabled product capability. — You can work closely with Product, Engineering, Design, Research and Data colleagues to shape product strategy, clarify trade-offs and build things that customers actually use. — You’re thoughtful about responsible ML/AI; especially in financial products where trust, transparency and customer control matter. Nice to haves: — Experience working on personalisation, ranking, recommendation, forecasting, classification or decisioning problems for customer-facing applications. — Experience working on ML systems for fintech, banking, accounting, payments, lending, invoicing, cash flow, tax, risk or business software. — Experience with GenAI, LLMs, agentic workflows, retrieval, evaluation frameworks, or human-in-the-loop product experiences. — Commercial experience writing critical production code and working with microservices. — Experience designing experiments, A/B tests or other approaches to measure product and customer impact. — Experience working in regulated environments or with products where explainability, auditability and customer trust are especially important. The interview process: Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions! — 30 minute recruiter call — 45 minute call with hiring manager — Full Loop: ML Modelling Interview, Product & ML interview, Behavioural Interview, Leadership interview Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on tech-hiring@monzo.com. Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason. What’s in it for you: — We can help you relocate to the UK — We can sponsor visas — This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). — We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. — Learning budget of £1,000 a year for training courses and conferences — And much more, see our full list of benefits here If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.

Location: San Francisco, CA Workplace: OnSite ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE We’re looking for an IT Site Specialist to join our IT Team at Ramp based in our San Francisco office! This is a temporary full-time on-site role that blends hands-on, in-person site support with ownership of our core SaaS application stack, and we weigh both sides equally. On the site side, you’ll be the primary IT presence in SF — owning deskside support, onboarding/offboarding, endpoint and AV support, and office inventory. On the application side, you’ll administer the tools the whole company depends on — Okta, Google Workspace, Slack, JAMF, and a growing set of SaaS platforms — owning provisioning, access, portfolio, renewals, integrations, and automation. We’re looking for someone who takes pride in running a smooth on-the-ground operation while also thinking like a systems owner who scales IT through automation and sound identity practices. WHAT YOU’LL DO - Provide in-person support at our San Francisco office 5 days/week, acting as the site’s primary IT point of contact. - Perform IT Support Specialist (L4) duties, encompassing all responsibilities of the IT Support Specialist role. - Provide deskside/walk-up support and resolve IT tickets end-to-end. - Handle advanced troubleshooting and internal escalation before handoff to Pod 2 – IT Engineering. - Triage and field support requests across tickets, email, Slack, and the team-it-ops and help-it distros; proactively work to minimize volume and improve SLAs. - Direct and review Serval (AI support agent) workflow runs — step in when automated resolution fails, and contribute workflow builds and guidance improvements. - Coordinate application onboarding/offboarding tied to lifecycle events (joiner/mover/leaver) — provisioning, deprovisioning, and access changes across the SaaS stack. - Administer core applications (Okta, Google Workspace, Slack, JAMF, and other SaaS tools): user lifecycle, group/role management, and SSO/SCIM integrations. - Own application portfolio management — seat counts, usage tracking, and license optimization. - Manage SaaS renewals — tracking contract dates and coordinating renewals/cancellations. - Partner with Pod 3 on SaaS App Strategy execution from an operational/usage standpoint. - Build and maintain integrations and automations to reduce manual work and enforce least-privilege access. - Manage on-site hardware inventory, lifecycle, and procurement coordination — stock levels, reorder requests, and coordinating with fulfillment vendors (e.g., Firstbase, SHI, CDW, Amazon). - Support AV/conference room reliability in the SF office. - Take ownership of small and large projects, partnering with internal and external teams to deliver. - Perform recurring audits on application licenses, access, and hardware; drive remediation. - Create technical and user-facing documentation; push the team toward industry best practices. - Be an advocate for our users — understand their challenges and remove blockers with empathy. WHAT YOU NEED - Minimum 4 years of technical experience in an enterprise-size organization, with hands-on experience in both on-site IT support and SaaS/application administration. - Strong knowledge of our core tech stack: Okta, Google Workspace, Slack, JAMF, and modern SaaS tools. - Solid understanding of User Lifecycle Management, identity/access management, and least-privilege principles. - Experience with SSO/SCIM provisioning and building integrations or automations across SaaS platforms. - Experience managing SaaS application portfolios, license optimization, and vendor renewals. - Experience with deskside support, ticket resolution, and knowing when to escalate to an engineering team. - Comfort owning the physical site experience — endpoint troubleshooting, AV, and inventory — alongside back-end application administration. - Strong attention to detail, execution-oriented, and comfortable owning ambiguous, cross-functional work. NICE-TO-HAVES - Experience in high-growth startups. - Experience managing macOS/Windows in hybrid/remote environments. - Scripting/automation experience (e.g., Python, API integrations, workflow tools). - Experience with AI-assisted support tooling and workflow automation (e.g., Serval or similar). - Experience coordinating hardware procurement with fulfillment vendors (e.g., Firstbase, SHI, CDW). - Okta Certified Professional / Administrator. - Slack Certified Admin. - Google Workspace Administrator experience. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Europe; London; United States; New York; United Kingdom; Toronto; 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! About North: North https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. Why this role: The Data Abstractions & Tools team is the group inside North responsible for how users bring their data into the platform and put it to work. We own the systems that let users upload, organize, and share their files and knowledge bases, the framework for extending agents with skills and third-party integrations, and the data-sync pipeline that connects enterprise data sources to North's agents. North connects to a growing set of external tools and data sources so its agents can act on a user's real workflow. This role owns the integration pipeline end-to-end: adding new integrations to the platform, helping other engineers do the same, and becoming the owner of the process that makes that repeatable. You will also create the evals and tests that make sure those integrations work as expected and keep working as the platform evolves. In this role, you will: - Build new integrations (tools) on the North agentic platform, and maintain the ones already in production. - Own the integration pipeline: the process for adding a new tool, from design to shipping to ongoing maintenance. - Help other engineers add integrations of their own, and raise the bar for how the team does it. - Create evals and tests to make sure integrations work as expected and alert on regressions. - Tune tool descriptions to improve performance based on feedback and evals. - Use AI actively in your work, while staying accountable for the quality and reliability of what you ship. You may be a good fit if: - You have shipped production code and are comfortable building integrations against external APIs. - You have a background in evaluating agentic systems (ideal), or at minimum know what an eval is and are comfortable with prompt engineering and tool-description tuning. - You excel in fast-paced environments and can execute while priorities are a moving target. - You bring high agency: you learn quickly and drive change without waiting for perfect instructions. - You've owned things end-to-end before and care about the quality of what ships, not just that it shipped. - You enjoy helping other engineers succeed, not just shipping your own work. 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: Denver, 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. T ogether, 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 Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies. We're looking for an engineering manager to lead our Metadata team, which owns the metadata layer of the dbt platform: the discovery API, catalog, lineage, and run history services that let customers understand, trust, and act on what their data is doing. You'll own technical excellence and delivery of a single team, from evolving high-throughput APIs and data models, to hardening reliability and latency for enterprise and single-tenant customers, to shipping new discovery and catalog capabilities in close partnership with product. You'll set direction, review designs and code, remove roadblocks, and grow the engineers on your team through coaching, feedback, and clear career development. What You'll Do Lead and grow a team of software engineers, owning hiring, onboarding, coaching, career development plans, and regular 1:1s and check-ins Own project delivery for your team against the quarterly plan, and be accountable for the reliability and performance of the services you own (e.g. uptime and latency targets) Review technical designs and code, and provide feedback grounded in a deep understanding of the Metadata product area and architecture Drive the team to address technical quality — incidents, bugs, tech debt, and post-mortems — within SLA and metric targets Partner with product and business stakeholders on planning, and maintain a realistic, prioritized feature and project backlog with a high completion rate Contextualize and communicate the engineering vision and strategy to your team, and share the team's work and business impact with adjacent teams Ensure engineering processes (e.g. FDLC) are implemented and consistently followed Delegate effectively and build autonomy and a positive, high-trust culture within the team Address performance issues and conflict promptly and fairly Ensure your team uses AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans Skills We're Looking For Experience managing and growing a software engineering team (ideally a customer-facing product development team); including hiring, coaching, and running a full performance and career-development cycle Strong technical foundation with the ability to review designs and code and make sound architectural trade-offs in a distributed, cloud-based systems environment Track record of delivering complex projects on schedule while holding the team to high standards of quality, reliability, and performance Experience owning production services and driving operational health — incident response, on-call practices, tech-debt reduction, and meeting SLAs Ability to plan and prioritize with product partners, maintain a realistic backlog, and drive high sprint and quarterly completion rates Communicates clearly and effectively across the team and with adjacent teams and stakeholders; keeps people well informed Fluent in using AI code assistants, coding agents, and conversational AI (e.g. Claude, ChatGPT) to support the software development lifecycle, and able to establish those practices across a team Bonus Skills Experience building or operating metadata, catalog, lineage, or discovery/search systems Experience with GraphQL APIs and high-throughput, multi-tenant data services Familiarity with the analytics engineering workflow and the dbt ecosystem Experience supporting enterprise or single-tenant customers with strict reliability and latency requirements 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. Denver Pay Range $186,701 — $233,376 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: North America Workplace: Remote At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. The Data team works across Linear, supporting Product, Engineering, and GTM. We own our data pipelines, warehouse, dashboards, analysis, and integrations with third-party tools. As a small team, we focus on building systems that make data accessible and useful across Linear. We’re looking for someone who wants to help shape how we architect, build, and use data as we grow. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you’ll do - Work across Product and GTM (Marketing, Sales, Customer Success, and Finance) to turn ambiguous questions and operational needs into useful metrics, models, analyses, and workflows - Build and maintain dbt models and pipelines that create trusted views of our product, customers, and business - Design clear, maintainable data models and improve the testing, documentation, performance, and reliability of our data stack - Build dashboards and self-service reporting in Metabase and Hex, and dig deeper when the answer requires more than a chart - Operationalize data through reverse ETL and partner with GTM Engineering on the scoring, segmentation, automations, and internal tools that help our teams scale - Balance fast, pragmatic answers with durable solutions, recognizing when a one-off request should become a reusable model or workflow - Find ways to leverage emerging tools, LLMs, and coding agents to accelerate development, analysis, testing, and documentation while maintaining a high bar for correctness What we're looking for - 8+ years of experience in analytics engineering, data analytics, or data engineering, ideally at a fast-moving software company - Exceptional SQL and strong hands-on experience with dbt and a modern cloud data warehouse - Track record of owning data projects end-to-end, from shaping an ambiguous problem to shipping something people rely on - Strong data modeling judgment: you think clearly about grain, reusable components, interfaces, dependencies, and maintainability without relying on a single prescribed methodology - Analytical judgment: you know when to answer quickly, when to investigate deeply, and how to turn complex findings into a clear recommendation - Comfortable moving between technical implementation and business context, from debugging a data model to understanding product adoption or sales efficiency - High ownership mentality: self-directed, pragmatic, and willing to challenge a request or approach when something does not make sense - Strong communication skills and experience partnering directly with both technical and non-technical teams - Comfortable using LLMs and coding agents as part of your day-to-day development workflow Our tech This stack reflects the systems you’ll work in. You’re not expected to have experience with everything listed, but you should be comfortable learning quickly and working across the full lifecycle of data. - Data Warehouse: Snowflake, dbt Cloud - Dashboards / Analysis: Metabase, Hex - ETL / rETL: Hevo, Fivetran - GTM tools: Hubspot, Pocus, Clay What we offer We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect: - Competitive salary and equity - Employee-friendly equity terms including early exercise in the US and extended exercise windows - Daily meal and coffee stipend on every workday - Paid co-working space or desk - Health coverage (based on country requirements) - 5 weeks paid vacation, plus local statutory holidays - 4 months paid parental leave - Paid month off after 4 years & every 2 years thereafter - Regular team events and off-sites - Remote-first with no required commute Learn how we think and work - A story about our mission: Read Me https://linear.app/readme - Our hiring process: How we hire at Linear https://linear.app/now/how-we-hire-at-linear - How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear - How Linear uses Linear: How our Customer Experience team works in Linear https://linear.app/now/cx-in-linear - A video series: Conversations on Quality https://linear.app/quality - Building our teams: Why and how we do work trials at Linear https://linear.app/blog/why-and-how-we-do-work-trials-at-linear - Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

Location: Japan (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: Make a difference. The Solutions Engineering team are the customer facing product experts. The team enables Grafana Labs worldwide growth by educating potential and existing customers to ensure that they are happy and successful. We share our technical and product expertise with customers through demos, hands on enablement, presentations, technical evaluations and ongoing interaction. We partner closely with our Sales team to help qualify and close opportunities. The Solutions Engineering team is one of the primary routes of communication from our customers to the Product Management and Engineering teams. A Solutions Engineer is able to really listen to a prospect or customer, understand their requirements, ask the right questions to extract as much information as required and translate all that into a solution with Grafana Labs technology. They are the bridge between the highly technical engineering folks here at Grafana Labs, our customers and our Sales team. What You’ll Be Doing: Partner with our Sales team to articulate the overall Grafana value proposition, vision and strategy to customers Own the technical engagement with customers and help close complex opportunities through advanced competitive knowledge, technical skill and credibility Deliver product and technical presentations to potential and existing customers Effectively communicate with customers and internal teams to provide feedback on our products and the competitive landscape Drive product conversations based on need and problems with customers Work with the team to enhance documentation, write blog posts, record videos, contribute knowledge base articles and create other public or private enablement material What Makes You a Great Fit: Located in Tokyo, Japan 5+ years of technical pre-sales experience, ideally with Open Source technologies, or in the Metrics/Monitoring space Be open to various and complex assignments, this will require strong judgment, collaboration, and leadership You will need first class written and oral communication skills to collaborate with our remote-first internal teams and with our worldwide customers. You will need to be able to skillfully articulate our value proposition and the technical advantages of our products You love solving technical challenges and thrive on bringing creative solutions to our customers You should have a technical mindset and a desire to grow technically Experience with sales methodologies like MEDD(P)ICC is a plus. Compensation & Rewards: The OTE range we have for Japan is 14m - 18.5m JPY. 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: North America Workplace: Remote At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. Linear is in a unique position—we are profitable, which gives us the flexibility to invest thoughtfully as we grow. We want to build a company that scales well—not just in our product, but in how we run our GTM programs. In this role, you’ll design and evolve the systems and process that power our deal desk process. This person will help build the mechanics behind our sales-led deals: quotes, order forms, pricing, discount approvals, and contract terms. A strong candidate has run quote-to-cash at a SaaS company and can spot where the process is slow, manual, or leaky. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America (west coast). We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you'll do - Own the quote-to-order-form workflow: accurate quotes, correct terms, and a clean path from verbal yes to signed and billed - Build and run the deal approval and discount matrix, so Account Executives know what they can self-serve and what needs sign-off - Be the single point of contact for deal structuring questions that today land on Account Executives mid-deal - Partner with Finance and Legal to keep the order-to-cash process clean, controlled, and free of revenue leakage - Support usage-based and consumption deals as AI billing rolls out, from how they are quoted through the hand-off to billing - Find and remove manual work: automate what can be automated, document what needs to be documented - Help us get and stay audit ready by making sure deals are recorded correctly What we're looking for - 3-5 years in deal desk, order management, revenue operations, or quote-to-cash, ideally at a high-growth SaaS company - Strong command of the full quote-to-cash cycle, from pricing and approvals through order form and billing hand-off - Comfortable building process from scratch: workflows, approval logic, controls, and documentation, without a playbook handed to you - Sound judgment on the tradeoff between deal speed and control, and on sensitive pricing and deal information - A clear communicator who can hold a deal conversation with an Account Executive, Finance, and a customer, and have each one walk away with what they need - Proficiency with CRM and quoting tools; experience with usage-based billing, multi-currency, or CPQ is a strong plus What we offer We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect: - Competitive salary and equity - Employee-friendly equity terms including early exercise in the US and extended exercise windows - Daily meal and coffee stipend on every workday - Paid co-working space or desk - Health coverage (based on country requirements) - 5 weeks paid vacation, plus local statutory holidays - 4 months paid parental leave - Paid month off after 4 years & every 2 years thereafter - Regular team events and off-sites - Remote-first with no required commute Learn how we think and work - A story about our mission: Read Me https://linear.app/readme - Our hiring process: How we hire at Linear https://linear.app/now/how-we-hire-at-linear - How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear - How Linear uses Linear: How our Customer Experience team works in Linear https://linear.app/now/cx-in-linear - A video series: Conversations on Quality https://linear.app/quality - Building our teams: Why and how we do work trials at Linear https://linear.app/blog/why-and-how-we-do-work-trials-at-linear - Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

Location: New York, NY (HQ); San Francisco, CA; Toronto, ON Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE As a Customer Activation Manager at Ramp, you’ll help partner-sourced customers improve how they manage their finances. You’ll own a book of approximately 80 customers, guiding them through implementation and helping their teams adopt new workflows, including Ramp’s AI and agentic finance capabilities. This role goes beyond getting customers live. You’ll work with finance leaders, their teams, and external partners to understand what needs to change, address resistance, and make sure customers see measurable value from Ramp. We’re looking for someone who’s led customers through change, is comfortable working with CFOs and Controllers, and uses AI regularly in their own work. WHAT YOU’LL DO - Guide partner-sourced customers from implementation through ongoing workflow adoption, with accountability for time to value and business outcomes. - Build a change management plan for each account: identify stakeholders, understand what’s slowing adoption, and help customer teams work through it. - Help CFOs and Controllers measure Ramp’s impact, including improvements in close cycles, spend visibility, variance reduction, and ROI. - Manage relationships across the customer’s organization, including finance leadership relationships you’ll own independently. - Use AI to prepare for calls, build customer materials, synthesize data, spot account risks, and reduce repetitive work. - Help customers evaluate and adopt Ramp’s agentic finance capabilities, including the changes these workflows require in their teams’ day-to-day work. - Work with Channel Partner Managers, Partner Consulting, Account Executives, and Technical Consulting to coordinate implementations and identify opportunities to expand Ramp’s use. - Share recurring customer needs, product gaps, and feedback with Product. WHAT YOU’LL NEED - 5+ years in customer success, consulting, implementations, or a similar customer-facing role, with a consistent record of delivering customer outcomes and exceeding goals. - Experience driving workflow adoption and managing organizational change, including navigating stakeholder resistance. Finance or fintech experience is helpful but not required. - Regular, hands-on use of AI to prepare for calls, synthesize information, create customer-facing materials, and automate repetitive tasks. - The ability to build a business case for workflow changes and explain their financial impact to CFOs and Controllers, connecting implementation progress to business results. - Enough technical depth to work with Product and Engineering on integrations, APIs, and workflow design, and explain those topics to customers. - Success in a fast-paced GTM environment, ideally at a SaaS or fintech company. - Strong collaboration skills and the ability to get work done across Sales, Product, Operations, and other GTM teams. NICE-TO-HAVES - Experience helping customers adopt AI-powered or agentic workflows, with an understanding of what gets in the way of adoption. - Familiarity with FP&A, accounting platforms such as NetSuite, Sage, QuickBooks, or Xero, expense management, or other finance workflows. - Measurable results in expansion, retention, or time to value. - Experience at a company where AI was central to the product or how the team worked. - Experience managing 50+ customers at once, prioritizing across accounts, and turning open-ended problems into clear plans. - Experience working with third-party partners or consultants on customer activation and new use cases. - Experience in a high-growth company or startup, where priorities and processes change quickly. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: San Francisco; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Baseten is seeking talented and experienced Software Engineers to join our Observability team within the Infrastructure organization. As an early member of the Observability Team, you will be pivotal in building and shaping the observability experience for our internal and external customers. By joining this team, you’ll have a direct impact on the reliability and operational excellence of Baseten's product systems. As Baseten scales its infrastructure across different cloud providers and diverse hardware, the volume and complexity of operational data is growing by orders of magnitude. This team is responsible for building high-throughput ingest pipelines, cost-efficient storage, and agentic diagnostic tools to ensure that we can detect, diagnose, and resolve issues in minutes rather than hours, even as the systems they operate become more complex. RESPONSIBILITIES - Design and build scalable telemetry ingest and storage pipelines for metrics, logs, and traces across Baseten’s multi-cloud infrastructure - Own and evolve core observability platforms, driving migrations and architectural improvements that improve reliability, reduce cost, and scale with organizational growth - Build instrumentation libraries, SDKs, and integrations that make it easy for engineering teams to emit high-quality telemetry from their services - Drive alerting and SLO infrastructure that enables teams to define, monitor, and respond to reliability targets with minimal noise - Partner with Inference, Product, and Infrastructure teams to ensure observability solutions meet the unique needs of each organization REQUIREMENTS - Have deep experience with at least one observability signal area (metrics, logging, tracing, or error analytics) and familiarity with the others - Understand high-throughput data pipelines, columnar storage engines, and the tradeoffs involved in ingesting and querying telemetry data at scale - Have experience operating or building on top of observability platforms such as Prometheus, Grafana, ClickHouse, OpenTelemetry, or similar systems - Have strong proficiency in at least one of Python, Rust, or Go - Have excellent communication skills and enjoy partnering with internal teams to improve their operational visibility and incident response capabilities - Interest in applying AI/LLMs to operational workflows such as automated root cause analysis, anomaly detection, or intelligent alerting - Are excited about building foundational infrastructure and are comfortable working independently on ambiguous, high-impact technical challenges BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Oakland, California, United States 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. 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 Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies. We're looking for a staff software engineer to be a technical leader on our Metadata team, which owns the metadata layer of the dbt platform — the discovery API, catalog, lineage, and run history services that let customers understand, trust, and act on what their data is doing. As a Staff Software Engineer , you'll contribute to the technical direction for the team. You'll own the architecture of major subsystems, lead complex projects that span multiple engineers, and raise the bar for design and code quality across the team. You'll spend your time on the hardest technical problems, and multiply the team through design reviews, coaching, and mentorship. This is a full-time, fully remote position. We do expect the successful candidate to come to the Oakland, CA office from time to time. Technologies You'll Use Python, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog What You'll Do Lead the design and delivery of complex, team-level projects across the Metadata services, coordinating development across multiple engineers Independently design and develop the architecture of new subsystems, and own team-level subsystems end to end Use AI tooling and agents — across development and SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans Review and approve technical designs, ensuring they meet a high quality bar, and identify design deficiencies before they ship Drive technical initiatives across the team's responsibility areas — discovery API, catalog, lineage, and run history Set and uphold design, architecture, and coding best practices, and hold teammates accountable for code quality Coach and mentor engineers, demonstrably improving the quality of code across the team Write technical specs, document common components, and keep the team accountable for necessary project documentation Fix and optimize critical parts of the codebase, drive incident follow-through, and advance the reliability and performance of the services you own Participate periodically in the on-call rotation Skills We're Looking For 8+ years of software engineering experience with a track record of leading complex, team-scope technical work to completion Deep expertise designing and owning subsystems in distributed, cloud-based systems Demonstrated ability to set technical direction for a team and drive multi-engineer initiatives across an area of ownership Excellent design and architecture judgment; identifies design flaws in existing systems and proposes sound solutions with clear trade-offs Writes exemplary, well-tested code that serves as a model for others, and reliably estimates and delivers sprint to sprint Strong track record of raising quality through code review, coaching peers, and enforcing accepted engineering practices Experience partnering with QE on test strategy and owning operational health — incidents, post-mortems, reliability, and performance Proficiency in a modern backend or systems language such as Python, Java, C++, or C# Hands-on experience with cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and managing dev infrastructure Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to author, review, and synthesize SDLC artifacts — and able to model those practices for a team Bonus Skills Experience in data processing (ETL, ELT) and/or cloud-based data platforms Experience architecting metadata, catalog, lineage, or discovery/search systems Experience with GraphQL APIs and high-throughput, multi-tenant data services Familiarity with the analytics engineering workflow and the dbt ecosystem 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 $196,033 — $245,041.50 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: San Francisco, California; New York, New York Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: The Product Infrastructure team works on creating abstractions and data models that solve enduring problems across the stack. We solve problems that span multiple product surfaces and typically stretch across both front-end and backend and unblock new product avenues that were previously challenging to create. This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Shape and build the core frameworks that enable reading and writing data in Notion, integrating feedback from internal customers along the way, using whatever tools are required for the job, such as AWS, Postgres, NodeJS, TypeScript, React on the frontend. - Design new systems and abstractions that improve developer productivity, reliability, and performance by handling entire classes of problems up-front for product engineers. - Solve hard technical challenges such as designing abstractions for efficient traversal of the user content graph, building a system to sync user content for offline use, or scaling our permission model to serve large customers with complex content. SKILLS YOU'LL NEED TO BRING: - Thoughtful problem-solving: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose tricky problems and work towards a clean solution. - Pragmatic and business-oriented: You care about business impact and prioritize projects accordingly. You're not just going after cool stuff—you understand the balance between craft, speed, and the bottom line. - Strive for simplicity: You think critically about the implications of what you're building, and aim for the most simple and well-crafted design. You understand the consequence of complexity, and are motivated to eliminate them. - Not ideological about technology: To you, technologies and programming languages are about tradeoffs. You may be opinionated, but you're not ideological and can learn new technologies as you go. - Empathetic communication: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and compromise when needed. - Team player: For you, work isn't a solo endeavor. You enjoy collaborating cross-functionally to accomplish shared goals, and you care about learning, growing, and helping others to do the same. NICE TO HAVES: - You have leveraged the features of typed languages (e.g. TypeScript, Flow) to drive code migrations, or have implemented your own data modeling paradigms (e.g. writing your own ORM, sync engine, or query language). - You have seen how fundamental abstractions scale within a large codebase, and are curious about how different organizations solve similar problems (e.g. TAO by Meta, Zanzibar by Google). - You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work. - You have interests outside of technology, such as in art, history, or social sciences. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $150,000 - $200,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.