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Location: Boston, MA; Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY; Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Endpoint team (Client Platform Engineering) manages the devices Anthropic’s people work on, plus the infrastructure underneath them. We treat the fleet as a distributed platform, not a collection of devices, and configuration ships as code through pull requests, CI, staging, and a canary group. Today the fleet is mostly macOS, with a growing mobile footprint. Anthropic also works with vendor and business process outsourcing (BPO) partners whose teams need access to Anthropic systems. Those programs are growing, in more countries and with more vendors. Anthropic-owned Chromebooks issued to vendor staff are becoming the default device for vendor teams. This role exists to make ChromeOS a supported platform with a dedicated owner. You will own ChromeOS end to end, from how devices are bought and enrolled to how they are locked down, monitored, and retired, and help bring Android in as a second platform. The team is deliberately lean and runs with high autonomy. You’ll define what ChromeOS looks like at Anthropic and own the platform decisions that get it there. Responsibilities Own ChromeOS as a platform at Anthropic: device standards, Google Admin console and Chrome Enterprise setup, organizational unit design, and policy Manage ChromeOS policy as code through the Chrome Policy API, GAM, and Terraform, in the team's config-as-code pipeline, so changes are reviewed, tested, and progressively rolled out like the rest of the fleet Build zero touch enrollment through resellers, so a Chromebook arrives enrolled and works the first time in every country our vendor partners work from Work with IT Operations and procurement partners on buying and shipping devices internationally, including regions our current partners don’t reach Design device models for vendor teams (kiosk, managed guest sessions, shared devices, and assigned devices) and pick the right one for each program Lock devices down to what the work needs: copy and paste, downloads, printing, USB, and app and extension controls Own the device lifecycle for vendor fleets, from enrollment to wipe, lock, and retrieval when an engagement ends Feed ChromeOS device data into our fleet telemetry, tracking which devices are checking in, OS version, and drift between expected and actual state Partner with Corporate Security on hardware standards (such as Verified Access attestation and minimum AUE date), device trust signals, and access decisions Work with Security on the contractor access model and on keeping Anthropic data off vendor devices Run data loss controls through Chrome Enterprise Premium Work with Security on the vendor identity model: which accounts vendor staff use and in which tenant Support Android as a second platform, working with the corporate mobile program on Android Enterprise and zero-touch enrollment Write the runbooks IT Operations and vendor partners use to stand up a new program You may be a good fit if you Have owned ChromeOS as a platform for a fleet of thousands of devices Know the Google Admin console and Chrome Enterprise well: OU design, device and user policy, enrollment, and reporting Have automated ChromeOS policy through the Chrome Policy API or GAM Have run kiosk, managed guest, or shared device programs for frontline, contact center, or outsourced teams Have set up zero touch enrollment with resellers and shipped devices across several countries Have worked with Android device management and can hold your own in a mixed fleet Excel at ambiguous problems that touch several teams at once Communicate technical concepts clearly to any audience, including vendor partners View IT Engineering as requiring product engineering rigor Write clear documentation as a natural part of your workflow Strong candidates may also Manage device configuration as code (pull requests, CI, staged rollout) instead of clicking in consoles Have managed ChromeOS alongside macOS or mobile fleets Have used VDI or browser-based access to keep data off the device for outsourced teams Have supported BPO or vendor programs through fast growth into new regions Have built automated, progressive rollout systems with promotion gated on telemetry Have used LLMs to automate operational work, or are excited to make Claude a teammate Technical Skills Python and shell scripting ChromeOS management through the Google Admin console and Chrome Enterprise Google Admin SDK, Chrome Policy API, and GAM for automating policy and reporting Android Enterprise management (working knowledge) Querying live device state at fleet scale GitOps and CI for configuration management Endpoint security fundamentals Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $325,000 — $360,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring a Embedded Engineering Manager to build and lead a new embedded team for a next-generation wearable. The team owns the firmware that members interact with directly on the device: how it responds to them, how it presents their data, and how it feels to use every day. It takes that firmware from early prototypes through new product introduction and into production. This role combines technical leadership with people management. You will lead a team of full-time and contract firmware engineers and grow it as the program scales. You will take part in architecture decisions with the program's technical leads, review the team's code, and own its delivery schedule. You won't be the team's primary developer, but you will be close enough to the code to step in when it helps. You will work closely with Product, Design, Hardware, and Quality, and with the firmware teams building sensors, connectivity, and power on the same device. RESPONSIBILITIES - Build, manage, and mentor a team of embedded engineers through hiring, onboarding, feedback, performance management, and career development. - Direct the work of contract engineers alongside full-time staff, holding both to the same design and code quality bar. - Lead the team's delivery of the member's on-device experience firmware, from prototype through production release. - Partner with the program's technical lead and senior engineers on architecture for responsive, power-efficient firmware on resource-constrained multi-core hardware. - Serve as a player-coach who reviews code and shapes designs, contributing directly when the team needs it. - Own the team's planning and delivery cadence, keeping scope, dependencies, and risk visible to partners and leadership. - Partner with Product and Design to turn member experience goals into firmware requirements that fit the hardware's memory, compute, and power budgets. - Set engineering practices for testing, hardware-in-the-loop validation, release readiness, and field diagnostics. - Foster a culture of high standards, direct feedback, accountability, psychological safety, and continuous learning. QUALIFICATIONS - 5+ years of embedded firmware development in C or C++, including experience as an engineering manager or team lead responsible for mentorship, feedback, and career development. - Experience shipping firmware in a consumer electronics product, from early hardware bring-up through production. - Hands-on experience with an RTOS (Zephyr, FreeRTOS, or similar) on microcontrollers or embedded SoCs. - Experience optimizing firmware for performance, memory, and power on constrained hardware. - Demonstrated ability to plan and deliver in ambiguous environments, including early-stage hardware programs where requirements are still forming. - Strong communication skills, including the ability to explain technical tradeoffs to Product, Design, and leadership. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work meets the same quality bar as personal contributions. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $150,000-$215,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.   In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.   Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.

Location: Mexico POWER A WORLD OF TRUST Incode is the leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust. Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming, and more, by reducing fraud and transforming human interactions with data, products, and services. We’re in the process of rapidly scaling our diverse global team and we’re looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up! About Incode Incode is a Series B unicorn ($2 B valuation) rewriting how the world proves identity. Our AI-powered platform lets leading banks, fintechs, marketplaces, and governments deliver friction-free experiences while defeating fraud and safeguarding privacy. Customers such as Citi, AirBnB, Block, Chime, Sixt, and TikTok rely on Incode to power their identity verification and security. Recently named a leader in the Gartner® Magic Quadrant™ for Identity Verification, we’re scaling fast. The Impact You’ll Make Growth at Incode owns the top of funnel - the pipeline that feeds every region's revenue number. This role exists to build the systems that generate it. You'll ship AI agents, automations, and workflows across the full top-of-funnel surface: outbound, inbound, lead qualification and routing, event and conference motions, account and competitive research. The work is grounded in live Salesforce, Supabase, and Outreach data and supports revenue teams across NAM, LATAM, and EMEA. The Growth AI Office - our multi-agent GTM operating system - is where it lives, and a fleet of these agents is already in daily production use. Today that fleet is built and maintained by a single engineer. You are the second builder. You'll design and ship new agents, harden the ones already running, and own the integration layer that connects them to the systems revenue actually runs on. This is not an internal-tools ticket queue and it is not research. It is applied engineering where the output is measured in qualified pipeline, meetings held, and hours returned to a 24-person revenue team. A note on the title: "Growth Engineer" means different things at different companies. Here it does not mean product-led growth or experimentation infrastructure - Incode sells to banks, fintechs, marketplaces, and governments, and there is no self-serve funnel to optimize. It means engineering applied to pipeline generation. You will write and deploy production Python and Node services, stand up MCP servers, and own your own CI/CD - not configure a no-code platform. If your strongest work is A/B test infrastructure and activation metrics, or enrichment waterfalls inside a vendor UI, this is the wrong role. If you are an engineer who chose revenue systems as your problem space, keep reading. What You’ll Own & Drive Top-of-Funnel Agent Development - Design, build, and ship production LLM agents that generate and qualify pipeline: scoped skills, explicit guardrails, human-in-the-loop checkpoints, and clean multi-agent handoffs. Take agents from concept to daily use by non-technical operators across outbound, inbound, and event motions. MCP & Integration Infrastructure - Build and operate the Model Context Protocol servers and clients that connect agents to Salesforce, Outreach, Supabase, ZoomInfo, Notion, and Slack. Own authentication, token scoping, pagination, rate limiting, and graceful failure - including for systems with no native integration path. Grounding & Evaluation - Keep agent output tied to real records, not plausible-sounding invention. Build schema-aware retrieval, reconciliation checks, eval harnesses, and regression tests so a prompt change never silently degrades a production agent. Workflow & Decision Automation - Implement routing, scoring, and trigger logic across automation platforms (n8n, Tines-class) and custom services: webhooks, scheduled jobs, event-driven pipelines. Internal Tooling & Reporting - Build the web apps, dashboards, and interactive reporting that put agent output in front of BDRs and leadership in a form they'll actually use. Documentation & Durability - Write the runbooks, skill specifications, and architecture docs that make the agent fleet maintainable by more than one person. Enable GTM operators to extend what you build without filing a ticket. The Qualities That Set You Apart Agent-Native Builder - You've shipped LLM-powered systems that real people depend on, and you know the difference between a demo and something that survives contact with messy production data. Integration Instinct - You default to connecting systems rather than replacing them, and you're comfortable building the middleware that vendors didn't. Evaluation Discipline - You treat prompts and agent skills as code: versioned, tested, measured. You can tell someone whether a change made an agent better, with evidence. Data Integrity First - Before you automate on top of a number, you check whether the number is trustworthy. You've been burned by a bad join and you don't intend to be again. GTM Fluency - You can read a pipeline report, hold a conversation about conversion rates, and design for how a seller actually behaves rather than how the org chart says they should. Ownership Under Ambiguity - You scope your own work from a business problem, ship something usable fast, and iterate. You operate like a founder with a unicorn's resources behind you. Handoff Mindset - You write so that the next person can run it. You measure success partly by how little you're needed for maintenance. Your Background Engineering foundation 4+ years professional software engineering 1+ year building and shipping LLM-powered applications or agents to production - used daily by people who are not engineers Strong Python and Node.js/TypeScript in production; React sufficient to build internal UI end to end At least one internal application you built start to finish: data model, backend, interface, auth, deployment, and the maintenance afterward CRM and revenue systems - required Hands-on experience with both Salesforce and HubSpot. We run both, and this role writes against both. We are not asking for admin certification - we are asking for working fluency: standard and custom objects, field-level behavior and validation, record ownership and sharing, REST and bulk APIs, and a clear sense of what breaks downstream when you change something upstream Sales engagement platform experience - Outreach, Salesloft, or Apollo: sequence and step models, prospect and mailing data structures, and API access patterns A realistic view of how revenue data degrades in practice: duplicates, stale ownership, unenforced picklists, half-migrated fields - and what that means for anything automated on top of it Bonus: enrichment and contact data providers (ZoomInfo, Clay, Lusha-class) at the API level rather than the UI level Databases and data work Production experience with Postgres or Supabase: schema design, migrations, indexing, query tuning, row-level security SQL fluency against a warehouse - Redshift, Snowflake, or BigQuery-class - including window functions and incremental models You have reconciled the same metric across two systems, found the delta, and explained it to a non-technical stakeholder Automation, end to end You have designed, built, deployed, monitored, and maintained automations in production - not just built them. You own the alerting and the failure modes for your own work Webhooks, queues, scheduled jobs, retries, idempotency, and backfills. You have debugged a job that silently stopped firing Automation platform experience (n8n, Tines, Zapier-class) and the judgment to know when to abandon the platform and write the service instead. We care more about the second half of that sentence Routing, scoring, and decision logic implemented as code with test coverage, not as a chain of conditional blocks nobody can read AI and agents Hands-on with MCP - servers, clients, custom endpoints - or an equivalent tool-calling and agent framework Production LLM API integration (Anthropic-class): structured output, tool definitions, context management, cost and latency tradeoffs Prompt and skill design treated as versioned artifacts, with some method for evaluating whether a change helped Deployment, integration, and security Cloud deployment ownership: AWS, containerized hosting, CI/CD (GitHub Actions); Terraform or another IaC tool a plus OAuth flows, token lifecycle and refresh, credential vaults, header auth, and least-privilege scope review on the integrations you build Nice to have Experience supporting a multi-region revenue team (NAM, LATAM, EMEA) and the data-residency questions that come with it Event and conference lead-capture tooling Notion and Slack API work Experience enabling non-technical teams on AI tooling - documentation, training, internal adoption The Work You've Done Before Come ready to walk us through two or three things you have built. The strongest candidates we have seen have shipped work like: An internal application a non-technical team now uses every day, where you owned it from data model to deployment A two-way integration between two systems that had no native connector, including how you handled auth, rate limits, and partial failure An agent or automation that replaced a recurring manual process, with a before-and-after number attached to it A data reconciliation between a CRM and a warehouse where the two disagreed and you determined which one was right Something you built, documented, and handed off - that someone else now runs without you We care more about what you shipped and what broke than about which tools were on the sticker. If your strongest work used a stack we did not list, tell us about it anyway. Why Incode? Mission with Meaning - Shape how billions of people prove identity - safely, simply, and ethically. Rocket-Ship Growth - Join at an inflection point where your strategies will compound in value for years. Elite Team & Backing - Work a truly global with top engineers, designers, and investors who share your ambition to dominate a category. Ownership & Autonomy - Operate like a founder with the resources of a unicorn. Global Impact - Every program you launch will reverberate across industries and continents. Ready to ignite the future of trust? Lead the narrative. Empower the field. Join Incode and turn innovation into unstoppable market momentum. Aspects of our Culture: High performance Freedom & responsibility Context, not control Highly aligned, loosely coupled Continuous Feedback Promotions & Development Learn more about Life at Incode ! Benefits & Perks: Flexible Working Hours & Workplace Open Vacation Policy Equal Opportunities: Incode is an equal opportunity employer, committed to creating a diverse and inclusive work environment. We take great pride in having an inclusive, diverse, and global team, and we are always looking for talented and passionate individuals from all backgrounds and walks of life. As part of our commitment to inclusion, we ensure that reasonable accommodations are available throughout the hiring process. If you require any accommodation due to a disability or specific need, please let our Talent Acquisition team know—we’ll do our best to support you. Applicant Data Privacy: We will only use your personal information concerning Incode’s application, recruitment, and hiring processes.

Location: CAN: Vancouver (333 Seymour St); CAN: Toronto (111 Richmond Street West) Workplace: Hybrid ABOUT THE ROLE For a small business, getting paid isn’t an abstract technical problem. It affects whether they can pay their people, buy supplies and take on their next opportunity. We connect money movement with financial context to help small businesses manage cash flow with greater confidence. Payments is one of Xero’s biggest areas of investment and growth. As a Lead Engineer on Payments Platform, you’ll join early-stage initiatives and make foundational architectural decisions for capabilities that power money movement across Xero and enable new product lines globally. Your work can span shared platform capabilities and customer-facing payment products, including global bill payments. You’ll stay hands-on in production code and proofs of concept while setting the technical direction other engineers and teams build on. It’s an opportunity to shape both the technology and the engineering practices of a growing team, with a direct connection to the problems small businesses face every day THE TECHNICAL CHALLENGES - A shared payments platform: Build orchestration, risk and fraud, and multi-provider capabilities that work across products and markets, helping teams launch new payment products faster without rebuilding the same foundations. - Global bill payments: Make a complex financial process feel simple for small businesses while keeping it accurate, secure and connected to the accounting record. - High throughput at scale: Design reliable, secure distributed services that remain dependable under real-world production constraints. - Customer impact alongside architectural progress: Selectively rebuild and enhance existing systems, delivering value quickly while moving toward a coherent long-term architecture. - AI capabilities customers can trust: Apply AI to challenging product problems while protecting customer trust, and bring the same discipline to how we evaluate and operate those capabilities. IMPACT - First 6 months: You understand the payments platform, its consumers and the customer problems it enables teams to solve. You’ve shipped production code and aligned the team on the architecture and roadmap for at least one core capability, such as onboarding, orchestration, risk and fraud, or multi-provider support. Through mentorship, technical reviews and practical improvements, you’ve helped elevate the team’s engineering capability. - First 12 months: Your architectural decisions are operating in production and helping new payment products launch faster. You’ve helped establish engineering standards and clear ownership for the Vancouver Payments team, and your work is reaching small businesses through faster, safer ways to pay and get paid. OWNERSHIP You’ll own the technical direction for your area of the payments platform, from design and proof of concept through production and on-call. You’ll lead architecture, API design and technology decisions for that area, with end-to-end accountability for reliability, security and operational excellence. You’ll work closely with engineering and cross-functional partners to make trade-offs explicit and turn direction into delivery. Your impact will come from both your own technical contributions and the capability you build in others. Because both the initiative and the Vancouver team are early in their development, you’ll also help shape engineering practices, quality standards and AI-assisted ways of working that make the team more effective over time. WHO YOU'LL WORK WITH - Lili Kan https://www.linkedin.com/in/lilixkan/, GM/VP, Payments Platform Engineering. Lili brings extensive experience building platforms and leading engineering teams in Silicon Valley. She previously led Payment Intelligence engineering at Stripe, building systems that protect payments from fraud. Before that, she spent four years at Uber, working across platform services, systems for operating self-driving fleets, and Driver Safety & Insurance Engineering. - Jing Feng https://www.linkedin.com/in/jingff, Head of Engineering, Payments Platform. Jing brings engineering leadership experience from Uber, Apple, LinkedIn and Yahoo. Most recently, she led Risk Product Engineering at Uber, building capabilities to detect and prevent fraud and risk. WHAT YOU BRING Must-have: - A proven track record of delivering highly available distributed backend systems and high-throughput services under real-world production constraints, with strong operational practices. - Experience building platforms or products from an early idea into production, then evolving them as adoption and complexity grow. - Deep understanding of system architecture, API design, and relational and non-relational databases, including the trade-offs between different approaches. - Proficiency in a modern backend stack, such as C#, Java, Go or C++, and experience with cloud-native platforms such as AWS. - Strong technical leadership: setting direction, mentoring engineers, fostering an inclusive culture and breaking complex problems into clear, actionable plans that lead to delivery. - A hands-on approach to production code, proofs of concept and technical deep dives, alongside advanced use of AI tools to improve development workflows, with appropriate judgment and validation. Nice to have: - Experience in payments, fintech or money movement, such as payment orchestration, risk and fraud, or multi-provider integrations. Experience from adjacent domains with demanding reliability, security or correctness requirements is valuable too. - Experience selectively rebuilding or modernizing established systems while continuing to deliver value to customers. - A strong track record of partnering with Product, Design and other cross-functional teams to turn complex business needs into resilient engineering solutions. HOW WE WORK We’re bold in our vision and pragmatic in execution, delivering useful improvements along the way rather than waiting for a large rewrite. We invest in AI to learn faster and focus effort on higher-value problems, while engineers stay accountable for what they ship. We use shared frameworks to avoid reinvention, leaving teams room to innovate. Engineers own their work, including quality, reliability, and on-call. Leaders set context and priorities, and engineers help shape the solutions. WHERE WE WORK We offer a hybrid model that blends the flexibility of working from home with the collaboration of the office, including designated boost days in our modern office spaces. This role is open to hybrid candidates in Vancouver, British Columbia, or San Mateo, California. We also welcome applications from candidates across Canada interested in relocating to Vancouver, and from remote candidates in Seattle, Washington. OUR HIRING PROCESS 1. TX phone screen (45 minutes): a conversation with your Talent Specialist about your background, motivations and the role. 2. Technical assessments: a coding assessment and a systems design assessment, run through an independent third-party provider and based on real-world scenarios. 3. Technical deep dive (45–60 minutes): with a Principal Engineer and the hiring team. You'll walk through a past project you led, covering how you thought about it, executed it and led through its complexity. 4. Values / Future Proof Xero (45 minutes): how you show up day to day, aligned with Xero's values and capabilities such as adaptability, ownership, customer thinking and AI fluency. 5. LEADership (45–60 minutes): real examples of how you lead, influence and deliver in ambiguous, fast-changing environments, assessed against Xero's leadership principles. COMPENSATION & TOTAL REWARDS At Xero, we value the impact and skills you bring to the team. We believe in a Total Package philosophy - ensuring your value is recognized through a holistic lens that includes base salary, performance incentives, and world-class benefits. The expected base salary range for this role is $186,000 - $236,000 CAD Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role. In addition to base pay, Xero’s roles are eligible for the following forms of variable compensation: - Variable Pay: Permanent employees are eligible to participate in our annual bonus and equity (RSU) programs. You may also be eligible for performance-based cash or equity (RSUs) incentives depending on your role level, and company performance. - Comprehensive Benefits: World-class health, wellness, and retirement programs. Xero Perks https://careers.xero.com/inside-xero/benefits-wellbeing/ including Wellbeing days, generous leave, and dedicated professional development budgets. This is a posting for an existing vacancy. Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A human recruiter reviews all candidates before any hiring action is taken.

Location: US: San Mateo (1875 South Grant Street); US: Washington Remote Worker Workplace: Hybrid ABOUT THE ROLE For a small business, getting paid isn’t an abstract technical problem. It affects whether they can pay their people, buy supplies and take on their next opportunity. We connect money movement with financial context to help small businesses manage cash flow with greater confidence. Payments is one of Xero’s biggest areas of investment and growth. As a Lead Engineer on Payments Platform, you’ll join early-stage initiatives and make foundational architectural decisions for capabilities that power money movement across Xero and enable new product lines globally. Your work can span shared platform capabilities and customer-facing payment products, including global bill payments. You’ll stay hands-on in production code and proofs of concept while setting the technical direction other engineers and teams build on. It’s an opportunity to shape both the technology and the engineering practices of a growing team, with a direct connection to the problems small businesses face every day THE TECHNICAL CHALLENGES - A shared payments platform: Build orchestration, risk and fraud, and multi-provider capabilities that work across products and markets, helping teams launch new payment products faster without rebuilding the same foundations. - Global bill payments: Make a complex financial process feel simple for small businesses while keeping it accurate, secure and connected to the accounting record. - High throughput at scale: Design reliable, secure distributed services that remain dependable under real-world production constraints. - Customer impact alongside architectural progress: Selectively rebuild and enhance existing systems, delivering value quickly while moving toward a coherent long-term architecture. - AI capabilities customers can trust: Apply AI to challenging product problems while protecting customer trust, and bring the same discipline to how we evaluate and operate those capabilities. IMPACT - First 6 months: You understand the payments platform, its consumers and the customer problems it enables teams to solve. You’ve shipped production code and aligned the team on the architecture and roadmap for at least one core capability, such as onboarding, orchestration, risk and fraud, or multi-provider support. Through mentorship, technical reviews and practical improvements, you’ve helped elevate the team’s engineering capability. - First 12 months: Your architectural decisions are operating in production and helping new payment products launch faster. You’ve helped establish engineering standards and clear ownership for the Vancouver Payments team, and your work is reaching small businesses through faster, safer ways to pay and get paid. OWNERSHIP You’ll own the technical direction for your area of the payments platform, from design and proof of concept through production and on-call. You’ll lead architecture, API design and technology decisions for that area, with end-to-end accountability for reliability, security and operational excellence. You’ll work closely with engineering and cross-functional partners to make trade-offs explicit and turn direction into delivery. Your impact will come from both your own technical contributions and the capability you build in others. Because both the initiative and the Vancouver team are early in their development, you’ll also help shape engineering practices, quality standards and AI-assisted ways of working that make the team more effective over time. WHO YOU'LL WORK WITH - Lili Kan https://www.linkedin.com/in/lilixkan/, GM/VP, Payments Platform Engineering. Lili brings extensive experience building platforms and leading engineering teams in Silicon Valley. She previously led Payment Intelligence engineering at Stripe, building systems that protect payments from fraud. Before that, she spent four years at Uber, working across platform services, systems for operating self-driving fleets, and Driver Safety & Insurance Engineering. - Jing Feng https://www.linkedin.com/in/jingff, Head of Engineering, Payments Platform. Jing brings engineering leadership experience from Uber, Apple, LinkedIn and Yahoo. Most recently, she led Risk Product Engineering at Uber, building capabilities to detect and prevent fraud and risk. WHAT YOU BRING Must-have: - A proven track record of delivering highly available distributed backend systems and high-throughput services under real-world production constraints, with strong operational practices. - Experience building platforms or products from an early idea into production, then evolving them as adoption and complexity grow. - Deep understanding of system architecture, API design, and relational and non-relational databases, including the trade-offs between different approaches. - Proficiency in a modern backend stack, such as C#, Java, Go or C++, and experience with cloud-native platforms such as AWS. - Strong technical leadership: setting direction, mentoring engineers, fostering an inclusive culture and breaking complex problems into clear, actionable plans that lead to delivery. - A hands-on approach to production code, proofs of concept and technical deep dives, alongside advanced use of AI tools to improve development workflows, with appropriate judgment and validation. Nice to have: - Experience in payments, fintech or money movement, such as payment orchestration, risk and fraud, or multi-provider integrations. Experience from adjacent domains with demanding reliability, security or correctness requirements is valuable too. - Experience selectively rebuilding or modernizing established systems while continuing to deliver value to customers. - A strong track record of partnering with Product, Design and other cross-functional teams to turn complex business needs into resilient engineering solutions. HOW WE WORK We’re bold in our vision and pragmatic in execution, delivering useful improvements along the way rather than waiting for a large rewrite. We invest in AI to learn faster and focus effort on higher-value problems, while engineers stay accountable for what they ship. We use shared frameworks to avoid reinvention, leaving teams room to innovate. Engineers own their work, including quality, reliability, and on-call. Leaders set context and priorities, and engineers help shape the solutions. WHERE WE WORK We offer a hybrid model that blends the flexibility of working from home with the collaboration of the office, including designated boost days in our modern office spaces. This role is open to hybrid candidates in Vancouver, British Columbia, or San Mateo, California. We also welcome applications from candidates across Canada interested in relocating to Vancouver, and from remote candidates in Seattle, Washington. OUR HIRING PROCESS 1. TX phone screen (45 minutes): a conversation with your Talent Specialist about your background, motivations and the role. 2. Technical assessments: a coding assessment and a systems design assessment, run through an independent third-party provider and based on real-world scenarios. 3. Technical deep dive (45–60 minutes): with a Principal Engineer and the hiring team. You'll walk through a past project you led, covering how you thought about it, executed it and led through its complexity. 4. Values / Future Proof Xero (45 minutes): how you show up day to day, aligned with Xero's values and capabilities such as adaptability, ownership, customer thinking and AI fluency. 5. LEADership (45–60 minutes): real examples of how you lead, influence and deliver in ambiguous, fast-changing environments, assessed against Xero's leadership principles.   COMPENSATION & TOTAL REWARDS At Xero, we value the impact and skills you bring to the team. We don’t just hire for a role; we invest in people. We believe in a Total Package philosophy - which means your value isn't just a single number on a paycheque. While base salary is a core component, we look at your compensation through a holistic lens that includes equity, performance incentives, and world-class benefits. The expected base salary range for this role in: - Washington, WA & San Mateo, CA: $206,000 - $260,000 USD Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role. In addition to base pay, Xero’s roles are eligible for the following forms of variable compensation: - Variable Pay: Permanent employees are eligible to participate in our annual bonus and equity (RSU) programs. You may also be eligible for performance-based cash or equity (RSUs) incentives depending on your role level, and company performance. - Comprehensive Benefits: Medical, dental, vision, 401(k) match, and 21 days PTO, 10 days of Wellbeing leave, 5 days of Xtra Leave, 1 volunteer day, 12 paid holidays, paid parental leave. Further information included on our Xero Perks https://careers.xero.com/inside-xero/benefits-wellbeing/ page Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A human recruiter reviews all candidates before any hiring action is taken.

Location: Sweden (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. This is a remote position. We are looking for candidates in the UK, Ireland, Spain, Germany or Sweden. Senior Software Engineer - Security Assurances We are looking for a Senior Software Engineer, Security Assurance to join our GRC engineering team. We are building a security system that’s automated at scale, rigorously data-driven, and built from the ground up with defense-in-depth and self-healing in mind. We support a highly autonomous, remote-first, cloud-native organization. We are a technical team that can build any tool we need, while knowing when to buy to improve velocity. To support our growth and ambitious vision, we embrace agile principles and values, share openly, apply context-driven security mechanisms, default to action, and have an OSS-first mindset. We are a 100% remote company. We believe in high-velocity but sustainable expectations and timeframes, giving people the room to do great work. The Opportunity: You will work to build out our security observability, compliance, and control management systems and tools. You will develop services and tools to proactively defend our systems, provide visibility to our security state, and give engineers and stakeholders guardrails and paved roads to behave securely. You will collaborate across your team, the security department, and wider Grafana to write and deploy security policies across all of our SDLC, applications, and infrastructure. This is a very technical, hands-on keyboard software engineering, so development experience is critical. You will ideally have some experience building, implementing and improving the maturity of security programs in Cloud-based SaaS organizations. Knowledge of security standards and frameworks (ISO, FedRAMP, PCI-DSS, GDPR, etc) is useful, but the disposition to quickly learn new things is more important than rote knowledge. You will work alongside other security engineers, full-stack developers, and customer-facing teams. Experience guiding and negotiating with peers, stakeholders, customers, and auditors is a plus. What You’ll Be Doing: Be a technical contributor on our GRC team covering a range of areas, including certifications, application, build, cloud, and supply chain security, and internal security tooling development Develop, implement, and maintain highly automated security assurance programs to ensure compliance with organizational and regulatory requirements (e.g., ISO 27001, SOC 2, GDPR, NIST, PCI-DSS, TISAX, whatever else our customers eventually throw at us) Develop systems, automations, and methods of security observability to push the GRC engineering organization beyond just meeting certification requirements Deploy security and compliance checks in an employee-enabling way (guardrails and paved roads) in their daily workflows and build pipelines Collaborate with cross-functional teams to integrate security controls into the software development lifecycle and operational processes. Respond to customer security issues, security alerts, and potential incidents What Makes You a Great Fit: Experience developing in a production environment with at least one programming language. We primarily use Go, TypeScript, and Python but most languages translate well. You will take a code screen and be expected to discuss programming principles such as algorithms, data structures, and optimization Knowledge of using and securing containerized, cloud-native applications, ideally with Kubernetes. Experience with multiple cloud providers is a strong plus Experience in automating security and compliance processes using tools, scripts, and frameworks while enabling developer and employee workflows Strong interpersonal skills, as this position will require communication with peers, stakeholders, auditors, and customers Understanding of industry-recognized security frameworks, standards, and certifications, such as ISO 27001, SOC 2, PCI DSS, NIST, or GDPR, and how to apply them without added operational burden. You can gain this by reading the standards documents and audit guidance A degree in Computer Science, Information Security, or related field (or equivalent experience) Bonus Points For: Working knowledge of Grafana Labs OSS projects and products. Experience in using observability tooling to solve security problems. Experience working with OSS communities Experience in using technical automations to prove infrastructure compliance Experience securing large-scale distributed systems running in public clouds In Sweden, the base compensation range for this role is SEK 775,444 - SEK 930,533 . 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: Germany (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. This is a remote position. We are looking for candidates in the UK, Ireland, Spain, Germany or Sweden. Senior Software Engineer - Security Assurances We are looking for a Senior Software Engineer, Security Assurance to join our GRC engineering team. We are building a security system that’s automated at scale, rigorously data-driven, and built from the ground up with defense-in-depth and self-healing in mind. We support a highly autonomous, remote-first, cloud-native organization. We are a technical team that can build any tool we need, while knowing when to buy to improve velocity. To support our growth and ambitious vision, we embrace agile principles and values, share openly, apply context-driven security mechanisms, default to action, and have an OSS-first mindset. We are a 100% remote company. We believe in high-velocity but sustainable expectations and timeframes, giving people the room to do great work. The Opportunity: You will work to build out our security observability, compliance, and control management systems and tools. You will develop services and tools to proactively defend our systems, provide visibility to our security state, and give engineers and stakeholders guardrails and paved roads to behave securely. You will collaborate across your team, the security department, and wider Grafana to write and deploy security policies across all of our SDLC, applications, and infrastructure. This is a very technical, hands-on keyboard software engineering, so development experience is critical. You will ideally have some experience building, implementing and improving the maturity of security programs in Cloud-based SaaS organizations. Knowledge of security standards and frameworks (ISO, FedRAMP, PCI-DSS, GDPR, etc) is useful, but the disposition to quickly learn new things is more important than rote knowledge. You will work alongside other security engineers, full-stack developers, and customer-facing teams. Experience guiding and negotiating with peers, stakeholders, customers, and auditors is a plus. What You’ll Be Doing: Be a technical contributor on our GRC team covering a range of areas, including certifications, application, build, cloud, and supply chain security, and internal security tooling development Develop, implement, and maintain highly automated security assurance programs to ensure compliance with organizational and regulatory requirements (e.g., ISO 27001, SOC 2, GDPR, NIST, PCI-DSS, TISAX, whatever else our customers eventually throw at us) Develop systems, automations, and methods of security observability to push the GRC engineering organization beyond just meeting certification requirements Deploy security and compliance checks in an employee-enabling way (guardrails and paved roads) in their daily workflows and build pipelines Collaborate with cross-functional teams to integrate security controls into the software development lifecycle and operational processes. Respond to customer security issues, security alerts, and potential incidents What Makes You a Great Fit: Experience developing in a production environment with at least one programming language. We primarily use Go, TypeScript, and Python but most languages translate well. You will take a code screen and be expected to discuss programming principles such as algorithms, data structures, and optimization Knowledge of using and securing containerized, cloud-native applications, ideally with Kubernetes. Experience with multiple cloud providers is a strong plus Experience in automating security and compliance processes using tools, scripts, and frameworks while enabling developer and employee workflows Strong interpersonal skills, as this position will require communication with peers, stakeholders, auditors, and customers Understanding of industry-recognized security frameworks, standards, and certifications, such as ISO 27001, SOC 2, PCI DSS, NIST, or GDPR, and how to apply them without added operational burden. You can gain this by reading the standards documents and audit guidance A degree in Computer Science, Information Security, or related field (or equivalent experience) Bonus Points For: Working knowledge of Grafana Labs OSS projects and products. Experience in using observability tooling to solve security problems. Experience working with OSS communities Experience in using technical automations to prove infrastructure compliance Experience securing large-scale distributed systems running in public clouds In Germany, the base compensation range for this role is € 97,034 - €116,441 . 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: Spain (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. This is a remote position. We are looking for candidates in the UK, Ireland, Spain, Germany or Sweden. Senior Software Engineer - Security Assurances We are looking for a Senior Software Engineer, Security Assurance to join our GRC engineering team. We are building a security system that’s automated at scale, rigorously data-driven, and built from the ground up with defense-in-depth and self-healing in mind. We support a highly autonomous, remote-first, cloud-native organization. We are a technical team that can build any tool we need, while knowing when to buy to improve velocity. To support our growth and ambitious vision, we embrace agile principles and values, share openly, apply context-driven security mechanisms, default to action, and have an OSS-first mindset. We are a 100% remote company. We believe in high-velocity but sustainable expectations and timeframes, giving people the room to do great work. The Opportunity: You will work to build out our security observability, compliance, and control management systems and tools. You will develop services and tools to proactively defend our systems, provide visibility to our security state, and give engineers and stakeholders guardrails and paved roads to behave securely. You will collaborate across your team, the security department, and wider Grafana to write and deploy security policies across all of our SDLC, applications, and infrastructure. This is a very technical, hands-on keyboard software engineering, so development experience is critical. You will ideally have some experience building, implementing and improving the maturity of security programs in Cloud-based SaaS organizations. Knowledge of security standards and frameworks (ISO, FedRAMP, PCI-DSS, GDPR, etc) is useful, but the disposition to quickly learn new things is more important than rote knowledge. You will work alongside other security engineers, full-stack developers, and customer-facing teams. Experience guiding and negotiating with peers, stakeholders, customers, and auditors is a plus. What You’ll Be Doing: Be a technical contributor on our GRC team covering a range of areas, including certifications, application, build, cloud, and supply chain security, and internal security tooling development Develop, implement, and maintain highly automated security assurance programs to ensure compliance with organizational and regulatory requirements (e.g., ISO 27001, SOC 2, GDPR, NIST, PCI-DSS, TISAX, whatever else our customers eventually throw at us) Develop systems, automations, and methods of security observability to push the GRC engineering organization beyond just meeting certification requirements Deploy security and compliance checks in an employee-enabling way (guardrails and paved roads) in their daily workflows and build pipelines Collaborate with cross-functional teams to integrate security controls into the software development lifecycle and operational processes. Respond to customer security issues, security alerts, and potential incidents What Makes You a Great Fit: Experience developing in a production environment with at least one programming language. We primarily use Go, TypeScript, and Python but most languages translate well. You will take a code screen and be expected to discuss programming principles such as algorithms, data structures, and optimization Knowledge of using and securing containerized, cloud-native applications, ideally with Kubernetes. Experience with multiple cloud providers is a strong plus Experience in automating security and compliance processes using tools, scripts, and frameworks while enabling developer and employee workflows Strong interpersonal skills, as this position will require communication with peers, stakeholders, auditors, and customers Understanding of industry-recognized security frameworks, standards, and certifications, such as ISO 27001, SOC 2, PCI DSS, NIST, or GDPR, and how to apply them without added operational burden. You can gain this by reading the standards documents and audit guidance A degree in Computer Science, Information Security, or related field (or equivalent experience) Bonus Points For: Working knowledge of Grafana Labs OSS projects and products. Experience in using observability tooling to solve security problems. Experience working with OSS communities Experience in using technical automations to prove infrastructure compliance Experience securing large-scale distributed systems running in public clouds In Ireland, the base compensation range for this role is € 82,988 - €99,586 . 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: Republic of Ireland (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. This is a remote position. We are looking for candidates in the UK, Ireland, Spain, Germany or Sweden. Senior Software Engineer - Security Assurances We are looking for a Senior Software Engineer, Security Assurance to join our GRC engineering team. We are building a security system that’s automated at scale, rigorously data-driven, and built from the ground up with defense-in-depth and self-healing in mind. We support a highly autonomous, remote-first, cloud-native organization. We are a technical team that can build any tool we need, while knowing when to buy to improve velocity. To support our growth and ambitious vision, we embrace agile principles and values, share openly, apply context-driven security mechanisms, default to action, and have an OSS-first mindset. We are a 100% remote company. We believe in high-velocity but sustainable expectations and timeframes, giving people the room to do great work. The Opportunity: You will work to build out our security observability, compliance, and control management systems and tools. You will develop services and tools to proactively defend our systems, provide visibility to our security state, and give engineers and stakeholders guardrails and paved roads to behave securely. You will collaborate across your team, the security department, and wider Grafana to write and deploy security policies across all of our SDLC, applications, and infrastructure. This is a very technical, hands-on keyboard software engineering, so development experience is critical. You will ideally have some experience building, implementing and improving the maturity of security programs in Cloud-based SaaS organizations. Knowledge of security standards and frameworks (ISO, FedRAMP, PCI-DSS, GDPR, etc) is useful, but the disposition to quickly learn new things is more important than rote knowledge. You will work alongside other security engineers, full-stack developers, and customer-facing teams. Experience guiding and negotiating with peers, stakeholders, customers, and auditors is a plus. What You’ll Be Doing: Be a technical contributor on our GRC team covering a range of areas, including certifications, application, build, cloud, and supply chain security, and internal security tooling development Develop, implement, and maintain highly automated security assurance programs to ensure compliance with organizational and regulatory requirements (e.g., ISO 27001, SOC 2, GDPR, NIST, PCI-DSS, TISAX, whatever else our customers eventually throw at us) Develop systems, automations, and methods of security observability to push the GRC engineering organization beyond just meeting certification requirements Deploy security and compliance checks in an employee-enabling way (guardrails and paved roads) in their daily workflows and build pipelines Collaborate with cross-functional teams to integrate security controls into the software development lifecycle and operational processes. Respond to customer security issues, security alerts, and potential incidents What Makes You a Great Fit: Experience developing in a production environment with at least one programming language. We primarily use Go, TypeScript, and Python but most languages translate well. You will take a code screen and be expected to discuss programming principles such as algorithms, data structures, and optimization Knowledge of using and securing containerized, cloud-native applications, ideally with Kubernetes. Experience with multiple cloud providers is a strong plus Experience in automating security and compliance processes using tools, scripts, and frameworks while enabling developer and employee workflows Strong interpersonal skills, as this position will require communication with peers, stakeholders, auditors, and customers Understanding of industry-recognized security frameworks, standards, and certifications, such as ISO 27001, SOC 2, PCI DSS, NIST, or GDPR, and how to apply them without added operational burden. You can gain this by reading the standards documents and audit guidance A degree in Computer Science, Information Security, or related field (or equivalent experience) Bonus Points For: Working knowledge of Grafana Labs OSS projects and products. Experience in using observability tooling to solve security problems. Experience working with OSS communities Experience in using technical automations to prove infrastructure compliance Experience securing large-scale distributed systems running in public clouds In Ireland, the base compensation range for this role is € 104,000 - €124,800. 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: United Kingdom (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. This is a remote position. We are looking for candidates in the UK, Ireland, Spain, Germany or Sweden. Senior Software Engineer - Security Assurances We are looking for a Senior Software Engineer, Security Assurance to join our GRC engineering team. We are building a security system that’s automated at scale, rigorously data-driven, and built from the ground up with defense-in-depth and self-healing in mind. We support a highly autonomous, remote-first, cloud-native organization. We are a technical team that can build any tool we need, while knowing when to buy to improve velocity. To support our growth and ambitious vision, we embrace agile principles and values, share openly, apply context-driven security mechanisms, default to action, and have an OSS-first mindset. We are a 100% remote company. We believe in high-velocity but sustainable expectations and timeframes, giving people the room to do great work. The Opportunity: You will work to build out our security observability, compliance, and control management systems and tools. You will develop services and tools to proactively defend our systems, provide visibility to our security state, and give engineers and stakeholders guardrails and paved roads to behave securely. You will collaborate across your team, the security department, and wider Grafana to write and deploy security policies across all of our SDLC, applications, and infrastructure. This is a very technical, hands-on keyboard software engineering, so development experience is critical. You will ideally have some experience building, implementing and improving the maturity of security programs in Cloud-based SaaS organizations. Knowledge of security standards and frameworks (ISO, FedRAMP, PCI-DSS, GDPR, etc) is useful, but the disposition to quickly learn new things is more important than rote knowledge. You will work alongside other security engineers, full-stack developers, and customer-facing teams. Experience guiding and negotiating with peers, stakeholders, customers, and auditors is a plus. What You’ll Be Doing: Be a technical contributor on our GRC team covering a range of areas, including certifications, application, build, cloud, and supply chain security, and internal security tooling development Develop, implement, and maintain highly automated security assurance programs to ensure compliance with organizational and regulatory requirements (e.g., ISO 27001, SOC 2, GDPR, NIST, PCI-DSS, TISAX, whatever else our customers eventually throw at us) Develop systems, automations, and methods of security observability to push the GRC engineering organization beyond just meeting certification requirements Deploy security and compliance checks in an employee-enabling way (guardrails and paved roads) in their daily workflows and build pipelines Collaborate with cross-functional teams to integrate security controls into the software development lifecycle and operational processes. Respond to customer security issues, security alerts, and potential incidents What Makes You a Great Fit: Experience developing in a production environment with at least one programming language. We primarily use Go, TypeScript, and Python but most languages translate well. You will take a code screen and be expected to discuss programming principles such as algorithms, data structures, and optimization Knowledge of using and securing containerized, cloud-native applications, ideally with Kubernetes. Experience with multiple cloud providers is a strong plus Experience in automating security and compliance processes using tools, scripts, and frameworks while enabling developer and employee workflows Strong interpersonal skills, as this position will require communication with peers, stakeholders, auditors, and customers Understanding of industry-recognized security frameworks, standards, and certifications, such as ISO 27001, SOC 2, PCI DSS, NIST, or GDPR, and how to apply them without added operational burden. You can gain this by reading the standards documents and audit guidance A degree in Computer Science, Information Security, or related field (or equivalent experience) Bonus Points For: Working knowledge of Grafana Labs OSS projects and products. Experience in using observability tooling to solve security problems. Experience working with OSS communities Experience in using technical automations to prove infrastructure compliance Experience securing large-scale distributed systems running in public clouds In the UK, the base compensation range for this role is £ 91,755 - £110,106. 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 .

Чем предстоит заниматься: Проектировать, поддерживать и оптимизировать ETL/ELT-процессы в Airflow: регулярные инкрементальные загрузки, backfill, cleanup, full-refresh, обработка исторических данных. Нам важно: Уверенный SQL и опыт оптимизации запросов на больших объемах данных.

Responsibilities Provide advanced technical support to customers via email, resolving complex technical issues related to our product and services. Troubleshoot reported issues, identifying root causes and implementing effective solutions.

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. About the role We are looking for a Principal Engineer to help define and drive the next generation of GitLab’s Fulfillment platform. Fulfillment ensures that customers receive the right product access and can manage seats, usage, and spend across GitLab.com, Self-Managed, Dedicated, and other deployment models. Its core areas include entitlements, licensing and provisioning, seat management, usage visibility, and cost management. The existing platform has served GitLab for approximately a decade and now faces significant challenges in scale, maintainability, and architectural complexity. This role will help us understand where we are today and define how Fulfillment should work over the next ten years. This is a senior player-coach role. You will set architectural direction across the Fulfillment portfolio, make critical technical decisions, and work directly with teams to execute the resulting modernization strategy. You will influence across organizational boundaries while remaining hands-on in design, implementation, technical problem-solving, and mentorship. What you’ll do Define and communicate the long-term architecture and technical strategy for Fulfillment, including target state, principles, priorities, and migration sequencing. Assess the current platform and address its most important risks across scale, reliability, performance, data correctness, operability, and maintainability. Drive architectural decisions across entitlements, provisioning, seat management, usage visibility, and cost management. Establish clear service boundaries, data ownership, contracts, and integration patterns across Fulfillment, Monetization, billing, Salesforce, and product services. Lead an incremental modernization program that improves the existing platform while continuing to deliver customer and business value. Partner with Engineering Managers, Product Management, and cross-functional stakeholders to turn architectural direction into executable roadmaps and shipped outcomes. Be hands-on with the hardest problems, including prototypes, critical implementations, migrations, performance improvements, reliability work, and incident learning. Champion practical artificial intelligence (AI) adoption across Fulfillment, including agentic coding and AI-assisted engineering workflows, and help teams apply these tools responsibly and effectively. Mentor and coach Senior and Staff Engineers and raise the quality of technical decision-making across the organization. What you’ll bring 10+ years of professional software engineering experience, including substantial experience at Staff, Principal, or equivalent technical leadership level. Direct experience building, operating, or modernizing Fulfillment systems, including areas such as entitlements, licensing, provisioning, subscription lifecycle, seat management, usage metering, usage billing, or cost controls. A track record of setting technical direction across multiple teams and turning architecture into reliable, operated systems. Deep experience with distributed systems, scalability, availability, performance, observability, data integrity, and failure-mode analysis. Comfort working in one or more of Ruby, Go, and Python, with the ability to navigate both Backend and Frontend in a polyglot system. Practical experience using artificial intelligence in software engineering, including agentic coding or AI-assisted development workflows. Demonstrated success modernizing mature or degraded platforms without relying on a risky “big bang” rewrite. Experience designing systems that span multiple deployment models, such as software as a service, Self-Managed, Dedicated, or disconnected environments. Strong product and business judgment, with the ability to connect technical investment to customer experience, revenue, operational efficiency, risk reduction, and time to market. Excellent written communication and the ability to influence senior stakeholders across teams without formal authority. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $223,000 — $317,000 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

— IT-поддержка сотрудников (Windows / macOS). — администрирование Google Workspace, Entra ID / Active Directory.

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Production Engineering embeds with product and platform teams across Figma to help them deliver reliable products faster. Our work spans the stack, from browser performance to backend services and infrastructure. We build tools and practices that reduce operational complexity, clarify important signals, and leave teams confident operating their systems. We value curiosity, thoughtful engineering, and practical progress on problems that matter to the business. As Engineering Manager, you’ll own the team’s strategy, priorities, delivery, and people development. You’ll work with product and platform leaders to decide where the team can make the biggest difference, balancing immediate production needs with lasting improvements. You’ll use your technical judgment to challenge assumptions and assess risk while giving engineers room to lead. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Coach and develop production engineers, including experienced technical leaders, through direct feedback and opportunities to shape technical strategy and lead work across teams Set priorities and guide delivery for the team’s embedded work with Figma’s product and platform organizations. Align partners on outcomes, responsibilities, and tradeoffs, and resolve competing demands Guide improvements to observability, incident response, and production tooling that reduce recurring toil, surface actionable signals, and make services easier for product teams to understand and operate Partner with engineers on long-term technical direction, design, and production reviews, supporting their ownership of technical decisions and holding the team accountable for delivery Anticipate reliability and scaling challenges alongside partner-team leaders, and prioritize improvements that support upcoming product goals Turn lessons from work with product teams and production incidents into reusable tools and practices that strengthen partner teams’ ownership and make on-call more sustainable We’d love to hear from you if you have: Experience managing engineering teams and developing senior engineers, helping them grow their technical judgment, leadership, and impact Experience building and operating complex software systems at scale, with the technical judgment to guide decisions across the stack and learn unfamiliar systems Experience leading complex initiatives across engineering teams and cross-functional partners, earning trust beyond your reporting line, resolving competing priorities, and delivering shared business goals Sound judgment about reliability, security, and sustainable operations, with clear communication and respect for engineers’ technical ownership While it’s not required, it’s an added plus if you also have: Experience building shared reliability platforms, observability or distributed tracing systems, or tooling that reduces toil across multiple engineering teams Familiarity with traffic management, service discovery or service meshes, container orchestration, infrastructure as code, or capacity and performance engineering Experience improving incident response processes and reducing on-call burden At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $258,000 — $376,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: Paris; London Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ABOUT THE JOB Mistral AI is seeking Applied Scientists and Research Engineers focused on robotics. You will design, train, and deploy SOTA robotics models (VLM, VLA models for navigation and manipulation) and apply them to diverse use cases. You'll work cross-functionally with internal and external science, engineering, and product teams to deliver high-impact AI solutions. WHAT YOU WILL DO - Run pre-training, post-training and deploy state of the art models on large clusters. - Generate and curate datasets (image-text, video-text), and build evaluators/benchmarks for perception, navigation and manipulation tasks. - Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment. - Collaborate with cross-functional teams to tackle complex use cases. - Manage research projects and communications with client research teams. ABOUT YOU - Fluent in English with excellent communication skills. - Expert with PyTorch or JAX. - Experience with Vision Language Models (VLM), Vision-Language-Action (VLA) models, perception, navigation and manipulation, simulation tools (e.g. Isaac SIM). - Clean, readable, high-performance Python code. - Doesn't need roadmaps. Ships. - Low-ego, collaborative and eager to learn. - Track record of success through personal projects, professional projects or academia. NICE TO HAVE - PhD / Master in a relevant field (Robotics, Machine Learning). - Research experience in robotics navigation, perception, manipulation. - Contributions to a large open-source or industry codebase. - Publications in top academic journals or conferences. - Enjoys improving existing code: typing, tests, CI pipelines. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: United States Workplace: Remote As an Engineering Manager on Coder’s Agentic Engineering team, you’ll lead engineers building and evolving the systems behind our agentic development experience. You’ll help make agents more capable, reliable, and useful across real development environments. You’ll guide technical direction, grow the team, and keep execution sharp. You’ll work closely with Engineering, Product, and Design across the agent harness, integrations, and developer workflows. This position is required to be in the US Eastern Time Zone.   WHAT YOU’LL DO HERE - Lead and grow a team within our Agentic Engineering organization. - Set technical direction across the agent harness, integrations, and workflows. - Stay close to the code and contribute to architecture and implementation decisions. - Evolve agent execution, tool use, context management, streaming, and long-running workflows. - Extend our provider-agnostic architecture as models and capabilities change. - Partner with Product and Design to turn agent capabilities into useful developer experiences. - Improve reliability, performance, and operability across agentic systems. - Coach engineers, raise the technical bar, and create clarity around priorities and tradeoffs.   WHAT WE’RE LOOKING FOR - Experience managing and growing software engineering teams. - Strong hands-on engineering experience with Go. - Experience with React and TypeScript. - Hands-on experience building systems around LLMs and agentic workflows. - Experience with model APIs, tool calling, context management, or agent loops. - Strong distributed systems knowledge. - Working knowledge of AWS. - Strong technical judgment and comfort working through ambiguity. - A track record of helping engineers grow while maintaining a high execution bar.   OUR TECH STACK - Backend: Go, Postgres - Frontend: TypeScript, React - Infrastructure: AWS, Kubernetes - Observability: Prometheus, Grafana - CI/CD: GitHub Actions   BONUS TACOS IF YOU HAVE - (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!) - Experience building coding agents, developer tools, or cloud development environments. - Experience with MCP, agent tools, or multi-agent systems. - Experience with remote execution, sandboxing, or isolated compute. - Experience building abstractions across multiple model providers. - Deep experience with AWS, Kubernetes, Docker, or Linux. - Open-source contributions or experience working directly with customers. Coder’s agentic architecture is provider-agnostic. The foundation is built; this team is focused on making it more capable, reliable, and extensible as the space evolves. 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: 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: As a Developer Platform https://www.notion.com/product/dev engineer, you will directly contribute to the foundational pieces that make Notion extensible and connected. You will build tools, APIs, and platform experiences that help customers connect Notion to the world — bringing their apps, data, and workflows into one workspace. Your work will make it easier for developers, admins, and builders to create reliable integrations and automations on top of Notion. You will be a key player in building the robust technical foundation that allows Notion to achieve the connected workspace vision. Your work will include both internal platform contributions that accelerate other Notion engineering teams and end-user-facing functionality that enables toolmaking ubiquity. You will be presented with challenging technical problems, as Notion’s product needs are complex. You’ll play a key role in identifying and executing against technical investments that ensure the long-term quality, reliability, and performance of Notion’s platform as we scale. 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: - You’ll work with a team of engineers and cross-functional partners across product, design, data science, and user research to define a product strategy and drive execution through conception, research, implementation, and maintenance. - You’ll evolve Developer Platform capabilities across APIs, MCP tools, and integration infrastructure that help customers automate workflows, customize Notion, and connect Notion to the tools and data they use every day. - You’ll contribute to the overall performance, reliability, and robustness of the Notion product, ensuring it scales elegantly across many dimensions. - You’ll partner with engineering leaders to identify and execute against high-leverage technical investments that ensure the long-term flexibility and sustainability of our core systems. SKILLS YOU'LL NEED TO BRING: - 7+ years of experience shipping production software, with a strong track record of owning features end-to-end - Fluency with TypeScript across both backend and frontend - Strong product instincts: you can take a vague problem, propose a solid technical approach, and know when to cut scope - You don’t need to be an AI expert, but you’re curious and willing to adopt AI tools to work smarter and deliver better results NICE TO HAVES: - Experience building developer tools like APIs and SDKs - Experience driving teams toward shared goals and balancing business priorities with individuals’ strengths, areas of interest, and career development goals - Familiarity with AI/agent tooling, evals, or LLM-driven product experiences 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 $179,000 – $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.