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Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU’LL DO We're hiring a Product Counsel to be a core member of Sierra's growing legal team. This role will report to our Associate General Counsel, Product and Privacy, as part of our growing product legal function. We are looking for someone who has deep expertise in product counseling for AI or other emerging technologies. You will be a legal partner for Sierra’s product and engineering teams, and help shape how our products go to market responsibly, ensuring privacy, compliance, and risk considerations are embedded throughout the product lifecycle. You will thrive in dynamic environments, enjoy tackling challenges beyond your comfort zone, and be excited to contribute across the business. In return, we'll provide the support and opportunities you need to grow and excel as a lawyer. You'll be part of a legal team that is highly respected within the company — committed to excellence, collaboration, and making a meaningful impact. Product - End-to-end responsibility for product legal support: counsel Product and Engineering teams from concept through launch across Sierra's agent platform and new products. - Work closely with Engineering teams to integrate compliance and privacy-by-design principles and AI transparency measures into product development. - Advise the customer-facing Agent Development teams on legal requirements of product features, including consumer protection, telecommunications (e.g., voice and messaging), and industry-specific requirements for regulated customers. - Develop scalable product review processes, launch checklists, and self-serve guidance that let product teams move quickly. Regulatory (with focus on AI) - Advise on emerging AI-specific regulations and their applicability to Sierra's products. - Partner with the privacy team to implement AI governance policies and frameworks to ensure responsible AI deployment. - Monitor legal developments affecting AI products, advising product leadership on risks, trends, and design implications. WHAT YOU’LL BRING - 4+ years of legal experience, with a combination of large international law firm and in-house experience at a tech company. - Experience advising product and engineering teams on new product development, ideally involving AI/ML, communications, or platform products. - Working knowledge of the legal domains that touch product development, including privacy (e.g., GDPR, CCPA), AI regulatory frameworks (e.g., EU AI Act, NIST AI Risk Management Framework), consumer protection, and IP. - Ability to partner with technical teams to understand all aspects of Sierra's product offering. - Strong analytical skills and the ability to balance legal risks and business objectives in a fast-moving environment. - Strong verbal and written communication skills and the ability to partner with both legal and non-legal stakeholders. - A strong work ethic with an eye for detail. You will strive for perfection, and expect that of others. - Be a team player first and foremost. Sierra is a unique place to work, with a strong sense of togetherness, and the legal team is no exception. You will look out for your colleagues, be accustomed to sharing and helping the team succeed. EVEN BETTER… - Experience with voice/telephony products and related regulatory regimes (e.g., TCPA, state call recording laws). - Experience counseling on products sold into regulated industries (healthcare, financial services). - Familiarity with machine learning models and their associated risks. - Previous experience developing trust and safety or responsible AI programs. - Startup experience and comfort with rapid iteration and ambiguity. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: Salt Lake City, UT Workplace: hybrid At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. About the Role:   As an Intermediate Site Reliability Engineer, you will bridge the gap between development and operations, ensuring our systems are highly reliable, scalable, and efficient. You will be responsible for maintaining the uptime and performance of our systems, applications, automating processes, and implementing best practices in site reliability and system administration. You’ll collaborate closely with cross-functional teams to optimize system architecture and drive operational excellence.  You’ll have complete autonomy in making infrastructure performance enhancements to ensure we have the most stable and secure environment possible for our world class healthcare solution.      Key Responsibilities:  · Experience administering Linux environments -- preferably Ubuntu or other Debian-based distros  · Experience in setting up servers and services in both On Premise and Cloud infrastructure (Azure and AWS)  · Infrastructure As Code using Terraform and Ansible  · Experience with Log Aggregation Tools, specifically Splunk in both an administrative and user capacity  · Experience with additional Observability Infrastructure Tools :Nagios, Grafana, DataDog  · VMware administration and maintenance enhancements  · iSCSI Storage Administration in a HPE Nimble environment is a plus  · Dell Hardware Experience in an OnPrem environment  · Azure/AWS Infrastructure provisioning  Your Key Strengths:  · Expertise in Linux Environments: Deep understanding of Debian based Linux distributions and their configurations, file systems, and management.  · Scripting and Automation Skills: Proficiency in scripting languages like Bash, Python, or Perl to automate tasks, streamline processes, and improve system efficiency.  · Networking Knowledge: Strong grasp of networking concepts, including TCP/IP, firewalls, DNS, and routing, to effectively manage and troubleshoot network-related issues.  · Security Best Practices: Knowledge of Linux security protocols and practices, including user permissions, access controls, firewalls, and intrusion detection systems, to ensure system integrity and data protection.  · System Monitoring and Performance Tuning: Ability to use monitoring tools (like Nagios,JSM or Prometheus) to analyze system performance, identify bottlenecks, and optimize resources for better efficiency.  · Disaster Recovery and Backup Solutions: Expertise in implementing and managing backup and recovery strategies to protect data and ensure business continuity in case of failures.  · Collaboration and Communication Skills: Strong ability to work collaboratively with development teams, stakeholders, and other IT personnel, effectively communicating complex technical concepts to non-technical audiences.  Bonus Skills:  · Kubernetes  · Kafka  · Identity Access Management in a Service Provider role  · Windows Active Directory Administration PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The USD base salary range for this position is $138,000-154,000 (not overtime eligible) + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role.

Location: Remote - US About LaunchDarkly Engineering LaunchDarkly helps engineering organizations ship software and AI with speed, safety, and control. Our platform gives teams the confidence to release gradually, target experiences to the right audiences, learn through experimentation, understand what is happening in production, and respond quickly when risk appears. Our engineers build the systems, services, SDKs, developer tools, cloud infrastructure, and product experiences that make this possible. The work spans high-scale distributed systems, reliable data and event pipelines, intuitive enterprise workflows, and AI-powered capabilities that help teams manage the next generation of software delivery. LaunchDarkly’s SDKs are used in systems that perform trillions of feature flag evaluations each day, giving our engineering work a direct connection to the reliability and customer experience of software around the world. As the company grows, we are expanding beyond traditional feature management into experimentation, observability, and AgentControl—helping customers control more of the software and AI lifecycle. That creates an unusually broad set of technical challenges, visible customer impact, and room for engineers to shape what comes next. We believe in the power of teams. We work with humility, openness, curiosity, and care; we value clear communication, thoughtful technical judgment, inclusive collaboration, and a strong sense of ownership. We encourage people to apply even when they do not meet every qualification listed below. We are interested in the experience, perspective, and potential you would bring to the role. About the Job As a Software Engineer on LaunchDarkly’s SDK team, you will build the primary touchpoint that our customers interact with on a daily basis. You’ll work with multiple technologies across our 35+ SDKs while enabling customers of all kinds to feature flag their code. When working on our SDKs, you’d be contributing to much more than thin client wrappers. Our SDKs are feature-rich agents with strong emphases on performance, concurrency, and resiliency -- all while following idiomatic practices for their tech stack. LaunchDarkly serves trillions of feature flags daily to customers all around the globe, and every flag is handled by our SDKs. This team has a major impact not only on our company, but on our customers (and their customers). We are growing fast and we need your help writing the next chapter in our story. Responsibilities: Contribute to development for SDKs in supported platforms : Implement new features and improvements to meet customer performance and resiliency requirements Keep up to date with the latest development practices Collaborate with our engineering and product teams to drive the implementation and release of major features Actively maintain our open-source repositories Identify areas of improvement and advocate for best practices Have an active voice in shaping both technology and product decisions Basic Qualifications: Demonstrable experience building libraries and packages used by other developers Polyglot background with an ability to context switch between languages quickly 5+ years experience with at least two of the following: .NET/Go/Ruby/Python/NodeJS/Java Experience with the following is a plus: C++/Erlang/Haskell/Lua AI SDKs Observability SDKs Mobile development Strong computer science fundamentals Committed to working in a communicative, collaborative environment Self‐starter and problem solver, willing to solve difficult problems and work independently when necessary Strong testing background: experience building unit, integration, load tests, and benchmarks Experience writing production-ready code with emphasis on quality and maintainability Experience contributing to open-source software Logistics: This is a remote role, with opportunities to visit the office in the Bay Area, California, for team offsites The SDK team is spread between Eastern and Pacific time zones Highlights: You will work collaboratively with a team of highly experienced engineers who are amazing at the craft of engineering and building SDKs Your contributions will be publicly visible as the SDK team develops LaunchDarkly’s open-source SDKs in public LaunchDarkly uses our own SDKs. You will have opportunities working with the other teams within LaunchDarkly In this role, you can learn about many programming languages and frameworks You will have opportunities to strongly influence roadmap and prioritization Pay: Target pay ranges based on Geographic Zones* for Level 3: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $171,200 - $235,400** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $154,100 - $211,860 ** Zone 3: All other US locations - $ 145,500 - $200,090 ** LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @ launchdarkly.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: United States; San Francisco Workplace: Hybrid ClickHouse has a lot worth saying. The database has become a platform for real-time analytics, data warehousing, observability, and AI workloads. Many of the most interesting AI and software companies of the last few years run on it. Our founders and leaders hold clear, well-formed views on where data and AI are heading. And every week the customer base produces proof points most companies would build a campaign around. What we have not yet built is the function whose job it is to turn all of that into one story the market hears consistently, and from us. We are looking for a Head of Story & Communications to build that function from the ground up. You'll own the company narrative: what ClickHouse should be known for, how the platform story gets told above the level of features, and how the proof we generate adds up to a thesis. And you'll build the machine that carries it into the world: the announcement calendar, press and media relationships across technology and business media, and executive platforms for our founders and leaders. This is a build role and a player-coach role. You won't inherit a team; you'll hire one as the function grows, directing our agency partners in the meantime and staying in the work yourself. You'll report to the VP of Global Marketing and work closely with the executive team, product marketing, and the people closest to our customers. What You Will Be Doing - Define what ClickHouse should be known for and turn it into a rolling narrative and communications strategy that the marketing and executive teams work from - Build the communications machine: announcement calendar and tiering, press materials, holding statements, a reporter cadence, and launch amplification, directing agency partners and holding them to outcomes - Own press and media relations across technology and business media, taking the ClickHouse story beyond the tech press and re-educating the market on the full platform - Build executive platforms for our founders and leaders: the themes each owns, the moments and formats worth their time, and a clear way to evaluate inbound podcast, mainstage, and sponsored event opportunities - Shape quarterly release moments and major launches so they earn attention and show up consistently across press, social, community, and the field - Set the standard for how ClickHouse sounds in public: voice, quality bar, and the discipline that every published claim, number, and proof point is approved, current, and consistent - Hire and lead the team as the function grows, and build the planning and review rhythm that keeps narrative, communications, and social aligned What You Bring Along - Experience building or rebuilding a communications function at a growth-stage infrastructure, developer, or data company - A record of landing stories in tier-one business media as well as technology press, with the relationships and news judgment to do it again - Experience working directly with a CEO and executive team: shaping their points of view, preparing them, and declining opportunities not worth their time - Media-company operator instincts: you think in themes, arcs, and audiences - Player-coach approach: you write and edit yourself, give useful feedback, and set the bar by example - Comfort with a technical product and a technical audience, including credibility with engineers and developers - Experience directing agencies to outcomes, with judgment about what belongs in-house - Analytical grounding: you track what is landing, form a view on why, and use it to decide where to focus PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

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: Remote (United States | Canada); San Francisco, CA Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. As part of 1Password’s Developer Relations team, you’ll grow our presence where developers learn, share, and connect—especially on X, Reddit, and other relevant online communities. You’ll create technically accurate content, build relationships with technical creators, support product launches and events, and turn developer conversations into measurable audience growth and product interest. Your work will help advance 1Password’s mission to unleash employee productivity without compromising security. Reporting to the Director of Developer Relations, this role is remote within the United States, with the San Francisco Bay Area preferred. How we’re using AI today Our Engineering, Product, and Design teams are thoughtfully integrating AI across the full software and product development lifecycle to move faster without sacrificing quality or security. In practice, that looks like engineers using AI-assisted coding tools to accelerate reviews and catch bugs earlier, product managers synthesizing user research at scale, and designers rapidly prototyping and iterating with AI-generated mockups. We approach AI the same way we approach security: with clear principles, human accountability at every consequential decision point, and rigorous evaluation before anything ships to customers. This is a remote opportunity within Canada and the US. What we're looking for: • Experience in developer marketing, technical social media, community growth, or developer relations. • A track record of growing a developer or technical audience, with a clear understanding of your contribution and results. • Strong writing skills and the ability to turn technical ideas into clear, engaging content. • Technical fluency, including the ability to follow developer documentation, try tools or integrations, and collaborate comfortably with engineers. • Experience coordinating creator partnerships or marketing campaigns involving multiple contributors, deadlines, and deliverables. • Preferred: Experience marketing developer tools, security products, infrastructure, or artificial intelligence (AI) tools; an existing network of developer creators and community builders; or experience with employee advocacy, paid social experiments, or campaign attribution. What you can expect: • Grow 1Password’s developer audience through campaigns and ongoing engagement across X, Reddit, and other relevant channels. • Create posts, threads, and short-form content about developer workflows, product capabilities, security, and AI agents, partnering with engineers and developer advocates to ensure accuracy. • Identify and build relationships with technical creators, coordinate campaign briefs and deliverables, manage approved budgets, and track performance. • Support product launches with creator partnerships and social content that help developers understand new capabilities and get started. • Build an employee ambassador program that helps engineers share technical insights, projects, and lessons learned in their own voices. • Participate in developer communities by contributing useful answers, identifying relevant conversations, and bringing developer feedback back to the team. • Amplify developer events, experiment with new formats and messaging, and use engagement, qualified traffic, and attributable signups to improve the program and connect campaigns to product adoption. USA-based roles only: The annual base salary for this role is between $133,000 USD and $186,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $125,000 CAD and $175,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: San Francisco, CA Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE *Open to hiring remote across the US — we also have offices in NYC, San Francisco, and Seattle Strategic Finance is a high-visibility, high-impact role embedded in the decision-making core of the company. You will serve as a crucial partner to our executive, R&D, and GTM teams, owning the financial modeling and analysis that drives our core product and research strategy, optimizes our GTM engine, and informs critical operational decisions. This is a role for someone who has done this inside a fast-growing company before. You bring that operating judgment alongside analytical rigor, strong communication, and the curiosity to thrive at the frontier of generative AI. You’ll work closely with our CFO and Head of Strategic Finance, and partner directly with the executive team and cross-functional leads. WHAT YOU’LL DO - Partner deeply with Product, Research, and Engineering leadership to evaluate the financial ROI and viability of new product lines, features, and R&D investments. - Drive pricing and packaging strategies that maximize market penetration and revenue expansion. - Collaborate with Sales and Marketing leaders to analyze and optimize unit economics (LTV/CAC, payback periods), sales efficiency, pipeline health, and customer retention. - Act as the analytical engine for the executive team by leading cross-functional initiatives to improve operational efficiency, optimize resource allocation, and scale business processes. - Translate operational plans into financial models, identify risks and opportunities, and hold teams accountable to KPIs. - Own the KPI infrastructure that connects product and revenue metrics to financial outcomes, ensuring accuracy, timeliness, and a consistent narrative across all reporting. WHAT YOU’LL NEED - 7+ years of experience, including foundational analyst experience in investment banking or financial services, and high-impact operating experience in Strategic Finance, BizOps, or Corporate Finance at a high-growth technology company. - Experience building and leveraging AI tools for yourself and for cross-functional use. - A track record of operating through rapid scale: building and evolving financial models, planning processes, and reporting as a company’s complexity grows. - Strong fundamentals in financial modeling with a rigorous and quantitative approach to measuring operational success. - Exceptional communication skills with the ability to distill complex financial concepts into simple, digestible narratives for non-financial stakeholders. - You have a high bar for operational excellence and a keen sense of how to translate complex, ambiguous business questions to a clear plan of action. - A genuine interest in AI and its implications for industry and society Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: San Francisco; New York Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. THE ROLE We are seeking an exceptional Senior Manager Account Executive to lead our pursuits into the largest and most complex global enterprises. This is a senior Individual Contributor (IC) role designed for an elite enterprise seller who excels at high-stakes, multi-year deal campaigns. Rather than managing high-velocity pipeline across a wide territory, you will hold deep ownership of a curated portfolio of Checkout’s most strategic targets (e.g., Fortune 50 / global tier-one accounts). Deal cycles on these accounts are transformative, measured in quarters and years rather than weeks, with contract values spanning tens of millions in revenue and billions in processed volume. You will act as the "CEO of the Pursuit," orchestrating cross-functional deal squads—spanning Solutions Engineering, Product, Treasury, Legal, Regulatory, and Executive Leadership—to architect bespoke, mission-critical infrastructure solutions for sophisticated global buyers. KEY RESPONSIBILITIES - Strategic Account Orchestration: Develop and execute comprehensive, multi-year account penetration strategies for a select target list of mega-cap enterprises. Map complex, matrixed global organizations to uncover systemic inefficiencies in their existing payment stacks. - Multi-Threaded Stakeholder Alignment: Build sustained, credible relationships across diverse buying centers within the enterprise—including C-suite executives, Global Heads of Treasury, Chief Technology Officers, Product Leaders, and Enterprise Procurement. - Deal Team Leadership (Virtual GM): Mobilize, lead, and coordinate a dedicated cross-functional pursuit team (Solutions Engineers, Product Managers, Legal, Commercial Strategy, Integration Specialists, and C-level sponsors) to deliver high-impact proposals, deep-dive workshops, and executive briefings. - Complex Commercial & Technical Architecture: Translate complex technical, regulatory, and financial mechanics (e.g., cross-border interchange, scheme routing optimization, local acquiring, unified commerce) into quantifiable ROI models and long-term business cases tailored to board-level evaluation. - Multi-Year Pursuit Governance: Drive sustained momentum through complex, 12- to 24-plus month procurement, evaluation, and proof-of-concept cycles. Maintain discipline, milestone progression, and executive-level alignment despite organizational shifts, market changes, and competitive pressures. - High-Stakes Contract Negotiation: Lead master services agreement (MSA) negotiations, complex pricing frameworks, service-level commitments, and risk/regulatory alignments in direct coordination with top-tier corporate legal and procurement teams. QUALIFICATIONS & COMPETENCIES - Proven Track Record in Mega-Deals: Substantial history of quota attainment within enterprise software, fintech, or payments, specifically characterized by multi-million-dollar ACV or platform-scale commercial contracts. - Multi-Year Cycle Mastery: Demonstrated ability to originate, navigate, and close 12- to 24-plus month enterprise procurement cycles with Fortune 100 or global top-tier digital enterprises. - Executive Gravitas & Technical Acumen: Comfortable commanding the room with C-level stakeholders, corporate treasurers, and technical architects; able to synthesize complex payment infrastructure nuances into clear business outcomes. - Internal Leadership Without Authority: Exceptional ability to align internal executive stakeholders, prioritize cross-functional resources, and influence product roadmaps to win tier-one logos. - Strategic Endurance & Analytical Rigor: High intellectual curiosity, strategic patience, and structured account planning skills (e.g., MEDDPICC, Challenger, or equivalent enterprise methodologies). - Domain Knowledge: Prior experience in enterprise payments, financial infrastructure, cloud platforms, or complex transaction processing is strongly preferred. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. As part of 1Password’s Performance & Paid Media team, you’ll help grow our Product-Led Growth (PLG) and Self-Serve business across Business-to-Business (B2B) and Business-to-Consumer (B2C) audiences. You’ll manage paid marketing programs across the funnel, turn performance data into clear decisions, and help build efficient ways of working—including through artificial intelligence (AI)-enabled workflows. Your work will help more people discover and adopt 1Password as we build a safe, simpler digital future for everyone. Reporting to the Director, Performance & Paid Media, this role is remote in the United States and Canada. How we’re using AI today On the Marketing team, we’re growing our AI capability together and redesigning how work gets done. We’ve built agents to improve workflows focused on competitive intelligence, content creation, and campaign planning, helping us stay sharp, reduce context-switching, and surface the right information at the right time. AI helps us coordinate, execute, and uncover insights faster so we can spend more time on what’s most important: performance, judgement, and driving the future of 1Password. This is a remote opportunity within Canada and the US. What we're looking for: • 5+ years of experience in performance marketing, growth marketing, or user acquisition, ideally supporting PLG or Self-Serve business models. • Hands-on experience managing paid marketing channels such as paid social, affiliates, display, programmatic, app-focused, influencer, or other emerging channels. • Ability to use advertising platform data and marketing analytics to evaluate performance, make decisions, and improve campaigns when attribution data is incomplete. • Experience connecting marketing activity to outcomes such as signups, trial starts, activation, paid conversion, customer acquisition cost (CAC), retention, or revenue. • Strong cross-functional communication skills and the ability to collaborate with Growth, Product Marketing, Analytics, creative partners, and other stakeholders. • Experience supporting B2C or prosumer audiences, SaaS products, or self-serve customer journeys, along with familiarity with lifetime value (LTV) and CAC analysis. • Experience using AI-enabled tools or automated workflows to improve campaign execution, reporting, analysis, or decision-making. What you can expect: • Contribute to the PLG and Self-Serve performance marketing strategy across B2B and B2C audiences. • Manage assigned paid channels and programs from awareness through conversion, including planning, execution, optimization, and reporting. • Launch and optimize campaigns, evaluate channel performance, and identify opportunities across audiences, messaging, creative, and funnel stages. • Build productive vendor relationships, manage account partnerships, and negotiate for stronger performance and value. • Monitor leading indicators such as clicks, signups, trial starts, activation, and cost per acquisition, as well as outcomes including paid conversions, subscription volume, revenue, and retention. • Design, run, and document experiments across channels, audiences, creative, offers, pricing pages, and other parts of the customer journey. • Use AI agents and automated workflows to improve execution speed, reporting efficiency, and the quality of performance insights. • Collaborate with campaign managers, Product Marketing, Growth, Analytics, and other partners to share learnings and make informed recommendations. USA-based roles only: The annual base salary for this role is between $97,000 USD and $136,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $93,000 CAD and $130,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. About Grafana Labs: There are more than 700,000 active installations of Grafana around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a SpaceX launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps companies including Bloomberg, JPMorgan Chase, and eBay manage their observability strategies with full-stack offerings that can be run fully managed with Grafana Cloud, or self-managed with Grafana Enterprise Stack. The Grafana stack has grown to include more open-source projects, including Grafana Loki (for logs) and Grafana Tempo (for traces) and Grafana Mimir (for metrics). Description of Duties We’re looking for a Staff Technical Writer to create documentation and learning content that helps people adopt and master Grafana’s observability products. You’ll work with engineers, product managers, and the Grafana writing team to produce content for a range of products and audiences, from first-time users to experienced practitioners. Because our products and priorities evolve, we’re looking for someone who learns new technical domains quickly. AI is part of how this team works. We use AI-assisted workflows and tools throughout the content lifecycle, from research and drafting to review, validation, and maintenance. You’ll use these tools every day and help the team get better at using them. Key Responsibilities Plan, research, write, and maintain documentation and learning content (concepts, tasks, tutorials, references, and in-product learning) that supports adoption and long-term product mastery. Use AI tools and workflows to work faster and at a higher quality: drafting, structuring, technical validation, consistency checks, and keeping content current. You apply human judgment to everything AI produces and take responsibility for its accuracy. Contribute to the team’s shared AI workflows and skills, and look for ways to improve and automate how we create and maintain content as tools and models evolve. Partner with engineers, PMs, and other stakeholders to understand product requirements, interview subject matter experts, and turn complex technical detail into clear, accurate content. Test what you document. Run the software, follow your own procedures, and flag product and UX gaps you find along the way. Let data guide your priorities. We have strong docs and learning analytics. You’ll use them, along with user feedback, to find content gaps, prioritize your work, and show the impact of what you ship. Work with the documentation manager and other writers to improve information architecture, voice, and consistency across our docs, and to make information easy to find for both people and AI-driven search and assistants. Manage several projects at once, using judgment to prioritize and communicate clearly when the plan changes. Mentor teammates and share practices that raise the quality of the team’s work. Requirements What experience would make someone be successful in this role? Experience writing or documenting enterprise or developer-facing software, with a portfolio or writing samples that show technical depth. Hands-on experience using AI tools and models in your writing workflow (such as LLM assistants, agentic coding tools, or custom prompts and skills), and the ability to explain how you evaluate and verify their output. Experience working with docs-as-code: command-line Git, GitHub (pull requests and reviews), Markdown, and common IDEs. Comfort working in technical environments. You can set up, run, and troubleshoot software yourself to verify what you write (for example, command line, containers, or Kubernetes, or a willingness to learn quickly). Experience collaborating with engineers and product managers to get accurate technical information. Experience working remotely and asynchronously on a distributed team. What you’ll bring to the role Curiosity about AI as a craft. You treat AI workflows as a professional skill. You experiment, share what works, and know where AI helps and where it doesn’t. Technical credibility. You care about accuracy, you learn new technical domains quickly, and you ask questions until you understand them. Strong judgment and editing skills. You can tell good content from plausible-sounding content, and you hold the line on quality. Ownership. You manage multiple projects and work well both independently and collaboratively. Clarity. You write concisely and plainly for readers of all experience levels. Bonus: Experience with observability, monitoring, or cloud-native tooling, or contributing to open source documentation. Equal Opportunity Employer At Grafana Labs we’re building a company where a diverse mix of talented people want to come, stay, and do their best work. We know that our company runs on the hard work and the dedication of our passionate and creative employees. In the UK, the Base compensation range for this role is GBP 81,000 - GBP 97,000.  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *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 What you’ll bring to the role You’re an enthusiast for technically accurate content, you’re unafraid of managing multiple projects, and you enjoy working both collaboratively and independently. You have a well-used copy of “The Elements of Style”. In the US, the Base compensation range for this role is $ 123,933 - $ 148,719 .  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *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 *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. About Grafana Labs: There are more than 700,000 active installations of Grafana around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a SpaceX launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps companies including Bloomberg, JPMorgan Chase, and eBay manage their observability strategies with full-stack offerings that can be run fully managed with Grafana Cloud, or self-managed with Grafana Enterprise Stack. The Grafana stack has grown to include more open-source projects, including Grafana Loki (for logs) and Grafana Tempo (for traces) and Grafana Mimir (for metrics). Description of Duties We’re looking for a Staff Technical Writer to create documentation and learning content that helps people adopt and master Grafana’s observability products. You’ll work with engineers, product managers, and the Grafana writing team to produce content for a range of products and audiences, from first-time users to experienced practitioners. Because our products and priorities evolve, we’re looking for someone who learns new technical domains quickly. AI is part of how this team works. We use AI-assisted workflows and tools throughout the content lifecycle, from research and drafting to review, validation, and maintenance. You’ll use these tools every day and help the team get better at using them. Key Responsibilities Plan, research, write, and maintain documentation and learning content (concepts, tasks, tutorials, references, and in-product learning) that supports adoption and long-term product mastery. Use AI tools and workflows to work faster and at a higher quality: drafting, structuring, technical validation, consistency checks, and keeping content current. You apply human judgment to everything AI produces and take responsibility for its accuracy. Contribute to the team’s shared AI workflows and skills, and look for ways to improve and automate how we create and maintain content as tools and models evolve. Partner with engineers, PMs, and other stakeholders to understand product requirements, interview subject matter experts, and turn complex technical detail into clear, accurate content. Test what you document. Run the software, follow your own procedures, and flag product and UX gaps you find along the way. Let data guide your priorities. We have strong docs and learning analytics. You’ll use them, along with user feedback, to find content gaps, prioritize your work, and show the impact of what you ship. Work with the documentation manager and other writers to improve information architecture, voice, and consistency across our docs, and to make information easy to find for both people and AI-driven search and assistants. Manage several projects at once, using judgment to prioritize and communicate clearly when the plan changes. Mentor teammates and share practices that raise the quality of the team’s work. Requirements What experience would make someone be successful in this role? Experience writing or documenting enterprise or developer-facing software, with a portfolio or writing samples that show technical depth. Hands-on experience using AI tools and models in your writing workflow (such as LLM assistants, agentic coding tools, or custom prompts and skills), and the ability to explain how you evaluate and verify their output. Experience working with docs-as-code: command-line Git, GitHub (pull requests and reviews), Markdown, and common IDEs. Comfort working in technical environments. You can set up, run, and troubleshoot software yourself to verify what you write (for example, command line, containers, or Kubernetes, or a willingness to learn quickly). Experience collaborating with engineers and product managers to get accurate technical information. Experience working remotely and asynchronously on a distributed team. What you’ll bring to the role Curiosity about AI as a craft. You treat AI workflows as a professional skill. You experiment, share what works, and know where AI helps and where it doesn’t. Technical credibility. You care about accuracy, you learn new technical domains quickly, and you ask questions until you understand them. Strong judgment and editing skills. You can tell good content from plausible-sounding content, and you hold the line on quality. Ownership. You manage multiple projects and work well both independently and collaboratively. Clarity. You write concisely and plainly for readers of all experience levels. Bonus: Experience with observability, monitoring, or cloud-native tooling, or contributing to open source documentation. Equal Opportunity Employer At Grafana Labs we’re building a company where a diverse mix of talented people want to come, stay, and do their best work. We know that our company runs on the hard work and the dedication of our passionate and creative employees. In the UK, the Base compensation range for this role is GBP 81,000 - GBP 97,000.  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *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 *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. About Grafana Labs: There are more than 700,000 active installations of Grafana around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a SpaceX launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps companies including Bloomberg, JPMorgan Chase, and eBay manage their observability strategies with full-stack offerings that can be run fully managed with Grafana Cloud, or self-managed with Grafana Enterprise Stack. The Grafana stack has grown to include more open-source projects, including Grafana Loki (for logs) and Grafana Tempo (for traces) and Grafana Mimir (for metrics). Description of Duties We’re looking for a Staff Technical Writer to create documentation and learning content that helps people adopt and master Grafana’s observability products. You’ll work with engineers, product managers, and the Grafana writing team to produce content for a range of products and audiences, from first-time users to experienced practitioners. Because our products and priorities evolve, we’re looking for someone who learns new technical domains quickly. AI is part of how this team works. We use AI-assisted workflows and tools throughout the content lifecycle, from research and drafting to review, validation, and maintenance. You’ll use these tools every day and help the team get better at using them. Key Responsibilities Plan, research, write, and maintain documentation and learning content (concepts, tasks, tutorials, references, and in-product learning) that supports adoption and long-term product mastery. Use AI tools and workflows to work faster and at a higher quality: drafting, structuring, technical validation, consistency checks, and keeping content current. You apply human judgment to everything AI produces and take responsibility for its accuracy. Contribute to the team’s shared AI workflows and skills, and look for ways to improve and automate how we create and maintain content as tools and models evolve. Partner with engineers, PMs, and other stakeholders to understand product requirements, interview subject matter experts, and turn complex technical detail into clear, accurate content. Test what you document. Run the software, follow your own procedures, and flag product and UX gaps you find along the way. Let data guide your priorities. We have strong docs and learning analytics. You’ll use them, along with user feedback, to find content gaps, prioritize your work, and show the impact of what you ship. Work with the documentation manager and other writers to improve information architecture, voice, and consistency across our docs, and to make information easy to find for both people and AI-driven search and assistants. Manage several projects at once, using judgment to prioritize and communicate clearly when the plan changes. Mentor teammates and share practices that raise the quality of the team’s work. Requirements What experience would make someone be successful in this role? Experience writing or documenting enterprise or developer-facing software, with a portfolio or writing samples that show technical depth. Hands-on experience using AI tools and models in your writing workflow (such as LLM assistants, agentic coding tools, or custom prompts and skills), and the ability to explain how you evaluate and verify their output. Experience working with docs-as-code: command-line Git, GitHub (pull requests and reviews), Markdown, and common IDEs. Comfort working in technical environments. You can set up, run, and troubleshoot software yourself to verify what you write (for example, command line, containers, or Kubernetes, or a willingness to learn quickly). Experience collaborating with engineers and product managers to get accurate technical information. Experience working remotely and asynchronously on a distributed team. What you’ll bring to the role Curiosity about AI as a craft. You treat AI workflows as a professional skill. You experiment, share what works, and know where AI helps and where it doesn’t. Technical credibility. You care about accuracy, you learn new technical domains quickly, and you ask questions until you understand them. Strong judgment and editing skills. You can tell good content from plausible-sounding content, and you hold the line on quality. Ownership. You manage multiple projects and work well both independently and collaboratively. Clarity. You write concisely and plainly for readers of all experience levels. Bonus: Experience with observability, monitoring, or cloud-native tooling, or contributing to open source documentation. Equal Opportunity Employer At Grafana Labs we’re building a company where a diverse mix of talented people want to come, stay, and do their best work. We know that our company runs on the hard work and the dedication of our passionate and creative employees. In Spain, the Base compensation range for this role is EUR 73,000 -  88,000.  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *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 *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. About Grafana Labs: There are more than 700,000 active installations of Grafana around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a SpaceX launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps companies including Bloomberg, JPMorgan Chase, and eBay manage their observability strategies with full-stack offerings that can be run fully managed with Grafana Cloud, or self-managed with Grafana Enterprise Stack. The Grafana stack has grown to include more open-source projects, including Grafana Loki (for logs) and Grafana Tempo (for traces) and Grafana Mimir (for metrics). Description of Duties We’re looking for a Staff Technical Writer to create documentation and learning content that helps people adopt and master Grafana’s observability products. You’ll work with engineers, product managers, and the Grafana writing team to produce content for a range of products and audiences, from first-time users to experienced practitioners. Because our products and priorities evolve, we’re looking for someone who learns new technical domains quickly. AI is part of how this team works. We use AI-assisted workflows and tools throughout the content lifecycle, from research and drafting to review, validation, and maintenance. You’ll use these tools every day and help the team get better at using them. Key Responsibilities Plan, research, write, and maintain documentation and learning content (concepts, tasks, tutorials, references, and in-product learning) that supports adoption and long-term product mastery. Use AI tools and workflows to work faster and at a higher quality: drafting, structuring, technical validation, consistency checks, and keeping content current. You apply human judgment to everything AI produces and take responsibility for its accuracy. Contribute to the team’s shared AI workflows and skills, and look for ways to improve and automate how we create and maintain content as tools and models evolve. Partner with engineers, PMs, and other stakeholders to understand product requirements, interview subject matter experts, and turn complex technical detail into clear, accurate content. Test what you document. Run the software, follow your own procedures, and flag product and UX gaps you find along the way. Let data guide your priorities. We have strong docs and learning analytics. You’ll use them, along with user feedback, to find content gaps, prioritize your work, and show the impact of what you ship. Work with the documentation manager and other writers to improve information architecture, voice, and consistency across our docs, and to make information easy to find for both people and AI-driven search and assistants. Manage several projects at once, using judgment to prioritize and communicate clearly when the plan changes. Mentor teammates and share practices that raise the quality of the team’s work. Requirements What experience would make someone be successful in this role? Experience writing or documenting enterprise or developer-facing software, with a portfolio or writing samples that show technical depth. Hands-on experience using AI tools and models in your writing workflow (such as LLM assistants, agentic coding tools, or custom prompts and skills), and the ability to explain how you evaluate and verify their output. Experience working with docs-as-code: command-line Git, GitHub (pull requests and reviews), Markdown, and common IDEs. Comfort working in technical environments. You can set up, run, and troubleshoot software yourself to verify what you write (for example, command line, containers, or Kubernetes, or a willingness to learn quickly). Experience collaborating with engineers and product managers to get accurate technical information. Experience working remotely and asynchronously on a distributed team. What you’ll bring to the role Curiosity about AI as a craft. You treat AI workflows as a professional skill. You experiment, share what works, and know where AI helps and where it doesn’t. Technical credibility. You care about accuracy, you learn new technical domains quickly, and you ask questions until you understand them. Strong judgment and editing skills. You can tell good content from plausible-sounding content, and you hold the line on quality. Ownership. You manage multiple projects and work well both independently and collaboratively. Clarity. You write concisely and plainly for readers of all experience levels. Bonus: Experience with observability, monitoring, or cloud-native tooling, or contributing to open source documentation. Equal Opportunity Employer At Grafana Labs we’re building a company where a diverse mix of talented people want to come, stay, and do their best work. We know that our company runs on the hard work and the dedication of our passionate and creative employees. In the ROI, the Base compensation range for this role is EUR 92,000 -  110,000.  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *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 *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. About Grafana Labs: There are more than 700,000 active installations of Grafana around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a SpaceX launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps companies including Bloomberg, JPMorgan Chase, and eBay manage their observability strategies with full-stack offerings that can be run fully managed with Grafana Cloud, or self-managed with Grafana Enterprise Stack. The Grafana stack has grown to include more open-source projects, including Grafana Loki (for logs) and Grafana Tempo (for traces) and Grafana Mimir (for metrics). Description of Duties We’re looking for a Staff Technical Writer to create documentation and learning content that helps people adopt and master Grafana’s observability products. You’ll work with engineers, product managers, and the Grafana writing team to produce content for a range of products and audiences, from first-time users to experienced practitioners. Because our products and priorities evolve, we’re looking for someone who learns new technical domains quickly. AI is part of how this team works. We use AI-assisted workflows and tools throughout the content lifecycle, from research and drafting to review, validation, and maintenance. You’ll use these tools every day and help the team get better at using them. Key Responsibilities Plan, research, write, and maintain documentation and learning content (concepts, tasks, tutorials, references, and in-product learning) that supports adoption and long-term product mastery. Use AI tools and workflows to work faster and at a higher quality: drafting, structuring, technical validation, consistency checks, and keeping content current. You apply human judgment to everything AI produces and take responsibility for its accuracy. Contribute to the team’s shared AI workflows and skills, and look for ways to improve and automate how we create and maintain content as tools and models evolve. Partner with engineers, PMs, and other stakeholders to understand product requirements, interview subject matter experts, and turn complex technical detail into clear, accurate content. Test what you document. Run the software, follow your own procedures, and flag product and UX gaps you find along the way. Let data guide your priorities. We have strong docs and learning analytics. You’ll use them, along with user feedback, to find content gaps, prioritize your work, and show the impact of what you ship. Work with the documentation manager and other writers to improve information architecture, voice, and consistency across our docs, and to make information easy to find for both people and AI-driven search and assistants. Manage several projects at once, using judgment to prioritize and communicate clearly when the plan changes. Mentor teammates and share practices that raise the quality of the team’s work. Requirements What experience would make someone be successful in this role? Experience writing or documenting enterprise or developer-facing software, with a portfolio or writing samples that show technical depth. Hands-on experience using AI tools and models in your writing workflow (such as LLM assistants, agentic coding tools, or custom prompts and skills), and the ability to explain how you evaluate and verify their output. Experience working with docs-as-code: command-line Git, GitHub (pull requests and reviews), Markdown, and common IDEs. Comfort working in technical environments. You can set up, run, and troubleshoot software yourself to verify what you write (for example, command line, containers, or Kubernetes, or a willingness to learn quickly). Experience collaborating with engineers and product managers to get accurate technical information. Experience working remotely and asynchronously on a distributed team. What you’ll bring to the role Curiosity about AI as a craft. You treat AI workflows as a professional skill. You experiment, share what works, and know where AI helps and where it doesn’t. Technical credibility. You care about accuracy, you learn new technical domains quickly, and you ask questions until you understand them. Strong judgment and editing skills. You can tell good content from plausible-sounding content, and you hold the line on quality. Ownership. You manage multiple projects and work well both independently and collaboratively. Clarity. You write concisely and plainly for readers of all experience levels. Bonus: Experience with observability, monitoring, or cloud-native tooling, or contributing to open source documentation. Equal Opportunity Employer At Grafana Labs we’re building a company where a diverse mix of talented people want to come, stay, and do their best work. We know that our company runs on the hard work and the dedication of our passionate and creative employees. In Germany, the Base compensation range for this role is EUR 85,000 -  102,000.  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *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 *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: Canada (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. About Grafana Labs: There are more than 700,000 active installations of Grafana around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a SpaceX launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps companies including Bloomberg, JPMorgan Chase, and eBay manage their observability strategies with full-stack offerings that can be run fully managed with Grafana Cloud, or self-managed with Grafana Enterprise Stack. The Grafana stack has grown to include more open-source projects, including Grafana Loki (for logs) and Grafana Tempo (for traces) and Grafana Mimir (for metrics). Description of Duties We’re looking for a Staff Technical Writer to create documentation and learning content that helps people adopt and master Grafana’s observability products. You’ll work with engineers, product managers, and the Grafana writing team to produce content for a range of products and audiences, from first-time users to experienced practitioners. Because our products and priorities evolve, we’re looking for someone who learns new technical domains quickly. AI is part of how this team works. We use AI-assisted workflows and tools throughout the content lifecycle, from research and drafting to review, validation, and maintenance. You’ll use these tools every day and help the team get better at using them. Key Responsibilities Plan, research, write, and maintain documentation and learning content (concepts, tasks, tutorials, references, and in-product learning) that supports adoption and long-term product mastery. Use AI tools and workflows to work faster and at a higher quality: drafting, structuring, technical validation, consistency checks, and keeping content current. You apply human judgment to everything AI produces and take responsibility for its accuracy. Contribute to the team’s shared AI workflows and skills, and look for ways to improve and automate how we create and maintain content as tools and models evolve. Partner with engineers, PMs, and other stakeholders to understand product requirements, interview subject matter experts, and turn complex technical detail into clear, accurate content. Test what you document. Run the software, follow your own procedures, and flag product and UX gaps you find along the way. Let data guide your priorities. We have strong docs and learning analytics. You’ll use them, along with user feedback, to find content gaps, prioritize your work, and show the impact of what you ship. Work with the documentation manager and other writers to improve information architecture, voice, and consistency across our docs, and to make information easy to find for both people and AI-driven search and assistants. Manage several projects at once, using judgment to prioritize and communicate clearly when the plan changes. Mentor teammates and share practices that raise the quality of the team’s work. Requirements What experience would make someone be successful in this role? Experience writing or documenting enterprise or developer-facing software, with a portfolio or writing samples that show technical depth. Hands-on experience using AI tools and models in your writing workflow (such as LLM assistants, agentic coding tools, or custom prompts and skills), and the ability to explain how you evaluate and verify their output. Experience working with docs-as-code: command-line Git, GitHub (pull requests and reviews), Markdown, and common IDEs. Comfort working in technical environments. You can set up, run, and troubleshoot software yourself to verify what you write (for example, command line, containers, or Kubernetes, or a willingness to learn quickly). Experience collaborating with engineers and product managers to get accurate technical information. Experience working remotely and asynchronously on a distributed team. What you’ll bring to the role Curiosity about AI as a craft. You treat AI workflows as a professional skill. You experiment, share what works, and know where AI helps and where it doesn’t. Technical credibility. You care about accuracy, you learn new technical domains quickly, and you ask questions until you understand them. Strong judgment and editing skills. You can tell good content from plausible-sounding content, and you hold the line on quality. Ownership. You manage multiple projects and work well both independently and collaboratively. Clarity. You write concisely and plainly for readers of all experience levels. Bonus: Experience with observability, monitoring, or cloud-native tooling, or contributing to open source documentation. Equal Opportunity Employer At Grafana Labs we’re building a company where a diverse mix of talented people want to come, stay, and do their best work. We know that our company runs on the hard work and the dedication of our passionate and creative employees. In Canada, the Base compensation range for this role is CAD 145,000 - 178,000.  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *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 *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: 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.