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Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity We are looking for a Senior Director of Corporate FP&A to join Grafana Labs and help build and scale our Corporate FP&A function as the company enters its next phase of growth. This is a pivotal leadership role responsible for building the financial infrastructure and operating cadence that power company-wide planning, forecasting, reporting, and decision-making. You will own key Corporate FP&A processes, including long-range planning, annual planning, consolidated P&L, Balance Sheet and Cash Flow forecasting, executive and Board reporting, while helping establish the rigor, systems, and insights required to support the company’s next phase of growth. You will serve as a key partner to Finance, business leaders, and the executive leadership team, translating operating performance into clear financial insights and helping drive fast, informed decisions. The ideal candidate is a seasoned, results-oriented finance leader with strong business judgment, high integrity, and a track record of building scalable processes in complex, high-growth environments. You should be equally comfortable operating strategically and going deep into the details, with the ability to identify what needs to be built and raise the overall standard of Corporate FP&A. This is an opportunity to build the foundation for Corporate FP&A at a high-growth global company. The role is fully remote and will report to the VP of Finance. What you'll be doing: Own the company-wide Corporate FP&A model and planning processes, including long-range planning, annual planning, monthly forecasting, and consolidated P&L, Balance Sheet, and Cash Flow forecasting. Lead executive and Board reporting, delivering clear, decision-ready materials and commentary on business performance, key drivers, risks, opportunities, and operating leverage. Build and continuously refine the company’s KPI and reporting architecture, including scorecards, dashboards, recurring business reviews, and analytical frameworks that leadership and investors can rely on. Partner closely with Accounting, Tax, and other Finance teams to support month-end close, flux reviews, and financial reporting. Establish and continuously improve Corporate FP&A operating rhythms, including close-to-insight timelines, clear ownership, metric definitions, and reporting processes designed to support the company’s next phase of growth. Lead the modernization of Finance processes, forecasting methodologies, and planning frameworks through systems, workflow automation, structured data, and AI to improve accuracy, scalability, and the quality of forward-looking insights as the business evolves. Build strong cross-functional relationships with business and functional leaders, serving as a trusted partner on financial performance, resource allocation, and strategic decision-making. Build, mentor, and develop a high-performing Corporate FP&A team, and support strategic initiatives such as M&A diligence and integration as needed. What Makes You a Great Fit: 10+ years of experience across FP&A, Strategic Finance, Corporate Finance, or related disciplines, including meaningful experience at a leading technology company and ideally complementary experience in investment banking or buy-side investing. Experience in SaaS, enterprise software, or the broader technology sector is strongly preferred. Corporate FP&A leadership experience, ideally in a public-company, newly public, or public-company-readiness environment, with exposure to quarterly close, executive reporting, Board reporting, and other rigorous financial operating cadences. Meaningful experience owning a consolidated P&L, company-wide forecast, and Balance Sheet and Cash Flow forecasting processes. Advanced financial modeling and analytical skills, with the ability to build models from scratch, pressure-test assumptions, identify root causes, and translate complex analysis into clear, actionable insights. Strong executive presence and communication skills, with experience preparing and presenting decision-ready materials to senior leadership and the Board, and influencing significant company decisions. Proven ability to serve as a trusted business partner across functions and geographies, with strong business judgment and a track record of building effective cross-functional relationships. Demonstrated success as a change agent, improving forecasting, planning, reporting, and operating processes as organizations scale. Strong systems and technical fluency, including experience with Pigment and AI tools, and a track record of automating financial processes and applying AI to Finance workflows. Ability to operate at multiple altitudes, from strategic thinking to detailed execution, while prioritizing competing demands and managing multiple projects in a fast-paced environment. A player-coach mindset with high attention to detail and the highest standards of integrity, credibility, and accountability. Compensation & Rewards: In the United States, the OTE (On-Target Earnings) compensation range for this role is $260,000 - $312,000.  Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. #LI-Remote *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Remote US About the role More and more PlanetScale databases are created, connected and queried by AI agents. Cursor, Claude Code, Codex and a growing list of other tools now sit between developers and their infrastructure. You will own that experience end to end. You'll make sure PlanetScale shows up everywhere developers build with AI, that our MCP server and CLI work flawlessly in every agent, and that we can measure how well it all works. Then you'll show the world how to do it well through demos, docs, blog posts, videos, and conferences. This is a hands-on role combining engineering, content creation, and a strong public voice. You'll work closely with the teams that build our MCP server, CLI, API and docs. The landscape of how developers work with AI changes fast. You'll have the opportunity to move quickly, experiment, and take the lead on the future of AI use with databases and infrastructure. Make PlanetScale great with AI tools Build and maintain the plugins for PlanetScale in every AI marketplace and directory: agent plugins, skill registries, MCP directories, IDE extension stores and AI app builders Own our integrations with AI coding tools, agent frameworks and platforms Stay current with AI tools as they launch and ensure our customers have a great experience from day one Test the PlanetScale MCP server and CLI across Claude Code, Cursor, Codex, VS Code and other clients, and catch regressions before users do Find friction in creating a database, connecting, running migrations and debugging queries from inside an agent, then fix it or drive the fix with the owning team Improve the context agents rely on: tool descriptions, skills, llms.txt, docs written for agents, and error messages agents can act on Attention to AEO (answer engine optimization): make sure agents find and recommend PlanetScale Build and maintain skills for working with Postgres, MySQL, Vitess, Neki, and PlanetScale Measure how well we're doing Build evals that run real agent tasks against PlanetScale databases Benchmark how agents perform with PlanetScale and work towards continuous improvement Track how often AI assistants and agents recommend PlanetScale for database questions, and whether what they say about us is accurate Instrument and report on agent usage: databases created by agents, time to first connection, MCP versus CLI usage, and where sessions fail Show people how to do it well Build demos and sample apps that show PlanetScale and AI tooling at their best Write docs, guides and blog posts on using databases effectively with AI, including safe access, branching and performance assessment Make videos and attend conferences to communicate with our audience how to build effectively with AI These attributes best describe you Daily use of AI coding agents, with strong opinions about what makes a tool work well with them Experience building an MCP server, plugin, CLI or SDK that real developers use Software engineering background in languages like TypeScript and Go, and comfort with APIs, OAuth and the command line Experience with writing docs, blogs, and / or video content creation Good at communicating with a broad audience and customers alike on socials Experience working with relational databases (Postgres, MySQL, SQLite), schema design, migrations, connection handling, and Postgres or MySQL in production Data fluency: designing evals, writing the queries behind a dashboard, and telling a real trend from noise Clear communication of technical ideas in writing, on video and on stage Independence and speed: spotting a gap, shipping a fix, and telling people about it Genuine curiosity about the AI tooling landscape and a habit of keeping up with it Bonus points Contributions to the MCP spec, SDKs or popular open-source MCP servers Experience writing agent skills, plugins or rules files for Claude Code, Cursor or Codex Experience with LLM eval tools and building benchmarks for agents Experience with AEO or GEO, or with tracking how LLMs surface and recommend a product A blog, YouTube channel or GitHub that developers already follow Experience with Vitess, database sharding, or running databases at scale Why PlanetScale We're redefining how high-growth companies manage data at scale—and we work with some of the most exciting brands in gaming, consumer tech, and B2B SaaS. As a Software Engineer, you'll be at the core of building the platform that powers world-class apps used by hundreds of millions of users worldwide. PlanetScale is a profitable company with a philosophy centered around building small teams of p99 individuals and is recognized as one of the fastest growing companies in America. At PlanetScale we believe in supporting people to do their best work and thrive no matter the location. Our mission is to build a diverse, equitable, and inclusive company. We strive to build an inclusive environment where all people feel that they are equally respected and valued, whether they are a candidate or an employee. We welcome applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, citizenship, socioeconomic status, disability, pregnancy status, and veteran status. If you have a disability, please let us know if there's any way we can make the interview process better for you; we're happy to accommodate! Total Compensation and Pay Transparency An employee's total compensation consists of base salary + variable comp where appropriate + benefits + equity. A member of our Talent Acquisition team will be happy to answer any further questions when we engage with you to begin the interview process. Base Salary Range: $170,000 - $220,000

Location: Boston, MA; San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is an AI safety and research company working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and society as a whole. As an Enforcement Analyst focused on Agentic Alignment, you will play a crucial role in identifying and investigating harmful and unexpected behavior by models, and make enforcement decisions accordingly. You'll work closely with a suite of cross-functional teams, within and outside of Safeguards, including: Policy, Threat Intel, Engineering, Research, and Transparency. Your work will be essential in maintaining Anthropic's commitment to safe and beneficial AI as Claude takes on more autonomous work. Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. There is also an on-call responsibility across the Policy and Enforcement teams. Key responsibilities Review and investigate potential instances of Agentic Misalignment, working from transcripts, tool-use traces, and code Triage cases by severity and urgency and share through the appropriate channels Help operationalize review pipelines for agentic cases, translating leads from detection outputs and investigations into structured review workflows that scale Make enforcement decisions under the Usage Policy, applying it consistently to novel agentic scenarios and across surfaces, and documenting the reasoning behind each decision Assess cyber-related agentic activity, such as scanning, exploitation attempts, credential misuse or malicious code to determine its real-world harm potential Write clear, well-evidenced case write-ups for audiences ranging from enforcement peers to senior leadership Identify patterns and trends across cases, and close the loop between enforcement outcomes and upstream improvements by feeding findings back to policy, detection and research teams to improve policies, classifiers and model behavior Maintain rigorous documentation of enforcement decisions, review logic and precedents to build institutional knowledge Collaborate with Threat Intelligence, Research, Engineering and Policy partners so that detection coverage keeps pace with how agentic misuse and misaligned behavior evolve Use AI systems, including Claude, to accelerate your own investigations: summarizing long transcripts, analyzing code, querying data and building lightweight tooling Contribute to regular reports on agentic harm trends and enforcement outcomes Minimum qualifications Can read and understand code (for example Python, JavaScript or shell scripts) well enough to follow what happened and why it matters Have a background in security, cyber threat intelligence, or a similar technical field that lets you understand how cyber harm happens and judge its severity Have experience in trust and safety, enforcement, investigations or a related field, translating ambiguous policy questions and facts into defensible enforcement decisions and clear written findings Have conducted structured investigations, building a case from first signal to final finding and knowing when the evidence is strong enough to act on Have supported or contributed to formal enforcement actions, including case documentation, evidence packaging and escalation coordination Write clearly and concisely, and can present complex findings to stakeholders across Legal, Policy and Engineering, including non-technical audiences Have sound judgment about when a case needs escalation, and the resilience to work with difficult content Preferred qualifications Have demonstrated use of AI systems to accelerate your own work, and are excited to keep finding new ways to do so Are comfortable working with large volumes of data, from long transcripts, logs and traces to complex, multi-table datasets, and surfacing the behavioral patterns that matter Are curious about how AI agents behave, and enjoy investigating behavior no one has categorized before, building approaches where established playbooks don’t exist Have familiarity with AI safety and alignment, and current debates about the risks of increasingly autonomous AI systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $245,000 — $285,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Brussels, Belgium Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fuelling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing. Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job Tether and its affiliated entities (e.g. Bitfinex) are searching for an organized self-starter to join our Regulatory and Licensing team, to lead efforts in the European Union. The successful candidate is someone with an understanding of the regulatory environment pertaining to the crypto-asset industry / stablecoin industry in the Union, as well as broader legislation pertaining to topics such as communication technology and artificial intelligence, and who is excited by the opportunity to apply their existing regulatory affairs and / or legal experience in an exciting and dynamic business environment. To succeed in this role, the incumbent will continuously strive to self-develop and enhance their skill sets including understanding the Company’s products and services, blockchain technology, and regulatory requirements. You will have a focus around working with regulators to translate policy objectives of the companies into favourable regulatory requirements in the region, as part of enabling the broader business strategy across Tether’s business verticals. The successful candidate should be comfortable managing relationships and communications between various stakeholders both internal and external to the business, including regulators and policy setters, as well as working with cross-functional teams such as Operations, Finance, Technology, Business Development. You will report to the Vice President of the Regulatory and Licensing division, and work alongside project managers and members of the wider business to execute on regulatory affairs initiatives. Responsibilities Regulatory Affairs Maintain proactive relationships with policymakers, regulators, central banks, and financial intelligence units relevant to the Company’s product and service lines. Monitor regulatory developments impacting Tether and affiliates companies in the country. Represent the company in consultations, workshops, industry roundtables, and regulatory dialogues. Prepare briefing papers, comment letters, and policy submissions aligned with broader global regulatory strategy. Identify and successfully realise opportunities to shape emerging frameworks in a risk-sensitive, innovation-oriented manner. Strategy & Cross-Functional Collaboration Provide actionable risk and regulatory insights to internal stakeholders (legal, product, compliance, risk, commercial). Support enterprise-level planning for new products or expansions into the aforementioned countries, advising on regulatory constraints and enablers. Contribute to internal reporting and executive briefings on policy risks and regulatory trajectory regionally Minimum of 8 years governmental affairs / regulatory affairs / legal experience ideally within the financial services or crypto-asset industry in the EU, preferably Brussels based. Fintech or Digital assets exposure is important Experience engaging with regulators or government bodies advocating and advising in a regulatory capacity, with demonstrated achievements securing favourable policy positions on behalf of another organisation. Excellent written and verbal communication skills, with the ability to synthesise complex regulatory topics for non-technical audiences. Proven ability to manage multiple stakeholders across borders and time zones. Communication: Exceptional communication skills, both written and verbal, with experience in public speaking and representing companies in regulatory discussions. Must be a strong team player, and willing to be fully engaged with key stakeholders both in our company but also with our partners. Must be a hands-on professional capable of working collaboratively and independently. English speaking. Location: preferred location Brussels ( but open to other EU locations as well) Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: Singapore About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking an Enterprise Account Executive, Industries – Manufacturing to lead Anthropic’s go-to-market in Taiwan from our Singapore hub. You will bring Claude to Taiwan’s leading high-tech manufacturers in semiconductors, electronics, and the AI hardware supply chain, helping them apply AI across engineering, operations, supply chain, and corporate functions. You will own the full sales cycle with C-suite and senior technical stakeholders, working with Product, Engineering, Applied AI, and Partnerships to shape solutions that fit the market. As one of Anthropic’s first commercial presences covering Taiwan, you will also help define our regional strategy and build the foundation for long-term growth, in a way that reflects Anthropic’s mission to ensure the world safely makes the transition through transformative AI. Key responsibilities Meet and exceed revenue targets by winning new enterprise accounts and expanding existing ones, while landing flagship references across Taiwan’s semiconductor, electronics, and broader manufacturing sectors Build and execute a territory plan that reflects Taiwan’s manufacturing landscape, including its buying behavior, regulatory environment, and data residency expectations Lead consultative sales with C-suite and senior technical leaders, positioning AI as a driver of business transformation Translate Claude’s technical capabilities into clear business value for manufacturing use cases Run technical discovery with engineering leaders and speak credibly about security, IP protection, and deployment options with customers whose designs and process data are their most sensitive assets Partner with Product, Engineering, Applied AI, and Partnerships to design tailored solutions and support complex deals Build co-sell motions with hyperscaler and system integrator partners, including joint customer engagements and marketplace procurement, to extend reach across the territory Identify new use cases and feed customer and market insights back into the product roadmap Represent Anthropic with customers, partners, and industry stakeholders in Taiwan, including conversations about the safe and responsible use of AI Minimum qualifications 10+ years in enterprise sales, business development, or account management, including selling to semiconductor, electronics, or other manufacturing customers in Taiwan Deep understanding of Taiwan’s high-tech manufacturing ecosystem, including how leading companies organize engineering, manufacturing, and supply chain functions, and where AI creates measurable value Track record of closing complex, multi-stakeholder enterprise deals Existing commercial network among Taiwan-based enterprises Fluency in Mandarin and English, with strong written and verbal communication and presentation skills Strong commercial judgment and the ability to work independently in a fast-moving, early-stage market Based in or willing to relocate to Singapore, with eligibility to work there and willingness to travel frequently to Taiwan Bachelor’s degree in a related field or equivalent experience Preferred qualifications Experience selling AI/ML, cloud, data platforms, or enterprise SaaS into manufacturing, semiconductor, electronics, or industrial sectors Experience co-selling with hyperscaler, channel, or SI partners Familiarity with regional data residency, AI governance, IP protection, and enterprise procurement requirements Interest in or experience with advanced AI systems and their safe development Understanding of Taiwan’s competitive and sovereign AI market, including hyperscaler presence, government-backed local models, and manufacturers building their own models Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As Product Counsel, you will be a hands-on legal partner to the teams building Claude for consumers and businesses. You'll work across Claude's apps, subscriptions, growth programs and enterprise offerings, moving to wherever the need is greatest. You'll learn from experienced product lawyers, get close to the product quickly, and take on more ownership as you go. This is a generalist role for someone who wants range, likes a fast pace, and is ready to do the routine work and the novel work with the same care. Key responsibilities Partner with Product, Engineering, Design and other cross-functional teams to give clear, practical legal guidance from early ideas through launch Review product launches across Claude's consumer and enterprise offerings, spotting issues early and helping teams find a path forward Advise on subscriptions, pricing, promotions, billing and other growth programs, including consumer protection and marketing rules Support enterprise and regulated-industry products on topics such as admin controls, customer commitments and enterprise readiness Draft and review user-facing terms, disclosures, in-product copy and marketing claims Pull in privacy, commercial, IP, safety and other specialists, then return one integrated answer to your product partners Build guides, templates and AI-powered workflows so routine questions get answered quickly and the team can focus on novel ones Pick up new areas as priorities shift, and help with incidents and escalations when they come up Minimum qualifications Hold a law degree (JD, LLB, or equivalent) and meet the local licensing requirements to work as in-house counsel where you'll be based At least 4 years of relevant legal experience, with exposure to technology, consumer or regulated products Experience advising business or product teams directly, not only other lawyers Working knowledge of at least two of: consumer protection, privacy, advertising and marketing law, technology transactions, IP, or regulated industries Curiosity about how AI products work, and the ability to pick up technical concepts quickly A habit of making a clear recommendation, even with incomplete information Comfort moving between assignments as priorities change, with no job too big or too small Clear, concise writing that non-lawyers can act on Openness to feedback and a track record of improving quickly Experience using AI tools in your legal work, or a strong interest in learning to do so Empathy and a service orientation, with a real commitment to Anthropic's mission Preferred qualifications In-house product counsel experience, or a secondment with a product team Experience with subscription businesses, promotions, or consumer billing Experience supporting enterprise SaaS or regulated customers such as healthcare or financial services Experience building playbooks, self-serve guidance or legal automation Application Deadline: 6pm PT on Friday November 13, 2026. We encourage all interested and qualified applicants to submit their materials before this date to ensure full consideration. Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $265,000 — $335,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Boston, MA; San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Safeguards team plays a critical role in ensuring our AI systems are deployed safely, responsibly, and in line with our values. As an Incident Manager, you will manage Safeguards incidents involving our AI systems from declaration through closure. You will assess severity, bring in the right people from Legal, Communications, Policy, Threat Intelligence, Security, Engineering, and research teams, keep leadership informed, and see follow-up work through. You will also oversee the Safeguards Enforcement on-call queue on a rotating basis, and help build and scale the incident response program, including runbooks, post-incident reviews, and automation of routine work. Important context for this role: in this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a violent, sexual, or psychologically disturbing nature. This role also includes after-hours and weekend incident coverage on a rotating basis. Key responsibilities Serve as incident commander for Safeguards incidents from declaration through closure Assess what qualifies as an incident, propose severity, and coordinate responders across Legal, Communications, Policy, Threat Intelligence, Security, Engineering, and research teams Keep everyone working from the same facts by tracking input from each team, establishing what is known, what has changed, and what is still open, and sending regular updates that executives and partner teams rely on Make sure Legal, Communications, and Public Policy are consulted before decisions that need them, and coordinate any external notifications Run post-incident reviews, assign action items to named owners, and track them through closure Oversee the on-call queue during your rotation as the first responder for urgent requests and escalations to Safeguards Enforcement Triage each request, resolve what you can, route the rest to the owning team, and recognize when a request is the start of an incident Take part in after-hours and weekend incident coverage on a rotating basis Scope and deliver projects that improve the incident response program, such as on-call automation, incident readiness, and post-incident reviews and metrics Draft and maintain runbooks and standard operating procedures Work with Safeguards engineers to automate or reroute requests by writing the decision rules and testing the result Maintain the incident record and the metrics that show leadership how the program is performing Minimum qualifications Experience running incidents or urgent escalations from start to finish in trust and safety, security, platform integrity, crisis management, or a comparable field, and readiness to lead high-severity incidents with support Hands-on experience with incidents where someone was abusing or misusing a product or platform, such as account compromise, fraud, or coordinated malicious activity Ability to make clear decisions under time pressure, record your reasoning, and recognize when a decision belongs to Legal, Policy, or leadership Ability to write short, accurate updates that an executive can act on and that hold up to legal and external scrutiny Experience coordinating people across many functions who do not report to you, securing their commitments, and following through on them Experience improving an operational process on your own initiative, and the ability to tell which steps need a person and which can be automated Willingness to do hands-on queue work as a regular part of the job, and to treat it as a source of information about what is breaking Ability to participate in after-hours and weekend incident coverage on a rotating basis Preferred qualifications Experience joining an incident response function early and helping write runbooks and review processes Experience with incidents involving AI systems Experience with the enforcement steps that follow an incident, such as account actions, law enforcement referrals, or user and customer notifications Experience working with threat intelligence or security investigation teams during an incident Experience with regulatory or external incident reporting and disclosure Experience running an on-call rotation or support escalation queue, including setting and measuring response targets Experience using AI tools to automate triage, summaries, or routine decisions, with checks on quality Working knowledge of SQL or similar tools for analyzing incident and queue data Experience designing and facilitating tabletop exercises Genuine interest in AI safety and responsible technology development The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $245,000 — $285,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco; Washington D.C. Perplexity is seeking an intrepid Member of Technical Staff to take on one of the AI industry's most unique engineering roles. You'll work directly with Perplexity's senior leadership to spearhead a broad portfolio of strategic technology initiatives across policy, law, operations, and corporate affairs. As a Member of Technical Staff in the Policy & Strategic Initiatives group, you'll occupy a front-row seat to the foremost policy issues animating the AI ecosystem. You'll also get a panoptic view of how leading AI companies operate, make decisions, and engage with broader society. Those seeking to marry technical expertise and broader interests in law, policy, and corporate affairs will find a home in this role. You'll make contributions to Perplexity that defy traditional boundaries, with a bench of mentors who will push you to learn and grow day after day. WHAT YOU'LL DO: Your work will be both highly interdisciplinary and firmly grounded in engineering rigor. On any given day, you might: - Harness AI agents to research high-stakes policy and regulatory issues pertaining to Perplexity. - Build automated platforms for harvesting, prioritizing, and patenting Perplexity's inventions, in collaboration with our AI researchers and intellectual property attorneys. - Work hands-on with our Legal team and outside counsel in support of high-tech litigation matters in U.S. federal court. - Engineer privacy and compliance systems that efficiently scale with our growing portfolio of frontier AI products (such as Comet https://www.perplexity.ai/comet and Computer https://www.perplexity.ai/products/computer). - Contribute to regulatory filings and responses that require impeccable command of AI technology, Perplexity's own systems, and the broader policy landscape. - Embed with our People team to implement first-party software solutions for recruiting, labor compliance, and performance management. - Participate in meetings with Capitol Hill, executive branch officials, international partners, and civil society as a subject-matter expert on both AI technology and policy. The above is a small sampling of activities; no two days will be the same, and your work will take you to all corners of our company. You'll interact each day with Perplexity's senior leaders, who will come to rely on you as a creative problem solver for simple and complex matters alike. WHO WE'RE LOOKING FOR: No single profile defines our ideal candidate for this role. Here are some examples of people who might thrive here: - Exceptionally talented early-career engineers (new grads welcome) who are (1) well-read in law, tech policy, or economics, and (2) wish to grow in both technical and non-technical disciplines. - We welcome candidates who plan to attend law school or PhD programs in the future; we ask for a minimum 2-year commitment (i.e., you would apply for the entering class of 2028 or later). - Experienced engineers at top tech companies who wish to develop policy, business, and operations chops. - Lawyers or economists (new JD or PhD grads welcome) who've kept their engineering skills sharp and are excited to reimagine their fields in the age of AI. - This is a non-exhaustive list; other profiles may also be great fits. No matter which profile describes you, we'll also be looking for: - Evidence of exceptional ability and 99th-percentile work ethic. - Strong technical skills at or above Perplexity's hiring bar for software engineers. - Fluency with frontier intelligence tools (such as Perplexity Computer https://www.perplexity.ai/products/computer). - High intrinsically-enforced standards for the craft and quality of your work. - Strong communication and writing skills, ideally demonstrated via samples of past written work product. - Curiosity and excitement about new and unfamiliar fields; eagerness to redefine your job every 3-6 months. - Ability to quickly dive deep in any given field and develop mastery rivaling that of domain experts. - Unimpeachable judgment, integrity, and discretion to be entrusted with the company's most important matters. - A service-oriented attitude that continually questions how company systems and processes might better serve stakeholders.

Location: Canada, Waterloo, ON Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Sr. Software Development Engineer In Test, ML/AI At SIE, we believe in making play safer for everyone. Within our Information Security team, we protect our people, platforms, and products with smart, scalable, and thoughtful solutions. Our mission is to provide clear, actionable risk and security insights that guide the business and enable amazing player experiences. We’re building a team that thrives on collaboration, curiosity, and delivering real value. Come help us make a difference! Overview We are hiring a Sr Software Engineer in Test specializing in ML/AI quality, including automation for model evaluation, LLM-assisted test generation, and validation of AI-powered workflows. The role includes guiding quality strategy and developing automation frameworks. You will also manage implementation for complex, cross-functional, machine learning-powered products and services. This role involves more than test development. You will lead quality initiatives from start to finish, ensuring teams stay synchronized, dependencies are managed, and releases are delivered confidently. You will work closely with ML, engineering, product, and infrastructure teams. You will shape how quality is built, monitored, and expanded while leading embedded QE efforts within projects. What you’ll do Define and complete quality strategies, test plans, and automation coverage for ML-powered services and platform components. Use LLMs and other AI-assisted techniques to generate, expand, and maintain high-value test cases for ML-powered workflows. Design scenario-based test suites for AI features, including adversarial prompts, edge cases, ambiguous inputs, and underrepresented user scenarios. Lead QE efforts for multi-functional projects, driving risk assessment, dependency management, and release readiness. Design, develop, and maintain scalable automation frameworks for backend services, APIs, and ML inference systems using Python and/or Java. Build automated validation for ML and LLM outputs, including ranking behavior, score distributions, prompt/response quality, hallucination indicators, and probabilistic model evaluation. Debug test failures, service anomalies, model inconsistencies, and AI behavior regressions to identify root causes and drive resolution. Perform functional, integration, regression, API, end-to-end, performance, and reliability testing for distributed systems. Improve automation reliability, reduce flakiness, and optimize execution efficiency. Partner with engineering and ML teams to integrate automated testing into CI/CD pipelines and release workflows. Collaborate across teams to establish scalable quality standards, tooling, and guidelines. Required qualifications Bachelor’s degree in Computer Science or equivalent 5+ years of experience as an SDET or QE engineer focused on backend and distributed systems. Experience using LLMs to generate, transform, and prioritize test cases for AI-powered experiences. Experience with AI evaluation tooling, prompt evaluation frameworks, model monitoring, or human-in-the-loop review workflows. Strong experience testing RESTful APIs, microservices, and distributed architectures. Proficiency in Python, Java, JS or similar languages for automation development. Hands-on experience with automation frameworks such as pytest, JUnit, Selenium, Playwright, Cypress, or Appium. Experience with CI/CD systems and test pipelines (Jenkins, GitHub Actions, etc.). Experience with cloud and container technologies (AWS, GCP, Kubernetes, Docker). Familiarity with databases, monitoring, and observability tools. Strong understanding of SDLC, Agile methodologies, and release processes. Excellent problem-solving, debugging, and communication skills. Preferred qualifications Experience validating ML outputs using statistical analysis or scenario-based testing approaches. Familiarity with ML infrastructure, data pipelines, or model-serving platforms (Seldon, KServe, Ray Serve, etc.). Prior work in content moderation ML, security, fraud detection, or adversarial ML. Experience testing high-scale, low-latency online services. Experience with Databricks or similar ML platform tooling. Familiarity with Node.js, React, or modern frontend technologies. Experience testing mobile, console, or other non-PC platforms. What sets you apart Strong combination of automation engineering and delivery ownership. Ability to drive quality across complex cross-functional initiatives. Practical understanding of how to test non-deterministic AI systems and separate model variance from quality regressions. Proven risk management and dependency coordination skills. Ability to influence engineering teams and promote quality guidelines. Passion for scalable, reliable, and maintainable automation systems. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $114,900 — $172,300 CAD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is looking for a Communications Lead to own external communications for the Claude Platform, our API. The Claude Platform is how many of our customers put Claude to work, and this role shapes how that work is understood beyond Anthropic: from flagship product launches to the steady cadence of capability releases and developer-facing news. You'll sit on the Product Communications team and work day to day with the Platform product and engineering teams, Product Marketing, and Developer Relations. You should understand how developers and enterprises actually build with APIs and be comfortable engaging with developer tools and hold a clear point of view on what makes a product land. Key responsibilities Own communications for the Claude Platform end to end: capability releases, product updates, and the steady cadence of developer-facing news Build and maintain strong relationships with the journalists, newsletter writers, and creators covering AI platforms, enterprise software, and the API economy Prepare Platform leaders to be effective spokespeople for press, podcasts, panels, and the smaller moments in between Partner with Product and Engineering to align external narratives with how these products are sold and supported, and surface customer feedback back to the teams who can act on it Work across press, social, owned, and community channels, with the judgment to know which one carries a given moment and when to coordinate more than one at once Minimum qualifications Experience in communications, PR, or product marketing, including meaningful time on platform, API, developer, or enterprise products An understanding of both developer culture and enterprise buying, and the judgment to read timing and tone when the conversation around AI gets noisy Strong instincts for which product moments deserve the spotlight and which don't, and genuine curiosity about what makes a launch land A demonstrated ability to operate with high agency and low ego, with a bias to action Preferred qualifications 8-10 years of experience in communications, PR, or product marketing Communications experience at a developer platform, API-first, or enterprise software company Existing relationships with reporters and analysts covering AI platforms, enterprise tech, or the developer ecosystem Experience managing communications for AI or ML products Are very online: you follow the right channels, know what's moving through Hacker News and developer social chatter, and catch things early The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $265,000 — $295,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As an Ecosystem Operations Specialist, you'll help turn GitLab's Ecosystem go-to-market strategy into reliable day-to-day execution. You'll be a trusted operational resource and first point of contact for sellers, Ecosystem Sales Managers, partners, and cross-functional teams, supporting partner business from account setup and deal registration through quoting, ordering, and post-sales operational support. You'll resolve standard issues, improve processes and data quality, and route commercial, policy, finance, legal, and systems decisions to the right owners so Ecosystem Sales Managers can focus on partner strategy, pipeline creation, and deal progression. What you'll do Execute partner-sourced and partner-influenced workflows, including intake, account and opportunity setup or linking, deal registrations, cloud co-sell referrals, validation, routing, approval follow-up, and standard issue resolution. Process partner quote requests against documented pricing and program requirements, receive purchase orders, and prepare opportunities for closure with Sales, Deal Desk, Billing, and Finance. Support marketplace and two-tier transactions involving distributors, resellers, and cloud providers. Guide partners, distributors, sellers, and Ecosystem Sales Managers through operational questions, including attribution, program compliance, and post-sales support. Identify and route exceptions requiring commercial, policy, contractual, pricing, payment, or systems decisions to the appropriate owner. Execute and improve partner program workflows, including onboarding, not-for-resale licensing, certifications, rebates, Professional Services Partner eligibility, Letters of Authorization, and channel price files. Collaborate with Programs and policy owners on required notifications, documentation, and compliance reporting. Monitor Salesforce and partner-management data for missing links, incorrect ownership, incomplete attribution, failed synchronization, and recurring defects. Support month-end close, recurring data controls, and ad hoc reporting tied to projects and company objectives and key results. Build and present dashboards and business updates on backlog, aging, turnaround time, approvals, pipeline, attribution, data quality, compliance, and process health. Share trends, risks, blockers, and recommended actions in regional and global partner team meetings. Investigate recurring friction and manual work, document root causes and operational requirements, test process or system changes, and support automation and scalable self-service improvements. Maintain process documentation, how-to guides, and best practices, and deliver office hours, operational training, and communications when processes or systems change. What you'll bring Relevant experience in partner operations, sales operations, deal desk, order management, finance operations, or a similar revenue operations environment, including direct support for sales or partner sales teams, distributors, and partners, along with an interest in GitLab and open source software. Experience with enterprise quote-to-cash processes and configure, price, quote tools or other commercial systems in a channel or partner context. Experience with Salesforce and partner-management systems or portals. Strong analytical skills, including advanced spreadsheets, dashboard building in Salesforce or business intelligence tools such as Tableau, and turning data into clear recommendations. Hands-on experience using generative artificial intelligence (AI) tools to improve operational productivity, quality, or scale, including writing effective prompts, judging when outputs need human review, and sharing useful approaches with others. Strong problem-solving skills, attention to detail, and the ability to prioritize requests, investigate issues, identify exceptions, and escalate decisions to the appropriate owner, along with experience contributing to process improvement and automation. Clear written and verbal communication, including explaining operational requirements to technical and non-technical audiences, documenting processes, creating enablement materials, and collaborating across Sales, Ecosystem, Programs, Deal Desk, Finance, Legal, Billing, and Systems. Preferred experience includes Impartner or similar tools, SQL, or Snowflake. About the team The Ecosystem team supports GitLab's partner go-to-market strategy. In this role, you'll work with Ecosystem Sales Managers, global distributors, partners, sellers, and cross-functional teams to keep partner operations moving and make process health visible. We focus on accurate transactions, reliable partner data, consistent program execution, and reducing operational friction so our Ecosystem Sales Managers can focus on partner strategy and field engagement. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $86,400 — $146,400 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. As an Intermediate Backend Engineer on the GitLab Orbit team, you'll help build and operate a graph data service that supports GitLab Duo agents, analytics, and architecture-level features across GitLab.com, Dedicated, and Self-Managed deployments. You'll join a Rust-first team that values clear ownership, thoughtful system design, and rigorous thinking about data and reliability. The Knowledge Graph service is a Rust backend that builds a property graph from GitLab’s software development lifecycle (SDLC) and code data. It uses ClickHouse, NATS JetStream, and the Data Insights Platform. It exposes secure graph queries and MCP tools used by AI agents and product features. In this role, you’ll deliver features and improvements in well-scoped areas, learn the broader architecture, and contribute to reliability, observability, and operational readiness. In your first year, you’ll take clear ownership of specific components or features (for example, parts of the SDLC indexing pipeline or query paths). You’ll help reduce single points of failure with better tests and runbooks, and you’ll help the team ship analytical services that are easier to maintain and evolve over time. What you’ll do Implement and iterate on backend features in the Rust-based Knowledge Graph service, including changes to the query engine, SDLC and code indexing flows, and API endpoints (including MCP endpoints) under guidance from senior and staff engineers. Maintain integrations between Knowledge Graph and the rest of the GitLab platform, working in areas that touch GitLab Rails, the Data Insights Platform (Siphon, NATS, ClickHouse), and GitLab Duo Agent Platform. Contribute to system design discussions by proposing options, raising questions, and documenting decisions, with a focus on reliability, scalability, and maintainability for analytical graph workloads. Improve the operational maturity of the service by adding or enhancing metrics, logging, runbooks, alerts, and small readiness tasks, and by participating in on-call rotation as appropriate for your level and experience. Collaborate asynchronously with product, data, infrastructure, security, and AI counterparts to clarify requirements, align on scope, and ship features safely for customers and sustainably for the team. Use AI-assisted development workflows responsibly (for example, using Knowledge Graph-backed agents and internal Duo tooling), and share what works with the team while keeping a strong focus on code quality and correctness. Participate in code reviews, knowledge-sharing sessions, and pairing to both learn from others and help maintain consistent standards across the codebase. Contribute across the stack when needed, including occasional Ruby work for Rails integration and authorization paths, or small frontend changes related to Knowledge Graph features (for example, Software Architecture Map UI plumbing). What you’ll bring Professional experience building and maintaining backend systems in production, with an understanding of reliability, maintainability, and how to support services over time (for example, incident response and follow-ups). Proficiency in at least one modern backend language and strong interest in Rust, with either prior Rust experience or clear evidence you can ramp quickly and deliver in a Rust-first, performance-sensitive codebase. Some exposure to distributed data or analytics systems (for example, OLAP databases, Kafka- or NATS-style messaging, or change data capture (CDC) pipelines), or strong motivation to develop those skills in this role. Interest in graph data modeling and query patterns (property graphs, multi-step (n-hop) traversals, aggregations), and willingness to learn the tools and concepts used in Knowledge Graph over time. Practical experience (or strong interest) using AI tools in day-to-day development, along with a thoughtful approach to validating outputs and integrating AI into your workflow. A language-agnostic mindset and evidence that you can pick up new languages and frameworks as needed (for example, Ruby, Go, or TypeScript/Vue where the work touches adjacent systems). Solid fundamentals in system design for your level, including the ability to reason about trade-offs, ask good questions, and align your implementation work with documented architectural decisions. Comfort working in a low-process, high-ownership environment where you take responsibility for your work, refine problem statements with teammates, and communicate progress clearly in writing across time zones in an all-remote team. About the team GitLab Orbit sits within the Data Engineering organization. We work closely with partners across AI (Duo Agent Platform), analytics, infrastructure and delivery, and security because our work spans many parts of the platform. We collaborate asynchronously rather than following a feature factory model. A key challenge for us right now is scaling sustainably as usage grows and team members take time off. That includes hardening multi-tenant behavior. At the same time, we're bringing Knowledge Graph to The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $115,200 — $162,000 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: United States Overview Smartling is an AI-native translation platform that's redefining how the world's biggest brands go global — ranked #3 on Fast Company's Most Innovative Companies list . We're growing rapidly at scale and are backed by Battery Ventures, a global technology-focused investment firm. While most companies are still figuring out how to use AI, we've spent years building it into the core of our platform — and we're just getting started. The Web Integrations Support Engineer is part of the Professional Services team at Smartling. The mission of the team is to help customers rapidly integrate Smartling solutions in a way that is sustainable and scalable. You will be responsible for ongoing maintenance of customer integrations based on Smartling’s GDN (web proxy) solution to ensure that the integration continues to meet customer needs as their sites change over time. We are looking for a professional with a track record of successfully supporting enterprise-grade technical solutions, who can communicate complex concepts and ideas effectively, and who takes a systematic troubleshooting approach when dealing with live customer issues. We are currently considering candidates based in the Pacific and Mountain time zones. You Will Own customer tickets end to end, with clear written root-cause explanations and next steps Run troubleshooting sessions and workshops with customer engineering teams, advising them on integration best practices Escalate to and collaborate with Engineering with clear reproduction steps when an issue needs a product fix Build scripts and tooling, to make diagnosis and configuration faster and safer Work with technical and business stakeholders to understand requirements and recommend sustainable solutions Make changes to live production configuration with care: testing safely, planning for rollback, and telling customers what changed and why Act with precision and urgency when customers are affected, and manage changing scope and ambiguity without losing momentum Keep learning about new web technologies and contribute to process and tooling improvements You Have A bachelor's degree in Computer Science, Engineering or a related field, or equivalent practical experience 2+ years in a customer-facing technical role such as Support Engineer, Solutions or Technical Consultant, or similar, focused on technical troubleshooting, solution design or implementation 2+ years of hands-on experience with HTTP, HTML, CSS (including writing robust selectors), JavaScript and REST APIs Strong skills with browser DevTools and network debugging, and an understanding of how pages are built and rendered in the browser Working knowledge of proxies, CDNs, web servers, DNS/TLS and caching, plus web security basics (CSP, CORS, cookies, WAFs) Comfort with regular expressions, plus the ability to write scripts (JavaScript, Python or Bash) Experience diagnosing issues from logs and request traces (Quickwit, Grafana, Kibana, Splunk or similar) A methodical, hypothesis-driven approach to complex problems Excellent written and spoken communication, with the ability to advise and persuade both technical and non-technical audiences The ability to drive outcomes despite complexity, ambiguity or shifting priorities Preferred but not required Experience with modern front-end frameworks (React, Next.js, Vue) and client-side rendering Familiarity with CMS platforms (e.g., AEM, Sitecore, WordPress, Contentful) Hands-on experience with Nginx or similar proxy and web server configuration Knowledge of SEO fundamentals (hreflang, canonical tags, sitemaps) Experience with translation, localization and internationalization, including awareness of RTL and CJK languages, character encoding and locale formatting, and/or fluency in multiple languages Software development experience You Will Enjoy Freedom 🏡 - we are remote-first Growth  - an opportunity to learn and advance your career Wealth 💰 - we offer a competitive salary and 401(k) + company match Wellness - health insurance; free medical plan for you and your family Balance - flexible PTO + 11 holidays; generous parental leave Culture 🤝- an energetic, value-driven, and fun culture and team spirit Bonus - employee referral program and Apple equipment Smartling is proud to be an equal-opportunity employer. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, skills, and experiences. We use the E-Verify platform for work authorization verifications. The US national total pay range for this role is $90,000 - $110,000. Final offer amounts are determined by multiple factors, including geographic location as well as candidate experience and expertise, and may vary from the amounts listed. *To work from home, you must have a strong internet connection, a quiet space, and a professional (distraction and clutter-free) background.

Location: United States Overview Smartling is an AI-native translation platform that's redefining how the world's biggest brands go global — ranked #3 on Fast Company's Most Innovative Companies list . We're growing rapidly at scale and are backed by Battery Ventures, a global technology-focused investment firm. While most companies are still figuring out how to use AI, we've spent years building it into the core of our platform — and we're just getting started. The Solution Architect/Technical Implementation Manager is part of the Professional Services team at Smartling. The mission of the team is to help customers rapidly integrate Smartling solutions in a way that is sustainable and scalable. As a Solution Architect, you are the hands-on advisor, technical expert, and problem solver. You will be leading various technical integrations and implementations, solving the most challenging problems in the content localization space, and designing sustainable solutions to support our customers’ growing localization needs. The Solution Architect is an Engineering-adjacent role. Accordingly, a strong technical background is required for this role.  We are looking for a professional who has a track record of successfully designing and implementing enterprise-grade technical solutions, who communicates complex concepts and ideas effectively, and who demonstrates creativity in solving challenging problems for customers. We are considering candidates based in the East and Central time zones only at this time. You Will Interact with both technical and business users to gather requirements, analyze information, and design comprehensive and scalable solutions Effectively and proactively manage process changes with business and technical stakeholders to drive implementations forward Act with precision and urgency to provide customers with best-in-class support, and lead workshops and troubleshooting sessions with customer technical teams to resolve complex issues Continuously articulate best practices to encourage optimal integration and platform adoption, laying the foundation for the long-term success of customers Stay curious about new technologies, develop new tools, and contribute to process improvement You Have A bachelor's degree in Computer Science, Engineering or a related field, or equivalent practical experience 3+ years of relevant experience as a Solution Architect, Technical Consultant, or in a similar customer-facing role that focuses on technical solution design and implementation Strong analytical skills when it comes to complex problems, and are not intimidated by technical challenges 2+ years of applied experience with modern web technologies (e.g. HTTP, HTML, CSS and JavaScript), and REST APIs Excellent communication skills with the capability to advise/persuade technical and non-technical stakeholders Ability to drive outcomes despite complexity, ambiguity or changing scope Familiarity with at least one programming/scripting language and able to read/write scripts A home office setup conducive for working remotely, and ability to work effectively as a remote team member* Preferred but not required Knowledge of Content Delivery Networks (CDN), web servers, and proxy technologies such as Nginx Familiarity with Content Management Systems (CMS) Software development experience Experience with file engineering and regular expressions Hands-on experience with Splunk, Kibana or similar technologies Experience with translation, localization, and internationalization processes and/or fluency in multiple languages You Will Enjoy Freedom 🏡 - we are remote-first Growth  - an opportunity to learn and advance your career Wealth 💰 - we offer a competitive salary and 401(k) + company match Wellness - health insurance; free medical plan for you and your family Balance - flexible PTO + 11 holidays; generous parental leave Culture 🤝- an energetic, value-driven, and fun culture and team spirit Bonus - employee referral program and Apple equipment Smartling is proud to be an equal-opportunity employer. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, skills, and experiences. We use the E-Verify platform for work authorization verifications. The US national total pay range for this role is $100,000-$120,000. Final offer amounts are determined by multiple factors, including geographic location as well as candidate experience and expertise, and may vary from the amounts listed. *To work from home, you must have a strong internet connection, a quiet space, and a professional (distraction- and clutter-free) background.

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: Grafana Labs is looking for a technically fluent engineer who loves building powerful demos, explaining complex systems clearly, and helping SRE and platform engineering leaders understand the value of our open approach to observability. As Grafana’s offering shifts from dashboards to industry-leading agentic observability, our Product Marketing team is responsible for closing the gap between what our products can do and how customers understand that value. That means building clear, consistent positioning, enabling sellers with trustworthy technical narratives, and creating content that helps Platform Engineering teams quickly grasp why Grafana Cloud is the right choice for them. As a Technical Product Marketer you will play a critical part in that transformation. You’ll be the hands-on engineer who brings our technical story to life for buyers, not just practitioners. You’ll build core demos, run technical workshops and webinars, and act as the technical bridge between our Product and Sales orgs. Your work will help SRE and platform engineering leaders evaluate Grafana with confidence, equip sales engineers with better tools and talk tracks, and ensure our technical value shows up clearly and consistently across the entire customer journey. This is a unique chance to shape how Grafana tells its story as we evolve our positioning in the AI era, strengthen seller enablement, and build a repeatable system for communicating product value. What You'll Be Doing: Build strategic, buyer-focused demos, videos, workshops, and webinars Create and maintain polished, narrative-driven demos that highlight Grafana’s value for SRE and platform engineering leaders. Record high-quality technical demo videos and walkthroughs in partnership with our video and content teams. Lead webinars, workshops, and technical sessions designed for evaluators. Teach customers not just how Grafana works, but why our approach is differentiated and valuable. Use AI tools to generate variations, summaries, and reusable assets that scale technical content across channels. Enable Solutions (Sales) Engineers with clear, consistent technical storytelling Serve as PMM’s technical liaison to the SE org, ensuring consistent messaging and demo guidance. Produce technical enablement assets, value-driven talk tracks, competitive narratives, and demo best practices. Help SEs and sellers communicate Grafana’s story with clarity, confidence, and differentiation. Collaborate with PMMs to drive technical buyer engagement across high-impact channels Partner with PMMs to identify the most important buyer personas, problems, and technical messages, and help shape the content strategy needed to reach them. Extend technical narratives into impactful buyer-facing channels including analyst briefings (Gartner, Forrester), industry forums, podcasts, conferences, and online technical communities. Bring a technical perspective to PMM planning—helping ensure our content, campaigns, and enablement reflect the real challenges and priorities of SREs and engineering leaders. Use automation & AI to scale technical content Partner with software engineers to streamline demo setup, content workflows, and asset updates through workflows, agents, scripts, and AI-driven tools. Use automation to make technical content more repeatable, discoverable, and scalable across teams. What Makes You a Great Fit: 5+ years in a technical role (solutions engineering, SRE, DevOps, backend engineering, technical PMM, or similar). Interest and ability to travel to training and customer events 10-12 weeks per year. Strong understanding of observability concepts and the needs of SRE/platform teams. Ability to translate deep technical concepts into clear, value-focused stories. Experience presenting technical content through demos, workshops, or webinars. Excellent written and verbal communication, with a crisp, structured, persuasive style. Strong cross-functional collaboration; comfort working with PMM, Product, SEs, DevRel, and Field Engineering. High ownership mindset with the ability to drive projects from concept to completion. Comfort with light scripting or workflow automation. Bonus Points For: Hands-on experience with Grafana, Prometheus, Loki, Mimir, Tempo, or similar observability tools, or a background in Observability or Platform Engineering. Prior experience in Sales Engineering, DevRel, or technical product marketing. Familiarity with demo environment automation or infrastructure-as-code tools. Exceptional live presentation or workshop facilitation skills. Compensation & Rewards: In the US, the base compensation range for this role is $183,858 - $220,630. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: United Kingdom (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: Grafana Labs is looking for a technically fluent engineer who loves building powerful demos, explaining complex systems clearly, and helping SRE and platform engineering leaders understand the value of our open approach to observability. As Grafana’s offering shifts from dashboards to industry-leading agentic observability, our Product Marketing team is responsible for closing the gap between what our products can do and how customers understand that value. That means building clear, consistent positioning, enabling sellers with trustworthy technical narratives, and creating content that helps Platform Engineering teams quickly grasp why Grafana Cloud is the right choice for them. As a Technical Product Marketer you will play a critical part in that transformation. You’ll be the hands-on engineer who brings our technical story to life for buyers, not just practitioners. You’ll build core demos, run technical workshops and webinars, and act as the technical bridge between our Product and Sales orgs. Your work will help SRE and platform engineering leaders evaluate Grafana with confidence, equip sales engineers with better tools and talk tracks, and ensure our technical value shows up clearly and consistently across the entire customer journey. This is a unique chance to shape how Grafana tells its story as we evolve our positioning in the AI era, strengthen seller enablement, and build a repeatable system for communicating product value. What You'll Be Doing: Build strategic, buyer-focused demos, videos, workshops, and webinars Create and maintain polished, narrative-driven demos that highlight Grafana’s value for SRE and platform engineering leaders. Record high-quality technical demo videos and walkthroughs in partnership with our video and content teams. Lead webinars, workshops, and technical sessions designed for evaluators. Teach customers not just how Grafana works, but why our approach is differentiated and valuable. Use AI tools to generate variations, summaries, and reusable assets that scale technical content across channels. Enable Solutions (Sales) Engineers with clear, consistent technical storytelling Serve as PMM’s technical liaison to the SE org, ensuring consistent messaging and demo guidance. Produce technical enablement assets, value-driven talk tracks, competitive narratives, and demo best practices. Help SEs and sellers communicate Grafana’s story with clarity, confidence, and differentiation. Collaborate with PMMs to drive technical buyer engagement across high-impact channels Partner with PMMs to identify the most important buyer personas, problems, and technical messages, and help shape the content strategy needed to reach them. Extend technical narratives into impactful buyer-facing channels including analyst briefings (Gartner, Forrester), industry forums, podcasts, conferences, and online technical communities. Bring a technical perspective to PMM planning—helping ensure our content, campaigns, and enablement reflect the real challenges and priorities of SREs and engineering leaders. Use automation & AI to scale technical content Partner with software engineers to streamline demo setup, content workflows, and asset updates through workflows, agents, scripts, and AI-driven tools. Use automation to make technical content more repeatable, discoverable, and scalable across teams. What Makes You a Great Fit: 5+ years in a technical role (solutions engineering, SRE, DevOps, backend engineering, technical PMM, or similar). Interest and ability to travel to training and customer events 10-12 weeks per year. Strong understanding of observability concepts and the needs of SRE/platform teams. Ability to translate deep technical concepts into clear, value-focused stories. Experience presenting technical content through demos, workshops, or webinars. Excellent written and verbal communication, with a crisp, structured, persuasive style. Strong cross-functional collaboration; comfort working with PMM, Product, SEs, DevRel, and Field Engineering. High ownership mindset with the ability to drive projects from concept to completion. Comfort with light scripting or workflow automation. Bonus Points For: Hands-on experience with Grafana, Prometheus, Loki, Mimir, Tempo, or similar observability tools, or a background in Observability or Platform Engineering. Prior experience in Sales Engineering, DevRel, or technical product marketing. Familiarity with demo environment automation or infrastructure-as-code tools. Exceptional live presentation or workshop facilitation skills. Compensation & Rewards: In the UK, the base compensation range for this role is GBP 103,958 - GBP 124,750 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Sweden (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: Grafana Labs is looking for a technically fluent engineer who loves building powerful demos, explaining complex systems clearly, and helping SRE and platform engineering leaders understand the value of our open approach to observability. As Grafana’s offering shifts from dashboards to industry-leading agentic observability, our Product Marketing team is responsible for closing the gap between what our products can do and how customers understand that value. That means building clear, consistent positioning, enabling sellers with trustworthy technical narratives, and creating content that helps Platform Engineering teams quickly grasp why Grafana Cloud is the right choice for them. As a Technical Product Marketer you will play a critical part in that transformation. You’ll be the hands-on engineer who brings our technical story to life for buyers, not just practitioners. You’ll build core demos, run technical workshops and webinars, and act as the technical bridge between our Product and Sales orgs. Your work will help SRE and platform engineering leaders evaluate Grafana with confidence, equip sales engineers with better tools and talk tracks, and ensure our technical value shows up clearly and consistently across the entire customer journey. This is a unique chance to shape how Grafana tells its story as we evolve our positioning in the AI era, strengthen seller enablement, and build a repeatable system for communicating product value. What You'll Be Doing: Build strategic, buyer-focused demos, videos, workshops, and webinars Create and maintain polished, narrative-driven demos that highlight Grafana’s value for SRE and platform engineering leaders. Record high-quality technical demo videos and walkthroughs in partnership with our video and content teams. Lead webinars, workshops, and technical sessions designed for evaluators. Teach customers not just how Grafana works, but why our approach is differentiated and valuable. Use AI tools to generate variations, summaries, and reusable assets that scale technical content across channels. Enable Solutions (Sales) Engineers with clear, consistent technical storytelling Serve as PMM’s technical liaison to the SE org, ensuring consistent messaging and demo guidance. Produce technical enablement assets, value-driven talk tracks, competitive narratives, and demo best practices. Help SEs and sellers communicate Grafana’s story with clarity, confidence, and differentiation. Collaborate with PMMs to drive technical buyer engagement across high-impact channels Partner with PMMs to identify the most important buyer personas, problems, and technical messages, and help shape the content strategy needed to reach them. Extend technical narratives into impactful buyer-facing channels including analyst briefings (Gartner, Forrester), industry forums, podcasts, conferences, and online technical communities. Bring a technical perspective to PMM planning—helping ensure our content, campaigns, and enablement reflect the real challenges and priorities of SREs and engineering leaders. Use automation & AI to scale technical content Partner with software engineers to streamline demo setup, content workflows, and asset updates through workflows, agents, scripts, and AI-driven tools. Use automation to make technical content more repeatable, discoverable, and scalable across teams. What Makes You a Great Fit: 5+ years in a technical role (solutions engineering, SRE, DevOps, backend engineering, technical PMM, or similar). Interest and ability to travel to training and customer events 10-12 weeks per year. Strong understanding of observability concepts and the needs of SRE/platform teams. Ability to translate deep technical concepts into clear, value-focused stories. Experience presenting technical content through demos, workshops, or webinars. Excellent written and verbal communication, with a crisp, structured, persuasive style. Strong cross-functional collaboration; comfort working with PMM, Product, SEs, DevRel, and Field Engineering. High ownership mindset with the ability to drive projects from concept to completion. Comfort with light scripting or workflow automation. Bonus Points For: Hands-on experience with Grafana, Prometheus, Loki, Mimir, Tempo, or similar observability tools, or a background in Observability or Platform Engineering. Prior experience in Sales Engineering, DevRel, or technical product marketing. Familiarity with demo environment automation or infrastructure-as-code tools. Exceptional live presentation or workshop facilitation skills. Compensation & Rewards: In Sweden, the base compensation range for this role is SEK 878,578 - SEK 1,054,294. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Spain (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: Grafana Labs is looking for a technically fluent engineer who loves building powerful demos, explaining complex systems clearly, and helping SRE and platform engineering leaders understand the value of our open approach to observability. As Grafana’s offering shifts from dashboards to industry-leading agentic observability, our Product Marketing team is responsible for closing the gap between what our products can do and how customers understand that value. That means building clear, consistent positioning, enabling sellers with trustworthy technical narratives, and creating content that helps Platform Engineering teams quickly grasp why Grafana Cloud is the right choice for them. As a Technical Product Marketer you will play a critical part in that transformation. You’ll be the hands-on engineer who brings our technical story to life for buyers, not just practitioners. You’ll build core demos, run technical workshops and webinars, and act as the technical bridge between our Product and Sales orgs. Your work will help SRE and platform engineering leaders evaluate Grafana with confidence, equip sales engineers with better tools and talk tracks, and ensure our technical value shows up clearly and consistently across the entire customer journey. This is a unique chance to shape how Grafana tells its story as we evolve our positioning in the AI era, strengthen seller enablement, and build a repeatable system for communicating product value. What You'll Be Doing: Build strategic, buyer-focused demos, videos, workshops, and webinars Create and maintain polished, narrative-driven demos that highlight Grafana’s value for SRE and platform engineering leaders. Record high-quality technical demo videos and walkthroughs in partnership with our video and content teams. Lead webinars, workshops, and technical sessions designed for evaluators. Teach customers not just how Grafana works, but why our approach is differentiated and valuable. Use AI tools to generate variations, summaries, and reusable assets that scale technical content across channels. Enable Solutions (Sales) Engineers with clear, consistent technical storytelling Serve as PMM’s technical liaison to the SE org, ensuring consistent messaging and demo guidance. Produce technical enablement assets, value-driven talk tracks, competitive narratives, and demo best practices. Help SEs and sellers communicate Grafana’s story with clarity, confidence, and differentiation. Collaborate with PMMs to drive technical buyer engagement across high-impact channels Partner with PMMs to identify the most important buyer personas, problems, and technical messages, and help shape the content strategy needed to reach them. Extend technical narratives into impactful buyer-facing channels including analyst briefings (Gartner, Forrester), industry forums, podcasts, conferences, and online technical communities. Bring a technical perspective to PMM planning—helping ensure our content, campaigns, and enablement reflect the real challenges and priorities of SREs and engineering leaders. Use automation & AI to scale technical content Partner with software engineers to streamline demo setup, content workflows, and asset updates through workflows, agents, scripts, and AI-driven tools. Use automation to make technical content more repeatable, discoverable, and scalable across teams. What Makes You a Great Fit: 5+ years in a technical role (solutions engineering, SRE, DevOps, backend engineering, technical PMM, or similar). Interest and ability to travel to training and customer events 10-12 weeks per year. Strong understanding of observability concepts and the needs of SRE/platform teams. Ability to translate deep technical concepts into clear, value-focused stories. Experience presenting technical content through demos, workshops, or webinars. Excellent written and verbal communication, with a crisp, structured, persuasive style. Strong cross-functional collaboration; comfort working with PMM, Product, SEs, DevRel, and Field Engineering. High ownership mindset with the ability to drive projects from concept to completion. Comfort with light scripting or workflow automation. Bonus Points For: Hands-on experience with Grafana, Prometheus, Loki, Mimir, Tempo, or similar observability tools, or a background in Observability or Platform Engineering. Prior experience in Sales Engineering, DevRel, or technical product marketing. Familiarity with demo environment automation or infrastructure-as-code tools. Exceptional live presentation or workshop facilitation skills. Compensation & Rewards: In Spain, the base compensation range for this role is EUR 94,025 - EUR 112,830. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .