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Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma helps teams turn ideas into products. Our Customer Operations & Support team helps customers use Figma and brings customer needs into operational and product decisions. As a Technical Operations & Insights Analyst, you will help shape where Support invests and how it scales. Reporting to the Manager of Workforce Management & Data Insights, you will combine hands-on analysis with metric development and cross-functional program leadership. You will identify opportunities across channel effectiveness, education, automation, and product improvements; assess their potential; and recommend priorities based on customer outcomes, quality, capacity, and cost. You will lead the work that turns those recommendations into measurable outcomes. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Identify and size opportunities to improve customer outcomes and operating efficiency. Turn ambiguous questions into investment recommendations, including when to proceed, test, defer, or stop Develop trusted measures, including cost per support interaction. Agree definitions, cost allocation, exclusions, and ownership with operational and financial partners Use SQL and Python or R to build reproducible analyses, data models, and reporting. Use git, peer review, and responsible AI-assisted workflows to develop, validate, and document the work Apply statistical inference to operational decisions, including observational comparisons, uncertainty, and sensitivity analysis. Explain the assumptions and limits of the evidence Build scenarios that connect costs, benefits, capacity, and customer outcomes. Partner with Finance to evaluate investment tradeoffs and define how results will be measured Lead cross-functional analytical programs from scope through delivery, adoption, and outcome review. Establish owners, milestones, dependencies, and decision points with partner teams Communicate complex findings through clear writing and purposeful visualizations that make recommendations, tradeoffs, and uncertainty understandable Build adoption and sustained use into delivery through documentation, appropriate data-quality checks, and agreed ongoing ownership We’d love to hear from you if you have: 5+ years in analytics, strategy and operations, or a related analytical role, with a track record of influencing operational decisions Strong SQL and hands-on Python or R, working reproducibly with git and peer review, plus practical fluency with AI-assisted tools, including validating their output and owning the result Sound statistical and financial judgment: developing metrics, evaluating observational comparisons and uncertainty, and building basic scenarios that clarify costs, benefits, and tradeoffs A record of delivering cross-functional work from scope through adoption, including aligning stakeholders with conflicting priorities and challenging assumptions with evidence and respect Strong written, verbal, and visual communication, including concise data storytelling for senior leaders and creative approaches to framing complex problems While it’s not required, it’s an added plus if you also have: Customer support, customer experience, service operations, or cost-to-serve analytics Experience with dbt, Snowflake, Hex, or comparable analytical toolsets Experiment design, automation measurement, or evaluation of changes to customer workflows Deeper financial modeling, workforce planning, or coaching other analysts Experience designing in Figma At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $140,000 — $245,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: Sydney, Australia 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 a Transaction Principal for Australia at Anthropic, you'll drive the commercial sourcing and transaction execution process for our Australian data center capacity deals. You'll lead RFP processes, negotiate term sheets, and serve as the central leader ensuring seamless stakeholder alignment from initial sourcing through lease execution. This role is critical to securing the infrastructure that powers Anthropic's frontier AI systems in the region — you'll bridge commercial negotiations with complex internal coordination across legal, finance, engineering, and network teams, and partner closely with our Compute Markets team who own the Australia market strategy and government relationships. This is not an established leasing org; you'll be building process alongside execution. Responsibilities: Lead the RFP and commercial sourcing process for Australian data center deals, managing developer outreach, proposal evaluation, and competitive selection Negotiate term sheets and manage the LOI process, structuring commercial terms that meet Anthropic's technical and business requirements while maintaining strong developer partnerships Create the bridge from LOI to executed transaction, ensuring all commercial, technical, and legal requirements are satisfied for deal closure Serve as project manager for cross‑functional stakeholder engagement — coordinating due diligence teams, internal and external legal counsel, network organization, platform engineers, and finance to ensure alignment prior to lease execution Act as the single point of contact for auxiliary organizations including networks, deployments, and government relations, providing regular updates on transaction progress and leasing status Develop and maintain transaction timelines, tracking critical‑path items and proactively identifying risks that could impact deal closure Ensure all stakeholder requirements are captured and addressed in commercial agreements, translating technical and operational needs into contractual terms Manage complex digital infrastructure development activities to a construction‑ready state, through a developer or directly Marry the right projects, capital stacks, and developers at the right stages Document and refine transaction processes and playbooks to enable scalable deal execution as Anthropic expands its infrastructure footprint in region Partner with the Compute Markets Manager to prioritize sites and counterparties, and feed deal learnings back into Australia market strategy You may be a good fit if you: Have 10+ years of experience in transaction management, commercial real estate, data center leasing, or infrastructure procurement Possess a proven track record of managing complex, multi‑stakeholder transactions from sourcing through execution Have strong negotiation skills with experience structuring term sheets, LOIs, and commercial agreements Excel at project management and can coordinate across legal, technical, finance, and operational teams simultaneously Have experience with RFP processes and competitive sourcing for large‑scale infrastructure or real estate transactions Have experience working in or with Australian markets, with knowledge of the local real estate and development landscape Are highly organized with strong attention to detail while maintaining focus on strategic deal objectives Can operate effectively in fast‑paced, ambiguous environments where processes are being built alongside execution Demonstrate exceptional communication skills and can coordinate effectively across time zones with HQ‑based teams and external partners It's a bonus if you: Have experience with data center or hyperscale infrastructure transactions specifically Come from the development side of the industry rather than traditional brokerage/leasing — you understand how DC development works and how value is created (yield‑on‑cost, cap rates, development fees) Understand technical requirements for AI/ML workloads including power density, cooling, and network connectivity Have worked with legal teams on complex lease negotiations or infrastructure agreements Understand utility coordination, power procurement, or energy considerations in data center transactions, particularly in the Australian context (NEM, grid connection) Have relationships within the Australian data center developer and broker ecosystem Have a background in corporate development, strategic partnerships, or infrastructure investment Have experience in high‑growth technology companies managing infrastructure expansion 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE As AI agents redefine software development, Docker is at the center of that shift, providing the local and cloud sandboxed environments that make interactive and autonomous agentic workflows trustworthy by default. At the heart of our trust model is the fact that user credentials and other sensitive secrets are injected at the sandbox layer and never exposed to an agent. An agent can never leak secrets it never sees. The Secrets team builds the software that makes that possible, from easy-to-use SDKs to secure cloud services to high-performance network proxies. We operate at the intersection of the developer experience, enterprise governance, and security – delivering core security features that make Docker sandboxes the best way to run agents and other workloads safely. As a Staff Software Engineer on the Secrets team, you’ll design and build core security systems that power Docker’s agentic platform and AI governance products. Your work will focus on creating scalable, reliable, and secure software that enables developers to safely run agentic workloads while allowing administrators to confidently manage their organization’s security posture. The successful candidate is a technical, product-minded engineer with deep experience building secure software and scale-out cloud services and a track record of shipping critical infrastructure. They think naturally about isolation and security boundaries, understand the tradeoffs involved in running untrusted or semi-trusted workloads safely, and can reason confidently about a system that spans multiple surface areas. If you thrive on solving security and usability challenges, are enthusiastic about agentic development but conscious of the risks it entails, and want to help shape the future of Docker’s platform, we’d love to hear from you. Please note: this role is currently prioritizing candidates currently located in the Western time zone (US or Canada). _______________________________________________________________________ RESPONSIBILITIES - Design, develop, and lead improvements to the secrets management and credential injection systems. - Investigate and resolve security, correctness, performance, and stability issues across cloud, macOS, Windows, and Linux. - Collaborate with peers, Product, and adjacent teams to evolve the architecture as requirements grow. - Mentor engineers on the team and set the bar in design reviews and code reviews. - Engage with the open source and agentic development community around sandboxing, MCP, and related ecosystems. - Participate in on-call rotations and respond to critical stability issues affecting users. - Document your work clearly and share knowledge with the rest of the team. _______________________________________________________________________ QUALIFICATIONS REQUIRED - 8+ years of software engineering experience, with demonstrated technical leadership on production systems at scale. - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience - Experience building developer tools, desktop applications, or runtime infrastructure used directly by developers. - Familiarity with the agentic software development ecosystem: how coding agents work and how tools like Claude Code, Codex, or similar agents interact with their environment. - Ability to reason about isolation and security boundaries: what a sandbox should and shouldn't expose, and how to make safe defaults obvious to users. - Experience driving architecture and technical strategy across multiple engineers or teams. - Strong written and verbal communication skills. - Comfortable working with a high degree of autonomy in a remote-first environment. PREFERRED - Strong proficiency in Go, Rust, and/or Java - Experience with cryptographic key management systems and techniques (key wrapping, HSMs, cloud KMSes, etc.) - Familiarity with best practices for protecting credentials and secret material at-rest and in transit - Understanding of networking, TLS, HTTP, and the like. - Understanding of one or more OS-specific credential management capabilities. Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. United States: $170,350 – $275,550 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: India - Remote About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Technical Delivery Lead, Emerging Role: Technical Delivery Lead, Emerging Location: India Experience Level: 12+ years in software engineering or technical consulting, including 5+ years leading enterprise data or AI delivery Work Model: Full-time; India-based, working with distributed teams across the United States, India, and Latin America Reports To: Head of AI Delivery Why Join Turing Intelligence? Turing Intelligence builds and deploys production AI systems for enterprise clients. Our delivery teams work directly in client environments, translating high-value business problems into reliable systems that can operate at enterprise scale. The Emerging portfolio spans consumer goods, supply chain, real estate, manufacturing, media, and other complex operating environments. This role ensures that multiple concurrent engagements reach production on time, meet their commercial commitments, and create the confidence required to earn follow-on work. This is a high-ownership role for a technical delivery leader who can move between architecture, staffing, delivery health, and commercial decisions. Engagement managers own the client relationship; you will own how the work is engineered, staffed, reviewed, and recovered when delivery moves off plan. As the Technical Delivery Lead, Emerging, You Will Own Portfolio Delivery Health Establish a clear operating view across every active engagement, including delivery status, burn against plan, margin, staffing, technical risks, and client commitments. Identify issues early, intervene directly, and ensure recovery plans have accountable owners and measurable outcomes. Assure Architecture and Production Readiness Set and enforce the technical review bar for production AI systems. Review architecture across retrieval, orchestration, evaluation, guardrails, observability, scalability, and security, and ensure every proposed SOW receives appropriate technical review before signature. Lead Distributed Forward-Deployed Teams Build staffing plans for each active SOW, allocate engineers across competing priorities, reduce avoidable bench time through redeployment, and hire and calibrate engineers against a consistently high bar. Lead teams distributed across the United States, India, and Latin America. Shape Scope, Estimation, and Commercial Commitments Partner with pre-sales and engagement leaders on scoping, estimation, delivery plans, and change control. Challenge assumptions before commitments are made, protect delivery margin, and ensure client expectations match the work that can be staffed and delivered. Turn Delivery into Platform Leverage Work with the Chief AI Architect and platform leaders to apply shared architecture and evaluation standards, identify reusable components, and turn successful engagement work into capabilities that improve future delivery. How Success Will Be Measured First 90 Days Create a delivery-health baseline for every Emerging account, including status, burn against plan, margin, and material risks. Put an FDE staffing plan in place for every active SOW and establish a technical review before every new SOW is signed. First Year Maintain Emerging delivery gross margin at or above 40%, prevent avoidable client escalations from reaching the GM without warning, reduce bench time through active redeployment, and contribute at least two reusable components to the Enterprise AI platform. The Anti-Sell Portfolio-level accountability: This is not a single-project delivery role. You will oversee several engagements with different clients, technical risks, staffing constraints, and commercial commitments at the same time. Hands-on technical leadership: This is not a PMO or governance-only position. You must be able to inspect architecture, challenge technical decisions, and guide teams through production issues. Candidates without recent hands-on engineering judgment are unlikely to be successful. Commercial accountability: Delivery quality and margin are inseparable in this role. You will be expected to challenge weak estimates, manage change, redeploy capacity, and make difficult tradeoffs when client demand exceeds the funded scope. Client-facing pressure: You will step into troubled engagements, surface uncomfortable facts early, and work with engagement leaders to reset plans without damaging client trust. Distributed execution: The portfolio relies on teams across multiple regions and time zones. You must be comfortable making staffing and delivery decisions across the United States, India, and Latin America. Our Technical Delivery Leaders Typically Have Enterprise delivery leadership: 12+ years in software engineering or technical consulting, including 5+ years leading enterprise data or AI delivery. Portfolio and margin ownership: A track record of owning delivery outcomes and commercial performance across a portfolio of client accounts—not only a single project. Recent production AI experience: Direct responsibility for shipping GenAI or machine-learning systems to production within the last two years. Technical depth: Strong working knowledge of LLM and agentic architectures, including retrieval, orchestration, evaluation, guardrails, observability, and production operations. Delivery and commercial discipline: Experience with estimation, technical SOW review, staffing plans, change control, delivery recovery, and managing to a P&L. Leadership across seams: The ability to align engagement managers, pre-sales, architects, and distributed engineering teams while maintaining clear accountability for technical delivery. Top-Tier Candidates Will Have Experience leading forward-deployed or client-embedded engineering teams in an AI, data, or technology-services organization. Experience in consumer goods, supply chain, real estate, manufacturing, media, or another operationally complex enterprise environment. A record of turning client-specific delivery work into reusable platform components, delivery accelerators, or technical standards. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

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: Product Marketing at Grafana Labs lives in the Product org, not the Marketing org, and we think differently about the job. As Grafana's offering shifts from dashboards to observability agents, our team closes the gap between what our products can do and how customers understand that value. We build clear, consistent positioning, run marketing campaigns that attract new customers, and create content that helps engineering teams see why Grafana Cloud is the right choice for them. Rather than only executing launches and campaigns, we teach Grafana’s product managers and engineers how to think about growth and demand. We also codify product marketing knowledge into AI-forward tools and processes that anyone at Grafana can use. For example, we all contribute product information to a shared knowledge base, which we use to generate enablement materials and decks. The Operations Manager keeps the Product Marketing system running and makes it better. You'll track how our work performs and report on it to the team every week, experiment with new AI workflows, and maintain the collateral and tools the team and the field depend on, so the sales team is fully supported in positioning our products. You'll work closely with the team's software engineers: you test ideas like sales deck generators or tools for competitive analysis, script prototypes, and define what good output looks like, and they turn the best ideas into production tools. You'll also coordinate with the field, Enablement, and Marketing so we understand each other's goals and make progress on shared initiatives. For this role you don't need to be a product marketer but you should have experience working inside a Product or Marketing organization for a software company. Since we don’t have an operations manager yet, you’ll also help to shape your own role. You should arrive with a desire to find and solve imperfectly-defined problems. What You'll Be Doing: Projects and Cross-Functional Initiatives : Drive cross-functional initiatives that align with product marketing strategies across GTM, Product, and Marketing teams. Own follow-ups, task tracking, and on-time completion. Cross-Team Coordination : Coordinate with the field, Enablement, and Marketing teams so we understand each other's goals and priorities. Track shared initiatives, and coordinate enablement activities with the Enablement team. Analytics and Reporting : Track the product marketing team's key metrics, such as how our content, enablement sessions, and launches perform and who uses them. Interpret and report on them to the team every week. AI Experimentation and Prototyping : Try out new AI workflows and tools, using AI to write scripts and checking that they work. Decide what good output looks like and codify that judgment in evaluations, working alongside the software engineers on our team as they refine and deploy tools. Hand the most promising prototypes to engineers to make production-ready. For example, you might test a deck generator with sellers, write evals for it, and communicate about it internally. Collateral Management : Maintain the team's most important collateral, including core decks, positioning content, and enablement sessions. Keep it accurate and current, share it widely, and make sure sellers know where to find it and how to use it. Knowledge Base Stewardship : Help keep our shared product knowledge base complete and current. Spot missing or stale information, chase down the owners, and improve the processes that keep it up to date. What Makes You a Great Fit: 2+ years in an operations, analytics, enablement, or technical support role within a Product or Marketing organization for a software company. Strong analytical judgment: you use AI and other tools to pull data, check the results instead of taking them at face value, and turn the numbers into clear recommendations Proficiency with AI agents, including building skills and automated workflows that more than one person uses Good judgment about what makes AI output good, and the ability to codify that judgment in evaluations Ability to quickly understand our products and describe their value: what SREs and platform engineers do, and how observability products help them Ability to build dashboards and pages in Grafana, or to learn quickly Strong project management and organizational skills Excellent verbal and written communication skills, including presenting data to a team Bonus Points For: Strong bias to action: you build, test, and ship instead of waiting for permission Able to manage multiple projects and priorities at once Adaptable, flexible, and comfortable in a fast-paced environment High emotional intelligence and strong interpersonal skills Our team knows its goals and can see its progress toward them More people outside the team use our AI tools and collateral Collaboration with the field, Enablement, Marketing, and other partner teams runs more smoothly, leading to better working relationships and more impact across the org Compensation & Rewards: In the UK, the base compensation range for this role is GBP 74,342 - 89,210. 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: Product Marketing at Grafana Labs lives in the Product org, not the Marketing org, and we think differently about the job. As Grafana's offering shifts from dashboards to observability agents, our team closes the gap between what our products can do and how customers understand that value. We build clear, consistent positioning, run marketing campaigns that attract new customers, and create content that helps engineering teams see why Grafana Cloud is the right choice for them. Rather than only executing launches and campaigns, we teach Grafana’s product managers and engineers how to think about growth and demand. We also codify product marketing knowledge into AI-forward tools and processes that anyone at Grafana can use. For example, we all contribute product information to a shared knowledge base, which we use to generate enablement materials and decks. The Operations Manager keeps the Product Marketing system running and makes it better. You'll track how our work performs and report on it to the team every week, experiment with new AI workflows, and maintain the collateral and tools the team and the field depend on, so the sales team is fully supported in positioning our products. You'll work closely with the team's software engineers: you test ideas like sales deck generators or tools for competitive analysis, script prototypes, and define what good output looks like, and they turn the best ideas into production tools. You'll also coordinate with the field, Enablement, and Marketing so we understand each other's goals and make progress on shared initiatives. For this role you don't need to be a product marketer but you should have experience working inside a Product or Marketing organization for a software company. Since we don’t have an operations manager yet, you’ll also help to shape your own role. You should arrive with a desire to find and solve imperfectly-defined problems. What You'll Be Doing: Projects and Cross-Functional Initiatives : Drive cross-functional initiatives that align with product marketing strategies across GTM, Product, and Marketing teams. Own follow-ups, task tracking, and on-time completion. Cross-Team Coordination : Coordinate with the field, Enablement, and Marketing teams so we understand each other's goals and priorities. Track shared initiatives, and coordinate enablement activities with the Enablement team. Analytics and Reporting : Track the product marketing team's key metrics, such as how our content, enablement sessions, and launches perform and who uses them. Interpret and report on them to the team every week. AI Experimentation and Prototyping : Try out new AI workflows and tools, using AI to write scripts and checking that they work. Decide what good output looks like and codify that judgment in evaluations, working alongside the software engineers on our team as they refine and deploy tools. Hand the most promising prototypes to engineers to make production-ready. For example, you might test a deck generator with sellers, write evals for it, and communicate about it internally. Collateral Management : Maintain the team's most important collateral, including core decks, positioning content, and enablement sessions. Keep it accurate and current, share it widely, and make sure sellers know where to find it and how to use it. Knowledge Base Stewardship : Help keep our shared product knowledge base complete and current. Spot missing or stale information, chase down the owners, and improve the processes that keep it up to date. What Makes You a Great Fit: 2+ years in an operations, analytics, enablement, or technical support role within a Product or Marketing organization for a software company. Strong analytical judgment: you use AI and other tools to pull data, check the results instead of taking them at face value, and turn the numbers into clear recommendations Proficiency with AI agents, including building skills and automated workflows that more than one person uses Good judgment about what makes AI output good, and the ability to codify that judgment in evaluations Ability to quickly understand our products and describe their value: what SREs and platform engineers do, and how observability products help them Ability to build dashboards and pages in Grafana, or to learn quickly Strong project management and organizational skills Excellent verbal and written communication skills, including presenting data to a team Bonus Points For: Strong bias to action: you build, test, and ship instead of waiting for permission Able to manage multiple projects and priorities at once Adaptable, flexible, and comfortable in a fast-paced environment High emotional intelligence and strong interpersonal skills Our team knows its goals and can see its progress toward them More people outside the team use our AI tools and collateral Collaboration with the field, Enablement, Marketing, and other partner teams runs more smoothly, leading to better working relationships and more impact across the org Compensation & Rewards: In Sweden, the base compensation range for this role is SEK 640,484 - SEK 768,580. 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: Product Marketing at Grafana Labs lives in the Product org, not the Marketing org, and we think differently about the job. As Grafana's offering shifts from dashboards to observability agents, our team closes the gap between what our products can do and how customers understand that value. We build clear, consistent positioning, run marketing campaigns that attract new customers, and create content that helps engineering teams see why Grafana Cloud is the right choice for them. Rather than only executing launches and campaigns, we teach Grafana’s product managers and engineers how to think about growth and demand. We also codify product marketing knowledge into AI-forward tools and processes that anyone at Grafana can use. For example, we all contribute product information to a shared knowledge base, which we use to generate enablement materials and decks. The Operations Manager keeps the Product Marketing system running and makes it better. You'll track how our work performs and report on it to the team every week, experiment with new AI workflows, and maintain the collateral and tools the team and the field depend on, so the sales team is fully supported in positioning our products. You'll work closely with the team's software engineers: you test ideas like sales deck generators or tools for competitive analysis, script prototypes, and define what good output looks like, and they turn the best ideas into production tools. You'll also coordinate with the field, Enablement, and Marketing so we understand each other's goals and make progress on shared initiatives. For this role you don't need to be a product marketer but you should have experience working inside a Product or Marketing organization for a software company. Since we don’t have an operations manager yet, you’ll also help to shape your own role. You should arrive with a desire to find and solve imperfectly-defined problems. What You'll Be Doing: Projects and Cross-Functional Initiatives : Drive cross-functional initiatives that align with product marketing strategies across GTM, Product, and Marketing teams. Own follow-ups, task tracking, and on-time completion. Cross-Team Coordination : Coordinate with the field, Enablement, and Marketing teams so we understand each other's goals and priorities. Track shared initiatives, and coordinate enablement activities with the Enablement team. Analytics and Reporting : Track the product marketing team's key metrics, such as how our content, enablement sessions, and launches perform and who uses them. Interpret and report on them to the team every week. AI Experimentation and Prototyping : Try out new AI workflows and tools, using AI to write scripts and checking that they work. Decide what good output looks like and codify that judgment in evaluations, working alongside the software engineers on our team as they refine and deploy tools. Hand the most promising prototypes to engineers to make production-ready. For example, you might test a deck generator with sellers, write evals for it, and communicate about it internally. Collateral Management : Maintain the team's most important collateral, including core decks, positioning content, and enablement sessions. Keep it accurate and current, share it widely, and make sure sellers know where to find it and how to use it. Knowledge Base Stewardship : Help keep our shared product knowledge base complete and current. Spot missing or stale information, chase down the owners, and improve the processes that keep it up to date. What Makes You a Great Fit: 2+ years in an operations, analytics, enablement, or technical support role within a Product or Marketing organization for a software company. Strong analytical judgment: you use AI and other tools to pull data, check the results instead of taking them at face value, and turn the numbers into clear recommendations Proficiency with AI agents, including building skills and automated workflows that more than one person uses Good judgment about what makes AI output good, and the ability to codify that judgment in evaluations Ability to quickly understand our products and describe their value: what SREs and platform engineers do, and how observability products help them Ability to build dashboards and pages in Grafana, or to learn quickly Strong project management and organizational skills Excellent verbal and written communication skills, including presenting data to a team Bonus Points For: Strong bias to action: you build, test, and ship instead of waiting for permission Able to manage multiple projects and priorities at once Adaptable, flexible, and comfortable in a fast-paced environment High emotional intelligence and strong interpersonal skills Our team knows its goals and can see its progress toward them More people outside the team use our AI tools and collateral Collaboration with the field, Enablement, Marketing, and other partner teams runs more smoothly, leading to better working relationships and more impact across the org Compensation & Rewards: In Spain, the base compensation range for this role is EUR 67,238 - EUR 80,686. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Republic of Ireland (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: Product Marketing at Grafana Labs lives in the Product org, not the Marketing org, and we think differently about the job. As Grafana's offering shifts from dashboards to observability agents, our team closes the gap between what our products can do and how customers understand that value. We build clear, consistent positioning, run marketing campaigns that attract new customers, and create content that helps engineering teams see why Grafana Cloud is the right choice for them. Rather than only executing launches and campaigns, we teach Grafana’s product managers and engineers how to think about growth and demand. We also codify product marketing knowledge into AI-forward tools and processes that anyone at Grafana can use. For example, we all contribute product information to a shared knowledge base, which we use to generate enablement materials and decks. The Operations Manager keeps the Product Marketing system running and makes it better. You'll track how our work performs and report on it to the team every week, experiment with new AI workflows, and maintain the collateral and tools the team and the field depend on, so the sales team is fully supported in positioning our products. You'll work closely with the team's software engineers: you test ideas like sales deck generators or tools for competitive analysis, script prototypes, and define what good output looks like, and they turn the best ideas into production tools. You'll also coordinate with the field, Enablement, and Marketing so we understand each other's goals and make progress on shared initiatives. For this role you don't need to be a product marketer but you should have experience working inside a Product or Marketing organization for a software company. Since we don’t have an operations manager yet, you’ll also help to shape your own role. You should arrive with a desire to find and solve imperfectly-defined problems. What You'll Be Doing: Projects and Cross-Functional Initiatives : Drive cross-functional initiatives that align with product marketing strategies across GTM, Product, and Marketing teams. Own follow-ups, task tracking, and on-time completion. Cross-Team Coordination : Coordinate with the field, Enablement, and Marketing teams so we understand each other's goals and priorities. Track shared initiatives, and coordinate enablement activities with the Enablement team. Analytics and Reporting : Track the product marketing team's key metrics, such as how our content, enablement sessions, and launches perform and who uses them. Interpret and report on them to the team every week. AI Experimentation and Prototyping : Try out new AI workflows and tools, using AI to write scripts and checking that they work. Decide what good output looks like and codify that judgment in evaluations, working alongside the software engineers on our team as they refine and deploy tools. Hand the most promising prototypes to engineers to make production-ready. For example, you might test a deck generator with sellers, write evals for it, and communicate about it internally. Collateral Management : Maintain the team's most important collateral, including core decks, positioning content, and enablement sessions. Keep it accurate and current, share it widely, and make sure sellers know where to find it and how to use it. Knowledge Base Stewardship : Help keep our shared product knowledge base complete and current. Spot missing or stale information, chase down the owners, and improve the processes that keep it up to date. What Makes You a Great Fit: 2+ years in an operations, analytics, enablement, or technical support role within a Product or Marketing organization for a software company. Strong analytical judgment: you use AI and other tools to pull data, check the results instead of taking them at face value, and turn the numbers into clear recommendations Proficiency with AI agents, including building skills and automated workflows that more than one person uses Good judgment about what makes AI output good, and the ability to codify that judgment in evaluations Ability to quickly understand our products and describe their value: what SREs and platform engineers do, and how observability products help them Ability to build dashboards and pages in Grafana, or to learn quickly Strong project management and organizational skills Excellent verbal and written communication skills, including presenting data to a team Bonus Points For: Strong bias to action: you build, test, and ship instead of waiting for permission Able to manage multiple projects and priorities at once Adaptable, flexible, and comfortable in a fast-paced environment High emotional intelligence and strong interpersonal skills Our team knows its goals and can see its progress toward them More people outside the team use our AI tools and collateral Collaboration with the field, Enablement, Marketing, and other partner teams runs more smoothly, leading to better working relationships and more impact across the org Compensation & Rewards: In Ireland, the base compensation range for this role is EUR 84,048 - EUR 100,858. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Germany (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: Product Marketing at Grafana Labs lives in the Product org, not the Marketing org, and we think differently about the job. As Grafana's offering shifts from dashboards to observability agents, our team closes the gap between what our products can do and how customers understand that value. We build clear, consistent positioning, run marketing campaigns that attract new customers, and create content that helps engineering teams see why Grafana Cloud is the right choice for them. Rather than only executing launches and campaigns, we teach Grafana’s product managers and engineers how to think about growth and demand. We also codify product marketing knowledge into AI-forward tools and processes that anyone at Grafana can use. For example, we all contribute product information to a shared knowledge base, which we use to generate enablement materials and decks. The Operations Manager keeps the Product Marketing system running and makes it better. You'll track how our work performs and report on it to the team every week, experiment with new AI workflows, and maintain the collateral and tools the team and the field depend on, so the sales team is fully supported in positioning our products. You'll work closely with the team's software engineers: you test ideas like sales deck generators or tools for competitive analysis, script prototypes, and define what good output looks like, and they turn the best ideas into production tools. You'll also coordinate with the field, Enablement, and Marketing so we understand each other's goals and make progress on shared initiatives. For this role you don't need to be a product marketer but you should have experience working inside a Product or Marketing organization for a software company. Since we don’t have an operations manager yet, you’ll also help to shape your own role. You should arrive with a desire to find and solve imperfectly-defined problems. What You'll Be Doing: Projects and Cross-Functional Initiatives : Drive cross-functional initiatives that align with product marketing strategies across GTM, Product, and Marketing teams. Own follow-ups, task tracking, and on-time completion. Cross-Team Coordination : Coordinate with the field, Enablement, and Marketing teams so we understand each other's goals and priorities. Track shared initiatives, and coordinate enablement activities with the Enablement team. Analytics and Reporting : Track the product marketing team's key metrics, such as how our content, enablement sessions, and launches perform and who uses them. Interpret and report on them to the team every week. AI Experimentation and Prototyping : Try out new AI workflows and tools, using AI to write scripts and checking that they work. Decide what good output looks like and codify that judgment in evaluations, working alongside the software engineers on our team as they refine and deploy tools. Hand the most promising prototypes to engineers to make production-ready. For example, you might test a deck generator with sellers, write evals for it, and communicate about it internally. Collateral Management : Maintain the team's most important collateral, including core decks, positioning content, and enablement sessions. Keep it accurate and current, share it widely, and make sure sellers know where to find it and how to use it. Knowledge Base Stewardship : Help keep our shared product knowledge base complete and current. Spot missing or stale information, chase down the owners, and improve the processes that keep it up to date. What Makes You a Great Fit: 2+ years in an operations, analytics, enablement, or technical support role within a Product or Marketing organization for a software company. Strong analytical judgment: you use AI and other tools to pull data, check the results instead of taking them at face value, and turn the numbers into clear recommendations Proficiency with AI agents, including building skills and automated workflows that more than one person uses Good judgment about what makes AI output good, and the ability to codify that judgment in evaluations Ability to quickly understand our products and describe their value: what SREs and platform engineers do, and how observability products help them Ability to build dashboards and pages in Grafana, or to learn quickly Strong project management and organizational skills Excellent verbal and written communication skills, including presenting data to a team Bonus Points For: Strong bias to action: you build, test, and ship instead of waiting for permission Able to manage multiple projects and priorities at once Adaptable, flexible, and comfortable in a fast-paced environment High emotional intelligence and strong interpersonal skills Our team knows its goals and can see its progress toward them More people outside the team use our AI tools and collateral Collaboration with the field, Enablement, Marketing, and other partner teams runs more smoothly, leading to better working relationships and more impact across the org Compensation & Rewards: In Germany, the base compensation range for this role is EUR 78,336 - EUR 94,003. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Remote, Canada; Remote, India; 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 Manager, SOX PMO - Business Process, you'll lead Sarbanes-Oxley (SOX) compliance for assigned business processes as part of GitLab's second line. This is advisory work, not repeatable testing: you'll deeply understand how processes work, evaluate risks as the business changes, and help control owners design and remediate controls that hold up to audit. Judgment matters more than procedure. You'll form well-supported conclusions, align with control owners and Internal Audit, and defend positions to external auditors. GitLab already uses AI extensively, and the next phase brings AI agents into our SOX processes. You'll help teams adopt them with confidence, finding creative ways to enable new ways of working while maintaining compliance. You'll also partner with the information technology (IT) SOX PMO on readiness for new systems and applications. This role reports to the Senior Director, SOX PMO, within the Chief Accounting Officer's organization. What You’ll Do Lead SOX compliance for assigned business processes as the second-line subject matter expert, advising control owners who own and operate the controls. Deeply understand each process, its systems and data flows, and resolve open questions and assumptions early. Monitor risks from new and changing processes, products, and systems. Help control owners design, strengthen, or right-size controls, and contribute to the annual SOX risk assessment and scoping. Evaluate control deficiencies individually and in aggregate, identify root causes, and prepare well-supported severity assessments. Work with management to develop, implement, and monitor remediation plans. Prepare auditor-ready technical memos on sampling methodology, scoping, and control rationalization, using independent analysis and sound conclusions. Prepare reports and presentations on SOX compliance status for leadership. Lead business walkthroughs and stakeholder meetings, and coordinate with Internal Audit and external auditors throughout the audit. Anticipate questions, support positions with data and judgment, and escalate risks and auditor comments promptly with a recommended path forward. Advise on controls for AI-enabled processes and processes that use AI agents. Find opportunities to automate SOX work using AI tools, and validate their output. Partner with the IT SOX PMO to assess new systems and controls, including application controls and key reports. Develop and maintain accurate process narratives, flowcharts, and risk and control matrices as processes change. Collaborate with Finance, Operations, Legal, Human Resources, Sales, Engineering, and IT leaders to help them design and maintain effective business controls. What You’ll Bring Hands-on SOX and internal controls experience in control design, remediation, and deficiency evaluation, beyond testing alone. Experience in the software or technology industry is required; SOX PMO, Big Four risk advisory, or assurance experience is a strong plus. A bachelor's degree in Accounting, Finance, or a related field; an active Certified Public Accountant (CPA) credential (strongly preferred) or Certified Internal Auditor (CIA) credential. A strong understanding of SOX requirements and internal control frameworks, such as the Committee of Sponsoring Organizations of the Treadway Commission (COSO) framework. Professional judgment and skepticism: verifying facts against source documents, testing the reasonableness of data and conclusions, and recognizing missing information. A track record of independently solving ambiguous, novel problems, from defining an approach through overcoming obstacles and driving resolution. Curiosity to understand how processes actually work and keep learning as the business changes. Clear written and verbal communication, including concise, accurate, auditor-ready memos and actionable recommendations. Confidence partnering with senior stakeholders and external auditors, including working through pushback. A practical, innovative approach to helping the business adopt new technologies, products, and ways of working while maintaining compliance. Experience using AI tools to improve efficiency and validating their output. Experience with usage-based billing or AuditBoard is a plus. About the team The SOX PMO is part of the Chief Accounting Officer's organization. In this role, you'll advise business control owners and partner with the IT SOX PMO, Internal Audit, and external auditors to keep GitLab compliant as processes, systems, and AI use evolve. GitLab is an all-remote company, with flexibility to work from home or wherever you're most productive. You'll need to be available to collaborate with teammates during core US Pacific (PT) and Eastern (ET) business hours. How GitLab will support you 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 Home office support 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. 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 — $194,400 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: San Francisco; New York Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We're building a high-performing strategic finance team and looking for exceptional people at every level, from strong individual contributors to senior finance leaders ready to build and lead teams. Our revenue scales with customer usage, our costs scale with GPU capacity we commit to ahead of demand, and both move faster than any annual plan. That makes growth, portfolio construction, pricing, margin, and compute capacity decisions business model decisions. You'll sit at the center of them, working directly with Finance leadership and the executives who run the business to shape the company's trajectory. This posting is intentionally broad within strategic finance. We'll match your scope and title to your experience and interest. We are looking for both specialists and generalists. The common thread is ownership: you'll take on hard, ambiguous problems, build what doesn't exist yet, and get more responsibility as fast as you can handle it. We encourage you to apply even if you don't meet every qualification listed below. THE RESPONSIBILITIES - Financial Modeling: Build and maintain models across revenue, gross margin, compute costs, headcount, and strategic bets that leadership uses to make decisions. - Business Partnership: Partner with leaders across GTM, Product, Infrastructure, and Operations to set targets, evaluate investments, and work through operational tradeoffs. - Unit Economics: Analyze the metrics that define a usage-based business, including ARR, consumption trends, gross margin, GPU utilization, retention, and GTM efficiency. - Pricing and Deals: Shape pricing, packaging, and the structure of strategic customer and supplier deals. - Board and Investors: Help prepare board materials, investor updates, and fundraising analyses. - Systems and Scale: Build the reporting, dashboards, and processes that let finance scale as fast as our revenue. Use AI and automation extensively to keep the team fast and lean. - Strategic Projects: Turn ambiguous business questions into clear analysis and recommendations, from market sizing to scenario planning to new business lines. - Leadership: For senior hires, own a major area of finance end to end, build and develop a team, and act as a thought partner to Finance leadership and the executive team. THE REQUIREMENTS - Experience in strategic finance, FP&A, investment banking, PE/VC investing, and/or consulting. Prior experience in high-growth technology is strongly preferred - Excellent financial modeling and analytical skills - Ability to synthesize complex information into clear recommendations for executives - Comfortable operating in a fast-moving, ambiguous environment - Strong attention to detail with a bias toward ownership and execution - Excellent written and verbal communication, including explaining financial tradeoffs to product and engineering audiences and influencing senior stakeholders - Sound judgment when data is incomplete, and comfort making a call and revisiting it as you learn more - High intellectual curiosity and interest in AI / infrastructure / developer tooling - Advanced Excel / Google Sheets skills; familiarity with SQL or BI tools is a plus STRONG CANDIDATES MAY ALSO HAVE - 4+ years of experience. Level and title will match your experience - Experience at an AI/ML, cloud infrastructure, or usage-based software company - Familiarity with GPU and compute economics, or data center and cloud contracts - Experience in sales finance, sales compensation, pricing, or deal desk - Experience building a finance function from the ground up at a hypergrowth company - Prior quantitative or technical experience BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. We're hiring a Senior Manager, Infrastructure Security to lead the team responsible for securing 1Password's cloud-native platform. Reporting into Platform Security, you'll set the direction for Infrastructure Security, establish priorities, and drive execution aligned with our broader security strategy. We're looking for a hands-on engineering leader who combines deep technical expertise with strong judgment and people leadership. You'll help your team tackle complex security challenges, prioritize work that meaningfully reduces risk, and build strong partnerships with engineering teams to make security an integral part of how our platform evolves. Your team is responsible for security across cloud infrastructure, identity and access management, privileged access, networks, containers, and emerging AI and automated systems. You'll lead and develop a team of security engineers while partnering closely with Platform Security, Threat Operations, and infrastructure engineering leaders to strengthen our security posture. As AI and agentic technologies become increasingly integrated into production environments, you'll also help define how we secure these systems, including their identities, access to infrastructure and data, and the controls that limit potential risk. In this role, you'll help ensure 1Password's infrastructure remains secure, resilient, and scalable while enabling engineering teams to move quickly and confidently. How we’re using AI today Our Engineering, Product, and Design teams are thoughtfully integrating AI across the full software and product development lifecycle to move faster without sacrificing quality or security. In practice, that looks like engineers using AI-assisted coding tools to accelerate reviews and catch bugs earlier, product managers synthesizing user research at scale, and designers rapidly prototyping and iterating with AI-generated mockups. We approach AI the same way we approach security: with clear principles, human accountability at every consequential decision point, and rigorous evaluation before anything ships to customers. This is a remote opportunity within Canada and the US. What we're looking for: We're looking for someone who brings strong technical depth, direct people leadership experience, and the ability to turn a security strategy into shipped work. - 8+ years of experience in security engineering, including at least 3 years directly managing a team, with demonstrated accountability for team delivery, individual performance, engagement, and professional growth. - Deep production experience securing a major cloud platform, including identity and trust boundaries, workload isolation, Kubernetes, and infrastructure as code. - Experience building or improving privileged access programs, including how people and workloads access the systems and resources they need. - Experience implementing network segmentation, WAF, and zero-trust approaches at scale. - Hands-on experience securing AI and agentic systems in production, including workload identities, access to infrastructure and data, and security boundaries designed to limit the impact of a compromised agent. - Demonstrated ability to review technical work, identify gaps, and raise the quality of engineering outcomes through effective technical oversight and coaching. - Ability to navigate ambiguous, complex problems, establish priorities within an area of ownership, and define technical direction without relying on prescribed solutions. - Proven ability to influence engineering teams through technical credibility, a track record of delivering results, and the development of high-performing engineers. - Experience using AI to improve individual and team effectiveness, modeling responsible adoption, and ensuring AI-assisted work is reviewed for accuracy, sound judgment, and impact. What you can expect: - Set the strategic direction and priorities for Infrastructure Security, and own delivery end to end, aligned with the Platform Security strategy - Define clear goals and metrics so progress is measurable and trade-offs can be argued with evidence - Lead delivery across concurrent workstreams in cloud security, identity and access management, and container security - Build, coach, and grow a team of security engineers: set clear expectations for what good looks like, and address both strong performance and off-track performance early rather than waiting for issues to surface - Work closely with platform and infrastructure engineering teams so security is designed into systems from the start - Help define how we secure AI and automated systems, including the identities they run as, how their access is scoped, and where the boundaries around them sit - Partner with the other Platform Security teams and with Threat Operations so findings reach the right owner and get remediated inside an agreed SLA - Make the calls Infrastructure Security needs, and bring in your peers and manager on decisions that reach beyond the team - Make sure security keeps up with company growth without slowing teams down USA-based roles only: The annual base salary for this role is between $230,000 USD and $334,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $202,000 CAD and $293,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: United Kingdom; Brazil; United Arab Emirates; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; United States; Canada; Hungary; Mexico; Chile; Poland; Spain; Bulgaria Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. Kraken’s Core Infrastructure Engineering team builds and operates the shared data systems behind critical production services. Our estate spans on-premises and cloud infrastructure, with MariaDB at its centre and Kafka, Redis and Elasticsearch across the wider platform. We’re hiring a Principal Database Engineer to bring long-term experience and technical judgment to this estate. You’ll assess it, set the goals and direction, and work hands-on with the team to deliver measurable improvements. This is an individual contributor role with influence across teams and several quarters of work.   THE OPPORTUNITY - Review the estate against business needs and production evidence. Judge reliability, scale, cost and operational complexity, identifying what should be preserved and where investment or simplification would make a difference. - Define the target architecture and measurable goals. Agree a prioritised roadmap with engineering leads and dependent teams, explaining the trade-offs and sequencing work around delivery risks. - Execute that roadmap with the team through design, implementation and adoption. Stay personally involved in difficult migrations and scaling decisions, with representative benchmarks, data-integrity checks and credible cutover and rollback plans. Adapt the plan as evidence changes and verify the results in production before calling the work complete. - Investigate difficult MariaDB failures and performance limits through the engine, storage and application behaviour. Improve fleet reliability through useful observability, safer changes and tested backup, restore and disaster recovery procedures. Set recovery objectives with service owners and prove them through exercises. - Build and maintain production software for database provisioning, upgrades and routine maintenance. Make self-service workflows safe and auditable, incorporating access controls and change evidence with Security and Compliance. - Work with application teams on schemas, transaction boundaries, queries and data-store choices. Make the operational consequences clear and resolve dependencies that span teams. - Mentor engineers across the team through design reviews, pairing and incident analysis. Help them deepen their database expertise and take ownership of technical decisions. - Participate in on-call and incident response, leaving clear operational ownership and following through on lessons from production.   WHAT YOU BRING - 8+ years operating and evolving production database estates at scale. You have assessed inherited systems, set technical direction and delivered improvements with engineering teams, and can explain how those decisions held up over time. - Strong understanding of high availability, replication and distributed database failure modes. You can explain consistency and availability trade-offs and reason about transaction boundaries and reliable event delivery, including transactional outbox patterns. - Deep, recent hands-on MariaDB expertise, including InnoDB, MVCC and transaction isolation, locking, query optimisation, binary logs and MariaDB GTID replication. You can explain the mechanisms and diagnostic evidence behind your decisions. - Personal ownership of MariaDB incident diagnosis, performance tuning and tested restore or point-in-time recovery. You can explain what you did, how you established data integrity and what remained uncertain. - Strong software engineering skills in Python, Go, Rust or a comparable language. You have personally built and maintained production software or automation for database workflows such as provisioning, failover, online schema changes and self-service operations, using version control, code review and delivery pipelines, with tested failure handling. - Strong low-level Linux, Kernel, storage and networking fundamentals, with the ability to investigate problems beyond the database process. - Clear written technical judgment and demonstrated delivery across teams without reporting-line authority. You help stakeholders make sound database design and lifecycle decisions, and develop experienced engineers through shared delivery.   NICE TO HAVES - Experience operating databases in containerised, hybrid on-premises/cloud or multi-region environments. Familiarity with Kubernetes, infrastructure as code or GitOps, including their operational trade-offs. - Experience with database proxies or load-balancing layers (MaxScale, HAProxy, ProxySQL, or similar). - Experience with PostgreSQL, Vitess, TiDB, ScyllaDB, ClickHouse or internal database platforms; operational knowledge of Kafka, Redis/Valkey or Elasticsearch/OpenSearch. - Experience in regulated environments or contributions to database engines, operators and other infrastructure software. Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Europe Workplace: Remote At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 50,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. Field marketing at Linear is just getting started. Its job is to put us in front of the right people in the right room: executive dinners, conferences, partner events, and programs built with our Customer team around named accounts. We're hiring our first Field Marketing Manager in Europe to take that motion from strategy to execution. You'll own the executive dinner calendar across cities, decide which third-party events and partner programs are worth our time, and build the invitations and follow-up that help our sellers turn a good evening into a real conversation. This is a hands-on role. You'll tap your venue and vendor network, build the run of show for each program, and be on site to run it. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in Europe, with London preferred. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. This role involves frequent travel for events, including evenings. What you’ll do - Own the executive dinner calendar across cities: pick the city, the venue, the date, and the theme for each dinner - Build each guest list with our Customer team, equip sellers with invitation sequences, and track RSVPs so every seat goes to someone worth having there - Manage venues and vendors, negotiate menus and minimums, and keep per-dinner spend, contracts, and travel logistics within budget - Brief our hosts and executives on who's attending and what we want to learn, be on site to run the night, and hand follow-ups to Sales afterward - Evaluate conferences and sponsorship offers by audience quality, account coverage, and expected return, then plan how we show up: booth or no booth, side dinners, customer meetings, and speaking slots - Co-host dinners, workshops, and meetups with partners, and agree up front on guest lists, costs, and who follows up - Sit with Sales each quarter to pick target accounts, build lightweight formats an AE can request for a key account, and report on attendance, meetings held, pipeline influenced, and feedback from attendees and account owners What we’re looking for - 3+ years in field marketing, event marketing, or B2B events, ideally at a software company. Experience in developer tools, SaaS, or another technical product is a plus - A track record of running dinners, roundtables, or other small-format events end to end, plus experience planning around conferences: sponsorships, side events, and customer meetings - Experience working next to Sales. You know how to build a target account list, get an AE to care about an event, and tell them afterward what happened - Strong project management. You can run several cities and events at once without dropping details - Comfort with budgets, vendor contracts, and a spreadsheet. Hands-on time with HubSpot and event attribution is a plus - Clear writing and an easy way with senior guests, hosts, and partners. Experience marketing to engineering and product leaders is a bonus - Experience building an event series from the ground up, including a playbook someone else could run - Willingness to travel often, including evenings What we offer We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect: - Competitive salary and equity - Employee-friendly equity terms - Daily meal and coffee stipend on every workday - Paid co-working space or desk - Health coverage (based on country requirements) - 5 weeks paid vacation, plus local statutory holidays - 4 months paid parental leave - Paid month off after 4 years & every 2 years thereafter - Regular team events and off-sites - Remote-first with no required commute Learn how we think and work - A story about our mission: Read Me https://linear.app/readme - How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear - Our CEO and co-founder, Karri at 20VC: How to Grow Capital Efficiently in a World of BS Growth https://www.youtube.com/watch?v=4vqDYkuzbSM - Building our teams: Why and how we do work trials at Linear https://linear.app/blog/why-and-how-we-do-work-trials-at-linear - A video series: Conversations on Quality https://linear.app/quality - Read about our recent Series C Fundraise https://linear.app/now/building-our-way and Giving our team liquidity https://linear.app/now/giving-our-team-liquidity-through-linear-s-first-tender-offer A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app. Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

Location: Chicago, IL Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . We're looking for a Client Account Manager to join the Big Box Retail vertical of our Large Customer Sales team. This person will closely collaborate with their Client Partner on campaign execution and optimizations to help agencies and advertisers achieve their marketing objectives on the fast-growing Reddit platform. Please note that this role is required to be based in person in Chicago or New York . Responsibilities: Collaborate closely with Client Partners to meet and exceed your clients’ marketing goals Proactively manage and deepen relationships with existing advertising partners, both with agencies and directly with clients to drive year-over-year Reddit revenue growth Lead and execute campaign launches from start to finish, delivering insightful optimization recommendations to agency and client partners Act as the primary point of contact for internal account operations, including managing revenue delivery, troubleshooting issues, and escalating when necessary Educate brands and media agencies, effectively communicating Reddit’s value proposition and best practices for advertising on the platform Consult clients on their awareness and direct response objectives, partnering closely with Client Partners to craft thoughtful and creative media plans Collaborate with Ad Ops to ensure effective campaign delivery and resolve any technical hurdles Dive deep into campaign performance data, audience and competitor insights, seasonality, and market and performance trends to develop KPI-driven campaign recommendations Proactively seek and represent client needs and asks to cross-functional stakeholders Shape Reddit’s native ads product roadmap by aggregating and sharing client feedback and campaign metrics with cross-functional stakeholders Required Qualifications: 5+ years of experience in advertising sales and account management. Experience working with Retail industry clients preferred. Strong understanding of customer marketing funnel and traditional marketing ecosystem Comfortable with problems of diverse scope where analysis of data requires evaluation of identifiable factors. Understanding of Digital measurement, tracking fundamentals and mobile measurement partners Tenacious and entrepreneurial approach to working through product, process, and client challenges Experience cultivating strong relationships with external partners Exceptional communication and interpersonal skills Ability to work in a fast-paced and unstructured work environment High attention to detail Proficiency in Excel preferred BA / BS degree or equivalent work experience Benefits: Comprehensive Health benefits 401k Matching Workspace benefits for your home office Personal & Professional development funds Family Planning Support Flexible Vacation (please use them!) & Reddit Global Days Off 4+ months paid Parental Leave Paid Volunteer time off Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and will also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $105,000 — $147,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Amsterdam Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE ROLE As the Sales Engineering Manager for Northern Europe, you will lead a team of sales engineers from our hub in Amsterdam, working with our customers across DACH and Benelux. You'll help build and shape the team, grow the people in it and make sure our customers get the technical partnership they need to build and run great agents in production. This is an opportunity to have outsized impact at a company shaping the future of AI-powered software. DEs work alongside our sales team to help our prospects and customers build reliable, scalable agents for their business using our suite of products: LangChain, LangGraph, Deep Agents and LangSmith. The team focuses on pre-sales efforts, but stays on accounts to not only close new business but also to make our customers wildly successful. Your first job is your people. You will support great sales engineers, ramp them quickly, coach them through live customer work and build a team where they do the best work of their careers. You'll stay close enough to the technology and to our customers to be credible with both: unblocking your team on hard engagements and stepping in on the region's most important opportunities. You will report to the Director of Deployed Engineering, EMEA and partner closely with LangChain's sales leaders covering DACH and Benelux, with shared ownership of regional outcomes. This role is mostly people leadership, with real customer engagement and revenue accountability alongside it. As part of the EMEA deployed engineering leadership team, you'll also bring what you learn back into the playbooks, processes and standards we use globally. WHAT YOU'LL DO: - Grow the DACH/Benelux DE team: support recruiting, interviewing and closing candidates as the team grows and raise the bar with every hire. - Onboard and ramp new DEs quickly, with a clear definition of what "ramped" looks like and the support to get each person there. - Coach your team through live customer work: join calls, review architectures and proofs of value to provide direct, specific feedback that makes people better. - Own performance management: set clear expectations, recognise great work and address underperformance early and fairly. - Run the team's operating rhythm: account coverage, capacity and load balancing, deal and engagement reviews and the regional cadence with sales. - Partner with sales leadership in DACH and the Benelux on account strategy, coverage and technical win plans, with shared accountability for revenue outcomes and customer success. - Bring regional insight to the global DE team: what's working with customers in the region, product feedback and contributions to shared playbooks. - Develop future leaders, growing the senior DEs who will lead the next teams in the region. HOW TO BE SUCCESSFUL IN THE ROLE: - 7+ years of experience in sales engineering, solutions architecture, engineering, or similar customer-facing technical roles at a dev tools, AI, or infrastructure company. - 2+ years managing customer-facing engineers, including hiring, coaching and performance management. - A track record of developing people: engineers you hired and grew who went on to bigger scope or roles. - Technical credibility with your team and your customers: you're not a stranger to Python, and are well-versed in software engineering, platform engineering and solutions architecture. Hands-on experience building with LLMs or agents is a strong plus. - Experience working with or selling to developers and engineering-led buyers and an understanding of how enterprises in the region evaluate and buy (procurement, data protection, hosting and sovereignty requirements). - Exceptional communication and technical storytelling skills, with the ability to simplify complex concepts for customers and coach others to do the same. - A bias for action, comfort with ambiguity and a consistently high bar for excellence. - Fluent English; German strongly preferred. - Must be available to work in Amsterdam, with regular travel across the region. COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Remote Job Title: Marketing Automation Engineer (Braze) Build the infrastructure powering the future of restaurant payments At inKind, we’re building a new way to drive customers to restaurants. We power the relationship between millions of users and thousands of restaurants. We are looking for a Marketing Automation Engineer at inKind who can optimize the consumer relationship with a mix of marketing best-practices, strong understanding of data flow, and the ability to translate it to genuine personalization while technically executing on them at scale. You’ll collaborate closely with business and marketing teams to build systems that directly impact the restaurants and users who rely on inKind. As a Marketing Automation Engineer at inKind, you will be responsible for implementing marketing campaigns. You will receive creative briefs and project plans, and be responsible for drafting technical implementation docs and building them. Much of this building will be done dashboard-side in Braze Canvases. Optimizing platform usage, data-based triggering, and understanding user journeys are all key aspects of this role. Our team has a builder-first mindset, leveraging modern Consumer Engagement Platform (CEP) tools such as Braze and data warehouses like Snowflake, to power rich datasets of user information to use for personalization and customer lifecycle management. We are looking for  someone who can turn that data into dynamic, well-timed, high-relevance communication across email, SMS, and push — at scale. This role would have the opportunity to create genuine personalization engines using best-in-class tooling and data models. What You’ll Work On Platform Execution Architect and build complex journey flows - multi-branch, behavior-triggered, time-delayed - that respond dynamically to what users do in the app Create sophisticated email, SMS, and push templates using dynamic templating (in Liquid): conditional content blocks, personalized variables, abort conditions, and live data pulls Manage subscription and compliance workflows for SMS opt-in/opt-out, email unsubscribe, and push permission states and follow TCR regulations QA (Verify) every campaign before launch and own responsibility post-launch: audience spot-checks, template rendering validation, link tracking, SMS encoding, and cross-client email rendering Translate high-level marketing briefs into well-defined audience definitions, validating logic against actual user data before launch Understand CEP best practices to inform cadence of messaging, frequency capping, and prioritizing of marketing communications across lifecycle and ad-hoc campaigns Technical Rigor Write, understand, and document Liquid code to build dynamic content blocks Query our data warehouse (Snowflake) using SQL or review API payloads to validate that events and attributes match expected values, QA before launch, as well as triage potential issues. Use platform-native diagnostic tools (message logs, user lookup, event streams) to diagnose issues without needing an engineer to triage alongside you Understand technical limitations of campaigns and recommend well-scoped solutions Segmentation & Personalization Build precise, multi-condition audience segments using a full range of segmentation capabilities Maintain a clean, documented segment library — consolidating redundant definitions and flagging when underlying data changes affect targeting Partner with the cross-functional teams to define and action on lifecycle stages (active, lapsing, high-value, etc.) and build reusable and trackable segments that reflect those definitions reliably Build and maintain a reusable component library: shared content blocks, brand-compliant modules, and snippet logic the team can use without rebuilding from scratch Minimum Qualifications 4+ years of experience with a major CEP/CRM or marketing automation platform (Braze, Shopify, Iterable, Klaviyo, or equivalent) 2+ years of experience with Braze Deep expertise in journey/canvas building — multi-step, behavior-triggered flows with branching logic, delays, and channel mixing Dynamic templating skills: conditional blocks, variable logic, and live data integrations Experience with audience segmentation using behavioral data, custom attributes, and event properties Solid understanding of contact data models — user profiles, identified vs. anonymous users, subscription and consent management Ability to read API responses and event payloads to self-diagnose data issues without engineering support Liquid code proficiency Deep understanding of email deliverability fundamentals: list hygiene, bounce handling, unsubscribe management, and sender reputation Understanding of email domains/behavior and record management SMS compliance knowledge: opt-in/opt-out mechanics, quiet hours, carrier filtering, and message encoding Familiarity with TCR rules and regulations Preferred Qualifications SQL proficiency and experience working with a cloud data warehouse (Snowflake, Redshift, or BigQuery) for CRM analytics or audience building Background in consumer apps, marketplaces, or loyalty/rewards programs where lifecycle marketing directly drives repeat behavior Familiarity with how CRM data flows from a backend application via REST API or event streaming Experience with in-app messaging, content cards, or push notification strategy beyond transactional sends Some of Our Benefits Generous PTO and company holiday policy + company-paid Short Term Disability 100% employer-covered health and dental insurance; higher-tier and dependent coverage options available Vision plan available at employee cost Child care benefits and generous parental leave Dog-friendly Austin office with great views of downtown Daily lunches and snacks for in-office team members Who we are: inKind connects passionate diners with exceptional restaurants across the country. inKind partners with thousands of restaurants and has millions of users who want to discover great places, dine confidently, and earn meaningful rewards. Through the inKind app, guests earn 20% back every time they dine, turning everyday meals into something more rewarding. From celebrated restaurant groups like José Andres and Michael Mina to beloved neighborhood favorites, inKind helps diners explore the best restaurants in town while supporting the restaurants and chefs who shape how their cities eat. Rooted in hospitality and built on a win-win philosophy, inKind exists to help great restaurants thrive while inspiring guests to dine out more often. Every meal creates value on both sides of the table, empowering diners to savor more while strengthening the restaurant community. inKind is an Equal Opportunity Employer. We believe that diversity is vital to inKind's ability to provide our clients with the best recommendations and are committed to fostering a varied and inclusive work environment. Your race, color, ancestry, religion, gender, gender identity, national origin, sexual orientation, age, marital status, disability status, veteran status, or any other protected category have no bearing on our hiring decisions. By submitting this application, you acknowledge that inKind Cards, Inc. may share the information you provide with trusted third-party service providers, including fraud detection and application processing partners, to evaluate your application and ensure the integrity of our hiring process. Your information will be handled in accordance with our Privacy Policy . For California residents and others with applicable rights, please review our privacy notice for information about your rights regarding your personal data.

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! The Strategic Finance team is focused on solving some of Figma’s most pressing business issues. The team is responsible for owning the company's budget, driving annual and quarterly planning processes, allocating and deploying the company's resources efficiently, performing financial analyses, and partnering with teams across the company. The role requires someone who is highly analytical and strategic, a great communicator, approaches problems in a structured manner, and is comfortable with ambiguity. You’ll get substantial visibility, focus on the highest-priority business issues, and be plugged into every facet of the business. We are currently hiring on our finance team! Go-To-Market: This role will focus on our Sales business. In your first 12 months, you will: Own and materially improve Figma’s annual planning and forecasting process Influence resourcing and investment decisions across the Sales business Corporate: This role sits at the intersection of corporate finance and business decision-making. You’ll help drive long-range and annual planning, partner with G&A leaders across the CFO, CIO, Legal, and Tax organizations, and turn budget-versus-actual results into actionable insights. You’ll also support board reporting and build dashboards that give the team a clearer view of performance. With a strong focus on systems and automation, you’ll streamline processes and help build a more efficient, scalable finance function Growth: Partner with Marketing to connect financial planning with growth strategy. Own sign-up forecasting and partner with Data Science on ways to improve accuracy and insights on top of funnel. Partner with Marketing on expenses, budgets, and headcount planning. Turn insights into strategy. Automate routine processes to create more time for strategic analysis, evaluate marketing ROI, and help shape where we invest next. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Drive alignment on KPIs and key metrics to monitor business performance, drive growth initiatives, and provide visibility into operating performance Build annual operating plans, quarterly and monthly financial forecasts Develop cross-functional partnerships across Figma to formulate business insight and inform executive decision making Own, run & improve financial processes that support Figma’s business Partner with Strategic Finance, Data Science and RevOps to improve our ARR data quality and forecasting Prepare and deliver presentations for the Executive Team, including the CFO, CMO, and CRO Experiment with AI-driven solutions to automate workflows, enhance accuracy, and elevate the speed and impact of Strategic Finance operations We’d love to hear from you if you have: 5+ years of relevant experience in investment banking, private equity, strategic finance, Big 4 audit, business operations, or related fields Experience in financial planning and creating data-driven analysis Demonstrated ability to build processes from scratch and distill complex issues into structured frameworks and develop concrete action plans Experience problem-solving independently, organizing workload and priorities, and completing tasks on time Experience building relationships and communicating with stakeholders across all levels and functions While it’s not required, it’s an added plus if you also have: Experience at a high growth B2B SaaS company, with bonus points for GTM experience SQL/AI tooling experience and deep experience working with large data-sets At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $140,000 — $245,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.