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Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Stripe is investing in building out its Creative Design team within the Stripe Delivery Center (SDC) to reach users across the globe. The team designs comprehensive ad campaigns tailored for various platforms, ensuring that every visual element aligns with our marketing goals and engages our audience effectively. We create net-new creative content and localize and adapt our work to meet the unique cultural and linguistic needs of different regions, presenting our message effectively in global languages. In addition to advertising and web content, we produce high-quality designs for presentations and collateral aimed at large users and executive audiences. Our designs enhance the clarity and impact of our messages, making complex information accessible and engaging—whether for a client pitch or an executive strategy session. What you'll do Designers at Stripe's SDC bring a passion for captivating storytelling and great design. They use design systems to tell compelling stories to a variety of audiences, and are well-versed at expanding, evolving, defining, and documenting flexible design systems that achieve bar-raising quality and consistency for the brand at scale. They are user-focused, business-savvy, empathetic, and inspiring. The ideal candidate excels across a variety of styles, crisply articulates design decisions, iterates quickly, and collaborates seamlessly with marketers, product managers, leaders, other designers, and cross-functional partners. Responsibilities Ideate, design, and produce world-class design solutions—both static and motion—across a range of deliverables including presentations, posters, brand art, and signage. Steward designers through large-scale projects, providing art direction and ongoing guidance on creative strategy, execution, and localization. Work across a wide variety of mediums (physical, digital, and everything in between) to create immersive storytelling and creative content that brings Stripe's brand and product stories to life. Bring design concepts to life through storyboarding, comps, and creative presentations, iterating based on stakeholder feedback and internal testing. Collaborate with copywriters, static and motion designers, marketers, and ad operations to develop visionary concepts that engage a global audience. Mentor designers in best practices and ideation, fostering an environment where everyone learns and grows. Present ideas in a clear, focused way that builds consensus within the team and with stakeholders. Proactively identify and implement process improvements through automation and AI integration to enhance design quality and efficiency. Requirements 6–10 years of relevant design and art direction experience, with a focus on technical or product-driven companies. Strong track record of independently delivering high-quality work and influencing the output of other designers and cross-functional teams. Proficiency in Figma, Canva, and the Adobe Creative Cloud suite (motion and statics). Experience managing or mentoring a team of designers. Ability to express and communicate a brand through distinct graphics, patterns, motion, interaction, and experiences. A hands-on maker with the skills to effectively communicate concepts, direction, and decisions to teams and external partners. Ability to balance speed and quality, consistently delivering challenging, interesting, and pixel-perfect work. Persuasive and receptive to feedback; able to clearly explain work, process, and decisions. Comfortable working flexible hours, including late evenings (IST), to collaborate in real time with global stakeholders. Highly detail-oriented, with a drive for pixel-perfect craft. Preferred Qualifications Multidisciplinary creative comfortable working across different mediums and excited about experimenting with new technologies. Prior people management experience, with a track record of hiring, developing, and growing design talent. Experienced at facilitating stakeholder alignment and advocating for design quality.

Who we are  At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! .See yourself at Twilio Join the team as Twilio’s next Machine Learning Engineer. About the job This position is to design and engineer AI powered features that makes every customer conversation smarter. As a Machine Learning Engineer on the Conversation Intelligence team, you'll develop and deploy solutions that extract meaning from voice and messaging data at Twilio scale. You'll work alongside experienced ML practitioners to ship real features - from model pipelines to production inference - that directly shape how businesses understand their customers. Responsibilities In this role, you’ll: Design and development of machine learning solutions, ensuring accuracy, performance, security, and scalability. Implement and maintain end-to-end AI/ML pipelines - from data ingestion and feature engineering through to model development, validation, and deployment with guidance from senior engineers on complex architectural decisions Instrument AI/ML services with appropriate metrics, logging, and telemetry to monitor model performance and operational health against defined SLOs Participate in on-call rotations, executing progressive rollouts and applying standard mitigation strategies to keep production inference services healthy Collaborate across planning, design, and code review phases contributing to product and technical discussions, while helping raise overall code quality through thoughtful review feedback Qualifications  Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: Bachelor's degree in Computer Science, Mathematics, Statistics, or a related quantitative field, or equivalent practical experience 2+ years of experience in machine learning engineering or applied ML, with demonstrated proficiency in Python and at least one ML framework (PyTorch, TensorFlow, or JAX) and familiarity with NLP libraries such as Hugging Face Transformers, NLTK, or SpaCy. Experience developing, testing, and deploying small-to-medium scoped ML services or features in a collaborative engineering environment, including model versioning, experiment tracking, and cloud-based infrastructure (AWS, GCP, or Azure) Proficiency in Python (preferred) or similar OO language. Experience utilizing Large (or Small) Language Models within software systems. Excellent written and verbal communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences. Desired: Hands-on experience with conversational AI, or LLM fine-tuning and prompt engineering in a production  context Exposure to agentic AI frameworks such as LangGraph, AutoGen, CrewAI Familiarity with MLOps/LLMOps tooling related to maintaining models in production such as testing, versioning, model registry, retraining, and monitoring. Location This role will be remote from Spain. Travel  We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.Data at Brex Our Scientists and Engineers work together to make data — and insights derived from data — a core asset across Brex. But it's more than just crunching numbers. The Data team at Brex develops infrastructure, statistical models, and products using data. Our work is ingrained in Brex's decision-making process, the efficiency of our operations, our risk management policies, and the unparalleled experience we provide our customers. What You’ll DoAs a Data Engineer at Brex, you will be a core contributor in transforming raw data into actionable insights for various departments across the organization. You'll collaborate closely with Data Scientists, Software Engineers, and business units to create efficient data models, pipelines, and analytics frameworks that drive the business forward. You also play a leading role in the design, implementation, and maintenance of Core Data tables, our high-quality, curated data source for a wide range of analytic applications.  Where you’ll work This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work! Responsibilities: Design, build, and maintain data models and pipelines that scale with the growing number of services, products, and changes in the company. Collaborate closely with Data Scientists, Data Analysts, and Business teams to understand their data needs, translating them into robust, efficient, scalable data solutions that enable ease of predictive analytics, data analysis, and metrics formulation.  Maintain data documentation and definitions, building and ensuring that source-of-truth tables remain high quality for data science and reporting applications.  Develop and enable integration with various data sources, allowing for more data-driven initiatives across the company. Apply best practices in data management to ensure the reliability and robustness of data utilized across various analytics applications. Set and proliferate company-wide standards for data relating to structure, quality, and expectations. Act as a liaison between the technical and non-technical teams, bridging gaps and ensuring that data solutions align with business objectives. Use agentic AI where it speeds up pipeline and quality work, without skipping validation. Requirements: 3+ years of experience in Data Engineering, Data Analytics, or a related field such as Analytics Engineering. Advanced knowledge of databases and SQL with the ability to efficiently stage, process, and transform data. Experience integrating and orchestrating data workflows with various modern data tools and systems. Experience with data modeling, ETL/ELT processes, and data warehousing solutions. Experience working with a data warehouse such as Snowflake. Experience with a data workflow orchestrator tool such as Airflow. Experience with a programming language such as Python.  Experience with agentic AI.  Exceptional quantitative and analytical skills. Strong communication skills and ability to collaborate with various stakeholders, both technical and non-technical. Nice to have: Familiarity with BI tools such as Looker, Tableau, or similar platforms.  Solid dbt in production: models, tests, docs, and collaboration in a shared repo.  AI-ready data: Metrics and dimensions are clear and reusable so AI-assisted analysis does not fork definitions.  Experience with Salesforce data integration.  Compensation: The expected salary range for this role is $120,800 - $151,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package. Brex LLC is a wholly owned subsidiary of Capital One, N.A.Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.

About Vercel: Vercel is the agentic infrastructure company. We free people and agents to ship what’s next. For more than a decade, Vercel has shaped how the web is built. As the team behind Next.js, v0, and AI SDK, we create products that help builders move from idea to production with speed, security, and exceptional developer experience. Now, software is entering a new era, and the next generation of products will not just be used by people. They will be built, extended, and operated by agents. We are building the platform for that future, trusted by companies like OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. Whether you’re building our products, supporting our customers, growing our community, or shaping our story, you’ll help define what comes next.As a Senior Software Engineer on our Trust & Safety team at Vercel, you’ll build and operate systems that protect millions of developers and projects from abuse at internet scale. You’ll analyze real-world threat actor behavior, detect emerging abuse patterns across large datasets, and design production-ready mitigations to keep the platform safe without slowing developers. This role blends security engineering, data analysis, and applied LLM techniques, working closely with product, infrastructure, and security teams to turn evolving threats into scalable defenses. If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team. What you will do: Analyze threat actor behavior and evolving abuse patterns across large, heterogeneous datasets to inform detection logic, policy decisions, and scalable mitigations. Research, prototype, and implement state-of-the-art LLM-driven techniques for abuse detection, classification, and prevention. Design and develop production-ready systems that detect and disrupt abusive behavior across the Vercel platform. Build, maintain, and fine-tune internal tools, datasets, and evaluation pipelines for trust and safety workflows. Collaborate closely with security, product, and infrastructure teams to bring research ideas into stable, scalable production systems. About You: 5+ years of experience in abuse prevention, trust & safety, or security engineering. Strong programming skills in JavaScript/TypeScript and Python. Hands-on experience working with LLMs, including prompt engineering, evaluation, and fine-tuning. Collaborate closely with security, product, and infrastructure teams to bring research ideas into stable, scalable production systems. Solid understanding of cloud infrastructure, including AWS. Strong understanding of real-world threat actor behavior and abuse tactics. Experience owning systems end-to-end, from initial research through production deployment and iteration.     Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $208,000 - $312,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.  Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.  

About Vercel: Vercel is the agentic infrastructure company. We free people and agents to ship what’s next. For more than a decade, Vercel has shaped how the web is built. As the team behind Next.js, v0, and AI SDK, we create products that help builders move from idea to production with speed, security, and exceptional developer experience. Now, software is entering a new era, and the next generation of products will not just be used by people. They will be built, extended, and operated by agents. We are building the platform for that future, trusted by companies like OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. Whether you’re building our products, supporting our customers, growing our community, or shaping our story, you’ll help define what comes next.About the Role:As a member of the AI Gateway Team, you will be responsible for developing and enhancing our AI Gateway platform, which provides a unified API for accessing hundreds of AI models from multiple providers. You will collaborate with a remote and distributed team of engineers to build reliable, low-latency systems that handle rate limiting, intelligent failovers, and seamless integrations, enabling developers to ship AI-powered applications without managing provider-specific complexities. This role focuses on ensuring production-ready reliability for AI workloads, including automatic fallbacks during outages and consistent performance across providers like OpenAI, Anthropic, Google, and more.   What You Will Do: Contribute to the design, implementation, and maintenance of the AI Gateway platform, emphasizing features like unified API endpoints, rate limit management, and intelligent failover mechanisms to boost uptime and reliability. Write clean, efficient, and well-documented code, conducting thorough testing to ensure low-latency responses and stability for high-volume AI inference requests. Collaborate with cross-functional teams, including product managers, AI researchers, and infrastructure engineers, to integrate new AI providers and models while addressing scalability and performance challenges. Engage with the open-source community, contribute to AI SDK and related projects, and align with Vercel's ethos of fostering developer tools. Gather user feedback and analytics to drive innovations in AI Gateway, such as enhanced billing unification, provider-agnostic authentication, and analytics for usage insights. About You: You have at least 5+ years of relevant experience Strong proficiency in JavaScript/TypeScript and experience with backend development, APIs, and cloud infrastructure Experience with AI/ML integrations, API gateways, distributed systems, or handling high-throughput services (e.g., rate limiting, caching, failovers) Experience contributing to or participating in open source projects Excellent communication skills and the ability to work effectively in a collaborative team environment Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $196,000-$294,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re 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.Director, Product Management This is a remote position. We are looking for candidates in the US. The Opportunity: As a Director on the Grafana Labs Product Management team, you’ll develop vision and strategy for a broad product domain, align multiple teams around clear priorities, and ensure product decisions support customer outcomes and Grafana Labs’ business objectives. You’ll own the roadmap, deeply understand customers and the market, and communicate product direction, tradeoffs, and outcomes clearly to customers, senior leadership, and cross-functional partners. Product Managers work closely with Engineering, Design, Technical Writing, Developer Advocacy, Analytics, Product Marketing, and GTM to build and ship products that meet the needs of our very technical customer base. This includes shaping the product story and positioning, supporting launch and field enablement, and helping define pricing and packaging models that reflect the value customers receive while enabling Grafana Labs to capture that value in a way customers can understand and accept. Grafana Labs is building for an AI-first world, and Product Management is accountable for helping define what that means for our products, customers, and the observability industry at-large. We expect PM leaders to actively build fluency with AI tools and workflows, identify where AI can create meaningful customer value, and think strategically about how our products should evolve as users increasingly work with and through AI systems. What You’ll Be Doing: As the Director of Product for Data Collection, Transformation, and Ingestion, you will lead the product strategy for the systems and experiences that help customers generate, collect, transform, and ingest telemetry data into Grafana Cloud, then make that data available for fast, reliable, cost-effective querying. This product domain spans the full telemetry journey: from telemetry generation and instrumentation, through collection, transformation, ingestion, and querying. This includes OpenTelemetry SDKs and instrumentation libraries, Grafana Beyla, the OpenTelemetry Collector, and Grafana Alloy. It also includes Adaptive Telemetry, a Grafana Cloud capability that helps customers control telemetry volume and cost while preserving the data that matters, and Grafana Labs’ world-class telemetry databases - Mimir, Loki, Tempo, and Pyroscope - all of which support massively high-scale ingestion and querying. This role will shape one of the most foundational parts of Grafana Cloud: how customers send us data, how we help make that data usable, and how we turn this foundation into a differentiated product experience. You will guide strategy across multiple engineering teams and product areas, helping Grafana Labs build a cohesive, opinionated, and scalable data path for metrics, logs, traces, profiles, and other telemetry signals. You will ensure this data path supports Grafana Labs’ full-stack observability strategy, including our opinionated, integrated solutions such as Frontend Observability, Application Observability, and Kubernetes Observability, while also serving customers who use Grafana Cloud’s hosted metrics, logs, traces, and profiles offerings to create observability experiences tailored to their own business and technical needs. You will also help define how this domain evolves in an AI-first world. That means thinking beyond how humans configure collectors, pipelines, transformations, and ingestion workflows today, and considering how AI can help customers generate better instrumentation, optimize telemetry volume and quality, troubleshoot collection issues, query more efficiently, and interact with Grafana Cloud through both user-facing and agent-facing experiences. You will manage a team of Product Managers and be accountable for helping them set clear strategy, make strong prioritization decisions, work effectively with their cross-functional partners, and grow in their careers. You should be equally comfortable coaching a PM through a tricky tradeoff, aligning with Engineering Directors on a multi-quarter roadmap, presenting strategy to senior leadership, and explaining Grafana Labs’ approach to telemetry collection, transformation, and ingestion to customers. As Director of Product Management at Grafana Labs, you will:   Develop and own the product vision and strategy for Data Collection, Transformation, and Ingestion as a core platform capability for Grafana Cloud Partner closely with senior R&D leaders to align product and technical strategy across teams, make clear tradeoffs, and ensure the roadmap balances customer value, platform leverage, operational excellence, and business impact Use customer research, product analytics, competitive insight, and business context to identify the highest-impact problems to solve Define how AI should influence this domain, including how it can help customers instrument applications, configure collection, transform telemetry, control cost, improve data quality, query more efficiently, and troubleshoot ingestion issues more intelligently Build strong relationships with customers and prospects, especially technical buyers and observability practitioners Help GTM teams understand product differentiation, customer value, roadmap direction, AI relevance, and market positioning Coach and develop Product Managers, helping them strengthen their product judgment, strategic thinking, communication, stakeholder management, and ability to drive high-quality outcomes with their cross-functional teams Create a high-accountability, high-trust environment where PMs and cross-functional teams understand what matters, why it matters, and how their work contributes to Grafana Labs’ success   What Makes You a Great Fit: Significant Product Management experience, including leading product strategy across multiple teams, product areas, or complex technical workflows Experience directly managing Product Managers, including coaching, feedback, performance management, hiring, and career development Strong technical fluency in infrastructure, cloud platforms, observability, telemetry, data pipelines, high scale databases, or other developer/infrastructure product domains Strong product instincts around AI, including the ability to identify where AI can create meaningful customer value in technical products used by developers, operators, SREs, platform teams, or infrastructure teams Strong customer empathy and strategic judgment, with the ability to translate complex customer problems into clear product strategy, roadmap priorities, and tradeoffs Strong cross-functional leadership and communication skills, with experience influencing Engineering, Design, Technical Writing, Developer Advocacy, Analytics, Product Marketing, GTM, and executive stakeholders The ability to create clarity in ambiguity, help teams make progress without over-prescribing solutions, and operate effectively in a globally distributed, remote-first environment A BS/BA in Computer Science, a related field, or equivalent practical experience Bonus Points For: Experience with OpenTelemetry, Prometheus, Grafana Alloy, Grafana Mimir, Grafana Loki, Grafana Tempo, and/or Grafana Pyroscope Experience with ETL, telemetry pipelines, large-scale data processing, or data transformation workflows, including sampling, filtering, enrichment, routing, or cost/performance optimization Experience with high-scale databases, distributed systems, or big data platforms Experience building AI-enabled product experiences for technical users, including developers, SREs, platform engineers, or infrastructure teams Experience with agent-facing product design, AI-assisted workflows, or how products should evolve when users increasingly delegate tasks to AI systems Experience working at an open source or commercial open source company Experience partnering with GTM teams on positioning, packaging, pricing, launch strategy, or field enablement for technical products Experience leading product strategy for platform capabilities that serve multiple product lines or customer segments In the US, the base compensation range for this role is $263,065 - $315,678. 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.