Вакансии

Location: United States 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. PROOF OF WORK   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. The Agent Systems team is a 0→1 engineering group building internal AI-powered agents that interact directly with company systems. The mandate is to dramatically increase internal speed of execution through automation, intelligent inference, and workflow orchestration. This team operates at the intersection of AI, backend systems, and applied product engineering. The work is pragmatic and fast-moving — prototypes are expected, but the bar for production reliability remains high. Engineers on this team move fluidly between experimentation and shipping, building systems that reason over user interactions and take meaningful action across internal tools. You’ll work closely with cross-functional partners across product, infrastructure, and internal operations to deploy agent-driven capabilities that compound leverage across the organization.   THE OPPORTUNITY - Build and ship AI-powered agent systems that automate internal workflows and decision paths - Design and implement inference pipelines that reason over user interactions across internal systems - Prototype quickly to validate agent behaviors, then productionize what proves valuable - Architect backend services that integrate with multiple internal APIs and data sources - Define patterns for safe, observable, and controllable agent execution - Collaborate cross-functionally to identify high-leverage automation opportunities - Improve system speed, reliability, and signal quality as usage scales - Contribute to foundational design decisions for a 0→1 agent platform   SKILLS YOU SHOULD HODL - 5+ years of experience building and shipping production software systems - Strong backend engineering fundamentals (APIs, distributed systems, data modeling, reliability) - Experience building fullstack systems, with comfort working across backend and occasional frontend surfaces - Hands-on experience working with AI/ML systems, LLMs, or inference pipelines in production - Ability to prototype rapidly while maintaining a clear path to production-grade architecture - Strong systems thinking — able to reason about orchestration, failure modes, and observability - Comfort operating in ambiguous, 0→1 environments with high ownership   NICE TO HAVES - Experience building or operating agent-based systems or autonomous workflows - Familiarity with prompt engineering, evaluation frameworks, or model performance tuning - Experience integrating with internal enterprise systems (CRM, support tools, analytics platforms, etc.) - Background in building developer platforms or internal tooling - Experience designing guardrails, sandboxing, or safety layers for AI systems 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 Twitter 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: United Kingdom; Brazil; United Arab Emirates; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; 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. PROOF OF WORK   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. The Agent Systems team is a 0→1 engineering group building internal AI-powered agents that interact directly with company systems. The mandate is to dramatically increase internal speed of execution through automation, intelligent inference, and workflow orchestration. This team operates at the intersection of AI, backend systems, and applied product engineering. The work is pragmatic and fast-moving — prototypes are expected, but the bar for production reliability remains high. Engineers on this team move fluidly between experimentation and shipping, building systems that reason over user interactions and take meaningful action across internal tools. You’ll work closely with cross-functional partners across product, infrastructure, and internal operations to deploy agent-driven capabilities that compound leverage across the organization.   THE OPPORTUNITY - Build and ship AI-powered agent systems that automate internal workflows and decision paths - Design and implement inference pipelines that reason over user interactions across internal systems - Prototype quickly to validate agent behaviors, then productionize what proves valuable - Architect backend services that integrate with multiple internal APIs and data sources - Define patterns for safe, observable, and controllable agent execution - Collaborate cross-functionally to identify high-leverage automation opportunities - Improve system speed, reliability, and signal quality as usage scales - Contribute to foundational design decisions for a 0→1 agent platform   SKILLS YOU SHOULD HODL - 5+ years of experience building and shipping production software systems - Strong backend engineering fundamentals (APIs, distributed systems, data modeling, reliability) - Experience building fullstack systems, with comfort working across backend and occasional frontend surfaces - Hands-on experience working with AI/ML systems, LLMs, or inference pipelines in production - Ability to prototype rapidly while maintaining a clear path to production-grade architecture - Strong systems thinking — able to reason about orchestration, failure modes, and observability - Comfort operating in ambiguous, 0→1 environments with high ownership   NICE TO HAVES - Experience building or operating agent-based systems or autonomous workflows - Familiarity with prompt engineering, evaluation frameworks, or model performance tuning - Experience integrating with internal enterprise systems (CRM, support tools, analytics platforms, etc.) - Background in building developer platforms or internal tooling - Experience designing guardrails, sandboxing, or safety layers for AI systems       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 Twitter 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: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity, and we would be interested in applicants located in the US or Canada. The Opportunity: At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence. The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for a Senior Software (Database) Engineer to help build the underlying storage system for our general purpose data platform. The database layer has both OLAP and OTLP capabilities to support classic analytics queries while also serving up freshly stored data. It embraces the separation of compute and storage and is designed to run on multiple cloud providers. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. What You'll Be Doing: Take ownership over and build one or multiple parts of the database: Design, implement, test, and operate ingestion, query planning, distributed query execution, data formats, storage formats. Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant database service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries. Power agent-facing retrieval workflows: Build APIs and database interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve data quickly. Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production. Operate what you build: Instrument database services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability. Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area. Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. Ownership and impact: Take full ownership of the database solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. What Makes You a Great Fit: Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making design decisions with minimal supervision. AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset. Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Experience with distributed systems, catalogs and table formats, query engines. Mastery of a programming language like golang, C++, or Rust Proven track record of delivering software that made it into production and is actively used by users. Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure). Experience using observability tools to understand and troubleshoot system behavior. Bonus Points for: Experience building distributed query engines. Experience building data warehouses and/or data lakes. Experience building tools for data engineering. How we work: We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. Compensation & Rewards: In Canada, the Base compensation range for this role is $ 164,490 - $197,389. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity, and we would be interested in applicants located in the US or Canada. The Opportunity: At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence. The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for a Senior Software (Database) Engineer to help build the underlying storage system for our general purpose data platform. The database layer has both OLAP and OTLP capabilities to support classic analytics queries while also serving up freshly stored data. It embraces the separation of compute and storage and is designed to run on multiple cloud providers. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. What You'll Be Doing: Take ownership over and build one or multiple parts of the database: Design, implement, test, and operate ingestion, query planning, distributed query execution, data formats, storage formats. Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant database service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries. Power agent-facing retrieval workflows: Build APIs and database interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve data quickly. Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production. Operate what you build: Instrument database services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability. Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area. Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. Ownership and impact: Take full ownership of the database solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. What Makes You a Great Fit: Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making design decisions with minimal supervision. AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset. Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Experience with distributed systems, catalogs and table formats, query engines. Mastery of a programming language like golang, C++, or Rust Proven track record of delivering software that made it into production and is actively used by users. Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure). Experience using observability tools to understand and troubleshoot system behavior. Bonus Points for: Experience building distributed query engines. Experience building data warehouses and/or data lakes. Experience building tools for data engineering. How we work: We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. Compensation & Rewards: In the US, the Base compensation range for this role is $ 154,445 - $185,334. 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: Paris ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a Product Operations Manager (Design), you will sit within Mistral's Product Operations function, with a focus on streamlining the operations of the design team. You will own how the Design team operates as a system — its cadences, its rituals, its coordination, and the connective tissue that lets designers focus on design. This role exists because a design org at our scale needs someone whose full-time job is the operating system itself: defining it, holding it, and continuously tuning it so the team runs with a heartbeat rather than on ad-hoc heroics. You will own the team's weekly and quarterly cadences — from leadership syncs to planning, retros, and share-outs — and establish how we track work, surface it outward, and make decisions. You'll design the forums where decisions get made and recorded, keep the rituals that create alignment, and aggressively cut the ones that are just overhead. Equally, you are the bridge across the org. You will coordinate the interlocks between Brand and Marketing for upcoming launches, and between Product and Product Design for the build pipeline — so interdependencies are understood and planned for, not discovered at the last minute. You will partner closely with marketing, PMs, engineering, GTM to align design work with go-to-market timing and surface what's shipping before it ships. This is a team-of-one role with a founding design-ops mentality. You will build the discipline from scratch, automate repetitive coordination with AI where it helps, and coordinate people where it matters. You report to the Head of Product Operations, working day-to-day with the Head of Design and the design team. WHAT YOU WILL DO - Define the operating system of the design team — the cadences, forums, rituals, and source-of-truth that keep the team aligned and moving forward. - Own the weekly and quarterly cadences, from leadership syncs and critiques to planning, retros, and headcount-cycle inputs. - Coordinate the Brand × Marketing and Product × Product Design interlocks so design work is surfaced with enough lead time and dependencies are planned, not discovered late. - Establish how the team tracks and shares out work — a single source of truth for status, and the forums where design is made legible to the rest of the org. - Design and hold decision-making forums so decisions get made, recorded, and not relitigated. - Separate ritual from overhead — keep the cadences that create alignment and cut the ones that are just tax. - Automate repetitive coordination, reporting, and tracking with AI so the team spends time on design, not admin. - Bring the wider Product Operations toolkit to the design team — data and analytics for transparent reporting, structured feedback loops and early-access programmes, and launch coordination that aligns design work with product release cycles and go-to-market timing. - Partner with marketing, PMs, engineering and GTM to align design work with go-to-market timing and surface what's shipping. WHAT WE'RE LOOKING FOR - 6–10 years of experience in design operations, product operations, program management, or a chief-of-staff role within a creative or product organization. - A founding design-ops mindset — you've built operational disciplines from scratch, not just maintained inherited ones. - Comfortable automating with AI tools to remove repetitive overhead, while equally skilled at coordinating people and building coalitions without authority. - Strong systems thinking — you design repeatable rhythms and processes, not just run meetings. - Design literacy — enough background to have felt the pain designers feel and to be credible with the team. - A make-it-happen attitude: positive, bias to action, unblocks rather than escalates. - Excellent communication and synthesis skills — you turn scattered signals into a shared source of truth. - Ability to thrive in ambiguity and define your own scope in a role with no playbook and no team to delegate to. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: San Francisco; United States Workplace: Remote LOCATION AND TRAVEL You can be fully remote, based in the United States, preferably in San Francisco. We expect significant travel across the US, with occasional travel to other regions when the audience quality justifies it. The exact cadence will change with the event calendar, but you should expect travel to be a meaningful part of the job.   WHY THIS ROLE? Langfuse has grown mostly through product-led, open-source adoption. We built a strong product, wrote useful docs and examples, stayed close to users, shipped in public, and helped developers understand how to build better AI applications. However, many of the highest-signal moments happen in person: hallway conversations, workshops, meetups, dinners, conference demos, and technical talks. We want someone who can own that motion end to end; put Langfuse in the right AI engineering rooms, make the product clear to technical audiences, and turn in-person conversations into durable marketing momentum. The goal is not to do every event. The goal is to make the right events excellent, scalable, and measurable.   WHAT YOU'LL DO - Represent Langfuse at conferences, meetups, workshops, customer events, partner events, and community gatherings across the US. - Run live demos and technical sessions on tracing, evals, prompt management, datasets, metrics, and related LLM engineering workflows. - Build and maintain field-ready material: demo flows, workshop runbooks, talk abstracts, event landing pages, follow-up emails, signup flows, and conference-in-a-box assets. - Organize Langfuse-hosted meetups, workshops, dinners, and smaller technical gatherings around the highest-quality audiences. - Partner with ClickHouse field marketing, sales, solutions, product marketing, and engineering teams where it helps Langfuse show up well. - Turn event learnings into useful artifacts: better messaging, better demos, better docs, better talks, better customer stories, and sharper product feedback.   WHAT WE'RE LOOKING FOR - You have worked in DevRel, product marketing engineering, solutions engineering, field engineering, developer advocacy, or technical community roles. - You have spoken at developer conferences, meetups, workshops, webinars, or technical customer events. - You already create technical content, demos, videos, talks, open source projects, or educational material. - You should be excited to travel, give talks, run demos, host events, talk to developers and technical leaders, and bring what you learn back into the company. - You care about developer experience, open source, AI engineering, and the quality of the rooms you spend time in. - You are comfortable with ambiguity and can independently decide what to do before there is a mature playbook. - Excellent written and verbal communication skills, with the ability to articulate complex concepts clearly and concisely. A strong plus: - You are a former engineer, or deeply technical operator who can credibly explain software to experienced developers. - You can write code well enough to build, debug, and maintain demos or workshop material. - You are deep in AI engineering, LLM observability, evals, agents, or developer tools. - You have original opinions that experienced developers value. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: North America - Remote Workplace: Remote Douro Labs is the core development team behind the Pyth Network. We're looking for a Market Analyst to track the crypto markets, specifically prediction markets and perpetual futures, and turn that understanding into business opportunities for Pyth. This role is for an analyst who can read the market and explain why it matters to us: someone who can pull on-chain and venue data to quantify a new trend one hour and write the report that convinces the team to act on it the next. You will serve as our eyes on two of the fastest-moving areas in crypto, covering the market side (monitoring events, trader conversations, volumes, and new venues across prediction markets and perps) and the product side (translating that research into a clear picture of our users and concrete opportunities for Pyth). - Location: Remote (US or Europe) - Type: Full-time - Reports to: Head of Technical Operations About Our Team and Your Role We are a well-rounded team: half of us are tech whizzes, while the other half excel in building partnerships with institutional clients, prime brokers, and the global financial infrastructure community. Curiosity and rigor are key to how we operate. Remote Work: Our team is spread across the globe, from the US and South America to Europe and Asia. We are a digital-first organization where remote work is the norm. Startup-level Speed: We thrive in the dynamic DeFi space and need an analyst who can go from question to answer quickly, without waiting for direction. The Mission: You will be shaping how Pyth grows in prediction markets and perpetual futures. As these markets expand and new venues launch, your research will inform where we build next and how we serve the teams building on our data. About the Role This is a hybrid research/strategy role. At the outset, you'll monitor prediction markets and perps day to day and connect what's happening to our business. Over time, your research is expected to directly shape product decisions and new opportunities across Pyth. We want research that leads to action: every piece of work should end with a clear view on what it means for Pyth and what we should do about it. Responsibilities Market Monitoring - Track news, launches, and structural shifts across prediction markets and perpetual futures - Monitor the conversations where traders are active, including X, Discord servers, Telegram groups, and other trader communities, to spot sentiment shifts and emerging trends early - Follow volumes, open interest, funding rates, and market share across major venues - Connect recent events to their impact on Pyth and share timely takeaways with the team - Maintain a current view of the competitive landscape, including oracles and data providers serving these markets User Research - Research prediction market and perps protocols to understand how they use price data - Map who our users are, what they need, and where current solutions fall short - Build dashboards and datasets the team can use to follow these markets Product Opportunities - Turn research findings into concrete product ideas for Pyth - Size opportunities using market and on-chain data - Work with product, engineering, and BD to prioritize and pressure-test ideas - Track how launched initiatives perform against the original thesis Research and Reporting - Write clear, convincing research reports for internal and external audiences - Present findings and recommendations to leadership - Build a repeatable research process the team can rely on About You - Background as an analyst at a crypto research firm or in a research/data role at a perps exchange or prediction market - Deep understanding of prediction market and perpetual futures market structure - Active in trader communities and comfortable picking up signal from X, Discord, and Telegram - Proficient with data analysis tools (SQL, Python, Dune or similar) - Strong writer with a track record of research that drives decisions - Analytical and a self-starter, comfortable owning a research agenda independently - Comfortable with startup pace and evolving scope Think you've got what it takes to build the most talented team in the world? We'd love to meet you.

Location: Bangalore, India 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. Engineering Manager, Production Engineering - Observability An overview of this role You'll lead the globally distributed Observability team. The team builds and operates the metrics, logging, alerting, and capacity planning platforms that GitLab engineers use to understand GitLab.com and GitLab Dedicated. You'll help determine how the team collects, stores, queries, and acts on telemetry, balancing reliable signals with scale and cost. In your first year, you'll guide improvements to Prometheus-based metrics pipelines, log ingestion and retention, alerting driven by service-level objectives (SLOs), and capacity forecasting. You'll work with Site Reliability Engineering, Product Engineering, and other Infrastructure Platforms teams to make it easier for engineers to observe the services they own. You'll also take part in incident response and help keep the team's on-call work sustainable. What you’ll do Lead, hire, onboard, and develop a distributed engineering team working asynchronously. Set priorities with Site Reliability Engineering, Product Engineering, and GitLab Dedicated teams, and help the team deliver observability services iteratively. Own the reliability, scalability, and cost of the team's metrics, logging, alerting, and capacity planning platforms. Reduce noisy or missing alerts and telemetry gaps, and use SLOs, error budgets, and self-service instrumentation to help engineers maintain the health of their services. Guide technical decisions about time-series storage, high-cardinality metrics, log pipelines, and distributed tracing. Participate in the Incident Manager On Call (IMOC) rotation, coordinating the response to high-severity incidents affecting GitLab.com . Keep the team's on-call rotation sustainable through coverage across time zones, useful runbooks, better alerts, and follow-through on post-incident actions. Use AI tools and agents to support engineering workflows and incident triage, reviewing their output while engineers retain responsibility for decisions. What you’ll bring Experience leading an observability, platform engineering, or site reliability engineering team operating at scale, including supporting people in a distributed, asynchronous environment. Technical knowledge of metrics systems such as Prometheus and long-term storage, logging platforms such as Elasticsearch or cloud-native services, and alerting design. Experience using SLOs, error budgets, and capacity forecasts to make reliability and investment decisions. Experience operating a large software-as-a-service platform and investigating production issues such as telemetry gaps, ingestion limits, or noisy and missing alerts. Experience participating in and improving production on-call rotations, including incident coordination and balancing operational load with project work. The ability to explain technical tradeoffs to engineering partners and other stakeholders. Experience using AI tools or agents in engineering or management work; you can describe how you would apply them to operational problems such as incident triage. We welcome different paths into this role, whether through practical experience, formal study, or transferable skills. If the work interests you, please apply even if you don't meet every qualification. About the team We're part of Production Engineering within Infrastructure Platforms and work asynchronously across regions. Our tools include Tamland, the capacity forecasting tool. We bring lessons from operating GitLab's production systems back into the platforms we build. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Remote - Canada What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote Little more about the team: AI agents at Honeycomb investigate, reason, and act on real observability data. They live in Canvas: the agentic workspace where engineers go to understand their systems. The Agentic Intelligence team has shipped Canvas, the Honeycomb MCP server, and the Canvas Agent and Canvas Skills surfaces. What we're looking for today is someone who brings deep agent expertise and uses it to expand what the team can build: new agents, new surface area in Canvas, memory, spatial awareness, improved performance on our Bedrock loop. Honeycomb's data store is fast and accepts high cardinality data; that's what makes agents built on top of it different from anything built on a conventional observability backend. This role is about taking advantage of that building agents that can do things no other observability product can do because the underlying data makes it possible. Some of this work will start as a prototype. The expectation is that the code makes it through the full arc, from the rough first version through to something that holds up in production. What you'll do Design and deliver production-grade agents. Build agents that investigate, reason, and act on live observability data inside Canvas. These agents must be trustworthy to engineers in high pressure situations, including mid-incident. Take one from rough first version to something that holds up under production traffic. Own the agent work; support the whole product. Scope, build, ship, and maintain the agents including the evals that tell you whether they got better or are just different. This role is agent-focused and also includes some fullstack development. Build agents only Honeycomb can build. Use a data store that returns high-cardinality queries in seconds to reason over signal a conventional backend can't serve at this fidelity correlating across services, drilling into a single trace, comparing before and after a deploy. Extend the surface, and decide what's next. Ship new capability into Canvas, the MCP server, and Canvas Skills memory, spatial awareness, a faster Bedrock loop and make the case for what comes after with working code. Distinguish hype from signal in a field with plenty of both. Define what "good" means for agents here. Set the bar: measurable against real evals, maintainable, and honest about their limits. Example projects Multiple agents collaborating on one shared Canvas investigation each claiming a hypothesis, publishing findings, and narrowing the search space for the others so it resolves faster (blog). Auto-investigation the moment an SLO burn alert fires the agent forms hypotheses and prepares visualizations before a human looks, cutting mean-time-to-insight for on-call (o11ycon 2026). Skills that encode a team's domain expertise e.g. Kubernetes thresholds so agents and human colleagues can lean on them (o11ycon 2026). What you'll bring: AI and agent engineering experience. You've shipped LLM-based systems people relied on in production not demos, not fine-tuned models in a research context. You know where agent systems break and how to design around it. End-to-end ownership. On a small team there's no handoff queue. You can take something from rough prototype to production-grade without needing someone behind you to do the durable engineering. Current judgment, not just past experience. You have informed opinions about what's shifted in agent design in the last six to twelve months that would change how you'd build today. Agent architecture depth. You understand how a fast, high-cardinality data store changes what an agent can reason about, and how to design for that. Product judgment. You can look at what the agent layer does today and see what it should do next and make that case with a prototype, not a deck. Even better Observability or developer-tools background. Engineers are your users; you'll ramp faster with fluency in that world, and the work is better. Familiarity with eval frameworks, agent tooling, RAG, and prompt engineering. Base Salary based on level of experience $250,000 — $280,000 CAD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: All communications will come from an @honeycomb.io email address We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses— never personal accounts like Gmail or Yahoo . Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: Social security or tax identification numbers Credit card numbers Bank account information Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice . If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io . Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. ABOUT THE ROLE: Help turn “I built a business” into “I have customers.” As a Staff Software Engineer on Replit’s Money team, you’ll help shape Agentic Ads: an emerging area focused on using AI to make customer acquisition more accessible to businesses built on Replit.   This role focuses on intelligent, advertiser-facing software—not ad-serving infrastructure, an ad exchange, or a real-time bidding engine. You’ll tackle problems at the intersection of AI, business growth, measurement, and trustworthy automation, turning complex decisions into clear, useful experiences.   You’ll help define a new product area, working closely with product, design, and engineering to discover customer needs and deliver practical solutions. This is a hands-on Staff role: you’ll own architecture, lead delivery across teams, mentor engineers, and turn an ambitious vision into incremental customer value. YOU WILL: - Set technical direction for Agentic Ads, translating customer needs into an architecture and roadmap that balance rapid learning with long-term reliability. - Build agent-powered experiences that help businesses make informed growth decisions, translating user goals into understandable recommendations and appropriately authorized actions. - Design extensible integrations with external services, using well-defined APIs and abstractions that accommodate changing provider capabilities and requirements. - Partner with product and data teams to establish reliable measurement, connect product activity to business outcomes, and address data quality, delayed feedback, and uncertainty. - Develop intelligent automation that learns from performance signals and helps users improve outcomes within their goals and constraints. - Make financial control a product requirement: scoped authorization, explicit approvals, budget limits, auditable decisions, clear reporting, and reliable pause controls. Distinguish recommendations from actions that commit customer spend. - Make cross-platform workflows reliable with durable state, idempotency, safe retries, reconciliation, observability, and recovery from partial failures, expired credentials, rate limits, and provider API changes. - Establish agent evaluations and production monitoring for plan quality, tool selection, policy compliance, spend safety, and verified execution. Partner on experiments that distinguish attributed results from incremental customer value. - Lead ambiguous initiatives across product, design, AI, data, security, and partnerships. Stay hands-on with implementation, define incremental milestones, mentor engineers, and own the quality and operation of what the team ships. REQUIRED SKILLS AND EXPERIENCE: - A track record of Staff-level technical leadership on complex customer-facing products or platforms: setting direction, resolving ambiguity, and delivering through launch and production operation across multiple teams. - Strong hands-on software engineering and system design skills across APIs, data modeling, distributed systems, asynchronous workflows, and customer-facing product experiences. - Experience building and operating third-party integrations that remain correct under duplicate requests, partial failures, rate limits, changing schemas, and inconsistent external state. - Practical experience shipping LLM-powered products or agentic workflows, including tool use, orchestration, evaluations, and safeguards for actions taken against external systems. - Strong data and measurement judgment: experience using instrumentation and experiments to evaluate product outcomes, and the ability to reason about noisy data, delayed feedback, uncertainty, and correlation versus causation. - Sound judgment around systems that act on a user’s behalf, including authentication, authorization, sensitive data, approval boundaries, and limits on consequential actions. - Demonstrated ability to align cross-functional teams, explain technical trade-offs, mentor engineers, and drive execution without relying on reporting authority. - A product-minded approach to simplifying complex workflows for non-experts, with hands-on ownership from prototype through reliable production operation. PREFERRED QUALIFICATIONS - Experience building advertiser-facing products, marketing automation, campaign-management tools, growth platforms, or software that helps businesses acquire customers. - Experience integrating advertising or marketing APIs; familiarity with account onboarding, campaign lifecycles, and platform requirements. - Working knowledge of conversion tracking, attribution, customer acquisition cost, return on ad spend, budget pacing, and the limits of optimizing with low conversion volume. - Experience with experimentation, incrementality measurement, constrained optimization, recommendation systems, or decision-making under uncertainty. - Experience building permissioned, multi-tenant products with approval workflows, budget controls, audit trails, and privacy-aware handling of customer and conversion data.   BONUS POINTS: - Experience with agent tooling, durable workflow execution, delegated authorization, or evaluation frameworks for agents that take consequential actions. - Experience connecting application events or server-side conversion signals to advertising platforms, or integrating creative generation and landing-page experimentation into growth workflows. - Experience building for small businesses or first-time advertisers, where clear guidance, limited budgets, and sparse data shape the product. - These are additional strengths, not a checklist. Experience with every ad platform is not expected; ad-serving infrastructure experience and an ML research background are not prerequisites. WHAT WE VALUE: - Customer outcomes: success means helping a business acquire qualified leads and customers—not merely connecting an account, launching a campaign, or increasing spend. - User control and trust: agents explain recommendations, act within explicit authority, and make budgets, costs, and consequential changes understandable. - Evidence over activity: we validate measurement, acknowledge uncertainty, and test whether a change improves business outcomes rather than treating attribution as proof of causality. - End-to-end ownership: we own the journey from a business goal through campaign execution, measurement, and ongoing improvement. - Pragmatic technical leadership: we build on existing ad platforms, ship focused increments, and invest in correctness and extensibility where they matter. - Clear collaboration: we document decisions, surface risks early, and help other teams and partners succeed. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: Canada; 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. _______________________________________________________________________ Docker's Product-Led Growth (PLG) team owns turning product usage into revenue across the full Platform: the Container business (Docker Desktop, Docker Hub, Docker Build Cloud, Docker Scout) and the AI business (Sandboxes, AI Governance, Model Runner, MCP Toolkit, MCP Catalog). Lifecycle marketing is one of the fastest-scaling parts of that team: it already owns user and admin nurtures, renewal automation, and first-touch outreach for PQLs and inbound leads, running against a marketable base in the tens of millions. As Senior Lifecycle Marketer, you'll report directly to the VP of PLG and partner closely with our existing lifecycle marketing lead. You'll take ownership of assigned products, audiences, and lifecycle stages, with real input into shaping the approach for what you own, not just shipping someone else's plan, and you'll help turn a fast-growing list of priorities into a structured, scalable lifecycle engine. WHAT MAKES SOMEONE SUCCESSFUL IN THIS ROLE - Lifecycle Fluency: You think in full user journeys, not campaigns. You've done lifecycle marketing specifically, not just growth or demand gen, and you know how nurture, activation, retention, and renewal connect across a product's full lifecycle. - Builder's Mindset: You'd rather own a program end to end, strategy, build, QA, and send, than hand pieces of it off. You bring structure to ambiguity: turning a fast-growing list of priorities into themes, a build queue, and a sequenced roadmap. - Audience & Signal Validation: You know how to validate an audience and its underlying signal before it ships: spot-checking record-level data, sanity-checking targeting logic, and catching a bad segment before it reaches users. You don't need to write SQL yourself, but you can work directly with data teams to confirm a list is right. - Cross-Functional Operator: You operate well across marketing, sales (BDR and renewals), data, and design/agency partners, and you know how to keep programs moving even when you don't own every dependency. - Marketing Automation Execution: You've personally built campaigns in Marketo or an equivalent platform, not just briefed them: audience builds, suppressions and contact governance, pre-send QA and live proofs, and launch monitoring, including troubleshooting a broken data sync in the moment. - Technical Translation: You can take a technical product or a raw usage signal, a feature adoption event, a usage threshold, a new capability, and turn it into messaging that reads credible to a developer or admin, not generic marketing copy. RESPONSIBILITIES - Build the Lifecycle Engine: Own and build lifecycle campaigns (email and in-product messaging) across Docker's Container and AI Platform products, including Sandboxes and AI Governance, for both end users and admins. - Scale Programmatic Sends: Design and run large-scale programmatic sends, such as recurring account health checks, to a base in the tens of millions, working within the team's marketing automation stack (currently Marketo and Mailgun; expect a platform transition in the next 6–12 months). - Automate Lead and Renewal Motions: Stand up and run automated first-touch flows for PQLs and inbound leads, in partnership with BDR and renewals stakeholders. - Validate Audiences & Signals: Partner with data and growth engineering to pull the usage signals campaigns depend on (Snowflake and internal data tools), and validate that an audience and its underlying signal are correct before every send. - Manage Suppressions & Contact Governance: Own suppression lists and contact governance rules so campaigns stay compliant and don't over-message or reach the wrong audience. - QA, Launch Monitoring & Troubleshooting: Run pre-send QA and live proofs on every campaign, monitor launches as they go out, and troubleshoot issues in real time, including broken data syncs. - Translate Signals into Messaging: Turn technical product usage and adoption signals into messaging that reads credible and useful to developers and admins, not generic marketing copy. - Shape and Sequence Strategy: Take a fast-growing list of priorities and turn it into a concrete build queue: itemize the work, sequence it, and flag capacity or dependency issues early. - Coordinate Design & Agency Partners: Work with design and agency partners to keep campaign quality and turnaround on track. - Operationalize Reporting: Own naming, tracking, and reporting on programs so the rest of the team has visibility into what's live, what's next, and what it's driving. QUALIFICATIONS - Lifecycle Marketing Experience: A background specifically in lifecycle marketing, not pure growth or demand gen, ideally inside a PLG or self-serve motion. - Proven Program Ownership: A track record of owning campaigns end to end (strategy, build, QA, send) and shipping programs that moved a real metric: activation, retention, or renewal conversion. - Marketing Automation Build Experience: Hands-on build experience in Marketo or an equivalent marketing automation platform: audience builds, program/campaign setup, suppressions and contact governance, pre-send QA and live proofs, and launch monitoring. - Data & Targeting Validation: Comfortable working directly with data teams to validate record-level data and targeting logic, for example auditing who's actually in a segment or spot-checking a list against expectations. Writing SQL yourself is a plus, not a requirement. - Technical-to-Message Translation: A track record of turning a technical product or a raw usage signal into messaging that reads credible to a developer or admin audience, not generic marketing copy. - Technical Familiarity: Comfort navigating developer ecosystems, cloud infrastructure, or complex multi-product software platforms. - Independent Ownership: Senior-level judgment and ownership as an individual contributor: you can run with ambiguity and drive a program without every step spelled out, and you collaborate well with another senior peer on the team. WHAT TO EXPECT FIRST 30 DAYS - Immerse & Align: Get up to speed on Docker's PLG motion, product surface area (Container and AI), and the programs lifecycle already owns. Build a working relationship with data, BDR, renewals, and design/agency partners. - Program & Tooling Audit: Audit the current state of user and admin nurtures, renewal automation, and PQL/lead outreach, and get familiar with the Marketo/Mailgun stack and its upcoming transition. - Roadmap Calibration: Work with the lifecycle team to turn the current priority list into themes, a build queue, and a sequenced roadmap. FIRST 90 DAYS - Ship Owned Campaigns: Take ownership of at least one full program, such as an admin nurture flow or a PQL first-touch sequence, from build through send. - Contribute to Renewal Automation: Stand up a first version of automated renewal outreach in partnership with the renewals team. - Build the Reporting Cadence: Put in place naming, tracking, and reporting so the team has clear visibility into what's live and what it's driving. ONE YEAR OUTLOOK - Own a Mature Program Set: Own a mature, scaled set of lifecycle programs across your assigned products, audiences, and lifecycle stages. - Prove Impact: Show measurable lift in activation, retention, or renewal conversion tied directly to your programs. - Scale the Function: Help lifecycle marketing operate as a predictable, automated engine rather than a set of one-off campaigns, as scope keeps expanding across the Platform. Docker does not offer visa sponsorship for this role.   Compensation & Equity Canada: CA$160,300– CA$229,000 + equity United States: $115,500 – $165,000 + equity ______________________________________________________________________ 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

About Our Summer Internship Program Our Summer Internship Program is designed for students entering their final year of university who are eager to gain meaningful, real-world experience in a fast paced, collaborative, and professional environment. As a Summer Intern, you'll participate in a comprehensive onboarding experience led by our University Relations team to set you up for success from day one. Throughout the program, you'll also have the opportunity to participate in weekly professional development sessions, networking events, social activities, and other engaging experiences designed to support your personal and professional growth. The program takes place from June – August 2027 (10-week program). Your Role As a Campaign Marketing Intern, you will support the planning and execution of global marketing programs that drive prospect and customer engagement, sales signals, and pipeline. This role provides hands-on experience in campaign marketing and cross-functional coordination with product marketing, field marketing, execution teams, and agencies. You’ll learn how campaigns come together from strategy to execution, touching everything from messaging and segmentation to digital channels, analytics, and optimization. This internship is ideal for students interested in future roles in campaign marketing, demand generation, digital marketing, or broader go-to-market teams. Key Responsibilities Campaign Support: — Support development of targeted outreach campaigns tied to Veeam’s Go To Market (GTM) framework — Assist with segmentation lists, project tracking, and campaign performance monitoring — Create promotional Bill of Materials (BOM) to drive engagement and pipeline for our GTM — Help ensure messaging aligns with global priorities and audience needs Digital Marketing Channels: — Work closely with Demand Gen execution teams to deliver campaign results, including email marketing, digital advertising, online events, and web — Shadow execution team meetings to dive deeper into the various execution arms of Demand Gen Analytics & Insights: — Conduct analysis on campaign and segment performance, diving into what is working, not working, and compiling recommendations — Propose A/B tests and optimizations to help improve performance — Analyze content and channel patterns and present to campaign leaders Qualifications — Rising Junior or Senior currently pursuing a degree in Marketing, Business, Communications, or related field — Strong organizational skills with the ability to manage multiple moving pieces — Excellent written and verbal communication skills — Proficiency in Microsoft Office Suite (especially Excel and PowerPoint) — Interest in campaign marketing, digital marketing, or global marketing — Comfortable working in a fast-paced, collaborative environment — Detail-oriented with a proactive, problem-solving mindset Benefits As a paid intern at Veeam, you’ll receive: — Paid Company Holidays during your internship — Tech Stipend to help set up your workspace — 8 Hours of Paid Volunteer Time through our Veeam Cares Program — Personal and Professional Development through our Internship Program The pay range posted is an hourly rate of base pay. When making an offer of employment, Veeam will take into consideration the candidate’s expectations, experience, education, scope of responsibility for the role, and the current market demands. Veeam Software is an equal opportunity employer and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential. Personal data collected during the recruitment process will be processed in accordance with our Recruiting Privacy Notice, which explains how your information is collected, used, and handled in connection with hiring activities. By applying for this position, you consent to this processing. By submitting your application, you confirm that the information provided, including any supporting documents, is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification may result in disqualification from consideration or, if discovered after employment begins, termination of employment.

Location: United States (Remote) Workplace: Remote About Teleport Don't wait for the future of infrastructure. Be part of it. Teleport is the AI Infrastructure Identity Company. We're solving one of the hardest problems in security: giving every human, machine, workload, and AI agent a cryptographically secured identity, improving engineering velocity while maintaining security. We make trusted computing simple. This gives you the freedom, power, and autonomy to build and innovate with confidence. Remote-first and globally distributed, we work with companies like Nasdaq, DoorDash, and Elastic to secure infrastructure for an AI world. About the Role: Our Teleport Account Development Mission: Build a consistent pipeline. Provide relevant value to future customers. Enable the next Teleport leaders.   What You'll Do: - Support multiple Enterprise sales territories - Schedule meetings with key stakeholders from three sources - Outbound prospecting to good-fit accounts showing intent signals - Qualifying Marketing Qualified Leads - Qualifying Inbound requests Collaborate with your Account Executive(s) on enterprise accounts and to refine call and messaging strategies - True multi-channel outreach (call/email/social) with a heavy emphasis on using the phone to drive quality conversations - Establish best practices and efficient processes for a modern Outbound sales motion - Work closely with Account Executive(s) to refine account strategiesIdentify trends from prospective customers to share with the product, marketing, and customer success teams - Track all sales activity in our CRM (Salesforce) and Outreach - Achieve or exceed monthly quotas for New Meetings Completed and quarterly quotas for Pipeline Opportunities   What We're Looking For: - Experienced: have 1 -2 years experience as an Enterprise Account Development Representative (ADR / SDR / BDR), preferably at a SaaS company with a technical product and a heavy emphasis on growing Outbound pipeline. - Strategic: able to strategize with Sales peer to schedule conversation with new Ideal Customer Profile Enterprise accounts - Quick Learner: able to grasp new technical concepts quickly in a diverse SaaS space - Collaborative Team Player: able to collaborate with your team and other teams daily - Passionate: loves the craft/process and providing the best experience for the prospect - Organized: able to manage pipeline of multiple prospects within multiple accounts in a consistent, repeatable way - Adaptable: understands that start ups can change quickly and able to adapt to changes quickly - Coachable: able to take constructive criticism and turn it into something great to further your career goals   What Success Looks Like: - Month 1: 4 week structured onboarding that helps you learn the market, the personas, the tools, the problems that Teleport helps solve; start reaching out to prospects before the end of the month - Month 2: On a half quota, figuring out the best way to use the tools at your disposal to ramp up your territory - Month 3: Now on a full quota, your process is up and running and you are on your way to building your personal prospecting pipeline machine   Tools We Have: - Salesforce - Outreach - LinkedIn SalesNavigator - 6sense - Qualified Chat - Qualified Signals - G2 - AltiSales - Common Room   How We Hire: Our process is designed to be straightforward and respectful of your time. We skip performative rounds and focus on what matters: understanding how you think and what you can do. Why Teleport You're joining a company where the problem is real, the team is small, and your work shows up directly in the product. We're not a big company, you won't get lost in a crowd. You'll have the freedom and autonomy to do what you're great at, alongside teammates who care about doing it right and want to see you succeed. The work is collaborative, there's real room to grow, and the mission is one worth showing up for. Remote-first and globally distributed, we're genuinely passionate about what we're building. The Benefits At Teleport, we believe your career is more important than a list of perks. That's why we focus on making your day-to-day the best it can be — giving you the autonomy, access, and support to do the best work of your career. - Extensive health coverage - Annual expense budget - Rest and recovery policies that maximize your ability to recharge - Investment in your future with retirement savings plans - Professional development opportunities Teleport is an equal opportunity employer and does not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classifications protected by federal, state, or local law. Candidate Privacy Notice: For information about our collection and processing of job applicant personal data for this position, please see our Job Applicant Privacy Policy and Notice of Collection at goteleport.com/legal/apply/job-applicant/ http://goteleport.com/legal/apply/job-applicant/

Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applicants from Canadian EST time zones only. Senior Software Engineer - Session Replay The Opportunity: The Session Replay squad is building a new Grafana Cloud product that helps our customers to understand what users actually experienced when something goes wrong. Session Replay connects frontend signals (errors, performance, synthetic checks) to concrete session-level evidence, enabling faster and more confident investigation of production issues. This team works at the intersection of: frontend observability, backend data processing and storage at scale, debugging workflows across products, privacy and access control, performance and cost constraints at scale. Session Replay is still early, which means you’ll help shape both what we build and how it fits into Grafana Cloud. A key part of our next phase is evolving the backend architecture of capturing sessions, including a migration toward columnar/analytical solution as a primary storage and query engine for high-volume session data. As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. We are looking for Senior Software Engineers who are passionate about working with data and providing seamless experiences for our customers to join our growing team! Our stack is Golang, Typescript and React, but we build tools for people using many other stacks. What You’ll Be Doing: As a Senior Software Engineer, you will operate as a technical leader and systems thinker, driving both product direction and architectural evolution, specifically, you will: Own end-to-end technical direction for Session Replay, spanning frontend, backend, and data systems Drive the evolution of our backend architecture, including: Designing systems around columnar/analytical data storage for large-scale session data Defining data models, ingestion pipelines, and query patterns Lead the design of investigation workflows, connecting replay with logs, metrics, traces and other telemetry across Grafana Cloud Make high-leverage architectural decisions that impact multiple teams and products Partner with teams across Grafana (Frontend Observability, Synthetic Monitoring, Core Grafana) to build cohesive cross-product experiences Engage directly with customers - joining calls, gathering structured feedback, and helping customers instrument and adopt Session Replay successfully. Improve engineering standards, patterns, and operational practices within the team Mentor engineers and help grow technical leadership within the team Technologies you'll work with: Go (backend services and APIs) Columnar/Analytical data storage (core data storage and querying) Object storage (S3, GCS, Azure Blob Storage) and MySQL TypeScript / React (user-facing workflows) Grafana ecosystem (Mimir, Loki, Tempo, etc.) We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What Makes You a Great Fit: You are comfortable working in a remote-first company ; communication is key. For us, working together means being collaborative, friendly, kind, and respectful . We operate by consensus. You can contribute to a discussion, disagree constructively, and commit to the team’s decision. You are able to communicate design decisions clearly in written and spoken English. Ability to reason about data-intensive systems (ingestion, storage, querying, cost trade-offs) You are comfortable owning features in ambiguous problem spaces . We are a small team, working remotely, on a product that will be used by engineers all over the world – the ability to work on your own is crucial. You have a good understanding of a software development process that takes a user-centered approach . You easily build an understanding of the users’ context and goals which will help you build the right solution with the maximum value. You enjoy working on complex solutions – Grafana is a highly technological solution and has avid followers who rely on it every day and who care deeply about their workflows. You value code maintainability, readability & automation. You use AI tools as a natural part of your engineering workflow - whether for accelerating exploration, code review, or reasoning through design tradeoffs - and you're thoughtful about where they help and where they don't. Bonus Points For: Experience with columnar/analytical databases Experience with observability tools (Grafana, Datadog, New Relic, Sentry, etc.). Experience building debugging or developer-focused tools. Familiarity with privacy, security, and access control in data-heavy systems Experience working on performance-sensitive systems (large datasets, real-time queries, session data) Compensation & Rewards: In Canada, the Base compensation range for this role is CAD 164,490 -  CAD 197,389 .  Actual compensation may vary based on level, experience, and skillset as assessed in 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: New York, NY Workplace: Hybrid ABOUT THE COMPANY Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world. You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Dragonfly, Bessemer Venture Partners, Galaxy Ventures, FirstMark, Lightspeed, Norwest, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk. OUR ETHOS We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company. ABOUT THE ROLE Compliance is an intentional product surface at Rain. Every card we issue, every wallet we open, and every dollar that moves across our rails depends on controls that are correct, auditable, and fast enough not to be felt. We are hiring a Senior Product Manager to own that surface end to end. You will own the compliance product area across four connected domains: financial crime (KYC/KYB, sanctions, transaction monitoring), licensing and regulatory readiness, card network and issuing-bank obligations, and the compliance tooling our enterprise partners use to run their own programs. As Rain continues to expand its product suite, you will ensure our compliance product serves our customers’ needs with these new products as well. You will work daily with Compliance, Legal, Risk, Engineering, and Partnerships, and you will be in the room with bank partners, network representatives, and our largest customers' compliance teams. This is an individual contributor role with real scope to grow. WHAT YOU'LL DO • Own the KYC and KYB onboarding experience for consumers and businesses in every market we operate in, tracking and optimizing metrics such as conversion, accuracy, and cost per verified user are all yours. • Build and tune sanctions screening, PEP and adverse media checks, and transaction monitoring, including blockchain analytics for wallet screening and source-of-funds signals. • Drive down false positives and analyst review time without weakening detection, and define the metrics that prove it. • Ship the case management, escalation, and SAR/STR workflows our compliance analysts live in every day. • Translate obligations - state money transmission licensing, EMI and MiCA in the EU, VASP regimes, stablecoin-issuer requirements, Travel Rule, and local equivalents - into requirements engineers can build against. • Partner with Legal and Compliance to make new-market launches a repeatable motion instead of a one-off scramble: jurisdictional configuration, disclosures, data residency, and reporting. • Run regulatory change management as a product process, so a rule change becomes a tracked roadmap item rather than a fire drill. • Own conformance with Visa and Mastercard rules across the programs we run and sponsor - BIN controls, MCC and merchant restrictions, program registration, and network reporting. • Build the controls, evidence, and attestation tooling our issuing banks and BIN sponsors require, and make audits boring. • Partner with Risk on disputes, chargebacks, fraud rules, and authorization-time controls where compliance and fraud overlap. • Turn internal compliance capability into products our partners can use: APIs, dashboards, configurable rule sets, audit logs, and reporting they can hand to their own regulators. • Serve as the product voice in partner compliance diligence, security reviews, and bank onboarding - and feed what you learn there back into the roadmap. • Define how much control a partner gets and where Rain holds the line, clearly enough that sales can sell it and engineers can build it. • Write the strategy and roadmap for compliance product, and defend the sequencing to the exec team. • Specify precisely. In this domain, an ambiguous requirement is a regulatory finding waiting to happen. • Instrument everything - pass rates, decision latency, alert volume, review throughput, escalation outcomes - and use it to make the case for what comes next. You’ll likely succeed if you have • 8+ years in product management, including at least three years owning compliance, risk, identity, or payments products in a regulated environment. • Working fluency in AML/CFT: you can hold your own on KYC and KYB standards, sanctions screening logic, monitoring typologies, and SAR workflows without needing a translator. • Direct experience with card issuing, payments infrastructure, or banking-as-a-service - you understand what an issuing bank, a BIN sponsor, and a network each expect from a program. • A track record of shipping systems where correctness matters more than a fast demo, and the technical depth to design data models and APIs with engineers rather than around them. • Comfort with genuine ambiguity. The regulatory picture for stablecoins is still being written, and you will often decide with incomplete information. • Clear, precise writing. Most of your leverage here comes from documents other people can act on. Bonus Attributes • Experience with stablecoins, digital assets, or onchain settlement, including blockchain analytics tools. • Multi-jurisdiction launch experience across LATAM, APAC, EU, or EMEA. • Time spent inside a compliance, financial crime, or regulatory function — or a hands-on partnership with one. • Familiarity with SOC 2, PCI DSS, or similar control and audit frameworks. THINGS THAT ENABLE A FULFILLING, HEALTHY AND HAPPY EXPERIENCE AT RAIN: Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves. Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace. Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan. Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match. Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success. Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you! In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit. Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are looking for candidates in the USA EST time zones only . Senior Software Engineer - Session Replay The Opportunity: The Session Replay squad is building a new Grafana Cloud product that helps our customers to understand what users actually experienced when something goes wrong. Session Replay connects frontend signals (errors, performance, synthetic checks) to concrete session-level evidence, enabling faster and more confident investigation of production issues. This team works at the intersection of: frontend observability, backend data processing and storage at scale, debugging workflows across products, privacy and access control, performance and cost constraints at scale. Session Replay is still early, which means you’ll help shape both what we build and how it fits into Grafana Cloud. A key part of our next phase is evolving the backend architecture of capturing sessions, including a migration toward columnar/analytical solution as a primary storage and query engine for high-volume session data. As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. We are looking for Senior Software Engineers who are passionate about working with data and providing seamless experiences for our customers to join our growing team! Our stack is Golang, Typescript and React, but we build tools for people using many other stacks. What You’ll Be Doing: As a Senior Software Engineer, you will operate as a technical leader and systems thinker, driving both product direction and architectural evolution, specifically, you will: Own end-to-end technical direction for Session Replay, spanning frontend, backend, and data systems Drive the evolution of our backend architecture, including: Designing systems around columnar/analytical data storage for large-scale session data Defining data models, ingestion pipelines, and query patterns Lead the design of investigation workflows, connecting replay with logs, metrics, traces and other telemetry across Grafana Cloud Make high-leverage architectural decisions that impact multiple teams and products Partner with teams across Grafana (Frontend Observability, Synthetic Monitoring, Core Grafana) to build cohesive cross-product experiences Engage directly with customers - joining calls, gathering structured feedback, and helping customers instrument and adopt Session Replay successfully. Improve engineering standards, patterns, and operational practices within the team Mentor engineers and help grow technical leadership within the team Technologies you'll work with: Go (backend services and APIs) Columnar/Analytical data storage (core data storage and querying) Object storage (S3, GCS, Azure Blob Storage) and MySQL TypeScript / React (user-facing workflows) Grafana ecosystem (Mimir, Loki, Tempo, etc.) We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What Makes You a Great Fit: You are comfortable working in a remote-first company ; communication is key. For us, working together means being collaborative, friendly, kind, and respectful . We operate by consensus. You can contribute to a discussion, disagree constructively, and commit to the team’s decision. You are able to communicate design decisions clearly in written and spoken English. Ability to reason about data-intensive systems (ingestion, storage, querying, cost trade-offs) You are comfortable owning features in ambiguous problem spaces . We are a small team, working remotely, on a product that will be used by engineers all over the world – the ability to work on your own is crucial. You have a good understanding of a software development process that takes a user-centered approach . You easily build an understanding of the users’ context and goals which will help you build the right solution with the maximum value. You enjoy working on complex solutions – Grafana is a highly technological solution and has avid followers who rely on it every day and who care deeply about their workflows. You value code maintainability, readability & automation. You use AI tools as a natural part of your engineering workflow - whether for accelerating exploration, code review, or reasoning through design tradeoffs - and you're thoughtful about where they help and where they don't. Bonus Points For: Experience with columnar/analytical databases Experience with observability tools (Grafana, Datadog, New Relic, Sentry, etc.). Experience building debugging or developer-focused tools. Familiarity with privacy, security, and access control in data-heavy systems Experience working on performance-sensitive systems (large datasets, real-time queries, session data) Compensation & Rewards: In the United States, the Base compensation range for this role is USD 154,445 -  USD 185,334 .  Actual compensation may vary based on level, experience, and skillset as assessed in 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: New York; San Francisco ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ABOUT THE ROLE Our Inference business works differently from a typical software business. What we can sell is capped by GPU fleet capacity, and what we earn depends on the blended cost of the GPUs serving each workload. Both can change week to week. This role sits between the people who run the fleet and the people who sell it. You will be the person who can answer, at any point in the quarter, three questions with real numbers behind them: 1. What do we have to sell? 2. What should we sell it for? 3. What do we make when we do? You will own the commercial data, models, processes, and operating cadence behind these decisions, partnering closely with the Head of Digital Native Sales and serving as the commercial operating lead across Sales, Data Science, Inference Infrastructure, Finance, and Product. This is a build role. Little of the commercial infrastructure you need exists today. WHAT YOU'LL DO Capacity and demand - Build and own an end-to-end inference demand forecast combining pipeline, contracted commitments, and consumption trends into a forward-looking view of expected demand. - Combine capacity signals with pipeline demand to show what is available to sell and surface shortages, unused capacity, and supply-demand mismatches. - Translate customer requirements into structured inputs that Data Science and Inference Infrastructure can use to assess workload impact and feasibility, and help prioritize opportunities by revenue, margin, fit, timing, and strategic value. Pricing and margin - Publish regular updates to GTM and Finance on available supply and recommended price, informed by market rates for provisioned throughput and per-token pricing. - Partner with Finance and Pricing to build rate cards, target prices, price floors, and discount guardrails GTM can act on. - Build and own margin sensitivity models showing how workload, utilization, contract structure, and discounting affect deal and portfolio economics. Data infrastructure and GTM telemetry - Build the commercial telemetry for Inference: usage, consumption patterns, expansion, churn signals, and other leading indicators of revenue. - Connect capacity and usage data with pipeline, contracts, pricing, and revenue, and build self-serve reporting that helps GTM, Finance, and leadership make capacity, pricing, and prioritization decisions. - Partner with Finance on long-range planning for Inference, connecting demand forecasts to capacity and capex planning. Core revenue operations - Own territory design, ICP definition, data-driven targeting, pipeline management, forecasting, and compensation plan design for the Inference and Digital Native segment. - Track competitive dynamics across inference providers and adjacent players, turning them into pricing and positioning input. Cross-functional leadership - Drive alignment across Sales, Data Science, Inference Infrastructure, Finance, and Product on demand, capacity, pricing, and economics. - Ensure customer demand reaches technical teams early enough to inform capacity decisions, and build a structured feedback loop from requests, adoption patterns, blocked deals, and losses into Product and Engineering. WHAT YOU'LL BRING Required skills and competencies - Experience in revenue operations, business operations, strategic finance, or investment banking in a business where cost of goods is real and variable — cloud infrastructure, compute, telco, logistics, or similar. Pure SaaS RevOps is not a fit on its own. - Strong SQL and comfort building your own data models: raw tables to dashboard, without waiting on a data team. - Demonstrated ability to build unit economics and margin models that other functions trust and use. - Enough technical fluency to hold a real conversation with infrastructure engineers about GPUs, utilization, serving efficiency, and capacity — or clear evidence you can get there fast. - Comfort operating with incomplete data, with a bias toward shipping a rough answer this week over a perfect one next quarter. - Strong cross-functional leadership and the ability to influence technical and commercial teams without direct authority. Ideal additional skills and competencies - Familiarity with the inference market: provisioned throughput, per-token pricing, batch vs. real-time serving, and how the major providers price. - Experience with consumption- or usage-based revenue models. - Salesforce, BigQuery, and BI tooling (we use Metabase). - Having sat between a technical team and a commercial team before, trusted by both sides. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Americas Remote Hi, I'm Paul, VP of Engineering at Customer.io . We're looking for a staff product engineer — not a generalist who happens to touch frontend and backend, but someone who thinks like a product owner and ships like an engineer. About Customer.io Over 9,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data. Under the hood: Go, React, and AI help us ship fast and scale with confidence. What We Value End-to-end ownership You take on the problems nobody's claimed — the ones that span squads with no obvious owner — and carry them from a fuzzy first conversation to what's actually live. If it touches the customer, it's yours to chase down. Comfort in ambiguity Half-formed problems and conflicting signals are your starting material, not a blocker. You define the problem before you solve it, form a point of view on what's worth building, and move without waiting for someone else to de-risk the call. Customer-first, always You think from the customer's problem backward, not the codebase forward. Every technical call traces back to what it does for the person on the other end of the message — and you can explain that connection to people who don't write code. Given the choice, you ship the thing that changes their experience, not the thing that's merely elegant. A healthy skepticism for "the way things are done" You retire practices that have outlived their usefulness, including ones you helped build. Best practices matter — but never more than forward motion. Force multiplication Shipping your part isn't the bar. You bring in the right people before a problem becomes theirs to clean up, and you leave enough behind — docs, patterns, delegation — that the team keeps moving without you in the room. What You'll Do Own important, ambiguous problems from initial framing through launch and iteration. Set direction, align partners, and stay accountable for the result. Partner with product, design, and data to shape priorities, scope the work, and define how success will be measured. Lead technical decisions across the stack, including architecture, performance, reliability, and maintainability. Lead work across teams and systems. Build alignment, resolve technical disagreements, and keep complex initiatives moving. Improve engineering practices through mentorship, reusable patterns, and clear technical guidance. Use AI throughout your engineering work, with sound judgment about where it helps, where it falls short, and how its output should be reviewed. Help the team improve by testing new workflows, sharing what works, and identifying useful opportunities for automation. Participate in an on-call rotation as required, supporting the systems the team builds. What we're looking for A track record of leading complex work across teams or systems and delivering meaningful customer, business, or engineering outcomes. Strong backend engineering experience, with the ability to work across the stack and lead end-to-end technical decisions. Strong product and technical judgment, especially when the problem or path forward is unclear. The ability to influence experienced peers and align teams without formal authority. Experience using metrics, experimentation, and observability to guide decisions and improve production systems. Regular, hands-on use of AI across the software development lifecycle, with the judgment to adapt as tools change while remaining accountable for quality, security, and outcomes. Experience improving how a broader team uses AI is a strong plus. Compensation & Benefits We believe in transparency. Starting salary for this role is $200,000 - $280,000 USD (or equivalent in local currency) depending on experience and subject to market rate adjustment. This role also carries a 10% annual bonus target. In addition to base salary, this role includes an equity grant in the form of stock options, so you share in the success you help build. We know our people are what make us great, and we're committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family. We also offer 16 weeks paid parental leave, unlimited PTO, stipends for remote work and wellness, a professional development budget, and more. See full benefits here → Our Process No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision. Application - We review everyone with care. Tell us why you're interested. Recruiter Call (30 mins) - Let's chat about what you're looking for and how we work. Hiring Manager Interview (60 mins) - Talk with one of our hiring managers about your working style and a product you've owned end-to-end, plus a short AI-assisted coding exercise. System Design Interview (60 mins) - A collaborative conversation that moves between product tradeoffs and system design — how you'd scope something ambiguous and how you'd build it. Take-Home Assignment - Complete a short, realistic task similar to what you'd work on here. Assignment Review Call (60 mins) - Walk us through your work and discuss tradeoffs, priorities, and how you'd iterate. All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process. Customer.io recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact. Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official Customer.io letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact jobs@customer.io . Join us! We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you're excited by what you read and want to build software that makes communication better for everyone—apply now.