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Location: Espoo Workplace: Hybrid DESCRIPTION ROLE HIGHLIGHTS: - Fullstack Engineer, Product Engineering - Location: Finland, Espoo - Department: Solutions - Reports to: Engineering Manager / Team Lead - Employment type: Permanent - Workplace model: Hybrid - Employment is subject to applicable security screening (incl. SUPO) Why this role matters We build software products that turn ICEYE’s satellite data and analytics into outcomes customers can rely on during real events such as floods, wildfires, and earthquakes. This is an individual contributor role where you are expected to take ownership of your work and help deliver end-to-end product slices across backend and frontend. You help us ship frequently, keep systems supportable in production, and continuously reduce friction in how we build and run our products. Who We Are ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy – day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits. As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring (including oil-spill detection), and finance, contributing to global security and community resilience. ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation. Your day-to day responsibilities - End-to-End Delivery: Own full product slices by building seamless functionality from backend APIs to frontend UIs, turning vague requirements into testable, production-ready code. - Operational Excellence: Maintain system reliability by participating in on-call rotations and improving "observability" through meaningful alerts, clear logs, and automated runbooks. - Process Optimization: Boost team velocity by identifying delivery bottlenecks such as slow CI or flaky tests, and automating away recurring toil to focus on novel engineering challenges. - Pragmatic Engineering: Design simple, maintainable architectures that prioritize incremental changes, clear documentation, and high-quality code reviews to ensure safe deployments. - Collaborative Leadership: Align with cross-functional partners (Product, Design, Data) to solve problems while mentoring peers through pair programming and shared technical context. What we’re looking for Must-haves - Experience building and maintaining production software in a cloud environment, across both backend and frontend. - Solid proficiency in at least one backend language (for example Python, TypeScript/Node.js, Go, Java or Kotlin) and one modern frontend framework (for example React, Vue or Angular). - Comfortable designing and consuming APIs, and working with relational and/or NoSQL databases. - Writes automated tests and keeps changes small and reviewable; ships, learns and iterates. - Builds with operations in mind: resilience, debuggability and supportability. - Extensive experience with Docker in development and production environments. - Communicates clearly: can explain trade-offs and align with Product and peers. - Uses AI-assisted tools (for example Cursor, ChatGPT, Claude Code) pragmatically, with good habits for verifying output. NICE-TO-HAVES - Experience with Python (especially FastAPI and async patterns) and/or TypeScript with React. - Familiarity with geospatial domains, remote sensing or data-intensive applications. - Experience with event-driven architecture and distributed systems. - Familiarity with Kubernetes and infrastructure-as-code (for example Terraform). - Exposure to regulated data environments (for example ISO 27001, DORA or GDPR). - Experience improving the structure, performance or maintainability of a growing frontend codebase. APPLICATION PROCESS - TA Interview - Hiring Manager Interview - Take Home Task - Panel Interview - Department Lead Interview - Final Interview with SVP of Solutions Working at ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. How We Work (Our Values) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. Benefits Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. Our Commitment to Diversity, Equity, and Inclusion We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at www.iceye.com http://www.iceye.com. https://www.iceye.com/

Location: London; Europe Workplace: Hybrid Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. ROLE OVERVIEW Synthesia is used by over 90% of the Fortune 100, and the largest deployments now run thousands of creators across dozens of markets, languages, and compliance regimes. What decides whether those accounts expand or stall is not another avatar, it is whether admins, legal, and programme owners can actually stay in control. You'll own that layer end to end: workspace setup and governance, the content lifecycle, and the analytics and integrations that close the loop. This is the work that turns a proof of concept into a seven-figure renewal, and right now it is wide open. WHY THIS ROLE NOW AI video has crossed from experiment to standard tooling inside the world's biggest companies. The next phase of growth is won or lost on whether we can make that scale safe and manageable. That is your remit. WHAT YOU'LL BE DOING - Owning the end-to-end roadmap for content lifecycle, governance, and the operational layer that keeps enterprise deployments running - from workspace setup through compliance controls - Getting close to enterprise customers: understanding how IT admins, legal teams, programme managers and content owners think about governance, and what "in control" actually looks like at scale - Translating that into clear product direction, what to build, in what order, and why, and keeping engineering and design aligned to it as the strategy evolves - Working closely with the engineering manager and designer in the team; writing clear specs, making good calls on trade-offs, and providing the context that helps engineers build the right thing first time - Partnering with Solutions, CS, and Legal on complex enterprise deals. These features are frequently deal-critical and the commercial loop matters - Defining the metrics that tell us whether this layer is working: adoption of admin tooling, compliance feature usage, reduction in support escalations related to governance gaps WHO YOU ARE You've excited by the challenge that comes with untangling the inherent complexity of enterprise platform products. You understand that governance and compliance work isn't glamorous, but you know it's the difference between a proof of concept and a seven-figure renewal. You can hold a conversation with a CISO and with a content creator, and understand what each of them needs from the same system. YOU MAY BE A GOOD FIT IF YOU BRING - Significant experience owning a critical product domain - setting strategy, not just executing it - A track record of connecting product outcomes to commercial results: ARR, retention, expansion, or equivalent - Comfortable working across a broad surface area. You can prioritise ruthlessly and make the case for what gets built next - Strong written communication: PRDs, strategy docs, and customer insight summaries that others can act on without a follow-up - Ability to ramp quickly on to the complexity of enterprise buying motions. You'll be close to the commercial team on complex deals and that context matters - Based in London or open to regular travel; the team is London-anchored and in-person time matters We encourage you to apply even if you don't meet every point above. Strong candidates rarely match a list exactly, and we'd rather hear from you. OUR CULTURE At Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here. https://www.notion.so/How-we-work-at-Synthesia-f794caa72f8446efb6be22b551ce0fa2?pvs=21 LOCATION Flexible, hybrid role based from our London office or remote from Europe.   GLOBAL BENEFITS: - You will be compensated well with a generous salary and equity. - You get 25 days of annual leave + local holidays. - Regular team offsites where you’ll get to collaborate with the product & engineering team in person. - Work from home budget - Work from anywhere policy of 60 days per year - Generous referral scheme - Enhanced parental leave - maternity leave includes 16 weeks at full pay, and paternity leave includes 5 weeks at full pay (if your country’s government scheme offers more generous support, you receive whichever is greater—our enhanced policy or the local statutory benefit)   BENEFITS SPECIFIC TO UK: - Private healthcare via AXA for you with a discount for dependants - 5% pension match - Team lunches Tuesday-Friday in the London office

Location: Palo Alto, California About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities The Model Context Protocol (MCP) is rapidly becoming the standard for how AI agents connect to enterprise systems — and Workato is building the gateway, governance, and runtime layer that makes MCP safe and scalable for the largest enterprises in the world. We are looking for a Senior Product Manager to own critical pieces of our Enterprise MCP roadmap and help shape how thousands of customers expose their tools, data, and workflows to AI agents. You'll work at the intersection of API management, identity, and AI infrastructure. Your decisions will shape how AI agents authenticate, what they're allowed to do, and how enterprises observe and govern agent behavior across hundreds of MCP servers and millions of tool invocations. This is a builder role on a small, senior team. You'll write PRDs that go straight into engineering, run customer design partners, present to analysts, and partner with GTM to land enterprise deals. If you've been waiting for the right moment to go deep on agentic infrastructure with the API and gateway chops you've built — this is it. In this role, y ou will also be responsible to: MCP Gateway capabilities — Drive the roadmap for one or more pillars of our gateway: authentication and identity (OAuth, OIDC, DCR, M2M), policy enforcement, observability, or runtime performance. MCP server lifecycle — Define how MCP servers are designed, published, versioned, and governed across customer environments. Set quality bars and develop the frameworks (tiering, certification, server design best practices) that scale across the ecosystem. Enterprise readiness — Translate enterprise security, compliance, and audit requirements into shippable product. Work directly with CISO and platform teams at design-partner customers. Cross-functional leadership — Partner with engineering leads on architecture decisions, with GTM on positioning and enablement, and with analyst relations on category-defining narratives (Gartner, Forrester). Competitive and market intelligence — Maintain a sharp point of view on the MCP landscape — OSS projects, hyperscaler offerings, and competing platforms — and translate that into product bets and differentiation. Requirements Qualifications / Experience / Technical Skills 4–5 years of product management experience, with at least 2 years on API platforms, API gateways, integration platforms, or developer infrastructure. Deep technical fluency in API management and gateway architecture — you understand the difference between an API gateway, an ingress controller, and a service mesh, and can hold your own in design reviews on rate limiting, routing, policy enforcement, and observability. Working knowledge of OAuth 2.0, OIDC, and modern identity patterns (authorization code flow, client credentials, DCR, token exchange). You can read an RFC and tell engineering whether the proposed design is spec-compliant. Track record of shipping technical products to enterprise customers, including writing PRDs that engineers respect and running design partner programs. Strong written communication — you can move fluently between a CISO briefing, a developer-facing blog post, and a six-page strategy doc. Strongly Preferred Experience with AI Gateway, LLM proxy, or agent runtime products (e.g., LiteLLM, Portkey, Kong AI Gateway, or in-house equivalents). Bonus if you've thought hard about prompt injection, tool poisoning, or agent identity. Hands-on familiarity with MCP as a spec — you've built an MCP server, integrated one, or have strong opinions about transports, resources vs. tools, and elicitation. Nice to Haves Prior experience at an iPaaS, API management vendor, or AI infrastructure company. Analyst relations experience (Gartner MQ, Forrester Wave). Conference speaking or technical writing presence in the API or AI infra communities. (REQ ID: 2925)

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. ABOUT THE ROLE Sierra is growing fast, and product marketing sits at the center of how we go to market. You'll make sure customers and prospects understand what we build, why it matters to their industry and role, and why Sierra is the right choice. You'll own positioning, messaging, launches, sales enablement, and content, working closely with product, sales, agent development and the rest of marketing. WHAT YOU'LL DO - Shape how we tell our story. You’re a passionate product marketer, energized by messaging and positioning and skilled at building a message for a feature, product, industry or buyer. One day you may update web copy, the next you build an event session, craft a sales narrative, write a launch blog post, or create content for a campaign. - Lead product launches. When a product or new feature ships, you lead how we go to market - the messaging, the assets, and the sales enablement. Sometimes this means translating to industries or buyers. - Arm our sales team. You build and maintain the playbooks and assets our GTM teams use to sell including slide decks, landing pages, demos and more. - Build with AI-first. You’re AI fluent, and your first instinct is to self-serve and improve how you work. You’ll help build the automations, templates, and systems that keep our work consistent across industries and workstreams. - Go wide and deep. You flex across channels and activations, and you can go deep on one area, such as an industry vertical, a persona, or our web strategy. You’re comfortable with ambiguity and a fast pace, and you like to build. WHAT YOU'LL BRING - 4+ years of B2B or B2C product marketing experience. - Expertise in positioning and messaging, leading product or feature launches, and building sales-facing and customer-facing assets for different audiences and industries. - Strong operational instincts. You think in process, systems, and repeatable frameworks, and you’re comfortable building structure where none exists. - Fluency with tools like ChatGPT or Claude to work faster and automate where it makes sense. - A passion for storytelling and experience building presentations in Google Slides. - Comfort being on a lean team that’s still being defined, and enthusiasm for shaping how it works. SAMPLE PROJECTS - Take a new product from roadmap to launch: positioning, messaging, sales assets, enablement, and demo. - Go deep on an industry and understand how our product can help that segment, build messaging that resonates, and downstream assets. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: Seoul, South Korea Workplace: onsite ABOUT YOU We are looking for a Regional Product Expert to supports Sales, Product, Product Marketing, and Partners across Xsolla’s monetization products. This role drives growth by enabling effective sales execution, supporting complex deals, and ensuring product readiness at the regional level. Acting as the “local voice” of the Monetization organization, the expert gathers market insights and partner feedback to inform global product and strategy decisions for Xsolla’s PC and mobile offerings.   This role will be based out of our Seoul office and is onsite.   ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.   For more information, visit xsolla.com. Responsibilities Partner with the regional Sales team to ensure product knowledge, positioning, and value articulation are effectively communicated in all customer interactions. Partnering with Product Marketing: Deliver localized enablement sessions, playbooks, and deal-support resources aligned with the global sales enablement strategy. Support go-to-market readiness for new product launches and updates, ensuring local alignment with global product narratives. Maintain awareness of regional competitive offerings and tailor enablement materials to local market needs. Collaborate with Sales and Product Growth Support leadership to identify and accelerate high-impact opportunities. Provide tactical deal support by aligning customer requirements with product capabilities and value propositions. Serve as a trusted advisor in deal strategy discussions, helping teams overcome objections and optimize monetization outcomes. Coordinate with Product and Engineering when unique partner requests or technical blockers arise. Monitor and report on product adoption, deal velocity, and partner engagement within the region. Coordinate with the Sales Team to ensure data accuracy within Salesforce and related systems to ensure visibility into pipeline health and performance metrics. Share recurring insights on regional trends, customer needs, and emerging opportunities with Product Growth Support leadership. Contribute to business reviews with structured data and qualitative feedback to guide prioritization and resource allocation. Act as a liaison between regional field teams and Product leadership to communicate partner feedback and product improvement opportunities. Participate in structured feedback loops to ensure that customer use cases and regional needs inform roadmap planning. Support documentation of use cases, blockers, and success stories to help refine global product strategy. Collaborate with Product Marketing on refining messaging and positioning for regional relevance. Adopt and maintain best practices in tools and workflows (Salesforce, Jira, internal dashboards, AI-driven analytics). Ensure consistent communication and coordination with counterparts in other regions to promote global alignment. Contribute to process improvements and tool optimization that enhance deal efficiency and data visibility. Participate in global readiness meetings and feedback sessions to share learnings and standardize execution. Stay informed on local industry trends, competitor activities, and partner sentiment to anticipate changes in market dynamics. Represent Xsolla’s monetization products in customer and partner discussions, trade shows, or industry events within the region. Provide qualitative intelligence to leadership to support market-entry decisions, product prioritization, and pricing strategies. Qualifications and Skills Experience as a Product Owner, Product Manager, Technical Account Manager, Presales/Solutions Engineer, or similar role that combines sales pipeline exposure with technical or product fluency, 5+ years Experience designing or delivering enablement/training materials for sales or non-technical audiences Ability to synthesize qualitative partner/market feedback into structured insights for global stakeholders" Experience in the PC and mobile gaming industry (development, publishing or platforms) Understanding of monetization models in the local market including Subscriptions and LiveOps Awareness of D2C cases: Web Shops, external top-ups, in-game campaigns Experience interacting with B2B clients and/or publishers Native-level Korean proficiency required for client communication, stakeholder management, and business documentation.. Strong English proficiency required for collaboration with global teams and international stakeholders Bonus Points Work experience in an international company Experience in bringing a global product to the Japanese market Comfort working with CRM/reporting tools (Salesforce or similar) and interpreting sales/product data Understanding of legislation regarding advertising, gacha, children and online payments The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers Benefits: We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees through a comprehensive Benefits Program. This includes unlimited Flexible Time Off, statutory pension contribution and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play. Equal Treatment Statement: Xsolla is dedicated to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, language, sexual orientation, national origin, genetics, political beliefs, disability, age, marital status, social background or other characteristics.  For the Regional Product Expert, we will request a background check Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Handling sensitive financial information/managing budgets/accessing funds Accessing confidential company data Ensuring compliance with regulatory requirements Rights Under the GDPR: Applicants are encouraged to inquire about their rights under the GDPR. If you have questions regarding our hiring practices, please contact careers@xsolla.com.

Location: Cyprus; Georgia; Poland; Spain; Serbia; Latvia As Head of Marketing – Financial Products (Card, Earn & Travel), you will own the marketing strategy and commercial growth of GoMining's financial products portfolio beyond mining. You will define how these products are positioned, launched, and scaled globally while maximizing cross-sell opportunities across the GoMining ecosystem. This is a strategic leadership role with direct responsibility for revenue growth, product adoption, and portfolio expansion. You will work closely with Product, Finance, Compliance, Analytics, and executive leadership to build a scalable go-to-market function for our non-core products. Responsibilities Marketing Strategy & Portfolio Growth Define and execute the marketing strategy for GoMining's non-core product portfolio. Own positioning, messaging, and value propositions for products such as GoMining Card, Simple Earn, Travel, Rewards, and future financial services. Prioritize product launches, growth initiatives, and marketing investments across the portfolio. Identify cross-sell and upsell opportunities between products. Go-to-Market Own the end-to-end go-to-market strategy for new products, features, pricing updates, and promotional campaigns. Develop customer segmentation and messaging tailored to different audiences and markets. Coordinate launch execution across Product, Marketing, Design, Analytics, Compliance, and Operations. Ensure consistent customer communication across all channels. Commercial Performance Own the commercial funnel together with Acquisition, CRM, Retention, and Product Marketing teams. Drive user acquisition, activation, cross-sell, retention, and revenue growth. Work closely with Finance on pricing strategy, unit economics, and commercial planning. Define KPIs and measure marketing performance across the portfolio. Partnerships & Growth Programs Develop and scale partnership, referral, and co-marketing programs. Collaborate with strategic partners on joint campaigns and product launches. Identify new growth channels and partnership opportunities. Team Leadership Lead cross-functional marketing initiatives across multiple teams. Align Performance Marketing, CRM, Brand, Content, SEO, Community, and Product Marketing around shared business objectives. Build scalable marketing processes and execution frameworks. Mentor senior marketers and influence strategic decisions across the organization. Requirements 7+ years of experience in Product Marketing, Go-to-Market, Growth Marketing, or Marketing Leadership roles. Proven experience marketing multiple products within a single portfolio. Experience in fintech, digital banking, payments, cards, wallets, lending, wealth management, or similar financial products. Strong commercial mindset with deep understanding of funnel economics, pricing, CAC, LTV, retention, and revenue growth. Experience leading global product launches and integrated marketing campaigns. Experience building partnership, referral, or co-marketing programs. Ability to balance commercial growth with regulatory and compliance requirements. Experience working in high-growth technology companies. Nice to Have Experience in crypto, Bitcoin, Web3, or digital assets. Experience scaling B2C financial products across multiple international markets. Experience launching products across the US, Europe, UAE, LATAM, or APAC. Experience with loyalty programs, rewards, subscription products, or investment platforms. Benefits Professional growth: support for courses, conferences, and English learning (up to 100% coverage). Work-life fit: remote or hybrid format with flexible hours across international teams. Paid leave: up to 20 vacation days +  8 company holidays + 5 personal days per year Recognition programs: structured performance reviews and team awards. Team culture: retreats in international locations (for example, company apartments in Cyprus).

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As an AV Production Specialist, you'll own the day-to-day operation of the event technology behind how Anthropic communicates — the all-hands, the executive presentations, the live broadcasts. You are the owner of these productions: accountable for their technical outcome from the moment a request arrives through to the follow-up after the room clears, and the technical partner our executives, events team, and communications partners rely on to make them land. This is an operations role with engineering depth behind it. You'll work across the same technology stack as our broadcast engineering practice with your center of gravity in execution and service. You'll keep our event spaces in a state of readiness through preventative maintenance, and be the calm, capable presence that executives, comms partners, and event producers learn to trust. Your work directly enables the collaboration and transparency that advance our AI safety mission. Responsibilities Live Event Production & Run-of-Show Own the technical execution of live and hybrid events, from small executive presentations to company-wide all-hands broadcasts reaching thousands of participants Serve as technical director for live productions across the full range, up to and including executive presentations and company-wide broadcasts Operate production systems during live events including video switchers, audio consoles, camera systems, playback, and streaming encoders Build and run the technical run-of-show: cue sheets, source lists, rehearsal schedules, and backup plans Direct contractors and onsite technicians during productions, delegating clearly under time pressure Troubleshoot and escalate complex production issues with clear diagnostic context Communicate status, risk, and resolution to non-technical stakeholders in clear, calm, jargon-free language Handle confidentiality and access requirements for sensitive sessions, including recording and streaming controls Event Intake, Scoping & Scheduling Own the event technology intake process end-to-end: request triage, technical scoping conversations, and staffing Right-size production approach to event type, translating stakeholder goals into an equipment and staffing plan that fits the constraints and scope of our team’s SLA Take on genuinely novel events and leave a repeatable standard behind — a template, runbook, or gear list that makes the next one easier than the first and repeatable by the team Maintain the event technology calendar and coordinate coverage across the AV Operations team Partner with Events, Internal Communications, and Workplace teams on lead times, expectations, and readiness Support Operations & Room Health Execute preventative maintenance programs and recurring room sweeps across event spaces and conference rooms Maintain and test inventory of equipment including wireless microphones, cameras, and portable production gear pre event, following event production framework Contribute to runbooks, standard operating procedures, and knowledge base documentation Surface recurring operational pain points to AV Engineering as candidates for systemic fixes You May Be a Good Fit If You: Have 8+ years of hands-on experience in AV operations, live event production, or technical event support Have owned the technical side of live productions end-to-end — not just operated a single position Bring working fluency across event audio, video, camera, and streaming systems, with enough depth to diagnose problems rather than only report them Are energized rather than drained by being the front-facing technical partner to executives and event producers Bring structure to ambiguity by building systems for repeatable events Strong Candidates May Also Have: Technical direction for corporate broadcasts, conferences, or multi-camera productions Q-SYS DSP platform, including reading and reasoning about existing audio/video routing and control designs PTZ and professional camera systems, camera control units, and multi-camera workflows Video conferencing platforms and hardware including Google Meet, Zoom Rooms, and hybrid meeting technologies Live streaming workflows including encoders and encoding settings, contribution and delivery protocols (RTMP, SRT, HLS) Network fundamentals for AV-over-IP including multicast, VLANs, QoS, and bandwidth management Ticketing and workflow systems such as Jira, and building intake or request workflows within them Coordinating AV contractors, integrators, and labor for event coverage Role Specific Location Policy: This role will be based in our San Francisco HQ This role is expected to be in office 5 days per week Occasional evening and early-morning coverage is expected around major events 4-6 weeks of travel annually will be expected for this role for distributed event support as needed Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $325,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW We’re looking for a senior operator to own the quality bar behind Harvey’s human evaluations. As we scale globally, the volume of eval work is growing 10x, but volume only matters if the output is trusted. This role makes Human Data’s signal decision-grade: rigorous, calibrated, and reproducible enough that Product, Engineering, and AI Research act on it to ship. As a member of our Evaluation Operations team, you’ll work alongside our Evaluation Operations Manager (who runs throughput and coordination) and partner closely with Applied Legal Researchers, Product, Engineering, and AI Research. You'll set the standard for what "good" looks like across eval data and methodology, and own the data analyses to make conclusions that teams will rely on, building the stakeholder trust that lets EPD act on the signal. WHAT YOU'LL DO - Own the quality bar for Harvey’s human evaluations: define what “good” looks like for eval methodology and data analysis, and produce decision-grade outputs for EPD - Author and maintain the evaluation guidelines, instructions, and databases that contract attorneys work from - Standardize and streamline rubric and evaluation design into repeatable templates and one documented methodology, partnering with Applied Legal Research (ALR), who supplies feature-specific legal depth - Own contract-attorney quality: onboarding, calibration training, inter-rater reliability, and the feedback loop (including benchmarks and gold references) that keeps judgment consistent across attorneys and over time - Conducting quantitative and qualitative statistical analyses, diagnosing error states, investigating root causes, and turning raw eval results into a structured, prioritized signal Product and ALR can act on - Run QA on vendor and contract-attorney deliverables against a defined bar before results inform a launch decision - Ensure the quality bar holds across jurisdictions and non-English geographies as coverage expands - Establish one standard, documented way to analyze eval results, and build lightweight operational dashboards to track rater capability and eval-program health - Support ALR in a review step that certifies an evaluation is sound before it scales to contract attorneys - Partner with ALR and Analytics to determine where human eval aligns with online signal and where it can provide expanded insights WHAT YOU HAVE - 6+ years in product operations, research operations, evaluation/QA operations, or quality program management - A track record of owning quality inputs (guidelines, instructions, benchmarks, QA procedures) for complex, expert-driven or human-in-the-loop work - Experience onboarding, training, and calibrating a distributed pool of expert raters, annotators, or reviewers, and running the feedback loop that improves their quality over time - Enough grounding in measurement concepts (calibration, inter-rater reliability, sampling, rubric design) to independently set up and own the quality of our evaluation loop yourself - Experience with running quantitative and qualitative data analyses, interpreting and running statistical tests on evaluation data (natively or with AI tool support), and communicating conclusions to various stakeholders - A record of scaling and streamlining evaluation quality processes under shipping pressure, with a bias toward documentation and reproducibility over one-off analysis - Ability to work deeply with domain experts (e.g., ALR / lawyers) and translate nuanced judgment into repeatable, documented standards - Strong cross-functional coordination across Product, Engineering, Research, ALR, and data providers/vendors - Clear communicator who can build credibility and trust with stakeholders - Bias to action and high ownership, from writing the guideline to auditing a vendor batch line by line BONUS POINTS - Experience in legal tech or working with domain experts in regulated industries - Experience owning quality across multiple markets, languages, or jurisdictions - Built calibration, inter-rater reliability, or capability-tracking systems for annotation or evaluation pipelines - Experience transitioning evaluation work in-house or otherwise improving evaluation ROI - Familiarity with LLM-as-judge / automated evaluation used alongside human eval - Early employee at a hyper-growth startup, or experience at a world-class product or platform operations org COMPENSATION $155,400 - $233,200 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-CD1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Latvia Workplace: Remote Location: Remote (Europe Time Zone) Start date: ASAP Language: English Team: AI ABOUT THE ROLE Our client is a European technology company operating a cloud and infrastructure platform, and we are looking for an AI Engineering Manager to lead the small, high-leverage team behind their AI product. The Engineering Manager is to lead a team of AI engineers and researchers building the systems that power an AI-enabled products and the model inference offering. You’ll manage the people and the roadmap: hiring and developing a high-caliber team, setting technical direction alongside senior ICs, and driving delivery on projects that range from applied ML features inside the products to the infrastructure that serves models in production at scale. This is a hybrid people/technical leadership role. You should be comfortable running a team day-to-day (1:1s, planning, performance, hiring) while also being comfortable enough technically to review designs, unblock research and engineering tradeoffs, and represent the team to other engineering and product leaders.   WHAT YOU'LL DO - Manage, coach, and grow a team of AI/ML engineers and researchers, including hiring, career development, and performance management. - Own delivery for AI-enabling projects across the product portfolio, translating ambiguous product and research goals into scoped, sequenced engineering plans. - Co-own the roadmap and operations of the inference offering, including reliability, latency, cost, and scaling of model serving infrastructure. - Partner with research scientists to move promising models and techniques from experimentation into production, balancing research rigor with shipping velocity. - Set and maintain engineering standards for the team: code quality, experimentation practices, evaluation methodology, on-call, and incident response for production inference systems. - Work closely with Product, Infrastructure, and Data teams to prioritize work and remove cross-team blockers. - Report on team progress, risks, and capacity to engineering leadership, and represent the team’s work in planning and roadmap discussions. - Stay current on the AI/ML and inference landscape (models, serving frameworks, hardware) and bring relevant developments back to the team’s technical strategy. WHAT WE'RE LOOKING FOR - 7+ years of experience in a technical leadership or engineering management role (AI/ML teams preferred), plus a strong prior track record as a hands-on engineer or researcher. - Proven experience building and operating AI/ML platform or inference infrastructure in production (model serving, GPU workloads, latency and cost optimization) - Working knowledge of the AI/ML lifecycle: model training or fine-tuning, evaluation, and production deployment. - Experience with, or strong technical fluency in, model inference and serving infrastructure (e.g., GPU scheduling, batching, quantization, latency/throughput tradeoffs, serving frameworks such as vLLM, Triton, or similar). - Demonstrated ability to manage both researchers and engineers, who often have different working styles, timelines, and definitions of “done.” - Strong judgment on scoping and sequencing ambiguous, research-adjacent projects into shippable increments. - Excellent communication skills; able to translate technical tradeoffs for both engineers and non-technical stakeholders. - Experience owning production systems, including reliability and incident response, is a plus. WHY THIS ROLE MATTERS FOR YOU - Own a product, not a component: Lead the team behind the company's AI product and shape the capabilities the wider business builds on - High leverage, small team: With three engineers, your technical and strategic decisions translate directly into what ships - Grow as a leader: Manage, mentor, and inspire a talented team while influencing strategic technical decisions - Stay hands-on: Balance leadership with coding in a modern, high-scale AI platform environment - Work with cutting-edge technology: Deepen your expertise in LLMs, inference infrastructure, GPU compute, and distributed systems at scale - Drive platform evolution: Directly impact architecture, reliability, and AI quality across the organization - Collaborate across teams: Work closely with Product, Infrastructure, Security, and Backend teams, expanding your cross-functional expertise - Remote-first flexibility: Enjoy a fully remote role while aligning with the European time zone Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on 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. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Location: Türkiye Workplace: Remote Location: Remote (Europe Time Zone) Start date: ASAP Language: English Team: AI ABOUT THE ROLE Our client is a European technology company operating a cloud and infrastructure platform, and we are looking for an AI Engineering Manager to lead the small, high-leverage team behind their AI product. The Engineering Manager is to lead a team of AI engineers and researchers building the systems that power an AI-enabled products and the model inference offering. You’ll manage the people and the roadmap: hiring and developing a high-caliber team, setting technical direction alongside senior ICs, and driving delivery on projects that range from applied ML features inside the products to the infrastructure that serves models in production at scale. This is a hybrid people/technical leadership role. You should be comfortable running a team day-to-day (1:1s, planning, performance, hiring) while also being comfortable enough technically to review designs, unblock research and engineering tradeoffs, and represent the team to other engineering and product leaders.   WHAT YOU'LL DO - Manage, coach, and grow a team of AI/ML engineers and researchers, including hiring, career development, and performance management. - Own delivery for AI-enabling projects across the product portfolio, translating ambiguous product and research goals into scoped, sequenced engineering plans. - Co-own the roadmap and operations of the inference offering, including reliability, latency, cost, and scaling of model serving infrastructure. - Partner with research scientists to move promising models and techniques from experimentation into production, balancing research rigor with shipping velocity. - Set and maintain engineering standards for the team: code quality, experimentation practices, evaluation methodology, on-call, and incident response for production inference systems. - Work closely with Product, Infrastructure, and Data teams to prioritize work and remove cross-team blockers. - Report on team progress, risks, and capacity to engineering leadership, and represent the team’s work in planning and roadmap discussions. - Stay current on the AI/ML and inference landscape (models, serving frameworks, hardware) and bring relevant developments back to the team’s technical strategy. WHAT WE'RE LOOKING FOR - 7+ years of experience in a technical leadership or engineering management role (AI/ML teams preferred), plus a strong prior track record as a hands-on engineer or researcher. - Proven experience building and operating AI/ML platform or inference infrastructure in production (model serving, GPU workloads, latency and cost optimization) - Working knowledge of the AI/ML lifecycle: model training or fine-tuning, evaluation, and production deployment. - Experience with, or strong technical fluency in, model inference and serving infrastructure (e.g., GPU scheduling, batching, quantization, latency/throughput tradeoffs, serving frameworks such as vLLM, Triton, or similar). - Demonstrated ability to manage both researchers and engineers, who often have different working styles, timelines, and definitions of “done.” - Strong judgment on scoping and sequencing ambiguous, research-adjacent projects into shippable increments. - Excellent communication skills; able to translate technical tradeoffs for both engineers and non-technical stakeholders. - Experience owning production systems, including reliability and incident response, is a plus. WHY THIS ROLE MATTERS FOR YOU - Own a product, not a component: Lead the team behind the company's AI product and shape the capabilities the wider business builds on - High leverage, small team: With three engineers, your technical and strategic decisions translate directly into what ships - Grow as a leader: Manage, mentor, and inspire a talented team while influencing strategic technical decisions - Stay hands-on: Balance leadership with coding in a modern, high-scale AI platform environment - Work with cutting-edge technology: Deepen your expertise in LLMs, inference infrastructure, GPU compute, and distributed systems at scale - Drive platform evolution: Directly impact architecture, reliability, and AI quality across the organization - Collaborate across teams: Work closely with Product, Infrastructure, Security, and Backend teams, expanding your cross-functional expertise - Remote-first flexibility: Enjoy a fully remote role while aligning with the European time zone Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on 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. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Location: Armenia Workplace: Remote Location: Remote (Europe Time Zone) Start date: ASAP Language: English Team: AI ABOUT THE ROLE Our client is a European technology company operating a cloud and infrastructure platform, and we are looking for an AI Engineering Manager to lead the small, high-leverage team behind their AI product. The Engineering Manager is to lead a team of AI engineers and researchers building the systems that power an AI-enabled products and the model inference offering. You’ll manage the people and the roadmap: hiring and developing a high-caliber team, setting technical direction alongside senior ICs, and driving delivery on projects that range from applied ML features inside the products to the infrastructure that serves models in production at scale. This is a hybrid people/technical leadership role. You should be comfortable running a team day-to-day (1:1s, planning, performance, hiring) while also being comfortable enough technically to review designs, unblock research and engineering tradeoffs, and represent the team to other engineering and product leaders. WHAT YOU'LL DO - Manage, coach, and grow a team of AI/ML engineers and researchers, including hiring, career development, and performance management. - Own delivery for AI-enabling projects across the product portfolio, translating ambiguous product and research goals into scoped, sequenced engineering plans. - Co-own the roadmap and operations of the inference offering, including reliability, latency, cost, and scaling of model serving infrastructure. - Partner with research scientists to move promising models and techniques from experimentation into production, balancing research rigor with shipping velocity. - Set and maintain engineering standards for the team: code quality, experimentation practices, evaluation methodology, on-call, and incident response for production inference systems. - Work closely with Product, Infrastructure, and Data teams to prioritize work and remove cross-team blockers. - Report on team progress, risks, and capacity to engineering leadership, and represent the team’s work in planning and roadmap discussions. - Stay current on the AI/ML and inference landscape (models, serving frameworks, hardware) and bring relevant developments back to the team’s technical strategy. WHAT WE'RE LOOKING FOR - 7+ years of experience in a technical leadership or engineering management role (AI/ML teams preferred), plus a strong prior track record as a hands-on engineer or researcher. - Proven experience building and operating AI/ML platform or inference infrastructure in production (model serving, GPU workloads, latency and cost optimization) - Working knowledge of the AI/ML lifecycle: model training or fine-tuning, evaluation, and production deployment. - Experience with, or strong technical fluency in, model inference and serving infrastructure (e.g., GPU scheduling, batching, quantization, latency/throughput tradeoffs, serving frameworks such as vLLM, Triton, or similar). - Demonstrated ability to manage both researchers and engineers, who often have different working styles, timelines, and definitions of “done.” - Strong judgment on scoping and sequencing ambiguous, research-adjacent projects into shippable increments. - Excellent communication skills; able to translate technical tradeoffs for both engineers and non-technical stakeholders. - Experience owning production systems, including reliability and incident response, is a plus. WHY THIS ROLE MATTERS FOR YOU - Own a product, not a component: Lead the team behind the company's AI product and shape the capabilities the wider business builds on - High leverage, small team: With three engineers, your technical and strategic decisions translate directly into what ships - Grow as a leader: Manage, mentor, and inspire a talented team while influencing strategic technical decisions - Stay hands-on: Balance leadership with coding in a modern, high-scale AI platform environment - Work with cutting-edge technology: Deepen your expertise in LLMs, inference infrastructure, GPU compute, and distributed systems at scale - Drive platform evolution: Directly impact architecture, reliability, and AI quality across the organization - Collaborate across teams: Work closely with Product, Infrastructure, Security, and Backend teams, expanding your cross-functional expertise - Remote-first flexibility: Enjoy a fully remote role while aligning with the European time zone Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on 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. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Location: Romania Workplace: Remote Location: Remote (Europe Time Zone) Start date: ASAP Language: English Team: AI ABOUT THE ROLE Our client is a European technology company operating a cloud and infrastructure platform, and we are looking for an AI Engineering Manager to lead the small, high-leverage team behind their AI product. The Engineering Manager is to lead a team of AI engineers and researchers building the systems that power an AI-enabled products and the model inference offering. You’ll manage the people and the roadmap: hiring and developing a high-caliber team, setting technical direction alongside senior ICs, and driving delivery on projects that range from applied ML features inside the products to the infrastructure that serves models in production at scale. This is a hybrid people/technical leadership role. You should be comfortable running a team day-to-day (1:1s, planning, performance, hiring) while also being comfortable enough technically to review designs, unblock research and engineering tradeoffs, and represent the team to other engineering and product leaders.   WHAT YOU'LL DO - Manage, coach, and grow a team of AI/ML engineers and researchers, including hiring, career development, and performance management. - Own delivery for AI-enabling projects across the product portfolio, translating ambiguous product and research goals into scoped, sequenced engineering plans. - Co-own the roadmap and operations of the inference offering, including reliability, latency, cost, and scaling of model serving infrastructure. - Partner with research scientists to move promising models and techniques from experimentation into production, balancing research rigor with shipping velocity. - Set and maintain engineering standards for the team: code quality, experimentation practices, evaluation methodology, on-call, and incident response for production inference systems. - Work closely with Product, Infrastructure, and Data teams to prioritize work and remove cross-team blockers. - Report on team progress, risks, and capacity to engineering leadership, and represent the team’s work in planning and roadmap discussions. - Stay current on the AI/ML and inference landscape (models, serving frameworks, hardware) and bring relevant developments back to the team’s technical strategy. WHAT WE'RE LOOKING FOR - 7+ years of experience in a technical leadership or engineering management role (AI/ML teams preferred), plus a strong prior track record as a hands-on engineer or researcher. - Proven experience building and operating AI/ML platform or inference infrastructure in production (model serving, GPU workloads, latency and cost optimization) - Working knowledge of the AI/ML lifecycle: model training or fine-tuning, evaluation, and production deployment. - Experience with, or strong technical fluency in, model inference and serving infrastructure (e.g., GPU scheduling, batching, quantization, latency/throughput tradeoffs, serving frameworks such as vLLM, Triton, or similar). - Demonstrated ability to manage both researchers and engineers, who often have different working styles, timelines, and definitions of “done.” - Strong judgment on scoping and sequencing ambiguous, research-adjacent projects into shippable increments. - Excellent communication skills; able to translate technical tradeoffs for both engineers and non-technical stakeholders. - Experience owning production systems, including reliability and incident response, is a plus. WHY THIS ROLE MATTERS FOR YOU - Own a product, not a component: Lead the team behind the company's AI product and shape the capabilities the wider business builds on - High leverage, small team: With three engineers, your technical and strategic decisions translate directly into what ships - Grow as a leader: Manage, mentor, and inspire a talented team while influencing strategic technical decisions - Stay hands-on: Balance leadership with coding in a modern, high-scale AI platform environment - Work with cutting-edge technology: Deepen your expertise in LLMs, inference infrastructure, GPU compute, and distributed systems at scale - Drive platform evolution: Directly impact architecture, reliability, and AI quality across the organization - Collaborate across teams: Work closely with Product, Infrastructure, Security, and Backend teams, expanding your cross-functional expertise - Remote-first flexibility: Enjoy a fully remote role while aligning with the European time zone Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on 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. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Location: Beijing, China Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and even though we've made a lot of headway, we still have work to do — and that’s where you come in! Our Product Managers (PMs) have ownership over product optimizations and features, from independently run experiments to major product decisions . Backed by strong analytical skills and business acumen, and inspired by access to senior leadership and transparency into how they make product decisions, our PMs develop insights that lead to new product ideas and Duolingo’s next beloved feature. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. About the role... We’re looking for a Senior Product Manager to drive monetization and growth across Duolingo’s consumer product. In this role, you’ll identify and execute high-impact opportunities to grow the number of subscribers — improving how users discover, experience, and choose paid offerings. You’ll work across product, marketing, data science, and design to build and optimize user journeys, run experiments, and develop systems that scale. This is a high-impact role with direct ownership of business outcomes, and the opportunity to flex across a range of growth and monetization problems as our product evolves. 🧠  You will... Build and optimize user experiences that drive conversion, retention, and long-term value Identify high-impact opportunities through data, research, and experimentation Partner with design to create simple, intuitive, and compelling user experiences Work cross-functionally with marketing, data science, and engineering to deliver end-to-end solutions Define strategy and prioritize across multiple growth and monetization initiatives Move quickly in ambiguous areas, bringing structure and clarity to complex problems ✅  You have... Experience driving measurable outcomes in consumer products (e.g., growth, retention, or monetization) Strong product judgment and a track record of running experiments to improve performance Comfort working with data and making decisions in imperfect or evolving environments Ability to collaborate effectively across teams and influence without authority A bias toward action and ownership, with a focus on delivering results The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role! Salary Range: ¥804,949 — ¥1,088,971 CNY Benefits: Take a peek at how we care for our employees' holistic well-being with our benefits here . Job Alerts: Sign up for job alerts here . Accommodations: We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com . Equal Employment Opportunity: Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Fraud Warning: Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information. By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice .

Location: Kuala Lumpur, Malaysia About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. About the Role We're looking for a Senior Product Manager to join our Platform Product team, working on mission-critical systems that power our global infrastructure. Depending on your background and strengths, you'll focus on one or more of the following areas: Compliance & Regulatory Products — Translating global regulatory frameworks (MiCA, VASP, MAS) into scalable product solutions; KYC/AML systems; market launch and business migration User Account & Identity — Account architecture, authentication, security & risk control, user lifecycle management Fund & Asset Infrastructure — Deposit/withdrawal systems, unified trading accounts, multi-chain asset management, RWA integration AI-Powered Products — LLM/RAG/Agent applications for customer-facing and internal efficiency use cases Key Responsibilities Define product strategy and roadmap for platform-level systems serving millions of global users Translate complex business, regulatory, or technical requirements into clear product specifications Drive cross-functional execution across engineering, design, compliance, and operations Own end-to-end product delivery from discovery through launch and iteration Build scalable product frameworks that balance user experience, security, and regulatory requirements Requirements 7+ years of product management experience, with 3+ years in relevant domains (compliance, account systems, payments/funds, or AI products) Background in crypto exchanges, fintech, brokerage, or large-scale internet platforms Strong systems thinking — comfortable with architecture-level product design Proven ability to ship complex, cross-functional products in fast-moving environments Excellent English communication skills for global stakeholder engagement Data-driven decision making with strong analytical skills Preferred Qualifications Experience at leading crypto platforms or top-tier fintech/brokerage firms Track record of 0-to-1 product launches in regulated or high-security environments Understanding of blockchain infrastructure, multi-chain architecture, or on-chain asset management Experience with LLM/AI product development and deployment at scale Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Задачи: — Участвовать в разработке и развитии продукта; — Проводить CustDev-интервью и анализировать пользовательский опыт; — Принимать участие в спринтах, ежедневных встречах и ретроспективах; — Взаимодействовать с командами разработки, UX/UI и тестирования; — Оценивать новые фичи и предлагать улучшения продукта. Требования: — Понимание продуктового подхода и Agile; — Развитые коммуникативные навыки и умение работать в команде; — Ответственность, внимательность к деталям и умение доводить задачи до результата; — Инициативность и готовность учиться новому. Условия: — Отличная возможность получить практический опыт в продуктовой разработке и начать карьеру в IT.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, TX Role Summary As a Product Security Engineer, you will support security assessments and vulnerability operations for Cloudflare’s core software products. In this role, you will analyze system architecture, threat model new features, and ensure that product-related security findings are accurately triaged, routed to the correct engineering owners, and mitigated within our SLAs. On any given day, you might conduct a deep-dive security review on a new feature design, triage a complex bug bounty submission, or work directly with engineering teams to resolve vulnerabilities from different sources like bug bounties, SAST, fuzzing and penetration tests. You will also work autonomously to identify areas where our manual processes slow down. You will write code and integrate AI/LLM solutions to automate initial triage and data enrichment, building tools that help the team handle security findings at scale. In short, your work will sit at the intersection of Product Security, Vulnerability Operations, and internal AI Tooling. Ideally, you have experience in conducting academic/vulnerability research with a focus on systems security. Responsibilities Implement AI Security Solutions: Identify process bottlenecks and build AI-driven tools or scripts to help automate code analysis, optimize triage, and streamline Product Security workflows. Security Reviews & Threat Modeling: Conduct structured security reviews and threat modeling sessions (e.g., STRIDE) across product features, defining security requirements early in the development lifecycle. Product Vulnerability Management: Manage the operational lifecycle of product security findings. Ensure vulnerabilities are verified, mapped to the correct engineering owner, and tracked to mitigation in alignment with established SLAs. Bug Bounty Triage: Perform the technical triage and validation of Cloudflare’s external Bug Bounty submissions, verifying exploitability and evaluating business risk. Pentest Coordination: Support internal and external penetration testing engagements by reviewing findings, clarifying technical context, and assisting development teams with remediation strategies. Engineering Collaboration: Partner closely with DevOps and product teams, acting as a reliable security point of contact and helping developers implement secure coding practices. Desirable Skills, Knowledge, and Experience Product/AppSec Expertise: 5+ years of experience in Product or Application Security within large-scale distributed cloud environments or SaaS platforms. Practical AI & Automation Engineering: Demonstrated ability to build production-grade automation scripts and tools. Must possess hands-on engineering experience leveraging AI/LLMs to solve operational or technical challenges. Threat Modeling & Risk Analysis: Competency in threat modeling methodologies and the ability to evaluate code flaws to determine their actual engineering and security impact. Vulnerability Lifecycle Operations: Experience tracking, routing, and driving the remediation of software vulnerabilities across engineering groups while working against defined SLAs. Strong Collaboration & Communication: Ability to collaborate effectively across teams, clearly communicating technical security risks to software engineers and resolving ownership ambiguity constructively. Bonus points Offensive Security Tooling: Familiarity with modern exploitation techniques, fuzzing frameworks, or automated scanning utilities. Program Management Experience: Experience scaling crowdsourced security programs (e.g., HackerOne, Bugcrowd) or optimizing agile project management workflows within JIRA. Experience in integrating hardware security features into production code bases Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Задачи: — Проводить Discovery и Customer Development. — Исследовать рынок, пользователей и конкурентов. — Проверять гипотезы и рассчитывать Unit Economics. — Создавать PoC и интерактивные прототипы. — Самостоятельно проектировать UX на ранних этапах продукта. — Работать с Founding Engineer до вывода продукта в production. — Управлять roadmap, приоритетами и релизами. — Запускать продукт и развивать первые каналы привлечения пользователей. — Автоматизировать продуктовые процессы с помощью AI-агентов. Требования: — От 5 лет опыта в Product Management, предпочтительно роль CPO/Product lead в последний год с перспективой роста в CEO в течение года. — Опыт полного цикла 0→1. — Опыт в одном из доменов: Corporate Messenger, EdTech, HealthTech на Tier-1. — Навыки Discovery, Customer Development, Product Analytics. — Знание Unit Economics и работа с метриками. — Владение SQL. — Сильные навыки UX и прототипирования. — Практический опыт работы с AI-продуктами (ускорение рутины с помощью скиллов, агентов, субагентов). — Опыт работы с Vibe Coding (Cursor, Claude Code, Windsurf или аналогичные инструменты для сборки PoC). — Английский язык от уровня B2+. Будет плюсом: — Инженерный бэкграунд. — Опыт одновременного ведения нескольких продуктов. Технологии: Cursor, Claude Code, Windsurf, Codex CLI, Claude, OpenAI, MCP, LangGraph, Pinecone, Replit Agent, Framer, Webflow, Figma, Linear, Notion, Slack, PostHog, Plausible

Location: San Francisco; New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW We’re looking for a versatile Senior Analytics Engineer focusing on Product to architect event data models that power decision-making at Harvey. With product-market fit already proven and demand surging across diverse customer segments, you’ll design clean, reliable pipelines and semantic data models that turn raw events into usable insights. As an Analytics Engineer on our team, you’ll help evolve our data stack, champion best practices in testing and documentation, and collaborate closely with product, GTM, and leadership to ensure every team can answer its own questions with confidence. If you combine engineering rigor with a love of storytelling through data we’d love to meet you. WHAT YOU'LL DO - Design and build scalable data models and pipelines using dbt to transform raw data into clean, reliable assets that power company-wide analytics and decision-making. - Define and implement a robust semantic layer (e.g. LookML/Omni/Other) that standardizes key business metrics, dimensions, and data products, ensuring self-serve capabilities for stakeholders across teams. - Partner cross-functionally with Product, GTM, Finance, and the Exec Team to deliver intuitive, consistent dashboards and analytical tools that surface business health metrics. - Establish and champion data modeling standards and best practices, guiding the organization in how to model data for accuracy, performance, usability, and long-term maintainability. - Partner with Product Managers, Engineers, and Data teams to design tracking plans for new product surfaces, ensuring events are implemented accurately, consistently, and with downstream analytics use cases in mind. - Own the product event tracking strategy, including event naming conventions, property schemas, identity resolution, sessionization, versioning, deprecation, and documentation standards. - Empower stakeholders with data by making analytical assets easily discoverable, reliable, and well-documented – turning complex datasets into actionable insights for the business. - You’ll define the structure, taxonomy, governance, and modeling patterns for product event data, ensuring that user behavior, product usage, and customer journeys are captured consistently from instrumentation through analytics-ready models. WHAT YOU HAVE - 5+ years of experience in Analytics Engineering, Data Engineering, Data Science, or similar field. - Deep expertise in SQL, dbt, Python, Snowflake. - Experience with modern BI tools like (Looker/Omni, or similar). - Skilled at defining core business and product metrics, uncovering insights, and resolving data inconsistencies across complex systems. - Strong familiarity with version control (GitHub), CI/CD, and modern development workflows. - Bias for action – you prefer launching usable, iterative data models that deliver immediate value over waiting for perfect solutions. - Strong communicator who can build trusted partnerships across Product, GTM, Finance, and Exec stakeholders. Comfortable working through ambiguity in fast-moving, cross-functional environments. - Balances big-picture thinking with precision in execution – knowing when to sweat the details and when to move quickly. - Experience modeling high-volume, semi-structured product event data, including JSON payloads, nested properties, user/account identifiers, sessions, funnels, cohorts, and behavioral metrics. - Experience with product analytics tools (Mixpanel, Segment, Amplitude) BONUS - Early employee at a hyper-growth startup - Experience with or knowledge of AI and LLMs - Data Engineering Experience - Experience managing data warehouse (preferably Snowflake) - Experience at world-class enterprise orgs (ex: Brex, Ramp, Stripe, Palantir) COMPENSATION $155,800 - $233,600 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-CD1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai