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Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: Make a difference. Are you looking for something new in your career? Enjoy a challenge? Love to innovate and learn? This is an exciting opportunity to join a technology startup in a high growth phase. Our Enterprise Solutions Engineering team are our in-house, customer-facing product experts.  The Enterprise SE team enables Grafana Labs worldwide growth by educating potential and existing customers to ensure they are happy and successful.  We share our technical and product expertise with customers through demos, hands-on enablement, presentations, technical evaluations and ongoing interaction. We also partner closely with our Sales team to help qualify and close opportunities. The Enterprise SE team is also one of the primary routes of communication from our customers through into the Product Management and Engineering teams. What You’ll Be Doing: Join as an early member of a high growth team working together to solve technical and customer problems the right way Partner with our Sales team to articulate the overall Grafana value proposition, vision, and strategy to customers Own the technical engagement with customers and help to close high-velocity opportunities through advanced competitive knowledge, technical skill, and credibility Deliver product and technical presentations to potential and existing customers Proactively communicate with customers and internal teams to provide a feedback loop on our products and the competitive landscape Drive product conversations based on need and problems learned during customer interactions Work with the team to enhance documentation, write blog posts, record videos, contribute knowledge base articles, and create other public and internal enablement material What Makes You a Great Fit: Ideally located on the West Coast 5+ years of technical pre-sales experience, ideally with Open Source technologies, or in the Metrics/Monitoring space while we will be adding more junior folks later on, right now we just need team members that can hit the ground running. We’re a startup so your job duties will be varied and complex and will require strong judgment, collaboration, and leadership We are a remote-first company so you would need to learn to work and collaborate with an international team You will need first class written and oral communication skills to collaborate with our remote-first internal teams and with our worldwide customers. You will need to be able to skillfully articulate our value proposition and the technical advantages of our products You will love solving technical challenges and thrive on bringing creative solutions to our customers You should have a technical mindset and a desire to grow technically. Great candidates may be a recent grad of a coding bootcamp or have previous post-sales or engineering experience–we are excited to see what unique experiences and skill sets you bring to the table! You are self-motivated, initiative, creative, and maybe you’ve already done a brave thing or two in your life! Compensation & Rewards: In the United States the OTE (On-Target Earnings) compensation range for this role is $204,000 - $254,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: SF or Remote (US/Canada) At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE We're looking for a Senior/Staff Analytics Engineer to join our growing Data team and lead the evolution of our Analytics Engineering platform. As Render scales, you'll build the foundations that turn raw data into trusted, reusable models for analytics, executive reporting, and AI-assisted decision-making. In this role, you'll partner closely with analysts, scientists, data engineers, and teams across Product, Engineering, Growth, Go-to-Market, Finance, and other business functions. Analysts and scientists will bring domain expertise and own business logic within their areas; you'll own the technical architecture, modeling standards, and engineering practices that help that work scale reliably. As a Senior/Staff-level individual contributor, you'll set the technical direction for Analytics Engineering at Render—strengthening data quality, improving the developer experience, and building semantic and context layers that make data easier to discover and use. You'll help teams move faster with consistent metrics and maintainable models they can trust. WHAT YOU'LL DO - Own our Analytics Engineering architecture. Guide the long-term evolution of Render’s Analytics Engineering platform, strengthening foundational models so our data remains trusted, scalable, and ready for AI-assisted analytics. - Build trusted, reusable data models. Design, build, and maintain governed dbt models that serve as authoritative sources for business-critical metrics across Product, Engineering, Growth, Go-to-Market, Finance, and other teams. - Establish engineering standards. Define and improve practices for data modeling, testing, documentation, version control, CI/CD, and code review. Review high-impact dbt changes and reduce technical debt across the analytics codebase. - Enable self-service and AI-assisted analytics. Design and maintain semantic and context layers that make metrics consistent, data discoverable, and analysis reliable for both people and AI tools. - Partner closely with analysts and scientists. Help analysts and scientists translate domain-specific business logic into scalable, maintainable warehouse models, moving shared logic out of individual reports and dashboards and into governed datasets. - Improve reliability and efficiency. Partner with Data Engineering to strengthen source data quality, warehouse architecture, and BigQuery performance and cost efficiency. - Raise the bar for Analytics Engineering. Mentor analysts, scientists, and analytics engineers on dbt development, dimensional modeling, and engineering best practices, and help teams adopt shared standards. WHAT WE'RE LOOKING FOR - 7+ years of experience in Analytics Engineering, Data Engineering, or a related technical field, including at least 3 years of hands-on experience running dbt in production. - Expert-level SQL skills and a track record of designing and owning scalable Kimball dimensional models. - Deep expertise in modern Analytics Engineering practices, including Git, testing, CI/CD, documentation, data contracts, lineage, and governance. - Experience building semantic and context layers, trusted metrics, and warehouse architectures that support self-service analytics for humans and AI agents across multiple business domains. - Strong understanding of modern cloud data warehouse architecture, performance optimization, and cost efficiency, with experience in platforms such as BigQuery, Databricks, or Snowflake. - A track record of establishing technical standards, influencing engineering practices without formal authority, and improving reliability while reducing technical debt. - Proven ability to partner closely with analysts, scientists, and business stakeholders to translate requirements into scalable, maintainable data models. - Excellent communication skills. You can explain complex technical concepts and tradeoffs to technical and non-technical audiences and build alignment across teams. - Experience building data models that connect product usage, acquisition, CRM, and financial data across the customer lifecycle. - Experience using AI-assisted coding or analytics tools such as Codex, Cursor, or Claude Code to accelerate data modeling, testing, documentation, or exploration. NICE-TO-HAVES - Hands-on experience with Render’s analytics stack, including BigQuery, Segment, dbt, and analytics tools such as Metabase or Mixpanel. - Experience with developer-focused, product-led, sales-led, or usage-based businesses. - Knowledge of cloud infrastructure, PaaS, developer tooling, or other technically complex products. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: San Francisco, CA Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM The People team at LangChain is architecting the operating system for the team behind the agents. Our charter is to make LangChain the best place to work — building the foundational infrastructure across recruiting, global rewards, performance, and AI upskilling that empowers our team to achieve our mission. We treat the employee lifecycle as a product: modular, intentional, designed for high-velocity iteration. We dogfood our own platform to automate the mundane and keep the team focused on the high-judgment work that matters. ABOUT THE ROLE Our People Operations team is globally distributed. This role is our West Coast presence — the person on the ground in SF and the anchor for People Ops during US hours. This is a logistics, compliance, and hospitality role simultaneously. A new hire's first week is a product we're responsible for, and you own it. You’re the often face of HR to employees, and are focused on solving problems for our users (employees) in a high craft, maximum agency way. The systems here are still being built, and you have an opportunity to help influence how we set up the infrastructure to scale. We’re here to build something great, and you play a key role in making that happen through the foundations of people operations. Location/City: San Francisco, CA — in office 5 days per week. WHAT YOU'LL DO - Own onboarding end-to-end. Run pre-boarding — documentation, account setup, background checks, and the data handoffs to IT, Payroll, and Workplace — so nothing reaches a new hire half-finished. - Run cohort day. Facilitate our twice-monthly in-person onboarding cohorts in SF, including everything from compliance to the employee experience. - Drive the first 90 days support structure. Run the system behind 45/90 check-in cadence, buddy program, and the onboarding survey, including closing the loop on what it tells us. - Be the front line during US hours. Serve as the first stop for employee questions: resolve what you can, route what you can't, and drive ongoing documentation in our knowledge base so it doesn't get asked twice. - Build the process, don't just run it. Write and maintain the onboarding SOPs, close the parity gap between in-office and remote onboarding, and build distinct paths for rehires and international hires. - Automate your own work. Use AI to take the repetitive load off this function — status chasing, packet assembly, provisioning checklists, survey synthesis — and use ticket volume to find what keeps breaking. WHAT YOU'LL BRING - Experience: 2–5 years in people operations, HR coordination, or onboarding at a high-growth tech company, with hands-on HRIS experience (Rippling preferred). - Compliance Fluency: Working knowledge of I-9 and employment eligibility verification, including the retention and audit requirements — plus the follow-through that casework rewards. Documents move on deadline, and you are never the reason something sits. - Documentation-First Instincts: Your processes are written down, current, and usable by someone else. You turn a repeat question into a knowledge base article instead of answering it twice. - AI Fluency: You already use tools to increase your leverage, and you reach for automation instinctively rather than as an afterthought. - White-Glove Judgment: A new hire's first day is a moment that matters and you treat it that way. You handle compensation, immigration, and personal data with discretion. - Resilient Ownership: You're comfortable on a globally distributed team and in a fast paced, build environment. When equipment doesn't arrive or a start date moves, you're calm and already solving it. - Operating Principles: You exemplify our operating principles https://www.langchain.com/careers. NICE TO HAVE - Experience standing up or rebuilding an onboarding program, not just running an existing one - Immigration or visa coordination experience (H-1B, PERM, TN, or equivalent) - Global onboarding exposure - Experience with LangSmith, Claude, or a similar tools Annual salary range: $100,000 – $110,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Role Overview ITI Digital is seeking a Client Success Manager to serve as the primary relationship manager for a diverse portfolio of clients across their DXP platform and managed destination websites. The portfolio includes Destination Management Organizations (DMOs), regional tourism boards, Chambers of Commerce, parks & recreation departments, government agencies, and economic development organizations. A background working with or for these types of organizations is central to this role. This is an active, day-to-day account management position. The Client Success Manager personally conducts onboarding calls, manages ongoing client engagements, monitors product adoption, and leads the renewal process. The role owns a defined core book of accounts directly and provides day-to-day direction to a small team of Client Success Specialists across the team's combined account portfolio. The role also contributes to process refinement and serves as an internal representative of client needs in product and strategy discussions. This is a hands-on, collaborative role rather than a removed management position. Preferred Background The ideal candidate brings direct familiarity with the organizations ITI Digital serves, along with an understanding of the digital tools that support them. Relevant experience may include: — Experience within a Destination Management or Marketing Organization (DMO), government agency, or economic development organization in a marketing, digital, or partnership capacity — Experience selling marketing services, digital platforms, or SaaS solutions to destinations, tourism boards, parks & recreation departments, government agencies, or economic development organizations from an agency or vendor perspective — Familiarity with co-op programs, visitor guide campaigns, itinerary tools, virtual visitor centers, or digital engagement platforms used by public-sector or destination marketing organizations — Understanding of the operational environment of public-sector and quasi-public organizations, including board reporting cycles, grant-funded budgets, fiscal year planning, and multi-stakeholder decision-making processes — Ability to translate understanding of these organizations into thoughtful, consultative account management Key Responsibilities 1. Sales-to-CS Handoff & CRM Stewardship — Maintain CRM company and deal records up-to-date with client information; flag gaps and align with Sales as needed — Manage client management platform configuration, including lifecycle stages, health scores, and onboarding playbooks — Lead periodic reviews of client management platform database to ensure accuracy, clean segmentation, and up-to-date client records — Serve as primary CS point of contact for platform questions, configuration updates, and vendor best practices 2. New Client Onboarding Ownership — Conduct welcome calls and kickoff meetings, establishing meaningful rapport with clients — Clarify package scope, delivery timelines, and client-side resource commitments — Coordinate with Implementation and Technical Support specialists to track milestone completion; escalate blockers proactively — Provide product demonstrations tailored to client use cases — Deliver formal end-of-onboarding notification and satisfaction survey; document lessons learned for playbook improvement 3. Subscription Engagement & Product Adoption Strategy & Support — Maintain direct ownership of an assigned core book spanning DMOs, government agencies, Parks & Recreation departments, and economic development organizations — Conduct regular check-in cadences calibrated to client tier and account health — Connect product features to client outcomes including visitor center engagement metrics, grant reporting requirements, economic development KPIs, and co-op partner ROI — Identify expansion opportunities within existing accounts and hand off to Sales — Identify accounts showing signs of declining usage or key contact changes and respond with education or outreach — Share relevant case studies, benchmark data, and best practices — Serve as internal advocate for clients during product development discussions 4. Client Health Monitoring & Risk Management — Maintain health scores using usage data, survey results, support ticket patterns, and relationship signals — Conduct structured health-check conversations at defined intervals — Deploy satisfaction survey campaigns at key subscription milestones; analyze results and close feedback loop — Classify at-risk accounts on early indicators and maintain documented save plans — Log client-reported technical issues and escalate for triage and engineering assignment — Escalate at-risk accounts to leadership with situation summary and recommended course of action 5. Renewal Management — Maintain current, accurate renewal pipeline with visibility into contract end dates — Initiate renewal conversations well in advance; identify and address concerns early — Apply approved concession parameters for renewal negotiations; escalate offers outside boundaries — Prepare renewal contracts; track signature status and follow up — Escalate contract, pricing, or invoicing concerns to leadership with full account context 6. Team Collaboration, Coaching & Continuous Improvement — Provide day-to-day direction and support to Client Success Specialists — Serve as resource for Specialists in complex client situations — Partner with Implementation, Technical Support, and internal teams to resolve client issues — Contribute to development and refinement of onboarding and adoption playbooks — Contribute sector knowledge to internal conversations regarding product roadmap, marketing, and sales positioning — Uphold consistent standards in client communication, documentation, and CRM data management Ideal Candidate Profile — Dependable, consistently reliable in following through on commitments — Collaborative, willing to share knowledge and provide informal guidance — Consultative, approaches client relationships with careful listening and thoughtful problem-solving — Sector-fluent, familiar with operational and planning cycles of DMOs, government agencies, and economic development organizations — Tech-curious, interested in SaaS and digital platforms — Detail-oriented, attentive to accuracy and thoroughness in CRM management, milestone tracking, and contract administration — Adaptable, comfortable navigating shifting priorities — Autonomous, able to exercise sound independent judgment — Composed under pressure, maintains professionalism in fast-paced environment Position Details — Location: Fully remote — US Eastern Time Zone (8 AM – 5 PM ET). Candidates in US Eastern or Central Time Zone preferred — Work Schedule: Full-time exempt, standard hours 8:00 am–5:00 pm EST, minimum 40 hours per week — Employment Type: Contract-to-hire 1099 with 90-day evaluation, converts to Full-Time W2 with benefits — Compensation: Commensurate with experience — Reports To: VP, Digital Strategy — Platform Communication/Systems: Slack, Zoom, Google Meet, CRM/project management tools such as Vitally CS, HubSpot, Asana, JIRA, Freshdesk

Location: England; Portugal; Spain; Italy; Ireland; Germany Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ We're looking for a Staff Sales Engineer who's energized by solving hard, emerging problems at the intersection of AI, security, and software delivery. You will act as a trusted technical advisor and champion owner, partnering closely with Account Executives, Post Sales, and Product teams to drive measurable business and technical value through: - Technical Selling and Deal Shaping - AI Governance and Security Thought leadership - Technical Champion Ownership and Thought Leadership - Customer and Internal Advocacy - Competitive and Strategic Selling This role suits people who like translating deep technical complexity into business clarity, who are comfortable being one of the first to help define a category, and who bring varied backgrounds and ways of thinking to how we solve customer problems. As a Staff Sales Engineer, you will be reporting to the Solutions Engineering leadership team and operate at the intersection of technical depth, business acumen, and competitive selling discipline. RESPONSIBILITIES Technical Selling and Deal Shaping Lead deep technical discovery across Platform Engineering, DevOps, Security, and AI/ML teams to understand: - AI governance requirements for agentic development (shadow AI, ungoverned MCP tools, agents holding real developer credentials) - Software supply chain risk posture - Regulatory and compliance drivers (e.g., EU AI Act, NIST AI Risk Management Framework) - Secure development lifecycle requirements Shape technical requirements early in the sales cycle to align customer outcomes with Docker's differentiated value in AI governance, container security, and software supply chain integrity. Design, position, and execute structured PoCs/PoVs focused on: - Sandbox, network, and MCP tool policy enforcement - Image and artifact integrity (Docker Hardened Images, SLSA Build Level 3 provenance, verifiable SBOMs) - Software supply chain visibility - Agent and MCP tool governance controls - Secure build pipelines Define clear success criteria, evaluation frameworks, and executive-ready value summaries. Influence decision-making through demos, workshops, architecture reviews, and technical executive briefings. Translate complex AI security and governance capabilities into clear business value narratives for CISOs, Heads of Platform Engineering, and AI leaders. AI Governance and Security Thought Leadership Establish credibility as a trusted advisor on: - Responsible AI development practices - Secure AI model lifecycle management - Software supply chain integrity (SLSA provenance, SBOMs, verified base images) - Container and artifact security - DevSecOps best practices Guide customers in implementing governance controls across AI-enabled SDLC workflows. Provide architectural guidance for: - Agentic AI development environments and runtime isolation (sandboxing) - Policy-as-code enforcement across agents, tools, and machines - MCP tool governance and allow-listing - Identity and access governance for AI workloads (IdP-based role and policy assignment) - Audit, logging, and SIEM visibility for agent activity Act as a subject matter expert on secure software supply chain and AI security trends in customer-facing engagements. Technical Champion Ownership and Thought Leadership - Build, own, and expand relationships with technical champions across Security, DevOps, Platform, and AI teams. - Establish credibility as a trusted advisor through technical thought leadership, architectural guidance, and industry best practices. - Leverage champion relationships to influence broader buying groups, shape requirements, and uncover cross-sell and expansion opportunities. - Maintain engagement beyond the initial sale, ensuring outcomes are realized and leveraging insights to support future sales motions. Customer and Internal Advocacy - Advocate for customer needs with Product and Engineering, providing clear, actionable feedback informed by field experience. - Coordinate with Post Sales and Support resources to ensure continuity across the customer lifecycle. - Develop reusable technical assets (workshops, demos, reference architectures, enablement content) to scale impact across accounts. Competitive and Strategic Selling - Actively support competitive sales motions by identifying differentiation and influencing evaluation criteria throughout the sales cycle. - Partner with Sales to develop technical win strategies for strategic and competitive accounts. QUALIFICATIONS We know strong candidates come from a range of paths, and that confidence gaps keep some excellent candidates from applying to roles like this. If you meet most of what's below and are excited about the rest, please apply. - Experience as a Sales Engineer, Solutions Engineer, or Solutions Architect in complex enterprise sales. - Strong experience running competitive PoCs/PoVs with clearly defined success and exit criteria. - Ability to engage credibly with senior technical and business stakeholders, including security and platform leadership. - Solid understanding of cloud platforms (AWS, Azure, GCP), containers, DevOps, and modern application architectures. - Experience with Docker, container ecosystems, or adjacent technologies strongly preferred. - Development, agentic AI development, software development lifecycle, and/or software supply chain experience strongly preferred. - Familiarity with AI governance, secure software supply chain (SLSA, SBOMs), MCP or agentic tooling, and DevSecOps practices strongly preferred. - Must be fluent in English. - Excellent communication, influence, and stakeholder management skills. - Willingness to travel to customer sites up to 25%. WHAT TO EXPECT FIRST 30 DAYS - You will be welcomed with a first-in-class onboarding experience that includes equipment setup, a sweet swag package, and a collaborative training program working with an onboarding peer. - You will learn how to navigate award-winning sales tools such as Salesforce, Opine, Sigma, and Docker. - You will actively engage with senior stakeholders and manage relationships with clients. - You will work closely with your peers and partner with SEs to develop strategies to advocate for our customers. - At the end of your first month, you will have a proficient grasp of the tools and activities necessary to be successful in your role. FIRST 60 DAYS - You will be laser-focused on supporting the sales teams during your second month. - You will have connected with all of your team members. - You will gain in-depth knowledge of Docker's products and how they impact our customers. - You will have an advanced understanding of tools, activities, and best practices to be successful in your role. FIRST 90 DAYS - In month three, you will be confident in your craft and ready to immerse yourself fully in our customers' business needs. - You will continue efforts to improve messaging, processes, and activities. - You will educate our clients about our product roadmap and undertake product training for users. - You will be ready to operate independently at full speed. Docker does not offer visa sponsorship for this role.   Compensation & Equity EU: €141,400– €202,000 OTE + equity ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Ukraine OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy We're looking for Senior AI Engineers to design, build and run LLM-powered agents and AI features in production. You'll work across the full lifecycle: from scoping a use case with stakeholders, through architecture and development, to deployment, evaluation and ongoing improvement. This is a hands-on role for engineers who think like product owners: you understand the business problem, define what success looks like in numbers, ship to real users, and own the result after launch. Our stack: Python and TypeScript/Node.js, PostgreSQL, Kafka, Docker, GitHub Actions, AWS. We run multiple LLM providers (Anthropic, OpenAI, Google, AWS Bedrock and others) behind a shared LLM gateway, with MCP for tool access. We work AI-native: agentic coding tools are part of how engineering gets done here, and we provide official Anthropic Claude certification for our engineers. As part of our team, your responsibilities in this role will include: Design and build LLM agents and agentic workflows: tool use via MCP, structured outputs, retrieval (RAG), multi-step orchestration, human review steps where needed. Build and maintain MCP servers and tool layers that give agents governed access to company data and systems. Own quality and cost: evals and golden sets, per-agent telemetry (tokens, cost, latency, accuracy), prompt and model versioning, provider failover and model routing. Ship through CI/CD like any other production service: tests and evals in the pipeline, containerized deploys, monitoring, rollbacks. Contribute to shared platform pieces: the agent template, the LLM gateway, observability. Work directly with business stakeholders to scope, prioritize and validate use cases. Push back when something doesn't need an agent. Use AI coding tools daily. Claude Code is our default; deep experience with a comparable agentic tool also works. You drive the tool, verify its output and catch its mistakes. Our ideal candidate possesses the following skills: 5+ years of software engineering experience, with production systems you've designed, shipped and supported. Proven experience building LLM-based agents or agentic workflows that reached production with real users. Hands-on experience with agent frameworks and SDKs: Claude Agent SDK, Claude Managed Agents, Pydantic AI, LangGraph or similar. You can also explain what you'd build without one. Hands-on experience with MCP and RAG: you've built MCP servers or equivalent tool layers, and retrieval pipelines over real, messy data. Experience with multiple LLM providers and with AWS Bedrock: model selection, routing, fallbacks, cost and rate-limit management. Strong Python and SQL. Comfortable in TypeScript/Node.js. Solid production engineering on AWS: Docker, CI/CD, testing, observability. Product thinking and business focus: you start from the problem and its cost, define success in measurable terms, and own outcomes. Daily use of agentic coding tools (Claude Code, Codex, Cursor or similar), with the judgment to verify what they produce. Clear communication with technical and non-technical stakeholders, in English. Nice to have: LLM observability or gateway tooling (Langfuse, LiteLLM, OpenTelemetry for LLM traces or similar). B2B contact and company data: enrichment, deduplication, matching. Cloud operations or FinOps: monitoring, incident handling, cost management. Event-driven or workflow-engine experience (Kafka, Temporal or similar). Experience replacing no-code or workflow-tool automations with production code. What we offer: Fully remote work format; A collaborative and creative environment that values initiative and experimentation; Paid time off and sick leave; Reduced working hours on Fridays during the summer; Days-off on US national holidays + your birthday; Schedule: 14 PM - 23 PM EEST (Kyiv time).

Location: Paris, France Workplace: Hybrid HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐ GENERAL SECRETARY ASSOCIATE INTERNSHIP ⭐ The position is open for gap year or end-of-study interns with a starting date in March 2027, for a six-month internship. It is not open to MBA students. - The Associate supports the General Secretary on top business priorities, such as building new processes internally and externally. - This role offers a unique opportunity to work on a diverse range of projects in a dynamic and innovative environment. ⭐ DETAILED MISSIONS ⭐ The list below is not exhaustive as it will depend on the company priorities during your internship. However it gives a good overview of the range of topics and tasks. Regular missions and recent projects - Sales & Business - Prepare meetings with external stakeholders, support in following up post meetings, track actions to conversion and maintain stakeholder momentum. 👉Help in the organization of events with investors and customers. - Corporate & Governance - Support research and projects related to regulatory stakeholders, fundraisings and governance matters. 👉Contribution to board pack preparation and management (content, timelines, Q&A); conduct targeted legal and market research. - Internal missions - Work on highly structural topics (salary grids, internal frameworks). Improve internal processes and cross-team coordination to ensure Alan can scale without compromising its core values. 👉Harmonization of the weekly internal communication - Brand & Communication - Strengthen the HR & Corporate presence at major events and on social channels, organise internal and external events to build the Alan network and systematize outreach and leverage connections globally. 👉End-to-end organization of events with top schools in our offices - Product & Technical topics - Support cross-functional projects through research, synthesis, and stakeholder coordination, turn insights into actionable recommendations for product and operations. - Talent - Sourcing and recruiting the next GS Associate. 👉Development of the hiring process for the next GS Associate ⭐ PROFILE & COMPETENCIES ⭐ Skills - Proactive & curious - You will be expected to deliver quickly and well on the tasks assigned to you, while to also always be going the extra-mile and show proactive thinking. - Analytical judgment and critical thinking - GS Associate produces a lot of research and analysis. This requires the ability to frame the right questions, evaluate and problem-solve including possible outcomes. - Versatility and stellar execution - You are comfortable with context switching while maintaining impact. - Organization and autonomy - You are well-served in missions requiring precision and reliability. - Crisp thinking and clear communication - You communicate effectively and concisely . - Step back - You have the ability to take a step back and understand the business needs related to any mission. - Technical appetite - Having an aptitude in or appetite for automation, AI and/or data analysis is a plus. Languages - Fluency in spoken and written English. - Fluency in spoken and written French. Background We welcome applications from (at least M1 graduated) candidates with diverse educational backgrounds, including but not limited to: - Business schools (HEC, ESSEC, ESCP, LSE …) - Engineering schools (Polytechnique, Mines Paris, Ecole des Ponts, CentraleSupelec, Imperial … ) - Law schools or political sciences/communication/HR masters in various schools (Science Po, Assas, La Sorbonne, Dauphine…) - Data science or mathematics programs Other relevant fields or schools (Bocconi, Politecnico, TU Delft, UCL, Oxford, Cambridge) Diplomas matter to an extent but if you don’t have one and have built a project or a company, we’d love to hear from you so please send your application! 🙌 PERKS & BENEFITS https://alan.com/about/life-at-alan/a/perks At Alan, we believe that being in good health is a basic need, and it starts with our employees. This is why Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. THEREFORE, WE OFFER: - All the tools you need. Top of the range equipment: Macbook Air, keyboard, laptop stand, monitor, and Bose noise-canceling headphones. - Flexible vacation policy and flexible working hours. Organize your time as you wish. - Transport. Generous transit benefit - Learning & Training opportunities. A highly flexible Training policy free books and budget to attend and speak at conferences if the opportunity arises. - Personal growth through coaching: At Alan, coaching isn't just a perk - it's core to who we are. Every Alaner is paired with a dedicated coach from day one, who helps maximize their impact, nurture engagement, and navigate Alan's values to develop their full potential. Learn more about our coaching culture https://alan.com/en/blog/discover-alan/a/alan-culture-excellence-through-coaching. IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info. #LI-DNP

Location: United States Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. Enterprise Transformation owns Kraken's internal AI platform. AI tooling is deployed at scale across the org. Tiered spend controls are live, a governed integration gateway is in production, and a system inventory is being built against real regulatory obligations. The next constraint is not access. It's capability. The frontier moves every few weeks, and most of what arrives is a protocol, API, or primitive that someone has to turn into something the rest of the company can safely use.   THE OPPORTUNITY - Design and build the technical layer of the AI platform, from integration surface to production runbook. Identify capability gaps between what's possible and what the organization can safely use, then close them by evaluating vendors or building internally. - Own the governed integration gateway as an engineering surface. You'll handle connector onboarding, authentication flows including OAuth and federated identity, reliability, and vendor escalation when things break. - Build internal tooling that extends the platform. Think agent scaffolding, reusable skills and prompt assets, evaluation harnesses for model changes, provisioning automation, and integrations between AI tooling and your systems of record. - Configure and operate tiered spend controls across the AI estate. Set caps by role and tier, build alerting rules, manage exception queues, run monthly reconciliation against vendor commitments, and eliminate the current single author risk in cap automation. - Implement the technical controls behind policy on data handling, retention, and model eligibility. This means identity integration, SSO and SCIM, entitlement by role and tier, and workspace configuration where retention terms differ by model class. - Work directly with teams to unblock them. Sit with them, understand the workflow, build or configure the thing that enables them to get real leverage from the tools. - Run technical enablement. Deep dives for tool rollouts, office hours for model releases, and authority over the engineering detail in knowledge base material. - Administer the enterprise AI estate end to end. Model turn ups, feature enablement, deprecation, provisioning queue, vendor configurations, and seat true ups.   WHAT YOU BRING - Enterprise SaaS administration at 1,000+ seats, ideally including an AI or LLM platform. - Demonstrated ability to build and ship working software, not just configure vendor products. Python or a comparable language should be natural to you. Version control, CI, containers, and secrets management are everyday tools. - Experience integrating against LLM and SaaS APIs with working familiarity of agent and tool use patterns, including MCP or equivalent tool calling architectures. - Working knowledge of identity and access. Okta or an equivalent IdP, OAuth, SCIM, SSO, and federated machine identity are things you've worked with. - Operational discipline. You understand intake queues, SLAs, runbooks, escalation hygiene, and the instinct to document a fix the first time you make it. - Genuine teaching ability. You can explain a technical capability three different ways on the same day to compliance, traders, and backend engineers. - Clear written communication for technical documentation, runbooks, and policy pages. - Judgment about what to build. You can tell the difference between a capability the organization actually needs and a demo that will be abandoned in a month.   NICE TO HAVES - Experience standing up an internal developer or AI platform, including the self service and guardrail layers. - Exposure to FinOps or software asset management practice. - Experience with low code or workflow automation platforms. - Atlassian administration depth in Jira, Confluence, or JSM. - Familiarity with regulated industry audit and evidence work in financial services. Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Poland; Brazil; United Arab Emirates; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; Canada; Hungary; Mexico; Chile; Spain; United Kingdom; Bulgaria Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. Enterprise Transformation owns Kraken's internal AI platform. AI tooling is deployed at scale across the org. Tiered spend controls are live, a governed integration gateway is in production, and a system inventory is being built against real regulatory obligations. The next constraint is not access. It's capability. The frontier moves every few weeks, and most of what arrives is a protocol, API, or primitive that someone has to turn into something the rest of the company can safely use.   THE OPPORTUNITY - Design and build the technical layer of the AI platform, from integration surface to production runbook. Identify capability gaps between what's possible and what the organization can safely use, then close them by evaluating vendors or building internally. - Own the governed integration gateway as an engineering surface. You'll handle connector onboarding, authentication flows including OAuth and federated identity, reliability, and vendor escalation when things break. - Build internal tooling that extends the platform. Think agent scaffolding, reusable skills and prompt assets, evaluation harnesses for model changes, provisioning automation, and integrations between AI tooling and your systems of record. - Configure and operate tiered spend controls across the AI estate. Set caps by role and tier, build alerting rules, manage exception queues, run monthly reconciliation against vendor commitments, and eliminate the current single author risk in cap automation. - Implement the technical controls behind policy on data handling, retention, and model eligibility. This means identity integration, SSO and SCIM, entitlement by role and tier, and workspace configuration where retention terms differ by model class. - Work directly with teams to unblock them. Sit with them, understand the workflow, build or configure the thing that enables them to get real leverage from the tools. - Run technical enablement. Deep dives for tool rollouts, office hours for model releases, and authority over the engineering detail in knowledge base material. - Administer the enterprise AI estate end to end. Model turn ups, feature enablement, deprecation, provisioning queue, vendor configurations, and seat true ups.   WHAT YOU BRING - Enterprise SaaS administration at 1,000+ seats, ideally including an AI or LLM platform. - Demonstrated ability to build and ship working software, not just configure vendor products. Python or a comparable language should be natural to you. Version control, CI, containers, and secrets management are everyday tools. - Experience integrating against LLM and SaaS APIs with working familiarity of agent and tool use patterns, including MCP or equivalent tool calling architectures. - Working knowledge of identity and access. Okta or an equivalent IdP, OAuth, SCIM, SSO, and federated machine identity are things you've worked with. - Operational discipline. You understand intake queues, SLAs, runbooks, escalation hygiene, and the instinct to document a fix the first time you make it. - Genuine teaching ability. You can explain a technical capability three different ways on the same day to compliance, traders, and backend engineers. - Clear written communication for technical documentation, runbooks, and policy pages. - Judgment about what to build. You can tell the difference between a capability the organization actually needs and a demo that will be abandoned in a month.   NICE TO HAVES - Experience standing up an internal developer or AI platform, including the self service and guardrail layers. - Exposure to FinOps or software asset management practice. - Experience with low code or workflow automation platforms. - Atlassian administration depth in Jira, Confluence, or JSM. - Familiarity with regulated industry audit and evidence work in financial services.       Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: United States Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. We're looking for a Head of Exchange Infrastructure to own the layer every Kraken product is built on: the matching engine, core infrastructure, third-party custody, the algo engine and the API engine. Kraken grew up as a set of vertically integrated products, each with its own engine and its own APIs. This role consolidates them into a single exchange stack that serves every product and every interface. You will lead a team of four to five product managers, partnered with an engineering manager. It is a senior, independent team, which means you get leverage quickly and you are expected to stay close to the work.   THE OPPORTUNITY - Own the product vision and roadmap for the exchange layer: matching engine, core infrastructure, third-party custody, algo engine and API engine - Lead and grow a team of four to five product managers, and set the bar for product craft across the layer - Lead the consolidation of multiple matching engines into one, starting with US derivatives, then international derivatives, then spot - Build interface-agnostic, so every product team and every interface can build on the same platform rather than their own - Define success metrics (p99 latency, throughput, uptime, resiliency) and hold teams accountable to them - Partner with engineering leaders across exchange and core infrastructure to sequence the migration without disrupting live markets - Partner with Risk and Credit Infrastructure so a client can hold one account and trade every product against it - Anticipate industry shifts and shape our platform to stay ahead - Align cross-functional teams (product, engineering, risk, compliance) around the exchange strategy   WHAT YOU BRING - Senior product leader with experience in exchange, trading, or high-performance platforms - Experience managing and developing product managers, on a team senior enough to run without you in the room - Happy to be a player-coach. This team is independent, so you will own roadmaps and write specs yourself at times, not only review them - Proven ability to set product vision and translate it into a long-term roadmap - Strong understanding of matching engine and market data architecture, and the tradeoffs low latency forces - Experience building platforms for internal customers, with the judgment to tell a platform from a series of bespoke builds - Excellent communication skills — can influence technical and non-technical stakeholders - A passion for crypto markets, market structure, and building the next generation of infrastructure   NICE TO HAVES - Engineering background before moving into product, so you've built or operated high-performance systems yourself and not just specced them - Experience across both spot and derivatives venues, with the market structure differences that come with each - Time at a crypto exchange operating at comparable scale, volume and uptime expectations - Track record building platform roadmaps that interlock with adjacent product orgs rather than running in isolation Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: United Kingdom; Brazil; United Arab Emirates; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; Canada; Hungary; Mexico; Chile; Poland; Spain; Bulgaria Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. We're looking for a Head of Exchange Infrastructure to own the layer every Kraken product is built on: the matching engine, core infrastructure, third-party custody, the algo engine and the API engine. Kraken grew up as a set of vertically integrated products, each with its own engine and its own APIs. This role consolidates them into a single exchange stack that serves every product and every interface. You will lead a team of four to five product managers, partnered with an engineering manager. It is a senior, independent team, which means you get leverage quickly and you are expected to stay close to the work.   THE OPPORTUNITY - Own the product vision and roadmap for the exchange layer: matching engine, core infrastructure, third-party custody, algo engine and API engine - Lead and grow a team of four to five product managers, and set the bar for product craft across the layer - Lead the consolidation of multiple matching engines into one, starting with US derivatives, then international derivatives, then spot - Build interface-agnostic, so every product team and every interface can build on the same platform rather than their own - Define success metrics (p99 latency, throughput, uptime, resiliency) and hold teams accountable to them - Partner with engineering leaders across exchange and core infrastructure to sequence the migration without disrupting live markets - Partner with Risk and Credit Infrastructure so a client can hold one account and trade every product against it - Anticipate industry shifts and shape our platform to stay ahead - Align cross-functional teams (product, engineering, risk, compliance) around the exchange strategy   WHAT YOU BRING - Senior product leader with experience in exchange, trading, or high-performance platforms - Experience managing and developing product managers, on a team senior enough to run without you in the room - Happy to be a player-coach. This team is independent, so you will own roadmaps and write specs yourself at times, not only review them - Proven ability to set product vision and translate it into a long-term roadmap - Strong understanding of matching engine and market data architecture, and the tradeoffs low latency forces - Experience building platforms for internal customers, with the judgment to tell a platform from a series of bespoke builds - Excellent communication skills — can influence technical and non-technical stakeholders - A passion for crypto markets, market structure, and building the next generation of infrastructure   NICE TO HAVES - Engineering background before moving into product, so you've built or operated high-performance systems yourself and not just specced them - Experience across both spot and derivatives venues, with the market structure differences that come with each - Time at a crypto exchange operating at comparable scale, volume and uptime expectations - Track record building platform roadmaps that interlock with adjacent product orgs rather than running in isolation       Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: United Kingdom Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. We are seeking an experienced and driven MLRO to lead the financial crime compliance programmes across Payward Ltd (PWL) and Payward Services Ltd (PSL), two FCA-regulated UK entities within the Kraken Group. This is a senior role with end-to-end responsibility for the effectiveness of the firms’ anti-money laundering (AML), counter-terrorist financing (CTF), and sanctions controls. You will provide strategic and operational leadership across all aspects of financial crime risk management. This includes maintaining a robust control framework, advising on risk treatment across products and clients, and overseeing the operation and continuous improvement of transaction monitoring and sanctions screening systems.     THE OPPORTUNITY - Oversight of the AML/CTF and sanctions compliance frameworks across PWL and PSL - Develop, implement and maintain the firm’s AML/CTF policies, controls and procedures, ensuring that any global policies, controls and procedures meet UK regulatory requirements - Oversight of transaction monitoring, internal SAR and external SAR/DAML reporting - Oversight of CDD, EDD, enhanced monitoring and sanctions screening processes for the UK - Approve all new high risk client relationships and all periodic review outcomes of existing HRCs - Maintain and regularly update the firms’ business-wide financial crime risk assessments - Provide expert advice on AML and sanctions compliance across the customer lifecycle, including onboarding, periodic review, and investigations - Coordinate internal assurance activity and support external audits and regulatory reviews of the financial crime framework - Deliver training and awareness programmes to ensure staff understand their financial crime responsibilities - Prepare regular reporting and MI for senior management, risk committees, and the board - Lead delivery of UK MLRO team monthly review of UK corporate clients - Produce an annual MLRO report to the Board of Directors that assesses the overall AML/CTF framework and highlights emerging risks and improvements planned - Review monthly compliance and AML MI in order to identify trends, issues and ensure appropriate mitigation / escalation to the Board where appropriate - Attend relevant Committee meetings and Board meetings, support Executive decision making, escalate AML program related issues - Lead on strategic AML framework initiatives/implementations (e.g. Travel Rule) - Horizon scanning - monitor regulatory developments and ensure timely updates to internal policies and procedures - Liaise with law enforcement and regulatory authorities as required: - Regular engagement with FCA supervisory team - PoC for NCA - Support LEAs with setting up accounts     WHAT YOU BRING - Significant experience in AML/CTF and financial crime compliance within a regulated financial services firm - Deep understanding of the UK Money Laundering Regulations, Proceeds of Crime Act, UK sanctions regime (OFSI), and relevant industry guidance (e.g. JMLSG) - Proven track record of operating or overseeing transaction monitoring, sanctions screening, and customer due diligence systems - Skilled in translating complex regulatory requirements into actionable policy and operational controls - Confident communicator, able to influence senior stakeholders and represent the firm in external engagements - Proactive, detail-oriented, and resilient — with the ability to lead cross-functional initiatives and manage competing priorities     NICE TO HAVES - Significant experience in AML/CTF and financial crime compliance within a regulated cryptoasset, e-money, or payments firm       Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

О проекте: Международный проект в области AI Security, связанный с разработкой сред, которые помогают LLM-моделям проходить обучение с подкреплением для задач, связанных с кибербезопасностью. Эти среды содержат задания в различных областях кибербезопасности (пентестинг, реагирование на инциденты, эксплуатация, вредоносное ПО и т.д.), цель — создавать достаточно сложные задачи, чтобы модель допускала ошибки, но которые остаются решаемыми для профессиональных специалистов. Это не классическая позиция Pentester или Red Team Engineer. Основная задача — создавать сложные, но реалистичные и проверяемые security-сценарии, в которых LLM-модели совершают ошибки из-за недостатков в рассуждении (reasoning), а не из-за неоднозначных инструкций или ограничений среды. Задачи: — Проектировать security-сценарии для оценки и обучения LLM-моделей — Создавать environments с использованием GitHub, Slack и других инструментов, встречающихся в реальной разработке — Разрабатывать задачи, требующие сложного многошагового reasoning — Моделировать реальные offensive security-сценарии (supply chain attacks, malicious pull requests, exploitation через GitHub Actions и другие техники) — Проверять сценарии на нескольких frontier-моделях и анализировать причины ошибок — Формулировать ожидаемое поведение модели и описывать, почему ошибка считается reasoning failure — Автоматизировать создание и проверку задач с использованием Python и других инструментов Требования: — 5+ лет практического опыта в Offensive Security, Application Security или Web Penetration Testing — Глубокое понимание современных техник атак и поверхности атаки веб-приложений, API, GitHub, CI/CD и связанных экосистем — Практический опыт penetration testing и исследования безопасности приложений — Опыт разработки на Python и/или JavaScript — Навыки статического и динамического анализа кода (Python, JavaScript, Java) — Умение самостоятельно исследовать новые направления, проектировать сложные сценарии и объяснять результаты — Свободный английский язык (Upper-Intermediate / B2+) — Практический опыт работы с современными LLM-моделями — Понимание особенностей работы LLM, ограничений и типичных failure modes — Интерес к AI Security и исследованию поведения LLM Будет плюсом: — Практический опыт AI Red Teaming или LLM Security — Опыт работы с Agentic AI, AI Agents или Model Evaluation — Опыт исследований безопасности GitHub Actions, CI/CD, Supply Chain Security — Сертификаты OSWE, eWPTXv2, OWEE, OSWA или аналогичные — Публикации, write-ups, участие в Bug Bounty, HackTheBox, TryHackMe, Pwn2Own или других проектах Условия: — B2B-контракт (с ИП) — Оплата в долларах США — Part-time: ориентировочно 5–20 часов в неделю — Минимальный объем — 1–2 задачи в неделю — На выполнение одной задачи обычно требуется 5–10 часов — Локация — строго вне РФ (либо уже за пределами РФ, либо готовность к релокации) — Старт — ASAP

О проекте: Международный проект в области AI Security, связанный с разработкой сред, которые помогают LLM-моделям проходить обучение с подкреплением для задач, связанных с кибербезопасностью. Эти среды содержат задания в различных областях кибербезопасности (пентестинг, реагирование на инциденты, эксплуатация, вредоносное ПО и т.д.), цель — создавать достаточно сложные задачи, чтобы модель допускала ошибки, но которые остаются решаемыми для профессиональных специалистов. Это не классическая позиция Pentester или Red Team Engineer. Основная задача — создавать сложные, но реалистичные и проверяемые security-сценарии, в которых LLM-модели совершают ошибки из-за недостатков в рассуждении (reasoning), а не из-за неоднозначных инструкций или ограничений среды. Задачи: — Проектировать security-сценарии для оценки и обучения LLM-моделей — Создавать environments с использованием GitHub, Slack и других инструментов, встречающихся в реальной разработке — Разрабатывать задачи, требующие сложного многошагового reasoning — Моделировать реальные offensive security-сценарии (supply chain attacks, malicious pull requests, exploitation через GitHub Actions и другие техники) — Проверять сценарии на нескольких frontier-моделях и анализировать причины ошибок — Формулировать ожидаемое поведение модели и описывать, почему ошибка считается reasoning failure — Автоматизировать создание и проверку задач с использованием Python и других инструментов Требования: — 5+ лет практического опыта в Offensive Security, Application Security или Web Penetration Testing — Глубокое понимание современных техник атак и поверхности атаки веб-приложений, API, GitHub, CI/CD и связанных экосистем — Практический опыт penetration testing и исследования безопасности приложений — Опыт разработки на Python и/или JavaScript — Навыки статического и динамического анализа кода (Python, JavaScript, Java) — Умение самостоятельно исследовать новые направления, проектировать сложные сценарии и объяснять результаты — Свободный английский язык (Upper-Intermediate / B2+) — Практический опыт работы с современными LLM-моделями — Понимание особенностей работы LLM, ограничений и типичных failure modes — Интерес к AI Security и исследованию поведения LLM Будет плюсом: — Практический опыт AI Red Teaming или LLM Security — Опыт работы с Agentic AI, AI Agents или Model Evaluation — Опыт исследований безопасности GitHub Actions, CI/CD, Supply Chain Security — Сертификаты OSWE, eWPTXv2, OWEE, OSWA или аналогичные — Публикации, write-ups, участие в Bug Bounty, HackTheBox, TryHackMe, Pwn2Own или других проектах Условия: — B2B-контракт (с ИП) — Оплата в долларах США — Part-time: ориентировочно 5–20 часов в неделю — Минимальный объем — 1–2 задачи в неделю — На выполнение одной задачи обычно требуется 5–10 часов — Локация — строго вне РФ (либо уже за пределами РФ, либо готовность к релокации) — Старт — ASAP

Typeform is a form builder helping over 150,000 businesses collect data with forms, surveys, and quizzes. The company is fully remote and hires candidates based in the UK, Ireland, Germany, Portugal, or The Netherlands. Product Operations is central to how Product and R&D teams work, creating systems and practices to focus on solving the right problems and delivering products. AI is increasingly important, with teams experimenting with tools like Glean and Claude, automations, agents, and AI usage throughout product development. The role of AI Product Operations Lead involves building and operating internal AI Operations capability for R&D. It requires turning ambiguous opportunities into reliable solutions by identifying high-value AI problems, understanding workflows, designing solutions, building or coordinating delivery, and being accountable for performance after launch. Responsibilities include: — Building and improving a backlog of AI opportunities across R&D, prioritizing impactful AI jobs. — Taking ambiguous problems from discovery to delivery: understanding users and workflows, exploring options, designing systems, implementing, testing, documenting, launching, measuring, and improving. — Designing simple AI-native solutions fitting naturally into workflows, deciding when prompts, automations, integrations, agents, databases, or custom apps are appropriate. — Helping R&D get value from enterprise AI tools like Glean and Claude, partnering with IT and InfoSec on access, configuration, connectors, enablement, and support. — Owning the lifecycle of AI systems including automations, skills, agents, and internal web apps. — Establishing evaluation, testing, reliability, observability, security, and maintenance practices, improving systems over time. — Partnering across R&D to uncover needs, unblock delivery, clarify ownership, and involve experts. — Running and evolving R&D AI governance and enablement practices, providing leaders visibility into work, risks, adoption, and outcomes. — Participating in broader AI governance efforts as an R&D contributor. — Working with Finance and partners to improve visibility into AI tool usage, spend, and value to inform investments. — Exploring and supporting autonomous agents to improve planning, discovery, design, build, evaluation, and management across product development. Requirements: — Strong practical experience applying AI to real-world problems, building usable solutions. — Proven track record taking ambiguous problems from discovery through implementation, testing, adoption, and improvement. — Excellent systems thinking to understand people, processes, tools, data flows, integrations, permissions, and constraints, making trade-offs. — Strong user and workflow discovery skills to understand real jobs and simplify solutions. — Hands-on technical fluency building, modifying, troubleshooting internal workflows, automations, agents, or apps. — Practical experience with modern development tools like GitHub, repositories, pull requests, application hosting, deployment, logging, and troubleshooting. — Ability to manage work independently: prioritizing backlog, handling dependencies and risks, documenting decisions, communicating with stakeholders. — Strong approach to evaluation and reliability, defining "good", testing, collecting feedback, and improving live systems. — Ability to work effectively across technical and non-technical teams, asking questions, challenging assumptions, seeking expert input, and progressing without close supervision. — Good judgment on responsible AI, security, access, governance, and knowing when to involve partners. The role reports to VP of Product Operations and collaborates with Product, Engineering, Design, Research, Data Science, IT, InfoSec, and AI practitioners across Typeform.

Location: New York, NY (HQ); San Francisco, CA; Remote (US) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE We're looking for an experienced HRIS Analyst to join Ramp's People team during an active Workday implementation. Reporting to our Senior HRIS Manager, you'll play a hands-on role in configuration and system support, partnering closely with our implementation partner and cross-functional teams through go-live and hypercare. This is an opportunity to help strengthen the data integrity, controls, and employee experience that support Ramp as we scale. You'll bring a solutions-focused, collaborative approach and strong systems thinking to a fast-moving, high-growth environment. The ideal candidate is naturally curious, understands how People data flows across systems, and looks for ways to streamline processes as they build them, staying flexible as priorities evolve along the way.   WHAT YOU'LL DO - Support the configuration, testing, rollout, and ongoing maintenance of Workday modules, including HCM, Benefits, Advanced Compensation, Time Tracking, and Absence - Partner with key stakeholders across the business to gather requirements, run testing cycles, resolve issues, and ensure cutover readiness - Run data validation and audits across HRIS and downstream systems, ensuring data integrity, security, and compliance through regular reporting - Support system releases and enhancements, including testing changes, documenting outcomes, and triaging issues as they arise - Train and enable team members and system users on existing and new processes and functionality - Build and maintain SOPs and job aids that make recurring HRIS processes accurate, scalable, and easy for others to support - Support AI transformation initiatives involving Workday, partnering with People, IT, Finance, and business stakeholders to evaluate and implement AI-driven solutions   WHAT YOU NEED - 3–5+ years of hands-on Workday experience, including configuration and production support - Direct experience with one or more Workday modules: HCM, Benefits, Advanced Compensation, Time Tracking, or Absence - Strong analytical and problem-solving skills, with demonstrated ability to reconcile data, identify root causes, and troubleshoot discrepancies across systems. - Strong attention to detail and track record of managing employee data with sound judgment, accuracy, and appropriate controls - Ability to translate business requirements into configuration, testing, and documentation - Proactive problem-solver who takes initiative to resolve issues with minimal oversight - Strong communication skills and the ability to partner cross-functionally across People, Finance, IT and business stakeholders - Comfort working in a fast-paced, evolving environment   NICE-TO-HAVES - Experience supporting a Workday implementation post-production stabilization - Familiarity with Workday reporting, integrations, or security concepts - Exposure to automation tools or AI-assisted workflows - Background in a high-growth tech or fintech environment, ideally with global scope BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Remote - United States About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role We're looking for a Staff level Engineer to lead the design and development of a next-generation Data Platform at Vercel. This is a unique opportunity to architect a foundational system that will power data across our products and business, supporting everything from real-time analytics to AI/ML initiatives. Reporting directly to the Senior Director of Data Engineering, you'll define the technical vision for our data ecosystem, work across the organization to align engineering strategy with product goals, and build scalable, reliable systems using modern technologies like Kafka, ClickHouse, Tinybird, and Snowflake. You'll lead from the front, writing production-grade code, setting high standards for design and data governance, and mentoring a team of engineers as the organization grows. If you're excited by the challenge of building scalable data systems that drive product innovation, we'd love to hear from you. What you'll do Design and implement a next-generation data platform that supports diverse requirements, including batch and real-time integrations, advanced analytics, and multiple data types, leveraging Kafka, Kafka-based tooling, and additional streaming technologies to power real-time data movement and processing. Work with engineering, product, and senior leadership teams across Vercel to architect solutions that address business needs, aligning technical strategies with product goals and ensuring seamless data availability and usability. Define and maintain guidelines for data ingestion, creation, enrichment, and storage, while overseeing data modeling, ETL processes, and data warehousing (ClickHouse, Tinybird, Snowflake) to achieve low-latency analytics and scalable storage. Develop end-to-end solutions across the tech stack, setting the example for engineering excellence, and provide mentorship and direction that fosters continuous improvement and innovation in the team. Partner with Security, Compliance, and Legal teams to ensure adherence to data protection standards, and champion high availability and fault tolerance through comprehensive monitoring, alerting, and incident response practices. Drive architectural decisions and roadmap planning that ensure efficiency, scalability, and high performance, and evaluate build-vs-buy trade-offs, integrating vendor solutions where appropriate. Collaborate with data scientists and machine learning teams to evolve infrastructure that supports advanced analytics and AI initiatives, serving as a key contributor to strategy, tooling, and platform enhancements for ML-related workloads. Act as a key decision-maker for discovering, vetting, and selecting data architectures and technologies critical to Vercel's success, and establish multi-phase strategic roadmaps that align with overall business objectives and drive data platform maturity. What you need 8+ years of experience in data engineering, data architecture, or related roles, with at least 5 years at the Principal Engineer level. Proven track record designing and operating large-scale data infrastructures at high scale in a complex, fast-paced environment, with experience across Kafka and its ecosystem (e.g., Kafka Streams, Confluent Platform), ClickHouse, Tinybird, Snowflake, and broader big data frameworks. Proficiency in cloud platforms (AWS, GCP, or Azure) and associated big data services. Strong background in data governance and security, and adept at ensuring compliance with regulatory standards and protecting sensitive information. Outstanding communication and collaboration skills, with the ability to influence technical and non-technical stakeholders across varying organizational levels. A leadership mindset, with demonstrated ability to mentor teams, drive consensus, and advocate for best practices across the organization. A Master's degree in Computer Science, Engineering, or a related field is preferred. Industry recognition or notable contributions in data engineering (e.g., published works, open-source contributions) is a plus. Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $232,000 - $348,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: San Jose, California, United States Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Team The Financial Crime Quality Assurance (QA) team at OKX is responsible for maintaining and enhancing the quality of financial crime investigations across the business. We are a team of risk-focused professionals who independently assess investigation quality, promote consistency in decision-making, and ensure compliance with AML/CFT requirements, internal policies, and regulatory expectations. By working closely with Operations, Product, and Compliance teams, we help strengthen financial crime controls and drive continuous improvement across the investigation lifecycle. About the Opportunity This is an exciting opportunity to join the Compliance Assurance Function of a regulated crypto business. As a QA Analyst, you will be responsible for conducting quality reviews of financial crime investigations, assessing investigator decision-making, and ensuring compliance with AML/CFT requirements, internal policies, and quality standards. You will work closely with Operations, Team Leads, and Product teams to drive continuous improvement, strengthen investigation quality, and support the effectiveness of the firm’s financial crime controls. What You’ll Be Doing Quality Reviews – Conduct daily independent QA reviews of investigator and Sanctions casework, including Transaction Monitoring, Name Screening, EDD, and other AML investigations. Evaluate accuracy, completeness, adherence to AML/CFT policies, regulatory requirements, internal procedures, and the quality of case narratives. Assess whether investigative decisions are well-supported, risk-based, and appropriately documented, including escalation and disposition outcomes. Identify defects, document findings, and provide clear, constructive feedback to investigators and team leads. Stakeholder Collaboration – Partner closely with the Financial Crimes Operations team, Team Leads, Product teams, and other stakeholders to communicate QA findings, discuss quality trends, resolve process gaps, and ensure consistent interpretation of policies and quality standards. Build strong relationships across AML and other cross-functional teams to support a holistic approach to compliance and risk management. Quality Calibration & Internal QA Meetings – Participate in and facilitate regular QA calibration sessions to review complex or borderline cases, discuss grey areas, align on scoring methodology, and ensure consistency in quality evaluations across the QA team. Share key findings, emerging typologies, regulatory expectations, and best practices to improve review quality and reduce subjectivity. Performance Monitoring & Reporting – Monitor investigator quality performance, analyze QA findings and recurring error trends, and prepare regular quality reports and dashboards. Identify systemic issues, emerging risks, root causes, and opportunities to strengthen controls and support management decision-making. Coaching & Quality Improvement – Provide timely and actionable feedback to investigators and team leads to improve investigation quality, strengthen analytical skills, and enhance case documentation. Act as a Subject Matter Expert (SME) for AML investigations by providing guidance on complex or high-risk cases, typologies, and regulatory expectations. Support remediation activities by validating corrective actions and tracking quality improvements over time. Policy & Process Compliance – Ensure all reviews are conducted in accordance with internal AML/CFT policies, regulatory requirements, quality frameworks, and standard operating procedures. Escalate potential compliance risks, control weaknesses, or systemic issues identified during QA reviews. Continuous Improvement & QA Framework – Support continuous improvement by recommending enhancements to investigation procedures, QA methodologies, workflows, scorecards, sampling frameworks, training materials, and quality controls. Contribute to AI-enabled quality tools such as QA Copilot and participate in UAT, process validation, and implementation of new quality initiatives. AML Projects & Program Enhancements – Participate in AML-related projects, initiatives, and program enhancements as required. Provide QA expertise and support cross-functional initiatives aimed at strengthening AML controls, processes, and overall program effectiveness. Ad Hoc Responsibilities – Perform additional assignments and special projects as delegated by the supervisor, including process improvement initiatives, training support, root cause analysis, documentation updates, and cross-functional projects to strengthen the overall quality program. What We Look For In You Bachelor's degree in law, finance, business administration or a related field; a relevant compliance certification (e.g. ICA, CAMS) is an advantage Prior experience in a compliance, legal or regulatory role within financial services, fintech or crypto industry is preferred Strong understanding of AML/CFT regulations, financial crime investigations, transaction monitoring, and QA methodologies, with the ability to evaluate investigation quality, assess decision-making, and ensure compliance with regulatory requirements, internal policies, and quality standards Strong analytical ability, with the capacity to assess regulatory obligations, identify gaps and produce well-reasoned written analysis High attention to detail and the ability to maintain accurate records and produce consistent, high-quality documentation Fluent in English with clear written and verbal communication skills, including the ability to convey compliance requirements to non-specialist colleagues Strong organisational skills, able to manage multiple concurrent workstreams, prioritise effectively and meet regulatory deadlines Comfortable operating with limited supervision, escalating appropriately when required Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $107,000 - $160,000 The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. 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