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Location: San Francisco fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on. ABOUT THIS ROLE: You'll make sure fal can get the GPUs it needs, at the right price, the moment it needs them. You'll own fal's relationships with hyperscalers and neoclouds, know what capacity exists and what it really costs, and bring the best of it to the table. This is a technical and commercial role in equal parts. You'll judge a supplier's offer from the GPU up to the data center, negotiate terms alongside our deal team, and hold a clear view of where the compute market is heading. It is not a sales role, and it is not a procurement desk. WHAT YOU’LL DO - Supplier relationships. Build deep, multi-level relationships across hyperscalers and neoclouds, including NVIDIA cloud partners, so fal is the first call when capacity frees up. - Capacity evaluation. Assess every offer from the GPU to the data center: hardware generation, node and rack configuration, interconnect, power density and cooling. Know what a configuration will actually deliver, not just what the spec sheet says. - Pricing and market intelligence. Track rates by GPU generation, region and contract term. Explain why a price moved, what it signals, and when fal should buy, wait or switch. - Negotiation. Work with our deal team to negotiate capacity commitments, deposits and payment timing, SLAs and remedies, and carry agreements to signature. - Sourcing against fal's needs. Turn GPU requirements from our fleet operations team and demand forecasts into a sourcing plan: which suppliers, which regions, which terms. - Market point of view. Form and defend a view on supply coming online, platform transitions such as new GPU generations, and regional or policy shifts. Turn it into concrete sourcing decisions. QUALIFICATIONS/NICE-TO-HAVES - A bachelor's degree in engineering, computer science, business, economics or a related field. - 5+ years in compute or infrastructure capacity, sourcing, partnerships or strategy, at a hyperscaler, neocloud, GPU marketplace, chip vendor, OEM, or an AI infrastructure company. - Enough technical fluency with GPUs, servers and data center infrastructure to test what a supplier is offering. - Commercial judgment: comfort with unit economics and contract structure, and a sense for when a price means something is wrong. - A track record of building relationships across large, complex organizations. - Existing relationships at hyperscalers or major neoclouds, including NVIDIA cloud partners. - Experience managing allocation, forecasting or partner standing directly with NVIDIA or a tier-1 OEM. - Willingness to travel to evaluate sites and infrastructure in person. WHAT WE OFFER AT FAL - Interesting and challenging work - A lot of learning and growth opportunities - We offer visa sponsorship and will help you relocate to San Francisco. - Health, dental, and vision insurance (US) - Regular team events and offsites COMPENSATION - $200,000 - $250,000 + equity + comprehensive benefits package   U.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION: fal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI Engineer on the Startups team at Anthropic, you will be a trusted technical advisor to the top AI-native startups building in the physical world, across robotics, semiconductors, aerospace, manufacturing, and civil infrastructure, as they grow from early product to scale. Some of these companies build the hardware itself and want Claude woven into how they design, test, and operate it, and others build the software that engineers everywhere use to design, simulate, test, and scale, and this role works with both. You'll lead deep technical engagements, partnering directly with startup software and hardware engineering teams to help them build their products on Claude and run their own engineering with it, advising on implementation and agent design as they build what is newly possible with AI in the physical world. You will bridge the gap between what Claude can do and what it takes to build real things, working alongside some of the strongest teams in the field on problems that matter and helping mechanical, electrical, and process engineers get the kind of step change that software engineering has had from agentic coding with tools like Claude Code. Working closely with Applied AI Architects, Account Executives, and Anthropic's Product, Engineering, and Research teams, you'll help startups build at the edge of what is possible with Claude. You'll leverage your AI engineering expertise and your engineering domain knowledge to develop custom evaluation frameworks, design scalable architectures, and create the technical resources that enable physical AI startups to succeed with Claude. Responsibilities Serve as a deep technical advisor to high-potential startups building in the physical world, whether Claude sits inside the product they sell or inside the way they design, test, and run their own hardware, working alongside them to push the boundaries of AI in engineering, manufacturing, operations, and more Work hands-on with startup software and hardware teams through pair programming and architecture reviews that accelerate their development, and understand their engineering workflows end to end, from design and simulation through test, production, and operations, so that your guidance fits how real hardware gets built Develop prototypes and technical documentation, including evaluation suites, benchmarks grounded in real engineering tasks, AI engineering techniques, and architecture diagrams, that enable startups to build, operate, and scale with Claude Create reference implementations and sample code that many companies can adopt without starting from scratch, for example integrating Claude with CAD, simulation, design tools, or industrial automation Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements Identify patterns across engagements, including what is hard about applying AI to physical systems such as reading drawings, 3D geometry, board layout and routing, GD&T, latency and on-premise constraints, and physical safety, then build repeatable evaluations and solutions and contribute insights back to Product, Engineering, Research, and the broader Applied AI team Create technical content for startup audiences including documentation, tutorials, and sample code Foster community engagement through hackathons, webinars, technical office hours, and startup-focused events Travel to customer sites for workshops, implementation guidance, and relationship building You may be a good fit if you have Deep engineering experience in a physical discipline such as mechanical, electrical, aerospace, robotics, semiconductor, manufacturing, or civil engineering, gained by designing, building, or operating real hardware, along with strong opinions of your own about how to bridge the gap between what AI can do today and how physical things get built 4+ years of technical experience as a software engineer, ML or research engineer, robotics or controls engineer, hardware or systems engineer, or technical founder, with either production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale, or a track record of successfully applying AI to real engineering work in design, simulation, test, or production Experience with startups or high-growth companies and a love of working with founders and small teams that move quickly Strong technical communication skills, with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans for both software and hardware engineering audiences and to run technical workshops, hackathons, or developer-focused events A collaborative approach to working across teams, the range of a generalist who can context-switch from robots to chips to rockets to factories and get up to speed on a new domain quickly, and a passion for making powerful technology safe and beneficial The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $280,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI Engineer on the Startups team at Anthropic, you will be a trusted technical advisor to the top AI-native life sciences and biotech startups as they grow from early product to scale. Some of these companies build products on Claude that they sell to the rest of the industry, and others do the science themselves and want Claude woven into how their own research runs, and this role works with both. You'll lead deep technical engagements, partnering directly with startup engineering and scientific teams to help them build their products on Claude and run their own research with it, advising on implementation and agent design as they build what is newly possible with AI in the life sciences. You will bridge the gap between what Claude can do and what the life sciences need, working alongside some of the strongest teams in the field on problems that matter and pushing the boundaries of AI in science as you go. Working closely with Applied AI Architects, Account Executives, and Anthropic's Product, Engineering, and Research teams, you'll help startups build at the edge of what is possible with Claude. You'll leverage your AI engineering expertise and your scientific domain knowledge to develop custom evaluation frameworks, design scalable architectures, and create the technical resources that enable life sciences startups to succeed with Claude. Responsibilities Serve as a deep technical advisor to high-potential life sciences and biotech startups, whether Claude sits inside the product they sell or inside the way they make discoveries, working alongside them to build innovative use cases that push the boundaries of AI in scientific research and development Work hands-on with startup engineering teams and their scientists through pair programming and architecture reviews that accelerate their development, and understand their scientific workflows end to end so that your guidance fits into real research pipelines Develop prototypes and technical documentation, including evaluation suites, scientifically grounded benchmarks, AI engineering techniques, and architecture diagrams, that enable startups to build, operate, and scale with Claude Create reference implementations and sample code that many companies can adopt without starting from scratch, such as example MCP servers for domain-specific data sources like genomics platforms, literature databases, and experimental repositories, along with agent skills for common scientific workflows Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements Identify patterns across engagements, including what is hard about deploying AI in the life sciences such as heterogeneous data, auditability requirements, and the gap between a working prototype and a system that scientists trust, and contribute insights back to Product, Engineering, Research, and the broader Applied AI team, including feedback on the model capabilities and product features that would most accelerate discovery work Create technical content for startup audiences including documentation, tutorials, and sample code Represent Anthropic across the life sciences startup ecosystem and foster community engagement through hackathons, webinars, technical office hours, in-person founder events, and research show and tells Travel to customer sites for workshops, implementation guidance, and relationship building You may be a good fit if you have Deep experience in the life sciences or biotech, gained through research or industry work in areas such as genomics, drug discovery, molecular design, lab automation, or clinical development, along with strong opinions of your own about how to bridge the gap between what AI can do today and what the life sciences need 4+ years of technical experience as a software engineer, ML or research engineer, computational biologist, research scientist, or technical founder, with either production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale, or a track record of successfully applying AI to real scientific work in the lab or in research Experience with startups or high-growth companies and a love of working with founders and small teams that move quickly Strong technical communication skills, with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans for both engineering and scientific audiences and to run technical workshops, hackathons, or developer-focused events A collaborative approach to working across teams, the ability to context-switch across scientific domains and use cases, and a passion for making powerful technology safe and beneficial The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $280,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA or Seattle, WA Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE Docker AI Gateway is our answer to the complexity of taking AI agents from prototype to production. It’s a powerful, intelligent, and secure control point that eliminates the toil of model orchestration, tool management, observability, and governance—so developers can focus on building incredible AI agents, not gluing together infrastructure. The Gateway sits at the center of modern AI applications, offering: - A model and tool routing layer with built-in security and cost optimization - A familiar OpenAI-compatible interface and MCP server - Unified observability and policy enforcement - Auto-RAG, tool injection, session summarization, and more We’re just getting started—and we need exceptional engineers to help us build the backbone of the future of agent-based development. _______________________________________________________________________ WHAT YOU’LL DO - Design and implement core systems powering the AI Gateway, including the model router, MCP gateway, and control plane - Build infrastructure that supports dynamic model selection/routing, auto-failover, cost-based routing, and policy enforcement - Own critical capabilities such as secure credential storage, session summarization, caching, and rate limiting - Develop APIs for developers building with OpenAI-compatible interfaces and the Model Context Protocol - Build the underlying infrastructure to support evaluation, telemetry, replay, and backtesting for agents and LLM workflows - Lead architectural decisions and mentor engineers as the team scales - Performance tuning - caching, session summarization, and rate limiting that keep the gateway fast under real production load - Contribute to roadmap planning, technical strategy, and cross-functional alignment KEY PROBLEMS YOU’LL HELP SOLVE - Building a unified abstraction over fundamentally different model and tool providers without leaking their differences into the developer experience - Making credential and identity handling for tool access both airtight and fast - Giving developers real-time and historical visibility into what their agents are doing, with policy enforcement that can't be bypassed - Keeping latency low and reliability high as traffic scales from early adopters to production fleets - Take part in on-call rotation for your team, respond to incidents, debug production issues, and drive continuous improvement of system reliability _______________________________________________________________________ WHO YOU ARE Required Qualifications: - 6+ years of backend engineering experience with production-grade systems - Deep knowledge of distributed and highly scalable systems, cloud-native infrastructure, and API design - Experience building secure, high-throughput services (e.g., gateways, proxies, load balancers, policy engines) - Fluency in Go, and/or Rust (both preferred) - Familiarity with AI/ML platforms or model serving infrastructure - A strong product mindset—you're excited about building developer-facing tools - Ownership mentality with a bias for shipping, learning, and iterating - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience Bonus Qualifications: - Prior experience with OpenAI, Anthropic, or similar LLM APIs - Familiarity with RAG architectures, vector databases, or agent frameworks (e.g., LangChain, AutoGPT, CrewAI) - Experience with policy engines (e.g., OPA), observability frameworks (e.g., OpenTelemetry), or API gateways - Understanding of OAuth2.1, secret management, and cloud IAM systems - Experience with Kubernetes, Docker, and microservices architecture _______________________________________________________________________ WHY JOIN US? - Work on what’s next: The agent era is just beginning. Help define the infrastructure stack for the next generation of software. - Own mission-critical infrastructure: Be part of a small team building the backbone of secure, intelligent agent applications. - Impact at scale: Your work will touch tens of thousands of developers building AI-first applications. - Engineering excellence: Join a world-class engineering team that values simplicity, code quality, and deep technical thinking. - Remote-first culture: Work from anywhere with a team that trusts and empowers you. Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. United States: $160,900 – $260,700 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: San Francisco, CA or Seattle, WA Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE Docker AI Gateway is our answer to the complexity of taking AI agents from prototype to production. It’s a powerful, intelligent, and secure control point that eliminates the toil of model orchestration, tool management, observability, and governance - so developers can focus on building incredible AI agents, not gluing together infrastructure. The Gateway sits at the center of modern AI applications, offering: - A model and tool routing layer with built-in security and cost optimization - A familiar OpenAI-compatible interface and MCP server - Unified observability and policy enforcement - Auto-RAG, tool injection, session summarization, and more We’re just getting started and we need exceptional engineers to help us build the backbone of the future of agent-based development. _______________________________________________________________________ WHAT YOU’LL DO - Set technical direction for core systems powering the AI Gateway 0 the model router, MCP gateway, and control plane - and make sure architectural decisions hold up as usage scales by 10x - Consistently identify gaps in our infrastructure, process, or tooling before they become blockers, and drive the fix from idea to production - Take a significant, hands-on role in defining, delivering, and implementing the Gateway's technical strategy, in close partnership with engineering leadership - Own the hardest, highest-ambiguity problems in the system: dynamic model selection, auto-failover, cost-based routing, and policy enforcement that has to work end-to-end - Act as the go-to expert for secure credential storage, session summarization, caching, and rate limiting - the capabilities everything else depends on - Build the infrastructure that lets us, and our customers, evaluate, replay, and backtest agent and LLM behavior with confidence - Mentor senior and mid-level engineers, and raise the technical bar for the team through code, design review, and example - Partner with product, design, and leadership to shape not just what the control plane UI does, but where the product goes next KEY PROBLEMS YOU’LL HELP SOLVE - Define the unified abstraction layer across diverse model and tool providers (OpenAI, Anthropic, Google, AWS Bedrock) that the rest of the org builds on - Architect secure, scalable identity and credential vaulting for tool and model access, trusted enough to run at enterprise scale - Build the infrastructure for real-time and historical analytics of AI agent behavior that leadership and customers both rely on - Guarantee that policy enforcement and logging work end-to-end - from prompt to tool to response - with no gaps an auditor (or attacker) could find - Set the bar for developer experience through intuitive APIs and first-class observability - Take part in on-call rotation for your team, respond to incidents, debug production issues, and drive continuous improvement of system reliability _______________________________________________________________________ WHO YOU ARE Required Qualifications - 8+ years of backend engineering experience, with a track record of owning production-grade systems at significant scale - Deep specialization in distributed systems, cloud-native infrastructure, and API design - recognized by peers and cross-functional partners as a go-to expert, not just experienced - Experience building secure, high-throughput services (gateways, proxies, load balancers, policy engines), and a history of making judgment calls other engineers rely on - Fluency in Go and/or Rust - A track record of identifying systemic gaps - in architecture, process, or tooling-— and driving the fix across team boundaries, not just within your own - A strong product mindset, with real experience shaping technical direction rather than only executing against it - Comfortable operating with wide latitude: given a problem and significant autonomy in how to solve it, including when and who to pull in - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience BONUS QUALIFICATIONS - Prior experience with OpenAI, Anthropic, or similar LLM APIs - Familiarity with RAG architectures, vector databases, or agent frameworks (e.g., LangChain, AutoGPT, CrewAI) - Experience with policy engines (e.g., OPA), observability frameworks (e.g., OpenTelemetry), or API gateways - Understanding of OAuth 2.1, secret management, and cloud IAM systems - Experience with Kubernetes, Docker, and microservices architecture - A track record of setting technical standards that other teams or engineers went on to adopt _______________________________________________________________________ WHY JOIN US? - Work on what’s next: The agent era is just beginning. Help define the infrastructure stack for the next generation of software. - Own mission-critical infrastructure: Be part of a small team building the backbone of secure, intelligent agent applications. - Impact at scale: Your work will touch tens of thousands of developers building AI-first applications. - Engineering excellence: Join a world-class engineering team that values simplicity, code quality, and deep technical thinking. - Remote-first culture: Work from anywhere with a team that trusts and empowers you. Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. United States: $170,350 – $275,550 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: India; Bangalore; Mumbai; Delhi Workplace: Remote ClickHouse is hiring for our Regional Field Marketing, India role to lead our regional field marketing strategy in India. This is a foundational role responsible for building awareness, generating pipeline, and accelerating revenue in the region. In this role, your mission will be to define and scale the India regional field marketing engine. You will own the regional field marketing strategy, partner closely with India sales leadership, and adapt global campaigns to the needs of the India market. You will be measured on enterprise pipeline and self-service revenue (MRR), working across both our self-serve product-led motion and our sales-led enterprise motion. What You Will Be Doing - Own the India regional field marketing strategy, annual plan, and budget, aligning field programs to regional pipeline and revenue targets with sales leadership. - Act as the marketing counterpart to India sales leadership, joining regional forecasting, QBRs, and account planning so marketing investment maps to sales priorities. - Partner with demand generation and growth to build programs for strategic verticals and AI-native sales teams, and to convert self-serve usage into commercial pipeline and expansion revenue. - Build an integrated regional program mix spanning first-party hosted events, third-party conferences, virtual events, ABM plays, digital advertising, and partner marketing. - Adapt global campaigns, messaging, and content for the India market. - Establish scalable processes for campaign planning, lead management, and follow-up with marketing operations and global demand generation, so every program has a clear path from engagement to pipeline. Report on pipeline generated and influenced revenue. - Identify emerging opportunities across India, make the case for new investment in geographies, verticals, or channels, and represent the region in global planning cycles. What You Bring Along - 10+ years of experience in field, regional, or integrated marketing within the database, data analytics, infrastructure, or developer tooling space - Deep experience marketing in India - Demonstrated success owning a pipeline number and driving measurable revenue impact through regional marketing programs - Proven ability to partner with sales leadership at the VP level - Experience working in a remote-first, globally distributed organization, collaborating across time zones - Comfortable with ambiguity and energized by building in a fast-paced, high-growth environment - Able to travel at least 2 times per month across India   PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Job Title: Data Center Strategy - Edge Available Locations: San Francisco, Austin, Seattle, or New York About the Role We are seeking a new Data Center Strategy team member to improve the quality and unit cost and grow the size and number of our colocation sites/PoPs, and help us understand where on the map Cloudflare’s infrastructure needs to go next.  You possess a broad set of contacts across the data center industry and are able to navigate local and international businesses in various markets to drive the best possible deal parameters.  You will unlock efficiency within our vendor partner portfolio by understanding how to structure contracts to follow demand, keeping abreast of unique market dynamics and insights that help us negotiate, and managing vendor partner relationships to know where to invest and partner further with existing or new partners.  We are looking for someone who excels at progressing many projects in parallel, managing dynamic day to day priorities with many stakeholders, and has experience implementing and refining sourcing best practices in a high growth environment.  Getting stuff done is a must! The Data Center Strategy team is part of Cloudflare’s global Infrastructure strategy team. The infrastructure strategy team grows and manages Cloudflare’s global data center/PoP footprint, enabling Cloudflare’s tremendous growth with compute, network, and data center infrastructure, utilizing an extensive range of global partner vendors. What You'll Do: Define regional vendor strategy for data centers Own deals end to end involving new and existing data center vendors and sites to support Cloudflare’s infrastructure growth including planning, RFP, commercial negotiation and execution Work cross-functionally with legal, operations, capacity planning, network strategy and security teams to understand requirements and project timelines Establish and conduct scheduled QBR and other vendor management activities with top category partners Represent Cloudflare credibly to external partner C-level senior management and at public conferences/events Expert point of contact for internal business customers & external colocation partner vendors as needed Contribute information to annual data center budget for effective tracking and benchmarking of infrastructure costs Review colocation spend & invoices for management approval Other duties as assigned Must Have Skills: 10+ years in planning and managing data center footprints within a fast moving enterprise technology organization or cloud services, software or colocation company Ability to multi-task and manage complex projects across multiple teams and geographies within set deadlines Ability to navigate, solve problems and answer questions with minimal supervision Relationship management experience and excellent communication skills Demonstrated experience in commercial negotiation Experience with rack, site power and white space planning (data center sales engineering) a plus Experience with or understanding of network concepts a plus Experience in budget planning, financial analysis, or other analytical role a plus Experience with Jira a plus Multilingual and/or experience living/working/conducting business in another country a plus Bachelor's degree or equivalent experience required Nice-to-Have SKills: Sale-leaseback, JV, or PPA / power-procurement work Existing relationships with developers, wholesale operators, brokers, or utilities High-density / liquid-cooling site constraints Network (fiber diversity, latency, MMR) Government incentives or economic-development agreements Another language Compensation Compensation may be adjusted depending on work location. For Bay Area based hires: Estimated annual salary of $166,000 - $271,000 For New York based hires: Estimated annual salary of $158,000 - $257,000 For Seattle based hires: Estimated annual Salary of $158,000 - $257,000 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Senior Partner Solutions Manager, Strategic Partnerships, you'll own the technical strategy and validation of joint work with GitLab's strategic partners: hyperscalers, artificial intelligence (AI) labs, AI-native companies, and development, security, and operations (DevSecOps) vendors. You'll work with partners, Product, and Research and Development (R&D) to turn partner and customer needs into integrations, influence product design, and build the business case for each joint effort, from the first architecture review to a shipped integration. In this role you will also own the AI model evaluation process with our model partners, working closely with our R&D teams to assess new models ahead of release and ensure GitLab is built on the best-performing models for our customers. Unlike a customer-facing Solutions Architect role focused on adoption, you'll work with partners to make GitLab better. This role has no sales quota or variable pay. At GitLab, our mission is simple: to enable everyone to contribute to and co-create the software that powers our world. Our platform doesn't just bring people together-it unites teams and organizations, breaking down barriers and redefining what's possible in software development. What You’ll Do Own the end-to-end technical strategy for assigned strategic partners, connecting technical requirements with joint business objectives. Turn partner technology and roadmaps into integration, architecture, and product opportunities across the GitLab platform, from planning to monitoring and AI agents and model integrations. Resolve complex technical issues across GitLab and partner systems, including cloud architecture, tool integrations, and AI model and agent evaluation and integration. Build working prototypes to validate concepts with partners. Manage the end-to-end AI model evaluation process with our model partners, coordinating with R&D to secure early access, align on evaluation criteria and timelines, and translate results into partnership and product roadmap decisions. Design and facilitate partner workshops, architecture reviews, and cloud financial management (FinOps) sessions, bringing in the right participants and documenting outcomes and next steps. Build business cases for joint technical efforts, defining expected gains, costs, and resources, and securing agreement from partner managers, R&D, and leadership. Bring partner requirements and technical feedback into Product and R&D discussions to influence product design and the roadmap. Coordinate Engineering, Product, FinOps, Finance, Sales, and Marketing with partner technical teams to move joint work from evaluation to delivery. Track cloud, AI, and DevSecOps developments to advise partnership investment, and share reusable findings through documentation, the handbook, reference architectures, and technical content. What You’ll Bring Experience as a Senior Solutions Architect, Partner Solutions Architect, Partner Engineer, or in a similar senior technical role. Experience with technology partners or alliances is strongly preferred. An end-to-end understanding of the software development lifecycle, continuous integration and continuous delivery (CI/CD), and DevSecOps, with the ability to use GitLab in depth. Hands-on cloud architecture experience with at least one hyperscaler: Google Cloud, Amazon Web Services (AWS), or Microsoft Azure. Cloud cost or FinOps experience is a plus. Working knowledge of AI model evaluation frameworks and agent technology, including large language model (LLM) application programming interfaces (APIs), agent frameworks, and Model Context Protocol (MCP), and how they fit into developer workflows. Experience designing and facilitating technical workshops with senior technical and business stakeholders, and building business cases that scope work, estimate gains and costs, and size resources. An autonomous, ownership-driven approach: you identify work and move it forward without waiting for a project backlog. Clear, concise written and spoken communication, adapting technical and commercial trade-offs for audiences from engineers to executives. Ability to travel about once a quarter and work hours that overlap with Europe, the Middle East, and Africa (EMEA). If you're on the US West Coast, expect to start around 7 a.m. Pacific Time; when the day ends is flexible. About the team You'll join Strategic Partnerships and report to the VP, Corporate Development and Strategic Partnerships. The team manages GitLab's relationships with hyperscalers, AI companies, and select DevSecOps companies, acting as the business owner and coordinating work across hosting contracts, product integrations, go-to-market activities, purchasing, and partner-specific marketing. Partner managers and directors lead each relationship; you'll own the technical side across partner types and collaborate with R&D, Engineering, FinOps, Finance, Sales, and Marketing. The role is remote, with Eastern Time preferred and other US time zones possible. How GitLab will support you Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental leave Home office support Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $115,200 — $194,400 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Lisbon; Portugal Workplace: Hybrid ROLE HIGHLIGHTS: - Role: Forward Deployed AI Engineer - Department: Forward Deployed Engineering - Location: Portugal (Lisbon) - Reports to: VP, Forward Deployed Engineering - Working type: Hybrid (On-site at customer locations approx. 50% of time) - Must be eligible and able to attain relevant national and NATO security clearances. - Must be based in-country and native level speaker of the country you're deploying to. THE MISSION OF THE FORWARD DEPLOYED AI ENGINEER In this role, you'll be the hands-on AI builder defense and intelligence customers rely on. You’ll deploy ICEYE’s intelligence platform into secure (often air-gapped) environments and rapidly ship AI-powered workflows on top of it—everything from Docker-based deployments to RAG systems fusing SAR imagery with intelligence reports. This is a ship-code-daily role: turning raw satellite data into mission-critical tools analysts use to protect nations. WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. DAY TO DAY RESPONSIBILITIES: PLATFORM DEPLOYMENT & INTEGRATION - Deploy ICEYE's intelligence platform into customer secure environments (on-premise, air-gapped networks, classified data centers). - Build and maintain containerized applications (Docker) and manage deployments in customer Kubernetes clusters. - Develop APIs and data pipelines connecting ICEYE systems to customer C4ISR infrastructure and intelligence tools. - Troubleshoot deployment issues in disconnected environments without external internet access. AI SOLUTION DEVELOPMENT & CUSTOMIZATION - Build Retrieval-Augmented Generation (RAG) systems that combine ICEYE SAR data with customer intelligence documents for context-aware analysis. - Develop AI agents and workflows using frameworks like LangChain, LangGraph, or similar tools to automate analytical tasks. - Implement prompt engineering strategies and conversational AI interfaces that enable analysts to query satellite data using natural language. - Create Model Context Protocol (MCP) integrations connecting AI systems with customer data sources. DATA FUSION & INTELLIGENCE WORKFLOWS - Build data fusion pipelines combining SAR imagery with additional intelligence sources (AIS, RF signals, optical imagery, SIGINT). - Develop automated workflows that correlate and cross-reference information across different data modalities. - Create lightweight tools, dashboards, and alerting systems tailored to customer operational needs. CUSTOMER ENGAGEMENT & RAPID PROTOTYPING - Work embedded with intelligence analysts, data scientists, and military operators to understand mission-critical problems. - Rapidly prototype AI-powered solutions (code first, polish later) that address immediate operational requirements. - Conduct hands-on training sessions on platform capabilities and AI workflow usage. - Gather customer feedback and translate it into technical requirements for ICEYE's product and engineering teams. WHAT WE ARE LOOKING FOR MUST HAVE SKILLS: - 3+ years hands-on software engineering building and deploying production systems. - Strong Python programming skills (required) plus one of: Go, TypeScript, or Rust. - Hands-on experience with LLMs, prompt engineering, and RAG systems. - Working knowledge of agent frameworks (LangChain, LangGraph, pydantic-ai) and vector databases. - Experience with Docker and deploying in secure / isolated / air-gapped environments. - Practical experience with APIs, data pipelines, and integrating systems in production, - Familiarity with Linux and basic Kubernetes operations. - Builder mindset: ship fast, iterate with feedback, and prioritize working solutions over perfect architecture. - Strong communication + customer engagement, able to work embedded with intelligence analysts / military operators. - Strong spoken and written English, able to explain technical concepts to non-technical stakeholders. - Willingness to travel 40–60% to customer sites within the region. NICE TO HAVE SKILLS: - Experience in defense, intelligence, or government operational environments. - Deploying to on-prem data centers and/or air-gapped networks. - Familiarity with geospatial data, satellite imagery, or remote sensing. - Experience with MCP integrations, multi-agent systems, or agentic workflows. - Deeper Kubernetes, IaC (Terraform/Ansible), and/or offline CI/CD. - Understanding of intelligence analysis workflows and defense/government requirements. - Experience with data fusion, multi-source intelligence integration, or GIS tools (ArcGIS, QGIS). - Background in solution engineering, technical consulting, or customer success. - Experience in defense tech (e.g., Palantir, Anduril, Scale AI, similar startups). APPLICATION PROCESS - Talent Acquisition Interview - Take home task - Hiring Manager Interview - Hiring Team Interview - Offer Decision WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing—at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com https://www.iceye.com

Location: Strava SF Workplace: Hybrid ABOUT STRAVA Strava is the app for active people. With over 200 million athletes in more than 185 countries, it’s more than tracking workouts—it’s where people make progress together, from new habits to new personal bests. No matter your sport or how you track it, Strava’s got you covered. Find your crew, crush your goals, and make every effort count. Start your journey https://www.strava.com/subscription with Strava today. Our mission is simple: to motivate people to live their best active lives. We believe in the power of movement to connect and drive people forward. This role is on the Strava Security Team, which exists to protect Strava’s people, business, and data through integrated, proactive security practices.   We work across all security domains, including, but not limited to, product security, vulnerability management, incident response, infrastructure, network, and enterprise security.   We follow a flexible hybrid model that generally translates to around half your time on-site in our San Francisco office – three days per week. WHAT YOU’LL DO: - Protect a platform that supports millions of athletes by ensuring Strava’s applications and infrastructure are secure, resilient, and compliant across regions. - Work closely with engineering, infrastructure, and security teams to design and implement secure architectures and development practices. - Make a high-leverage impact by shaping how Strava manages application and infrastructure risks in the US and EU, ensuring speed, accuracy, and consistency in remediation. - Build automated workflows that identify vulnerabilities early, enforce secure configurations, and strengthen our CI/CD and cloud security controls. YOU WILL BE SUCCESSFUL HERE BY: - Being highly self-motivated and detail-oriented, with a strong sense of ownership for Strava’s application, infrastructure, and network security posture. - Driving secure-by-design practices across engineering teams, including threat modeling, architecture reviews, and vulnerability management. - Embracing the usefulness of generative AI tools and applying them to your daily work. - Partnering with Engineering and Infrastructure teams to embed automated security checks into CI/CD pipelines and infrastructure-as-code deployments. - Coordinating incident response, vulnerability triage, and remediation validation in partnership with the global security team. WHAT YOU’LL BRING TO THE TEAM: - Bring hands-on experience in application and infrastructure security, including code review, threat modeling, and securing cloud-native environments (AWS preferred). - Have designed or implemented automated security controls in CI/CD pipelines using tools like GHAS, Snyk, Semgrep, Trivy, etc. - Understand how to secure containerized and distributed environments, including Kubernetes, IAM, and network segmentation. - Are comfortable managing vulnerability management programs end-to-end, from detection and prioritization through engineering remediation. - Are collaborative and pragmatic — able to influence engineering teams through partnership, technical credibility, and clear communication. For information on benefits, please click here https://docs.google.com/document/d/e/2PACX-1vTkFMPz3eCjd0FgQ28VWnK4d2BEnzGyaSFGwATR-dQdBb9HxZgay6kboqnT0-V-qaBDzSvYIzI76vT5/pub. WHY JOIN US? Movement brings us together. At Strava, we’re building the world’s largest community of active people, helping them stay motivated and achieve their goals. Our global team is passionate about making movement fun, meaningful, and accessible to everyone. Whether you’re shaping the technology, growing our community, or driving innovation, your work at Strava makes an impact. When you join Strava, you’re not just joining a company—you’re joining a movement. If you’re ready to bring your energy, ideas, and drive, let’s build something incredible together. Strava builds software that makes the best part of our athletes’ days even better. Just as we’re deeply committed to unlocking their potential, we’re dedicated to providing a world-class, inclusive workplace where our employees can grow and thrive, too. We’re backed by Sequoia Capital, TCV, Madrone Partners and Jackson Square Ventures, and we’re expanding in order to exceed the needs of our growing community of global athletes. Our culture reflects our community. We are continuously striving to hire and engage teammates from all backgrounds, experiences and perspectives because we know we are a stronger team together. Strava is an equal opportunity employer. In keeping with the values of Strava, 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. California Consumer Protection Act Applicant Notice https://docs.google.com/document/d/e/2PACX-1vSc8y6On4NlP5s12hf4kmWe_pvenVyQ78TbtVaz_clROhj9ADQ6kY4YScglBIuY2joKFKalOReX7vP_/pub

Location: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Engagement Management is a new and fast-growing practice at ClickUp, and it's quickly becoming central to how we serve our enterprise customers. Our EMs bring program leadership, service delivery and change management together in one role. As a ClickUp Senior Engagement Manager you will lead the formation and orchestration of post-sale strategy and execution for the company’s largest and most strategic clients. We're looking for someone hungry, who excels in building, and who takes genuine pride in the quality of their work. Here, Engagement Managers are the single point of accountability for outcomes. You own everything between the contract being signed and the client seeing measurable results: what was sold gets delivered, on time and on margin, and we can prove it worked. You'll lead enterprise SaaS implementations across the full engagement lifecycle, from shaping scope in pre-sales, mobilizing the team and delivery, go-live, stabilization and a clean handover to the account team. You'll run work-stream programs with Paid TAMs, AI specialists, Product and Engineering, and the client's own project team, and you'll be the trusted advisor to the client's executive sponsor.   Simply put: you are the single point of accountability for delivery, the client's partner in getting value from ClickUp, and a thought leader for how we deliver.   YOUR ROLE - Stakeholder Management - Serve as the primary client contact for delivery - Build strong relationships with stakeholders while ensuring delivery remains aligned to client objectives and contractual commitments. - Build trusted relationships with client executive sponsors and program leads at VP and C-level, acting as their primary point of contact for delivery. - Navigate complex enterprise stakeholder environments and competing priorities across client functions (IT, PMO, business sponsors, procurement) and broker alignment when they conflict. - Project Delivery Oversight - Deliver engagements against agreed scope, schedule, hours budget and quality, using rigorous change control to protect timelines and delivery margin. - Translate customer business requirements into internal deliverables and milestones - Own engagement governance, including kickoffs, weekly working sessions, sponsor check-ins and SteerCos, and provide clear, concise status reporting to clients and internal stakeholders. - Lead and coordinate multidisciplinary teams, fostering a collaborative, accountable and high-performing delivery culture while providing coaching, direction and support. - Proactively manage risks, issues and dependencies through the RAID log, and act as the primary escalation point. - Manage engagement financials, including hours burn, forecasting, utilisation and margin, flagging overrun risk early and agreeing recovery plans. - Drive AI adoption - Guide clients from manual workflows to AI-assisted and agent-driven operations, and own post-go-live adoption outcomes. - Drive Value and Business Outcomes - Identify expansion opportunities through delivery and co-sell with Account Executives, bringing the delivery credibility that secures follow-on work. - Establish a value baseline before configuration begins, track benefits through go-live, and produce the value assessment that underpins renewal and expansion. - Governance - Design and run governance mechanisms - Track delivery efficacy, timelines, value realization and customer experience - Create continuous-improvement mechanisms - Change Management & Communication - Own communications around delivery status, risks and outcomes - Manage escalation and communication across customer/internal teams - Assess change readiness and resistance across impacted teams; build sponsor and champion networks to carry the rollout. - Design the communications and enablement plan with the client, and sequence go-live to match the organization's capacity for change. - Role Development - Contribute to building the Engagement Management practice by iterating on templates, playbooks and AI workflows that make every engagement faster and more consistent.   YOUR SKILLS AND EXPERIENCE - 5+ years of software and/or services delivery experience, with at least 2 years as the accountable project, program or engagement lead. - Proven track record taking enterprise SaaS deployments from kickoff through go-live and into adoption, ideally in work management, PSA, CRM, ITSM or collaboration platforms. - Strong grasp of SaaS implementation fundamentals: workspace and data architecture, permissions and SSO, integrations, data migration, change management and enablement. No coding required, but you can challenge an unrealistic technical scope. - Comfortable with Agile, Waterfall and hybrid delivery, and knowing which one the client actually needs. - Commercial acumen: you've managed engagement budgets, SoWs, change requests and margin, and you know when to push for expansion vs when to stabilize. - Executive presence: you can run a SteerCo, deliver bad news early with a recovery plan, and hold a line on scope with a CIO in the room. - Experience leading cross-functional and distributed teams you don't directly manage, across client, partner and internal resources. - Strategic judgment to separate genuine product gaps from client process or training gaps. - Hands-on with AI: you already use AI to work faster, and you can credibly advise clients on where agents and automation fit. - Excellent written and verbal communication. Status reports people actually read.   Nice to have: Experience in work management or SaaS software, professional services firms, agencies or regulated industries. PMP Certification.   WHAT YOU'LL LOVE ABOUT WORKING HERE - Impact: Lead high-visibility enterprise engagements with global brands, and see the result in their day-to-day work. - Build something: Engagement Management is a new function. You'll help define the methodology, tooling and AI workflows that become the standard. - AI at the centre: Work on the frontier of AI-driven work management, with ClickUp Brain and Super Agents in your own delivery toolkit. - Career growth: A clear path from Engagement Manager to Senior or Principal Engagement Manager. - Community: Learn alongside Paid TAMs, AI specialists and delivery leaders across EMEA and NA. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: Remote Workplace: Remote Hi, we’re Gravie. Our mission is to create health benefits that actually benefit small and midsize businesses and their employees. Our innovative benefit solutions and services are developed and delivered by a diverse group of unique people. We encourage you to be your authentic self - we like you that way. We’re building a near real-time streaming data platform on Kafka and Flink that turns operational data from across the business into canonical, contract-validated models, serving both operational applications and agentic workloads. We seek a Senior Data Engineer to build, extend, and operate it, owning the platform in production against its latency and throughput SLOs. This is a hands-on role with meaningful ownership of a live production platform. You are self-driven, calm under production pressure, and comfortable owning streaming systems in a regulated environment. You Will: Share full-lifecycle ownership of the streaming platform - architecture, implementation, production operations. - Run the platform in production: own latency/throughput SLOs, monitoring and alerting (e.g. Datadog) - including replays, per-source backfills, connector-failure recovery, Flink checkpoint/savepoint recovery, dead-letter triage, and tuning for spiky load from batch-driven upstream sources. - Build and extend streaming pipelines that ingest CDC events from OLTP databases and SaaS sources into canonical, contract-validated form, and define standards to govern changes to them over time. - Transform and enrich in Apache Flink, including stateful processing and cross-stream joins that correlate events into unified lifecycle entities, with event-time handling for late and out-of-order data. - Enable secure, governed data access over PHI: classification and row/column controls applied as data is served to consumers, in partnership with Security and Compliance. - Make it reliable and observable: idempotent/replayable pipeline design, data-quality validation, runbooks, and observability the broader data team can rely on. - Provision as code: define the platform (streaming, processing, storage, and catalog services on AWS) in CDK with CI/CD for data pipelines, and right-size for cost against the latency SLO. - Partner across teams: work with upstream producers on source changes and contracts, with downstream consumers on access and data needs, and with stakeholders to turn requirements into what the platform delivers. - Demonstrate commitment to our core competencies of being authentic, curious, creative, empathetic and outcome oriented. You Bring: - 6+ years building and operating production data systems, including demonstrated ownership of streaming or event-driven pipelines - on-call, incident response, SLOs, runbooks, and recovery, not just development. - Deep, production experience with Apache Kafka (MSK preferred) - partitioning, consumer groups, idempotent semantics, Kafka Connect, and replay/backfill under load. - Strong, hands-on production experience with Apache Flink or a comparable stateful stream processor, in Java or another JVM language - state management, checkpointing, watermarks, and exactly-once sinks. - AWS-native data engineering across streaming, processing, storage, and catalog services (e.g. MSK, EMR, Glue, S3, Athena), with infrastructure-as-code - AWS CDK (preferred) or Terraform - CI/CD for data pipelines, and cost awareness. - Comfort debugging distributed data pipelines (consumer lag, data skew, backpressure, checkpoint failures, late/out-of-order events) with observability tooling (e.g. Datadog/CloudWatch). - SQL and Python, and experience building and consuming REST APIs. - An AI-forward engineering mindset, with demonstrated hands-on use of AI-assisted and agentic development tools, an opinion on where AI adds value (and where it doesn’t), and an understanding of agentic data consumption patterns of trusted operational data - including context management, lineage, provenance, permissions, freshness. - Change data capture and open table formats - CDC (e.g. Debezium) plus Iceberg or Delta Lake: schema evolution, partitioning, and table maintenance. - Data contracts and schema governance - schema registries and technical metastore (e.g. Glue Data Catalog, Unity Catalog), compatibility rules, Avro or Protobuf, and dead-letter handling. - Degree in Computer Science, Information Systems or another quantitative field, and comfort on the command line / a Unix-based OS (we are 100% Mac+Linux at Gravie). - Excellent communication skills and demonstrated success in driving results through influence and collaboration. Extra Credit: - Health insurance domain knowledge, including HIPAA Protected Health Information (PHI) and compliance frameworks governing it. - Familiarity with serving data to AI and agentic consumers - exposing canonical data as low-latency context or inputs for automated/agentic workloads. - Experience with a governance & data discovery catalog (e.g. Atlan, Alation, Collibra). - Previous venture-backed start-up company experience. A LITTLE MORE ABOUT US: - We know healthcare. Our company was founded and is still led by industry veterans who have started and grown several market-leading companies in the space. - We have raised money from top tier investors who share the same long-term vision as we do of building an industry defining company that will endure over the long run. We are well capitalized. - Our clients love us. Customer satisfaction rates among employees using Gravie health plans consistently rank above 80% – nearly 40 points above the industry average. - Our culture is unique. We tend to be non-hierarchical, merit-driven, opinionated but kind people who thrive working in a high-performance, fast-paced environment. People at Gravie care deeply about making a positive impact in the lives of the people we serve. BENEFITS Our unique benefits program is the gravy, i.e., the special sauce that sets our compensation package apart. In addition to standard health and wellness benefits, Gravie’s package includes alternative medicine coverage, flexible PTO, up to 16 weeks paid parental leave, paid holidays, a 401k program, transportation perks, education reimbursement, and 2 days of paid paw-ternity leave. JOB APPLICANTS If you apply for employment with Gravie, personal information collected via our applicant tracking vendor is subject to our standalone California Job Applicant Notice at Collection, accessible directly within the application workflow and separate from this Policy.

Location: Madrid About Sporty Group Sporty Group is a global sports entertainment company, home to leading brands like SportyBet , Football.com and SportyTV . We operate at the intersection of sports, content, community and technology , building products and media experiences that connect fans with the moments that matter. Our media brands, led by SportyTV , bring fans closer to the game through highlights, stories, analysis, personalities and football culture, across every major social platform. Role Overview We’re looking for a Social Media Lead to drive social strategy and coordinate the social team behind SportyTV and our sports media brands . This role combines team leadership , a sports journalism mindset and strong editorial judgement to make our channels a go-to destination for football fans. You’ll set the editorial direction, run day-to-day publishing operations, and lead a team of social media managers, community managers and content creators, making sure our output is fast, accurate, engaging and built for growth . You’ll work closely with Content, Video/Production, Design, Brand, Marketing, Partnerships, BI and Country teams , and report to the Social Media Director. Key Responsibilities Team Leadership & Coordination Lead, coordinate and develop a team of social media managers, community managers and content creators across SportyTV and our media brands. Set priorities, assign coverage and run workflows and shift planning for match days, live events and breaking news. Give clear feedback, run regular editorial meetings and raise the team’s creative and editorial standards. Build scalable processes (calendars, briefs, approval flows, playbooks) that keep the team fast and consistent. Editorial Strategy & Sports Coverage Define and execute the social and editorial strategy for SportyTV and Football.com , aligned with global brand guidelines and business priorities. Own the editorial calendar around major football and sports moments (EPL, UCL, LaLiga, AFCON, World Cup, transfer windows, etc.). Apply a journalistic approach to social: newsworthiness, storytelling, fact-checking, source verification and speed without sacrificing accuracy. Lead real-time and reactive coverage of match days, breaking news, transfers, controversies and trending moments. Content & Formats Oversee content across Instagram, TikTok, X, Facebook, YouTube (incl. Shorts), LinkedIn and Telegram. Develop and scale repeatable content series and franchises: highlights-led narratives, analysis, interviews, explainers, football culture and personality-led formats. Work with video, production and design teams to deliver platform-native content with strong hooks and retention. Ensure tone of voice, quality and brand consistency across all channels. Community & Audience Growth Drive follower growth, engagement and watch time across SportyTV and media brand channels. Oversee community management: comments, DMs, moderation, sentiment monitoring and escalation of sensitive issues. Spot local relevance opportunities across our key markets and global football audiences. Talent, Creators & Partnerships Work with presenters, journalists, pundits, creators and sports personalities to grow reach and credibility. Support partnerships, rights-holder relationships and co-branded activations with clubs, leagues and media partners. Coordinate with marketing teams on organic and paid amplification. Reporting & Performance Track KPIs: reach, views, watch time, engagement, follower growth, retention and sentiment. Deliver weekly/monthly reporting with clear insights and next actions for the team and leadership. Run testing frameworks to improve formats, hooks, timing and distribution. Requirements 5+ years of experience in social media, with at least 2 years coordinating or leading social media teams . Background in sports journalism, sports media or a sports newsroom (degree in Journalism or Communications is a plus). Proven experience running social channels for sports media brands, publishers, broadcasters, clubs or leagues . Deep football and sports knowledge, with a strong news sense and love for the game. Excellent English (C1/C2 or native) : you’ll write, edit and approve content in English and it’s our main working language. Spanish or other languages are a plus. Strong editorial judgement: accuracy, fact-checking, tone and handling sensitive stories. Excellent platform instincts across TikTok, Instagram, X, YouTube and Facebook, and a good understanding of video-first content. Confident using analytics and social listening tools to guide decisions. Strong organisation, stakeholder management and the ability to lead a team in a fast-paced, high-output environment. Nice to have Experience with live coverage of major tournaments. Experience working with audiences in Africa, Latin America or other international markets. Hands-on video editing or production experience. If you're interested, we encourage you to apply! Every application is reviewed by a member of our team (AI is not used in our recruitment process), and we aim to respond within 48 hours.

Location: US: San Mateo (1875 South Grant Street) Workplace: Hybrid The role / impact As the Workplace Lead in San Mateo, you are the Workplace Experience function for one of Xero's most strategic and visible hubs. In this senior, hands-on role, you will set the operational standard, advise the San Mateo leadership team on space design and ways of working, and ensure the office is a vibrant environment worth attending. Your impact extends beyond the local site as part of a globally distributed team transforming toward an AI-native operating model. You will actively test AI tools, automate workflows, and leverage workplace data to turn insights into recommendations, directly shaping how workplace operations evolve across Xero's global footprint. The team / how they connect You will join a lean, globally distributed Workplace Experience team that collaborates closely on systems, standards, and vendor partnerships. Locally in San Mateo, you will act as the primary operational point of contact for the leadership team while partnering with the broader People Experience team to deliver moments that foster connection and culture. Together, the team shares expertise across regional and global workstreams to build consistency and continuous improvement. The team is currently working on / Initially, you will focus on - Automating day-to-day administrative workflows and workplace operations using artificial intelligence tools and templates. - Managing key local vendor relationships across facilities management, cleaning, catering, and security to maintain service level agreements. - Analysing workplace metrics, including occupancy, utilisation rates, and vendor cost-per-head, to guide strategic investment decisions. - Managing ISO 27001 compliance and health, safety, security, and environment requirements to keep the site audit-ready. Where and how you can work This role is based in our San Mateo office. We offer a hybrid working arrangement that combines the flexibility of working from home with dedicated in-office collaboration days to build connection and community[cite: 1, 2, 7]. Here are some of the things we are looking for - A strong background in workplace or facilities management, with a track record of operating autonomously in local markets. - Proven experience in managing vendor performance, enforcing service level agreements, and conducting structured reviews. - Active experience using artificial intelligence tools and workplace technology platforms, such as visitor management, access control, and desk booking systems. - Skill in interpreting workplace data to generate actionable recommendations for leadership rather than standard reporting. - Commercial acumen with experience managing operational budgets, tracking actuals against forecasts, and building financial cases for change. - Familiarity with health, safety, security, and environment standards alongside information security compliance frameworks such as ISO 27001. Compensation & Total Rewards At Xero, we value the impact and skills you bring to the team. We don’t just hire for a role; we invest in people. We believe in a Total Package philosophy - which means your value isn't just a single number on a paycheck. While base salary is a core component, we look at your compensation through a holistic lens that includes equity, performance incentives, and world-class benefits. The expected base salary range for this role in: $108,500 – $135,600 USD. Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role. In addition to base pay, Xero’s roles are eligible for the following forms of variable compensation: - Variable Pay: Permanent employees are eligible to participate in our annual bonus and equity (RSU) programs. You may also be eligible for performance-based cash or equity (RSUs) incentives depending on your role level, and company performance. - Comprehensive Benefits: Medical, dental, vision, 401(k) match, and 21 days PTO, 10 days of Wellbeing leave, 5 days of Xtra Leave, 1 volunteer day, 12 paid holidays, paid parental leave. Further information included on our Xero Perks https://careers.xero.com/inside-xero/benefits-wellbeing/ page. Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A human recruiter reviews all candidates before any hiring action is taken. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

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. The AI Infrastructure team builds and operates the production systems that power intelligent agents at scale. This team sits at the foundation of the agent platform, ensuring that model inference, orchestration, and execution layers are reliable, observable, and performant under real-world load. Working closely with the Agent Systems team and broader infrastructure partners, this group owns the core primitives that enable agents to safely operate across internal systems. The environment is high-scale and high-stakes — systems serve millions of users and must meet strict reliability, latency, and correctness standards. This is a deeply production-oriented team. Engineers here combine strong systems thinking with applied ML infrastructure experience, building in Rust and operating services where performance and failure modes matter.   THE OPPORTUNITY - Design and build the infrastructure layer powering AI agent systems in production - Develop high-performance services that handle model inference, orchestration, and execution - Architect scalable systems capable of supporting millions of users and high request throughput - Build reliable ML infrastructure and MLOps patterns for model deployment, evaluation, and monitoring - Define guardrails, observability, and failure handling for agent-driven workflows - Optimize latency, throughput, and cost across inference and orchestration layers - Partner closely with the Agent Systems team to translate experimental prototypes into hardened production systems - Contribute to foundational infrastructure decisions in a high-scale, high-impact environment   WHAT YOU BRING - 5+ years of experience building and operating high-scale production systems - Strong Python skills and the ability to reason about systems performance and reliability - Deep understanding of distributed systems, reliability engineering, and performance optimization - Experience operating services serving millions of users or high-throughput workloads - Familiarity with ML infrastructure, model serving, or MLOps in production environments - Experience designing observability, monitoring, and failure recovery systems - Strong collaboration skills working across infrastructure and applied engineering teams - High ownership mindset in high-stakes production environment   NICE TO HAVES - Experience with Rust - Experience building infrastructure for agent-based or LLM-powered systems - Background in high-performance networking, async systems, or low-latency architectures - Experience with container orchestration and cloud-native infrastructure - Familiarity with evaluation frameworks and model performance monitoring at scale - Experience working in fast-moving 0→1 or platform-building teams Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Hong Kong Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. Kraken and Payward VIP team supports the firm’s highest-value private clients: high-net-worth individuals who expect a premium, secure, and deeply tailored experience. We ensure Kraken remains the exchange of choice for VIPs through white-glove relationship management, personalized trading enablement, and high-impact benefits. We are looking for a Head of VIP, Asia to lead and grow Payward VIP presence across the region. This is a player-coach role: you will build and lead a small, high-performing team while personally owning strategic client relationships, originating new business, and shaping the regional growth playbook. You will set the standard for how Kraken serves, retains, and grows its most valuable private clients in Asia. You will be equally comfortable in a senior client meeting, building an introducer network, coaching a relationship manager, hosting a VIP event, and partnering internally to remove the product or operational barriers that cost us high-value business. Payward VIP program is unique, and we intend to keep it that way. We don’t copy what other exchanges and desks do. You’ll take what makes our program different and adapt it to how Asia’s VIP clients actually trade, network, and build trust. That means testing new ideas, learning fast, dropping what doesn’t work, and scaling what does. If you’re bold, comfortable with ambiguity, and humble enough to fail fast and move on, this is your seat.     THE OPPORTUNITY - Lead, coach, and develop VIP relationship managers in Asia; establish clear standards for client coverage, pipeline management, service quality, and commercial performance. - Build the operating model for VIP growth across Asia, including territory coverage, account segmentation, referral strategy, events, and performance reporting. - Own regional AOP growth, net deposits, client assets, trading volume, retention, and revenue performance. - Build a repeatable pipeline of qualified high-value clients through direct outreach, referrals, introducers, family offices, proprietary trading firms, OTC desks, miners, project treasuries, and high-volume traders. - Represent the voice of Asia’s VIP client base internally: identify competitive threats, regional market dynamics, product gaps, and opportunities that influence where private-client capital trades. PERSONALLY OWN STRATEGIC CLIENT RELATIONSHIPS - Own and grow Kraken's most strategically important private client relationships across Asia, bringing our full VIP offering - ranging from trading and asset management to other services - to market locally, within Kraken's compliance and risk framework. - Serve as the senior relationship owner for Kraken’s largest and most strategically important private clients across Asia. - Bring Kraken’s VIP and private-client offering to market locally, including spot, margin, futures, OTC execution, earn and yield opportunities, lending, and tailored benefits. - Build trusted, durable relationships while ensuring every client interaction and commercial initiative operates within Kraken’s licensing, compliance, and risk framework. BUILD REGIONAL PRESENCE AND PARTNERSHIPS - Develop Kraken’s presence in Asia’s VIP trading and investor communities, including private trading groups, investor clubs, KOL and trader networks, and closed-door investor circles. - Design and lead high-quality regional programming, including VIP dinners, trader meetups, conference-adjacent events, and partner activations, in collaboration with Marketing and Regional teams. - Build and manage introducer and referral partnerships that create a durable source of qualified VIP opportunities. - Partner with Product, Marketing, Compliance, Banking, Client Service, and Operations to launch regional growth initiatives and improve the client experience.     WHAT YOU BRING - 7+ years of experience in VIP relationship management, private banking, brokerage, private-client sales, account management, or business development, including meaningful experience in crypto or digital assets. - Demonstrated people leadership experience, with the judgment and practical coaching ability to lead a small team while remaining hands-on with strategic clients and revenue opportunities. - A strong personal network among Asia’s crypto HNWIs, traders, family offices, OTC desks, funds, or trading communities. Experience across Greater China, Hong Kong, Taiwan, or Singapore is especially valuable. - A proven record of personally originating and converting new business, not solely servicing an existing client book. - Deep knowledge of crypto market structure and trading solutions, including spot, margin, futures, OTC, lending, tokenized equities, and yield/earn products. - Strong commercial judgment and comfort managing KPIs including assets on platform, net deposits, revenue, trading volume, retention, pipeline conversion, and client portfolio growth. - Native or near-native Mandarin and fluent English. - Comfort operating across multiple regulated Asian jurisdictions, with sound judgment on when to engage Compliance and Risk partners early. - Willingness to travel up to 30% across the region for strategic client meetings, events, and conferences.           Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Worldwide APPLICATION INSTRUCTIONS: If you’ve already completed the 20four7VA Recruiting Process—including the Final Interview—or have previously been contracted by a 20four7VA Client, please make sure to apply via the 20four7VA Team Portal for faster processing. Use any valid email address to log in. If you’ve just logged in to the Team Portal, please proceed to review the Independent Contractor Opportunity outlined below. 💡 Quick Tip: Upload your resume first—this will automatically populate most of the fields in the application form. Let the magic happen! If you're interested in this opportunity, click APPLY TO POSITION to proceed. ******************************************************************** Title: Independent Contractor – CPT-11370 Customer Service & Operations Coordinator/Business Support VA/Junior-Advanced Level (Remote). Overview 20four7VA is seeking offshore independent contractors to deliver remote services to clients worldwide, with a primary focus on developed markets such as the United States, the United Kingdom, Canada, and Australia. An established electrical contractor serving residential and commercial customers in Ottawa, Canada is seeking a full-time Customer Service & Operations Coordinator to provide front-office customer service and back-office administrative support. The VA will provide consistent phone coverage throughout the business day, receive and process new leads, gather customer information, coordinate sales appointments and site visits, and follow up with customers throughout the service process. The role will also support repeatable operational workflows such as permit applications and final inspection coordination. The client is primarily seeking a candidate with strong customer service and administrative/office support experience. Previous construction or home services experience is a plus but is not required, as the client is prepared to train the VA on its electrical-specific processes and terminology. The objective of each engagement is to assist the client in improving business efficiency, enhancing service delivery, or supporting operational functions through high-quality, task-specific services rendered by a qualified contractor. Scope of Services Contractors will be required to provide services that align with the following client tasks: Customer Service & Lead Management Answer inbound customer calls throughout the scheduled shift Receive and process new leads from phone, email, and online submissions Gather initial customer and project information Follow up with customers to collect additional information when required Maintain accurate customer and lead records Provide professional and responsive customer service Escalate technical electrical questions to the appropriate internal team member Record the customer's property address, specific service needs, and requested urgency. Prioritize and escalate urgent leads to the appropriate team member. Scheduling & Sales Coordination Coordinate sales calls, site visits, and assessments Schedule appointments based on sales team and customer availability Follow up with new leads and prospective customers Support outbound calling and appointment setting as the role develops Maintain organized follow-up activities within company systems Coordinate customer, sales team, and inspector availability to minimize scheduling conflicts. Offer specific callback times when following up with leads. Follow up according to the company's established lead-contact schedule. Post-Service Customer Care Follow up with customers after completed work Thank customers for their business and confirm satisfaction Request customer reviews using approved processes Track outstanding post-service follow-ups Escalate customer concerns when necessary Permits & Inspection Coordination Prepare and submit repeatable electrical permit applications following established procedures Maintain accurate permit records and status information Coordinate final inspections between customers and inspectors Follow up on outstanding permit or inspection requirements Maintain organized documentation for completed projects Verify that required signatures, documents, and approvals are complete before advancing permit-related processes. Administrative Support Perform general data entry and back-office administrative tasks Maintain accurate information within Simpro and other company systems Assist with email and documentation management Support recurring operational workflows Complete additional administrative projects as assigned Review and suggest improvements to existing workflows to simplify processes and improve documentation. Each engagement is based on a defined scope of work and is governed by an independent contractor agreement. Services must be performed professionally, with adherence to any timelines, guidelines, and deliverables agreed upon in writing. Skills The Contractor must demonstrate proficiency in the following, depending on the Client’s requirements: Previous customer service experience required Administrative or back-office support experience required Experience answering business phone lines and communicating directly with customers required Scheduling or appointment coordination experience preferred CRM or field service management software experience preferred Construction, electrical contracting, home services, or project coordination experience is a plus but not required Strong written and verbal English communication required Native or near-native English speaking ability required IDEAL CANDIDATE PROFILE Excellent customer service and phone communication skills Professional, friendly, and confident speaking with customers Highly organized with strong follow-through Comfortable balancing phone coverage with administrative work Proactive and able to work independently Detail-oriented when handling customer and permit information Comfortable learning technical terminology and repeatable construction processes Able to transition between customer-facing and back-office responsibilities throughout the day APPLICATION SOFTWARE KNOWLEDGEABLE / REQUIRED Simpro (training provided) Pipedrive (training provided) Quo VoIP (training provided) Microsoft Outlook Microsoft 365 Slack CRM / Field Service Management Platforms Work Schedule Contracted Hours per Week: 40 Hours Scheduled Working Days: Monday through Friday (unless otherwise mutually agreed in writing) Daily Working Time: 8:00 AM – 4:00 PM EST Note: The Company will make reasonable efforts to align the Assigned VA’s schedule with the Client’s preferred hours as set forth above. However, availability may vary based on time zones, capacity, and the contracted hours set in this SOW. Any changes must be mutually agreed to in writing through a revised SOW. Terms of Engagement Contractors will operate under a Master Services Agreement and a Statement of Work This is not an offer of employment; contractors are not employees of 20four7VA or any client All compensation is processed through 20four7VA according to the terms of the engagement Role Summary & Requirements REQUIRED SERVICE: Business Support REQUESTED EXPERIENCE TIER LEVEL: Junior, Senior, and Advanced Level Contracted Hours per Week: 40 hours/week Daily Working Time: 8:00 AM – 4:00 PM EST Scheduled Working Days: Monday-Friday REPORTING TO/POC: To Be Determined Number of VAs: 1 GENDER PREFERENCE: None LANGUAGES SPOKEN/PREFERENCE: English ACCENT PREFERENCE:  Level A-B (Native or Near-Native English-Speaking Accent Required) REGION PREFERENCES: Any What we offer Competitive rates Weekly payments Various open roles are available Free training and upskilling Constant support and guidance A vibrant community always ready to support you And more!

Location: New York Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. ABOUT THE ROLE: We’re looking for a Head of IT to build and own the systems that enable everyone at Modal to work effectively and securely. You’ll own our employee technology environment end-to-end, including identity and access, devices, internal systems, SaaS applications, and day-to-day IT operations. You’ll work closely with Security and Engineering to build an environment that is secure by default, easy to operate, and scales with the company. This is initially a hands-on role. You’ll build systems, automate workflows, and solve problems directly. As Modal grows, you’ll define how the IT function should scale and eventually build a team around it. WHAT YOU’LL WORK ON: Identity & Access - Own employee identity and access across internal systems and SaaS applications - Build scalable onboarding, offboarding, and access lifecycle workflows - Improve SSO, MFA, least privilege, and access management in partnership with Security Devices & Endpoints - Own the lifecycle and security of employee devices - Build and maintain device management, configuration, patching, and endpoint security - Automate provisioning and make onboarding as close to zero-touch as possible Internal Systems & Automation - Own and improve the SaaS applications and internal systems we depend on - Build integrations and automate workflows across identity, HR, finance, and other business systems - Evaluate and deploy new internal capabilities, including AI tools and integrations - Use APIs, scripting, and internal tooling to solve problems that don’t fit neatly into off-the-shelf products IT Operations - Own employee support, hardware, asset management, procurement, and relevant vendor relationships - Build reliable, maintainable processes rather than scale through manual work - Identify recurring problems and solve them at the system level Build the IT Function - Define the technical direction and operating model for IT at Modal - Establish the systems and processes we’ll need as the company grows - Determine when and where additional IT capacity is needed, and build the team over time YOU MAY BE A FIT IF: - You’ve owned IT or corporate technology in a fast-growing technology company - You have a strong understanding of identity, device management, SaaS administration, and endpoint security - You have strong technical skills and are comfortable working with APIs, scripting, automation, and system integrations - You’ve designed and automated employee lifecycle and access-management workflows - You have good security judgment and experience working closely with Security and Engineering - You can independently identify problems, make pragmatic technical decisions, and drive them through implementation - You’re comfortable being hands-on today while building the systems and team needed as the company grows