Вакансии

Location: Lecce, Italy Are you a health professional thinking about a career change? Are you passionate about how technology can help progress your profession? If you have an allied health background or previous experience as a Physical Therapist, a role as a Business Development Manager at VALD could be the change you need! About VALD VALD is the world leader in technology for the allied health industry, providing innovative human-measurement technology over 10,000 clients in over 100 countries. If you have a favorite team in the NBA, EPL, or NFL, there's a good chance they use VALD Technologies Since its humble beginnings in 2015 in Brisbane, Australia, VALD has grown to a team of over 300 team members in over 30 countries, with 5 offices across four continents. Driven by a multidisciplinary team of researchers, clinicians, sports scientists, designers, developers and engineers, VALD's suite of systems offer unparalleled insight into human movement, performance, injury risk and rehabilitation. About the VALD Business Development Team The Business Development team are on the front line for VALD. As part of a truly global team, you will attend conferences and perform product demonstrations (both in-person and teleconferences) in clinical, performance, and tactical settings. You'll set up and oversee product trials, nurture new leads and look for new opportunities for VALD. With an education-based approach to sales, as a Business Development Manager, you must have an intimate knowledge of VALD's systems. You'll leverage your industry expertise and product knowledge to demonstrate how our clients can get the most out of our systems to provide value to their business. Is this you? Prior experience working in a clinical or allied health setting, such as a physiotherapist/physical therapist or similar role. Excellent communication and interpersonal skills via various mediums, including team calls, in-person interaction and sales pipeline reporting. Be comfortable with targeting new clients. Willing and able to travel for client meetings and represent VALD at industry conferences and events. Confidence to persuasively demonstrate VALD systems and communicate product and industry knowledge to clients. A self-starter who holds themselves accountable for reaching sales targets. A desire to work with and nurture existing distributor relationships. Prior experience using CRMs and the Microsoft Office 365 suite of products. You reside in Lecce or surrounding. It’s not expected that any single candidate would check every box here. If you meet just some of the requirements, but not all, we encourage you to submit your application! We strongly encourage you to apply if you’re at all interested. Show us how your experience could improve our team and widen our perspective. Our selection process includes assessing the requirements of the role vs the individual, and how well we think they will work in the VALD team. Why VALD? An opportunity to travel the world utilizing your health and performance experience is just the beginning when you join VALD.  Recently named in LinkedIn's Top 25 Startups for 2022 in Australia, VALD's best asset is not our technology but our people and culture. We have a range of benefits we offer to our team, such as: Industry-leading compensation with healthy performance-based incentives. The opportunity to work in a company that is redefining allied healthcare. Learn from a range of high-performing individuals and teams across various disciplines. Be part of a down-to-earth, inclusive and vibrant team. Regular travel opportunities to get the entire VALD team together for your ongoing development. The latest equipment and remote setup to perform at your best. Monthly fitness and wellness allowance. VALD Diversity & Inclusion Commitment VALD’s best asset is not our technology but our people and culture. A culture of inclusion and diversity is critical to our business. We know diverse teams perform better. It's not a separate initiative – we aim to embed inclusion and diversity in everything we do. We are committed to fostering an inclusive work environment and embracing diversity, including gender, nationality, disability, age, marital/parental status, ethnicity, gender identity, socioeconomic background and sexual orientation. We welcome applications from people from all backgrounds. Background Check Successful applicants will be subject to background checks (including identity and criminal record checks).

Location: Austria Are you a health or performance professional thinking about a career change? Are you passionate about how technology can help progress your profession? If you have experience working in a clinical or high-performance setting and are a physiotherapist or an athletic trainer a role as a Client Success Manager at VALD could be the change you need! About the VALD Client Success Team Our Client Success team is dedicated to assisting clients in implementing and embedding VALD technology. It all starts with seamless onboarding for new clients, which ensures they have all the tools they need to start using VALD products successfully. The Client Success team continues to support the client throughout their journey with VALD. We are looking for someone to join our team in Austria. What you will do As a Client Success Manager at VALD, you will work directly with an assigned portfolio of clients as the VALD subject matter expert and strive for the highest level of client satisfaction in the delivery of services. On a day-to-day basis, you will: Manage client onboarding, ensuring clients are fully supported to implement VALD systems successfully. Build strong relationships with clients through online methods and occasionally face-to-face. Identify client support needs and opportunities for growth. Online client presentations using Microsoft Teams. Regular activity tracking and reporting, using SaaS applications – HubSpot, Microsoft Suite, Email. Manage multiple assignments and support requests simultaneously while working independently or with other team members. Critical requirements for this role: You must have used VALD Technology extensively in your current or previous role. Have the ability to understand and share the client’s perspective and challenges. Excellent grammar, spelling, and proofreading skills. Demonstrated ability to build positive relationships quickly. The ability to think outside of the box to find appropriate solutions. Adaptable and willing to learn new skills and processes. Become an expert on VALD systems. Have the ability to travel for work. Is this you? We are looking for a physiotherapist, exercise physiologist or sports scientist looking to make a change or, quite simply, a go-getter who is excellent with people—someone with a can-do attitude and who is interested in technology and helping clients implement systems and solutions. You will be a self-starter who is comfortable supporting and educating our amazing clients. You’ll need great organizational and communication skills, as you'll work with many internal and external stakeholders. Ideally, you have: Empathy Excellent communication skills – both verbal and written. Demonstrated ability to build positive relationships quickly. Attention to detail and a commitment to quality control. Strong critical thinking, analytical, and strategic problem-solving skills. Adaptable and willing to learn new skills and processes. Highly organized with practical time management skills. Prior experience using VALD systems. It’s not expected that any single candidate would check every box here. Research shows that while men and women share similarities in how they look for jobs, women may hold back if they don’t meet 100% of the criteria, while men usually apply after completing about 60%. If you meet just some of the requirements but not all, we encourage you to submit your application! We strongly encourage you to apply if you’re at all interested. Show us how your experience could improve our team and widen our perspective. Our selection process includes assessing the requirements of the role vs the individual and how well we think they will work in the VALD team. Why VALD? VALD is the world leader in technology for the allied health industry, providing innovative human-measurement technology to over 10,000 clients in over 150 countries. If you have a favorite team in the NBA, EPL, or NFL, there's a good chance they use VALD Technologies. Since its humble beginnings in 2015 in Brisbane, Australia, VALD has grown to a team of over 300 team members in over 35 countries, with 5 offices across four continents. Driven by a multidisciplinary team of researchers, clinicians, sports scientists, designers, developers and engineers, VALD's suite of systems offer unparalleled insight into human movement, performance, injury risk and rehabilitation. The opportunity to work in a company that is redefining allied healthcare. Learn from a range of high-performing individuals and teams across various disciplines. Be part of a down-to-earth, inclusive and vibrant team. Regular travel opportunities to get the entire VALD team together for your ongoing development. The latest equipment and remote setup to perform at your best. Diversity & Inclusion Commitment VALD’s best asset is not our technology but our people and culture. A culture of inclusion and diversity is critical to our business. We know diverse teams perform better. It's not a separate initiative – we aim to embed inclusion and diversity in everything we do. We are committed to fostering an inclusive work environment and embracing diversity, including gender, nationality, disability, age, marital/parental status, ethnicity, gender identity, socioeconomic background, and sexual orientation. We welcome applications from people from all backgrounds. Successful applicants will be subject to background checks (including identity and criminal record checks). It will be a condition of employment that the background checks return acceptable results.

Location: San Francisco; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Baseten's engineers want to work in an AI-first way. What's missing isn't enthusiasm — it's the platform underneath it. Today everyone assembles their own agent config, context files, and MCP servers, so the good patterns stay trapped in individual setups instead of becoming defaults everyone inherits. You'll build that platform: the agent configurations tuned to our monorepo, the context and tooling layer that makes agents competent in our codebase, the evals that tell us which approaches actually work, and the rollout mechanics that get a new engineer productive with agents in week one. You are not here to mandate how engineers use AI — you're here to make the good path the easy path. Success looks like teams adopting what you build because it beats what they'd cobble together themselves, not because a policy requires it. Platform engineer, not AI evangelist. Ship infrastructure, measure it, kill what doesn't work, let adoption be the referee. The playbook for AI-first SDLC doesn't exist at any company yet. You'll write ours. EXAMPLE INITIATIVES Agent substrate — Repo-level context infrastructure that makes agents competent in our codebase (CLAUDE.md/AGENTS.md http://CLAUDE.md/AGENTS.md conventions, architecture and domain context, and the tooling to keep it accurate as code moves). Internal MCP servers giving agents scoped access to CI, observability, incident tooling, deployment state, and docs. Shared skills, subagents, and hooks that encode Baseten workflows. Sandboxed environments where agents can build and test safely. The golden path — Project templates and onboarding that ship with AI tooling configured and working. Self-serve infrastructure so teams build their own agents without you as the bottleneck. Gateway, auth, cost controls, and audit logging for internal model access. The feedback loop — Eval harnesses that answer "is this config better than that one" against real Baseten tasks, not vibes. Instrumentation of AI tool usage and its downstream effects on cycle time, review latency, and change failure rate. Honest reporting, including on what you built that didn't pan out. Agents in the SDLC — Automation where agents earn their keep: PR review triage, test gap-filling, incident context assembly, migrations and refactors, codebase Q&A. Integrating agents into CI/CD with guardrails that make it trustworthy. RESPONSIBILITIES - Own the internal AI developer platform end to end — architecture, build, rollout, operation, measurement. - Evaluate and integrate third-party AI coding tools (Claude Code, Cursor, Codex, and whatever ships next quarter), and build the context layer that makes them work against our monorepo. - Build frameworks that let other engineers create their own agents without deep LLM expertise. - Establish the evaluation practice for AI-assisted development at Baseten, and use it to drive investment decisions. - Drive adoption through developer experience — good defaults, clear docs, low friction — not mandate. - Embed with teams to find where AI genuinely unblocks them, then generalize those wins into platform capabilities. - Own the safety layer: permissions, secrets handling, audit trails, cost management. REQUIREMENTS - Have 4+ years of relevant industry experience building and enabling AI native SDLC - Strong proficiency in Python and/or Go, building tools other engineers depend on daily. - Hands-on experience with LLMs and agent frameworks — tool calling, MCP, context management, orchestration, failure handling. You've shipped something agentic that real people used, not just prototyped. - Deep personal fluency with AI coding tools and well-formed opinions about where they break down. - Platform mindset: you build for adoption and self-service, treat internal engineers as customers, and would rather ship a good default than write a style guide. - Developer tooling, CI/CD, and Kubernetes/Docker fundamentals. - Comfort with ambiguity — this space invalidates its own best practices every few months. - Excellent written communication. Much of your leverage is docs, templates, and examples that scale beyond conversations you're in. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: San Francisco; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Baseten is seeking talented and experienced Software Engineers to join our Platform team within the Infrastructure organization. As a member of Baseten's Platform Team, you will own the systems that let every engineer at Baseten prove their code works before it reaches production. Our product runs mission-critical AI inference for customers who measure downtime in dollars per second, which means our internal bar for correctness, performance, and failure tolerance has to be exceptional. Your focus is the full testing stack: fast and reliable unit test tooling, integration harnesses that spin up realistic environments on demand, load and performance testing for GPU-backed inference workloads, and resilience testing that deliberately breaks things so our customers never have to find out what happens when a node dies mid-request. This is a builder role with org-wide leverage. You won't be writing tests for other teams — you'll be building the frameworks, harnesses, and feedback loops that make writing good tests the path of least resistance, and you'll set the standards for what "well-tested" means at Baseten. RESPONSIBILITIES - Own Baseten's testing strategy end to end — define the standards, the tiers, and the tooling that engineering teams build against. - Build and maintain unit, integration, load and performance testing frameworks - Design end to end test infrastructure that provisions realistic dependencies on demand — ephemeral Kubernetes namespaces, containerized service dependencies, etc. - Build resilience and chaos testing capabilities: fault injection, network partition and latency simulation, pod and node failure scenarios, dependency degradation, and automated verification that our systems degrade gracefully and recover. - Attack test suite reliability head-on — flake detection and quarantine, test impact analysis and selective execution, parallelization, and aggressive reduction of end-to-end CI wall time. - Build observability into the testing layer itself: coverage reporting, test health dashboards, failure triage tooling, and clear signals about which areas of the codebase are under-tested. - Create project templates and shared libraries so new services start with a complete testing setup on day one. - Partner directly with product and infrastructure teams — embed where needed, understand their hardest testing problems, and turn one-off solutions into platform capabilities. - Mentor engineers across the org on testing practice and raise the collective bar through code review, documentation, and internal advocacy. REQUIREMENTS - Strong proficiency in Go and/or Python, with hands-on experience building test tooling and libraries used by other engineers. - Deep experience with testing frameworks and their internals — pytest, Go's testing package, testify, testcontainers, or equivalents — including the ability to extend them, not just use them. - Experience designing integration test infrastructure for distributed systems, including ephemeral environment provisioning and dependency management. - Practical experience with load and performance testing tools (k6, Locust, Vegeta, JMeter, Gatling, or similar) and the judgment to interpret results and drive action from them. - Solid Kubernetes and Docker fundamentals — you can build test infrastructure that runs on and tests against real cluster environments. - Advanced understanding of CI/CD, including how to keep large test suites fast, deterministic, and trustworthy at scale. - A track record of measurably improving testing culture on an engineering team — you have opinions on what to test, what not to test, and where the ROI actually is. - Are excited about building foundational infrastructure and are comfortable working independently on ambiguous, high-impact technical challenges BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Remote (USA) Workplace: remote Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs.   We’re a team of fiercely driven individuals committed to making healthcare more sustainable—and we’re looking for passionate people to help us get there.   For more information, visit arcadia.io. Why This Role Is Important to Arcadia Teams across Arcadia already put agents to work enabling clients' clinical, analytics, and operations teams. We use them heavily for our own work, too. Much of the platform foundation is in place. Now it has to handle longer-running workflows, client-facing agents, and PHI at scale. You'll join the team that owns the platform underneath these agent workflows. This isn't a solo mandate. Your influence comes from what you ship and what other teams build on top of it. How We Build Engineers at Arcadia own outcomes end to end: the problem, the design, the code, the rollout, and the result in production. We build alongside AI without handing it our judgment; our automation is governed and transparent, built to strengthen human expertise, not replace it. We have few layers, high agency, deep ownership. We adopt new tools and practices quickly, which lets us move faster than many startups while keeping the discipline a regulated environment demands. Our agent platform sits on top of governed access to AWS-based petabyte-scale lakehouse data with open table formats, distributed Spark processing, and Kubernetes services. The current implementation has an OSS agent harness and a gateway/router across model providers, all built on a third-party agent framework. What Success Looks Like Arcadia product teams should be able to spin up an agent quickly, ship it with confidence, and evolve it over time safely and cost-effectively. The platform provides the building blocks: persistence, workflows, memory, and identity-aware, compliant connectivity to tools. The platform also takes care of the quality attributes: caching, compaction, evals, guardrails, observability, resiliency, and safe handling of PHI. Teams adopt it because it's the fastest safe path, not because they're told to. You treat it as a product and can show the impact in numbers. Next: customers bring their own agents to Arcadia, and eventually assemble them from our building blocks. What You'll Be Doing Evolve and run our agent platform for both internal and client-facing use cases: the runtime, SDKs, templates, and paved paths that let teams ship agents on Arcadia's data. You write a meaningful share of the code. Stand up and harden the infrastructure underneath it: IaC, network topology, security controls, and the operational tooling that keeps it running, in close partnership with SRE. Make quality attributes platform defaults, not per-team projects: evaluation harnesses and regression gates, guardrails and policy enforcement, tracing and telemetry, and resiliency patterns for model, tool, and data failures, plus the inevitable provider churn. Design for a regulated industry: PHI isolation, least-privilege identity for agents, audit trails, and human review. Run the platform as an internal product: work with the teams building on it every week, and measure adoption and developer experience. Partner with domain teams on their hardest agent use cases, and turn what you learn into platform capability. Own it in production: SLOs, on-call, incident response, and postmortems. Set the technical bar for how engineers build with AI at Arcadia, and coach Senior Engineers through design partnership and review. Their trajectory is part of your impact. What You'll Bring Platforms you've built and run that other engineering teams adopted, from ambiguous beginnings through years of operation, with results you can show. Deep foundations in cloud-native distributed systems, data infrastructure, and service architecture. You reason from first principles. Hands-on infrastructure depth: IaC, cloud, security architecture, and running production systems. You can go deep with SRE, not just hand work off to them. Current, hands-on production coding, and the desire to keep doing it. Passion for developer experience (DevEx/DevProd) as a discipline. Writing clear enough to set standards beyond your own work, and influence that comes from credibility, not title. No healthcare background required. We hire builders from fintech, infrastructure, and consumer scale, and teach the domain. Would Love for You to Have Scars from production LLM/agent deployments beyond glossy demos (but we won't ask for 20 years of LLM experience). Pragmatism about the LLM ecosystem: excited by it, not distracted by it. Regulated-data experience (HIPAA, PHI, SOC 2 or HITRUST environments). A public voice through talks, writing, or open source. What You'll Get The opportunity to own one of Arcadia's most consequential platform domains and to set its direction for years. Direct influence on how Arcadia's engineering org adopts AI; your tooling, patterns, and standards become examples others build on. Remote-first across the US, with in-person hubs growing in Boston, DC, and NYC. A flexible culture with personality and heart, named a Built In 2026 Best Place to Work. Work that shows up in patients' lives. About Arcadia Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website. Protect Yourself If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website. This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties.  For any security-specific roles, the responsibilities would be further defined by the hiring manager.

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 We're looking for a Capabilities Researcher to join the team building Claude Security. In this role, you'll identify which security capabilities in frontier models are ready to build on, measure how well they perform, and work out how to make them useful to customers who are not security experts. Frontier models have become substantially more capable at security work over recent generations, and they continue to improve with each release. That progress creates a set of practical questions: which capabilities are reliable enough to depend on, how they perform in realistic conditions, how they behave when an adversary is involved, and where their limits are. You'll be responsible for answering those questions through fast prototyping and rigorous evaluation, and your findings will shape what the team decides to build. You'll also work on making those capabilities usable. Together with engineers on the team, you'll design the scaffolding, tooling, and defaults that let a strong model capability do useful work for a non-expert, and you'll stay involved as it becomes a product. This is a research role on a product team, with a broad charge and real latitude in what you investigate. It suits someone who already has ideas about what AI should be able to do for security teams and wants the models, the time, and the engineering support to pursue them. Responsibilities Prototype rapidly to find define the AI frontier for cybersecurity work Design evaluations that measure model performance on the work security teams actually do Build the datasets, harnesses, and scoring those evaluations depend on Engage with the cybersecurity community to help define where AI can make the most impact Work with engineers and researchers to operationalize promising capabilities into something customers can rely on Track how model capabilities for security are changing, and what that means for what we build next Share findings that inform product direction, and partner with product leadership on priorities You may be a good fit if you: Have deep expertise in one or more security domains, such as vulnerability research, exploit development, reverse engineering, malware analysis, incident response, or offensive security Have built AI-powered tools or capabilities for security work Can get from an idea to a working prototype quickly, and abandon the ones that don't hold up Are comfortable designing rigorous evaluations and interpreting the results honestly Can write and communicate clearly about technical findings Have 7+ years of experience in security research, security engineering, or a closely related field Strong candidates may also have: Published research, CTF results, CVEs, or open source security tooling Experience with model evaluation, benchmarking, or red teaming Experience building agentic applications Familiarity with the safety considerations of AI in security contexts Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 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. 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 Jose, California, United States Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity Our Card and Payment engineering team builds reliable, intuitive experiences at the intersection of cards, payments, crypto, and global financial infrastructure. We partner closely with product, design, backend, risk, compliance, and business teams to make card and payment products accessible to users around the world. As a Senior Mobile Engineer on the Card and Payment team, your primary responsibility will be to own and improve the global card issuance process. You will work mainly with product and engineering partners in the US, while meeting regularly with teams in Asia to understand requirements and align delivery. We are looking for someone who is highly self-driven, takes real ownership, collaborates well, and is eager to learn the card issuing and payment businesses in depth. What You’ll Be Doing Own the end-to-end global card issuance process—from eligibility and application through card creation, activation, provisioning, and lifecycle servicing—and improve the experience as OKX expands into new markets. Learn the card issuing and payment domains deeply, and translate business, user, payment, and regulatory requirements into sound architecture, clear trade-offs, and executable delivery plans. Own features from discovery through production, with a strong focus on security, reliability, observability, maintainability, documentation, and test coverage. Drive ambiguous, cross-functional initiatives to completion with a high degree of ownership, self-direction, and sound judgment. Collaborate primarily with product and engineering teams in the US, while joining regular discussions with Asia teams to discover, clarify, and align requirements. Build with Swift, Kotlin, or Rust depending on the problem, and actively learn and adopt new languages, platforms, and tools rather than being limited to a single technology stack. Use AI coding tools throughout the development lifecycle—from exploration and implementation to testing, review, and documentation—while maintaining strong engineering judgment and accountability. Build and maintain reusable AI workflows, engineering harnesses, and technical knowledge bases that improve the entire team’s speed and quality. Review code, share context openly, mentor teammates, and make decisions that improve both engineering quality and overall team outcomes. Contribute to hiring, onboarding, and the continuous improvement of team practices. What We Look For In You B.S. or M.S. in Computer Science, or equivalent practical experience. Proven experience shipping and operating production-quality mobile applications, with deep expertise in iOS or Android. Strong proficiency in at least one of Swift, Kotlin, or Rust, with a demonstrated willingness to learn and contribute in unfamiliar languages and technology stacks. Exceptional ownership and self-direction, with the judgment to make pragmatic decisions and drive ambiguous work to completion. Demonstrated, regular use of AI coding tools with measurable impact on delivery speed, code quality, or engineering effectiveness. A team-first mindset: you communicate openly, share knowledge, support peers, and align technical decisions around the best outcome for the team and product. Genuine curiosity about card issuing and payment businesses, plus the ability to communicate technical decisions clearly with partners across the US and Asia. Professional proficiency in English and Mandarin Chinese is required. Nice to Haves Hands-on experience with global card issuance flows, card processing, payments, fintech, crypto, or other high-trust financial products. Experience launching products across multiple countries or regulatory environments. Knowledge of mobile security, payment authentication, risk controls, or transaction lifecycle design. Experience improving mobile architecture, shared components, developer tooling, or engineering productivity at team scale. Experience mentoring engineers or leading cross-functional technical initiatives. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $178,888 to $268,333. The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

About our Machine Learning Business Banking team: Our mission in Business Banking is to simplify banking for small businesses; making business banking fairer, simpler and more transparent. Monzo Business Banking is fast-growing, is the UK’s most recommended business account for overall service quality. We recently hit 1 million customers and are used by 1 in 6 UK SMEs. We want to help businesses spend less time on financial admin and more time focused on running and growing their business. We’re building intelligent, data-driven and AI/ML-enabled product experiences that help small businesses feel more in control, make better decisions, and get more value from Monzo. ML is at the core of how we build and scale our products, enabling Monzo to make better decisions, faster, and helping us serve businesses more effectively. As a Lead Machine Learning Scientist in Business Banking, you’ll help build and ship models that power the next generation of Business Banking experiences. You’ll work closely with Product, Engineering, Design, Research, Data Science and Analytics Engineering to bring ML-enabled product capability into the heart of how we build for businesses. Whether it’s helping businesses understand their cash flow, reducing manual admin, surfacing the right insight at the right moment, or helping teams build intelligent product experiences responsibly, our work makes business banking smarter, simpler and more useful for SMEs. What you'll be working on As a Lead Machine Learning Scientist, you’ll be a technical leader and hands-on individual contributor, spearheading our ML and GenAI capabilities and shipping key models that powers magical Business Banking experiences. You’ll: — Be one of the first ML Scientists in Business Banking, bringing leadership through ambiguity by adding structure and direction to our ML capabilities while staying agile and building momentum. — Develop and deploy advanced ML models on our cloud-native data platform to serve hundreds of thousands of business customers. — Partner with Product, data science and other stakeholders to identify the highest-impact opportunities, size impact, and define success metrics. — Decide when to use ML, GenAI, or simpler approaches and be clear on trade-offs. — Design robust evaluation and monitoring so we can ship responsibly and measure impact in production. — Lead the design and implementation of batch and near-real-time models (e.g. LLM-powered experiences, predictive models, time-series forecasting). — Collaborate closely with MLOps and Backend Engineering to operationalise models end-to-end and raise the bar on ML lifecycle rigor. — Set technical standards, mentor others, and support experimentation and iteration. You should apply if: — What we’re doing here at Monzo excites you! — You have a multiple year track record of excellence leading the development and deployment of advanced Machine Learning models to tackle real business problems, preferably in a fast-moving tech company. — You have experience developing and shipping state-of-the-art ML models to production and delivering business impact. — You're impact-driven and excited to own the end-to-end journey that starts with a business problem and ends with your solution having a measurable impact in production. — You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so. — You speak Python fluently and have extensive, hands-on experience with scikit-learn. — You are comfortable using SQL, and keen to learn Go, which is used in many of our backend microservices. — You’re comfortable working in a team that deals with ambiguity and have experience helping your team and stakeholders resolve that ambiguity. — You want to be involved in building a product that small businesses use to run and manage their financial lives every day. — You have a product mindset: you care about customer outcomes and you want to make data-informed decisions. — You’re excited about fast-moving developments in Machine Learning and AI and can communicate those ideas to colleagues who are not familiar with the domain. — You’re adaptable, curious and enjoy learning new technologies and ideas. — You’re excited by the opportunity to help Business Banking evolve into AI and ML-enabled product capability. — You can work closely with Product, Engineering, Design, Research and Data colleagues to shape product strategy, clarify trade-offs and build things that customers actually use. — You’re thoughtful about responsible ML/AI; especially in financial products where trust, transparency and customer control matter. Nice to haves: — Experience working on personalisation, ranking, recommendation, forecasting, classification or decisioning problems for customer-facing applications. — Experience working on ML systems for fintech, banking, accounting, payments, lending, invoicing, cash flow, tax, risk or business software. — Experience with GenAI, LLMs, agentic workflows, retrieval, evaluation frameworks, or human-in-the-loop product experiences. — Commercial experience writing critical production code and working with microservices. — Experience designing experiments, A/B tests or other approaches to measure product and customer impact. — Experience working in regulated environments or with products where explainability, auditability and customer trust are especially important. The interview process: Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions! — 30 minute recruiter call — 45 minute call with hiring manager — Full Loop: ML Modelling Interview, Product & ML interview, Behavioural Interview, Leadership interview Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on tech-hiring@monzo.com. Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason. What’s in it for you: — We can help you relocate to the UK — We can sponsor visas — This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). — We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. — Learning budget of £1,000 a year for training courses and conferences — And much more, see our full list of benefits here If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.

Location: Kaunas Workplace: Hybrid About Eneba At Eneba, we’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports close to 20m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We’re proud of what we’ve accomplished in such a short time and look forward to sharing this journey with you. Join us as we continue to scale, diversify our portfolio, and grow with the evolving community of gamers.  ABOUT THE TEAM  We are the Marketing Team, driving sustainable growth to make Eneba the leading marketplace for gamers worldwide. We combine data-driven decision-making with creativity to build a brand that's entertaining, trustworthy, and loved by millions of gamers. Fast-moving by nature, we continuously experiment, learn, and optimize to create meaningful experiences for our users and unite gaming communities around the globe. As a Content Editor, you'll join our growing Content team responsible for The Hub - Eneba's editorial platform covering gaming, technology, cashback deals, price comparisons, coupons, and other commercially driven content. You'll own content from ideation through optimization, using SEO, AI-powered tools, and performance insights to create articles that drive both traffic and business impact. This is a team for people who enjoy taking ownership, moving quickly, experimenting with new ideas, and continuously improving the performance of their content. Responsibilities - Own content pieces end-to-end, from writing and editing through coordinating supporting visuals and research. - Refresh and optimize existing content to improve organic traffic, rankings, engagement, and commercial performance. - Take ownership of specific content pages and their KPIs, using data to continuously improve results. - Produce high-quality SEO content at scale while maintaining exceptional editorial standards. - Ensure all content is accurate, fact-checked, well-structured, and aligned with SEO best practices. - Maintain and update "source of truth" documentation, validating facts, statistics, and references. - Collaborate closely with SEO specialists, designers, and other stakeholders to maximize content performance. - Test new content formats, optimization approaches, and editorial guidelines, measuring their impact and sharing learnings with the team. - Leverage AI tools responsibly to improve content quality, efficiency, and production speed. - Take ownership of your assigned content verticals, treating them like your own business and proactively identifying growth opportunities. Requirements - Exceptional written English with excellent grammar and attention to detail. - Proven experience writing or editing SEO-driven content. - Strong understanding of how content contributes to business growth, traffic, and revenue. - Comfortable working with content performance metrics and making data-informed decisions. - Excellent research, fact-checking, and analytical skills. - Experience working with AI writing and editing tools (such as Claude, Gemini, or similar) is a strong advantage. - Ability to manage multiple content pieces simultaneously while maintaining quality. - Comfortable working in a fast-paced, high-output environment. - Open to giving and receiving constructive feedback. - Interest in gaming, technology, or digital consumer products #LI-DNP  What it’s like to work at Eneba - Opportunity to join our Employee Stock Options program. - Opportunity to help scale a unique product.  - Various bonus systems: performance-based, referral, additional paid leave, personal learning budget. - Paid volunteering opportunities. - Work location of your choice: office, remote, opportunity to work and travel. - Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes.    Please attach CV's in English. To find out about how we handle your personal data, make sure to check out our Candidate Privacy Notice https://www.eneba.com/candidate-privacy-notice

Location: Espoo Workplace: Hybrid Role highlights: - Job title: Lab technician - Location: Espoo, Finland - Type: Permanent - Hiring Model: On-site / Hybrid Who are we? ICEYE is the global leader in synthetic aperture radar (SAR) satellite operations for Earth Observation, persistent monitoring, and natural catastrophe solutions; owning and operating the world's largest SAR constellation. ICEYE is headquartered in Finland and operates from five international locations with more than 600 employees from nearly 60 countries, inspired by the shared vision of improving life on Earth by becoming the global source of truth in Earth Observation. Our satellites acquire images of Earth at any time – even when it’s cloudy or dark – providing commercial and government partners with unmatched persistent monitoring capabilities. Information derived from our SAR images helps customers make data-driven decisions to address time-critical challenges in various sectors, such as maritime, disaster management, insurance, and finance. Our team is a tight-knit group of experts across many disciplines (e.g., engineering, software development, radar technology, etc.). We’re innovative, driven people who strive for excellence in everything we do. Teamwork, curiosity, and having fun are core values at ICEYE, and contribute to Making the Impossible possible!! Why should you work for us? ICEYE is at the cutting edge of new technology and we are continuing to build and operate our commercial constellation of SAR satellites. Working with ICEYE, you will be part of making the impossible possible, whilst shaping the Earth Observation industry. You will work with varied, diverse and engaged colleagues to further the ICEYE mission. At ICEYE we realise that without great people we can not succeed, therefore you will be an integral, valued and appreciated colleague, with the ability to directly shape the vision and direction of the business. We actively support Continuous Professional Development, and will provide access to a range of avenues to allow you to succeed, including courses, training and attendance at conferences. ICEYE is a place where your development, your growth and your success is a priority. What will you do in this role? - Serve as the primary point of contact for the Engineering Lab and related spaces. - Manage lab stock, consumables, and inventory, ensuring availability for development projects. - Keep lab documentation current and compliant with health & safety standards. - Oversee lab cleanliness, organization, and adherence to ESD protocols. - Track schedules and perform preventive maintenance and calibration of instruments. - Ensure proper storage and handling of chemicals and equipment. - Administer lab access and coordinate training on instrument handling. - Support engineering projects by: - Building test setups - Reworking boards - Making cable harnesses for testing What will you need to be successful in this role? - B.Sc. degree (or equivalent practical experience). - 1+ year of experience in an electronics lab environment. - Hands-on skills with electronic and RF lab equipment (oscilloscopes, spectrum analyzers, RF signal generators, thermal chambers, etc.). - Familiarity with mechanical lab tools (3D printer, hand tools, precision measurement tools). - Comfortable using Jira and Confluence. - Strong communication skills in English (written & spoken). - Positive attitude, eagerness to learn, and ability to thrive in a multicultural environment. In addition to the above, it would be beneficial if you had the below attributes and skills: - Experience in an R&D lab. - Basic soldering or PCBA rework/repair certifications. - Harnessing skills or certification. - Awareness of 6S standards for lab organization. What do we offer? At ICEYE, you will join a diverse and highly engaged team united by the ambition to make the impossible possible. We know that we will succeed only through exceptional people in our team, which is why your growth, wellbeing, and success are a priority. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. You will benefit from continuous professional development, training opportunities, and a culture that values collaboration, curiosity, and integrity. ICEYE is a place where your contributions have a visible impact, and where we celebrate success together. Benefits (Finland) - A job that matters in a dynamic Defence Technology and Earth Observation environment with a scale-up approach - An independent role with a supportive and diverse work environment - Occupational healthcare, occupational, and accident insurance - A yearly benefit budget to spend as you wish (sport, transport, bike benefit, wellness, lunch, etc.) - Phone subscription with iPhone of choice - Relocation support (flight tickets, accommodation, relocation agency support) - Time for self-development, research, training, conferences, or certification schemes - Inspiring and collaborating offices and silent workspaces enable you to focus. Diversity, equity, and inclusion At ICEYE, we believe that diversity isn't just a buzzword – it's our greatest asset. We're committed to fostering an inclusive environment where every voice is not only heard but celebrated. We know that diverse perspectives breed innovation and creativity, which is why we actively seek out individuals from all walks of life, backgrounds, and experiences. Whatever your background, we want you to bring your authentic self to the table. Join us and be part of a team where differences are not only embraced but cherished, because together, we're stronger. 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 http://iceye.com

Location: Paris; Singapore ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As an Applied AI Engineer on the Proto team, you will lead the design and delivery of robust, production-grade AI systems in rapid development cycles. The Proto team sits at the intersection of product and customer, turning advanced technology into meaningful, real-world solutions. You will be deeply involved in both client-facing and internal projects, ensuring Mistral’s capabilities directly address business needs and drive measurable value. You will translate complex, often ambiguous business requirements into engineered solutions that work at scale. In this role, you guide technical decisions, collaborate closely with internal teams and customers, and help shape product direction by pressure-testing what’s possible. Your work will unlock new business opportunities and help drive continuous product improvement. WHAT YOU WILL DO - Deliver end-to-end full-stack AI solutions from project scoping through deployment - Partner with customers to clarify needs, define requirements, and architect robust systems - Ship ready-to-use applications for both clients and Mistral’s internal teams - Lead architecture and technical choices, ensuring solutions are scalable and reliable - Diagnose and solve complex technical problems across various industries and use cases - Contribute to internal tools, product improvements, and open-source initiatives - Evaluate and integrate new technology capabilities into existing systems WHAT WE'RE LOOKING FOR - At least 2 years building and deploying production AI products or systems - Strong experience with vibe coding tool, with high regards for clean code & high architecture standards - Experience working with modern GenAI stacks with expertise in RAG, Agent, Evaluation & Orchestration. - Strong Python skills, with experience in scalable backend frameworks like FastAPI - Familiarity with frontend development, ideally using frameworks such as React or Vue - Ability to quickly understand business needs and translate them into technical plans - Skilled at explaining complex technical ideas to diverse stakeholders - Track record of collaborating effectively across different teams WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: San Francisco, 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 Anthropic runs one of the largest and fastest-growing infrastructure fleets in the industry, across multiple accelerator families, CPU families, clouds, neoclouds, and on-prem sites. Capacity Engineering owns the data, tooling, and systems that let Anthropic plan, measure, and maximize utilization of that fleet: we partner on supply deals, wire telemetry from day zero, own the canonical capacity data layer, and build the planning and enforcement tools every research and product team relies on. This role sits in the Planning pillar, on the Demand Planning team, and works daily with research engineering, pretraining, inference, compute supply, finance, and external vendors. You own the tranches. The job has two halves that feed each other. Upstream, you take the Demand Planning forecast and turn it into per-tranche requirements — shape, interconnect, region, supporting resources, date — and carry those into sourcing negotiations and data center build reviews so we contract for capacity we can actually use when we need it. Downstream, you own the integrated schedule and system of record for every tranche in flight — from contracted through reserved, ingested, in-cluster, healthy, and occupied — and you drive the owners of each hop to their dates. Every slip you see downstream becomes a contract-language fix, an automation, or a correction fed back to the forecast. What you'll do Turn the forecast into per-tranche requirements. Take the Demand Planning forecast plus direct input from research, pretraining, and inference planners, and convert it into concrete accelerator, interconnect, region, supporting-resource, and date requirements for each tranche. Represent those in sourcing negotiations and data center build reviews, including which contractual terms actually move delivery dates. Qualify tranches for deliverability before signature. The Capacity Planner signs fit-to-forecast; you sign whether the shape can land schedulable, healthy, and instrumented in that region on that date, with storage, egress, identity in place. Close the delivery loop. Track forecast-versus-delivered on shape, region, and timing for every tranche; publish the variance; and feed it back to Demand Planning and into the next contract. Own the bring-up system of record. Define the canonical contract-to-occupied state machine with explicit entry and exit criteria per stage, and make it a first-class object in the capacity data layer so every downstream tool sees in-flight capacity, not only what has landed. Run a portfolio of bring-ups in parallel — new cloud regions, on-prem sites, neocloud blocks — with one integrated schedule spanning provider milestones, cluster creation, network turn-up, storage readiness, health burn-in, and first-workload landing. Drive readiness automation: All capacity systems are fully integrated for all new capacity, from contracted through ingested, automated and scaled. Instrument and publish the numbers that matter — time-to-occupied and paid-idle dollars per tranche — with executive-level reporting on status, tradeoffs, and risk across the portfolio. What you bring Significant experience delivering large-scale infrastructure — cloud regions, accelerator clusters, HPC systems, or bare-metal fleets — at multi-region scale or ≥10k accelerators (or CPU/storage equivalent). Technical range from through cluster orchestration and node health, up to the telemetry and planning tables on top — enough to debug where they disagree rather than route it. SQL and enough Python to answer your own questions and build your own reporting. A degree in a technical field or an equivalent engineering track record. Preferred Reserved-capacity onboarding, private offers, or capacity commitments with cloud or neocloud providers. Enough demand-planning exposure to challenge a forecast, translate it into per-tranche requirements, and feed delivery variance back into it. Data center or colocation delivery: power and space planning, network turn-up, site acceptance, vendor management. Accelerator health and burn-in, collective-communications sanity testing, or fleet-health SLOs — and a rigorous definition of "healthy." Systems of record or lifecycle services for infrastructure assets. Onboarding a new hardware generation into an existing scheduler and observability stack. 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: $320,000 — $405,000 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. 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: Poland Workplace: OnSite ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. We're looking for an experienced, driven Senior Strategic Account Executive to drive ElevenLabs' growth across Poland's largest enterprises, with a specific focus on Government & Utilities. Our ideal candidate has a well-established network and a proven track record of selling to C-level and senior decision-makers at major Polish institutions — and is passionate about the transformative possibilities of AI voice technology. In this role you'll act as a strategic partner and trusted advisor, enabling clients to leverage our industry-leading models and ElevenAgents — our end-to-end platform for building and deploying AI voice agents — to reimagine their customer experience, internal workflows, and monetization strategies. In this role you will: - Build and manage a growing portfolio of strategic accounts across Poland, with a primary focus on Government & Utilities, to help ElevenLabs meet its revenue goals. - Identify new business opportunities where ElevenLabs' conversational AI capabilities, including ElevenAgents, can drive customer engagement, contact center automation, and operational efficiency across Government & Utility institutions. - Lead consultative, multi-stakeholder sales cycles, building compelling business cases that translate AI voice technology into measurable business value for senior executives and economic buyers. - Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends. - Demonstrate expertise, or a strong willingness to learn, about conversational AI and how ElevenLabs' voice technology can unlock value across customer support, virtual agents, IVR modernization, and in-app assistants. - Develop and execute account strategies to expand ElevenLabs' presence within the Polish Government sector, navigating complex procurement and organizational structures. - Partner closely with Customer Success, FDEs and Solutions Engineering to ensure smooth onboarding, deployment, and expansion of accounts. - Serve as a trusted advisor to clients, educating C-suite and senior operations leaders on emerging trends in generative AI, voice interfaces, and conversational agents. Requirements: - 7+ years of quota-carrying strategic sales experience in SaaS or technology, ideally with exposure to AI, generative AI, LLM-based products, or API-driven platforms. - Proven success closing deals and managing long, complex sales cycles with multiple stakeholders across business, IT, legal, and procurement. - Well-connected in the Polish Government and Utilities landscape, with an existing network of senior individuals and strong executive presence and ability to build relationships at the C-suite and board level. - Experience selling technical solutions to product and engineering leaders; ability to translate complex technology into business value. - Deep understanding of enterprise procurement and legal processes in Poland, with the ability to accelerate deal velocity within complex organizational structures. - Comfort operating in an early-stage, high-growth environment, including building new playbooks and iterating quickly. - Passion for voice and audio AI and how it can unlock transformative value for customers. - A hybrid of customer and product-driven mentality that prioritizes customer satisfaction and scale. - Native or full professional proficiency in Polish; strong English for internal collaboration. Location: This is an in-country role with a preference for a candidate based in Warsaw. #LI-remote   We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: United States Workplace: Remote We are looking for a Senior Analyst, Strategy & Planning to serve as the operational counterpart to FP&A inside Revenue Operations. This role is accountable for headcount and expense management, comp plan execution, forecast roll-ups, and the analytical work that keeps the GTM organization on plan. Reporting to the Director of Strategy & Planning, you will partner directly with FP&A and across Revenue Operations. This is a high-visibility individual contributor role with broad exposure to the operating mechanics of the GTM organization. WHAT YOU'LL BE DOING - Program-manage the annual planning cycle across Sales and Finance: own the timeline, drive the deliverables, coordinate stakeholders, and synthesize the output into a single plan. - Own headcount and expense management for the GTM organization: track plan vs. actual, manage requisitions, partner with hiring managers and recruiting on capacity. - Run the comp plan modeling and execution cycle: scenario modeling, plan documentation, exception handling, and partnership with the comp administrator on payout accuracy. - Build and maintain forecast roll-ups across regions and segments. Partner with FP&A on variance analysis and corporate forecasting. - Support territory and quota deployment: produce the analytical work that underpins the annual plan and mid-year adjustments. - Maintain the Strategy & Planning analytical layer: dashboards, recurring reports, and the data quality work that makes the rest of the team's work possible. - Partner with FP&A on month-end close, commissions accruals, and revenue reporting. WHAT YOU BRING ALONG - 5+ years in revenue operations, sales finance, FP&A, strategic finance, or a similar analytical role. SaaS or consumption-based business model experience preferred. - Owner-operator mindset. You treat your scope as a system you own end-to-end: you build it, you run it, you fix it when it breaks, and you measure it by what it produces. - Comfortable program-managing a cross-functional process. You can hold a timeline, drive deliverables across Sales and Finance leadership, and synthesize across stakeholders without being told how. - Strong financial modeling skills. Driver-based modeling in Excel and Google Sheets, built independently. - SQL fluency required; Python a plus. Familiarity with ClickHouse, dbt, or a comparable modern analytics stack. Comfort working in code, not just spreadsheets. - Working knowledge of accounting principles: how revenue, commissions, and expense flow through the financial system. - Detail-oriented and comfortable with operational rigor. You see controllership as a discipline, not a chore. - Strong written and verbal communication. Able to translate analytical work into clear recommendations for senior stakeholders. - Familiarity with Salesforce, comp administration platforms (CaptivateIQ, Spiff, or similar), and BI tools. - Bachelor's degree in a quantitative field PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: New York, NY (HQ); San Francisco, CA; Toronto, ON Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE As a Customer Activation Manager at Ramp, you’ll help partner-sourced customers improve how they manage their finances. You’ll own a book of approximately 80 customers, guiding them through implementation and helping their teams adopt new workflows, including Ramp’s AI and agentic finance capabilities. This role goes beyond getting customers live. You’ll work with finance leaders, their teams, and external partners to understand what needs to change, address resistance, and make sure customers see measurable value from Ramp. We’re looking for someone who’s led customers through change, is comfortable working with CFOs and Controllers, and uses AI regularly in their own work. WHAT YOU’LL DO - Guide partner-sourced customers from implementation through ongoing workflow adoption, with accountability for time to value and business outcomes. - Build a change management plan for each account: identify stakeholders, understand what’s slowing adoption, and help customer teams work through it. - Help CFOs and Controllers measure Ramp’s impact, including improvements in close cycles, spend visibility, variance reduction, and ROI. - Manage relationships across the customer’s organization, including finance leadership relationships you’ll own independently. - Use AI to prepare for calls, build customer materials, synthesize data, spot account risks, and reduce repetitive work. - Help customers evaluate and adopt Ramp’s agentic finance capabilities, including the changes these workflows require in their teams’ day-to-day work. - Work with Channel Partner Managers, Partner Consulting, Account Executives, and Technical Consulting to coordinate implementations and identify opportunities to expand Ramp’s use. - Share recurring customer needs, product gaps, and feedback with Product. WHAT YOU’LL NEED - 5+ years in customer success, consulting, implementations, or a similar customer-facing role, with a consistent record of delivering customer outcomes and exceeding goals. - Experience driving workflow adoption and managing organizational change, including navigating stakeholder resistance. Finance or fintech experience is helpful but not required. - Regular, hands-on use of AI to prepare for calls, synthesize information, create customer-facing materials, and automate repetitive tasks. - The ability to build a business case for workflow changes and explain their financial impact to CFOs and Controllers, connecting implementation progress to business results. - Enough technical depth to work with Product and Engineering on integrations, APIs, and workflow design, and explain those topics to customers. - Success in a fast-paced GTM environment, ideally at a SaaS or fintech company. - Strong collaboration skills and the ability to get work done across Sales, Product, Operations, and other GTM teams. NICE-TO-HAVES - Experience helping customers adopt AI-powered or agentic workflows, with an understanding of what gets in the way of adoption. - Familiarity with FP&A, accounting platforms such as NetSuite, Sage, QuickBooks, or Xero, expense management, or other finance workflows. - Measurable results in expansion, retention, or time to value. - Experience at a company where AI was central to the product or how the team worked. - Experience managing 50+ customers at once, prioritizing across accounts, and turning open-ended problems into clear plans. - Experience working with third-party partners or consultants on customer activation and new use cases. - Experience in a high-growth company or startup, where priorities and processes change quickly. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: 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 Developer Relations at Anthropic, you will help developers discover, onboard, and get the most out of Claude Code, Claude Tag, and future developer products. This role is pivotal in helping developers adopt Claude-powered products, growing our developer ecosystem, gathering crucial feedback to inform product development, and ensuring our products are used responsibly, safely, and securely. You'll be a hands-on technical voice for Anthropic's developer community, including partners, customers, and independent developers. Your success in this role will directly shape how developers experience and adopt Claude, helping users adopt new ways of working with Claude and bringing developer feedback back to product and research teams Building strong relationships between our developer community and internal teams will be essential as we advance our mission of creating reliable, interpretable AI that follows human intent. What You'll Do Drive Technical Strategy and Impact Shape how developers discover and engage with Anthropic's developer products (specifically Claude Code and Claude Tag), bringing a strong point of view grounded in hands-on experience and feedback from users. Build frameworks and mechanisms for measuring developer success that align with both business objectives and our mission of safe, beneficial AI Prioritize community and content initiatives based on data, developer feedback, and business needs Partner closely with product and engineering to ensure developer needs inform the roadmap Set the Bar for Developer Relations Craft Help define what world-class AI developer relations looks like in this emerging field Model excellence in technical content, code samples, and developer engagement that others can learn from Contribute to and help evolve the processes and best practices the broader DevRel function relies on Drive Scaled Developer Adoption and Success Understand the diverse needs of developers across segments, from individual hobbyists to enterprise engineering teams Partner with GTM, Sales, and Marketing to support developer-focused campaigns that drive adoption Lead and participate in high-impact developer events, workshops, and community activities that introduce Claude to strategic developer communities Generate high-quality technical content (ex: sample apps, tutorials, documentation, integration guides, and best practices) that demonstrates how to use Claude responsibly and effectively Drive Alignment Through Cross-Functional Collaboration Act as an advocate for developer needs at Anthropic, translating developer feedback into concrete product and content initiatives Collaborate with Research to translate AI capabilities into accessible educational resources Partner with Communications and Marketing to amplify developer success stories Promote best practices for responsible AI use among developers building with Claude About You You have 5+ years of experience in developer relations, developer experience, or technical product/engineering roles, with a track record of shipping content or tools that measurably grew a developer ecosystem You're technically credible. You can deeply understand AI/ML and API concepts and translate complex technical ideas for various audiences, from individual developers to enterprise engineers You have hands-on technical ability. You can write production-quality code demos, critically review developer samples for quality and best practices, and give specific, actionable technical feedback You have real insight into developer psychology and behavior. You know how to reach developers through the right channels, build authentic affinity for products, and design content that drives meaningful adoption You're passionate about AI's potential and deeply committed to ensuring it's developed responsibly, with a genuine interest in AI safety and ethical considerations You're a collaborative contributor who can influence across teams without direct authority, building strong relationships with stakeholders at all levels You've thrived in high-growth environments and can adapt quickly as priorities evolve Nice to Have Experience working specifically with large language models or generative AI Background in AI safety, ethics, or responsible AI development Public speaking experience at industry conferences and events Content creation experience (technical writing, video tutorials, etc.) 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: $290,000 — $435,000 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. 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: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers people to perform at a higher level through a deeper understanding of their bodies and daily lives. We handle massive amounts of data continuously streaming up to the cloud from people improving their health and wellness - from the world’s greatest athletes to people managing and seeking to improve their health and longevity.   The Platform Software org focuses on building features that retain our member’s trust through security, expand our global presence through international expansion, as well as drive our developer experience.   As a Product Manager on the Platform Team, you will define and drive the strategy and roadmaps, for our Identity team and our internationalization team. You will drive direct member facing improvements for members all over the world, helping them securely access and control their accounts and data. Own the end-to-end identity platform, including authentication, authorization, identity lifecycle systems, while delivering seamless member-facing experiences across mobile, web. You will also drive a coordinated roadmap on our international expansion across multiple languages and decide expansion strategy directly impacting bookings. RESPONSIBILITIES: - Take ownership of key company metrics related to member account security, login and access conversion rates, usage rates of login controls, and other relevant indicators that report up to the executive team. - Set a product strategy, roadmap, and measurable goals for your product area and team. - Manage end-user experiences, including login across mobile, web, and API. - Balance security with user experience for a product worn and utilized daily across the globe. - Collaborate with Engineers and Analysts to break down and prioritize user needs, and to scope and define detailed product requirements. - Collect and analyze internal and external customer needs and feedback through rigorous research and testing methodologies. - Conduct in-depth analysis to formulate compelling business cases for new product ideas and to assess the performance of launched features. - Develop and manage relationships with third-party suppliers, vendors, and services to ensure smooth operations. - Facilitate product discovery, development, and delivery for new products and improvements across mobile and back-end infrastructure. - Collaborate cross-functionally with Software, Information security, Finance, Marketing, Growth, and other departments to drive business strategy and integration of critical workflows. QUALIFICATIONS - Proven experience in Product Management with a clear record of successful delivery and impact collaborating with a highly technical engineering team. - Deep analytical skills and a bias for data driven decision making. - Experience with SQL/Amplitude/Sigma for data analysis is a plus (and will be required to learn on the job). - Experience with AI tools to drive productivity and data analysis. - Experience working with security teams and translating security requirements to product deliveries. - Experience working on subscription products, within a DTC company/team, and/or on both mobile and web products is preferred. - Experience coordinating across multiple teams and stakeholders to deliver business impact. - Curiosity led and willingness to learn and grow in a fast paced environment. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $155,000 - $215,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.   In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Quito, Ecuador Workplace: hybrid Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. The Client Solutions team are responsible for campaign execution and success, working closely with the Client Partner team to deliver a first-class service to clients. Working with the top agencies and brands across Latam to educate and inform about the exciting evolution of this platform and Aleph. The Client Solutions Manager In partnership with the Client Partner and in collaboration with the Brand Strategist, is responsible for ensuring successful design and delivery of all assigned campaigns strategy, including original content, custom-built, high-impact and targeted media. Main Responsibilities Participate in strategic planning with sales to grow or generate new business opportunities. Act as a consultant for top Key accounts POC for clients to deliver campaign management and reporting in time, Provide actionable insight to clients and sales with quantitative and qualitative analysis on campaign performance drivers (products, budget, costs, and creatives efficiency metrics against defined KPIs) and delivery. Ensure that SLAs are respected to become 1st class in client service. Performance side: optimize accounts to increase spend and on the reservation side, you will need to manage the project to success. Drive education on products, company updates and share company best practices as relevant to client or agencies' business. Work and collaborate with a diverse group of internal cross functional teams, support the team to identify, create, and implement creative ad solutions grounded on achieving measurable business results for client partners. Be the premium contact of the Sales Team. Aid the team in educating clients and agencies on product solutions and best practices, and ultimately helping to grow existing business, helping the team manage relationships with key clients and agency partners (media, creative, marketing partners) Maximize ROI for brand campaigns through optimization and up-sell recommendations supported by client facing reports. Ability to manage large customer relationships and manage through conflict, driving groups to collective business decision. Providing feedback to product and tools teams to help us scale our advertising platform. Organize & manage account information, assets & data, and reports. Keep accurate record of all pending and active campaign plans, assist to maintain campaign schedule and availability of ad placements. Work with the product and campaign execution team to ensure ad specifications and rates are accurate as well as being responsible for the reporting of and optimization of campaigns. Skills and Experience Required At least 3 years of experience in client relationship management and digital media. Bachelor’s degree in Advertising, marketing, business or tech Deep understanding of digital landscape and a passion for social media Intimately familiar with online media planning, design and art control of advertising pieces. Experience managing campaigns across digital platforms and ad tech product. Strong communication and people skills (working directly with clients). Detail oriented, with exceptional organizational skills Aptitude, creativity, and a preference for working in collaborative teams and across business unit. Strong time management and problem-solving skills. Ability to multi-task under challenging deadlines still focusing on details. Fluent in English and Spanish Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH