Вакансии

Location: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking an exceptional Software Engineer III to join our Engineering team . Garner’s Engineering team tackles incredibly hard technical problems for a mission that truly matters. Our systems analyze billions of medical records to rank healthcare providers across the country. We are an AWS + Kubernetes shop, and we are constantly introducing new technologies as our system load doubles every year. We expect our engineers to champion cutting-edge industry practices as we aggressively embrace AI in every facet of our operations and norms. We are seeking teammates who take pride in delivering their best work while fostering a strong team culture. Where you will work: This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: Use AI to build, optimize, and maintain software systems Collaborate across disciplines to understand our domain and iterate on projects Protect our users’ privacy and security through best practices The ideal candidate has: 2+ years of software engineering experience, especially with distributed event-driven architectures A generalist software engineering mindset ready to learn new languages, frameworks, and techniques required for a fast paced startup environment Familiarity with data security and HIPAA compliance A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback What you’ll get here: You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Technologies we use: Claude Code, Kubernetes, AWS, Airflow, dlt, dbt, Python, TypeScript, React, Go This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation Transparency: The target salary range for this position is $194,000 - $220,000 . Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking an exceptional Software Engineer II to join our organization. Garner’s Engineering team tackles incredibly hard technical problems for a mission that truly matters. Our systems analyze billions of medical records to rank healthcare providers across the country. We are an AWS + Kubernetes shop, and we are constantly introducing new technologies as our system load doubles every year. We expect our engineers to champion cutting-edge industry practices as we aggressively embrace AI in every facet of our operations and norms. We are seeking teammates who take pride in delivering their best work while fostering a strong team culture. Where you will work: This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: Use AI to build, optimize, and maintain software systems Collaborate across disciplines to understand our domain and iterate on projects Protect our users’ privacy and security through best practices The ideal candidate has: 2+ years of software engineering experience with a generalist software engineering mindset ready to learn new languages, frameworks, and techniques required for a fast paced startup environment Familiarity with data security and HIPAA compliance and a desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback. Technologies we use: Claude Code, Kubernetes, AWS, Airflow, dlt, dbt, Python, TypeScript, React, Go This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation Transparency: The target salary range for this position is $162,000 - $190,000 . Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: Remote What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking an exceptional Senior Software Engineer to join our Engineering team. Garner’s Engineering team tackles incredibly hard technical problems for a mission that truly matters. Our systems analyze billions of medical records to rank healthcare providers across the country. We are an AWS + Kubernetes shop, and we are constantly introducing new technologies as our system load doubles every year. We expect our engineers to champion cutting-edge industry practices as we aggressively embrace AI in every facet of our operations and norms. We are seeking teammates who take pride in delivering their best work while fostering a strong team culture. Where you will work: Garner is headquartered in NYC, but this position is available for individuals who are comfortable with remote work and occasional travel to HQ What you will do: Lead technical strategy and decision-making on assigned domains Use AI to build, optimize, and maintain software systems Mentor and uplevel early-career engineers Collaborate across disciplines to understand our domain and iterate on projects Protect our users’ privacy and security through best practices The ideal candidate has: 4+ years of software engineering experience A generalist software engineering mindset ready to learn new languages, frameworks, and techniques required for a fast paced startup environment Demonstrated ability to build complex systems using AI coding agents (we use Claude Code) The ability to learn quickly and mentor others Familiarity with data security and HIPAA compliance A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback What you'll get here: You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Technologies we use: Claude Code, Kubernetes, AWS, Airflow, dlt, dbt, Python, TypeScript, React, Go Compensation Transparency: The target salary range for this position is $200,000 - $255,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: Paris; Amsterdam; Singapore; London; Lausanne Workplace: Hybrid 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. ROLE SUMMARY As a Research Engineer on Forge, you will turn real customer requirements into reliable training and deployment workflows. You’ll work end‑to‑end across model adaptation and post‑training (CPT/SFT/RL/distillation), evaluation, data, and infrastructure. The role bridges research experimentation and production constraints. This role sits in Applied Science, with direct impact on client outcomes. You’ll collaborate closely with scientists, engineers, product, and customer‑facing teams to ensure Forge projects ship, are maintainable, and can be trusted by others. Interview focus can vary (algorithms, infrastructure, evals, or data). You don’t need to match every bullet below to apply. WHAT YOU WILL DO - Build and improve post‑training and evaluation workflows (CPT/SFT/RL/distillation), turning prototypes into repeatable Forge “recipes”. - Develop tools and pipelines for synthetic data generation, data curation, training, evaluation, and deployment. - Debug and harden large‑scale ML systems: distributed training, scheduling/execution, checkpointing, observability, and reproducibility. - Improve the Forge codebase via clear APIs, tests, documentation, and maintainable abstractions. - Push the frontier of our RL training stack (e.g., high-throughput async rollout and scalable post‑training systems at frontier-model scale) - Make sure Forge deployment is seamless and adaptable to a diversity of clients (hardware access, software stack, cloud and on-premises, …) - Partner with researchers and infrastructure engineers to translate bottlenecks into concrete system improvements. ABOUT YOU - Strong Python engineering skills and experience working in large codebases (testing, code review, CI, operational ownership). - Hands‑on experience with PyTorch, JAX, or similar. - Strong systems and infrastructure fundamentals. - Experience with LLM training or post‑training: fine‑tuning, RL, distillation, evaluation, and/or data pipelines. - Excellent debugging skills in ambiguous systems (distributed jobs, data issues, quality regressions, infra failures). - Clear communication with technical and non‑technical stakeholders. - High agency, low ego, and comfort in fast‑moving, under‑specified environments. NICE TO HAVE - Distributed training experience (FSDP, DeepSpeed, Megatron, etc.). - Cluster/orchestration experience (SLURM, Ray, Kubernetes, Kueue, Karpenter, Skypilot, etc.). - Experience building reliable ML infrastructure, evaluation systems, or large‑scale data processing pipelines. - Research experience in LLMs, agents, multimodal models, reasoning, code, or domain adaptation. - Open‑source contributions, publications, or widely used internal tooling. - Experience training multi‑billion‑parameter models (pre‑training or RL). Experience training on petabyte- and exabyte-scale datasets. - Ability to identify bottlenecks across the stack and drive improvements from first principles. 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: Toronto, Ontario Workplace: Hybrid Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. THE ADVENTURE AHEAD 🚀 As a Senior Product Designer, Content Design & Language Systems, you’ll lead ambiguous product problems where workflow, interaction, information architecture, and language need to work together. You’ll help make Docebo’s complex enterprise experiences clearer, more consistent, and easier to use for admins, creators, managers, and learners. This is not a traditional UX writing role or a localization-operations role. You’ll be a hands-on Product Designer who shapes product behaviour as well as product language. You’ll design complete workflows, build reusable terminology and content patterns, improve AI review and confidence experiences, and embed language guidance into our design system and delivery practices. You’ll shape problems before solutions are fixed, choose appropriate discovery and validation methods, and connect customer evidence, product data, business context, technical constraints, accessibility, and localization risk to clear product decisions. You’ll partner closely with Product Management, Engineering, UX Research, Elemental / Design System, Accessibility, Technical Writing / Localization, AI teams, and other Product Designers—building a shared quality capability without becoming a bottleneck or approval queue. THE DAY-TO-DAY 💻 - Frame Ambiguous Workflow and Language Problems: Turn incomplete or conflicting inputs into clear problem statements, hypotheses, decision questions, and an actionable path to learning. - Lead Discovery and Define Outcomes: Select appropriate research and validation methods; combine customer evidence, product analytics, business context, technical constraints, and localization insight to establish measurable success signals and visible trade-offs. - Design Complete Product Workflows: Lead interaction, information-architecture, and content decisions across roles, permissions, states, edge cases, accessibility, responsive behaviour, errors, confirmations, approvals, and recovery. - Build Docebo’s Product Language System: Establish terminology, product voice and tone, reusable microcopy patterns, audience guidance, and language principles that improve clarity across product areas. - Design Trustworthy AI Moments: Create patterns that help people understand what AI did, what informed it, what needs attention, and how to review, edit, regenerate, approve, reverse, or recover. - Embed Guidance into Product Systems: Partner with Elemental / Design System to create component-level guidance, default strings, usage examples, do-and-don’t guidance, and reusable quality checks. - Design for Localization Readiness: Own product-side standards for translation-ready writing, terminology reuse, variables and placeholders, language previews, and localization constraints while partnering with Technical Writing / Localization on operational workflows. - Prototype and Audit with AI-Assisted Methods: Use appropriate-fidelity prototypes and AI-assisted workflows to explore product behaviour, evaluate alternatives, audit language, and assess usability and technical feasibility before significant implementation investment. - Partner Through Shipped Quality: Work closely with Engineering on implementation strategy, design QA, product polish, and post-release iteration using customer feedback and product evidence. - Create Reusable Leverage: Turn repeated workflow and language needs into patterns, assets, documentation, terminology, prompts, or practices that improve more than one feature. - Mentor and Facilitate: Help designers and cross-functional partners build stronger product-language judgment through critique, decision reviews, workshops, concise documentation, and practical guidance. YOUR SUPERPOWERS 🦸‍♀️ - Your portfolio shows ownership of complex, ambiguous workflows or significant product-area work with visible customer and product impact—not only writing samples - You can explain how you triangulated qualitative research, quantitative evidence, business risk, localization considerations, and technical constraints - You demonstrate strong interaction, visual, information-architecture, content-design, accessibility, and product-language judgment across difficult states and edge cases - You have created or contributed to product-language systems, terminology frameworks, component guidance, content pattern libraries, or other reusable product standards - You show how prototypes, experiments, audits, or validation changed product direction before or after release - You can define meaningful outcomes, distinguish signal from activity, and explain what the team learned after launch - You have influenced Product and Engineering decisions early, managed disagreement constructively, and stayed accountable through implementation quality - You understand how product language must work across design systems and languages, including translation readiness, terminology reuse, variables, layout constraints, and inclusive communication - You use AI-assisted tools thoughtfully for research, synthesis, language exploration, prototyping, quality review, or implementation critique while retaining human judgment and accountability - You have helped other designers or cross-functional partners build stronger judgment through mentorship, critique, facilitation, and practical guidance BONUS POINTS 🌟 - Experience designing language and interaction patterns for AI-assisted, agentic, recommendation, conversational, generated-output, or automation workflows - Experience with localization tooling and practices such as Lokalise, terminology management, localization previews, translation-quality review, or localization-to-codebase workflows - Contributions to design systems, accessibility maturity, product-language systems, research practices, or reusable interaction patterns - Experience with enterprise learning, HR technology, content authoring, analytics, knowledge management, administration, or skills platforms - Practical experiments with tools such as Codex or similar systems—for AI-assisted audits, product-language linting, prompt packs, prototypes, plugins, scripts, or app-level language guidance—that show you learn by making OUR INTERVIEW PROCESS 🗺️ - Step 1: A 30-minute video call with a member of our Talent team. We’ll get to know you, share more about the role and team, and confirm that we’re aligned. - Step 2: A 45–60-minute conversation with the hiring manager focused on your experience, approach, and what interests you about the opportunity. - Step 3: A 60-minute portfolio deep dive and collaborative case discussion focused on complex workflow ownership, content and interaction decisions, reusable systems, evidence, craft, and measurable learning or impact. - Step 4: A final conversation focused on product-area influence, mentorship, values alignment, and cross-functional decision making. OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing.   OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul.   OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Fuel for Your Day: Receive a meal voucher for every working day, so you can focus on doing your best work while enjoying a meal that keeps you energized. - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long.

Location: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking an exceptional Senior Software Engineer to join our Engineering team . Garner’s Engineering team tackles incredibly hard technical problems for a mission that truly matters. Our systems analyze billions of medical records to rank healthcare providers across the country. We are an AWS + Kubernetes shop, and we are constantly introducing new technologies as our system load doubles every year. We expect our engineers to champion cutting-edge industry practices as we aggressively embrace AI in every facet of our operations and norms. We are seeking teammates who take pride in delivering their best work while fostering a strong team culture. Where you will work: This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: Lead technical strategy and decision-making on assigned domains Use AI to build, optimize, and maintain software systems Mentor and uplevel early-career engineers Collaborate across disciplines to understand our domain and iterate on projects Protect our users’ privacy and security through best practices The ideal candidate has: 4+ years of software engineering experience A generalist software engineering mindset ready to learn new languages, frameworks, and techniques required for a fast paced startup environment Demonstrated ability to build complex systems using AI coding agents (we use Claude Code) The ability to learn quickly and mentor others Familiarity with data security and HIPAA compliance A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback What you’ll get here: You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Technologies we use: Claude Code, Kubernetes, AWS, Airflow, dlt, dbt, Python, TypeScript, React, Go This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. Compensation Transparency: The target salary range for this position is $230,000 - $285,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: San Jose, California or Remote Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities. Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore Have Fun and Is Motion Gaming Back? , as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations. Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities. Important Notice: ⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in @nex.inc . If you receive a suspicious email or message, please do not respond and report it immediately to us. Location: Remote Annual salary: USD 180,000 — 220,000 per year Final base salary within this range will be determined based on job-related factors, including the candidate’s experience, skills, qualifications, and geographic location. Type: Full-time Reports to: General Counsel About the Role We're looking for a seasoned product counsel to be Nex's primary legal partner to Product, Engineering, Trust & Safety, Design, and Marketing - advising across the full product lifecycle, with particular depth in privacy and children's privacy compliance. You will own Nex's privacy program day-to-day, including COPPA compliance, camera- and AI-driven data collection practices, and consent and disclosure flows, while also advising on consumer protection, IP, emerging AI regulation, and the broader mix of legal issues that come up as we ship new hardware features, games, and Play Pass content. This is a senior, largely independent role for someone who wants to build a product legal function from scratch rather than plug into an existing one - you'll be writing our first privacy program, our first product-review processes, and our first AI governance approach, with real opportunity to grow this into a larger function as Nex scales. What You'll Do Privacy & Child Safety Program Ownership Own Nex's privacy program end-to-end: COPPA compliance, data mapping for our camera- and AI-driven product, vendor data processing agreements, and consent/disclosure flows for a product used heavily by children. Draft, review, and maintain Nex's privacy policy, terms of service, and parental consent flows, including for new markets as we expand internationally (e.g., GDPR and other regional children's/data protection frameworks). Advise Product, Engineering, Trust & Safety and Design on privacy-by-design principles and age-appropriate product experiences from ideation through launch. Monitor the evolving children's privacy and online safety regulatory landscape (COPPA, state age-appropriate design laws, GDPR-K, and similar frameworks) and translate developments into actionable product guidance. Serve as the point of contact for privacy incidents, regulatory inquiries, and data subject/parental requests, escalating appropriately to the GC and outside counsel. Serve as the escalation point for Legal Operations and Commercial Counsel on any privacy or COPPA questions that surface in vendor, commercial, or operational contexts - they are trained to flag these to you rather than advise on them directly. Product Counseling Across the Lifecycle Be a trusted, embedded advisor to Product, Engineering, Trust & Safety, Design, and Marketing - reviewing new features, hardware capabilities, and AI/motion-detection functionality for legal risk from concept through launch. Advise on consumer protection issues relevant to Play Pass and other subscription or in-product offerings, including disclosures, auto-renewal compliance, and promotions or sweepstakes tied to product launches or marketing campaigns. Review product user experiences, in-app disclosures, and marketing/advertising materials to mitigate legal risk while supporting the team's goals. Provide practical guidance on emerging AI regulation as it applies to Nex's computer vision and motion-detection technology, including responsible AI development and deployment considerations. Flag physical product safety and liability considerations that arise from hardware feature design (e.g., camera/sensor placement, physical play mechanics, choking/impact hazards for young users) to the GC and outside counsel during feature review. Support IP strategy for product innovation: facilitate invention harvesting and patent-strategy conversations with Engineering, and advise on trademark use in-product, in partnership with Legal Operations on portfolio docketing. Building the Function Build the playbooks, guides, and internal training that let Product, Engineering, and Marketing self-serve on lower-risk questions and escalate the right issues early. Design a scalable legal review process for product launches that keeps pace with Nex's release cadence without becoming a bottleneck. Partner with Legal Operations on intake triage and template design for product-related legal requests, and with Commercial Counsel to keep licensing/partnership agreements aligned with product privacy and IP commitments. Manage outside counsel on specialized privacy, AI regulatory, product-safety, or IP matters as needed, with Legal Operations administering the underlying vendor relationship and spend. As Nex scales, help define whether and how this function grows - this role has a credible path to leading a larger product legal team. What You'll Bring J.D. and active bar membership in good standing (California or another U.S. state, as applicable). 4-7+ years of relevant legal experience, combining law firm and in-house product counseling at a technology or consumer products company. Deep, hands-on experience with children's privacy compliance (COPPA, age-appropriate design frameworks, GDPR-K or similar) - this is the technical core of the role. Experience advising product, engineering, and design teams throughout the full product development lifecycle, not just at launch review. Working knowledge of consumer protection law as applied to subscriptions, promotions, and marketing claims. Comfort advising on emerging AI/computer vision regulatory questions, even without a technical background, and genuine interest in the underlying technology. A builder's mindset: comfortable creating playbooks, review processes, and governance frameworks from scratch rather than operating an existing one. Excellent judgment translating complex legal and regulatory requirements into clear, actionable guidance for non-legal audiences under real deadlines. Strong cross-functional relationship-building skills and a low-ego, collaborative approach. Nice to Have Privacy certification (CIPP/US, CIPP/E, or similar), or willingness to obtain one. Experience in consumer hardware, consumer electronics, gaming, or toy/kids' products. Experience supporting sweepstakes, contests, or promotions tied to consumer products or subscriptions. Exposure to patent or trademark strategy in a product/engineering context. Experience advising on international product launches and multi-jurisdictional compliance. What Success Looks Like Product, Engineering, Trust & Safety, Design and Marketing have a legal partner they trust to move fast on new features and launches with confidence. Nex has a documented, defensible privacy and children's data protection program that scales as the company grows and enters new markets. Privacy, consumer protection, and AI regulatory issues are surfaced and resolved at the design stage, not after the fact. Playbooks, templates, and review processes let the product organization self-serve on routine questions, freeing this role to focus on the highest-impact issues. Nex is positioned to expand this function as the business grows, with this person as the natural lead. We Offer Competitive compensation package. Flexible working hours and vacation policy. Product-driven culture that treasures talents and individual growth. Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field Nex is located in San Jose, California, USA and Hong Kong . Learn more about us at https://www.nexplayground.com/about . We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms! Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination. We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.

Location: Ontario Workplace: Remote Must be CST or EST The Engineering and Business Systems team works collaboratively across Chainalysis’ Business Automation, Data and Systems organization to ensure that core business systems and platforms enable business policies and operational processes. Our job is to empower employees to do their best work by building the foundational systems and data products that drive business decisions and processes while accelerating Chainalysis’ growth. As the Director, Business Systems & Platform Engineering, you’ll be at the forefront of positioning our technical teams to thrive in an AI-driven shift to headless, API and MCP-driven business systems architectures. You’ll own the integrated technical roadmap for building out the technology architecture as well as the underlying administration and engineering practices. The ideal candidate brings strong software and data engineering leadership depth and can ramp quickly on the GTM and Finance systems domain. The role will lead a small organization that encompasses platform engineering, data engineering, integration engineering and systems administration. In this role, you'll: - Lead the systems and engineering org through a shift from a traditional IT and admin-centric org to one centered around platform and data engineering. - Own the technical architecture, design, and delivery roadmap across business systems, enterprise data and integrations. - Directly manage and grow systems and engineering-track managers and direct reports including technical mentorship and career pathing. - Collaborate with team members to establish and codify standards, style guides, workflows, ceremonies and other engineering and systems practices into a single, coherent operating model that leverages AI and agentic processes. - Partner with colleagues in Product, Success and Program Management to prioritize and deliver the BADaS roadmap by translating business, process and product requirements into technical scope, staffing, and sequencing decisions. - Act as the internal technical counterpart to vendors and partners, including reviewing architecture proposals, approving technical designs, and owning technical builds. - Own security, RBAC, and data-governance posture of BADaS platforms, especially from an audit and access-control risk perspective. - Partner with engineering leaders across Chainalysis on best practices and to leverage platforms, components, solutions and code-bases that already exist. We're looking for candidates who have: - 8+ years of experience in software, platform, or data engineering, including 4+ years managing engineers and engineering managers. - Strong organizational leadership: hiring, career pathing, and building succession depth across a multi-manager org that currently has real single-point-of-failure risk. - Comfortable operating in an ambiguous, transformation-in-progress environment. - Demonstrated ownership of team-based technical architecture and engineering practices: repo management, CI/CD, code review standards, test/regression discipline, etc. - Experience managing a technically mixed org (engineers, data engineers, and platform/systems administrators) and successfully raising the technical bar of the admin-facing work over time. - Data-first orientation focused on data architecture and flow - Strong working fluency in modern, event-based, service-oriented architectures using server-side JavaScript / TypeScript / Node.js http://node.js within a primarily serverless AWS environment. - Deep experience with REST / GraphQL API architectures, relevant authorization strategies including OAUTH and JWT. - Familiarity with data engineering fundamentals and infrastructure including SQL, Python, dbt / data modeling, pipeline orchestration, batch vs near-real time ETLs and reverse ETLs, medallion architectures. - Experience with IaC platforms (e.g. Terraform) for DevOps and cloud infrastructure. Nice to have experience: - Modern AI-centric engineering workflows and practices. - Experience with Model Context Protocol (MCP) and building autonomous AI agents. - Hands-on experience with graph theory and databases, especially as a context layer for Ai co-pilots, workflows and agents. - Track record of managing vendors and implementation partners on a complex platform build, including technical design review and sign-off authority. - Experience with enterprise SaaS platforms used in GTM and/or Finance (e.g. Marketo, Salesforce, NetSuite, Nue, Salesforce Revenue Cloud Advanced, Conga and DealHub) at an architectural and API level. Technologies we use: - Python, Node.js - AWS (Lambda, Step Functions, S3, CloudWatch, VPCs, IAM) - Workato, Fivetran - Databricks, Airbyte - Terraform - Git, Github - Salesforce, Netsuite, Workday, Marketo, Clari, Adaptive - LiteLLM, Claude Code AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Location: Remote - USA Workplace: Remote Must be CST or EST The Engineering and Business Systems team works collaboratively across Chainalysis’ Business Automation, Data and Systems organization to ensure that core business systems and platforms enable business policies and operational processes. Our job is to empower employees to do their best work by building the foundational systems and data products that drive business decisions and processes while accelerating Chainalysis’ growth. As the Director, Business Systems & Platform Engineering, you’ll be at the forefront of positioning our technical teams to thrive in an AI-driven shift to headless, API and MCP-driven business systems architectures. You’ll own the integrated technical roadmap for building out the technology architecture as well as the underlying administration and engineering practices. The ideal candidate brings strong software and data engineering leadership depth and can ramp quickly on the GTM and Finance systems domain. The role will lead a small organization that encompasses platform engineering, data engineering, integration engineering and systems administration. In this role, you'll: - Lead the systems and engineering org through a shift from a traditional IT and admin-centric org to one centered around platform and data engineering. - Own the technical architecture, design, and delivery roadmap across business systems, enterprise data and integrations. - Directly manage and grow systems and engineering-track managers and direct reports including technical mentorship and career pathing. - Collaborate with team members to establish and codify standards, style guides, workflows, ceremonies and other engineering and systems practices into a single, coherent operating model that leverages AI and agentic processes. - Partner with colleagues in Product, Success and Program Management to prioritize and deliver the BADaS roadmap by translating business, process and product requirements into technical scope, staffing, and sequencing decisions. - Act as the internal technical counterpart to vendors and partners, including reviewing architecture proposals, approving technical designs, and owning technical builds. - Own security, RBAC, and data-governance posture of BADaS platforms, especially from an audit and access-control risk perspective. - Partner with engineering leaders across Chainalysis on best practices and to leverage platforms, components, solutions and code-bases that already exist. We're looking for candidates who have: - 8+ years of experience in software, platform, or data engineering, including 4+ years managing engineers and engineering managers. - Strong organizational leadership: hiring, career pathing, and building succession depth across a multi-manager org that currently has real single-point-of-failure risk. - Comfortable operating in an ambiguous, transformation-in-progress environment. - Demonstrated ownership of team-based technical architecture and engineering practices: repo management, CI/CD, code review standards, test/regression discipline, etc. - Experience managing a technically mixed org (engineers, data engineers, and platform/systems administrators) and successfully raising the technical bar of the admin-facing work over time. - Data-first orientation focused on data architecture and flow - Strong working fluency in modern, event-based, service-oriented architectures using server-side JavaScript / TypeScript / Node.js http://node.js within a primarily serverless AWS environment. - Deep experience with REST / GraphQL API architectures, relevant authorization strategies including OAUTH and JWT. - Familiarity with data engineering fundamentals and infrastructure including SQL, Python, dbt / data modeling, pipeline orchestration, batch vs near-real time ETLs and reverse ETLs, medallion architectures. - Experience with IaC platforms (e.g. Terraform) for DevOps and cloud infrastructure. Nice to have experience: - Modern AI-centric engineering workflows and practices. - Experience with Model Context Protocol (MCP) and building autonomous AI agents. - Hands-on experience with graph theory and databases, especially as a context layer for Ai co-pilots, workflows and agents. - Track record of managing vendors and implementation partners on a complex platform build, including technical design review and sign-off authority. - Experience with enterprise SaaS platforms used in GTM and/or Finance (e.g. Marketo, Salesforce, NetSuite, Nue, Salesforce Revenue Cloud Advanced, Conga and DealHub) at an architectural and API level. Technologies we use: - Python, Node.js - AWS (Lambda, Step Functions, S3, CloudWatch, VPCs, IAM) - Workato, Fivetran - Databricks, Airbyte - Terraform - Git, Github - Salesforce, Netsuite, Workday, Marketo, Clari, Adaptive - LiteLLM, Claude Code AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Location: New York; New York, New York; New York City Metropolitan Area; Brooklyn, New York; Manhattan, New York; Yonkers, New york Workplace: remote We’re seeking an energetic Business Development Manager to join our growing team and help drive market expansion. This is a hunter-oriented role focused on developing pipeline, generating new opportunities, and engaging with mid-market and enterprise prospects. You’ll work closely with leadership but operate with autonomy — this hire is for someone who proactively finds and closes opportunities rather than waiting for direction. This role is ideal for candidates with experience selling services/solutions (consulting, technical services, technology partnerships) rather than strictly product sales, and who thrive in an active, travel-friendly environment. Responsibilities: Source and qualify new business opportunities in North America. Build and manage a client pipeline across multiple verticals. Proactively reach out to prospects via outbound (email, calls, social). Coordinate discovery & qualification conversations. Partner with leadership to close deals. Attend industry events, conferences, and client meetings (travel expected 30% of the time). What You Need to Succeed: 3-7 years of sales or BDM experience in consulting/services-led environments. Proven ability to prospect, engage, and qualify leads independently. Experience with selling technology services and managing negotiations with clients. Highly motivated, results-driven, and coachable. Comfortable working without detailed day-to-day supervision. Willing to travel for client meetings and events. About Provectus: Provectus is an Artificial Intelligence consultancy and solutions provider , helping businesses achieve their objectives through AI and data-driven innovation organization-wide in such industries as Financial Services, Insurance, Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, and Manufacturing. We are recognized by industry analysts as a leading provider of AI solutions across key business domains. At Provectus, we value innovation, ownership, and collaboration — and we are looking for people who want to grow with us and make an impact. Why Join Us: High-impact role with direct visibility to leadership. Strong earning potential with performance-based bonuses. Opportunity to work with cutting-edge AI and cloud solutions. B2B contract model or full-time model. OTE range $120k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, abilities of the applicant, and alignment with market data. Unlimited Vacation policy. Generous health, vision, and dental insurance. 401(K) matching plan.

Location: Philadelphia, Pennsylvania; Massachusetts; Maryland; Connecticut; Rhode Island; Delaware; New Jersey Workplace: remote We’re seeking an energetic Business Development Manager to join our growing team and help drive market expansion. This is a hunter-oriented role focused on developing pipeline, generating new opportunities, and engaging with mid-market and enterprise prospects. You’ll work closely with leadership but operate with autonomy — this hire is for someone who proactively finds and closes opportunities rather than waiting for direction. This role is ideal for candidates with experience selling services/solutions (consulting, technical services, technology partnerships) rather than strictly product sales, and who thrive in an active, travel-friendly environment. Responsibilities: Source and qualify new business opportunities in North America. Build and manage a client pipeline across multiple verticals. Proactively reach out to prospects via outbound (email, calls, social). Coordinate discovery & qualification conversations. Partner with leadership to close deals. Attend industry events, conferences, and client meetings (travel expected 40% of the time). What You Need to Succeed: 3-7 years of sales or BDM experience in consulting/services-led environments. Proven ability to prospect, engage, and qualify leads independently. Experience with selling technology services and managing negotiations with clients. Highly motivated, results-driven, and coachable. Comfortable working without detailed day-to-day supervision. Willing to travel for client meetings and events. About Provectus: Provectus is an Artificial Intelligence consultancy and solutions provider , helping businesses achieve their objectives through AI and data-driven innovation organization-wide in such industries as Financial Services, Insurance, Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, and Manufacturing. We are recognized by industry analysts as a leading provider of AI solutions across key business domains. At Provectus, we value innovation, ownership, and collaboration — and we are looking for people who want to grow with us and make an impact. Why Join Us: High-impact role with direct visibility to leadership. Strong earning potential with performance-based bonuses. Opportunity to work with cutting-edge AI and cloud solutions. B2B contract model or full-time model. OTE range $120k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, abilities of the applicant, and alignment with market data. Unlimited Vacation policy. Generous health, vision, and dental insurance. 401(K) matching plan.

Location: New York; San Francisco Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a Customer Success Manager (CSM) at Mistral, you will be responsible for managing a portfolio of enterprise customers, ensuring they achieve their goals using Mistral’s solutions. You will serve as the primary point of contact for customers, driving adoption, satisfaction, and long-term success.  This role is ideal for those who excel in customer-facing environments, enjoy solving complex challenges, and are passionate about turning customer success into business impact. WHAT YOU WILL DO CUSTOMER SUCCESS OWNERSHIP - Manage a portfolio of enterprise customers, ensuring they maximize the value of Mistral’s AI solutions. - Build strong, trusted relationships with key stakeholders, understanding their business objectives and tailoring solutions to meet their needs. - Lead customer onboarding, adoption, and ongoing engagement to drive product usage and satisfaction. - Monitor customer health metrics, identify risks, and proactively address challenges to prevent churn. - Collaborate with Sales to identify upsell and cross-sell opportunities based on customer needs and usage patterns. - Partner with Product and Engineering teams to gather customer feedback and influence the product roadmap. - Develop and deliver customer training, enablement programs, and best practices to drive adoption. - Conduct regular business reviews (QBRs) to align on goals, challenges, and success metrics. STRATEGIC CUSTOMER GUIDANCE - Serve as a trusted advisor to customers, guiding them on how to leverage Mistral’s AI solutions to achieve their business outcomes. - Work closely with Support and Product teams to ensure seamless customer experiences, from deployment to production. - Create and execute customer success plans with clear KPIs, timelines, and measurable outcomes. - Advocate for customer needs internally, ensuring their voice is heard in product and strategic discussions. CROSS-FUNCTIONAL COLLABORATION - Share customer insights with Product, Sales, and Engineering teams to inform product improvements and strategic initiatives. - Clear obstacles for customers during deployment and adoption phases, accelerating time-to-value. - Support renewal processes, including contract negotiations, expansion discussions, and coordination with internal teams. WHAT WE'RE LOOKING FOR - 5+ years of experience in customer-facing roles, such as Customer Success, Account Management, or Solutions Consulting, ideally in a technical or SaaS environment. - Proven ability to manage enterprise customer relationships, with a focus on driving adoption, satisfaction, and retention. - Experience working with technical products, with the ability to engage confidently with Data, IT, and Engineering teams. - Strong communication and presentation skills, including the ability to tailor messaging for technical and executive audiences. - Business acumen: Ability to identify upsell and expansion opportunities while ensuring customer success. - Technical aptitude: Familiarity with AI/ML concepts is a plus; ability to understand and discuss technical requirements is essential. - Hands-on, customer-centric, collaborative, and organized, with a passion for solving complex challenges. 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: Remote Workplace: Remote We are looking for a Senior Golang Engineer to contribute to the development of high-load, business-critical backend systems within the betting domain. This role requires strong hands-on Go expertise, a deep understanding of backend engineering principles, and the ability to work with complex distributed environments where performance, reliability, and data integrity are essential. Responsibilities: - Build and evolve scalable backend services in Go, focusing on system performance, stability, and maintainable engineering solutions - Contribute to key technical decisions around application architecture, infrastructure, and the long-term evolution of backend systems - Develop clean, well-structured, and testable code while maintaining strong documentation and engineering standards - Participate in peer code reviews, providing technical feedback and helping maintain consistent development practices across the team - Work with complex data flows and backend components, ensuring reliable processing and high standards of data integrity - Collaborate with other engineers throughout the development lifecycle, contributing to technical discussions, estimation, planning, and delivery within a Scrum environment - Take ownership of assigned development activities and independently organize day-to-day work in line with broader team priorities Requirements: - Strong senior-level engineering background with 7+ years in commercial software development, including 4+ recent years focused primarily on Go - Proven track record of building backend solutions specifically for betting products — relevant industry experience is essential for this role - Advanced knowledge of how Go works under the hood, with confidence working with concurrency, data structures, memory allocation, and garbage collection - Solid database engineering skills, including extensive work with relational databases and the ability to troubleshoot, tune, and improve sophisticated SQL queries - Comfortable working in Linux-based environments, with practical knowledge of containerization using Docker - Production experience with Kafka and Kubernetes as part of modern backend infrastructure - Quality-focused engineering approach, with the ability to design code for testability and maintain reliable unit test coverage - Intermediate English combined with Upper-Intermediate Russian for effective day-to-day communication Would be a plus: - Background in financial, transactional, or similarly data-sensitive systems, where accuracy and consistency of information are business-critical - Experience designing or contributing to distributed, microservice-based systems - Knowledge of architectural practices such as Domain-Driven Design (DDD), Clean Architecture, or Hexagonal Architecture - Previous hands-on work with PostgreSQL and ClickHouse What's in it for you: - Private health insurance and sports-related benefits - Paid time off and maternity leave support - Free language courses - Professional development through upskilling opportunities, internal workshops, and participation in industry conferences - Referral program with additional rewards - Access to professional networking opportunities and corporate events

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We're hiring a Head of Delivery to join our Executive team based in London. In this role you will lead operational execution across the company. This role will ensure that company goals, strategic initiatives, and project timelines are clearly defined, tracked, and delivered. The Head of Delivery will act as the central operational owner of execution, maintaining visibility across all key projects and ensuring alignment between leadership, engineering, product, and operations. The ideal candidate is a highly detail-oriented operator who thrives in complex technical environments and can bring structure, clarity, and accountability to fast-moving teams. WHAT YOU'LL DO - Own and maintain the company-wide execution framework, including roadmaps, delivery plans, timelines, and milestones. - Ensure all company initiatives and projects are tracked in a single operational system with clear ownership and deadlines. - Drive cross-functional alignment between engineering, product, and leadership teams. - Monitor project progress and proactively identify and resolve delivery risks and operational bottlenecks. - Provide operational oversight and guidance to project managers across teams. - Implement and continuously improve program management processes, reporting, and execution standards. - Maintain clear visibility of progress and risks for leadership. Ensure strategic plans are translated into clear, actionable delivery plans. WHAT WE'RE LOOKING FOR - Strong experience leading complex cross-functional programs or delivery functions. - Exceptional operational discipline and attention to detail. - Ability to structure and manage multiple projects simultaneously in a fast-moving environment. - Experience building operational systems, planning frameworks, and execution processes. - Strong communication and stakeholder management skills. - Ability to work closely with leadership and translate strategy into execution. - Comfortable operating in highly technical environments with engineering teams. NICE TO HAVE - Experience working in robotics, AI, or hardware companies. - Background as a founder or co-founder, or early-stage operator in a startup environment. - Experience scaling delivery or program management functions in deep tech organizations. - Familiarity with complex hardware + software development cycles. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: Finland About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. At Wolt, world-class customer service isn’t an afterthought, it’s at the heart of everything we do. We’ve built our reputation on delivering fast, thoughtful, and high-quality support, and we’ve done that by investing deeply in our own technology. Rather than just reacting to problems, we aim to solve them before our customers and partners even notice. Behind the scenes, that means building systems that scale globally, handle real-world complexity, and empower support teams to do their very best work. This is where the Multilingual Intelligence & Resolution Automation (MIRA) team comes in. The team is on a mission to make customer support truly borderless. We’re building intelligent, AI-powered systems used across Wolt, DoorDash, and Deliveroo, including a real-time translation engine that supports seamless conversations across 20+ languages. Processing hundreds of requests per minute and powered by modern cloud infrastructure and state-of-the-art LLMs, this system enables borderless support and helps create experiences that feel natural, human, and native, no matter where you are in the world. And we’re only just getting started. What you’ll be doing Design, build, and operate scalable backend services powering real-time, customer-facing systems Develop and evolve AI-powered translation capabilities using LLMs in production Help build the tooling and infrastructure needed to evaluate models across quality, latency, and cost Collaborate closely with product, applied science, frontend, and platform teams to turn complex support problems into robust user-facing systems Take ownership of technical decisions and help shape the architecture and future direction of the system Improve the performance, reliability, and operational readiness of services handling real production traffic Continuously explore better ways of working, including leveraging AI tools to improve development workflows Our humble expectations You have strong backend development skills in Python or Go (interest in other tech is highly appreciated) You actively leverage modern AI tools (such as GitHub Copilot, Claude, ChatGPT or similar) to enhance your productivity, code quality, and day-to-day development workflow. You have experience with cloud platforms (AWS or similar), container orchestration (Kubernetes, Docker), observability tools (such as DataDog), and database technologies (SQL and NoSQL). You're a pragmatic problem-solver with a growth mindset, eager to step outside your comfort zone and continuously learn. You're comfortable working with real-world data and its nuances. You have solid experience designing, building, and integrating quality software (microservices) at scale within a complex domain. What we offer A chance to build something that truly matters, technology that enables people to connect and solve problems across languages and borders The opportunity to work with AI and LLMs in real, high-impact production use cases Being part of a global engineering organization of 2000+ people, we aim to build none other than the best-in-the-world engineering team here. You’ll get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognise that if we don’t learn, we won’t stay still but fall behind, and keep in mind that Luke was Yoda’s greatest achievement. Join us for an exciting journey of creating technology that brings joy, simplicity, and earnings to the neighbourhoods of the world! Compensation The successful candidate’s starting pay will fall within the pay range listed below and is determined based on factors such as the candidate’s skills, experience and qualifications. Please note, that the starting pay may vary if the candidate does not fully meet the expectations as outlined in this job posting. The salary below is the monthly salary range for this position. €5,400 - €8,000 Per month To learn more about our benefits, please do not hesitate to bring this up with our Talent Acquisition Partner! Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

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’s mission is to create reliable, interpretable, and steerable AI systems. We believe powerful AI can compress a century of scientific progress into a decade. Claude Science is a big part of building toward that future. Claude Science is an AI workbench that gives researchers a single environment for work that today spans dozens of disconnected tools — literature, specialized databases, scientific computing, analysis, and publication-ready outputs. Claude Science already renders protein structures, genome tracks, and chemical structures natively, and coordinates multi-agent workflows with built-in review for citation and calculation errors — and we’re just getting started. Much of this is being built 0→1 right now: you’ll shape both the product and the architecture in a category no one has defined yet. You'll be a technical leader who thinks holistically about the end-to-end researcher experience, partners directly with our internal research team to push model capabilities into production, and carries real ownership over what we ship next. Our north star is accelerating scientific progress — across biology, chemistry, physics, and beyond — from early discovery through real-world application, by an order of magnitude. This work supports programs like Anthropic’s AI for Science Program and our rare disease research grants . What you'll do Ship fast against a roadmap you help shape: this is a product in a category no one has defined yet, and the highest-leverage problems are still unclaimed Interface directly with working scientists — academic labs, industry R&D teams, and research institutes — during key conversations, translating what you learn into engineering priorities Partner with product and design to turn how scientists actually work — from hypothesis to analysis to publication — into shipped product Work closely with research to make the models better at science: shaping evals, surfacing failure modes, and feeding what users hit in the real world back into model development You may be a good fit if you Have 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level Have built products from 0 to 1 in fast-moving environments, and can set technical direction with limited precedent to lean on Have built AI products and know what it takes to turn model capabilities into applications people actually use Are comfortable working directly with technical domain experts and translating what you learn Drive cross-team alignment to ship impactful work, with influence over authority Strong candidates may also have Background in chemistry, biology, physics, or another science Experience working with research teams to improve domain-specific model capabilities, including evaluation frameworks 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: Seoul, South Korea About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive for Digital Native Business based in Seoul, you'll drive the adoption of safe, frontier AI technology across Korea's fastest-moving technology companies. This is a greenfield, new business role: you'll build your territory from the ground up, owning the full sales cycle from first outbound touch to close across Korea's internet platforms, gaming, e-commerce, SaaS, fintech, and media companies. You'll work directly with founders, technical leaders, and product teams to help them build with Anthropic's AI as a core part of their products and operations. Key responsibilities Own and exceed revenue targets by winning net-new logos across Korea's digital native companies, including internet platforms, gaming, e-commerce, SaaS, fintech, and media Build a greenfield territory from scratch: develop your own account list, generate pipeline through self-sourced outbound prospecting, and create repeatable plays for landing new accounts Run fast, consultative sales cycles with founders, CTOs, CPOs, VPs of Engineering, and Heads of AI, positioning Claude as the foundation for AI-powered products and competitive differentiation Land new accounts quickly and set them up for expansion, working closely with technical buyers and developer teams who evaluate hands-on Orchestrate internal teams (Product, Engineering, Applied AI, Partnerships) to win technical evaluations and accelerate time to production for customers building on our models Preferred qualifications 8+ years of sales experience in Korea with a clear track record as a hunter: consistently winning net-new logos and generating the majority of your own pipeline through outbound prospecting Experience selling to digital native, internet, or high-growth technology companies, and comfort engaging technical buyers such as engineering and product leaders, not just business stakeholders A track record of opening greenfield territories or segments with little existing brand presence, building pipeline and closing revenue from zero Proven experience exceeding revenue targets driven primarily by new business, with the ability to manage high-velocity cycles alongside larger strategic deals Strong commercial instincts for usage-based and consumption models, and the ability to connect product adoption to revenue growth A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality. You are a true team player who thrives in ambiguous, startup-like environments A strategic, analytical approach to territory and account prioritization combined with high-energy, persistent execution A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely and responsibly for broad benefit Excellent communication skills in both Korean and English 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: Sydney Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. Checkout.com http://Checkout.com is looking for a founding Solutions Engineer to join our fast-growing team in Sydney to support our clients with integrating our innovative online payments platform. As a Solutions Engineer, you are responsible for providing technical leadership and guidance to our clients throughout the entire sales lifecycle - from initial contact throughout solutioning, integration, and go-live . The ability to solve business and technical requirements through the application of http://checkout.com/Checkout.com http://Checkout.com products and solutions is core to the success of the position. Along the way, you'll collaborate closely with various in-house talents across Commercial, Product, and Engineering s to effectively position our capabilities, products, services and solutions with prospects The ideal candidate will need to be an independent, high-achieving individual, able to stand out in an entrepreneurial environment and outperform performance targets through personal drive. What you will be doing: - Support the Commercial team to position http://checkout.com/Checkout.com http://Checkout.com’s products, solutions, and services, and ultimately, help to win deals. You will be a key partner to Sales on all matters related to product, payments, regulation, and tech. - Understand merchant requirements and technical needs, map this to our APIs and products, create solution designs and internal documentation. - Run demos, build “show-me” payment flows, create POCs, customize and create presentations. - Provide thought leadership on all aspects of Payment Performance - Acceptance Rate, Fraud Prevention, Tokenisation, Payment Methods, and others. - Lead all technical interactions with merchants, from chats and calls to meetings and workshops until the deal is won. - Be a product champion for ANZ leads, liaise with central product leaders on roadmap deliverables, market needs, and prioritization - Support BID management team with RFP and RFI responses. - Enable internal functions, commercial and tech, with market and merchant feedback on product capabilities. Champion product change and improvement. - Being constantly up to date with industry standards, solutions, and market developments - Being an expert of http://checkout.com/Checkout.com http://Checkout.com’s platform and product. About You: - Minimum 3-5 years experience as a Sales Engineer / Solutions Architect / Pre-Sales Consultant / Implementation Engineer or TAM. - Experience working in a technical client-facing role. - Drives results with a strong commercial focus and proactive approach. - Able to communicate to both technical (developers, product) and business (payments, finance, c-level) stakeholders. - Able to thrive in a fast-paced environment. - Ability to translate technical jargon into laymans terms - Problem‑solver. Able to reproduce, isolate and explain issues using logs, API responses, and tests. - Highly organised and able to prioritise shifting workloads and responsibilities effectively. - Familiar with API based integration methods, associated best practices, and related tools/frameworks (REST/JSON APIs, Postman). - Experience with at least one common front-end (pure JavaScript, React, Angular, etc) and back-end (Java, .NET, Python, Node, etc) technology. Nice to have: - Payments industry exposure with an understanding of the related rules and regulations and payments schemes. - Understanding of end-to-end payment flow. - Experience with 3DS, Network Tokenisation, Apple/Google Pay, Open Banking, or fraud‑risk engines. - Familiarity with PSD2/PSD3/PSR, FCA, ISO-8583. - Former engineering, developer, or product manager background. - Held prior roles in E-commerce industry. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/