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Location: Remote About the Team: Netlify’s Data team helps the company understand and improve the full product-led growth journey, from activation and engagement through conversion, retention, and monetization. We partner closely with Product, Engineering, and Growth to uncover opportunities, evaluate investments, and understand what drives customer and business outcomes. We’re hiring a Senior Staff Data Scientist to deepen how data shapes our product and growth strategy. You’ll develop an end-to-end understanding of the PLG journey, proactively identify opportunities, and turn complex data into hypotheses, experiments, and recommendations that influence where we invest and what we build. This is a highly autonomous role for someone who can move from identifying an important question to shaping the approach, defining success, and driving toward an answer. What You'll Do: Own the analytical understanding of Netlify’s PLG performance across activation, engagement, conversion, monetization, and retention, identifying opportunities before they become requests Partner with Product and Engineering leadership to turn behavioral insights into product bets, defining what to test, how to measure it, and what the results mean Lead experimentation from hypothesis through decision, including study design, methodology, success metrics, guardrails, analysis, and recommendations Apply statistical rigor where it matters while recognizing when there is enough signal to make a decision and move forward, and help teams develop that same judgment Build scalable analytical systems like semantic models, trusted metrics, proactive monitoring, and AI-powered agents  that surface opportunities without waiting to be asked Use AI to investigate faster, automate recurring analytical work, and test more hypotheses without sacrificing the judgment that makes the output useful Identify gaps in measurement, event instrumentation, and metric definitions, and partner with Data and Product Engineering to close them Serve as a trusted analytical partner to PLG leadership, using evidence and product judgment to influence investment decisions and roadmap priorities Influence product strategy through evidence, product instincts, and a clear point of view, without relying on formal authority to do it What You'll Bring: 8+ years of experience in product analytics, growth analytics, or data science, with a track record of high ownership and measurable impact on PLG or consumer product outcomes Deep understanding of product and growth dynamics across activation, engagement, conversion, monetization, and retention Demonstrated ability to turn behavioral data into product hypotheses and carry them from insight through experimentation and measured outcomes Deep experimentation expertise: study design, statistical reasoning, causal inference, and the judgment to know when an experiment has told you what you need to know Experience building analytical systems such as metrics layers, monitoring frameworks, or semantic models that teams can rely on over time An AI-native approach to analysis: you use AI tools actively to accelerate investigation, automate repetitive work, and surface patterns faster A track record of influencing senior stakeholders and product direction through analytical reasoning, clear recommendations, and sound judgment Comfort operating with significant autonomy in ambiguous problem spaces, including determining which questions are most important to answer Strong written and verbal communication skills in distributed environments, with the ability to make complex findings clear and recommendations actionable This Role is a Great Fit If: You're energized by finding the opportunity before anyone thought to ask - proactive discovery is how you naturally work, not a mode you shift into You think like a product person who happens to be exceptionally rigorous with data, not a data person who occasionally weighs in on product You thrive when the problem isn't handed to you - you'd rather define the question worth asking than answer the one that landed in your queue You get excited about building systems that keep working after you've moved on to the next problem You're comfortable making a call with imperfect information and can articulate clearly why you made it You enjoy being a thought partner to senior leaders - shaping how they think about investment and opportunity, not just supporting decisions already made You work well in a remote-first, async environment where written clarity and self-direction matter more than proximity You're drawn to roles where the measure of success is outcomes, decisions made, bets tested, metrics moved, not volume of output produced Applying Not sure you meet 100% of our qualifications? Please apply anyway! When applying please include: A resume or short listing of your job history & skills (link to a LinkedIn profile would be fine). We appreciate a cover letter explaining why you would enjoy working in this role at Netlify to get to know you a bit better, though this is not required and will not impact your application. Our mission is to “build a better web” and that cannot be done without a diversity of skill sets, backgrounds and thoughts. Of everything we've ever built at Netlify, we are most proud of our team. Netlify is an Equal Opportunity Employer. We are devoted to building a team of people with diverse backgrounds and lifestyles. Driving equality empowers our team, enables us to innovate, and helps us maintain a more inclusive environment. We don’t discriminate against employees or applicants based on gender identity or expression, sexual orientation, religion, age, race, military/veteran status, citizenship, pregnancy status, or any other differences. If we can do anything to provide a better interview, i.e. accommodate a disability, then please let us know by emailing accommodations@netlify.com . About Netlify Netlify is the most popular way to build, deploy, and scale modern web applications, empowering everyone from fast moving solo developers to enterprise teams. Millions of developers and organizations rely on Netlify as their platform of choice for composing web applications that are production ready, performant, and flexible. Now, as we embrace the next era of software development, we are embedding the same fluid, intuitive experience into the Agent Experience (AX), making it just as simple for intelligent agents to understand, interact with, and act on our platform as it is for developers. Whether your user is human or machine, Netlify ensures the path from idea to URL is seamless, fast, and deeply reliable. We are a Series D company that has raised over $200M from investors such as Andreessen Horowitz, Kleiner Perkins, EQT, Bessemer, BOND, and Menlo Ventures. As a fully distributed company, we aim to create a company culture where the best idea can come from anywhere and strive to be thoughtful, compassionate, and collaborative in our work. If this sounds like something you’d like to be part of, we’re excited to connect with you! At Netlify, we are committed to a compensation philosophy that prioritizes fairness and equity, positions our employee compensation competitively in the market, recognizes and rewards performance, and takes a comprehensive approach to our rewards package. We anchor our compensation philosophy on a market-based approach, therefore salary ranges may differ depending on the labor cost in a particular location. The salary provided is in addition to robust benefits and participation in Netlify’s equity plan. Our hiring range for this role is targeted at $204,000 - $275,000 for most US-based locations.  Candidates outside the US or in premium markets should consult with their Talent Acquisition partner regarding location-based ranges, as they may be higher or lower than the average US range listed. The starting pay will be determined based on multiple factors, including expertise and skills, market demands, experience, internal equity, and applicable geographic location. These compensation packages and ranges are subject to change and may be modified in the future.

Location: Remote About the Team Netlify is a product-led growth company, and Revenue Operations owns the systems, data, and infrastructure that turn that growth into revenue.  With a large volume of people discovering and signing up for Netlify every day, Marketing Operations is critical to understanding those users, connecting activity across our systems, and creating scalable ways to engage them throughout their journey. As Senior Marketing Operations Manager, you’ll own the operational foundation behind that work. You’ll connect HubSpot, Salesforce, product data, and analytics, build the systems and lifecycle infrastructure that turn signals into action, and give Marketing and our GTM partners trusted visibility into performance. Reporting to the Senior Director of Revenue Operations, you’ll translate the Marketing Operations vision into a roadmap and independently drive it forward while partnering closely with Growth, RevOps, Data, Product, and other GTM teams. What You’ll Do Execute on the Marketing Operations roadmap, translating broader Marketing and GTM priorities into scalable systems, processes, and programs. Own our marketing automation platform end to end, including workflows, lifecycle stages, segmentation, forms, lists, email operations, data hygiene, deliverability, governance, and documentation. Build and maintain the connection between marketing automation, Salesforce, product data, and analytics so we can understand and engage users throughout the customer journey. Establish reliable attribution and measurement across marketing and product-led journeys, including UTM governance and connections between campaigns, signups, activation, conversion, and revenue. Build reporting and self-service dashboards that give Marketing and GTM partners a trusted view of performance and support weekly, monthly, and executive-level decision-making. Partner with Growth to operationalize lifecycle programs across email, in-product experiences, and sales-assist triggers, turning customer and product signals into scalable journeys from signup through activation and conversion. Build experimentation infrastructure that allows marketers to launch, measure, and learn from tests without requiring engineering support for every experiment. Own the operational health of the MarTech stack, including integrations, data flows, governance, vendor relationships, and periodic assessments of what we should keep, retire, consolidate, or integrate. Establish scalable practices for high-volume email operations, including audience management, domain and inbox health, deliverability, and safeguards that protect the customer experience. Turn large and sometimes ambiguous datasets into actionable recommendations, identifying points of friction or drop-off and partnering with Marketing, Growth, Product, Data, and RevOps on opportunities to improve conversion. Own the Marketing Operations portion of the broader Marketing budget and evaluate technology investments based on business value, scalability, and ROI. Explore emerging capabilities in AI-enabled marketing operations and AI visibility measurement, helping the team establish useful workflows and baselines as the space develops. What You’ll Bring 7+ years of experience in Marketing Operations or a closely related discipline, with experience operating independently in a complex B2B SaaS or product-led growth environment. Deep experience with marketing automation platforms and CRM systems such as HubSpot, Marketo, Eloqua, and Salesforce, including lifecycle stages, campaign architecture, attribution, lead or account routing, and data governance. Experience working with high-volume customer or prospect datasets and designing segmentation, lifecycle, and operational approaches that remain reliable at scale. Significant experience operating high-volume email programs, with a practical understanding of deliverability, domain and inbox reputation, audience management, warming strategies, and the risks that emerge at large sending volumes. Strong analytical skills and the ability to investigate complex datasets, identify meaningful patterns, question the quality of the underlying data, and turn findings into recommendations. Experience building or operating lifecycle, nurture, or in-product engagement programs tied to measurable activation or conversion outcomes. Systems thinking and experience designing integrations across marketing automation, CRM, product, analytics, and data systems. Experience building measurement and experimentation infrastructure that enables other teams to operate and learn independently. Strong GTM fluency and an understanding of how Marketing Operations, Growth, Sales, RevOps, Product, and Customer Success connect to customer experience and revenue. Comfort using AI-enabled tools and workflows to accelerate your work while applying judgment to validate outputs and determine where automation is (and isn’t) appropriate. Familiarity with product analytics tools such as Amplitude and experience with emerging AEO or AI-visibility tooling is helpful. Experience working with contractors, agencies, or distributed partners is helpful but not required. Familiarity with developer tools, web platforms, or another high-volume PLG business is useful, but we value relevant operating experience over category-specific expertise. This Role Is a Great Fit If You enjoy building the foundation, not just operating what someone else has already built. You’re energized by taking an imperfect system and creating something scalable, measurable, and trusted. You’re comfortable moving between architecture and execution. You can define how a system should work and then get into the details yourself when necessary to make it work. You thrive with significant autonomy. Given a goal and context, you investigate the problem, weigh tradeoffs, make a recommendation, and drive the work forward without needing a detailed playbook. You genuinely enjoy data. Large, messy datasets make you curious, and you’re willing to dig until you understand what is happening and what the business should do about it. You care deeply about operational quality. Data integrity, attribution, documentation, audience segmentation, and email deliverability aren’t afterthoughts—they’re part of building a trustworthy growth engine. You balance speed with judgment. You know when to move quickly, when a shortcut creates unacceptable downstream risk, and when to challenge an approach that won’t scale. You see AI as a way to amplify good judgment and increase leverage rather than a substitute for understanding the work. You communicate clearly in an async, distributed environment and can build alignment across Marketing, Growth, Product, Sales, RevOps, and Data without relying on organizational authority. Applying Not sure you meet 100% of our qualifications? Please apply anyway! When applying please include: A resume or short listing of your job history & skills (link to a LinkedIn profile would be fine). We appreciate a cover letter explaining why you would enjoy working in this role at Netlify to get to know you a bit better, though this is not required and will not impact your application. Our mission is to “build a better web” and that cannot be done without a diversity of skill sets, backgrounds and thoughts. Of everything we've ever built at Netlify, we are most proud of our team. Netlify is an Equal Opportunity Employer. We are devoted to building a team of people with diverse backgrounds and lifestyles. Driving equality empowers our team, enables us to innovate, and helps us maintain a more inclusive environment. We don’t discriminate against employees or applicants based on gender identity or expression, sexual orientation, religion, age, race, military/veteran status, citizenship, pregnancy status, or any other differences. If we can do anything to provide a better interview, i.e. accommodate a disability, then please let us know by emailing accommodations@netlify.com . About Netlify Netlify is the most popular way to build, deploy, and scale modern web applications, empowering everyone from fast moving solo developers to enterprise teams. Millions of developers and organizations rely on Netlify as their platform of choice for composing web applications that are production ready, performant, and flexible. Now, as we embrace the next era of software development, we are embedding the same fluid, intuitive experience into the Agent Experience (AX), making it just as simple for intelligent agents to understand, interact with, and act on our platform as it is for developers. Whether your user is human or machine, Netlify ensures the path from idea to URL is seamless, fast, and deeply reliable. We are a Series D company that has raised over $200M from investors such as Andreessen Horowitz, Kleiner Perkins, EQT, Bessemer, BOND, and Menlo Ventures. As a fully distributed company, we aim to create a company culture where the best idea can come from anywhere and strive to be thoughtful, compassionate, and collaborative in our work. If this sounds like something you’d like to be part of, we’re excited to connect with you! At Netlify, we are committed to a compensation philosophy that prioritizes fairness and equity, positions our employee compensation competitively in the market, recognizes and rewards performance, and takes a comprehensive approach to our rewards package. We anchor our compensation philosophy on a market-based approach, therefore salary ranges may differ depending on the labor cost in a particular location. The salary provided is in addition to robust benefits and participation in Netlify’s equity plan. Our hiring range for this role is targeted at $155,000 - $210,000 for most US-based locations.  Candidates outside the US or in premium markets should consult with their Talent Acquisition partner regarding location-based ranges, as they may be higher or lower than the average US range listed. The starting pay will be determined based on multiple factors, including expertise and skills, market demands, experience, internal equity, and applicable geographic location. These compensation packages and ranges are subject to change and may be modified in the future.

Location: Rennes Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work. Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you. Our vision: A world where everyone is free to focus on their most purposeful work, together. About the Role: With flexible, distributed-first ways of working, you'll have the support to do your best work, wherever you are. As the Lead Identity & Access Management Specialist you will be the primary architect and team leader driving our cloud application security posture. Your mission is to balance business agility with absolute data protection across our sprawling SaaS ecosystem (including M365, Slack, Salesforce, etc). In this role, you will bridge the gap between user enablement and risk management by owning Identity and Access Management (IAM), deploying SaaS Security Posture Management (SSPM) tools to prevent configuration drift, and governing the entire lifecycle of our business applications. Crucially, you will lead, mentor, and scale a high-performing team of IT engineers with a strong security mindset, fostering a collaborative culture rooted in automation and proactive risk reduction. Your Impact: By building and automating robust Identity pipelines: You will design, configure, and maintain our Identity Providers (IdP) using SAML 2.0, OIDC, and OAuth 2.0. You will leverage SCIM to automate provisioning and ensure immediate, airtight offboarding to prevent orphan accounts. By hardening our SaaS posture against configuration drift: You will deploy and manage SaaS Security Posture Management (SSPM) tools. You will establish and enforce security baselines (such as CIS benchmarks) across our key tools, catching unauthorized administrative changes in real time. By governing the security of third-party integrations: You will audit, restrict, and manage OAuth permissions granted to third-party add-ons and AI extensions, ensuring our enterprise data remains inside approved boundaries. By mitigating Shadow IT and assessing third-party risk (TPRM): You will analyze CASB, proxy, and endpoint logs to discover unauthorized SaaS usage. You will partner with Procurement to assess the security profiles of new software vendors by auditing SOC 2 reports, ISO certifications, and CAIQ sheets. By championing technical leadership and team growth : You will build, mentor, and guide a dedicated team of IT professionals. By establishing engineering best practices, leading agile workflows, and promoting continuous learning, you will multiply your impact across the entire organization and cultivate the next generation of cloud security talent. Your Qualifications: Experience: 5+ years of dedicated experience in Cloud Security, IAM Administration, or IT Security Operations, including 1-2 years of experience leading, mentoring, or acting as a technical coordinator for other engineers. Technical Skills: Deep expertise in identity protocols: SAML 2.0, OIDC, OAuth 2.0, and SCIM. Hands-on administration experience with modern IdPs (Okta or Microsoft Entra ID / Azure AD). Scripting capabilities in Python, PowerShell, or Bash to automate security workflows and interact with SaaS APIs. Soft Skills: Exceptional collaboration and communication skills to explain complex security practices to non-technical stakeholders, combined with a pragmatic, problem-solving mindset and proven leadership capabilities to unblock and motivate team members. Standout Qualities: You hold an industry-recognized Cloud Security certification like CCSP or CCSK (Cloud Security Alliance). You hold a specialized identity certification like Microsoft SC-300 or an Okta Certified Professional/Administrator credential. You have direct experience deploying and running enterprise-grade SSPM or DSPM solutions (e.g., Wiz, AppOmni, Reco, or Defender for Cloud Apps). Leadership Excellence: You have a proven track record of designing technical roadmaps, translating business objectives into actionable engineering sprints, and successfully leading a small-to-midsize IT or Security team through complex migrations or infrastructure overhauls. Team Dynamics: Reporting: You will report directly to IT Ops Lead, joining a team that values proactive protection and automated operations. The Neighborhood: You will collaborate daily with IT Operations, HR Ops (for automated onboarding/offboarding workflows), Security, Procurement (for vendor assessments), and departmental leads across the company. Our Work Style: We operate in a highly flexible, remote-friendly, and data-driven environment. We live in Wrike for project management, utilize Okta / Entra ID, and scripting (Python, PowerShell) for API-driven automation. Our Philosophy: We follow a Zero Trust security approach. We believe in securing through smart automation and user education rather than simply "blocking" productivity tools. Benefits & Perks: 6 weeks of paid vacation + 5 RTT Recovery Days + Seniority Leave Parental Leave: 16 Weeks Maternity / 4 Weeks Paternity + Reserved Daycare Spot Health Insurance - Competitive Coverage - for employees + dependents Hybrid Work – Flexible hybrid working model with a monthly home office allowance of €20 (hybrid) or €50 (fully remote). Public transportation: Coverage of 75% of subscription fee / Sustainable mobility package 200€/year CSE Specific Benefits i.e. vacation vouchers, negotiated fees etc. Your recruitment buddy will be Alexandra Vorobyova , Lead Recruiter. #LI-AV1 Who Is Wrike and Our Culture We’re a team of innovators and creators who solve the complex work problems of today and tomorrow. Hybrid work mode Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations. While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection. Our persona 💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched. 💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too! 🤗  Approachable: We're friendly, easy to get along with, considerate, and helpful. Our culture and Values 🤩 Customer-Focused We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind. 🤝 Collaborative We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement. 🎨 Creative We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions. 💪 Committed We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth. Check out our LinkedIn Life Page , Company culture page , Instagram , Wrike Engineering Team , Medium , Meetup.com , Youtube for a feel for what life is like at Wrike.

Location: Prague Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work. Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you. Our vision: A world where everyone is free to focus on their most purposeful work, together. About the Role: With flexible, distributed-first ways of working, you'll have the support to do your best work, wherever you are. As the Lead Identity & Access Management Specialist you will be the primary architect and team leader driving our cloud application security posture. Your mission is to balance business agility with absolute data protection across our sprawling SaaS ecosystem (including M365, Slack, Salesforce, etc). In this role, you will bridge the gap between user enablement and risk management by owning Identity and Access Management (IAM), deploying SaaS Security Posture Management (SSPM) tools to prevent configuration drift, and governing the entire lifecycle of our business applications. Crucially, you will lead, mentor, and scale a high-performing team of IT engineers with a strong security mindset, fostering a collaborative culture rooted in automation and proactive risk reduction. Your Impact: By building and automating robust Identity pipelines: You will design, configure, and maintain our Identity Providers (IdP) using SAML 2.0, OIDC, and OAuth 2.0. You will leverage SCIM to automate provisioning and ensure immediate, airtight offboarding to prevent orphan accounts. By hardening our SaaS posture against configuration drift: You will deploy and manage SaaS Security Posture Management (SSPM) tools. You will establish and enforce security baselines (such as CIS benchmarks) across our key tools, catching unauthorized administrative changes in real time. By governing the security of third-party integrations: You will audit, restrict, and manage OAuth permissions granted to third-party add-ons and AI extensions, ensuring our enterprise data remains inside approved boundaries. By mitigating Shadow IT and assessing third-party risk (TPRM): You will analyze CASB, proxy, and endpoint logs to discover unauthorized SaaS usage. You will partner with Procurement to assess the security profiles of new software vendors by auditing SOC 2 reports, ISO certifications, and CAIQ sheets. By championing technical leadership and team growth : You will build, mentor, and guide a dedicated team of IT professionals. By establishing engineering best practices, leading agile workflows, and promoting continuous learning, you will multiply your impact across the entire organization and cultivate the next generation of cloud security talent. Your Qualifications: Experience: 5+ years of dedicated experience in Cloud Security, IAM Administration, or IT Security Operations, including 1-2 years of experience leading, mentoring, or acting as a technical coordinator for other engineers. Technical Skills: Deep expertise in identity protocols: SAML 2.0, OIDC, OAuth 2.0, and SCIM. Hands-on administration experience with modern IdPs (Okta or Microsoft Entra ID / Azure AD). Scripting capabilities in Python, PowerShell, or Bash to automate security workflows and interact with SaaS APIs. Soft Skills: Exceptional collaboration and communication skills to explain complex security practices to non-technical stakeholders, combined with a pragmatic, problem-solving mindset and proven leadership capabilities to unblock and motivate team members. Standout Qualities: You hold an industry-recognized Cloud Security certification like CCSP or CCSK (Cloud Security Alliance). You hold a specialized identity certification like Microsoft SC-300 or an Okta Certified Professional/Administrator credential. You have direct experience deploying and running enterprise-grade SSPM or DSPM solutions (e.g., Wiz, AppOmni, Reco, or Defender for Cloud Apps). Leadership Excellence: You have a proven track record of designing technical roadmaps, translating business objectives into actionable engineering sprints, and successfully leading a small-to-midsize IT or Security team through complex migrations or infrastructure overhauls. Team Dynamics: Reporting: You will report directly to IT Ops Lead, joining a team that values proactive protection and automated operations. The Neighborhood: You will collaborate daily with IT Operations, HR Ops (for automated onboarding/offboarding workflows), Security, Procurement (for vendor assessments), and departmental leads across the company. Our Work Style: We operate in a highly flexible, remote-friendly, and data-driven environment. We live in Wrike for project management, utilize Okta / Entra ID, and scripting (Python, PowerShell) for API-driven automation. Our Philosophy: We follow a Zero Trust security approach. We believe in securing through smart automation and user education rather than simply "blocking" productivity tools. Benefits & Perks: 5 Weeks of paid vacation Sick Leave Compensation 5 Paid Uncertified Sick Days 2 weeks fully paid w/ medical certificate, additional 4 weeks paid at 80% salary rate Parental Leave (fully paid): 18 Weeks Maternity / 4 Week Paternity 2 Volunteer Days Meal Vouchers (CZK 220 per working day) Annual Prague Travel Card (Lítačka) Hybrid Working Model Benefit budget with flexible options, including a MultiSport card, Canadian Medical membership, contributions to a pension savings plan and additional choices available through Benefit Plus Your recruitment buddy will be Alexandra Vorobyova , Lead Recruiter. #LI-AV1 Who Is Wrike and Our Culture We’re a team of innovators and creators who solve the complex work problems of today and tomorrow. Hybrid work mode Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations. While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection. Our persona 💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched. 💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too! 🤗  Approachable: We're friendly, easy to get along with, considerate, and helpful. Our culture and Values 🤩 Customer-Focused We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind. 🤝 Collaborative We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement. 🎨 Creative We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions. 💪 Committed We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth. Check out our LinkedIn Life Page , Company culture page , Instagram , Wrike Engineering Team , Medium , Meetup.com , Youtube for a feel for what life is like at Wrike.

Location: Singapore Workplace: Hybrid About Cantina: Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning. About the Role: Cantina is expanding, and we're looking for a Research Scientist to join our growing Singapore team! In this role, you will drive foundational research on video generation models, taking ownership across the full research cycle and driving post-training research. Furthermore, you'll collaborate closely with data, infrastructure, and adjacent modeling teams to translate research findings into durable model improvements. What You’ll Do: - Build and maintain scalable systems for ingesting, preprocessing, and delivering large-scale video data for model training - Design and scale distributed data pipelines for preprocessing, dataset generation, and repeated dataset refreshes - Own workflow orchestration, job scheduling, monitoring, and failure recovery for large-scale data processing jobs - Implement and maintain containerized pipeline infrastructure using Kubernetes or equivalent orchestration systems - Optimize cloud-based data storage and movement across providers (AWS, GCS, or Azure) for cost, throughput, and operational efficiency - Define and implement best practices for dataset storage layout, versioning, caching, retention, and access patterns - Build tooling to support deduplication workflows at scale, including near-dedup pipelines over large video corpora - Research and develop distillation methods for large-scale diffusion and flow-based video generation models, including guidance distillation and adversarial distillation, with a focus on preserving or improving generation quality while reducing inference cost - Develop reward models and preference-based fine-tuning pipelines that align video generation quality with human judgments across dimensions such as aesthetics, motion quality, and prompt adherence - Analyze the relationship between base model behavior and post-training outcomes, and work with the foundation model team to inform pretraining decisions accordingly What You’ll Bring: - Strong hands-on experience building or scaling large-scale data systems or pipelines for machine learning workflows - Experience with distributed data processing frameworks such as PySpark or Ray, and orchestration tools such as Airflow or equivalent - Familiarity with containerization and container orchestration, including Docker and Kubernetes - Experience working with cloud-based data storage and compute (AWS, GCS, and/or Azure), including tradeoffs around cost, throughput, storage layout, and access patterns - Familiarity with video and media processing tools such as FFmpeg, PyAV, DALI, or OpenCV - Familiarity with multimodal or media data, including video, image, text, and audio - Strong research background in post-training methods for large-scale diffusion or flow-based generative models, with deep hands-on experience in distillation across both inference efficiency and quality preservation - Experience with reward modeling or preference-based fine-tuning for generative models, including RLHF, DPO or equivalent alignment approaches - Solid understanding of the interplay between pretraining and post-training, and how base model properties affect distillation and fine-tuning outcomes - Proficiency in Python and modern machine learning frameworks, with a strong preference for PyTorch or JAX - Track record of independent research, with the ability to drive projects from initial idea through experimental validation - Publications at top-tier venues (NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV) preferred - Good understanding of the practical challenges involved in building reliable, scalable, and reproducible data workflows for machine learning systems Benefits We Offer: - Competitive salary and generous company equity - Personal time off and paid holidays - Health insurance - Global travel insurance: Covers you when traveling internationally - Monthly spending stipend: $500 (~S$635) - Equipment: All equipment needed for your home office

Location: Singapore Workplace: Hybrid About Cantina: Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning. About the Role: Cantina is expanding, and we're looking for an ML Engineer to join our growing Singapore team! In this role, you will build and scale systems for ingesting, processing, and delivering large-scale video and multimodal data for model training. You'll own the full pipeline — from raw content to curated, filtered, and training-ready datasets — with a focus on speed, reliability, reproducibility, and cost-efficiency. You'll partner closely with curation and modeling teams to operationalize evolving dataset recipes and iterate on approaches that improve model outcomes. What You’ll Do: - Design and scale distributed data pipelines for preprocessing, dataset generation, and repeated dataset refreshes - Own workflow orchestration, job scheduling, monitoring, and failure recovery for large-scale data processing jobs - Implement and maintain containerized pipeline infrastructure using Kubernetes or equivalent orchestration systems - Optimize cloud-based data storage and movement across providers (AWS, GCS, or Azure) for cost, throughput, and operational efficiency - Define and implement best practices for dataset storage layout, versioning, caching, retention, and access patterns - Design and implement curation pipelines that determine which video and image content is selected, filtered, and retained for model training, including image-text pair datasets used in joint training regimes - Build and improve VLM-based captioning and metadata generation workflows at scale across both video and image data - Develop and apply quality and aesthetic scoring models, CLIP-based semantic filtering, and other signal-extraction approaches for data selection - Build tooling to support deduplication workflows at scale, including near-dedup and exact deduplication pipelines over large video corpora - Analyze dataset composition, identify quality issues, and iterate on curation logic to improve training outcomes - Define and evolve standards for what constitutes high-quality, training-ready video data across different training regimes What You’ll Bring: - Strong hands-on experience building or scaling large-scale data systems and pipelines for machine learning, including dataset curation, filtering, and quality improvement - Experience with distributed data processing frameworks such as PySpark or Ray, and orchestration tools such as Airflow or equivalent - Familiarity with containerization and container orchestration, including Docker and Kubernetes - Experience working with cloud-based data storage and compute (AWS, GCS, and/or Azure), including tradeoffs around cost, throughput, storage layout, and access patterns - Experience with VLM-based captioning pipelines or quality/aesthetic scoring models for video or image data, including curation of image-text pair datasets for joint image-video training - Familiarity with CLIP-based or embedding-based filtering and semantic data selection techniques - Familiarity with video and media processing tools such as FFmpeg, PyAV, DALI, or OpenCV, and relevant libraries such as Decord, torchvision, PyTorchVideo, or torchaudio - Proficiency in Python - Strong problem-solving, communication, and documentation skills Benefits We Offer: - Competitive salary and generous company equity - Personal time off and paid holidays - Health insurance - Global travel insurance: Covers you when traveling internationally - Monthly spending stipend: $500 (~S$635) - Equipment: All equipment needed for your home office

Location: Metro Manila Workplace: Hybrid 📍 Manila, Philippines | Relocation required Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines. We combine global fintech expertise with deep local market knowledge to make financial services simple, accessible, and useful for millions of people across the region. 7M+ app downloads. 2M+ monthly active users. 7,000+ partner stores. US$310M+ raised from leading global investors. Manila-based, globally distributed, and hybrid-first — our team spans 45+ countries. If you want to solve complex problems at scale and impact how millions of people access and manage money, come build with us. Southeast Asia’s fintech moment starts here. About the role: You’ll lead Salmon Group’s financing, hedging, and asset-backed transactions from first draft to closing, and track covenants after the deals close. What you’ll do: - Join the Group legal team as its second senior lawyer, working directly with the GCLO, who stays involved in key transactions and decisions. - Work with Finance, Treasury, and external counsel on financing transactions, from term sheet to closing. - Build the legal process for the reporting and covenant obligations that follow debt issuance. What you’ll own: - Run financing transactions end to end, without day-to-day involvement from the GCLO. - Draft and review complex financing, hedging, and asset-backed documentation in English. - Lead the legal workstream on debt issuance, from preparation to closing. - Monitor covenants after placement and manage compliance reporting with Finance and Treasury. - Support hedging arrangements and asset-backed financing, from structuring to signing. - Manage external counsel: scope, timelines, and quality of their work. What makes you a strong fit: - Qualified lawyer with 7–10+ years of post-qualification experience. The quality and relevance of the experience matter more than the years. - Finance and banking experience at an international law firm, or in-house at a bank or fintech. - Track record of leading transactions independently, in a large company or on international deals. - Fluent written and spoken English. The work is mostly drafting. - Ready to relocate to Manila. What we offer: Ownership and flexibility - Stock option plan — four-year vesting with a 25% cliff after the first year - Hybrid-first work environment - Company-provided tools and equipment - Office in Bonifacio Global City, Manila — a modern, walkable district at the centre of the Philippines’ growing tech scene Health and time off - Medical insurance support for you and your family through co-funding or reimbursement, depending on your location and subject to policy limits - Access to an internal mental health support specialist - 22 vacation days, Philippine public holidays, and 15 sick days - 105 days of paid maternity leave and up to 14 days of paid paternity leave for employees relocating to Manila Relocation and family support - Relocation support for you, your family — including flights, two weeks of accommodation, visas, paperwork, and logistics - Reimbursement of eligible pet relocation expenses - USD 2,500 per year for flights home - Baby and family stipends for employees relocating to Manila: USD 1,000 per month for each child under two and USD 500 per month for each child aged two to 18 Growth and team experience - Opportunities to learn and share your expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications - Company-sponsored trips to Manila to meet and work with your team in person - Regular team offsites, sports activities, and team events - High-performing teams can earn a dedicated beach house week in Southeast Asia We believe strong teams are built by people with different backgrounds, experiences, and points of view. Salmon is an equal opportunity employer, and we make hiring decisions based on skills, experience, and potential.

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

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU'LL DO You’ll join a full-stack data team building the systems making our AI agents measurably smarter with every interaction, building the real-time pipelines, analytics products, and deep personalization primitives that turn millions of conversations into business outcomes. You’ll work across these areas: - Data Foundations: Architect and build our core platform to handle data at scale with low latency. This includes our real-time eventing infrastructure, streaming and batch ETL pipelines, and our Iceberg-based data lakehouse. You will own the systems for interactive OLAP querying, orchestration, and experimentation, ensuring our data is trustworthy, fast, and easy to use for the entire organization. - Memory & Personalization: Power the next generation of intelligent experiences. You will develop the systems for long-term agent memory, build reusable Customer Data Platform (CDP) primitives, and implement the optimization loops that allow our agents to personalize interactions and demonstrably lift business outcomes. WHAT YOU'LL BRING We’re excited to meet candidates who bring depth in one of these areas: Platform Engineering - You have designed, built, and operated large-scale data systems, processing terabytes or petabytes of data with technologies like Spark, Flink, Trino/Presto, and data lakehouse formats like Iceberg or Hudi. - You possess strong backend and distributed systems fundamentals in a language like Go, Scala, or Python. You understand the trade-offs of different storage engines, query plans, and data serialization formats. - You have a history of implementing pragmatic data governance, lineage, and testing. You’ve built platforms that are cost-aware, highly operable, and a delight for other engineers to build upon. - You're well-versed in data modeling best practices (dimensional modeling, star/snowflake schemas, slowly changing dimensions) and know how to optimize analytical query patterns for both traditional OLAP systems and modern cloud data warehouses. Product Engineering - You have a portfolio of shipped data products, including analytics dashboards, data visualization tools, or alerting and exploration systems. - You are a skilled full-stack engineer (e.g., TypeScript/React and a service layer like Go), with a keen eye for performance, API design, and polish. - You excel at turning ambiguous questions into clear, intuitive interfaces. You have strong product sense around information architecture, handling empty states, and making complex data explainable. - You have practical experience with ML-powered product features, such as personalization, recommendations, or classification systems. Shared Qualities - Strong software engineering background with 4-7+ years of hands-on development experience in building and shipping production systems or products. - A passion for being on the frontier of AI products. - High agency and a bias to action in a high-autonomy environment. - Degree in Computer Science or related field, or equivalent professional experience.   EVEN BETTER... - Deep experience with event streaming platforms (e.g., Kafka, Kinesis) and real-time data processing. - Experience with modern data visualization libraries (e.g., ECharts, D3.js) and the principles of building performant, reusable charting components for complex data. - Production experience with recommender systems or optimization loops (e.g., multi-armed bandits, ranking). - A track record of leading complex technical projects or mentoring other engineers. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: Remote, Singapore GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Solutions Architect at GitLab, based in Singapore, you’ll help prospects and customers understand how our Agentic DevSecOps platform can support their technical requirements and business goals across fast paced AI-driven software development lifecycles. You’ll act as a trusted technical advisor through complex evaluations, guide teams through digital transformation, and connect customer needs back to our product direction. Reporting to a regional Solutions Architect leader, you’ll work closely with Account Executives and cross-functional partners across Asia. You’ll focus on successful agentic platform adoption, strong technical evaluations, and building trusted relationships that highlight the value we bring in an AI-driven DevSecOps landscape. You’ll work at the intersection of customer outcomes, modern software delivery, cloud, security, and emerging agentic AI workflows, helping organizations ship trusted software at the speed of imagination. What you will do Work with Account Executives and regional sales teams to shape technical account strategies that increase qualified pipeline and support expansion opportunities. Run technical discovery sessions, product demonstrations, and validation activities to define success criteria and accelerate technical validation across the software development lifecycle. Own technical evaluations as the primary point of contact, including proof of concept and proof of value activities, solution design, and workshop delivery that produce documented outcomes and clear next-step decisions. Develop solution architectures that align GitLab capabilities with customer environments, priorities, and operating models to reduce implementation risk and speed time to value. Guide customers on modern software development practices, including continuous integration, continuous deployment, security, and cloud adoption, to improve delivery consistency and security readiness. Build strong relationships with technical practitioners and business stakeholders to strengthen alignment, shorten decision cycles, and support GitLab-based transformation efforts. Create reusable technical examples, best practices, and collateral that improve team effectiveness, reduce time spent recreating customer-facing assets, and inform customer and partner conversations. Provide customer feedback, field insights, and market observations to Product Management, Engineering, Sales, and Marketing to influence roadmap priorities and strengthen market positioning. What you will bring Experience working with customers in technical pre-sales, consulting, or similar customer-facing roles. Minimum 2+ years of presales or equivalent client-facing experience with a total of 5+ years of industry experience is required. Ability to run technical evaluations such as proofs of concept, proofs of value, workshops, tenders, audits, or value stream assessments. Working knowledge of the end-to-end software development lifecycle, including DevSecOps practices and continuous integration and continuous deployment workflows. Competent knowledge of generative AI and agentic technologies will be a plus. Hands-on familiarity with GitLab or similar DevSecOps or software delivery platforms. Clear communication skills with the ability to adapt technical messages for practitioners, technical stakeholders, and senior business stakeholders. Strength in building credibility, listening carefully, developing technical champions and representing customer needs to internal teams. Interest in continuous learning, knowledge exchange, and developing expertise in GitLab, AI, and related cloud technologies. Familiarity with cloud platforms, self-managed environments, or transferable experience from related technical fields is welcomed. About the team We serve as a technical partner for the field, helping customers and internal teams see the value of GitLab's platform approach during complex engagements. We work closely with go-to-market and product organizations, bringing field feedback into conversations about product direction, services, enablement, and value messaging. As a distributed team in an all-remote environment, we rely on clear communication, sound judgment, and common practices to work with customers across regions. We play an important role in GitLab's continued growth by combining technical depth, strong customer relationships, and operational discipline. For more on how we work, see Solution Architecture Handbook . How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Toronto; Canada; United States Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ABOUT THE ROLE. We’re building the next generation of agentic AI infrastructure at Cohere. This team sits at the intersection of ML systems, distributed infrastructure, and developer experience, creating the platform that powers autonomous AI agents at scale. You’ll work on hard, forward-looking problems with few established patterns, including secure code execution, agent state management, model routing, identity and authentication, and resource management for long-running agent workflows. This role is a strong fit for someone who combines systems depth with ML intuition. You should be comfortable building reliable infrastructure, thinking through distributed systems tradeoffs, and understanding how emerging agentic capabilities shape platform design. WHAT YOU’LL WORK ON. - Secure execution environments for agent-generated code - Identity, authentication, and trust boundaries for agents - Model routing and orchestration across different model types and environments - Rate limiting, quotas, and resource management for agent workflows - State management, memory, and filesystem abstractions for agents. IN THIS ROLE YOU WILL: - Turn emerging ML research ideas into production-ready infrastructure - Build core platform capabilities for execution, storage, and state management - Prototype and evaluate new technologies, then help decide what should move into production - Partner with research teams to shape infrastructure based on what future agent systems will need YOU MAY BE A GOOD FIT IF YOU HAVE: - Experience building production ML infrastructure with strong systems fundamentals - Hands-on work with agentic systems, multi-agent workflows, or agent development frameworks - Familiarity with model routing and LLM provider frameworks across different model types and environments - Experience with scalable, fault-tolerant distributed systems and Kubernetes - A track record of moving quickly on prototypes and making good decisions about productionization. BONUS - Experience across on-prem, private cloud, and public cloud environments - Familiarity with storage systems, embedded databases, or filesystem abstractions - Experience with code execution sandboxes such as gVisor, Firecracker, Kata, or WASM runtimes - Interest in emerging ML infrastructure, edge inference, or browser-native models - Open-source contributions to LLM or agent infrastructure projects - Experience with identity, workload auth, or capability-based security systems. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: United States (Remote) Workplace: Remote About Teleport Don't wait for the future of infrastructure. Be part of it. Teleport is the AI Infrastructure Identity Company. We're solving one of the hardest problems in security: giving every human, machine, workload, and AI agent a cryptographically secured identity, improving engineering velocity while maintaining security. We make trusted computing simple. This gives you the freedom, power, and autonomy to build and innovate with confidence. Remote-first and globally distributed, we work with companies like Nasdaq, DoorDash, and Elastic to secure infrastructure for an AI world. ABOUT THE ROLE We are looking for product-focused systems engineers to work on Teleport Core Product. You will work on problems ranging from performance and scalability, security and networking, to integrations with external systems. You will work on the full product lifecycle from working with customers to understand their problems, writing RFDs for your proposed design, implementing, testing, and documenting. Teleport is an open core project, and most of the code you will write will be open source and written in Go. WHAT YOU'LL DO - Become an expert on scalability, performance, and reliability of Teleport in large deployments. - Design, develop, and ship outstanding, high-quality products. - Write most of the code in Go. - You'll join one of Teleport's access teams. These teams build secure, passwordless access to every kind of infrastructure, using short lived credentials, and it has to work at the scale of our largest customers. - Improve observability, tracing and failure handling so the access layer can be debugged at scale. - Grow your technical expertise. - Lead a distributed team of outstanding engineers. WHAT WE'RE LOOKING FOR - Willingness to work collaboratively with Teleport's engineers on coding challenge in Go https://github.com/gravitational/careers/blob/main/challenges/systems/challenge-1.md as part of the interview process. - Builder mentality and experience -- you love being hands-on and building zero-to-one products. - Extensive Go experience. - Extensive experience developing scalable, reliable, and performant distributed systems and platforms. - Strong team leadership. - Engineering management experience. - Linux systems engineering experience. - Knowledge of Identity Management, RBAC, ABAC, and zero-trust security models. - Intellectual curiosity and a willingness to master new technologies. - Transparency, honesty, and a no-ego mindset. - Significant contributions in Open Source is a big plus. HOW WE HIRE Our process is designed to be straightforward and respectful of your time. We skip performative rounds and focus on what matters: understanding how you think and what you can do. For this role, we use a take-home challenge that mirrors real work at Teleport — on your time, your way. You'll have support from the team throughout. 1. Zoom meeting with a Teleport recruiter. You’ll learn about the company, our products, compensation philosophy, interview process, and key requirements. 2. Zoom meeting with the Hiring Manager. The Hiring Manager will walk you through the coding challenge and answer your questions. 3. Coding challenge collaboration. The day after your meeting with the Hiring Manager, you join a Slack channel and complete a coding challenge in Go https://github.com/gravitational/careers/blob/main/challenges/systems/challenge-1.md using GitHub. The challenge usually takes about 2 weeks and ends with a Zoom meeting with the Hiring Manager and a member of the interview team to review your solution. 4. If your challenge solution meets our bar, you'll receive an offer to join Teleport. Why Teleport You're joining a company where the problem is real, the team is small, and your work shows up directly in the product. We're not a big company, you won't get lost in a crowd. You'll have the freedom and autonomy to do what you're great at, alongside teammates who care about doing it right and want to see you succeed. The work is collaborative, there's real room to grow, and the mission is one worth showing up for. Remote-first and globally distributed, we're genuinely passionate about what we're building. The Benefits At Teleport, we believe your career is more important than a list of perks. That's why we focus on making your day-to-day the best it can be — giving you the autonomy, access, and support to do the best work of your career. - Extensive health coverage - Annual expense budget - Rest and recovery policies that maximize your ability to recharge - Investment in your future with retirement savings plans - Professional development opportunities Teleport is an equal opportunity employer and does not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classifications protected by federal, state, or local law. Candidate Privacy Notice: For information about our collection and processing of job applicant personal data for this position, please see our Job Applicant Privacy Policy and Notice of Collection at goteleport.com/legal/apply/job-applicant/ http://goteleport.com/legal/apply/job-applicant/

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU’LL DO - Build primitives for self improvement: Create the feedback loops, evaluation systems, memory, signals, and decisioning infrastructure that help long-running agents learn from outcomes and improve over time. - Build the future of long-horizon agents: Design and ship agents that pursue complex business outcomes over days, weeks, or months across voice, SMS, email, and other channels. - Turn 0-to-1 work into a platform: Identify patterns and build reusable systems, abstractions, and tools that make future Horizon agents faster and easier to launch. - Solve technically complex problems: Build across orchestration, integrations, data, memory, signals, decisioning, observability, and multi-channel engagement. - Shape the Horizon product: Surface platform gaps through hands-on implementation and work with product and engineering to define Horizon’s architecture and roadmap. - Create a clean path beyond the POC: Once a solution is validated, translate what you built into durable product capabilities and enable a successful handoff for continued deployment. WHAT YOU’LL BRING - Experience building and scaling end-to-end production systems. - Strong platform and systems engineering fundamentals. - The ability to move between customer problems, product design, and technical implementation. - Strong technical judgment in ambiguous, fast-changing environments. - A builder’s mindset and the ability to take products from zero to one. - Comfort working directly with customers and understanding complex business processes. - High agency, adaptability, and clear communication. - At least two years of professional software engineering experience - Experience with Python, TypeScript, or Go and React. EVEN BETTER... - Experience as a founder, founding engineer, or early engineer at a startup. - Experience building workflow, orchestration, event-driven, or distributed systems. - Experience developing platforms or reusable infrastructure for other engineers. - Experience building or deploying AI and LLM-powered products. - Familiarity with enterprise integrations, APIs, data pipelines, and systems of record. - Experience working in complex industries such as financial services or healthcare. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU'LL DO When someone calls an airline, texts a retailer, or opens their bank's app and talks to a Sierra agent, our systems carry that conversation. Phone calls, SMS, WhatsApp, email, and the chat inside our customers' apps all run through this team. AI voice, chat, and messaging agents are new and they must operate with global communication networks. Nobody has fully solved how to make the two work together at the speed of a real conversation. We have to solve it for millions of calls, and you will be building the future of how entire industries will operate with AI agents. Demo: Finding the perfect stay https://sierra.ai/resources/videos/demo-finding-the-perfect-stay Demo: Flight disruption recovery https://sierra.ai/resources/videos/demo-flight-disruption-recovery - Multi-modal: Make one conversation work across voice, text, and screen. A customer can start by talking, switch to typing on a crowded train, send a photo of a broken part, and get a link or a form back on screen. The agent remembers everything, whichever way the customer talks and personalizes it. You will build on the frontier here, and decide what it should feel like. - Make AI voice feel like a real conversation. Every call crosses carriers, telephony networks, and contact centers around the world before it reaches our agent. Making AI agents feel lively and real across global infrastructure is a critical problem to get right for end users. - Give personal AI agents a safe way in. More people now have their own AI assistants. Today a company can either block them or hand them the user’s full account access. The Personal Agent Protocol https://personalagentprotocol.org/ is an open standard that offers a better option: a safe way for personal agents to work with a company and its Sierra agent. You’ll help build it. - Build the agent experience inside the app. ChatKit is our library of native iOS, Android, and web components for talking to an agent. It covers voice controls, live waveforms, transcripts, and chat. Customers use it to build an agent experience inside a customer’s flagship app, not like a widget added on top. You decide what those components are and how they behave. - Get every call to the right agent. You’ll build and own our global telephony stack: SIP, WebRTC, the Sierra Voice Protocol and our integrations with major contact-center platforms. That means millions of calls and messages, and every one of them reaching the right agent. - Put Sierra on every channel. SMS, WhatsApp, RCS, email, LINE, Messenger and Instagram. You’ll build the tools that let developers launch a new channel on their own, delivering value in hours not weeks. WHAT OWNERSHIP LOOKS LIKE - A bias for shipping. You move fast, and you finish what you start. - Curiosity about the hard parts. You go deep where other engineers avoid going: protocols, edge cases, and end to end multi-modal experiences. - An AI-native way of building. You not only use AI tools every day, it is ingrained in the way you operate and think. You’ve deleted all old priors and re-invented the way you and your teams work from the ground up. Come ready to tell us about something you built that you couldn’t have built 6 months ago. - An obsession with the details. When one call in ten thousand fails, you want to know why. You obsess about the product experience and pixels as much as you do latency and reliability. - Strong backend fundamentals. You can also work comfortably across backend, infra, mobile and web. - 3+ years building production software that real users depend on. WHAT YOU'LL BRING - A passion for being on the frontier of AI products. - Pride in building reliable, maintainable, and secure systems that scale. - Motivation and high-agency to drive outcomes in a high-autonomy culture. - 4+ years hands-on experience building production systems. - Degree in Computer Science or related field, or equivalent professional experience. EVEN BETTER... - Experience building AI products for enterprise or consumers - Experience building native SDKs for iOS (Swift) or Android (Kotlin) - Experience building messaging apps, voice apps or voice agents - Experience with SIP, WebRTC, Twilio or contact-center platforms - Experience with real-time, low-latency distributed systems None of these are required. If the problems above excite you, we’d love to hear from you. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: San Francisco; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Forward Deployed Engineering is Baseten’s swat team. We’re deeply technical, great with customers and fast, and we make the platform better with everything we learn in the field. FDEs take on the hardest inference problems for our most strategic customers: novel architectures, extreme scale, tight latency budgets. Then we turn those solutions into a platform no one can match. We’re scaling the team quickly. We need someone to build the operating system that lets a fast-growing team of engineers stay focused on hard problems instead of coordination. This is a high-visibility role with direct exposure to our largest customers and to company leadership. You’ll shape how a new kind of engineering team operates in the AI industry. RESPONSIBILITIES - Run the priority account cadence. Own the operating rhythm for our top accounts: daily hot-account check-ins, the weekly “forest view” review with leadership, and the account list itself with Sales leadership. Goal: zero surprise escalations to our execs. - Make the bridges work. Our FDE team connects to SA and Sales, Product, engineering (inference, infra), capacity and on-call. You’ll make sure each connection has a clear owner, cadence and SLA, with no hand-offs falling through the cracks: - Account transitions between solution architect and FDE, with exit criteria and runbooks - Non-P0 escalations to engineering teams, tracked and burned down weekly - Customer patterns and gaps flowing into the product roadmap - Drive cross-team programs for our largest customers. Coordinate multi-team efforts such as dedicated-capacity rollouts, cluster migrations, capacity reservations and large customer launches. Bring together various teams so these run on a plan, not on heroics. - Reduce toil and protect platform time. Track where engineering time goes: incidents another team owns, manual routing and config changes, after-hours pages. Work with engineering leads to remove the biggest sources of obstacles, so FDEs keep 30% of their time for shaping the platform. - Own the metrics. Build and report the metrics scorecard (account health, response times, toil, load per engineer, team health) to leadership. - Help us scale the team. Drive programs like new-hire enablement and certification, account load balancing, and run book coverage. Partner with Recruiting on hiring operations as we grow. - Manage risk and dependencies. Maintain a clear-eyed view of cross-team dependencies and risks; surface them early, drive mitigation, and keep leadership informed with honest, signal-rich updates. - Communicate up, down, and across. Translate between deeply technical teams and senior leadership. Run effective program reviews and write the kind of crisp statuses that let busy people make fast decisions. REQUIREMENTS - 5+ years as a TPM (or engineer turned TPM) on infrastructure, cloud or customer-facing technical programs - Technical depth: you’re comfortable with ML Infra systems, Kubernetes, GPUs and distributed systems, and can follow an incident channel or a design doc without a translator. Experience with LLM inference is a strong plus. - You’ve run programs across many teams at once and kept them moving without formal authority - Calm in the middle of an escalation: you bring structure to chaos and close the loop - You write clearly and concisely, for engineers and for execs - High ownership, and you’d rather fix the process than work around it NICE-TO-HAVES - Experience working on AI / ML Infra stack. - Background in solutions engineering, SRE or forward-deployed teams WHAT SUCCESS LOOKS LIKE - In your first few months, you'll have taken ownership of one or more in-flight programs, established the operating rhythm they were missing, and built the trust that makes teams want you in the room. - Within a year, the programs you run are the ones leadership doesn't worry about, because the structure is clear, the risks are visible early, and the follow-ups always close. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: San Francisco, CA | Seattle, WA 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 Every dollar Anthropic earns and every dollar it spends on compute has to reach the books correctly, and the volume grows with Claude usage. That data comes from across the company and from partners: usage and billing, compute, infrastructure assets, leases. Products and pricing models keep launching, and each one adds another path into the books. Our goal is a continuous close with zero material issues, with audit-grade controls. You’ll build the platform that gets us there: one front door for every finance event, an append-only ledger, and an accounting engine that posts each event exactly once. This is a distributed systems problem with an unusually high correctness bar. The system has to be right to the cent, replay cleanly and explain any number as of any date, at that volume. You will shape its architecture. Its users include Claude agents, which read and write through the same APIs and controls as people. You’ll work closely with SWEs in Billing, Compute and Infra on shared contracts and APIs, and with product owners, finance operations and internal audit to turn accounting and controls requirements into designs. You don’t need a finance background. If you have built backend systems where correctness matters, we will teach you the domain. Responsibilities Design and build the front door into finance and its governed contracts: APIs for apps and agents, an event bus for systems that publish, adapters for vendor apps and reports, data-quality gates, and processing that posts every event exactly once, with replay and backfill Drive the build of the accounting ledger and engine: an append-only ledger with idempotent posting, a rules framework that turns business events into journal entries, translation into the ERP, and period locks Design and build the SDKs and frameworks that finance apps and agents build on Build controls into the platform as code: immutable audit trail, maker-checker, scoped access and segregation of duties Build and run the production services that other engineering teams call in real time, such as the tax and collections services in the billing flow, and own their reliability: uptime, latency, throughput and correctness targets agreed with those teams Shape the platform’s technical direction: architecture, engineering standards and design reviews Minimum qualifications Strong backend engineering in a statically typed language such as Go, Java or Rust, or Python at scale Experience designing and running high-volume, event-driven systems (publish/subscribe, streaming) with idempotent processing, replay and backfill Experience designing relational data models and writing SQL for complex, versioned data Experience designing APIs, SDKs and service-to-service integrations used by other teams Experience building systems with auditability, access control or compliance requirements Experience turning requirements from non-engineering partners into technical designs Strong written and verbal communication, including design docs Preferred qualifications 10+ years of experience Experience building developer platforms or paved paths Experience with streaming systems such as Pub/Sub or Kafka Experience building with LLMs and agents, including MCP Built a ledger, sub-ledger, billing or payments system Familiarity with accounting concepts: double-entry, journal entries Familiarity with internal controls and audit concepts: audit trails, segregation of duties, change management Exposure to ERP or financial systems, such as Workday Financials The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco; New York; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE AI is being built by many companies at once. Model labs train more capable models, hyperscalers provide infrastructure and distribution, developers build new AI products, and a growing set of tools gives agents more to work with. Baseten sits at the center of all of it, as the inference platform that developers and large companies use to run AI in production. We're hiring Software Engineers with strong product and customer sense to join our Product Platform organization. This team builds the enterprise-hardened products that sit on top of our inference platform. These are the surfaces customers, partners, and their agents touch every day. We also build systems and products for developer productivity, including agentic platforms. We're hiring across several areas: - Commercialization, billing, and partnerships. - Developer productivity and agentic development. - Enterprise controls: identity, access, governance, and account lifecycle management. You'll own customer-facing features end to end. That means talking to customers to define the problem, designing and shipping the solution, and iterating once it's in production. You'll work closely with product and design as a peer. EXAMPLE INITIATIVES You'll get to work on these types of projects as part of our Product Platform team: - How we built RBAC that scales for the enterprise https://www.baseten.co/blog/rbac-from-the-ground-up-solving-for-autonomy-vs-control/ - Announcing our partnership with OpenAI https://www.baseten.co/blog/baseten-openai-partnership/ - Introducing Baseten Hosted Tools https://www.baseten.co/blog/introducing-baseten-hosted-tools/ - How leading platforms ensure observability for LLM inference https://www.baseten.co/blog/how-leading-platforms-ensure-observability-for-llm-inference/ RESPONSIBILITIES - Own customer-facing features end to end, from understanding who you're building for through design, launch, and iteration. - Build platforms and systems that scale and perform well in production, not one-off features or scaffolding. - Ship in phases, working directly with internal and external customers to validate and iterate along the way instead of betting on a single big launch. - Weigh competing customer requests and make clear prioritization calls based on impact. - Work closely with product, design, forward deployed engineering, and go-to-market teams as a peer, contributing ideas rather than just implementing specs. - Build the systems behind how customers buy, integrate, and use Baseten, across billing, partnerships, and developer and agentic tooling. - Take ownership of ambiguous problems, move quickly, and drive them to completion with little process. - Pick up new problem areas quickly and grow your scope as the team and product expand. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Paris 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. OUR MISSION Build and scale the logistics capabilities that enable Mistral AI to deploy, operate and expand high-density compute infrastructure reliably. Own the flow, custody, traceability and readiness of high-value hardware, critical spares and associated materials - from supplier dispatch through site receipt, storage, deployment, repair and end-of-life disposition. Deliver speed without compromising safety, inventory integrity, security or cost control. OPERATING CONTEXT & ACCOUNTABILITY You will coordinate closely with Data Center Operations, IT Operations, deployment teams, Procurement, Finance, Security, Safety, colocation operators, carriers and OEM service partners. The role owns Mistral logistics processes and supplier performance. KEY RESPONSIBILITIES - DEPLOYMENT LOGISTICS AND SITE READINESS - Plan inbound and outbound movements for accelerator servers, racks, networking equipment, CDUs, replacement parts, tooling and deployment consumables across sites and staging locations. - Translate deployment schedules and bill-of-materials requirements into shipment plans, delivery windows, site receiving capacity, material availability and clear responsibility assignments. - Coordinate with business partners and site teams on loading bays, access approvals, delivery routes, floor loading, rack handling, lift plans, packaging removal, temporary storage and installation sequencing. - Identify logistics dependencies that could delay energization, commissioning, rack acceptance or compute availability; maintain escalation paths, contingency plans and recovery actions. - Create consistent procedures for goods receipt, inspection, damage recording, quarantine, staging, pick/pack, handover and proof of delivery, including exceptions and nonconformances. - Manage reverse logistics for defective equipment, repair exchanges, warranty returns, redeployments and end-of-life assets, with documented chain of custody and secure disposition. KEY RESPONSIBILITIES - INVENTORY, SPARES AND ASSET TRACEABILITY - Define and maintain an accurate inventory and asset-control framework for Mistral-owned equipment, including serialized items, location, ownership, status, movement history and reconciliation with IT asset records. - Set and monitor critical spare-parts policies with IT Operations and OEM partners: minimum/maximum stock, lead times, failure demand, replenishment triggers, shelf-life and obsolescence exposure. - Establish auditable stock movements, cycle counts, physical inventories, discrepancy investigations and controls for high-value or sensitive components. - Monitor stock health, aging, availability, stranded inventory, shrinkage and repair turnaround; use evidence to optimize local versus regional stocking decisions. - Coordinate secure storage conditions, ESD-sensitive handling, environmental requirements, battery transport/storage rules where applicable, and restricted access to valuable hardware. - Develop common inventory taxonomy, operating procedures and system integrations to support growth across sites, providers and countries. KEY RESPONSIBILITIES - SUPPLIER, TRANSPORT AND COMMERCIAL PERFORMANCE - Oversee third-party logistics providers, freight forwarders, warehouses, specialist rigging partners and couriers against agreed service levels, security controls and escalation requirements. - Work with Procurement and Legal on supplier selection, scopes of work, insurance, liability, transport terms and measurable performance expectations. - Coordinate cross-border shipping requirements with qualified customs and trade-compliance specialists, including import/export documentation, duties, restricted goods and relevant sanctions/export controls. - Monitor freight, warehousing, handling, repair and expedite costs; challenge avoidable spend while protecting deployment dates and service restoration capability. - Lead supplier performance reviews, delivery-failure investigations and corrective action follow-up; develop alternative routes and providers for critical supply chains. - Maintain reliable forecasting and reporting of expected arrivals, shortages, inventory exposure, blocked shipments, deployment readiness and outstanding returns. KEY RESPONSIBILITIES - SAFETY, RESILIENCE AND CROSS-FUNCTIONAL EXECUTION - Partner with Safety and site teams to assess high-risk material handling, rack moves, lifting/rigging, traffic management and contractor interfaces; verify that required plans and competent resources are in place. - Coordinate physical-security requirements, access permissions, tamper evidence and chain of custody for sensitive or high-value technology. - Develop practical business-continuity plans for shipment disruption, customs holds, supplier shortages, loss or damage in transit, and urgent hardware replacement needs. - Work with IT Operations and OEM service partners to prioritize material flows during incidents and reduce mean time to restore affected compute capacity. - Create clear operating rhythms and decision records across engineering, deployment, site teams and suppliers; escalate risks early and close actions with evidence. TEAM LEADERSHIP & ORGANIZATIONAL DEVELOPMENT - Build, lead, and scale the team across regions, aligning organizational capabilities, staffing levels, and resources with Mistral AI’s growth trajectory and operational requirements. - Supervise, coordinate, and support team members, ensuring clear accountability, effective collaboration, and consistent execution of responsibilities. - Define the organizational structure, roles, responsibilities, and resource allocation required to support current operations and future expansion. Recruit, onboard, develop, and retain high-performing professionals, ensuring the team possesses the technical expertise and capabilities required to meet business objectives. - Establish clear performance expectations, measurable objectives, and development plans; conduct regular performance reviews and provide constructive feedback and coaching. - Drive standardization of processes, procedures, and best practices across regions while accommodating local operational and regulatory requirements. - Foster a culture of ownership, accountability, continuous improvement, knowledge sharing, and operational excellence. Collaborate with cross-functional leaders to anticipate resource requirements, address organizational gaps, and ensure effective coordination across teams. - Develop succession plans and strengthen internal capabilities to support organizational resilience and long-term scalability. - Manage team priorities, workload distribution, and resource planning, ensuring effective execution while maintaining quality, safety, and operational efficiency. WHAT SUCCESS LOOKS LIKE - Critical hardware and materials arrive complete, traceable, secure and ready for deployment when needed. - Inventory accuracy is consistently high, with timely reconciliation and documented custody for valuable assets. - Critical spare parts are available according to risk-based targets, reducing restoration delays and avoidable downtime. - Logistics exceptions, shipment damage, deployment blockers and supplier failures are identified early and resolved with measurable corrective actions. - Logistics processes scale across new sites without sacrificing safety, compliance, cost discipline or execution speed. MINIMUM QUALIFICATIONS - At least 5 years of relevant experience in logistics, supply chain, warehouse operations, hardware deployment or inventory management in a complex technical environment. - Hands-on experience coordinating high-value equipment shipments, third-party service providers, site receiving, stock controls and reverse logistics. - Ability to establish auditable inventory processes, analyze operational data, manage exceptions and deliver against demanding deployment timelines. - Working knowledge of transport, handling and workplace safety requirements; ability to engage relevant specialists on customs and international trade compliance. - Strong cross-functional communication, supplier management and problem-solving skills; professional English and willingness to travel to operational sites. PREFERRED QUALIFICATIONS - Experience supporting data centers, AI/HPC infrastructure, hyperscale hardware deployments, enterprise IT logistics or complex industrial equipment. - Familiarity with serialized GPU/server assets, rack-scale systems, networking equipment, specialist lifting and ESD-sensitive components. - Experience implementing warehouse management, enterprise resource planning or IT asset-management systems and inventory dashboards. - Experience with international shipping, freight forwarding, customs interfaces, repair/RMA workflows and multi-site critical spares strategies. - Experience improving supplier performance, stock availability, forecast accuracy and logistics cost-to-serve. 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.