Вакансии

Location: London Workplace: Hybrid Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. ABOUT THE ROLE For years, avatars have been something you watch. You write a script, we render a video, someone presses play. That model has taken AI video a long way but it has a ceiling. A video can't answer a question. It can't read the room. It can't role-play a tough conversation and adapt when you push back. We're changing that. Interactive Avatars listen, talk, and respond in real time; inside your product, your website, or your internal tools. You bring the logic and the language model; we power the avatar layer: the speech, the expression, the listening, the sense that there's someone actually there. It's early. Interactive Avatars is in closed beta today, and the teams building on it are pushing it into places we didn't expect - AI sales reps, always-on support agents, interactive trainers, onboarding guides. We're hiring a Product Manager to own it and take it from beta to a platform that thousands of developers build on. This is a role with real scope. You'll help define what a real-time avatar API should be, the surface developers integrate against, the experience end users feel, and the commercial model that makes it a business. You'll work directly with the engineering and research teams building the real-time avatar stack, and with the design partners already live in the beta.   THE PROBLEM YOU'RE SOLVING Today, a developer who wants a lifelike, real-time avatar in their product has to stitch together a streaming pipeline, a rendering layer, an agent, and a set of hard real-time problems - latency, interruption handling, listening behavior, expressiveness, consistency across sessions, most of which have nothing to do with the product they're actually trying to build. We have the avatar technology and a working beta. What we need is a PM who can turn that into an API a developer can integrate in an afternoon, trust in production, and build a real business on top of, all while holding a quality bar high enough that the experience feels human, not uncanny.   WHAT YOU'LL BE DOING - Owning the end-to-end Interactive Avatar API. This is the developer-facing surface (SDK, integration patterns, docs), the real-time experience quality, and the path from closed beta to general availability, and defining what the roadmap looks like over the coming cycles - Getting close to the developers and teams building on the beta: understanding how they integrate, where the API fights them, which real-time behaviors make or break the experience, and what "production-ready" means to them - Translating that understanding into a clear product direction. What to build, in what order, and why, and keeping the team aligned as the strategy evolves - Working closely with the engineering and research teams building the real-time avatar stack; contributing clear specs, sound judgment on trade-offs (quality vs. latency vs. cost), and the context that helps them build the right thing the first time - Partnering with go-to-market and commercial teams to define how the API is packaged, priced, and sold - a real-time API has a fundamentally different business model from batch video, and shaping that is part of the job - Defining and tracking the metrics that tell us whether the product is working across adoption, integration success, real-time quality, reliability, and the commercial signals that prove it's a business WHO YOU ARE You've owned a developer-facing product before like an API, an SDK, or a platform and you know that the product is the developer experience. You understand that adoption is won or lost in the first hour of integration, and that trust is won or lost the first time something breaks in production. You build accordingly. You're comfortable in a space where the roadmap isn't fully formed. You don't need a clean brief to get started. You can talk to developers, watch them integrate, synthesize what you see, and come back with a point of view. You're also honest about what you don't know and willing to update when the evidence changes. You care about the detail, and you can hold a quality bar for something subjective and hard: a real-time avatar either feels present and responsive or it feels off, and the difference lives in latency, interruption handling, expressiveness, and consistency. You know how to make that bar concrete and defend it. You think commercially. A new API isn't just a technical surface. It's a business, and you have instincts (or scar tissue) around how developer products get adopted, packaged, and monetized. REQUIREMENTS: - 5+ years in product, with direct experience owning a developer-facing API, SDK, or platform product. The vertical doesn't matter, the platform depth does - Comfortable operating in an early-stage, 0→1 environment where discovery and delivery happen in parallel and the roadmap is still being shaped - Strong technical fluency: you can hold a credible conversation with engineers about real-time systems, latency, and integration trade-offs, and make good calls without needing every answer handed to you - Strong written communication: you can write a spec, a strategy doc, or an API design rationale that others can act on without a follow-up conversation - Real-time / streaming media, conversational AI, or applied-AI product experience is a strong plus but not a prerequisite. - Instinct for the commercial side of a developer product - adoption, packaging, and monetization is a plus. - Based in London or open to regular in-person time. OUR CULTURE At Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here. https://www.notion.so/How-we-work-at-Synthesia-f794caa72f8446efb6be22b551ce0fa2?pvs=21   LOCATION Flexible, hybrid role based from our London office.   GLOBAL BENEFITS: - You will be compensated well with a generous salary and equity. - You get 25 days of annual leave + local holidays. - Regular team offsites where you’ll get to collaborate with the product & engineering team in person. - Work from home budget - Work from anywhere policy of 60 days per year - Generous referral scheme - Enhanced parental leave - maternity leave includes 16 weeks at full pay, and paternity leave includes 5 weeks at full pay (if your country’s government scheme offers more generous support, you receive whichever is greater—our enhanced policy or the local statutory benefit) BENEFITS SPECIFIC TO UK: - Private healthcare via AXA for you with a discount for dependants - 5% pension match - Team lunches Tuesday-Friday in the office - Flexible, hybrid role based from our London office.

- Уверенный TypeScript, опыт разработки и поддержки автотестов для Frontend и Backend от 3 лет. - Playwright + Selenium или WebDriverIO.

Location: Berlin, Remote Workplace: remote The Trainer is our pedagogical and platform expert within the Professional Services (PS) team. Your mission is to empower our clients to build Collaborative Learning organizations by mastering our platform and methodology. You aren't a technical expert; you are a pedagogical and platform expert who ensures that clients don’t just "use" the software, but master it to drive long-term engagement. By owning our "One-to-Many" offer (Engagement Academy & Stadium webinars), you ensure that every client, from their first day of implementation, has the knowledge and confidence to make their project a success. You don't just deliver content; you develop a scalable learning ecosystem that ensures every client gets the best start possible by mastering our Collaborative Learning methodology. You will work closely with the Customer Success Team and Product teams to ensure our training offer addresses the actual friction points and needs of our client base. Within 1 month, you will: Master our Platform's core user experience and the Collaborative Learning methodology Become a platform expert (from a user & admin perspective) and get certified on our methodology. Shadow existing Stadium webinars and Academy workflows to understand the current "One-to-Many" engine. Connect with colleagues worldwide through virtual coffee chats and team-building activities. Within 3 months, you will: Host your Stadium webinars and receive peer feedback on your ability to drive platform engagement. Identify and execute your updates on the Engagement Academy to align with the latest product releases. Define your quarterly priorities in relation to the Support & Services roadmap with your coach. Actively contribute to our internal knowledge base (Confluence) to share best practices on platform usage and client engagement. Within 6 months, you will: Lead a project to improve the One-to-Many strategy (e.g., new webinar formats, gamification of the Academy, or localized content). Participate in Discovery Meetings with Product Managers to share insights on how clients actually use and adopt the platform. Analyze Academy completion rates and Stadium satisfaction scores to iterate on the training Catalog. Build new processes and update Confluence with the information needed for the team's daily work. Within 12 months, you will: Onboard and mentor new Trainers, teaching them how to turn platform features into compelling learning stories. Take full ownership of a recurring team pillar (e.g.,being the internal referral for complex solution training). Develop advanced toolkits and training paths based on the most successful client use cases. The Skills Set: 3+ years of successful experience as a Trainer OR successful client-facing experience in Customer Success/Care You have excellent overall writing skills in a number of different styles/tones, and impeccable spelling and grammar in German, English, and French. You are recognized for your listening and teaching skills You express your ideas in a clear and concise manner, both in writing and orally You are proactive and prefer working in a strong results-oriented culture A past experience in the learning industry is a plus You have excellent overall writing skills in a number of different styles/tones, and impeccable spelling and grammar in German, English, and French. Enthusiasm for our working environment explained here: https://bit.ly/Convexity360L What we offer: Compensation: Package includes base salary, a variable component and equity 📈 Benefits: Work From Home perks, 1 month parental leave for the second parent. Balance: Flexible hours, Total work from home possible anywhere in Germany 🏠 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 Interview Process: Phone Screen with our Talent Acquisition Manager Discovery Meeting with our LEC Coach Case Study Meeting with our LEC Coach and a member of the team Clarification Meeting with our Head of professional Services EMEA Culture Fit Meeting with our VP Global Professional Services Offer ! Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

Location: Remote, South Korea 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 Strategic Account Executive for South Korea, you will own and grow GitLab’s enterprise relationships in the South Korea market. You’ll help large organizations realize the full value of GitLab’s AI-powered DevSecOps platform by leading the entire sales cycle, from prospecting and qualification through rollout and long-term adoption. Reporting to an Area Sales Manager or Regional Director, you’ll use a consultative approach to understand complex customer needs, guide them through evaluation, and coordinate pre- and post-sales resources to ensure successful deployments and visible business outcomes. You’ll work under minimal supervision on complex deals, act as the voice of the customer into GitLab, and partner closely with our strategic channel partners to generate qualified opportunities and develop new customers. In your first year, you’ll be expected to establish and execute clear account plans for enterprise prospects and customers in the Singapore market, build strong internal and external stakeholder relationships, and consistently manage your forecast and pipeline with transparency and discipline. What you’ll do Support GitLab’s strategic prospects and customers in the South Korea Market, with a focus in the large conglomerates, owning the full sales cycle for large and enterprise accounts Lead account strategy by developing and executing account plans aligned to each customer’s business needs and long-term goals Conduct prospecting and opportunity development activities in named large and strategic accounts, including working closely with strategic channel partners to generate qualified leads and new customers Coordinate pre- and post-sales engagement with solutions architects, customer success, and support teams to ensure successful rollout, adoption, and expansion of GitLab products Provide clear account leadership, including regular activity, pipeline, and forecast reporting to sales management Analyze wins and losses, contribute to root cause analysis, and share lessons learned with account managers, marketing, and technical teams to improve future outcomes Act as the voice of the customer by sharing feedback and product ideas through GitLab’s public issue tracker and internal channels Use a consultative sales approach to uncover business issues, shape solution recommendations, and deliver compelling proposals, quotes, and presentations that address customer requirements What you’ll bring Experience managing complex sales cycles with large, strategic enterprise customers, ideally selling into conglomerates. Proven ability to prospect, qualify, and develop new opportunities while also growing existing accounts through strong account management Skill in leading pre- and post-sales activities, coordinating with technical, support, and channel partners to drive adoption and expansion Proficiency in consultative selling, including uncovering business needs, building account plans, and delivering proposals and presentations that align GitLab solutions to customer outcomes Ability to prepare and maintain accurate activity, pipeline, and forecast reports, and to contribute to win/loss and root cause analysis Effective communication and collaboration skills to share customer feedback and lessons learned with sales management, product, marketing, and technical teams Familiarity with software development concepts and tools, with preferred exposure to Git, software development tools, or application lifecycle management Alignment with GitLab’s values, openness to learning, and interest in applying transferable skills even if your background does not match every requirement exactly About the team The Strategic Account Executive will join our enterprise sales team, which focuses on driving GitLab adoption with large customers in the Singapore market. The team is responsible for the full relationship lifecycle with enterprise accounts, from initial engagement through long-term expansion and advocacy, ensuring customers realize value from GitLab’s DevSecOps platform. Team members work in an all-remote, distributed environment and collaborate asynchronously across time zones with sales leadership, solutions architects, customer success, marketing, and channel partners. The team is currently focused on maintaining and growing our existing footprint in the region, executing a consistent global sales motion while adapting to local customer needs and partnering closely with strategic channel organizations to reach and support key accounts. 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: United States Workplace: Remote We’re looking for a Sr. Manager of Order-to-Cash (OTC) to own and evolve our billing and collections function as ClickHouse continues to scale. This leader will ensure the integrity, accuracy, and compliance of our billing, collections, and revenue reporting as we prepare for public-company readiness. You’ll work cross-functionally with Revenue Accounting, Sales, Legal, FP&A, and other operations teams to build scalable processes and workflows. What You’ll Be Doing - Establish the operating model, processes, controls, and team structure for a scalable Order-to-Cash function. Hire, develop, and lead the team as the business grows. - Establish policies and guidelines for pay-as-you-go and commit billing models, invoice adjustments, collections strategy, and billing systems change management. - Act as the subject matter expert (SME) for new product/process introduction (NPI) initiatives, including changes to current billing processes and systems. - Own the billing systems tech stack that maps metered usage to contract entitlements and billable usage, in partnership with our Billing Engineering and Finance Systems teams. Drive system and process improvements, including AI adoption, automation initiatives, and integrations to streamline workflows. - Maintain strong AR health through proactive aging reviews, collections coordination with the sales team, and timely resolution of billing inquiries. - Support monthly accounting close activities including reviewing contracts, reconciliations, usage trends, invoice trends, AR write-offs, and analytics. - Support external audit activities and manage PBC requests related to OTC. What You Bring Along - 8+ years of progressive order-to-cash and billing operations experience, including 5+ years focused on billing and collections in a SaaS or technology company. - Experience with automation tools and ERP systems (e.g., NetSuite, Stripe, Salesforce CPQ). - Experience with marketplace platforms (e.g. AWS, Azure, GCP) and reports. - Strong analytical and problem-solving skills, with the ability to interpret complex contracts and data sets. - Excellent organizational skills and attention to detail, with a focus on accuracy and completeness. - Effective communicator with the ability to collaborate cross-functionally and present financial insights clearly. - Experience in designing and maintaining internal controls and documentation to support audit readiness and SOX compliance. #LI-remote 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: United States Workplace: Remote We’re looking for a Senior AR Analyst to own billing and collection activities as ClickHouse continues to scale. This role will help ensure the integrity, accuracy, and compliance of our billing, collections, and downstream revenue reporting as we move towards public-company readiness. You’ll work cross-functionally with Revenue Accounting, Sales, Engineering, and other Operations teams to build scalable processes and workflows. What You’ll Be Doing - Own end-to-end invoicing and collections activities for pay-as-you-go and prepaid commit customers. - Support recurring, and usage-based, billing models across systems for a variety of subscription, invoicing, and payment term configurations. - Drive system and process improvements, including AI adoption, automation initiatives, and integrations to streamline workflows. - Maintain strong AR health through proactive aging reviews, collections coordination with the sales team, and timely resolution of billing inquiries. - Propose quarter-end write-off recommendations and own AR reporting, including aging analysis, allowance for doubtful accounts, and related GL reconciliations. - Support monthly accounting close activities, including contract review, usage validation, invoice verification, journal entries, reconciliations, and analytics. - Support external audit requirements and manage PBC requests related to billing operations. - Support user acceptance testing for new SKU creation, new product launches, pricing models, and business initiatives. What You Bring Along - 3+ years of progressive billing and collections experience at a SaaS or technology company. - Experience with marketplace platforms (e.g. AWS, Azure, GCP) and reports. - Experience with automation tools and ERP systems (e.g., NetSuite, Stripe, Salesforce CPQ). - Strong analytical and problem-solving skills, with the ability to interpret complex contracts and data sets. - Excellent organizational skills and attention to detail, with a focus on accuracy and completeness. - Effective communicator with the ability to collaborate cross-functionally and present information clearly. - Experience executing internal controls and documentation to support audit and SOX compliance. #LI-remote 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: London Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. As a Staff Engineer (Payment Processing) at Checkout.com http://Checkout.com, you will set the technical direction for our Gateway, Routing and Payout platforms. Every payment and payout we process passes through these systems, from the merchant's API request to the routing decision that sends it to the right acquirer, payment method or payout rail. Correctness matters on every transaction, and small changes in availability, latency or routing quality show up directly in our merchants' approval rates and revenue. This is a role for engineers who are energised by scale and by the hard trade-offs that come with it: latency budgets on the authorisation path, failure domains and blast radius, consistency and idempotency across regions, and the operational reality of running critical infrastructure around the clock. You will operate as a force multiplier across multiple teams - shaping architecture, raising the engineering bar, and turning ambiguous, business-critical problems into designs that can be delivered incrementally. We're looking for individuals with deep technical judgement, strong ownership, and a pragmatic approach to breaking big problems into smaller iterations that deliver value continuously. How you'll make an impact - Own the architecture of high-throughput, low-latency distributed systems, defining the service boundaries, data models and integration patterns that let them scale by an order of magnitude - Design for resilience from first principles - redundancy, graceful degradation, backpressure, idempotency and recovery - so that partial failures never become customer-facing outages - Set and defend the non-functional requirements that matter: availability targets, latency percentiles, throughput ceilings, data durability and recovery objectives - Lead the hardest technical decisions end to end, from problem framing and design review through to production rollout, migration and decommissioning of what came before - Drive operational excellence by improving observability, alerting, capacity planning, load and chaos testing, and incident response, and by closing the loop on the root causes you find - Raise the engineering bar across teams through design reviews, code review, pairing and mentorship, growing the senior engineers around you - Partner with product, platform and other engineering teams to sequence delivery, remove blockers and keep multi-team programmes aligned on a single technical direction - Make pragmatic build-versus-buy and refactor-versus-rewrite calls, and communicate the reasoning and trade-offs clearly to both engineers and senior leadership Experience and qualifications - Significant experience building and operating distributed backend systems in production, with a track record of technical leadership across multiple teams - Demonstrable experience designing for high throughput and low latency, and a strong intuition for where systems break under load - Deep understanding of resilience patterns in distributed systems: idempotency, retries and backoff, circuit breaking, queueing and backpressure, consistency and failure modes - Strong proficiency in either .NET or Java, and the ability to write clear, production-ready code that others can maintain - Experience with event-driven and streaming architectures, and with relational and non-relational data stores at scale - Hands-on experience with cloud-based application development (we use AWS & Azure), containers, orchestration and infrastructure as code - Experience owning production systems on call, with a strong sense of ownership for observability, monitoring and incident response - Experience leading complex migrations or re-architectures of live, business-critical systems with no loss of availability or data integrity - Excellent communication skills, able to influence without authority, write clear design documents, and express technical trade-offs to engineering and non-technical audiences alike Nice-to-haves - Experience in payments, financial services or another domain with strict correctness, auditability or regulatory requirements - Experience with multi-region or active-active architectures, including data replication and failover strategies - A history of mentoring engineers into senior and staff-level roles Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

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: 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 looking for a Member of Technical Staff to join our growing Singapore research team. In this role, you will shape the data and evaluation strategies behind our video generation models. You will own the full data lifecycle—from defining data requirements and annotation standards to building high-quality datasets, evaluating model outputs, and translating findings into actionable recommendations for model improvement. You will work closely with research scientists, machine learning engineers, product teams, and external data partners to strengthen the data–model–evaluation feedback loop. What You’ll Do - Define quality standards for video generation across aesthetics, realism, composition, motion, temporal consistency, instruction following, subject consistency, editing preservation, and text rendering. - Evaluate model iterations, analyze failure patterns, and translate findings into actionable data, training, and prompting strategies. - Own end-to-end training data projects, including sourcing, construction, annotation, captioning, quality control, and delivery. - Develop labeling systems that support dataset segmentation, coverage analysis, quality filtering, training-data mixtures, and model performance attribution. - Design annotation and captioning standards for video generation, editing, and multi-reference tasks. - Create and evaluate synthetic-data workflows based on their stability, usability, quality, and training value. - Develop automated annotation and filtering workflows using vision-language models, system prompts, and quality-scoring models. - Build structured model evaluation processes covering test-set design, evaluation criteria, failure attribution, and reporting. - Establish feedback loops connecting model evaluation and negative-case analysis with data strategy and model iteration. - Train and calibrate annotation teams and external data partners, conduct quality audits, and improve delivery standards. - Partner with research, engineering, product, and creative teams to execute data initiatives and identify future model capabilities. What You’ll Bring - Hands-on experience in data strategy, dataset development, annotation, or model evaluation for generative image, video, or multimodal models. - Experience supporting model development across continued training, supervised fine-tuning, post-training, or evaluation. - Strong understanding of generative media tasks, including image and video generation, multimodal generation, and instruction-based editing. - Experience developing labeling taxonomies, annotation guidelines, captioning standards, quality thresholds, and evaluation frameworks. - Strong visual judgment and the ability to translate subjective quality expectations into measurable data and evaluation standards. - Experience managing large-scale data-production or annotation projects and collaborating with research, engineering, creative, and external partner teams. - Familiarity with automated captioning, synthetic-data generation, vision-language models, prompt design, Python, SQL, or other data and workflow automation tools is a plus. 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: Singapore Workplace: Hybrid About Cantina Cantina Labs develops social AI technologies, including real-time models that enable expressive, lifelike characters. Our work connects advances in video generation and multimodal AI with new ways for people to create, communicate and interact. These capabilities underpin our flagship platform, Cantina, and the broader experiences we are building. About the Role We’re looking for a Visual Data Curation Specialist to join our growing research team in Singapore. You will identify and evaluate image and video sources that support the development of our video generation and multimodal models. This role combines visual expertise, research and analytical judgment. You’ll work closely with researchers and engineers to understand data requirements, translate them into sourcing priorities, and develop a systematic approach to assessing content quality and relevance. You’ll own sourcing and curation projects from initial discovery through review and refinement, helping the team make better decisions about the visual data used in model development. What You’ll Do - Identify and evaluate image and video sources across creator communities, specialist websites, archives and platforms such as YouTube, TikTok, Bilibili, Instagram and Vimeo. - Partner with researchers to translate model development priorities into clear sourcing briefs, selection criteria and content categories. - Assess content across aesthetics, technical quality and research relevance, considering factors such as composition, lighting, resolution, camera movement, subject motion and visual consistency. - Build and maintain a structured source catalogue with representative examples, relevant metadata, quality assessments and clear recommendations. - Identify gaps in coverage across subjects, styles, environments and types of motion, and propose targeted sourcing approaches to address them. - Review sample content with research and engineering colleagues, incorporate feedback and refine selection criteria as requirements evolve. - Document source provenance and available usage information, flagging ownership, licensing or access questions for review. - Develop repeatable curation workflows, tagging systems and quality guidelines, and identify tools that improve the efficiency and consistency of the work. What You’ll Bring - Strong visual judgment and the ability to explain how an image or video meets creative, technical, or research requirements. - A background in film, photography, animation, design, visual arts, media, or a related field, demonstrated through education, professional experience, or a portfolio. Prior experience in machine learning is not required. - Strong research skills, including the ability to investigate unfamiliar topics, assess sources, and turn findings into useful recommendations. - A systematic approach to organizing information and confidence using spreadsheets, databases, or digital asset management tools. - Clear communication, with the ability to translate visual observations into precise feedback for technical colleagues. - The ability to work independently, clarify open-ended requirements, prioritize tasks, and take ownership of work quality. - Curiosity about generative AI and the ability to learn new tools and workflows quickly. Prior machine learning experience is not required. Nice to Have - Hands-on experience in photography, filmmaking, video editing, animation, or other visual production. - Experience in content research, editorial curation, digital asset management, or archive research, including knowledge of visual content communities across platforms and cultures. - Familiarity with dataset curation, annotation, quality assurance, or model evaluation. - Experience with generative image or video tools, basic scripting, SQL, or workflow automation. 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: 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: 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 Sierra’s enterprise platform capabilities. You’ll design and build the foundational systems and capabilities that enable Sierra to serve the world’s largest and most demanding enterprises. This includes the identity, access management, integration points, and extensibility that enterprise customers require to allow customers to embed Sierra into their existing ecosystems. - Scale with our largest customers. Our enterprise customers have complex environments, strict security requirements, and high expectations for reliability. You’ll ensure Sierra’s platform scales across organizations, regions, and use cases while maintaining performance and simplicity. - Form the foundation of trust. Enterprise customers trust Sierra with their most sensitive workflows and data. You’ll help set and uphold a high bar for security, compliance readiness, reliability, and operational excellence across the platform. 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 - we have a high-autonomy culture and each team member has lots of agency to overcome obstacles and achieve customer impact. - Alignment to our company values throughout your work, notably finding a balance between Craftsmanship, Customer Obsession, and Competitive Intensity. - 4+ years hands-on experience building production products and systems. - Degree in Computer Science or related field, or equivalent professional experience. EVEN BETTER… - Experience building enterprise features such as SSO, RBAC, IAM, audit logs, or compliance-adjacent systems. - Experience with integrations, APIs, and working with complex customer environments. - Backend-leaning full-stack experience building enterprise SaaS applications. - Security-adjacent experience (e.g., auth, permissions, data isolation, threat modeling). - Experience building AI-powered products or platforms. 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: Remote, Japan GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Senior Solutions Architect, you'll be a trusted advisor to GitLab customers and prospects in Japan. You'll explain how GitLab's artificial intelligence-powered development, security, and operations (DevSecOps) platform addresses customers' business priorities and technical requirements, helping technical leaders and executives evaluate its value. You'll translate technology into business value and help customers make informed adoption decisions. The initial sale isn't the end of the relationship: you'll support continued adoption, new use cases, and expansion into additional products and editions, helping increase GitLab consumption through greater customer value. What you’ll do Lead structured discovery to understand customer business priorities, development processes, challenges, stakeholders, and success criteria. Connect proposed solutions to business value and return on investment. Collaborate with Account Executives on account strategies and customer action plans that move opportunities from technical evaluation to contract. Lead demos, workshops, proofs of concept or value, architecture design, and technical validation, including Linux-based, self-managed, and air-gapped customer environments. Design roadmaps for DevSecOps and artificial intelligence-enabled development across the software development lifecycle. Address processes, roles, governance, and developer experience. Plan the effort and timelines for migrating continuous integration and continuous delivery pipelines from Jenkins to GitLab. Resolve post-sale adoption challenges with post-sales teams and partners, and identify expansion opportunities across use cases, business units, workloads, products, and editions. Build relationships with developers and business and technical leaders. Explain GitLab's competitive differentiation and address objections about existing tools, overlapping artificial intelligence capabilities, cost, and migration effort. Create reusable proposals, architecture diagrams, proof-of-value plans, executive materials, technical content, and success stories. Present at webinars and marketing events to support pipeline development. Share customer feedback and competitive insights with Product Management, Engineering, Sales, and Marketing. Test GitLab, artificial intelligence, DevSecOps, and cloud technologies hands-on, and mentor team members to share best practices. What you’ll bring Experience in technical pre-sales, solutions architecture, consulting, technical sales, or a similar customer-facing role, using structured discovery, value selling, stakeholder mapping, and consensus building. Practical understanding of the software development lifecycle, DevSecOps, security, and cloud technologies, with experience using GitLab or comparable source control, continuous integration and continuous delivery, and developer collaboration platforms. Experience leading demos, workshops, proofs of concept or value, technical proposals, or solution architecture design, and the ability to discuss deployment, security, and operations with customer technical teams. The ability to explain technical trade-offs and business value to developers, technical leaders, and executives, and collaborate with Account Executives on opportunity strategy, adoption, and expansion. Familiarity with retrieval-augmented generation and Model Context Protocol, and the ability to discuss their use in artificial intelligence-enabled development. The ability to mentor team members, share reusable knowledge, and give and receive feedback with empathy and respect for others' expertise. Fluency in Japanese and professional working proficiency in English. Helpful but not required: a background in software development, systems integration, or project or product management. Other useful experience includes developer productivity, cloud-native technologies, enterprise platform governance and rollout, post-sales recommendations, consumption-based models, or creating reusable technical content. About the team The Solutions Architect team is part of GitLab's Sales organization. We work with Sales, Product Management, Engineering, Marketing, post-sales teams, and partners across regions, collaborating asynchronously to share reusable knowledge and best practices. We learn through hands-on testing and iteration, guided by GitLab's values of collaboration, customer results, efficiency, diversity, inclusion and belonging, iteration, and transparency. 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 .