Вакансии

Location: Mexico City Workplace: OnSite The Chainalysis Deployment Strategy team helps public and private sector customers investigate financial crimes involving cryptocurrency. We combine technical knowledge with analytical rigor to support complex investigations and build regional capacity for blockchain analysis. In the LATAM and Caribbean region, our team works directly with customers to enable them in the fast-moving world of cryptocurrency investigations. Along the way, we make the world a safer place. As a Deployment Strategist I, you will support cryptocurrency investigations, conduct research and data analysis, and help deliver training to customers across the LATAM and Caribbean region. You will learn to use Chainalysis tools and data to develop insights on illicit activity trends in crypto, and you will present findings to team members and customers. This is a growth-oriented role for someone eager to build expertise in blockchain analysis while contributing to complex financial crime investigations alongside senior team members.   In this role, you'll: - Support complex cryptocurrency investigations in collaboration with senior team members and cross-functional partners at Chainalysis - Conduct research and data analysis on financial crime cases involving cryptocurrencies, and document your findings in clear reports - Present investigative findings to team members and customers - Assist in reviewing the completeness of investigations and data collection methods to help determine the authenticity and relevance of evidence - Prepare summaries of research and analysis that highlight recommendations, follow-up leads, and potential risks to an investigation - Contribute to the development and delivery of workshops and training materials in English and Spanish - Represent the Chainalysis mission of bringing trust to blockchains with customers and partners in the region   We're looking for candidates who have: - A degree in cybersecurity, criminal justice, intelligence, forensic accounting, data analytics, finance, or a related field - 1-3 years of professional experience in financial crime investigations, intelligence analysis, law enforcement, compliance, or a related analytical role - Strong research skills, including experience with open-source intelligence and public or private databases - Interest in or passion for blockchain and cryptocurrency technology - Fluency in Spanish and English - Strong written and verbal communication skills - Ability to manage multiple tasks and work both independently and as part of a team - Based in Mexico City or willing to relocate Nice to have experience: - Familiarity with Chainalysis products (Reactor, KYT, or similar tools) - Working proficiency in Spanish - Previous experience supporting or conducting investigations related to dark web markets, counter-terrorism financing, or sanctions evasion - Exposure to cryptocurrency exchanges, DeFi protocols, or blockchain technology in a professional setting - Relevant certifications such as CCFC (Chainalysis Cryptocurrency Fundamentals Certification), CDAF, CRC, CCI, CFE, or CAMS AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate. This is not a traditional annotation role. You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines. We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders. Project Details Job Title: Data Labeling Associate Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $34/hour   Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You’ll Do Evaluate AI model outputs and provide structured, high-quality feedback Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios Contribute to improving evaluation frameworks, not just executing them Identify trends in model performance and communicate insights clearly Participate in team discussions, calibrations, and stakeholder syncs Partner with leads and cross-functional teams to refine quality standards Document findings in a clear, concise, and actionable way What We’re Looking For Native-level Tamil language proficiency and a university degree (Bachelor’s or higher). B2 or superior level of English. 1–2 years of professional writing experience with strong, structured writing skills Ability to apply complex writing rules and guidelines consistently Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience Strong critical thinking and attention to detail Ability to make sound judgment calls in ambiguous situations Naturally curious about AI, technology, and how systems behave Comfortable speaking up, asking questions, and contributing ideas Strong written and verbal communication skills Ability to stay consistent while working with evolving guidelines Experience in data quality, QA, annotation, or analysis is helpful — but not required Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.

Location: Remote - Canada What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote Little more about the team: The Storage Team at Honeycomb is the backbone of our platform, responsible for the performance, reliability, and scalability of storing and querying billions of events. We design and own the architecture that powers correct and dependable query results — enabling every product experience from Metrics to Triggers and SLOs. As a senior engineer on Storage, you’ll work on high-impact systems where our customers may never see your code directly, but they’ll rely on it every time they use Honeycomb. What you’ll do in the role: Build and deliver high-quality solutions. You will design and implement solutions that power Honeycomb’s query and data storage infrastructure. Whether it’s improving query performance, evolving the Retriever service, or making our storage layer more reliable, you’re eager to jump in and add value where the team needs it most. Scope and deliver projects independently. You’re comfortable breaking down complex storage and querying problems into achievable steps, surfacing trade-offs, and pulling in teammates when needed. You take ownership end-to-end — from design to production support — reducing toil and ensuring our systems deliver measurable customer and business impact. Collaborate with cross-functional partners. You’ll work closely with Product Management and other engineering teams to connect technical solutions to product needs, from problem discovery through solution design and delivery. Much of our work is behind the scenes, but it enables every Honeycomb product experience, from Metrics to Triggers and SLOs. Support our services in production. We believe in owning the software we build. Every engineer on Storage participates in on-call rotations, helps define team KPIs and SLOs, and proactively reduces toil by addressing reliability challenges before they reach customers. Learn new ways to solve complex problems. As Honeycomb grows, so do the challenges of scaling our systems. You will explore new technologies, data storage techniques, and query optimization strategies to keep performance and reliability strong at scale. Thrive on collaboration. You enjoy pairing, reviewing code, and offering constructive feedback. You model strong ownership and help your teammates grow, while keeping conversations forward-looking and focused on business value. What you’ll bring to the role: Technical leadership in storage and querying. You’ve led the design of patterns and guidelines that improve performance and reliability, and you bring expertise in writing Go along with experience working on high-throughput or complex systems. Prior experience with database engineering is a plus, as is comfort with Kubernetes. Curiosity and experimentation. You learn by digging in — individually, in pairs, or as a team. You ask questions to better understand complex systems, explore trade-offs, and believe in learning from incidents as a way to improve both technology and practices. Focus on business outcomes. You tie technical decisions to customer and company impact, weighing whether work is necessary now or later, and considering how projects affect the broader business. Strength in mentorship and teamwork. You guide engineers through code reviews and help spread knowledge across a team with diverse skillsets so that ownership of critical paths is shared, not siloed. Resilience in collaboration. You thrive in a senior-heavy team, giving and receiving feedback with grace, and contributing to a culture where tough problems and hard conversations lead to better outcomes. Execution with impact. You can scope and deliver complex, multi-team projects while balancing production realities, proactively reducing toil, and ensuring systems deliver measurable customer value. Deep debugging expertise. You’re trusted to diagnose and resolve the toughest production issues across the stack, restoring reliability where others may be stuck. Influence beyond your team. You multiply impact by sharing knowledge, guiding adoption of new technologies, and driving foundational work that benefits Honeycomb engineering as a whole. Base Salary based on level of experience $250,000 — $280,000 CAD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: All communications will come from an @honeycomb.io email address We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses— never personal accounts like Gmail or Yahoo . Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: Social security or tax identification numbers Credit card numbers Bank account information Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice . If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io . Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.

Location: San Francisco, CA; New York, NY 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. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. ABOUT THE TRAVEL, TRANSPORTATION AND HOSPITALITY TEAM - The Travel, Transportation and Hospitality (TTH) supports some of the largest airlines, hotel chains, rental car brands, cruise lines and travel tech companies in the world. Our customers are pioneers in the travel space and are true thought partners in shaping our platform, helping reinvent what hospitality looks like in this new era. Our customers rely on us not only to deliver exceptional customer experiences, but also to drive meaningful growth for their businesses. - Our TTH team is constantly pushing the bounds of what is possible within this industry and beyond. We help support our customers in the moments that matter — whether that’s proactively encouraging new bookings to prepare for exciting events, or helping guests rebook their flights or stays during times of distress. We help our customers maximize the lifetime value of their guests and build products to delight guests at every touchpoint. - We’re a small and scrappy team, and we support each other with any deliverables we have to meet. Every engineer on TTH is also a product-led thinker; every PM on TTH is tinkering and developing tangible prototypes; and every strategist on TTH is capable of owning an agent end to end. As a part of this team, you’ll set the standard for what it means to go beyond your role, and help build the travel industry of the future. WHAT YOU’LL DO As an Agent Strategist https://sierra.ai/blog/agent-strategist-your-phd-in-applied-ai, you own how Sierra’s AI agents come to life for our customers — from first pilot to a production agent handling thousands of conversations a day. You sit at the intersection of product, building agents and customer-facing work, and stay just as close to the technology as you are to the people you build for. You transform a customer’s thorniest, highest-stakes problems into agents that measurably move their business. - Own the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle. Take agents from initial scope through conversation design, tooling, and evaluation, to launch and continuous iteration in production — translating business goals into an agent that outperforms, and tuning relentlessly until it’s the best version of itself in the real world. You’ll have real ownership and autonomy over the outcome. - Be the trusted strategic advisor to enterprise leaders. Sit shoulder-to-shoulder with our customers’ executives, understand what success actually means to their business, and shape the AI strategy that gets them there. - Partner with the customer’s working teams day to day. Run working sessions, troubleshoot the agent as issues come up, and make the calls that keep the build on track for launch. - Directly impact product. Surface unmet needs from your customer work, and feed them back to research and platform to shape where Sierra goes next. EXAMPLE PROJECTS These are the kinds of projects that strategists on our team have worked on recently: - Scope and launch a subscription-retention agent for a large telecommunications or media company that consistently outperforms human agents at saving at-risk customers. - Stand up an agent for a commerce customer that troubleshoots a broken device end-to-end and personalizes product recommendations in the same conversation. - Redesign the conversation flows for a financial services agent so it can handle complex, regulated interactions — and convert a pilot into a multi-team production deployment. See our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services for examples. - Partner with product on a net-new capability — a new agent architecture or self-service tooling — using a live customer as the design partner. - Define the evaluation and quality bar for a new agent, then use those metrics to drive a measurable lift in outcome https://sierra.ai/blog/outcome-based-pricing-for-ai-agents week over week. WHAT YOU’LL BRING - Customer obsession. Genuine energy being in front of customers — understanding their business and needs, thriving in complex organizations, and building trusted relationships. - Communication. Clear, direct, and persuasive across technical and non-technical audiences. - Strategic problem-solving in ambiguity. Strong analytical and critical-thinking skills to break down complex problems, spot risks early, and adapt as things change fast. - Technical aptitude. Comfortable engaging directly with technical concepts - reading API documentation, understanding data models and system architecture, and following engineering tradeoffs in a design discussion. - Ownership and delivery. A track record of running multiple complex, high-visibility projects at once and driving them to outcomes. EVEN BETTER... - Experience building or deploying AI/LLM agents in production — hands-on with the tools behind them (eval frameworks, agent tooling, RAG, prompt engineering) — working closely with technical counterparts. - You’ve been a founder, founding team member, or operator — you know how to balance craft, ownership, and speed. - A degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience — and/or an MBA or comparable experience at the intersection of technology and business. 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 - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - 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 employment type, 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 through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: New York, NY Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE TEAM The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done. ABOUT THE ROLE We're looking for a Product Manager to own key parts of LangSmith. Building AI products is changing the way software teams work; LangSmith is the observability, evals and deployment platform that makes shipping reliable AI systems possible. WHAT YOU'LL DO This role sits at the intersection of user experience and production infrastructure. You'll partner with engineers to build features that feel intuitive while solving deeply technical problems: versioning complex prompt chains, debugging multi-step agent failures, or designing evaluation systems that scale from 10 to 10,000 test cases. You'll work directly with customers — from early-stage startups shipping their first agent to enterprises running mission-critical AI systems — to understand where the platform breaks down and what capabilities unlock new workflows. - Own the roadmap for a core area of the LangSmith platform. - Work with customers to understand their challenges and define new product features. - Work with engineering to define scope, make technical tradeoffs, and ship high-impact features quickly. - Help shape product strategy alongside our founders and leadership team. WHAT YOU'LL BRING - 3+ years of product management or engineering experience, ideally building developer tools, infrastructure products, or technical SaaS platforms. - Deeply technical — you can hold your own in conversations about API design, system architecture, data pipelines, and debugging production issues. - Bias toward action — you'd rather ship, learn, and iterate than build the perfect solution upfront. - Strong written and verbal communicator who can align cross-functional teams around a shared vision. NICE TO HAVE - Computer Science, Engineering, or equivalent technical background. - Previous experience at a high-growth startup or developer-focused company. - Hands-on experience building with LLMs, agents, or AI applications. - Annual salary range: $180,000-$240,000 COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Porto, Portugal Workplace: hybrid TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization. We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact? We are seeking an experienced Team Lead – Technical Project Management, EMEA to lead a team of Technical Project Managers delivering enterprise software and integration projects across the EMEA and APAC regions. Responsibilities This role is focused on people leadership, customer management, portfolio oversight, resource planning, and delivery governance. The Team Lead will coach and develop TPMs, maintain visibility into project health and risks, support challenging customer engagements, and ensure consistent delivery practices across the region. The successful candidate will serve as the primary EMEA and APAC counterpart to global delivery leadership, providing clear visibility into project status, customer concerns, resource needs, and issues requiring escalation. This position is based in Porto, Portugal. Below are the responsibilities for the role: Lead, coach, and develop Technical Project Managers, including performance management, career development, and regular feedback. Maintain oversight of EMEA customer projects, including project health, milestones, risks, dependencies, and customer concerns. Serve as a leadership escalation point for complex delivery and customer issues. Join customer engagements when necessary to support TPMs and drive issues toward resolution. Coach TPMs through challenging projects and customer situations while developing greater independence and leadership capability within the team. Manage TPM project assignments, workload, capacity, and resource priorities across the region. Provide regular portfolio updates to global delivery leadership and proactively escalate significant risks or resource constraints. Ensure consistent project governance, status reporting, risk management, escalation, and stakeholder communication. Coordinate with Product, Engineering, Support, Sales, and other internal teams to resolve cross-functional delivery challenges. Identify recurring delivery challenges and improve project management processes, tools, and best practices. Build a collaborative, accountable, and customer-focused team culture. Requirements Proven experience directly managing, coaching, and developing Project Managers, Technical Project Managers, or similar delivery professionals. Strong experience managing enterprise customers, customer expectations, difficult conversations, and escalations. Experience overseeing multiple concurrent enterprise software projects and maintaining portfolio-level visibility into project health and risk. Strong resource management, prioritization, organizational, and problem-solving skills. Experience delivering enterprise software or technology projects. Excellent communication, interpersonal, coaching, and leadership skills. Fluent professional English and German are required. Ability to work effectively with distributed teams and customers across the EMEA region. Enterprise integration knowledge, strong working knowledge of REST APIs, system integrations, authentication, and data exchange. Based in or able to work from Porto, Portugal. The following are some nice to have requirements: Previous experience as a Technical Project Manager, Technical Program Manager, Solutions Architect, Engineer, or similar technical role. Familiarity with cloud infrastructure, Kubernetes, networking, CI/CD, and modern DevOps practices. Experience with ERP, WMS, CRM, or other enterprise systems. Experience working within a global software organization. Experience with Agile or Scrum-based software delivery. Bachelor’s degree in Computer Science, Engineering, Business, Project Management, or a related field. Professional proficiency in additional European languages. What we offer Onsite Onboarding in our HQ office for an optimal start Great compensation and benefits packages including company achievement bonus or sales bonus and regular salary reviews Public transport friendly offices Special terms for local gyms Access to Corporate Benefits platform with many discounts Regular Team events and company-wide celebrations Open door policy , no dress code rules, frequent all Hands and Leadership Lunches Hybrid and Flexible work time Work From Abroad Program allowing up to 40 days of work outside your contracting country We celebrate diversity as one of core values, join and drive one of the c-a-r-e initiatives together with us! TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race. If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.

Location: Porto, Portugal Workplace: hybrid TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization. We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact? Responsibilities We are seeking a Technical Project Manager (TPM) to support the delivery of enterprise software and integration projects for customers across the EMEA region. This role is ideal for someone with a strong technical foundation who wants to develop their career in technical project management. Candidates may come from software development, engineering, technical consulting, implementation, or project delivery backgrounds. The TPM will work directly with customers, developers, and internal teams to coordinate software delivery, manage project activities, and translate between technical and business stakeholders. Prior experience working with large enterprise systems is beneficial but is not required. The ideal candidate has approximately 3–5 years of relevant professional experience, strong technical aptitude, and the ability to develop both customer-facing and project leadership skills. This position is based in Porto, Portugal. Below are the responsibilities for the role: Manage enterprise software projects across EMEA from discovery through deployment and post-launch support. Work with customers to understand technical requirements, business objectives, timelines, and success criteria. Coordinate activities between customers, developers, Product, and other internal stakeholders. Manage project plans, timelines, deliverables, dependencies, risks, and action items. Participate in technical discussions involving APIs, applications, cloud infrastructure, databases, and integrations. Translate customer requirements and business needs into clear information for technical teams. Coordinate testing, validation, release planning, and deployment activities. Support troubleshooting and root-cause analysis for customer and system issues. Identify project risks and escalate issues when additional technical or leadership support is required. Provide clear and consistent project status communication to customers and internal leadership. Develop knowledge of enterprise software delivery, customer systems, and integration practices. Promote strong project documentation, communication, and cross-functional collaboration. Requirements 3–5 years of relevant professional experience in software development, technical project delivery, engineering, implementation, technical consulting, or a related field. Strong technical aptitude and understanding of software development concepts. Ability to communicate effectively with software engineers and understand technical requirements and dependencies. Familiarity with APIs, applications, databases, networking, cloud technologies, or similar software concepts. Strong organizational skills and ability to manage priorities, timelines, and multiple workstreams. Strong analytical and problem-solving skills. Excellent interpersonal and communication skills with the ability to work directly with customers. Desire to develop project management and customer leadership capabilities. Fluent professional English. Ability to work effectively with distributed teams and customers across the EMEA region. Based in or able to work from Porto, Portugal. The following are some nice to have requirements: Experience integrating software with customer enterprise systems or systems of record. Experience reading, writing, or exchanging data with ERP, WMS, CRM, MES, or other enterprise platforms. Previous experience managing customer-facing software projects. Experience with REST APIs and integration workflows. Experience with Java, Kotlin, TypeScript, JavaScript, React, or Android. Familiarity with Kubernetes, cloud-native environments, MySQL, MS SQL, or OpenAPI. Previous software development or engineering experience. Familiarity with wearable technologies, IoT integrations, frontline workforce applications, logistics, or manufacturing. Experience working in Agile or Scrum environments. Bachelor’s degree in Computer Science, Engineering, or a related technical field. Additional European language proficiency. What we offer Onsite Onboarding in our HQ office for an optimal start Great compensation and benefits packages including company achievement bonus or sales bonus and regular salary reviews Public transport friendly offices Special terms for local gyms Access to Corporate Benefits platform with many discounts Regular Team events and company-wide celebrations Open door policy , no dress code rules, frequent all Hands and Leadership Lunches Hybrid and Flexible work time Work From Abroad Program allowing up to 40 days of work outside your contracting country We celebrate diversity as one of core values, join and drive one of the c-a-r-e initiatives together with us! TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race. If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.

Location: Porto, Portugal Workplace: hybrid TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization. We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact? Responsibilities We are seeking an experienced Senior Technical Project Manager (TPM) to lead complex enterprise software and integration projects for customers across the EMEA region. The Senior TPM will own projects from discovery through deployment, serving as the primary bridge between enterprise customers, engineering teams, product teams, and internal stakeholders. This role requires strong technical knowledge combined with proven experience integrating software with customer enterprise systems and systems of record. The ideal candidate has 8–10+ years of relevant experience delivering technical software projects and is comfortable leading complex customer engagements involving APIs, enterprise integrations, cloud infrastructure, mobile applications, and distributed systems. This position is based in Porto, Portugal. Below are the responsibilities for the role: Lead complex enterprise software and integration projects across EMEA from discovery through deployment and post-launch support. Serve as the primary technical and delivery liaison between enterprise customers, engineering teams, Product, and other internal stakeholders. Collaborate with customers to understand business objectives, technical requirements, timelines, and success criteria. Translate customer business and technical requirements into actionable project and integration plans. Lead integrations with customer systems of record, including the exchange, reading, writing, and synchronization of business data. Coordinate development involving APIs, backend services, mobile applications, cloud infrastructure, databases, and enterprise systems. Manage project timelines, deliverables, dependencies, risks, priorities, and customer expectations across multiple concurrent initiatives. Facilitate technical and architectural discussions between customer and internal engineering teams. Lead testing, validation, release planning, and production readiness. Drive structured troubleshooting and root-cause analysis for complex customer and integration issues. Proactively identify project risks and drive mitigation and escalation plans. Provide clear project status, risk, and technical communication to customers and internal leadership. Mentor and support less experienced TPMs when appropriate. Promote best practices in project delivery, technical documentation, and cross-functional collaboration. Requirements 8–10+ years of relevant experience in technical project management, software delivery, software engineering, enterprise integrations, or related roles. Strong technical background with the ability to work directly with software engineers and customer technical teams. Proven experience integrating software with customer enterprise systems and systems of record. Experience designing or delivering integrations that read, write, and exchange data with external customer systems. Strong experience with REST APIs, integration workflows, authentication, and system-to-system communication. Experience delivering complex enterprise software projects from requirements and discovery through production deployment. Understanding of cloud environments, networking, databases, application architecture, and containerized applications. Strong troubleshooting and root-cause analysis capabilities. Strong enterprise customer-facing and stakeholder-management experience. Proven ability to independently manage complex projects, risks, dependencies, and escalations. Excellent communication, organizational, analytical, and problem-solving skills. Fluent professional English. Ability to work effectively with customers and distributed teams across the EMEA region. Based in or able to work from Porto, Portugal. The following are some nice to have requirements: Experience with ERP, WMS, CRM, MES, or similar enterprise platforms. Experience with platforms such as SAP or other business-critical enterprise systems. Experience with Java, Kotlin, TypeScript, JavaScript, React, or Android. Experience with Kubernetes and cloud-native environments. Experience with MySQL, MS SQL, OpenAPI, and API lifecycle management. Familiarity with wearable technologies, IoT integrations, frontline workforce applications, logistics, or manufacturing. Experience with DevOps practices and Agile or Scrum-based development. Bachelor’s degree in Computer Science, Engineering, or a related technical field. Additional European language proficiency. What we offer Onsite Onboarding in our HQ office for an optimal start Great compensation and benefits packages including company achievement bonus or sales bonus and regular salary reviews Public transport friendly offices Special terms for local gyms Access to Corporate Benefits platform with many discounts Regular Team events and company-wide celebrations Open door policy , no dress code rules, frequent all Hands and Leadership Lunches Hybrid and Flexible work time Work From Abroad Program allowing up to 40 days of work outside your contracting country We celebrate diversity as one of core values, join and drive one of the c-a-r-e initiatives together with us! TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race. If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Every time Claude runs code, uses a computer, or works as an agent, it does so inside a sandbox. Our Sandboxing team builds the isolation layer behind that work. The same systems run the code Claude writes for users, the environments we train and evaluate models in, and the agents our customers deploy. These workloads are untrusted by design, and there are a lot of them. Sandboxes need to start in milliseconds, hold up under adversarial code, and scale to a very large number of concurrent sessions. You will work at the boundary between the Linux kernel, virtualization, and the container ecosystem. You will partner with research, product, and security teams to make sure that safe and fast do not trade off against each other. Key responsibilities Design, build, and operate the sandboxing infrastructure that runs untrusted, model-generated code and agent workloads at scale Improve sandbox startup time, density, and throughput, including snapshot and restore, checkpointing, and warm pools Strengthen isolation across compute, filesystem, and network, including egress controls and per-session credential handling Investigate and fix performance, reliability, and security issues at the kernel, hypervisor, and container runtime level Build the monitoring, tracing, and debugging tools that show where time and resources go inside a sandbox Work with researchers to support reinforcement learning environments and evaluations that need fast, reproducible, isolated execution Work with product and platform engineers to expose sandboxes as a dependable, well-designed capability for Claude products and customers Partner with security teams to threat-model the platform and to test, harden, and respond to escape and abuse scenarios Work with cloud providers on the hardware and platform features that our workloads depend on Share knowledge on systems programming and Linux internals, and help set technical standards for the team Minimum qualifications Software engineering experience in Linux systems programming, kernel development, or another low-level area Strong programming skills in at least one systems language such as Rust, C, C++, or Go Working knowledge of virtualization or container isolation technologies such as KVM, QEMU, Firecracker, gVisor, or runc Understanding of Linux resource management, including namespaces, cgroups, scheduling, and memory management Experience profiling and debugging performance issues at the system level Ability to work in unfamiliar codebases and technical areas, and to ship practical solutions with measurable results Strong communication skills and a commitment to building safe, reliable systems Preferred qualifications Experience building or operating a multi-tenant sandbox, serverless, or code execution platform Experience with microVMs, user-space kernels, or lightweight virtualization, including snapshot and restore Experience with OS-level security hardening, including seccomp, LSMs, and threat modeling of untrusted code Experience with eBPF and kernel tracing tools Experience with Kubernetes and cloud infrastructure at scale (AWS, GCP) Experience with network isolation, high-performance networking, or building egress proxies and policy layers Experience with sandboxes for AI agents, computer use, or reinforcement learning environments Experience with GPU virtualization, accelerators, or performance work on machine learning workloads Prior experience as a technical lead or mentor Representative projects Cutting sandbox cold start from seconds to milliseconds with snapshot-based restore and pre-warmed pools Designing a network egress policy layer so agents can reach approved services without exposing secrets Running many thousands of parallel reinforcement learning environments with strong isolation between them Building tracing tools that attribute latency and resource use inside a running sandbox Reducing per-sandbox memory overhead to raise density on each host Hardening the runtime against escape attempts found in internal red-team exercises The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote Workplace: Remote Hi, we’re Gravie. Our mission is to create health benefits that actually benefit small and midsize businesses and their employees. Our innovative benefit solutions and services are developed and delivered by a diverse group of unique people. We encourage you to be your authentic self - we like you that way. ROLE SUMMARY Gravie is seeking a Senior Platform Engineer to build and operate the platform our engineering teams ship on. AWS should be second nature: deep enough to reach for it before documentation, and you should be as comfortable working alongside AI agents as in a terminal. The ideal candidate has genuinely operational AWS expertise, has worked in or closely with a platform team before, and knows a platform only succeeds when engineers choose it. They will own shared infrastructure, pipelines, and tooling end to end, partner with our architecture team on turning direction into paved paths teams actually adopt, and treat the engineers who use the platform as the customers they are. At Gravie, engineers work closely with Product and own outcomes end to end, and we practice agentic development to increase the scope and leverage of that ownership: engineers use AI agents to help develop specs and plans, then to execute substantial multi-step engineering work, while setting guardrails and acceptance criteria and owning the quality of everything that ships. As agents take on more of the execution, the bar on problem framing, architectural judgment, system thinking, and risk identification gets higher, not lower. HOW OUR PLATFORM TEAM WORKS If you have worked on a platform team, this will be familiar. If you have not, read it carefully, because it is the job. - The platform is a product and engineers are its users. Adoption is the measure of success, not tickets closed. If teams route around something we built, that is our problem to solve, not their failure to comply. - Self-service over gatekeeping. If the answer to a common request is a ticket to us, that is a bug in the platform. - We pave roads, we do not police them. Standards belong in pipelines, templates, and defaults, not in reminders and review comments. - Small team, wide surface. Leverage matters more than heroics, which is why AI tooling and automation are not side projects here - they are how the surface stays covered. - We operate what we ship. On-call for platform services is ours. So is the postmortem, and so is fixing the class of problem rather than the instance. - Documentation is a deliverable. A capability nobody can find or adopt without asking us is not finished. KEY RESPONSIBILITIES - Build and operate the shared platform: CI/CD pipelines, service templates, deployment tooling, and the shared infrastructure services teams depend on. - Own AWS infrastructure as code across multiple accounts, in Terraform, CDK, or both, held to the same standard as application code, including review, testing, and a real rollback story. - Implement and sustain the paved paths teams build on, partnering with architecture on direction while owning the operational reality once a path is live. - Operate what you build: on-call for platform services, incident response, the postmortem, and fixing the class of problem rather than the instance. - Build observability in by default: metrics, logs, traces, SLOs, and alerts that page a human only when a human is actually needed. - Own platform security posture alongside Security: identity and permission boundaries, secrets handling, network and data isolation, and remediation of findings in a HIPAA and SOC 2 environment. - Make cloud spend attributable and defensible through tagging discipline, cost visibility, and removing waste before it compounds. - Use AI agents as a normal part of daily workflow, and build them into the platform where they create leverage, including code review, alert triage, migrations, and repetitive remediation. - Automate toil out of the platform, reducing the number of requests that require a person at all, and measure whether it worked. - Treat documentation and developer onboarding as part of the deliverable, so teams can adopt platform capability without asking first. - Drive adoption of platform capability and standards, including the unglamorous migration work needed to move existing services. - Raise the engineering bar through code review and mentorship, and help other engineers get more out of AI tooling. QUALIFICATIONS - Five or more years of software or infrastructure engineering experience, including ownership of production systems that you also operated. - AWS to a depth that is genuinely second nature - reasoning about IAM policy evaluation, VPC routing and DNS, and container or serverless runtime behavior without reaching for documentation first, and having been the person who diagnosed it under real pressure. - Hands-on ownership of a multi-account AWS environment, including identity boundaries, networking, managed data services, and cost and tagging governance. - Infrastructure as code as your default rather than your fallback, in Terraform, CDK, or both, including how you review it, test it, and reason about blast radius before applying it. - Strong CI/CD engineering, including shared or templated pipelines consumed by more than one team. - Experience working in or closely with a platform, infrastructure, or developer experience team, and a clear point of view on what makes a platform get adopted rather than merely tolerated. - Real comfort with AI tooling in daily engineering work - using coding agents such as Claude Code to do meaningful multi-step work, able to describe where they fail and how you catch it, and keeping ownership of what ships. - Production operations experience: on-call, incident response, postmortems, and SLO thinking. - Strong programming ability in at least one language such as Python, Go, TypeScript, or a JVM language, enough to build tooling rather than only configure it. - Sound judgment on security, secrets, access control, and data handling, ideally in a regulated or audited environment. - Clear written communication - on a platform team, documentation and a well-argued change proposal are load-bearing, not overhead. PREFERRED QUALIFICATIONS - Healthcare or another regulated domain, including HIPAA and SOC 2 obligations. - Previous experience in a venture-backed high growth company. - GitLab CI at scale, including templated pipelines with typed inputs consumed across many repositories. - Datadog in depth: monitors, dashboards, SLOs, and keeping observability cost under control. - Container orchestration at production scale, such as ECS or Kubernetes. - Building AI tooling rather than only using it, such as MCP servers, Claude Code plugins or skills, or agent harnesses. - Dependency and currency automation, such as Renovate, and the lifecycle policy around it. - Delivery metrics work, including DORA, and the definitional arguments that come with it. - Familiarity with Team Topologies vocabulary and where platform teams fit alongside stream-aligned and enabling teams. - Experience decommissioning a platform capability, not only launching one. A LITTLE MORE ABOUT US: - We know healthcare. Our company was founded and is still led by industry veterans who have started and grown several market-leading companies in the space. - We have raised money from top tier investors who share the same long-term vision as we do of building an industry defining company that will endure over the long run. We are well capitalized. - Our clients love us. Customer satisfaction rates among employees using Gravie health plans consistently rank above 80% – nearly 40 points above the industry average. - Our culture is unique. We tend to be non-hierarchical, merit-driven, opinionated but kind people who thrive working in a high-performance, fast-paced environment. People at Gravie care deeply about making a positive impact in the lives of the people we serve. BENEFITS Our unique benefits program is the gravy, i.e., the special sauce that sets our compensation package apart. In addition to standard health and wellness benefits, Gravie’s package includes alternative medicine coverage, flexible PTO, up to 16 weeks paid parental leave, paid holidays, a 401k program, transportation perks, education reimbursement, and 2 days of paid paw-ternity leave. JOB APPLICANTS If you apply for employment with Gravie, personal information collected via our applicant tracking vendor is subject to our standalone California Job Applicant Notice at Collection, accessible directly within the application workflow and separate from this Policy.

Location: Remote Workplace: Remote Hi, we’re Gravie. Our mission is to create health benefits that actually benefit small and midsize businesses and their employees. Our innovative benefit solutions and services are developed and delivered by a diverse group of unique people. We encourage you to be your authentic self - we like you that way. ROLE SUMMARY Gravie is seeking a hands-on Staff Platform Engineer to do three things at once: build the golden roads and paved paths our engineering teams build on, define the north star architecture the organization moves toward, and design and deliver our AI-enabled capabilities. This is the hub role for technical direction at Gravie: long-term architectural direction and the standards that carry it converge here and radiate outward across teams. The ideal candidate combines deep distributed systems and AWS experience with real production generative AI experience, and is equally credible building a paved path teams voluntarily adopt and setting a target-state architecture the whole organization will inherit. They have established standards, reference implementations, and paved roads that engineers actually use, not just architecture documents. They will partner across Engineering, Product, Data, Security, and Infrastructure, and will work most closely with our Platform Engineering team, which is the primary vehicle for making change stick across the organization. At Gravie, engineers work closely with Product and own outcomes end to end, and we practice agentic development to increase the scope and leverage of that ownership: engineers use AI agents to help develop specs and plans, then to execute substantial multi-step engineering work, while setting guardrails and acceptance criteria and owning the quality of everything that ships. As agents take on more of the execution, the bar on problem framing, architectural judgment, system thinking, and risk identification gets higher, not lower. This is a deliberately split role: roughly 40% golden roads and paved paths (hands-on, reference implementations, shared libraries, service templates, scaffolding, pipelines - a path isn't paved until a team other than yours has shipped on it), 30% north star architecture (published decisions that get adopted and enforced by tooling, not just written down), and 30% AI solutions (agent systems, retrieval and context design, evaluation, and guardrails). The mix shifts by quarter. Being the hub does not mean being the bottleneck - a good year looks like teams making more decisions on their own because direction and the paved path are clear enough to follow without asking. The role is planned and reviewed on this split, not funded out of leftover capacity; part of the job is saying out loud when the split is breaking toward a support desk. KEY RESPONSIBILITIES - Build the paved paths teams build on, including reference implementations, shared libraries, service templates, scaffolding, and pipeline templates, so the recommended way is also the easiest way. - Treat the paved road as a product with real users: measure adoption and time to first success, and fix the parts people route around. - Do the first real implementation yourself, on a real workload with a real team, not in a demo repository. - Build the distributed systems patterns the paths encode: backend services, event-driven workers, job pipelines, APIs, and relational data models. - Partner with the Platform Engineering team as the primary delivery vehicle - build paved paths with them, plan into their roadmap, and hand off sustaining ownership of what becomes shared infrastructure. - Own migration and adoption, including moving existing services onto the path and retiring what it replaces. - Stay in code review across teams and close to production incidents as primary evidence of where the path is failing. - Define and publish the target-state architecture, with clear owners and decision dates, and keep it current as the business changes. - Own the AWS foundations product and AI workloads depend on: multi-account structure and identity boundaries, network and data isolation, compute and serverless runtimes, managed data services, and tagging and cost governance. - Drive standards adoption to completion - from documents into pipelines, with adoption measured across repositories and teams. - Lead buy, build, and reuse decisions, evaluating models, frameworks, and vendors on accuracy, latency, reliability, privacy, security, and cost evidence. - Reduce surface area as deliberately as you add it - consolidate overlapping tools and standards and own the sunset path for what gets replaced. - Design and build production-grade AI agent systems, including multi-agent workflows, orchestration layers, and supporting services. - Design retrieval, context, and memory systems that ground AI outputs, including how sensitive data is scoped, redacted, and audited. - Develop AI-powered decision-support systems meeting the accuracy, traceability, and explainability requirements of healthcare and other regulated environments. - Build product-quality user experiences using React and TypeScript where AI capability has to become understandable and actionable. - Establish patterns for AI quality assurance - automated evaluations, regression testing, groundedness checks, and compliance guardrails - so those requirements are met by default. - Establish one standard way to build, run, evaluate, and operate AI systems. - Act as the connective point across teams: surface duplicated effort, pick up decisions with no owner, and align teams heading toward the same problem. - Drive cross-team communication - writing, demos, and working sessions - so direction and tradeoffs are understood by teams not in the room. - Build alignment where incentives differ across teams, and surface disagreement rather than resolving it quietly. - Contribute to roadmap and capacity planning so paved path, foundational, and AI work is sequenced alongside product commitments. - Work through the Platform Engineering team to effect change at organization scale rather than standing up competing surfaces. - Facilitate collaboration between engineering teams, Product, Data, Security, and Infrastructure, including running forums where cross-cutting work gets planned and unblocked. - Represent technical direction to leadership and carry business context back to engineering. - Partner with Product to shape the roadmap and translate ambiguous business problems into architecture. - Raise the engineering bar through design review, mentorship, and a working decision-record practice, and make architectural context available to both engineers and agents. - Partner with Security, Compliance, and Data on AI governance, access control, and data handling, designed in rather than retrofitted. QUALIFICATIONS - Eight or more years of software engineering experience, including time with architecture scope and an organization-wide remit, and ownership of complex systems from design through production. - Still shipping: writes and reviews code today, can open a meaningful merge request in an unfamiliar codebase within the first weeks. - Experience building internal platform capability that other teams voluntarily adopted - can name the paved path or golden road built, how many teams moved onto it, and what they routed around. - Hands-on experience building and operating production AI applications, not only prototypes, including evaluation, monitoring, failure handling, guardrails, latency, and cost control. - Deep AWS expertise across a multi-account organization: identity and permission boundaries, networking, compute and serverless runtimes, managed data services, managed model services, and cost and tagging governance. Infrastructure as code in Terraform, CDK, or both. - A track record of establishing architectural foundations where little existed - specific standards introduced, how they were adopted by teams that did not report to the candidate, and which failed and why. - Hands-on experience with agentic software development - using AI coding agents to create specs and plans, execute meaningful multi-step work, run and fix tests, validate results, and iterate while owning architecture, quality, and what ships. - Deep expertise in at least one primary area (Python or JVM backend and distributed systems, or React and TypeScript product engineering), plus ability to work across the full system. - Experience with retrieval, embeddings, context, memory, evaluation, monitoring, or AI agent architectures and workflows. - Strong judgment in testing, monitoring, failure handling, privacy, security, access control, and data governance, carried into a regulated or audited environment. - Experience working with or inside a platform or infrastructure team as the delivery vehicle for organization-wide change, including how ownership was divided and how a parallel platform was avoided. - Experience serving as a central technical point across multiple teams, with evidence of making those teams faster rather than becoming their approval gate. - Demonstrated ability to create alignment across disagreeing teams, and to contribute to roadmap and capacity planning so foundational work is actually scheduled. - Clear written communication and effective collaboration across technical and non-technical teams; influence without authority is the primary tool of this role. PREFERRED QUALIFICATIONS - Healthcare, health insurance, or benefits administration, including ICHRA, claims, eligibility and enrollment, or interoperability standards such as EDI and FHIR. - Previous experience in a venture-backed high growth company. - Internal developer platform or developer experience work, including golden path or paved road programs and adoption measurement. - Experience with GitLab CI at scale, including shared and templated pipelines. - Production observability and LLM observability practice, including Datadog. - Event-driven and streaming architecture, such as Kafka or Flink. - Practical experience with agent tooling and standards such as Claude Code, the Model Context Protocol, and agent SDKs. - Experience defining an AI governance or technology radar process alongside a security or compliance partner. A LITTLE MORE ABOUT US: - We know healthcare. Our company was founded and is still led by industry veterans who have started and grown several market-leading companies in the space. - We have raised money from top tier investors who share the same long-term vision as we do of building an industry defining company that will endure over the long run. We are well capitalized. - Our clients love us. Customer satisfaction rates among employees using Gravie health plans consistently rank above 80% – nearly 40 points above the industry average. - Our culture is unique. We tend to be non-hierarchical, merit-driven, opinionated but kind people who thrive working in a high-performance, fast-paced environment. People at Gravie care deeply about making a positive impact in the lives of the people we serve. BENEFITS Our unique benefits program is the gravy, i.e., the special sauce that sets our compensation package apart. In addition to standard health and wellness benefits, Gravie’s package includes alternative medicine coverage, flexible PTO, up to 16 weeks paid parental leave, paid holidays, a 401k program, transportation perks, education reimbursement, and 2 days of paid paw-ternity leave. JOB APPLICANTS If you apply for employment with Gravie, personal information collected via our applicant tracking vendor is subject to our standalone California Job Applicant Notice at Collection, accessible directly within the application workflow and separate from this Policy.

Location: United Kingdom (Hybrid) Workplace: Hybrid Most money apps talk at you. Cleo talks back ✨ We're not building another finance app. We're building the world's first AI financial assistant, one that actually understands your money and makes you better at it, and we're changing the world's relationship with money in the process 💰 For everyone, whatever their background or balance. The proof: profitable, fast-growing, a unicorn with over $300M in ARR, and millions of people who now feel differently about their money. We love original thinkers who challenge the status quo. We move fast, tell the truth, and there's nowhere to hide from good work here. If that excites you more than it scares you, you'll fit right in. Follow us on LinkedIn https://www.linkedin.com/company/cleo-ai/ for new features and the occasional roast 🔥 MEET THE TEAM 👥 Here at Cleo we have ~35 Product Managers owning and running Squads across our Pillars. Product Management defines what Cleo builds and why it matters. From setting direction to prioritising what ships, Product ensures we’re solving the right problems for our users and the business. As we scale, this shifts from “managing a roadmap” to “shaping the long-term vision and impact of Cleo’s products.” ✨ ABOUT THE ROLE ✍️ We’re hiring a Senior Product Manager to own Cleo’s payment rails and money-movement roadmap - how customers bring money in, move it across Cleo products, and access it when they need it. You’ll define the future of direct deposit, internal transfers, and intelligent funding orchestration, working closely with Engineering, Risk, Compliance, and our banking and card partners. Key responsibilities - Own the roadmap for how customers move money into, around, and out of Cleo - direct deposit top-ups, internal transfers (card, EWA, secured credit card, Wealth products), and outbound movement. - Build deep fluency in US payment rails (ACH, FedNow, card network rails) and the interchange/cost structure underneath them; represent Cleo in shaping partner roadmaps with the likes of Marqeta and Mastercard. - Partner with banking and processing partners (e.g., TabaPay-type partners, partner banks) to orchestrate money movement - this is not a "we are the platform" role; it's about working fluently across multiple partners and rails. - Develop a point of view on stablecoin and crypto as a future rail for moving money in and out of Cleo, and bring that thinking into the roadmap. - Contribute to the intelligent funding orchestration vision - determining at the point of a transaction what funding source (EWA, BNPL, savings, checking) best serves the customer, with consent, and executing that agentically. - Set and communicate a clear narrative for why payment rails and money movement matter - this space is not well understood internally, and you'll need to make the case repeatedly to stakeholders who don't have payments backgrounds. - Maintain flawless execution and attention to detail on cash inflow/outflow while also building the longer-term vision. WHAT WE'RE LOOKING FOR 🕵️ Must-have - Deep, hands-on US payment rails experience (ACH, card networks, interchange economics) - recent and substantial, not adjacent. - Experience working across multiple payment partners/rails rather than as "the platform" itself - e.g., time at a card program, neobank, or fintech that works with partner banks and processors. - Comfort owning ambiguity and setting vision where none has been defined yet. - Strong narrative/storytelling ability paired with flawless execution. Nice-to-have - Fluency in crypto/stablecoin as a payment rail, with a point of view on where the industry is heading. - International payment rails exposure (e.g., UK), given Cleo's card expansion - explicitly lower priority than US rails depth. WHAT WE OFFER We offer benefits package built to support you in and out of work. Benefits vary by country 🌍 and include meaningful equity, comprehensive health insurance, mental health support, a paid one-month sabbatical after four years, a learning & development platform, pension or retirement contributions, and location-specific leave entitlements. For the full breakdown on what's available in your location, visit our Candidate Hub https://meetcleo.notion.site/Cleo-Candidate-Hub-3b95c63b874580e9a068fdc6c8929ebf 👈 WHAT MATTERS Cleo's mission is to change the world's relationship with money. We can't do that without building a brilliant, genuinely diverse team - and making sure our hiring process gives everyone a fair shot, running a fair and transparent recruitment process in which every candidate is considered on their merits. We're glad to make reasonable adjustments at any stage of the process. If there's anything we can do to support you in showing us your best, please let your recruiter or one of the team know. We may use AI-assisted tools during the recruitment process to take support the team in different ways like taking notes or referring back to conversations. They do not replace the team and all applications are reviewed by a Cleo employee thoroughly!

Location: Remote, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking to hire a Senior Sales Engineer Enterprise to join our Field Engineering team. As a Sales Engineer, you will be a trusted technical advisor to some of our largest and most strategic customers, helping them evaluate, adopt, and expand their use of dbt. You’ll partner closely with Sales to understand customers’ technical and business priorities, design solutions using the dbt platform, and demonstrate measurable value throughout the evaluation process. You’ll work across the customer lifecycle—from technical discovery and evaluation through adoption and expansion—while partnering with Product, Engineering, and our technology partners to bring customer needs back into the business. This is a full-time position based in the West Region. Technologies You’ll Use AWS, GCP, Azure, Snowflake, BigQuery, Databricks, Kafka, Grafana, Linux, Windows, Python, Java, Iceberg, dbt Cloud, SQL, data catalogs What You’ll Do Work with Enterprise customers to understand their business, use cases, and requirements across data replication, transformation, and modeling Develop and deliver technical presentations to Enterprise audiences on the full Fivetran + dbt value proposition Ensure the technical win by running a tight proof-of-value process spanning ingestion through transformation Guide customers through dbt Cloud proof-of-concept implementations, including private-cloud deployments for enterprise clients where applicable Work closely with Product and Engineering to align solutions with Enterprise customer needs and inform the dbt Cloud enterprise roadmap Develop and maintain relationships with key Enterprise customers and partners (including Snowflake, AWS, Databricks) Own the technical relationship across the full customer lifecycle — pre-sale evaluation through adoption and expansion Stay current on trends in data movement, transformation, and analytics engineering; be an active participant in the dbt community Skills We’re Looking For 7+ years in data replication, sales engineering, solutions architecture, or consulting in data operations, analytics, or BI Strong technical background covering database replication, cloud infrastructure, and modern data warehousing architectures Hands-on experience with SQL, ETL/ELT, and data modeling Experience with modern data analytics technologies, including cloud data warehouses/lakes, transformation tooling (dbt or similar), data catalogs, and BI tools Ability to gather and translate technical and business requirements into concrete solutions Excellent communication and presentation skills, able to explain complex technical concepts to technical and non-technical stakeholders Strong problem-solving and analytical skills; comfortable operating in ambiguous, fast-paced environments Optional Bonus Skills Prior experience at an analytics, ETL, BI, or open-source software company Hands-on experience with dbt Cloud or dbt Core or Fivetran Experience with data modeling methodologies (dimensional, data vault, Kimball, 3NF) Experience with Oracle, SQL Server, MySQL, or traditional Enterprise ETL tooling (Informatica, Boomi, Talend) Experience with self-hosted software applications and supporting infrastructure Hands-on networking experience, cloud and on-premise The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. For this role, on-target earnings (OTE) are split 70% base salary and 30% variable compensation. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process OTE (On Target Earning) $218,491.87 — $303,462.32 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As Principal Product Marketing Manager, Competitive, you own GitLab's competitive point of view on AI and agentic software development and serve as the authority on our market differentiation. You consult regularly with sales, product teams, investor relations, industry analysts, and leadership on competitive strategy and roadmap implications while publishing external thought leadership. With deep experience in the modern SDLC and agentic tooling, you collaborate with developer advocacy and conduct primary market analysis to drive positioning, field assets, competitive plays, and partnership strategy. In your first year, you will establish a defensible AI and agentic narrative and an agile operating rhythm that turns market signals into action. Reporting to the Senior Director, Product & Solutions Marketing, you will operate with executive visibility and autonomy, measuring success by win rates, competitive displacements, and market leadership in the AI and agentic category. Some examples of projects: Define GitLab's differentiated position against AI-native entrants competing for the SDLC Publish thought leadership that shapes how the market frames agentic development Assess new entrants and share relevant market-shaping insights across the company Shape partnership strategy based on competitive footing Arm executives with competitive narrative for customer and board conversations What you'll do Own GitLab's competitive positioning for AI and agentic software development end to end, from primary landscape analysis through understanding of competitive tools and developer-level perceptions. And turn that into the narrative the field, analysts, and executives all use Own the operating rhythm that converts competitive signal into a position and action within days Give Product an opinionated read on what competitive movement means for roadmap sequencing, bringing evidence and a recommendation rather than a summary of what competitors shipped Build the compete assets, plays, and objection handling the field uses against named competitors, define the sales motion that moves win rate, then measure whether it did Partner with Growth and Campaigns on competitor displacement campaigns, accountable for their contribution to pipeline Brief Investor Relations, industry analysts, sales, and executive leadership with the same rigor, owning the competitive-landscape narrative with analysts and PMMs Raise the competitive bar across the PMM team Ability to travel if needed and comply with the company's travel policy What you'll bring Proven impact at the organizational and industry level Deep domain expertise in SDLC, DevSecOps, and agentic software development to engage technical buyers and executive audiences Track record of driving competitive positioning that delivers measurable win-rate impact Fluency in the AI/agentic coding landscape and competitor exposure areas Established thought leadership with industry recognition (speaking, publications, advisory roles) Experience briefing executives, investor relations, and industry analysts Ability to form and articulate a clear point of view quickly despite incomplete information Strong communication skills to translate complex technical concepts into clear narratives Practical experience using AI tools within your workflow Self-directed, data-driven mindset using win/loss insights to guide strategy About the team Product & Technical Marketing at GitLab is the engine behind how GitLab positions, launches, documents, and evangelizes its value proposition for enterprises worldwide. We connect GitLab's product capabilities to customers and prospects across technical personas and executive buyers, and we partner closely with Product Management, Product Design, Growth Marketing, Comms and Social, Field Enablement, Sales, and the broader go-to-market organization so what we build lands in market with clarity, impact, and relevance. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $168,000 — $285,600 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Bangalore, India 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 Staff Data Analyst, you'll turn raw data into actionable insights that inform strategic decisions across GitLab's global Support Engineering organization. You'll design dashboards, reports, and data models that help leaders monitor performance, optimize costs, and improve customer outcomes. You'll also promote data innovation by experimenting thoughtfully and working through complex problems. What you'll do Own annual operating plan and capacity planning through data modeling and validation that support workforce and budget decisions. Build and maintain utilization and team-performance scorecards, including automated alerting that surfaces trends in real time. Analyze Support Economics, including cost-per-ticket modeling, self-service savings, and product quality costs. Develop performance indexes and heatmaps that identify product areas and customers using the most support resources. Lead dashboarding for AI adoption and return on investment, measuring the business impact of AI-driven initiatives across Support Engineering. Partner with go-to-market teams on predictive analytics and churn-prevention models that identify at-risk customers. Define and refine unified customer-schema requirements to create consistent data across systems and a single source of truth. Deliver Monthly Business Review telemetry, executive-ready reporting packages, recurring operational reports, and ad hoc analysis. What you'll bring Experience as a business intelligence analyst, analytics engineer, or in a similar data role, ideally in a software as a service or technology company. Experience partnering with Technical Support, Business Operations, Product Engineering, or similar organizations. Fluency in SQL, including complex multi-table joins, grouping and aggregation, common table expressions, and conditional filters. Hands-on experience building dashboards and reports in Zendesk Explore, Tableau, Looker, or similar business intelligence tools. Translate ambiguous business questions into structured analytical frameworks. Present findings clearly to technical and non-technical stakeholders. Plan and prioritize work independently in a remote, cross-functional environment across time zones. You may also bring experience with large language model-based tools, artificial intelligence and machine learning workflows, durable data solutions, analytics frameworks, in-depth data analysis, or presenting to senior leaders and executives. About the team Our Support Engineering organization uses data to understand performance, improve customer outcomes, and improve operational practices. You'll partner across Support Engineering, go-to-market teams, Business Operations, and Product Engineering in an all-remote environment. 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: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate. This is not a traditional annotation role. You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines. We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders. Project Details Job Title: Data Labeling Associate Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $34/hour   Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston. Please only apply if you meet this location requirement. What You’ll Do Evaluate AI model outputs and provide structured, high-quality feedback Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios Contribute to improving evaluation frameworks, not just executing them Identify trends in model performance and communicate insights clearly Participate in team discussions, calibrations, and stakeholder syncs Partner with leads and cross-functional teams to refine quality standards Document findings in a clear, concise, and actionable way What We’re Looking For Native-level Marathi language proficiency and a university degree (Bachelor’s or higher). B2 or superior level of English. 1–2 years of professional writing experience with strong, structured writing skills Ability to apply complex writing rules and guidelines consistently Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience Strong critical thinking and attention to detail Ability to make sound judgment calls in ambiguous situations Naturally curious about AI, technology, and how systems behave Comfortable speaking up, asking questions, and contributing ideas Strong written and verbal communication skills Ability to stay consistent while working with evolving guidelines Experience in data quality, QA, annotation, or analysis is helpful — but not required Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.

Location: London Workplace: Hybrid Why loveholidays? We’re on a mission to open the world to everyone, giving our customers unlimited choice, unmatched ease and unmissable value for their next getaway. Our trailblaze together culture is what drives our success, powered by our people and the way they work. Using progressive technology, we drive cutting-edge innovation and improve how our customers discover, book and experience their holidays. You’ll have the opportunity to accelerate your growth through meaningful challenges, new experiences and the freedom to shape your own path. You’ll create impact for our future by taking ownership, contributing to shared goals and helping shape what comes next, all as part of our enhanced international community of talented, collaborative and passionate teams. The difference you’ll make You’ll sit in the Bookings team, reporting to the Director of OTA Platform. You’ll work closely with engineering, operational, finance, and customer service leaders to define and deliver the long-term product vision for Bookings, defining the shared workflows, backend capabilities, and data foundations that power internal operators, customer experiences, and future channels. Together, the team will focus on making holiday commerce scalable after checkout by automating routine post-order tasks, ensuring trusted data accuracy, and creating reusable capabilities across products and channels. Bookings sits within our Platform function, which builds the technology and shared capabilities that power the loveholidays experience. By creating scalable products, systems and tools, Platform helps the wider organisation move faster, work more independently and deliver better outcomes for customers. Your day-to-day: - Define and deliver the strategic roadmap, outcomes, and metrics for post-order platform capabilities in close partnership with Engineering, Finance, and Operations. - Build flexible, scalable backend capabilities, APIs, and shared workflows for bookings, amendments, financial operations, and customer contact handling. - Improve data accuracy and availability across order, booking, margin, and cost data to create reliable foundations for all internal and external consumers. - Drive operational efficiency by using data, AI, and smart automation to reduce routine manual work and simplify post-order exception handling. - Work closely with Engineering on technical strategy, including service boundaries, event/data models, observability, and migration from legacy systems. - Use data-led decision-making to define success measures such as resolution time, cost to serve, API adoption, and reconciliation accuracy. Your skillset: - Proven record of platform product leadership owning technical, API-heavy, data-rich, or operational platform products used by multiple teams. - Strong systems thinking ability to model complex end-to-end workflows and translate business needs into extensible product capabilities. - Technical fluency across APIs, service orchestration, data models, integration contracts, and system reliability to partner closely with engineering. - Operational and customer empathy with a track record of designing smart automation that improves both user experience and cost-to-serve. - Data and financial judgment with strong experience defining metrics, evaluating performance, and making confident trade-offs under operational constraints. - Strategic execution and influential communication skills to build cross-functional alignment, write clear decision narratives, and navigate ambiguity. The interview journey: - Talent acquisition screening - 30 minutes - First stage with the hiring manager - 45 minutes - Final stage with key stakeholders, including a platform case to present - 1 hour - Behavioural and culture conversation with VP of Product - 45 minutes Perks of joining us: - Company pension contributions at 5% - Individualised training budget for you to learn on the job and level yourself up - Discounted holidays for you, your family and friends - 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum - Ability to buy and sell annual leave - Access to our electric vehicle salary sacrifice scheme - Cycle to work scheme, season ticket loan and eye care vouchers   Our commitment to inclusion At loveholidays, we focus on creating an inclusive environment where everyone can contribute, grow and succeed. We value the different perspectives, experiences and ideas each person brings, because they help us work better together, challenge our thinking and make stronger decisions. As we continue to grow and evolve, we want everyone to feel supported and able to do their best work. We’re also committed to making our hiring process accessible, so please let our Talent Acquisition team know if you need any adjustments at any stage.

Location: Singapore About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking an International Accounting expert (APAC) to join our International Accounting team in Singapore. This role reports to our APAC Accounting Lead and is the first hire in our Singapore hub. In this pivotal role, you will build and implement the framework for local compliance across our APAC entities (Singapore, Japan, Korea, Australia and India), with an initial focus on Singapore, Japan and Korea, while flexibly adapting to our evolving needs as we scale. As a key contributor to establishing our regional accounting operations, you'll partner closely with our global teams while taking ownership of the processes and systems you help create. If you're looking for an opportunity to make a significant impact on the financial infrastructure of an innovative AI company at the forefront of safety, come join us in our mission to build cutting-edge, safe AI. Responsibilities Build and implement frameworks for local compliance across our APAC entities, ensuring alignment with both local statutory requirements and global standards Establish and maintain frameworks for local financial statement review on a monthly basis, including local flux analysis and variance explanations Participate in the development and implementation of international finance policies, adapting existing global policies for regional requirements and establishing local approval workflows Execute monthly consolidation processes and eliminations across international entities, including journal entry preparation and booking, intercompany eliminations, and reconciliations, to ensure timely and accurate group-level reporting Manage intercompany transactions and develop frameworks to support global scaling, including transfer pricing documentation and compliance Handle foreign exchange (FX) transactions and develop monthly processes for currency consolidation and risk management Perform comprehensive reconciliations of balance sheet accounts, ensuring accuracy and completeness of financial records Support local statutory audits of the APAC entities, coordinating with external auditors and preparing comprehensive audit schedules and documentation Support tax compliance framework development and implementation across international jurisdictions Partner with US-based teams to ensure seamless integration of international operations with global financial processes Leverage technology and tools to drive continuous improvement, automation, and operational excellence across international accounting processes, with a focus on finance transformation You may be a good fit if you Have 8+ years of accounting experience, preferably in high-growth environments with multi-country exposure across APAC Have a bachelor's degree in Accounting or Finance, or equivalent practical experience Are a qualified accountant with professional certification (CA, CPA, ACCA or equivalent) Possess deep knowledge of US GAAP, IFRS, and the local statutory framework in at least one of Singapore, Japan, Korea, Australia or India, with strong understanding of statutory reporting requirements Are proficient in Workday, NetSuite, or similar ERP systems, with experience building and optimizing accounting workflows Have experience with consolidations, eliminations, and intercompany accounting processes Demonstrate curiosity and initiative, with a strong drive to independently identify and solve problems Are highly collaborative and able to build strong relationships across time zones and cultures Ability to effectively communicate and influence in a globally distributed team Take high ownership of your work and have the flexibility to adapt to changing needs and priorities Exhibit strong organizational and time-management abilities with exceptional attention to detail Strong candidates may also: Have prior experience at a high-growth technology company, particularly in international operations Bring FX experience including hedging strategies and currency risk management Have worked with complex group structures and multi-jurisdictional consolidations Demonstrate comfort with ambiguity and building processes from the ground up Possess experience working across different time zones and cultural contexts Have knowledge of AI/ML company dynamics and business models Show passion for Anthropic's mission to develop safe and ethical AI systems, with enthusiasm for leveraging AI tools to drive automation and process improvement Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.