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Location: London, England Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Senior Fullstack Engineer (Go / Kotlin & React) About the Team Merchant EMEA Engineering builds the technology that helps merchants join, grow, and operate successfully across our markets. Our organization brings together the strengths of Wolt and Deliveroo and supports merchants across 37 countries. We work across the merchant journey, including onboarding, business growth and support, analytics and recommendations, menu and order management, integrations, and merchant applications. Our teams sit close to the business. Rather than primarily building foundational platforms, we build products and features on top of our existing platforms to solve real merchant and market needs, including local business requirements, growth opportunities, and operational challenges. 📍This open role is based in our tech hubs in Helsinki or Berlin . Please note: This role requires being based in Berlin/Helsinki on a hybrid basis. We are currently unable to offer fully remote work, visa sponsorship, or relocation support for this opportunity. What You'll Do As a Fullstack Engineer, you'll contribute to products and services used across the merchant experience. You'll: Build and maintain production software across backend services and user-facing applications. Work on areas such as merchant onboarding, analytics, recommendations, menu and order management, integrations, or merchant-facing tools. Develop reliable APIs, data models, services, and user-facing features. Collaborate closely with product managers, designers, operations, and other engineers to turn business needs into practical technical solutions. Own features from implementation through production and ongoing maintenance. Contribute to technical design discussions and improve the quality, scalability, observability, and maintainability of our systems. Use AI-assisted development tools effectively as part of your engineering workflow, while critically evaluating their output and taking ownership of the final solution. Be willing to work outside your primary area of expertise when needed to solve the problem end-to-end. How We Work Ownership: Engineers take responsibility for the features and services they work on, from development to production. Collaboration: We work closely across engineering, product, design, data, and operations. Pragmatism: We value simple and maintainable solutions that create business impact without unnecessary complexity. Flexibility: We care more about solving the problem than strict frontend or backend boundaries. Our Tech Stack Our backend services primarily use Go and Kotlin , while our frontend applications use technologies such as TypeScript and React . We also work with technologies including Kafka, PostgreSQL, MongoDB, Redis, AWS, Kubernetes, Docker, gRPC, and modern cloud infrastructure. Our Humble Expectations We're looking for engineers who have: An AI-first mindset, with a deep experience in leveraging modern AI tools and solid engineering principles to solve problems end-to-end, independently of any specific technology stack. Proven experience building production software in backend, frontend, or fullstack environments end-to-end and at scale. Strong expertise in at least one area of the stack, with a willingness to contribute outside that area when needed. Experience with a modern backend language such as Go, Kotlin, Java, or similar, and/or modern frontend technologies such as TypeScript and React. Good understanding of APIs, databases, testing, and software design fundamentals. The ability to work independently on well-scoped problems and collaborate effectively with others. Good communication skills and a pragmatic, collaborative mindset. You do not need to be equally strong in frontend and backend. We welcome different balances of experience. You might be primarily a backend engineer who is comfortable making frontend changes when needed, or a frontend-focused engineer who is happy to work with APIs and backend services. What matters most is that you are comfortable working across boundaries to deliver the right solution. Nice to Have Experience in one or more of the following areas would be a plus: Merchant-facing or internal operational tools. Analytics, recommendations, or decisioning systems. Grocery, retail, restaurants, logistics, or marketplace technology. Integrations with external business systems. Kafka or other streaming technologies. Cloud infrastructure such as AWS, Kubernetes, or Docker. Why Join Us? You'll work on products that directly affect how merchants interact with Wolt, Deliveroo and DoorDash across Europe. The scope is broad and close to the business, giving you the opportunity to work on meaningful problems across different parts of the merchant journey while developing your skills across the stack. You can read more about our recruitment process here. here . Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Paris, France Workplace: Hybrid HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐️ THE DATA FOUNDATIONS TEAM ⭐ At Alan, every decision we make about our members' care, contracts and claims is a data decision. The Data Foundations team builds the platform that makes those decisions possible in a safe way. - Being part of the Data Foundations team means you’ll build, maintain, and improve the Data Platform used by everyone at Alan. - We enable Alan’s data-driven nature and help our colleagues make the most of their data. - Partner closely with people across Alan (technical and non-technical) to understand their needs and build data solutions they can trust and use effectively. - We own and manage all data-related tools that power Alan. - AI is changing the way companies work with data: agents are becoming first-class users of our data warehouse. It opens a world of new usage and exciting features, as well as concerns around security, data quality and governance. We are building the foundations that allow Alan to make the most of this exciting new paradigm. - Alan is expanding quickly: we went from 4 to 6 countries this year and we won’t stop there. Our objective is to onboard new countries in weeks, not months. Having strong data foundations is a cornerstone of that expansion, allowing our teams to make sense of a patchwork of insurance systems, regulations and reporting rules. - Examples of our missions: - improve the developer experience when building and maintaining data pipelines, - enable reliable and secure access to our data warehouse for Alaners and AI agents, - strengthen security and governance around our data assets, - define and implement standard data practices across Alan, - maintain and evolve our core data infrastructure to accommodate Alan's international expansion and growing product breadth… - Our core tools include Python, Airflow, Snowflake, AWS/GCP, Metabase, Terraform, dbt, and others. - Who you'll work with: Data Foundations is a small, high-leverage team inside the Tech Foundations area, whose mission is to enable product crews through world-class infrastructure, developer experience, operational excellence, and built-in security. You'd be joining as one of its core engineers, working daily with the whole Data community at Alan. 🎯 EXPECTED SKILLS AND ABILITIES You would thrive at Alan if most of this sounds like you: - Passionate about owning ambitious problems and developing simple solutions for them. - 3+ years of experience demonstrating impact in Data positions. We welcome candidates from early-career to highly experienced profiles. You may already have strong expertise in Data Engineering, or be an experienced data or software engineer looking to deepen your specialization in this area. - Experience building and operating production data infrastructure: orchestration (Airflow or similar), a cloud data warehouse, infrastructure as code. - Experience designing systems, tools or libraries used by other engineers, scientists or analysts. - Proficient in Python and SQL. Setting a high standard of rigor and precision for yourself, interested in your craft. - Curious about AI and eager to use it thoughtfully to increase your impact. - Great listening and communication skills. - Humble, kind, collaborative, and still willing to grow (no matter your seniority!). - Fluent and clear in English, both oral and written (no need to speak French!). For this role, we are looking to hire within the C0-E level range https://alan.com/en/careers/a/salary-equity. ⚙️ IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learning or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info. YOU WANT TO KNOW MORE ABOUT ALAN? - 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. - 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work 🔄 A quick note about the process Note: While you're applying for a specific area, you may join a different engineering team based on where we think you'll have the most impact. Check out descriptions of other areas here https://www.notion.so/Software-Engineering-Areas-Alan-2c61426e8be7805bacd2cdbc08c32640?pvs=21. #LI-DNP

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Partners Solutions Architect on Anthropic's Applied AI team, you'll be a pre-sales architect focused on building technical relationships with our Global and Regional System Integrators (GSIs/RSIs) and cloud partners (AWS and GCP). You'll strengthen these relationships to accelerate indirect revenue, enable partners' AI practices, and execute our long-term go-to-market strategy. Responsibilities Strategic technical partnership: Act as a technical thought partner to the Anthropic GTM partnerships team. Bring technical expertise to help us understand the partner landscape, drive key strategic programs, and find ways to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, and evangelize Anthropic in their developer communities. You'll also serve as an escalation point for complex technical issues. Joint solution development: Work with partners to identify high-value, industry-specific GenAI applications, develop joint solutions, and codify reference architectures and best practices that speed time to deployment. Customer deal support: Step in to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. Partner ecosystem and events: Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities. Product feedback: Gather and validate feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns. Deliver it to the relevant Anthropic teams to inform the product roadmap and partner strategy. You may be a good fit if you have 5+ years in technical customer-facing or partner-facing roles, such as Solutions Architect, Sales Engineer, Partner Sales Engineer, or Technical Account Manager A track record of partnering successfully with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery Exceptional ability to build relationships and communicate technical concepts to diverse stakeholders, including C-suite executives and engineering and IT teams Strong presentation and technical communication skills, with the ability to translate requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Familiarity with common LLM frameworks and tools, or a background in machine learning or data science Enthusiasm for cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed A passion for using technology in ways that are safe and beneficial, and that advance the goal of safe AI systems 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: £150,000 — £190,000 GBP 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: Cyprus; Georgia; Poland; Spain; Serbia We are looking for a strong Tech Lead with deep software engineering and backend expertise to lead a small engineering team and take ownership of technical decisions, architecture, and engineering quality. This is a hands-on role — you will drive the technical direction of the team while staying deeply involved in production development, architecture, and solving complex engineering challenges. You will lead a small cross-functional team consisting of 3 Software Engineers and 2 QA Engineers. Our core backend stack is Go, so we are looking for someone with strong commercial Golang experience and a solid background in building scalable, distributed systems. We also expect you to actively leverage AI tools to improve engineering quality, productivity, and development velocity. Responsibilities Lead the technical direction of the team and own key architecture decisions. Design and develop scalable backend services and APIs using Go. Stay hands-on with production code and solve complex technical challenges. Design reliable, scalable, and maintainable distributed systems. Lead code reviews and maintain high engineering standards across the team. Improve system performance, reliability, observability, and scalability. Identify technical risks, bottlenecks, and areas for improvement. Mentor Software Engineers and support their technical growth. Help increase team productivity and improve engineering efficiency. Collaborate closely with Product, QA, and other engineering teams. Continuously improve development processes, engineering practices, and delivery quality. Actively use AI-powered development tools to accelerate engineering workflows and improve code quality. Requirements 7+ years of software engineering experience. Strong commercial experience with Go (Golang). Strong backend and software engineering background. Experience designing scalable architectures and distributed systems. Strong understanding of microservices architecture and asynchronous communication patterns. Solid experience with PostgreSQL, Redis, and REST APIs. Experience with message brokers such as RabbitMQ, Kafka, or similar. Experience with Docker and CI/CD pipelines. Experience leading engineers and driving technical and architectural decisions. Strong hands-on approach — you are comfortable staying close to the code and contributing to production development. Strong understanding of engineering best practices, code quality, testing, and system reliability. Experience using AI development tools such as Cursor, GitHub Copilot, Claude Code, or similar in daily development. Nice to Have Experience with Kubernetes and GitOps. Experience building high-load or high-availability systems. Experience with event-driven architectures. Experience with Web3, blockchain, fintech, or other transaction-heavy products. Experience integrating LLM APIs or AI capabilities into production products. Experience with TypeScript / Node.js or other backend technologies. Benefits Professional growth: support for courses, conferences, and English learning (up to 100% coverage). Work-life fit: remote or hybrid format with flexible hours across international teams. Paid leave: up to 20 vacation days +  8 company holidays + 5 personal days per year Recognition programs: structured performance reviews and team awards. Team culture: retreats in international locations (for example, company apartments in Cyprus).

Location: Toronto, Canada; Vancouver, Canada; Calgary, Canada; Québec City, Canada Top 3 Reasons To Join Us Competitive Salary International Environment Working on the latest tech for the Insurtech Market Leader About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C We’re the winner of the Insurtech of the Year in all of Asia and other awards globally We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world We are fully funded and backed by reputable VC funds and strategic institutional investors We have a global presence in Asia, EMEA and the Americas We’ve grown our annualized revenue by over 30x since January 2021 We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world About the Role As the Lead Full Stack Engineer, you will take on a pivotal role in guiding the design, implementation, and maintenance of our innovative SaaS platform. You will provide technical direction to the team, working across both front-end and back-end technologies, ensuring scalable and efficient software solutions. Collaborate closely with cross-functional teams to understand end-user requirements, optimize application performance, and enforce best coding practices. Your role will encompass mentoring junior developers, driving innovation, and ensuring the continuous growth and success of our platform. What You Will Do Lead the design, implementation, and maintenance of our insurance enterprise software solutions, providing technical direction to the team. Demonstrate expertise in both front-end and back-end technologies, offering guidance on technology selection, architecture, and best practices. Collaborate with product, design, and engineering teams to understand requirements and technical concepts, ensuring cohesive and effective solutions with a seamless user experience. Optimize platform performance to handle large datasets and high user traffic, ensuring a smooth and responsive user experience. Conduct and lead code reviews, enforce best coding practices, and drive the adoption of standards to maintain high code quality. Investigate and promptly address bugs to uphold platform reliability. Ensure security and compliance by following best practices for securing web applications and adhering to relevant regulations. Stay abreast of the latest technologies, frameworks, and best practices, guiding the team in remaining competitive and innovative. Design the platform with scalability and flexibility, accommodating evolving features and changes as the user base grows. Provide mentorship and technical leadership to junior developers, fostering their growth and contribution to the team's objectives. What We Need Proven experience of 8+ years as a Full Stack Engineer, with a track record of leading complex SaaS applications. Minimum 2 years in a lead/manager role, able to guide and ensure development of teams Strong technical background with proficiency in back-end technologies, such as .NET Core, C#, GraphQL, MongoDB, Docker Proficiency in front-end technologies such as Javascript, Vue.js and/or React.js Familiarity with cloud platforms like AWS, Azure, or Google Cloud for building scalable applications Experience with microservices and/or clean architecture Thorough understanding and practical experience with Test-Driven Development (TDD) to ensure robust and well-tested code Experience with unit, integration and function testing using front-end and back-end testing libraries Proficiency in Domain-Driven Design (DDD) principles to create a maintainable and modular architecture that aligns with business domains In-depth knowledge of web security best practices and experience in ensuring compliance with industry regulations Demonstrated experience in performance optimization for high-traffic web applications Experience with container technologies like docker and good understanding of cloud infrastructure and solutions. Experience with agile development methodologies and collaborating with cross-functional teams Excellent problem-solving skills and a proactive approach to troubleshooting and bug fixing Strong communication skills to effectively interact with both technical and non-technical team members with diverse backgrounds A passion for staying updated with the latest trends, technologies, and best practices in software development Why You'll Love Working Here International Environment Competitive remuneration package 15 Days Annual Leave Annual Performance Bonus Stock Options after 6 months Company activities and events CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: Buenos Aires, Argentina; Medellín, Colombia; Bangalore, India; Guadalajara, Mexico; Lahore, Pakistan Workplace: fully We’re a remote, product-focused startup building AI- and algorithm-driven systems, and we’re looking for a strong Backend Django Engineer who loves clean data models, well-designed APIs, and clever algorithms. You’ll own core backend features end-to-end: from modeling the data to implementing the logic and exposing it through fast, reliable services that ship to users quickly, working with a small distributed team across several countries. 💰 $100 Bonus Opportunity: Candidates who successfully complete the coding assessment and meet our quality standards may be invited to an additional evaluation stage. Candidates who successfully pass this stage and are selected to proceed to the final interview will receive a $100 bonus . To be considered for the assessment, please submit your resume through this job application. If your resume is approved, we’ll send you the coding assessment with further instructions. What You’ll Do Design and implement backend services and APIs using Python + Django (and DRF or similar). Model and evolve our domain in the database with clean, well-structured schema s and relationships. Implement algorithmic/AI logic in the backend (e.g., scoring, ranking, routing, decision rules). Write pragmatic, production-ready code that’s easy to reason about and iterate on. Optimize for correctness and performance : efficient queries, smart indexing, and lean responses. Work with the team to turn product ideas into concrete technical designs and endpoints. Help shape how we build things: patterns, conventions, and how we ship and iterate as we grow. What We’re Looking For Strong experience building backend applications with Python + Django . Solid understanding of relational data modeling and SQL (we use PostgreSQL). Comfortable designing and building RESTful APIs (bonus if you’ve used DRF or similar frameworks). Experience working on non-trivial business logic or algorithms (e.g., decision flows, scoring rules, optimization logic). Good instincts around performance : understanding query behavior, avoiding obvious pitfalls, and using caching when it counts. A startup mindset : comfortable with ambiguity, moving fast, and iterating based on real- world feedback. Ability to work independently in a remote environment and communicate clearly. Bonus Points For Experience in startups, side projects, or hackathons where you’ve had to ship scrappy solutions fast. Background in algorithms, optimization, or data-heavy systems. Experience with Google Cloud Platform (GCP) in production. Familiarity with Redis (caching, queues) and PostgreSQL at some scale. Exposure to containers and orchestration (Docker, Kubernetes) and/or serverless on GCP. This role is a central piece of our backend roadmap , and we’re aiming to fill it quickly once we meet the right person. If it resonates with you, go ahead and apply now. Send us your resume to start the assessment process (and get a chance at the $100 bonus).

Задачи: — Design and implement high-quality native mobile SDKs that enable developers to integrate embedded wallet functionality into their applications, with a strong focus on API ergonomics, performance, and reliability — Own SDK features end-to-end: from API design and architecture, through implementation and testing, to release, versioning, and developer documentation — Build and maintain secure, reliable SDK components for wallet operations, including cryptographic operations, blockchain interactions, and security-sensitive flows — Define and evolve the SDK architecture to support long-term maintainability, backward compatibility, and adoption across diverse customer applications — Build sample applications and demos that showcase SDK capabilities and serve as integration references for customers — Create clear, comprehensive SDK documentation and integration guides — Work with developer relations and support teams to address customer integration challenges — Raise the bar for quality and operational excellence by establishing best practices around testing, observability, releases, and code health Требования: — 5+ years of software engineering experience, with deep focus on mobile development and shipping production-grade SDKs — Demonstrated track record of building and shipping high-quality code, with work you can point to and discuss in depth — Strong hands-on experience with iOS (Swift) and/or Android (Kotlin); experience with React Native or other cross-platform frameworks — Experience building mobile SDKs or shared libraries, including API design, versioning, packaging, and long-term maintenance across platforms — Experience with blockchain-enabled mobile systems, including wallet flows, signing, and on-chain interactions — Experience working on security-sensitive mobile software, such as key management, secure storage, cryptography, or financial products — Strong grasp of mobile engineering best practices, including CI/CD, automated testing, release management, and observability Условия: — Remote role in a distributed team; preference for candidates in the Americas time zone

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. About the team Engineering the future of customer support — at global scale 🌍 We believe exceptional customer service is more than just a feature, it’s a fundamental part of who we are. That’s why we’ve built our own internal support tooling from the ground up, tailored to help our customer, courier, and merchant support teams shine in every interaction. As we scale our operations from 30 to 60 countries, supporting millions of users and partners, our internal tools need to scale with us. The Support Engineering group is at the heart of this mission. We build high-performance admin applications and core operational tools that empower our support teams to work smarter and faster. A key part of this is our in-house chat platform, which already handles around 5 million conversations every month. On top of this foundation, we’re developing advanced features to reduce manual work, improve communication, and proactively resolve issues — often before our users even notice them. Our systems range from automated reach-outs for delayed orders to deeply integrated tools that enable our support teams to deliver assistance quickly, reliably, and with a human touch. By removing inefficiencies and automating repetitive tasks, we’re ensuring that our users and partners receive world-class support at scale. About the role We’re now looking for a Senior Backend Engineer (Golang) to join us in building scalable, low-latency systems that power these tools and shape the future of customer support. You’ll work on impactful products that directly influence how millions of people experience our platform every day. What you'll be doing Build and maintain high-throughput backend services using Go . Collaborate with product managers, designers, and frontend developers to ship features that support internal support agents across the globe. Design systems that are scalable , resilient , and easy to maintain. Lead and contribute to architectural discussions and technical decision-making. Write well-tested code and help the team maintain high code quality standards. Requirements 7+ years of professional software engineering experience, with a proven track record of building and scaling complex systems. 2+ years of production experience in Golang , with the ability to mentor others and drive best practices across the team. Strong hands-on experience with both SQL and NoSQL databases — especially Cassandra. Solid understanding of designing and operating low-latency, high-throughput distributed systems . Previous on-call experience , with a pragmatic approach to reliability and incident management. Nice to have Background in Node.js or other backend languages. Familiarity with cloud infrastructure (AWS, GCP) and event-driven architectures. Why Deliveroo Our mission is to transform the way you shop and eat, bringing the neighbourhood to your door by connecting consumers, restaurants, shops and riders. We are transforming the way the world eats and shops by making access to food and products more convenient and enjoyable. We give people the opportunity to buy what they want, as they want it, when and where they want it. We are a technology-driven company at the forefront of the most rapidly expanding industry in the world. We are still a small team, making a very large impact, looking to answer some of the most interesting questions out there. We move fast, value autonomy and ownership, and we are always looking for new ideas. Workplace & Benefits At Deliveroo we know that people are the heart of the business and we prioritise their welfare. Benefits differ by country, but we offer many benefits in areas including healthcare, well-being, parental leave, pensions, and generous annual leave allowances, including time off to support a charitable cause of your choice. Benefits are country-specific, please ask your recruiter for more information. Diversity At Deliveroo, we believe a great workplace is one that represents the world we live in and how beautifully diverse it can be. That means we have no judgement when it comes to any one of the things that make you who you are - your gender, race, sexuality, religion or a secret aversion to coriander. All you need is a passion for (most) food and a desire to be part of one of the fastest-growing businesses in a rapidly growing industry. We are committed to diversity, equity and inclusion in all aspects of our hiring process. We recognise that some candidates may require adjustments to apply for a position or fairly participate in the interview process. If you require any adjustments, please don't hesitate to let us know. We will make every effort to provide the necessary adjustments to ensure you have an equitable opportunity to succeed. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

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. Engineering Manager, Production Engineering - Observability An overview of this role You'll lead the globally distributed Observability team. The team builds and operates the metrics, logging, alerting, and capacity planning platforms that GitLab engineers use to understand GitLab.com and GitLab Dedicated. You'll help determine how the team collects, stores, queries, and acts on telemetry, balancing reliable signals with scale and cost. In your first year, you'll guide improvements to Prometheus-based metrics pipelines, log ingestion and retention, alerting driven by service-level objectives (SLOs), and capacity forecasting. You'll work with Site Reliability Engineering, Product Engineering, and other Infrastructure Platforms teams to make it easier for engineers to observe the services they own. You'll also take part in incident response and help keep the team's on-call work sustainable. What you’ll do Lead, hire, onboard, and develop a distributed engineering team working asynchronously. Set priorities with Site Reliability Engineering, Product Engineering, and GitLab Dedicated teams, and help the team deliver observability services iteratively. Own the reliability, scalability, and cost of the team's metrics, logging, alerting, and capacity planning platforms. Reduce noisy or missing alerts and telemetry gaps, and use SLOs, error budgets, and self-service instrumentation to help engineers maintain the health of their services. Guide technical decisions about time-series storage, high-cardinality metrics, log pipelines, and distributed tracing. Participate in the Incident Manager On Call (IMOC) rotation, coordinating the response to high-severity incidents affecting GitLab.com . Keep the team's on-call rotation sustainable through coverage across time zones, useful runbooks, better alerts, and follow-through on post-incident actions. Use AI tools and agents to support engineering workflows and incident triage, reviewing their output while engineers retain responsibility for decisions. Take part in on-call or operational support where your team’s ownership model requires it. What you’ll bring Experience leading an observability, platform engineering, or site reliability engineering team operating at scale, including supporting people in a distributed, asynchronous environment. Technical knowledge of metrics systems such as Prometheus and long-term storage, logging platforms such as Elasticsearch or cloud-native services, and alerting design. Experience using SLOs, error budgets, and capacity forecasts to make reliability and investment decisions. Experience operating a large software-as-a-service platform and investigating production issues such as telemetry gaps, ingestion limits, or noisy and missing alerts. Experience participating in and improving production on-call rotations, including incident coordination and balancing operational load with project work. The ability to explain technical tradeoffs to engineering partners and other stakeholders. Experience using AI tools or agents in engineering or management work; you can describe how you would apply them to operational problems such as incident triage. We welcome different paths into this role, whether through practical experience, formal study, or transferable skills. If the work interests you, please apply even if you don't meet every qualification. About the team We're part of Production Engineering within Infrastructure Platforms and work asynchronously across regions. Our tools include Tamland, the capacity forecasting tool. We bring lessons from operating GitLab's production systems back into the platforms we build. 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 .

About this role As the Senior Staff Machine Learning Platform Engineer, you will own the technical vision and evolution of Faire’s ML platform. You will set standards, influence org-wide architecture, and lead complex, cross-functional initiatives that unlock data science velocity at scale. This role will also be key to adapting ML workflows to take advantage of modern AI productivity tools. You won’t just build models, you will architect the systems that allow those models to help tens of thousands of small retailers compete and grow their local businesses. What You Will Do: — Define and drive the long-term architecture of Faire’s ML platform including training, inference, feature management, governance — Establish company-wide standards for code quality, testing, MLOps (CI/CD), experimentation, model lifecycle management, and observability — Lead adoption and advanced use of Unity Catalog, multi-workspace strategies, and data/ML mesh patterns — Architect highly scalable ML workflows using Spark, Delta Lake, and MLflow — Optimize performance, reliability, and cost of the ML platform — Evaluate and integrate emerging Databricks features — Stay ahead of the curve by engaging with the latest developments in machine learning and AI — Serve as senior ML technical advisor to Faire’s data science and production engineering teams — Represent Faire at ML conferences and meetups — Mentor ML engineers and raise the overall bar for Machine Learning at Faire What it takes: — 10-12 years of experience building and improving large-scale ML or data platforms — A degree (preferably graduate level) in Computer Science, Engineering, Statistics, or a related technical field — Deep expertise in Databricks lakehouse architecture, including governance via Unity catalog, orchestration via Workflows, and cost optimization — Proven ability to design systems that support multiple data science teams and production workloads — Strong background in distributed systems, ML infrastructure, and cloud architecture — Demonstrated technical leadership across teams and orgs; ability to influence without authority — Experience integrating LLM workflows into enterprise platforms is a plus — Previous contributions to open source ML Infrastructure projects or research publications is a very strong plus Tech Stack: Faire uses a modern cloud based tech stack. For this role, you’ll want to be proficient with the following: — Languages: Python, SQL, Kotlin — ML Frameworks: PyTorch, PySpark, MLFlow — Big Data & Processing: Spark, Kafka, Databricks, Snowflake, Fivetran, Iceberg, Unity Catalog, Datadog, Airflow, Cockroach DB, MySQL — Cloud & Infrastructure: AWS, S3, SageMaker, Kubernetes, Docker, GitHub Actions, Terraform — Generative AI: Claude Sonnet 4.5, ChatGPT 5.2 Conditions: Hybrid work format with office presence 3 days per week (Tuesdays, Thursdays, and a flex day) and flexibility to work remotely up to 4 weeks per year. Remote work possible for candidates located in Ontario, Canada. Salary Range: $248,000 to $341,000 per year, eligible for equity and benefits. Actual base pay depends on skills, experience, market demands, and location. Base pay range subject to change.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Hardware is becoming critical to how AI gets built, and the legal questions are as new as the technology. We're hiring a Commercial Counsel, Hardware to help Anthropic's product teams move fast, build safely, and get the legal calls right. In this role, you'll negotiate a high volume of fast-moving deals for hardware, components, software, and emerging technology procurement needs. This role will also lead multifaceted technology, data, and partnership deals, many of them the first of their kind at Anthropic. You'll be the legal and risk partner that technical and business leaders turn to when they need a fast, practical read on a deal or purchase. You'll clear low risk transactions quickly, spot the ones that deserve a closer look, and build scalable solutions as new complexities come up, all while working alongside Procurement and Finance and Legal colleagues in areas like privacy, IP, and trade. Along the way, you'll also support partnerships with major tech companies, universities, and media organizations, which gives you a view across much of the business. Key responsibilities Negotiate and close a high volume of agreements for hardware and components, including review of embedded firmware and companion software licenses Structure and negotiate complex technology, data, and partnership agreements Track legal and regulatory changes that affect hardware products and components, such as product safety rules and restrictions on foreign-made components, and explain what they mean for our plans Identify trade, export control, sanctions, and supply chain concerns in cross-border sourcing, and work with our national security and compliance teams to resolve them Build and maintain self-serve guidance, templates, and AI-assisted review tools so routine purchases don't wait on Legal Manage outside counsel for specialist questions and overflow volume Cover other technology or hardware transactions on the Legal team as needed Minimum qualifications Hold a law degree (JD, LLB, or equivalent) and meet the local licensing requirements to work as in-house counsel where you'll be based Hands-on experience buying hardware and firmware, components, and software in high volume, fast-paced environments Deep experience leading complex deals, such as technology or data licensing, joint development, or supply partnerships Working knowledge of international supply chains and how sourcing choices (and their associated risks) show up in contracts (lead times, single-source risk, warranties, country of origin, higher risk jurisdictions) Working knowledge of trade and regulatory compliance for hardware, including export controls, sanctions, tariffs and customs Clear, plain communication with scientists, engineers, and operators, so legal risk turns into a decision they can act on A low-ego, "doer" attitude and real interest in taking on work outside your core practice area Intense curiosity about AI and emerging hardware, and a commitment to responsible AI development Preferred qualifications At least 8 years of legal experience in hardware or a closely related technical space, with the judgment to run risk assessments and deals on your own from day one In-house time at a hardware-intensive technology company (such as electronics, industrial automation, or complex devices) while it was scaling quickly Experience supporting product or engineering teams as a dedicated counsel Experience with facilities or on-site vendor services, including the insurance and safety questions An engineering, product, or other technical background Experience using AI tools to speed up your own legal work Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. 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: $335,000 — $385,000 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: USA - New York 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 both companies' strengths 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 for a Pricing & Order Operations Analyst to join our Order Operations & Monetization team. This role restores dedicated capacity for pricing and order operations testing, quote-to-cash (QTC) release validation, and order execution support. You’ll help ensure system changes are tested, validated, and operationally ready before they go live. You’ll provide Pricing and Order Operations subject-matter expertise and execute assigned business validation across signature packets, bookings, marketplace offers, and booking-to-order management handoffs. This role partners closely with Order Operations & Monetization, IT’s business systems team, Pricing Operations, Sales, and Deal Desk. Reporting & Prioritization Reports to the Order Operations & Monetization lead, Jamie Calkins. The Senior Pricing Operations Manager may help prioritize pricing-related test cases and QTC issues tied specifically to pricing and quoting. The Order Operations & Monetization lead owns final prioritization of the analyst’s workload across order operations, assigned non-pricing UAT participation, and pricing-related support work . This is a hybrid role, 1-2 days in the office. Technologies You’ll Use Salesforce CPQ Jira Suger and marketplace user interfaces, including AWS, Azure, GCP, and Snowflake Notion Metronome Hex What You’ll Do Pricing Operations & QTC Support Support pricing operations changes through business requirement review, data validation, configuration checks, and documentation, helping ensure pricing logic is accurately reflected in QTC workflows. Validate pricing-related QTC changes across quoting, approvals, discounting logic, product configuration, and downstream order execution. Help confirm that pricing changes are operationally ready before launch, including impacts to Sales, Deal Desk, Order Operations, Billing, Revenue, and marketplace workflows. Partner with the Senior Pricing Operations Manager to prioritize pricing-related test cases, identify gaps in business requirements, and document expected system behavior. Help maintain documentation for pricing- and order-related system configurations, known dependencies, and release-readiness criteria. UAT & Testing Participate as a Pricing and Order Operations subject-matter expert in UAT project-managed by Technical Program Management (TPM) and executed under RevOps coordination, ensuring relevant business scenarios and expected outcomes are represented. Execute assigned Pricing and Order Operations test cases and collaborate with the GTM subject-matter experts identified by RevOps. Partner with RevOps and relevant subject-matter experts to develop and maintain Pricing and Order Operations test cases, including scenarios for quoting, approvals, signature packets, bookings, marketplace offers, billing, and order management. Document test results and defects with clear traceability from business requirement to test outcome, and provide domain-specific readiness input through the established UAT sign-off process. Maintain the Pricing and Order Operations portion of the regression test suite for recurring QTC changes. Order Operations Operate under defined business requirements for order operations rules within the QTC flow, validating execution across signature packet generation and e-signature routing, booking rules, marketplace offer configuration—including AWS, Azure, GCP, and Snowflake—and the booking-to-order management handoff. Partner with IT’s business systems team and the Proposal-to-Order Lead to keep order operations rules aligned with upstream pricing and quoting logic and downstream billing and revenue systems. Ensure signature packets and marketplace offers accurately reflect the underlying order and pricing terms before execution. Identify and troubleshoot order operations issues across bookings, signature packets, and marketplace offers, escalating systemic problems to the appropriate system owner. Skills We’re Looking For 2–3 years of experience in pricing operations, order operations, business systems analysis, or quality assurance within an agile environment, ideally involving quote-to-cash processes. Working knowledge of Salesforce CPQ and order management or billing systems, with the ability to read and understand configuration logic without necessarily building it directly. Strong attention to detail and comfort performing structured, repeatable testing work. Comfort using conversational AI tools—such as Claude, ChatGPT, or internal chatbots—to support daily and project work, combined with sound judgment about when human review or decision-making is necessary. Clear written communication skills, with the ability to document test cases, defects, and sign-off criteria for technical and business audiences. A proactive, organized approach, with the ability to work across IT, Pricing and Order Operations, and Sales and Deal Desk with minimal oversight. Bonus Skills​ Exposure to Revenue Recognition or Professional Services systems and processes. #LI-REMOTE #LI-MM1 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.  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. New York Pay Range $119,641 — $143,575 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: Oakland, 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 both companies' strengths 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 for a Pricing & Order Operations Analyst to join our Order Operations & Monetization team. This role restores dedicated capacity for pricing and order operations testing, quote-to-cash (QTC) release validation, and order execution support. You’ll help ensure system changes are tested, validated, and operationally ready before they go live. You’ll provide Pricing and Order Operations subject-matter expertise and execute assigned business validation across signature packets, bookings, marketplace offers, and booking-to-order management handoffs. This role partners closely with Order Operations & Monetization, IT’s business systems team, Pricing Operations, Sales, and Deal Desk. Reporting & Prioritization Reports to the Order Operations & Monetization lead, Jamie Calkins. The Senior Pricing Operations Manager may help prioritize pricing-related test cases and QTC issues tied specifically to pricing and quoting. The Order Operations & Monetization lead owns final prioritization of the analyst’s workload across order operations, assigned non-pricing UAT participation, and pricing-related support work. This is a hybrid role, 1-2 days in the office. Technologies You’ll Use Salesforce CPQ Jira Suger and marketplace user interfaces, including AWS, Azure, GCP, and Snowflake Notion Metronome Hex What You’ll Do Pricing Operations & QTC Support Support pricing operations changes through business requirement review, data validation, configuration checks, and documentation, helping ensure pricing logic is accurately reflected in QTC workflows. Validate pricing-related QTC changes across quoting, approvals, discounting logic, product configuration, and downstream order execution. Help confirm that pricing changes are operationally ready before launch, including impacts to Sales, Deal Desk, Order Operations, Billing, Revenue, and marketplace workflows. Partner with the Senior Pricing Operations Manager to prioritize pricing-related test cases, identify gaps in business requirements, and document expected system behavior. Help maintain documentation for pricing- and order-related system configurations, known dependencies, and release-readiness criteria. UAT & Testing Participate as a Pricing and Order Operations subject-matter expert in UAT project-managed by Technical Program Management (TPM) and executed under RevOps coordination, ensuring relevant business scenarios and expected outcomes are represented. Execute assigned Pricing and Order Operations test cases and collaborate with the GTM subject-matter experts identified by RevOps. Partner with RevOps and relevant subject-matter experts to develop and maintain Pricing and Order Operations test cases, including scenarios for quoting, approvals, signature packets, bookings, marketplace offers, billing, and order management. Document test results and defects with clear traceability from business requirement to test outcome, and provide domain-specific readiness input through the established UAT sign-off process. Maintain the Pricing and Order Operations portion of the regression test suite for recurring QTC changes. Order Operations Operate under defined business requirements for order operations rules within the QTC flow, validating execution across signature packet generation and e-signature routing, booking rules, marketplace offer configuration—including AWS, Azure, GCP, and Snowflake—and the booking-to-order management handoff. Partner with IT’s business systems team and the Proposal-to-Order Lead to keep order operations rules aligned with upstream pricing and quoting logic and downstream billing and revenue systems. Ensure signature packets and marketplace offers accurately reflect the underlying order and pricing terms before execution. Identify and troubleshoot order operations issues across bookings, signature packets, and marketplace offers, escalating systemic problems to the appropriate system owner. Skills We’re Looking For 2–3 years of experience in pricing operations, order operations, business systems analysis, or quality assurance within an agile environment, ideally involving quote-to-cash processes. Working knowledge of Salesforce CPQ and order management or billing systems, with the ability to read and understand configuration logic without necessarily building it directly. Strong attention to detail and comfort performing structured, repeatable testing work. Comfort using conversational AI tools—such as Claude, ChatGPT, or internal chatbots—to support daily and project work, combined with sound judgment about when human review or decision-making is necessary. Clear written communication skills, with the ability to document test cases, defects, and sign-off criteria for technical and business audiences. A proactive and organized approach, with the ability to work across IT, Pricing and Order Operations, and Sales and Deal Desk without heavy oversight. Bonus Skills​ Exposure to Revenue Recognition or Professional Services systems and processes. #LI-REMOTE #LI-MM1 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.  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. Oakland Pay Range $119,641 — $143,575 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: Oakland, 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 are looking for a Senior Marketing Analyst to help Fivetran make clear, confident decisions about marketing performance. You will connect campaign and channel activity to funnel outcomes and business results, explain what is changing and why, and recommend where teams should focus next. Your work will support decisions across demand generation, digital, field and partner marketing, product-led growth, and the broader go-to-market organization. You will partner with marketing leaders, Finance, Marketing Operations, GTM Strategy, and Analytics to answer high-impact questions, improve how performance is measured, and make reliable insights easier to access. This role is a fit for an analyst who can move from an ambiguous question to a rigorous analysis and a clear recommendation, while building durable metrics, models, and reporting along the way. This is a full-time, flexible hybrid position based in Oakland, CA. Our hybrid work model offers remote flexibility and in-person collaboration; there is no fixed number of required office days, and we encourage teams to meet in person regularly. Technologies You’ll Use SQL (BigQuery / Snowflake) dbt / dbt State Looker / LookML Sigma / Hex / Google Sheets Claude Code / Codex Salesforce, Marketo, web analytics, and marketing attribution data What You’ll Do Define and own our core marketing metrics. Establish clear definitions and reporting across areas such as demand generation, funnel conversion, pipeline, campaign performance, channel efficiency, and marketing’s contribution to revenue. Build scalable analytical products. Create canonical datasets, models, and self-service tools and dashboards that help Marketing teams and leaders answer important questions quickly and consistently. Serve as a trusted thought partner. Translate analyses into clear narratives and recommendations for audiences ranging from marketing operators to senior executives. Partner with Engineering and Marketing Operations to improve the quality and usability of data from CRM, marketing automation, web analytics, and attribution systems. Set a high bar for responsible Marketing Analytics. Establish strong practices for data quality, integrity, governance, privacy, appropriate access, and responsible use of customer and prospect data. Turn marketing data into decisions. Analyze complex and disparate datasets to identify trends, surface opportunities, and recommend actions to improve campaign performance, funnel conversion, and marketing investment. Shape our analytics culture. Mentor analysts and partners, establish analytical best practices, and help Marketing teams build stronger data fluency and decision-making habits. Skills We’re Looking For 5+ years of experience in analytics, data science, business intelligence, or a related analytical role Advanced proficiency in SQL and data modeling, with experience working across large, complex datasets Experience using Looker, Omni, Tableau, Sigma, or similar business intelligence and visualization tools Strong analytical judgment and a track record of translating ambiguous business questions into structured analyses and actionable recommendations Exceptional attention to detail and a high bar for data quality, analytical rigor, and reproducibility Excellent communication and data storytelling skills; you can make complex findings intuitive and help decision-makers understand not just what is happening, but why it matters and what to do next Comfort operating in ambiguity, developing hypotheses, and owning analytical problems end-to-end Strong cross-functional instincts and the ability to build trusted relationships with both technical and non-technical partners A builder mindset: you look beyond answering one-off questions and create frameworks, datasets, and tools that make future decisions faster and better Passion for using data to improve marketing effectiveness and inform go-to-market decisions. Experience using analytics to support key business decisions, preferably at a high-growth, SaaS, or B2B product company Bonus Skills​ Experience in Marketing Analytics, demand generation analytics, growth analytics, marketing operations, or another marketing-related analytical function. Familiarity with CRM, marketing automation, attribution, web analytics, or product analytics systems such as Salesforce, Marketo, GA4, or Bizible. #LIHYBRID 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.  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. Oakland Pay Range $156,082 — $195,102.50 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: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Marketing Analytics Lead at Anthropic, you will own how we measure marketing. You'll build and run a single measurement framework that shows how marketing activity turns into pipeline, revenue, and product usage, and you'll make that framework something marketers and executives actually use to make decisions. As our marketing programs grow across enterprise and product-led motions, your work will determine whether we invest in what works. In this role, you'll own the marketing measurement framework end to end: the metric definitions, the data models behind them, the dashboards that surface them, and the insights they produce. This is a hands-on individual contributor role; data science and data engineering will support you, but you'll do the core work yourself. You'll partner closely with field marketing, partner marketing, campaign marketing, finance, sales strategy, sales development, data science, and data engineering to align on definitions and keep the whole organization working from one view of the funnel. Key responsibilities Own the marketing measurement framework that connects marketing activity to pipeline, revenue, and product usage Set the direction for the framework and extend it to programs it doesn't cover yet Define marketing metrics clearly and get cross-functional teams to agree on definitions early Build and maintain the data models that power marketing reporting Develop dashboards that marketers and executives rely on in their weekly reviews Teach marketers and executives how the metrics work, and keep teaching as the metrics evolve Lead adoption of the framework so that both marketing and executive teams use it as their shared source of truth Partner with finance, sales strategy, and sales development to connect marketing measurement to the broader revenue picture Find and share the insights nobody asked for, turning analysis into recommendations that change what we do Write analytical SQL on large datasets to answer questions about funnel performance and attribution Track framework gaps and data quality issues, and work with data engineering to resolve them Present findings to marketing leadership and executives in clear, decision-ready formats Minimum qualifications Have deep experience with marketing analytics, including lead funnels, attribution to enterprise pipeline, and product usage measurement Have designed metrics from scratch and know what makes a metric trusted and useful Can write analytical SQL on large datasets with confidence Have built data models in tools like dbt and dashboards that many people use daily Are comfortable setting direction without waiting for a plan to be handed to you Can turn vague questions into clear, measurable definitions Work well across functions and know how to get teams aligned on definitions before problems surface Enjoy teaching others how metrics work and helping non-technical audiences build data fluency Finish what you start, from first definition to adopted dashboard Are excited about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications Experience building marketing measurement for both enterprise sales-led and product-led growth motions Familiarity with marketing attribution models and their practical tradeoffs Experience presenting metrics and insights directly to executives and shaping how leadership reviews performance A background in data science, analytics engineering, or marketing operations Experience working with CRM and marketing automation data, such as Salesforce and related tooling Experience standing up a measurement practice where one didn't exist before Familiarity with how finance and sales strategy teams think about pipeline and forecasting 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: $255,000 — $320,000 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: US, Boston, MA Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are seeking a Principal Product Cybersecurity Assurance Engineer with deep expertise in product security, threat modelling, and risk assurance for highly regulated electromechanical systems. In this role, you will lead the delivery of product cybersecurity across Humanoid's HMND 01 platform family — the Alpha Wheeled industrial robot and the Alpha Bipedal home robot — both powered by our KinetIQ VLM/VLA-based AI framework. Working alongside product, firmware, autonomy, and hardware teams as part of the Systems Engineering and Architecture Team, you will define and maintain the cybersecurity assurance strategy for all product security activities from first concept through post-market deployment. Security at Humanoid is an engineering discipline inseparable from functional safety and central to our mission of creating the world's most reliable, commercially scalable, and safe humanoid robots. To excel in this position, you must demonstrate the authority to influence security architecture decisions across complex, cross-functional programmes, the rigour to build defensible security cases for novel cyber-physical systems, and the leadership to grow and guide a cross team of security engineers operating at the frontier of robotics. WHAT YOU'LL DO - Team Leadership & Product Security Delivery - Lead and develop a cross-functional team of security engineers, maintaining accountability for the delivery of product security services within product teams throughout the HMND 01 development lifecycle. - Define product security requirements and advise development teams on suitable implementation standards, techniques, and toolchains for embedded and AI-enabled robotic systems. - Partner with cross-functional teams to develop security protocols, tools, and processes that keep HMND 01 technologies ahead of emerging threats — including attack surfaces specific to the KinetIQ AI inference pipeline and cloud-to-robot communication architecture. - Own and maintain key security artefacts for audit-ready cybersecurity documentation including Security Management Plans, Threat Analysis and Risk Assessment (TARA) reports, Risk Assessments, and Remediation Action Plans across both platforms. Security Assurance & Certification - Drive security assurance through the full product lifecycle, ensuring every HMND 01 design is robust, compliant, and resilient. Contribute to the continual improvement of security engineering capability across the organisation. - Ensure compliance with cybersecurity obligations under the EU Machinery Regulation 2023/1230 where cyber controls intersect with safety-critical functions and compliance to IEC 62443 (for industrial/OT product security), and the EU Cyber Resilience Act. - Provide independent Information Assurance (IA) reviews and risk assessments on complex, high-impact projects — with particular focus on cyber-physical systems where a digital compromise could result in physical harm to operators or end users. - Review and provide guidance on security risk assessments, risk mitigation plans, mitigation gap analysis, and security management documentation in support of system cybersecurity certification. Incident Response & Lifecycle Security - Establish and maintain a Product Security Incident Response (PSIR) process, encompassing coordinated vulnerability disclosure, patch deployment pipelines, and post-field incident analysis. - Define and oversee security monitoring requirements for deployed fleets, ensuring field data feeds back into risk files and security artefacts in line with post-market surveillance obligations. Commercial & Bid Support - Support the production of work package descriptions and cost estimates for product bids, services, and proposals that include product security scope. - Represent Humanoid's security posture in customer and partner engagements, including regulatory consultations and certification body interactions. WHAT WE'RE LOOKING FOR - Proven, hands-on experience with ISO 27001/27004/27005 and the NIST Risk Management Framework (RMF), applied to regulated hardware or embedded product programmes. - Experience owning a security risk management system for highly regulated, safety-critical products — with background drawn from automotive, commercial vehicle, or industrial automation environments. - Working knowledge of IEC 62443, with the ability to adapt ISO/SAE 21434 lifecycle methodologies to robotic or electromechanical product context. - Solid understanding of engineering development lifecycles and how the product cybersecurity specialism aligns with systems engineering, functional safety, and hardware/software co-development. - Ability to interpret Penetration Test reports and author Remediation Action Plans that address identified vulnerabilities in a structured, risk-prioritised manner. - Clear, structured communication skills — able to articulate complex security risk arguments to both technical engineers and executive stakeholders with equal confidence. Preferred: - Familiarity with Threat Analysis and Risk Assessment (TARA) or equivalent threat modelling methodologies (STRIDE, PASTA) applied to embedded or OT/IT convergent systems. - Understanding of secure-by-design principles for AI/ML-enabled systems, including securing inference pipelines, model integrity, and cloud-to-edge communication paths. - Exposure to CAN bus, Ethernet backbone, or wireless interface security in mobile, vehicular, or robotic systems. - Experience contributing to or establishing a Product Security Incident Response (PSIRT) process or coordinated vulnerability disclosure programme. - Knowledge of UL 4600, UL 3300, or ISO 13482 and an appreciation of how cybersecurity evidence integrates into safety case arguments. - Prior engagement with certification bodies (TUV, UL, BSI) or standards development organisations (ISO TC 184, IEC TC 65, SAE, IEEE RAS). WHAT WE OFFER - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources. - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with 4% employer match. - Competitive equity: stock options with meaningful upside as we scale. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives.

Location: Remote, Canada; Remote, United Kingdom; 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. About the Role We are looking for a Distinguished Engineer to lead technical direction across GitLab's Core DevOps services, the systems the majority of our users touch every day. Distinguished Engineers are recognized experts across multiple technology domains and represent the most senior level of technical leadership within and across divisions at the company. Core DevOps builds continuous Integration, continuous deployment, planning, and source control experiences. These are among the most mature, highest traffic, and most deeply interconnected systems at GitLab. They carry years of accumulated architectural decisions, they sit in the critical path of our customers' own delivery pipelines, and they are being reshaped by the shift toward AI native development. The job is to raise their quality, converge them onto a coherent go-forward architecture, and retire accumulated risk, all without interrupting the millions of users and Fortune 100 organizations who depend on them. GitLab is pursuing a set of company-wide engineering goals: large gains in developer productivity, measurably higher quality in what we ship, and engineering practices reshaped around AI and agentic workflows. Core DevOps is where much of that strategy has to land, because these are the services our own engineers and our customers depend on daily. In this role you will bring that strategy into Core DevOps in a form that works for long lived production systems, and carry what you learn here back out to the rest of engineering. What You'll Do Set and continuously refine the go forward technical direction for CI, CD, Plan, and source code experiences, aligned against the horizontal architectural initiatives. Work directly with the VP of Engineering as her technical counterpart on planning, technical investment, and where the group's engineering effort should go. Translate GitLab's company-wide productivity, quality, and AI native engineering goals into concrete technical direction for Core DevOps, and turn into iterable roadmaps, partnering broadly across the org. Define what good means in measurable terms for these services, including availability, latency at p95 and p99, pipeline success rate, test reliability, data correctness, and defect escape rate, then hold designs and implementations to it. Maintain a clear and current picture of systemic technical risk across the group, including single points of failure, unowned critical paths, brittle coupling between CI/CD and Plan, scaling limits, and past decisions that now constrain the roadmap. Drive a prioritized plan to retire it. Lead the hardest design decisions hands on, writing code, prototypes, and proofs of concept where a design argument needs evidence behind it. Drive convergence on shared patterns, libraries, and paved paths, reducing how many different ways the same problem gets solved across the group. Design migration paths that let large, long lived systems change underneath users without breaking them, using incremental cutover, dual run, measurable rollback, and deprecation with clear timelines. Adopt the platform capabilities coming from GitLab's AI organization and the company's productivity initiatives into Core DevOps, feed this group's requirements back into them, and help prove what works on systems of this scale and maturity. Serve as the escalation point for complex or contested technical decisions across the group, including those where no single team owns the outcome. Review significant designs and merge requests in the group's critical paths, and use review to teach rather than only to gate. Ensure designs hold across GitLab.com, GitLab Dedicated, and Self-Managed deployments, and respect multi-tenant, compliance, and data governance boundaries in each. Partner with Infrastructure, Security, and SRE so Core DevOps services are observable and debuggable, and so failure modes degrade gracefully instead of cascading. Make architectural constraints and opportunities clear to Product in roadmap terms, so that technical investment and product ambition get planned together instead of traded off late. Write clear, opinionated design documents, architecture narratives, and decision records that let teams across the group make aligned decisions independently. Grow Principal and Staff Engineers across Core DevOps, raise the bar on design rigor and technical writing, and contribute to the technical hiring bar for senior individual contributors. Participate in the Incident Management on-call rotation to help meet availability goals for GitLab.com, and complete Interview Training to participate in hiring as a technical interviewer or panel member. Take part in on-call or operational support where your team’s ownership model requires it. What You'll Bring 10+ years of software engineering experience, including 4+ years in a Staff, Principal, or equivalent senior technical leadership role. Deep expertise in AI and ML systems, including large language models, agentic frameworks, and autonomous workflow design at production scale. Proven track record of leading hands-on technical experimentation, including defining evaluation frameworks, running benchmarks, and translating findings into scalable architecture decisions. Strong background in scalable, multi-tenant distributed systems, including service decomposition, fault tolerance, observability, and operational resilience. Experience designing and implementing human-in-the-loop controls, safety guardrails, and responsible AI practices for production systems. Experience mentoring senior engineers and influencing technical direction across multiple teams or divisions without direct authority. Ability to work effectively in a fully remote, globally distributed organization with excellent written and asynchronous communication skills. 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 $250,000 — $349,000 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: USA - Austin (dbt) 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 both companies' strengths 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 for a Pricing & Order Operations Analyst to join our Order Operations & Monetization team. This role restores dedicated capacity for pricing and order operations testing, quote-to-cash (QTC) release validation, and order execution support. You’ll help ensure system changes are tested, validated, and operationally ready before they go live. You’ll provide Pricing and Order Operations subject-matter expertise and execute assigned business validation across signature packets, bookings, marketplace offers, and booking-to-order management handoffs. This role partners closely with Order Operations & Monetization, IT’s business systems team, Pricing Operations, Sales, and Deal Desk. Reporting & Prioritization Reports to the Order Operations & Monetization lead, Jamie Calkins. The Senior Pricing Operations Manager may help prioritize pricing-related test cases and QTC issues tied specifically to pricing and quoting. The Order Operations & Monetization lead owns final prioritization of the analyst’s workload across order operations, assigned non-pricing UAT participation, and pricing-related support work. This is a hybrid role, 1-2 days in the office. Technologies You’ll Use Salesforce CPQ Jira Suger and marketplace user interfaces, including AWS, Azure, GCP, and Snowflake Notion Metronome Hex What You’ll Do Pricing Operations & QTC Support Support pricing operations changes through business requirement review, data validation, configuration checks, and documentation, helping ensure pricing logic is accurately reflected in QTC workflows. Validate pricing-related QTC changes across quoting, approvals, discounting logic, product configuration, and downstream order execution. Help confirm that pricing changes are operationally ready before launch, including impacts to Sales, Deal Desk, Order Operations, Billing, Revenue, and marketplace workflows. Partner with the Senior Pricing Operations Manager to prioritize pricing-related test cases, identify gaps in business requirements, and document expected system behavior. Help maintain documentation for pricing- and order-related system configurations, known dependencies, and release-readiness criteria. UAT & Testing Participate as a Pricing and Order Operations subject-matter expert in UAT project-managed by Technical Program Management (TPM) and executed under RevOps coordination, ensuring relevant business scenarios and expected outcomes are represented. Execute assigned Pricing and Order Operations test cases and collaborate with the GTM subject-matter experts identified by RevOps. Partner with RevOps and relevant subject-matter experts to develop and maintain Pricing and Order Operations test cases, including scenarios for quoting, approvals, signature packets, bookings, marketplace offers, billing, and order management. Document test results and defects with clear traceability from business requirement to test outcome, and provide domain-specific readiness input through the established UAT sign-off process. Maintain the Pricing and Order Operations portion of the regression test suite for recurring QTC changes. Order Operations Operate under defined business requirements for order operations rules within the QTC flow, validating execution across signature packet generation and e-signature routing, booking rules, marketplace offer configuration—including AWS, Azure, GCP, and Snowflake—and the booking-to-order management handoff. Partner with IT’s business systems team and the Proposal-to-Order Lead to keep order operations rules aligned with upstream pricing and quoting logic and downstream billing and revenue systems. Ensure signature packets and marketplace offers accurately reflect the underlying order and pricing terms before execution. Identify and troubleshoot order operations issues across bookings, signature packets, and marketplace offers, escalating systemic problems to the appropriate system owner. Skills We’re Looking For 2–3 years of experience in pricing operations, order operations, business systems analysis, or quality assurance within an agile environment, ideally involving quote-to-cash processes. Working knowledge of Salesforce CPQ and order management or billing systems, with the ability to read and understand configuration logic without necessarily building it directly. Strong attention to detail and comfort performing structured, repeatable testing work. Comfort using conversational AI tools—such as Claude, ChatGPT, or internal chatbots—to support daily and project work, combined with sound judgment about when human review or decision-making is necessary. Clear written communication skills, with the ability to document test cases, defects, and sign-off criteria for technical and business audiences. A proactive, organized approach, with the ability to work across IT, Pricing and Order Operations, and Sales and Deal Desk with minimal oversight. Bonus Skills​ Exposure to Revenue Recognition or Professional Services systems and processes. #LI-REMOTE #LI-MM1 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.  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. Pay Range $104,036 — $124,848 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.