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Found 181 active vacancies in this category.

V
📍 UK•16 Oct 2026
PAYCompetitive SalaryFULL TIME

Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands. About the Role Based in the United Kingdom and reporting to the VP, Employment, Compliance, and Sustainability, this role provides practical, risk-based advice on global employment matters. This position primarily supports Europe, Middle East and Africa, with opportunities to partner on matters in other regions and global projects. The Senior Counsel, EMEA Employment role requires a strategic, experienced legal professional who can provide practical counsel to business leaders, ensure compliance with evolving employment laws across multiple jurisdictions, and effectively manage complex cross-border employment matters and investigations. What you'll do Provide day-to-day legal counseling to the People & Culture team, management, and other stakeholders on global employment matters, including hiring, classification, accommodations, leaves, discipline, terminations, and works council, collective bargaining, and trade union interactions Draft, review, and negotiate employment-related agreements and documents, including offer terms, separation and settlement agreements, and policies/templates. Develop templates and guides Manage employment-related claims, charges, and litigation (including pre-litigation demands), setting strategy and partnering with internal stakeholders; supervise outside counsel through resolution Partner with People & Culture and business leaders to support employee relations matters and workplace investigations, including advising on process, privilege, findings, and recommended corrective actions Conduct employment law training for People & Culture professionals and review other training materials for compliance with applicable law Advise People & Culture and business leaders on immigration and other employee mobility matters, and supervise outside immigration counsel What you'll bring LLB, LLM, or equivalent law degree (QLD) and active bar membership in at least EMEA jurisdiction (or ability to obtain as required for the role) 8+ years of relevant employment law experience, either in-house and/or at a law firm, with exposure to multi-jurisdictional or global employment issues strongly preferred Strong legal judgment and ability to own projects without supervision and communicate complex issues clearly and pragmatically to non-lawyers; proven ability to influence cross-functional stakeholders Comfort operating in a fast-paced environment with strong organizational skills Proficiency with Microsoft 365 tools and matter/document management systems a plus What You’ll Get 25 paid vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares Private medical, dental, and vision insurance with dependent enrolment Life insurance with enhanced coverage and global 24/7 protection Income protection after 26 weeks, covering a portion of salary Defined contribution pension plan with employer match Worldwide travel insurance for business and leisure, with option to enroll dependents Employee Assistance Program with therapy, legal, and financial support, plus GP services and wellbeing programs Opportunities to learn and grow through libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning Please note: If an applicant is permanently located outside of the UK, Veeam reserves the right to decline the application for this position. #LI-REMOTE #LI-JS4 Veeam Software is an equal opportunity employer and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential. Personal data collected during the recruitment process will be processed in accordance with our Recruiting Privacy Notice, which explains how your information is collected, used, and handled in connection with hiring activities. By applying for this position, you consent to this processing. By submitting your application, you confirm that the information provided, including any supporting documents, is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification may result in disqualification from consideration or, if discovered after employment begins, termination of employment.

T
📍 UK•16 Oct 2026
PAYCompetitive SalaryFULL TIME

About Tripadvisor The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork. Tripadvisor Experiences Engineering is the team that builds and supports the world's leading marketplace for travel experiences. We believe that making memories is what travel is all about. And with 400,000+ travel experiences to explore—everything from simple tours to extreme adventures (and everything in between) —making memories that will last a lifetime has never been easier. About the role We’re looking for a Senior Software Engineer (Android) to join our fast-growing mobile team. This role is open to candidates based within a commutable distance (generally within 1–2 hours) of of our office hubs in Oxford or London. We embrace flexibility in where and how work gets done and also value meaningful in-person moments to connect and collaborate. You can expect a remote-first working model with periodic in-person gatherings at your closest office for team connection, planning, or other key moments. At Tripadvisor Experiences, our Engineers are versatile problem-solvers who thrive on a wide range of technical challenges. This is a Android-focused, full-stack role where you'll primarily work on Android systems, with occasional back-end projects. You don’t need to be an expert with everything — if you're eager to learn, we’ll support you on the job and help you grow your skills. Our tech stack includes Kotlin, Coroutines, Jetpack Compose, Cursor and GraphQL in a modular layout that follows the clean-architecture concept with MVVM. What You'll Do: Code! Our engineers focus on doing what they enjoy most and do best, writing code Touch code at every level – while the focus is app development, you’ll also have opportunities to work on backend microservices Collaborate closely with Product and design teams to define feature specifications and develop high quality deliverables for our customers Take responsibility for all aspects of software engineering, from design to implementation, development experience, QA and maintenance Work alongside other engineering groups located around the world. Skills & Experience: Experience of developing an Android app and familiarity with mobile web and back-end technologies would be beneficial At least 5 years’ experience of commercial software development, solving different kinds of technical problems Experience with reactive programming in native mobile platforms Willingness and ability to take on new technologies Ability to break down complex problems into simple solutions High quality verbal and written communication skills Sense of ownership and pride in your work. What We Offer Competitive compensation packages, including base salary, annual bonus, and more. “Work your way” with flexibility to suit your lifestyle. We take a remote-friendly approach to collaboration, with the option to join as often as you’d like in select locations. Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching. Give back? Give more! We match qualifying charitable donations annually. Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks. We believe that travel is employee development, so we provide discounts and more. Employee assistance program. We’re here for you with resources and programs to help you through life’s challenges. Health benefits. We offer great coverage and competitive premiums. Generous referral scheme. Help us grow and be rewarded with generous awards for referring successful candidates. Our Cultural Pillars: Traveller first: We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us. Execution is our edge: We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data-driven, prioritised, and built to scale. We assume no problem is someone else’s problem and finish what can be done today, knowing tomorrow will bring fresh challenges. We succeed together: The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements. Discover more in our Tech Blog, for an inside look into some of our exciting and ground-breaking technical projects here at Tripadvisor Group. Tripadvisor Group champions the unique identities, abilities, and experiences of all our people – employees, customers, and partners. This stems from our belief in the transformative power of travel, dining, and experiences to connect us and open doors to worlds very different from our own. Our ED&I strategy shapes how we approach our people, culture, business, and reputation. Tripadvisor Group strives to embed inclusion and belonging across all our brands. We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at AccessibleRecruiting@tripadvisor.com. If you have any additional questions about careers at Tripadvisor you can email us at recruitment@tripadvisor.com. We have all the answers! #Tripadvisor

T
📍 Poland, Portugal, UK•16 Oct 2026
PAYCompetitive SalaryFULL TIME

Senior Software Engineer About Tripadvisor The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork. Tripadvisor Experiences Engineering is the team that builds and supports the world's leading marketplace for travel experiences. We believe that making memories is what travel is all about. And with 400,000+ travel experiences to explore—everything from simple tours to extreme adventures (and everything in between) —making memories that will last a lifetime has never been easier. About the Role We are looking for a product-focused Senior Software Engineer to join our Experiences Engineering team. This is a full-stack role, leveraging Java, SQL, React, AWS and AI tools. It suits "T-shaped" engineers who thrive on autonomy and technical leadership. You’ll build and maintain highly scalable distributed systems that power travel experiences for millions of users globally. We embrace flexibility in where and how work gets done and also value meaningful in-person moments to connect and collaborate. You can expect a remote-first working model with periodic in-person gatherings at your closest office for team connection, planning, or other key moments. This position is open to candidates based within a commutable distance (generally up to 1.5 hours) of of our office hubs in London, Oxford, Krakow or Lisbon. What You’ll Do Lead Technical Design: Own features end-to-end, leading the design and implementation of highly visible features while balancing security, privacy, and performance. Translate Strategy to Action: Work with Product and Data partners to turn high-level business goals into clear technical specifications, often serving as the technical lead for multi-quarter initiatives. Elevate the Team: Set the bar for code quality, lead the adoption of review standards, and mentor junior and mid-level engineers. Master Agentic AI: Use AI tools as a strategic partner to plan approaches, decompose ambiguous work, and establish new standards for monitoring and reliability. Architect for Resilience: Define the operational strategy and design highly fault-tolerant architectures, proactively identifying structural risks and setting the team-wide standards for automation, monitoring, and long-term stability. Optimize Systems: Actively look for opportunities to simplify, consolidate, or retire legacy code to reduce complexity and increase team velocity. Skills & Experience We typically look for 5+ years’ experience, following a Bachelor’s degree or above in Comp Science or a related field. Distributed Systems Expertise: Deep understanding of concurrent programming and experience building high-performance, scalable backend systems in cloud environments. Analytical Mindset: A habit of asking "how will we know this worked?" and using operational data or experiment results to validate every significant technical decision. Full-Stack Proficiency: Strong experience in at least modern backend language (e.g., Java, C#, Go, Python) and familiarity with modern front-end frameworks. AI Coding: you are fluent coding with either Cursor or Codex/Claude/Open Code. Navigating Ambiguity: Comfortable making rational tradeoffs between non-functional requirements and delivery speed in an evolving environment. Collaborative Leadership: Proven ability to build relationships across disciplines and communicate technical trade-offs to non-technical partners. We’d love to see experience with NoSQL databases, GraphQL, Kafka, or containerization (Docker/Kubernetes). Experience building tools or abstractions that provide leverage to an entire engineering team is also a significant plus. We don’t expect you to know everything on day. More than any specific tool, we value curiosity and the ability to solve problems creatively. We value engineers from different technical backgrounds. You can complete our coding interview exercises in any language of your choice, but need to be open to working within the Java ecosystem when you join! What We Offer Competitive compensation packages, including base salary, annual bonus, and more. “Work your way” with flexibility to suit your lifestyle. We take a remote-friendly approach to collaboration, with the option to join as often as you’d like in select locations. Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching. Give back? Give more! We match qualifying charitable donations annually. Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks. We believe that travel is employee development, so we provide discounts and more. Employee assistance program. We’re here for you with resources and programs to help you through life’s challenges. Health benefits. We offer great coverage and competitive premiums. Generous referral scheme. Help us grow and be rewarded with generous awards for referring successful candidates. Our Cultural Pillars: Traveller first: We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us. Execution is our edge: We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data-driven, prioritised, and built to scale. We assume no problem is someone else’s problem and finish what can be done today, knowing tomorrow will bring fresh challenges. We succeed together: The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements. Discover more in our Tech Blog, for an inside look into some of our exciting and ground-breaking technical projects here at Tripadvisor Group. Tripadvisor Group champions the unique identities, abilities, and experiences of all our people – employees, customers, and partners. This stems from our belief in the transformative power of travel, dining, and experiences to connect us and open doors to worlds very different from our own. Our ED&I strategy shapes how we approach our people, culture, business, and reputation. Tripadvisor Group strives to embed inclusion and belonging across all our brands. We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at AccessibleRecruiting@tripadvisor.com. If you have any additional questions about careers at Tripadvisor you can email us at recruitment@tripadvisor.com. We have all the answers!

T
📍 Poland, Portugal, UK•16 Oct 2026
PAYCompetitive SalaryFULL TIME

Senior Software Engineer About Tripadvisor The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork. Tripadvisor Experiences Engineering is the team that builds and supports the world's leading marketplace for travel experiences. We believe that making memories is what travel is all about. And with 400,000+ travel experiences to explore—everything from simple tours to extreme adventures (and everything in between) —making memories that will last a lifetime has never been easier. About the Role We are looking for a product-focused Senior Software Engineer to join our Experiences Engineering team. This is a full-stack role, leveraging Java, SQL, React, AWS and AI tools. It suits "T-shaped" engineers who thrive on autonomy and technical leadership. You’ll build and maintain highly scalable distributed systems that power travel experiences for millions of users globally. We embrace flexibility in where and how work gets done and also value meaningful in-person moments to connect and collaborate. You can expect a remote-first working model with periodic in-person gatherings at your closest office for team connection, planning, or other key moments. This position is open to candidates based within a commutable distance (generally up to 1.5 hours) of of our office hubs in London, Oxford, Krakow or Lisbon. What You’ll Do Lead Technical Design: Own features end-to-end, leading the design and implementation of highly visible features while balancing security, privacy, and performance. Translate Strategy to Action: Work with Product and Data partners to turn high-level business goals into clear technical specifications, often serving as the technical lead for multi-quarter initiatives. Elevate the Team: Set the bar for code quality, lead the adoption of review standards, and mentor junior and mid-level engineers. Master Agentic AI: Use AI tools as a strategic partner to plan approaches, decompose ambiguous work, and establish new standards for monitoring and reliability. Architect for Resilience: Define the operational strategy and design highly fault-tolerant architectures, proactively identifying structural risks and setting the team-wide standards for automation, monitoring, and long-term stability. Optimize Systems: Actively look for opportunities to simplify, consolidate, or retire legacy code to reduce complexity and increase team velocity. Skills & Experience We typically look for 5+ years’ experience, following a Bachelor’s degree or above in Comp Science or a related field. Distributed Systems Expertise: Deep understanding of concurrent programming and experience building high-performance, scalable backend systems in cloud environments. Analytical Mindset: A habit of asking "how will we know this worked?" and using operational data or experiment results to validate every significant technical decision. Full-Stack Proficiency: Strong experience in at least modern backend language (e.g., Java, C#, Go, Python) and familiarity with modern front-end frameworks. AI Coding: you are fluent coding with either Cursor or Codex/Claude/Open Code. Navigating Ambiguity: Comfortable making rational tradeoffs between non-functional requirements and delivery speed in an evolving environment. Collaborative Leadership: Proven ability to build relationships across disciplines and communicate technical trade-offs to non-technical partners. We’d love to see experience with NoSQL databases, GraphQL, Kafka, or containerization (Docker/Kubernetes). Experience building tools or abstractions that provide leverage to an entire engineering team is also a significant plus. We don’t expect you to know everything on day. More than any specific tool, we value curiosity and the ability to solve problems creatively. We value engineers from different technical backgrounds. You can complete our coding interview exercises in any language of your choice, but need to be open to working within the Java ecosystem when you join! What We Offer Competitive compensation packages, including base salary, annual bonus, and more. “Work your way” with flexibility to suit your lifestyle. We take a remote-friendly approach to collaboration, with the option to join as often as you’d like in select locations. Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching. Give back? Give more! We match qualifying charitable donations annually. Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks. We believe that travel is employee development, so we provide discounts and more. Employee assistance program. We’re here for you with resources and programs to help you through life’s challenges. Health benefits. We offer great coverage and competitive premiums. Generous referral scheme. Help us grow and be rewarded with generous awards for referring successful candidates. Our Cultural Pillars: Traveller first: We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us. Execution is our edge: We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data-driven, prioritised, and built to scale. We assume no problem is someone else’s problem and finish what can be done today, knowing tomorrow will bring fresh challenges. We succeed together: The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements. Discover more in our Tech Blog, for an inside look into some of our exciting and ground-breaking technical projects here at Tripadvisor Group. Tripadvisor Group champions the unique identities, abilities, and experiences of all our people – employees, customers, and partners. This stems from our belief in the transformative power of travel, dining, and experiences to connect us and open doors to worlds very different from our own. Our ED&I strategy shapes how we approach our people, culture, business, and reputation. Tripadvisor Group strives to embed inclusion and belonging across all our brands. We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at AccessibleRecruiting@tripadvisor.com. If you have any additional questions about careers at Tripadvisor you can email us at recruitment@tripadvisor.com. We have all the answers!

D
📍 UK•16 Oct 2026
PAYCompetitive SalaryFULL TIME

We are looking for an experienced Partner Sales Manager to ignite partnerships by identifying and recruiting new partners for long-term success and nurture relationships with key strategic Global Systems Integrator partners. Our ultimate goal is building channels and alliances that drive new customer adoption and revenue. This is a great opportunity for you to join a high-growth cloud software company and help blaze the path for our company's expansion. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Identify and recruit new strategic Global SI partners to drive revenue growth Enable and activate existing GSI partners through training, planning and joint selling activities Coordinate the technical and marketing aspects of integrated partnership launches Host regular business reviews with partners to drive accountability and report on success metrics Work hand-in-hand with Datadog’s regional enterprise and commercial sales organizations Generate partner-sourced net-new sales pipeline and revenue Who You Are: 10+ years of partner-facing, quota-carrying experience in business development, strategic alliances, or channel sales at a cloud services or software as a service organization Proven experience in driving sales opportunities from lead generation to closure, effectively negotiating agreements and building long-lasting partnerships Understanding of, and exposure to working with, the leading Global and regional SIs Ability to quickly understand technical concepts and architectural scenarios, and explain them to others verbally and in writing Willingness to travel 40-50% of the time Entrepreneurial mindset with a passion for taking initiatives from ideation to impact Passion for fast-paced, sometimes unpredictable growth culture and environment Background in SaaS and / or consumption based software platforms Experience in identifying market opportunities with a track record of initiating go-to-market plans and sales follow-through Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: Entrepreneurial mindset with a passion for taking initiatives from ideation to impact Passion for fast-paced, sometimes unpredictable growth culture and environment Experience in identifying market opportunities with a track record of initiating go-to-market plans and sales follow-through Background in SaaS and / or consumption based software platforms Experience with systems management or monitoring Experience with partnerships supporting Containers and/or DevOps, particularly in a cloud environment Technical background/education Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

S
📍 Anywhere•16 Oct 2026
PAYCompetitive SalaryFULL TIME

About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role We are hiring a AI Platform Engineer to build the execution layer for Supabase's internal AI systems. Supabase is building an AI-native internal operating system: a common way of working across the company where AI carries a meaningful share of the operational load rather than sitting alongside it as an assistant. We are standing up a new central team to build those systems, enable the teams, and embed AI operations throughout the organization. You are the engineer on that team. The execution layer is yours. You will build the platform that actually runs agents: an event-triggered queue, a headless model-agnostic runtime, durable state so work survives a restart, a human review gate, atomic rollback, and full logging of every prompt, tool call and decision so any run can be reconstructed. You will build the evaluation layer that makes any of it trustworthy, because an agent that cannot be measured cannot be trusted with anything beyond reading. And you will build the agents themselves, across everything from executive reporting down to a layer of agents that watch the platform and improve it. This is a governance-heavy environment by design, and that is the interesting part of the problem. Agents are risk-tiered from read-only internal data through to external-facing output, with review depth, evaluation requirements and human approval scaling by tier. Some capabilities are permanently off limits: an agent may read and report, it may carry a human-authored update into a system of record a human consents, and it may initiate contact within a strict budget, but it may never autonomously write a commitment (an owner, a due date, a status) into a shared work system. Your job is to make that structurally impossible rather than merely forbidden. You will be the engineer on this platform. You will close open architecture decisions yourself, own the infrastructure end to end, and instrument the system so it reports its own return. What You'll Be Responsible For In this role, you'll: Ship the agent platform to production. An event-triggered queue, a headless model-agnostic runtime (choosing the runtime is an open decision you will close), durable state that survives a failed run, a human review gate, atomic rollback, and complete run logging in the warehouse. Own the evaluation layer, and switch on the gate that depends on it. Golden suites with behavioral assertions rather than intuition, judge criteria with a written rubric, safety cases that must pass on every run, and a CI gate that blocks a regression from merging. This is the precondition for every agent that does anything beyond read internal data. Build and register the agent portfolio. Reporting, drafting, linting, triage and question-answering agents across the executive, team-lead and individual-contributor layers, plus a meta layer that observes the platform and improves it. Enforce governance in code. Risk tiers the pipeline actually enforces, least-privilege credentials per agent, tool-permission gates, a decision audit log, and autonomy classes where the dangerous class has no code path rather than a warning label. Nothing runs without a registered owner, tier, tool grant and human gate. Design how the system contacts people. A hard interruption budget per person, message bundling instead of a stream of pings, and a structure that gives something useful before it asks for anything. Adoption depends on this more than on any other single design choice. Own the platform tooling. The compiler and validator, inventory integrity, and the paths that distribute context and capabilities into the repositories and chat surfaces where work happens. Compute the operating measures from production data. A pipeline from raw system activity through to a computed maturity grade per team, defensible enough that a team can dispute the result and be answered with the query rather than an opinion. Instrument the platform's own return. A ledger that logs the work each agent absorbs and computes the monthly figure, so the value of the system is a measurement rather than a claim. How You'll Think Recursive Thinking You build the generator, not the artifact. When you need thirty agents, you do not write thirty agents; you build the inventory, the compiler and the distribution path that makes the thirty-first cost an afternoon, then a meta layer whose job is to watch the platform, find its drift and file the fix. The evaluation layer is the same move applied to trust. You are not checking whether agent is correct today. You are building the machine that decides whether every future agent is allowed to ship, which means the suite has to be right in a way the agent does not, and the thing that grades has to be graded too. Inversion Thinking You start from the failure and work backward to the design. The rule is that an agent may never autonomously write a commitment into a shared work system. The weak implementation is an instruction in a prompt. The strong is that the credential in the agent's tool grant physically cannot set an owner, a due date or a status, so no amount of clever input, prompt injection or model error produces the forbidden write. You reach for the second first. Same for evaluation. Before writing a suite you enumerate how the agent can be wrong: an update that invents progress that did not happen, that quotes a private channel into a public digest, that is accurate and reads as an accusation, that credits the wrong person. Then the suite is that list, each case caught before the agent ships rather than after it embarrasses someone. AI-Native Execution You use agentic tools on real work, in files and repositories, with the same rigor you apply to anything else you ship. You have a setup of your own and can describe it mechanically: what triggers it, what it is allowed to touch, where the human approves, what it logs, and how you found out the time it went wrong. That experience is this job, generalized. You are building for async engineers across 40+ countries who will judge the platform by whether it saves them an hour or costs them, so you are your own first user and your own harshest reviewer. You Might Be a Good Fit If You Must Have Have shipped production LLM agent systems that other people depended on. Not demos, not internal showcases. Systems with operational history, real users and at least incident you can talk through. Prompt engineering on its own does not clear this bar. Design evaluations, not spot checks. You build golden sets, write behavioral assertions, define judge rubrics, set pass thresholds and gate CI on the result. You can explain why "we reviewed a bunch of outputs and they looked good" is not evaluation. Have done deep API work against the systems work actually lives in, and have authored MCP servers. You know the specific failure modes of those APIs, not just that they exist. Own infrastructure end to end in Python on GCP, with a cloud warehouse and infrastructure as code. You provision, deploy, monitor and roll back your own systems, and you close architecture decisions rather than routing them. Have taste about how software contacts humans. You treat every notification as spending a limited amount of trust. Strong Signal Public work in this space. An open-source agent framework, an MCP server, an evaluation harness, or writing on agent reliability that other practitioners cite. LLM observability and cost instrumentation. Tracing agent runs, attributing spend per run, and building the queries that turn raw logs into a report someone acts on. You have built an internal platform that non-engineers adopted voluntarily, and can describe what you changed after watching them use it. What Success Looks Like The platform is boring. Agents run on a schedule and on events, state survives restarts, failed runs roll back cleanly, and every run can be reconstructed from its log. Nothing ships unevaluated. Every registered agent has a real suite with safety cases, the gate blocks regressions, and when someone challenges an output the answer is a test case rather than an argument. The dangerous action is impossible, not discouraged. An audit of any agent's credentials shows it cannot perform the writes it is not allowed to perform, and the audit log makes every consequential decision traceable. Teams pull the platform instead of being pushed. Agents get adopted because the reports are useful and the contact is rare and well-timed, and each team ends up with at least workflow that runs automatically. The platform reports its own value. The work absorbed is measured and published, so the case for expanding it is made with data rather than enthusiasm. What We Offer Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. About the Team Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. ~400 team members 60+ countries 20+ languages spoken Over $1B raised (including our $500M Series F) 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

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📍 Anywhere•16 Oct 2026
PAYCompetitive SalaryFULL TIME

About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role We are seeking a Platform Software Engineer with deep experience in distributed systems to help design, build, and maintain core platform services. You will work primarily in TypeScript and Go to deliver reliable, scalable, and secure systems that power Supabase at massive scale. What you'll be doing: Design and implement distributed services and APIs that power the Supabase Platform. Lead projects that improve scalability, reliability, and cost efficiency across existing systems. Build data-intensive workflows, background jobs, and event-driven pipelines. Own service SLIs/SLOs and collaborate on incident response and post-incident reviews. Improve system observability with metrics, logging, tracing, and profiling. Contribute to our CI/CD and release processes to ship safely and quickly. Partner with product teams to deliver features end-to-end, from design docs to production. Write clear design documents, RFCs, and high-quality tests. What we're looking for: Experienced in designing and operating distributed systems, with strong foundations in consistency, fault tolerance, partitioning, consensus, and back pressure. Proficient in TypeScript and/or Go, ideally with 5+ years building production services in or both languages (other languages also considered). Comfortable with cloud infrastructure (AWS preferred) and container orchestration. Familiar with multi-tenant architectures, API design, and data modelling. Knowledgeable about networking fundamentals and security best practices. Experienced with Infrastructure as Code (Pulumi preferred; Terraform/CDK also fine). Comfortable participating in rotations for large-scale production systems. Nice to have: Experience with Postgres internals, logical replication, or CDC pipelines. Experience with service meshes, workload identity, or zero-trust networking. Background in performance engineering and capacity planning. Open source contributions in systems, databases, or runtime tooling. What We Offer Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. About the Team Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. ~400 team members 60+ countries 20+ languages spoken Over $1B raised (including our $500M Series F) 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

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📍 Anywhere•16 Oct 2026
PAYCompetitive SalaryFULL TIME

About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role Supabase manages millions of Postgres instances and is growing. We have strong teams across observability, release engineering, and incident management — and we're concentrating our reliability efforts into a dedicated SRE practice that ties the discipline together across the platform. You'll be embedded within Service Operations, and your primary job is to make every engineering team more reliable — not by owning their infrastructure, but by establishing the practices, frameworks, and feedback loops that let them own reliability themselves. You'll work across the org: sometimes setting the standard, sometimes pair-programming a fix, sometimes helping a team define their error budget, sometimes telling them it's exhausted. This role is ideal for someone who has a strong vision for how SRE should work and thrives in async, fast-paced environments where influence matters more than authority. What You'll Own Partner with service teams to define meaningful SLIs and SLOs grounded in customer experience, and build the error budget policies that turn them into engineering decisions Own and evolve the Operational Readiness Review (ORR) process — conducting reviews for new services and major changes across observability, alerting, runbooks, capacity, and graceful degradation Strengthen the incident-to-improvement pipeline: connecting postmortem findings to operational readiness gaps, identifying repeat failure patterns, and driving systemic fixes Act as the reliability expert teams pull in for architecture reviews, failure mode analysis, dependency mapping, and resilience design Identify and quantify operational toil across the org, and build or advocate for automation that eliminates it Help teams design sustainable practices: alert quality, escalation paths, runbook coverage, and noise reduction Track and report on org-wide operational maturity, surfacing systemic gaps and driving remediation You Might Be a Good Fit If You Have 7+ years of experience in SRE, production engineering, or reliability-focused roles, including experience shaping SRE practices and driving adoption across engineering teams Have a software engineering mindset — you write code and build tools, not just configure them Have hands-on experience defining and operationalizing SLOs/SLIs at scale, including error budget policies that actually influenced engineering decisions Have deep experience with incident response, postmortem facilitation, and turning incident learnings into systemic improvements Have worked with large-scale multi-tenant systems (bonus: managed database platforms or Postgres) Are proficient with cloud infrastructure (AWS preferred) and infrastructure-as-code (Pulumi preferred, Terraform/CDK also acceptable) Communicate clearly and persuasively — this role requires influencing without authority across a distributed org Have experience in async or globally distributed teams Are energized by making other teams more effective rather than being the who fixes everything Nice to Have Experience with Kubernetes-based platform operations Familiarity with OpenTelemetry, VictoriaMetrics, Grafana, or similar observability tooling Experience building developer-facing reliability tooling (SLO dashboards, ORR frameworks, toil tracking, DORA metrics) What We Offer Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. About the Team Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. ~400 team members 60+ countries 20+ languages spoken Over $1B raised (including our $500M Series F) 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

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📍 Ireland, Portugal, UK•16 Oct 2026
PAYCompetitive SalaryFULL TIME

What do we do? Paddle offers digital product companies a completely different approach to their payment infrastructure. Instead of assembling and maintaining a complex stack of payments-related apps and services, we’re a Merchant of Record for our customers. That means we take away 100% of the pain of payment fragmentation. It’s faster, safer, cheaper, and, above all, way better. We’re backed by investors including KKR, FTV Capital, Kindred, Notion, and 83North and serve over 10,000 software sellers in 245 territories globally. The Role: We are seeking a Senior Analytics Engineer to drive significant business impact by shaping our data infrastructure, developing robust data models, and promoting best practices in analytics engineering (e.g., data quality, documentation, and scalable data architectures). You will collaborate closely with business stakeholders to identify and deliver high-value data solutions and provide informal mentorship to junior team members, fostering their growth and enhancing team capabilities. What you'll do: Create and maintain complex, scalable data models in Snowflake using dbt. Expose datasets effectively in BI tooling to enable robust self-service analytics. Perform simple data ingestion tasks using no-code tools and ensure streamlined data flows. Add comprehensive metadata to datasets, including documentation, data quality checks, and sensitive data masking. Activate data by pushing it from Snowflake into other operational tools. Proactively identify and raise data quality issues to the respective process owners for resolution. Lead training sessions and initiatives to drive adoption and effective use of BI tools across the organization. Mentor junior analytics engineers, fostering knowledge-sharing and professional growth. We'd love to hear from you if you: Extensive experience in analytics engineering or related data roles, with demonstrated expertise in advanced SQL, dbt, and Snowflake. Proficient in using BI tools (e.g. Tableau, Looker, PowerBI, Snowsight) to deliver clear, actionable insights for business stakeholders. Skilled in performing data ingestion and activation using no-code tools (e.g. Fivetran, Stitch), ensuring efficient data integration into operational systems. Knowledgeable in managing metadata, documentation, data quality checks, and sensitive data masking effectively. Effective at collaborating closely with diverse stakeholders, understanding their data needs, and delivering impactful solutions. Experienced in conducting training sessions and providing informal mentorship to junior analytics team members, fostering a collaborative and knowledge-sharing environment. Everyone is welcome at Paddle At Paddle, we’re committed to removing invisible barriers, both for our customers and within our own teams. We recognise and celebrate that every Paddler is unique and we welcome every individual perspective. As an inclusive employer, we don’t care if, or where, you studied, what you look like or where you’re from. We’re more interested in your craft, curiosity, passion for learning and what you’ll add to our culture. We encourage you to apply even if you don’t match every part of the job ad, especially if you’re part of an underrepresented group. Please let us know if there’s anything we can do to better support you through the application process and in the workplace. We will do everything we can to support any accommodations needed. We’re committed to building a diverse team where everyone feels safe to be their authentic self. Let’s grow together. Why you’ll love working at Paddle We’re a diverse, growing group of Paddlers who pride ourselves on our transparent, collaborative and respectful culture. We live and breathe our values, which are: Paddle Together - “None of us, is as smart as all of us” Paddle Simply - “Simple can be harder than complex: you have to get your thinking clean to make it simple” Paddle for others - “We can realise our wildest dreams, so long as we help enough other people to realise theirs” We offer a full suite of benefits, including attractive salaries, stock options, unlimited holidays, enhanced parental leave, retirement plans, private healthcare and well-being initiatives. We invest in learning and will help you with your personal development via constant exposure to new challenges, an annual learning fund, and regular internal and external training. Connecting at Paddle We’re a ‘digital-first’ company, which means our Paddlers always have the freedom to choose where, when and how they work within our hub locations. We recognize that where our Paddlers do their best work is unique to them and we provide trust and autonomy for everyone to work in a way which fits them best. We also value the power of connection and have invested in global hubs which help local communities flourish and bring us together for focused collaboration. Our Paddle hubs: In Europe: UK (London headquarters), Portugal (Lisbon hub), Netherlands and Ireland (Dublin hub) In North America: Austin, TX (USA) and Toronto (Canada) Our hub philosophy creates an engaging experience for all Paddlers, wherever, whenever and however we choose to work. To support this, we focus hiring within our hubs and will always openly share the available locations for each open position on our job description.

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📍 Ireland, Portugal, UK•16 Oct 2026
PAYCompetitive SalaryFULL TIME

What do we do? Paddle offers digital product companies a completely different approach to their payment infrastructure. Instead of assembling and maintaining a complex stack of payments-related apps and services, we’re a Merchant of Record for our customers. That means we take away 100% of the pain of payment fragmentation. It’s faster, safer, cheaper, and, above all, way better. We’re backed by investors including KKR, FTV Capital, Kindred, Notion, and 83North and serve over 10,000 software sellers in 245 territories globally. The role: We are looking for a Head of Data Science to build Paddle's data science capability from the ground up. Our Merchant of Record model gives us a data position no PSP or billing provider has: subscription and pricing context alongside granular payment-outcome data, across thousands of software businesses. This role exists to turn that into economic value by putting machine learning and agentic systems into production. The mandate is deliberately narrow and deliberately ambitious: data science at Paddle owns automated decisioning inside the product — traditional machine learning and agentic systems alike — not decision-support analytics. We have a long list of candidate opportunities than we can fund, spanning payment performance and revenue recovery, sales and marketing operations, growth and monetisation intelligence, and risk, trust and compliance. We have a working hypothesis about which of these pays back first, and we'll share it — but part of the job in your first quarter is to pressure-test it, size the alternatives yourself, and tell us where to start. This is a founding role, and for the first few quarters it is a building role more than a managing. You'll be the person in the function: doing the analysis, engineering the features, training and evaluating the models or agents, taking the first system live with our engineering teams — and then operating it, answerable for its uptime, its drift and its numbers. the first use cases are proving out, you'll hire and lead a hub-and-spoke team of data scientists and machine learning engineers embedded across our highest-value business areas. You'll report into the VP of Data and work in close partnership with Product, Payments, Engineering, Risk and Finance. What you'll do: Prioritise which opportunities have the biggest impact.. Build a value-based use-case backlog across payment performance and revenue recovery, sales and marketing operations, growth and monetisation intelligence, and risk, trust and compliance; size the leading candidates properly; and make the call on sequencing with the relevant Product, Risk, RevOps and Finance stakeholders. This gets refreshed quarterly. Personally deliver the first system end to end: the analysis and back-test, the features, the model, policy or agent, the deployment, and the shadow and A/B tests that prove it works. Not a spec handed to someone else to build. Operate what you deploy. Own monitoring, retraining, drift response, incident handling and rollback for live decisioning, alongside the engineering teams whose services call it — and set the expectation that the function runs its systems rather than shipping them. Work across both traditional ML and agentic systems, and be honest about which a problem actually needs: a propensity or uplift model, a policy of rules, or an agent with tools, evals against golden answer sets and trace-level observability. Several of our strongest candidate use cases point each way. Build and lead the team — hire senior data scientists embedded in value areas and machine learning engineers in the hub, and set the professional standards, shared methods and reusable components the function runs on. Establish the production stack alongside Data Platform and Engineering: reproducible training data, code and artefacts; a model registry; inference services with real latency, availability and rollback requirements; historically accurate features where decisions need backdated reconstruction; eval harnesses and trace observability for agentic workflows; and monitoring for data quality, drift, model performance and economic outcomes. Start ad hoc where that's sufficient and platformise the first use cases have shown what's actually needed. Own value capture end to end. Shadow-test and A/B test every deployment against the incumbent strategy, translate metric movement into a financial number on a methodology co-signed by Finance, and publish a quarterly report on realised value. Set the governance model for automated decisioning — proportionate risk assessment, clear ownership, latency and availability requirements, human escalation and rollback — working with Legal, Privacy, Compliance and Risk on GDPR, EU AI Act and payments obligations, and producing the evidence early enough to shape the design. Define the boundaries and the working relationship with Product Science, Analytics Engineering, Data Platform and AI Enablement, so accountability for decision support versus automated decisioning stays unambiguous. Deliver cross-functionally: embed in delivery groups with product owners, domain experts and platform engineers rather than handing models over the wall. We'd love to hear from you if you: Experienced leading data science or ML teams that own systems in production, with deployments that moved a commercial metric and kept running afterwards. Proofs of concept and dashboards are not what we're hiring for. Hands-on now, not formerly. Your first quarters are spent writing SQL and Python, engineering features, evaluating models and agents, and doing the work that gets a system live — not reviewing someone else's. Experienced across both traditional ML and agentic systems, and clear about how they differ in practice: propensity and uplift models, feature pipelines and drift on side; tool and context design, prompt and retrieval iteration, evals against golden answer sets and trace observability on the other. Practised at running live systems rather than just launching them — monitoring, retraining, incident response, rollback, and the reality of a decision the business depends on. Pragmatic about method: happy to argue for rules or heuristics where they capture most of the value, and to reserve models and agents for where they genuinely earn their keep. Comfortable with an undefined starting point. There's a long list of candidate use cases and a strong internal hypothesis, but no fixed roadmap — you'll be expected to form your own view, back it with numbers, and defend it to an executive audience. Strong on measurement — experimentation, uplift modelling, back-testing — and willing to hold your own work to a financial number that Finance will scrutinise. Fluent in the engineering side of production ML and agents (training pipelines, model registries, inference services, feature stores, drift detection, trace observability) and able to hold your own with senior engineers on latency, availability, observability and rollback. Able to hire, level and develop senior data scientists and ML engineers, and to set standards for a function that doesn't exist yet. Credible with executives and commercial stakeholders: you can take a use case from business problem to value estimate to prioritisation decision, and say no to low-value work. Experienced in payments, fintech, subscriptions, high-volume commercial operations or another regulated transactional domain — enough to get to a credible value estimate in a new area quickly. Comfortable treating regulated ML as a design constraint rather than paperwork — model risk assessment, DPIAs, auditability, traceability of model and policy versions to production decision logic. Everyone is welcome at Paddle At Paddle, we’re committed to removing invisible barriers, both for our customers and within our own teams. We recognise and celebrate that every Paddler is unique and we welcome every individual perspective. As an inclusive employer, we don’t care if, or where, you studied, what you look like or where you’re from. We’re more interested in your craft, curiosity, passion for learning and what you’ll add to our culture. We encourage you to apply even if you don’t match every part of the job ad, especially if you’re part of an underrepresented group. Please let us know if there’s anything we can do to better support you through the application process and in the workplace. We will do everything we can to support any accommodations needed. We’re committed to building a diverse team where everyone feels safe to be their authentic self. Let’s grow together. Why you’ll love working at Paddle We’re a diverse, growing group of Paddlers who pride ourselves on our transparent, collaborative and respectful culture. We live and breathe our values, which are: Paddle Together - “None of us, is as smart as all of us” Paddle Simply - “Simple can be harder than complex: you have to get your thinking clean to make it simple” Paddle for others - “We can realise our wildest dreams, so long as we help enough other people to realise theirs” We offer a full suite of benefits, including attractive salaries, stock options, unlimited holidays, enhanced parental leave, retirement plans, private healthcare and well-being initiatives. We invest in learning and will help you with your personal development via constant exposure to new challenges, an annual learning fund, and regular internal and external training. Connecting at Paddle We’re a ‘digital-first’ company, which means our Paddlers always have the freedom to choose where, when and how they work within our hub locations. We recognize that where our Paddlers do their best work is unique to them and we provide trust and autonomy for everyone to work in a way which fits them best. We also value the power of connection and have invested in global hubs which help local communities flourish and bring us together for focused collaboration. Our Paddle hubs: In Europe: UK (London headquarters), Portugal (Lisbon hub), Netherlands and Ireland (Dublin hub) In North America: Austin, TX (USA) and Toronto (Canada) Our hub philosophy creates an engaging experience for all Paddlers, wherever, whenever and however we choose to work. To support this, we focus hiring within our hubs and will always openly share the available locations for each open position on our job description.

T
📍 Tesco House; Shire Park, Kestrel Way, Welwyn Garden City, AL7 1GA, United Kingdom•15 Oct 2026
PAYCompetitive Hourly Pay + 10% Colleague DiscountFULL TIME

As Product Manager for Customer Range, you will own the vision, strategy and delivery of a critical product that helps determine which products customers can buy in Tesco stores and. Have you ever gone into a supermarket looking for a product and found it isn't stocked in that store? Or noticed that a store has too much of product and not enough of another? myProduct Range helps solve these problems. It enables Tesco to make smarter, data-driven decisions about which products should be ranged in each store, ensuring local customers can find the products most relevant to them while making the best use of limited shelf space. As Tesco moves from traditional range planning to a science-led approach, you will play a key role in transforming how product ranges are created, optimised and maintained. Working across Commercial, Technology, Data Science and Operations, you will help shape the tools and capabilities that influence millions of customer shopping decisions every week. You will have end-to-end ownership of the product, setting the long-term vision, validating ideas early and solving complex customer and business problems. Your success will be measured by your ability to improve product availability, increase customer satisfaction, drive commercial performance and simplify decision-making for colleagues at scale.  Define and deliver the vision, strategy and roadmap for Customer Range, helping Tesco ensure customers can find the products they want in the stores where they shop.   Lead Tesco's transition from traditional range planning to a science-led, data-driven approach that continuously improves customer choice, availability and commercial performance.  Deeply understand customer, colleague and business needs, using data and insight to identify the biggest opportunities and problems to solve.  Partner with Engineering, Data Science, Analytics, Research and Design to discover, test and deliver solutions that create measurable value.  Validate assumptions early through experimentation and MVPs, focusing on reducing risk and accelerating learning.  Make clear prioritisation decisions, balancing long-term strategic outcomes with the needs of a fast-moving retail business.  Own product performance and success measures, using data, feedback and experimentation to continuously improve outcomes.  Influence senior stakeholders across Commercial, Technology and Operations through compelling storytelling, evidence-based decision making and a clear product vision.  Shape how Tesco uses data, science and technology to make better ranging decisions at scale, influencing millions of customer shopping journeys every week.  Contribute to and help grow the Product Management community, sharing best practices and supporting the development of product thinking across Tesco.  Experience owning and developing successful products that deliver clear customer and business value.  Ability to define a product vision and strategy and turn it into measurable outcomes.  Strong collaboration skills, with experience working across Engineering, Data Science, Analytics, Research and Design.  A customer-focused mindset and a passion for solving real-world problems.  Experience using data, insight and experimentation to make product decisions.  Comfortable making trade-offs and prioritising in a fast-moving, complex environment.  Excellent communication and stakeholder management skills.  A structured, analytical approach to problem solving and decision making.  You might know us as a supermarket, technology company or even for our award-winning mobile network. Truth is, we’re all of those things, and much more. Our colleagues work with goal in mind, helping to make every day a little better for our customers, colleagues and communities all over the world. No two customers are the same, neither are our colleagues.  At Tesco, we champion a balance that lets you thrive both in and out of work. Spend 60% of your week collaborating with colleagues at our office locations or local sites and the rest remotely. Whether you're just kicking off your career, juggling passions, or navigating big life events, we're here to support you. We always welcome a conversation about flexible working, so talk to us throughout your application about how we can support.  We're proud to be an accredited Disability Confident Leader, where everyone’s welcome. That’s why we commit to providing a fully inclusive and accessible recruitment process. If you need support with your application, click here for more information. And if you're interested in joining our team but don't tick every box, don't let that hold you back from applying. 

A
📍 Virtual Location - Uk, United Kingdom•15 Oct 2026
PAYCompetitive Salary & BenefitsFULL TIME

We are looking for a Senior Security Engineer to join Point-in-Time Security Testing, AWS's expert security assurance function for the launches and architectures where security automation alone is not enough. You will be a technical leader on a team, owning complex security testing engagements end-to-end, applying human judgment where it changes security outcomes and building automation for everything else.Amazon Web Services (AWS) is the leading cloud service provider, providing virtualized infrastructure, storage, networking, messaging, and many other services to customers all over the world, including government customers. AWS runs a globally distributed environment operating at massive scale, and businesses from start-ups to large enterprises and governments run their most sensitive workloads on it. Point-in-Time Security Testing takes on the security engagements where the architecture, threat model, or potential impact is complex enough that expert reasoning matters most. We start from the architecture and the risks rather than a generic checklist, think like an adversary, and demonstrate realistic impact. We build harnesses that steer agentic AI so experts have more time for the difficult problems, and we turn what we learn into shared methods, mechanisms, and detections for the rest of the team. As AWS ships agentic systems of its own, those same systems become targets we test.Our work is measured by how much difficult security uncertainty we resolve with the human time available to us, not by how many issues we find. In this role you will investigate high-consequence risks, which are specific, testable claims about how an adversary could cause harm, and take each to a documented conclusion. You will either demonstrate the issue, rule out the attack path with enough evidence, or expose a weakness in a shared mechanism or detection.You must produce results in the face of ambiguity and imperfect knowledge, foster constructive dialogue, and drive resolution when faced with disagreement. You work efficiently and routinely deliver the right things with limited guidance. You take a long-term view of the team's methods and tooling, proactively fix architectural and mechanism deficiencies, and propose larger project scopes that you can split into parallel work for yourself and others and reassemble successfully.Amazon's Leadership Principles of "Dive Deep", "Earn Trust", "Deliver Results", and "Invent and Simplify" will be called upon daily. Above all, we earn trust by choosing carefully where humans spend time, testing those areas deeply, and being honest about what we know and what we do not.Key job responsibilities- Own security for a portfolio of testing engagements across your team and partner-orgs, as well as leading individual complex engagements. Set the testing strategy across interconnected microservice architectures, successive launch iterations, and cross-service campaigns, and decide where to spend expert effort across the whole service portfolio.- Perform penetration testing and AI-augmented source code review of complex proprietary AWS software, directing the tooling at trust boundaries, abuse cases, and attack paths it would not reach on its own, confirming what it reports, and setting the methodology your team follows when they do the same.- Take each agreed risk hypothesis to a documented conclusion, whether that means demonstrating the issue with proof-of-concept code, ruling out the attack path with sufficient evidence, or identifying a weakness in a shared mechanism or detection that affects services beyond the under test.- Take on engagements where the customer case is understood but no security strategy exists yet, bring clarity to the ambiguity, and define the approach others will reuse. Challenge what a scope document assumes and identify what it misses, then keep the engagement moving when conditions change by building alternative test paths, re-scoping, and parallelizing work with dependent teams.- Trace attack paths across chained components and demonstrate compound risk that stays invisible when components are tested in isolation, including risk that crosses organizational and ownership boundaries.- Produce clear engagement results that record what you tested, why you chose those tests, what you found or ruled out, the limitations of the work, and the risk that remains, and write for non-engineering audiences in your domain when the decision sits with them.- Lead communication with developers, AppSec engineers, and other stakeholders when the scope is ambiguous or a fix is not straightforward, validate the fixes, work as an embedded security tester inside the development lifecycle when a launch calls for it, and lead escalations to closure with Senior Managers and Principal Engineers when a fix or a risk decision stalls.- Build the frameworks, runbooks, and rubrics that let the whole team test a new problem domain repeatably, not automation for a single harness. Tune the harnesses that raise the precision of the team's AI tooling, measure where they produce false positives or miss attack patterns, and generalize what works into a mechanism the team adopts.- Leave reusable mechanisms behind, such as fuzzers, integration security tests, detection rules, tooling, or documented methodology, track their adoption, and where the work depends on teams with their own priorities, build the mechanisms that get security outcomes prioritized and tracked to delivery.- Set the peer-review bar for the team. Review test plans, scopes, runbooks, and reports from peers and other teams, question coverage gaps, add the missing test cases, and ensure the work fits into the bigger picture and stays extensible and low-cost to adopt.- Lead multi-engineer engagements and mentor multiple engineers across your own and related teams, are sought out for your expertise, and participate in promotion assessments.About the teamWhy AWS Security?At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon's products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience across cloud, devices, retail, entertainment, healthcare, operations, and physical stores.Point-in-Time Security Testing sits within Proactive Security. While the wider organization builds the ability to find risk through signals, automation, AI, Bug Bounty, and continuous testing, our role is different. We take on the situations where expert reasoning matters most, and we make that expertise go further every year. Our vision is that every critical AWS launch receives the right depth of expert security testing, and every hour our team spends makes future testing more effective.Diverse ExperiencesAmazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed, we encourage you to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.Inclusive Team CultureIn Amazon Security, it's in our nature to learn and be curious. DEI events and learning experiences inspire us to keep learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.Training & Career GrowthWe're continuously raising our performance bar as we strive to become Earth's Best Employer. You'll find endless knowledge-sharing, mentorship, training, and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture.Basic Qualifications:- Experience (non-internship) in scripting, programming, and security code reviewing in a common programming language- Experience (non-internship) in troubleshooting systems issues, analyzing logs, or automating complex tasks using command line tools- Experience working in identifying security issues and risks, and developing mitigation plans- Experience (non-internship) in industry-based security vulnerabilities identification, attack patterns, and remediation techniques- Experience as a mentor, tech lead or leading an engineering team- Experience developing software code in or more programming languages (java, python, etc.)- Knowledge of information security technologies such as security design review, threat modeling, risk analysis, and software testing techniques- Knowledge of security technology and concepts (Authentication, Authorization, Single sign-on, Cryptography, etc.)- Experience in risk assessment and enabling organizations to make security decisions- Experience working with operations and business teams to communicate problem impacts and understand business requirements- Experience in enterprise software- Bachelor's degree or above in Computer Science, Computer Engineering, Cybersecurity, or other related discipline- Extensive Professional Experience penetration testing, source code auditing, bug hunting, or competitive CTF- Demonstrated ability to find non-trivial vulnerabilities through offensive testing of web applications and services and through source code review- Demonstrated mastery of two or more genuinely complex security domains such as networking, workload and tenant isolation, web application and API security, IAM, or cryptography, deep enough to find issues others miss and to encode that expertise into automation- Experience building and steering AI agents to do useful security work, and reasoning about how those same agentic systems can be attackedPreferred Qualifications:- Experience applying threat modeling or other risk identification techniques or equivalent- Experience with security in service-oriented architectures/microservices and web services- Experience building agentic AI harnesses, orchestrating agents through graphs or swarms, and working with agent-to-agent (A2A) protocols and the security properties of tool use, memory, and model context- Experience assessing the security of LLM-based or agentic applications, including prompt injection, tool and plugin abuse, and trust boundaries between agents- Experience performing or supporting Red Team engagements, with an understanding of holistic assessment- Web service assessment experience across authentication controls, session management, access controls, logic flaws, injection vulnerabilities, request smuggling, cloud privilege escalation, and tenant isolation- Experience with serverless architectures and common virtualization techniques (hypervisors, containers, jails), including escapes and exploits within those environments- Experience with micro-service, API-based, or service-oriented architectures- Experience with full-stack Linux or Unix software architectures from UI to infrastructure- Operations experience with CI/CD or managing distributed systems- Experience designing and implementing technical security controls at the business-division levelAmazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.