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Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. As a Finance Systems Analyst focused on integrations and automation, you’ll support the Finance Systems team in building, maintaining, and testing Application Programming Interface (API) integrations across core financial applications. You’ll work closely with senior Finance Systems team members to keep financial platforms communicating reliably, ensure automations run as expected, and document integration testing thoroughly in this hands-on, technically oriented role at the intersection of finance operations and systems engineering. By improving the reliability of financial data flows, you’ll contribute to 1Password’s mission of making it safer to use technology every day. How we’re using AI today On the Finance team, we’re using AI to drive productivity, scale insight, and deliver better decision-making across 1Password. AI helps us move faster and sharpen our thinking, from summarizing context and pressure-testing assumptions to turning complex inputs into clear executive-level narratives. We bring AI into our work thoughtfully, improving repeatable workflows while staying accountable for the accuracy, confidentiality, and controls behind every output, creating space to focus on judgement, strategic partnership, and meaningful business outcomes. This is a remote opportunity within Canada and the US. What we're looking for: • Build a foundation in technical work involving Application Programming Interfaces (APIs), integrations, automation, or related systems. • Work with Representational State Transfer (REST) APIs and JavaScript Object Notation (JSON) data. • Write or adapt scripts in Python, JavaScript, or another programming language, and apply sound technical logic across different tools and platforms. • Create and execute test cases for integrations and automated workflows, including edge cases, error handling, and retry logic. • Learn unfamiliar systems and technologies independently, using research and available tools to solve problems effectively. • Communicate clearly with technical and non-technical partners to understand requirements and explain solutions. • Document integrations, test results, and workflows clearly; experience with financial systems, NetSuite, Workato, Postman, or similar tools is helpful. What you can expect: • Support the design, development, maintenance, and release of integrations across financial applications such as NetSuite, Salesforce, Zip, Ramp, UKG, Workato, and Stripe. • Write and maintain scripts that automate data flows, transformations, and system-to-system synchronization. • Build and refine Workato recipes and integration workflows using APIs, JSON payloads, and webhooks. • Assist with SuiteScript customizations within NetSuite and develop small utilities that reduce manual work. • Design and run integration tests, validate data accuracy from end to end, and document results and follow-up actions. • Troubleshoot integration failures and data discrepancies across connected systems. • Collaborate with finance, accounting, procurement, data, legal, and other partner teams to understand needs, clarify requirements, and deliver reliable solutions. USA-based roles only: The annual base salary for this role is between $83,000 USD and $116,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $78,000 CAD and $109,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: London & San Francisco Workplace: onsite Application deadline: We are conducting interviews actively and aim to fill this role as soon as we find someone suitable. ABOUT THE OPPORTUNITY The OpenAI/Hugging Face incident may be the biggest warning shot we get before catastrophic loss-of-control. In its aftermath, Anthropic and OpenAI committed to giving embedded evaluators an unprecedented level of access.  Embedded evaluations are the best existing method to find out whether alignment is on track. With OpenAI predicting an automated researcher by March 2028, we don't have time to start with an MVP embedded evaluation and iteratively improve it. The first embedded evaluations will set the standard and we have to get it right.  As a fundamental researcher, your ground-breaking discoveries will make our embedded evaluations better. For example, our fundamental science team's paper “Measuring Reward-Seeking via Contrastive Belief Updates” can be adapted by embedded evaluators. We want more breakthroughs like this. We are also developing a “Science of Scheming”. The goal is ambitious and we’re looking for Research Scientists and Research Engineers who are excited to build a new hard science from the ground up. KEY RESPONSIBILITIES Collaborate with leading AI developers. We partner with multiple labs, giving you access to a breadth of models that no single AI lab could offer. Through long-term research collaborations, your work directly impacts how the most capable AI systems are built and deployed. Deeply study the RL dynamics that lead to the emergence of reward-seeking, evaluation awareness or misaligned preferences. Design and train model organisms, and scale your insights to frontier systems. Work towards “Scaling laws of scheming”. Build the empirical foundations to predict how scheming risks evolve as models scale in capability. Develop novel and ambitious evaluation techniques that have a chance of scaling to highly evaluation aware models. Deep dive into AI cognition. Discover patterns in the reasoning processes of frontier AI systems that no one else has ever observed before. Note:  We are not hiring for interpretability roles. KEY REQUIREMENTS Fast-paced empirical research: You can design and execute experiments. You always strive to speed up iteration cycles and relentlessly drive progress towards the next empirical milestone. AI power-user: You’re capable of using AI to accelerate your work, technical or otherwise. You have experience using different models, know which ones to use for which tasks, when not to use AI, and always experiment with new AI workflows. Conceptual thinking and writing : You are familiar with prior work on AI scheming, from classic literature like Is Power-Seeking AI an Existential Risk? to modern research.  You have done enough deep thinking about the problem to generate some original ideas. Given vague and underspecified concepts, you come up with clarifying insights, clever ideas for experiments, and detailed plans. To explain your work, you can produce high-quality scientific writing, figures, blog posts, microsites, and tweet threads. Intense interest in AI progress: You always stay up to date on the latest model releases, and continuously tinker with new and creative AI workflows to speed up your work. You are fascinated by AI cognition and actively spend time trying to understand how they think. Experience RL-training LLMs: You have hands-on experience in training LLMs via reinforcement learning. You have encountered and resolved countless painful issues from GPU failures to debugging learning instabilities. Strong analytical skills: You bring rigorous quantitative chops from working on fields such as scaling laws in LLMs, statistical physics, dynamical systems, applied statistics etc. You're comfortable building mathematical models of empirical phenomena and know how to extract signal from noisy data. Mission commitment: Apollo estimates that RSI will happen soon, and we are extremely concerned that AGI will catastrophically not be aligned with human values. Hence we have an “intense, but in a good way” culture . We will ask a lot from you, but in return you will personally have a large impact on loss-of-control risk. NICE TO HAVES Software engineering skills: Strong software engineering skills correlate highly with effective execution, even in an era of AI agents. Our entire stack uses Python. Project management experience: We are rapidly growing while executing high-quality research projects as fast as possible. You have previously managed strong ICs and can keep research projects on schedule despite unexpected delays or surprising experiment results. We want to emphasize that people who feel they don’t fulfill all of these characteristics but think they would be a good fit for the position, nonetheless, are strongly encouraged to apply. We believe that excellent candidates can come from a variety of backgrounds and are excited to give you opportunities to shine. We don’t require a formal background or industry experience and welcome self-taught candidates. BENEFITS This role offers a market-competitive salary, equity, and competitive benefits. Depending on your experience, you may be offered a Lead or individual contributor position. Salary: Recognised experts who can lead projects of significant scope: USD 350,000 - USD 590,000 or £230,000 - £395,000 Strong individual contributors: USD 245,000 - USD 405,000 or £160,000 - £270,000 Unlimited vacation Unlimited sick leave Up to 6 months of paid parental leave Comprehensive health, dental and vision insurance Retirement savings with competitive employer matching (e.g. 401(k) for US employees) Lunch, dinner, and snacks are provided for all employees on workdays Paid work trips, including staff retreats, business trips, and relevant conferences A yearly $1,000 (USD) professional development budget Relocation support and visa fees (if applicable). We are able to sponsor visas to the UK and US. LOGISTICS Time Allocation : Full-time Location : This is an in-person role working out of our London or San Francisco office. We offer flexible working hours and wfh arrangements. Remote candidates will only be considered if they are exceptional and can travel at least 1 week/month to either office. Visa sponsorship: We sponsor visas in both the UK and US. Sponsorship isn't guaranteed for every role or candidate, but if we make you an offer, we'll work with you to find the right visa route. ABOUT APOLLO RESEARCH The rapid rise in AI capabilities offers tremendous opportunities, but also presents significant risks. At Apollo Research, we’re primarily concerned with risks from Loss of Control, i.e. risks coming from the model itself rather than e.g. humans misusing the AI. We’re particularly concerned with deceptive alignment / scheming, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight. We work on the detection of scheming (e.g., building evaluations and novel evaluation techniques), the science of scheming (e.g., model organisms and the study of scaling trends), and scheming mitigations (e.g., control). We closely work with multiple frontier AI companies, e.g. to test their models before deployment and collaborate on fundamental research. At Apollo, we aim for a culture that emphasizes truth-seeking, being goal-oriented, giving and receiving constructive feedback, and being friendly and helpful. If you’re interested in more details about what it’s like working at Apollo, you can find more information here. ABOUT THE TEAM Alex Meinke leads the fundamental science team’s research agenda with guidance from Marius Hobbhahn, though team members lead individual projects. You will mostly work with the fundamental science team as well as our team of software engineers, but you will likely sometimes interact with the governance team to translate technical knowledge into concrete recommendations. You can find our full team here. Equality Statement: Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. How to apply: Please complete the application form with your CV. The provision of a cover letter is optional but not necessary. Please also feel free to share links to relevant work samples. About the interview process: Our multi-stage process includes a screening interview, 3 technical interviews, and a final interview with Marius (CEO). The technical interviews will be closely related to tasks the candidate would do on the job. There are no LeetCode-style general coding interviews. If you want to prepare for the interviews, we suggest looking at one of our papers or blog posts published in the last 12 months. Then either (a) replicate/extend the result hands-on, or (b) identify a conceptual limitation and write a shovel-ready project plan that would address it. Your Privacy and Fairness in Our Recruitment Process: We are committed to protecting your data, ensuring fairness, and adhering to workplace fairness principles in our recruitment process. To enhance hiring efficiency, we use AI-powered tools to assist with tasks such as resume screening. These tools are designed and deployed in compliance with internationally recognized AI governance frameworks. Your personal data is handled securely and transparently. We adopt a human-centred approach: all resumes are screened by a human and final hiring decisions are made by our team. If you have questions about how your data is processed or wish to report concerns about fairness, please contact us at info@apolloresearch.ai.

We’re looking for a Senior Product Builder to own the backend and architecture that let Hub manage a whole fleet of clusters. Your first focus will be the mechanism that sends access, secret, tenant and licence changes out to every connected cluster and brings deployments, health and audit records .

Location: United States Senior Engineering Manager, Data & AI Lead the engineering team behind Foundry, Insights, Intel, and Voice: the agents, analytics, and data intelligence of the modern freight platform. About the Role Remote, United States. Some travel is required for team onsites, customer visits, and industry events. Relocation assistance is not provided. The Senior Engineering Manager, Data & AI leads the engineering group behind Foundry, Insights, Intel, and Voice. You'll own the group's technical strategy, delivery, and quality, hire and develop its engineers, and stay hands-on by prototyping, writing evals, reading traces, and reviewing architecture in depth. The team is about eight engineers today and growing. It also owns the shared foundation those products run on: a context graph that connects loads, trips, carriers, drivers, customers, documents, and conversations; event-sourced platform data streaming into the warehouse; and the evals, tracing, guardrails, and model routing every agent depends on. Alvys facilitates more than $1 billion in funds every month across invoices, carrier payments, and driver settlements. Behind that volume is one of the richest operational datasets in freight. This team turns it into agents that do real work and intelligence customers can't get anywhere else. Engineering leaders at Alvys are builders. Expect to spend about a third of your time building. You'll set the standard for how an AI-first team works: coding agents in the daily workflow, evals before scale, and production evidence over demos. The platform runs on .NET (C#, and increasingly F#), TypeScript, and Python on Azure and AKS, with Cosmos DB, Postgres, Elasticsearch, Snowflake, dbt, and Fivetran underneath. We're looking for someone who treats AI as a first-class material, both in what we build for customers and in how the engineering team works. Industry Insight Freight runs on phone calls, emails, PDFs, and tribal knowledge. The U.S. trucking industry is worth approximately $1 trillion today and is projected to grow by roughly 60% to nearly $1.5 trillion over the next decade. Yet the work that moves that freight is still largely manual. Nearly 580,000 active U.S. motor carriers operate in a highly fragmented market; 91.5% run 10 or fewer trucks, and 99.3% run 100 or fewer. Few of these businesses will ever build a data team of their own. Every check call answered, rate confirmation read, and exception caught by software is time back for a small team running on thin margins. Freight data is also structurally messy. A single load spans brokers, carriers, drivers, shippers, and documents, each with its own identifiers, and the truth lives across EDI messages, phone calls, and free text. Generic AI tooling doesn't model any of this. That's why we're building a context graph grounded in how freight actually moves. Agents can now answer the phone, read documents, query operational data, and take actions inside a TMS. In freight, those actions move trucks and money. They must be correct, auditable, and safe. About Alvys Alvys is building the operating system for modern freight. Our AI-powered, cloud-native platform brings dispatch, driver mobile, safety and compliance, billing and settlements, native EDI, reporting, integrations, and automation into one product. We were founded in 2020 by freight industry insiders who were tired of software built by people who had never moved a load. That combination of deep customer empathy and ambitious technology still defines us. We visit customers, learn how the work actually happens, prototype quickly, debate ideas openly, and turn the best ones into products people rely on. More than 3,000 trucking and brokerage companies use Alvys today, including larger fleets with increasingly sophisticated operations. We've raised $77M to date, including a $40M Series B. That gives us real momentum and room to make bold bets, while remaining early enough that a great engineering leader can materially shape the product, team, and company. We are building more than a modern interface for a traditional TMS. Foundry, our agent platform within Alvys, helps freight teams make decisions and complete work, and this team builds it. You'll work with curious, direct, low-ego people who solve hard problems, move quickly from prototype to production, and measure customer impact. Our Principles AI makes building cheap. It does not make judgment cheap. The constraint has moved from writing code to deciding what to build and proving it is right. Agents belong in the middle of the pipeline. People remain accountable at both ends. These principles turn that into how we work every day. Own the outcome You own what you ship. "AI wrote it" is not an answer. Judgment stays human. People decide what matters and whether the result is correct. Verify independently Generation and verification are separate. Tests, review, and approval run independently of the agent that did the work. Autonomy is earned per workflow. Agents advance only on measured precision against human-verified outcomes. No number, no promotion. Design for control AI-first means security-first. Customer data stays on approved infrastructure under managed identity. Cost is an engineering constraint. Every shared workflow has termination conditions and bounded fan-out. Build durable systems Knowledge is tool-agnostic. Reviewed intent lives once; vendor-specific machinery is generated from it. Multiple vendors are a design assumption. Durable workflows don't couple to one model or harness. Twice is a pattern. Automate repeated work and share it within 48 hours. The Data & AI Portfolio The Data & AI portfolio covers Foundry, our embedded automation and agent platform, including a unified agent chat that answers questions and takes actions; Insights, conversational analytics grounded in each customer's own operating data; Intel, proprietary data intelligence drawn from third-party, licensed, and proprietary data sources; and Voice, AI voice and chat agents for load status, driver check calls, and the follow-ups in between. It also includes the shared foundation: the context graph, the data platform that feeds it, and the evals, tracing, guardrails, and model routing behind every agent. Why This Role Few engineering leadership roles combine frontier AI work, a proprietary dataset, and an industry this underserved. This one does. You build at the frontier, in production. Context graphs, self-learning agents, voice agents, and agentic automation are still being figured out across the industry. Here you ship them to real customers, on live freight operations, not benchmarks. You work with data no one else has. More than 3,000 trucking and brokerage companies run on Alvys, and more than $1 billion in funds moves through the platform every month. Combined with third-party and licensed sources, that data is the raw material for intelligence no single fleet or brokerage could build alone. Your work changes how an industry operates. With 91.5% of carriers running 10 or fewer trucks, most of our customers will never hire a data team. The agents you build give a small business the leverage of a much larger one. You own a portfolio, not a feature. Four products share one platform. You set its architecture, choose its models and vendors, and decide where the team invests as it grows. You shape the team from the start. The group is about eight engineers today. You'll hire the next wave and set the standard for how an AI-first engineering team works at Alvys. You stay close to the decisions. You report to the Head of Engineering, work directly with customers and our Forward Deployed Engineering team, and have a direct line into company planning, backed by a $40M Series B. What You'll Be Responsible For Leading and Growing the Team Manage, coach, and develop a team of about eight engineers, including senior engineers and tech leads, and grow it as the portfolio expands. Hire senior and staff engineers, and keep the quality bar high as the team scales. Run the team AI-first, with coding agents in the daily workflow and clear standards for how AI-written code is reviewed, tested, and shipped. Owning Technical Strategy Set technical direction for agents, data, and the context graph, and make the build, buy, and model calls with cost, quality, and speed in view. Make tradeoffs across four products that share one platform, including what gets built, what gets cut, and where the team invests. Building Agents That Learn Own the agent development lifecycle from prototype to production to continuous improvement. Build self-learning loops so agents improve from outcomes, user corrections, and transcripts, and make that improvement measurable. Make evals a release gate. No agent ships without tests for quality, safety, latency, and cost. Data and the Context Graph Own the context graph that links loads, trips, carriers, drivers, customers, documents, and conversations, and the entity resolution that keeps it trustworthy. Partner on the data platform that feeds it, including event streams, CDC into Snowflake, data quality, and lineage, so agents and analytics share one source of truth. Capture decision traces (the inputs gathered, the rule applied, any exception, who approved it, and why) so precedent becomes searchable for agents and people, while rules stay explicit. Combine third-party, licensed, and proprietary data sources into intelligence customers can act on, with the provenance, licensing terms, and tenant boundaries of each source respected. Safety, Isolation, and Reliability Design agents that change data with scoped permissions, human approvals, and audit trails, and defend against prompt injection and tool misuse. Enforce tenant isolation and least privilege across every agent, tool, and data path. Own reliability and unit economics. Track cost per task, per call, and per tenant, and keep margins healthy as usage grows. Staying Hands-On Spend about a third of your time building: prototype, write evals, read traces, and debug production. Review your team's designs and code with real depth, and stay current on models and tools, separating what works in production from what demos well. Cross-Functional Partnership Work as a peer to product and design leadership on direction, architecture, sequencing, and delivery. Work directly with customers and our Forward Deployed Engineering team, and turn repeated patterns into platform features. The AI Fluency We Expect We measure AI fluency by how you verify, not by how much you use AI. More autonomy is not always better. You match the level of autonomy to the risk of the work, and you hold yourself and the team to the same five competencies. Delegation: You decide whether to use AI at all, which task to hand off, and how much autonomy it gets. Description: You state goals, requirements, and limits clearly, from a single prompt up to project instructions, specs, and policy. Discernment: You check output against evidence: diffs, acceptance checks, evals, and production monitoring. Diligence: You own the effects, including data access, permissions, memory isolation, budgets, and kill switches. Systems: You know how models, context, tools, harnesses, and memory work, and where each one fails. How You Work With Agents Design multi-agent systems on paper before you build them. For each step, choose a rule, a small model, a frontier model, or a person, and measure cost per outcome, not cost per token. Start from code-orchestrated workflows and add model-led autonomy only where the task needs exploration. Keep agent-to-agent handoffs few, and give each agent a contract: inputs, allowed tools, and output schema. Put limits in code, not in prompts: hooks, sandboxed worktrees, and a stop condition, retry cap, and budget on every loop. Separate the agent that writes from the agent that checks, and give the checker fresh context. Work in an explore, plan, execute, verify, and compound rhythm, where every correction becomes a rule, skill, hook, or test. Move fluently across Claude Code, Codex, and Cursor, and choose an editor-first or agent-first surface based on who should hold the controls for the next step. Where You Take the Team Bring every engineer to running goal-based loops, where specs and checks are written first, never weakened to pass, and run by the agent itself. Move the team from steering every turn to designing the system that steers the agent: its context, its harness, and its loop. Build toward agents that run continuously in hosted sandboxes, each with its own least-privilege identity, a named owner, a budget, and a tested kill switch, with risk-scaled human review on financial actions, auth, settlements, and customer data. Close the improvement loop. Capture traces, run error analysis on real failures every week, encode the fixes, and gate every change to rules, memory, or evals behind evals and a human approver. Self-improving never means self-approving. Minimum Qualifications 8+ years building software, including 3+ years managing engineers. You've grown senior engineers and tech leads and remain a hands-on builder who can prototype, debug production, and review code credibly. Production LLM systems. You've shipped LLM-powered products to real users, not demos, and can explain what broke, what you measured, and what you changed. Agentic engineering in your own work. You build with coding agents every day and can show the multi-agent workflows, contracts, hooks, and loops you put into production, and the checks that kept them honest. Depth in agent systems. You've built with tool use, function calling, MCP, orchestration, memory, and retrieval, and you understand where agents fail. Evaluation discipline. You've built eval systems that combine offline suites, online metrics, human review, and transcript analysis, and used them to gate releases. Strong data engineering judgment. You've worked with event streams, CDC, cloud warehouses, dbt, and data quality, and you know how the shape of the data limits what models can do. Distributed systems in production. You've designed and operated production services with real reliability requirements. Multi-tenant security. You've secured multi-tenant SaaS and isolated customer data, and you treat agent permissions as a security boundary. Language fluency. You write Python or TypeScript fluently and are comfortable reading C#, F#, and .NET. Experience with F# or another functional language is a plus. Startup-stage fit. You've operated at Series B/C velocity amid ambiguity, thin support, competing priorities, and a bias toward shipping and learning. Clear technical communication. You can explain a tradeoff to an engineer, a customer, and an executive. Preferred Qualifications Knowledge graphs, context graphs, entity resolution, or GraphRAG in production. Real-time voice agents, including telephony, speech-to-text, text-to-speech, turn-taking, and latency budgets. Fine-tuning, reinforcement learning from feedback, or prompt optimization against eval sets. Embedded automation or workflow platforms such as Activepieces, n8n, or Temporal. SRE experience, or a record of running systems other teams depend on. Logistics or freight experience, or another vertical where data is deeply entangled with operations. Founder or early-stage engineering leadership experience. A history of hiring, growing, and retaining excellent engineers. Built by people who've moved freight. Come build the intelligence layer with us. Learn more at alvys.com

Location: London, England, United Kingdom Workplace: hybrid We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team. Responsibilities MLRO Deputisation and Governance Act as alternate nominated officer, deciding on SARs and DAML requests when the MLRO is unavailable, under documented delegated authority. Attend the Audit, Risk and Compliance Committee and the Group Financial Crime Committee in the MLRO's absence. Maintain a complete, contemporaneous audit trail of all decisions taken under deputised authority, distinct from decisions taken by the MLRO. Maintain deputisation readiness: current knowledge of the MLRO's live case load, open regulator correspondence and outstanding remediation, so cover can be provided at short notice. Suspicious Activity Reporting and Sanctions Oversee escalations from transaction monitoring and name screening (PEP, sanctions, adverse media), setting investigation quality and disposition standards. Oversee sanctions screening escalations and prepare OFSI reports for MLRO sign off. Financial Crime Framework Maintain the Business Wide Risk Assessment (BWRA), proliferation financing risk assessment, AML, CTF and CPF policies and the customer risk assessment methodology, and propose changes to the MLRO for approval. Escalate material gaps or emerging typologies to the MLRO. Lead root cause analysis on control failures or thematic issues and track remediation actions to closure. Regulatory Reporting and Regulator Engagement Prepare financial crime MI for senior management and governance committees, and draft sections of the annual MLRO Report. Support responses to FCA information requests and assist with skilled person reviews (s.166 FSMA 2000) or supervisory visits as directed by the MLRO. Track the AML control framework against FCA Handbook updates, JMLSG guidance revisions and OFSI and HMT sanctions notices. Team Leadership and Succession Line manage members of the UK Financial Crime team, setting quality standards, coaching and development plans. Act as the escalation point for complex or ambiguous cases referred by Level 1 and Level 2 analysts and more junior members of the UK Financial Crime team. Build the knowledge and judgement needed to step up to SMF1 Requirements Deep working knowledge of UK AML and CTF regulation: MLR 2017, POCA 2002, TA 2000, FCA SYSC 6.3 and JMLSG Guidance. Sound judgement under pressure. Comfortable taking disposition decisions on live SARs without the MLRO present. Strong report writing and Board level communication skills. People leadership experience, or clearly demonstrated readiness to lead a team. Ability to manage regulator facing deliverables to deadline. 5+ years in AML and financial crime compliance within a regulated firm (CFD or brokerage, banking, payments or crypto), or equivalent regulatory exposure, including direct SAR investigation and disposition experience. Prior deputy or MLRO experience is preferred but not required. Experience preparing MI for Boards or Risk Committees. Familiarity with CFDs, spread betting and margin trading behaviours. Awareness of how FCA Consumer Duty intersects with financial crime risk (for example, vulnerable customer considerations in AML decisioning). Nice to Have ICA Diploma or Advanced Certificate in AML, ACAMS or equivalent. Direct exposure to FCA supervisory engagement Existing line management experience. What you will get in return: • Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated. • Work-Life Harmony: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid • Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry. • Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team. • Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks! • Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits! • Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community. Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry.

Location: United States, San Diego, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Manager, Data Science, Payments & Subscriptions San Diego, CA remote considered* (flex mode) About the Team The Direct to Consumer (D2C) Data Science organization brings together Data Science, Data Engineering, and ML Engineering to support PlayStation’s digital business across commerce, subscriptions, payments, lifecycle experiences, and player-facing services. We partner closely with product, engineering, finance, marketing, and operations teams to turn experimentation, forecasting, modeling, and trustworthy measurement into better decisions and better player experiences. About the Role We are looking for a Data Science Manager to lead a focused team improving how players pay, subscribe, and recover from payment failures. You will own the team’s scientific roadmap, develop data scientists, and partner with product, engineering, finance, marketing, and operations to turn ambiguous business questions into clear recommendations supported by trustworthy evidence. This is a technically engaged first-line management role. You will review experiment designs, metrics, models, analytical code, and recommendations; help the team reason through uncertainty and business tradeoffs; and contribute directly to selected complex problems. Success means building a team that can independently deliver rigorous work, guide decisions, and improve payment and subscription outcomes. The initial portfolio includes payment method performance, payment acceptance, routing and retry strategies, subscription recovery, and measurement of experiments and lifecycle interventions. You will help partners understand incremental value, customer friction, processing and operational costs, and risk guardrails. Over time, the scope may expand across adjacent D2C business areas as team priorities evolve. What you'll be doing: Lead, hire, onboard, and develop a team of data scientists supporting a defined commerce, payments, subscriptions, and lifecycle portfolio. Own the team’s roadmap, intake, prioritization, capacity planning, and stakeholder alignment. Make ownership and tradeoffs clear so the team can deliver on its most important commitments. Partner with business and technical leaders to define the decisions to be made, hypotheses, success metrics, measurement plans, and recommendations for action. Guide experimentation, causal inference, forecasting, and modeling work that improves payment and subscription decisions. Evaluate business value alongside customer experience, costs, and risk guardrails. Review experiment designs, analytical code, data quality, metric definitions, model assumptions, uncertainty, and recommendations. Contribute directly to selected high-priority or technically complex problems. Coach data scientists to strengthen scientific judgment, stakeholder influence, and communication. Build independent ownership through delegation, constructive review, and clear expectations. Set practical standards for reproducible analysis, documentation, reusable workflows, and communication of results. Partner with Data Engineering and ML Engineering to address data and implementation dependencies. Communicate recommendations, expected impact, confidence, limitations, and next actions so partners can make informed decisions and evaluate outcomes. What we're looking for: 6+ years of industry experience in data science, applied statistics, machine learning, or a related quantitative field, including work in experimentation, causal inference, measurement, or model development. 2+ years of people management experience, or equivalent experience in formal technical leadership with a strong track record of mentoring, coaching, and driving outcomes through other data scientists or machine learning practitioners. Strong background in experimentation, causal inference, metric design, and decision science for digital products or consumer businesses. Deep fluency with SQL and Python, with the technical depth to review analytical code, challenge assumptions, guide experiment and model design, and contribute directly to complex analyses. Proven ability to prioritize cross-functional work and communicate clear recommendations, confidence levels, tradeoffs, and next actions. Bachelor's degree or equivalent Preferred Qualifications Experience in digital commerce, payments, subscriptions, billing, lifecycle, gaming, media, or scaled consumer technology businesses. Experience with experimentation platforms, trusted metric frameworks, or reusable data science tooling that improves consistency and decision quality. Experience managing senior individual contributors or helping data scientists expand scope, influence, and technical leadership. Familiarity with payment optimization, subscription lifecycle analytics, subscription recovery, payment method selection, pricing or offer measurement, forecasting, or customer retention modeling. Experience evaluating and improving AI-assisted analytical workflows, including validating outputs and preserving reproducibility and appropriate data handling. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $186,200 — $279,200 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: GB - United Kingdom Scopely is looking for a Senior Quality Engineer to join the MONOPOLY GO! team. The role can be based remotely in the UK, or in Barcelona or Seville on a hybrid basis, with three days a week in the office. MONOPOLY GO! is a global phenomenon and the biggest mobile game launch in history, captivating millions of players worldwide. At Scopely, we care deeply about what we do and want to inspire play every day—whether in our work environments alongside our talented colleagues or through our deep connections with our communities. We are a global team of game lovers developing, publishing, and innovating across the games industry, connecting millions of players around the world every day. The MONOPOLY GO! Tech Vertical develops the platforms, services, and engineering capabilities that support a reliable, responsive mobile gaming experience.We are building a Quality Engineering organization that embeds quality throughout development through automation, continuous validation, and shared engineering ownership. The Role We are looking for a Senior Quality Engineer who enjoys writing code, solving complex problems, and building tools that help teams deliver with confidence. Reporting to the Quality Director of Tech, you will help establish our QE capabilities through hands-on development of automation frameworks, test infrastructure, and quality insights across mobile, Unity, APIs, integrations, performance, and CI/CD. You will help build our Quality Engineering capabilities incrementally, prioritizing the areas of greatest risk and value with the team. We are building these capabilities while supporting an active live-service game. You will take ownership of immediate testing needs, including manual, exploratory, and release validation, while developing sustainable automation and tooling. A willingness to test directly is essential. You will use what you learn to guide automation priorities, while recognizing the continuing value of exploratory testing, and develop practical AI capabilities that improve engineering effectiveness. What You Will Do Build reusable engineering solutions. Write, review, debug, and maintain automation frameworks, tools, and test infrastructure that other engineers can adopt and extend. Improve testability from the start. Participate in technical design and code reviews to identify risks early and improve test hooks, service interfaces, and diagnostic capabilities. Balance building with hands-on testing. Perform manual, exploratory, and release testing where automation is not yet available or direct investigation provides greater value. Meet current delivery needs while building sustainable solutions. Develop mobile and Unity automation. Automate Android, iOS, and Unity workflows, accounting for device differences, application lifecycle events, network conditions, and client performance. Strengthen API and integration testing. Validate backend services, service contracts, client-server interactions, data integrity, and failure recovery through reliable automated tests. Validate player-state consistency and recovery. Test interrupted sessions, reconnects, retries, and client-server synchronization to help protect player progress and data integrity. Investigate failures across systems. Use logs, metrics, traces, crash reports, and telemetry to investigate client, backend, and integration failures, support root-cause analysis, and turn findings into regression coverage. Validate mobile and backend performance. Profile frame rate, memory usage, application startup, crashes, and responsiveness. Develop backend load, stress, and endurance tests, establish meaningful baselines, and investigate bottlenecks and regressions with engineers. Apply risk-based testing. Prioritize validation by player impact, technical complexity, change scope, and failure history. Combine service-level tests, targeted end-to-end automation, and exploratory testing. Integrate validation into CI/CD. Deliver reliable automated feedback, useful diagnostics, and maintainable quality checks. Improve test stability and execution time, with clear ownership of failures. Improve test data and environments. Build utilities, fixtures, and repeatable setup processes that make testing dependable and defects easier to reproduce. Develop AI-assisted quality workflows. Build and evaluate solutions for test generation, failure triage, regression selection, and coverage analysis, with human review and measurable outcomes. Strengthen telemetry validation and quality visibility. Partner with engineering and analytics to validate telemetry accuracy, completeness, duplicates, schema changes, and data freshness. Query large datasets to investigate issues and build quality dashboards that inform risk assessment and release decisions. Help establish the QE organization. Contribute standards, documentation, reusable patterns, and mentoring. Partner with developers, Quality Analysts, and technical leaders to strengthen shared ownership of quality. What We're Looking For Demonstrated quality engineering, software development in test, or software engineering experience, including hands-on ownership of automation used by other engineers. Strong programming skills in C# or Python, with the ability to work effectively in Unity and automation codebases. Experience in source control, code reviews, debugging, and maintainable software design. Practical experience testing and automating Android and iOS applications, including device coverage, operating system differences, and unreliable network conditions. Experience developing API and integration tests, diagnosing failures across services and data flows, and integrating reliable automated tests into CI/CD. Working knowledge of performance, risk-based, and exploratory testing, with sound judgment about what to automate and when to investigate directly. Working knowledge of SQL and practical experience with telemetry and big data, including querying large datasets, validating events and data pipelines, and using findings to guide testing and release decisions. Experience with AI-assisted engineering tools and the ability to evaluate the accuracy and usefulness of their outputs. Strong ownership and collaborative problem-solving, with the ability to turn ambiguous needs into practical solutions. A passion for quality, mobile games, AI, and technology. Advanced professional proficiency in spoken and written English, sufficient to participate independently in technical discussions, explain engineering decisions, and write clear documentation with global teams. Additional experience we value Hands-on experience with Unity, C#, Unity Test Framework, or automated testing of Unity-based mobile games. Experience with live-service games, player-state consistency, reconnect behavior, live configuration, or client-server synchronization. Experience with mobile device farms, observability, quality dashboards, or establishing QE capabilities within a growing team. What success looks like Teams receive faster, more trustworthy feedback and clearer visibility into release risk. Immediate testing needs are met while dependable automation grows around critical player journeys and integrations. Performance regressions surface earlier, failures are easier to diagnose, and repetitive effort decreases. Your tools are maintained, documented, and adopted by other engineers, and AI capabilities demonstrate measurable value. About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Location: Ukraine; Spain; Slovakia; Serbia; Yerevan; Slovenia; Poland Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDE and an FDX,  Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs. Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution. Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails.  You'll have real ownership of components and of the technical decisions inside them. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket Excellent communication and problem-solving skills Comfort with ambiguity and ownership. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth 5+ years in software or ML engineering, with production systems you were accountable for. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes. Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks. Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production. Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive. Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus. Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release. Model and agent monitoring, drift detection. Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs. Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus. MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications A2A: you can explain agent-to-agent interoperability CI/CD pipeline experience (GitHub Actions, GitLab CI) Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа Responsibilities: Work in a pair with an FDE and an FDX. Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Build and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Integrate AI components into backend services and RESTful APIs Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints Participate in technical discussions and architectural decisions Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops. What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Location: North Macedonia; Bosnia and Herzegovina; Czechia; Croatia; Moldova; Bulgaria; Montenegro Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDE and an FDX,  Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs. Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution. Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails.  You'll have real ownership of components and of the technical decisions inside them. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket Excellent communication and problem-solving skills Comfort with ambiguity and ownership. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth 5+ years in software or ML engineering, with production systems you were accountable for. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes. Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks. Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production. Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive. Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus. Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release. Model and agent monitoring, drift detection. Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs. Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus. MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications A2A: you can explain agent-to-agent interoperability CI/CD pipeline experience (GitHub Actions, GitLab CI) Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа Responsibilities: Work in a pair with an FDE and an FDX. Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Build and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Integrate AI components into backend services and RESTful APIs Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints Participate in technical discussions and architectural decisions Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops. What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Location: Ukraine; Serbia; Yerevan; Spain; Slovakia; Slovenia; Poland Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDX; our delivery arc is Sprint → Enable → Realize: Forward Deployed Executive (FDX) owns the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs — revenue growth, cost reduction, risk reduction. Forward Deployed Engineer (FDE) embeds with a client to change how that client operates. You own the method; nobody hands you a ticket. You map the client workflow as it actually happens, identify the business problem underneath it, build a working AI solution, present to the client in the language of outcomes, and transfer it. Provectus maintains industry Blueprints — working systems that have already shipped for a client in the same industry — so you begin from running code and tuning it to this client's specific book, regulators, and operating posture. You will be measured on whether the Business Unit's number moved, not on hours or scope delivered. What You’ll Do: Take the seat Sit with the client and the Forward Deployed Executive at the start of an engagement. Learn the function from inside, not from a requirements doc, and redesign the function from first principles. Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow. Build Design and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Implement and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Define what working means, instrument it, and let the evals drive the design. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD, automated testing, monitoring, and maintainable after we leave. Hand the system over to the client. Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from. Lead architecture reviews, produce technical design documents, and contribute to standards. Mentor engineers and share knowledge across the team. Own the outcome. Work in a pair with a FDX who carries the Business Unit’s KPIs. Your work is measured against the same number. Own the technical direction of technical proposals and scoping. Drive adoption. Change management is part of the engineering job here. Be credible with the customer’s engineers and their executives. Shape what we commit to before we commit to it. What You’ll Bring: Mindset Proactive and self-directed; identify problems before they're handed to you Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job B2+ English, comfortable collaborating across distributed, multicultural teams Client Engagement You are willing to spend time understanding and doing someone else’s job on the client's side before you write a line of code Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO, presenting outcomes to them You can produce a scoped, phased delivery plan with clear deliverables, dependencies, and risks — and estimate what it will cost to build and to run Technical depth 7+ years building and running production systems. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes Designed and shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Experience in making and defending architectural trade-off decisions Hands-on AWS production depth: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release Model and agent monitoring, drift detection Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus Nice to have: Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution Experience in one of the industries: financial services, insurance, healthcare Consulting, professional services, or other embedded customer-facing delivery A2A: you can explain agent-to-agent interoperability AWS and Claude Code Certifications CI/CD pipeline experience (GitHub Actions, GitLab CI) Experience in an additional language (Go, TypeScript, or Rust) Experience with Apache Spark, Apache Airflow, Kafkа What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Location: North Macedonia; Montenegro; Moldova; Bulgaria; Czechia; Bosnia and Herzegovina; Croatia Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner , working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDX; our delivery arc is Sprint → Enable → Realize: Forward Deployed Executive (FDX) owns the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs — revenue growth, cost reduction, risk reduction. Forward Deployed Engineer (FDE) embeds with a client to change how that client operates. You own the method; nobody hands you a ticket. You map the client workflow as it actually happens, identify the business problem underneath it, build a working AI solution, present to the client in the language of outcomes, and transfer it. Provectus maintains industry Blueprints — working systems that have already shipped for a client in the same industry — so you begin from running code and tuning it to this client's specific book, regulators, and operating posture. You will be measured on whether the Business Unit's number moved, not on hours or scope delivered. What You’ll Do: Take the seat Sit with the client and the Forward Deployed Executive at the start of an engagement. Learn the function from inside, not from a requirements doc, and redesign the function from first principles. Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow. Build Design and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Implement and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Define what working means, instrument it, and let the evals drive the design. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD, automated testing, monitoring, and maintainable after we leave. Hand the system over to the client. Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from. Lead architecture reviews, produce technical design documents, and contribute to standards. Mentor engineers and share knowledge across the team. Own the outcome. Work in a pair with a FDX who carries the Business Unit’s KPIs. Your work is measured against the same number. Own the technical direction of technical proposals and scoping. Drive adoption. Change management is part of the engineering job here. Be credible with the customer’s engineers and their executives. Shape what we commit to before we commit to it. What You’ll Bring: Mindset Proactive and self-directed; identify problems before they're handed to you Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job B2+ English, comfortable collaborating across distributed, multicultural teams Client Engagement You are willing to spend time understanding and doing someone else’s job on the client's side before you write a line of code Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO, presenting outcomes to them You can produce a scoped, phased delivery plan with clear deliverables, dependencies, and risks — and estimate what it will cost to build and to run Technical depth 7+ years building and running production systems. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes Designed and shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Experience in making and defending architectural trade-off decisions Hands-on AWS production depth: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release Model and agent monitoring, drift detection Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus Nice to have: Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution Experience in one of the industries: financial services, insurance, healthcare Consulting, professional services, or other embedded customer-facing delivery A2A: you can explain agent-to-agent interoperability AWS and Claude Code Certifications CI/CD pipeline experience (GitHub Actions, GitLab CI) Experience in an additional language (Go, TypeScript, or Rust) Experience with Apache Spark, Apache Airflow, Kafkа What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Location: London Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. At Checkout.com http://Checkout.com, we create marketing that moves people to choose our products, builds a brand where great marketers want to work, and fuels the growth of our business. We’re looking for a GTM Engineer to join Marketing and help transform how we work internally. You’ll design and build AI-assisted workflows, agents and integrations that reduce manual effort, improve how information moves across the team and give marketers more time to focus on high-value work. Marketing Operations Team owns our marketing technology and tools, and the automation that supports go-to-market execution across our channels. This role works alongside Marketing Operations, with a different starting focus: improving the internal processes, workflows and systems that help Marketing plan and deliver its work. The aim is to 10x our impact. This is a hands-on technical role in a marketing team. You’ll spend around 70% of your time building: understanding how work gets done, finding where it is manual or breaking down, and shipping practical solutions. You’ll partner closely with Marketing Operations to make sure what you build fits our existing tools and standards. You’ll work across Marketing, in close partnerships across Marketing Operations, Commercial AI Transformation and the AI Centre of Excellence. You’ll bring a clear technical point of view on what is scalable and reliable, while making sure the systems you build are useful to the people who need them. HOW YOU’LL MAKE AN IMPACT FIND THE PROBLEMS WORTH SOLVING Work with teams across Marketing to understand their processes and the work behind their requests. Map workflows, identify manual effort, duplicated work, missing context and avoidable errors, then prioritise opportunities based on their potential value. You’ll use your creativity and judgement rather than simply build to a ticket. BUILD AI-ASSISTED WORKFLOWS AND INTEGRATIONS Create and ship agents, automations, skills and integrations that make internal marketing work easier. You might use Claude Enterprise, Copilot Studio, Clay, MCP connectors, coding agents or other tools across our marketing stack. Work with Marketing Operations when a solution involves our marketing technology or channel tools. MAKE INTERNAL MARKETING WORK MORE EFFICIENT Build workflows that help teams do the work behind marketing more efficiently, from briefing, research and insight gathering to planning, content development and hand-offs. Connect information and tools so people spend less time on repetitive coordination and more time on work that needs their expertise. Partner with Marketing Operations where workflows touch marketing technology or channel execution. BUILD SYSTEMS PEOPLE CAN RELY ON Design beyond the individual task. Consider the data, context, tools, users, hand-offs, controls and feedback loops a workflow needs to work well. Identify where information is missing, where an agent needs better direction or where teams need support to use and improve the system. HELP MARKETERS BUILD WITH AI Work alongside marketers to show what is possible and help them use AI with confidence. Create reusable patterns, skills, playbooks and guardrails so teams can solve more problems themselves and repeat good practice. TEST, LEARN AND IMPROVE Prototype and test workflows, learn from how people use them, and improve or retire them based on the results. Identify design, security, privacy, brand and scale risks early, and follow our AI governance and review processes. KEEP UP WITH THE TOOLS Stay curious about new models, coding tools, connectors and agent patterns. Be able to explain which tools are right for a particular job and why, whether you’re comparing Claude, ChatGPT, coding agents or emerging platforms. WHAT WE’RE LOOKING FOR YOU BUILD THINGS You’ve made working automations, prototypes, integrations, agents, internal tools or products, and enjoy taking a messy problem through to something people can use. Your job title matters less than what you’ve built and the value it creates. YOU USE AI HANDS-ON You use LLMs to get work done, not just to talk about what they could do. You’re comfortable prototyping with AI coding tools, testing different approaches, debugging and improving the result. You can show us something you’ve built with Claude, Codex, ChatGPT or another LLM platform, at work or in your own time. YOU HAVE SOUND TECHNICAL JUDGEMENT You can reason about systems, APIs, data flows, permissions and failure modes. You understand the difference between a promising demo and a dependable workflow. You don’t need a traditional software engineering background, but you do need to be comfortable working directly with technical tools and making sensible implementation choices. YOU UNDERSTAND MARKETING AND GTM You understand how demand generation, growth, customer marketing, marketing operations, sales and revenue processes connect. You’re familiar with concepts such as campaign briefs, segmentation, ABM, lead scoring, MQLs, MQAs, pipeline, attribution and lifecycle stages. You’re interested in the business outcomes behind the work. YOU’VE WORKED ACROSS MARKETING OR REVOPS TOOLS You’ve built or supported workflows across platforms such as Salesforce, HubSpot, Asana, Clay or similar tools. You can think across a stack rather than optimise one tool in isolation, and you’re comfortable with connectors, APIs, webhooks or MCP-style integrations. YOU KNOW HOW TO DESIGN USEFUL WORKFLOWS AND AGENTS You can give a workflow the context it needs, choose the right tools, define hand-offs, involve people at the right points and make outputs easy to review. You understand that an agent’s performance depends on its data and operating environment as well as the model. YOU PRIORITISE FOR VALUE You can judge which problems are worth solving, which should remain manual and where a simpler answer will work better. You balance speed, quality, risk, maintainability and commercial impact, and can make a clear case for what to build next. YOU MEASURE AND IMPROVE YOUR WORK You’re comfortable defining success measures, tracking usage and output, and deciding what to improve, stop or scale. You care about measurable gains in productivity, quality, speed or business impact. YOU THINK IN SYSTEMS You look for the process behind the immediate pain point. When a spreadsheet is difficult to use, for example, you’re curious about the data, decisions and hand-offs that created it, and what would make the process work better. You can hold the bigger picture while working through the details needed to ship. YOU COMMUNICATE CLEARLY AND BRING PEOPLE WITH YOU You can explain technical ideas to marketers, commercial leaders, Product, Engineering, Security, IT and Operations in a way that helps them make decisions. You listen well, communicate simply and influence through your work and judgement. YOU’RE CURIOUS AND SELF-STARTING You’re comfortable with ambiguity and motivated to learn. You’ve taught yourself new tools, built something outside your formal remit or pursued a technical interest in your own time. A personal project, prototype, automation, community contribution or other example could show us how you learn. YOU USE AI RESPONSIBLY You understand that marketing systems need to be accurate, secure, explainable and aligned with our brand and company standards. You know when people need to review an output, when data should not be used and when an experiment is not ready to scale. You might come from marketing technology, marketing operations, growth engineering, RevOps, automation engineering, product, full-stack engineering or another technical role close to commercial teams. What matters most is your curiosity about marketing, your judgement about what is worth improving and your ability to build practical solutions. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Warsaw, Poland; Yerevan, Armenia You’re the kind of person who looks at a complex, deeply interconnected system and immediately wants to know how it functions and what would make it break. Focused on finding more than just bugs, you want to untangle dependencies and raise the bar for quality across the board. You're comfortable stepping up to take ownership and lead the charge when things get complicated. About JetBrains We create intelligent software development tools for developers and teams. More than 15 million users, over 300,000 companies, and 88 of the Fortune Global Top 100 rely on our products to solve real, complex problems. Our mission is simple: make development teams more productive and AI adoptable at scale. What you’ll do DataGrip is our cross-platform IDE for databases, and its core functionality powers database tools across other JetBrains IDEs like IntelliJ IDEA, PyCharm, and PhpStorm. Because of the large size of this ecosystem, which spans many database systems, environments, and integrations, keeping our quality bar high is a complex, strategic challenge. You’ll take ownership of quality across these shared components and release processes. You’ll work closely with developers, DevOps, and product teams to map out expected behaviors, investigate hard-to-reproduce issues, and improve how we build and test. Your work will directly influence the reliability of tools used by millions of developers every day, making sure changes in one area don't unexpectedly break another. Day to day, you will: Lead QA activities, set priorities, and coordinate testing efforts across multiple teams and components. Investigate unclear, poorly reproducible, and cross-component issues to find the root cause. Analyze logs, test results, and user reports to spot broader quality patterns behind individual failures. Define test strategies and apply risk-based testing to manage release cycles safely. Work with developers and product teams to establish expected behavior when detailed specifications aren't available. Improve our QA processes and guide the team in making confident release decisions. What you’ll bring A high degree of independence and technical curiosity. Comfort taking ownership of complex problems and driving them to resolution. The ability to see the big picture and understand how changes in one area affect the rest of the system. A proactive approach to improving processes rather than just following them. Strong analytical thinking, with the ability to turn scattered logs and user reports into clear insights. The communication skills to bring different teams together and coordinate testing efforts smoothly. What you’ll need The proven ability to test complex, multi-component systems and navigate integration and end-to-end testing. Practical knowledge of relational databases and SQL. Experience leading QA activities and shaping test strategies for multiple products and release cycles. Familiarity with reading and debugging code (Java or Kotlin preferred) to troubleshoot deeply embedded issues. Hands-on experience writing or maintaining automated tests. The ability to navigate and troubleshoot CI/CD systems, test environments, and infrastructure (such as Docker, Kubernetes, or TeamCity). Experience investigating distributed systems, APIs, and service-to-service integrations using monitoring and logging tools. What success looks like Within your first few months, you’ll have a firm grasp of the DataGrip ecosystem and how its components interact across our IDEs. You’ll be independently identifying quality risks, setting clear testing priorities, and helping teams ship reliable releases without bottlenecks. Long-term, you’ll have established smoother QA workflows, making it easier for everyone to understand dependencies and catch cross-product issues before they reach our users. Why join JetBrains? Strong base salary. We offer competitive pay that reflects your skills and experience. Flexible work schedule. Enjoy the freedom to work from home or from the office. Extra time off. More days to relax, recharge, and do the things you love. Learning and development opportunities. Access to conferences, courses, and language classes. Relocation support. Assistance to help make your move as smooth and stress-free as possible. Free meals and snacks. Lunch and refreshments provided to keep you fueled. Health and wellness. On-site gyms or sports club stipends. Internal events. Company-wide celebrations and team gatherings. *Some benefits may vary depending on location. #LI-DNI We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Location: Berlin, Germany; München, Germany Workplace: Hybrid At Rohlik Group, we are building the future of e-grocery for over a million active customers across the Czech Republic, Germany, Austria, Hungary, and Romania. We own our entire technology stack — from storefronts and apps to automated fulfillment centers and last-mile logistics. Within the Customer Experience (CUEX) domain, we own every touchpoint a customer interacts with, from the homepage to checkout and real-time order tracking across web, iOS, and Android. Our five storefronts run on a single product spine with localized content, pricing, and brand layers. We operate as a deliberately tight-knit, high-performing team where a Product Owner, Engineering Manager, Tech Lead, two Product Designers, and a dedicated full-stack engineering team ship fast, iterate constantly, and take full ownership of the end-to-end user journey. Most interface failures in e-commerce aren’t layout issues — they are communication problems: what is said, in what order, and on which screen. As Senior Product Design Engineer, you will own the end-to-end design of all customer-facing surfaces across five markets. You will also manage our design system, Maia (our AI shopping assistant), and provide the design guidance that powers our automated coding workflows. WHY THIS ROLE IS EXCITING - High-impact Group scope: Design every customer-facing touchpoint across web, iOS, and Android for five international markets, impacting millions of orders. - True end-to-end ownership: Lead the complete lifecycle of product design — from initial problem definition and customer research to shipped A/B tests and real-world performance analysis. - AI-first execution: Rohlik is an AI-first company. You’ll own the interface design for Maia, our AI shopping assistant, and build the structured design system guidance used by AI coding agents to generate on-brand code without hand-coding interfaces. - Direct customer engagement: Lead user research and usability testing sessions directly with real shoppers, rather than commissioning external agencies or receiving filtered insights. - High accountability, low overhead: Work in a small, autonomous team where design decisions move straight to production and work that doesn't deliver measured impact is honestly reverted. WHAT YOU WILL OWN AND DELIVER - Customer Surfaces: Own the end-to-end design and UX strategy across web, iOS, and Android for all core journey stages: homepage, search & browse, product pages, basket, slot selection, checkout, and order tracking. - Design System as a Product: Own component architecture, design tokens, patterns, and documentation, ensuring our coding agents have precise design guidance to generate accurate interfaces. - AI Experience Design: Define the interaction patterns for Maia (our AI shopping assistant), governing when it intervenes, how it presents information, and how it hands over to human support. - Experimentation & Analysis: Drive hypotheses, prototype rapidly, and evaluate A/B test results objectively — scaling successful experiments and sunsetting features that miss target performance. - Direct User Research: Conduct qualitative interviews, usability tests, and field research directly with customers to continuously uncover friction points. - Cross-Functional Partnership: Collaborate closely with the Product Owner, Engineering Manager, Tech Lead, and your peer product designer, while providing design input to Commercial, Marketing, and Operations. WHAT WE ARE LOOKING FOR - 5+ years of experience designing consumer-facing digital products with a strong portfolio of shipped work across both web and native mobile (iOS and Android). - Advanced Figma & Design System expertise: Deep, hands-on experience building, scaling, and architecting multi-platform design systems at the token and component level. - Data-fluent mindset: Ability to read and rigorously interpret A/B testing data, distinguishing genuine impact from vanity metrics. - Fluency with AI tooling: Practical experience integrating AI tools into modern design, prototyping, and design system workflows, along with a clear view of where conversational AI adds real interface value. - User research expertise: Demonstrated experience designing, running, and analyzing qualitative usability sessions directly with end users. - Strong product reasoning: Excellent communication skills in English (C1 level or above), with the ability to articulate the strategic and behavioral rationale behind design decisions. Nice-to-haves: - Experience designing production-grade AI or assistant-driven interfaces. - Experience contributing directly to code at the component or token level. - Background in e-commerce, quick-commerce, online grocery, or last-mile delivery. - First-hand familiarity with how German customers shop. - Fluency in German or Czech. WHAT’S IN IT FOR YOU - Fair pay, transparent, stable compensation A strong fixed salary with clear rules. No bonus politics. Great work is rewarded openly and fairly. - Good food options, fresh, every day Enjoy subsidised meals/fresh food options in the office and regular refreshments like drinks, fruit, and snacks that keep you energized. - Life beyond work, hybrid work & real flexibility Three days in the office and the rest where it works best for you. Take time off when you need it with paid vacation days above statutory and flexible scheduling. - Grow with Knuspr every day - we move fast, and so can you. Learn, experiment, and take ownership from day one. Every challenge is a chance to grow. - Recognition & community - Your impact is seen and appreciated. You can celebrate colleagues through Bonusly peer-recognition credits and feel supported by a team that works hard and wins together. - Health & wellbeing - Access to our UNIQA private insurance option and supportive wellbeing culture, keeping you healthy inside and outside of work. - Mobility & convenience - Company car available for selected management-level roles and fuel support for regular WH travel. - Premium membership - Free Knuspr Premium membership with exclusive benefits. - Referral rewards - Recommend great people and get rewarded through our group referral program. - Team spirit - We organize team events, celebrations, and moments to connect because work is better when we win together. #LI-ML1 #Knuspr

Location: Prague, Czech Republic; Group career pages Workplace: Hybrid At Rohlik Group, we are building the future of e-grocery for over a million active customers across the Czech Republic, Germany, Austria, Hungary, and Romania. We own our entire technology stack — from storefronts and apps to automated fulfillment centers and last-mile logistics. Within the Customer Experience (CUEX) domain, we own every touchpoint a customer interacts with, from the homepage to checkout and real-time order tracking across web, iOS, and Android. Our five storefronts run on a single product spine with localized content, pricing, and brand layers. We operate as a deliberately tight-knit, high-performing team where a Product Owner, Engineering Manager, Tech Lead, two Product Designers, and a dedicated full-stack engineering team ship fast, iterate constantly, and take full ownership of the end-to-end user journey. Most interface failures in e-commerce aren’t layout issues — they are communication problems: what is said, in what order, and on which screen. As Senior Product Design Engineer, you will own the end-to-end design of all customer-facing surfaces across five markets. You will also manage our design system, Maia (our AI shopping assistant), and provide the design guidance that powers our automated coding workflows. WHY THIS ROLE IS EXCITING - High-impact Group scope: Design every customer-facing touchpoint across web, iOS, and Android for five international markets, impacting millions of orders. - True end-to-end ownership: Lead the complete lifecycle of product design — from initial problem definition and customer research to shipped A/B tests and real-world performance analysis. - AI-first execution: Rohlik is an AI-first company. You’ll own the interface design for Maia, our AI shopping assistant, and build the structured design system guidance used by AI coding agents to generate on-brand code without hand-coding interfaces. - Direct customer engagement: Lead user research and usability testing sessions directly with real shoppers, rather than commissioning external agencies or receiving filtered insights. - High accountability, low overhead: Work in a small, autonomous team where design decisions move straight to production and work that doesn't deliver measured impact is honestly reverted. WHAT YOU WILL OWN AND DELIVER - Customer Surfaces: Own the end-to-end design and UX strategy across web, iOS, and Android for all core journey stages: homepage, search & browse, product pages, basket, slot selection, checkout, and order tracking. - Design System as a Product: Own component architecture, design tokens, patterns, and documentation, ensuring our coding agents have precise design guidance to generate accurate interfaces. - AI Experience Design: Define the interaction patterns for Maia (our AI shopping assistant), governing when it intervenes, how it presents information, and how it hands over to human support. - Experimentation & Analysis: Drive hypotheses, prototype rapidly, and evaluate A/B test results objectively — scaling successful experiments and sunsetting features that miss target performance. - Direct User Research: Conduct qualitative interviews, usability tests, and field research directly with customers to continuously uncover friction points. - Cross-Functional Partnership: Collaborate closely with the Product Owner, Engineering Manager, Tech Lead, and your peer product designer, while providing design input to Commercial, Marketing, and Operations. WHAT WE ARE LOOKING FOR - 5+ years of experience designing consumer-facing digital products with a strong portfolio of shipped work across both web and native mobile (iOS and Android). - Advanced Figma & Design System expertise: Deep, hands-on experience building, scaling, and architecting multi-platform design systems at the token and component level. - Data-fluent mindset: Ability to read and rigorously interpret A/B testing data, distinguishing genuine impact from vanity metrics. - Fluency with AI tooling: Practical experience integrating AI tools into modern design, prototyping, and design system workflows, along with a clear view of where conversational AI adds real interface value. - User research expertise: Demonstrated experience designing, running, and analyzing qualitative usability sessions directly with end users. - Strong product reasoning: Excellent communication skills in English (C1 level or above), with the ability to articulate the strategic and behavioral rationale behind design decisions. Nice-to-haves: - Experience designing production-grade AI or assistant-driven interfaces. - Experience contributing directly to code at the component or token level. - Background in e-commerce, quick-commerce, online grocery, or last-mile delivery. - First-hand familiarity with how German customers shop. - Fluency in German or Czech. WHAT’S IN IT FOR YOU - Fair reward - You’ll get a strong fixed salary, no bonus games, no politics. Great work is rewarded clearly and fairly. - Good food every day - You’ll enjoy a free lunch every day and fresh fruit & veggies in the office. Because good food fuels great work. - Life, not just work - You’ll have real flexibility three days in the office, 2 days at the Home Office where it suits you. And unlimited paid vacation based on trust. - Personal growth - You’ll grow as fast as Rohlik does. Every challenge is a chance to learn and make an impact. - Real impact - What you do here matters. You’ll see your work changing how people eat and live from day one. - Recognition among colleagues - Your effort won’t go unnoticed. You can recognise others (and be recognised) through peer credits to use in our internal cafeteria. - Xtra membership - You’ll get free Xtra membership and 10% cashback on everything you buy on Rohlik.cz http://Rohlik.cz. - Sport & wellbeing - You’ll stay active with company sports challenges or a subsidised Multisport card. - A team that sticks together - You’ll work with people who move fast, support each other and celebrate wins together. - If this sounds like you - You’re someone who takes ownership, acts fast and gets things done. Ready to bake something great with us? #LI-ML1

Location: Amsterdam, Netherlands About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. Role overview The Head of Financial Internal Controls will lead the financial business process internal controls function for Nebius Group, building a scalable, risk-based SOX program that supports reliable financial reporting and the continued growth of the business. Reporting to the Head of Internal Controls and Internal Audit, the role will set the strategy, lead execution, and provide senior management with clear insight into control effectiveness, emerging risks, and remediation priorities. The role will lead an internal team of controls professionals operating as risk partners, with a designated partner for every in-scope financial SOX process. The team will work closely with process and control owners, Finance, and the parallel IT Controls team to strengthen end-to-end controls and address business and technology dependencies. The Head will continue to build the team, its capabilities, and its operating model as the business expands. As a second-line leader, the Head will establish standards, advise and challenge management, and oversee monitoring and management testing. Business process and control owners retain accountability for designing, implementing, and operating their controls and executing remediation. Internal Audit retains its separate third-line assurance responsibilities, with appropriate safeguards for objectivity where reporting lines are shared. Key responsibilities Financial controls strategy and governance Define and execute the financial internal controls strategy, annual SOX roadmap, and multi-year improvement plan, aligned with financial reporting risks, business priorities, and growth. Lead financial process risk assessment and SOX scoping, including significant accounts, disclosures, entities, and relevant assertions; reassess coverage as the business, systems, and transaction volumes change. Set consistent standards for risk and control matrices, process documentation, control design, evidence, management review precision, and deficiency evaluation, aligned with the Group control framework. Risk partner leadership and team growth Lead, coach, and evaluate the risk partner team; assign clear process coverage, objectives , decision rights, and escalation responsibilities across all in-scope financial SOX processes. Develop the workforce plan and resource budget; recruit, onboard, and retain professionals with the skills needed for business growth, new entities, and increasingly complex processes. Build technical depth, succession coverage, and a consistent advisory approach; balance internal capacity and specialist support while maintaining ownership and quality within the team. Key responsibilities continued End-to-end SOX program delivery Direct the financial process SOX lifecycle, from scoping and walkthroughs through design and implementation assessment, operating effectiveness testing, remediation, and year-end roll-forward procedures. Establish the annual calendar, milestones, quality reviews, and reporting cadence; coordinate with IT Controls, management testing resources, and external auditors to support timely completion before annual reporting. Oversee management testing plans and workpaper quality, including population completeness, sample selection, evidence sufficiency, and conclusions. Align deliverables with external auditor expectations while respecting the auditor’s independent judgments and reliance decisions. Hold risk partners accountable for proactive monitoring of control readiness and execution, identifying potential failures early, and coordinating timely corrective action with business owners. Control effectiveness and remediation Challenge control design and operating performance across in-scope processes, including procurement and payables, revenue and receivables, fixed assets and capital expenditure, inventory, payroll, treasury, tax, and financial close and reporting, as applicable. Lead second-line oversight of control deficiencies, including root cause analysis, severity assessment, aggregation, remediation planning, compensating controls, and escalation . Require remediation plans with accountable business owners, milestones, resources, and evidence requirements. Monitor progress and escalate overdue actions or solutions that do not address the underlying risk. Oversee validation and retesting of remediated controls, allowing sufficient operating history and evidence before recommending closure; provide transparent assessments of residual risk and readiness for year-end conclusions. Partnership with IT Controls and business stakeholders Work as a peer to the IT Controls lead to maintain integrated coverage of business controls, IT general controls, automated controls, interfaces, segregation of duties, and system-generated reports used in financial controls. Agree clear responsibilities and shared milestones with IT Controls; jointly assess the financial control implications of IT deficiencies and coordinate impact analysis, compensating controls, and remediation. Serve as a senior adviser to Finance and business leadership, translating financial reporting risks into practical control requirements and challenging decisions where exposures remain unresolved. Embed risk partners in process governance and change initiatives. Advise on controls for new products, entities, acquisitions, ERP implementations, and data conversions, with clear readiness criteria, risk escalation, and follow-up after go-live. Reporting and continuous improvement Provide concise reporting on coverage, testing results, control failures, remediation, resource needs, and emerging risks to the Head of Internal Controls and Internal Audit; contribute to executive and Audit Committee materials and management’s ICFR assessment and certification processes. Drive proportionate standardization, automation, and better use of data to improve control reliability and reduce unnecessary effort. Lead training for process owners and control owners to strengthen accountability and evidence quality. Qualifications and experience Required experience 12 or more years of relevant experience in financial internal controls, SOX, audit, or finance risk management, including at least five years leading teams or major controls programs in a complex international environment. Demonstrated experience leading an end-to-end financial SOX program for a listed or similarly complex business, including risk assessment, scoping, control design, management testing, deficiency evaluation, and year-end reporting. Proven ability to recruit, develop, and scale a team of internal controls professionals, establish effective process coverage, and manage competing priorities and resource constraints. Strong knowledge of COSO, ICFR, SOX requirements, and relevant financial reporting requirements under US GAAP and IFRS; ability to translate accounting and disclosure risks into effective controls. Track record of leading oversight of significant deficiency or material weakness remediation, including root cause analysis, sustainable corrective action, and evidence-based validation. Practical understanding of IT dependencies in financial processes, including ITGCs, automated controls, access and segregation of duties, interfaces, and the completeness and accuracy of information used in controls. Experience advising on finance transformation, ERP implementations, process redesign, and data migration in a fast-growing or changing business. Demonstrated ability to influence senior leaders, challenge constructively, and work effectively with business owners, IT Controls, Internal Audit, and external auditors. Bachelor’s or master’s degree in Accounting , Finance, Economics, Business, or a related discipline, or an equivalent professional qualification. Fluent written and spoken English. Preferred qualifications CPA, CA, ACCA, CIA, or an equivalent professional certification; a master’s degree is an advantage. Experience in a multinational technology or infrastructure business, with substantial capital expenditure and rapidly evolving financial processes. Experience with NetSuite, Oracle, or comparable ERP platforms and controls management tools. Leadership competencies Strategic judgment with the ability to translate risk priorities into practical execution and measurable improvements in control effectiveness. Strong people leadership, clear accountability, and the ability to build an engaged team of credible risk partners across locations and cultures. Professional skepticism, sound judgment, and the confidence to escalate material issues promptly while maintaining productive stakeholder relationships. Clear executive communication and disciplined delivery in a dynamic environment, with a pragmatic approach to balancing control rigor and business needs. Measures of success Complete, risk-based process coverage and timely , high-quality SOX deliverables that support management’s annual ICFR assessment and reporting deadlines. Controls that demonstrate effective operation in testing, supported by early detection of potential failures, timely remediation, and fewer recurring deficiencies. Sustainable remediation validated with sufficient evidence, integrated resolution of business and IT control dependencies, and timely escalation of residual risks. A capable, scalable risk partner team with clear process accountability, strong stakeholder relationships, and capacity aligned with business growth. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Poland; Bulgaria; Romania Workplace: Remote About Patrianna Patrianna is a fast-scaling product development company headquartered in Gibraltar, with a dynamic, global team powering our growth. We operate at the intersection of technology and entertainment, building innovative solutions that shape the future of social gaming and deliver outstanding experiences to millions of players worldwide. We're driven by speed, ambition, and bold ideas. At our core, we're product creators and problem-solvers who thrive in a high-performance environment. We're looking for exceptional talent—smart, adaptable, and motivated individuals eager to make an impact, scale business functions at pace, and continuously improve. Whether you're a domain expert or an agile thinker who thrives in change, at Patrianna you'll have the freedom to innovate, take ownership, and help us lead the next wave of gaming innovation. Join us—and be part of something extraordinary. The Role You'll own the access, identity and integration work that connects our AI platform to the business, so every connection is secure, approved and working. What You Will Be Doing - You'll turn loose requests into precise requirements for APIs, accounts, authentication, scopes and permissions. - You'll coordinate IAM, SSO, service accounts and OAuth apps so access matches exactly what's been approved. - You'll work with each company's IT teams and system owners to secure approvals and clear blockers quickly. - You'll configure the AI platform side, coordinate connector builds with engineering, and test workflows before handover. - You'll keep access records current and manage credential rotation and revocation. - You'll use AI to automate the admin, because nobody should do the same task manually twice. What We Are Looking For - Strong knowledge of enterprise IT, IAM, service accounts, OAuth and API permissions - A proven track record of delivering integrations across multiple teams - Hands-on experience diagnosing and fixing access and authentication failures - Excellent coordination, documentation and follow-through. When you say it's done, it's done. - A security-first mindset, with least privilege, clean audit trails and no shortcuts - Bonus points for Okta or OneLogin, Google Workspace, GCP IAM, SAML/OIDC, MCP or enterprise SaaS integrations Why You Will Love It We love building cool stuff, and we want to work with the best. You'll get real ownership, high standards and zero tolerance for egos. We value progress over perfectionism, so you'll ship and iterate instead of polishing things forever. We work in the open: conversations happen in Slack channels, outcomes are documented in Monday.com http://Monday.com, and deadlines are agreed and kept. Calls are on Google Meet with cameras on, because we like feeling connected. We keep it direct, so we'll never use 1,000 words when 20 will do. If accountability, transparency and great results get you going, you'll fit right in. Equal Opportunities We hire based on skills, drive, and ideas — nothing else. Your background, gender, age, race, ethnicity, disability, sexual orientation, religion, neurodiversity, or educational path will never be a barrier to joining us. We also welcome candidates from non-traditional career journeys and value diverse perspectives that challenge conventional thinking. Diversity fuels our innovation, collaboration, and growth, and we're committed to creating an environment where everyone can contribute their best work and thrive.

Location: Remote - USA Workplace: Remote fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on. ABOUT THIS ROLE: Help fal's ML team move faster by building the automation, infrastructure, and developer tooling that makes developing, testing, and deploying generative AI models seamless. You'll own and improve the CI/CD systems supporting our rapidly growing collection of ML models and inference pipelines. Your focus will be on eliminating manual work, accelerating development cycles, and building reliable systems that allow ML engineers to ship new models and optimizations with confidence. This is a high-impact engineering role where you'll work closely with our Applied ML and ML Performance teams. You'll build everything from automated model validation and performance benchmarking to AI-powered development workflows that help engineers iterate faster. The ideal candidate thinks beyond traditional CI/CD and sees automation as a force multiplier for the entire engineering organization. What you’ll do: - Own ML CI/CD infrastructure Design, build, and maintain automated testing, validation, and deployment pipelines for our ML models and inference services. - Accelerate development cycles.Dramatically reduce CI execution times through intelligent parallelization, caching, test selection, and efficient use of compute resources. - Build automated model validation.Develop systems that test model outputs, detect quality regressions, and validate changes across different models, GPU architectures, and configurations. - Automate performance benchmarking. Build continuous performance testing that detects regressions in inference latency, throughput, GPU utilization, and cost. - Build automated pricing and deployment checks. Ensure model pricing, billing configurations, API schemas, and deployments are validated automatically before reaching production. - Extend our agentic engineering workflows. Develop AI-powered automation and agentic coding systems that automatically diagnose CI failures, identify regressions, propose fixes, and streamline engineering workflows. - Improve deployment reliability. Build automated safeguards, deployment verification, rollback mechanisms, and monitoring to ensure new model releases are reliable. - Eliminate engineering toil. Identify repetitive tasks across the ML team and build tools and systems that automate them, allowing engineers to focus on developing new models and improving performance. QUALIFICATIONS/NICE-TO-HAVES: - 5+ years of software engineering background with proficiency in Python and experience building production infrastructure and developer tooling. - Experience designing and operating CI/CD systems using GitHub Actions or comparable technologies. - Deep understanding of automated testing, build systems, dependency management, caching, and parallel execution. - Experience working with containerized workloads, Docker, and cloud infrastructure. - Ability to design reliable distributed systems and debug complex infrastructure failures. - Strong understanding of observability, including logs, metrics, tracing, and automated alerting. - A passion for developer productivity and a demonstrated ability to eliminate manual processes through automation. - Comfortable working independently, identifying high-impact problems, and building end-to-end solutions. - Experience with ML infrastructure, PyTorch, GPU workloads, or model-serving systems. - Familiarity with NVIDIA GPU architectures and multi-GPU environments. - Experience building automated inference benchmarks or ML quality evaluation frameworks. - Experience with agentic coding tools such as Codex or Claude Code, or building custom AI engineering agents. - Experience optimizing CI/CD pipelines at scale, including distributed test execution and ephemeral compute environments. - Experience developing internal developer platforms or infrastructure-as-code tooling. Tech Stack: - Python, PyTorch, Docker, GitHub Actions - NVIDIA GPUs and distributed GPU infrastructure - Model serving and inference pipelines - Observability and performance monitoring tools - AI coding agents and automated engineering workflows - Access to fal's massive GPU cluster for testing and development What we offer at fal: - Interesting and challenging work - A lot of learning and growth opportunities - Health, dental, and vision insurance (US) - Regular team events and offsites U.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION: fal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.