Вакансии

Location: Limassol; Nicosia; Athens; Thessaloniki; Fully Remote - in other eligible locations Workplace: hybrid The Role:  We're seeking a Senior AI QA Test Automation Engineer to take a leading technical role in AI quality and test automation. You will work primarily with our AWS Bedrock AgentCore-based CX Agent Suite, a multi-agent customer-support system covering intent routing, FAQs, deposit-status queries, and human handoff. You will design and build the evaluation and QA tooling required to validate AI agents reliably, while also contributing to technical standards and best practices across QA.  This is a Senior Individual Contributor (IC) role with a strong technical and strategic focus. You'll work closely with QA leadership, Data Science, and Engineering to architect scalable AI evaluation systems, establish technical standards, and drive the evolution of our AI evaluation framework. Our current evaluation harness is based on DeepEval and is evolving towards a broader agentic evaluation architecture. You will have the opportunity to evaluate and prototype emerging agent-orchestration approaches, including Strands Agents, and contribute to architectural decisions around their adoption. The main responsibilities of the position include: Act as the primary technical enabler for QA, building scalable AI/ML frameworks, libraries, and tooling for the CX Agent Suite and beyond Design and build AI evaluation pipelines that assess the CX Agent Suite's multi-agent responses (Intent Detector, FAQ Agent, Missing-Deposits Agent) for accuracy, relevance, tone, hallucination rate, safety/guardrail compliance, and task completion — extending or replacing the current DeepEval-based evaluation harness Evaluate and prototype Strands Agents (or comparable agent-orchestration frameworks) for building self-evolving, autonomous QA agents, and drive the go/no-go decision on adoption Collaborate with QA, Data Science, and Engineering to integrate AI-driven testing into the existing GitLab CI/CD pipeline (dev → test → staging → prod), alongside Terraform-provisioned, EKS/AgentCore-hosted services Build resilient and adaptive automation that can detect and respond to changes in agent behavior, Bedrock Guardrails configuration, and routing logic Develop data-driven quality analytics, including root-cause analysis, quality trends, and intelligent test prioritization, leveraging existing observability and evaluation data from OpenTelemetry, CloudWatch, X-Ray traces, and LangFuse offline evaluation runs Lead research into emerging AI testing methodologies and mentor engineers through code reviews, workshops, and architectural guidance Main requirements: BSc/MSc in Computer Science, AI, or a related discipline 6+ years of hands-on experience in QA/Test Automation, with strong experience designing and maintaining automation frameworks 1+ years of experience applying AI/ML in software testing or QA process improvement, with a proven track record of bringing AI/ML solutions into production workflows Strong Python skills, with experience working in Python/AWS-centric technology environments; Java and/or TypeScript is a plus Hands-on experience with LLM evaluation techniques, including LLM-as-a-judge, human-in-the-loop evaluation, RAG, and multi-agent orchestration patterns Practical experience with DeepEval or comparable evaluation frameworks, along with familiarity with agent-orchestration SDKs such as Strands Agents Knowledge of LLM tooling, vector databases, and MLOps pipelines Experience integrating AI tooling into enterprise CI/CD environments, particularly GitLab, and working with containerized cloud-native environments such as Docker and Kubernetes/EKS Strong communicator, able to influence technical decisions and drive engineering standards across teams The following will be considered an advantage: Experience with autonomous QA agents or agentic orchestration frameworks for self-evolving test suites Experience with LLM observability tools such as LangFuse, LangSmith, or Arize, particularly for measuring probabilistic and adversarial robustness Knowledge of AI ethics, fairness, and bias detection for guardrail and model validation Experience with gRPC, WebSockets, and/or HTTP/2 Experience with AWS Bedrock, plus familiarity with GCP Vertex AI and/or Azure AI Benefit from: Attractive remuneration package Intellectually stimulating work environment Continuous personal development and international training opportunities The Hiring Experience: What Awaits You Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

Location: Spain; Portugal; Poland; Estonia Action1 is an autonomous patch management platform trusted by many Fortune 500 companies. Cloud-native, infinitely scalable, highly secure, and configurable in 5 minutes, it just works and is always free for the first 200 endpoints, with no functional limits. By pioneering autonomous OS and third-party application patching, Action1 helps organizations eliminate routine work, reduce ransomware and security risks, and protect the digital employee experience. It provides real-time vulnerability assessment and remediation across remote and on-site endpoints without requiring a VPN, while peer-to-peer patch distribution reduces bandwidth use on local networks. In 2026, Action1 was recognized as the fastest-growing founder-led cybersecurity company in America on the Inc. 5000. Action1 is led by industry veterans Alex Vovk and Mike Walters, American entrepreneurs who founded Netwrix, which has grown into an industry-leading, multibillion-dollar cybersecurity company. We are looking for a Dev Manager to lead the engineering team responsible for integrations between our product and external systems, including the Integrations Store. You will combine engineering leadership with hands-on technical expertise to deliver secure, reliable integrations that fit our customers' workflows. What you'll do: Lead and develop a team of engineers, providing technical direction, mentoring, and regular feedback. Own delivery outcomes within the agreed scope, provide practical estimates, and make capacity and priority tradeoffs visible. Delegate ownership to engineers and, as the team grows, team leads; distinguish near-term delivery from long-term capability development. Keep the role to no more than three clearly defined focus areas, with team leads taking ownership as capacity grows. Work with Product Management to define priorities, plan delivery, and translate customer needs into integration capabilities. Oversee the design, development, and maintenance of integrations, including: - Connectors to third-party applications and services. - An Integrations Store for discovering and managing available integrations. - Data mapping, validation, and synchronization between systems. - Authentication, authorization, and secure credential handling. - Monitoring, troubleshooting, and recovery from integration failures. Guide technical decisions within the assigned domain from solution design through development and production rollout, coordinating cross-cutting architecture and security decisions with their designated owners. Establish reusable integration patterns that handle retries, rate limits, duplicate events, and API version changes reliably. Own automated pipelines for building, testing, validating, and deploying integrations. Improve integration reliability, performance, and observability, and guide the team in resolving production issues. Coordinate with other engineering teams and external partners to manage dependencies and compatibility. Apply AI technologies where they improve integration development, testing, or support, with appropriate validation of outputs. Requirements What we're looking for: Experience leading software engineers and owning the delivery and operation of production systems. Strong software engineering fundamentals and the ability to contribute to technical problem-solving. Excellent knowledge of Node.js, JavaScript, and TypeScript. Experience building and operating AWS services in production. Hands-on experience designing and maintaining APIs and integrations with external systems. Understanding of distributed systems, asynchronous processing, data consistency, and failure recovery. Proficiency in SQL and experience with data modeling, aggregation, and query performance. Experience with secure authentication and authorization for integrations. Strong communication skills and the ability to align engineering work with product priorities. Professional working proficiency in English for leading an English-speaking team and collaborating across functions. Nice to have: Experience writing automated integration and contract tests. Proficiency in SQL. Experience with runtime isolation and sandboxing for sensitive execution. Experience in B2B SaaS, security, compliance, or data governance. Experience building high-load products with numerous endpoints. Experience maintaining integrations across multiple third-party API versions. Benefits Fully remote work with flexibility to support your work-life balance. A collaborative environment that empowers you to own your domain and implement best practices. Stable income, benefits, flexible working hours, and opportunities for career advancement. Friendly, professional colleagues who are eager to support you and help you grow. Engaging challenges and opportunities to make a meaningful impact.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're seeking an experienced Social Escalations Manager to be a founding member of a new pillar of our Operations organization: Community & Executive Escalations. This role is the front line of how Anthropic protects its reputation when high-stakes user issues surface on public social platforms.You'll help stand up the function from scratch and operate it day-to-day.  You'll actively monitor brand and product conversations, triage emerging issues, and own social escalations end-to-end. During live escalations, you'll build real-time social reports that turn data into actionable recommendations to resolve issues quickly and reduce reputational risk. The ideal candidate pairs deep fluency in the social analytics landscape with calm judgment under pressure, sharp written communication, and a bias toward action. Key responsibilities Build the team's playbooks, escalation criteria, tooling solutions, and SOPs to successfully manage social escalations Actively monitor public social channels for brand mentions, surfacing potential escalations and triaging them against defined criteria Own social escalations end-to-end during your coverage hours Communicate crisply with internal stakeholders: brief executives on live situations, give Comms partners the facts they need, and keep incident channels useful and current Build social reports in real-time, using the data to drive actionable recommendations that quickly and effectively resolve live incidents and reduce reputational risk Write clear post-escalation reports that capture what happened, what we did, and what should change—so the next escalation is easier than the last Help iterate on the team's playbooks, response templates, escalation criteria, and SOPs based on what you learn running real cases Minimum qualifications 6+ years of experience in social analytics, escalations management, customer support, or a related front-line operations role—ideally at a consumer or developer platform Deep knowledge of the social landscape and hands-on experience using social listening tools (query writing, alert design, API pipelines, report building) Excellent judgment under pressure and have a strong instinct for how issues spread across public social platforms Sharp written communication—you can brief a senior leader in three sentences and document an incident so the next responder can pick it up cold Comfort coordinating across functions in real time and influencing partners without positional authority A pattern-detection mindset—you spot the second-order issue beneath the first-order complaint and surface it to the right people Comfort with ambiguity and a bias toward action; this team is brand new and you'll be helping define what good looks like as you operate Excitement about protecting Anthropic's reputation and relationships at a moment when public attention on AI has never been higher The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $210,000 — $260,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Anywhere in France, Belgium, Spain HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐ THE ENGINEERING TEAM ⭐ In our engineering team, we build the infrastructure, interfaces, and applications to provide first-class service to our members, health professionals, and even ourselves! Being an engineer at Alan means joining a team of talented, committed and passionate engineers, with a lot of interactions. We move fast, with a lot of ownership, and are proud to tackle big problems! Our process is very simple: those who make product decisions are the same ones who build them. Want to know more? Read this article https://medium.com/alan/a-new-iteration-of-our-engineering-career-path-at-alan-f46f7b229b2d on our Engineering career path. 🛠️ THE STACK Python/Flask, Typescript, React, React Native on the coding side. AWS, GCP, Kubernetes, PostgreSQL, Redis, Terraform/Terramate, Datadog, Cloudflare, GitHub Actions on the platform side, all in a monorepo. We deploy daily and believe in distributed ownership - you build it, you own it. 🤖 THE INFRA CREW - WITHIN THE TECH FOUNDATIONS AREA 🎯 Mission: - Tech Foundations - enables product crews and creates the environment to thrive, combining world-class infrastructure, intuitive developer experience, exquisite operational excellence, and built-in security to make shipping exceptional products effortless. - Infra - is one of its crews. Its mission: operate and evolve the foundations Alan runs on (multi-cloud infrastructure, data platforms, observability, and the operational practices around them) so that product crews ship safely and quickly, members never feel the platform underneath, and the business can expand to new countries without re-inventing how we run. 🔭 Scope: 1. Cloud foundations & multi-cloud architecture: own and evolve Alan’s cloud footprint, Infrastructure-as-Code stack (Terraform, Terramate), and the architectural decisions enabling international expansion. 2. Data & application platforms: operate and evolve the foundations product crews build on: PostgreSQL/Aurora, our events pipeline, async workloads, and database migration tooling, without leaking complexity into product code. 3. Reliability, observability & on-call: own Alan's platform uptime and latency SLOs end-to-end. Evolve our observability stack (Datadog), the incident response process (Incident.io http://Incident.io), and the shared on-call rotation across the area to keep it sustainable as we scale. 4. Governance & compliance enablement and FinOps: own the cross-cutting concerns no single domain holds, infrastructure cost (FinOps), IAM posture, backup and disaster recovery, exit strategy, with automation and reporting that scales beyond the crew. 5. AI-augmented infrastructure operations: make AI assistants a first-class citizen for incident investigation, runbook execution, and toil reduction, so engineers spend their time on high-leverage work. 👀 Focus for 2026: In 2026, we're growing the team significantly to step up impact across four bets: - Multi-cloud expansion: revisit our cloud strategy as we go international, and launch new geographies. - Decoupling for scale: evolve service architecture to carry Alan 2.0 from 1M members today to 10M. - Operational excellence: raise the quality bar end-to-end by overhauling observability, on-call, and cost management practices. - AI-augmented infra ops: make AI assistants a first-class part of investigation, troubleshooting, and toil reduction, so engineers spend time where leverage is highest. ⭐ IS IT YOU WE’RE LOOKING FOR? EXPERIENCE WE VALUE - 3+ years in Platform engineering, DevOps, Site reliability engineering or equivalent roles. - You have strong experience with cloud platforms (especially AWS or GCP). - You're comfortable writing code for automation and tooling (e.g. API, internal command line, developer portal) and willing to work in Python/Typescript (but you don’t need to have experience with those 2 languages!). - You have touched observability, monitoring, alerting or incident management tools and practices. - You are able to design and implement robust infrastructure systems with a focus on reliability and observability. - You can maintain our uptime targets while optimizing infrastructure costs. - You’ve built and maintained internal or external tooling (e.g. API, web interface, internal command line, configuration as code, etc) for other engineers. MINDSET WE VALUE - You treat infrastructure and platform engineering as product work: engineers & members are your customers, and infrastructure should feel effortless. - You’re hands-on: writing code is the bulk of the job (Python, TypeScript, Terraform). You ship what you write to production yourself, then operate it: rollouts, alerting, on-call, incident response. - You're an enabler: you measure your impact by how fast product crews ship features without ever consulting you. The harder you've worked, the less they have to engage you. - You build reusable patterns: guardrails, libraries, and reliable-by-default abstractions that prevent outages and runaway cost at scale. - You’re fluent in English (French is not required). For this opportunity, we are aiming to hire above C1 level range https://medium.com/alan/a-new-iteration-of-our-engineering-career-path-at-alan-f46f7b229b2d. But above all, we are looking for high potential and curiosity: make sure to show us this when you apply! Everything else is a bonus. 🌍 HOW WE WORK - Location: You must be legally eligible to work in France, Belgium, or Spain. - Remote work: We offer remote work flexibility, but we value in-person collaboration 🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info. YOU WANT TO KNOW MORE ABOUT ALAN? - 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. - 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work #LI-DNP

Location: Sydney, Australia Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? It’s an exciting time at Fin - especially within our Deployment Services team. We’re helping some of the world’s most innovative companies transform how they support their customers through AI-powered customer service. As a Senior AI Deployment Consultant , you’ll lead our largest and most complex customer deployments, combining world-class project management with hands-on technical configuration of the Fin platform. You’ll be the trusted advisor who ensures our customers achieve value quickly and at scale, guiding them not only to do the foundations, but set a direction on how they measure their impact with AI. You’ll partner with a dedicated team of engineers for complex technical work while managing the overall project strategy, timeline, and delivery. This is a perfect role for someone who thrives at the intersection of technology, customer success, and execution excellence. What will I be doing? Own end-to-end deployment programs for our largest customers, ensuring successful and timely implementation to Fin - acting as a primary point of contact throughout. Hold projects to scope, schedule, and budget that align with each customer’s unique goals and support model and keep GTM partners current on project state. Lead discovery sessions to understand complex customer requirements and translate them into actionable technical and project plans. Own the hands-on configuration of the Fin platform—spanning automation, workflows, and analytics—while orchestrating technical readiness across data migrations, integrations, and security protocols. Partner with Forward Deployed Engineers to solve complex technical hurdles while maintaining autonomy over the vast majority of platform implementation. Coordinate technical readiness activities, including integrations, data migrations, and security reviews. Run projects with operational precision: maintained risk logs, a structured reporting cadence to both customer and internal leadership, clear escalation paths, and documented decisions. Surface risk early enough that it can be mitigated rather than managed. Partner with Sales, Customer Success, Product, and R&D - shaping deployment strategy up front and feeding what you learn in the field back into the roadmap. Contribute to the evolution of our Deployment Services methodology, templates, and best practices. Apply AI tooling to your own delivery work to compress discovery, documentation, and asset creation - and share what works back to the team. What skills do I need? 5+ years of experience in customer-facing implementation, deployment, or professional services roles, ideally within SaaS or AI technology companies. A track record of delivering large, complex, multi-stakeholder projects on time and on budget with low escalation rates - and a clear point of view on the operating discipline that makes that repeatable. Hands-on technical capability. You can configure platforms yourself, and you're fluent enough in APIs, data flows, and integration patterns to know when a requirement is a config problem versus an engineering one. Exceptional communication and relationship-building skills, capable of influencing both executives and technical stakeholders. Strong judgment under ambiguity - you can prioritize, decide, and move when requirements aren't fully formed, and you're resilient in a fast-paced, changing environment. Daily use of AI tooling in your own workflow - discovery synthesis, documentation, customer assets - and the ability to show how it's changed your delivery pace. We'll ask about this. Experience with Intercom Helpdesk, Zendesk, Salesforce, or similar CX platforms is a plus. How Will I Be Measured? Automation Rate - Are you driving your customers to achieve high adoption of Fin? CX Score — do customers rate the deployment experience highly? On-time, on-budget delivery — do your projects land against the timeline and scope you committed to? Time-to-value — how quickly do customers get to a working, measurable Fin deployment? Contribution to the team — the templates, mentorship, and best practices you leave behind. #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Remote Who we are Our mission is to bring clarity and control to the world's most complex codebases. AI is accelerating code creation, but the infrastructure to understand, oversee, and evolve that code hasn't kept pace. Sourcegraph gives engineering organizations full visibility across their systems, precise context for their agents, and the ability to execute coordinated code changes at scale. As agentic development becomes the dominant engineering paradigm, we provide the context layer teams need to take control of their codebase. With Code Search, Deep Search, MCP, and Agentic Batch Changes, we deliver on that mission today - giving engineering teams and their AI tools the cross-repo context to navigate massive codebases with confidence, and the ability to make changes across hundreds of repositories at once. Companies like Stripe, Reddit, and Leidos rely on Sourcegraph to ship faster and with higher quality. We're backed by a16z, Sequoia, and Redpoint, and proud to operate as a globally distributed team that values high agency, direct communication, and customer love. If you want to build the infrastructure that lets every engineering team - and every agent they deploy - operate on their codebase with confidence, join us. Hours & location 🌎 While we hire almost anywhere in the world, we have a preference for someone to reside in the following locations for this role. However, if you feel qualified, we welcome you to apply regardless of location. No matter what, working hours must overlap with EST for at least 20 hours/week. Preferred locations: USA Why this job is exciting Sourcegraph is at the forefront of building AI tools to solve the biggest problems in the software industry, problems that only get bigger as codebases grow and as more of the work is done by agents. The Code Understanding team owns the surfaces where that intelligence meets the developer: Deep Search , our agentic, multi-step answer engine across an enterprise's entire lineup of codebases, Query Assist , turning natural language queries into Sourcegraph query syntax, Smart Hovers , concisely summarizing symbols right where devs need it, guided diff review, and the APIs that both humans and AI agents rely on every day. Most of what makes those surfaces tick is agent engineering : a blend of software engineering, machine learning, and statistics. Agent engineering tells us which model to use and when, how to retrieve and pack context, how to measure answer quality, where to fine-tune or distill a smaller model to cut costs and latency, and how to expand a single LLM call into a reliable multi-step agent. As the staff ML and agent engineer on Code Understanding , you'll be the technical owner of it: setting the tam’s direction for models, evaluations, and agentic systems, making our products measurably better, faster, and cheaper, and raising the team's fluency in building with models. This is a staff-level role : we're hiring a technical leader, not just a strong individual contributor. The primary need is a production ML and evaluation authority who also builds production agent systems. You'll own the hardest, most ambiguous problems in this space, set standards others follow, and influence direction beyond your immediate team. You'll get the exhilarating chance to drive the vision on how we can provide the best code understanding experience on the market by combining our deterministic, large-scale systems and AI into experiences never seen before. Concretely, you'll own work like: Agentic systems. You'll design and harden the multi-step, tool-using agent loops behind current and new agentic experiences, turning research and experiments into reliable, observable, and affordable products at enterprise scale. Pragmatic use of evaluations. Crafting agentic products means needing to tell when a change actually helped, which is hard when agents keep changing and the product keeps shifting. You'll bring judgment about where evaluations earn their keep, when to use targeted smoke tests and metrics, and how to avoid noise dressed up as rigor, so we can move fast with confidence. Models: selection, upgrading, and training. You'll decide which models we run where, drive upgrades, and fine-tune our own when that's the right call. Retrieval and context engineering. You'll push on how we ground models in a customer's code - retrieval, ranking, context windows, citations - to make answers more accurate and verifiable. Cost and latency. Every surface has a per-user economic budget. You'll treat cost and latency as product features, and profile, distill, cache, and right-size models so we can ship ambitious features sustainably. You'll do this on a small, senior-leaning team that ships quickly, owns a lot of product surface, and has streamlined product management: engineers here talk to customers, frame the problem, and own it end-to-end. You'll have real agency over technical direction and a direct line to the impact of your work. 📅 Within one month, you will… Get the Code Understanding products and their model/agent pipelines running end-to-end locally, and land your first improvements to a model, prompt, retrieval path, or eval. Build a clear picture of where the AI engineering pain is, and the product surfaces most constrained by them. Get to know the team and our customers, and start forming your own opinions about where our agentic products should go next. Join the team's on-call support rotation. 📅 Within three months, you will… Own a meaningful agentic slice of the product end-to-end, driving it from problem-framing through rollout and measurement. Establish how the team ships model and prompt changes responsibly: the evals, dashboards, and guardrails that make quality and cost regressions visible before customers feel them. Begin up-leveling teammates in building with models by pairing with them, reviewing their code, and modeling good agent engineering instincts. 📅 Within six months, you will… Be the recognized technical authority for agent engineering and agentic systems on Code Understanding. You will be the person teammates, and increasingly the wider department, defer to on model, eval, and agent-design decisions. Have measurably moved the products: better answer quality, lower cost/latency, or new agentic capabilities that weren't feasible before. Be setting the direction of the team's roadmap where it intersects agents, bringing conviction, backed by evidence, about which bets are worth making, and pulling other engineers up to execute on them. About you You are a staff engineer and technical leader with hard-won skills across production machine learning, evaluation, and agent systems . This high-leverage role relies on your ability to make sound model and evaluation decisions for a fast-moving product, build the production systems around them, steer technical direction, and be a force multiplier for a talented, product-minded team. You're equally comfortable reasoning about an eval harness, a fine-tuning run, a retrieval pipeline, and the multi-step agent loop that ties them together, and you make everyone around you better at all of it. You operate at staff scope: you own the most ambiguous, highest-risk problems in your domain, go into whatever codebase a problem requires, set standards and patterns others adopt, and translate fluidly between engineering goals and business objectives. You influence direction beyond your immediate team. You lead through technical excellence and mentorship. You have personally owned a production model lifecycle. You have trained or fine-tuned at least one model and taken it from dataset construction through evaluation, production rollout, and monitoring. You can explain how you chose between training or fine-tuning and prompting or retrieval, how you chose baselines and metrics, what error analysis revealed, and how production evidence affected the next version. You build agents, fluently and opinionatedly. You've designed multi-step agentic systems and made them reliable, observable, and cost-bounded. You have a point of view on where agents shine and where deterministic code or human judgment is required. You have strong evaluation judgment. You build representative datasets, meaningful baselines, useful error taxonomies, and release criteria that connect offline measurements to production behavior. You know where rigorous evaluations earn their keep, where lightweight smoke tests or qualitative review are enough, and where a precise-looking metric is misleading. You treat cost and latency as product constraints. You make measured quality, latency, and cost tradeoffs and use the appropriate combination of model selection, prompting, retrieval, caching, distillation, and fine-tuning rather than reaching reflexively for a more complex model. You operate autonomously on ambiguous problems. Given a rough product idea, a few customer quotes, and a Slack thread, you come back with a plan, a prototype, milestones, and a point of view on tradeoffs, without it being pre-scoped. You own high-technical-risk projects end-to-end. You contribute beyond your domain. As a senior IC, you go into whatever part of the codebase a problem requires, recognize issues beyond your immediate area, and translate between engineering goals and business objectives. You up-level the people around you. You mentor by pairing on hard problems, providing substantive design and code reviews, and spreading agent engineering literacy across the team. You see investing in your teammates' growth as part of the job. You're customer and product-driven. You're comfortable on customer calls and in feedback threads, you turn raw signals into requirements, scopes, and milestones, and you push back when feedback would lead the product astray. You're pragmatic, not a perfectionist. You ship the smallest correct thing, prefer robust solutions over complicated ones, and keep a high-quality bar with simplicity. On the engineering fundamentals: You're a strong software engineer who can ship production services. You're comfortable across our stack - Go on the backend, TypeScript on the frontend, GraphQL, Postgres, Docker - or you're clearly able and eager to get there. You're fluent with agentic coding tools, and you understand and own every line it submits. You're comfortable in an async-first, multi-service, fast-paced remote environment. Nice-to-haves: You've shipped an LLM-powered or agentic developer-facing product you can speak about opinionatedly: what worked, what didn't, what you'd do differently. You've fine-tuned, distilled, or trained models to meet cost, latency, or quality targets in production. Experience with retrieval, ranking, embeddings, or search relevance. Experience working directly with enterprise customers and translating their needs into a product. Experience mentoring or up-leveling engineers, especially raising a team's agent engineering fluency. Level 📊 This job is an IC4. You can read more about our job leveling philosophy in our Handbook. Compensation 💸 We pay above-market salaries because we want to hire exceptional people who can focus on building great products, not worrying about paying bills. As an open and transparent company, our compensation philosophy and pay bands are visible to every Sourcegraph teammate, and we strive to make our approach equitable, explainable, and competitive. Your base salary is determined by the IC4 pay band for your location zone (1-4). Our pay bands are informed by market data and designed to ensure competitive compensation wherever you live. During the recruiting process, we'll discuss the range applicable to you based on job level, relevant skills, experience, qualifications, and location zone. 💰 The starting salary for the IC4 pay band in each zone is: Zone 2: $176,000 USD Zone 3: $132,000 USD Zone 4: $88,000 USD 📈 In addition to competitive cash compensation, we offer meaningful equity (because when Sourcegraph succeeds, we want you to succeed, too) and generous perks & benefits . Interview process Below is the interview process you can expect for this role (you can read more about the types of interviews in our Handbook). It may look like a lot of steps, but rest assured that we move quickly and the steps are designed to help you get the information needed to determine if we’re the right fit for you… Interviewing is a two-way street, after all! We expect the interview process to take 5.5 hours in total. 👋 Introduction Stage - we have initial conversations to get to know you better… [30m] Recruiter Screen [30m] Hiring Manager Screen 🧑‍💻 Team Interview Stage - we then delve into your experience in more depth and introduce you to members of the team, including cross-functional partners… [60m] Resume Deep Dive [60m] System Design [60m] Harden a Code Research Agent Interview [60m] Cross-functional team collaboration / Values 🎉 Final Interview Stage - we move you to our final round, where you gain a better understanding of our business and values holistically… [30] Leadership We check references and conduct your background check Please note - you are welcome to request additional conversations with anyone you would like to meet, but didn’t get to meet during the interview process. Learn more about us You can learn more about what it is like to work at Sourcegraph by reading our handbook . We are an ambitious team who are collectively working hard to build the most influential company in the world. You can read more about our culture , competitive compensation and benefits here. Sourcegraph is an equal opportunity workplace; we welcome people from all backgrounds. Sourcegraph participates in E-Verify for U.S. Employees.

Location: Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Remote, Germany; Warsaw, Poland; Yerevan, Armenia If you want to build and own the systems that decide what JetBrains customers are entitled to use and bill them accurately for it, this is for you. You will focus on designing backend services, keeping complex commercial flows correct, and tackling hard distributed systems challenges on the critical path of every paid request. 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 At JetBrains, the Cloud Platform department builds the underlying infrastructure that powers authentication, paid capabilities, usage metering, and accounting. Within this department, the Licensing & Billing team sits right at the center of our commercial model, turning what a customer buys into what they are actually allowed to use, and accounting for that consumption accurately enough to bill on. The complexity of our entitlement, quota, and metering systems continues to grow. In this role, you will own the correctness and evolution of these backend services, take full ownership of end-to-end data flows, tackle distributed consistency across unreliable upstream systems, and ensure revenue-affecting data migrations happen cleanly without taking services offline. Day to day, you will: Design, build, and operate backend services that decide what a customer is entitled to and what their usage costs. Own flows end to end, from ingesting licensing and purchase data from upstream systems to enforcing quotas and recording consumption. Evolve our domain model to handle new commercial structures, combining seat-based plans and usage-based models. Design integrations with external systems, ensuring correctness through idempotency, ordering, reconciliation, and eventual consistency. Plan and execute live data migrations using feature flags, dual writes, backfills, and verification at every stage. Build observability into our systems by defining invariants, metrics, and alerts to catch silent divergence before customers do. Design internal APIs with explicit focus on versioning, backward compatibility, and developer experience for other JetBrains teams. Improve system performance and reliability under continuous production load while decommissioning legacy subsystems. Write integration tests against real dependencies and maintain reliable test infrastructure. Investigate production incidents, find root causes, and follow through on lasting fixes. What you’ll bring An engineer’s dedication to accuracy, especially in domains where system errors have direct financial impact. Pragmatic judgment when designing distributed systems where correctness under unreliable delivery is the main constraint. A habit of trusting metrics, traces, and logs to understand production behavior rather than relying on assumptions. Comfort navigating and simplifying large existing codebases containing legacy decisions. Clear, direct communication skills to agree on API contracts across teams with different priorities. A focus on testing as an essential design tool rather than an afterthought. What you’ll need A proven track record of building and operating backend services on the JVM platform using Kotlin or Java. A solid working knowledge of relational databases, including transactions, isolation levels, locking, indexing, and live schema migrations (PostgreSQL preferred). A deep understanding of distributed systems patterns, such as idempotency, retry strategies, eventual consistency, and data reconciliation. Practical experience making live data migrations or system changes without downtime using feature flags and staged rollouts. Experience designing versioned, backward-compatible APIs for other engineering teams. Hands-on experience with event-driven architectures and message brokers like Kafka. The ability to diagnose, debug, and resolve production incidents in complex environments. Proficiency in both written and spoken English. What success looks like Success in this role means building a bulletproof entitlement and metering foundation that product teams can trust without hesitation. You will have successfully migrated live commercial systems to support new billing models without downtime or data divergence. Silent errors will be caught automatically by system invariants before affecting users, and internal teams will integrate seamlessly with your clean, versioned APIs. Why join JetBrains? Strong base salary. We offer competitive pay that reflects your skills and experience. Flexible work location. Enjoy the freedom to work from home or from the office. Remote work. Spend up to 30 days per year working remotely from abroad. Extra time off. More days to relax, recharge, and do the things you love. Medical insurance allowance. Enjoy peace of mind for you and your family Learning and development opportunities. Access to conferences, courses, and language classes. Relocation support. We help make your move as smooth and stress-free as possible. (keep if relevant for the role) Language classes. Pick up the local language or sharpen your English skills. Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays. Mental health support. To help you feel your best, we provide easy access to professional mental health services. Sports benefit. Enjoy an on-site gym or sports club stipend. Internal events. Join company-wide celebrations and team gatherings. *Some benefits may vary depending on location. #LI-KT1 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: București, Romania Workplace: hybrid About us EveryMatrix is a leading B2B SaaS provider delivering iGaming software, content and services. We provide casino, sports betting, platform and payments, and affiliate management to 300 customers worldwide. But that's not all! We're not just about numbers, we're about people. With a team of over 1400 passionate individuals spread across twelve countries in Europe and Asia, we're all united by our love for innovation and teamwork. Join us on this exciting journey as we continue to redefine the iGaming landscape, one groundbreaking solution at a time. About the Role We are looking for a Product Data Analyst to join the UXMatrix Product Team and help establish a consistent, evidence-based approach to product development and optimization. You will define how product performance and user behaviour are measured, ensure that the necessary data is collected accurately, and transform that data into insights and recommendations that Product Owners, UX Designers, Engineering teams, and business stakeholders can act upon. This role extends beyond dashboard creation and regular reporting. You will investigate user journeys, identify friction and opportunities, support product discovery, define feature-success criteria, and determine whether released initiatives achieve their intended customer and business outcomes. You will work across UXMatrix products, with a particular focus on critical frontend journeys such as registration, login, deposit, sportsbook navigation, event discovery, bet placement, casino discovery, promotions, content interaction, and customer retention. What You'll get to do: Product Measurement Strategy Work with Product Owners and stakeholders to translate business objectives into measurable product outcomes and KPIs. Establish clear success criteria before features and initiatives enter development. Define leading and lagging indicators across acquisition, activation, engagement, conversion, retention, and feature adoption. Help product teams distinguish between activity metrics, diagnostic metrics, and measurable customer or business outcomes. Ensure product recommendations are supported by reliable data, user research, or clearly documented hypotheses. Analytics Tracking and Data Quality Define and maintain analytics tracking plans for websites, applications, widgets, and critical user journeys. Translate business questions and measurement objectives into clear technical tracking requirements. Validate analytics implementations before and after release. Monitor data quality and investigate broken events, incomplete parameters, unexpected changes, and reporting discrepancies. Ensure that tracking implementations comply with consent, privacy, security, and applicable regulatory requirements. Product and User-Behaviour Analysis Identify abandonment points, friction, behavioural patterns, and opportunities for improvement. Segment users according to relevant characteristics such as acquisition source, device, market, lifecycle stage, product preference, engagement level, or previous behaviour. Conduct funnel, cohort, retention, conversion, path, and behavioural analyses. Analyze critical user journeys Combine quantitative data with UX research, customer feedback, technical performance, and operational context. Reporting and Data Visualization Build and maintain dashboards that provide stakeholders with a clear view of product performance. Create reporting views appropriate for Product Owners, UX teams, Engineering teams, operators, commercial stakeholders, and senior management. Present trends, anomalies, risks, and opportunities clearly and concisely. Reduce dependency on manual reporting by developing reusable and automated dashboards. Ensure KPI definitions remain consistent across products, teams, and reports. Deliver focused analysis and actionable recommendations rather than reporting data without interpretation. Product Discovery and Decision Support Support Product Owners during product discovery by evaluating evidence, sizing opportunities, and identifying behavioural problems. Provide data to support roadmap prioritization, business cases, and investment decisions. Help product teams formulate measurable hypotheses for proposed product changes. Challenge assumptions and stakeholder requests when they are not supported by evidence or a clearly defined customer problem. Conduct market, benchmark, and competitor analyses when relevant to product decisions. Contribute relevant data and insights to product reviews, client presentations, RFP responses, and strategic discussions. Experimentation and Feature Evaluation Define hypotheses, success metrics, guardrail metrics, and evaluation criteria for product experiments. Support A/B tests, controlled rollouts, phased releases, and other product-validation methods. Conduct post-launch reviews to determine whether delivered features achieved their intended outcomes. Track whether recommendations lead to product changes and measurable improvements. Stakeholder Collaboration Work closely with Product Owners, UX Designers, Developers, QA Engineers, Architects, BI teams, operators, and commercial stakeholders. Facilitate workshops to define business questions, KPIs, success criteria, and tracking requirements. Proactively identify relevant insights rather than working exclusively from reporting requests. Establish a regular product-insight cadence through reviews, reporting, and focused deep-dive analyses. Keep stakeholders informed about measurement gaps, data-quality risks, and significant product-performance changes. What we’re looking for: At least three years of experience in product analytics, digital analytics, business intelligence, data analysis, or a comparable analytical role. Previous experience in sportsbook, iGaming, gaming, fintech, e-commerce, or another transactional or regulated digital industry. Strong SQL skills and experience extracting, combining, validating, and analyzing data from multiple sources. Experience analyzing digital-product behaviour, including user journeys, conversion, engagement, feature adoption, and retention. Experience defining analytics events, parameters, tracking plans, event taxonomies, and measurement frameworks. Practical experience with analytics and visualization tools such as GA4, Microsoft Clarity, Power BI, Looker, Tableau, Amplitude, Mixpanel, or equivalent platforms. Ability to transform complex data into clear findings and actionable product recommendations. Strong written and verbal communication skills, including the ability to present findings to technical and non-technical audiences. Strong attention to detail and a disciplined approach to data quality and validation. Experience collaborating with Product, UX, Engineering, QA, BI, and commercial teams. Good understanding of web and mobile application behaviour, including client-side and server-side tracking. Professional proficiency in English. A degree in statistics, mathematics, computer science, economics, business, or another relevant discipline. Here's what we offer: Start with 22 days of annual leave, with 2 additional days added each year, up to 32 days by your fifth year with us. Benefit from two Free Fridays each year, limited to one per quarter. 3 sick leave days per year, no doctor's note required. Daily catered lunch or monthly lunch allowance. Private Medical Subscription. Access online learning platforms like Udemy for Business and LinkedIn Learning, and a budget for external training. Access to an Employee Assistance Program through TELUS Health. Our office perks include parking, on-site massages, and frequent team-building activities in various locations. And did we mention our amazing office space complete with its own pool and gym? At EveryMatrix, we're committed to creating a supportive and inclusive workplace where you can thrive both personally and professionally. Come join us and experience the difference! EveryMatrix is a member of the World Lottery Association (WLA) and European Lotteries Association. In September 2023 it became the first iGaming supplier to receive WLA Safer Gambling Certification. EveryMatrix is proud of its commitment to safer gambling and player protection whilst producing market leading gaming solutions.

Location: Brazil; Peru; Sweden; Colombia; Argentina; Romania; Malta; Slovenia; Lithuania; Czech Republic; Estonia; Hungary; Mexico; Chile; Poland; Bulgaria Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. The Pro Verifications team decides whether a business signing up on the Pro side is who it says it is, and whether we're allowed to onboard it. That means figuring out who actually owns the business, running it against sanctions and watchlists, and doing all of it fast enough that a real customer doesn't lose patience and leave. Every Pro customer hits these systems, so slow or wrong is very visible — and the team is early, which means whoever joins gets to decide how a lot of it works instead of inheriting it. How We Work - We deploy constantly, almost always behind a flag, in pieces small enough to pull back fast. - Security and compliance show up at design time, not as a gate at the end. - Every story is tied to a metric it's meant to move — if work isn't on the board, it doesn't get staffed. - At this level, you're expected to shape these standards, not just work inside them.   THE OPPORTUNITY As a Staff Engineer on Pro Verifications, you'll own the technical direction for how verification is built here — the architecture, the patterns other engineers work inside, and the calls about what we own versus what we lean on a vendor for. You'll be hands-on across the stack, drive out entire classes of recurring failure rather than patching them one at a time, and design the fail-closed and audit behavior that keeps regulators satisfied. This is a high-impact, hands-on technical leadership role for engineers who've built where being wrong has real consequences, and who want to shape a system that stays fast, safe, and defensible as it grows. - Set the shape of the verification services and their contracts across the KYC/KYB flow. - Decide how we abstract KYC and KYB vendors so a bad provider day doesn't turn into an outage. - Design fail-closed behavior and audit trails that hold up under regulatory scrutiny. - Identify the classes of failure that keep recurring and remove them for good. - Write and drive architecture decisions (ADRs), and hold the line on security and compliance at design time, not as a late gate. - Mentor and raise the bar for senior engineers through design reviews, code, and direct feedback. - Be measured on whether verification gets faster, more of it decides itself, fewer decisions are wrong, and the systems stay up — and on whether the team got stronger for you being on it.   WHAT YOU BRING - Around eight years building and running production systems, with a track record of owning a domain's technical direction, not just delivering inside one. - Deep, fluent expertise in Rust, with the versatility to work across TypeScript and React where verification meets the customer. - You've set architecture other people build on, and it held up — you can point to specific classes of failure you designed out, not just incidents you fixed. - You've made teams faster through patterns, tooling, or mentoring — engineers around you got better and shipped more because of calls you made. - You've built where being wrong had real consequences: compliance, payments, security, or anywhere a bad call costs more than a rough user experience. - Strong on distributed systems, service contracts, and secure design — you've integrated third-party APIs that couldn't be trusted, with real timeouts, retries, idempotency, circuit breakers, and backup paths that actually get tested. - Comfortable with, or able to quickly ramp on, gRPC, Temporal, Docker, Kubernetes, Terraform, MySQL/MariaDB, Redis, and GitLab CI.   NICE TO HAVES - Direct experience with KYC, KYB, or fraud work, including integrating providers like Trulioo, Persona, or ComplyAdvantage. - Comfort building with AI in the loop. - Time spent in crypto, fintech, or another space regulators pay close attention to.         Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Batumi, Georgia; Berlin, Germany; Munich, Germany; Lisbon, Portugal; Warsaw, Poland; Barcelona, Spain The Vault by Tría Finance is a Swiss and EU-regulated fintech group delivering institutional-grade digital asset infrastructure and services. Bringing together a software vendor and a licensed Crypto Asset Service Provider (CASP), The Vault combines deep domain expertise with a strong foundation of transparency, security, and regulatory compliance. We develop and operate a comprehensive suite of crypto-native solutions, powered by proprietary technology, enabling institutions to execute digital asset strategies across both custodial and non-custodial models. We're building a security-first platform for digital asset operations. Our product is API-driven, highly auditable, and engineered for reliability. We're looking for a Senior Full-Stack Engineer who can own features end-to-end — from clean domain modeling in Go or Node.js to a polished, crisp React UI. Responsibilities: Build end-to-end product features across Go and Node.js/Express backends and React frontend AI-assisted development: use Cursor/Copilot/ClaudeCode (or similar) daily to accelerate delivery, refactoring, and test generation—while verifying outputs and keeping code clean Design backend services using DDD patterns (bounded contexts, aggregates, domain events), clean layering, and pragmatic architecture Implement data models and migrations across PostgreSQL and MongoDB, using GORM, Mongoose, or raw queries where appropriate Build and maintain REST APIs (and webhooks/event-driven workflows where needed) in both Go and Node.js/Express Implement frontend flows in React (TypeScript): dashboards, admin workflows, status lifecycles, audit views Ensure correctness and observability: structured logging, metrics, tracing, and production-ready error handling Contribute to security fundamentals: RBAC, least-privilege access, safe secrets handling, and audit trails Own quality: unit/integration tests, contract tests, and CI pipelines Requirements Must-have 7+ years building production systems with Go and/or the MERN stack (MongoDB, Express, React, Node.js), plus solid React experience Strong backend fundamentals: concurrency, APIs, reliability, debugging Hands-on with DDD (not just buzzwords): can model domains and keep boundaries clean Strong database skills across PostgreSQL and MongoDB: schema/collection design, indexing, query tuning, migrations Experience with GORM and/or Mongoose (or similar ORMs/ODMs) plus comfort dropping to raw SQL or aggregation pipelines when needed Frontend proficiency in React (TypeScript preferred), including state management and form-heavy admin UIs Good testing discipline (Go testing, Jest/Vitest, integration tests; frontend testing basics) REQUIRED: confident daily use of AI coding tools (Cursor/Copilot/etc.) with disciplined verification and secure practices Nice to have Event-driven patterns: outbox, retries, idempotency, background jobs Experience with RBAC/policy engines, audit logs, fintech/compliance workflows Docker/Kubernetes familiarity CI/CD ownership (GitHub Actions/GitLab CI), release workflows Experience with high-security systems (custody, payments, identity) Soft skills Ownership mindset: deliver features end-to-end with high quality Clear communication and ability to work across teams Pragmatic: balances long-term design with shipping Comfortable in ambiguity and fast iteration Benefits Competitive salary; Annual performance bonus; Fully remote position — work from anywhere in the world (team operates on CET); Paid time off, including vacation, sick leave, and public holidays; Multiple projects within the company — the opportunity to discuss different projects during the interview and choose the one that's the best fit for you.

Location: Riyadh, Saudi Arabia Müller’s Solutions is looking for an experienced UX Team Lead to lead UX initiatives and drive user-centered design across digital products and services. Requirements Bachelor’s degree in Computer Science, Engineering, or a related field . 7+ years of experience in UX/UI , with at least 3 years in a leadership/managerial role . Strong experience in user-centered design methodologies and end-to-end UX processes. Proven experience leading and developing UX/design teams. Strong knowledge of UX research, product discovery, interaction design, wireframing, prototyping, and usability testing . Hands-on experience with modern design and prototyping tools, particularly Figma . Experience designing and leading interactive web and mobile applications . Strong understanding of web and mobile interaction patterns and UX best practices . Excellent communication, writing, analytical, and critical-thinking skills. Ability to collaborate effectively with distributed teams across different time zones . Comfortable working in ambiguous, fast-paced environments with a high degree of flexibility and adaptability.

Location: Mexico; Colombia; Argentina; Brazil; Venezuela, Bolivarian Republic of; Paraguay About Huzzle At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor Job Summary We’re looking for an experienced UI/UX Designer with 3+ years of professional experience designing intuitive, engaging, and visually polished digital products. You’ll work closely with product managers, developers, and other stakeholders to turn business requirements and user needs into thoughtful digital experiences. This is an ideal opportunity for a designer who combines strong visual design skills with a user-centered approach and enjoys taking ownership from initial concepts through final implementation. Key Responsibilities Design intuitive, user-friendly interfaces for web and/or mobile products. Create user flows, wireframes, prototypes, mockups, and high-fidelity UI designs. Translate product requirements and user needs into clear, effective design solutions. Collaborate closely with product managers, developers, and other stakeholders throughout the product lifecycle. Build, maintain, and contribute to scalable design systems and reusable components. Conduct or contribute to user research, usability testing, and design validation. Use feedback, research, and product insights to continuously improve the user experience. Ensure consistency across layouts, typography, colors, components, and interaction patterns. Prepare designs and specifications for smooth developer handoff. Review implemented designs and collaborate with developers to maintain a high standard of quality. Requirements 3+ years of professional UI/UX, Product Design, or Digital Product Design experience. A strong portfolio demonstrating UI/UX projects and your design process. Advanced proficiency with Figma and modern design/prototyping tools. Strong understanding of UX principles, interaction design, information architecture, responsive design, and usability. Experience creating wireframes, prototypes, user journeys, and high-fidelity interfaces. Experience working with design systems and component libraries. Ability to clearly communicate and explain design decisions to both technical and non-technical stakeholders. Strong attention to detail and visual design skills. Comfortable working independently in a remote, collaborative environment. Excellent written and verbal English communication skills. Nice to Have Experience designing SaaS or technology products. Experience working with startups or fast-paced product teams. Knowledge of accessibility and WCAG principles. Familiarity with basic HTML/CSS and front-end development concepts. Experience conducting user interviews, usability tests, or other UX research. Benefits 🌎 Fully remote role – work from anywhere with a stable internet connection 🚀 Work with high-growth startups and global tech companies 📈 Career growth opportunities with international teams and innovative products 🎨 Work on impactful digital products used by customers around the world 🤝 Collaborative remote culture with structured onboarding and support

Location: Lagos, Nigeria Who We Are We’re a passionate team determined to challenge the status quo and make financial inclusion count for the millions of under-banked individuals and small business owners in Nigeria. We provide loans, savings, and fixed deposit solutions to our customers. Our vision is to be the most convenient lending company, delivering outstanding service experience. The Role Are you inherently curious about our customers? Do you constantly ask “why” behind the data? The Market Intelligence & Insights team is expanding, and we are looking for a highly analytical and customer-obsessed team member to join us as a Market Intelligence & Insights Analyst. In this role, you will work directly with the MI&I Manager to uncover the trends, behaviors, and competitive forces shaping the Nigerian fintech landscape. No prior formal market research experience is required. We will teach you the methodologies, tools, and science of research. What you need to bring is a deep understanding of the business, a passion for solving problems, and an eagerness to learn both quantitative (numbers-driven) and qualitative (people-driven) research. What You Will Do • Assist in the design, scripting, and deployment of customer surveys to measure satisfaction, product usage, and market trends • Help organize and eventually conduct customer interviews, focus groups, and usability tests to understand the “why” behind customer behaviors • Learn to analyze raw data, including survey results and internal metrics, to identify patterns and translate them into actionable insights • Monitor the Nigerian lending and fintech landscape to track competitor products, campaigns, and market positioning • Co-create visually engaging and easy-to-understand reports and presentations for cross-functional teams including Product, Marketing, and Management • Support end-to-end research projects that influence business decisions and strategy Requirements What You Bring Experience & Background • Experience in Customer Experience, Data Analytics, Product, Operations, or related areas is an advantage • Strong understanding of the company’s products, customer base, and operations • No prior formal market research experience is required Skills & Competencies • Insatiable curiosity and a strong desire to understand customer behaviour and market trends • Analytical empathy with the ability to connect data to real customer experiences • Strong written and verbal communication skills with the ability to simplify complex ideas • Strong business acumen and problem-solving ability • High attention to detail and strong organizational skills • Comfortable with basic data manipulation tools such as Excel or Google Sheets • Eagerness to learn quantitative and qualitative research methodologies This Role Is Ideal for You If: • You enjoy asking questions and uncovering insights behind customer behaviour • You are analytical but also customer-focused • You enjoy learning and developing new strategic skills • You are excited about influencing business decisions through research and insights You May Not Enjoy This Role If: • You prefer routine work without exploration or analysis • You struggle with interpreting data or identifying patterns • You are uncomfortable communicating insights or presenting findings • You are not interested in understanding customer behaviour or market dynamics Benefits What’s In It For You: • Opportunity to transition into a strategic, insight-driven role within the business • Hands-on mentorship and exposure to market research methodologies • Opportunity to build highly valuable skills in consumer psychology, data analysis, and market strategy • Exposure to cross-functional teams and business decision-making processes • The chance to directly influence future products, campaigns, and customer experience initiatives • Competitive compensation and growth opportunities within a fast-paced fintech environment

Задачи: — Разработка и развитие backend-сервисов на Python (FastAPI, Django, Flask) в микросервисной архитектуре. — Проектирование и реализация REST API, проработка контрактов, версионирование API и интеграций. — Работа с данными: проектирование схемы, оптимизация запросов, миграции в PostgreSQL (SQLAlchemy, Alembic). — Интеграция с очередями сообщений и кэшами: RabbitMQ, Redis — очереди, pub/sub, кэширование. — Участие в архитектурных решениях, оптимизация производительности сервисов (asyncio, concurrency, кэширование). — Написание unit- и integration-тестов (pytest), участие в code review. — Участие в CI/CD-процессах: Docker, docker-compose, GitLab CI/GitHub Actions, базовое понимание Kubernetes. — Взаимодействие с командами разработки, DevOps, аналитиками и бизнес-стейкхолдерами. Требования: — Коммерческий опыт разработки на Python от 3 лет, уровень Middle+ / Senior. — Уверенное владение Python 3.10+: typing, asyncio, concurrency patterns, структуры данных. — Глубокое знание веб-фреймворков: FastAPI, Django (DRF), Flask — опыт построения REST API в production. — Опыт работы с PostgreSQL: схема, сложные запросы, оптимизация, индексы, транзакции, isolation levels. — Уверенная работа с ORM (SQLAlchemy, Django ORM) и миграциями (Alembic, Django migrations). — Опыт работы с очередями сообщений и кэшами: RabbitMQ, Redis — очереди, pub/sub, кэширование, сессии. — Понимание принципов микросервисной архитектуры и распределённых систем: service discovery, circuit breaker, rate limiting, observability. — Опыт работы с Docker, docker-compose, CI/CD (GitLab CI, GitHub Actions), базовое понимание Kubernetes. — Опыт написания unit- и integration-тестов (pytest), участие в code review. — Умение работать автономно, брать задачу целиком и доводить до результата. — Умение переводить бизнес-требования в технические решения и аргументировать свой выбор. Будет плюсом: — Глубокое понимание asyncio, async I/O, concurrency моделей (aiohttp, FastAPI async, TaskGroup). — Опыт разработки высоконагруженных и/или low-latency систем: connection pooling, uvloop, кэширование. — Опыт работы с gRPC, WebSockets, Elasticsearch, Celery/Arq/Dramatiq для фоновых задач. — Практика работы с Kubernetes, Helm, мониторинг (Prometheus, Grafana), логирование (ELK). — Знание паттернов DDD, CQRS, Event Sourcing, опыт работы с event-driven архитектурами. — Английский язык для работы с зарубежной документацией, командами и стейкхолдерами (для европейских и американских проектов нужен уровень B2+). Условия: — Заработная плата на уровне middle+ / senior, вилка для middle 100 000 - 180 000 рублей в месяц. Процесс: — Короткое общение с рекрутером. — Техническое интервью / TechCertify-скрининг. — Передача на подходящие проекты клиентам.

Location: London, England; Dublin Workplace: hybrid About us   Aave Labs began with a simple question: how do we make financial services like borrowing, saving, and earning more accessible globally?   We built the Aave Protocol, now the world’s largest and most trusted onchain lending market, connecting decentralized finance with individuals, traditional finance, and fintech.   Today, we build trusted, high-quality products that expand access to lending, credit, and savings globally   Our culture   We build trusted products that help people access and discover economic opportunities.   We hold a high bar for quality and craftsmanship. No detail is too small. Trust depends on it.   We’re a global team building products people can actually use, turning complex technology into something simple and reliable.   We stay aligned, move quickly, and think long term, while keeping teams lean and focused on impact.   About the Role We're hiring a Principal Backend Engineer to lead the engineering team behind Push, Aave Labs' regulated, non-custodial on-ramp and off-ramp. This is a hands-on technical leadership role spanning the systems that connect banking and open-banking partners, identity and compliance controls, payment processing, blockchain settlement, customer wallets, and the applications through which customers access Push. You'll set the technical direction for a high-stakes financial product where correctness, security, auditability, and operational resilience directly affect customer funds and regulatory obligations. Alongside designing and building critical systems, you'll provide day-to-day leadership to the engineering team, create clarity from product and regulatory requirements, and ensure the team can deliver safely at pace. How you can make an impact: Own the technical direction and architecture for Push across backend services, external integrations, data flows, and onchain settlement Translate product, regulatory, and operational requirements into a clear engineering roadmap, well-scoped projects, and sound technical decisions Design and build resilient services for on-ramp and off-ramp transaction lifecycles, including payment initiation, status tracking, settlement, exception handling, and customer notifications Lead integrations with open-banking, payments, identity, compliance, and blockchain infrastructure providers Define secure boundaries between fiat systems, non-custodial wallets, and onchain execution, ensuring sensitive data, permissions, and signing-related flows are handled appropriately Set and uphold standards for secure development, architecture review, testing, observability, incident response, deployment, and sustainable on-call ownership Partner closely with Product, Compliance, Legal, Security, Operations, Finance, and application engineers Remain hands-on in the codebase, particularly for complex architecture, high-risk changes, and critical production issues Let's connect if you have: 8+ years of backend engineering experience, including senior technical leadership of production systems and teams Experience designing distributed, event-driven systems that move or account for real money, with a strong understanding of failure modes and operational risk Experience with regulated financial products and understanding how to balance compliance and regulatory requirements with product features and goals Strong backend programming skills. Production experience with Rust is highly desirable; deep experience with Go, Java, C++ can substitute Strong knowledge of API design, PostgreSQL or another relational database, messaging systems, and service-to-service integration patterns Experience in regulated fintech, payments, banking, digital assets, or another environment requiring auditability, controls, and high availability Excellent system-design judgement, including migration strategy, build-versus-buy decisions, security boundaries, and the long-term operational cost of architecture choices A track record of leading engineers through ambiguous, high-impact work while remaining close to implementation and production operations Haven’t quite met all the criteria? Let’s not miss out on the chance to speak. Whilst you might not meet every single requirement, you might bring other, more exciting skills to the companies!   Equal opportunities statement:   Aave Labs celebrates diversity and views each and every team member as a separate individual with their own unique identity. No matter your race, religion, gender, ethnicity, age, disability, sexual orientation or even the wallet you use, we welcome you at Aave Labs. As an equal opportunities employer, we take accountability and believe in everyone's potential to build, create and inspire changes. With a mission to build a diverse workforce, we are proud to foster a working environment in which everyone can feel safe and valued for who they are.

Location: Mexico City SOLUTIONS ARCHITECT | LATAM Our Solutions Architecture team connects business priorities with practical technical solutions, helping customers understand how Chainalysis can support their most important objectives. In this role, you will provide technical leadership throughout the customer journey. You will turn complex requirements into clear recommendations, help customers envision how our products fit into their operating environment, and guide them toward measurable business outcomes. As a Solutions Architect, you'll develop a deep understanding of Chainalysis solutions and the problems our customers are trying to solve. You'll explain complex concepts in a clear, compelling way to technical practitioners, business leaders, and executive stakeholders. You'll also build practical, customer-specific solutions that support deployment, integration, adoption, and long-term value. In this role, you'll: - Serve as a core member of the account team, partnering closely with Sales, Services, Customer Success, Product, and Engineering. - Take ownership of customer outcomes across the full lifecycle, from initial discovery and solution design through investigation support, compliance program delivery, deployment, enablement, adoption, and expansion. - Lead discovery conversations that uncover customer objectives, operational pain points, use cases, technical constraints, and success criteria. - Translate business and operational needs into clear technical requirements, solution designs, and implementation paths. - Articulate Chainalysis capabilities in a way that is relevant to each customer's compliance, risk, fraud, investigations, or security environment. - Create tailored demonstrations, proof-of-value experiences, and technical narratives that show how Chainalysis can address customer priorities. - Conduct blockchain investigations, deliver compliance and regulatory guidance, and build technical solutions such as notebooks, dashboards, automation workflows, data integrations, reference architectures, and agentic workflows. - Develop AI-assisted workflows that accelerate and automate investigations, analysis, and customer processes, adapted to each customer's operating model, data, controls, and risk framework. - Design automation that fits into existing compliance, risk, fraud, investigations, or security operations rather than requiring customers to redesign how they work. - Help customers access and operationalize Chainalysis data through APIs, integrations, and fit-for-purpose technical patterns. - Provide guidance on solution architecture, API implementation, workflow design, data movement, and integration considerations. - Drive platform adoption by connecting customer workflows to Chainalysis capabilities and identifying new use cases. - Identify creative, responsible approaches to difficult customer problems, while balancing speed, scalability, security, maintainability, and measurable impact. - Build trust through sound technical judgment, clear communication, reliable execution, and a strong understanding of the customer's business. - Assemble the technical evidence base, including outcome data, consumption metrics, adoption analysis, and expansion signals, that supports quarterly impact reporting and renewal conversations. - Build customer capability and self-sufficiency rather than creating ongoing dependence on the Solutions Architecture team. - Own the feedback loop between customers and Product/Engineering, translating field insights and feature requirements into product improvements and bringing those improvements back to customers. - Act as a trusted advisor to customers, meeting them at their current level of crypto-maturity and partnering with them to advance their understanding, processes, and outcomes. - Represent Chainalysis at customer meetings, industry events, and conferences. - Contribute to the wider Solutions Architecture team through reusable assets, knowledge sharing, internal initiatives, and better ways of working. We're looking for candidates who have: - Several years of experience in one or more relevant areas, such as financial services, compliance, investigations, fraud, cybersecurity, digital assets, transaction monitoring, sales engineering, solutions architecture, or enterprise product management. - Experience making complex technical or operational concepts understandable to different audiences. - Strong storytelling, presentation, and written communication skills, with the ability to engage both technical teams and executive stakeholders. - A creative, structured, and investigative approach to solving challenging customer problems. - Comfort working with technical tools and learning new technologies quickly. Experience with Python or another programming language, SQL, data analysis, notebooks, workflow automation, APIs, integrations, or AI tools is valuable. - The curiosity and initiative to develop technical depth over time; you do not need to arrive with a complete technical stack, but you should enjoy investigating how things work and building the skills to solve new problems. - The ability to operate effectively when requirements are ambiguous, information is incomplete, or the best path forward has not yet been defined. - A collaborative, generous approach to working with others, including a willingness to share knowledge, seek input, and improve team practices. - A demonstrated focus on measurable customer outcomes, not simply technical activity or product usage. - An interest in blockchain and a desire to keep building your understanding of the technology, the market, and the customers we serve. AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Location: Toronto, Ontario Workplace: Hybrid Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. 🚀 THE ADVENTURE AHEAD As our Technical Product Manager for Platform & Integrations, you are the architect of Docebo’s extensibility, transforming our ecosystem into a developer’s playground. Your mission is to bridge the gap between complex engineering infrastructure and tangible business value, ensuring our REST APIs, webhooks, and Connect tools are world-class. By scanning the horizon for emerging standards and defining opinionated interoperability patterns, you will empower global enterprises to build seamless, high-impact integrations that define the future of learning technology. 🛠️ THE DAY-TO-DAY - API and Platform Strategy: Own Docebo’s external API roadmap, from schema design principles and versioning policies to championing patterns that ensure long-term, scalable extensibility. - Connect and Integration Tooling: Lead the Docebo Connect (Workato IPaaS OEM) product vision by managing the low-code workflow builder and blueprint library, while evaluating high-value partner contribution programs. - Developer Experience: Obsess over the end-to-end developer journey, tracking DX metrics and conducting deep-dive research to eliminate friction before it ever turns into churn. - Measure the Impact: Define the "North Star" for platform success by building dashboards that track API adoption, integration attach rates, and direct revenue contribution for executive stakeholders. - Navigate the Tech: Conduct high-level technical research on iPaaS and integration standards to make "build-buy-partner" recommendations that keep us ahead of the competition. - Field Enablement and GTM: Partner with Marketing and Sales to translate technical capabilities into winning GTM strategies, acting as the technical authority in high-stakes enterprise deal cycles. - Govern the Ecosystem: Establish the gold standard for how partners build on Docebo, publishing comprehensive integration guides that ensure security, reliability, and commercial viability. ⚡ YOUR SUPERPOWERS - Speak Fluent API: You can design a REST API and write an OpenAPI spec in your sleep, confidently debating webhook reliability and event-driven sync with our engineering leads. - Decode the Codebase: You are comfortable diving into production code to trace API calls or review pull requests, understanding exactly how implementation choices impact the product's future. - Think Like a Platform: You possess strong, well-reasoned opinions on what "good" design looks like and aren't afraid to defend your vision to both developers and the C-suite. - Data-Driven Intuition: You define success metrics before a single line of code is written, using platform health data to influence high-level prioritization and investment. - Developer Empathy: Having built with APIs yourself, you view documentation gaps as personal challenges and treat developer friction points as high-priority product bugs. - Proven Experience: You bring 4+ years of B2B SaaS Product Management experience, specifically focused on APIs, SDKs, or iPaaS, ideally with a background in software engineering or solutions architecture. - Integration Expertise: You have a deep mastery of OAuth 2.0, SAML, SCIM, and middleware categories, with a proven track record of connecting platform health to commercial outcomes. OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing. OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul. OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long. ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world. Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Senior or Staff Backend Engineer with the Database Excellence group , you'll build and evolve database automation and PostgreSQL as a service capabilities for GitLab. The level will be determined during the hiring process. You'll use Go to automate the full lifecycle of PostgreSQL across GitLab's infrastructure, making database operations safer, more consistent, and easier to scale for databases that sit behind high-throughput, always-on internet services. You'll work closely with partner teams to shape how GitLab provisions and manages PostgreSQL in a fully remote, highly collaborative environment. Some examples of our projects: SQL Traffic Replay Tooling , which validates upgrades and changes against real production workloads. PostgreSQL as a Service Platform , which provides standardized, automated provisioning and lifecycle management for internal product databases. PostgreSQL Major Version Upgrade Automation , which supports safe, repeatable major upgrades at GitLab.com scale. What you’ll do Design, build, and maintain Go-based automation that manages the full PostgreSQL lifecycle, including provisioning, configuration, upgrades, failover, scaling, and decommissioning, reducing reactive operational work that currently takes more than 80% of the team's time. Build automation that works across infrastructure-as-code tooling and cloud infrastructure, and evaluate operator-based approaches as the platform evolves. Use AI agents as a regular part of building and operating services, including implementation, review, and reducing repetitive work, while keeping the context agents need in the repository so the whole team can build on it. Build for internet scale by designing automation and services for high-throughput, always-on production workloads, where GitLab.com traffic sets the bar for correctness, latency, and availability. Integrate compute, storage, networking, identity and access management, and managed data services across cloud providers into one coherent PostgreSQL platform instead of creating bespoke setups for each database. Build GitLab's PostgreSQL as a service platform to replace bespoke database setups with standardized, automated provisioning and lifecycle management, so supporting more databases doesn't require growing the operations team at the same rate. Collaborate closely with product management, infrastructure, software delivery, and other engineering teams to design and ship high-performing solutions. Research, design, and implement improvements to PostgreSQL performance, scalability, and data health, helping maintain more than 8 months of operational runway for all critical database saturation points. Review database automation and Go changes from other engineers and contributors, with attention to safety, maintainability, and performance. Document automation practices, PostgreSQL operational patterns, and guidance that helps engineers use and contribute to the platform. Build safe, repeatable automation for PostgreSQL major version upgrades at GitLab.com scale, validating changes against real production traffic before rollout. Operate what you build in production from end to end, using production feedback to guide each iteration. Take part in on-call or operational support where your team’s ownership model requires it. What you’ll bring Professional software engineering experience working with PostgreSQL in large, complex production environments, including experience building or operating a database-as-a-service product. Proficiency with Go, including designing, implementing, testing, and reviewing backend services. Experience developing Kubernetes operators, controllers, or similar automation for the lifecycle of stateful services, especially databases. Kubernetes experience is one way to demonstrate this skill, but isn't required; comparable experience building database or infrastructure automation is welcome. Comfort with infrastructure as code and core database operations concepts such as high availability, replication, backups, and system-level performance trade-offs. Familiarity with Ruby is a plus but isn't required. Much of GitLab's application codebase uses Ruby on Rails, and being able to read it helps when designing automation that application teams depend on. We’ll expect you to become comfortable with it on the job, not on day one. Strong written communication skills and comfort working asynchronously in an all-remote, distributed team. Self-directed work style with effective organizational skills, the ability to manage priorities as a "manager of one," and alignment with GitLab's values of transparency, collaboration, inclusion, and open source contribution, as well as its operating principles . Ownership of the technical direction for a major initiative such as the PostgreSQL as a service platform, turning an ambiguous problem into an architecture and a sequenced plan that several engineers can execute in parallel. Influence beyond the team, setting the patterns other engineers follow, partnering with sibling database, infrastructure, and platform teams, and growing engineers through design reviews and mentorship. About the team The Database Excellence group keeps GitLab’s databases running reliably through proactive health management, operational excellence, and strategic enablement. We maintain operational runway by identifying and addressing saturation points, operate infrastructure through automated and scalable processes, and provide tools and frameworks that help teams build features sustainably. Our primary focus is GitLab.com, and we're expanding our scope to provide database health frameworks and tooling that benefit self-managed customers as well. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $152,800 — $259,200 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .