Hi, we’re Gravie. Our mission is to create health benefits that actually benefit small and midsize businesses and their employees. Our innovative benefit solutions and services are developed and delivered by a diverse group of unique people. We encourage you to be your authentic self - we like you that way. A Little More About The role: We’re looking for an AI Test Automation Engineer who will own the design and development of AI-driven test automation systems across our product portals. Rather than manually writing test cases, you will build the frameworks, feedback loops, and infrastructure that enable AI tools to generate, execute, and maintain automated tests at scale. You will work closely with our QA, Engineering, and Product teams to dramatically increase our automated regression coverage, accelerate delivery timelines, and reduce the risk of defects reaching production. You will: - Design and build AI-driven test automation workflows using tools like Claude Code, where AI agents generate, execute, and iterate on Playwright tests with minimal human intervention. Your primary job is building the system, not writing individual tests. - Architect a Playwright test framework from scratch, establishing patterns, page-object models, fixtures, and conventions that are optimized for AI-assisted test generation. The framework should be structured so that AI tools can reliably produce correct, maintainable tests. - Build tight feedback loops between local test execution, CI pipeline results, and merge request creation, so AI agents can run tests, interpret failures, fix issues, and resubmit with minimal manual intervention. - Audit the existing Geb/Spock/Groovy test suites across three portals (Member, Employer/Broker, Admin) and classify each test into one of three categories: convert to Playwright, convert to an API or unit test, or delete (legacy functionality no longer in use). - Lead the migration from Geb/Spock to Playwright, using AI agents to accelerate conversion at scale while maintaining coverage continuity. - Integrate Playwright test execution into GitLab CI/CD pipelines with automated quality gates on every merge request and deployment. Optimize for fast feedback through parallelization and caching strategies. - Instrument tests with reporting on pass/fail trends, flakiness rates, and coverage gaps. Use this data to prioritize AI-driven test generation toward the highest-value uncovered areas. - Identify scenarios where end-to-end Playwright tests are not the right tool and implement API-layer automation or contract tests for microservice boundaries instead. - Continuously improve the AI automation workflow by refining prompts, context structures, and validation patterns to increase the percentage of tests that AI generates correctly on the first pass. You bring: - 5+ years of experience in test automation engineering, SDET, or software engineering with strong testing practices. - Demonstrated experience using AI coding tools (Claude Code, Cursor, GitHub Copilot, or similar) to generate and maintain code at scale. This is not optional; we need someone who has already built workflows around AI-assisted development. - Hands-on experience with Playwright or a comparable modern end-to-end testing framework. Experience building a framework from scratch is strongly preferred. - Proficiency in TypeScript or JavaScript with the ability to write production-quality code. - Experience with CI/CD pipelines (GitLab preferred), including writing pipeline configuration, test stages, and merge request workflows. - Solid understanding of REST API testing and when to use API-level tests vs. UI-level tests. - Experience migrating legacy test automation to a modern framework, including planning the transition and maintaining coverage during the migration. - Strong communication skills: able to explain technical trade-offs to non-technical stakeholders and write clear documentation. - A builder mindset. You think in terms of systems, feedback loops, and automation leverage, not individual test cases. - Comfort working in ambiguity. Our AI-driven approach is new, and the right person will help define what good looks like. Extra credit: - Experience with Groovy, Spock, or Geb (the legacy framework you will be migrating from). - Experience with contract testing (Pact or equivalent). - Background in health insurance, benefits administration, or regulated industries. - Experience building or contributing to internal developer tooling or productivity platforms. Gravie: In order to create a more equitable and sustainable future for employer-sponsored health insurance, we need talented people doing amazing work. In exchange, we offer a great overall employee experience with opportunities for career growth, meaningful mission-driven work, and an above average total rewards package. The salary range for this position is $124,271 - $207,118 annually. Numerous factors including, but not limited to, education, skills, work experience, certifications, etc. will be considered when determining compensation. I Our unique benefits program is the gravy, i.e., the special sauce that sets our compensation package apart. In addition to standard health and wellness benefits, Gravie’s package includes alternative medicine coverage, generous PTO, up to 16 weeks paid parental leave, paid holidays, a 401k program, transportation perks, education reimbursement, and paid paw-ternity leave. A Little More About Us: - We know healthcare. Our company was founded and is still led by industry veterans who have started and grown several market-leading companies in the space. - We have raised money from top tier investors who share the same long-term vision as we do of building an industry defining company that will endure over the long run. We are well capitalized. - Our clients love us. Customer satisfaction rates among employees using Gravie health plans consistently rank above 80% – nearly 40 points above the industry average. - Our culture is unique. We tend to be non-hierarchical, merit-driven, opinionated but kind people who thrive working in a high-performance, fast-paced environment. People at Gravie care deeply about making a positive impact in the lives of the people we serve. We may not be the right place for everybody, but if you get energized by doing work every day that focuses on putting consumers at the front of the line, we could be a great place for you. It takes unique people and diverse perspectives to deliver our results. We encourage you to be your authentic self – we like you that way.

Location: Remote (United Kingdom) Role Type: Full-time Employee About PlannerPal PlannerPal is an AI-workflow platform for modern financial advice and wealth management. We help financial advisers and wealth management firms save time, reduce administrative burden, and deliver better client outcomes by automating core adviser workflows, including meeting notes, client documentation, and CRM updates. By structuring insights from client meetings and documents and writing them back into adviser systems with full auditability and adviser control, PlannerPal improves data quality, supports consistent and compliant advice delivery, and enables firms to operate more efficiently at scale. PlannerPal is trusted by hundreds of UK advisory and wealth firms, collectively overseeing more than £150bn of client assets. We work with firms ranging from progressive regional practices to some of the UK’s largest wealth managers, and have recently signed multiple enterprise agreements with top UK wealth management firms, as well as a national adviser network, establishing PlannerPal as a trusted technology partner across the sector. PlannerPal integrates with multiple industry technology providers, including four leading UK adviser CRMs, and is the strategic AI partner of Iress Xplan. Through deep, bidirectional integrations, PlannerPal embeds directly into advisers’ existing workflows, ensuring strong adoption, governance, and enterprise-grade reliability. PlannerPal has been recognised by FT Adviser as one of the Top 3 AI tools for financial advisers in 2025, and is a winner of the FT Adviser Five Star Service Award 2025. Backed by venture capital investors and built by a team with deep expertise in financial services, technology, and AI, the company is scaling rapidly through strategic industry partnerships. This is an opportunity to join a fast-growing UK wealthtech company at a pivotal stage of growth, helping to make financial advice faster, smarter, and more scalable for advisers and their clients. Tasks Implementation Ownership & Delivery - Own end-to-end implementation of PlannerPal within enterprise clients - Lead complex onboarding programmes, including client migrations and novations - Act as the primary point of contact during implementation, accountable for timelines, delivery, and outcomes - Deliver a seamless “welcome to PlannerPal” experience, removing barriers to adoption Workflow & Process Transformation - Analyse existing adviser workflows and design improved, scalable processes using PlannerPal - Embed PlannerPal into client operating models, ensuring alignment with compliance and governance requirements - Support firms in standardising and optimising advice processes across teams Training & Enablement - Deliver training on the platform to external users, including advisers, paraplanners, and operations teams - Contribute to and deliver the webinar training programme - Develop enablement materials and best practices to support ongoing adoption Strategic & Commercial Support - Support new business opportunities by contributing to implementation planning and demonstrating value delivery - Work closely with Strategic Partnerships and Sales teams on enterprise deals and rollouts - Support key strategic partnerships, including involvement in new business and expansion initiatives Data, Insights & Optimisation - Use MI to analyse adviser platform usage and identify opportunities to improve adoption and outcomes - Provide actionable insights to clients on how to maximise value from PlannerPal - Continuously refine implementation playbooks based on client outcomes Product & Quality - Feed client insights into product development and roadmap discussions - Support QA testing of new features and releases to ensure enterprise readiness - Ensure platform outputs align with real-world adviser workflows and regulatory expectations Requirements Core Domain Knowledge Strong understanding of: - Suitability reports and advice documentation - End-to-end advice workflows and processes - Adviser–client interactions and meeting lifecycle - CRM systems used in financial advice, particularly Iress Xplan - FCA-regulated environments Experience - Experience in business process analysis, process improvement, or project delivery - Background in financial advice, paraplanning, adviser support, or wealth technology is strongly preferred - Experience owning client onboarding, implementation, or change management initiatives - Exposure to product pilots, trials, or early-stage rollouts within enterprise client environments - Experience working in a consultancy, implementation, or client-facing delivery role is a plus Desired Experience - Exposure to a start-up or scale-up environment - Experience working with AI tools or digital platforms - Familiarity with embedding new technology into existing operational workflows - Experience working with enterprise or large advice firms Skills & Attributes - Ability to quickly understand and adapt to different firms’ processes, structures, and requirements - Exceptional organisation, with the ability to manage multiple implementations, pilots, and clients simultaneously - Confidence running client calls, product demos, and training sessions - Strong attention to detail, particularly around documentation, data accuracy, and regulatory nuance - Commercial awareness and understanding of how successful implementation drives adoption, retention, and growth - Strong communication and presentation skills, both in-person and remote - Comfort operating in fast-moving, ambiguous environments where processes are still evolving Benefits - Competitive salary + pension + employee share options - Remote-first work environment (UK-based team) - Regular team meet-ups to foster collaboration and culture - Transparent, open environment where your voice is valued - Opportunity to grow into senior roles as we scale - Fast-growing start-up environment We’re a UK-based, remote-first team guided by principles that shape how we work together and with our customers: - Celebrate Individuals, Build as a Team - Focus on Foresight, Not Just Speed - Be Human, Not Perfect - Feedback is a Gift - Believe in Each Other - Grow Together - Build with Boldness - Customers First, Always Why Join Us? You won’t just support users - you’ll help transform how financial advice is delivered. As part of a tight-knit, ambitious team in a period of rapid growth, your work will directly shape the future of financial planning in the UK. If this sounds like the kind of environment where you’d thrive, we’d love to hear from you. Interested? Send your CV, along with a short note on why you’re excited about our mission and your relevant experience. We review every application carefully.

• Analyze business processes and identify AI opportunities • Design scalable AI architectures • Develop end-to-end use cases—from PoC to production • Define and own architectures for modern AI systems • Establish best practices for MLOps / LLMOps • Ensure scalability, security, and performance of AI solutions • Integrate LLMs and ML models into existing enterprise landscapes • Enable business units to effectively adopt and use AI • Drive transformation and change initiatives • Implement monitoring, drift detection, and retraining mechanisms • Ensure reliable and efficient operation of production AI systems • Build and grow an AI-focused team • Support presales, proposals, and client presentations

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: - Generate prompts that challenge AI; - Evaluate AI-generated solutions for correctness, assumptions, and logic; - Improve AI reasoning to align with first principles and accepted standards; - Apply structured scoring criteria to assess multi-step problem solving. What we look for This opportunity is a good fit for legal consultants, attorneys with an experience in US law open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in law (Bachelor, J.D., LLM, FLLM) within the US context - 2+ years of legal practice experience within US jurisdiction - Strong written English (C1/C2) - Stable internet connection  How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $75 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.