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Product Engineer, Tech Ops

Advocate

Overview About Advocate Advocate (joinadvocate.com) is transforming how Americans access government benefits. Our mission is to drive the time between need and relief down to zero. We combine proprietary AI-powered technology with expert human care and compassion to provide an unparalleled experience for claimants and to reduce administrative burdens for government partners. We’ve proven our cutting-edge AI technology works. We are now focused on scaling the distribution of our offering and the operations that support it. This is a unique challenge that requires a combination of high-tech precision and human-centered support. Tech Ops at Advocate At Advocate, the Tech Ops team is the connective tissue of the organization. We sit at the intersection of technology, marketing, and operations, ensuring these functions remain synchronized as we scale. We are not an IT support desk; we are front-line builders who work alongside internal users who interact with claimants. Our mandate is twofold: Short-Term Agility: We keep the lights on and the systems humming. When roadblocks appear in production, we patch them to ensure our team can continue serving claimants without friction. Long-Term Scalability: We observe patterns, recognize recurring operational challenges, and build scalable technology solutions to eliminate these hurdles for good. Tech Ops serves at the pleasure of those serving our claimants, empowering them to do their best work every day while contributing to our mission to drive time-to-relief down to zero. The Opportunity We are hiring for two Product Engineers to join our Tech Ops team. If you join us, these are some of the projects you will likely own: The End-to-End Journey Workbench. Building a centralized internal workbench to visualize the claimant journey from the first ad click to final case closure. You will build connectivity and insights to track onboarding steps, Social Security submissions, case data updates, medical events, and communication touchpoints. This platform will reveal where pipelines fail, where they succeed, and what the user experience feels like across the lifecycle. Building the External Claimant Portal. Create a portal for claimants to pull real-time case status, submit medical evidence from providers, and receive critical updates. You could own this build from architectural design to user adoption. Engineering the Growth Engine. Scale marketing operations by building data warehouse pipelines to trigger outbound communications (Iterable), integrate with PPC platforms (Google, Meta, Microsoft) for conversion tracking, and ensure robust attribution models. You will bridge engineering and the growth team. AI-Driven Developer Velocity. Turn "I see something" into "We did something" faster by building a pipeline that uses Slack change requests and LLMs with repository context to automatically open a Pull Request for engineer review, reducing the distance between feedback and production fixes. Front-Line Firefighting & System Resilience. Maintain high availability while balancing short-term fixes with long-term stability. You will handle production fires and refactor systems to prevent recurrence. Next-Gen Platform Migration. Lead migration and integration of the current tech stack onto a new architecture to support government benefits (e.g., Veterans’ affairs) with zero downtime for active operations. Operational Digitization & Automation. Digitize and automate physical mail processing, automate complex government forms, and establish deep observability to create a single source of truth for data. Requirements We operate as a high-leverage, specialized unit. We are a small team of A-players who value excellence, high availability, and bias for action. We don’t just maintain systems; we are force multipliers for the organization. Extreme Ownership. Proactive drivers who own projects from inception to production success. You take responsibility for ongoing success, including opex, user adoption, and long-term stability. User-Obsessed Iteration. Build relationships with users, gather feedback, and translate it into what they actually need. Treat user feedback and system data as your north star. Observability over Guesswork. Bake deep observability into every system so data drives the roadmap. Make health and behavior visible to improve decision-making and enable confident progress. Massive Imperfect Action. Ship MVPs quickly and iterate, rather than waiting for perfection. Optimistic Problem Solvers. Stay collaborative and productive under pressure, shipping solutions to hard problems. The "Camera On" Mindset. Be part of a highly collaborative, communicative team with constant transparency. Technical Excellence in the Age of AI. Emphasize scalable, maintainable, observable systems with solid architectural oversight. The Support-Build Balance. Maintain a healthy codebase and refactor as we grow, balancing new builds with ongoing support. Trust and Feedback over Process. Value autonomy, give and receive direct feedback, and push forward based on intuition and data. Tech Stack Full-stack (TypeScript): TypeScript, React, Next.js, Nx, Node.js, GraphQL; Data: PostgreSQL, TypeORM, Redis; Infrastructure: AWS, Terraform, Docker; Integrations: Salesforce, Zendesk; Marketing: Customer.io or Iterable, Webflow, paid ads (Google, Meta, Microsoft); AI: LLM integration in production; Quality & observability: Sentry, PostHog, Playwright; Data/analytics: Python, Databricks. Benefits Comprehensive Health & Wellness: Medical, dental, and vision plans for you and your family, including $0 premium options and FSA/HSA accounts. Time to Recharge: 15 days of accrued PTO, 11 paid federal holidays, and dedicated sick leave. Family-First Support: 8 weeks of paid parental leave for all parents, plus 2 weeks flex time transition. Professional Growth: $500 annual learning stipend and 2 Growth Days per year. Flexible Remote Culture: Work from anywhere; Slack and Gather for connection; in-person team offsites up to six times per year. Compensation & Ownership: Market-competitive salaries with performance-based raises and equity grants. Interview Process Application: Tech Ops reviews your application for alignment with our needs. Culture Interview: 45-minute video call with Kyle, Head of Tech Ops. Technical Interview: 75-minute video call with Kyle and Min; you’ll select a problem statement and walk through user interviews, requirements, tradeoffs, and architecture. Company Interview: 30-minute video call with our CTO, Charley. Offer: If there’s a match, we’ll extend an offer. We may use artificial intelligence (AI) tools to support parts of the hiring process. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are made by humans. For information about data processing, contact us. #J-18808-Ljbffr Advocate

Vacancy posted 1 day ago
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