Job Title: Full-Stack Product Engineer (AI-Native) Location: Hybrid (must be able to come to office in Encino, CA 2-3 days per week) Type: Full-time (40-hour workweek) We’re hiring a product-minded full-stack engineer who can take a feature from a design/idea all the way to a shipped, monitored, iterated product. You’ll work across frontend + backend, make pragmatic product and technical tradeoffs, and use modern AI coding assistants (Claude Code/GitHub Copilot CLI/similar) to move faster — while staying fully accountable for correctness, security, and maintainability. This is not a “just implement tickets” role. You’ll own outcomes. What you’ll do: Own features end-to-end • Clarify the problem, ask the right questions, and define success metrics • Propose solution options with tradeoffs (scope/speed/quality) • Implement, ship, monitor, and iterate based on real usage Partner tightly with Design/Product • Turn designs into polished UI/UX; handle edge cases, loading/error states, and responsive behavior • Translate ambiguous requirements into a clear plan and incremental milestones Full-stack execution • Build and maintain frontend + backend components: UI, APIs, data models, workflows, integrations • Design clean, versionable API contracts (pagination, errors, auth, backwards compatibility) Work effectively in an event-driven/CQRS architecture • Respect boundaries, choose appropriate patterns, and keep systems evolvable • Handle idempotency, retries, and failure modes cleanly AI-assisted engineering (must be real, not buzzwords) • Use Claude Code / Copilot CLI / similar tools to speed up implementation, debugging, and codebase navigation • Stay in control: plan first, review diffs carefully, write tests, and verify behavior locally Local-first engineering • Run the stack locally end-to-end • Seed data, reproduce issues deterministically, and debug effectively • Improve developer experience (scripts, docs, environment reliability) Quality bar ownership • Write the right tests (unit/integration/e2e as appropriate) • Add logging/telemetry that makes production understandable • Prevent regressions and keep performance/reliability strong Code review excellence • Review PRs for correctness, security, performance, readability, and long-term maintainability • Give clear feedback and raise the bar without slowing the team down Pragmatic security mindset • Apply best practices for secrets handling, authn/authz, input validation, dependency hygiene, rate limiting, and secure defaults What we’re looking for (must-haves): • Proven end-to-end feature ownership in a real product (ship → monitor → iterate) • Strong product intuition: understands workflows, edge cases, success metrics, and tradeoffs; can make sensible product decisions when requirements are ambiguous • Full-stack capability: comfortable building both UI and backend services; experience designing APIs and evolving data models safely • Solid system design fundamentals: can reason about boundaries, modularity, maintainability, and operational impact • Real experience with AI coding assistants in daily development: hands-on with Claude Code or GitHub Copilot CLI or equivalent (Cursor, Codex, etc.); can explain your workflow (when you trust AI output, how you verify, and how you avoid regressions/security issues) • Ability to run and debug complex systems locally (not “works on my machine”) • Strong communication: breaks work into slices, documents decisions briefly, surfaces risk early, and keeps stakeholders updated • Must be available to come into headquarters (Encino, CA) at least once per month! Nice-to-haves: • Angular experience (or deep experience in another modern frontend framework + willingness to ramp fast) • .NET / C# experience (or strong backend experience + willingness to ramp fast) • Hands-on experience with event-driven systems / CQRS patterns • Experience working closely with QA in a structured handoff and feedback loop • Familiarity with observability tooling (structured logs, metrics, tracing) • Comfort experimenting quickly (“vibe coding”) paired with discipline (tests, reviews, safe rollouts) Compensation and Benefits: • $160K - $220K base salary • Bonus: Up to 10% of base (determined annually in December) • Healthcare: Medical, Dental, and Vision plan options • Retirement: 401(k) with up to 4% company match Perks: • High-impact role in a rapidly scaling AI company • Collaborative, product-focused team environment • Unlimited snacks, coffee, and more (if based in Los Angeles, CA) • Weekly team happy hours (if based in Los Angeles, CA) • Business trips and team-building events Ready to shape the future of AI-powered legaltech? APPLY NOW!