{"id":3037662,"url":"https://alion.io/job/clera-mid-level-product-engineer-3","title":"Mid-Level Product Engineer","company":{"id":2706,"name":"Clera","domain":"getclera.com","url":"https://alion.io/company/clera","size_band":"11-50","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":80,"open_postings":30,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":6,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Backend","role_family":"Backend","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":150000,"max":300000,"currency":"USD","period":"year","gross":null,"usd_annual":300000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"GCP","optional":false},{"name":"LLM","optional":false},{"name":"Next.js","optional":false},{"name":"Node JS","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"TypeScript","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-10-21T17:26:40Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-28T20:32:15Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"About the Role\nJoin an early-stage AI recruiting technology team as a full-stack Product Engineer. You will build reliable, user-focused products that incorporate AI capabilities and sound infrastructure, while helping shape technical direction as the company grows.\nWhat You'll Do\nOwn product features end to end, from scoping requirements through production deployment.\n\nDesign APIs and data models, and build frontend and backend functionality.\n\nShip user-facing experiences, then improve them using feedback and product metrics.\n\nIntegrate AI and large language model services into product workflows with a focus on reliability.\n\nBuild scalable backend services, data schemas, and operational tooling for testing, monitoring, and deployment.\n\nWork with product and design partners to prioritize work, define success measures, and make practical architecture and roadmap decisions.\n\nWhat We're Looking For\nTwo to eight years of software engineering experience, including delivery of shipped user-facing products.\n\nProduction full-stack experience with TypeScript and React or Next.js, plus backend development in Python or Node.js.\n\nExperience with PostgreSQL and AWS or GCP.\n\nPractical experience integrating AI or LLM services into production applications.\n\nBackend-heavy product engineering experience, strong product judgment, and ownership of work from problem definition through delivery.\n\nComfort working in small, fast-moving teams with ambiguity and shifting between frontend, backend, and infrastructure work.\n\nExperience with multi-tenant, enterprise-ready, real-time, or high-throughput systems is valuable, as is work in regulated industries or on complex internal tools.\n\nCompensation & Benefits\nBase salary: $150,000 to $300,000 USD annually. 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