{"id":745153,"url":"https://alion.io/job/productgenius-backend-engineer","title":"Backend Engineer","company":{"id":691075,"name":"ProductGenius","domain":"productgenius.ai","url":"https://alion.io/company/productgenius","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":{"label":"EST","utc_offset_min":-5,"utc_offset_max":-5},"hiring_geo_confidence":"inferred","locations":["Boston, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":165000,"max":190000,"currency":"USD","period":"year","gross":null,"usd_annual":190000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"ClickHouse","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-08-27T13:30:05Z","employer_posted_date":"2026-08-27","last_verified_at":"2026-10-13T05:05:23Z","board_verified":true,"closed_at":null,"days_open":46,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":46},"description":"Role: Backend Engineer \nLocation: Fully Remote (Headquarters in Boston, MA)\nWorking Hours: 9-5 EST\nOnsite: Travel every 8-10 weeks for a multi-day onsite\nJoin Us\nAt Product Genius, we don't tell people what to do-we give them the strategic information to make great decisions on their own. We are generous with one another and committed to creating a collaborative, autonomous environment.\nWe are a seed-stage startup with a proven product, customers, and leap-frog real-time learning AI technology ($35M DARPA R&D, patented). We tackle challenging problems, building new systems from scratch and scaling our architecture. Join us and grow with our company.\nOur Team\nThis is an opportunity to join a high-growth, seed-stage AI startup founded by experts in the field (Ben Vigoda, Steve Papa), with patented, leap-frog real-time learning AI technology. You'll work closely with exceptional AI researchers and software engineers, with the autonomy to make high-impact, strategic decisions that shape our core architecture.\nThe Role\nYou'll build and maintain the backend systems at the core of a real-time learning AI: the APIs and data pipelines that connect live user and merchant behavior to systems that learn from it. You'll work alongside exceptional AI researchers and engineers, with real autonomy to shape how that architecture evolves.\nThis is a hands-on, AI-native engineering role. You'll need to subscribe to agentic-led development. You'll use agentic coding tools daily, including managing multiple parallel coding sessions, to move quickly through a complex and fast-changing codebase. You'll be trusted with context and the freedom to decide how to use it, not handed a task list.\nWhat You'll Own\nReal-time learning engine. Contribute directly to the systems at the core of the business.\n\nAPIs and data pipelines. Build and maintain the connections between live user behavior and our self-learning systems.\n\nEngineering practices. Champion practices that safely accelerate the team: AI-assisted coding, streamlined CI/CD, and stronger QA.\n\nProduction ownership. Own what you ship. Dig into logs and traces, find root causes, and improve testing to prevent issues before they recur.\n\nWhat We're Looking For\n5+ years of experience building and maintaining production backend systems.\n\nHands-on daily experience with agentic AI coding tools, comfortable managing multiple parallel sessions.\n\nExperience building APIs and data pipelines connecting live systems to downstream analytics or ML systems.\n\nComfortable picking up any language; we typically use Python, SQL, TypeScript, and React.\n\nAble to jump into a complex, unfamiliar codebase and rapidly get productive in it.\n\nCollaborative at the level of shared context and problem framing; self-sufficient at the level of code.\n\nStrong math or analytical background. Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent experience.\n\nStrong Plus\nYou're the person who spins up a newly released tool or framework just to see what's possible.\n\nYou've run an LLM on your local machine for fun.\n\nExposure to containerization and orchestration tooling (Docker, Kubernetes, Terraform, GCP).\n\nExperience with ClickHouse queries and optimization.\n\nComfortable in a fast-moving startup environment where priorities and scope can shift quickly.\n\nE-commerce industry knowledge or empathy-you understand merchant and customer workflows.\n\nExperience collaborating cross-functionally with teams like sales and marketing, including hands-on customer integrations.\n\nWhat This Is Not\nThis isn't a role where tasks arrive fully specified and you execute against a spec. If you want detailed direction before you start, or you'd rather use one AI coding session at a time and review its output line by line forever, this probably isn't the right fit. If you want real ownership over pieces of core infrastructure, the opportunity to contribute to big-picture implementation decisions, and a team that shares context instead of tickets, we'd love to talk.\nCompensation & Benefits\nCompetitive salary plus stock options.\n\nComprehensive health, dental, and vision insurance.\n\n401k with matching contributions.\n\nWork-at-home office reimbursement benefit.\n\nGenerous paid time off.\n\nEqual Opportunity Employer\nWe are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by applicable law. 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