{"id":2790762,"url":"https://alion.io/job/clera-founding-engineering-lead-3","title":"Founding Engineering Lead","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":"2026-10-23T05:54:15Z"}},"role":"Management","role_family":"Management","seniority":"lead","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["New York, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":200000,"max":400000,"currency":"USD","period":"year","gross":null,"usd_annual":400000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false}],"status":"live","first_seen_at":"2026-10-17T17:12:53Z","employer_posted_date":"2026-10-17","last_verified_at":"2026-10-23T04:14:49Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"About the Role\nJoin an early-stage B2B SaaS team as its hands-on engineering lead, shaping platform architecture and applied machine learning strategy alongside the technical founders. You will lead a small engineering pod while building and shipping critical product work, helping establish the technical foundation and practices for the team.\nWhat You'll Do\nLead a pod of three to four engineers, supporting their growth, performance, and hiring while remaining hands-on with key projects.\n\nOwn core platform architecture, infrastructure decisions, build-versus-buy choices, and cost considerations.\n\nSet engineering standards, code review criteria, release practices, definitions of done, and on-call policies.\n\nLead technical design and initial implementation for new initiatives.\n\nEvaluate applied machine learning approaches and distinguish techniques ready for production from those that are still speculative.\n\nPartner with the technical leadership team on product direction, model strategy, and the engineering roadmap.\n\nWhat We're Looking For\nTypically 5 to 8 years of engineering experience, with exceptional candidates who have 4 to 5 years also considered.\n\nExperience training and deploying machine learning models in production, beyond integrating third-party LLM APIs.\n\nEnd-to-end ownership of technical architecture, including infrastructure and build-versus-buy decisions.\n\nExperience setting engineering practices and holding a team accountable as a technical or people lead.\n\nRecent experience personally shipping software end-to-end, along with strong hands-on coding skills.\n\nApplied ML judgment across classical methods and newer approaches, plus experience using AI coding agents effectively.\n\nComfort working through ambiguity, existing code, and practical delivery challenges.\n\nCompensation & Benefits\nBase salary is $200,000 to $400,000 annually, with equity. 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