{"id":3980909,"url":"https://alion.io/job/clera-founding-engineering-lead-7","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":39,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":6,"computed_at":"2026-11-09T06:03:00Z"}},"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":"Machine Learning","optional":false}],"status":"live","first_seen_at":"2026-11-09T17:17:21Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-09T19:42:01Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About the Role\nLead hands-on engineering and applied machine learning at an early-stage B2B SaaS company. You will shape the platform architecture and technical roadmap with the founders while leading a small engineering pod.\nWhat You'll Do\nBuild and lead a pod of engineers, supporting their growth, performance, and hiring while shipping critical work yourself.\n\nOwn platform architecture and make build-versus-buy and infrastructure decisions.\n\nSet engineering standards, code review criteria, release practices, definitions of done, and on-call policies.\n\nLead technical design and initial implementation of new initiatives.\n\nAssess applied machine learning research and determine what is suitable for production systems.\n\nPartner with the CTO on product direction, model strategy, and machine learning approaches.\n\nWhat We're Looking For\nTypically 5 to 8 years of engineering experience, with exceptional candidates considered from 4 to 5 years.\n\nExperience in an AI-native company, with technical leadership or ownership that helped build and support an engineering team.\n\nHands-on experience training and deploying machine learning models in commercial production products, beyond integrating language model APIs.\n\nEnd-to-end ownership of technical architecture, infrastructure decisions, and engineering standards.\n\nRecent experience personally shipping production software, plus a record of stable engineering tenure.\n\nStrong applied machine learning judgment, including classical methods and current approaches to transformers and agent applications.\n\nComfort with ambiguity, inherited code, hands-on development, and AI-assisted engineering workflows.\n\nCompensation & Benefits\nBase salary: $200,000 to $400,000 annually. 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