{"id":"u951a30075","title":"Director, Enterprise Platform","posted_at":"2026-04-15T18:04:01.000Z","apply_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4202369009","locations":["San Francisco, CA"],"employment_type":"full_time","workplace_type":null,"seniority_level":"director","description_language":"en","source_name":"greenhouse","source_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4202369009","salary":{"min":232000,"max":346000,"currency":"USD","period":"year","display":"$232,000–$346,000"},"job_summary":"Lila Sciences is a scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. The Director, Enterprise Platform will build and lead an engineering team to develop foundational enterprise-ready systems, including authentication, multi-tenancy, and agentic AI-powered infrastructure.","job_description":{"responsibilities":["Recruit, develop, and lead a high-performing team of software engineers.","Define and execute the technical roadmap for enterprise platform capabilities including multi-tenancy, SSO, RBAC, billing, and auditability.","Drive adoption of agentic AI patterns to automate enterprise workflows.","Partner with product, design, security, and sales teams to prioritize the enterprise roadmap.","Ensure the reliability, availability, and security of enterprise-critical infrastructure.","Build developer experience as a first-class product concern."],"minimum_qualifications":["12+ years of software development experience with a focus on Enterprise SaaS.","5+ years of experience leading senior engineers.","Deep expertise in enterprise SaaS platform systems (OAuth 2.0, OIDC, SAML, multi-tenancy, RBAC, billing).","Experience with modern cloud-native architectures (Kubernetes, Terraform, AWS/GCP) and event-driven systems.","Hands-on coding experience in Python and modern backend frameworks (FastAPI, async Python).","BS, MS, or Ph.D. in Computer Science or a related field."],"preferred_qualifications":["Experience building a team from the ground up.","Familiarity with agentic AI patterns, LLM-powered automation, and tool-use architectures.","Experience with compliance frameworks such as SOC 2, HIPAA, GxP, FedRAMP, or ALCOA+.","Experience building self-service enterprise products.","Experience operating enterprise SaaS platforms serving 1000+ tenants."]},"visa_sponsorship":null,"experience_years_min":12,"job_address":null,"job_city":"San Francisco","job_state":"CA","job_country":"US","location_lat":42.3669523,"location_lng":-71.0775506,"keywords":["authentication","infrastructure","architectures","observability","qualification","architecture","stakeholder","competitive","engineering","mentorship","operations","enterprise","production","AI-powered","Kubernetes","automation","compliance","trade-offs","externally","analytics","reporting","Terraform","standards","discovery","workflows","strategy","referral","security","Platform","Flexible","roadmaps","customer","internal","external","leading","backend","agentic","privacy","develop","design","vision","Growth","Python","agents","teams","local","debug","Sales","speed","SaaS","data","APIs","API","SDK","MCP","GCP","AWS","AI"],"company":{"name":"Lila Sciences","logo_url":"https://img.logo.dev/lila.ai?token=pk_fWx5G5QrQMm-0Ud8BW3mBg&size=64&format=png","description":"Lila Sciences is a company that maintains a talent community for prospective job applicants.","website_url":"https://www.lila.ai","linkedin_url":"https://www.linkedin.com/company/lila-sciences","glassdoor_url":"https://www.glassdoor.com/Overview/Working-at-Lila-EI_IE561941.11,15.htm","x_url":"https://x.com/LilaSciences","instagram_url":null,"youtube_url":null,"github_url":"https://github.com/fl97inc","huggingface_url":null,"tiktok_url":null,"crunchbase_url":"https://www.crunchbase.com/organization/lila-sciences","facebook_url":null,"employee_count_range":"201-500","employee_count":319,"founded_year":2023,"headquarters":{"address":"55 Cambridge Parkway, Suite 800E, Cambridge, MA 02142, United States","city":"Cambridge, MA","country":"US","lat":42.3656347,"lng":-71.1040018},"industry":"other","company_type":"startup","total_funding_usd":550000000,"locations":["Cambridge, MA","San Francisco, CA","Washington, D.C. USA"]}}