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The Technical Program Manager will lead AI data generation projects, ensuring consistent quality and efficient execution while communicating across teams.

Lead technology development programs, integrating research with execution, ensuring scalability, data integrity, and effective communication across teams.

Own OT security engineering for laboratory instruments, automation, and building systems. Translate OT security architecture into controls (segmentation, identity, PAM, PKI), build detection and response, validate vendor integrations, run vulnerability and lifecycle management, and mentor engineers while partnering with SOC, OT engineering, and lab operations.

Lead structuring and financial modeling for complex multi-year commercial partnerships and fundraising. Own deal execution cadence, coordinate diligence and contract negotiation, support revenue recognition (ASC 606), build forecasts and cap table/round models, prepare investor materials, and create scalable tools to accelerate deal velocity. Act as cross-functional partner to Legal, Commercial, Science, Accounting, and senior leadership.

Serve as the primary finance business partner for AI/ML and Infrastructure teams, building driver-based models, rolling forecasts, KPI dashboards, and cost models for compute, GPU, LLM API, data storage, and pipelines. Support planning, fundraising diligence, cash runway scenarios, headcount and capacity planning, and FP&A tooling integrations while partnering with Accounting, IT, and Procurement to improve cost allocation and reporting.

Maintain and improve deployed PLC, SCADA, and robotics control systems for lab automation. Troubleshoot multidisciplinary incidents, perform root cause analysis, implement fixes, update third-party integration wrappers, sustain PLC-based safety systems, plan maintenance/patching/upgrades, keep engineering documentation current, and track reliability metrics to improve uptime and reduce recurring faults.

Lead full-cycle recruiting for contract and select full-time engineering and scientific roles, manage staffing agency relationships, partner with hiring managers on talent strategies, conduct screens, manage interview and offer processes, maintain ATS data and metrics, and improve recruiting processes and agency performance.

Lead the development and strategy of Lila Sciences' software products, focusing on integrating AI within scientific workflows and managing high-performing teams.

Seek an Enterprise Account Lead to drive revenue in life sciences by managing pharma accounts, leading sales cycles, and collaborating with technical teams to close deals.

This role invites interested candidates to join a talent community for future job opportunities at Lila.