Manager, Revenue Accounting
Lila Sciences · Cambridge, MA USA · One Charles Park, Cambridge, MA
CHECKED 15H AGO
Bio & Science AIonsitemanager$126k–$186k
At a glance
Highlights
- Own end-to-end revenue accounting for licensing and collaboration agreements.
- Translate complex contracts into scalable billing and milestone workflows.
- Partner with legal, BD and science teams to align contracts with execution.
What they offer
- Competitive base compensation with bonus potential
- Generous early-stage equity
- Medical, dental, and vision coverage
- Employer-paid life and disability insurance
- Flexible time off with company-wide holidays
- Paid parental leave
- Educational assistance program
Ideal candidate
Detail-obsessed accounting owner who loves turning ambiguous contracts into clean, audit-ready workflows and thrives collaborating across legal, finance and science teams in a fast-moving environment.
Requirements
- 4–7+ years of accounting experience with meaningful exposure to revenue recognition and ASC 606
- Strong working knowledge of ASC 606; demonstrated ability to apply it to complex, real-world revenue arrangements
- Proven experience operationalizing revenue processes: billing, revenue tracking, reconciliations, and close activities
- Ability to read, interpret, and translate contracts into clear accounting and operational workflows
- Exceptional attention to detail, organizational discipline, and ability to manage multiple complex agreements simultaneously
- Strong communication skills and demonstrated ability to work cross-functionally with diverse stakeholders
Lab profile
About Lila Sciences
Building an autonomous science platform where AI, automation, and biology co-evolve for medicine and materials.
What they build
- Autonomous Science Platform
- AI-designed biologics validated in wet-lab
- Electro-optic materials and photonic devices
Known for
- Large-scale automated data generation
- High-throughput protein purification and analytics
- Protein design and BioML modeling
- Robotic orchestration and lab simulation