Senior Manager of Scientific Data Engineering

• We’re looking for a Senior Engineering Manager to lead Scientific Data Engineers (SDE) spread across multiple forward deployed engineering squads and drive both technical and organizational excellence. This role is ideal for a leader who can zoom out to see systemic inefficiencies across teams and processes, then roll up their sleeves to fix them — while also building a culture where engineers do their best work
• Supervise and guide SDEs in each squad in planning, implementation, testing, and documentation. Foster a culture of accountability, collaboration, and continuous improvement across teams
• Lead by example - comfortable with diving deeper into organizational and technical challenges and help the team navigate ambiguity and vagueness
• Manage performance, career development, and org design as teams scale
• Hire, mentor, and retain strong engineering talent; build a pipeline of future technical leaders
• Proactively identify inefficiencies in engineering workflows, processes, and cross-team handoffs — don’t wait to be told something is broken
• Design and implement systems (planning cadences, metrics, tooling) that increase velocity and reduce friction across teams
• Establish and track meaningful engineering metrics (cycle time, deployment frequency, incident rates, etc.) to guide decisions
• Drive continuous process improvement, balancing speed with sustainability
• Set and uphold engineering standards for code quality, architecture, testing, and operational reliability across teams
• Partner with tech leads and architects on key technical decisions and trade-offs
• Champion best practices in system design, scalability, and maintainability
• Stay close enough to the technical details to ask sharp questions and unblock teams when needed
• Translate company and product strategy into actionable engineering roadmaps across multiple teams
• Partner closely with Product, Design, and other stakeholders to align priorities and timelines
• Communicate progress, risks, and trade-offs clearly to executive leadership
• Own budget, headcount planning, and resource allocation for your organization
• What Success Looks Like in the First Year:
• Identify key engineering operational bottlenecks and inefficiencies
• Engineering teams operate with clear, well-understood processes and reduced cross-team friction
• Engineering teams able to accurately predict engineering effort and deliver high-quality products on time
• Measurable improvement in key engineering metrics (velocity, quality, reliability)
• Engineering is seen as a trusted, proactive partner by Product and executive leadership

• Unlimited PTO
• 100% Company Paid Health, Dental & Vision
• Company Paid Life Insurance
• 401k Savings
• Company Paid Disability Insurance
• Equity Program

Comfortable working in a changing environment and navigating through unclear requirements

Experience managing managers and building organizational structure as teams grow Excellent communication skills, with experience presenting to executive stakeholders

Demonstrated commitment to engineering excellence — quality, reliability, and maintainable systems, not just shipping speed

Experience setting and using engineering metrics to drive decisions and improvements

Overall 10+ years of work experience, including at least 5 years being a manager or leading through other managers

Strong technical background with the credibility to engage deeply on architecture and design decisions

Proven track record of identifying and resolving operational inefficiencies at scale (process, tooling, or organizational)
History of building or maturing engineering processes from scratch (SDLC, release management, incident response)

Experience with distributed/remote engineering teams

Experience working in startups

Experience in working with life science data Experience scaling an engineering org through significant growth (e.g., 2x–5x headcount)