Senior Manager, Scientific Data Engineering
TetraScience
Cambridge, MA · Posted September 25, 2026
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How AI is used in this kind of work
Among computer and information systems managers, AI is already used for some of the tasks. Measured exposure for computer and information systems managers: 16% (some).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
About the job
About the Role
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.
What You'll Do
Team & People Leadership
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
Operational Excellence
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
Technical & Engineering Excellence
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
Strategy & Cross-Functional Partnership
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
Requirements
What We're Looking For
Required
Overall 10+ years of work experience, including at least 5 years being a manager or leading through other managers
Proven track record of identifying and resolving operational inefficiencies at scale (process, tooling, or organizational)
Demonstrated commitment to engineering excellence — quality, reliability, and maintainable systems, not just shipping speed
Experience managing managers and building organizational structure as teams grow
Strong technical background with the credibility to engage deeply on architecture and design decisions
Excellent communication skills, with experience presenting to executive stakeholders
Experience setting and using engineering metrics to drive decisions and improvements
Comfortable working in a changing environment and navigating through unclear requirements
Nice to Have
Experience scaling an engineering org through significant growth (e.g., 2x–5x headcount)
Experience working in startups
Experience in working with life science data
Experience with distributed/remote engineering teams
History of building or maturing engineering processes from scratch (SDLC, release management, incident response)
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
Benefits
100% employer paid benefits for all eligible employees and immediate family members.
401K.
Unlimited paid time off (PTO).
Company paid Life Insurance, LTD/STD.
The salary range for this position is $150K-$230K USD. The salary range posted reflects our target baseline for this role. Final compensation is determined by a thorough evaluation of factors including the candidate’s specific experience, localized market data, and internal team equity.
This position isn't eligible for visa sponsorship