TetraScience
Healthcare & Life SciencesDirect Workable career site

Senior Manager, Scientific Data Engineering

Pay
$150,000 – $230,000 per year
Location
Cambridge, MA · On-site
Job type
Full-time
Level
Director
Experience
10+ years
Listed
20 days ago

Skills & highlights for this role

  • engineering process improvement
  • team leadership
  • engineering metrics
  • architecture review
  • release management

Also useful

  • life science data

Stated benefits & perks

  • 401k
  • Unlimited pto
  • Life insurance

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

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 & Perks

  • 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
Read the original posting

From TetraScience's careers page, first listed on Rolev.ai on October 20, 2026. Rolev.ai is not the employer.

How Rolev.ai helps with this application

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Common questions

What is the salary for the Senior Manager, Scientific Data Engineering role at TetraScience?

The Senior Manager, Scientific Data Engineering posting at TetraScience states compensation of $150,000 – $230,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on TetraScience's official career site.

Where is the Senior Manager, Scientific Data Engineering job at TetraScience located?

This Senior Manager, Scientific Data Engineering position at TetraScience is located in Cambridge, MA (On-site). Always check TetraScience's application page for specific state eligibility or relocation policies.

What qualifications are required for Senior Manager, Scientific Data Engineering at TetraScience?

For the Senior Manager, Scientific Data Engineering role, TetraScience highlights 10+ years of relevant experience; experience with engineering process improvement, team leadership, engineering metrics, architecture review, release management. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Senior Manager, Scientific Data Engineering position at TetraScience?

This listing links directly to TetraScience's Workable application page. You can apply directly on TetraScience's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Workable application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.