Senior Manager, Scientific Data Engineering

There is a Senior Manager, Scientific Data Engineering vacancy at TetraScience, and the role is based in Massachusetts. This is full-time work at TetraScience's location. The salary range published with the job is $150,000 to $230,000 a year.

The description below comes from TetraScience's own job posting.

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

Quick answers

How much does this Senior Manager, Scientific Data Engineering job pay?

TetraScience advertises $150,000 to $230,000 a year for this role.

Is this a remote, hybrid or office job?

No, it is an on-site job in Massachusetts.

What does TetraScience look for in candidates?

The posting mentions at least 10 years of relevant experience. Read the full description above for the complete list.

Where do I send my application to TetraScience?

Use the apply button on this page. It takes you to TetraScience's own application form, so your CV goes directly to their hiring team.

Is this job still open?

TetraScience published the role on September 25, 2026. We check the employer's job board every day and take this page down when the role closes, so if you can read it, the job was still listed at our last check.

Source: TetraScience careers page (apply.workable.com). Applications go straight to the employer. We check the listing daily and remove it once it closes.