Senior Manager, Scientific Data Engineering

Reads like a Data Leadership role: running a data team.

Cambridge, Massachusetts, United States

Live, first seen by us 39 days ago

Pay: USD 150,000–230,000/yearAnnual period assumed — pay source
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 full posting
Work setting: On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting
Employment: Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

Before you apply

Work authorization: Must already have the right to workThis position isn't eligible for visa sponsorship

What you’ll work on

Full posting

Supervise and guide engineers in each squad through planning, implementation, testing and documentation
Proactively find and fix inefficiencies in engineering workflows and cross-team handoffs
Set up engineering metrics such as cycle time and deployment frequency to guide decisions
Hire, mentor and retain engineering talent, and manage performance and career development
Translate company strategy into engineering roadmaps across multiple teams

From the employer’s posting

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

Proactively identify inefficiencies in engineering workflows, processes, and cross-team handoffs

Establish and track meaningful engineering metrics (cycle time, deployment frequency, incident rates, etc.)

Hire, mentor, and retain strong engineering talent

Translate company and product strategy into actionable engineering roadmaps across multiple teams

What you’ll bring

All qualifications

Core experience

Experience managing managers and building organizational structure as teams grow
Experience scaling an engineering org through significant growth (e.g., 2x–5x headcount)
Excellent communication skills, with experience presenting to executive stakeholders
Experience working in startups
Experience setting and using engineering metrics to drive decisions and improvements
Experience in working with life science data

Qualification wording

Experience managing managers and building organizational structure as teams grow

Experience scaling an engineering org through significant growth (e.g., 2x–5x headcount)

Excellent communication skills, with experience presenting to executive stakeholders

Experience working in startups

Experience setting and using engineering metrics to drive decisions and improvements

Experience in working with life science data

Benefits in the posting

Full benefits wording

100% employer paid benefits for all eligible employees and immediate family members.
401K.
Unlimited paid time off (PTO).
Company paid Life Insurance, LTD/STD.
This position isn't eligible for visa sponsorship

From the employer’s posting.

Apply at TetraScience

Posting record

Report an error

Status in our records: Live
First seen by us: Sep 26, 202639 days ago
Recorded sightings: 26
Last seen by us: Nov 3, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

In line with similar jobs

$150K–$230K against $154K–$225K, the middle half of what similar US postings state.

From 2,958 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 39

Similar jobs usually come down between day 7 and day 53.

From 7,839 similar postings that came down. Coming down is not always a hire.

TetraScience is hiring

10 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Data Leadership hiring has slowed
Takes jobs down at a usual pace
10% of open jobs were reposted

Hiring record

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Upload resume Add LinkedIn

Your next step

Complete your application on apply.workable.com. The employer’s form will show what is required.

Applying through Workable

No account needed. You can import your resume to fill in the form, or skip that and fill it in yourself.

Already applied? Track this application

About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025: $175,140
Expected change, 2025 to 2035: 15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original 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

Source details