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Sr. Manager of Software Engineering

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Job Description

Job Description

Sr. Manager of Software Engineering (On-Site, NYC)

Company: Confidential (Top-Tier Life Sciences Tech Company)

Location: New York, NY (100% On-Site)

Job Type: Full-Time

Experience Level: Senior Manager / Supervisor

About the Opportunity

Are you ready to lead engineering efforts at a rapidly growing life science company where new ideas are celebrated and employee development is a priority?

We are partnering with an innovative, venture-backed pioneer in digital pathology and histology automation. Based in New York City, they help leading pharma, biotech, and academic institutions accelerate scientific discoveries.

We are seeking a talented Sr. Manager of Engineering to lead a dynamic team, make critical architectural decisions, and collaborate directly with the VP of Engineering to build groundbreaking solutions for medical researchers. The ideal candidate is a self-starter who thrives in fast-paced environments, loves solving complex problems, and balances technical excellence with strategic leadership.

Tech Stack

They actively minimize technical debt by keeping the stack on the latest stable releases:

  • Frontend: ReactJS, Material-UI, JSS, GatsbyJS
  • Backend: Python 3.10+, Django (RESTful APIs), PostgreSQL
  • DevOps/Cloud: GCP, Docker, Ansible, CircleCI, Netlify, CloudFlare, GitHub

Core Responsibilities

  • Leadership & Collaboration: Partner with the VP of Engineering, product managers, and full-stack teams to strategically prioritize the product roadmap.
  • Architecture & Code: Write scalable, testable, and maintainable full-stack code while making critical architectural decisions and evaluating technology tradeoffs.
  • Data & Infrastructure: Build robust data pipelines to feed into machine learning algorithms and handle automated deployments/maintenance for web servers.
  • Team Management: Provide technical support to the internal team and effectively manage external engineering resources.

What We Are Looking For

  • Experience: 5+ years of hands-on experience with Python / Django, paired with strong full-stack experience (including React or a similar frontend framework).
  • Cloud Proficiency: Proven experience with Google Cloud Platform (GCP) or a comparable cloud provider.
  • Leadership: Demonstrated capability to manage external engineers, see complex projects through to completion, and manage shifting workloads.
  • Communication: Exceptional ability to translate complex technical concepts to both technical and non-technical stakeholders.
  • Location: Must currently live in or be willing to relocate to NYC for a fully in-person, collaborative environment.

Bonus Points For:

  • Previous experience scaling early-stage, fast-paced startups.
  • Background or interest in computer vision, data mining, or statistics.

Why Apply?

This is a rare opportunity to use your engineering leadership skills to directly impact the future of medical research and diagnostics. You will join an authentic, collaborative culture that values creative thinking and proactive career growth.

Interested in learning more? Apply today to connect with our recruiting team!

#LI-DN1

Required Location:

  • New York, NY (100% on-site required)
  • Must be willing to relocate or already local to NYC

Required Industry/Domain:

  • Life sciences technology
  • Digital pathology / histology / biotech software
  • Healthcare / medical research technology platforms
  • Technology/SaaS/Software Development

Must-Have Experience:

  • 5+ years hands-on software engineering experience with Python or Django
  • Strong full-stack experience including React or similar frontend frameworks
  • Cloud experience with GCP or comparable cloud platforms (AWS/Azure acceptable equivalent)
  • Engineering leadership experience (managing engineers or external engineering teams)

Strong Preferences:

  • Experience in early-stage or fast-scaling startup environments
  • Exposure to life sciences, healthcare, biotech, or medical research platforms
  • Experience with data pipelines, ML-enabled systems, or scientific/analytical software

Deal Breakers:

  • No hands-on Python/Django or equivalent backend engineering experience
  • No full-stack experience (backend + frontend exposure required)
  • No cloud experience (GCP/AWS/Azure)
  • Not willing to relocate or work 100% onsite in NYC
  • Purely managerial background with no hands-on technical coding ability

Score Cap Rules:

  • No Python / Django (or equivalent backend engineering experience): Maximum score 70
  • No full-stack experience (React or similar frontend exposure): Maximum score 75
  • No cloud experience (GCP/AWS/Azure): Maximum score 75
  • No engineering leadership experience (team/external vendor management): Maximum score 75
  • No life sciences / healthcare / biotech exposure: Maximum score 85
  • Not able to work 100% onsite in NYC or relocate: Maximum score 60
  • No experience building or scaling systems in startup / fast-paced environments: Maximum score 85

Vacancy posted 26 days ago
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