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Profluent

Director, Software and Data Engineering

Profluent · Emeryville, California, United States; Hybrid (2-3 days on-site)

Posted about 2 months ago

or apply directly on Profluent's site. We never take the application ourselves.

Is this posting real?

This role has been open
63 days
Profluent's roles stay open a median of 63 days
Reposted
No
Salary listed
No
0% of Profluent's roles list one
Ghost-job risk at Profluent
high
12 stale, 0 reposted of 12 open
Hiring momentum
17 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-05

Measured from postings appearing on and disappearing from Profluent's own greenhouse board since 2026-08-03. Full hiring picture for Profluent.

About this role

As the Director of Software and Data Engineering at Profluent, you will lead the software engineering team and oversee the development of a platform that integrates AI-driven protein design with automated laboratory workflows. Your responsibilities include defining the software architecture, managing a small team, and collaborating with various scientific and technical stakeholders to ensure the delivery of reliable systems that support experimental data management and analysis.

Our read on this posting2.4out of 5
benefits
3/5
freshness
1/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Profluent as an employer.

What you need

  • 8+ years of software engineering experience
  • 3+ years managing or leading engineers
  • BS, MS, or PhD in Computer Science, Bioengineering, Computational Biology, or a related field, or equivalent practical experience
  • Track record of leading teams that architect and deliver production-quality, data-intensive software platforms
  • Strong technical foundation in Python, backend systems, databases, APIs, cloud infrastructure, and modern software development practices
  • Experience designing data architectures, schemas, and domain models for complex scientific workflows

Nice to have

  • Experience building scientific data infrastructure, research software, LIMS integrations, or scientist-facing applications
  • Experience with Benchling, laboratory automation, instrument integration, sample tracking, or high-throughput experimental platforms
  • Experience connecting experimental workflows with downstream analysis and machine learning
  • Familiarity with biological data from protein engineering, gene editing, sequencing, screening, or mammalian or bacterial systems
  • Frontend development experience and an interest in building intuitive scientist-facing interfaces

What you get

  • High-growth opportunity with meaningful impact on the future of protein design
  • Competitive compensation package with equity participation
  • 401(k) with a strong employer match
  • Comprehensive benefits including health/dental/vision insurance
  • Generous PTO policy and commitment to work-life balance
  • Professional development opportunities in a cutting-edge field at the intersection of AI and biology

Worth weighing

  • No salary listed in the job posting, but a hiring salary range is provided
  • The role involves significant leadership responsibilities, which may require balancing management with technical work
  • Work authorization in the U.S. is required, with no sponsorship available

Summarised from Profluent's posting. Read the full original.

Listed by Profluent on their greenhouse job board, last confirmed open on 2026-10-05. PitchMeAI is not the employer.

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