---
title: 'Production Manager at LatchBio'
canonical: 'https://feeny.ai/job/production-manager-latchbio-san-francisco-fp1wahrzs1tx'
type: 'job'
last_seen: '2026-10-20'
---

# Production Manager at LatchBio

- **Company:** LatchBio
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-14
- **Last confirmed live:** 2026-10-20
- **Apply:** https://jobs.ashbyhq.com/latchbio/fbc11caa-e564-4873-bf50-75bd3554f71b

## Job description

Production Manager Our mission is to advance humanity's ability to engineer biology. We approach this by understanding and improving AI’s application to biology across basic research, drug discovery, and biosecurity. We are a team of engineers, scientists, and operations specialists who are driven by improving capabilities and interpretability. Some of our work is showcased on [benchmarks.bio](http://benchmarks.bio).

The role. Our science team is growing past 100 people, and someone needs to own how their work gets staffed and delivered. You'll make sure the right scientists are on the right projects, and that everything ships on time and on budget. You'll report to our Chief Product Officer, Hannah Le.

What you'll do.

- Match people to projects. Know the strengths, growth areas, and availability of every scientist on the team, and put them where they'll do their best work, without being their manager.
- Plan projects. Gather customer requirements, make sure the team understands them, and work with sales and engineering to set scope and timelines we can hit.
- Own production and revenue. Track output and costs across every project, partner with finance to forecast and deliver against targets, and work with engineering on tools that make delivery faster and cheaper.
- Shape scientific direction. Understand the science behind our work, and help develop new projects that build on the team's strengths.

What you bring.

- A science background in biology. You've done real scientific work, at the bench or computationally. You know the difference between a single-cell analyst and a statistical geneticist, and why it matters for who goes on which project. An MS or PhD is a plus; hands-on experience counts just as much.
- Experience running scientific delivery. A few years managing projects or production for a team of experts, such as at a CRO, core facility, or biotech, juggling many projects at once with real deadlines and quality bars.
- Great intuition for matching scientists to work. You read someone's expertise quickly, whether it's proteomics, genomics, cell therapy, or structural biology, and put them where they fit.
- Steady under shifting priorities. When a customer changes scope or a deadline moves, you re-plan fast and keep everyone aligned.

How we work. We're extremely tied to the truth. We care about output and are flexible enough to let people work the way that works for them. This role is on-site in San Francisco, close to science, partnerships, operations, and engineering. We meet as a team Mondays and Fridays, plus ad hoc when we need to. We don't track when you come in or leave, and PTO is unlimited. What matters most is that projects ship well and on time.

Culture. We believe in radical transparency: you'll know how the company is doing, what's working, and what isn't. It's always us against the problem, never each other. We're opinionated but respectful, and we bring solutions along with the problems. We keep meetings to a minimum and judge people on innovation and output, not hours. Outside of work we have company outings most months, team off-sites, run club, cycling, boxing, ice skating, and soccer; feel free to add to the list.

## Benefits

- Base Salary is $140K-$200K
- Equity
- Unlimited PTO
- Every lunch and dinner is paid for
- 100% premium covered on Cigna's platinum health plan ($0 premium, $0 deductible) and 50% premium coverage for dependents. 100% coverage for top-tier Guardian dental and vision plans
- We sponsor most work visas, often all
- Relocation Assistance
- 401(k) Plan
- Company-Sponsored professional development

Who you'll work with most

- Founders: Alfredo, Kyle, Kenny
- Chief Product Officer: Hannah
- Engineering: Aidan A, Joel, Mark, Miller, Zach, Nathan, Anirudh, Ryan, Aidan S, Arjun, Tim, Yuyi
- Operations: Jordan, Daniel, Saul, Andy, Charles, Jesse, Camila
- MTS: Zhen, Harmon, Chris, Dillon, Martin, Ramesh, Ian, Evan, John
- Scientists across Latch

Our work in use Frontier AI labs use [our benchmarks](https://benchmarks.bio/) to assess biological capabilities and safeguards. Our work appears in research announcements and model cards, including:

- [Anthropic: Claude Fable 5.1 and Mythos 5.1 system card](https://www-cdn.anthropic.com/0339e6a7c5c7b87f5c07798616dc32c215d14235/Claude%20Fable%205.1%20%26%20Claude%20Mythos%205.1%20System%20Card.pdf)
- [Anthropic: Claude Opus 5.5 system card](https://www-cdn.anthropic.com/fc1b44717c85dc068bc6ba5024219938094694bd/Claude%20Opus%205.5%20System%20Card.pdf)
- [Anthropic: Advancing Claude in healthcare and life sciences](https://www.anthropic.com/news/healthcare-life-sciences)
- [xAI: Grok 4.7 model card](https://media.x.ai/v1/website/card4p7-3a96f40b.pdf)
- [xAI: Biosecurity at the frontier](https://x.ai/news/biosafety-at-the-frontier)

How to apply Our process moves quickly.

- Round 0 - Apply
- Round 1 - Intro Latch Talent Team (30m)
- Round 2 - Interview with Hannah (45m)
- Round 3 - Culture Interview with Jordan (30m)
- Round 4 - Paid onsite project and presentation (2-3 days)
- Offer

## About LatchBio

## Company Overview
- **One-liner**: LatchBio builds and deploys frontier AI agents for biological data analysis, serving over 300 biopharma and R&D labs worldwide.
- **Entity Type**: Private (Series A; total funding $33.2M)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2021
- **Founders**: Alfredo Andere (CEO) and Kenny Workman (CTO)

## Core Business
- Primary industry: Biotechnology Research / AI for biology
- Target customers: B2B – biopharma companies, academic R&D labs, and solution providers (kits, assays, instrument vendors)
- Mission: Deploy AI agents into real scientific work to accelerate data analysis and drug discovery

## Products & Services
- **Latch Platform**: A unified, serverless bioinformatics platform that lets scientists run, track, and debug pipelines via an SDK-generated no-code interface. Supports FastQ, CSV, H5AD, TIFF, and other formats. Agents can analyze messy real-world data.
- **Latch SDK**: Python toolchain to define serverless workflows and dynamically generate no-code UIs, removing cloud-infrastructure overhead.
- **agent.bio**: Public, interactive sandbox where frontier AI agents (e.g., Claude 4.8 Opus) analyze biological data. Supports 40+ solution providers.
- **benchmarks.bio**: Open, reproducible benchmarks measuring AI agent performance on spatial, single-cell, epigenomics, and preclinical pharmacology data. Includes papers like scBench-Long, TxBench-PP, etc.
- **White-labeled data analysis**: Solution providers can offer a branded, simpler analysis experience for their kits and services.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: Annual revenue of ~$1.0M (LinkedIn estimate); total funding $33.2M
- **Notable Investors/Partners**: Coatue, Lux Capital, Fifty Years, Haystack, Gelt, Backend Capital; individual investors include George Church, Jeff Dean, Hemant Taneja, Laura Deming, Alec Nielsen
- **Growth Signals**: 140% YoY headcount growth (from ~11 to 26 employees); 300+ biopharma and academic teams served; 40+ solution providers onboarded; recent publication of multiple benchmark papers (2025–2026)

## Competitive Advantages
- **First-mover in AI agents for biology**: Combines frontier LLMs with rigorous, verifiable benchmarks tailored to biological data (spatial, single-cell, epigenomics, pharmacology).
- **Open benchmarks & reproducibility**: All benchmarks (e.g., scBench-Long) are published openly, building trust and attracting top talent.
- **White-labeling for solution providers**: Allows kit and instrument vendors to offer AI-powered data analysis under their own brand, creating a network effect.
- **Tight integration with real lab workflows**: Supports common file formats and interfaces with existing pipelines, reducing friction for scientists.

## Strategic Focus
- Continue research and deployment of AI agents for biology, with emphasis on long-horizon tasks and messy real-world data.
- Expand the agent.bio sandbox to more solution providers and biopharma customers.
- Publish additional benchmarks (spatial, preclinical) to establish Latch as the standard evaluator of AI in biology.
- Grow engineering and bioinformatics teams to accelerate platform development.

## Why Work Here
- **Engineering culture**: Small, high-autonomy team where engineers own features end-to-end and see their code impact thousands of scientists the same day. Reading groups on category theory, immunology, and more.
- **Remote/hybrid policy**: Not explicitly stated, but headquarters in San Francisco; office parking subsidized. Likely in-office with flexibility.
- **Notable perks**: Unlimited PTO, 100%-subsidized platinum health plan (Cigna) + 75% for dependents, dental/vision, 401(k), ambitious equity, 12+ meals weekly, annual tech stipend, signing bonus, O-1 visa sponsorship, professional development.
- **Team size**: ~26 employees, with 65% in technical roles (engineering, bioinformatics, research). Flat structure with direct access to founders.
- **Growth trajectory**: Rapid headcount growth and expanding customer base offer career acceleration opportunities.

## Sources
1. [latch.bio](https://latch.bio/)
2. [latch.bio/about](https://latch.bio/about)
3. [linkedin.com/company/latchbio](https://www.linkedin.com/company/latchbio)
4. [cbinsights.com/company/latch-bio](https://www.cbinsights.com/company/latch-bio)
5. [jobs.ashbyhq.com/latchbio](https://jobs.ashbyhq.com/latchbio)

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