--- title: 'Technical Ops & Enablement at LatchBio' canonical: 'https://feeny.ai/job/technical-ops-enablement-latchbio-san-francisco-v5m3w6r50g1h' type: 'job' last_seen: '2026-10-13' --- # Technical Ops & Enablement at LatchBio - **Company:** LatchBio - **Location:** San Francisco, CA - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-10-13 - **Last confirmed live:** 2026-10-13 - **Apply:** https://jobs.ashbyhq.com/latchbio/9251b764-4341-460b-8961-4407b7612733 ## Job description Technical Ops & Enablement Engineer At LatchBio, we're building AI agents that help thousands of scientists analyze and interpret data from the next generation of spatial and multi-omic tools in biotech. Each of our agents can store terabytes of data, visualize millions of cells, and orchestrate hundreds of computers towards bio-computational ends. Teams at pharmaceutical, biotech, and solution provider companies trust and rely on our technology to enhance, inform, and deliver the future generations of biological products. We introduced SpatialBench, the first benchmark suite for spatial biology agents — 146 verifiable problems drawn from real analysis workflows across five platforms. Our findings show that harness design — the tools, prompts, and control flow around a model — moves outcomes as much as swapping the base model itself. We have subsequently released scBench, and are working on benchmarks and benchmarking infrastructure for 10s more important areas of biology. Role Overview. Hundreds of scientists build our benchmarks on Latch's internal evaluation platform, and you'll be the engineer who makes sure that platform works for them. This is a hybrid product, operations, and engineering role. You'll own technical onboarding for new bioengineers, triage and fix bugs, write the docs, and run beta tests on new features before they reach the full scientist team. You'll also track whether features are being adopted and bring what you learn back to product and engineering. If you like writing code and like working directly with the people who use it, this role is for you. What you’ll do. - Own the technical enablement lifecycle for work trials, contractors, hires, and departures. Provision everything someone needs on day one, and revoke all of it reliably when they leave. - Identity and access. Administer Google Workspace, GitHub, Slack, AWS/GCP, VPN, internal systems, and SaaS accounts. Manage groups, permissions, and SSO/SCIM, and run periodic access reviews. - Engineering SaaS. Manage seats, licenses, admin consoles, and renewals, and keep track of who needs what. - Automation. Build workflows that take the manual toil out of common business processes so engineers can stay focused on building. - Security and compliance. Enforce device policies, MFA, and least-privilege access. Run offboarding checks and access audits, and collect compliance evidence. - Platform support. Own bug channels. Investigate issues, fix what you can, escalate to engineering with clear context when needed, and keep scientists updated until each issue is resolved. - Enablement and training. Make sure every new bioengineer can confidently use the platform within their first week. Partner with engineering on training sessions and Q&As when features ship, run beta programs with early testers, and track adoption so product and engineering hear what’s getting in scientists’ way. - Documentation and process. Keep feature documentation up to date and refine processes for efficient communication across a large team. What you bring. - IT and systems experience. 2+ years in IT, systems administration, or IT/eng ops at a fast-moving tech company. Hands-on with Google Workspace admin, an MDM (Jamf, Kandji, or similar), and an identity provider with SSO/SCIM. - AI Native. Understand how to automate systems with AI and when not to. Keep up to date on the frontier of possibility and improve our automations. - Scripting and automation. Comfortable with Python, Bash, and similar, plus AI and workflow tools. If you’ve done a task twice, you’re already thinking about automating it. - Engineering fluency. Working knowledge of AWS/GCP IAM and GitHub org admin, and enough engineering ability to read code, reproduce a bug, and ship small fixes. - Security mindset. You default to least privilege, can conduct strong access reviews, and have helped collect compliance evidence (SOC 2 or similar is a plus). - Clear communicator. You write docs people actually read and can train non-engineers to use technical products. - Bonus: scientific background. Experience in biology, bioinformatics, or a lab setting, or prior work in support or solutions engineering for a technical product. ## How we work We are extremely tied to the truth. We care about output and are flexible enough to let people optimize their work in a way that works for them. Our entire engineering team is in-person in San Francisco. We run a daily scrum where engineers talk through technical challenges and stay aligned on what matters most. No dedicated frontend, backend, or DBA roles. You own a product area and execute in your own style. Mentorship happens through code review and working through hard problems together — not top-down instruction. If you want to work on the most interesting and intellectually challenging engineering problems of your career — on work that actually matters — we are the right team for you. ## Benefits - Base Salary $150k-$180k - Performance Bonus - Great 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 - Relocation Assistance - 401(k) Plan - Company-Sponsored professional development Who you'll work with most - Founders: Alfredo, Kyle, Kenny - Chief Product Officer: Hannah - Operations: Jordan, Daniel, Saul, Andy, Charles, Jesse, Camila - MTS: Zhen, Harmon, Chris, Dillon, Martin, Ramesh, Ian, Evan, John - Bioengineers and scientists across Latch Learn more about us - [benchmarks.bio](http://benchmarks.bio) - [About Us](https://latch.bio/about) · [Website](https://latch.bio/) · [Twitter](https://x.com/LatchBio?lang=en) · [Blog](https://blog.latch.bio/) How to apply Our process moves quickly. - Round 0 - Apply - Round 1 - Interview with Head of Engineering (30min) - Round 2 - Technical Interview with our Head of Product (45m) - Round 3 - On-site work-trial with Latch Team (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. 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