About Phylo
Phylo is an applied research lab building agentic intelligence to accelerate discovery for every biomedical scientist. We believe AI agents will fundamentally transform how biomedical research is done. Our fast-growing team brings together researchers and engineers across AI and biology, commercializing the Biomni platform.
Our growing team brings together world class researchers and engineers across AI and biology. Backed by a $13.5M seed round led by a16z, Menlo Ventures and Anthropic, and advised by Nobel Prize laureate and pioneering biologists, Phylo is building the next generation of AI systems for the life sciences.
About the Role
We’re looking for a Product Engineer to help build and scale the core product experiences of Phylo’s AI agent platform. This is a highly versatile, full-stack role with a frontend lean, focused on turning cutting-edge agentic research into fast, reliable, and delightful products used by real scientists.
You’ll own product features end-to-end — from UI and interaction design to backend APIs, billing, authentication, and integrations — and work closely with AI researchers, scientists, and infrastructure engineers to ship production-grade systems quickly without sacrificing quality.
This role is deeply interdisciplinary. You’ll spend a lot of time listening, asking questions, and translating between scientists, product, engineering, and AI research. We are an AI-native engineering team: we use coding agents heavily, move fast, and hold a very high bar for engineering excellence.
What you’ll do as a Member of Technical Staff – Product Engineering at Phylo:
Build and own full-stack product features across the Phylo platform, from user-facing UI to backend services.
Design and implement frontend-heavy experiences for interacting with AI agents, workflows, and scientific tools.
Own critical product surfaces such as billing, usage tracking, authentication, permissions, and account management.
Collaborate closely with scientists, AI researchers, and engineers to translate capabilities into intuitive, production-ready product features.
Ship quickly, iterate based on feedback, and continuously raise the bar on product quality, reliability, and performance.
What We're Looking For:
2+ years of industry experience as a product, full-stack, or frontend-leaning software engineer.
Strong experience building modern web applications (e.g. React, TypeScript, or similar frameworks).
Comfort working across the stack (frontend, backend, and infrastructure) and strong communication skills, with the ability to collaborate effectively across biologists, product, engineering, and AI teams.
Strong product instincts — you care deeply about UX, polish, and how real users experience the system.
Ability to move fast, own features end-to-end, and operate with high autonomy.
High standards for code quality, maintainability, and engineering excellence.
Nice to Haves:
Experience building AI-powered products, agent interfaces, or developer tools.
Familiarity with sandboxed or isolated execution environments for agents or user code.
Experience with billing systems, metering, or enterprise SaaS features.
Experience working in AI-native teams that use coding agents or automation extensively.
Interest in scientific, biomedical, or research-focused products.
Why Join Us?
Competitive salary and equity share in building the future of biomedical discovery
Full medical, dental, and vision coverage, including free therapy sessions and eyewear stipend
401(k) to help you build long-term financial security (US only)
Unlimited PTO to recharge when you need it (US only)
Lunch and snacks when you're in the office
Regular team offsites and company events
A culture of excellence and speed - we move fast, think big, and support each other every step of the way
Your work will directly impact our mission to 100X biomedical discoveries through AI
About Phylo
Phylo is an applied research lab building agentic intelligence to accelerate discovery for every biomedical scientist. We believe AI agents will fundamentally transform how biomedical research is done. Our fast-growing team brings together researchers and engineers across AI and biology, commercializing the Biomni platform.
Our growing team brings together world class researchers and engineers across AI and biology. Backed by a $13.5M seed round led by a16z, Menlo Ventures and Anthropic, and advised by Nobel Prize laureate and pioneering biologists, Phylo is building the next generation of AI systems for the life sciences.
About the Role
Our Scientific Solutions team is where our science meets our customers. We're hiring forward deployed scientists with industry experience to partner closely with our enterprise customers, raise the scientific bar of our agents, and make sure outputs hold up under real scientific scrutiny.
The role has two parts: One is constructing the bio environment our agents rely on: building and curating the biomedical skills, tools, databases, and data integrations that power them. The other is making sure the science holds up: designing evaluation pipelines and benchmarks, and doing direct scientific review to measure whether agents meet the standards of working scientists. You'll do both while embedded with customers: running training sessions, scoping and delivering solutions on high-stakes projects, and feeding what you learn back into the product.
We're building a team that spans the drug R&D pipeline, so we're hiring across three areas of depth: discovery, IND-enabling, and clinical/translational. You don't need all three; you need to go deep in at least one and be conversant across the rest.
What you’ll do as a Member of Technical Staff - Forward Deployed Scientist at Phylo:
Partner with enterprise customers in biotech and pharma to understand their scientific workflows and bring those needs into the product.
Construct bio environments for our agents: build and curate biomedical skills, tools, databases, and data integrations that expand what agents can do.
Evaluate agent performance across biomedical domains through internal benchmarks, structured evals, and direct scientific review.
Validate the scientific accuracy and rigor of agent outputs and drive improvements back into the product with the AI team.
Deliver in the field: run training sessions, help customers scope and solve real problems, and own delivery from first hypothesis to production.
Serve as the scientific voice in customer engagements, deployments, and feedback loops.
What We're Looking For:
PhD training in a relevant field (or MD/PhD or equivalent), with strong command of common biomedical tools, databases, and analytical workflows.
Industry experience in biotech or pharma (computational biology, bioinformatics, or a closely related function).
Solid engineering skills: writing code, building pipelines, and working with biological data at scale.
Comfort working directly with enterprise customers and translating their scientific needs into technical requirements, including running training sessions.
A strong communicator who can explain complex ideas clearly to both scientists and executives.
Ability to move quickly in a fast-paced research and product environment.
Deep expertise in at least one of the following areas (and comfort collaborating across the others):
Discovery: identifying and optimizing therapeutic candidates across modalities. On the small-molecule side: screening (biochemical, cell-based, or phenotypic), hit-to-lead, and lead optimization; SAR analysis and medicinal chemistry / cheminformatics; chemical and bioactivity data (e.g. ChEMBL, PubChem). On the biologics side: protein and binder design, antibody discovery, de novo protein design, protein engineering, and affinity maturation.
IND-Enabling (preclinical): nonclinical safety and toxicology, DMPK, PK/PD modeling, exposure-response and dose selection; familiarity with the regulatory requirements and study designs that support an IND filing.
Clinical & Translational: biomarker strategy, mechanism-of-action confirmation, patient stratification, and translational PK/PD; early clinical development (Phase 1/2, first-in-human); real-world evidence and clinical data (EHR, claims, registries; RWD analysis for effectiveness and safety).
Nice to Have
AI-native working style; fluent with modern AI coding tools and agent-based workflows.
Experience with LLMs, agents, or AI/ML systems applied to biomedical problems.
Familiarity with foundation models: genomic foundation models, protein language models, or vision models for pathology/imaging.
Depth in more than one of the three areas above, or breadth across multiple biomedical domains (genomics, proteomics, drug discovery, clinical data).
Area-specific strengths, such as: structure-based and generative design of small molecules or proteins, e.g. docking, RFdiffusion, ProteinMPNN, ESM (Discovery); PBPK or QSP modeling, e.g. Simcyp, GastroPlus, NONMEM (IND-Enabling); epidemiology / biostatistics, CDISC data standards, digital biomarkers (Clinical & Translational).
Why Join Us?
Competitive salary and equity share in building the future of biomedical discovery
Full medical, dental, and vision coverage, including free therapy sessions and eyewear stipend
401(k) to help you build long-term financial security (US only)
Unlimited PTO to recharge when you need it (US only)
Lunch and snacks when you're in the office
Regular team offsites and company events
A culture of excellence and speed - we move fast, think big, and support each other every step of the way
Your work will directly impact our mission to 100X biomedical discoveries through AI
About Phylo
Phylo is an applied research lab building agentic intelligence to accelerate discovery for every biomedical scientist. We believe AI agents will fundamentally transform how biomedical research is done. Our fast-growing team brings together researchers and engineers across AI and biology, commercializing the Biomni platform.
Our growing team brings together world class researchers and engineers across AI and biology. Backed by a $13.5M seed round led by a16z, Menlo Ventures and Anthropic, and advised by Nobel Prize laureate and pioneering biologists, Phylo is building the next generation of AI systems for the life sciences.
About the Role
Phylo launched publicly on the back of a $13.5M seed round co-led by Andreessen Horowitz and Menlo Ventures/Anthropic. We have strong enterprise inbound, active deployments, and a growing pipeline of pharma and biotech teams adopting Biomni Lab. We have proven the motion. Now we are building the engine.
This is an early quota-carrying seat on a commercial team that is being built deliberately. You will own a book of enterprise pharma and biotech accounts end to end and carry a number, while partnering with our GTM leader, founders, and scientists to convert real momentum into repeatable, expanding revenue. You will run the full cycle as a solution-minded seller: someone who can sit in a pharma R&D meeting, understand the science, and design a proposal that lands. You are here to close, expand, and help sharpen the playbook as we scale it.
What you’ll do as an Account Executive at Phylo:
Carry a quota and own enterprise biotech and pharma accounts end to end: outbound, discovery, qualification, proposal design, pilot, close, and expansion.
Convert active pilots and POCs into committed, growing revenue, with a clear plan to move each engagement from evaluation to production.
Run a disciplined sales process using MEDDPICC to qualify hard, multi-thread, and forecast accurately.
Act as a solution owner: gather the scientist's problem statement, partner with the technical team to design a tailored solution, and present it back with credibility.
Multi-thread across R&D leaders, computational biology and data science teams, technical champions, procurement, and economic buyers.
Drive land-and-expand on a consumption model: identify usage growth, surface new use cases, and bring new teams onto the platform.
Keep pipeline hygiene and forecasting tight in the CRM, working fluently across a modern outbound and sales stack.
Feed market signal back to GTM and product to sharpen positioning, packaging, and the roadmap.
What We're Looking For:
Proven track record closing enterprise deals in big pharma and biotech, ideally within R&D and the drug discovery process (target discovery, lead optimization, translational, and adjacent workflows).
Working fluency with MEDDPICC (or a comparable methodology) and the discipline to run it consistently across a complex cycle.
Experience selling a consumption-based or usage-based platform, with command of the forecasting and expansion dynamics that come with it.
Strong scientific literacy: you can discuss experimental design, evaluate data sources, and hold your own with R&D and computational biology stakeholders. Background in biology, computational biology, or biomedical science strongly preferred.
Intellectual curiosity: you go deep on both the science and the technology, ask sharp questions, and keep learning in a field that is moving fast.
Comfort navigating long, multi-stakeholder enterprise cycles through technical champions, procurement, and senior economic buyers.
Self-starter who thrives in an early-stage environment with limited reference customers and process that is still being written.
Excellent communication: crisp written proposals, clear presentations, and credibility in both the boardroom and at the bench.
Nice to Haves:
Experience at the intersection of AI/ML and life sciences: computational biology platforms, LLM-powered or agentic tools, or data analytics for pharma.
A repeatable track record of converting pilots and POCs into production at enterprise scale.
Prior startup or founding-team experience.
Existing network across biopharma R&D and biomedical data ecosystems.
Familiarity with knowledge graphs, multi-omics data, or biomedical NLP.
Fluency with a modern sales stack and a bias toward clean CRM discipline.
Why Join Us?
Competitive salary and equity share in building the future of biomedical discovery
Full medical, dental, and vision coverage, including free therapy sessions and eyewear stipend
401(k) to help you build long-term financial security (US only)
Unlimited PTO to recharge when you need it (US only)
Lunch and snacks when you're in the office
Regular team offsites and company events
A culture of excellence and speed - we move fast, think big, and support each other every step of the way
Your work will directly impact our mission to 100X biomedical discoveries through AI
About Phylo
Phylo is an applied research lab building agentic intelligence to accelerate discovery for every biomedical scientist. We believe AI agents will fundamentally transform how biomedical research is done. Our fast-growing team brings together researchers and engineers across AI and biology, commercializing the Biomni platform.
Our growing team brings together world class researchers and engineers across AI and biology. Backed by a $13.5M seed round led by a16z, Menlo Ventures and Anthropic, and advised by Nobel Prize laureate and pioneering biologists, Phylo is building the next generation of AI systems for the life sciences.
About the Role
We don't always have the perfect role posted for every exceptional person - but we're always looking for them. If you're excited about applying frontier AI to real biomedical science and you don't see a title that fits, apply here to reach us!
Send us a short blurb on what you're best at and one thing you've built, shipped, or discovered - and share a link.
What You'll Work On:
Whatever you're exceptional at. We're a flat, fast-moving team, and the best people here define their own mandate rather than wait for one.
Real problems at the frontier of AI and biology - from the agent platform itself to the science, infrastructure, product, and commercial work that gets it into the hands of scientists.
End-to-end ownership. You'll pick things up unprompted, diagnose before you design, and see them through.
Requirements:
High agency: you handle things end-to-end and don't need a playbook handed to you.
AI-native: you use AI to multiply your output and have a strong instinct for where it's high-leverage.
Low-ego, can-do, and easy to work with.
A concrete track record of something you personally built, shipped, sold, or discovered. We care more about demonstrated ability than a particular credential.
Able to be in our South San Francisco office five days a week (some roles can be hybrid - tell us your constraints).
Nice to Haves:
Genuine interest in biology, drug discovery, or AI for science.
Startup or founding-team experience in an early, ambiguous, under-resourced environment.
Experience on AI-native teams that use coding agents and automation extensively.
Why Join Us?
Competitive salary and equity share in building the future of biomedical discovery
Full medical, dental, and vision coverage, including free therapy sessions and eyewear stipend
401(k) to help you build long-term financial security (US only)
Unlimited PTO to recharge when you need it (US only)
Lunch and snacks when you're in the office
Regular team offsites and company events
A culture of excellence and speed - we move fast, think big, and support each other every step of the way
Your work will directly impact our mission to 100X biomedical discoveries through AI
About Phylo
Phylo is an applied research lab building agentic intelligence to accelerate discovery for every biomedical scientist. We believe AI agents will fundamentally transform how biomedical research is done. Our team brings together engineers, AI researchers, and scientists to build systems capable of carrying out complex scientific work.
About the Role
We’re looking for an engineer with research or production experience in AI agents to build and evaluate systems that make our agents capable, reliable, and measurably better.
The model is only one part of an agent; the harness shapes how it plans, uses tools, manages context, coordinates work, and recovers from failure. You will own these systems in production and build evaluations to measure whether changes improve performance. The work includes bringing the latest advances and original ideas into production. The ideal candidate combines strong engineering execution with a quantitative mindset and an interest in AI agents for scientific discovery.
What you’ll do as a Member of Technical Staff - Agent Engineer at Phylo:
Advance the agent harness by bringing the latest research and open-source developments into production and experimenting with new approaches to multi-agent coordination, model routing, memory, planning, and tool use.
Build rigorous evaluations that measure agent quality, reliability, latency, and cost on representative scientific tasks.
Monitor agent quality in production, troubleshoot failures quickly in high-ambiguity situations, and translate findings into engineering improvements.
Collaborate on reliable infrastructure for long-running sessions, safe sandboxed execution, background work, and subagents.
Partner with scientists and engineers to evaluate and productionize new agent capabilities.
What We're Looking For:
Strong software engineering experience building production backend systems, infrastructure, or distributed systems.
Research or production experience in machine learning, or another quantitative discipline.
Familiarity with LLM APIs, tool calling, agent runtimes, or workflow orchestration.
Strong quantitative judgment and the ability to determine whether an apparent improvement is real, reproducible, and meaningful.
Ability to move between research questions, data analysis, system design, and production implementation.
Experience or strong interest in AI for science, scientific agents, computational research, or automated scientific discovery.
Experience working in AI-native teams that use coding agents or automation extensively.
High ownership, clear communication, and strong engineering judgment.
We care more about demonstrated ability than a particular credential. Relevant backgrounds may include ML or LLM engineering, academic research paired with substantial software development, scientific computing, or production systems engineering with demonstrated quantitative experience.
Nice to haves:
Experience with LLM evaluations, human evaluation, model judges, replay testing, benchmark design, or experiment tracking.
Experience applying classical machine learning methods alongside LLMs in production systems.
Experience with task queues, event streams, Kubernetes, code sandboxes, or durable workflow systems.
An advanced degree or equivalent experience in machine learning, computational biology, physics, applied mathematics, statistics, or a related field.
Why Join Us?
Competitive salary and equity share in building the future of biomedical discovery
Full medical, dental, and vision coverage, including free therapy sessions and eyewear stipend
401(k) to help you build long-term financial security (US only)
Unlimited PTO to recharge when you need it (US only)
Lunch and snacks when you're in the office
Regular team offsites and company events
A culture of excellence and speed - we move fast, think big, and support each other every step of the way
Your work will directly impact our mission to 100X biomedical discoveries through AI
About Phylo
Phylo is an applied research lab building agentic intelligence to accelerate discovery for every biomedical scientist. We believe AI agents will fundamentally transform how biomedical research is done. Our fast-growing team brings together researchers and engineers across AI and biology, commercializing the Biomni platform.
Our growing team brings together world class researchers and engineers across AI and biology. Backed by a $13.5M seed round led by a16z, Menlo Ventures and Anthropic, and advised by Nobel Prize laureate and pioneering biologists, Phylo is building the next generation of AI systems for the life sciences.
About the Role
This is a hands-on individual contributor role. You’ll shape priorities with the founding team, build the foundations for how we bring products to market, and help define how product marketing contributes to Phylo’s overall brand and marketing strategy. You’ll own work from the initial idea through writing, launch, and follow-through, working closely with product, engineering, scientific, and commercial colleagues. There is plenty of opportunity to take on broader brand and marketing ownership as the company grows.
Develop positioning grounded in customer work. Understand the problems scientists are trying to solve, how they work today, and why they choose Biomni Lab. Turn those insights into clear messages for scientific users and pharma decision-makers. Bring a recommendation, test it in conversations, and refine it as the product develops.
Build customer stories from evidence. Work directly with customers and our Forward-Deployed Strategists to identify useful workflows, document the starting point and results, and understand what we can credibly say. Personally write case studies, use cases, and walkthroughs; coordinate scientific review and customer approval; and get them in front of the right audience.
Own product launches. Define the audience, message, and launch plan with the product team. Write the copy, develop demos and supporting materials, coordinate contributors, and learn from what people try and use after launch.
Run a focused marketing plan. Prioritize the stories and launches that matter, manage reviews and deadlines, and own distribution. Measure useful customer conversations, adoption, and contribution to qualified opportunities alongside engagement.
Inform Phylo’s broader brand and marketing strategy. Bring customer insights, positioning, and launch learnings to the founding team to help shape the company story, priority audiences, and where marketing should focus.
Hands-on experience taking AI products to market is required. You’ve personally owned positioning, launches, demos, and customer materials for a product whose core value depends on AI. You can explain its capabilities and limitations, translate them into credible customer value, and show work you created and shipped.
The ability to follow a research workflow, ask useful questions, and communicate credibly with scientists and R&D leaders. Experience in pharma, biotech, or life sciences is strongly preferred, whether within those organizations or marketing software for scientific R&D, but if you're unfamiliar, the ability to very quickly learn and ramp up is extremely valuable.
An AI-native way of working: you use AI tools effectively in your daily work, but have strong product and creative taste.
Excellent writing and editing. You can explain a complex capability clearly and simply, and concretely demonstrate relevance to scientists.
Strong customer / user interviewing skills and good evidence judgment: you know what a result supports, what remains uncertain, and what you need to ask next.
Strong execution in a small team. You can make a recommendation, resolve conflicting feedback, and carry a project through without a large supporting organization.
This is a 5 days a week role out of our South San Francisco office (close to Caltrain).
Why Join Us?
Competitive salary and equity share in building the future of biomedical discovery
Full medical, dental, and vision coverage, including free therapy sessions and eyewear stipend
401(k) to help you build long-term financial security (US only)
Unlimited PTO to recharge when you need it (US only)
Lunch and snacks when you're in the office
Regular team offsites and company events
A culture of excellence and speed - we move fast, think big, and support each other every step of the way
Your work will directly impact our mission to 100X biomedical discoveries through AI