Enterprise Account Executive

Job description

**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