GTM, Biopharma

Posted 5 Days Ago
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Hiring Remotely in Office, Machaze, Manica, MOZ
Remote or Hybrid
150K-190K Annually
Mid level
Artificial Intelligence • Healthtech • Software • Generative AI
The Role
Build Triomics' biopharma commercial motion from scratch: map the market, define strategy, prospect and close enterprise deals, translate product value to life sciences buyers, and feed market insights to Product and cross-functional teams.
Summary Generated by Built In
About Triomics

Triomics is building the AI infrastructure for modern oncology. Across the U.S., cancer care providers rely on highly trained staff to manually review unstructured patient records such as pathology reports, clinical notes, genomic panels, and scanned faxes to support workflows like matching patients to the right clinical trials, preparing for upcoming visits, and quality reporting. We replace that manual effort with task-driven AI agents embedded directly into clinical workflows, automatically processing medical records at scale and in real time.

Our platform is trusted by 4 of the top 10 Best Hospitals for Cancer ranked by U.S. News, along with several of the largest community oncology practices. We have grown 10x over the last year and now process millions of oncology medical documents each month.

The Role

We're making our first commercial hire focused on biopharma. This is a build role. You will map a brand-new market, define how Triomics sells into life sciences, and stand up a commercial motion that doesn't exist yet, distinct from our cancer center site deals.

Triomics builds oncology AI for the country's leading cancer centers. Our fully EMR-integrated platform turns dense patient charts into structured clinical data and matches patients to trials. We recently closed a Series B and are scaling from a handful to 25+ enterprise logos. Biopharma is a major part of where we grow next, and right now it's a blank sheet.

The best person for this role comes from a top consulting background, has spent time in or around pharma or health tech, and can hold a credible, strategic conversation with life sciences buyers about how oncology AI changes their work. You'll own the strategy first. You'll also carry it through to the sale, with a compensation structure built to reward what you close.

What You'll Do:
Build the biopharma motion from zero

  • Map the biopharma and life sciences market: where we fit, what to sell, who to sell it to

  • Define the strategy for landing our first accounts, then the repeatable motion behind it

  • Run the full cycle once you've built it: prospecting, discovery, demos with our team, proposal, and close

  • Land a first use case, then grow it across the account

Be strategic and credible with life sciences buyers

  • Translate what our oncology AI does into the language of clinical development, real-world data, and trial operations

  • Build relationships across the buying group: clinical, data, operations, and procurement

  • Bring a consultative, structured approach to complex, multi-stakeholder deals

Own the sale, not just the strategy

  • Carry the deals you build through to closed and expanded

  • Keep a clean, current pipeline and forecast

  • This is where the variable side of your comp lives: you're incented on actually closing

Be a force multiplier across the company

  • Feed the market back into Product: what biopharma needs, what's landing, what's missing

  • Partner with the team on deal strategy and account planning

  • Coordinate with the cancer center side of the business on shared accounts

What Success Looks Like (First 90 Days)

  • You've mapped the biopharma market and have a clear view of your top targets

  • You have a qualified pipeline built and a point of view on what we sell and to whom

  • You've translated the product into a biopharma value story that resonates in discovery calls

  • You're running deals independently with clean forecasting

  • You've closed or meaningfully advanced at least one land opportunity

  • Leadership trusts you to own the function and represent Triomics to sophisticated buyers

Must-haves
  • 2+ years at a top management consulting firm (MBB or similar), then roughly 1 year selling into pharma or a comparable health-tech setting

  • Strong consultative selling instincts: you can run a structured, multi-stakeholder enterprise deal

  • Credibility with sophisticated buyers: you can hold a strategic conversation about clinical development or data

  • High initiative and comfort building a function from zero, with no existing playbook to lean on

  • Excellent communication and executive presence

  • Comfortable being an early, quota-carrying seller reporting directly into executive leadership

Nice-to-haves
  • Direct experience selling into biopharma or life sciences

  • Familiarity with oncology, clinical trials, or real-world data

  • Experience at an early-stage startup building a new GTM motion

  • Exposure to land-and-expand or enterprise expansion selling

  • A network across pharma clinical, data, or operations teams

Skills Required

  • 2+ years at a top management consulting firm (MBB or similar) and roughly 1 year selling into pharma or comparable health-tech
  • Strong consultative selling instincts; can run structured, multi-stakeholder enterprise deals
  • Credibility with sophisticated life sciences buyers to discuss clinical development, real-world data, and trial operations
  • High initiative and comfort building a GTM function from zero without an existing playbook
  • Excellent communication skills and executive presence
  • Comfortable as an early, quota-carrying seller reporting directly into executive leadership
  • Direct experience selling into biopharma or life sciences
  • Familiarity with oncology, clinical trials, or real-world data
  • Experience at an early-stage startup building a new GTM motion
  • Exposure to land-and-expand or enterprise expansion selling
  • A network across pharma clinical, data, or operations teams
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The Company
76 Employees
Year Founded: 2021

What We Do

Triomics is a generative AI platform built for oncology workflows. It helps academic and community cancer centers transform unstructured medical-record data into point-of-care insights, including clinical-trial screening, pre-charting, and clinical-data curation. Its platform uses AI agents to read longitudinal patient records and produce structured, explainable outputs, enabling care teams, research teams, and health systems to act faster on information already in the chart.

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