Founding GTM, BD

Tamarind Bio, Inc

$100K — $150K *
Pharmaceuticals & Biotech
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Experience in a sales or SDR role, ideally at a startup or selling technical products.
  • Comfort engaging with technical audiences such as scientists and researchers.
  • High agency with the ability to operate in ambiguity and build from the ground up.
  • Strong written and verbal communication skills.
  • Willingness to work onsite in San Francisco and travel as needed.
  • Curiosity and interest in AI, drug discovery, or life sciences.

Responsibilities

  • Build pipeline through innovative methods including scientific papers and partnerships.
  • Design and execute outbound campaigns via email, LinkedIn, and other channels.
  • Engage deeply with scientists, ML researchers, and pharma stakeholders to convey value.
  • Qualify and progress leads through complex enterprise sales cycles.
  • Collaborate with founders and engineering to integrate customer feedback into product development.
  • Support field initiatives at industry conferences and events.
  • Help shape Tamarind's initial go-to-market strategy, including messaging and targeting.

Benefits

  • Opportunity to work closely with founders and directly influence company direction.
  • Involvement in building a novel sales approach in a high-growth startup environment.
  • Work at the intersection of cutting-edge AI, biotech, and life sciences.
  • Hands-on experience with innovative technologies and solutions.
  • A chance to engage with top-tier clients in the pharma industry.
Full Job Description
Founding, GTM, Sales & Partnerships
About the Role

We're hiring an exceptional Founding Sales Development Representative as our first GTM hire to help scale our founder-led sales motion with enterprise customers.

We've grown from 0 to multi-million ARR in under two years, working with many of the top 20 pharma companies. You'll partner directly with the founders to build the outbound engine from scratch - defining how we identify, engage, and convert customers across pharma, biotech, and research institutions.

This is not a traditional SDR role. You'll operate as a foundational GTM partner, owning pipeline creation, engaging deeply with technical buyers, and helping shape how Tamarind communicates value to the market.
What You'll Do
  • Build pipeline in creative ways (scientific papers, conference attendees, research labs, partnerships)
  • Design and execute outbound campaigns across email, LinkedIn, and other channels
  • Engage with scientists, ML researchers, and pharma stakeholders - translating Tamarind's capabilities into clear value
  • Qualify and progress leads across complex enterprise sales cycles (biotech 10 pharma)
  • Partner with founders and engineering to incorporate customer feedback into product direction
  • Support field efforts at industry conferences and events
  • Help define Tamarind's early GTM motion - messaging, targeting, and process
Week in the Life
  • Partner with founders on pipeline strategy and messaging
  • Run outbound experiments and iterate quickly based on results
  • Engage with prospects across scientific and technical roles
  • Translate customer conversations into actionable insights for product
  • Support live demos, pilots, and early deal cycles
Ideal Qualifications
  • Experience in a sales or SDR role, ideally at a startup or selling technical products
  • Comfort engaging with technical audiences (scientists, engineers, researchers)
  • High agency - ability to operate in ambiguity and build from zero
  • Strong communication skills (written and verbal)
  • Willingness to work onsite in San Francisco and travel as needed
  • Curiosity and interest in AI, drug discovery, or life sciences
Pluses
  • Experience selling SaaS or technical platforms with large ACVs
  • Background or exposure to life sciences or biotech
  • Experience using tools like Apollo, Clay, or similar
  • Ability to automate workflows or leverage AI tools in outbound
Technology

Tamarind sits at the intersection of DevOps, MLOps, and Computational Biology. We enable scientists to run, fine-tune, and scale AI models (e.g. AlphaFold and beyond) without managing infrastructure - orchestrating workflows across GPUs, APIs, and research pipelines.

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