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Mirendil

AI-driven discovery engine for biology

Member of Technical Staff - Founding GTM

Account ExecutiveConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A CS degree or equivalent technical training and a strong background in machine learning, applied AI, or AI infrastructure, ideally including time at a frontier lab or AI research team; the candidate must be able to hold their own in technical conversations with researchers.
  • Personal experience winning customers for a technical product as a founder, solutions or forward deployed engineer, or early go-to-market hire while the product was still taking shape.
  • Ability to distinguish real buying intent from curiosity and comfort negotiating a commercial commitment.
  • Ability to own work end to end and work side by side with researchers.

Responsibilities

  • Dive deep into a customer’s research or engineering workflow, identify the problem worth solving, and determine whether the company’s models can solve it.
  • Design and run evaluations and pilots by setting up experiments, agreeing on success criteria with the customer, and bringing in researchers and engineers to build and deliver.
  • Turn successful pilots into paid adoption by building the business case, handling pricing and procurement, and closing deals with support from the business team and counsel.
  • Guide customers through onboarding and early use, and bring lessons back into product and model decisions.
  • Prioritize customers and use cases, and document what works so it can be repeated.

Desired Qualifications

  • Experience with scientific or research workflows.
  • Hands-on coding and the ability to build lightweight demos or prototypes.

About the Company

Mirendil

AI-driven discovery engine for biology

Mirendil develops AI models to accelerate breakthroughs in biology and materials science. Its AI discovery engine simulates molecular interactions and explores chemical space to speed up drug and material discovery, potentially integrating with robotic wet labs. Distinguishing factors include its neo-lab model, focusing on niche, science-driven applications rather than general-purpose AI, and a team of researchers from Anthropic and other AI labs with experience in scientific reasoning. The company’s goal is to shorten the time and reduce the cost of research and development by acting as a scientific co-pilot that guides experiments and simulations toward promising discoveries.

Company size
11-50
Company stage
Series A
Total funding
$1.2B
Headquarters
San Francisco, CA
Founded
2026

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