Member of Technical Staff, Founding GTM

Mirendil Inc.; San Francisco (CA); On-site; USD 250,000 - 350,000; Full time

Job summary

Mirendil Inc. is seeking a technically adept individual to identify and win our first customers. You’ll work with researchers and engineers to map workflows, run hands-on evaluations, and convert pilots into paid adoption.

You will define who we sell to, what we sell, and how, shaping early GTM strategy. You should have a CS degree or equivalent technical training with a strong ML/applied AI background and a track record of winning customers for a technical product as a founder or early GTM

Qualifications

• CS degree or equivalent technical training in a relevant field.
• Strong background in ML, applied AI, or AI infrastructure.
• Experience at a frontier lab or AI research team is a plus.
• Able to hold own in technical conversations with researchers.
• Demonstrated ability to win customers for a technical product as founder or early GTM hire.

Responsibilities

• Dive deep into a customer’s research/workflow to identify the problem worth solving.
• Design and run evaluations and pilots with defined success criteria.
• Turn pilots into paid adoption: build the business case, pricing and procurement, close deals with support.
• Guide customers through onboarding and early use; feed learnings back into product decisions.
• Prioritize customers and use cases and document what works for repeatability.

Skills

ML/Applied AI

Customer discovery

Technical selling

Cross-functional collab

Education

CS degree or equivalent

Job description

Mirendil is a tech-first company focused on solving core bottlenecks that unlock step-change acceleration across science and technology. Our first goal is to democratize frontier AI R&D across scientific disciplines. We are building a frontier AI research company and training our own models end-to-end.

The Role

We’re looking for a technical person to find and win Mirendil’s first customers. You’ll work directly with researchers and engineers to understand how they work, find where our models and product can make a real difference, prove it through hands‑on evaluations and pilots, and turn that into paying customers. You’ll be the first person in this role, working closely with the founders and our research and engineering teams, so you’ll also shape who we sell to, what we sell, and how.

What You’ll Own

Dive deep into a customer’s research or engineering workflow, identify the problem worth solving, and determine whether our models can solve it.

Design and run evaluations and pilots: set up experiments, agree on success criteria with the customer, and bring in our researchers and engineers to build and deliver.

Turn successful pilots into paid adoption: build the business case, handle pricing and procurement, and close deals, with support from our business team and counsel.

Guide customers through onboarding and early use, and bring what you learn back into product and model decisions.

Prioritize customers and use cases worth our time, and document what works so we can repeat it.

Who You Are

You have a CS degree or equivalent technical training, and a strong background in ML, applied AI, or AI infrastructure, ideally including time at a frontier lab or AI research team. You can hold your own in technical conversations with researchers.

You’ve personally won customers for a technical product, as a founder, solutions or forward deployed engineer, or early GTM hire, while the product was still taking shape.

You can tell real buying intent from curiosity, and you’re comfortable negotiating a commercial commitment.

You like owning things end to end and working side by side with researchers.

Experience with scientific or research workflows is a big plus, as is hands‑on coding and the ability to build lightweight demos or prototypes.

If you want to be the person who figures out where frontier research meets real customers, we’d love to hear from you.

We offer a base salary of 250,000 - 350,000 USD and a meaningful equity grant, depending on experience and background, along with competitive benefits.

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