Careers

Developer Marketing Lead

AI Infrastructure / Developer Ecosystem

Sapien spent two years running one of the largest AI data validation operations in the industry, processing 195 million tasks for companies like Amazon Zoox, MidJourney, and Alibaba. Now we're building the infrastructure we wished existed: PoQ, an open, onchain protocol that gives AI teams verifiable quality signals they can prove, not just claim. We're hiring a Developer Marketing Lead to own our developer go-to-market and drive real adoption and usage across AI labs, agent framework teams, and evaluation infrastructure builders.

Why Join

The core problem in AI right now is verification: how do you prove the quality of the data and judgments that shape how a model behaves. We're building the infrastructure to answer that.
Small team. The people who built this are still here, still writing code and talking to customers. You will work directly with them.
The protocol is running in real production pipelines for enterprises in AI, robotics, and autonomous systems — not a demo.
Competitive salary, equity, and token upside.

Role Summary

We need someone to own developer go-to-market for PoQ. That means figuring out where the right developers are, getting the protocol in front of them, and turning interest into real integrations. You will run programs, build the systems to scale them, and work directly with engineering to make sure what you learn from the market actually shapes the product.

You are measured on integrations and usage, not reach or impressions.‍

This is not a DevRel role focused on meetups and advocacy, and it is not growth marketing for a consumer product.

Core Responsibilities

Developer GTM and Adoption

Build and run the programs that get PoQ into real developer workflows: adapters, hackathons, grants, early partnerships
Find and close design partnerships with AI labs, agent framework teams, and evaluation infrastructure builders
Figure out what is and is not working, and adjust quickly

Technical Marketing

Translate how PoQ works into things AI engineers actually want to read and share
Know where those engineers spend their time: GitHub, Hugging Face, LangChain communities, infra forums, conferences
Produce the assets that matter: reference implementations, integration guides, deep-dive posts, example repos
Build repeatable distribution for those assets rather than publishing and hoping

Metrics

Set the metrics that matter: developers activated, integrations shipped, usage over time
Track what programs are actually driving outcomes and cut what is not

Systems

Build the tooling and workflows that let you run this at scale without it all depending on you personally
CRM, lifecycle messaging, attribution — set it up properly from the start

Product Collaboration

Bring what you learn from developers back into product and engineering
Push back on roadmap decisions when you have evidence from the market that points a different direction

Ideal Background

You have worked in infrastructure, developer tooling, or AI/ML ecosystems. You have marketed or built products that developers chose to use, not just heard about.‍

Relevant environments: AI evaluation pipelines, model training infrastructure, RLHF platforms, agent frameworks, data labeling tooling, developer API products. Familiarity with onchain systems is useful but not a hard requirement.

What We're Looking For

You understand how AI engineering teams think and what they care about
Engineers find you credible
You build systems and processes, not just one-off campaigns
You are precise about what is working and honest when something is not
You communicate clearly and directly

Compensation

Competitive salary plus equity and token upside
Direct access to founders and leadership
Real ownership over a critical part of a live, growing protocol

Apply Now

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