
Fast Models Optimized for Coding Agents
Company: Morph
Location: San Francisco, in person
Comp: Base + commission + meaningful equity
Morph builds fast models for coding agents.
Our models help agents search code, apply edits, compress context, and run faster in production.
We sell to AI coding companies, devtools companies, and engineering teams building with agents.
Morph’s hot takes:
This is a hands-on sales role and you’ll will work directly with the founder to turn founder-led sales into a repeatable GTM motion.
Your job is to create pipeline, run discovery, demo the product, close customers, and write down what works.
You are a technical founding seller.
You may be:
You should be comfortable talking about APIs, developer workflows, AI coding agents, latency, reliability, deployment, and enterprise engineering constraints.
You can build pipeline, close customers, and sell to technical buyers
You follow up hard, write clearly, and learn fast
You have high agency, thrive without structure, and want ownership
You are willing to do unscalable things
What we do not want
You need a system set up before you can sell
You are strongest at scaling someone else’s machine
You prefer strategy over customer calls
In your first 30 days, you will:
Learn the product, sit in on founder-led sales calls, and talk to customers
Build account lists, start outbound, and take over follow-up
Write the first version of our ICP and messaging
Own a segment of pipeline, run discovery and demos, and create qualified opportunities
Close founder-assisted deals and improve the sales process
In your first 90 days, you will:
Close revenue without the founder driving every step
Show a repeatable path to pipeline
Know which customers to focus on and which objections matter
Help decide the next GTM hire
We will ask you to:
We care about slope, hunger, judgment, and whether you can sell to companies with coding agents
Send whatever best shows that you can sell technical products and learn fast.
Past numbers, deal stories, customer emails, outbound examples, founder references, or a short note are all useful.
Hypothetical Scenario
Morph builds specialized code-generation models and serves them on a custom inference stack.
Technical work involves autoresearch for kernels and custom speculative-decoding models.