Open Call for Founders / Founding Teams - Product Management and Engineering

<p><strong>Open call for Founders / Founding Teams (Product Management / Engineering roles)&nbsp;</strong></p> <p>In 1973 at Xerox PARC, Bob Metcalfe sketched a way for many computers to share a single wire — borrowing the throughput math from his study of Hawaii's ALOHAnet — and he and David Boggs built it and measured it until it held. Behind Ethernet was a two-person team that turned a contested idea into the measured standard now carrying almost all the world's wired traffic.<br><br>At Mercury, we’re looking to accelerate several of our AI products that our customers love like Command, CLI, and MCP.&nbsp; We’re building for ambitious people of all kinds, and are a company made of founders and small technical teams trying to change the world - as part of that, we’re taking open applications for founders or small technical teams (Eng+) that want to work together on building the AI products of the future.&nbsp; This isn't a fixed role. We expect the nature of work is changing, and small teams of people paired with AI product surface and autonomy to build can create 10x outcomes. Apply as a small team or as an individual <br><br>Here are some things you’ll do on the job:</p> <ul> <li>Find the problem. Work close enough to customers that you spot what matters before anyone assigns it to you — then decide it's worth building.</li> <li>Build and automate the workflow end to end using Command, CLI, MCP, and the rest of our AI stack.</li> <li>Ship to customers fast — quick understanding, tight iteration, deploy.</li> <li>Measure the impact honestly, then do the next one. Kill what didn't move; double down on what did.</li> <li>Run as an autonomous team — pick the target, ship the thing, own the outcome.</li> </ul> <p>You should:</p> <ul> <li>Have shipped something real -&nbsp; a product, a tool, a company, or an open-source project people actually use.</li> <li>Be dangerous across the stack: PMs who can prototype, engineers with product taste.&nbsp;</li> <li>Have strong opinions about AI products and the judgment to recognize fast when one of them is wrong.</li> <li>Hands experience building AI products with AI, and knowledge about RAG, evals, agent harnesses a plus</li> <li>Move fast and measure. Expect most experiments to fail and treat that as the price of finding the ones that don't.</li> <li>Care about craft where it's impactful and resist polishing what isn't.</li> <li>Communicate clearly and own outcomes - we want real business impact, customer time/pain saved, and a path to scaling what works</li> </ul> <p><strong>Learn more about what we're building:</strong></p> <ul> <li><a href="https://mercury.com/command&