Open Call for Founders / Founding Teams - Product Management and Engineering
WFA Digital Insight
Mercury is looking for ambitious founders and small technical teams to drive AI product innovation, mirroring the company's own origins in building groundbreaking technology. This open call for founders and teams offers a unique chance to shape the future of AI products, working closely with customers to identify and solve real problems. By emphasizing autonomy, fast iteration, and honest measurement, Mercury aims to replicate the successes of its existing products, such as Command and MCP, which have made significant impacts in the fintech and SaaS industries.
Job Description
Open call for Founders / Founding Teams (Product Management / Engineering roles)
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.
At Mercury, we’re looking to accelerate several of our AI products that our customers love like Command, CLI, and MCP. 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. 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
Here are some things you’ll do on the job:
- 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.
- Build and automate the workflow end to end using Command, CLI, MCP, and the rest of our AI stack.
- Ship to customers fast — quick understanding, tight iteration, deploy.
- Measure the impact honestly, then do the next one. Kill what didn't move; double down on what did.
- Run as an autonomous team — pick the target, ship the thing, own the outcome.
You should:
- Have shipped something real - a product, a tool, a company, or an open-source project people actually use.
- Be dangerous across the stack: PMs who can prototype, engineers with product taste.
- Have strong opinions about AI products and the judgment to recognize fast when one of them is wrong.
- Hands experience building AI products with AI, and knowledge about RAG, evals, agent harnesses a plus
- Move fast and measure. Expect most experiments to fail and treat that as the price of finding the ones that don't.
- Care about craft where it's impactful and resist polishing what isn't.
- Communicate clearly and own outcomes - we want real business impact, customer time/pain saved, and a path to scaling what works
Learn more about what we're building:
- Mercury Command — Complete financial work end-to-end with AI. Tell Mercury what to do in natural language; it stages the action and executes with your approval.
- Mercury MCP & CLI — Give your AI agents direct access to verified financial data, or work with your Mercury account straight from the terminal.
- The bank of the future knows your business — Immad on what we're building toward and why now is the moment.
What happens next?
Submit your application and our recruiting team will follow up. We're genuinely open to connecting with founders and teams at any stage — whether you're a strong fit for something we're actively building toward right now, or this is the start of a longer relationship we pick back up when the opportunity is right. If you're building, we want to know you.
Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers. As this is a general interest application, compensation ranges will be shared by our recruiting team if you move forward for a specific role.
Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC.
Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.
How to Stand Out
- Highlight Your Versatility: Show how you can work across different aspects of AI product development, from concept to deployment.
- Prepare to Talk About Failures: Be ready to discuss projects that didn't work out and what you learned from them, as this demonstrates your ability to iterate and improve.
- Showcase Your Communication Skills: Use your application and any interviews to demonstrate clear, concise communication, as this is key to success in an autonomous team environment.
- Research Mercury's Products: Familiarize yourself with Command, CLI, and MCP to understand how you can contribute to their development and expansion.
- Be Ready to Discuss Your Vision: Come prepared to talk about your ideas for AI products and how they align with Mercury's mission and existing work.
- Ask About Autonomy and Feedback: Inquire about how autonomy is supported within the company and how feedback is given and received, to ensure you understand the work culture.
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