Staff Product Manager, AI
copia
| Company | copia |
| Category | Data & Analytics |
| Location | New York City |
| Remote | Hybrid |
| Employment | Full-time |
| Level | Manager |
| Salary | Not stated by the employer |
| Posted | 8 Jul 2026 |
| Last verified | 9 Aug 2026 |
| Source | Employer ATS (lever) |
Description
Who you are
We are seeking a Staff Product Manager to lead Copia's fast-growing AI vertical. You're passionate about turning a fast-moving vision into products customers love, and you're happy to sit with ambiguity, test your assumptions, and own the outcome.
You've shipped AI products. You know the difference between a demo that impresses and a feature customers will pay for, and you've taken at least one from zero to revenue.
You have strong product instincts about data. You look at the unique value Copia’s product platform has and see the AI products only we can build. You think in terms of durable advantage.
You're as comfortable with go-to-market as you are with triaging the backlog. Pricing, packaging, where PLG fits, and the narrative that gets a buyer to value. You enjoy working shoulder-to-shoulder with the CEO and Sales on how AI fits the Copia story.
The industrial automation space has lots of industry-specific information most are not familiar with. In your day-to-day, you will learn about a wide variety of industrial automation topics, and you're excited to dig in.
You're interested in Copia's mission, you enjoy interacting with customers, and you want to drive impact in a foundational industry. We're looking for a strong contributor to the overall trajectory of the company.
Bonus points for experience in OT, industrial automation, controls, or cybersecurity, or time spent founding or operating in an early-stage startup.
Finally, you're optimistic. At Copia, we celebrate successes, support each other through unexpected challenges, and approach problems with a positive attitude.
About us
Copia Automation provides best-in-class disaster and recovery technology for industrial automation.
Our product brings modern developer tools to the OT space through our novel Git-based source control for automation professionals, with multiple delivery methods including self-hosted and fully hosted options. We are a well-funded startup with a growing list of happy customers throughout the industrial space.
As a Copia employee, you'll solve challenging, unique, and meaningful problems alongside passionate coworkers, while we change the way everything gets built.
Why industrial automation?
Manufacturing is powered by industrial automation - computerized systems and robotics running on PLCs. This ecosystem uses a unique graphical language that doesn't work with typical developer tools like GitLab or GitHub. Instead, automation professionals rely on physical storage devices, incompatible tools, and incomplete solutions. When minutes of downtime can cost tens of thousands of dollars, better development tools are urgently needed.
Product at Copia
Copia has more context on what's happening inside customer controls environments than anyone else in this market. That context is why Copia can build AI products our competitors can’t replicate. This role decides what those products are.
It's a principal-level role because the scope is designing the AI vision, making it something customers pay for, and figuring out how Copia takes a new product line to market. You'll work through collaboration, experimentation, and ownership - partnering daily with the CEO, whose vision is strong and evolving fast, and turning it into products that ship.
What you'll do:
Own Copia Copilot, our existing AI product: code documentation, legacy code interpretation, logic conversion, and outputs that pull from Copia repos and device backups.
Develop a point of view on what Copia's context actually makes possible: the products only we can build because of what we collect and store for customers.
Set the AI roadmap, moving from code intelligence today through incident response and into autonomous agents and OT cyber resilience.
Write specs and work closely day-to-day with the AI engineering team.
Own monetization and go-to-market: how new AI products and features get priced and packaged, and where PLG fits so customers reach value before a sales conversation.