Senior Product Manager, Product SystemsThe OpportunityMost product teams spend their days working the line: chasing status, answering the same questions, rebuilding the same analyses and firefighting. We want to build the factory instead.
As Senior Product Manager, Product Systems, your product is how our product organization works. You'll design and build the systems, data and AI workflows behind our core loops: from idea to business case, spec to test, release to health check, and question to decision. That way the whole org ships more, ships predictably, and makes good decisions faster. You'll start by changing how product management works at Rocket, then extend what works to the broader tech org, and design the scaffold that will drive transformation across the rest of the company.
This is a builder's role. You'll write the occasional spec, but mostly you'll build: agents and tools that PMs, analysts and other non-engineering teams rely on every day.
What You'll DoStreamline the core loops- Map the recurring loops the product org runs on, such as delivery status, impact readouts, funnel health, partner approvals, and roadmap intake. Find where time, quality and clarity leak out.
- Decide which loops to systematize first, using clear success measures (for example, cycle time, share of work running without manual effort, and override rates).
- Bring clarity to messy problems. Define the problem sharply, then co-architect the solution with AI.
Build and prototype- Design end-to-end systems that connect sources of truth to the people and agents that use them. That includes systems of record, the APIs and agent interfaces on top of them, and the workflows that run across them.
- Build working tools yourself: prototypes in days, then harden the ones that earn it into apps people rely on.
- Build and orchestrate AI agents for non-engineering teams. They pull from systems of record, apply rubrics and evals, and hand off to a human only when they should.
- Define what "good" looks like through rubrics, evals and quality bars, so the systems improve over time.
Build for adoption- Treat PMs, analysts, engineers and business partners as customers. Talk to them, watch them work, and design tools they actually want to use.
- Measure adoption and impact, not just launches. Retire what nobody uses.
- Make the systems easy to extend, so other PMs can contribute their own agents and automations.
Lead change- Act as a change agent for how the product org works with AI. Coach, demo, run enablement, and grow a community of builders.
- Start with the product org, then extend to the broader tech org. Partner with Engineering, Analytics and platform teams to co-own systems and raise AI velocity.
- Define the metrics that show the impact of this work across the org, and report the results and wins to senior leadership.
What You'll Need to Succeed- A track record of building real applications end to end yourself, in your job or outside it. You can explain the data model, the APIs and the integration choices, and why you made them.
- Strong systems thinking. You see how information flows between tools and teams, and you can design the plumbing so one system keeps the truth and others use it.
- Hands-on fluency with how AI systems are built: context engineering, APIs, RAG, evals, agent orchestration and MCP. You use coding agents and other AI tools daily and keep up as they change.
- Solid technical foundations: code, logic, databases, APIs, and strong data skills (SQL, Python or similar). You don't need to be the strongest engineer in the room, but you need to build and to earn engineers' respect.
- Product craft. You know that a powerful tool nobody adopts is a failed tool, and you design for the ordinary user, not just for engineers.
- High clarity of thought and excellent written and verbal communication in English. You can make a complex system make sense to an executive and to a new hire.
- Comfort leading change without formal authority, across teams and time zones.
- 5-10 years in product management, with a background in software engineering, including experience developing and launching products.
- A Bachelor's degree in a technical or quantitative field, or equivalent practical experience.
It's Great If You Have- Side projects you're proud of: apps, tools, automations or experiments you built because you were curious. Building is a passion that extends beyond your professional job.
- Experience building internal platforms, developer tools, or workflow automation that changed how a team worked.
- You've rolled out a new tool or workflow across a team: you trained people, gathered feedback, and kept it in use after launch.
This Role Is Probably Not for You If- You'd rather write requirements than build. We need someone who can do both.
- Your best ideas are technical proofs of concept that help engineers but never reach the rest of the business.
- You haven't built anything with AI tools in the past few months.
- You haven't built anything outside of your full-time job.
How We InterviewYour first interview, with the hiring manager, is a show and tell. Bring something you built yourself, at work or outside it. Walk us through the problem, how you architected the solution, the trade-offs you made, and what happened when real people used it. We care more about what you've built and how you think than about polished answers to hypotheticals. You're welcome to use AI tools in the process; we'd like to see how you work with them.
To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.
There are a variety of factors that go into determining a salary range, including but not limited to external market benchmark data, geographic location, and years of experience sought/required. In addition to a competitive base salary, roles are eligible to be considered for an annual bonus and equity grant. The bonus and base range for Chicago - metro area is $137,500 - 187,000 .
Note on general employment requirements
Candidates should be authorized to accept employment in the US from any employer and must be able to work a hybrid work schedule with 2-3 days per week in the stated physical office (unless otherwise indicated).
