Product Manager - Data Intelligence
Role summary
Rocket Money is seeking a Product Manager for Data Intelligence to lead the AI/ML roadmap for financial insight extraction. This role involves defining technical problem statements, partnering with engineering teams to leverage ML and LLMs, and shipping customer-facing features that turn financial data into money-saving opportunities. You will build and maintain systems for monitoring intelligence outputs, balancing model accuracy, inference speed, and cost. The ideal candidate has 4+ years of product management experience with ML/LLM-driven products, strong technical depth, customer empathy, strategic thinking, and proficiency in SQL. Experience with LLM evaluations and fintech is preferred.
ABOUT ROCKET MONEY 🔮
Rocket Money’s mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.
Please note: We strongly encourage team members to be in the office 1-2 days per week, though there is no formal in-office requirement.
ABOUT THE ROLE 🤹 ♀️
You'll own the intelligence layer that makes Rocket Money smarter for every member. Working at the intersection of machine learning, AI / LLM, and consumer product, you'll partner with a team of Software Engineers and Machine Learning Engineers to extract financial insights from bank transactions, emails, and receipts — then ship front-end experiences that turn those insights into real money-saving opportunities.
This is a partial-platform role: the systems you build will power and enrich features across multiple Rocket Money product teams, as well as supporting your own customer facing features.
- Define the AI-driven data intelligence roadmap
for transaction enrichment, financial insight extraction, and money-saving intelligence — aligning with Rocket Money's broader product vision
- Define technical problem statements and work with engineers to select the right approach,
by mapping engineering the tradeoffs of heuristics, machine learning and LLM approaches to prioritized customer and business outcomes.
- Partner with Software Engineers and Machine Learning Engineers
to develop intelligence systems that leverage both ML models and LLMs to extract structured, actionable insights from bank transactions, emails, receipts, and other financial data
- Ship customer-facing experiences
on top of enriched data — collaborating with Design and front-end engineers to deliver products that surface insights & savings opportunities
- Build and maintain a monitoring and evaluation system
for intelligence outputs — tracking prediction accuracy, extraction quality, insight helpfulness, customer sentiment, and model cost to drive continuous improvement
- Prioritize trade-offs across model accuracy, inference speed, and cost
— particularly as LLM usage scales — to deliver the best member experience within practical constraints
- Collaborate across Rocket Money product teams
to understand how your platform can support and improve their initiatives, features, and OKRs and vice versa
ABOUT YOU 🦄
You have a growth mindset and want to be challenged. You have a high bar and want to be a difference-maker in the organization. You'll bring a sense of urgency that matches the incredible opportunity we have ahead of us.
- 4+ years of experience as a product manager
building products that use machine learning and/or LLMs to improve product dynamism and deliver intelligent, self-learning user experiences
- You have a strong intuition for
when to use heuristics vs. traditional ML vs. LLM-based approaches
and can articulate the trade-offs in accuracy, latency, and cost to technical and non-technical stakeholders alike
- You're comfortable working across the full stack — from
front-end interfaces
that delight customers to the
complex ML pipelines and LLM integrations
that power them
- You possess a unique combination of
technical depth, customer empathy, and strategic thinking
, and are energized by operating at the center of machine learning and consumer product
- You're a master cross-functional collaborator comfortable working with machine learning engineers, software engineers, designers, data analysts, and other product managers to get things done
- You can use data and customer feedback to generate insights, identify opportunities, and tell a story that motivates those around you
- You have an owner's mindset — you don't shy away from the hard stuff. You proactively act on problems, and never wait around to be told what to do.
- You have a passion for our mission: helping to improve the financial lives of millions of people
- Strong analytical skills; competence in
SQL
and experience with tools for data analysis
Preferred Qualifications
- Experience running LLM evals
or building evaluation frameworks for model and extraction quality is a plus
- Background in statistics or computer science
is a plus
- Prior fintech experience
is a plus
WE OFFER 💫
- Health, Dental & Vision Plans
- Life Insurance
- Long/Short Term Disability
- Competitive Pay
- 401k Matching
- Team Member Stock Purchasing Program (TMSPP)
- Learning & Development Opportunities
- Tuition Reimbursement
- Unlimited PTO
- Daily Lunch, Snacks & Coffee
*(in-office only)*
- Commuter benefits
*(in-office only)*
Additional information: Salary range of $120,000 - $160,000/year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skill, and experience.
Rocket Money, Inc is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.\*