Principal Product Manager, Directed Workflows
New
Z
ZillowFintech, AI
U.S. employees may live in any of the 50 United States, with limited exceptions.Full-TimePrincipal
SalaryIn California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC the standard base pay range for this role is $178,300.00 - $284,700.00 annually. In Colorado, Hawaii, Illinois, Maine, Minnesota, Nevada, Ohio, Rhode Island, Vermont, and Virginia the standard base pay range for this role is $169,300.00 - $270,500.00 annually.
Apply NowOpens the employer's application page
Job Details
- Experience
- 10+ years
- Required Skills
- Data AnalysisProduct ManagementStrategy
Requirements
- Bachelor's degree in Computer Science, Engineering, Business, or a related field, or an equivalent combination of education and experience.
- 10+ years of product management experience, including ownership of complex systems spanning multiple teams and customer or operator journeys.
- Demonstrated experience shipping agentic or decisioning products as a closed loop.
- Proven success designing AI harnesses and evaluation infrastructure to prove and improve outcomes.
- Experience shaping sales or service strategy with business leaders, tying process design to customer jobs and value delivery.
- Strong analytical ability using data, experimentation, and model/product evaluation to improve conversion, quality, or operator productivity.
- Track record of influencing senior Engineering, AI, Operations, and business stakeholders.
Responsibilities
- Define and lead a multi-year product vision for Directed Workflows as an AI-first service system spanning engagement and loan production.
- Define, with Sales and Business Operations, the sales and service process this system encodes: customer jobs, value at each stage, and how that experience earns attention and advocacy.
- Design the AI harness that turns that process into AI agent behavior: context engineering, tool design, memory, orchestration, and guardrails.
- Own the eval infrastructure to score AI agent output against the intended process, learn from operator feedback in production, and run experiments.
- Sequence from high-leverage pilots to platform, expanding successful patterns across the financing journey.
- Influence senior Engineering, AI, Operations, and business stakeholders regarding strategy, trade-offs, and execution.
View Full Description & ApplyYou'll be redirected to the employer's site
