Product Owner (AI & Prompt Strategy)
Role details
Job location
Tech stack
Job description
We are seeking a Product Owner (AI & Prompt Strategy) to serve as a prompt-development focused leader for PennyMac's conversational AI initiatives. Operating within a Federated Hub-and-Spoke model, you will sit at the orchestration level across work teams to own the company-wide prompt and persona strategy. Partnering closely with the core engineering team (the "Hub") and leading a team of Product Analysts, you will drive the parallel development and deployment of voice AI agents across CDL/Sales, Servicing, and Fulfillment., * Strategy & Orchestration: Lead the overall product vision for conversational AI agents, owning the company-wide persona, brand voice, and overarching prompt strategy.
- Agent & Sub-Agent Architecture Design: Architect the multi-agent orchestration layer, defining how primary routing agents interpret user intent and seamlessly hand off tasks to specialized, domain-specific sub-agents (e.g., specific agents for Sales vs. Servicing vs. Fulfillment). Establish the logic boundaries, tool access, and context parameters for each sub-agent.
- Iterative Prompt Refinement: Continuously develop, test, and tune complex system prompts, system instructions, and few-shot examples. Optimize these prompts across the AWS tech stack to balance conversational quality, token efficiency, and response latency.
- Prompt Effectiveness Tracking & Analytics: Establish robust tracking frameworks to measure prompt and agent efficacy at a granular level. Monitor specialized metrics such as hallucination rates, contextual accuracy, task completion/containment rates, and user drop-off to drive continuous prompt optimization cycles.
- Stakeholder Alignment: Serve as the central orchestrator across CDL/Sales, Servicing, and Fulfillment teams to negotiate and refine business requirements, ensuring parallel development without technical bottlenecks.
- Testing & Quality Assurance: Define the "Golden Dataset" of test scenarios to feed into engineering's automated LLM-as-a-judge evaluation pipelines. Oversee structured A/B testing initiatives and data analysis to iteratively optimize agent responses against baseline configurations.
- Performance & ROI: Define product strategy and track ROI by aligning AI agent performance to key business KPIs, including Customer Satisfaction (CSAT) and Average Handle Time (AHT).
- Cross-Functional Collaboration: Partner with the engineering team to integrate prompt designs with the core infrastructure, latency management pipelines, and real-time safety guardrails.
Requirements
Do you have experience in System design for system development?, * 5-7 years of Product Management or Product Ownership experience, ideally within mortgage, fintech, or complex customer servicing environments.
- Demonstrated experience with AI/ML products, specifically conversational AI, Large Language Models (LLMs), and deep prompt engineering strategies within an enterprise AWS environment.
- Proven ability to design multi-agent or complex state-machine conversational architectures.
- Strong analytical background with a track record of building effectiveness dashboards, running A/B tests, and utilizing AI-specific metrics (e.g., hallucination tracking, prompt latency) to drive improvements.
- Ability to translate complex business logic into precise technical configurations and natural language flows.
- Exceptional leadership and stakeholder management skills.
Benefits & conditions
Pulled from the full job description
- Tuition reimbursement
- Parental leave
- Health insurance
- 401(k) matching
- Paid time off
- Vision insurance
- Dental insurance, Benefits That Bring It Home: Whether you're looking for flexible benefits for today, setting up short-term goals for tomorrow, or planning for long-term success and retirement, Pennymac's benefits have you covered. Some key benefits include:
- Comprehensive Medical, Dental, and Vision
- Paid Time Off Programs including vacation, holidays, illness, and parental leave
- Wellness Programs, Employee Recognition Programs, and onsite gyms and cafe style dining (select locations)
- Retirement benefits, life insurance, 401k match, and tuition reimbursement
- Philanthropy Programs including matching gifts, volunteer grants, charitable grants and corporate sponsorships, Compensation: Individual salary may vary based on multiple factors including specific role, geographic location / market data, and skills and experience as defined below:
- Lower in range - Building skills and experience in the role
- Mid-range - Experience and skills align with proficiency in the role
- Higher in range - Experience and skills add value above typical requirements of the role
Some roles may be eligible for performance-based compensation and/or stock-based incentives awarded to employees based on company and individual performance. Salary: $90,000 - $150,000 Work Model: OFFICE