AI Product Manager: Real Estate Agents (Remote)

PenFed Credit Union; Tysons (VA); Ibrido; USD 79.000 - 166.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health, dental, vision plans

401(k) match

Paid parental leave

Education assistance

Descrizione del lavoro

Berkshire Hathaway HomeServices PenFed Realty is seeking an AI Product Manager to own the design, delivery, and adoption of AI agent products across the PenFed IT portfolio. This fully remote role is open to candidates nationwide in the United States and emphasizes hands-on prototyping and production deployment.

You will drive end-to-end AI capability development, from problem definition to live production, while coordinating with AI developers and business stakeholders to ensure measurable

Competenze

• Bachelor's degree in computer science, Information Systems, Business, or a related field.
• Minimum of three years of product management, technical program management, or software engineering experience, including at least one AI or machine learning powered feature shipped to production users and measured after launch.
• Hands-on development ability sufficient to independently prototype, build, and deploy AI agents, including working proficiency in Python and comfort operating in a source-controlled development workflow.
• Experience with an agent development framework such as the Agent Development Kit (ADK), LangGraph, CrewAI, or a comparable platform.
• Experience with Google Cloud Platform; familiarity with the Gemini Enterprise Agent Platform, Vertex AI, or Agent Engine preferred.
• Working fluency in AI evaluation, including the ability to design evaluation sets and grading criteria, distinguish deterministic, model-graded, and human evaluation methods and know when each applies, interpret results honestly, and explain why a capability that demonstrates well can still fail in production.
• Experience integrating automated evaluation into a release process, using tooling such as Agent Evaluation on the Gemini Enterprise Agent Platform, LangSmith, Phoenix, DeepEval, or a comparable framework.
• Experience building or operating continuous integration and deployment automation and connecting AI development workflows to Jira and Confluence.
• Familiarity with AI cost management, including token consumption monitoring, model selection tradeoffs, and prompt and context efficiency.
• Practical knowledge of prompt engineering, retrieval-augmented generation, tool calling, and agent orchestration patterns.
• Ability to query and analyze data independently using SQL or an equivalent analytics tool.
• Written communication is strong enough to withstand engineering scrutiny, producing requirements that generate specific questions about edge cases rather than broad confusion about intent.
• Experience delivering technology in a regulated industry preferred; real estate, mortgage, title, or financial services background is an advantage.
• Proficiency with Jira, Confluence, and GitHub.
• Demonstrated experience using AI tools in daily work is required.

Mansioni

• Own the roadmap for AIPA and its sub-agents end to end, including prioritization decisions behind what gets built.
• Build working prototypes of proposed agent capabilities using AI-assisted development tools, delivering a functional demonstration instead of a prep document.
• Build and ship agents directly using ADK and Agent Studio, deploying to Agent Runtime with production‑level iterations.
• Create and own evaluation sets to define acceptable performance for each agent, combining deterministic checks, model-graded rubrics, and human review.
• Treat evaluations as the test suite for non-deterministic software, running them against prompts, model upgrades, tool changes, and data source changes.
• Monitor live agent quality in production and expand test sets with new edge cases.
• Evaluate and implement the automated AI development framework, from Jira backlog to deployment with Confluence as design records.
• Monitor token cost and optimize model selection and prompt design to reduce cost without sacrificing quality.
• Document escalation paths, guardrails, and rollback procedures for agent errors before launch.
• Partner with Legal, Compliance, and brokerage leadership to ensure regulatory alignment and human review requirements.
• Assess AI use cases for business value and feasibility; evaluate Gemini capabilities and Model Garden options for build-vs-buy decisions.
• Write precise data dependencies, tool and integration needs, latency expectations, and acceptance criteria.
• Identify and manage data sources and grounding for agent responses, coordinating with data owners.
• Apply enterprise agent governance controls and shepherd agents through security and privacy reviews.
• Collaborate with sales, branch management, operations, and staff to translate pain points into agent capabilities.
• Drive measurable adoption of AI tools with Learning and Development and report usage, quality, and business outcomes.

Conoscenze

AI product management

Python

SQL

Jira Confluence GitHub

GCP

Formazione

Bachelor's degree in CS or related

Strumenti

ADK

LangGraph

Vertex AI

Gemini Enterprise Platform

Descrizione del lavoro

Berkshire Hathaway HomeServices PenFed Realty is seeking an AI Product Manager to own the design, delivery, and adoption of AI agent products across the PenFed IT portfolio. This fully remote role is open to candidates nationwide in the United States and emphasizes hands-on prototyping and production deployment.

You will drive end-to-end AI capability development, from problem definition to live production, while coordinating with AI developers and business stakeholders to ensure measurable