Technical Product Owner — AI

Mutual of Omaha Mortgage•Irvine, CA

1d•Hybrid

About The Position

Mutual of Omaha Mortgage is hiring a Technical Product Owner — AI to own the performance and lifecycle of our AI products. This is a hands-on, technical role for someone who can take AI products from 0-to-1: scoping the problem, shaping prompts, partnering with engineering and data, instrumenting outcomes, and driving measurable lift on conversion, containment, and customer experience metrics. You will sit on the AI Initiatives team and own a portfolio that spans voice and SMS AI agents, agent-assist tooling, and the data and observability foundation that keeps them performant.

Requirements

5+ years in technical product management, product ownership, or a comparable applied AI/ML product role, including direct ownership of a production AI or ML product’s performance metrics
Demonstrated 0-to-1 experience — you have shipped at least one product from blank-page concept to live, measured users, and can speak credibly about what worked, what failed, and why
Hands-on prompt engineering — you have written, evaluated, and iterated on production prompts for LLM-based products (chat, voice, SMS, agent-assist, or similar)
Strong SQL — comfortable writing multi-table joins, window functions, and CTEs without help; can pull and analyze your own data on Databricks, SQL Server, or equivalent
Data fluency — comfortable with funnels, cohort analysis, and basic statistical reasoning; able to build a dashboard or explanatory chart yourself
Technical literacy — you can read REST API docs, trace a webhook, and discuss system design with engineers without needing translation
Operating rigor — strong written communication, structured PRDs, clear success criteria, and a track record of holding yourself and your partners to measurable outcomes
Salesforce experience — hands-on experience working with Salesforce as a product owner, admin, or power user; comfortable with objects, flows, reports, and SOQL
Mortgage industry experience — direct experience with mortgage operations, loan origination, or servicing (HECM/reverse, forward, or related)

Nice To Haves

Experience with conversational AI platforms (Bland AI, ElevenLabs, Twilio, Five9, or similar) and contact center architecture
Startup or early-stage product experience — comfort operating in ambiguity, building from scratch, and moving fast without heavy process
Familiarity with Databricks and the Lakehouse/Medallion data architecture pattern
Familiarity with NIST AI RMF and U.S. state AI law landscape (Colorado, Texas, California, Utah)

Responsibilities

Define, instrument, and report on KPIs for each AI product — including containment rate, goal completion, AI resolution rate, conversion, drop-off, and revenue attribution
Run weekly performance reviews on live AI products; identify regressions, root-cause them across prompt, model, data, and integration layers, and drive fixes to closure
Build and maintain QA sampling frameworks and call/conversation review processes; turn qualitative findings into prompt and flow changes
Take new AI use cases from concept to production: write the PRD, define success metrics, scope the MVP, partner with engineering and vendors on build, and lead the launch
Run structured POCs (typically 30–90 days) with clear hypotheses, evaluation rubrics, and go/no-go criteria
Own vendor evaluations end-to-end — requirements, scoring, reference checks, contract input, and onboarding through the EVMP and AI governance processes
Author, version, and tune prompts for voice agents, SMS agents, and assistive AI tools across the customer and loan officer journeys
Design and run prompt evaluations: build eval sets from real conversations, score outputs against rubrics, and iterate systematically rather than anecdotally
Translate operational requirements (compliance disclosures, escalation rules, brand voice, edge cases) into prompts, tools, and guardrails the model will actually follow
Write production-quality SQL against Databricks, Salesforce, Encompass, and call/conversation log sources to investigate performance, build dashboards, and answer ad-hoc questions
Partner with data engineering on the schemas, pipelines, and event tracking needed to measure AI product performance
Read API documentation, debug integrations, and reason about call flows, webhooks, and tool-use patterns at a level where you can have a substantive conversation with engineers
Serve as the single point of accountability for assigned AI products: align stakeholders across Sales, Operations, Compliance, Legal, and Engineering
Contribute to AI governance reviews and ensure products meet NIST AI RMF expectations and applicable state AI law requirements

Benefits

Vacation — Vacation hours accrue on a per pay period basis. Balance maximums are based on years of service.
Paid Sick Time — 40 hours of paid sick time after 90 days of employment. State sick time requirements will be added as needed.
9 Paid Holidays + 1 Cultural Celebration Day (Floating Holiday)
Multiple PPO Medical Plans, as well as HDHP eligible plan.
Dental Coverage
Vision Coverage
Company Paid Life Insurance
401K with a generous employer match
Additional Benefits including – Optional Life, FSA, Pet Insurance etc.
Free Legal Services
Employee Loan Program