Group Product Manager — AI & Enterprise Automation
Breckenridge, CO | 303-594-7035 | MeghanWeeder@outlook.com | LinkedIn
Strategic design partner to Google Cloud, providing critical product feedback to shape the early stages of enterprise AI software. Group Product Manager and operations leader with 8+ years across product, lending operations, and enterprise automation. Leads enterprise AI strategy and platform development, including cross-functional product teams, multi-agent ecosystems, hybrid LLM architecture, and automation portfolios supporting 4,700+ users and 6.5M+ LLM queries. Defines AI investment strategy, prioritizes multi-quarter roadmaps, and translates emerging technology into measurable operational capacity, cost reduction, and scalable product infrastructure. Recognized with a 100/100 “Exceeds Expectations” performance rating for leadership of company-wide AI transformation.
AI Product & Platforms: Agentic AI, multi-agent systems, LLM/SLM architecture, RAG, computer use, evaluation and observability
Product Leadership: Product strategy, multi-quarter roadmaps, portfolio governance, resource allocation, go-to-market, unit economics
Automation & Operations: Workflow automation, process redesign, call QA, change management
Data & Engineering Tools: SQL, BigQuery, Snowflake, Azure DevOps, Cursor, MCP, Salesforce, Airtable
Executive Leadership: Cross-functional leadership, AI investment strategy, executive stakeholder management, team development and mentorship
Group Product Manager — AI & Enterprise Automation | January 2025 – Present
Progressed from individual-contributor product roles into people leadership. Now leads direct reports and directs enterprise AI product strategy, multi-agent platform architecture, and cross-functional product teams across sales, underwriting, servicing, and finance. Manages portfolio resource allocation, multi-quarter roadmap prioritization, and executive stakeholder alignment. Recognized with a 100/100 “Exceeds Expectations” evaluation for leading company-wide AI transformation.
Strategic Design Partner to Google Cloud: Collaborated directly with Google engineering on Enterprise Gemini early-stage software; successfully influenced their product roadmap over four months to prioritize accessible observability metrics for low-code agents, enabling first-of-their-kind usage tracking for decentralized builders.
Directs strategy and cross-functional execution across specialized AI product teams (Agents, Platform Architecture, and Innovation), allocating engineering resources, prioritizing multi-quarter roadmaps, and establishing AI investment frameworks aligned with C-suite operational goals.
Scaled enterprise AI infrastructure to capture 58,000+ YTD capacity hours saved across cross-functional operations through automated agentic pipelines.
Spearheaded Gemini Enterprise deployment to 4,784 unique users processing 6.55M+ YTD queries, driving a 257% query-volume increase (244K to 1.09M peak monthly queries) and a 404% increase in monthly hours saved (3,214 to 16,211 hours/month).
Transitioned NAF from isolated pilots to weekly production release trains (AI Business and AI Internal) by building a reusable agent platform (Phoenix architecture, Agent Minter, and automated evaluation harnesses), expanding the active agent catalog from 48 to 105 deployed agents.
Pioneered a computer-use agent framework to automate UI-only vendor portals, lock desk tools, and legacy admin consoles without APIs, generating significant Year-1 net value per workflow and a multi-hundred-thousand-dollar modeled portfolio opportunity across prioritized workflows.
Concepted and managed primary origination agents, including the Loan Scenario Agent (3,303 unique LO users, 503,481 lifetime responses, approximately 83% of platform volume) and Income Calculator Agent (1,182 users, 53,548 responses, averaging approximately 8 uses per user per week).
Scaled call quality audits 33x, from 300 manual reviews per week to approximately 10,000 automated scorings per week across six scorecards; evaluated hundreds of thousands of calls at a nominal per-call cost, saving 60–66 hours per week and identifying a six-figure annual FTE redeployment opportunity.
Deployed an enterprise builder stack (Knowledge MCP, Cursor across approximately 315 active users, and Dev Assist for 1,400+ PR reviews per month) and established an AI Champion Network, enabling Finance to launch seven Income Flux agents in one week.
Directed engineering squads to complete 912 of 916 AI work items, a 99.6% sprint completion rate.
Product Manager, Customer Acquisition & Loan Origination | January 2022–2024
Owned product strategy, feature roadmap prioritization, and system integrations for customer acquisition and origination platforms.
Led real-time prequalification data integration with Experian, expanding prequalified loan application volume by 15%.
Directed the Salesforce Sales Cloud implementation within six months, increasing sales-agent productivity 10x through custom automated workflows.
Optimized ancillary-product funnel attachment, adding $125 in revenue per loan and increasing overall revenue per loan by 12%.
Streamlined loan origination workflows, reducing processing time by 10% and variable labor costs per loan by 5%.
Director, Lending Operations | June 2019–January 2022
Directed daily operations across five functional divisions with 53 direct reports, scaling organizational infrastructure to align with executive sales goals.
Scaled operational capacity from 450 to 4,500 funded loans, supporting 10x volume capacity and a 188% increase in actual funding volume while improving cross-departmental data accessibility.
Established three self-managing operational sub-departments and trained 150 team members on new system protocols, enabling more autonomous decision-making.
Partnered with C-suite executives to align operations with revenue targets and use data analytics to improve funding velocity.
Funding Manager | August 2018–May 2019
Built and led a high-volume loan processing department focused on lender partner alignment and quality assurance.
Achieved a 98% documentation accuracy rate, doubled core KPI performance within nine months, and maintained strong lending partner relationships.
Established operational standards and centralized knowledge hubs, achieving 95% employee retention.
B.S., Business Administration, MSU Denver — Expected December 2027
Reforge, Product Management Professional Development — Ongoing member; Mastering Product Management, Data for Product Managers, Product Management Foundations
Professional Scrum Master I (PSM I), Scrum.org — Certified September 2020
Community College of Aurora, Business Administration & Management coursework — 2012–2016