About Grace Hall
Grace Hall is a Senior Product Manager and Co-Founder at LaunchLab, an applied AI venture studio, where she drives 0→1 product strategy for agentic automation platforms in real estate and logistics. She specializes in building scalable, high-ROI AI systems, including multi-agent orchestration and RAG pipelines. Previously, as an AI Product Manager at Resonate, she owned and scaled AI data products, generating multi-million revenue and pipeline impact for enterprise clients. Her expertise spans AdTech/MarTech, B2B SaaS/DaaS, and enterprise data architecture.
Career
Co-Founder & Head of Product | Venture Studio (Applied AI Sandbox)
Co-founded an applied AI venture studio building vertical SaaS in real estate and logistics; operate as AI Product Manager driving 0→1 product strategy, roadmap, and hands-on execution.
Lead Harvest (Realtor productivity platform): designed end-to-end workflows for email/SMS ingestion, lead creation, pre‑qualification, scheduling, and reporting; established human‑in‑the‑loop review, consent logging, RBAC, and audit trails. Five alpha pilots initiated in Philadelphia across solo agents and small teams.
Point A Logistics (middle‑mile orchestration): defined product for network inefficiency alerts, cross‑dock coordination, and trailer rebalancing; structured integrations path across TMS/WMS/telematics. One alpha pilot initiated with an operator in the space.
Built the core data and agentic architecture: enterprise LLMs via cloud providers, pgvector on Supabase, and CrewAI for multi‑agent workflows; implemented type‑safe APIs, telemetry, and CI/CD for reliable releases.
Lead a six‑founder team across product, design, engineering, operations, and market development; run two‑week sprints, founder‑led discovery, and rapid prototype-to-alpha loops.
AI Product Manager, Data Strategy
Owned and scaled AI data products, Resonate Embeddings and Segments, driving multi-million revenue and pipeline impact; expanded adoption across dozens of enterprise clients and hundreds of developers.
Embeddings: unlocked new DaaS/append revenue streams by enabling predictive vectors and semantic enrichment for enterprise analytics—generated seven-figure pipeline in the first months; delivered via Snowflake/Databricks/AWS and secure APIs.
Segments: enabled activation revenue by curating high‑intent, AI‑powered audiences for immediate activation in DSPs and programmatic channels—drove seven‑figure first‑year revenue and strengthened competitive differentiation.
Directed cross-functional pods (Engineering, Data Science, Data Engineering, MLOps, Analytics), providing indirect leadership to ~10–20 contributors; partnered with VP Product, VP Engineering, VP Data Science, GTM, Legal, and Privacy to align roadmap and execution.
Designed and initiated early architecture for an LLM‑powered audience discovery capability; established PRD, prototypes, and stakeholder alignment to compress audience build times from days to seconds across Finserv, Auto, Media, Retail, Travel, and Healthcare.
Modernized ML delivery and activation across Databricks, Snowflake, AWS, and clean rooms; standardized delivery formats, SDKs, and documentation to cut integration cycles by ~40%.
Improved platform performance and reliability with telemetry and ingestion observability; achieved double‑digit latency gains, including ~15% API latency reduction (REST vs gRPC) and ~30% ETL latency reduction via data pipeline optimization.
Established privacy‑first workflows aligned to clean‑room and CCPA requirements; partnered with Legal/Privacy to deliver compliant, ML‑ready datasets and secure activation pipelines (TLS, REST vs gRPC).
Recognition: Hackathon Winner — Most Innovative AI Product (2023); Hackathon Lead (2024) for embeddings visualization to improve model explainability and adoption.
Data Strategy
Owned a five‑account enterprise CPG portfolio (VP/Head‑level stakeholders); delivered 100% renewals with scope expansion across all five accounts.
Led promotional analytics that shaped 2022 holiday planning; insights adopted by two top‑10 brands to reset promo cadence and drive sales efficiency.
Secured new grocery channel distribution for a Better‑for‑You brand, adding multiple SKUs across organic grocer banners.
Rebalanced media mix toward retail media and CTV based on incrementality findings; improved return on ad spend by ~25%.
Partnered across consumer insights, category management, and media teams to translate Numerator panel and promotions data into actionable segmentation, measurement, and optimization recommendations.
Senior Product Manager, Marketplaces Growth
Owned the platform and product strategy that scaled marketplaces + DTC to a low eight-figure run-rate within three years, accounting for ~30–40% of total digital revenue at peak.
Designed the end-to-end data and content pipeline—ERP/EDI and API-based feeds, PIM/OMS integrations, and marketplace readiness—driving a >90% reduction in time-to-market.
Built lightweight prioritization models to score SKU onboarding, pricing moves, and content quality using signals like search volume, margin potential, supply readiness, forecasted velocity, and competitive whitespace.
Operationalized a high-velocity SKU engine: 1,000+ SKUs live across Amazon, Walmart, Home Depot, and Lowe’s; ~10 new SKUs per week (5–15/week) with compliant ingestion, taxonomy standards, and observability dashboards.
Created a performance observability layer with dashboards for feed health, content completeness, SKU activation, and channel KPIs—enabling faster diagnosis, iteration, and executive visibility.
Ran structured A/B testing on PDP content, imagery, and pricing levers, lifting conversion +150–300 bps; improved review velocity and Buy Box consistency; modernized brand stores for greater discoverability.
Improved contribution margin by 5–10 points and cut per-unit logistics costs 15–25% through channel mix optimization and FBA/FBM/dropship/3PL orchestration; maintained >97% on-time delivery and expanded 2-day coverage.
Led a cross-functional team of 7 (three direct reports) across marketplace ops, content, channel management, and analytics; reported to the CPO with periodic CEO-level performance reviews.
Financial Advisor
Delivered risk-aligned investment advisory services to high-net-worth individuals, businesses, and institutions under strict SEC, FINRA, and state regulatory frameworks. Applied analytical, compliance, and client relationship skills to design financial strategies that balanced growth objectives with fiduciary responsibility.
RFE Rookie Financial Advisor
Selected for the Reach for Excellence (RFE) Training Program for rookie financial advisors. Built foundational expertise in wealth management, compliance, and financial analysis while training under seasoned brokers. RFE Rookie Financial Advisor
Intern
Supported sales and client engagement initiatives in the Las Vegas office, implementing Bill Good’s Gorilla Marketing CRM software to streamline campaigns and strengthen client relationships. Intern
Education
Smeal Executive MBA
Smeal Executive MBA - Master's of Business Administration
Product Management and Strategy
Product Management and Strategy
B.S. Business Administration in Marketing
B.S. Business Administration in Marketing - Business Administration and Marketing
High School
High School - Study Abroad Program: focusing on immersion into Swedish culture
Skills
Core technical and professional competencies in AI product development, data strategy, and B2B SaaS growth.
AI Product Management
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Multi-agent Systems
Machine Learning (ML)
Embeddings
NLP
Prompt Engineering
Data Science
Product Strategy
Technical Product Management
Product-Led Growth (PLG)
Roadmap Development
Go-to-Market Strategy
Agile & Scrum
A/B Testing
KPI Development
Data Architecture
Snowflake
Databricks
AWS
Data Pipelines
Data Privacy (CCPA, Reg B)
CI/CD
Python
Cross-functional Leadership
Stakeholder Management
Team Management
Business Strategy
Financial Analysis
Asset Management
Domains
Artificial Intelligence, B2B SaaS, Data as a Service (DaaS), AdTech/MarTech
Real Estate Technology, Logistics, Enterprise Data, E-commerce Marketplaces
Tags
Visionary, Innovative, Results-Oriented, Entrepreneurial, Data-Driven
0→1 Product Development, Agentic Automation, High-ROI Systems, Privacy-First Architecture
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Frequently Asked Questions
Grace Hall is a Co-Founder and Head of Product at LaunchLab, specializing in 0→1 product strategy for applied AI systems in real estate and logistics.
What is Grace Hall's role at LaunchLab?
What AI platforms does Grace Hall build?
She specializes in 0→1 product strategy for agentic automation platforms, including multi-agent orchestration and RAG pipelines.
What was Grace Hall's impact at Resonate?
At Resonate (Mar 2023 - Jun 2025), she scaled AI data products that generated multi-million revenue and pipeline impact.
Where did Grace Hall earn her MBA?
She earned her MBA from the Penn State Smeal MBA Program and holds additional certifications from Wharton Online.
When did Grace Hall join LaunchLab?
She joined LaunchLab as Co-Founder and Head of Product in July 2025, after serving as an AI Product Manager at Resonate.