About
Randy Hesse
Product Architect · Denver, CO
AI Product Architect with 18+ years in enterprise software, including 4+ years focused on AI and GenAI product development. I work at the seam between ambiguous business needs and scalable technical architecture — automation, business process transformation, and regulated industries like healthcare, aerospace and defense, automotive, and retail.
Most of that work has been 0-to-1: leading discovery, building working prototypes, and writing the requirements that turn a hunch into a product. At Keysight I built the Eggplant Generator from the ground up, defined an AI product vision and DevOps-to-AIOps roadmap, and briefed Forrester and Gartner analysts on where the suite was headed. Earlier, I owned delivery on a $6.3M enterprise contract and spent years translating automation for the people who had to live with it.
The pattern underneath all of it: the hard part is rarely the model. It's understanding how people think, decide, and resist — which is exactly what this site is about.
Selected roles
Product Solution Architect, AI Labs
2021 — Present
Keysight Technologies
- Partnered with Forrester and Gartner analyst teams to position the Eggplant product suite, contributing to top-tier quadrant placement through executive briefings, live product demonstrations, and technical Q&A on company AI vision and roadmap.
- Developed and presented an AI product vision to internal stakeholders, outlining a DevOps-to-AIOps transformation roadmap and aligning objectives across sales, engineering, and executive teams.
- Acted as the key liaison between AI technology and non-technical stakeholders, simplifying automation concepts to guide customers, executives, and sales teams through the transition from manual processes to AI-driven operations.
- Led AI product discovery and prototyping for the Eggplant suite by defining requirements, demonstrating feasibility through working proofs-of-concept, and coordinating handoff to engineering teams for production implementation.
- Defined product requirements and developed internal prototypes for a QA toolchain using MCP-based LLMs and OmniParser for computer vision, improving engineering testing accuracy by 20%.
- Collaborated with product managers to evaluate features based on stakeholder feedback, keeping the roadmap focused on viable, high-impact capabilities rather than scope creep.
- Translated ambiguous business needs into structured product requirements for AI-driven automation features, including automated test case generation, reducing engineering ambiguity and accelerating delivery cycles.
- Defined and advocated for AI features across the Eggplant product suite, working with PMs and engineering leads to scope, prioritize, and deliver AI-assisted workflows that increased user engagement.
- Authored functional and technical requirements for AI-driven automation solutions targeting the software testing market, ensuring accuracy, feasibility, and alignment with product strategy.
Technical Consultant
2019 — 2021
Eggplant
- Served as lead consultant and technical owner on a $6.3M, three-year enterprise contract — one of the largest in company history — managing full delivery from scoping through implementation and ongoing client success.
- Converted manual testing workflows for clients across healthcare, automotive, retail, and aerospace and defense sectors, enabling faster and higher-volume test execution across regulated platforms.
- Guided enterprise clients through the process and people challenges of automation adoption, diagnosing whether friction stemmed from technology, workflow, or organizational resistance, and tailoring strategy accordingly.
- Published an industry article on automation repeatability that influenced how Eggplant internally framed and communicated its automation approach across sales, consulting, and product teams.
Customer Success Manager
2016 — 2019
Eggplant
- Built and maintained enterprise account relationships through structured QBRs with defined KPIs, onsite visits, and hands-on training, driving consistent product adoption across a large portfolio of clients.
- Deployed proof-of-concept environments for prospective clients and partners, translating technical capability into business value to support pre-sales evaluation and accelerate deal progression.
- Conducted onsite and remote training for QA developers and analysts across different environments, building client-side capability and reducing dependency on professional services over time.
Technical Consultant
2014 — 2015
RES Software
- Designed and implemented RES Software automation solutions, enhancing automation processes for over 20 customers and partners.
Product Administrator
2008 — 2014
McKesson Corporation
- Supported clinical workflow interfaces and systems: HL7, ACC, CPACS, Hemodynamics, Echo, Echo Stress, Cath, ECG Procedures, Clinical Assessments, Care Plan, Order Management, Physician Reporting, HL7 Management, Nurse Documentation, Labor and Delivery (NICU).
Focus areas
Education
M.S. Information Systems — University of Colorado Denver
B.S. Computer Information Systems — NJIT
AWS Cloud Practitioner