Product Manager, Enterprise Data Platform at Gordian (2022-03 – Present)
- Owned product strategy, OKRs, and roadmap for an enterprise data platform spanning validation, migration, and reporting products serving 100+ government clients; safeguarded $60M+ in ARR and unlocked $12M in new revenue.
- Launched an industry-first AI migration engine integrating Azure OpenAI APIs and vector embeddings, working closely with engineering; optimized token usage by 70% and cut migration costs 88% ($180K cut down to $20K).
- Shipped QC features for high-compliance clients (Google, Canadian DoD) through cross-functional discovery with sales and CS; reduced data errors 60% and improved retention across $48M+ in at-risk ARR.
- Partnered with Sales and CS to lead GCP cloud migration go-to-market enablement, authoring technical positioning and ROI frameworks that equipped field teams to accelerate enterprise pipeline conversion.
- Ran 12+ A/B tests to uncover usage patterns, pivoted the roadmap, and drove a 25%+ increase in DAU.
Technical Product Manager, Product Manager for Data Ingestion & Validation Middleware at Accruent (2020-03 – 2022-02)
- Led end-to-end product lifecycle for a data validation platform, translating user research and unstructured feedback into PRDs and a structured QC workflow that cut error rates by 50%.
- Designed a platform-agnostic ingestion system with API and data integrations (SQL, CSV) across 15+ legacy enterprise environments, removing the top blocker to new client onboarding.
- Drove 90% customer adoption in two years through iterative feedback, customer segmentation, and prioritization of highest-friction workflows.
Product Lead (Co-Founder), Founding product lead for a B2B SaaS GIS asset management platform serving government clients at Novion (2018-11 – 2024-11)
- Co-founded a B2B SaaS platform addressing a gap in municipal environmental compliance; scaled zero to $100K ARR (120% YoY) across 8+ government agencies.
- Defined PMF through user research and stakeholder discovery with city planners, then partnered with design and engineering to build a GIS-based asset inventory and IoT system adopted across multiple municipalities.
- Architected a high-reliability IoT pipeline (30+ sensors, 95%+ uptime), eliminating 85% of manual monitoring costs.
Software Developer (Data and Software) at Accruent (2019-04 – 2020-02)
- Developed NLP classifiers with >70% coverage and <5% false positives.
- Created cost-forecasting models using multivariate time series and hyperparameter tuning (94% accuracy).
Process Design Engineer (Software) at LivaNova (2017-01 – 2017-08)
- Integrated sensors and actuators to develop an industrial heat shrink controller system using Python and C++.
- Ensured all design components were FDA compliant, including the FDA 21 CFR Part 11 compliance checklist.
