Product Manager — data platforms, developer tooling, and AI products
Austin, TX · MBA, Product Management & Business Strategy

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I build products where the hard part is the data underneath them.

Nine years in: product designer at Gensler, senior product manager at AWS, and now a founder. The through-line is that I stay close to the material — I write the SQL, read the model, and find the defect myself rather than waiting for someone to hand me a dashboard. That habit is why the projects below have numbers I can defend line by line.

Currently running FalcoScan and building data products in Snowflake and dbt.

An analytical product built on 17,119,581 published CFPB consumer complaints, from ingestion through to a decision.

A batch ELT pipeline loads the archive into Snowflake. A dependency-driven dbt DAG transforms it through staging, intermediate, mart and decisioning layers. Policy logic evaluates each record and lands one recommended action with its reason codes. A curated export feeds a Next.js application; a Streamlit console watches the pipeline.

Three things in it I'd point a technical reader at:

• The CFPB renamed its product taxonomy twice — April 2017 and August 2023. Plotted on raw labels, a 15-year chart shows nearly every category dying and being reborn; credit reporting alone appears as three unrelated products. The app maps eleven lineages and marks both change dates rather than smoothing over them.
• A double-counting defect I found and fixed. complaint_volume was sourced from a trailing 7-day rolling sum and then summed across dates, so the same complaint was counted in up to seven rows. It reads as plausible until you check it against the daily count.
• The daily grain was mostly drawing the calendar. Sundays average 6,126 complaints against 24,011 on a Tuesday. Every trend in the product is at month grain for that reason, and the app shows the evidence.

An AI product at 1,000+ active users, built on multi-step LLM workflows and API integrations that collect, structure and enrich data on 6,700+ products across 29 markets. I own activation and the path from first login to first useful result, and have shipped 15+ releases prioritized against usage analytics and 50+ discovery interviews.

At AWS I built and ran an internal platform holding 60,000+ solution architecture assets and 20,000+ reusable resources, used by technical practitioners to cut duplicate work across delivery teams, and influenced $100M+ in enterprise AI, ML and cloud opportunities by turning customer requirements into adoption strategy.

At Gensler I ran user research and executive workshops for 60+ Fortune 500 clients, turning findings into requirements and interface designs for engineering.

Data — dbt · Snowflake · SQL · Redshift · data modeling · data quality · analytics engineering · Python AI & tooling — LLM APIs · agentic workflows · Claude Code · VS Code · CLI workflows · prompt design Product — PRDs · user stories · acceptance criteria · prioritization · release planning · Agile · product analytics Research — discovery interviews · usability · Figma · activation and adoption metrics

University of Cincinnati — MBA, Product Management & Business Strategy (3.9) · BS Product Design, UI/UX & User Research (3.7)

dbt Fundamentals (dbt Labs) · Snowflake Data Warehousing · AWS Analytics: Athena, Redshift, Glue · Product Management & Agile/Scrum (IBM) · Product Strategy & Roadmapping (Microsoft)

Open to product roles in data platforms, developer experience, and AI.
shemnyachieo@live.com