Product Manager - Technical at Auger – Bellevue, Washington
Auger
Bellevue, Washington, United States
Posted on
Updated on
Employment Type:Full-Time
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About This Position
About the Role
What You Bring
The AI Economics Team at Auger is building an AI and agentic-powered market intelligence system that enables our customers to forecast supply chain risk, optimize sourcing decisions, and respond to global disruptions in real time. We are hiring a Technical Product Manager to drive organization, technical strategy, and engineering execution across this initiative.
You will be the bridge between our scientists (economists, ML scientists, forecasting specialists), software engineers and data teams. Scientists produce models, methodologies, and algorithms. Engineers build the data pipelines, APIs, infrastructure, and user interfaces that make those models operational. Your job is to translate between these groups—turning a causal inference framework into engineering requirements, turning infrastructure constraints into scope decisions for the science team, and keeping both sides aligned on what we're building and why.
A typical week might include: working with economists to understand what data inputs a new supplier risk model requires, then writing technical specifications for the data engineering team to build those pipelines; reviewing API contracts between external data services and the frontend dashboard; identifying that a planned feature depends on an external data vendor integration that hasn't started; and presenting the updated roadmap to leadership.
You will spend significant time in the details—data schemas, service dependencies, integration points—because that is where cross-team misalignment creates delays. You will own the product roadmap across a suite of science-and-economics-driven products, manage dependencies between squads, and ensure that what we ship solves real customer problems.
Auger is an AI startup. You will operate with limited resources, shifting priorities, and incomplete information. We need someone who thrives in ambiguity—who can make decisions with 70% confidence, adjust when wrong, and maintain forward momentum without waiting for perfect clarity. You should be comfortable writing detailed technical specifications one day and presenting to enterprise C-suite the next.
- 7+ years of product management experience, with at least 4 years on data-intensive or ML-adjacent products
- Experience translating analytical or scientific requirements into engineering tasks—you've worked with data scientists, analysts, or researchers and turned their work into shipped software
- Experience shipping a successful data analytics or ML product to market
- Understanding of data infrastructure concepts: ETL/ELT pipelines, data warehouses, feature stores, API design, and how data flows through production systems
- Track record of managing complex cross-functional projects with multiple dependencies and competing priorities
- Excellent written and verbal communication; ability to tailor technical content for engineers, scientists, and business stakeholders
- Experience with agile development practices and cross-functional team coordination
- Passion for using AI to speed and improve work and workflow processes
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Job Location
Bellevue, Washington, United States
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