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Jobs · Marketing · Washington

Technical Program & Product Manager - AI Economics

Auger · Bellevue, WA · 2 wk ago
On-siteMarketing$180k–$250k/yrFull-time

About the role

The AI Economics team builds the data foundations, econometric models, and forecasting systems that power decisions across the Auger platform. Our work feeds every customer-facing application: supplier and entity intelligence, risk and compliance scoring, demand and cost forecasting, elasticity estimation, carbon and emissions modeling, tariff and trade scenarios, and the shared computation layer that lets these signals flow between products. We are the science layer of the platform, and our outputs are consumed broadly across the company.

We are hiring a Technical Product Manager to drive technical strategy, dependency management, and engineering execution across this portfolio. You will be the bridge between our scientists (economists, ML scientists, forecasting specialists) and the data and software engineering teams. Scientists produce models, methodologies, and algorithms. Engineers build the data pipelines, APIs, infrastructure, and integration points that make those models operational and consumable by other product teams. 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, why, and on what timeline.

Responsibilities

  • Working with an economist to understand what data inputs a new model requires, then writing technical specifications for the data engineering team to build those pipelines;
  • Reviewing API contracts between external data services and downstream consumers;
  • Managing integration scope with external data vendors covering company, shipment, financial, sanctions, tariff, and trade data sources;
  • Identifying that a planned capability depends on a vendor integration that hasn't started;
  • Managing the science team's own roadmap and timeline commitments across multiple parallel workstreams;
  • Partnering closely with product managers across the company on customer requirements involving science models, data feasibility, or technical constraints;
  • Joining customer technical reviews when feasibility or technical scope is in question;
  • Presenting the updated technical roadmap to leadership.

Requirements

  • 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;
  • 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.

Qualifications

  • Experience shipping a successful data analytics or ML product to market;
  • Passionate about using AI to solve complex problems and improve workflows;
  • Comfortable working in a fast-paced, dynamic environment with shifting priorities and incomplete information;
  • Ability to make decisions with 70% confidence, adjust when wrong, and maintain forward momentum without waiting for perfect clarity.

Skills

  • Strong understanding of machine learning and its applications;
  • Experience with data engineering and pipeline management;
  • Knowledge of data science methodologies and tools;
  • Excellent problem-solving and analytical skills;
  • Ability to communicate technical concepts to non-technical stakeholders.

Benefits

As part of our commitment to People Powered Greatness, we invest in our team members with competitive compensation and a comprehensive benefits package to support your health, financial future, and daily life. The package includes medical, dental, and vision coverage, a 401(k) with company match, and commuter benefits. Total compensation may include a combination of a competitive base salary and equity. Your initial placement within our salary range will be based on your experience, qualifications.

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