Auger

Technical Program & Product Manager - AI Economics

Reposted 17 Days Ago

Be an Early Applicant

Bellevue, WA, USA

In-Office

180K-250K Annually

Senior level

Software

The Role

The Technical Product Manager at Auger will bridge the gap between data scientists and engineers, driving product roadmap and aligning projects to solve customer challenges in supply chain management using AI.

Summary Generated by Built In

Build at Auger

Auger is the autonomous operating system for supply chains. It connects enterprise supply chain systems—ERP, WMS, TMS—into a single data layer, then uses AI to detect problems, evaluate trade-offs, and execute decisions automatically. The platform eliminates the coordination tax: the time and capital lost when disconnected systems force humans to become the integration layer between planning and execution. Actions that previously required days of meetings and manual coordination happen in seconds, within constraints the customer defines.

Founded by Dave Clark and backed by $100M from Oak HC/FT. Headquartered in Bellevue, Washington.

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.

You will partner closely with product managers across the company on customer requirements. When customer requirements involve science models, data feasibility, or technical constraints—which is most of what this team produces—you will actively shape those requirements alongside the product team rather than receive them. You own the technical and scientific viability of what gets promised to customers, and you push back when promises don't hold up against the science or the build.

A typical week might include: 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; coordinating with product managers across the company on how science outputs will be consumed in their products and shaping those requirements where science or technical constraints apply; joining customer technical reviews when feasibility or technical scope is in question; and presenting the updated technical roadmap to leadership. You will spend significant time in the details—data schemas, service dependencies, integration points, vendor contracts, ontology extensions—because that is where cross-team misalignment creates delays. You will own the technical roadmap for the AI Economics portfolio, manage dependencies across squads and vendors, and ensure that what ships is technically sound, deliverable on schedule, and scientifically rigorous.

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 joining a Fortune 500 customer technical review the next.

What You Bring

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

Compensation & Benefits

As part of our commitment to People Powered Greatness, we invest in our team members with competitive compensation and a comprehensive benefits 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.

The base pay range for this role is $180,000 – $250,000 per year.

Auger considers all qualified applicants for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Additionally, our privacy policy is available at https://auger.com/privacy-notice/.

Skills Required

7+ years of product management experience
At least 4 years on data-intensive or ML-adjacent products
Experience translating analytical or scientific requirements into engineering tasks
Experience shipping a successful data analytics or ML product to market
Understanding of data infrastructure concepts
Track record of managing complex cross-functional projects
Excellent written and verbal communication
Experience with agile development practices

View all jobs at Auger

View Auger Profile

Report Job

Am I A Good Fit?

beta

Get Personalized Job Insights.

Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company

HQ: Bellevue, WA

35 Employees

What We Do

About Auger Auger is a pioneering venture to build the world's first true end-to-end supply chain operating system. Founded and led by Dave Clark, former CEO of the Amazon Consumer Business and backed by an initial $100M from Oak HC/FT, Auger is building a future where global supply chains operate with the simplicity of today’s most intuitive consumer technologies. Revolutionizing global supply chains with an AI-powered OS unifying data for seamless, real-time insights, and powerful automation. Our Solution Auger is creating a new solution for companies seeking better options. Auger’s core strength lies in its deep AI-powered automation, paired with a consumer-grade user experience. This combination allows operators to handle complex tasks through simple, familiar tools. Need real-time inventory insights for next week’s shipment? Just ask. Actionable data appears instantly, enabling swift decisions—no complex queries or training required. Why We’re Different Traditional supply chain management is fragmented, relying on incompatible systems and inefficient workarounds. Many companies are stuck with “Franken-software”—patched-together solutions that fail to communicate effectively. Auger is different. We integrate deeply with existing systems, use AI to automate routine processes, and deliver a cohesive user experience that feels intuitive and natural, letting your team focus on what matters: driving growth, innovation, and sustainability. A Human-Centered Approach Broken supply chains don’t just impact businesses—they affect people. Delays mean products don’t reach shelves, miscommunications lead to overtime and burnout, and inefficiencies drive up costs and contribute to a growing carbon footprint. We believe supply chain problems are human problems, and we’re here to solve them. At Auger, we’re on a mission to make global supply chains more efficient, more sustainable, and ultimately, better for everyone.