---
title: 'Product Lead - Customer Solutions at Auger'
canonical: 'https://feeny.ai/job/product-lead-customer-solutions-auger-dallas-nvm339j0qwnz'
type: 'job'
last_seen: '2026-09-09'
---

# Product Lead - Customer Solutions at Auger

- **Company:** Auger
- **Location:** Dallas, TX
- **Compensation:** $180k–$250k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2025-12-09
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.gem.com/auger/am9icG9zdDqQC7BjX29XGzVyX75HsN-a

## Job description

## How We Build Products

At Auger, Product Leads are expected to think like founders. They own the problem, define the solution, align the organization, and deliver products that transform how the world's most complex supply chains operate. You'll work side-by-side with customers to understand their supply chain opportunities, rapidly prototype AI-native solutions, and validate ideas in days, not months. Using modern AI prototyping tools, you’ll turn concepts into working experiences, iterate continuously based on customer feedback, and partner with Design and Engineering to scale what works. We believe the fastest path to great products isn’t writing perfect requirements—it’s putting prototypes in front of customers and learning fast.

## What You'll Do

1. Ruthlessly Simplify & Force Clarity Every customer and every cross-functional team naturally drifts toward complexity. Smart people, data scientists, engineers, and supply chain operators quickly become consumed by edge cases, custom rules, and endless "what-ifs." Your responsibility is to relentlessly simplify delivering the highest-value product as quickly as possible while adding complexity only when it creates meaningful customer value.
2. Own the product end-to-end You own your product from the earliest customer conversations through long-term production success, including:

- Discovering customer problems and defining product vision and roadmap
- Designing scalable capabilities and clear product requirements
- Partnering with Design on prototypes and production experiences
- Working with Science, Engineering, and AI Engineering throughout development
- Measuring adoption and business outcomes, then improving based on customer learning

You remain accountable until customers are successfully using the product—not until requirements are written.

1. Define Products Across Business & Technology Enterprise AI products fail when business intent and technical implementation drift apart. You bridge those worlds, translating customer objectives into precise product definitions.
2. Solve Customer Problems Customers know their business better than anyone; you know how software can transform it. Your job is not collecting requests—it's helping customers solve the right problems, challenging assumptions and guiding them toward scalable solutions rather than custom implementations.
3. Deliver AI-Native Product Design Auger does not build software that reports what happened. We build software that understands what is happening, determines what should happen next, and executes wherever possible. You define products that combine enterprise data, external signals, AI reasoning, optimization, human expertise, and autonomous execution - and you show it all in the UI.

## How We Measure Success

- Customers trust Auger to run increasingly autonomous operations and expand adoption as the product delivers value.
- Product definitions are clear enough that teams execute with minimal ambiguity, and customer acceptance happens before development.
- Products deliver measurable business outcomes, reducing manual coordination and repetitive operational work.
- Customer-specific innovations become reusable capabilities that make every release stronger.

## What We're Looking For

- Significant experience building enterprise software products from concept through production adoption
- Strong product judgment and the ability to simplify complex problems
- Experience leading cross-functional teams and partnering closely with Engineering, Design, and AI without formal authority
- Exceptional communication and the ability to influence senior stakeholders and drive difficult decisions
- Comfort operating across both strategic vision and detailed execution, with a bias toward action and ownership
- Supply chain planning, procurement, manufacturing, inventory, logistics, fulfillment, or order management is a nice to have. If you don't have it, a track record of learning new domains fast is expected

This Role Is Not a Fit for Someone Who

- Waits for complete information, or avoids challenging customers and internal teams when clarity is needed.
- Hands requirements to Engineering and disengages from delivery.
- Is uncomfortable making decisions, managing ambiguity, or being accountable for outcomes.

## About Auger

## Company Overview
- **One-liner**: Auger is building the world’s first autonomous operating system for supply chain operations, collapsing the gap between signal and execution with AI-powered automation.
- **Entity Type**: Private (Series A)
- **Headquarters**: Bellevue, Washington, USA
- **Founded**: 2024
- **Founders**: Dave Clark (Founder & CEO), Leigh Anne Clark (Co-Founder and President, Fashion and Beauty)

## Core Business
- **Primary industry/industries**: Supply Chain Technology, Enterprise AI, Logistics Software
- **Target customers**: B2B, Enterprise (large-scale supply chain operators, retailers, manufacturers, logistics providers)
- **Mission or purpose statement**: "To eliminate the Coordination Tax that traps enterprises in manual silos and fragmented systems. To make superhuman operations available to every enterprise ready to lead."

## Products & Services
- **The Autonomous Operating System**: A unified AI-powered platform that integrates with existing enterprise systems to provide real-time intelligence, cross-system synchronization, and autonomous execution of routine supply chain tasks (demand shifts, lead time management, capacity planning, scheduling). The system turns messy data into executable truth, allowing operators to move from firefighting to strategic work.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric – Total Funding**: $400M across three rounds (Seed, Series A, Series A extension)
- **Notable Investors/Partners**: Oak HC/FT (lead investor in initial $100M Series A)
- **Growth Signals**:
  - Headcount grew **223.9% YoY** (from ~26 to 129 employees)
  - LinkedIn follower count grew **74.5% YoY** (currently 12,855)
  - Active job postings: 17 (up 88.9% YoY)
  - Major talent pipeline from Amazon (26 hires), Microsoft (9), AWS (7), Meta (4)

## Competitive Advantages
- **Founder pedigree**: Led by Dave Clark, former CEO of Amazon’s worldwide consumer business — deep operational credibility at global scale.
- **"Living Ontology" approach**: Not layering AI on top of broken legacy systems, but building a unified data fabric across the entire enterprise.
- **Consumer-grade UX**: Makes complex supply chain tasks accessible through simple, intuitive interfaces (e.g., natural language queries for inventory insights).
- **Team composition**: 53% of employees in technical roles; includes a Chief AI and Agentic Scientist, Chief Supply Chain Scientist, and Chief AI Economist — rare depth of domain AI expertise.

## Strategic Focus
- **Autonomous execution**: Replacing the "speed of consensus" (manual coordination, meetings, spreadsheets) with real-time, automated reflexes.
- **Sustainability**: Positioning autonomous execution as the architecture for sustainable scaling — reducing excess inventory, expedited shipments, and waste.
- **Expanding beyond supply chain**: The company states it will expand "wherever coordination breaks down," suggesting a platform play across adjacent operational domains.

## Why Work Here
- **Culture highlights**: Described as a "pioneering venture" with a human-centered approach to solving broken supply chains. The team is composed of operators who "have lived the consequences" — late nights, impossible trade-offs — and are building to eliminate that pain for others.
- **Remote/hybrid/office policy**: In-office roles (e.g., Strategic BDR listed as "In-Office"). HQ in Bellevue, WA, with additional offices in Clyde Hill, WA and Bellevue, WA.
- **Notable perks or engineering culture**: Heavy investment in deep technical talent (AI, data science, supply chain science). Emphasis on moving from "firefighting to reinvention." Backed by top-tier VC with substantial runway ($400M total funding). Strong pipeline of ex-Amazon, Microsoft, and Meta engineers.

## Sources
1. [auger.com](https://auger.com/about/)
2. [linkedin.com](https://linkedin.com/company/augerinc)
3. [builtin.com](https://builtin.com/company/auger)
4. [cbinsights.com](https://www.cbinsights.com/company/auger)
5. [theorg.com](https://theorg.com/org/auger-1)

## Other roles at Auger

- [Customer Engineering Lead](https://feeny.ai/job/customer-engineering-lead-auger-bellevue-6zzen1qnj7za) — Bellevue, WA
- [Software Development Engineer](https://feeny.ai/job/software-development-engineer-auger-bellevue-v5g9bd4tykz8) — Bellevue, WA
- [Deployment Strategist](https://feeny.ai/job/deployment-strategist-auger-dallas-c7j3rqsgv615) — Dallas, TX
- [Principal Software Development Engineer](https://feeny.ai/job/principal-software-development-engineer-auger-bellevue-rst59fsvcgwm) — Bellevue, WA
- [Principal Product Manager - Platform Experience](https://feeny.ai/job/principal-product-manager-platform-experience-auger-bellevue-xvsrrkh9azm3) — Bellevue, WA
- [Applied Scientist - Supply Chain](https://feeny.ai/job/applied-scientist-supply-chain-auger-bellevue-gw6nyzm5ktcm) — Bellevue, WA
- [UX Engineer](https://feeny.ai/job/ux-engineer-auger-bellevue-k41b19gfq7ty) — Bellevue, WA
- [Software Development Engineer - Front-End](https://feeny.ai/job/software-development-engineer-front-end-auger-bellevue-8gc0qdn8jnn8) — Bellevue, WA
- [Data Scientist - Supply Chain](https://feeny.ai/job/data-scientist-supply-chain-auger-bellevue-2gzs2y0xfes2) — Bellevue, WA
- [IT Operations Engineer](https://feeny.ai/job/it-operations-engineer-auger-dallas-8ffh6xd5ezmg) — Dallas, TX