---
title: 'Applied Scientist - Supply Chain at Auger'
canonical: 'https://feeny.ai/job/applied-scientist-supply-chain-auger-bellevue-gw6nyzm5ktcm'
type: 'job'
last_seen: '2026-09-09'
---

# Applied Scientist - Supply Chain at Auger

- **Company:** Auger
- **Location:** Bellevue, WA
- **Compensation:** $200k–$350k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-07-16
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.gem.com/auger/am9icG9zdDo_jwfHgLwHM7jW_oMSFpis

## Job description

## About the Team & Role

We are seeking Supply Chain Applied Scientists to join Russell Allgor's team in Bellevue, WA or Dallas, TX.

In this role, you will design, develop, and deploy advanced AI and optimization solutions to address some of the most pressing problems in modern supply chains — from network design and demand forecasting to inventory optimization and risk management.

This role requires deep technical expertise in data science, machine learning, and optimization, as well as the ability to lead cross-functional teams and influence senior executives. At times, you may be assigned to a specific customer engagement and operate in a customer-facing role translating a customers supply chain objectives into the science required to bring Auger's Autonomous Operating System to life in their ecosystem.

## Key Responsibilities

- Develop and implement novel models in optimization, machine learning, and AI tailored to large-scale supply chain problems.
- Translate complex scientific concepts into practical, scalable solutions that drive measurable business impact.
- Formulate and solve large-scale mixed-integer and stochastic programs (network design, facility location, inventory, routing) using decomposition (Benders/Lagrangian), cutting planes, and column generation.
- Build probabilistic demand/supply models (e.g., Bayesian hierarchical time series), deliver calibrated forecasts, and quantify uncertainty with prediction intervals/conformal methods.
- Collaborate closely with engineers, product managers, and customer teams to bring prototypes into production.
- Engage directly with enterprise executives, articulating the value of AI and data science solutions with confidence and clarity.
- Publish, present, and evangelize Auger’s thought leadership in supply chain science and AI.

## Qualifications

- PhD in Mathematics, Operations Research, Computer Science, Industrial Engineering, or a related field.
- Demonstrated expertise in optimization, machine learning, or enterprise-scale data systems.
- Proven leadership experience scaling cross-functional data and AI teams.
- Deep technical credibility in AI and data science, with a track record of delivering applied solutions in industry.
- Exceptional EQ and collaboration skills, with the ability to unify scientists, engineers, product leaders, and customers around a shared vision.
- Experience in supply chain, logistics, or enterprise operations

## 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
- [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
- [Software Development Engineer - AI Enablement](https://feeny.ai/job/software-development-engineer-ai-enablement-auger-bellevue-880qjdq6kfny) — Bellevue, WA