---
title: 'Sr. SAP Integration Architect at Auger'
canonical: 'https://feeny.ai/job/sr-sap-integration-architect-auger-bellevue-09cb7dj7v6z2'
type: 'job'
last_seen: '2026-11-04'
---

# Sr. SAP Integration Architect at Auger

- **Company:** Auger
- **Location:** Bellevue, WA
- **Compensation:** $200k–$275k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-21
- **Last confirmed live:** 2026-11-04
- **Apply:** https://jobs.gem.com/auger/am9icG9zdDqKkJf6WjkPeKsxeIhxz4HG

## Job description

## About the Team & Role

AugerOS reads a customer's operational data, models their supply chain, and recommends decisions on allocation, sourcing, risk, and execution. Then it writes those decisions back into the systems where work gets done. For many of our enterprise manufacturing and distribution customers, that system is SAP. Getting data out and decisions back in, with the right authorization, idempotency, and audit trail, is hard, and it's central to what we deliver. You'll be the person who makes that work.

You're Auger's SAP authority. You walk into a customer's SAP team, figure out how their landscape is really configured (not how the diagram says it is), and design the ingestion and write-back approach for that engagement. When the work requires changes inside the customer's SAP, you scope it, pick and direct the specialist partners, and decide whether what they deliver is good enough to ship. You'll sit between Auger engineering, customer SAP and IT teams, and third-party SAP partners, and you'll be the one who can tell a good design from a risky one, with the standing to say so.

There's no legacy SAP playbook here. The discovery process, reference architectures, and partner bench are yours to build, and the whole company will use them. You'll get customer-facing, architectural, contractual, and educational work in one role, on decisions that change what a customer buys, moves, and ships.

## What You'll Do

Run discovery that finds the real answer

- Lead sessions with customer SAP teams to map the landscape: ECC or S/4HANA (on-prem, RISE, private cloud), instances and clients, middleware (PI/PO, Integration Suite/CPI, BTP), and existing extraction tools.
- Work out how each customer has configured and customized the objects we depend on: materials, BOMs, purchase and sales orders, deliveries, inventory, MRP, vendors, customers.
- Produce artifacts people use: landscape diagrams, object and field mappings, volume and change-frequency profiles, open-risk logs.

Design ingestion and write-back

- Choose the right extraction pattern per customer from the full toolbox: ODP/ODQ, SLT, CDS views, OData, IDocs, BAPIs/RFCs, Datasphere and Business Data Cloud, third-party tools, file or event-driven.
- Design write-backs (POs, stock transport orders, allocations) with real attention to authorization, principal propagation, error handling, idempotency, and auditability.
- Weigh each option against the customer's licensing, SAP's API and extraction policies, security requirements, and their IT team's preferences, then drive to a design both sides sign off on.
- Work with our engineers on how SAP data lands in Snowflake, Databricks, or Fabric and maps into our data model.

Manage SAP partners

- Define the work needed inside customer systems: custom CDS views, function modules, BAdIs, iFlows, authorization roles.
- Source and evaluate SAP subcontractors, review their SOWs for scope, estimates, and assumptions, and hold them to quality and dates.
- Review their designs and deliverables, and translate between their work and our architecture.

Help create our SAP playbook

- Build our SAP integration playbook: discovery templates, reference architectures, object catalogs, decision guides.
- Coach engineers and engagement leads until routine SAP questions don't need you.
- Track where SAP is heading (S/4 migrations, BTP, Business Data Cloud, API and licensing changes) and tell us what it means for our strategy.

## What You Bring

- 10+ years with SAP, at least 5 in integration or technical architecture.
- Bachelor's or Master's degree in Computer Science, Engineering, or related fields.
- Hands-on depth in IDocs, BAPIs/RFCs, OData, CDS views, ODP/ODQ, and SLT, plus at least one middleware platform (PI/PO, CPI, or BTP).
- A working grasp of the supply chain data model in ECC and S/4HANA: MM, SD, PP, and WM or EWM, including key tables and document flows. You don't need to be a functional consultant, but you can hold your own with one.
- Experience getting SAP data into Snowflake, Databricks, Fabric, or a hyperscaler data lake.
- Solid footing in SAP security: roles, technical users, OAuth, principal propagation, and how they apply to third-party integrations.
- A record of scoping, contracting, and managing SAP subcontractors or SIs, including picking apart SOWs and estimates.
- The ability to run a workshop with a customer's SAP CoE, then explain the outcome plainly to engineers and executives who don't know SAP.
- Comfort with ambiguity. Much of the approach will be yours to work out.

## 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

- [Software Development Engineer in Test](https://feeny.ai/job/software-development-engineer-in-test-auger-bellevue-qb2naccj9j8g) — Bellevue, WA
- [Deal Strategist - Enterprise Supply Chain Transformation](https://feeny.ai/job/deal-strategist-enterprise-supply-chain-transformation-auger-dallas-w9vfam05f1yp) — Dallas, TX
- [VP, Head of Finance](https://feeny.ai/job/vp-head-of-finance-auger-dallas-gyqeqqep0f62) — Dallas, TX
- [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
- [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