Customer Engineering Lead

Posted Yesterday
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2 Locations
In-Office
200K-250K Annually
Senior level
Software
The Role
Own the technical delivery path from signed scope through customer go-live. Lead launch planning, data access architecture, systems integration, testing, cutover, go/no-go decisions, escalations, and post-launch support. Direct rotating engineers, data engineers, and QA contributors while translating between customer IT teams and internal engineering. Resolve requirements and technical tradeoffs, manage risks and dependencies, validate implementation details, and feed recurring customer issues back into product and engineering.
Summary Generated by Built In
Build at Auger

Auger is the autonomous operating system for supply chains — the layer that finally allows disparate systems like ERP, WMS, and TMS to work together instead of against each other.

Most supply chain software surfaces problems and waits for a human to act. Auger solves them. Our AI detects disruptions, evaluates trade-offs, and executes decisions automatically — moving from signal to action in seconds, not weeks. We eliminate the Coordination Tax: the billions in capital and time lost when disconnected systems force the best people in the business to become the Human API between planning and execution.

At Auger, we design autonomy into our systems. We expect the same from our people.

That means:
  • Clear ownership, not decision by consensus
  • First principles over inherited patterns
  • Shipping systems, not slide decks
  • Fast feedback from reality, not opinions

If you want to build, ship, and iterate against reality, Auger is for you.

Auger was founded by Dave Clark and is backed by $150M from Oak HC/FT and Eclipse Capital. Our team works from Bellevue, WA and Dallas, TX.
About the Role
Auger becomes real to a customer on one day: when it goes live in their environment, runs on their data, and starts executing decisions autonomously. Getting it to that day is your job.

You own the technical path from signed scope-of-work to go-live: the data sources and access architecture, the integration, the write-back, the testing, the go/no-go call, and the cutover. You work inside a Customer Transformation pod alongside the Customer Transformation Lead, the Product Lead, and the Supply Chain Data Scientist. You are the engineering voice in that room and the connective tissue between the customer's IT and data organization and Auger’s engineers who are building for them.

Engineers, data engineers, and QA join the account for the length of the engagement, and the roster changes with each one, so you end up working across most of Auger engineering and knowing exactly who to pull in when something has to move today. You will be context switching across multiple projects getting delivered for the customer, each with its own timeline, blockers, and stakeholders, and the ground will shift under you regularly. The job is absorbing that volatility without losing the thread on any single project.

This is a hybrid of technical program management and engineering management. You are technical enough to read the code, challenge an architecture, and know when an estimate is fiction. You are operational enough to hold a launch date across several internal teams and a customer IT organization that has never moved this fast. 

The people who thrive here are decisive under ambiguity, comfortable moving from an architecture review to an executive escalation in the same afternoon, and constitutionally unable to let a blocker sit for a week. They do not forward problems. They bring the problem, the options, and the call they are making.

What You'll Do
  • Own the technical launch plan. Build and defend the end-to-end engineering schedule for each deployment: dependencies, owners, dates, and what happens when someone misses. Once finalized, track the progress made by the team against the plan.
  • Define what data we need and how we get it. Run the context and data inventory process, identify every required source, and drive read access architecture design with the customer's data and IT teams.
  • Direct the engineering pod. Lead a rotating set of dotted-line engineers, data engineers, and QA across the account. Assign the work, set the bar, unblock daily, and step in when a workstream slips.
  • When a requirement is unclear or in tension with what's technically achievable, work it through with Product until it's resolved — don't let ambiguity reach engineers mid-execution 
  • Surface concerns the moment you see them before its undeniable — a number that doesn't add up, a decision drifting from what was agreed, a risk no one's naming yet.Own testing end to end. Internal dogfooding, Auger testing, and joint customer testing. Find the failures that would surface at go-live while there is still time to fix them. 
  • Drive go/no-go, cutover, escalation. Make the launch call on evidence, run the cutover with the customer's tech team, and own technical escalation and SLA support after.
  • Translate between customer IT and Auger engineering. Serve as the single technical voice to the customer's data, IT, and security organizations. Turn their systems reality into requirements our engineers can build from without a follow-up meeting.  
  • Force technical tradeoffs to a decision. Scope, sequencing, build versus configure, what ships at launch and what does not. Make the call, state the cost, and move.
  • Stay in the detail. Read the code, review the designs, inspect the data, validate the integration yourself. You do not accept status as evidence.
  • Close the loop with Product and Engineering. Feed recurring customer friction back into the platform so the next launch is faster than this one.

What You'll Bring

  • 5+ years across engineering, technical program management, or engineering management, including hands-on software or data engineering experience.
  • Track record delivering complex technical programs for enterprise customers across multiple teams you did not manage.
  • Fluency in enterprise data and systems integration: APIs, ETL and streaming pipelines, cloud infrastructure, and enterprise systems such as ERP, WMS, or TMS.
  • Ability to read production code, evaluate technical designs, and hold your own with senior engineers.
  • Experience owning a hard launch date across cross-functional teams and an external customer IT organization, including cutover and post-launch support.
  • Direct, written communication: plans, decisions, risks, and status that leave no room for interpretation.
  • Ability to travel 25-50% of the time.

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 $200,000 – $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

  • 5+ years of experience across engineering, technical program management, or engineering management
  • Hands-on software or data engineering experience
  • Experience delivering complex technical programs for enterprise customers across multiple teams
  • Enterprise data and systems integration experience, including APIs, ETL, streaming pipelines, cloud infrastructure, ERP, WMS, or TMS
  • Ability to read production code and evaluate technical designs
  • Experience owning hard launch dates across cross-functional teams and external customer IT organizations
  • Experience with technical cutover and post-launch support
  • Strong written communication involving plans, decisions, risks, and status
  • Ability to travel 25%–50% of the time
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The Company
HQ: Wirral
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.

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