Auger Logo

Auger

Customer Engineering Lead

Posted 28 Days Ago
Be an Early Applicant
In-Office
Bellevue, WA, USA
200K-250K Annually
Senior level
In-Office
Bellevue, WA, USA
200K-250K Annually
Senior level
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.
The summary above was generated by AI
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/.

Similar Jobs

22 Minutes Ago
Remote or Hybrid
USA
41K-83K Annually
Mid level
41K-83K Annually
Mid level
Machine Learning • Payments • Security • Software • Financial Services
Provides enterprise technology support through phone, ticketing, and potentially chat channels. Troubleshoots hardware, software, network, access, and application issues; manages incidents and escalations; documents resolutions in ServiceNow or similar ITSM tools; analyzes trends and operations data; supports knowledge management, training, process improvement, and automation; and coaches junior analysts while maintaining customer service, security, and confidentiality standards.
Top Skills: Call Center TechnologiesHardware InfrastructureItsmNetworkingServicenow
22 Minutes Ago
Hybrid
100K-212K Annually
Senior level
100K-212K Annually
Senior level
Machine Learning • Payments • Security • Software • Financial Services
Lead strategy and architecture for Kubernetes-based container platforms, ensuring operational excellence and collaboration between technical teams and business stakeholders to enhance user experience.
Top Skills: AWSAzureCi/Cd ToolsDockerGCPGitlab CiHelmJenkinsKubernetesOpenshift
60K-70K Annually
Entry level
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Manages, investigates, evaluates, and resolves insurance claims, including coverage, liability, damages, reserves, settlements, suspicious claims, subrogation, and fraud referrals. Communicates with policyholders, claimants, witnesses, attorneys, and other parties; negotiates settlements, coordinates inspections, maintains claim files, and prepares reports. Requires strong communication, analytical, investigative, interpersonal, and negotiation skills, along with a bachelor’s degree and required licensing.

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account