Own customer deployments from contract through go-live and ongoing adoption. Lead discovery, data mapping, migration, configuration, workflow design, integration troubleshooting, and implementation timelines across ERP, PLM, and MES systems. Use SQL and GraphQL to validate data and resolve sync issues, support executive stakeholders, identify expansion and adoption risks, and translate recurring customer problems into product requirements. Build deployment playbooks, documentation, onboarding runbooks, and success metrics while traveling frequently to customer sites.
About Silkline
The Role
Two Paths Into This Role
What You'll Do
What We're Looking For
Must have:
Nice to have:
Why This Role
Compensation
Compensation
The companies building satellites, launch vehicles, reactors, and robots are mostly limited by their supply chains, not their engineering. A single late part can hold up a launch. Buyers chase suppliers over email and spreadsheets, while the ERP shows a different story from what's actually happening on the shop floor.
Silkline is building the AI operating system for procurement. Hardware manufacturers in aerospace, defense, space, energy, and robotics use Silkline to run RFQs, POs, and supplier communication, connected to the systems they already run on: ERP, PLM, and MES.
We're backed by top venture investors and have grown our customer base 5x. The founding team is Isaac Chambers (CEO, 3x founder, ex-Deloitte) and Brent Shulman (CTO, engineering leader, ex-Palantir and Pave).
Our customers are building the critical infrastructure that powers our world, moves us, and keeps us safe. Your mission is their mission: help them build a world-class supply chain powered by Silkline.
In practice, you'll own customers from signed contract through go-live and beyond. You'll learn how a manufacturer's procurement, engineering, and finance teams actually work. Then you'll map their ERP, PLM, and MES data into Silkline, configure workflows that fit, and stay with them until Silkline is how they run.
You'll be the technical person in the room. When a customer encounters a blocker or a PO isn't syncing, you'll find out why and fix it. When you see the same problem at three customers, you turn it into product. Much of what Silkline becomes will come from what you learn in the field.
Two kinds of backgrounds can be successful in this role:
- Manufacturing systems implementer. You've spent years implementing, configuring, and maintaining ERP, PLM, or MES systems at a manufacturer, integrator, or consultancy, along with the processes around them. You know how a part moves from BOM to PO to receipt to inventory, and where workflows and data break along the way. You don't need to be a software engineer, but you're very comfortable with queries and data.
- Forward deployed software engineer. You've worked as an FDE, solutions engineer, or customer-facing engineer and shipped production code and integrations in front of customers. You may not know manufacturing yet, but you learn domains quickly and like messy, real-world data.
- Own deployments from start to finish. Run kickoff, discovery, data mapping and migration, configuration, and go-live. Manage the timeline and get procurement, engineering, finance, and IT to adopt Silkline.
- Connect Silkline to the customer's systems. Map and validate data flows between Silkline and three-letter systems: ERPs (NetSuite, Microsoft D365, SAP, Epicor, etc.), PLMs (Arena, Teamcenter, Duro), and MES (ION, Manufacturo, Boltline). Diagnose sync issues and resolve them.
- Work in the data. Write SQL and GraphQL queries to validate migrations, troubleshoot discrepancies, and build the analytics customers use to measure the impact on spend, lead times, and supplier performance.
- Design workflows. Configure approval chains, RFQ processes, supplier onboarding, and PO lifecycles to match how each customer operates, and push back when their current process is the problem.
- Be the customer's technical partner. Stay the main point of contact after go-live. Track adoption and outcomes, find expansion opportunities, and flag risk early.
- Bring what you learn back to product. Turn patterns you see across customers into clear engineering requirements. If you code, ship some of it yourself.
- Build the playbook. Our deployment process is still being written, and you'll write it: implementation templates, data mapping guides, onboarding runbooks, and success metrics.
What We're Looking For
Must have:
- 4+ years in a role where you owned customer or operational outcomes.
- Strong analytical and quantitative background, often in engineering, CS, math, physics, economics, or data science.
- Problem decomposition. You can take an ambiguous, messy situation, break it into parts, and decide what matters most.
- Technical fluency. You write SQL comfortably, can read API docs and debug a payload in Postman, and hold your own with engineers.
- Clear writing and communication. You can write a memo a VP will act on and a spec an engineer can build from.
- Customer ownership. You're comfortable running a meeting with a VP of Supply Chain and managing a go-live that's slipping.
- Willingness to travel to customer sites often.
Nice to have:
- Experience with manufacturing procurement: MRP, sourcing, supplier quality, receiving, 3-way match.
- Hands-on ERP, PLM, or MES implementation or integration.
- Coding experience, especially TypeScript, GraphQL, or Postgres.
- Background in aerospace, defense, space, or other regulated manufacturing.
Why This Role
- You'll see your work in the real world. The deployments you run will affect whether real hardware gets built and shipped on schedule.
- You'll shape the company. You'll be one of our first hires in this function, working directly with the founders and an elite software engineering team. Your playbook becomes the team's playbook.
- You'll see the whole picture. Few jobs let you see how a manufacturer's engineering, procurement, finance, and suppliers actually connect. This one does, across many companies at once.
- You can grow into leading the team. There's a clear path to leading our Forward Deployed / Customer Engineering team as we scale.
- The base pay range for this role is $150,000 – $225,000 per year.
- The equity range for this role is .15% – .25%
Compensation
The base pay range for this role is $150,000 – $225,000 per year.
Individuals of all genders, races, sexual orientations, nationalities, abilities, veteran statuses, and educational backgrounds are strongly encouraged to apply. Currently, we do not sponsor applicants for work visas. Because this role touches ITAR-controlled and CUI data, you must be a US citizen, lawful permanent resident, or otherwise qualify as a "US person" under ITAR (22 CFR 120.62).
Similar Jobs
Software • Generative AI
Own customer deployment strategy from workflow discovery through go-live and handoff to customer success. Scope and prioritize use cases, define launch criteria, coordinate business users, IT, forward-deployed engineers, and customer success, manage implementation dependencies, support change management, and communicate recurring customer needs to influence product roadmap.
Top Skills:
Ai AgentsArtificial IntelligenceCustom Integrations
Artificial Intelligence • Information Technology
Deploy ElevenAgents across federal, state, local, and education organizations. Identify high-impact AI opportunities, shape deals, navigate public-sector procurement, guide agent design and production readiness, and own customer delivery outcomes. Partner with engineers and sales teams to build demonstrations, address security and compliance needs, present to technical and executive stakeholders, and relay field insights to product and research teams.
Top Skills:
Ai Agent FrameworksAPIsAto ProcessesFedrampGsa SchedulesLlmsPython
Artificial Intelligence • Logistics • Software
Owns customer relationships from onboarding through adoption, expansion, and renewal. Maps workflows and data, identifies high-value AI opportunities, translates needs into implementation requirements, partners with product and engineering on deployments, leads rollout and adoption, tracks customer value, and develops repeatable customer success and deployment playbooks.
Top Skills:
AIAi AgentsAPIsData ModelsIntegrations
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
