The role
As a Deployment Partner, you own a customer from first discovery through a live, adopted workflow, and then through expansion across the enterprise. You work directly with the people who run the plant floor, procurement, quality, and engineering from operational management up to the C-suite deciding where AI fits in their business.
You work with the CADDi AI Data Platform and suite of workflow-specific products a configurable tool you capitalize on for each customer. You are accountable for their success end-to-end: time-to-value, the deployment of the solutions we promised, the measurable value they see enterprise-wide, and the renewal that follows.
The role folds pre-sales, customer success, and data expertise into a single owner, working alongside an Account Executive on the commercial side and Forward Deployed Engineers who build the technical pieces beyond what you configure.
What youll do
Understand the customer
- Meet with cross-functional teams across engineering, procurement, quality, and operations onsite as needed to learn how they work and where time and money are lost.
- Advise customer leaders, from operational management to the C-suite, on where AI and a shared data foundation create the most value, and agree on what success means for their business.
- Identify the data that matters (drawings, quotes, part records, supplier data) and model it into the platform, working with Forward Deployed Engineers where deeper integration is needed.
- Partner with Sales before the deal closes to validate value with real customer data and show an early, concrete win. Build and deliver tailored demos for prospects and existing customers.
Deploy and drive adoption
- Own the deployment plan from scoping to production, coordinating customer stakeholders across business units, IT, procurement, and compliance.
- Define the semantic layer for the customers data, configure the data layer, and build the Explorer configuration and plugins the deployment needs, reusing existing configurations, plugins, and libraries wherever possible to move fast.
- Deploy CADDis workflow products for each user group and shape deployments of CADDi Agent, run training and adoption sessions
- Orchestrate Forward Deployed Engineers on the technical gap between the standard platform and what the customer needs, such as data pipelines, custom integrations, and advanced analytics.
- Define the success metrics and quality bar for each deployment, track them, and run QBRs to customer and CADDi leadership.
Own operations after go-live and grow the account
- Own the operational health of every live deployment, so environments, data pipelines, configurations, and access stay reliable as the customers data, users, and processes change
- Design and quantify ROI, and present findings to audiences from shop-floor users to the executive team to drive decisions and action.
- Identify expansion opportunities within accounts and work with the Account Executive to turn them into new business, including upsell, cross-sell, and global rollout.
- Bring what you see in the field back to Product and Engineering so it shapes the roadmap, and return reusable configurations and learnings to the shared library so the next deployment is faster.
What we value
- Curiosity and ownership: you keep digging past the first answer, and you follow through on every one of several complex, visible projects at once.
- Comfort with ambiguity: you do your best work in messy, unstructured customer environments, and you know when to lead and when to support.
- Bias for speed: you would rather put something real in front of users this week than something perfect next quarter.
Levels What
- We hire this role at two levels. Deployment Partners own standard deployments end-to-end and drive adoption and expansion. Lead Deployment Partners take the deepest, most strategic accounts, leading value validation, designing the technical solution, orchestrating Forward Deployed Engineers, and driving change at the executive level. Tell us which fits you, or let us help you figure it out.
RequirementsWhat were looking for
- 8+ years in a customer-facing technical role (solutions consulting, implementation, forward-deployed engineering, analytics consulting, or similar), with a track record of owning complex deployments end-to-end and driving measurable adoption and expansion.
- Strong written and verbal communication with both technical and non-technical audiences, from operational management up to the C-suite.
- Comfort structuring messy, multi-source data into clear models defining semantics and relationships is central to this role. CF
- Working knowledge of Python, SQL, or similar tools for exploring data, and comfort reading API documentation and discussing system architecture with engineers, is a nice-to-have.
- Manufacturing, industrial, or supply chain experience is a plus.
- Willingness to work from our Chicago office and travel [40-60%].
- Bilingual Japanese/English is a plus.
- US Person status / ITAR eligibility is a plus.
BenefitsCompensation
- Work environment: In-office five days a week at our Chicago, IL office.
- Travel: Occasional travel to customer sites may be required.
- Authorization: Must be a U.S. citizen or a Permanent Resident (Green Card holder).
- Compensation:
- Equity: yes
