Deployment Partner

CADDi•Chicago, IL

9d•Onsite

About The Position

CADDi is a Manufacturing AI Data Platform company that unifies engineering, procurement, production, and quality data for enterprise manufacturers. Founded in 2017, it has dual headquarters in Chicago and Tokyo and serves manufacturing leaders in more than 20 countries. The Deployment Partner owns customer success from discovery through deployment, adoption, and enterprise expansion. The role works with plant-floor teams and leaders across procurement, quality, engineering, and operations, as well as executives, to identify valuable AI use cases and establish success measures. The Deployment Partner uses CADDi’s platform and workflow products, configuring solutions and coordinating with Forward Deployed Engineers for deeper technical integrations. The role combines pre-sales, customer success, and data expertise, partnering with an Account Executive on commercial matters. The position is hired at two levels: Deployment Partners own standard deployments end-to-end and drive adoption and expansion; Lead Deployment Partners take on strategic accounts, lead value validation and technical solution design, coordinate Forward Deployed Engineers, and drive executive-level change. The work is in-office five days a week at CADDi’s Chicago, Illinois office, with customer-site travel that may be required. Compensation for Deployment Partners is OTE of $195,000–$225,000, with equity.

Requirements

At least 8 years in a customer-facing technical role, such as solutions consulting, implementation, forward-deployed engineering, or analytics consulting.
Track record of owning complex deployments end-to-end and driving measurable adoption and expansion.
Strong written and verbal communication with technical and non-technical audiences, from operational management to the C-suite.
Ability to structure messy, multi-source data into clear models, defining semantics and relationships.
Willingness to work from the Chicago office and travel 40–60%.
Must be a U.S. citizen or a Permanent Resident (Green Card holder).

Nice To Haves

Working knowledge of Python, SQL, or similar tools for exploring data.
Comfort reading API documentation and discussing system architecture with engineers.
Manufacturing, industrial, or supply chain experience.
Bilingual Japanese and English.
U.S. Person status or ITAR eligibility.

Responsibilities

Meet with cross-functional customer teams onsite as needed to understand workflows and identify time and cost losses.
Advise customer leaders on where AI and a shared data foundation can create value, and align on business success measures.
Identify relevant customer data, such as drawings, quotes, part records, and supplier data, and model it in the platform, coordinating with Forward Deployed Engineers when deeper integration is needed.
Partner with Sales before deals close to validate value using customer data and demonstrate early outcomes.
Build and deliver tailored demonstrations for prospects and existing customers.
Own deployment plans from scoping through production, coordinating stakeholders across business units, IT, procurement, and compliance.
Define customer data semantics, configure the data layer, and build Explorer configurations and plugins, reusing existing resources where possible.
Deploy CADDi workflow products for user groups and help shape CADDi Agent deployments; conduct training and adoption sessions.
Coordinate Forward Deployed Engineers on technical gaps, including data pipelines, custom integrations, and advanced analytics.
Define and track deployment success metrics and quality standards, and lead quarterly business reviews with customer and CADDi leadership.
Maintain operational health after go-live, including environments, data pipelines, configurations, and access as customer data, users, and processes change.
Design and quantify ROI and present findings to shop-floor users through executive audiences to support decisions and action.
Identify account expansion opportunities and partner with the Account Executive on upsell, cross-sell, and global rollout.
Share customer learnings with Product and Engineering and contribute reusable configurations and learnings to the shared library.