Deployment Strategist
Connects customer needs, data insights, and product capabilities to deliver AI workforce solutions. Partners with end users, scopes prototypes with engineers, designs scalable workflows, and drives expansion within organizations.
About the job
Responsibilities
- Partnering with customers to understand their workflows, goals, and pain points—often embedding directly with their teams.
- Collaborating with Forward Deployment Engineers to scope, prototype, and deliver solutions powered by HappyRobot’s platform.
- Identifying and interpreting key datasets that drive customer decision-making, and working to integrate them into robust, scalable pipelines.
- Designing and refining user workflows that solve meaningful problems and scale across teams and functions.
- Leading training and onboarding sessions, ensuring new users are set up for success and our tools have lasting impact.
- Presenting findings and strategy to stakeholders at all levels—from frontline operators to executives.
- Driving customer expansion by scoping new use cases and shaping how we grow our footprint within organizations.
Skills
Data Pipelines, Workflows, Prototyping, Customer Workflows, Data Integration, Onboarding, Stakeholder Presentations, Use Case Scoping
Similar jobs
Solutions Architecture jobs
Redis
United States
Develop Redis-powered solutions for enterprise customers, lead technical evaluations and pilots, and partner with Sales on account strategy. Requires 3+ years of pre-sales engineering experience, server-side development and Linux expertise, distributed-systems experience, and strong communication skills.
Vitalize
San Francisco, CA
Leads on-site deployments for hospital staffing software, mapping workflows, driving adoption across clinical and ops teams, and building scalable rollout playbooks to activate revenue and ROI.
SnapLogic
United States
Advises enterprise customers on AI adoption by identifying use cases, building prototypes, proving business value, and guiding deployment strategy. Requires hands-on customer advisory experience, strong executive communication, enterprise integration knowledge, and solid AI/LLM expertise.
LangChain
San Francisco, CABuild and deliver production AI agent systems for enterprise customers through architecture advising, co-development, and embedded engineering engagements. Requires 4+ years of software engineering experience, deep Python expertise, and 2+ years shipping production agent systems.
Edia
United States
Build and operate integrations, custom workflows, and full-stack extensions for large school districts, owning deployments from discovery through production stabilization. The role requires 4+ years of software engineering experience, strong debugging and systems skills, and a bachelor’s degree in a rigorous technical field.