Deployment Strategist

Forgepoint•New York, NY

2d•$175,000 - $215,000•Onsite

About The Position

This is a client-facing deployment and strategy role that sits at the intersection of deployment, product, and operations. You'll be the on-site lead responsible for transforming our customers' operations from manual processes to fully automated, AI-powered workflows. Working shoulder-to-shoulder with CEOs, COOs, and Plant Managers, you'll lead on-site discovery and map how work gets done today, then design how our AI workers should behave inside those workflows - translating business rules into agent tasks, guardrails, approvals, and handoffs. You'll configure and launch agents, run pilots, iterate quickly with users, and prove measurable value against a baseline that you establish. As you go, you'll capture learnings into playbooks and templates that make every future deployment faster. The work is hands-on, fast-moving, and deeply user-centric. You'll switch comfortably between the shop floor and the boardroom.

Requirements

4+ years of experience in management consulting (Bain, BCG, McKinsey, or similar) or software implementation, with meaningful client-facing delivery experience
Strong process-design instincts and an eye for simplification, measurement, and operational quality
Exceptional communicator and facilitator who can run workshops, align stakeholders, and drive decisions
Comfortable turning ambiguous business rules into precise operating procedures
Data-curious and analytical: comfortable in spreadsheets and basic data exploration to validate assumptions
Action-oriented, organized, and calm under pressure; you close every loop
You care about our mission and are excited to work in person 5 days a week in NYC and travel to customer sites across the US

Nice To Haves

Past experience in the manufacturing industry or another industrial setting
Exposure to ERPs, MRPs, CRMs, MES, or accounting systems common in manufacturing
Experience designing SOPs and change-management plans
Awareness of LLM / AI concepts, and light familiarity with our stack (TypeScript, NodeJS, React, PostgreSQL)

Responsibilities

Lead customer deployments from discovery and scoping through go-live, demonstrated ROI, and steady-state adoption
Build trusted relationships with customer executives and frontline teams, moving comfortably between the boardroom and the shop floor
Map complex workflows and translate ambiguous business rules into clear requirements, agent tasks, guardrails, approvals, and handoffs
Establish baselines, define success metrics, and use data to prove value and guide each deployment
Configure and launch AI workers in close partnership with Agent Engineers, then test, monitor, and iterate with users until they perform reliably
Run workshops, project cadences, and stakeholder communications that keep deployments moving and close every loop
Turn lessons from the field into repeatable playbooks, templates, SOPs, and product feedback that make future deployments faster and better
Identify opportunities to expand Frank into additional workflows after the initial deployment succeeds
Travel to customer sites across the US and spend meaningful time working alongside users in their operating environment