Deployment Strategist

Forgepoint • New York City, NY

21h • Onsite

About The Position

This client-facing deployment and strategy role sits at the intersection of deployment, product, and operations. The Deployment Strategist leads customer deployments on-site, helping transform manual operations into automated, AI-powered workflows. They work with customer executives and frontline teams to understand existing processes, design how AI workers should operate within those workflows, and translate business rules into agent tasks, guardrails, approvals, and handoffs.

The role includes configuring and launching agents with Agent Engineers, running pilots, iterating with users, and measuring results against established baselines. It also involves capturing field learnings in playbooks, templates, SOPs, and product feedback to improve future deployments. The work is hands-on and user-centric, with time spent both in the office and at customer operating sites. The position is based in the NYC office five days a week and requires travel to customer sites across the US.

Requirements

• At least 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 communication and facilitation skills, including the ability to run workshops, align stakeholders, and drive decisions.
• Ability to turn ambiguous business rules into precise operating procedures.
• Analytical and data-curious, with comfort using spreadsheets and conducting basic data exploration to validate assumptions.
• Action-oriented, organized, and calm under pressure, with a record of following through and closing loops.
• Care about the company's mission and willingness to work in person five days a week in NYC and travel to customer sites across the US.

Nice To Haves

• Past experience in manufacturing 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 TypeScript, NodeJS, React, and 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, working across boardroom and shop-floor settings.
• Map complex workflows and translate ambiguous business rules into requirements, agent tasks, guardrails, approvals, and handoffs.
• Establish baselines, define success metrics, and use data to prove value and guide deployments.
• Configure and launch AI workers with Agent Engineers; test, monitor, and iterate with users until they perform reliably.
• Run workshops, project cadences, and stakeholder communications to keep deployments moving and close every loop.
• Turn field learnings into repeatable playbooks, templates, SOPs, and product feedback.
• 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.

Benefits

• Base salary of $175,000–$215,000, depending on level and experience.
• Opportunity to receive meaningful early-stage equity valued at $60,000–$100,000 per year.
• Great healthcare coverage.
• Dinner provided at the office.
• Unlimited Celsius.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed