Forward Deployed Strategist

MPN Coaching; New York (NY); On-site; USD 160,000 - 250,000; Full time

Job summary

Minority Professional Network, Inc. is seeking a seasoned strategist to lead enterprise deployments for an AI automation company, aligning customer goals with commercial strategy and delivery from pilot through production across critical business processes.

You will own enterprise relationships, guide cross-functional teams, negotiate pilots and expansions, and drive measurable outcomes while maintaining executive alignment in complex environments. This onsite role supports visa sponsorship.

Qualifications

• 3 to 7 years in strategy consulting, enterprise deployment, enterprise sales, go-to-market, or related customer-facing work.
• Experience owning enterprise client relationships and commercial targets, such as pilot conversion, expansion, or renewals.
• A record of leading end-to-end deployments, delivering measurable customer outcomes, and scaling successful pilots into production.
• Strong stakeholder management, project delivery, negotiation, and change management skills across operational and executive teams.
• Technical fluency to understand AI-enabled software and engage with engineers about implementation without needing to be an engineer.
• Background in enterprise software, AI automation, consulting, or similar deployment-focused environments.

Responsibilities

• Own commercial relationships with enterprise customers, including scoping, negotiating, and closing complex pilots and engagements.
• Understand customer processes, align stakeholders across operational and executive teams, and define measurable success criteria.
• Lead cross-functional delivery teams, including deployment and engineering partners, through pilots and production launches.
• Manage change, resolve blockers, and maintain executive alignment in complex customer environments.
• Identify expansion opportunities and support account growth from initial deployment to broader adoption.

Skills

Enterprise relationships

Negotiation

Cross-functional leadership

Change management

Job description

About the Role

Lead strategic enterprise deployments for an AI automation company, connecting customer goals, commercial strategy, and delivery. You will guide complex implementations from pilot through production, helping organizations adopt automation across critical business processes.

What You'll Do

• Own commercial relationships with enterprise customers, including scoping, negotiating, and closing complex pilots and engagements.

• Understand customer processes, align stakeholders across operational and executive teams, and define measurable success criteria.

• Lead cross-functional delivery teams, including deployment and engineering partners, through pilots and production launches.

• Manage change, resolve blockers, and maintain executive alignment in complex customer environments.

• Identify expansion opportunities and support account growth from initial deployment to broader adoption.

What We're Looking For

• Typically 3 to 7 years of relevant experience in strategy consulting, enterprise deployment, enterprise sales, go-to-market, business operations, or related customer-facing work.

• Experience owning enterprise client relationships and commercial targets, such as pilot conversion, expansion, or renewals.

• A record of leading end-to-end deployments, delivering measurable customer outcomes, and scaling successful pilots into production.

• Strong stakeholder management, project delivery, negotiation, and change management skills, including experience working across operational and executive teams.

• Technical fluency to understand AI-enabled software and engage with engineers about implementation without needing to be an engineer.

• Background in enterprise software, AI automation, consulting, or similar deployment-focused environments.

Compensation & Benefits

Base salary: $160,000 to $250,000 USD annually. Visa sponsorship is available.

Location

On-site in San Francisco, California, or New York City, New York. Candidates should be based in or willing to relocate to one of these locations.