Vice President, AI Go-to-Market

New

GranicusGovtech SaaS

United StatesFull-TimeVp

Salary200,000 - 250,000 USD per year

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Job Details

Experience: 12+ years of experience in enterprise technology, SaaS, AI, technical sales, or go-to-market leadership, including significant senior leadership experience.
Required Skills: Artificial IntelligenceSaaS

Have 12+ years of experience in enterprise technology, SaaS, AI, technical sales, or go-to-market leadership, including significant senior leadership experience.
Demonstrate success building and scaling go-to-market motions for emerging or rapidly evolving technologies.
Show a proven ability to drive pipeline, revenue growth, and complex enterprise sales outcomes.
Have experience leading technical pre-sales, solution advisory, solution architecture, value engineering, or similar customer-facing teams.
Bring a strong understanding of AI and emerging technologies and translate technical capabilities into customer and business value.
Demonstrate executive presence and experience engaging senior customer and internal stakeholders.
Lead effectively across functions and influence teams outside direct reporting relationships.
Bring analytical, operational, communication, and leadership skills.
Preferred: experience in enterprise B2B SaaS, AI, or digital transformation.
Preferred: experience selling to government or other highly regulated industries and familiarity with public-sector procurement, security, privacy, and technology adoption.
Preferred: familiarity with MEDDPICC, Challenger, or Command of the Message.

Build, lead, and scale a team of AI Advisors, AI Architects, and Value Engineers.
Define and execute the go-to-market strategy for the AI and emerging technology portfolio.
Identify priority customer segments, use cases, buying centers, and repeatable commercial plays.
Partner with Sales and Marketing to create demand, build pipeline, and accelerate adoption.
Lead complex AI opportunities from discovery and solution development through executive alignment and commercial close.
Engage senior customer leaders to connect AI capabilities to strategic priorities, measurable outcomes, and business value.
Partner with Customer Success and Services to support adoption, value realization, references, and expansion.
Translate customer needs, competitive signals, and field insights into product and commercialization priorities.
Establish and track performance indicators, including pipeline, bookings, conversion, win rate, adoption, and expansion.
Create systems, processes, and field capabilities to scale successful AI commercial motions.

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