Strategic Customer Success Manager
Confirmed live in the last 24 hours
Prolific
Compensation
$180,000 - $240,000/year
Job Description
Strategic Customer Success Manager
Prolific
Prolific is not just another player in the AI space — we are the architects of the human data infrastructure that is reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models. Our Strategic Sales and Success team works with most of the world’s leading frontier AI model creators on one of their highest priority initiatives.
The role
As a Strategic Customer Success Manager, you will partner with frontier AI model creators who are making headline news every day, ensuring they achieve breakthrough value through our human data offerings. In this role, you will lead adoption, consumption, development, and value realization as a trusted advisor for AI research, program management, and business stakeholders. You will own the end-to-end success lifecycle, guiding customers from onboarding to maturity, expansion, renewal, and advocacy while collaborating with your counterparts on Prolific’s Services, Support, Sales, Solutions Engineering, Product, Marketing, and other teams.
What you’ll bring to the role
- 6+ years in a customer-facing strategic or enterprise customer success (and/or leadership) role, ideally in a business where value is aligned with increased consumption
- Experience developing strategic success plans and orchestrating cross-functional dynamics to drive positive outcomes with customers
- Operational rigor and experience forecasting consumption to identify opportunities, mitigate risk, and measure growth
- Demonstrated success with navigating large organizations, driving adoption and expansion, and cultivating executive relationships/sponsorship
- Strong business acumen and ability to interface with senior customer stakeholders (C-Suite, VP, research leads) as well as technical teams (engineers, data scientists, product owners)
- Fundamental understanding of AI, machine learning, LLMs, or similar concepts—enough to speak credibly about research use cases and value levers
- Desire to play an influential role in a rapidly growing, innovative business—contributing, sharing ideas and expertise, and helping elevate the team around you
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