Data Science Manager

New York City, Hybrid

Prolific

Prolific is not just another player in the AI space—we are the architects of the human data infrastructure that's 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.

The Role

Prolific for AI is a high-growth, greenfield vertical building the infrastructure behind human-aligned AI. As Data Science Manager, you'll build and lead the data science and analytics function for this vertical - setting strategy, hiring the team, and partnering with commercial, product, and ops stakeholders to drive measurable impact. You'll define what great looks like, then build the team and systems to deliver it.

What you'll be doing

Build & Lead the Team

Hire, develop, and retain a high-performing team of Data Scientists and Analysts
Set clear expectations for technical quality — rigorous causal inference, well-designed experiments, principled modelling — and coach the team to meet them
Define ways of working, prioritisation, and how the team interfaces with commercial and product stakeholders

Drive Commercial Growth through Data

Ensure your team delivers analytics that fuel the Prolific for AI Sales and Ops functions: pipeline health, forecasting, customer health, and retention signals
Act as a senior data thought partner to commercial leadership — translating business questions into analytical problems and outcomes into decisions

Own the Experimentation Standard

Set and hold the bar for how your team designs, runs, and interprets experiments — going beyond basic A/B testing toward rigorous causal inference and algorithmic work
Partner with Product to make experimentation a core capability across the vertical, not just a tool

Ensure Data Quality at Scale

Lead your team to build scalable frameworks that guarantee high-quality AI training and evaluation data for Prolific's frontier lab partners
Establish governance: clear rules, repeatable checks, and shared standards that Product and Engineering can build against
Be hands-on in the early phase — contributing technically where needed — then transition to technical oversight and mentorship as the team matures

Data Science Manager

New York City, Hybrid

Prolific

The Role

What you'll be doing

Build & Lead the Team

Hire, develop, and retain a high-performing team of Data Scientists and Analysts

Set clear expectations for technical quality — rigorous causal inference, well-designed experiments, principled modelling — and coach the team to meet them

Define ways of working, prioritisation, and how the team interfaces with commercial and product stakeholders

Drive Commercial Growth through Data

Ensure your team delivers analytics that fuel the Prolific for AI Sales and Ops functions: pipeline health, forecasting, customer health, and retention signals

Act as a senior data thought partner to commercial leadership — translating business questions into analytical problems and outcomes into decisions

Own the Experimentation Standard

Set and hold the bar for how your team designs, runs, and interprets experiments — going beyond basic A/B testing toward rigorous causal inference and algorithmic work

Partner with Product to make experimentation a core capability across the vertical, not just a tool

Ensure Data Quality at Scale

Lead your team to build scalable frameworks that guarantee high-quality AI training and evaluation data for Prolific's frontier lab partners

Establish governance: clear rules, repeatable checks, and shared standards that Product and Engineering can build against

Be hands-on in the early phase — contributing technically where needed — then transition to technical oversight and mentorship as the team matures

Data Science Manager

Data Science Manager

Data Science Manager

Data Science Manager

Prolific

Prolific

Benefits

Prolific