Head of Expert Growth
Pareto
Location
San Francisco Office, US Remote
Employment Type
Full time
Location Type
Hybrid
Department
Data Delivery
Compensation
- $200K – $270K • Offers Equity
About us
At Pareto.AI, we’re on a mission to enable top talent around the world to participate in the development of cutting-edge AI models.
In coming years, AI models will transform how we work and create thousands of new AI training jobs for skilled talent around the world. We’ve joined forces with top AI and crowd researchers at Anthropic, Character.AI, Imbue, Stanford, and University of Pennsylvania to build a fair and ethical platform for AI developers to collaborate with domain experts to train bespoke AI models.
About this role
The Head of Expert Growth owns Pareto's expert supply: sourcing, screening, qualification, onboarding, allocation, retention, and pricing strategy. You'll build systems and processes that ensure Delivery always has access to high-quality experts with the right skills at the right cost.
This is not a traditional recruiting role. You're building a growth engine for expert supply—designing experiments, analyzing conversion funnels, optimizing for both speed and quality, and creating scalable systems that work across dozens of expert profiles and hundreds of projects.
Qualifications
Required
6+ years in growth, marketplace operations, talent acquisition, or related roles with increasing scope
Experience building supply-side growth systems required: Expert marketplaces (e.g., Alpha sites), data companies (e.g., Scale AI), gig economy platforms (e.g., DoorDash, Uber driver growth), or similar two-sided marketplaces
Track record of designing and optimizing growth funnels: sourcing, screening, onboarding, activation
Strong analytical skills: comfortable with metrics, cohort analysis, experiment design, funnel optimization
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Demonstrated ability to:
Build scalable systems and processes, not just manually recruit
Balance speed and quality (fast hiring without quality is useless)
Design compensation and incentive structures
Use data to drive decisions and continuous improvement
Experience managing teams (even small ones) and building cross-functional partnerships
High ownership and bias to action: you experiment, learn, and iterate quickly
Excellent communication skills: can translate between data/metrics and business strategy
Nice to have
ML/AI domain knowledge or strong interest in learning
Experience recruiting or engaging specialized/technical talent (PhDs, domain experts, engineers)
Background in HR tech, ATS/CRM systems, or recruiting operations
Experience with crowdsourcing platforms or distributed workforce management
Familiarity with data labeling, annotation work, or AI services
Network in relevant expert communities (academic, professional, technical)
Key responsibilities
Own Expert Growth Strategy & Operating Model
Build Sourcing & Screening Systems
Own Expert Onboarding & Activation
Manage Expert Roster, Allocation & Utilization
Own Expert Compensation & Pricing Strategy
Drive Expert Retention & Quality
Lead & Develop the Expert Growth Team
Cross-Functional Partnership & Data-Driven Optimization with Delivery, Sales and Account Management, and Finance
Why this role matters
Pareto's promise to customers—high-quality data, on time—is only possible if we have the right experts available when we need them. Too slow to fill roles, and we miss revenue opportunities or delay customer projects. Too focused on speed without quality, and we damage customer trust and waste Delivery's time managing underperformers.
As Head of Expert Growth, you're building the supply engine that powers Pareto's business. You'll design systems that find specialized experts who are nearly impossible to source at scale, create experiences that make them want to work with us, and build processes that keep them engaged and performing well.
This isn't traditional recruiting. Its growth hacking meets marketplace operations meets talent strategy. The best people in this role are deeply analytical, creatively experimental, and obsessed with building systems that scale.
What we value: We hire people who take pride in their work, can take something and run with it end-to-end, ask good questions proactively, and have a good attitude. We're building a team of A-players, not protecting mediocre performers. We establish clear standards and hold everyone accountable to them.
Compensation Range: $200K - $270K