Head Of Growth
AfterQuery
Job Score
80 ptsAbout AfterQuery
AfterQuery is an applied research lab curating data solutions for foundation model development.
We serve every frontier AI lab with the mission of delivering the best data to power the best models. In doing so, we can make expertise that once took a lifetime to build available to anyone who needs it. Our customers are the ones building the foundation models themselves and our work sits directly in the loop of how those systems improve.
This is a rare opportunity to join a company at a defining moment in AI. Since raising our $30M Series A at a $300M valuation, AfterQuery has grown well over a $100M revenue run rate.
We're based in San Francisco and backed by leading investors including Altos Ventures, BoxGroup, and Y Combinator and angels from Google DeepMind, OpenAI, Anthropic, Meta Superintelligence Labs, and Microsoft AI.
About the Role
As Head of Growth, you will own one of the company's most important strategic assets: the supply side of our marketplace. The systems you build will directly determine our ability to serve customers, launch new products, enter new domains, and maintain our quality advantage.
This role sits at the intersection of growth, product, engineering, recruiting, and operations. Early on, you'll develop the playbooks yourself. Over time, you'll partner closely with engineering to transform those playbooks into software, automation, and scalable systems, all towards the end of creating a repeatable engine that can identify, recruit, and retain exceptional talent globally.
We're looking for someone who is excited by ambiguity, willing to operate at every level of the stack, and motivated by creating a lasting competitive advantage in one of the most important industries of the next decade. Someone who is fascinated by determining, and executing on, the answers to questions like:
How do we identify signal and predict contributor quality before an expert has completed a single project?
What acquisition channels can scale from hundreds of experts to tens of thousands without sacrificing quality?
How do we build a contributor experience that top professionals actively recommend to their peers?
How do we forecast supply needs before demand arrives?
How do we transform operational playbooks into productized systems that become a durable competitive advantage?
How do we build a talent network that becomes more valuable, more efficient, and harder to replicate with every new expert who joins?
What You Will Own
Build the Expert Network
Design and execute the strategy for sourcing expert independent contractors across professional domains
Develop scalable acquisition channels for highly qualified talent
Build systems for identifying and targeting professionals in specific industries, geographies, and specialties
Create repeatable playbooks for recruiting niche expert populations on demand
Optimize funnel performance from sourcing through activation
Measure expert satisfaction and lead the team in ensuring experts are unblocked and satisfied with their experience
Build Growth Infrastructure
Partner closely with Engineering to build internal growth tools and automation systems
Design scalable workflows for sourcing, outreach, qualification, onboarding, and engagement
Develop experimentation frameworks and growth loops
Create data systems that improve acquisition efficiency over time
Reduce manual operational effort through automation and productization
Marketplace Operations
Forecast supply needs based on customer and project demand
Ensure the right experts are available at the right time and quality level
Develop segmentation, matching, and workforce planning systems
Monitor marketplace health metrics and capacity constraints
Build and Lead a Team
Recruit and manage a high-performing team of growth associates
Coach managers and individual contributors
Build a culture of urgency, ownership, and continuous improvement
Cross-Functional Leadership
Partner with Product and Engineering to prioritize systems that improve scalability
Work with Operations to improve contributor quality and retention
Collaborate with Leadership on company growth strategy and expansion into new expert categories
What Success Looks Like
Within 6-12 months, you have:
Built a rapidly growing network of high-quality professional contributors
Reduced acquisition costs while increasing activation rates
Established predictable supply generation across multiple expert categories
Built a team that can execute independently
Replaced significant portions of manual recruiting and operations with scalable systems and automation
Created a defensible talent acquisition engine that becomes more efficient as it grows
What We Are Looking For
6+ years of experience in growth, recruiting, talent marketplace, operations, or related functions; direct experience building talent marketplaces, labor marketplaces, or expert networks is preferred
Experience partnering deeply with engineering and product teams; high technical aptitude / understanding
Experience building and scaling systems rather than simply executing processes
Strong analytical and operational capabilities
Demonstrated ability to hire and lead high-performing teams
Exceptional execution velocity and willingness to operate hands-on
Strong ownership mentality and bias toward action
Compensation and Benefits
The total compensation package is competitive and commensurate with experience and candidacy.
Comprehensive benefits (UberEats and ride share stipend, comped Equinox, 401K with match, health, dental, and vision insurance)
About Advertising
The Advertising area is aimed at the planning, creation, and delivery of communication campaigns to promote brands, products, ideas, or services. Professionals in the sector work in advertising agencies or in-house marketing departments in creative fields (art direction, copywriting), strategic planning, account management, and media buying.
Discover Other Areas
Understand the scope of work, key skills, and tools used in different career areas.
About Automation Analyst
The Automation Analyst is the professional responsible for identifying process optimization opportunities and developing automated workflows (RPA, scripts, or integrations). They map manual and repetitive tasks across various company areas and build automation solutions using low-code/no-code platforms (such as Zapier, Make, Power Automate, n8n) or RPA tools (such as UiPath), driving operational efficiency and error reduction.
About Office Suite
Proficiency in Office Suite is an essential skill for professionals across various areas. Microsoft Excel, Word, PowerPoint, and Outlook are fundamental tools in the corporate day-to-day, while Google Workspace and other collaborative solutions are gaining increasing space.
Key skills include advanced Excel (formulas, pivot tables, Power Query, VBA/Macros), Word (formatting, mail merge, styles), PowerPoint (presentation design, animations), Outlook (email and calendar management), and collaborative tools like Google Sheets, Notion, and Airtable.
Professionals with advanced Office Suite proficiency are valued in administrative, financial, data, and operational areas. Microsoft Office Specialist (MOS) certifications are important differentiators. The combination of advanced Excel with data analysis skills is one of the most in-demand competencies in the market.
About Finance
The Finance area in technology companies combines traditional financial knowledge with advanced digital tools. FP&A, controlling, and corporate finance professionals are essential for the organization's financial health.
Key skills include financial modeling, metrics analysis (MRR, ARR, LTV, CAC), ERP (SAP, Oracle), and BI tools. Certifications like CFA and CPA-20 are differentiators.
The financial sector offers stable opportunities with competitive salaries, especially in fintechs and large technology companies.
About Data
The Data field has undergone a radical transformation with the rise of Generative AI. Data professionals are fundamental for evidence-based decision-making across all industries.
Key specializations include Data Engineering, Data Science, Business Intelligence, Machine Learning Engineering, and Analytics. Tools like SQL, Python, Spark, dbt, and cloud platforms (AWS, GCP, Azure) are essential.
The data market continues with high demand and salaries among the most competitive in the technology sector, with many remote work opportunities.
About Customer Success
Customer Success is the area responsible for ensuring clients achieve their goals when using the product or service. It is a strategic function for retention, expansion, and customer satisfaction.
Key skills include account management, churn analysis, NPS, onboarding, upsell, and cross-sell. Knowledge of CS tools like Gainsight, Totango, and ChurnZero is a differentiator.
CS is becoming increasingly strategic in SaaS companies, with professionals directly contributing to recurring revenue growth (MRR/ARR).