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AfterQuery is an applied research lab that curates data solutions for foundation model development, serving frontier AI labs with the mission of delivering the best data to power the best models. The company is YC's fastest unicorn, valued at $3.2 billion, backed by leading investors including Altos Ventures, BoxGroup, Y Combinator, and angels from Google DeepMind, OpenAI, Anthropic, Meta Superintelligence Labs, and Microsoft AI.
You will join as a Strategic Projects Manager, sitting at the intersection of data bottlenecks and AI model development. This is a hands-on management role where you will own and architect core operational systems that power the platform.
Key responsibilities include:
- Project and client management: Work directly with the world's leading AI organizations to build next-generation data solutions while driving revenue.
- Manage expert teams across domains: Lead and coordinate highly specialized contributors across fields like finance, software engineering, law, and more to create high-quality outputs at scale.
- Shape how AI systems are trained: Design dataset specifications that directly influence how frontier models are evaluated and improved.
- Drive high-impact execution end-to-end: Own critical projects from scoping through delivery in a fast-moving, high-stakes environment.
- Support operational initiatives: Work across multiple parts of the business, ranging from building, analyzing, coordinating, and executing where needed most.
You will work alongside a founding team with experience from Citadel Securities, Meta, Google, Silver Lake, and Morgan Stanley. This is a rare opportunity to join a company at a defining moment in AI, with the chance to shape the engineering organization and lead major technical initiatives as the company scales.
REQUIREMENTS:
- 3+ years of experience at a top-tier management consulting firm (MBB or similar), Big 4 strategy practice, or corporate strategy team
- Background in business strategy, case analysis, market research, or corporate operations
- Strong grasp of structured problem-solving, business frameworks, and financial/quantitative analysis
- High agency and strong work ethic; comfort defining problems and thriving with minimal direction in ambiguous situations
- Demonstrated leadership excellence and strong client-facing communication abilities
- Genuine passion for AI and an entrepreneurial inclination
- Demonstrated competitive success (e.g., top-tier academic achievement, case competitions, or promotion on an accelerated track)
PREFERRED QUALIFICATIONS:
- Python proficiency or experience with data analysis tools
- MBA or advanced business degree
- Experience using AI tools to automate workflows, conduct research, or build products
