About 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. Forbes reported that we could be YC's fastest unicorn, reportedly raising at a $3.2 billion valuation. 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.

Why Apply

Massive Opportunity: Forbes reported that we could be YC's fastest unicorn, reportedly raising at a $3.2 billion valuation, and we're not slowing down.

Founding Impact: You will own and architect core infrastructure systems that power our platform from the ground up.

Equity & Growth: Competitive salary and meaningful equity. As we scale, you’ll have the opportunity to shape the engineering organization and lead major technical initiatives.

Strong Team: Our founding team has experience from Citadel Securities, Meta, Google, Silver Lake, and Morgan Stanley — work alongside world-class engineers and researchers.

What You'll Do

Sales Enablement

Create and maintain sales collateral, presentations, account materials, and other resources that help the sales team sell effectively

Partner with sales leadership to develop decks, talking points, templates, and other enablement materials

Help ensure sales teams have the right information and resources at the right time

Organize and maintain sales resources so they are easy for the team to find and use

Support onboarding and training materials for new members of the sales organization

Sales Process & Execution

Help manage and improve day-to-day sales processes and workflows

Coordinate internally to gather information needed for RFIs, proposals, questionnaires, and customer requests

Own follow-ups across internal teams to make sure sales requests are completed on time

Help identify bottlenecks in the sales process and find ways to make workflows more efficient

Partner with sales, operations, legal, finance, and other teams to keep deals moving

Bring structure and organization to processes that may not yet be fully defined

Sales Operations

Support the sales team with account and opportunity-related projects

Help maintain accurate sales information and documentation

Assist with organizing pipeline and account information

Build lightweight processes and tools that make the sales team's day-to-day work easier

Take on ad hoc projects that improve sales productivity and execution

Sales Analytics & Reporting

Support basic reporting and analysis on sales activity, accounts, and customer trends

Help turn sales data into useful insights for the team

Partner with leadership to answer questions about pipeline, customers, and sales performance

Over time, contribute to projections and forecasting as the sales organization scales

What We're Looking For

1+ years of experience in sales operations, sales enablement, business operations, consulting, investment banking, project management, or a similar role

Strong organizational and project management skills

Excellent written and verbal communication

Strong attention to detail and follow-through

Ability to work cross-functionally and effectively chase down information from multiple stakeholders

Strong problem-solving skills and a willingness to figure things out independently

Ability to create clear, polished presentations and written materials

Comfortable working with data and spreadsheets, even if you don't come from a traditional analytics or RevOps background

High agency — you see something that needs to get done and take ownership of getting it done

Comfortable operating in a fast-paced, ambiguous environment