Customer Engagement

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 and are based in San Francisco.

Your job is to deepen and expand relationships with our customers. Our Customer Engagement team, you will work closely with our Strategic Projects team as an advocate for our key customers—ensuring they maximize value from our data and evaluation products, identify expansion opportunities, and become references and champions who advocate for AfterQuery. This is a foundational customer success hire at a rapidly growing early-stage company: you won't just run a playbook, you'll help build one. Working closely with the founding team and executive leadership, you will turn active customers into long-term partners.

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  Support and expand relationships with existing AI lab and enterprise customers.

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  Conduct regular business reviews and strategic check-ins with key stakeholders at client organizations.

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  Identify and drive expansion opportunities within existing accounts including new use cases, teams, or product lines.

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  Work cross-functionally with operations and engineering teams to ensure customer requirements are met and feedback is incorporated.

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  Develop and execute customer success playbooks, onboarding sequences, and account growth strategies.

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  Monitor customer health metrics, usage patterns, and satisfaction scores to proactively address issues.

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  Create and facilitate customer advisory boards, user groups, and feedback sessions to inform product roadmap.

• 3-5 years in a Business Operations, Account Management, or Customer Engagement role, ideally in DaaS, AI, or B2B SaaS.

• Strong technical fluency to discuss complex AI/ML concepts like model training, evaluation, and data quality with technical stakeholders.

• Proven ability to drive account growth and expansion measured through net dollar retention, usage growth, or contract renewals.

• Exceptional relationship-building skills able to earn credibility and trust with senior-level decision-makers and technical leaders.

• Experience in fast paced, highly technical environments and comfort in ambiguity.

• Familiarity with customer success tooling (CRM/CS, net health scoring, usage analytics, etc.).

• A bias toward data-driven decision-making and continuous optimization.