Jobs at AfterQuery

Own and build People programs including compensation strategy, leveling and career pathways, performance management, learning & development, retention measurement, and org design. Partner with founders and finance to model comp/headcount tradeoffs, instrument programs as products, and iterate using data for an AI-native workforce.

Manage and deliver high‑impact dataset and data‑solution projects for frontier AI labs. Scope, coordinate expert contributors, design dataset specifications, write production Python code, and drive projects end‑to‑end to influence foundation model training and product outcomes.

Manage end-to-end interview scheduling and candidate logistics, maintain ATS records, coordinate interviewers and feedback, support recruiting operations, and improve hiring workflows and documentation to deliver a high-touch candidate experience.

Own full-cycle technical recruiting for engineering and applied-AI roles: source, screen, coordinate interviews, manage offers, and build recruiting systems, pipelines, and metrics while partnering directly with founders and hiring managers.

Design and build full‑stack data capture workflows (Next.js web, Python desktop), architect high‑throughput data pipelines with low latency, collaborate on product strategy, ship features rapidly, and establish engineering best practices for team growth.

Identify and engage research teams at frontier AI labs through outbound prospecting and events, qualify leads, maintain CRM hygiene, and partner with founders to build ICPs, messaging, and outbound sales playbooks to convert outreach into qualified pipeline.

Design, build, and own core infrastructure for large-scale data generation, evaluation, and human-in-the-loop systems. Architect distributed, high-throughput pipelines, shared developer platforms, and reliable production services. Ensure scalability, observability, and fault tolerance while collaborating with research and engineering teams to support AI experimentation and platform capabilities.

Lead client-facing, end-to-end strategic projects with frontier AI labs: scope, design dataset specifications, coordinate expert cross-functional teams, drive delivery and revenue, and support high-impact operational initiatives across engineering, AI, and business functions.

Partner with the CEO and operations team to run special projects end-to-end, build operational capabilities (billing, revenue ops, BD support), gather and analyze qualitative and quantitative data, support recruiting and administrative finance/office functions, identify and fix operational inefficiencies, and document and hand off durable processes.

Design datasets, evaluation rubrics, and reward signals for RLHF/RLVR; build real and synthetic data pipelines; run experiments modeling annotator behavior; develop quantitative metrics for dataset quality, diversity, and downstream impact; partner with research teams to translate training objectives into data and evaluation specs.

Join the core engineering team to build and scale high-throughput data capture workflows (web and desktop), architect low-latency data pipelines, ship production features, and establish engineering best practices while owning end-to-end projects.

Own end-to-end recruiting for business and operations functions, build proactive talent pipelines from elite finance/consulting/tech firms, design hiring profiles and rigorous interview processes, create recruiting infrastructure (scorecards, rubrics, tooling), track funnel metrics, and close high-caliber candidates while partnering with founders and executives.

Manage projects and client relationships for frontier AI labs, coordinate expert contributors, design dataset specifications, and drive end-to-end execution across engineering, operations, and strategy to deliver high-impact data solutions.

Define and execute go-to-market and brand strategy for technical and enterprise audiences. Launch and optimize multi-channel campaigns, create technical content (case studies, whitepapers, press), measure campaign performance, and represent the company at industry events while collaborating with founders and technical teams.

Support growth by sourcing and vetting domain experts, creating original social content, assisting outbound marketing/events/partnerships, and pitching/owning a bold growth initiative for the summer.

Design and run controlled SFT and RL post-training experiments to measure dataset impact on model capability, generalization, and alignment. Build public evaluations, publish research and reports, and iterate on data quality with internal teams and partner labs.

Design and scale expert acquisition pipelines combining manual and automated sourcing. Recruit professionals via LinkedIn and campus partnerships, run GTM experiments, manage purchasing, expand conference presence, collaborate with engineering and marketing to optimize product and brand, and represent the company at events.

Act as an advocate for key AI lab and enterprise customers to deepen relationships, drive account expansion, run business reviews, develop success playbooks, monitor customer health, and coordinate cross-functional work to ensure customer needs inform product and growth.

Join the founding team for a full-time Spring 2026 internship in San Francisco to lead strategic projects: create expert-generated datasets, hire and manage domain experts, collaborate on AI research, design go-to-market and sales processes, and support high-priority operational initiatives.

Lead and deliver high-impact dataset and data-solution projects for frontier AI customers. Manage client relationships, coordinate specialist engineering and research teams, design dataset specifications, scope and execute projects end-to-end, and support cross-functional operational initiatives to drive revenue and product development.