Product Manager

Posted One Month Ago
San Francisco, CA, USA
In-Office
180K-300K Annually
Entry level
Artificial Intelligence • Big Data
The Role
Own product areas end-to-end across Engineering, Operations, and Research. Identify high-impact problems, understand workflows, define product direction and technical requirements, prioritize using data and feedback, partner with engineers through launch, and improve scalability and workflows as the company grows.
Summary Generated by Built In
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.

Responsibilities
  • Work closely with engineers, operators, and internal users to deeply understand their workflows and pain points

  • Identify the highest-leverage product and infrastructure problems across the company

  • Turn ambiguous problems into clear product direction and technical requirements

  • Partner with Engineering to ship products and systems quickly

  • Balance immediate business needs with long-term scalability and maintainability

  • Own product areas end-to-end, from problem discovery through launch and iteration

  • Use data, user feedback, and business context to prioritize what we build

  • Help standardize and improve workflows as AfterQuery scales

Required Qualifications
  • Strong technical fluency; prior experience in software engineering, ML, or data is a strong plus

  • High ownership and ability to operate independently in ambiguous environments

  • Strong product judgment and ability to identify the underlying problem behind user requests

  • Excellent communication skills and ability to work across technical and operational teams

  • Bias toward action and comfort moving quickly with incomplete information

  • Strong user empathy and willingness to spend significant time understanding how people actually work

  • Ability to synthesize fragmented feedback into clear priorities and product direction

Company Benefits (For Eligible Employees):
  • Health Insurance: Medical, Vision, Dental

  • 401(k) with Employer Match

  • Daily Meals: Daily UberEats Stipend

  • Monthly Wellness Stipend

We are an equal opportunity employer committed to providing a workplace free from discrimination and harassment. Employment decisions are made without regard to legally protected characteristics under applicable federal, state, or local law.

We comply with applicable pay transparency requirements and provide compensation ranges based on the position, qualifications, experience, and other relevant factors. Reasonable accommodations are available to qualified individuals with disabilities and for sincerely held religious beliefs, as required by law. This job description is intended to describe the general nature and level of work performed and is not an exhaustive list of all duties, responsibilities, qualifications, or working conditions associated with the position. We reserve the right to modify this job description as business needs change.

Skills Required

  • Strong technical fluency
  • Prior experience in software engineering, machine learning, or data
  • High ownership and ability to work independently in ambiguous environments
  • Strong product judgment and ability to identify underlying problems
  • Excellent communication skills across technical and operational teams
  • Bias toward action and comfort with incomplete information
  • Strong user empathy and willingness to understand user workflows
  • Ability to synthesize fragmented feedback into priorities and product direction

AfterQuery Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about AfterQuery and has not been reviewed or approved by AfterQuery.

  • Fair & Transparent Compensation — Pay is considered attractive when work is accepted, with public role postings and materials indicating strong compensation across expert projects and core employee roles. The experts track also highlights transparent pay rates and approval-linked payouts that do land.
  • Healthcare Strength — Employee materials indicate medical, vision, and dental insurance are provided. Job postings reference a comprehensive package consistent with standard coverage.
  • Wellbeing & Lifestyle Benefits — Daily meal stipends, commute support via Uber credits, and a monthly wellness stipend (including gym membership coverage) are prominently advertised. These lifestyle perks suggest attention to day-to-day convenience and wellbeing.

AfterQuery Insights

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The Company
200 Employees
Year Founded: 2024

What We Do

AfterQuery is an applied research lab curating data solutions to accelerate foundation model development.

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