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AfterQuery

Strategic Projects Lead - Engineering (Life Sciences & Chemical)

San FranciscoOnsite · United States
Staff · FullTime · Operations
POSTED 6 NOVVERIFIED 1H AGO
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Role
3 days opentrue age
Posted 6 Nov
Payats field
$150k–225kposted
▼ −11% vs market median $210k
$150k$250k
Market p25–p75
$177k–$250k
AfterQuery p25–p75
$188k–$195kn=13
SF Bay Area · n=789 · 365d to 6 Nov
CompanyAfterQuery →
42open roles
Opened · 30d
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Closed · 30d
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9d of snapshots · 30d window
Market
23,217open · Staff Other
Opened · 7d
+1,5507% of open
All other
623,724open
All tracked boards · live 10 Nov · n=23,217
Python

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.

Key Responsibilities

Project and client management: Work with the world’s leading AI organizations to build next-generation data solutions that push the limits of model capability, while directly 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. Your taste and judgement will shape what foundation models become.

Drive high-impact execution end-to-end: Own critical projects from idea to delivery. From scoping, executing, iterating, and shipping in a fast-moving, high-stakes environment, you will touch it all.

Gain top tier operational experience: Support the team across a range of operational initiatives that will directly contribute to the future of AfterQuery. You will work across multiple parts of the business in the same week, ranging from building, analyzing, coordinating, and executing where needed most.

Required Qualifications

3+ years of industry or applied research experience in chemical engineering, biochemical engineering, biotechnology, pharmaceutical sciences, biomedical engineering, or a related life-sciences field.

Strong technical background in at least one relevant discipline, such as chemical process design, process modeling and optimization, bioprocess engineering, drug development, or biomedical systems.

Deep understanding of scientific and engineering fundamentals within your area of expertise, with the ability to evaluate technical reasoning, identify errors, and assess real-world constraints and tradeoffs.

High agency and strong work ethic; comfort defining problems and thriving with minimal direction in ambiguous situations.

Demonstrated leadership excellence and strong communication abilities.

Genuine passion for AI and an entrepreneurial inclination.

Demonstrated competitive success (e.g., patents, publications, research awards, or top-tier academic/professional achievement).

Preferred Qualifications

Proficiency in Python or experience with scientific computing, process simulation, or analysis tools relevant to your discipline (e.g., Aspen Plus, Aspen HYSYS, MATLAB, COMSOL, or computational biology tools).

Advanced degree (MS/PhD) in chemical engineering, biomedical engineering, biotechnology, chemistry, biology, or a related field.

Experience in chemical manufacturing, pharmaceutical development, biotechnology, bioprocessing, or medical-device development.

Source · AfterQueryFirst seen 7 NovOriginal ↗