AfterQuery

AfterQuery is a cutting-edge research lab dedicated to exploring and expanding the boundaries of artificial intelligence. We specialize in developing novel datasets and experimentation that power next-generation foundation models. Our customers include all major frontier AI labs. Backed by distinguished investors and a world-class founding team, we operate at the forefront of AI innovation and human data creation. Why Join Us? Be part of a company driving real impact on the future of AI Work alongside an exceptional founding team with backgrounds at leading technology and finance firms Unique opportunity to define and scale our marketing strategy from day one Competitive compensation with significant growth and learning opportunities Responsibilities Develop and execute AfterQuery’s go-to-market and brand strategy for technical and enterprise audiences Design, launch, and optimize multi-channel marketing campaigns to drive awareness, product adoption, and customer engagement across frontier AI labs Collaborate with founders and technical teams to craft compelling messaging for our offerings and breakthroughs Own marketing content creation—including case studies, whitepapers, presentations, and press releases Analyze campaign effectiveness, optimize strategies, and report on key performance metrics Represent AfterQuery at industry events, conferences, and online communities Requirements 2-5 years of experience in marketing, product marketing, or growth at a B2B or technical company (AI, software, or data infrastructure experience a strong plus) Deep understanding of AI, ML, and the evolving landscape of foundation models Strong communicator with experience crafting positioning and messaging for technical audiences Proven track record launching and scaling marketing campaigns that drive measurable results Experience working in fast-paced startup or research lab environments Hands-on approach, comfort wearing multiple hats, and ability to execute independently Preferred Qualifications Experience marketing products or services to AI labs or technical researchers Familiarity with developer-focused or open-source marketing Background in technical writing or communications Benefits Competitive salary and equity Opportunity to shape the marketing function at a high-growth, innovative research lab Work with a passionate, world-class team Flexible work arrangements How to Apply: If you are excited about helping define how AI labs innovate, and have the marketing expertise to build AfterQuery’s brand, we’d love to hear from you.

Senior Software Engineer, Infrastructure & Platform Role Overview As a Senior Software Engineer, Infrastructure & Platform at AfterQuery, you will design and build the core infrastructure that powers our data generation, evaluation, and agentic systems. You will be responsible for the shared platforms that enable our engineers and research teams to run large-scale human-in-the-loop workflows, evaluation harnesses, and automated data pipelines used to train frontier AI models. This is a highly technical role with broad ownership. You will architect and build foundational infrastructure that many other engineers depend on, ensuring systems are scalable, reliable, and capable of supporting extremely high-throughput workloads. You will work directly with the founding team to define system architecture, establish engineering best practices, and build the infrastructure that supports the next generation of AI development. Company Overview AfterQuery is a research lab investigating the boundaries and capabilities of artificial intelligence through novel datasets and experimentation. Our customers are the foundation model labs, and we serve all of the frontier AI labs. We are based in San Francisco, CA, and have raised funding from top investors, including Y Combinator and BoxGroup, ex-partners from Lightspeed and Index Ventures, and senior leadership at Google DeepMind and Meta GenAI. Our founding team brings backgrounds from Jane Street, Meta, Citadel Securities, Google, Goldman Sachs, Morgan Stanley, Silver Lake, Berkeley Artificial Intelligence Research (BAIR), and Stanford Artificial Intelligence Laboratory (SAIL). **\ Why Apply** **Massive Opportunity: ** We were one of the fastest-growing YC companies in our batch, and we believe we can become one of the fastest-growing YC companies of all time. **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 Design and build core infrastructure systems Architect and develop the shared infrastructure powering our data generation platforms, human-in-the-loop systems, and evaluation pipelines. Develop scalable distributed systems Build systems capable of processing large-scale datasets and high-throughput workloads with strong reliability guarantees. Build internal platforms and shared services Create reusable infrastructure and APIs that enable product engineers and researchers to build quickly and reliably on top of core systems. Optimize performance and reliability Design systems with strong observability, monitoring, and fault tolerance to support production workloads at scale. Own infrastructure architecture Help define long-term system architecture across data pipelines, compute infrastructure, task orchestration, and storage systems. Collaborate across engineering and research Work closely with engineers and researchers to support new AI experimentation workflows and platform capabilities. Establish engineering best practices Define standards for system design, deployment, reliability, and infrastructure operations. Required Qualifications Strong experience building production distributed systems or platform infrastructure Proficiency in Python and/or JavaScript (Node.js / Next.js) or similar backend technologies Experience designing and operating systems in cloud environments (GCP or AWS) Experience with message queues and event-driven systems (Kafka, RabbitMQ, Pub/Sub, etc.) Experience working with high-throughput data pipelines and asynchronous processing systems Strong understanding of system scalability, performance, and relia

About AfterQuery AfterQuery is helping push the frontier of LLMs and AI Agents through novel datasets and experimentation. We work on building the most complex infrastructure that powers frontier data creation for agentic and hard reasoning workflows. We work with all 5 of the leading AI labs and are becoming the go-to partner for data infrastructure for YC companies. We have a sharp hockey stick growth rate and are extremely talent-dense, with most of our founding team coming from top IB and quant firms. About the role As part of AfterQuery’s engineering team, you’ll have end-to-end ownership over projects that push the frontier of AI evaluation. You’ll work on a mix of research engineering (designing novel RL environments, agentic systems, evaluation harnesses) and platform engineering (building human-in-the-loop platforms, scaling data infrastructure, designing annotator workflows). This is not a narrow role. One week you might prototype a new RL environment from a research paper, the next you’ll be deploying distributed experiments on Kubernetes, and the week after you’ll be improving the reliability of our Next.js dashboards or building a Kafka pipeline for annotator analytics. What You’ll Do Design and build scalable systems: RL environments, APIs, and human-in-the-loop platforms. Collaborate across research, product, and design to ship features quickly. Write clean, maintainable code and contribute to documentation. Participate in code reviews and design discussions Solve real-world scalability and reliability challenges. Contribute to the core infrastructure powering data and evaluation for leading AI labs. What We’re Looking For Strong coding fundamentals in Node.js / TypeScript, Python and/or Go Deep understanding of distributed systems, scalability challenges, and system design. Familiarity with cloud platforms (GCP/AWS), Kubernetes, APIs, NoSQL databases. Ability to reason about trade-offs and balance speed vs reliability. Strong communication skills and a bias toward ownership, curiosity, and delivering simple solutions to complex problems. Bonus: Experience with RL environments, agentic systems, or human-in-the-loop workflows. Why AfterQuery Fast-paced: Join a high-growth, talent-dense team moving quickly to define the future of data and AI evaluation. Cutting-edge data: Work directly with frontier labs and see model capabilities months before the market. Ownership: As one of the first engineers, you’ll have an outsized impact, shaping core systems from day one.

About AfterQuery: AfterQuery empower foundational AI labs, enterprises, and startups by providing high-quality human-generated datasets that are essential for fine-tuning more capable, refined, and reliable AI systems. We are on the forefront of creating the most complex data infrastructure to capture the most useful data for our major clients. We have raised our most recent round from BoxGroup, YC and a group of strategic angels that will push us to be at the forefront of the industry.  About the role: As our first founding engineer, you’ll be critical in creating data infrastructure that will be shaping the future development of frontier models. You will be one of our first hires, and will get a lot of responsibility, owning entire projects end-to-end – meaning you can see your impact instantly.  What You’ll Do Build and scale complex data capturing workflows across web (Next.js) and desktop (Python) Architect and optimize data pipelines that experience high throughput, with heavy loads Collaborate with the founding team to define product strategy and ship features fast. Set engineering best practices and lay the groundwork for future team growth. What We’re Looking For At least 1-2 previous internships in front-end / full-stack development Proficiency in JavaScript (Next.js) and Python, with demonstrated experience building full-stack web applications. Expert-level experience with Docker containerization, including container lifecycle management, networking, and custom image creation. Experience with serverless architecture and cloud functions for implementing heavy data processing Founder-Bound: You love building and go out of your way to get your ideas into production :)   Why Join? Massive Opportunity: We were one of the fastest growing YC companies in our batch, and we believe we can be one of the fastest growing YC companies of all time  Founding role—you’ll define and own our data infrastructure from day one. Equity & Growth – Competitive salary + equity. As we scale, you’ll have the opportunity to lead and grow an engineering team. Strong Team: Founding team has experience from Citadel Securities, Meta, Google, Silver Lake, and Morgan Stanley – get to work with the best :)

AfterQuery is seeking exceptional candidates for our Strategic Projects Associate position. This is not a typical job – you'll work directly with our founding team on high-priority projects spanning product development, research, and operations. Company Overview <u>AfterQuery</u> is a research lab investigating the boundaries and capabilities of artificial intelligence through novel datasets and experimentation. Our customers are the foundation model labs, and we serve all of the frontier AI labs. We are based in San Francisco, CA, and have raised funding from top investors, including Y Combinator and BoxGroup, ex-partners from Lightspeed and Index Ventures, and senior leadership at Google DeepMind and Meta GenAI. Our founding team brings backgrounds from Jane Street, Meta, Citadel Securities, Google, Goldman Sachs, Morgan Stanley, Silver Lake, Berkeley Artificial Intelligence Research (BAIR), and Stanford Artificial Intelligence Laboratory (SAIL). Key Responsibilities Work closely with the world’s leading AI labs to build next generation datasets to push the boundaries of AI to the limits, directly generating revenue for the company Manage teams of experts across a wide variety of professional domains, like finance, software engineering, and law Create and execute on sales memos and the development of data samples Support the team across various operational initiatives What We Are Looking For Proficiency or strong interest in AI tools and technologies and Microsoft Office Excellent communication skills, both written and verbal Willingness to work 6 days a week, extremely high levels of agency Ability to learn very quickly and iterate Preference: technical skills (able to use AI tools like Claude Code) Preference: ability to start as soon as possible in-person in SF Your Growth Develop unparalleled AI fluency and AI hard skills Gain a network of frontier AI researchers, builders, and investors Learn how to build a company from 0 to 1 Direct mentorship from founding team Replacement for entry-level IB and consulting roles

_ This role has the potential to convert to a full-time position as an Strategic Projects Associate. _ AfterQuery is seeking exceptional candidates for our Strategic Projects Intern position. This is not a typical job – you'll work directly with our founding team on high-priority projects spanning product development, research, and operations. Company Overview <u>AfterQuery</u> is a research lab investigating the boundaries and capabilities of artificial intelligence through novel datasets and experimentation. Our customers are the foundation model labs, and we serve all of the frontier AI labs. We are based in San Francisco, CA, and have raised funding from top investors, including Y Combinator and BoxGroup, ex-partners from Lightspeed and Index Ventures, and senior leadership at Google DeepMind and Meta GenAI. Our founding team brings backgrounds from Jane Street, Meta, Citadel Securities, Google, Goldman Sachs, Morgan Stanley, Silver Lake, Berkeley Artificial Intelligence Research (BAIR), and Stanford Artificial Intelligence Laboratory (SAIL). Key Responsibilities Work closely with the world’s leading AI labs to build next generation datasets to push the boundaries of AI to the limits, directly generating revenue for the company Manage teams of experts across a wide variety of professional domains, like finance, software engineering, and law Create and execute on sales memos and the development of data samples Support the team across various operational initiatives What We Are Looking For Proficiency or strong interest in AI tools and technologies and Microsoft Office Excellent communication skills, both written and verbal Willingness to work 6 days a week, extremely high levels of agency Ability to learn very quickly and iterate Preference: technical skills (able to use AI tools like Claude Code) Preference: ability to start as soon as possible in-person in SF Your Growth Develop unparalleled AI fluency and AI hard skills Gain a network of frontier AI researchers, builders, and investors Learn how to build a company from 0 to 1 Direct mentorship from founding team Replacement for entry-level IB and consulting roles

AfterQuery is seeking exceptional candidates for our Strategic Projects Lead position. This is not a typical job – you'll work directly with our founding team on high-priority projects spanning product development, research, and operations. Base Salary: $110,000 - $150,000 Total Compensation: up to $300k in cash comp in addition to equity Company Overview <u>AfterQuery</u> is a research lab investigating the boundaries and capabilities of artificial intelligence through novel datasets and experimentation. Our customers are the foundation model labs, and we serve all of the frontier AI labs. We are based in San Francisco, CA, and have raised funding from top investors, including Y Combinator and BoxGroup, ex-partners from Lightspeed and Index Ventures, and senior leadership at Google DeepMind and Meta GenAI. Our founding team brings backgrounds from Jane Street, Meta, Citadel Securities, Google, Goldman Sachs, Morgan Stanley, Silver Lake, Berkeley Artificial Intelligence Research (BAIR), and Stanford Artificial Intelligence Laboratory (SAIL). Responsibilities Work closely with the world’s leading AI labs to generate next generation datasets to push the boundaries of AI to the limits, directly generating revenue for the company Manage teams of experts across a wide variety of domains, like finance, software engineering, and sciences Collaborate with internal teams to develop groundbreaking AI research Drive initiatives across the company as an early hire Support the team across various operational initiatives Required Qualifications Intense work ethic, agency, and drive Passion for AI and interest in entrepreneurship Competitive nature and demonstrated past success Strong leadership experience and communication skills Preferred Qualifications Ex-finance, consulting, or PE at a top firm Interested in making a pivot to AI with demonstrated success elsewhere Willingness to work 6-7 days a week

Technical Strategic Projects Associate AfterQuery is seeking exceptional candidates for our Technical Strategic Projects Associate position. This is not a typical operations role – you'll work directly with our founding team on high-priority technical and operational projects that directly support our work with frontier AI labs. Base Salary: $90,000 - $130,000 Company Overview AfterQuery is a research lab investigating the boundaries and capabilities of artificial intelligence through novel datasets and experimentation. Our customers are the foundation model labs—we serve all of the frontier AI labs. We are based in San Francisco, CA, and have raised funding from top investors, including Y Combinator and BoxGroup, ex-partners from Lightspeed and Index Ventures, and senior leadership at Google DeepMind and Meta GenAI. Our founding team brings backgrounds from Jane Street, Meta, Citadel Securities, Google, Goldman Sachs, Morgan Stanley, Silver Lake, Berkeley Artificial Intelligence Research (BAIR), and Stanford Artificial Intelligence Laboratory (SAIL). Why Apply Massive Opportunity: We were one of the fastest growing YC companies in our batch, and we believe we can be one of the fastest growing YC companies of all time Founding role —early hire with significant equity and direct exposure to founders Equity & Growth – Competitive salary + meaningful equity with clear path to advancement Strong Team: You get to work with the best :) The Opportunity Develop deep AI fluency and hands-on technical skills working with cutting-edge AI tools Build a network of frontier AI researchers, builders, and investors Learn how to scale a company from the ground up with direct mentorship from the founding team Fast-track alternative to traditional entry-level consulting, banking, or tech rotational programs Responsibilities Partner with frontier AI labs to coordinate dataset generation projects, manage timelines, and ensure delivery excellence Build and maintain operational tools using AI (ChatGPT, Claude Code) and scripting to automate workflows, track metrics, and improve efficiency Manage teams of technical experts across domains like software engineering, data science, and machine learning Create technical documentation, project briefs, and data samples for customer presentations Support product development by gathering technical requirements, coordinating testing, and tracking feature releases Analyze operational metrics and build lightweight dashboards to monitor project health and team performance Drive process improvements and build systems to scale operations as the company grows Interface with engineering and research teams on technical and operational coordination Required Qualifications Strong interest in AI and technical fluency—comfortable using AI tools like ChatGPT, Claude Code, and learning new technologies quickly Excellent written and verbal communication skills; ability to interface with technical and non-technical stakeholders Extreme ownership, agency, and ability to operate independently with minimal supervision Ability to learn rapidly, iterate, and thrive in ambiguous environments Strong organizational skills and attention to detail Collaborative mindset with ability to coordinate across teams Proficiency in Microsoft Office, Google Workspace, and knowledge of technical tools Preferred Qualifications Background in software engineering, ML engineering, AI research, or computer science Full-time or internship experience at a top tech company (FAANG, frontier AI lab) or quantitative trading firm Prior startup experience or founding experience Willingness to work long hours and weekends when projects demand it

AfterQuery is seeking exceptional candidates for our Technical Strategic Projects Intern position. You'll be joining us in SF full-time for the Spring 2026 semester. This is not a typical job – you'll work directly with our co-founder and CEO, Spencer, on high-priority operations and go-to-market initiatives. Company Overview <u>AfterQuery</u> is a research lab investigating the boundaries and capabilities of artificial intelligence through novel datasets and experimentation. Our customers are the foundation model labs, and we serve all of the frontier AI labs. We are based in San Francisco, CA, and have raised funding from top investors, including Y Combinator and BoxGroup, ex-partners from Lightspeed and Index Ventures, and senior leadership at Google DeepMind and Meta GenAI. Our founding team brings backgrounds from Jane Street, Meta, Citadel Securities, Google, Goldman Sachs, Morgan Stanley, Silver Lake, Berkeley Artificial Intelligence Research (BAIR), and Stanford Artificial Intelligence Laboratory (SAIL). Key Responsibilities Help create new expert-generated datasets Hire and manage small teams of domain experts across high-skilled professional services domains (i.e., doctors, software engineers, quants, lawyers, bankers) Collaborate with internal teams to drive groundbreaking AI research (i.e., <u>UI-Bench</u>, <u>FinanceQA</u>) Help design sales processes and strategies Support the founding team across various operational and sales initiatives Qualifications Enrolled in an undergraduate program, willing to relocate to SF for a gap semester <u>Technical background</u> (i.e., studies computer science, math, or statistics, or notable SWE/ML internship or research experience) Internship experience at a top consulting, finance, and tech firm Intense work ethic, agency, and drive Strong leadership experience and communication skills Excellent and quick communication (responds to messages in <1 hour) Attention to detail

Technical Strategic Projects Lead AfterQuery is seeking exceptional technical candidates for our Technical Strategic Projects Lead position. This is not a typical job – you'll work directly with our founding team on high-priority technical projects spanning AI research, product development, and engineering infrastructure. Total Compensation: Up to $300K in cash comp in addition to equity Company Overview AfterQuery is a research lab investigating the boundaries and capabilities of artificial intelligence through novel datasets and experimentation. Our customers are the foundation model labs—we serve all of the frontier AI labs. We are based in San Francisco, CA, and have raised funding from top investors, including Y Combinator and BoxGroup, ex-partners from Lightspeed and Index Ventures, and senior leadership at Google DeepMind and Meta GenAI. Our founding team brings backgrounds from Jane Street, Meta, Citadel Securities, Google, Goldman Sachs, Morgan Stanley, Silver Lake, Berkeley Artificial Intelligence Research (BAIR), and Stanford Artificial Intelligence Laboratory (SAIL). Why Apply Massive Opportunity: We were one of the fastest growing YC companies in our batch, and we believe we can be one of the fastest growing YC companies of all time Founding role —own critical technical initiatives from day one with significant equity upside Equity & Growth – Competitive salary + meaningful equity in a fast-scaling company Strong Team: You get to work with the best :) The Opportunity Work at the intersection of cutting-edge AI research and technical execution Direct collaboration with frontier AI labs on next-generation datasets and research Mission-driven, fast-moving culture that prizes curiosity, pragmatism, and excellence Broad technical scope—build tools, analyze data, ship product features, and drive technical strategy Responsibilities Work closely with the world’s leading AI labs to generate next generation datasets to push the boundaries of AI to the limits, directly generating revenue for the company Manage teams of technical experts across a wide variety of domains, like software engineering, data science, and machine learning Build technical infrastructure and tooling to support dataset generation, quality control, and delivery pipelines Drive technical and operational initiatives end-to-end: scoping requirements, building solutions, and managing technical experts Interface directly with engineering and research teams at leading AI labs Support the founding team on high-priority technical projects and operational initiatives Required Qualifications Strong technical background: CS degree, engineering experience, or equivalent demonstrated ability to ship technical projects Eagerness to manage experts for technical human data campaigns Intense work ethic, agency, and drive Proficiency in Python and comfort writing production-quality code Experience with data pipelines, APIs, or ML/AI tooling Passion for AI and demonstrated interest in frontier AI research Competitive nature and track record of exceptional achievement Strong leadership experience and communication skills Ability to context-switch rapidly between technical and strategic work Preferred Qualifications Background in software engineering, ML engineering, AI research, or computer science Experience at a top tech company (FAANG, frontier AI lab) or quantitative trading firm Prior startup experience or founding experience Willingness to work long hours and weekends when projects demand it

About AfterQuery AfterQuery is helping push the frontier of LLMs and AI Agents through novel datasets and experimentation. We work on building the most complex infrastructure that powers frontier data creation for agentic and hard reasoning workflows. We work with all 5 of the leading AI labs and are becoming the go-to partner for data infrastructure for YC companies. We have a sharp hockey stick growth rate and are extremely talent-dense, with most of our founding team coming from top IB and quant firms.  About the role As part of AfterQuery’s engineering team, you’ll have end-to-end ownership over projects that push the frontier of AI evaluation. You’ll work on a mix of research engineering (designing novel RL environments, agentic systems, evaluation harnesses) and platform engineering (building human-in-the-loop platforms, scaling data infrastructure, designing annotator workflows). This is not a narrow role. One week you might prototype a new RL environment from a research paper, the next you’ll be deploying distributed experiments on Kubernetes, and the week after you’ll be improving the reliability of our Next.js dashboards or building a Kafka pipeline for annotator analytics.  What You’ll Do Design and build scalable systems: RL environments, APIs, and human-in-the-loop platforms. Collaborate across research, product, and design to ship features quickly. Write clean, maintainable code and contribute to documentation. Participate in code reviews and design discussions Solve real-world scalability and reliability challenges. Contribute to the core infrastructure powering data and evaluation for leading AI labs. What We’re Looking For Strong coding fundamentals in Node.js / TypeScript, Python and/or Go Deep understanding of distributed systems, scalability challenges, and system design. Familiarity with cloud platforms (GCP/AWS), Kubernetes, APIs, NoSQL databases. Ability to reason about trade-offs and balance speed vs reliability. Strong communication skills and a bias toward ownership, curiosity, and delivering simple solutions to complex problems. Bonus: Experience with RL environments, agentic systems, or human-in-the-loop workflows. Why AfterQuery Fast-paced: Join a high-growth, talent-dense team moving quickly to define the future of data and AI evaluation. Cutting-edge data: Work directly with frontier labs and see model capabilities months before the market. Ownership: As one of the first engineers, you’ll have an outsized impact, shaping core systems from day one. Benefits Generous equity grant vested over 4 years Daily lunch & dinner covered Free gym membership Health insurance