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Quality Control Lead

AfterQuery

OnSite San Francisco
Advertising

Job Score

80 pts
On-site model (+70) Advertising (+10)

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. 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.

Why Apply

Massive Opportunity: We are 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.

We're looking for a Quality Control Lead to own the final checkpoint between raw data and delivered product. You'll be the person who decides what's good enough to ship, the coach who helps contributors get better, and the builder who automates away the errors that shouldn't happen twice.

Key Responsibilities

  • Final Quality Review: Own the last quality checkpoint before datasets are delivered or published, auditing outputs (including code, technical, and reasoning data) for correctness, clarity, structure, and adherence to spec.

  • QC Process & Tooling: Work with infrastructure engineers to continuously automate and improve QC workflows

  • Cross-Functional Feedback Loop: Partner with data delivery teams to identify systemic quality issues, feed corrections back into contributor training, and prevent recurrence.

  • Metrics & Reporting: Own quality metrics and KPIs, reporting on error rates, root causes, and improvement trends to company leadership.

  • Operational Support: Contribute to company-wide initiatives across building, analysis, coordination, and execution as AfterQuery scales.

Required Qualifications

  • 3+ years of experience in a technical role (software engineering, data science, ML engineering, or similar) with hands-on proficiency in at least one modern programming language

  • Proven ability to review, debug, and evaluate both code and technical data and knowledge work data for correctness, structure, and quality; demonstrated rigor in reviewing others' work

  • Experience building or leading a quality assurance/quality control function, ideally for a technical or data-centric product

  • Extremely high attention to detail and comfort making judgment calls on ambiguous or contested technical content

  • Strong leadership and communication skills; able to translate technical quality issues into clear, actionable feedback across a distributed team

  • High agency and strong work ethic; comfort operating with minimal direction in ambiguous, fast-moving environments

  • Genuine passion for AI and an entrepreneurial inclination

  • Demonstrated competitive success

Preferred Qualifications

  • Experience in AI training data, RLHF, or data-annotation quality assurance

  • Background reviewing datasets across multiple domains (code, reasoning, knowledge work)

  • Experience designing rubrics, grading criteria, or automated quality-check tooling/scripts

  • Familiarity with Claude Code or similar AI-assisted workflow tools

  • Computer science degree or equivalent hands-on engineering background

Company Benefits (For Eligible Employees):

  • Health Insurance: Medical, Vision, Dental

  • 401(k) with Employer Match

  • Daily Meals: Daily UberEats Stipend

  • Monthly Wellness Stipend

  • Commute Covered

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.

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About Advertising

The Advertising area is aimed at the planning, creation, and delivery of communication campaigns to promote brands, products, ideas, or services. Professionals in the sector work in advertising agencies or in-house marketing departments in creative fields (art direction, copywriting), strategic planning, account management, and media buying.

Discover Other Areas

Understand the scope of work, key skills, and tools used in different career areas.

About Business Intelligence

Business Intelligence (BI) is the area responsible for transforming raw data into strategic information for decision-making. BI professionals build dashboards, reports, and analyses that help companies understand their performance and identify growth opportunities.

Key skills include data modeling (star schema, snowflake), ETL (extraction, transformation, loading), advanced SQL, BI tools (Power BI, Tableau, Looker), data warehousing, KPIs, and business metrics analysis (MRR, churn, cohort). Knowledge of dbt, Airflow, and data pipelines is a differentiator.

BI professionals in technology companies are highly valued, especially those who master data visualization, analytics engineering, and can translate complex data into actionable insights for the business. The field offers opportunities from BI analyst to head of data, with a focus on data-driven decision making.

About Ecommerce Manager

The Ecommerce Manager is the professional responsible for the entire strategic and operational management of online stores and marketplaces. They lead teams, define pricing, promotion, and catalog strategies, and monitor online sales performance across multiple platforms.

Key skills include catalog management, dynamic pricing, seasonal campaigns (Black Friday, Cyber Monday), marketplace management (Amazon, Mercado Livre, Shopee, Magalu), paid traffic, CRO, and team management. Knowledge of Shopify, VTEX, WooCommerce, Google Ads, Meta Ads, and performance metrics is a differentiator.

Ecommerce Managers in technology companies are highly valued, especially those who master multi-marketplace management, checkout optimization, and mobile commerce strategies. The field offers opportunities from ecommerce manager to head of ecommerce, with a focus on revenue, customer experience, and growth.

About Mobile Development

Mobile Development is one of the most dynamic and constantly evolving fields in the technology market. With billions of smartphones worldwide, the demand for qualified mobile developers continues to grow exponentially.

Key stacks include Flutter (Dart), React Native (JavaScript/TypeScript), Kotlin (Android native), Swift (iOS native), and hybrid frameworks like Ionic and Capacitor. Knowledge of mobile architecture (MVVM, Clean Architecture), mobile CI/CD (Fastlane, Bitrise, Codemagic), and App Store/Google Play publishing are essential.

Senior mobile developers are highly valued professionals, with competitive salaries and many remote work opportunities at international companies. Specializing in cross-platform or native is a strategic career decision.

About Cloud Solutions

The Cloud Solutions area is responsible for designing, implementing, and managing cloud infrastructure and services (AWS, Azure, GCP) for companies. Cloud professionals architect scalable, secure, and cost-optimized solutions, from data center migrations to serverless and multi-cloud architectures.

Key skills include IaC (Terraform, CloudFormation), containers (Docker, Kubernetes), serverless (Lambda, Cloud Functions), managed databases (RDS, DynamoDB, BigQuery), cloud networking (VPC, CDN, load balancer), and security (IAM, WAF, KMS). Knowledge of FinOps, cloud governance, and AWS/Azure/GCP certifications is a differentiator.

Cloud Solutions professionals in technology companies are highly valued, especially those who master multi-cloud architectures, FinOps, and can optimize costs while maintaining performance and security. The field offers opportunities from cloud engineer to cloud solutions architect, head of cloud, and chief cloud architect.

About Fullstack

Fullstack developers are versatile professionals capable of working on both frontend and backend of web and mobile applications. They master multiple technologies and can build complete products end-to-end, from the user interface to server infrastructure.

Key skills include proficiency in at least one complete stack (React/Vue/Angular + Node.js/PHP/Python/Java), databases (SQL and NoSQL), REST/GraphQL APIs, Git versioning, CI/CD, and basic infrastructure knowledge (Docker, cloud). Clean architecture, DDD, and testing are important differentiators.

Fullstack developers are highly valued in startups and companies that need versatile and autonomous professionals. The field offers opportunities from junior developer to software architect, with a focus on complete delivery, holistic product vision, and ability to work across multiple application layers.

Career Guides

Technology Career Guide

Planning, skills, interviews, and professional growth in IT, Data Science, DevOps, and Product.

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Design Career Guide

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Marketing Career Guide

SEO, Paid Media, Growth, Content Marketing. Certifications, tools, and strategies to grow in Digital Marketing.

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Finance Career Guide

Financial market, investments, corporate finance, certifications, and strategies to grow in the financial field.

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Communication Career Guide

Journalism, PR, Corporate Communication, Content Marketing, and Multimedia Production.

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Administration Career Guide

Business Management, HR, Logistics, Consulting, Project Management, and Entrepreneurship.

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Data Career Guide

Data Science, Data Engineering, BI, Machine Learning, and AI. From training to the job market.

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Product Career Guide

Product Management, Product Ownership, Agile, Scrum, and OKRs. From strategy to execution.

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Tech & Remote Glossary

Stop getting lost in interviews and job descriptions

The job market, especially within tech and global companies, has developed its own dialect. Not understanding these acronyms can make you lose valuable opportunities or poorly negotiate your contract. To end this problem, we created the Definitive Glossary for the Remote Professional.

🏢 Work Models & Routine

Async (Asynchronous Work)
A communication model where responses don't need to be immediate. Instead of back-to-back meetings, the team relies on well-structured documents, threads, and messages. It's the gold standard for global companies spanning multiple time zones.
Sync (Synchronous Work)
The opposite of Async. It requires the team to be online and available at the same time for meetings, live chats, and real-time collaboration.
Daily / Stand-up
A quick daily meeting (usually 15 minutes) common in Agile (Scrum) methodologies. The team answers three questions: What did I do yesterday? What will I do today? Are there any blockers?
All-Hands / Town Hall
A company-wide meeting involving all employees. Usually led by the founders (C-Levels) to present results, new goals, and answer team questions.
1:1 (One-on-One)
A recurring individual meeting between a professional and their direct manager. It is used for career alignment, feedback, and problem-solving, not just for project status updates.

💰 Contracts, Benefits & Compensation

PTO (Paid Time Off)
Instead of strict, categorized leave policies, modern US companies usually offer a flexible pool of days (e.g., 20 days of PTO, or even "Unlimited PTO") that you can use for vacations, sick days, or personal matters, while receiving your regular compensation.
Equity / Stock Options
Company ownership. The startup offers you the right to buy shares at a heavily discounted strike price in the future. If the company grows, goes public, or is acquired, these shares can be highly lucrative.
Vesting (Vesting Schedule)
The rule that controls your Equity. It usually lasts 4 years. You don't get all the shares on day one; you "earn" them gradually as you stay with the company. A "1-year Cliff" means you must stay for at least one year to receive your first batch of shares.
RSUs (Restricted Stock Units)
Unlike Stock Options (where you have the right to buy the stock), RSUs are actual shares the company grants you as a bonus or part of your compensation package, following a strict Vesting schedule.
Independent Contractor (1099 / B2B)
The most common international hiring model for global talent working for US companies. You act as a service provider (business-to-business), receiving the gross salary (often six-figure compensation) without standard local payroll tax deductions at the source.

🤖 Recruitment & Hiring Process

ATS (Applicant Tracking System)
The "robot" that reads your resume. Software like Greenhouse, Ashby, and Workday are used to filter candidates by keywords before a human even looks at the document. (Pro tip: this is why your resume must be clean, semantic, and have the right keywords).
JD (Job Description)
The document that lists the responsibilities, technical requirements, and benefits of the open position.
Cultural Fit
The interview stage that evaluates if your core values, communication style, and worldview align with the company's culture. This is the ultimate test of your Soft Skills.
Onboarding
The integration process. It's the period of your first few weeks at the company, where you get your access credentials, learn about the culture, study the internal documentation, and understand how the product works.

🚀 How to use this to your advantage?

The secret isn't just knowing what these acronyms mean, but using them actively. If during an interview for a premium tech role you ask, "How does your PTO policy and Vesting schedule work?", the recruiter will immediately perceive you as a high-level professional, familiar with the global market standards.

The remote job market requires preparation. And having the right vocabulary is the first big step to securing six-figure proposals and standing out among thousands of applicants.

Expert Tip

The Evolution of Support and Customer Success

The Evolution of Support and Customer Success: Opportunities, Tools, and the New Professional Profile

Discover how customer service evolved from a cost center into the ultimate growth and retention engine for the world's leading tech and SaaS companies.

The Current Landscape: From Cost Center to Revenue Engine

Historically, customer support was viewed by companies merely as a reactive department, focused on troubleshooting technical issues and closing tickets. However, with the consolidation of the SaaS (Software as a Service) business model and the subscription economy, the game has drastically changed.

Today, Customer Experience (CX) and Customer Success (CS) are the pillars of a company's financial sustainability. The logic is simple: in a highly competitive market, the Customer Acquisition Cost (CAC) is incredibly high. Losing a customer (Churn) means bleeding money. The modern support professional is, in reality, a strategist focused on retention, account expansion (Upsell/Cross-sell), and ensuring that the client achieves their desired outcomes using the product.

"Acquiring a new customer is anywhere from five to 25 times more expensive than retaining an existing one." — Harvard Business Review

Customer Support vs. Customer Success: Understanding the Difference

Although both areas walk hand-in-hand, their roles and success metrics in the job market are distinct. Understanding this difference is crucial for anyone looking to enter or advance in this career:

  • Customer Support: Predominantly reactive and transactional. The focus is on the speed and efficiency of issue resolution. Common metrics include First Response Time (FRT), Mean Time to Resolution (MTTR), and Customer Satisfaction Score (CSAT).
  • Customer Success: A proactive and long-term function. The goal is to ensure the customer extracts maximum value from the product. CS professionals analyze the Health Score, conduct Quarterly Business Reviews (QBRs), and directly target Net Retention Revenue (NRR) while combating Churn.

Market Opportunities and Global Remote Work

The global market for B2B Support and CS professionals is hotter than ever. Startups and major international corporations are massively hiring talent worldwide to provide 24/7 coverage across different time zones.

Opportunities range from entry-level roles, such as Customer Support Representative (CSR), to high-level executive positions like Key Account Manager, Implementation Specialist, Customer Success Manager (CSM), and Head of CX. For professionals with native or fluent English, "Global Remote" and "US Remote" positions offer highly competitive six-figure compensation packages, equity, and aggressive benefits.

Tech Stack: The Tools You Must Master

To pass through the rigorous ATS (Applicant Tracking Systems, like Greenhouse or Ashby) used by top-tier tech companies, your resume must showcase familiarity with the platforms that orchestrate the customer journey. The most demanded tools include:

  • Zendesk and Intercom: The global leaders in ticket management, asynchronous chat, and omnichannel support automation.
  • Salesforce and HubSpot: Essential CRMs (Customer Relationship Management) to maintain data history and alignment between Sales and Support teams.
  • Jira and Confluence: Atlassian tools crucial for escalating frontline bugs directly to the Engineering and Product teams.
  • Gainsight and Totango: Enterprise-grade platforms specifically built for Customer Success, used to monitor portfolio health predictively.

The Profile of the Modern CX Professional

The stereotype of the agent reading from a rigid script is a thing of the past. Tech recruiters are looking for a profile that blends emotional intelligence with analytical (data-driven) capabilities. The most valued competencies today are:

  1. Empathy and Resilience: The ability to de-escalate frustrated clients and turn crises into loyalty-building opportunities.
  2. Flawless Asynchronous Communication: Especially in remote work environments, clarity in writing emails, documentation, and chat threads is non-negotiable.
  3. Data Literacy: Knowing how to read dashboards, spot where users are getting stuck in the product, and suggest improvements based on hard data.
  4. Product Vision: Modern support acts as the primary feedback loop between the end-user and the Engineering and UX Design teams.