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Gtm Operations Lead

AfterQuery

OnSite San Francisco
Traffic Manager Ecommerce Analyst Advertising

Job Score

100 pts
On-site model (+70) Traffic Manager (+10) Ecommerce Analyst (+10) 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.

About the role

AfterQuery is hiring a GTM (Go-to-market) Operations Lead to power the throughput of our revenue engine. Sales Ops at AfterQuery is accountable for the machinery behind every deal and for metrics like close rate and time-to-close. You will work alongside Engagement Managers (EMs), taking end-to-end ownership of the execution layer of that machine so the team can spend more time with customers.

This is a role for someone who can switch altitudes. In a single day you might reconcile an invoice, rebuild a pipeline dashboard, assemble the data package for a frontier-lab RFI, and then step back and propose how to automate the whole workflow so it never needs manual touch again. The work can be unglamorous, but is mission-critical in equal measure, and you’ll be judged on throughput, accuracy, and how much of your own job you make disappear.

You won’t inherit a mature RevOps stack. You’ll inherit a fast-moving one (e.g., Attio for CRM, Ramp for billing, an internal data and analytics site) and a mandate to make it hum. Bonus points if you architect the future, improving our sales process and building infrastructure to 10x our business without increasing manual burden.

What you’ll do

  • Architect CRM and pipeline hygiene. Keep deal records, stages, and dashboards accurate and current; run the execution layer of deal management and dashboarding so leadership always has a trustworthy pipeline view and EMs are held accountable.

  • Standardize how we pitch and sell. Partnering with EMs and delivery leads to codify a repeatable sales process to optimize for quality and velocity.

  • Own analytics & attribution. Track deal pipeline, sales attribution, and ROI on sales events (conferences, dinners, etc.). Build forecasting and reporting to tell us what’s working.

  • Drive RFI and inbound request responses. Gather, format, and assemble dataset materials and data-site outputs for customer RFIs with speed and attention to detail.

  • Run contract-to-cash execution. Manage invoicing and accounts-receivable follow-up with our Accounting team, and support contracting, documenting process for future team members.

  • Own and automate the sales stack. Identify and set up whatever tools the team needs to succeed — lead-gen, outreach, and beyond — then partner with ops and engineering to automate the manual work out of it, so your scope gets more strategic over time.

  • Own follow-ups and triage. Track and execute first-touch follow-ups from conferences and customer meetings; triage website inbound so qualified lab conversations reach the right person fast; facilitate clean hand offs between Sales and other teams so nothing drops between a closed deal and delivery.

  • Design customer engagement cadences. Consult with EMs and client delivery leads to learn, then automate project status and customer-facing updates to drive project outcomes.

  • Build strategic customer collateral to drive outcomes. Maintain and improve customer-facing data offering and product updates, and build effective suite of materials to enable our customer engagement team.

What we’re looking for

  • 5-7+ years of experience in sales operations, revenue operations, business operations, banking/consulting, or a similarly execution-heavy, analytical role; you’ve built sales or revops from 0 to 1, and/or have grown a similar team at a fast-growing startup.

  • Proven high-volume execution: you can run ten workstreams in parallel, keep every ball in the air, and your error rate stays near zero. Detail is not a chore for you; it’s a reflex.

  • Altitude switcher: equally comfortable doing data entry at 9am and proposing a process redesign at 3pm. Neither phases you.

  • Systems thinking: you have strong opinions on a revenue tech stack, and learn AI-native tools fast (CRMs like Attio/Salesforce/HubSpot, billing systems, spreadsheets at an advanced level). You instinctively look for automation.

  • Strong communicator: you’re a storyteller with numbers - i.e. clear, concise customer-facing updates, internal status reports, and clean documentation informing action.

  • High agency, low ego. You don’t wait to be assigned; you see the gap, close it, and iterate.

  • Comfortable in a 5-day in-office SF environment that prizes speed, direct feedback, and rapid context-switching.

Bonus qualifications

  • You’ve worked in or around AI, data, or developer-facing products and can speak credibly about datasets and model training.

  • You’ve built automations (Zapier/Make, scripts, CRM workflows) that eliminate a recurring manual process.

  • Exposure to contracting, procurement, or AR processes at a B2B company.

Compensation Structure

 
  • $190-250k base + bonus + equity

  • Comprehensive benefits (UberEats and ride share stipend, comped Equinox, 401K with match, health, dental, and vision insurance)

Why AfterQuery

  • You’ll sit inside the revenue engine of one of the fastest-growing companies in the AI training-data category, with visibility into every deal we do with frontier labs.

  • Build your own career path: Show us how you plan to take over what exists and what the future looks like for this function.

  • A small, dense team with high standards. We hire people we’d be sad to lose, and we work hard to keep them.

Equal opportunity

AfterQuery is an equal opportunity employer. We hire on merit and evaluate everyone against the same bar.

About Traffic Manager

The Traffic Manager is the professional responsible for planning, executing, and optimizing paid media campaigns across various digital platforms. With the competitiveness of the digital market, paid traffic professionals are essential for generating qualified leads and maximizing return on advertising investment.

Key skills include campaign management on Google Ads, Meta Ads, LinkedIn Ads, and TikTok Ads, media planning, metrics analysis (ROAS, CPA, CPC, CTR), A/B testing, remarketing, and landing page creation. Tools like Google Analytics, Google Tag Manager, Hotjar, and automation platforms are essential.

Traffic managers in technology companies are highly valued, especially those who master performance marketing, conversion funnel optimization, and scaling strategies. The field offers opportunities from media analyst to head of performance, with a focus on growth, budget efficiency, and return on investment.

About Ecommerce Analyst

The Ecommerce Analyst is the professional responsible for analyzing online sales data, buyer behavior, and virtual store performance to guide strategic decisions. They combine data analysis with ecommerce knowledge to optimize conversion, average order value, and return on investment.

Key skills include Google Analytics (GA4), Hotjar, conversion funnel analysis, cohort analysis, customer segmentation, pricing analysis, and ecommerce metrics (CAC, CLV, AOV, conversion rate). Knowledge of SQL, Power BI, Google Tag Manager, and platforms like Shopify and VTEX is a differentiator.

Ecommerce Analysts in technology companies are highly valued, especially those who can turn buyer behavior data into actionable insights to increase revenue and reduce cart abandonment. The field offers opportunities from junior analyst to ecommerce analytics manager.

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 Talent Acquisition

Talent Acquisition is the strategic area responsible for attracting, selecting, and hiring the best professionals for the organization. Unlike traditional recruitment, TA acts as a strategic business partner, aligning talent acquisition with the company's long-term objectives.

Key skills include advanced sourcing, employer branding, labor market analysis, talent pipeline management, and candidate experience. Tools like LinkedIn Recruiter, ATS (Greenhouse, Lever, Ashby), and assessment platforms are essential.

TA professionals in technology companies are highly valued, especially those who master tech sourcing, workforce planning, and recruitment metrics like time-to-hire and cost-per-hire.

About Data

The Data field has undergone a radical transformation with the rise of Generative AI. Data professionals are fundamental for evidence-based decision-making across all industries.

Key specializations include Data Engineering, Data Science, Business Intelligence, Machine Learning Engineering, and Analytics. Tools like SQL, Python, Spark, dbt, and cloud platforms (AWS, GCP, Azure) are essential.

The data market continues with high demand and salaries among the most competitive in the technology sector, with many remote work opportunities.

About Office Suite

Proficiency in Office Suite is an essential skill for professionals across various areas. Microsoft Excel, Word, PowerPoint, and Outlook are fundamental tools in the corporate day-to-day, while Google Workspace and other collaborative solutions are gaining increasing space.

Key skills include advanced Excel (formulas, pivot tables, Power Query, VBA/Macros), Word (formatting, mail merge, styles), PowerPoint (presentation design, animations), Outlook (email and calendar management), and collaborative tools like Google Sheets, Notion, and Airtable.

Professionals with advanced Office Suite proficiency are valued in administrative, financial, data, and operational areas. Microsoft Office Specialist (MOS) certifications are important differentiators. The combination of advanced Excel with data analysis skills is one of the most in-demand competencies in the market.

About Administrative

The Administrative area is responsible for ensuring the efficient functioning of all organizational operations. Administrative professionals manage processes, human resources, procurement, and facility management.

Key skills include process management, Office 365, administrative ERPs, compliance, and people management. Knowledge of automation and AI tools is becoming increasingly relevant.

The digitization of administrative processes has created new opportunities for professionals who master technology and management.

About Photography

The Photography area encompasses the capture, editing, and processing of static images for commercial, advertising, editorial, or artistic purposes. Professionals in this field master lighting techniques, visual composition, camera and lens operation, as well as the use of specialized editing and post-processing software such as Adobe Photoshop and Lightroom.

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

UX/UI, Graphic Design, Product Design. Portfolio, tools, interviews, and growth in the Design field.

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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 Back-End Development Market

The Back-End Development Market: Barriers, Opportunities, and the Path to the Top

Behind every brilliant application, revolutionary artificial intelligence, or successful fintech, there is an invisible and robust ecosystem. Welcome to the Back-End universe.

The Modern Back-End Paradox: Did AI Steal the Jobs?

With the rise of tools like GitHub Copilot and Cursor, many junior developers wonder if the Back-End career is threatened. The short answer is: no. In fact, it has evolved.

Artificial Intelligence has made writing basic "CRUD" (Create, Read, Update, Delete) code trivial. However, the market no longer pays six-figure salaries for writing repetitive code. The global market is actively hunting for Software Engineers—professionals who understand architecture, resilience, latency, and scalability. The Back-End didn't die; the bar was simply raised.

Barriers to Entry: What Separates Juniors from Seniors

Entering Back-End development today requires overcoming technical barriers that go far beyond mastering a programming language (like Java, C#, Go, or Python). Key barriers include:

  • System Design: Knowing how to design a system that supports 100 users is easy. Designing one that handles 1 million requests per second requires deep knowledge of load balancing, caching (Redis/Memcached), and message queues (RabbitMQ/Kafka).
  • Data Complexity: The debate is no longer just "SQL vs. NoSQL". It is about data modeling, replication, sharding, and how to avoid database bottlenecks in distributed systems.
  • Security: With data breaches costing millions, companies require developers to master security practices from day one. Not knowing the vulnerabilities listed by the OWASP Top 10 is a dealbreaker for premium remote roles.
  • DevOps and Cloud Culture: The modern Back-End developer must understand containerization (Docker), orchestration (Kubernetes), and cloud infrastructure (AWS, GCP, Azure).

Golden Opportunities: Where is the Money?

For those who overcome these barriers, the market is a blue ocean of opportunities, especially for US/Global Remote work.

  • Migration to Microservices and Serverless: Corporate giants continue to dismantle legacy monoliths. Professionals who understand the patterns described by Martin Fowler are highly sought after.
  • High-Performance Languages: While traditional languages maintain their corporate strength, the use of Go (Golang) and Rust has skyrocketed for systems requiring massive concurrency and low memory footprint (Green Computing).
  • AI Infrastructure: AI models don't run in a vacuum. There is a massive demand for Back-End engineers proficient in Python and C++ to build data pipelines (MLOps) and the APIs that serve these models in real time.

Success Stories: Architectural Decisions That Changed the Game

True Back-End engineering shines when solving impossible problems. Let's look at real-market examples:

The Discord Case (Migration to Rust): Discord faced latency spikes in its core Read States service, originally written in Go. Because Go's Garbage Collector caused critical millisecond freezes, the team rewrote the service in Rust, completely eliminating latency spikes and supporting trillions of messages with absurd efficiency. This proved the value of choosing the right tool for performance limits.

The Netflix Case (Pioneering Microservices): Netflix transformed a monolithic system that broke under pressure into an architecture of thousands of independently managed microservices. They pioneered the concept of Chaos Engineering, purposely shutting down production servers to ensure their Back-End was resilient to failure.

Practical Tips: How to Land Premium Global Jobs

  1. Master the Fundamentals: Before learning the trendy framework of the month, study data structures, algorithms, and time complexity (Big-O Notation). This is exactly what will be tested in high-level technical interviews (Whiteboard interviews).
  2. Build a Problem-Focused Portfolio: A GitHub repository with a "To-Do List" won't impress anyone. Build an API that handles asynchronous image processing, create a scalable URL shortener, or engineer a messaging system using WebSockets and Redis.
  3. Study Real Cloud Architecture: Get solutions-based certifications (like AWS Certified Developer or Solutions Architect). These serve as a "Seal of Approval" to bypass strict Applicant Tracking Systems (ATS) like Greenhouse or Ashby.
  4. Flawless Technical Communication: According to the Stack Overflow Developer Survey, the highest-paying roles require asynchronous global collaboration. Your code documentation, commit messages, and PR reviews must be pristine and professional.

Verdict: Is a Career in Back-End Worth It?

Absolutely. If you are an analytical person who loves solving complex puzzles and cares about the security and efficiency of things no one sees, the Back-End is your place.

It is a career virtually immune to visual fads. While Front-End libraries change every few years, the fundamentals of relational databases, networks, and operating systems remain the same. It is a rock-solid foundation for a highly lucrative and globalized career.