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AfterQuery

LLM app development platform with observability

Head of Enterprise GTM

Account ExecutivePosted on Nov 9
Full-timeSan Francisco, CA, USAIn-person

About the Job

Requirements

  • At least 7 years of experience in enterprise sales, strategic business development, commercial leadership, or enterprise go-to-market at a high-growth technology company.
  • A proven track record of independently building enterprise pipelines, acquiring major customers, and closing complex, high-value commercial agreements.
  • Experience leading enterprise go-to-market or sales functions, ideally in an early-stage or high-growth company where the commercial motion was built from the ground up.
  • Strong commercial judgment and experience structuring sophisticated enterprise deals, including pricing, contracts, resource requirements, and engagement economics.
  • Experience selling complex software, artificial intelligence solutions, technical services, or research-driven solutions to large enterprise customers.
  • Ability to operate as a hands-on individual contributor while providing strategic leadership and direction from day one.
  • Experience owning customer engagements beyond the sale, including implementation, delivery, stakeholder management, and ensuring contractual commitments are met.
  • Strong technical aptitude and ability to understand complex artificial intelligence capabilities, engage credibly with technical stakeholders, and translate customer problems into executable solutions.
  • Ability to work closely with research, engineering, and operations teams to scope engagements, align resources, and deliver against customer expectations.
  • Ability to take ownership, operate independently, move quickly, and create structure where little exists.
  • Executive presence, negotiation, communication, and relationship-building skills.
  • Comfort operating in an ambiguous, fast-moving environment where individual ownership, commercial judgment, and results are essential.

Responsibilities

  • Take full ownership of the enterprise go-to-market strategy, commercial execution, and overall customer acquisition efforts.
  • Define and execute the strategy for identifying, pursuing, and closing high-value enterprise opportunities across artificial intelligence, technology, and other relevant industries.
  • Personally drive outbound prospecting, relationship development, pipeline generation, and strategic account acquisition while building the foundation for a scalable sales organization.
  • Establish the enterprise sales motion, including target account strategy, qualification, positioning, pricing, deal structures, and commercial negotiations.
  • Identify the highest-value customer use cases for custom evaluations, data generation, model training, and post-training engagements.
  • Build the processes, playbooks, metrics, and operating cadence needed to create a repeatable and scalable go-to-market function.
  • Establish, hire, and lead a high-performing enterprise go-to-market team as the business scales, setting clear expectations for performance, accountability, and execution.
  • Build and own relationships with senior executives, business leaders, and technical decision-makers across large enterprise organizations.
  • Lead consultative discovery to understand customer workflows, business objectives, technical requirements, and opportunities for artificial-intelligence-driven improvement.
  • Translate customer problems into compelling commercial opportunities, developing proposals that connect the company’s capabilities to measurable business outcomes.
  • Own the full sales cycle, from initial outreach and discovery through solution scoping, pricing, contracting, and deal closure.
  • Structure sophisticated enterprise agreements, balancing customer needs, commercial economics, delivery requirements, and long-term business value.
  • Lead complex commercial negotiations, including pricing models, engagement structures, contract terms, and expansion opportunities.
  • Develop strategic account relationships that generate repeat business, long-term partnerships, and broader enterprise adoption.
  • Partner with research and technical leadership to understand capabilities and translate them into differentiated enterprise solutions.
  • Identify and scope technical engagements involving model evaluations, failure analysis, training data, and post-training approaches such as supervised fine-tuning and reinforcement learning.
  • Work with research and technical teams to determine feasibility, resource requirements, timelines, and delivery expectations before committing to customer engagements.
  • Translate customer requirements into clearly defined scopes of work, deliverables, success metrics, and commercially viable engagement structures.
  • Ensure alignment between what is sold commercially and what research and delivery teams can successfully execute.
  • Bring customer feedback, market intelligence, and emerging enterprise needs to research leadership to inform future capabilities and opportunities.
  • Maintain ownership of customer engagements beyond the initial contract, ensuring successful execution and delivery against commercial commitments.
  • Lead the transition from signed agreement to active engagement, coordinating researchers, technical teams, and operational resources.
  • Establish clear accountability for project scope, milestones, deliverables, success criteria, and customer communication.
  • Proactively manage delivery risks, resolve escalations, and ensure customer expectations remain aligned with execution.
  • Monitor engagement performance and commercial outcomes, identifying opportunities to improve delivery models, engagement economics, and customer satisfaction.
  • Turn successful engagements into long-term strategic partnerships, repeat business, case studies, and opportunities for account expansion.

Desired Qualifications

  • Experience building and scaling enterprise go-to-market functions within artificial intelligence, enterprise software, artificial intelligence infrastructure, or technical-services businesses.
  • Experience helping large organizations adopt and implement artificial intelligence at scale.
  • Experience in a Head of Enterprise Sales, Vice President of Go-to-Market, Chief Commercial Officer, or similar leadership role at a high-growth technology company.
  • Experience at enterprise artificial-intelligence companies selling complex, high-value solutions to frontier AI labs, Fortune 500 companies, or sophisticated enterprise customers.
  • Experience leading enterprise artificial-intelligence strategy, deployment, and implementation initiatives at a top management consulting firm, working directly with C-suite stakeholders and translating complex business challenges into technical solutions.
  • Experience in artificial-intelligence infrastructure, technical services, or applied research businesses where commercial leaders own both deal structuring and customer delivery.
  • Experience at early-stage companies personally generating pipeline, closing strategic accounts, establishing commercial processes, and building a sales organization.
  • Experience managing large enterprise contracts, complex implementations, and long-term strategic customer relationships.
  • A record of personally driving revenue, building executive-level relationships, and owning customer outcomes, including through traditional enterprise sales leadership or consulting leadership involving commercial opportunity development and complex artificial-intelligence engagements.

About the Company

AfterQuery

LLM app development platform with observability

AfterQuery provides a data platform for developers to build, evaluate, and monitor LLM-powered applications. It connects to enterprise data sources like Notion, Slack, and databases and prepares data for use in Retrieval-Augmented Generation (RAG). It offers evaluation tools to test models before deployment and observability to monitor performance, costs, and issues such as hallucinations and prompt drift in production. Its end-to-end, data-centric workflow targets production-ready AI solutions for enterprises, backed by YC.

Company size
201-500
Company stage
Series A
Total funding
$30.1M
Headquarters
San Francisco, CA
Founded
2024

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