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Scale AI

Supplies AI training data and builds AI apps

Head of Enterprise GTM Strategy & Operations - Enterprise

Sales OperationsConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 8 years spanning go-to-market strategy and revenue operations, such as strategy consulting, corporate strategy, or investing combined with in-house GTM Strategy, RevOps, or Sales Ops ownership at a high-growth company.
  • Experience managing and developing a team, including other managers or senior functional leads.
  • Ability to frame ambiguous questions, develop an analytical approach, and reach defensible recommendations using incomplete data.
  • Quantitative depth in segmentation, market sizing, unit economics, capacity models, and quota models, with judgment about which analyses can change decisions.
  • A track record of recommendations that were implemented and measured.
  • Experience with complex, multi-stakeholder enterprise sales motions in high-growth B2B SaaS or platform companies.
  • Hands-on ownership of sales systems, forecasting, and enterprise compensation plans at scale.
  • Familiarity with effective sales enablement and how to measure its impact.
  • Executive communication suitable for CRO, CFO, or board audiences, and ability to influence senior sales leaders without direct authority.
  • Strong command of the go-to-market stack, including Salesforce, Clari, and planning and reporting tools, and fluency in SQL or equivalent for independent analysis.
  • Ability to operate strategically and in detail, moving between the two.

Responsibilities

  • Define priority segments, industries, and accounts and build the analytical case for those choices.
  • Build and maintain market-sizing, segmentation, and account-tiering models that drive coverage decisions and investment trade-offs.
  • Lead hypothesis-driven analyses of enterprise funnel win/loss patterns, conversion drivers, deal economics, and coverage gaps, and translate findings into changes to sales execution.
  • Partner with Finance and Product on enterprise pricing, packaging, and deal-structure strategy.
  • Own the route-to-market perspective, including direct versus partner sales, land-and-expand mechanics, and where new capacity or capability is needed.
  • Build the strategic narrative and executive materials for annual planning, board reporting, and major go-to-market investment decisions.
  • Advise Enterprise Sales leaders on account coverage and engagement with an independent, evidence-based perspective.
  • Own and evolve the enterprise go-to-market operating model, including account engagement strategy, funnel design, and sales execution standards.
  • Direct the RevOps systems stack, including CRM, forecasting, reporting, and planning tools, through the RevOps Manager, and maintain data integrity and operational discipline.
  • Define core go-to-market metrics for pipeline health, deal velocity, forecast accuracy, and representative productivity, and provide executive dashboards.
  • Run pipeline reviews, forecast calls, quarterly business reviews, and performance reviews.
  • Set the enablement agenda with the Head of Sales Enablement, including onboarding and ramp, ongoing skill development, and playbooks and certification for consistent field execution.
  • Measure enablement investment by its impact on ramp time, win rate, and deal quality.
  • Partner with Sales Leadership and Finance on enterprise compensation plan design, quota governance, and attainment reporting.
  • Lead annual and quarterly planning, including territory design, capacity modeling, headcount planning, and quota setting.
  • Coordinate enterprise go-to-market planning and execution across Sales, Marketing, Finance, Product, and Solutions Engineering.
  • Lead, develop, and retain an established team spanning sales enablement and revenue operations.
  • Set priorities and standards for a team whose work supports the enterprise sales organization.
  • Grow the function as the enterprise business scales and determine where additional capacity will create the most leverage.

Desired Qualifications

  • Technical curiosity or experience with technical products; familiarity with artificial intelligence, machine learning, or data platforms is a plus.

About the Company

Scale AI

Supplies AI training data and builds AI apps

Scale AI supplies the data that AI labs use to train and test their models, and it builds custom AI applications for companies and government agencies such as the Pentagon. It first made its name labeling camera and sensor data for self-driving car companies like Waymo, then worked with OpenAI on InstructGPT, the 2022 forerunner of ChatGPT. Freelancers, some of them doctors and lawyers, write, label, and grade examples through its Outlier platform, and labs pay Scale for this data and for tests of model quality. Clients pay Scale to build AI tools on their own data, and some of those tools run on classified military networks. Alexandr Wang and Lucy Guo founded Scale AI in 2016, and it is based in San Francisco.

Company size
1,001-5,000
Company stage
Acquired
Total funding
$1.6B
Headquarters
San Francisco, CA
Founded
2016

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