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Scale AI

Supplies AI training data and builds AI apps

Enterprise Pricing Manager

Sales OperationsUpdated on Nov 13
Full-timeIn-person

About the Job

Requirements

  • At least 5 years of experience in finance, deal desk, sales operations, management consulting, or a high-growth startup.
  • Strong knowledge of Google Suite, Microsoft Office, and Salesforce.
  • Strong financial modeling skills with high attention to detail.
  • Strong qualitative and quantitative analytical skills.
  • Ability to build processes and align cross-functional stakeholders to deliver results.
  • Ability to work effectively across functions and seniority levels.

Responsibilities

  • Manage day-to-day deal pricing and design customer-specific deal structures for non-standard or complex deals.
  • Apply existing pricing frameworks consistently across Land, Expansion, and Framework deals.
  • Build and maintain a pricing dashboard tracking deal status, pricing, and overall deal health across the Enterprise pipeline.
  • Update pricing and trend reporting to keep leadership current on deal status and pricing trends against targets.
  • Identify bottlenecks in the deal review and approval process and propose ways to accelerate cycle time.
  • Standardize and streamline recurring pricing and approval steps into repeatable workflows.
  • Track deal approval cycle time and surface trends to inform process improvements.
  • Own deal crafting end-to-end from initial pricing and modeling through contract review, coordinating with sales management, representatives, and internal stakeholders.
  • Ensure Accounting, Finance, EPD, and Legal stakeholders review and approve deals at the appropriate stage.
  • Route deal packages to the correct reviewers and track open items to prevent deals from stalling while awaiting sign-off.
  • Address ambiguous questions about the go-to-market motion and iterate on solutions that deliver measurable results.
  • Support Sales and Finance leadership in quarterly strategy and planning, including forecasting and profit-and-loss analysis.
  • Help scope and execute initiatives around pricing strategy, deal modeling, proposal creation, and value engineering.

Desired Qualifications

  • Experience with B2B sales organizations and the ability to understand and navigate complex enterprise sales cycles.
  • Familiarity with Tableau and SQL.

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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