Scale AI

Enterprise Deal Desk & Pricing Analyst

Scale AI$104K — $130K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years in finance, deal desk, sales operations, management consulting, or a high-growth startup
  • Strong analytical skills; good with both qualitative and quantitative data
  • Proven ability to drive outcomes and build process across teams
  • Effective relationship builder at various seniority levels
  • Interest in sales, deals, and commercial transactions
  • Excellent attention to detail in financial modeling
  • Proficient in Google Suite, MS Office, Salesforce.

Responsibilities

  • Manages daily calculations for enterprise deal pricing including ROI modeling
  • Ensures consistent application of pricing frameworks across various deal types
  • Collaborates with the Deal Desk Manager to design custom deal structures
  • Maintains a pricing dashboard for tracking deal health and trends
  • Identifies and proposes solutions to bottlenecks in the deal approval process
  • Owns the deal crafting process from pricing through to contract review
  • Support Sales and Finance leadership in strategy, forecasts, and new initiatives.

Benefits

  • Comprehensive health, dental, and vision coverage
  • Retirement benefits
  • Learning and development stipend
  • Generous PTO
  • Potential commuter stipend.
Full Job Description
Owns day-to-day deal pricing execution for Enterprise, including pricing calculations, staffing inputs, and dashboard reporting that gives Sales and Deal Desk leadership visibility into deal status, pricing, and margin. Partners with the Deal Desk Manager on customer deal structuring and on identifying ways to accelerate the deal approval process.

What You'll DoDeal Pricing Execution
  • Manages day-to-day deal pricing calculations for Enterprise deals, including ROI modeling and EPD staffing inputs
  • Applies existing pricing frameworks consistently across Land, Expansion, and Framework deals
  • Partners with the Deal Desk Manager to design customer-specific deal structures for non-standard or complex deals

Pricing & Deal Status Reporting
  • Builds and maintains a pricing dashboard tracking deal status, pricing, margin, and overall deal health across the Enterprise pipeline
  • Updates pricing and trend reporting to keep leadership current on where deals stand and how pricing is trending against targets

Process Optimization
  • Identifies bottlenecks in the deal review & approval process and proposes ways to accelerate cycle time
  • Helps standardize and streamline recurring pricing/approval steps into repeatable, lower-friction workflows
  • Tracks deal approval cycle time and surfaces trends to inform process improvements

Cross-Functional Deal Coordination
  • Owns deal crafting end-to-end from initial pricing/modeling through contract review, coordinating with sales management, reps, and internal stakeholders
  • Ensures the relevant stakeholders (Accounting, Finance, EPD, Legal) review and approve deals at the appropriate stage before they progress
  • Routes deal packages to the correct reviewers and tracks open items so deals aren't stalled waiting on sign-off

Strategic & GTM Support
  • Tackles ambiguous, open-ended questions around Scale's go-to-market motion and iterates quickly on solutions that deliver measurable results
  • Supports Sales and Finance leadership in quarterly strategy and planning, including forecasting and P&L analysis
  • Helps scope and execute new initiatives around pricing strategy, deal modeling, proposal creation, and value engineering


Qualifications
  • 3+ years in finance, deal desk, sales operations, management consulting, or a high-growth startup
  • A penchant for digging deep into data, thinking from first principles, and exercising sound judgment in the face of ambiguity
  • A strong orientation toward driving outcomes, with experience building process and aligning cross-functional stakeholders to deliver results
  • Ability to work and build effective relationships across functions and seniority levels
  • A keen interest in sales, deals, and commercial transactions
  • Excellent qualitative and quantitative analytical skills
  • Strong knowledge of Google Suite and MS Office; Salesforce
  • Strong financial modeling skills with high attention to detail

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


Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:

$104,000-$130,000 USD

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Scale AI

Scale AI is an artificial intelligence company that provides data annotation services to improve machine learning algorithms. The company's platform offers a range of services including image annotation, text annotation, and 3D annotation. Scale AI was founded in 2016 and is headquartered in San Francisco, California.
Learn more about Scale AI
Size
500 employees
Industry
Founded
2017

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