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Lead the Deal Desk at Fireworks AI, structuring complex deals and optimizing pricing strategies in a high-growth environment.

Location
San Mateo
Compensation
Not disclosed
Level
director
Type
full time

Posted by employer 1 month ago

First seen on Joblaze 1 month ago

Last verified on the company career page 1 hour ago

Skills & Technologies

Requirements

Experience
7+ years
Education
Bachelor's degree

Not disclosed in this posting: compensation, work arrangement, visa sponsorship.

Joblaze summary

The Head of Deal Desk at Fireworks AI is responsible for managing the daily operations of deal structuring, pricing, and approval processes, ensuring that complex deals are executed efficiently. This role requires expertise in consumption-based and subscription pricing models, along with strong analytical skills to assess deal profitability. Ideal candidates have over seven years of experience in revenue or sales operations, particularly in high-growth tech environments, and are adept at cross-functional collaboration. Fireworks AI offers a dynamic setting where innovative deal desk processes can be developed to support its rapid growth.

Joblaze insights

  • Listed about a month ago — first seen on Joblaze August 21, 2026. Last confirmed on Fireworks AI's careers page October 12, 2026.
  • AI/ML appears in 17.2% of 801 comparable director sales/marketing roles.

Quick facts

How much experience is required?
At least 7 years of relevant experience for this Head of Deal Desk role.
What's the tech stack?
Joblaze extracted these technologies from the posting: AI/ML.
What seniority level is this role?
Fireworks AI targets director candidates for this position.
Is this full-time or contract?
Full-time for this Head of Deal Desk role at Fireworks AI.

From the original posting

About the Role

As our Deal Desk Manager, you'll be the commercial backbone of our go-to-market motion — the trusted partner Sales turns to when structuring complex, high-value, and non-standard deals. You'll own deal structuring, pricing guidance, quoting, and the approval process end-to-end, quarterbacking across Sales, Finance, Legal, and Revenue Operations to get deals closed cleanly and quickly. Because Fireworks runs on both reserved and consumption pricing, you'll play a central role in shaping how we structure commits, tiers, and multi-year agreements in a rapidly evolving market. This is a foundational role for someone who wants to build scalable deal desk processes at a hypergrowth AI company.

What You'll Do

  • Run deal desk: Manage the day-to-day operations of deal desk. Review and analyze deals that fall outside standard parameters (pricing, discounting, contract terms), manage the approval workflow, enforce approval thresholds, and drive fast, clear escalations to Finance leadership, Legal, and executive stakeholders.

  • Structure and optimize deals: Partner with Sales to structure complex, non-standard, and strategic deals — including consumption commitments, multi-year contracts, custom pricing, and enterprise terms. Be the go-to partner for account executives and sales managers for deal advisory, structuring deals that meet customer needs but protect Fireworks’ margins

  • Serve as pricing & policy subject matter expert: Set discounting frameworks and commercial policies. Partner closely with Product, Engineering, and Sales to propose new pricing models, SKUs, and packaging motions based on deal desk insights.

  • Build the function: Partner with Revenue Operations team to design a scalable deal desk system. Establish the playbooks, pricing guidelines, approval workflows, and exception-handling procedures.

  • Quarterback cross-functionally: Act as the connective tissue between Sales, Finance, Legal, Revenue Accounting, and Order Management — coordinating deal evaluation, negotiation support, and clean handoff from quote to bookable order.

  • Analyze deal economics: Model deal profitability, discount impact, and margin implications for consumption- and subscription-based structures to inform smart, data-driven deal decisions.

  • Validate bookings: Ensure deals are structured, quoted, and documented for clean booking and accurate revenue recognition, partnering closely with Revenue Accounting.

  • Report on what matters: Track and report on key metrics — deal cycle time, approval turnaround, deal quality/hygiene, discount and margin performance, and booking accuracy — and use them to continuously improve deal velocity.

What We're Looking For

  • 7+ years in Revenue/Sales Operations, Sales Strategy, Finance, or a related analytical role at a high-growth technology company, with 3+ years specifically in Deal Desk

  • Hands-on experience structuring complex packaging quotes, including non-standard terms and custom pricing.

  • Strong understanding of consumption-based / usage-based pricing as well as subscription models — and how to structure commits, tiers, and multi-year agreements around them.

  • Comfortable being both the architect and operator

  • Solid financial modeling and analytical skills, with the ability to assess deal profitability, margin, and discount impact.

  • Excellent cross-functional communication and stakeholder management — you can influence without authority and keep Sales, Finance, and Legal aligned under deadline pressure.

  • Detail-oriented and process-driven, with strong instincts for building structure where none exists.

  • Proficiency with CRM (Salesforce) and CPQ tooling; comfort learning modern GTM/quote-to-order systems.

  • Bachelor's degree, or equivalent practical experience.

Nice to Have

  • Experience at an AI/ML, developer platform, or cloud infrastructure company, and familiarity with how companies buy AI/compute

  • Experience building or scaling a Deal Desk function from scratch at a Series B/C+ hypergrowth company (vs. inheriting a mature one)

  • Experience with modern CPQ platforms (e.g., Nue.io) and contract lifecycle management (CLM) tools.

Who You'll Work With

Sales & Sales Leadership, Finance & FP&A, Legal, Revenue Operations, Revenue Accounting, Order Management/Billing, and Product.

Why Fireworks?

  • Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.

Standard company text repeated across Fireworks AI's postings is omitted here.

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