--- title: 'Deal Desk Lead at Factory' canonical: 'https://feeny.ai/job/deal-desk-lead-factory-san-francisco-vthyrn6wh5qk' type: 'job' last_seen: '2026-09-08' --- # Deal Desk Lead at Factory - **Company:** Factory - **Location:** San Francisco, CA - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-08-19 - **Last confirmed live:** 2026-09-08 - **Apply:** https://jobs.ashbyhq.com/factory/0be78b22-dba4-4614-8092-25df75cc73e2 ## Job description ## ABOUT THE ROLE As Deal Desk Lead, you will be a founding member of our GTM Strategy & Operations team where you will own the buildout of our deal operations and deal desk functions from the ground up. You will own all systems, workflows, and day-to-day operations for quoting, pricing, deal terms approvals, custom deal structures, and deal bookings. You will work closely with Sales, Partnerships, Finance, and Legal stakeholders to make sure that the process of structuring, configuring, approving, and booking deals is frictionless and optimized for deal velocity and value maximization. This is a hands-on individual contributor role that has potential to evolve into a people manager role as our GTM scales. This role reports to the Head of GTM Strategy & Operations. This is an in-office role based in our San Francisco headquarters. ## WHAT YOU WILL DO AND ACHIEVE - Design, manage, and consistently improve all quote-to-booking processes and tooling. - Be the primary business and technical owner for the Salesforce Revenue Cloud CPQ instance. - Own the integrity of all bookings data in CRM/CPQ (Opportunities, Opportunity Products, Quotes, Quote Lines, Assets, Subscriptions, etc.). - Review deals for booking readiness, resolve discrepancies, and ensure approved commercial terms are accurately reflected across CRM and CPQ. - Partner with Sales Leadership, Finance, and Legal to establish clear frameworks for pricing, deal terms review, approvals, and contract review. - Guide the Sales team toward deal structures that increase velocity and maximize value. - Find novel ways to use Factory droids to streamline quote-to-booking processes. ## QUALIFICATIONS - 5+ years of experience in Deal Desk, Revenue Operations, Sales Operations, or a related function. - Strong hands-on experience administering Salesforce Revenue Cloud or a comparable CPQ platform. - Deep understanding of quote-to-booking processes, including quoting, pricing, approvals, contracting, and booking. - Strong understanding of SaaS pricing, discounting, commercial terms, and contract structures. - Experience supporting complex and non-standard deals in an enterprise SaaS environment. - A technical mindset and the ability to build, troubleshoot, and improve systems, workflows, automations, and integrations. - Exceptional attention to detail and a willingness to work directly at the record level to identify and resolve discrepancies. - Experience working cross-functionally with Sales, Finance, Legal, Data, and Operations. - Experience designing systems and processes for a rapidly growing company. - Strong AI fluency and a practical instinct for using AI to increase leverage. This is an in-office position (5 days/week) in San Francisco (walking distance to Caltrain) ## About Factory ## Company Overview - **One-liner**: Factory is an AI research lab building autonomous software development agents ("Droids") to automate and optimize the entire software development lifecycle. - **Entity Type**: Private (Series C) - **Headquarters**: San Francisco, California, United States - **Founded**: 2023 - **Founders**: Matan Grinberg (CEO & Co-Founder), Eno Reyes (CTO & Co-Founder) ## Core Business - Primary industry/industries: Artificial Intelligence, Software Development, Autonomous Agents - Target customers: Enterprise engineering organizations (B2B) - Mission or purpose statement: "Bring Autonomy to Software Engineering" ## Products & Services - **[Droid]**: An autonomous software development agent that performs real engineering work across IDEs, CLI, and CI/CD environments. Handles refactors, migrations, debugging, incident response, and feature development in large codebases. Operates through a model-agnostic architecture and supports long-running processes, structured planning, and verified outputs such as PRs and deployments. - **[Factory Router]**: A product that automatically selects the right AI model for each coding task, cutting costs 20-25% while maintaining frontier model performance. ## Market Standing - **Valuation**: $1.5 billion (as of early 2026, per Series C announcement) [cbinsights.com](https://www.cbinsights.com/company/factory-2) - **Total Funding**: $220M [cbinsights.com](https://www.cbinsights.com/company/factory-2) - **Latest Funding Round**: $150M Series C (raised ~2 months ago as of July 2026) [cbinsights.com](https://www.cbinsights.com/company/factory-2) - **Notable Investors**: Sequoia Capital, Lux Capital, NEA, Abstract, MANTIS Venture Capital, 20VC [cbinsights.com](https://www.cbinsights.com/company/factory-2). Board members include AI veteran Lila Tretikov (NEA Partner) [cbinsights.com](https://www.cbinsights.com/company/factory-2). - **Notable Customers**: NVIDIA, Morgan Stanley, EY, Palo Alto Networks, RBC, Revolut, Adobe, MongoDB [cbinsights.com](https://www.cbinsights.com/company/factory-2) - **Notable Advisors**: Ali Ghodsi (CEO & Co-founder, Databricks), Aaron Levie (CEO, Box), Dev Ittycheria (CEO, MongoDB), Nikesh Arora (CEO, Palo Alto Networks), Frank Slootman (Former CEO, Snowflake), Michael Ovitz (Co-founder, CAA) [factory.ai](https://factory.ai/company) - **Growth Signals**: Rapid enterprise adoption moving beyond experimentation; appointed Marcello Gallo as CRO (formerly CRO at Sigma and Moveworks, senior sales leadership at MongoDB) [cbinsights.com](https://www.cbinsights.com/company/factory-2); appointed Madison Faulkner as Head of Strategy [cbinsights.com](https://www.cbinsights.com/company/factory-2); Headcount growing rapidly (+4% monthly on LinkedIn) [linkedin.com](https://www.linkedin.com/company/factory-hq) ## Competitive Advantages - **Model-Agnostic Architecture**: Factory's Droids are not tied to a single AI model, allowing them to use the best model for each task and switch as the landscape evolves. The Factory Router product further optimizes cost and performance by intelligently routing tasks. - **Deep Integration**: Agents work natively within existing developer tools (IDEs, CLI, CI/CD), meaning teams don't need to change their workflows to adopt Factory. - **Enterprise-First Focus**: The company is building for large-scale engineering operations with production-grade reliability, security, and control, as evidenced by their customer list (NVIDIA, Morgan Stanley, etc.). - **Top-Tier Talent & Advisory**: The team hails from companies like Nuro, Glean, Applied Intuition, Scale AI, MongoDB, and Sourcegraph, and is advised by some of the most prominent leaders in enterprise software. - **Strong Backing**: Backed by top-tier venture capital firms (Sequoia, Lux, NEA) with a $1.5B valuation, providing significant resources and credibility. ## Strategic Focus - **Enterprise Hyper-Growth**: Scaling go-to-market with the appointment of a seasoned CRO to drive adoption among large enterprises. - **Agent-Native Development**: Championing the shift from AI-assisted coding to fully autonomous agents that own and execute complex engineering tasks. - **Cost Optimization**: Products like Factory Router demonstrate a focus on making AI-powered development cost-effective at scale. - **Platform Ownership**: Enabling enterprises to own their "software factory" with a flexible, model-agnostic platform. ## Why Work Here - **Mission-Driven**: The opportunity to "Build the tool you've always dreamed of using" and shape the next era of software engineering [factory.ai](https://factory.ai/). - **Talent Density**: The company emphasizes being a "lean and talent-dense team" that values ownership and autonomy [factory.ai](https://factory.ai/). - **On-Site Culture**: Employees work from physical offices five days a week, fostering deep collaboration. Offices are in San Francisco, CA; New York, NY; and London, England [builtin.com](https://builtin.com/company/factory-factoryai). - **Comprehensive Benefits**: Fully covered medical, dental, and vision insurance for employees; 401(k) and Flexible Savings Account; daily catered lunches and dinners; on-site gym; desk setup stipend [factory.ai](https://factory.ai/). - **World-Class Team**: Opportunity to learn from and work alongside engineers from top AI and software companies (Nuro, Glean, Scale AI, MongoDB, etc.) and industry legends on the advisory board [factory.ai](https://factory.ai/company). - **High-Growth Environment**: The company is in a hyper-growth phase with significant funding, a rapidly growing customer base, and a clear market need. ## Sources 1. [factory.ai](https://factory.ai/) 2. [factory.ai/company](https://factory.ai/company) 3. [builtin.com](https://builtin.com/company/factory-factoryai) 4. [cbinsights.com](https://www.cbinsights.com/company/factory-2) 5. [linkedin.com](https://www.linkedin.com/company/factory-hq) ## Other roles at Factory - [Solutions Engineer, Mid-Market, SF](https://feeny.ai/job/solutions-engineer-mid-market-sf-factory-san-francisco-2q7dx528vjyc) — San Francisco, CA - [Solutions Engineer](https://feeny.ai/job/solutions-engineer-factory-san-francisco-f8rsmj549nbv) — San Francisco, CA - [Head of Communications](https://feeny.ai/job/head-of-communications-factory-san-francisco-9gsb6sre00ke) — San Francisco, CA - [Partner Marketing](https://feeny.ai/job/partner-marketing-factory-san-francisco-myt088gk7vkn) — San Francisco, CA - [Events Lead](https://feeny.ai/job/events-lead-factory-san-francisco-ywv61srfsmdf) — San Francisco, CA - [Events](https://feeny.ai/job/events-factory-san-francisco-75rqe6rf09zj) — San Francisco, CA - [Regional Director, Mid-Market, NYC](https://feeny.ai/job/regional-director-mid-market-nyc-factory-san-francisco-esd6q7ysg289) — San Francisco, CA - [Account Executive, Mid-Market, NYC](https://feeny.ai/job/account-executive-mid-market-nyc-factory-new-york-ed2g95wb1yb0) — New York, NY - [Technical Support Engineer - US](https://feeny.ai/job/technical-support-engineer-us-factory-san-francisco-pqm9hjzgy6bn) — San Francisco, CA - [Technical Support Engineer - Remote EMEA](https://feeny.ai/job/technical-support-engineer-remote-emea-factory-london-26r09hg8ad3b) — London, United Kingdom