
51 - 200 employees
âď¸ SaaS
đ¤ Artificial Intelligence
đ˘ Enterprise
SaaS ⢠Artificial Intelligence ⢠Enterprise
Factory is an enterprise software platform that provides an "autonomy stack" for engineering teams, positioning itself as the industrial revolution for software development. It offers tools and frameworks (including an open-source component and specialized editions like Factory for Science) to help organizations build, ship, and operate AI-driven or autonomous software workflows at scale. Factory targets enterprise customers with security and compliance features and is marketed to engineering organizations and AI labs.
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51 - 200 employees
âď¸ SaaS
đ¤ Artificial Intelligence
đ˘ Enterprise
SaaS ⢠Artificial Intelligence ⢠Enterprise
Factory is an enterprise software platform that provides an "autonomy stack" for engineering teams, positioning itself as the industrial revolution for software development. It offers tools and frameworks (including an open-source component and specialized editions like Factory for Science) to help organizations build, ship, and operate AI-driven or autonomous software workflows at scale. Factory targets enterprise customers with security and compliance features and is marketed to engineering organizations and AI labs.
⢠Partner with Enterprise, Mid-Market, and BDR leadership to define segment strategy, growth priorities, and execution plans ⢠Translate company goals into segment targets, operating plans, and measurable KPIs ⢠Own segment forecasting, including cadence, call pressure-testing, and quarterly outlooks ⢠Lead analyses covering pipeline health, conversion, capacity planning, segmentation, incentive design, and headcount investment ⢠Build financial and operating models to evaluate trade-offs and quantify GTM decisions ⢠Own territory and account coverage design, quota setting, and related mechanics ⢠Design and run weekly pipeline reviews, forecast calls, and QBRs ⢠Build dashboards and reporting infrastructure for performance, productivity, and pipeline visibility ⢠Establish metrics to identify top performers, diagnose underperformance, and scale successful practices ⢠Improve Salesforce and the surrounding GTM stack for data integrity, workflow efficiency, and reporting ⢠Project-manage cross-functional initiatives across Sales, Marketing, Partnerships, Engineering & Product, Finance, Recruiting, and Operations ⢠Use Factory droids to automate reporting, analysis, and deal support work ⢠Address immediate business problems while building long-term infrastructure and present structured recommendations to senior leadership
⢠4+ years of professional experience, ideally in consulting, investment banking, private equity, corporate strategy, or a high-growth startup ⢠Strong analytical skills and ability to structure analyses quickly, understand underlying data, defend numbers, and form a point of view ⢠Ownership and accountability for outcomes ⢠Ability to deliver high-quality work on tight timelines and in high-stakes moments ⢠Judgment and ability to prioritize high-value business problems ⢠Comfort with ambiguity and change ⢠Process and operational thinking, including documenting and systematizing solutions ⢠Strong written and verbal communication and stakeholder management skills ⢠Practical AI fluency and understanding of AI limitations ⢠Advanced Excel or Sheets proficiency ⢠Experience with Salesforce, SQL, and BI tools is a plus ⢠Experience in Sales, Sales Strategy, Business Operations, or Revenue Operations is a plus
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