Factory is bringing autonomy to software engineering. We are actively looking for a Business Operations hire to drive the highest-priority initiatives that support Factory’s next phase of growth. This role sits at the intersection of strategy, finance, operations, marketing, growth, BD and go-to-market. You’ll report directly to bizops leadership and lead cross-functional projects that define how Factory scales. From building financial models to designing scalable processes and playbooks, you’ll be central to shaping our trajectory.
What you will do and achieve
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Design and implement scalable processes across GTM, customer success, finance and core operations.
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Create compelling materials for strategic presentations and external partnerships.
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Build and own financial models and business metrics to inform strategic decisions.
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Develop customer success playbooks that drive adoption, activation, and measurable value.
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Lead cross-functional projects across customer success, partnerships, community-building, and more.
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Build dashboards and reporting systems to drive data-informed decisions across the business.
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Partner closely with leadership and technical teams to ensure operational excellence as we scale.
Qualifications
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3-4 years of experience at a top consulting firm, investment bank, private equity fund, or high-growth startup.
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Exceptional analytical and problem-solving abilities, with strong data analysis and/or financial modeling skills.
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Proven track record of thriving in ambiguous environments and driving results under pressure.
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Outstanding written and verbal communication.
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Ability to break down complex problems and execute structured solutions.
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Experience with or excitement for using the latest AI tooling (including Factory!) to increase efficiency across all functions.
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Experience collaborating closely with technical teams and products.
Nice to have
Nice to have
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Experience in AI/ML or enterprise software companies.
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Background in B2B SaaS operations.
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Technical background or basic coding abilities.
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Proven record of scaling operations at early-stage startups.