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Factory AIvia Ashby

Business Operations

San Francisco, CAPosted 7mo ago
OtherMid LevelFull-time#ai-lab

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About the Role

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:

- Design and implement scalable processes across GTM, customer success, finance and core operations.

- Create compelling materials for strategic presentations and external partnerships.

- Build and own financial models and business metrics to inform strategic decisions.

- Develop customer success playbooks that drive adoption, activation, and measurable value.

- Lead cross-functional projects across customer success, partnerships, community-building, and more.

- Build dashboards and reporting systems to drive data-informed decisions across the business.

- Partner closely with leadership and technical teams to ensure operational excellence as we scale.


QUALIFICATIONS:

- 3-4 years of experience at a top consulting firm, investment bank, private equity fund, or high-growth startup.

- Exceptional analytical and problem-solving abilities, with strong data analysis and/or financial modeling skills.

- Proven track record of thriving in ambiguous environments and driving results under pressure.

- Outstanding written and verbal communication.

- Ability to break down complex problems and execute structured solutions.

- Experience with or excitement for using the latest AI tooling (including Factory!) to increase efficiency across all functions.

- Experience collaborating closely with technical teams and products.


NICE TO HAVE:

- Experience in AI/ML or enterprise software companies.

- Background in B2B SaaS operations.

- Technical background or basic coding abilities.

- Proven record of scaling operations at early-stage startups.
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