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Business Operations

Read straight from Factory's careers page, verified 2d ago.Seekless can tailor your résumé to it.
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Before you apply
SalaryNo pay range posted
LocationSan Francisco, CA
Work modeon-site
Typefull-time
SeniorityMid
Experience3–4 yrs
DepartmentOperations
Company size201–500 people
PostedOct 2, 2025 · 1y ago
Verified live2d ago
California law requires most employers to post a pay range.
May no longer be actively hiring
Posted by the company on Oct 2, 202542% of this company's open roles have been listed for 90+ daysNo pay range listed, though California requires one
How we check a job is still live
At a glanceSummarised by Seekless from the posting.
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
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
About Factory
Our mission is to create a world where software builds and improves itself.
We build the platform for self-improving software development, helping the world’s largest enterprise engineering teams turn their organizations into autonomous software factories. Customers including Nvidia, Blackstone, Royal Bank of Canada (RBC), Palo Alto Networks, Adobe, and T-Mobile run Factory to ship code, review PRs, run tests, and deploy continuously - getting smarter with every cycle.
In 2026, we raised $200M at a $5B valuation, bringing our total funding to over $400M. We are backed by world-class investors and operators including Khosla Ventures, Sequoia, Blackstone, Ali Ghodsi (CEO of Databricks), and Frank Slootman (Former CEO of Snowflake).
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
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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.
•
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
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.