This job seeks exceptional candidates with a strong technical foundation in machine learning or data infrastructure, motivated to solve complex problems and drive measurable outcomes.
We’re building a fundamentally new approach to machine learning on structured data, and not every impactful role fits neatly into a predefined job description. We’re always interested in connecting with exceptional individuals who bring a strong technical foundation, product intuition, and a bias toward execution.
This section is intended for candidates who have demonstrated the ability to build and ship meaningful systems, drive measurable outcomes, and operate effectively in fast-paced, ambiguous environments. Whether your background is in machine learning, data infrastructure, distributed systems, or technical go-to-market, you’re motivated by solving complex problems and translating them into real-world impact.
If you’re excited about shaping the future of how organizations leverage their data and believe you can contribute at a high level, we encourage you to reach out and share how you would add value to Kumo.
We'll reach out if any of the hiring managers are interested in your background.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Kumo Mountain View, California, USA Office
357 Castro St, Suite 200, Mountain View, CA, United States, 94041
Similar Jobs
Enterprise Web • Fintech • Marketing Tech • Software
Lead high-complexity ERP implementations, providing technical expertise, designing solutions, managing escalations, and mentoring team members while aligning strategies with client objectives.
Top Skills:
Enterprise Resource PlanningErpSaaS
Enterprise Web • Fintech • Marketing Tech • Software
The Senior Talent Acquisition Partner manages full lifecycle recruiting for technical roles, ensuring timely closures while improving processes using AI. They collaborate closely with hiring teams to set clear success profiles and enhance candidate experiences, aiming for high offer acceptance rates.
Top Skills:
Artificial IntelligenceB2B SaasRecruiting Software
Fintech • Mobile • Software • Financial Services
Manage security compliance controls, conduct audits, liaise with stakeholders, monitor cybersecurity policies, and ensure regulatory adherence in a cloud environment.
Top Skills:
AWSCcpaCi/CdCspmDastGdprGrc ToolsIso 27001Iso 38507Iso 42001JIRANist 800-53Nist Ai RmfNist CsfPci DssSastSIEMSoc 2Sox
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine


