Chief of Staff

Reposted 6 Days Ago
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Mountain View, CA
Hybrid
140K-200K Annually
Senior level
Artificial Intelligence • Cloud • Machine Learning • Software • Database
The Role
The Chief of Staff will partner with the CEO, drive strategic planning, lead operational initiatives, and ensure effective scaling of Kumo during its growth phase.
Summary Generated by Built In
About Kumo.ai

Kumo is building a next-generation AI platform that empowers organizations to make predictive decisions faster—without the overhead of traditional ML pipelines. Backed by Sequoia and led by ex-Airbnb, Pinterest, and LinkedIn leaders, we’re scaling rapidly and looking for passionate leaders to help us shape the future of enterprise AI.

At Kumo, you’ll:
- Work alongside world-class engineers & scientists (ex-Airbnb, Pinterest, LinkedIn, Stanford).
- Be a foundational voice in designing a platform powering enterprise-scale AI.
- Join a Series B company with competitive compensation (salary + meaningful equity).

About the Role

As Chief of Staff, you will be a trusted strategic partner to the CEO and leadership team. You’ll combine your technical background in Computer Science with the strategic and business acumen from your MBA to drive operational excellence, lead cross-functional initiatives, and ensure we scale effectively during this critical growth stage.

This is a highly visible role where you’ll influence both technical strategy and business execution, helping align product, infrastructure, and go-to-market efforts.

Key Responsibilities

Strategic Partner to the CEO
- Drive company-level strategic planning, OKRs, and execution frameworks.
- Provide data-driven insights to guide executive decision-making.
- Act as a thought partner on technical and business trade-offs in a fast-moving AI platform company.

Operational Leadership
- Build and optimize the operating cadence of the company (exec staff meetings, board meetings, all-hands, investor reporting).
- Lead special projects that span technical, product, and go-to-market functions.
- Identify operational bottlenecks and implement scalable processes as we grow.

Technical Insight & Translation
- Leverage your CS background to evaluate technical initiatives and connect them to business outcomes.
- Translate complex technical concepts into business terms for investors, partners, and customers.

Cross-Functional Alignment
- Ensure communication and alignment across engineering, product, GTM, and operations.
- Manage strategic partnerships and support fundraising, investor relations, and customer-facing engagements.

Qualifications

  • Bachelor’s degree in Computer Science (or related technical discipline).
  • MBA from a top-tier program.
  • 6–10+ years of experience in consulting, investment banking, product management, or strategy/ops roles at a high-growth tech company.
  • Experience working closely with executives and/or boards, ideally in SaaS, cloud, or AI/ML-focused companies.
  • Proven track record of driving strategic projects end-to-end.
  • Strong technical fluency.
  • Exceptional problem-solving, analytical, and structured thinking.
  • Executive presence with excellent communication and storytelling skills.
  • Ability to thrive in ambiguity, prioritize ruthlessly, and get things done.

Why Join Kumo.ai?

This is one of our most critical hires. As Chief of Staff, you’ll directly shape how we scale, partner with a world-class leadership team, and have a front-row seat in building the AI platform that enterprises will depend on for the next decade.

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.

Top Skills

AI
Cloud
Computer Science
Ml
SaaS
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The Company
HQ: Mountain View, CA
38 Employees
Year Founded: 2021

What We Do

Democratizing AI on the Modern Data Stack!

The team behind PyG (PyG.org) is working on a turn-key solution for AI over large scale data warehouses. We believe the future of ML is a seamless integration between modern cloud data warehouses and AI algorithms. Our ML infrastructure massively simplifies the training and deployment of ML models on complex data.

With over 40,000 monthly downloads and nearly 13,000 Github stars, PyG is the ultimate platform for training and development of Graph Neural Network (GNN) architectures. GNNs -- one of the hottest areas of machine learning now -- are a class of deep learning models that generalize Transformer and CNN architectures and enable us to apply the power of deep learning to complex data. GNNs are unique in a sense that they can be applied to data of different shapes and modalities.

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