Kumo Job Openings

Kumo is hiring for multiple roles across AI engineering, infrastructure, and business leadership.
Below are the positions associated with the Arizona event.

1. AI Engineer - Relational Foundation Models & Agentic Systems (Mountain View, CA or Raleigh, NC) - Hybrid

We’re hiring an AI/ML Engineer to design and build AI-powered, user-facing products on top of our RFM. You’ll ship features that:

• Understand a user’s goal and autonomously propose workflows for analysis, prediction, and optimization.
• Interact with enterprise systems and APIs, orchestrating tools and data.
• Produce interpretable outputs that are easy to trust in real-world decisions.
• Demo prototypes and apps to customers, iterating on feedback and incorporating real use cases.
• You’ll work across product surfaces (UI/API), agent orchestration, data/infra, and model integration, collaborating tightly with product, design, ML research, and customers.

What You’ll Do

• Design, implement, and deploy AI agents that assist data scientists on relational/SQL data and recommend next-best actions.
• Build user-centric APIs and product surfaces (web/UI or programmatic) that make agentic workflows feel seamless and reliable.
• Integrate Kumo’s Relational Foundation Model with enterprise data systems; contribute to tooling, retrieval, and guardrails.
• Develop adaptive, multi-step workflows (LLM orchestration, tool use, feedback loops) that continuously refine outputs.
• Ensure interpretability and evaluation: traceability of steps, confidence scoring, and human-in-the-loop review.
• Collaborate with PM/design/ML research to turn ambiguous problems into shippable product; instrument, measure, iterate.
• Demo your work to customers and community, serving as a visible builder and advocate for Kumo RFM.
• Optimize for latency, cost, and reliability in production environments (serving, caching, tracing, observability).

Minimum Qualifications

• 1+ years in ML/AI product development or software engineering (startup or fast-paced product teams).
• Hands-on with embeddings, vector databases, and RAG; practical experience evaluating retrieval quality.
• Strong background in deep learning/transformers/foundation models and LLM orchestration (tool use, planning, memory).
• Experience with relational data & SQL; structured reasoning on business datasets.
• Proficiency in Python and familiarity with data wrangling (Pandas, NumPy).
• Strong product sense and collaboration skills—comfortable working with PMs/design and iterating with users.

2. Software Engineer - Cloud Infrastructure (Mountain View, CA) - Hybrid

What You’ll Do

• Design, build, and evolve Kumo’s multi-tenant infrastructure to support massive AI and data workloads across AWS, Azure, and GCP.
• Implement and maintain infrastructure-as-code to automate training and deployment pipelines across many environments.
• Operate and scale Kubernetes clusters with a focus on reliability, performance, availability, tenant isolation, and cost efficiency.
• Build observability and alerting into distributed systems using Prometheus, Grafana, OpenTelemetry, and related tooling.
• Partner closely with ML researchers and product teams to deliver production-grade infrastructure for advanced AI workloads.
• Drive security and operational best-practices (RBAC, tenant isolation, cloud identity, etc.) across our platform.

What You Bring

• 3–5 years building or operating cloud-native infrastructure in production.
• Hands-on experience with at least one major cloud (AWS / Azure / GCP); multi-cloud exposure is a plus.
• Operational experience with Kubernetes and production-grade clusters.
• Proficiency with Infrastructure-as-Code (Terraform, Pulumi, etc.) and familiarity with GitOps tooling (ArgoCD, Flux, Argo Workflows).
• Strong debugging, systems-thinking, and communication skills — you can drive technical decisions and explain trade-offs to multiple stakeholders.

3. Software Engineer - Infrastructure (Mountain View, CA) - Hybrid

Impact You’ll Make:

• Design and implement the core architecture of our distributed training and inference systems that can handle enterprise-scale data.
• Craft elegant integration points between data warehouses, ML processing engines, and our proprietary Graph Neural Network technology.
• Build sophisticated orchestration systems that optimize computational resources while ensuring reliability and restartability.
• Develop clean APIs and abstractions that decouple system components for rapid parallel development.
• Create scalable, cloud-native infrastructure that grows with our customers’ needs while maintaining performance.
• Collaborate directly with customers to refine and iterate on real-world deployments.

What You Bring:

• Strong foundation in computer science (BS required, MS/PhD preferred) with 5+ years of software development experience.
• Deep understanding of distributed systems design principles.
• Proficiency in languages like Python, Java or C++.
• Problem-solving mindset with ability to tackle novel challenges in uncharted territory.

What Sets You Apart:

• Experience with cloud distributed storage, databases, and file systems (AWS, Azure).
• Track record building and scaling microservices architectures.
• Knowledge of ML frameworks like PyTorch or TensorFlow, especially inference serving at scale.
• Contributions to open-source projects in distributed systems or data processing.
• Understanding of ML fundamentals, especially in enterprise applications.
• Experience designing systems that elegantly handle failure modes and restarts.

4. Software Engineer Lead - Cloud Infrastructure (Mountain View, CA) - Hybrid

What You’ll Own

• Set the technical vision and roadmap for Kumo’s multi-tenant infrastructure across AWS, Azure, and GCP, balancing scalability, reliability, cost, and security.
• Lead architecture and design for critical systems: Kubernetes-based multi-tenancy, real-time inference clusters, training pipelines, and CI/CD for large ML workloads.
• Hands-on implementation: build and evolve IaC, GitOps flows, cluster autoscaling, and automation that reduce toil and accelerate developer productivity.
• Define and drive SLOs, SLIs, and capacity planning; lead incident response, postmortems, and systemic remediation.
• Own cost optimization at scale — from resource scheduling to spot/commit strategies and cross-cloud lifecycle management.
• Mentor and grow engineers: set standards for architecture reviews, design docs, code quality, and operational excellence.
• Hire and help scale the team — participate in recruiting, interviewing, and onboarding top-tier infrastructure talent.

What You Bring

• 5-8+ years building and operating production cloud-native infrastructure; proven track record leading infrastructure initiatives end-to-end.
• Deep, practical experience with Kubernetes at scale (multi-tenant environments, cluster federation, or large fleet operations).
• Strong multi-cloud operational experience (designing and running services across AWS/Azure/GCP) and cloud cost management.
• Demonstrated systems design skills for distributed systems, making architectural trade-offs and comfortable shipping code in a high-velocity environment (Python, Go, or similar) and reviewing complex PRs.
• Proficiency in Go, Python, Rust or similar languages for automation tooling.
• Excellent communicator: able to influence across engineering, ML science, product, and leadership — and to write clear design docs and trade-off analyses.

5. Opportunistic Hire - (Mountain View, CA)

Don’t see a role that fits your background? We’re constantly on the lookout for talented individuals to join our dynamic team. If you’re driven, innovative, and ready to be part of something extraordinary, we want to hear from you!

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.

6. Account Executive - (Northern, CA or Northeast, NY) - Hybrid/Remote

Key Responsibilities

• Sales Prospecting & Lead Generation: Proactively identify, qualify, and engage new business prospects through a combination of cold calling, email outreach, social selling, and networking.
• Sales Cycle Management: Own and manage the entire sales cycle from initial contact to closing, including product demonstrations, proposal development, and contract negotiation.
• Relationship Building: Develop strong, trusted relationships with key stakeholders and decision-makers at client organizations, serving as their primary point of contact for Kumo’s solutions.
• Product Knowledge & Consultation: Deeply understand Kumo’s AI and data platform offerings and be able to communicate their value to prospects in a clear, consultative manner. Tailor your pitch to address the unique needs and challenges of each client.
• Collaboration & Pipeline Management: Work closely with the sales, marketing, and customer success teams to ensure smooth handoffs and alignment throughout the customer journey. Maintain accurate records of your sales pipeline in Salesforce.
• Reporting & Metrics: Regularly report on sales activities and progress to management, providing insights on pipeline health and forecasting. Achieve or exceed monthly and quarterly sales targets.
• Customer Success & Retention: While focused on new business, collaborate with customer success teams to ensure a seamless post-sale experience and identify opportunities for upselling or expansion.
• Market Intelligence: Stay current on industry trends, competitor offerings, and customer needs to effectively position Kumo’s solutions in the market.

Basic Qualifications: Must Haves

• Must reside in Northern California, and be able to work from our Mountain View, CA office 3 days a week: Monday, Wednesday, Friday.
• 5+ years of proven success in sales, with a strong track record of meeting or exceeding quotas, ideally within SaaS, AI, or data-related technologies.
• Demonstrated ability to build and manage relationships with high-level decision-makers in enterprise organizations.
• Strong communication skills, both verbal and written, with the ability to influence and persuade.
• Strong organizational and time-management skills with the ability to handle multiple opportunities simultaneously.
• Flexibility to work across multiple U.S. time zones and a collaborative approach to working with remote teams.
• Familiarity with CRM tools and sales engagement tools.

7. Chief of Staff - (Mountain View, CA) - Hybrid

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.