Senior Product Manager

The Role
We are seeking a technical, customer-obsessed Product Manager to own the platform operator experience: the end-to-end journey of how customers evaluate, deploy, configure, and operate the platform within Kubernetes and cloud/on-prem environments.

This is not an internal platform PM role. Your primary stakeholders will be platform operators such as AI/ML platform teams, SREs, and DevOps engineers who are responsible for evaluating, deploying, and managing the platform.

Your charter is to ensure the platform feels purpose-built for operators—from the first CLI command, to a production-ready installation, to day-2 operations and observability—while scaling reliably across a growing deployment matrix.

You will work closely with executive leadership and engineering to help shape product direction and will be expected to operate with a high degree of independence. While your primary focus will be the operator experience, you should have the product breadth to contribute across the broader platform as company priorities evolve.

What You’ll Own

You will own the platform interface used by platform operators, including:

• Evaluation & onboarding: local sandbox and quickstart flows, “first successful run” experience, installation prerequisites, and guided setup.

• Distribution & packaging: supported installation surfaces such as Helm charts, configuration models, versioning and upgrade strategy, validation, and release ergonomics.

• Diagnostics & reliability tooling: CLI diagnostics, preflight checks, and logging that reduce time to resolution.

• Operational observability: health and status views for the control plane and runtime path; clear mental models for clusters, namespaces, capacity, and workload placement.

• Supported deployment matrix: defining what environments are supported and ensuring they are reliable and scalable.

• Enterprise customer engagement: working directly with enterprise prospects and customers to run discovery sessions, design partnerships, and feedback loops, translating field insights into product priorities.

• Go-to-market collaboration: partnering with sales, solutions engineering, and customer success to define positioning, packaging, and enablement for the operator experience.

What Success Looks Like

A successful PM in this role drives meaningful improvement across three key areas:

World-class onboarding and operations for platform operators
Platform teams can move from discovery to safe production deployment with minimal friction, clear documentation, and reliable tooling.

Expanded and reliable deployment surface area
The platform supports a broader set of cloud and on-premise environments while reducing one-off custom deployments.

A “paved road” platform experience
Default configurations work out of the box for most teams while still allowing deep customization for large enterprise environments.

What You’ll Bring

Required Qualifications

• 4–5+ years of technical product management experience in developer tools, infrastructure platforms, or deployment/distribution systems with full lifecycle ownership (discovery through adoption).

• Strong understanding of ML/AI orchestration workflows, including data preparation, model training, experiment tracking, and large-scale inference.

• Proven ability to deliver high-quality end-to-end experiences for technical users.

• Strong engineering empathy and the ability to build credibility with senior engineers.

• Data-informed product decision making.

• Ability to influence cross-functional teams and drive alignment without formal authority.

Preferred Qualifications

• Experience shipping infrastructure products deployed into customer environments (cloud or on-prem).

• Software engineering background in infrastructure, platform engineering, SRE, or DevOps.

• Experience designing “paved road” platform defaults with enterprise customization options.

• Experience building diagnostics, onboarding flows, and observability for technical platforms.

• Hands-on experience with ML workflow orchestration tools such as Airflow, Kubeflow, Prefect, Dagster, Ray, or similar.

• Experience working in high-growth startup environments with high autonomy and ownership.