Principal Product Manager

We're looking for a Principal Product Manager to own the end-to-end strategy for our model deployment and inference platform. You'll work at the intersection of deeply technical ML infrastructure and real customer pain — translating complex system requirements into a product experience that data teams actually love. This is a high-autonomy, high-impact role reporting directly to the VP of Product.

Define and drive the product vision, strategy, and roadmap for our ML deployment and serving layer

Partner closely with engineering, applied ML, and platform teams to ship scalable, reliable features

Conduct deep customer discovery with enterprise ML teams to understand deployment workflows, latency requirements, and monitoring needs

Own prioritization across a complex surface area including model versioning, A/B experimentation, inference optimization, and observability

Represent the product externally with customers, prospects, and analysts — contribute to sales enablement and competitive positioning

Establish and track success metrics (adoption, latency, deployment frequency, NPS) and use data to inform iteration

Mentor and coach other product managers on the team

What We're Looking For

8+ years of product management experience, with at least 3 years focused on developer tools, infrastructure, or ML/AI platforms

Deep familiarity with the ML lifecycle – model training, evaluation, deployment, monitoring, and retraining

Strong technical foundation – you're comfortable reading architecture docs, discussing API design, and engaging with engineers on tradeoffs

Track record of shipping 0→1 products as well as scaling existing products in enterprise B2B environments

Excellent communication skills – you can present a roadmap to a CTO and run a sprint review with engineers in the same day

Experience with competitive and ambiguous markets where customer needs are still emerging

Bachelor's degree required; advanced degree in a technical field is a plus

Experience with usage-based or consumption pricing models

Background in platform or API product management

Familiarity with GPU infrastructure, containerization, and Kubernetes

Prior hands-on experience with ML frameworks (PyTorch, TensorFlow) or ML infrastructure (MLflow, Kubeflow, SageMaker)

Company: Orion Intelligence, Inc. Location: Remote (US) | San Francisco, CA preferred Department: Product Reports to: VP of Product

Base salary: $195,000 – $240,000 (depending on experience and location)

Equity: Meaningful early-stage equity package

Benefits: Full medical/dental/vision, 401(k) match, unlimited PTO, $2,000 annual learning stipend

Perks: Home office budget, quarterly offsites, conference attendance support

Orion Intelligence is building the next generation of enterprise AI infrastructure. Our platform enables data science and engineering teams to train, deploy, and monitor machine learning models at scale. Backed by leading venture firms, we serve Fortune 500 companies across financial services, healthcare, and logistics. We're a team of 180 and growing fast.