Senior Product Manager, Platform
Pleasanton · Pleasanton, CA (HQ) · USD 140,000-180,000 / year · 8+ years experience · Remote · Posted Oct 19, 2026
At a glance
- Experience
- 8+ years experience
- Workplace
- Remote
- Location
- Pleasanton · Pleasanton, CA (HQ)
- Salary
- USD 140,000-180,000 / year
About the role
- We are hiring a Senior Product Manager to own the Avathon platform: the layers every one of our applications is built on.
- That includes data ingestion and connectors for IT and OT systems, the ontology and Computational Knowledge Graph, the Model Hub for ML and LLM models, and the agentic AI layer.
- This is a product management role in Product Engineering, not a customer delivery role.
Responsibilities
- Own the vision, roadmap and priorities for ingestion and connectors, ontology and knowledge graph, Model Hub and the agent layer
- Know the market. Understand Palantir Foundry and AIP, C3 AI, Databricks, Cognite and the hyperscaler AI platforms, and be clear on where Avathon wins in industrial settings
- Own connector prioritization across OT protocols (OPC-UA, DNP3, MQTT, historians) and IT systems (SAP, Oracle and others)
- Define the platform contracts that Planning, Logistics, PLM, asset performance and vision applications build on
- Treat application teams, forward deployed engineers and partners as platform customers and understand what slows them down
- Work with customers on ontology discovery and on how their data should be modeled
- Work with security and cloud operations on deployment models: SaaS, customer cloud, on-premise and air-gapped edge
- Track platform adoption and value, such as time to first data, connector reuse and time to deploy a model
- Write clear requirements and acceptance criteria for platform engineering and AI science
- Run sprint planning and release reviews with the engineering lead
Requirements
- 8+ years in product management, with at least 4 years owning a data, ML, developer or platform product
- Deep understanding of data integration, data modeling and ontologies, and ML or LLM operations
- Technical enough to go deep with platform engineers on APIs, data models and architecture
- Strong written communication. You can explain a platform decision to an engineer and to a customer executive
- Bachelor's degree in Computer Science, Engineering or a related field.
Preferred qualifications
- Experience at Palantir, C3 AI, Databricks, Snowflake, Cognite, or a hyperscaler AI or data platform team (Google Cloud, AWS, Microsoft) is a strong plus
- Exposure to industrial data (OT systems, historians, SCADA, ERP) is a strong plus
- MS or MBA is a plus
Workplace
- This role is not remote.
- Candidates must be based in the Bay Area, CA and are expected to report to our Pleasanton office 5 days a week.
Skills
- OPC-UA
- DNP3
- MQTT
- SAP
- Oracle
- APIs