Product Manager, Observability
Define the roadmap for observability and monitoring features across Datadog's platform.
650 roles across 160 companies — filter by region or category.
Showing 50 of 650 matching positions (51–100)
Define the roadmap for observability and monitoring features across Datadog's platform.
Run growth experiments and optimize self-serve funnels across HubSpot's CRM platform.
Deliver insights and dashboards that guide revenue decisions across HubSpot's CRM platform.
Build the APIs and data models that power HubSpot's CRM platform at scale.
Build the React interfaces that drive new customer acquisition for HubSpot's CRM platform.
Plan and execute content programmes that grow HubSpot's brand and pipeline.
Build ML features that power CRM intelligence and automation on HubSpot's platform.
Define the AI features roadmap for HubSpot's CRM and marketing platform.
Design the future of collaborative work tools inside Notion's product workspace.
Run qualitative and quantitative research that shapes product decisions at Notion.
Build and maintain the data infrastructure that powers analytics across Notion's product.
Build the real-time synchronization engine behind Notion's collaborative workspace.
Build AI features that improve writing, search, and organization on Notion's workspace platform.
Investigate intrusions and turn each one into durable detection coverage for Airtable's product suite.
Drive cross-team programmes across Airtable's product suite, keeping dependencies, risk and timelines visible.
Make the build, test and deploy loop fast for everyone working on Airtable's product suite.
Build the API gateway and collaboration infrastructure at Postman.
Partner with engineering teams on threat models and secure defaults throughout Anthropic's AI products.
Build and deploy models that power AI features in Postman's API platform.
Build the data pipelines and dashboards that inform product and growth decisions at Postman.
Run research studies that shape the developer experience on Postman's API platform.
Build tools and run experiments to understand what happens inside large language models.
Design red-teaming and evaluation methodology for the models behind Anthropic's AI products, and turn results into mitigations.
Build the APIs and infrastructure that serve Claude to millions of developers worldwide.
Define the roadmap for Claude's capabilities and user experience across Anthropic's AI products.
Build the training and inference infrastructure that makes Anthropic's model research possible.
Drive cross-team programmes that advance Anthropic's safety and AI product goals.
Research alignment and interpretability techniques that make Anthropic's AI systems safer.
Design and run the multi-region cloud footprint behind Anthropic's AI products, with cost and resilience both in view.
Research techniques that make language models safer and more reliable across OpenAI's products.
Train and evaluate large-scale language models that power OpenAI's products.
Build the APIs and infrastructure that serve OpenAI's models to millions of developers.
Define the developer experience and capabilities of OpenAI's API platform.
Design and run large-scale training experiments, then turn the findings into production model releases.
Review designs and harden services across OpenAI's AI product infrastructure.
Build the data pipelines that support model training and evaluation at OpenAI.
Build the search and retrieval infrastructure behind Perplexity's AI-powered answer engine.
Train and evaluate ranking models that power Perplexity's answer quality.
Run experiments and build models that improve product decisions at Perplexity.
Build the search interfaces and interaction patterns that define Perplexity's user experience.
Build the data pipelines and infrastructure that power analytics on Databricks' unified data platform.
Build and operate the feature store that serves ML models across Databricks' platform.
Own the Kubernetes infrastructure and deployment tooling behind Databricks' data platform.
Guide enterprise customers through architecture decisions for ML workloads on Databricks.
Model warehouse data into tested datasets that power product and business analytics at Databricks.
Review designs and harden services across Databricks' unified data and AI platform.
Build the reinforcement learning from human feedback pipelines that improve model quality at Scale AI.
Build the data pipelines that power Scale AI's human annotation and evaluation platform.
Design and run large-scale training experiments to advance Scale AI's model evaluation capabilities.
Define the roadmap for Scale AI's enterprise data products and customer integrations.
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