PThe Data Engine team powers the core intelligence that drives Bitsight's cyber risk solutions.
As the paradigm of enterprise data management shifts from \"Data for Humans\" to \"Data for Agents,\" we are looking for a Technical Product Manager to sit at the critical intersection of big data infrastructure and agentic tooling.
/ppbr/ppIn this role, you will be tasked with solving the \"data mechanics\" problem, architecting the evolution of our massive data repositories into \"agent-ready\" intelligence layers.
You will ensure that our internet-scale data provides the rich context, semantic precision, and real-time accessibility required for advanced AI agents to perform complex workflows autonomously.
/ppbr/ppThe ideal candidate is a product leader who thrives navigating extreme ambiguity and possesses a \"scale mindset.
\" You can translate probabilistic AI outcomes into concrete business value and are equally comfortable debating data schemas, embeddings, and architecture tradeoffs with engineers as you are shaping commercial strategy.
/ppbr/ppbWhat You'll Do /b /ppAs a Senior Technical Product Manager for the Data Platform, you will have the following responsibilities: /ppbr/pulliDefine and Execute Roadamp: Own the product roadmap for transitioning legacy data architectures into an \"agent-native\" intelligence layer.
Lead the normalization of disparate data sources into standardized data models optimized for LLM querying.
/liliDrive Protocol Standardization: Champion the adoption of standardized communication protocols, such as the Model Context Protocol (MCP), to seamlessly bridge the gap between AI models and enterprise data sources.
/liliEstablish Evaluation Flywheels: Define and obsess over metrics that reflect the probabilistic nature of AI.
Track system performance (e.g., tail latency, throughput), intelligence quality (e.g., Precision, Recall, hallucination rates), and business impact.
/liliBuild the Trust Posture: Implement robust data governance, role-based access controls (RBAC), and observability to ensure autonomous agents operate securely and transparently without compromising enterprise trust.
/liliPartner Cross-Functionally: Collaborate closely with engineering, data science, and UX teams in an agile environment, acting as a credible technical partner to dive into the details of model training, validation, and shipment.
/li /ulpbr/ppbWhat You'll Bring /b /ppbr/pulli4+ years of Technical Product Management experience, with a proven track record of taking zero-to-one products from inception to launch in fast-moving, competitive spaces.
/liliBig Data Cloud Native Infrastructure: Professional experience in big data environments, distributed systems, and cloud-native databases.
/liliAI Fluency: Deep, hands-on understanding of Large Language Models (LLMs), prompt engineering, vector embeddings, and multimodal processing.
You use AI daily to accelerate your own work.
/liliData Modeling Management: Expertise in data governance, data catalogs, and access management.
Strong Python and SQL skills to prototype prompts and analyze product usage data.
/liliProtocol API Design: Experience delivering developer-facing products such as SDKs and APIs, with knowledge of container management (Docker) and orchestration platforms (Kubernetes).
/liliCustomer Empathy Influence: Proven ability to uncover the \"jobs to be done\" by engaging directly with customers across roles: data leaders, scientists, and practitioners, while aligning executive stakeholders on a multi-year vision.
/liliDomain Expertise: Experience in risk management, cybersecurity, or highly regulated data environments is strongly preferred.
/li /ul