Senior Product Manager – Data Pipeline

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Stellar Cyber

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Cybersecurity • Artificial Intelligence • Enterprise

Stellar Cyber is a company that provides an automation-driven security operations platform seamlessly integrating next-generation SIEM, Network Detection and Response (NDR), and Open Extended Detection and Response (XDR). Their platform utilizes advanced AI to quickly detect and correlate cybersecurity threats across various security tools, offering comprehensive threat intelligence and automated incident response to enhance security operations for enterprises, MSSPs, and MSPs. With a focus on reducing security operation costs and improving threat response times, Stellar Cyber helps organizations protect their entire attack surface, including on-premises, cloud, and IT/OT environments.

- employees

🔒 Cybersecurity

🤖 Artificial Intelligence

🏢 Enterprise

💰 $38M Series B on 2021-11

📋 Description

• - Own the vision, roadmap, and execution for our end-to-end data pipeline, aligning them with the company’s overall business objectives. • - Conduct market research, competitive analysis, and directly interact with customers and prospects to identify market needs, trends, and opportunities for product innovation. • - Define and prioritize product features and enhancements based on customer feedback, market analysis, and technical feasibility. • - Define and develop key Autonomous SOC features • - Understand and help shape architectural decisions across ingestion systems, parsing and enrichment layers, and pipeline orchestration. • - Partner with engineering to evaluate trade-offs in reliability, performance, schema design, and extensibility. • - Anticipate edge cases and system bottlenecks across high-volume, heterogeneous data sources. • - Work closely with customers and partners to understand integration requirements, data semantics, and quality expectations. • - Collaborate with internal data consumers to ensure the pipeline delivers high-fidelity, well-structured data sets that enable and enhance their features. • - Serve as the go-to expert for platform data flows and integration ecosystems. • - Clearly define detailed product specs, success metrics, and release plans for features spanning ingestion and processing layers. • - Prioritize roadmap items using data, customer insights, and technical constraints. • - Coordinate cross-functional delivery across engineering, design, data science, and GTM teams.

🎯 Requirements

• - 5+ years of combined experience across Product Management and/or Engineering disciplines. • - Hands-on experience with data platforms, ingestion systems, ETL/ELT pipelines, and/or integration frameworks. • - Strong technical understanding of APIs, schema design, data modeling, distributed systems, and pipeline orchestration. • - Strong understanding of core networking and endpoint telemetry concepts, including the OSI model, packets, common network protocols, and host-level logging tools such as Sysmon and auditd. • - Experience with large-scale data ingestion architectures, connector ecosystems, or developer-facing platforms. • - Familiarity with queueing systems, stream processing, and modern data stack tooling. • - Demonstrated ability to lead complex platform initiatives from concept to launch. • - Excellent communication (oral and written), interpersonal, organizational, and presentation skills.

🏖️ Benefits

• We pride ourselves in recognizing our employees. Here are some examples of our benefits program: • - Pre-IPO Stock Options • - Medical, Dental & Vision care • - 401(k) • - Life Insurance • - Paid time off • - Referral Program • - Rewards and Recognition Program