Engineering Product Manager

Cisco, through its Splunk Data Management team, builds foundational products that help organizations collect, process, govern, and optimize data across hybrid, multi-cloud, and edge environments. The Senior Engineering Product Manager will lead the vision and roadmap for Splunk’s data pipeline-building capabilities, shaping API and UI experiences while coordinating engineering, design, customer success, field, go-to-market, and leadership stakeholders.

Responsibilities:

• Own the vision and roadmap for pipeline-building capabilities that help customers create, iterate, and scale data processing workflows
• Design intuitive experiences for admins, engineers, and technical users across visual pipeline building, reusable templates, stream-time transformations, and intelligent recommendations
• Bring voice of the customer into product decisions, balancing technical depth with clarity, usability, and business impact
• Drive market differentiation by staying ahead of trends in edge compute, data federation, stream processing, AI-assisted workflows, and enterprise data architecture
• Collaborate across Splunk and Cisco, aligning engineering, design, customer success, field, GTM, and leadership stakeholders on roadmap priorities and tradeoffs
• Help shape Splunk’s long-term data federation strategy, influencing how enterprise data is managed across clouds, regions, and environments

Requirements:

• Bachelor's with 8+ years; or Master's degree with 6+ years; or PhD with 3+ years of product management experience. Degree expected to be in Computer Science, Engineering, Data Science, Information Systems, or a related technical field
• 5+ years of delivering technical products in one or more of the following domains: data platforms, cloud infrastructure, SaaS platforms, observability, security analytics, stream processing, data integration, or enterprise data management
• Experience owning product strategy, roadmap, requirements, launch planning, and post-launch iteration for complex technical products used by administrators, developers, platform engineers, security teams, or other technical users
• Experience partnering with engineering and design teams to deliver product capabilities involving APIs, user interfaces, data movement, data transformation, or large-scale distributed systems
• Experience defining product success metrics, using customer feedback and usage data to prioritize roadmap decisions, and measuring adoption, business impact, or customer value after launch
• Experience with data pipeline, stream processing, ETL/ELT, data lake, observability, security, or telemetry products, including technologies such as Kafka, Amazon Kinesis, Apache Spark, Flink, S3, Azure Data Lake, Databricks, Snowflake, or similar platforms
• Familiarity with edge-to-cloud architectures, data routing, filtering, enrichment, federation, compliance-aware storage, or cost optimization use cases
• Product intuition for making powerful technical capabilities approachable through thoughtful workflows, clear abstractions, and well-designed user experiences
• Strong ability to navigate ambiguous 0-to-1 and 1-to-n product areas, create clarity across teams, and turn complex customer problems into pragmatic product direction
• Excellent executive and cross-functional communication skills, including the ability to align engineering, design, GTM, field, customer success, and leadership stakeholders around roadmap tradeoffs
• Strong customer empathy and market judgment, adept at synthesizing customer conversations, competitive trends, field feedback, and technical constraints into differentiated product strategy