Engineering Product Manager

Cisco•Houston, TX

17h

About The Position

Splunk, a Cisco company, helps the world’s most complex organizations turn machine data into action. The Data Management team builds the foundational products that help customers collect, process, govern, and optimize data across hybrid, multi-cloud, and edge environments. Our work powers security, observability, AI, compliance, cost optimization, and enterprise analytics use cases at global scale. We help customers make high-volume data usable, trustworthy, and valuable before it reaches the systems and teams that depend on it. We are reimagining data management with automation-first and intelligence-assisted experiences that make sophisticated workflows easier to build, operate , and trust. Joining this team means working on platform capabilities with reach across Splunk, Cisco, and some of the world’s largest enterprises. We’re looking for a Senior Product Manager to lead the next evolution of Splunk’s Data Pipeline Building experience. This is a high-impact role at the heart of Splunk’s transformation into Cisco’s foundational Data Fabric, where you’ll define how customers transform raw data into actionable, well-governed streams from edge to cloud. You’ll shape the API and UI building blocks that help technical users create powerful, scalable, and intuitive pipelines, whether they are filtering noisy telemetry, enriching logs with context, routing sensitive data to compliant storage, or customizing out-of-the-box templates. This role is both a customer-facing product opportunity and an internal platform play for other Splunk and Cisco product teams. Success will require sharp roadmap strategy, clear prioritization, strong stakeholder management, and a passion for solving technical user problems from 0-to-1 and 1-to-n.

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.

Nice To Haves

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.

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.

Benefits

medical, dental and vision insurance
a 401(k) plan with a Cisco matching contribution
paid parental leave
short and long-term disability coverage
basic life insurance
10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees
1 paid day off for employee’s birthday
paid year-end holiday shutdown
4 paid days off for personal wellness determined by Cisco
16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees (non-exempt)
flexible vacation time off program (exempt)
80 hours of sick time off provided on hire date and each January 1st thereafter
up to 80 hours of unused sick time carried forward from one calendar year to the next
Additional paid time away may be requested to deal with critical or emergency issues for family members
Optional 10 paid days per full calendar year to volunteer
annual bonuses
performance-based incentive pay
grants of Cisco restricted stock units