Engineering Product Manager at Cisco | Boulder County, Colorado, United States | Rezi

Engineering Product Manager at Cisco

Engineering Product Manager

Cisco · Boulder County, Colorado, United States

1 weeks ago

Engineering Product Manager

Cisco · Boulder County, Colorado, United States

13 days ago
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About the Role

We are 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.

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.

Skills

  • API
  • UI
  • Data Pipeline Building
  • Data Fabric
  • Edge Compute
  • Data Federation
  • Stream Processing
  • AI-assisted Workflows
  • Enterprise Data Architecture
  • Kafka
  • Amazon Kinesis
  • Apache Spark
  • Flink
  • S3
  • Azure Data Lake
  • Databricks
  • Snowflake
  • Edge-to-cloud architectures
  • Data Routing
  • Data Filtering
  • Data Enrichment
  • Compliance-aware Storage
  • Cost Optimization

Location

  • U.S.
  • Canada
  • New York City Metro Area
  • Non-Metro New York state
  • Washington state

Work Type

  • Full-time

Experience Level

  • Senior
  • 8+ years
  • 6+ years
  • 3+ years

Education Level

  • Bachelor's degree
  • Master's degree
  • PhD

Salary/Compensations

  • $139,200.00 - $201,400.00
  • $171,600.00 - $281,800.00
  • $151,300.00 - $250,900.00

Benefits

  • Medical insurance
  • Dental insurance
  • Vision insurance
  • 401(k) plan with a Cisco matching contribution
  • Paid parental leave
  • Short-term disability coverage
  • Long-term disability coverage
  • Basic life insurance
  • Restricted stock units
  • 10 paid holidays per full calendar year
  • 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
  • 16 days of paid vacation time per full calendar year (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
  • Additional paid time away for critical or emergency issues for family members
  • Optional 10 paid days per full calendar year to volunteer
  • Annual bonuses (non-sales roles)
  • Performance-based incentive pay (sales roles)

About the Company

  • Splunk, a Cisco company, helps the world’s most 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.
  • At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond.
  • We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds.
  • These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
  • Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions.
  • Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless.
  • We work as a team, collaborating with empathy to make really big things happen on a global scale.
  • Because our solutions are everywhere, our impact is everywhere.
  • We are Cisco, and our power starts with you.