Engineering Product Management Specialist
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## Responsibilities
- Customer Intelligence & Adoption
- Identify the accounts, stakeholders, champions, and decision-makers most likely to drive successful adoption of Cisco Spaces by leveraging internal and external data sources.
- Develop a deep understanding of customer personas (from both IT and business teams), buying centers, industry use cases, and adoption patterns across key segments.
- Partner with Product Marketing team to continuously refine Ideal Customer Profiles (ICPs), persona frameworks, and targeting strategies based on customer behaviour, product usage, and business outcomes.
- Support the PLG-Lifecycle team to drive targeted customer engagement and adoption programs.
- AI, Automation & Scale
- Leverage AI, automation, and modern data tools to improve research, segmentation, and targeting.
- Design scalable workflows that reduce manual effort and enable the team to operate with speed and efficiency.
- Continuously challenge existing processes & experiment with emerging technologies and new ways of working to improve customer intelligence and adoption outcomes.
- Analytics & Insights
- Analyze customer and product data to uncover trends, opportunities, risks, and barriers to adoption.
- Build dashboards, reports, and data visualizations that help stakeholders make informed decisions.
- Translate complex data into clear, actionable insights that influence product adoption.
- Work with the Product Ops and Business Intelligence team to ensure accurate collection of data and troubleshoot any data abnormalities.
## Requirements
- Bachelor's/Master's degree in Engineering, Computer Science, Analytics, Marketing, or a related field.
- 1-4 years of experience in automation, analytics, market research, or customer intelligence.
- Experience working in a B2B SaaS or enterprise tech.
- Proficiency in Excel and familiarity with SQL for data exploration and analysis.
- Excellent verbal and written communication skills, with the ability to clearly communicate insights to both technical and non-technical audiences.
- Exposure to data visualization tools such as Tableau, Power BI, Looker, or similar platforms.
- Experience using AI tools to improve research, analysis, automation, or productivity.
- Familiarity with tools such as Salesforce, ZoomInfo, Apollo, Clay, Pendo, Hubspot, Amplitude, Mixpanel, or similar platforms.
- Strong knowledge of statistics, experimentation, segmentation, or customer analytics.
- Experience with Python, data automation, or workflow automation tools.
- Demonstrated curiosity through side projects, certifications, open-source contributions, or experimentation with emerging technologies.
## Nice to Have
- None specified.
## Benefits
- Work alongside a cognitively diverse team of product managers and adoption specialists.
- Opportunity to influence product and adoption strategy.
- Front-row seat to how product-led growth works inside one of Cisco's fastest-growing product lines.
- Real ownership early in the role.
- Support from people who care deeply about your growth and want to see you succeed.
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