Remote Senior Technical Product Manager

Summary

Join Penn Interactive as a Senior Technical Product Manager on the Core Platform team to centralize third-party data ingestion and establish a single source of truth for sports data. You will work closely with developers, conduct technical market research, and lead product development processes.

Requirements

• 5-8+ years of product management experience in a technical environment
• Background in computer science, business, IT, or related field
• Have working knowledge of various components in a backend system (ie. microservices, databases, messaging system)
• Have working knowledge of platform thinking and methodologies (ie. designing for reuse, abstracting complexity, etc.)
• Comfortable going deep into the inner workings of technology to be able to work with developers to collect and prioritize technical requirements
• Strong stakeholder and project management skills
• Strong communication skills and the ability to effectively communicate complex technical concepts to senior/executive stakeholders
• Must be a team player and self-starter

Responsibilities

• Work closely with business and engineering stakeholders to discover their pain points
• Conduct technical market research to help guide internal decisions on initiatives
• Conduct internal discovery and ideation sessions to validate new ideas
• Work together with engineering and product stakeholders to gain insights and alignment
• Gain a working knowledge of cutting edge technologies and concepts (ie. Kafka)
• Leverage your insights to help shape the Core Platform team’s strategy and roadmap
• Lead the day to day product development process for the Core Platform team
• Gather and refine technical requirements into executable and testable units of work
• Continuously improve kanban methodologies used by the team to accelerate processes
• Prioritize technical backlogs based on engineering and business objectives
• Manage the release process jointly with the Release Management team

Preferred Qualifications

• Experience with Kubernetes, Databases, Kafka or DataDog
• Experience with the data engineering lifecycle, specifically data governance topics such as discoverability, integrity, etc

Benefits

• Competitive compensation package
• Fun, relaxed work environment
• Education and conference reimbursements
• Parental leave top up
• Opportunities for career progression and mentoring others