Product Manager

Summary

Join Bluecore's high-impact team and lead Content Intelligence efforts, powering real-time content personalization and machine learning across billions of shopper interactions. As a Product Manager, you will own the full product lifecycle for backend systems, prioritize initiatives based on customer value, and define a product vision informed by consumer behavior and technical capabilities. Collaborate with cross-functional teams, act as a subject matter expert in content intelligence, and conduct competitive analysis to drive product innovation. Use data-driven decision-making to iterate on product improvements and define product success metrics. Partner with engineers to design scalable infrastructure and lead product discovery through customer interviews and data insights. This role requires 5+ years of experience in Product Management, preferably in SaaS, e-commerce, or AI-driven personalization.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Business, or a related field, or equivalent practical experience
• 5+ years of experience in Product Management, preferably within SaaS, e-commerce, or AI-driven personalization domains
• Demonstrated ability to work with technical teams, understand system architecture, and translate technical concepts for non-technical audiences
• Proven track record of delivering scalable, user-centric products with measurable business impact
• Strong analytical, problem-solving, and strategic thinking skills
• Excellent communication and collaboration skills with cross-functional teams
• Ability to operate independently in a fast-paced and evolving environment

Responsibilities

• Own the full product lifecycle for backend systems powering content intelligence, including catalog ingestion, personalization logic, and modular rules-based and predictive content delivery
• Prioritize initiatives based on customer value, engineering effort, and strategic alignment, balancing infrastructure needs with user-facing innovation
• Define and articulate a product vision informed by deep understanding of consumer shopping behavior, data usage patterns, and technical capabilities
• Collaborate closely with Engineering, Data Science, Design, Marketing, and Customer Success to ensure successful product delivery and adoption
• Act as a subject matter expert in content intelligence, including real-time personalization, rule orchestration, and model operationalization across marketing campaigns
• Conduct competitive analysis and monitor industry trends to inform product innovation and differentiation
• Use data-driven decision-making and continuous feedback loops to iterate on product improvements
• Define and own product success metrics; use qualitative insights and quantitative data to evaluate impact and guide iteration
• Take ownership of complex problems, drive stakeholder alignment, and lead projects with autonomy and clarity
• Partner with engineers and technical leads to design scalable infrastructure for ingesting, enriching, and activating catalog and behavioral data
• Monitor industry trends across dynamic content personalization, data pipeline optimizations, and ML operations to inform product vision and competitive differentiation
• Partner cross-functionally with Product Marketing, Customer Success, and Sales to synthesize user feedback, advocate for customer needs, and ensure product capabilities align with business outcomes and upsell opportunities
• Lead product discovery through customer interviews, internal feedback loops, and data insights to define clear problems, hypothesis, and product specs

Preferred Qualifications

• Experience working at a B2B SaaS company
• Experience at a high-scale technology startup (we operate at the scale of billions of users)
• Experience in personalization, recommendations systems, or building dynamic content infrastructure in a marketing or commerce platform
• Familiarity with machine learning operations or experience partnering with engineers to deploy, monitor, and tune machine learning models in production
• Experience building internal systems or tools that enable marketers to manage, test, and scale personalization content

Benefits

Remote work, flexible hours