Product Manager

Job Title: Product Manager – Content Intelligence Team

Location: India
Department: Product Management
Experience Level: 5+ Years

About the Role
Bluecore is seeking a technically proficient Product Manager with 5+ years of experience to lead our Content Intelligence efforts, powering real-time content personalization, modular campaign logic, and the operationalisation of machine learning across billions of shopper interactions. This role sits at the core of how our system transforms raw data and predictive insights into dynamic, scalable content experiences for marketers.. You’ll work closely with engineering teams focused on recipe rules services, catalog ingestion and serving, recommendation infrastructure, and ML operations, helping retailers deliver intelligent messages with precision and scale.

Why Bluecore
Join a high-impact team shaping the future of digital commerce. At Bluecore, you will play a key role in developing products that redefine how leading brands connect with consumers. This is an opportunity to drive innovation, lead strategic initiatives, and make a tangible impact on the global shopping experience.

Key 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.

Qualifications

• 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.
• Bonus Points:
• 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
  
  

What We Value

• Intellectual curiosity and a bias toward action in solving complex problems.
• Ability to influence without authority and drive cross-functional alignment.
• A balanced product mindset that considers user needs, business goals, and technical constraints.
• End-to-end product ownership and accountability.
• Empathy for users and a passion for delivering meaningful customer experiences.