Technical Product Manager

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Blend360

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🤖 Artificial Intelligence

🏢 Enterprise

💰 $100M Private Equity Round on 2022-08

Artificial Intelligence • Enterprise • Consulting

Blend360 is a professional services company specializing in AI, data analytics, and data-driven solutions. They work with Fortune 1000 and large enterprise brands to tackle significant challenges by integrating people and artificial intelligence. Blend360 focuses on several domains including business intelligence, data engineering, data science, MLOps, and data governance. Their industries of expertise encompass financial services, energy, healthcare and life sciences, retail, technology, media & telecom, and travel & hospitality. Blend360 is recognized for their AI and data solutions, having earned accolades such as "AI-Enabling Solution of the Year" and being listed among the "Top Generative AI Service Providers 2024.

📋 Description

• Define, prioritize, and deliver data products that support business objectives and drive measurable value. • Collaborate closely with Data Engineering teams to support the development and evolution of a Databricks-based data lake and associated data platforms. • Translate business needs into clear product requirements, user stories, and delivery roadmaps. • Partner with analytics, data science, and business stakeholders to identify opportunities for new data-driven products and capabilities. • Drive product decisions using data, customer feedback, and business priorities. • Ensure data products are scalable, reliable, and aligned with enterprise data strategy. • Work across cross-functional teams to remove blockers, solve complex challenges, and deliver outcomes. • Define success metrics and monitor product performance after launch. • Promote best practices in data governance, data quality, and product lifecycle management.

🎯 Requirements

• 10+ years of experience in Product Management, Data Product Management, Analytics Product Management, or related fields. • Strong understanding of modern data platforms, data architecture, and data lifecycle concepts. • Experience working with Databricks or similar cloud-based data platforms. • Proven ability to translate complex technical concepts into business value. • Experience partnering with Data Engineering, Analytics, and Data Science teams. • Strong problem-solving skills with a practical, solution-oriented mindset. • Experience in leading cross-functional, highly analytical, and technical teams and enterprise-wide programs, operating and influencing effectively across the organization and within complex contexts. • Experience with advanced analytic techniques, such as factor analysis, predictive modelling, logistic regression, cluster analysis, segmentation, attitudinal/motivational analysis, concept/copy testing, sales forecasting, response prediction, advertising effectiveness, consumer profiling, marketing mix and ROI measurement.

🏖️ Benefits

• 📚 Learning Opportunities: Certifications in AWS (we are AWS Partners), Databricks, and Snowflake. • Access to AI learning paths to stay up to date with the latest technologies. • Study plans, courses, and additional certifications tailored to your role. • Access to Udemy Business, offering thousands of courses to boost your technical and soft skills. • English lessons to support your professional communication. • 👩‍🏫 Mentoring and Development: Career development plans and mentorship programs to help shape your path. • 🎁 Celebrations & Support: Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones. • Company-provided equipment. • ⚖️ Flexible working options to help you strike the right balance.