Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com.
Job DescriptionWe are seeking a Technical Product Manager that will play a key role in the evolution of a modern data platform and data product ecosystem, working closely with Data Engineering, Analytics, and Data Science teams to build scalable data capabilities on Databricks and deliver data-driven solutions that create business value.
Responsibilities
- 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.
- 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.
Nice to have Qualifications
- Experience within Consumer Packaged Goods (CPG) environments.
- Familiarity with retail, consumer, marketing, sales, or measurement-related data concepts.
- Exposure to machine learning, predictive analytics, or data science workflows.
- Experience working in cloud-based data ecosystems (AWS, Azure, or GCP).
Our 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.
Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.
So what are the next steps?
Our team is eager to learn about you! Send us your resume or LinkedIn profile below and we’ll explore working together!
Skills Required
- 10+ years of experience in Product Management, Data Product Management, or Analytics Product Management
- 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 leading cross-functional, highly analytical, and technical teams and enterprise-wide programs
- Experience with advanced analytic techniques (predictive modeling, logistic regression, clustering, segmentation, forecasting, measurement/ROI)
- Experience within Consumer Packaged Goods (CPG) environments
- Familiarity with retail, consumer, marketing, sales, or measurement-related data concepts
- Exposure to machine learning, predictive analytics, or data science workflows
- Experience working in cloud-based data ecosystems (AWS, Azure, or GCP)
Blend360 Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Blend360 and has not been reviewed or approved by Blend360.
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Fair & Transparent Compensation — Pay is considered fair-to-good by many, and public salary postings for common data roles indicate competitive packages in numerous markets. Feedback suggests overall company sentiment aligns with acceptable compensation relative to peers in consulting and analytics.
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Flexible Benefits — Flexible and remote/hybrid work arrangements are consistently highlighted in official materials and role descriptions. Feedback suggests flexibility is a meaningful part of the total rewards experience.
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Retirement Support — A 401(k) with company match is part of the core package. Feedback suggests retirement offerings are standard and contribute to a complete benefits set.
Blend360 Insights
What We Do
Our Vision is to build a company of world-class people that helps our clients optimize business performance through data, technology and analytics. Blend360 has two divisions: Data Science Solutions: We work at the intersection of data, technology and analytics. Talent Solutions: We live and breathe the digital and talent marketplace.
