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 looking for a Product Manager to join a high-impact data science initiative within the digital advertising and video intelligence industry. In this role, you'll own the data science product roadmap and serve as the bridge between the DS squad and the broader engineering organization, supporting model development, dataset validation, and cross-functional delivery. You'll collaborate with technical and business stakeholders, including Sales and Customer Success teams, to translate high-level business objectives into clear product requirements. This is a strategic and hands-on position, ideal for someone who thrives at the intersection of product, data science, and engineering in a fast-paced, global environment.
What You'll Be Doing
- Own the data science product roadmap, aligning business objectives with model development priorities
- Manage inbound requests from Sales and Customer Success teams, triaging and prioritizing based on business impact
- Translate high-level business goals into product requirements for the DS squad and engineering org
- Oversee model development lifecycle, including dataset validation, model tradeoffs, and cost considerations
- Ensure model quality and robustness before reaching production, identifying issues early in the development cycle
- Define success metrics and scope data science initiatives in collaboration with technical teams
- Drive coordination across teams with a product-first mindset, balancing delivery with strategic thinking
- Act as the central point of contact between the data science squad and the broader engineering organization
5+ years of experience in product or program management, ideally in data focused or technical environments within financial services or a regulated industry
2–4 years of experience managing a data science or similar technical team (Must)
- Deep understanding of data science lifecycles, including how to scope initiatives and define success metrics (Must)
- Proven experience creating quality and robust training data for model development
- Experience working with large-scale datasets (e.g., millions of records in user-generated content environments)
- Ability to identify and mitigate model issues before reaching production
- Strong product mindset with enough project management sensibility to coordinate across distributed teams
- Experience managing inbound requests and aligning cross-functional stakeholders (Sales, Customer Success, Engineering)
Our Perks and 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.
👨🏽💻Travel opportunities to attend industry conferences and meet clients.
👩🏫 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
- 5+ years of experience in product or program management
- 2-4 years of experience managing a data science or similar technical team
- Deep understanding of data science lifecycles
- Proven experience creating quality and robust training data for model development
- Experience working with large-scale datasets
- Ability to identify and mitigate model issues before reaching production
- Strong product mindset with project management sensibility
- Experience managing inbound requests and aligning cross-functional stakeholders
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.
