Product Manager - Data & Insights

Proudly voted a Great Place to Work®, we are a dynamic startup in the CPaaS (Communication Platform as a Service) space that is revolutionizing the way businesses communicate. Our team is made up of 400+ energetic and passionate Unifones who are dedicated to delivering the best possible experience to 5000+ customer-centric companies.

We pride ourselves on our fun and collaborative work environment, where creativity and new ideas are constantly encouraged. As shareholders in the business, we're so much more than a group of passionate communicators. We are Unifones. Join our team and be a part of something big!

Meet the team!

Our Engineering team is responsible for designing, developing, and maintaining the systems and technologies that drive Unifonic's solutions. We work closely with other departments to ensure our products and services meet the needs of our customers. If you are passionate about technology and are excited about working on cutting-edge communication and engagement solutions, we want you on our team.

As a Product Manager, Data & Insights, you will lead the development of both customer-facing dashboards and internal reporting systems. This role sits at the intersection of product management, data engineering, and analytics, responsible for delivering intuitive, reliable, and scalable reporting experiences for both external users and internal stakeholders.

You will own the end-to-end product lifecycle for reporting capabilities-from customer research and data modeling through to delivery, governance, and continuous improvement. You will partner closely with data engineers, analysts, UX teams, and business stakeholders to build a robust data ecosystem that enables self-service analytics, supports compliance requirements, and delivers meaningful insights for executive decision-making.

You will also champion and lead data compliance initiatives across all Unifonic products, ensuring that data is managed responsibly, securely, and in alignment with organizational…

What you'll bring

• 5+ years of experience in product management, data, analytics, or reporting platforms, with a strong focus on data-driven products.
• Proven experience delivering customer-facing reporting products, dashboards, and internal analytics solutions.
• Strong understanding of data privacy, governance, and compliance frameworks, including GDPR and PDPL.
• Experience working cross-functionally with data engineers, analysts, product teams, UX, and business stakeholders.
• Hands-on experience with data warehouses such as ClickHouse, Vertica, or Snowflake, and BI tools such as Metabase, Tableau, Looker, Power BI, or Sigma.
• Strong SQL skills and a solid understanding of data modeling concepts, including fact and dimension tables and star schemas.
• Familiarity with ELT pipelines, dbt, and data orchestration tools is a plus.
• Understanding of data quality, data integrity, scalability, and performance considerations when building reporting solutions.
• Ability to define business KPIs and translate business and reporting needs into clear data and product requirements.
• Experience contributing to data governance, data integrity, and compliance initiatives.
• Ability to balance performance, usability, scalability, and cost when designing data and reporting solutions.
• Strong communication and stakeholder management skills, with the ability to translate complex data concepts into clear business

requirements

and insights.

• Proven ability to lead cross-functional discussions, align stakeholders around data strategy, and communicate reporting goals and insights effectively.
• Bachelor's degree in Computer Science, Data Science, Business, Engineering, or a related field

AI Proficiency

• Minimum Level:L4 (Proficient). Applies AI across product discovery, specification, prototyping, and stakeholder communication.
• Expected:Uses AI to speed up research, specs, and prototyping, and personally owns the accuracy of every output.
• Hands-on experience with Claude and Lovable. Writes structured prompts (role, context, con…