Senior Product Manager (Data Visualization) - Technology at Truelogic

Truelogic

LatAm·6h ago

SeniorFull-timeAgileScrumGitAIML

Salary Range

$93,925 - $127,075 /year

Estimated

This salary is estimated based on similar roles. The actual salary may vary.

About the Role

We are seeking a highly motivated Product Manager to drive the strategy, development, and growth of Data Insights & Analytics SaaS tools. This role requires a strong mix of technical expertise, user-centric thinking, and strategic vision to ensure the platform delivers meaningful, actionable insights.

Key Responsibilities

→Define and execute the product vision, strategy, and roadmap based on market trends, customer needs, and business objectives.
→Conduct user interviews, analyze market trends, and gather customer feedback to enhance product capabilities.
→Partner with data scientists and engineers to define and evolve large-scale, customer-facing data models and advanced visualization experiences.
→Partner with engineering, UX/UI, marketing, and sales teams to align product development with business goals.
→Create detailed product requirements, user stories, and acceptance criteria, prioritizing features that drive the most value.
→Ensure seamless onboarding, training, and continuous engagement to drive user adoption and satisfaction.
→Define key performance indicators (KPIs) and continuously optimize the product based on data-driven insights.
→Work closely with legal and security teams to ensure data privacy and compliance with industry regulations.

Requirements

✓8+ years of experience in product management, with a strong focus on data-driven SaaS products.
✓Proven experience product-managing large-scale data visualization platforms.
✓Prior domain experience in media measurement and analytics, geospatial or location-based analytics.
✓Strong understanding of data analytics, visualization paradigms, and cloud-based SaaS platforms.
✓Ability to analyze complex, high-volume datasets and translate insights into clear product strategy.
✓Working knowledge of SQL, APIs, and modern data platforms; exposure to AI/ML-driven analytics is a plus.
✓Excellent communication, problem-solving, and stakeholder management skills.
✓Experience working in Agile/Scrum environments and using product management tools such as Jira and Confluence.