ABOUT US

TyrAds, a leading tech-driven loyalty and rewards platform that collaborates with various businesses to cultivate rewarding experiences for their customers. With millions of users across our platforms, we specialize in innovative AdTech solutions powered by big data, machine learning, and deep learning technologies. We empower companies to engage and retain their customers through personalized advertising, loyalty programs, and outstanding customer service.
Our technology infrastructure processes over 10,000 events per second, delivering real-time insights at scale. We build seamless user experiences across web, Android, and iOS platforms and leverage Machine Learning, Deep Learning, and AI technologies to power our offerings.
We’re a growing team of approximately 70 employees (having tripled in size last year) united by our core values of transparency, learning from mistakes, ownership of our work, and respect for diverse cultures. We operate using Agile and Scrum methodologies with continuous integration/continuous deployment practices, releasing new features weekly. Our team collaborates primarily through GitHub, Jira, and Slack.

REQUIRED SKILLS

• 3+ years of experience as a Product Manager working on data-focused or ML/AI products.
• Strong understanding of data engineering, analytics pipelines, and machine learning workflows.
• Experience working with data scientists and ML engineers to take models from prototype to production.
• Ability to write clear, technical product specs and translate it in laymen business languages.
• Familiarity with modern data stack (e.g., Airflow, dbt, Snowflake, AWS, or similar).
• Excellent communication and prioritization skills — able to manage stakeholders and keep the team focused on values.

WHAT YOU’LL DO

As a Data Product Manager to lead and scale our data product capabilities. This role will own the roadmap, execution, and cross-functional alignment for our data initiatives, working closely with Data Engineer, Data Scientists, Data Analysts, and Data Ops, to fulfill a lot of our goals and collaborations with data stakeholders.

YOUR RESPONSIBILITIES

• Drive the vision and roadmap for data products and platforms, in close collaboration with Data Engineer, Data Scientists, Data Analysts, and Data Ops.
• Manage the data team’s implementation pipeline, ensuring high value delivery of features and infrastructure.
• Act as the bridge between business needs and data capabilities — defining product requirements that unlock insights, automation, and quality.
• Oversee deployment and lifecycle of ML models, including model validation, monitoring, and retraining workflows.
• Lead experimentation and data science initiatives, ensuring algorithm development aligns with product goals.
• Advocate for data quality, governance, and accessibility across the organization.