Were seeking an experienced Technical Product Manager to lead the development of data-driven solutions that support our organizations strategic goals. In this role, youll work cross-functionally with Data Science, Engineering, and Business teams to turn complex data insights into impactful tools that improve decision-making and operations. We'd love to connect with you if you're passionate about innovation and skilled at bridging technical concepts with business stratagy.
Responsibilities
Product Vision & Strategy:
Develop and drive a clear product vision for our data platform that aligns with company objectives and supports the diverse needs of teams across the organization, delivering scalable solutions and measurable impact.
Cross-Functional Collaboration:
Partner with Data Science, Engineering, and Business teams to design and build products that leverage big data and machine learning, tackling complex challenges and improving operational efficiency.
Requirements Gathering & Analysis:
Lead efforts to collect, analyze, and document requirements, ensuring that solutions are aligned with strategic objectives and informed by real-time data insights.
Lifecycle Management:
Oversee the complete product lifecyclefrom initial discovery to launchmanaging timelines, resources, and deliverables to ensure projects are completed on schedule and within scope.
Performance Optimization:
Track and evaluate product performance using key metrics, leveraging data-driven insights to refine processes and drive continuous improvement.
User Engagement:
Engage with internal end users to gather feedback, understand their evolving needs, and ensure high levels of satisfaction and adoption.
Stakeholder Communication:
Maintain clear and effective communication with all stakeholders, providing regular updates on progress, addressing challenges, and celebrating achievements throughout the product lifecycle.
Responsibilities
Product Vision & Strategy:
Develop and drive a clear product vision for our data platform that aligns with company objectives and supports the diverse needs of teams across the organization, delivering scalable solutions and measurable impact.
Cross-Functional Collaboration:
Partner with Data Science, Engineering, and Business teams to design and build products that leverage big data and machine learning, tackling complex challenges and improving operational efficiency.
Requirements Gathering & Analysis:
Lead efforts to collect, analyze, and document requirements, ensuring that solutions are aligned with strategic objectives and informed by real-time data insights.
Lifecycle Management:
Oversee the complete product lifecyclefrom initial discovery to launchmanaging timelines, resources, and deliverables to ensure projects are completed on schedule and within scope.
Performance Optimization:
Track and evaluate product performance using key metrics, leveraging data-driven insights to refine processes and drive continuous improvement.
User Engagement:
Engage with internal end users to gather feedback, understand their evolving needs, and ensure high levels of satisfaction and adoption.
Stakeholder Communication:
Maintain clear and effective communication with all stakeholders, providing regular updates on progress, addressing challenges, and celebrating achievements throughout the product lifecycle.
Requirements:
Technical Background:
Minimum of 5 years experience in a technical role: Full-Stack Developer / Front-End Developer / Data Engineer.
Product Management Experience:
At least 3 years of proven experience managing the full product lifecycle from conception through execution.
Methodological Rigor:
Familiarity with Agile methodologies and a strong commitment to a data-driven approach in product management and decision-making.
Communication Skills:Excellent verbal and written communication skills with the ability to translate complex technical concepts into clear, actionable insights for both technical and non-technical audiences.
Technical Proficiency:
Hands-on expertise in big data and cloud platforms (such as AWS, GCP, or Azure) or large-scale systems is preferred.
Industry Experience:
Experience with AdTech platforms or Real-Time Bidding (RTB) systems is highly desirable.
Expertise in Data & Machine Learning:
Strong understanding of data pipelines, visualization tools, and machine learning models, with the ability to apply these to address complex operational challenges.
Technical Background:
Minimum of 5 years experience in a technical role: Full-Stack Developer / Front-End Developer / Data Engineer.
Product Management Experience:
At least 3 years of proven experience managing the full product lifecycle from conception through execution.
Methodological Rigor:
Familiarity with Agile methodologies and a strong commitment to a data-driven approach in product management and decision-making.
Communication Skills:Excellent verbal and written communication skills with the ability to translate complex technical concepts into clear, actionable insights for both technical and non-technical audiences.
Technical Proficiency:
Hands-on expertise in big data and cloud platforms (such as AWS, GCP, or Azure) or large-scale systems is preferred.
Industry Experience:
Experience with AdTech platforms or Real-Time Bidding (RTB) systems is highly desirable.
Expertise in Data & Machine Learning:
Strong understanding of data pipelines, visualization tools, and machine learning models, with the ability to apply these to address complex operational challenges.
This position is open to all candidates.
