Technical Product Manager

Technical Product Manager

Posted Today by Russell Tobin

£550 Per day
Inside
Onsite
London Area, United Kingdom

Summary: The role of Technical Product Manager involves leading the development of scalable marketing technologies that leverage data-driven innovation and AI solutions. This position requires collaboration with engineering and data science teams to enhance marketing automation and measurement. The successful candidate will translate technical concepts into actionable product requirements and drive initiatives integrating generative AI into marketing workflows. A strong background in product management, particularly in marketing platforms and AI/ML applications, is essential for success in this role.

Key Responsibilities:

  • Drive product development across data, automation, and AI/ML capabilities to support marketing scalability and efficiency.
  • Collaborate with engineering, data science, and analytics teams to deliver robust measurement and optimization tools.
  • Translate complex technical concepts into actionable product requirements and communicate them effectively across stakeholders.
  • Lead initiatives to integrate generative AI into marketing workflows, including content generation and ad creative optimization.
  • Conduct market and trend analysis to inform product strategy and identify opportunities for innovation.
  • Build deep understanding of data infrastructure and able to source data dictionaries, database schema for wider use.
  • Write user stories, acceptance criteria, hypotheses and success metrics for new product features or enhancements.

Key Skills:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or equivalent experience.
  • 5+ years of product management experience, ideally in marketing platforms, data products and AI/ML applications.
  • Strong technical acumen with experience in data engineering, workflow orchestration, and machine learning operations.
  • Excellent communication skills with the ability to influence cross-functional teams and stakeholders.
  • Experience with Python, SQL, Java, HQL, Hive, Pyspark, or similar programming languages preferred.
  • Well-versed in design thinking principles.
  • Great problem-solving and analytical skills.

Salary (Rate): £550 daily

City: London Area

Country: United Kingdom

Working Arrangements: on-site

IR35 Status: inside IR35

Seniority Level: Mid-Level

Industry: IT

Detailed Description From Employer:

12 months contract/Onsite/Rate 550 pounds per day Inside IR 35

Description: Join our Growth Marketing Technology team to help shape the future of marketing through data-driven innovation and AI-powered solutions. As a Product Manager III, you’ll play a pivotal role in developing scalable marketing technologies that enhance automation, measurement, and personalization across global marketing campaigns on platforms.

What You’ll Do

  • Drive product development across data, automation, and AI/ML capabilities to support marketing scalability and efficiency.
  • Collaborate with engineering, data science, and analytics teams to deliver robust measurement and optimization tools.
  • Translate complex technical concepts into actionable product requirements and communicate them effectively across stakeholders.
  • Lead initiatives to integrate generative AI into marketing workflows, including content generation and ad creative optimization.
  • Conduct market and trend analysis to inform product strategy and identify opportunities for innovation.
  • Build deep understanding of data infrastructure and able to source data dictionaries, database schema for wider use.
  • Write user stories, acceptance criteria, hypotheses and success metrics for new product features or enhancements.

Who You Are

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or equivalent experience.
  • 5+ years of product management experience, ideally in marketing platforms, data products and AI/ML applications.
  • Strong technical acumen with experience in data engineering, workflow orchestration, and machine learning operations.
  • Excellent communication skills with the ability to influence cross-functional teams and stakeholders.
  • Experience with Python, SQL, Java, HQL, Hive, Pyspark, or similar programming languages preferred.
  • Well-versed in design thinking principles.
  • Great problem-solving and analytical skills.