Senior Technical Product Manager

SR2 | Socially Responsible Recruitment | Certified B Corporation™; London; Hybrid; GBP 90,000 - 110,000; Full time

Job summary

A leading company in Digital Asset Management is seeking a Senior Technical Product Manager to drive innovation and scalability for their B2B SaaS product. This role involves overseeing cloud infrastructure, AI integration, and product strategy to enhance platform capabilities. The position promises a collaborative environment with significant responsibilities in a highly technical and evolving space.

Qualifications

• Extensive product management experience with strong technical background required.
• Direct experience with AI/ML products, including MLOps.
• Experience working in Agile/Scrum environments.

Responsibilities

• Own the vision and strategy for cloud-native and AI capabilities.
• Define product roadmaps aligning with business goals.
• Lead architecture transition to microservices.

Skills

Product Management

Cloud Technologies

Microservices

AI & Machine Learning

DevOps

Agile/Scrum

Education

Computer Science Degree or Equivalent

Tools

AWS

Docker

Terraform

Job description

SR2 | Socially Responsible Recruitment | Certified B Corporation provided pay range

This range is provided by SR2 | Socially Responsible Recruitment | Certified B Corporation. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

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Helping Scale-Ups Build Their Engineering Teams - Tech for Good Consultant at SR2 | Socially Responsible Recruitment | Certified B Corporation | …

Senior Technical Product Manager (Cloud Platform & AI) - London (can be remote across UK) - Up to £110k

A global leader in Digital Asset Management space are looking for a Senior Technical Product Manager to support the engineering team, as they scale to meet the demand for their B2B SaaS product.

Core Technical Mission:

As the Senior Technical Product Manager for the Platform and AI teams, you will own the vision, strategy, and execution for the foundational services of the product. Your primary objective is to drive the evolution of cloud-native infrastructure and machine learning capabilities to support scalability, innovation, and new product features.

The Technical Environment:

You will be responsible for roadmaps concerning a modern, evolving tech stack, including:

• Cloud Infrastructure: The platform is built on Amazon Web Services (AWS). You will drive strategy for core services, including the Amazon ECS container orchestration, to ensure infrastructure is scalable, resilient, and cost-efficient.
• Microservices Architecture: You will guide the ongoing architectural transition to a distributed system of microservices. This involves defining the strategy for service-to-service communication, API gateways, and data management.
• AI & Machine Learning Platform: AI is a critical component of the product. You will lead the product vision for our MLOps pipelines and the integration of both traditional and generative AI models into our platform.
• DevOps & Automation: You will be responsible for the product strategy that underpins engineering enablement. This includes defining requirements for our CI/CD pipelines, Infrastructure as Code (Terraform), and monitoring frameworks to improve deployment frequency and system reliability.

Key Technical Responsibilities:

• Define and execute the product roadmaps for the core Platform and AI/ML teams, aligning them with business goals and the needs of other product squads.
• Act as the primary technical product partner for other Product Managers, ensuring the platform's capabilities are aligned with their feature development needs.

Required Skills and Experience:

• Extensive product management experience with a strong technical background (e.g., CS degree, previous engineering role, or equivalent hands-on experience).
• Demonstrable product management experience with B2B SaaS, cloud platforms, APIs, or infrastructure products.
• Strong, practical knowledge of cloud technologies, specifically AWS, and system architecture design.
• Deep understanding of microservices, Docker, security best practices, DevOps principles, CI/CD, and system monitoring.
• Direct experience with AI/ML products, including MLOps and the productization of machine learning models (both traditional and generative).
• Proven ability to bridge business and technical perspectives to make informed trade-offs between speed, quality, and scalability.
• Experience working in Agile/Scrum environments.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Product Management, Information Technology, and Engineering

• Industries

  Software Development, IT System Custom Software Development, and IT Services and IT Consulting

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