Technical Product Manager

Technical Product Manager

London Full-Time 48000 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead the vision and execution for core platform services and engineering enablement.
  • Company: Join a global leader in Digital Asset Management, driving innovation in cloud-native infrastructure.
  • Benefits: Enjoy flexible remote work options and a culture that values innovation and collaboration.
  • Why this job: Make a real impact by empowering engineering teams with cutting-edge technology and tools.
  • Qualifications: Strong technical background preferred; experience in cloud infrastructure and AI/ML is a plus.
  • Other info: Ideal for those passionate about building foundational platforms for world-class engineering teams.

The predicted salary is between 48000 - 72000 £ per year.

Job Description

Senior Technical Product Manager – Core Platform

London or Remote (UK) | Global Leader in Digital Asset Management

A global leader in the Digital Asset Management space is looking for a Senior Technical Product Manager focused on core platform services and engineering enablement. This is a high-impact role supporting the scale of cloud-native infrastructure and machine learning services, empowering engineering teams across the business to deliver at speed and scale.

Core Technical Mission

  • Own the vision, strategy, and execution for core internal services – cloud infrastructure, reliable platform operations, and engineering productivity.
  • Drive the evolution of foundational technology, enabling scalability, innovation, and new product capabilities across multidisciplinary engineering and data teams.

Technical Environment

Cloud Infrastructure

  • Lead development and optimisation of AWS-based platform services, including Amazon ECS for container orchestration.
  • Ensure scalable, resilient, and cost-effective systems for internal engineering teams.

Microservices & API Gateways

  • Guide distributed system architectures and internal service integration.
  • Define best practices for service-to-service communication and data management.

AI & ML Enablement

  • Set vision for MLOps platforms and streamline machine learning workflows.
  • Enable deployment of traditional and generative AI models into internal platforms.

Developer Experience & DevOps Tooling

  • Shape strategy for CI/CD, Infrastructure as Code (IaC), and monitoring frameworks.
  • Enhance developer productivity, deployment velocity, and system reliability.

Key Responsibilities

  • Define and maintain product roadmaps for platform, infrastructure, and AI/ML tooling.
  • Act as primary product partner to engineering, SRE, and data science teams.
  • Lead initiatives that boost developer experience, system observability, and engineering efficiency.
  • Foster a culture of enablement, documentation, and adoption for internal tooling and platforms.

Required Skills and Experience

  • Strong technical foundation (e.g. CS degree, former engineering experience, or hands-on product ownership in technical environments preferred but not essential).
  • Proven success in building and scaling core platforms, cloud infrastructure, developer tooling, and API services.
  • Deep, practical knowledge of AWS, distributed systems, CI/CD, IaC, DevOps principles, and observability tooling.
  • Direct collaboration with engineering/SRE teams on internal tooling and shared services.
  • Track record of delivering internal products that boost developer workflows, reliability, or deployment velocity.
  • Hands-on experience with AI/ML platforms, MLOps, and deploying machine learning models into production environments.

Core Focus Areas

  • Core Platform Engineering
  • Developer Experience (DevEx/DX)
  • Engineering Productivity
  • DevOps Tooling
  • Observability Solutions
  • Platform as a Service (PaaS)
  • Infrastructure as a Service (IaaS)
  • Cloud-Native Architecture

If you're passionate about building foundational platforms and tools that empower world-class engineering teams, this could be a brilliant fit.

Technical Product Manager employer: SR2 | Socially Responsible Recruitment | Certified B Corporation™

As a global leader in Digital Asset Management, we pride ourselves on fostering a dynamic work culture that prioritises innovation and collaboration. Our London or remote-based Senior Technical Product Manager role offers exceptional growth opportunities, competitive benefits, and the chance to work with cutting-edge cloud-native technologies and AI/ML platforms, all while empowering engineering teams to excel. Join us to be part of a forward-thinking organisation that values your contributions and supports your professional development.
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Contact Detail:

SR2 | Socially Responsible Recruitment | Certified B Corporation™ Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Technical Product Manager

Tip Number 1

Familiarise yourself with AWS services, especially Amazon ECS, as this role heavily focuses on cloud infrastructure. Consider exploring online resources or tutorials that cover best practices for container orchestration to demonstrate your knowledge during discussions.

Tip Number 2

Engage with communities or forums related to DevOps and MLOps. Networking with professionals in these areas can provide insights into current trends and challenges, which you can reference in conversations with our team.

Tip Number 3

Prepare to discuss your experience with building and scaling core platforms. Think of specific examples where you've improved developer workflows or system reliability, as these will be key talking points during interviews.

Tip Number 4

Showcase your understanding of CI/CD and Infrastructure as Code (IaC) principles. Being able to articulate how these practices enhance engineering productivity will set you apart as a candidate who truly understands the technical landscape.

We think you need these skills to ace Technical Product Manager

Cloud Infrastructure Management
AWS Expertise
Microservices Architecture
API Development and Integration
MLOps Knowledge
CI/CD Implementation
Infrastructure as Code (IaC)
DevOps Principles
Observability Tooling
Technical Product Roadmapping
Cross-Functional Collaboration
Developer Experience Enhancement
System Reliability Improvement
Agile Methodologies
Problem-Solving Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in technical product management, cloud infrastructure, and AI/ML platforms. Use specific examples that demonstrate your success in building and scaling core platforms.

Craft a Compelling Cover Letter: In your cover letter, express your passion for empowering engineering teams and detail how your skills align with the company's mission. Mention specific technologies you have worked with, such as AWS, CI/CD, and DevOps principles.

Showcase Technical Skills: Clearly outline your technical foundation and any hands-on experience you have with distributed systems, API services, and observability tooling. This will help demonstrate your capability to lead initiatives that boost developer experience.

Highlight Collaboration Experience: Emphasise your experience working directly with engineering, SRE, and data science teams. Provide examples of how you have successfully collaborated on internal tooling and shared services to enhance productivity and system reliability.

How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B Corporation™

Showcase Your Technical Knowledge

Make sure to brush up on your understanding of cloud infrastructure, particularly AWS services like ECS. Be prepared to discuss your experience with distributed systems and how you've applied DevOps principles in past roles.

Demonstrate Your Product Management Skills

Be ready to talk about how you've defined product roadmaps and collaborated with engineering teams. Highlight specific examples where your initiatives have improved developer experience or system reliability.

Prepare for Scenario-Based Questions

Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in scaling platforms or optimising workflows, and how you overcame them.

Emphasise Collaboration and Communication

Since this role involves working closely with engineering, SRE, and data science teams, be prepared to discuss how you've fostered collaboration in the past. Share examples of how effective communication has led to successful project outcomes.

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