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Product Delivery Lead; Software Engineering

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Iprova Sàrl
Full Time, Part Time position
Listed on 2026-07-27
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Full Stack Developer, Software Architect, Software Engineer
Salary/Wage Range or Industry Benchmark: 90000 - 130000 GBP Yearly GBP 90000.00 130000.00 YEAR
Job Description & How to Apply Below
Position: Product Delivery Lead (Software Engineering)
Location: Greater London

Product Delivery Lead (Software Engineering)

  • Permanent, full time
  • London or Cambridge (Hybrid) 2-3 days in office
Who we are

Iprova is a pioneering and fast-growing technology start-up with offices in Lausanne,
Switzerland, and London, UK. We support some of the world’s best-known technology
companies in North America, Europe, and Japan to enable the products and services of
tomorrow to be invented faster and more disruptively than ever before. Our advanced
AI-based algorithms and software platform help our clients and in-house inventors create
breakthrough innovations.

We’ve helped customers file hundreds of patents in areas such as autonomous vehicles,
healthcare, and communications, with our inventions cited by industry leaders like
Microsoft, Google, and Amazon.

The Opportunity

Iprova is seeking a Product Delivery Lead to coordinate and drive delivery across our software engineering teams building an AI-powered invention platform.

This role sits between Product and Engineering, ensuring that priorities are clear, execution is well-planned, and delivery remains predictable and high quality.

Unlike a traditional project manager role, this position requires a strong software engineering background. You will be expected to understand system design, contribute technically when needed, and engage deeply with engineers on implementation details.

Key Responsibilities

Delivery & Coordination

  • Own end-to-end delivery planning across engineering work streams.
  • Translate product requirements into structured engineering execution plans.
  • Manage priorities, timelines, dependencies, and risks across teams.
  • Lead sprint planning, reviews, and cross-team delivery meetings, while ensuring priorities are clear, blockers are addressed, and execution stays aligned.
  • Ensure alignment between Product, Engineering, and stakeholders.

Technical Engagement

  • Participate in architectural discussions and technical planning.
  • Work closely with engineers to understand implementation complexity.
  • Review technical approaches and help de-risk delivery decisions.
  • Contribute code or technical fixes where useful (not primary responsibility, but expected capability).

Stakeholder Management

  • Provide clear and consistent delivery updates to leadership.
  • Surface risks early and propose pragmatic mitigation strategies.
  • Ensure smooth communication between technical and non-technical teams.
  • Improve delivery visibility and predictability across the organisation
Skills and Requirements
  • Strong software engineering experience (backend, frontend, or full-stack).
  • Strong understanding of software development life cycles and Agile practices.
  • Experience working closely with product teams in a delivery-focused environment.
  • Ability to understand system architecture and technical trade-offs.
  • Experience with Python and Django
  • Experience with frontend frameworks (Vue.js, React, or similar).
Ideal Background
  • Tech lead transitioning into delivery ownership
  • Hands-on coding involvement
  • Senior Engineer who led cross-team delivery
  • Experience in SaaS, AI, or data-driven platforms.
  • Familiarity with cloud infrastructure (Azure, AWS, GCP).
  • Experience working in scale-up environments with evolving priorities.
  • Exposure to ML / AI systems or knowledge-based platforms
Benefits of joining us
  • Cutting-Edge Technology:
    Work with modern AI, from machine learning models to agentic systems
  • Inclusive Work Culture:
    Collaborative environment emphasizing mutual respect
  • Flexible

    Working Hours:

    Arrangements that prioritize productivity and work-life balance
  • Real-World Impact:
    Build AI systems that accelerate global technological innovation
  • Continuous Learning:
    Opportunities to grow in ML engineering, product design, and systems architecture
  • Hybrid Working: 2-3 days per week from our Shoreditch
Please note

During periods where we receive very high numbers of applications, we will only reply to those we wish to advance.

We will only use the information you give us for recruitment purposes. By submitting your details to apply for a position, you consent to have your personal details used to process the job application. We will treat the information in strict confidence.

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