Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Interim Product Director

RENOIR
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Interim Product DirectorWe are incredibly proud to partner with this dynamic tech startup on a mission to transform public sector services using innovative AI-powered solutions. They are seeking a passionate and experienced Interim Product Director to join their team and play a pivotal role in driving their growth.Your RoleAs Interim Product Director, you will be responsible for leading the development and growth of their digital products. You'll work closely with the C-suite and collaborate with cross-functional teams to ensure their products align with their strategic vision. Your focus will be on leveraging AI to create efficient and effective tools that empower their users.Key Responsibilities:Product Strategy: Develop and execute a product strategy that aligns with our overall business goals.Product Management: Lead a team of product managers, overseeing the entire product lifecycle from ideation to launch and beyond.AI Integration: Drive the integration of AI into our products to enhance their capabilities and efficiency.Metrics and KPIs: Define and track key performance indicators to measure product success and identify areas for improvement.Collaboration: Work closely with engineering, design, data, and other teams to ensure a seamless product development process.Continuous Improvement: Foster a culture of innovation and experimentation to continuously improve our products.What We're Looking ForProduct Leadership: Proven experience leading product teams in a fast-paced, tech startup environment. Start-up experience is essential.Technical Expertise: A deep understanding of B2B SaaS products, with a focus on AI and automation.Collaboration: Strong interpersonal skills and the ability to work effectively with cross-functional teams.Results-Driven: A passion for achieving measurable results and driving business impact.Continuous Learning: A growth mindset and a willingness to learn and adapt to new technologies and trends.Bonus PointsExperience in the welfare or social services sector.A background in engineering or data science.Why This Company?Be part of a mission-driven company making a positive impact on society.Work in a collaborative and supportive team environment.To ApplyIf you're passionate about product development and want to join a dynamic team, please submit your CV to

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.