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

Apply Now

B2C Senior Product Owner

The lead agency
Liverpool
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Lead Content Data Analyst

Lead Content Data Analyst

Principal Data Scientist

Data Analyst (Lending Strategy)

Data Analyst (Lending Strategy)

Senior Technical Product Owner - Drive B2C Product Excellence at TLA!

Are you an accomplished product leader passionate about delivering top-tier B2C digital solutions? Join TLA, the trusted partner in the automotive martech sector, and play a pivotal role in connecting car brands with engaged buyers through innovative technology.

The Opportunity: Senior Product Owner

As the Senior Product Owner, you’ll spearhead our B2C product initiatives, shaping product vision, setting priorities, and delivering continuous innovation that fuels TLA’s growth in the automotive sector. You’ll collaborate with dynamic, cross-functional teams to develop consumer-facing technology that supports car buyers and enhances the new car retail process, bridging the gap between manufacturers and consumers in an evolving market landscape.

You will own the B2C products so be responsible for meeting targets including consumer value generation, lead generation performance and client strategic alignment.

Key Responsibilities:

Own TLA’s B2C products, ensuring quality and consumer value generation, continuous innovation, performance and strategic alignment with our auto manufacturer clients. Develop and own the product and feature roadmap, maintaining alignment with TLA’s strategic objectives and priorities. Follow data-driven frameworks, conducting user and client research, data analysis, and prototyping/user testing to inform product improvements. Perform the product management role within the B2C product team, devising product features from data insights, creating plans, wireframes and prototypes, conducting user testing and supporting the agile product development cycle to achieve successful outputs.

Who We’re Looking For:

The ideal candidate combines a strong technical acumen with product management prowess and thrives in a performance-driven environment. You should be:

Experienced: 5+ years in technical product management, preferably in performance-focused industries such as e-commerce or lead generation. User-Centric: Skilled in design thinking and user-centred design principles. A Leader: Capable of mentoring teams with a solid background in managing the B2C product lifecycle. Hands-On: Proficient in product development tasks including research, wireframing, user story creation, collaborating on UX/UI design and working with development teams. Detail-Oriented: Driven by quality and results, ensuring a meticulous approach to product management. Technical: We are a technology business, building advanced and challenging technical products that advance our industry. Understanding of areas such as machine learning and AI, web development technologies, development lifecycle and best practices are essential. Progressive: High standard of education with minimum batchelors degree in a related subject, evidence of self-learning and continuous personal development.

Previous experience within the automotive industry would be advantageous.

Why Join TLA?

At TLA, you’ll contribute to solutions that empower automotive leaders like BMW, Ford, and Volkswagen to better connect with their audiences. Work in a collaborative, innovative environment with benefits including hybrid working (2-days Liverpool office based), private health insurance, and opportunities for professional growth.

Are you ready to propel your career and redefine automotive engagement? Apply now.

PLEASE NOTE: This role is only open to those with the right to work in the UK without the need for sponsorship or visa, now or in the future.

This role requires weekly attendance at our Liverpool office 2 days/week so please only apply if this is possible.

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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.