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

Apply Now

Product Manager - Human Resources

XO
London
9 months ago
Applications closed

Related Jobs

View all jobs

Technical Product Manager - Data Science

Data Science Tech PM for Smart Allocation (Hybrid)

Senior Product Data Scientist

Senior Product Data Scientist

Machine Learning Engineering Manager - MLOps/AI Platform (m/f/x)

Machine Learning Engineering Manager - MLOps/AI Platform (m/f/x)

Job Profile

The Product Manager, Human Resources, is responsible for leading the development and management of human resources and services within Vista Global and its entities. This role involves collaborating closely with cross-functional teams, including engineering, sales, marketing, and finance, to ensure that the human resources products meet market demands and align with the company's strategic goals.

Vista Tech plays a vital role in the Vista group operations by delivering and accelerating comprehensive technology solutions across all brands. Vista’s end-to-end and click-to-flight solutions offer the industry's only comprehensive flight booking platform, seamlessly integrating global operations, and leveraging AI and machine learning to optimize pricing and fleet movement. Comprised of the Product Management, Engineering, and IT teams, Vista Tech’s mission is to enhance transparency and accessibility in private aviation through the development of the world's largest digital private aviation marketplace. 

Your Responsibilities

Product Strategy & Roadmap: Develop and execute the product strategy and roadmap for human resources ensuring alignment with overall company objectives and market trends. Market Research & Analysis: Conduct in-depth market research to identify customer needs, market opportunities, and competitive landscape, and use this information to inform product decisions. Product Development: Lead the end-to-end product development process, from ideation to launch, including defining product requirements, prioritizing features, and working closely with engineering teams. Stakeholder Management: Collaborate with key stakeholders, including human resources, finance, and compliance teams, to ensure products meet regulatory requirements and organizational goals. Performance Monitoring: Track product performance through key metrics, analyze data, and make informed decisions to optimize product offerings. Customer Focus: Act as the voice of the customer, ensuring that human resource products deliver a seamless and valuable user experience. Leadership & Mentorship: Provide guidance and mentorship to junior product managers and other team members, fostering a collaborative and innovative work environment.

Required Skills, Qualifications, and Experience

Education: Bachelor’s degree in Finance, Business, Economics, or a related field. MBA or advanced degree is a plus. Experience in product management, with a focus on human capital products or services. Experience working with SAP, Workday, Success Factors or ADP tools. Technical Skills: Strong understanding of human resource products, market trends, and regulatory requirements. Experience with Agile methodologies and product management tools. Leadership: Proven ability to lead cross-functional teams and manage complex projects. Analytical Skills: Strong analytical and problem-solving skills, with the ability to interpret data and make data-driven decisions. Communication: Excellent verbal and written communication skills, with the ability to articulate complex concepts to a diverse audience. Customer-Centric: Deep understanding of customer needs and a passion for delivering high-quality products.

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 Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

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.