Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
CUBE

Product Manager

CUBE

Product Manager responsible for building B2B SaaS solutions for regulatory compliance at CUBE. Collaborating with customers and engineering teams to deliver impactful AI-driven products.

Posted 7/16/2026full-timeLondon • 🇬🇧 United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong product management capabilities in B2B SaaS and enterprise software, with a focus on customer discovery, data-informed decision-making, and agile collaboration. Proven ability to define product requirements, track success metrics, and deliver measurable outcomes through effective communication and teamwork.

Highest-signal resume keywords
Product Management ExperienceCustomer DiscoveryAgile Environment CollaborationData-Informed Decision-MakingAI & Agentic Tooling Fluency

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Product OwnershipRequirements WritingSuccess Metrics DefinitionPrototypingData Analysis
Soft Skills
DecisivenessCommunicationCollaboration
Tools & Technologies
AI AssistantsLLMsAgentic Tooling
Industry Keywords
B2B SaaSEnterprise SoftwareTechnology PlatformsMulti-Stakeholder Products

About the role

Key responsibilities & impact
  • Own your product area end to end: from understanding the problem and shaping the solution through delivery, launch, and iteration.
  • Get close to customers and the problem space: run discovery interviews, dig into usage data, and develop a sharp, evidence-based point of view on what to build and why.
  • Prototype ideas early and often: use AI-generated prototypes, or whatever it takes to make an idea tangible, test assumptions fast, and avoid building the wrong thing.
  • Write detailed, well-reasoned requirements that give engineering and design exactly what they need. Define success metrics upfront and track them through to delivery.
  • Stay close to the work through delivery: collaborate daily with engineering and design, unblock problems quickly, and coordinate launches including enablement and go to market.
  • Make confident scope, quality, and timeline trade-off calls: staying decisive with incomplete information and keeping the team moving.
  • Communicate product plans and progress clearly to stakeholders and leadership, with the confidence to defend prioritisation decisions.

Requirements

What you’ll need
  • Strong product management experience in B2B SaaS, enterprise software, or technology platforms, with a clear track record of owning and shipping product, not just supporting it.
  • Proven experience running customer discovery and turning insight into sharp product decisions comfortable going direct to customers, not just working through intermediaries.
  • History of working effectively with engineering, design, and commercial teams in an agile environment on complex, multi-stakeholder products.
  • Comfort with data-informed decision-making: defining metrics, analysing product performance, and using evidence to prioritise.
  • Builder Mindset & Bias to Action: prototypes, tests, and ships with pace, staying decisive with incomplete information rather than waiting for certainty.
  • AI & Agentic Tooling Fluency: hands on with AI assistants, LLMs, and agentic tooling to move faster, and brings the team along in adopting them.
  • Demonstrated track record of defining what to build (not just executing on someone else’s roadmap) and shipping it through to measurable customer outcomes.

Benefits

Comp & perks
  • Diversity, collaboration, and purpose are the heartbeat of our success.
  • Our “make it happen” culture empowers you to take ownership of your career and accelerate your personal and professional development from day one.
  • Work alongside some of the brightest minds in AI research and engineering in developing impactful solutions.