Senior Product Manager (Data & Analytics)

TL;DR

Senior Product Manager (Data & Analytics): Lead the hirify.globalIQ data and analytics product end-to-end, owning the roadmap, discovery, and delivery with an accent on commercial strategy, data infrastructure direction, and integrating data-driven experiences into the core hirify.global product. Focus on shaping how data is built, priced, and used while driving go-to-market execution and adoption for new capabilities.

Company

Mobile-first employee experience platform building hirify.globalIQ, a data and analytics product for frontline organisations.

What you will do

• Own the hirify.globalIQ roadmap end-to-end: prioritize iterations that drive revenue and adoption, run customer discovery, and take features from concept to launch.
• Define commercial and pricing strategy for hirify.globalIQ: evaluate packaging and pricing, and work with commercial teams to align value and price evolution.
• Act as the internal data SME: enable sales, customer success, and marketing with how customers should use data and where gaps exist.
• Set technical direction for data infrastructure: guide infrastructure investments by understanding pipelines, models, and warehousing well enough for technical discussions.
• Use data to improve the core product experience: lead work on nudges, recommendations, personalisation, and in-context insights.
• Ensure squad delivery against enterprise commitments and partner on go-to-market positioning, enablement, and adoption.

Requirements

• 5+ years of product management experience in B2B SaaS.
• Proven experience owning a data, analytics, or BI product (not just using data as an input to other work).
• Strong technical fluency in data, including pipelines, models, warehousing, and infrastructure trade-offs.
• Track record of shaping data product strategy plus pricing and packaging in a commercial context.
• Customer discovery and validation skills: run interviews, analyze feedback, and translate insights into product decisions.
• Track record of launching data/analytics features to market, including go-to-market and driving adoption.

Nice to have

• Experience with data products for frontline, deskless, or operationally-focused organisations.
• Experience evolving data infrastructure alongside engineering leadership.
• Experience embedding data-driven features (nudges, recommendations, personalisation) into a core product experience.

Culture & Benefits

• Hybrid work with onsite presence 3 days per week in London.
• 25 days’ leave plus public holidays, and additional time off between Christmas and New Year.
• Private healthcare with AXA.
• 3% employer pension contribution when contributing 5%.
• Stock options with starting and additional high-performer grants annually.
• Cycle to Work scheme and enhanced parental leave.

Hiring process

• Not specified in the posting.