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Mid-level popular product title, metro location, and broad skill requirements increase competition.
Requires B2B SaaS product experience, analytics, and AI fluency, limiting cross-industry transferability.
Explicit 5–7 years, mandatory B2B SaaS product experience, analytics and AI fluency create strict filters.
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Own a product area end-to-end, setting roadmap, prioritisation, and outcomes aligned with business goals.
Drive product decisions based on customer discovery, analytics, and evidence to improve adoption, behaviour, or key metrics.
Lead AI integration opportunities to enhance or reinvent workflows as part of an AI-native SaaS product environment.
5-7 years product management experience in B2B SaaS with proven impact on business outcomes, not just features.
Experience owning a product area or major surface end-to-end with outcome responsibility.
Ability to analyse and synthesise data including SQL proficiency and fluency with analytics tools (e.g. Amplitude, Metabase, Google Analytics).
Strong communication skills and familiarity with UX design practices in SaaS products.
Strategic and evidence-driven decision maker who measures success by outcomes supported by data and customer insights.
Experienced in managing AI-enabled product features and workflows within an AI-native SaaS environment.
Comfortable working closely with cross-functional teams in a fast-paced, dynamic startup setting and owning initiatives end to end.