Senior Product Manager
AI Summary
Senior Product Manager owns an end-to-end product area, driving measurable outcomes (conversion, revenue) through rapid discovery, experimentation, and data-informed decisions in a high-ambiguity environment.
About this role
About us
At Text, we’re building a new category around customer communication, powered by real-time data.
You’ll join a product area focused on turning behavioural signals into actions that drive conversion, revenue, and growth - not another CRM, but a system that helps businesses act in real time.
We have a clear direction. Now we need someone who can turn it into fast learning, sharp decisions, and continuous progress in a high-ambiguity, high-ownership environment. This is a builder role - you’ll define how the product works end-to-end, turning real-time signals into measurable outcomes.
What you’ll do
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Own a product area end-to-end - from identifying the right problems to delivering measurable outcomes (e.g. conversion, revenue)
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Turn direction into fast learning - define hypotheses, run experiments, and iterate quickly
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Make high-quality decisions in ambiguity and move forward without perfect data
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Work closely with engineering and design to build simple, effective solutions
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Move fast and stay focused - prioritise what matters most and continuously learn what works
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Collaborate across teams to build a cohesive product experience, not isolated features
You’re a strong match if you:
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Have experience building products in early-stage or zero-to-one environments
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Think in outcomes - you care about real impact, not just shipping features
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Bring high ownership - you take responsibility for outcomes, not just tasks
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Navigate ambiguity confidently — making decisions and helping strong teams move faster on what matters most
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Have strong product judgment - you know what matters, what to skip, and how to keep things simple
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Care deeply about customer behaviour and decision-making
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Think in systems - connecting data, product, and experience across teams
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Experience running product discovery and rapid experimentation cycles
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Strong data fluency — comfortable using product analytics (e.g. Amplitude) to inform decisions and measure impact
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Background in activation, growth, or behaviour-driven products
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Experience working in cross-functional product teams
Hard skills & experience:
Skills
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