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Fractional head of product (wealthtech)

Reading (Berkshire)
Augment Ventures - Building the Future of Wealth
Head of product
Posted: 9h ago
Offer description

Augment Ventures is a venture studio focused on transforming wealth management and financial advice. By building and scaling innovative WealthTech businesses, the company creates solutions tailored for advisers, investors, and institutions. Augment Ventures combines human expertise, digital experiences, and automation to deliver cutting-edge wealth platforms and tools. The company leverages rapid iteration, founder-led ventures, and technology-driven strategies to reimagine the wealth client journey. Based in London, Augment Ventures seeks top talent passionate about reshaping the wealth management landscape.


We’re a founder-led team building decision-support software for UK financial advisers. The work blends portfolio management, retirement planning, and workflow automation. We’re looking for a fractional Head of Product to lead strategy-to-MVP for a rules- and model-driven engine, working closely with engineering and design.


What you’ll own (outcomes only)

* A 12-week product plan with milestones and success measures for an adviser-facing decision tool.
* A concise specification pack (business logic narrative, API/data contracts, testable acceptance criteria).
* Advisor UX that explains recommendations clearly and defensibly.
* A demoable MVP with 2–3 representative client scenarios.
* A go/no-go recommendation for the next iteration.


Weekly cadence

* Roadmap/backlog session (1×) • Design/PR reviews with engineers (1–2×) • Founder update (1×).


You’ll bring

* 7–10+ years in product leadership (Head of Product / Product Director / CPO).
* Proven delivery of complex B2B SaaS with model- or rules-based engines.
* Excellent written specs and test artefacts; comfortable with data-heavy products.
* UK fintech/wealth experience
* Knowledge of UK investment wrappers (ISA/SIPP/GIA/ Onshore & Offshore Investment Bonds), CGT harvesting, allowance sequencing.
* Quant/ops research familiarity; Python/SQL literacy for validation.
* Prior work with portfolio management investment systems.



Engagement

* ~2-3 days/week for 3–6 months.

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