edenity.
Director of Strategy - Engineering, Product & Growth

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📍 London · Full-time · Reports to CEO
A global EdTech business - publicly backed, 20M+ learners taught, 2M classes delivered a year, is at an inflection point. AI is moving from pilot to mandate. eCommerce is scaling from early-stage to core channel. And the technology function that sits behind it all needs a leader who can build for the future without breaking what already works today.
The opportunity Most of the revenue today comes through a mature, well-established telesales and lead-generation engine. Ecommerce is growing, but growing over time, not overnight. You'll be the leader who's comfortable changing the engine while flying: driving AI-enabled and ecommerce transformation while protecting and supporting a live, revenue-critical business. You won't own the core learning product, that sits with a dedicated central product and engineering team. What you'll own is everything that powers the commercial engine around it: ecommerce, sales technology, marketing platforms, customer-facing systems, data, and how a market-leading AI-powered platform gets integrated and configured for customers.
What you'll own
- Translate business priorities into technology roadmaps, delivery plans and investment recommendations, with clear visibility on feasibility, dependencies, risk and trade-offs
- Identify, evaluate and deliver AI-enabled capabilities across marketing, sales, customer experience and operations, in partnership with central product teams
- Own the commercial technology stack: ecommerce, CRM and sales tooling, marketing and omnichannel platforms, customer-facing business systems and data platforms
- Own the integration and configuration of the core learning platform for customers, working closely with the central product and engineering organisation
- Lead a multi-disciplinary technology team of c.15, spanning web engineering, data engineering, CRM administration, system ownership and marketing technology, primarily through managers and team leads
- Embed AI-native ways of working as the default across the technology function and the wider business
- Hold the line on privacy, security, governance and operational resilience as the AI and ecommerce surface area expands
- Own vendor and platform strategy: procurement, evaluation and total cost of ownership across the commercial technology estate
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What we're looking for
- A senior leader with a strong technical & commercial instinct, someone who thinks in business outcomes, not just systems
- Proven experience owning ecommerce, CRM/sales technology, marketing platforms or commercial data infrastructure at scale
- A strategic, pragmatic view on AI, automation and LLM-based technologies, balancing value, complexity, risk and long-term maintainability
- Strong grounding in data architecture, data engineering and analytics platforms
- Experience operating with real rigour around privacy, security, risk and governance (e.g. GDPR), not as an afterthought, but as core to how you build
- A track record of leading through managers and team leads across a multi-disciplinary organisation
- Comfort partnering with an external product organisation rather than owning the full stack solo; you'll need to influence without direct control
- Resilience and pragmatism: this is a role for someone who can drive transformation while keeping a live, revenue-critical engine running


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Why this role
- A seat at the leadership table. You'll report directly to the CEO and act as the primary technology voice within the senior leadership team, shaping strategy, not just executing it.
- Real scale, real stakes. This isn't a greenfield build. The product is real, the revenue is real, and the technology decisions you make will directly shape commercial outcomes.
- A genuine inflection point. AI is a mandate from the top, not a side project. You'll have the backing to build it into every layer of the technology estate, from day one.
- The best of both worlds. The freedom and pace of a business building its next chapter, backed by the scale and stability of an established, 28-year-old global organisation.
Interested? Get in touch to find out more.
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