UK

United Kingdom · Technical roles · Mid-Level Professional (2-5 years)

Blockchain Research Director

Here is the whole job, in plain words. What it is, a real day, what you decide, how you're judged, how people get here and where they go next. Then the part no course gives you: twelve AI tutors who learn your work.

  • Experience bandMid-Level Professional (2-5 years)
  • Direct reportsNo direct reports
  • Reports toSenior Blockchain Research Director
  • UK framework levelUsually a coordinator, or early in a professional job

Also advertised as Protocol Researcher · Cryptoeconomic Modeller · Distributed Systems Researcher

Built on an analysis of 43,079 real UK job descriptions · grounded in qualifications employers recognise

Start with a free Future Fluency check, tuned to Blockchain Research Director

Ten quick questions, one per Future Fluency, asked against this role rather than a generic one. About five minutes, and no card.

Start the check, free

1What this role really is

You'll be diving deep into the guts of blockchain protocols, trying to understand how they work, where they might break, and how we can make them better. This isn't about just reading whitepapers; it's about pulling them apart, simulating them, and figuring out what the real-world implications are. Think of it as being a detective for decentralised systems, always looking for the hidden flaws or the clever optimisations.

2What you'd actually use

The tools this job runs on, and how well you'd need to know each one.

Solidity (Smart Contract Language)Intermediate

Reading, debugging, and writing moderately complex smart contracts or protocol components. You'll need to understand what's happening under the hood.

Hardhat / Foundry (Dev & Testing Frameworks)Intermediate

Using these frameworks for compiling, testing (unit, integration), and deploying contracts to testnets. You'll be following existing testing patterns, but also suggesting improvements.

Dune Analytics / The Graph (On-Chain Data)Advanced

Creating complex, multi-table Dune dashboards from scratch. You'll also be using existing subgraphs and potentially even designing simple custom ones for new protocols to pull specific data.

CadCAD / Python (NumPy, SciPy) (Cryptoeconomic Modeling)Expert

Building complex multi-agent simulations from the ground up in CadCAD to model protocol behaviour under various economic and adversarial conditions. This is where you'll spend a lot of your time.

Notion / Confluence (Collaboration & Documentation)Intermediate

Documenting your research findings, writing clear summaries of papers, and contributing to the team's knowledge base. You'll also be helping to keep our shared resources organised.

3What you get to decide, and how that grows

Power in a job isn't your title. It's what you're allowed to decide. Here's how it grows as you move up.

The choiceComing inWhere you are nowThe step above
Technical Approach for a Research ProblemProposes options, seeks approval from supervisor.Chooses and justifies approach for routine problems; consults manager for novel ones.Defines and implements approach; informs manager.
Tool Selection for Analysis/SimulationUses approved tools, asks for guidance on new ones.Selects appropriate tools from approved list; proposes new tools with justification.Evaluates and introduces new tools and methodologies for the team.
Project Timeline Adjustments (minor)Escalates immediately to supervisor.Informs manager and proposes new timeline; seeks agreement.Manages and communicates adjustments within a workstream; informs director.
Budget for Research Tools/SoftwareNo authority; requests from supervisor.Can recommend spend up to £10K; requires manager approval for anything above.Approves spend up to £50K within own workstream budget.

4How you'll be judged

The scoreboard, honestly: the hard targets, how often each one is actually looked at, and the quiet human signals that never make it onto a dashboard.

Vulnerabilities Identified in Protocol Reviews
The number of minor or moderate security flaws, economic exploits, or design inefficiencies you spot in proposed or existing protocol components.
Target · More than 5 distinct findings per quarter

You highlight a subtle re-entrancy bug in a new staking contract's design during a review, or you identify an economic incentive misalignment in a proposed governance mechanism.

Accuracy of Cryptoeconomic Simulation Results
How closely your simulation models predict real-world or theoretical behaviour, measured by the deviation from expected outcomes or formal proofs.
Target · Less than 5% deviation from established theoretical models or post-deployment observations

Your CadCAD model for a new fee market predicts a 3% change in transaction costs, and when implemented on a testnet, the actual change is 3.2%—that's a good result.

Timeliness of Literature Reviews and Summaries
The speed at which you can digest complex academic papers or new protocol specifications and provide a clear, concise summary for the team.
Target · Deliver summaries for new, critical topics within 3 working days of assignment

A new paper on a novel ZK-rollup construction drops on Monday; by Thursday, you've got a 2-page summary outlining its pros, cons, and relevance to our work.

Contribution to Internal Knowledge Base
The number and quality of your contributions to our internal Notion or Confluence pages, making your research accessible to others.
Target · At least 2 detailed research notes or protocol analyses per month

You've written a clear, comprehensive guide on 'Understanding Data Availability Layers' that the engineering team now points new hires to, saving them hours of explanation.

Clarity and Impact of Research Presentations
How well you can explain complex technical concepts to both technical and non-technical audiences, ensuring they grasp the 'so what' of your findings.
  • You'll know you're doing well when product managers start asking you for input on their roadmaps, or engineers come to you with design questions before they've even written a line of code. Feedback from your manager and peers will often mention 'easy to understand' or 'really helped me grasp X'. People will actually pay attention during your presentations, not just scroll on their phones.
Proactive Problem Identification
Your ability to spot potential issues or opportunities in our protocols or the wider ecosystem before they become urgent problems.
  • You're often the first to flag a new type of attack vector discussed in an obscure forum, or you'll point out a potential scaling bottleneck in a proposed design that no one else had considered. Your manager might say, 'Glad you caught that before we went down that rabbit hole!'
Quality of Peer Feedback and Collaboration
How effectively you collaborate with other researchers and engineers, providing constructive feedback and being open to receiving it.
  • Your code review comments are helpful and specific, not just 'this is wrong'. Other team members actively seek your input on their work. You're seen as someone who helps elevate the whole team's output, not just your own. You'll also take feedback on the chin and use it to improve, rather than getting defensive.

5Would you like it

The honest version. What people enjoy, and what grinds them down.

What people enjoy
Solving Hard, Uncharted Problems

You'll spend your days grappling with puzzles no one has fully solved yet, like how to make a protocol truly decentralised without sacrificing speed, or how to design incentives that prevent economic attacks. It's about pushing the boundaries of what's known.

Spending a week trying to model the behaviour of adversarial validators in a new PoS design, eventually finding a subtle flaw that could lead to centralisation.

Continuous Learning and Growth

Every day is a school day here. You'll be constantly reading new academic papers, dissecting novel protocols, and experimenting with new tools. The field is always evolving, and so will your knowledge.

Picking up a new formal verification language in your spare time because you see its potential for a current research project, even though it wasn't 'assigned'.

Impact on Real-World, High-Stakes Systems

Your research isn't theoretical for long. The insights you uncover will directly influence the design of systems that manage millions (or billions) of pounds and affect thousands of users. Your work has tangible consequences.

Seeing an engineering team incorporate your recommended changes to a smart contract, knowing that your analysis prevented a potential exploit.

What frustrates people
  • The 'Research-to-Production Chasm': Your brilliant idea gets stuck in limbo.
  • Hype-Driven Roadmaps: Chasing trends instead of fundamental problems.
  • Lost in Translation: Explaining complex tech to non-technical folks.
  • The Pace is a Grind: Constant pressure to keep up with a rapidly evolving field.
  • Political Horse-Trading: Seeing good ideas lose to internal politics.
  • The Messiness of Reality: Models breaking in the real world.
What this role does not give you
  • A predictable 9-to-5 routine with clear, unchanging tasks.
  • Immediate gratification for every piece of research you produce.
  • A quiet, isolated environment where you can just focus on pure theory without needing to explain or persuade.
  • A guarantee that all your work will make it into a shipping product.

6Who you work with

Your work directly underpins the technical decisions made by our engineering and product teams. You're essentially the 'proof' behind our protocol designs. Get it right, and we build secure, scalable, and innovative blockchain solutions. Get it wrong, and we risk significant technical debt, security breaches, or simply building something nobody wants to use.

Inside the business
  • Senior Blockchain Research Director (your manager)
  • Peer Blockchain Researchers (for collaboration and code reviews)
  • Protocol Engineering Team (they'll build what you research)
  • Product Managers (they'll tell you what problems need solving)
  • Security Team (to validate your threat models)
Outside the business
  • Academic Researchers (for staying current on papers)
  • Open-source Protocol Developers (for community contributions)
  • Industry Working Groups (for standards and best practices)

7What you need before you start

Not a wish list. The things you would be expected to already have.

  • A proven track record (2-5 years) in blockchain research, distributed systems, or a highly quantitative field (e.g., theoretical physics, quantitative finance) with a strong interest in blockchain.
  • Demonstrable experience in designing and running complex simulations or analytical models, ideally using Python.
  • A solid grasp of fundamental computer science principles, including data structures, algorithms, and distributed systems concepts.
  • The ability to read and understand academic research papers in cryptography, game theory, or distributed computing.
  • Experience contributing to open-source projects or publishing technical content (blogs, research papers) is a big plus.

8What to practise next

Where the job is going, and what to do about it starting this week.

Advanced Formal Verification Techniques

As protocols become more complex and the stakes higher, relying solely on testing isn't enough. Formal verification offers mathematical proof of correctness, eliminating entire classes of bugs. You'll need to understand how to apply these rigorous methods.

Model Checking (e.g., TLA+) · Theorem Proving (e.g., Coq, Lean) · Runtime Verification

  • This month: Complete an online introductory course on TLA+ or a similar model checker.
  • Month 2: Apply a model checker to a small, isolated component of one of our existing smart contracts.
  • Month 3: Read several research papers on formal verification of blockchain protocols to understand current best practices.
  • Month 4: Propose a small pilot project to formally verify a critical section of a new protocol design.

Quick win: Watch a few YouTube tutorials on formal verification. Just getting a feel for the concepts will help.

Decentralised Identity (DID) & Verifiable Credentials

Privacy and identity are becoming critical issues in the blockchain space. Understanding DID frameworks and verifiable credentials will be essential for designing compliant and user-friendly protocols that go beyond just anonymous transactions.

DID Specifications (e.g., W3C DID) · Verifiable Credentials (VCs) · Zero-Knowledge Proofs in DIDs

  • This month: Read the W3C DID specification's introduction and a few key papers on VCs.
  • Month 2: Experiment with a DID SDK (Software Development Kit) to create and resolve a simple DID.
  • Month 3: Research existing DID implementations in the blockchain space (e.g., Polygon ID, Spruce Systems).
  • Month 4: Write an internal analysis of how DID could enhance privacy or compliance in one of our current or future protocols.

Quick win: Follow key thought leaders and projects in the decentralised identity space on Twitter or LinkedIn. Stay informed about major developments.

9Staying current once you are in

What people here do to keep up
  • Regularly attend and present at blockchain conferences (e.g., EthCC, Devcon, Scaling Ethereum) or academic workshops (e.g., Financial Cryptography, Eurocrypt).
  • Actively contribute to open-source blockchain projects, even if it's just through code reviews or documentation improvements.
  • Participate in online communities and forums (e.g., Ethereum Research, specific protocol DAOs) to stay engaged with the latest debates and developments.
  • Dedicate time each week to reading new academic papers on ePrint or arXiv related to cryptography, distributed systems, and game theory.
  • Take advanced online courses or specialisations in areas like formal verification, advanced cryptography, or multi-agent systems.

10How the AI economy is changing work like this

Before we ask anything of you, here's what we can already say about AI and work of this kind:

The new skill this role is being asked for: Prompt Engineering & LLM Integration for Research

Honestly, competitors are already using GPT to draft initial research summaries or code comments in minutes that used to take hours. Analysts who figure this out will outproduce peers significantly. This isn't future-gazing; it's happening now.

We'll only ever tell you what we can actually back up. No hype, no scare tactics.

Your PlanIllustration

Built for Blockchain Research Director

2 units that map to this job, from the qualifications that cover it.

  1. Research skills for health and social careNCFE · covers 1 of 1 standardsLevel 3
  2. Research SkillsOCN London · covers 1 of 1 standardsLevel 3
These are the real units behind this job, in the order they rank for it. Nothing here is marked done, because this plan has not been started by anyone yet. Yours would fill in as you go.

The rising capability

Zavmo analysis

What's rising in its place

This is where the work is heading, and the higher pay with it. Get fluent here and the shift stops being a threat and starts being your edge.

Prompt Engineering & LLM Integration for Research

Honestly, competitors are already using GPT to draft initial research summaries or code comments in minutes that used to take hours. Analysts who figure this out will outproduce peers significantly. This isn't future-gazing; it's happening now.

  • Context Windows and Token Limits
  • RAG (Retrieval Augmented Generation) Architectures
  • Output Validation and Hallucination Detection
  • Prompt Chaining for Complex Analysis

Quantum-Resistant Cryptography Fundamentals

While 'quantum winter' might still be a few years off, the research community is already working on post-quantum cryptography. As a research director, you need to understand the basics of these new schemes to assess future protocol resilience and advise on long-term strategy.

  • Shor's Algorithm and Grover's Algorithm
  • Lattice-based Cryptography
  • Hash-based Signatures
  • Hybrid Cryptography

What you’ll use

Skills this role draws on

Technical

  • Cryptoeconomic Modeling
  • Mechanism Design & Game Theory
  • Consensus Algorithm Analysis
  • Zero-Knowledge (ZK) Proof Systems
  • Protocol-Level Threat Modelling

The pathway

How you actually get there, here

How you become one varies far more by country than what one does. This is the UK route. Most people take one of these ways in; the right one depends on where you're starting from.

  1. 1

    From Associate Protocol Researcher (L1)

    2-3 years

    Skills to master

    • Taking full ownership of research problems, designing independent simulations, presenting findings clearly, and starting to informally mentor junior team members.

    You're ready to move on when

    • Consistently delivers high-quality analysis and research outputs with minimal supervision.
    • Proactively identifies and proposes solutions to technical challenges.
    • Demonstrates a strong understanding of cryptoeconomic principles and can apply them in models.
    • Receives positive feedback on clarity of communication and ability to explain complex topics.
  2. 2

    From Academic Research (PhD/Postdoc)

    0-2 years (post-PhD)

    Skills to master

    • Translating academic rigour into practical, actionable insights for product development, working within commercial deadlines, and collaborating with engineering teams.

    You're ready to move on when

    • Can demonstrate how their academic work applies to real-world blockchain problems.
    • Shows an understanding of the trade-offs between theoretical perfection and practical implementation.
    • Exhibits strong programming skills beyond just academic prototyping.
    • Adapts quickly to a faster-paced, industry-driven research environment.
  3. 3

    From Software Engineer (with Blockchain Focus)

    3-4 years

    Skills to master

    • Deepening theoretical understanding of cryptography and game theory, moving from implementation to protocol design and analysis, and developing strong simulation/modelling skills.

    You're ready to move on when

    • Has built and deployed smart contracts or contributed to core protocol development.
    • Demonstrates a keen interest in the 'why' behind protocol designs, not just the 'how'.
    • Can articulate complex technical problems and propose research-driven solutions.
    • Has a strong desire to transition from pure engineering to a more research-focused role.

11Where this role leads

The long view:This isn't just a job; it's a journey. If you're passionate about pushing the boundaries of decentralised technology and want to build a career at the forefront of innovation, then this is the place for you. We're looking for someone who wants to grow with us and genuinely make their mark on the future of blockchain.

Pay & demand

Pay and demand for this role will appear here, each figure traced to a named authoritative source (e.g. the ONS Annual Survey of Hours and Earnings, under the Open Government Licence). We don’t show numbers we can’t attribute.

The ten Future Fluencies

Zavmo analysis

The credential is what you can do today. These are what keep you valuable.

A qualification proves you can do the job as it's defined today. These ten are what decide whether you're still the obvious person for it in five years. They're the capabilities employers are now writing into senior roles faster than people are learning them. Zavmo weaves them through whatever you study, so you come out with both: the credential and the fluency.

The highlighted ones are the Fluencies your role leans on hardest, from how Blockchain Research Director is actually changing. In about two minutes, the free confidence check asks where you stand on each of the ten. That's the whole check, and it's what makes the plan yours rather than generic.

Where it leads

Roles this leads to

12The team that's yours

No two people are taught the same way. This is one-to-one, not one-to-many.

Zavmo is a hyper-personalised AI learning platform. Twelve virtual tutors, each with a different way of teaching, and one orchestration agent that picks the right one for the moment. So every single lesson is shaped around you, your role, and the way you learn. Not a course everyone sits through. A conversation built for you, and no one else.

…and nine more, matched to you after your first chat. Meet all twelve

Start free and meet yours

13What it feels like

A conversation, not a course

Because your tutor knows your role, your projects and your last session, learning sounds like this. And it's different for every single person:

Research skills for health and social careLevel 3

Applied to your work in Blockchain Research Director

The objective of this unit is to enable learners to develop a comprehensive understanding of research principles and practices within the health and social care context. Learners will explore research approaches and methodologies, ethical considerations, and the key stages involved in planning, conducting, analysing, and presenting research. Furthermore, they will learn to reflect on the research process.

How the thinking builds
  1. Remember
  2. Understand
  3. Apply
  4. Analyse
  5. Evaluate
  6. Create
An illustration of a Zavmo lesson, built from this role’s own route. The unit, its objective and every criterion above are the awarding body’s own words, not an example.

One to one, not one to many

No two people run this the same way

A course is written once and handed to everyone. This is assembled around you, and keeps changing as it learns you. Five things it reads, and what each one changes.

  1. Your actual work Every lesson is taught against a live piece of your own work, not a worked example from a textbook.
  2. What you already know The first conversation finds your starting point, so you skip what you can already do and spend the time on what you cannot.
  3. The conditions you learn under Not a learning-styles quiz. The evidence does not support those. The dimensions the research does back, read once and used to shape the plan.
  4. How far you got last time It picks up mid-thought. The tutor knows what you said, what you struggled with, and what it asked you to try.
  5. Which tutor suits the moment Twelve of them, each for a different kind of thinking. The one who walks you through a first idea is not the one who stress-tests it.

See how you learn, free. Eight questions, no sign-up. A directional taster; the diagnostic inside Zavmo goes deeper and keeps adapting.

DemonstrateIllustration

Evidenced on your work in Blockchain Research Director

You do not finish by watching something. You finish by showing it on the work you already do, against the measures this job is judged on.

  • Vulnerabilities Identified in Protocol ReviewsThe number of minor or moderate security flaws, economic exploits, or design inefficiencies you spot in proposed or existing protocol components.You highlight a subtle re-entrancy bug in a new staking contract's design during a review, or you identify an economic incentive misalignment in a proposed governance mechanism.More than 5 distinct findings per quarter
  • Accuracy of Cryptoeconomic Simulation ResultsHow closely your simulation models predict real-world or theoretical behaviour, measured by the deviation from expected outcomes or formal proofs.Your CadCAD model for a new fee market predicts a 3% change in transaction costs, and when implemented on a testnet, the actual change is 3.2%—that's a good result.Less than 5% deviation from established theoretical models or post-deployment observations
  • Timeliness of Literature Reviews and SummariesThe speed at which you can digest complex academic papers or new protocol specifications and provide a clear, concise summary for the team.A new paper on a novel ZK-rollup construction drops on Monday; by Thursday, you've got a 2-page summary outlining its pros, cons, and relevance to our work.Deliver summaries for new, critical topics within 3 working days of assignment
  • Contribution to Internal Knowledge BaseThe number and quality of your contributions to our internal Notion or Confluence pages, making your research accessible to others.You've written a clear, comprehensive guide on 'Understanding Data Availability Layers' that the engineering team now points new hires to, saving them hours of explanation.At least 2 detailed research notes or protocol analyses per month
These are this job's own measures, with its own targets. Nothing is marked evidenced, because nobody has started this yet. Yours would fill in from the work you bring.

Your passport

This isn't a certificate you file away. It's a passport to the life you're designing.

Every credit you earn and every fluency you build adds up: evidence where it counts, carried with you. Zavmo keeps the map: where you are, where you're heading, and the next step, at your pace, around your life. From Blockchain Research Director to Senior Blockchain Research Director (L3), and whatever you decide comes after.

Level 3 · in progressAI Fluency→ Senior Blockchain Research Director (L3)→ your design
Where this takes you

This isn't just a job; it's a journey. If you're passionate about pushing the boundaries of decentralised technology and want to build a career at the forefront of innovation, then this is the place for you. We're looking for someone who wants to grow with us and genuinely make their mark on the future of blockchain.

See Your Progress GrowIllustration
Blockchain Research Director
  • Cryptoeconomic Modeling
  • Mechanism Design & Game Theory
  • Consensus Algorithm Analysis
  • Zero-Knowledge (ZK) Proof Systems
  • Protocol-Level Threat Modelling
This is your Mind Palace on learn.zavmo.ai. Every skill above comes from this role's own record, not an example borrowed from another job. A node lights up when you evidence it, and what you build stays yours between jobs. That is the part a course cannot do.

14The detail, folded away

Everything else the record holds

The career branches in full, how AI is already showing up in the day-to-day, and the questions people ask about this job. Here when you want them, out of the way while you decide.

Where it leads next, rung by rung

Where it leads

The career path, and where it branches

Blockchain Research Director is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

  1. Senior Blockchain Research Director (L3)

    3-5 years

    You'll move from owning specific research problems to leading entire research streams (e.g., L2 scaling, MEV mitigation). You'll be designing novel mechanisms, mentoring junior researchers more formally, and publishing original work that shapes our technical direction.

    • Novel Mechanism Design: Creating entirely new cryptoeconomic or consensus mechanisms.
    • Formal Verification Leadership: Overseeing formal verification efforts for critical protocol components.
    • External Representation: Presenting research at top-tier conferences and engaging with the wider academic community.
Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real, blockchain research is intense. There's a mountain of papers, endless data, and complex models to build. But what if you could offload some of the grunt work and focus on the truly hard, creative problems? Our AI Productivity Hub is here to help you do just that.

We're not talking about replacing your brain; we're talking about giving you a seriously powerful co-pilot. For a Blockchain Research Director, AI can dramatically cut down on the time you spend sifting through literature, spotting anomalies, or even drafting those tricky explanations for non-technical folks. It's about augmenting your intelligence, not replacing it.

Automated Literature Synthesis

Imagine feeding an LLM the last 50 papers on 'consensus algorithms' from ePrint and getting a concise summary of key innovations, open problems, and authors to watch in minutes. No more drowning in PDFs; get straight to the insights you need. This is a game-changer for staying on top of the field.

Anomaly Detection in On-Chain Data

Train a machine learning model to constantly monitor our protocol's on-chain data. It'll flag transaction patterns that look suspicious or deviate from the norm, potentially indicating an undiscovered economic exploit or a subtle smart contract bug. Think of it as having an always-on digital detective sifting through millions of transactions for you.

Generative Mechanism Design Ideas

Use a generative AI to propose novel variations for a known mechanism, like a new quadratic funding model or a different staking reward curve. The AI can churn out hundreds of parameterisations, which you can then rapidly test in your CadCAD simulation environment. It's like having a brainstorming partner that never runs out of ideas, speeding up your ideation phase by 2-3x.

Technical-to-Business Translator

Got a highly technical research paper or a dense protocol specification? Feed it into an LLM with a prompt like, 'Explain this to a non-technical CEO. Focus on the business implications, competitive advantages, and risks. Create a 5-slide PowerPoint outline.' This saves you hours of trying to simplify complex concepts for different audiences, making your research much more impactful.

Common questions

Common questions

How do you become a Blockchain Research Director?

Common routes in include From Associate Protocol Researcher (L1) (2-3 years), From Academic Research (PhD/Postdoc) (0-2 years (post-PhD)) and From Software Engineer (with Blockchain Focus) (3-4 years). Times vary with prior experience.

Where can a Blockchain Research Director progress to?

This role can lead on to Senior Blockchain Research Director (L3) (3-5 years), depending on the skills you build.

What level is a Blockchain Research Director in the UK?

This role aligns to RQF Level 3 on the UK framework, a guide to the depth of qualification it maps to, not a hard entry bar.

What new skills matter most for a Blockchain Research Director?

Increasingly, Prompt Engineering & LLM Integration for Research and Quantum-Resistant Cryptography Fundamentals. These are the areas where the higher-paid, future-proof work is heading.

The honest bit

You’ve started things before

Most of them were built for a room full of people who aren’t you. A cohort moves on whether or not your week allowed it, and by the third week the thing you’re behind on becomes the reason you stop opening it.

There’s no cohort here, and no timetable to fall behind. Before anything starts, Zavmo asks when you’re sharpest and how long you can realistically sit down for, then builds the sessions around those answers. A bad fortnight changes your pace. It doesn’t put you behind.

And you only pay once you start learning. Searching and planning are free, and you can cancel any time — so the cost of finding out is an afternoon, not a year.

What it costs

Less than one coaching session. Every month.

A single career-coaching hour costs more than a month of this, and it ends when the hour does. Zavmo doesn't. It's £70 a month, about £2.30 a day, for a companion that knows a Blockchain Research Director, works on the job you actually do, and keeps going at your pace rather than a timetable's.

  • Searching and planning stay free. You only pay when you start learning.
  • Your credits are yours. Regulated, and they don't vanish when a subscription ends.
  • Cancel any time and billing stops. No notice period, no minimum term.

Your path, personalised

You have the map. Walking it is the part we do together.

This route runs to 1 national skill standard. That is a real journey.

Zavmo shapes a learning experience as unique as you are. It fits how you learn, your pace and the work you already do. Every step stays benchmarked to recognised national standards. That’s the plan for becoming a Blockchain Research Director: personal to you, and it still counts. The first steps are free.

Independent research finds well-designed intelligent tutoring performs nearly as well as one-to-one human tutoring: VanLehn (2011), Educational Psychologist.

A private tutor in the UK averages £35–40 an hour . Zavmo is £70/month.

A real plan on learn.zavmo.ai: Ofqual-regulated units, credits, and a three-month run at your own pace.
Start free No commitment. See your first steps free.

15Where to go from here

Other roles at Level 3

Same depth of qualification, different job. Useful if the work appeals but this particular role does not.

Other roles in Technical roles

Stay in the field you know and move sideways rather than up.

If you leave this industry

The skills you'll build here—deep technical research, cryptoeconomic modelling, distributed systems expertise, and the ability to translate complex ideas—are highly transferable. You could move into core protocol development roles, security research, quantitative trading firms, or even venture capital focused on web3. The world is your oyster, frankly.

Not sure this is the right direction?

Work out what you actually want from work first, then come back and see which roles fit it. Takes about ten minutes.

This role profile is © 2026Growth Engineering Technologies Ltd. Built from UK occupational standards and regulated qualification data, and written for Zavmo.

You're not behind. You're right on time. The shift is only just beginning. Your role won't look the same in two years. Be the one who leads the change, not the one it happens to. Build my plan, free Here's the first ten minutes: a 2-minute confidence check → your personalised roadmap → meet the tutors matched to you. No card, cancel any time. No card. Build your plan, see your roadmap and meet the twelve tutors matched to you. All free. When you're ready to start learning, it's £70 a month, billed monthly. Cancel any time and billing stops.