At Fanvue, one of Sunday Times' "Best Place to Work 2025", we empower creators to earn from their fans faster than ever before.
Our incredible team works daily to help creators and independent…
At Fanvue, one of Sunday Times' "Best Place to Work 2025", we empower creators to earn from their fans faster than ever before.
Our incredible team works daily to help creators and independent…
Scale claims: Homepage states >$500M in creator payouts and 200,000+ creators
Funding: Seed round announced Jun 1, 2024 (Crunchbase); public amount obfuscated
Company Overview
Problem Domain
Creator monetization and direct-to-fan commerce
Founded
2020
Industry
IT Services and IT Consulting
Funding Track Record
Seed- 2024-06-01
Crunchbase lists a Seed round announced Jun 1, 2024; public amount obfuscated; Crunchbase shows reported $30M pre-money valuation entry.
Founders
What we do
Join the Team
Staff Software Engineer
RemoteGB
Remote • GB
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Fanvue is one of the fastest-growing creator monetisation platforms globally. We're an AI-powered, creator-first platform helping creators connect, engage, and earn directly from their audiences at scale. Following our recent Series A, Fanvue has surpassed $100M+ in annual recurring revenue, with triple-digit year-on-year growth, supporting hundreds of thousands of creators and millions of fans worldwide.
We're hiring a Staff Software Engineer with extensive experience building systems at scale. This is a role for someone who has already solved the hard problems — scaling real-time systems, decomposing monoliths, building reliable infrastructure for millions of users. You'll tackle engineering challenges that other companies have faced before, where your experience lets us skip the learning curve and go straight to execution. AI is transforming how we build software, and you'll be at the centre of that shift.
🎯 The Role
You'll own
technical initiatives
that directly impact
platform scalability and reliability
at a company growing at triple-digit rates. Our stack is currently on PostgreSQL and moving to an
event-driven architecture
. You'll lead the
monolith-to-services decomposition
, optimise databases for
high-throughput workloads
, and build the
AI infrastructure
(vector stores, embedding pipelines, LLM orchestration) that powers our product. Beyond execution, you'll be a
bar raiser and mentor
, and your presence will elevate the engineers around you.
🚀 What You'll Do
👀 Who You Are
✨ You'll Thrive Here If
You want to apply your experience where it will have immediate, visible impact
You enjoy being the person others turn to for hard problems
You care about building systems that last, not just shipping features
You are motivated by mentoring and raising the bar for teams
You are excited about the intersection of AI and platform engineering
⚠️ You'll Struggle Here If
You prefer management or strategy over hands-on engineering
You are not comfortable owning reliability and on-call responsibilities
You see mentoring as outside your job description
You are resistant to AI tools changing how engineering works
🌍 Why Join Fanvue
Impact at scale: Fanvue supports hundreds of thousands of creators and millions of fans globally
AI-native engineering: we are not bolting AI on. It is core to our product and how we build
Proven IC track: this is a company that values deep technical excellence, not just management progression
Series A momentum: triple-digit growth means the problems you solve today define the platform for years
World-class engineering team: work alongside engineers who have shipped at scale across leading tech companies
⭐ Fanvue is for Everyone
We believe the best teams are built on diversity of thought, background, and experience. We welcome applications from everyone regardless of gender, ethnicity, sexual orientation, religion, disability, or age. What matters to us is potential, mindset, and what you will build.
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Lead technical initiatives that directly impact
platform scalability and reliability
Scale our systems from PostgreSQL to
event-driven architecture
, designing for
tens of millions of MAU
Drive
monolith-to-services decomposition
using proven patterns you have executed before
Design and implement
database optimisation
strategies for
high-throughput workloads
Build and scale
AI infrastructure
, including vector stores, embedding pipelines, and LLM orchestration
Architect systems for
AI-powered features
, including automated chat, content moderation, and recommendations
Use
AI coding tools
(Cursor, Claude Code) to accelerate delivery and help define team standards
Build platform primitives that enable other teams to ship faster
Mentor engineers across the organisation through code reviews, design sessions, and pairing
Contribute to architecture decisions and technical strategy
Participate in
incident response
and drive reliability improvements
10+ years
of hands-on software engineering experience building and shipping at scale
Proven track record with
distributed systems
serving
tens of millions of MAU
Deep expertise in
TypeScript, Node.js, Go, and AWS
Strong experience with
PostgreSQL at scale
, including query optimisation, partitioning, and replication
Experience with
service-oriented architectures
and decomposition patterns (Strangler Fig, domain-driven design)
Familiarity with
AI and ML infrastructure
, including vector databases, embeddings, and LLM APIs
Fluent with
AI-assisted development tools
and keen to help teams adopt them effectively
A natural mentor who elevates other engineers through example, not authority
Strong communicator who can translate complex technical concepts for any audience