Revenue AI & Automation Architect
Fonoa
| Company | Fonoa |
| Category | Data & Analytics |
| Location | London |
| Remote | Hybrid |
| Employment | Not stated |
| Level | Lead |
| Salary | Not stated by the employer |
| Posted | 18 Jun 2026 |
| Last verified | 9 Aug 2026 |
| Source | Employer ATS (ashby) |
Description
Revenue AI & Automation Architect
Build the Commercial Infrastructure Behind Autonomous Tax
Fonoa is the Tax Operating System for autonomous tax. AI that tracks every rule, acts on every obligation, and proves every decision, built on modular infrastructure.
Fonoa’s modules cover the full indirect tax lifecycle: tax ID validation, real-time tax determination, e-invoicing, and returns. All on one shared data model and integration, with one audit trail. Each added capability makes the others stronger.
Agents monitor obligations, populate returns, catch anomalies and assemble audit packs in seconds. The system does the work. Humans make the calls. That’s autonomous tax.
We operate across 120+ countries, with clients going live in weeks, if not days.
Trusted by Canva, Netflix, Spotify, Uber, Zoom and Booking.com http://Booking.com.
Find out more: www.fonoa.com http://www.fonoa.com
The Role
We're looking for a Revenue AI & Automation Architect to design and scale the systems that power Fonoa's go-to-market organisation.
This role combines GTM systems, automation, data architecture, and AI implementation. You'll work across Sales, Marketing, Customer Success, Partnerships, and Revenue Operations to improve how information moves through the business and automate work that teams currently do manually.
You'll own the architecture, integrations, workflows, and AI tooling that support our commercial teams. The goal is simple: build systems that scale, improve decision-making, and reduce operational complexity.
This is a hands-on role for someone who enjoys solving business problems through technology and wants to play a key role in how Fonoa grows.
What You'll Do
AI & Automation
- Build AI-powered workflows that automate account research, lead qualification, forecasting support, customer health analysis, and renewal preparation
- Connect AI models and automation tools to live business systems and operational data
- Identify repetitive processes that can be automated and implement solutions that deliver measurable productivity gains
- Evaluate emerging AI technologies and determine where they can create practical business value
GTM Systems & Architecture
- Design and maintain the systems architecture that supports our commercial organisation
- Build scalable workflows that separate data, business logic, and user experience
- Reduce tooling complexity, integration debt, and manual operational work
- Establish standards for system reliability, monitoring, and maintainability
Data & Integrations
- Own the design of the revenue data model across accounts, contacts, opportunities, customer lifecycle events, and revenue data
- Manage integrations between Salesforce, marketing platforms, data warehouses, enrichment providers, and AI tooling
- Ensure data quality, governance, and operational visibility across the GTM stack
- Create trusted data foundations that support reporting, automation, and decision-making
Business Partnership
- Translate commercial strategy into scalable systems and workflows
- Partner with leaders across Sales, Marketing, Customer Success, Partnerships, Finance, and Product
- Influence the tools we buy, the systems we build, and how automation becomes part of day-to-day execution
- Act as a technical partner to business stakeholders, balancing short-term needs with long-term scalability
What We're Looking For
Required
- 5+ years in GTM Engineering, Revenue Operations, Revenue Systems, Business Systems, or a similar technical role
- Strong Salesforce experience, with expertise extending beyond administration
- Experience designing and managing complex business system integrations
- Experience deploying AI-powered workflows, automations, agents, or model-driven applications into production environments
- Strong data modelling and systems design skills
- Ability to move comfortably between strategic planning and hands-on implementation
Strong Signals
- Ex