Vitesse

Fintech

GTMEngineer(RevOps)

£70–95k ~AI est. London, England, United Kingdom; Manchester, United Kingdom
The Brief

“GTM Engineer (RevOps) at Vitesse. Skills: GTM Systems, RevOps, Automation, AI. Own and evolve connectivity across GTM tooling ecosystem. Design scalable workflows to improve customer understanding, acquisition,”

What You'll Achieve.

GTM systems are scalable, integrated, and easy to use; Significant reduction in manual processes through automation; Improved data quality and visibility across revenue funnel; Commercial teams are better enabled, more efficient, and more data-driven; Clear linkage between product usage and revenue performance

Industry & Context.

Fintech
Problems you'll solve

Problem-solving mindset

What They're Looking For.

Must Have

Experience in RevOps, Sales Ops, Growth, or GTM systems role, Experience working cross-functionally with Commercial, Product, and Engineering teams, Experience with CRM systems (e.g. Salesforce), Comfortable working with native integrations, APIs, and automation tools, Ability to evaluate and implement AI solutions, Understand how sales funnels, pipelines, and revenue models work, Ability to prioritise work based on business impact, Comfortable working with senior stakeholders

Nice to Have

Exposure to high-growth startup/scale-up environments, Fintech experience preferred, Experience with low/no-code tools (e.g. Zapier, Make), Scripting experience (e.g. SQL, Python)

What You'll Do.

Own and evolve connectivity across GTM tooling ecosystem

Design scalable workflows to improve customer understanding

Identify inefficiencies and implement automation to reduce manual

Build reusable systems

Develop and optimise native integrations across GTM tools

and scripting for technical

Automate seller workflows

Partner closely with Engineering on technical builds and

Identify opportunities to apply AI across GTM funnel

Build and implement AI-driven workflows

Partner with Commercial teams to embed AI into

and optimise AI-led initiatives

Support defining best practices for deploying AI responsibly

Work closely with Sales

Translate GTM needs into scalable system and process

Enable teams with better data

Drive adoption through training

and conversational signals into deal

Bridge gap between product usage data and commercial

Define and maintain scoring models and decision logic

Support development of product-led or data-driven GTM strategies

Support building analytics and reporting for pipeline

Ensure data quality and consistency across systems

Support analytics and reporting team with actionable insights

How You'll Work.

Team & Collaboration

Partnering with Commercial, Marketing, Product, and Engineering teams; Cross-functional collaboration; Work with Sales, Partnerships, and Customer teams; Partner with Engineering; Partner with Commercial teams; Work closely with Sales, Partnerships, and Customer Success

Communication Scope

Translate technical concepts

Free ATS check

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