Revenue Strategy & Operations in Annan Water, Scotland at Jobgether
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Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Revenue Strategy & Operations based in United Kingdom.
This is an opportunity to play a key role in scaling go-to-market operations within a fast-growing AI technology environment. You’ll sit at the intersection of technical problem-solving, data, and operational excellence, building systems that help revenue teams execute with greater precision. You’ll partner closely with sales, data, product, and functional leadership to improve processes and accelerate growth. Your work will span automation, analytics, experimentation, reporting, and strategic decision-making. You’ll act as a trusted advisor to a dedicated go-to-market function, such as SDRs, AEs, Partnerships, or Account Management. The environment is highly autonomous, fast-paced, and focused on measurable impact, with minimal bureaucracy and a strong culture of excellence.
- Build, maintain, and optimize end-to-end processes, automations, and standardized workflows that improve efficiency, consistency, and adoption across go-to-market teams.
- Partner with cross-functional stakeholders to design and implement initiatives that strengthen revenue generation and operational effectiveness.
- Act as a strategic partner to leadership, translating business performance data into actionable insights, recommendations, and priorities.
- Develop, test, and scale new ideas, workflows, and operational approaches to improve critical performance levers within the assigned functional area.
- Own analytics and performance analysis for the supported go-to-market function, identifying opportunities for acceleration and continuous improvement.
- Design and manage dashboards, reports, KPIs, and other analytical tools that enable teams to monitor performance and make informed decisions.
- Use data, experimentation, and automation to continuously improve revenue operations and support scalable growth.
- 4+ years of experience in Revenue Operations, ideally within a high-growth technology company.
- Demonstrated experience developing and implementing end-to-end operational solutions, from data collection and analysis through execution.
- Strong problem-solving ability, with a structured approach to breaking complex challenges into clear, actionable steps.
- Advanced analytical skills, including strong SQL expertise and experience with business intelligence and data visualization tools such as Sigma.
- Excellent communication and collaboration skills, with the ability to influence and work effectively across multiple functions and levels of an organization.
- Highly adaptable, proactive, and comfortable operating in a rapidly changing environment.
- Strong sense of ownership, initiative, and autonomy, with a willingness to take on challenges and continuously improve processes.
- High standards for quality and execution, combined with a first-principles mindset and strong attention to detail.
- Coachable, curious, and motivated to learn new technologies, approaches, and business domains.
- Genuine interest in AI and emerging technology, with enthusiasm for working on products that can have broad human impact.
- Remote-first working environment with flexibility based on talent rather than location.
- Collaboration with a truly global team spanning 30+ countries.
- Structured asynchronous ways of working designed to maximize impact and minimize unnecessary meetings.
- High-velocity environment with rapid experimentation, lean teams, and minimal bureaucracy.
- Opportunity to work alongside leaders and specialists shaping the future of AI.
- Strong opportunities for professional growth and the ability to expand your impact beyond your immediate responsibilities.
- Annual discretionary stipend dedicated to learning and professional development.
- Annual discretionary stipend to support in-person meetups with colleagues.
- Annual company-wide offsite in a new international location each year.
- Monthly co-working stipend for employees who are not located near a main office hub.
- Opportunity to contribute to innovative AI products serving millions of users and thousands of businesses worldwide.