Head of RevOps - Remote

Zyte
Leeds
1 year ago
Applications closed

Related Jobs

View all jobs

Head of BI Business Intelligence and Data

Head of Business Intelligence & Reporting

Head of Business Intelligence & Data Analytics

Deputy Head of Business Intelligence

Data Engineer

Senior Data Strategy Consultant, Marketing Solutions

At Zyte, we eat data for breakfast and you can eat your breakfast anywhere and work for Zyte. Founded in 2010, we are a globally distributed team of over 240 Zytans working from over 28 countries who are on a mission to enable our customers to extract the data they need to continue to innovate and grow their businesses. We believe that all businesses deserve a smooth pathway to data.

For more than a decade, Zyte has led the way in building powerful, easy-to-use tools to collect, format, and deliver web data, quickly, dependably, and at scale. And today, the data we extract helps thousands of organizations make smarter business decisions, secure competitive advantage, and drive sustainable growth. Today, over 3,000 companies and 1 million developers rely on our tools and services to get the data they need from the web.

Reporting to the CRO, you will lead and grow a RevOps team, shaping strategy, selecting technology to optimize our revenue generating processes. You will partner with our  Go-To-Market (GTM) .leadership to design and enforce the right sales processes and pipeline building workflows to drive efficiency and alignment across our GTM teams.

Beyond implementing the right tools and processes for efficiency, you'll collaborate across functions to drive alignment and identify the most impactful revenue optimizations. As the go-to leader for Sales, Customer Success, and Marketing, you will play a key role in driving revenue growth, improving operational efficiency and devising creative plans to support our business. 

Requirements

Roles & Responsibilities:

Team Leadership & Operations

  • Lead and grow the Revenue Operations team, overseeing planning, execution, forecasting, reporting, pipeline management, and strategic analysis across Sales, Marketing, and Customer Success.
  • Ensure high levels of quality, accuracy, and process consistency.

Systems & Data Management

  • Own the CRM and wider data architecture for GTM execution and reporting, Optimize all sales, CS, and marketing tools, with Salesforce (SFDC) as the central hub.
  • Evaluate, implement, and improve systems to enhance efficiency and data integrity.
  • Monitor and analysis metrics across the full revenue cycle. Build and rollout dashboard to show performance, trends and opportunities. 
  • Prepare operational reporting for GTM team. Present regular reports to leading highlighting issues and opportunities. Drive the GTM operational cadence. 

Forecasting & Strategic Planning

  • Develop and maintain reliable forecasting processes, ensuring alignment with Sales Leadership.
  • Drive annual planning, including budget goals, headcount models, territory planning, and variable compensation design, in partnership with Finance.
  • Manage budget performance and drive continuous process improvements.

Process Optimization & Cross-Functional Alignment

  • Design and refine processes for lead handoff, sales execution, marketing campaigns, and customer success strategies.
  • Support leadership with insights on pipeline, forecasts, retention, and revenue trends.
  • Ensure collaboration across teams to maximize efficiency and performance.

Strategic Projects & Execution

  • Lead and execute key strategic initiatives, such as ABM and Outbound, new GTM routes
  • Identifiy and drive change which delivers real business growth. 


Requirements:

Experience & Leadership

  • 7+ years in Revenue Operations, Sales Operations, or Strategic Sales roles within fast-paced, high-growth SaaS environments.
  • 4+ years leading an operations team, with proven ability to build and develop high-performing teams.

Problem-Solving & Decision-Making

  • Skilled in diagnosing and resolving complex issues while balancing immediate priorities and long-term needs.
  • Strong organizational and prioritization skills to effectively lead teams and drive initiatives.

Analytical & Technical Expertise

  • Excellent analytical skills to process large datasets and simplify insights for decision-making.
  • Deep understanding of SaaS KPIs, end-to-end revenue management, and reporting best practices.
  • Proficiency in BI tools (e.g., Tableau) is a plus.

Systems & Tools Proficiency

  • 5+ years of hands-on Salesforce experience, including admin capabilities (validation rules, process builders, object design, reporting).
  • Strong familiarity with sales and marketing tools; working proficiency in marketing automation platforms preferred.

Collaboration & Communication

  • Effective interpersonal and communication skills with a strong ability to lead cross-functional teams.

Benefits

By joining the Zyte team, you will:

  • True remote working - we believe great work can happen anywhere.
  • We pride ourselves in our strong remote culture.
  • We are building something great together - join our passionate, ambitious team in a fast-paced environment where you are valued 
  • If you want to make an impact and be part of something exciting, we would love to meet you! 

At Zyte, we value diversity and flexibility. As a fully remote company since 2010, we’re ready to adjust our processes to meet your unique needs. If you need assistance during the application process, please contact our Talent team.

Learn more about us on ourMeet Zytepage.

We are an equal opportunity employer, considering all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, disability status, or any other protected characteristic. We are committed to a welcoming and supportive environment for everyone. We look forward to learning more about you and exploring how we can grow together!

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.