At a Glance
- Tasks: Own HubSpot and design lead scoring models to optimise sales processes.
- Company: Join a fast-growing startup revolutionising AI visibility for brands.
- Benefits: Competitive salary, direct access to leadership, and no bureaucracy.
- Other info: Dynamic startup environment with excellent growth opportunities.
- Why this job: Be a pioneer in a new category and make a real impact.
- Qualifications: 3-5 years in Revenue Operations with strong HubSpot experience.
The predicted salary is between 59400 - 72600 £ per year.
Appear is building the infrastructure that helps brands get cited by AI: Chat GPT, Perplexity, Google AI Overviews, Gemini.
We're early, we're growing fast, and we need someone who can sell a category that didn't exist two years ago.
Context
Search is shifting.
When someone asks Chat GPT which law firm, clinic, or software to use, the brands that get cited win the business, and most companies have no idea whether they're showing up.
Appear fixes that.
We measure AI visibility, identify the gaps, and build the content infrastructure to close them.
- Tasks
- Own Hub Spot end-to-end: configuration, workflows, custom objects, pipelines, permissions, and data hygiene across Marketing Hub, Sales Hub, and Service Hub.
- Design and maintain account and lead segmentation models that reflect our multiple GTM motions, ensuring each segment is routed and worked correctly.
- Build and own lead routing logic, territory, round-robin, and rules-based that runs cleanly across concurrent motions and avoids conflicts or leakage.
- Design, implement, and continuously tune lead scoring models (fit + engagement) that reflect the different buying signals across each motion.
- Design and maintain lifecycle stages and scoring models that align Marketing, Sales, and Customer Success and Product-Led Growth.
- Build and maintain dashboards and reports that give leadership real-time visibility into pipeline, funnel conversion, and revenue performance across all active motions.
- Partner with Sales and Marketing leadership to identify process gaps and implement scalable solutions inside Hub Spot.
- Own integrations between Hub Spot and the rest of the GTM stack (e. g.
Slack, Lemlist, Instantly, Linked In Sales Navigator, billing/finance systems), evaluating and onboarding new tools as our needs evolve.
- Use AI-powered enrichment and automation tools to keep contact, account, and pipeline data continuously updated, deduplicated, and accurate reducing manual data entry across the GTM team.
- Establish and enforce data governance standards deduplication, field standardization, and enrichment processes.
- Support quota and territory planning, forecasting, and compensation reporting with clean, reliable data.
- Train and support end users across the GTM org on Hub Spot best practices.
Requirements
- 3-5+ years in Revenue Operations, Sales Operations, or Marketing Operations, with deep hands-on Hub Spot experience (admin-level required; Hub Spot certifications a plus).
- Proven experience building and maintaining Hub Spot workflows, custom properties, reporting, and pipeline automation.
- Hands-on experience designing segmentation, lead routing, and lead scoring models, ideally across more than one GTM motion running at once.
- Comfort operating in a multi-motion environment, balancing sometimes-competing requirements from PLG, sales-led, and/or partner motions within a single system.
- Strong SQL or spreadsheet skills for data analysis; experience with BI tools (Looker, Tableau, or similar) a plus.
- Familiarity with the broader GTM tech stack (Slack, Gong, Linked In Sales Navigator, Zapier/Workato, or similar) and experience integrating new tools into Hub Spot.
- Experience using AI-powered enrichment or automation tools (e. g., Clay, Zoom Info, Apollo, or similar) to keep CRM data fresh and accurate at scale.
- A systems-thinking mindset: You can see how a single field change ripples across the whole funnel.
- Excellent cross-functional communication; you can translate between technical systems and business needs.
- Comfortable working in a fast-paced, evolving startup environment.
Real category upside. GEO is where SEO was in 2004. You're early enough to matter.
Founders in the room. Direct access to the CEO, CRO, CMO, and GTM. No bureaucracy between you and decisions.
We're not looking for someone to fill a seat.
We're looking for someone who looks at a category that barely exists, sees the opportunity, and wants to be the person who figured out how to sell it.
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RevOps Manager employer: Appear
At Appear, we are not just building a company; we are creating a pioneering category in AI visibility. Our dynamic work culture fosters innovation and collaboration, providing employees with ample opportunities for professional growth and development. Located in a fast-paced environment, we offer competitive benefits and the chance to be at the forefront of a transformative industry, making us an exceptional employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land RevOps Manager
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Appear!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace RevOps Manager
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Appear, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Appear
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Appear’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
