RevOps Manager

Appear; Greater London; On-site; Confidential; Full time

Job summary

Appear is building the infrastructure that helps brands get cited by AI. We’re early, growing fast, and need someone to own HubSpot end-to-end and drive a data-driven RevOps program across Marketing, Sales, and Customer Success.

You will design segmentation, lead routing, and scoring models, and build dashboards to give leadership real-time visibility into pipeline and revenue performance. This role partners with GTM leadership and requires hands-on HubSpot expertise.

Qualifications

• 3–5+ years in Revenue/Sales/Marketing Operations with hands-on HubSpot admin experience.
• Experience building workflows, properties, reporting, and pipeline automation.
• Comfort operating in multi-motion GTM environments (PLG/sales/partner).
• Familiarity with GTM tech stack and AI-enabled enrichment tools.

Responsibilities

• Own HubSpot end-to-end: configuration, workflows, custom objects, pipelines, permissions, and data hygiene.
• Design and maintain account/lead segmentation models reflecting multiple GTM motions.
• Build and own lead routing logic, territory, and rules-based routing across motions.
• Design, implement, and tune lead scoring models reflecting buying signals across motions.
• Design and maintain lifecycle stages and scoring models aligning Marketing, Sales, CS, and PLG.
• Build and maintain dashboards/reports for real-time pipeline visibility across motions.
• Partner with Sales/Marketing leadership to identify process gaps and scalable solutions.
• Own integrations between HubSpot and GTM stack; evaluate/onboard new tools.
• Use AI-powered enrichment and automation to keep CRM data clean and accurate.
• Establish data governance standards for deduplication and enrichment processes.
• Support quota/territory planning, forecasting, and compensation reporting.
• Train and support GTM end users on HubSpot best practices.

Skills

HubSpot admin

Revenue Operations

Data analysis

Cross-functional comms

Startup environment

Tools

HubSpot

Looker/Tableau

Slack

Gong

LinkedIn Sales Navigator

Zapier/Workato

Job description

Appear is building the infrastructure that helps brands get cited by AI: ChatGPT, 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 ChatGPT 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 HubSpot 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 HubSpot.
• Own integrations between HubSpot and the rest of the GTM stack (e.g. Slack, Lemlist, Instantly, LinkedIn 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 HubSpot best practices.

Requirements

• 3-5+ years in Revenue Operations, Sales Operations, or Marketing Operations, with deep hands-on HubSpot experience (admin-level required; HubSpot certifications a plus).
• Proven experience building and maintaining HubSpot 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, LinkedIn Sales Navigator, Zapier/Workato, or similar) and experience integrating new tools into HubSpot.
• Experience using AI-powered enrichment or automation tools (e.g., Clay, ZoomInfo, 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.