Revenue Operations Specialist

About the role

The Revenue Operations - Systems & Data role at Sona will own the integrity, architecture, and administration of our go-to-market data foundation. This is the role that makes sure our revenue engine runs on clean, trustworthy, well-structured data, and that every system in our GTM stack talks to every other system reliably.

Responsibilities

• Maintain and administer Sona's GTM data model day to day: properties, objects, associations and lifecycle stages across HubSpot and connected systems, under the direction of the Head of RevOps
• Build and maintain integrations between GTM platforms (HubSpot, Gong, Lemlist, Sales Navigator, Cognism, Planhat, and others), ensuring data flows reliably and bi-directionally where needed
• Enforce data quality standards across the CRM: deduplication, enrichment, validation rules, and ongoing hygiene programmes to keep our contact, company, and deal data trustworthy
• Design and maintain reporting infrastructure: dashboards, custom reports, and data views that give revenue leaders accurate, timely visibility into pipeline, conversion, and attribution
• Build and manage workflow automations in HubSpot and n8n that reduce manual work for the commercial team while maintaining data integrity
• Support the development of a reliable data foundation that AI tools and agents can build on, working closely with the Growth AI Engineer to ensure systems are structured for programmatic access
• Document system architecture, data dictionaries, integration maps, and operational standards so the team can scale without tribal knowledge
• Troubleshoot and resolve system issues, integration failures, and data discrepancies quickly and methodically
• Evaluate and onboard new GTM tools as needs evolve, managing vendor relationships and technical implementation

Requirements

• At least 2-4 years of hands-on experience administering and configuring CRM platforms, ideally HubSpot
• Strong understanding of data architecture principles: schema design, object modelling, data normalisation, and relational data structures
• Experience building and maintaining system integrations using APIs, middleware (e.g. n8n, Zapier, Make), or native connectors
• Comfortable writing or debugging simple scripts to manipulate or transform data (Python, JavaScript or similar) is a plus
• Experience with data quality tooling and practices: deduplication, enrichment, validation, and hygiene automation
• Familiarity with reporting and analytics tools: building dashboards and custom reports that revenue teams actually trust and use
• Active, fluent use of AI tools in your own work, and a clear understanding of why clean, structured data underpins AI effectiveness
• Solid understanding of B2B SaaS sales cycles, marketing funnels, and how data supports revenue operations
• Hands-on experience with GTM platforms beyond CRM (e.g. Gong, Lemlist, Sales Navigator, Cognism, ZoomInfo, Clay, Planhat)
• Comfortable working in evolving, imperfect systems and improving them methodically over time
• Able to clearly explain data and systems concepts to non-technical stakeholders
• Able to work cross-functionally with Sales, Marketing, CS, and Product teams

Benefits

• Salary: $100k - $120k
• Hybrid: New York City, minimum 2 days a week in office (3 preferred)
• Share options
• 20 days PTO + sick days
• 401k contributions, employer match up to 2%
• Comprehensive health insurance available from day one
• Enhanced parental leave & pay
• Annual all expenses paid team retreats
• New York City, New York