Revenue Operations Manager

Sona•New York, NY

9d•$140,000 - $180,000•Hybrid

About The Position

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. You'll be responsible for how data flows across HubSpot, Gong, Lemlist, LinkedIn Sales Navigator, and the wider GTM stack: designing schemas, enforcing hygiene standards, building integrations, and ensuring our CRM is the single source of truth for the commercial team. As Sona scales its AI capabilities across the revenue function, the quality of that foundation becomes critical. AI is only as good as the data it sits on, and this role ensures ours is solid. This role sits within Revenue Operations, and works closely with Sales, Marketing + wider GTM org. It's a hands-on, technically deep role for someone who gets genuine satisfaction from well-structured data, clean integrations, and systems that just work.

Requirements

4+ years of hands-on experience administering and configuring CRM platforms, with HubSpot expertise
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 and debugging code or scripts to manipulate, transform, and migrate data (Python, JavaScript, or similar)
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
Familiarity with AI tooling and an understanding of how data quality 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)
Ability to diagnose complex data and system issues end-to-end: from root cause to resolution
Comfortable working in evolving, imperfect systems and improving them methodically over time
Able to clearly explain data and systems concepts to non-technical stakeholders
Comfortable working cross-functionally with Sales, Marketing, CS, and Product teams

Responsibilities

Own the architecture and administration of Sona's GTM data model: designing and maintaining properties, objects, associations, and lifecycle stages across HubSpot and connected systems
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