Revenue Operations Manager

Sona (getsona.com)

Revenue Operations Manager ensuring data integrity for revenue operations at an AI-native frontline workforce management startup. Owns GTM data architecture and integrations for reliable sales processes.

Posted 5/20/2026full-timeNew York City • New York • 🇺🇸 United StatesMid-LevelSenior💰 $140,000 - $180,000 per yearWebsite

Tech Stack

Tools & technologies

JavaScriptPython

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

Share options
20 days PTO + sick days
401k contributions, employer match up to 2%
Comprehensive health insurance available from day one (Cigna)
Enhanced parental leave & pay
Annual all expenses paid team retreats
The latest Macbook and equipment budget for your home office
Professional development budget
Unlimited free books

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

CRM administrationHubSpotdata architectureschema designobject modellingdata normalisationAPI integrationsPythonJavaScriptdata quality practices

Soft Skills

problem-solvingcommunicationcross-functional collaborationmethodical improvementdocumentationdata explanationtroubleshootingvendor managementadaptabilityteam scaling