3 billion people across the world work in frontline jobs. Yet, despite rising costs and staff shortages, frontline organisations

are still left to choose between paper, Excel, and WhatsApp, or decade-old workforce management solutions to take care of the most

important part of their businesses - their people.

Enter Sona: the next generation of AI-native, frontline workforce management. We’ve built an end-to-end platform covering

Scheduling, HR, Payroll, and Communications that gives the largest frontline organisations everything they need to staff more

intelligently and empower their teams.

In under 5 years, we've already made a deep impact on the lives of over 100k frontline workers and the operation of their

organisations, grown the team to 140+, and secured over $100M in funding from notable VC's, including our Series B led by N47

alongside Felicis, Northzone, and Gradient Ventures (Google).

It’s a hugely exciting time to be joining the team as we’re still small enough that you’ll have a significant impact on the

company’s growth trajectory and culture, yet large enough to have a great structure, experienced leaders and world-class benefits

in place.

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.

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.

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

Technical skills

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

GTM & business understanding

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

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

The latest Macbook and equipment budget for your home office

Professional development budget

Unlimited free books

New York City, New York #lihybrid

Note: this represents a typical benefits package for a US-based, full-time employee. Exact details may vary based on location and

employment type but we try to be as fair as possible to all of our team members. Please ask your contact in the Talent team to

clarify the available benefits for you.

Roll

Revenue Operations Specialist

Plats

Hybrid - New York

Publicerad

9 juni

Sista ansökningsdag

17 augusti

Källa

Arbetsgivarens hemsida

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