Do you love building the systems and insights that help high-performing teams run? Are you energized by sitting at the center of a business - connecting the dots across sales, customers, and operations to drive smarter decisions and faster execution?
Rockbot is building the future of out-of-home media, and we need the operational horsepower to match. As our Revenue Operations Manager, you’ll sit at the center of our revenue engine, serving as a shared service and strategic partner to every team that touches the customer lifecycle. You’ll join our newly formed Business Systems function alongside our GTM Systems Engineering team, owning the analytical and operational layer that keeps our commercial and customer organizations aligned, efficient, and moving.
This role spans the full revenue journey: from pipeline and new business through order management, onboarding, customer success, support, renewals, and expansion. You’ll align Marketing, Sales, Customer Operations, Order Management, Customer Success, and Support through strong data infrastructure, reporting, and automation. We’re looking for someone who thrives at the intersection of people, process, and technology, and who is excited about how AI is transforming revenue operations to enable faster decision-making and more scalable execution.
You will:
Revenue Operations: Full Commercial & Customer Lifecycle
- Own and optimize revenue operations across the full customer lifecycle, from lead generation and sales through onboarding, customer success, and renewals, aligning systems, data, and workflows for scalability and efficiency.
- Lead delivery of data for revenue forecasting, reporting, and performance analytics, delivering clear visibility into pipeline health, bookings, expansion, and retention while equipping leadership with actionable insights for decision-making.
- Design and scale cross-functional operational infrastructure across Sales, Marketing, Customer Operations, Customer Success, Support, and Order Management, ensuring seamless processes, system integrations, and data flow across teams.
- Serve as a shared services partner to all commercial and customer-facing teams driving operational excellence across deal desk, quote-to-cash, and customer lifecycle processes, identifying automation opportunities and leveraging data and AI-driven insights to improve deal velocity, expansion opportunities, operational efficiency, and overall commercial performance.
- Evaluate, implement, and manage AI-powered revenue tools across the GTM and customer stack, including conversational intelligence (e.g., Gong), AI forecasting (e.g., Clari, SFDC Advanced Forecasting), prospecting/enrichment automation (e.g., UserGems, ZoomInfo) to improve deal execution and customer health visibility.
- Build AI-driven workflow automations that reduce manual overhead and improve operational discipline across commercial and customer teams (e.g., lead routing, pipeline hygiene, renewal risk signals, escalation triggers, and forecast rollups).
- Own GTM and customer data intelligence, integrating intent data, enrichment, product usage signals, and AI-scored insights to prioritize pipeline, expansion, and retention opportunities.
- Leverage AI copilots and agents to enhance analysis, surfacing patterns in pipeline performance, churn risk, and expansion signals that inform strategic decision-making.
- Drive AI adoption across Sales, Customer Success, Order Management, and Support, developing playbooks, enablement, and operating frameworks to embed AI in workflows.
Salesforce & Business Systems Partnership
- Serve as the business owner and power user of Salesforce, partnering with GTM Systems Engineering on administration, system enhancements, and technical development.
- Translate commercial and customer requirements into clear system solutions, defining process design, data structures, and reporting needs for the Business Systems team.
- Conduct user acceptance testing (UAT) and business validation for Salesforce enhancements to ensure solutions meet operational needs across GTM and customer teams.
- Maintain documentation for key business processes, data definitions, and reporting frameworks to ensure scalability, transparency, and cross-functional alignment.
- Support change management and adoption for new Salesforce capabilities, automations, and integrated tools across commercial and customer-facing teams.
You have:
- 4+ years of experience in Revenue Operations, preferably at a high-growth SaaS company, with exposure to both pre- and post-sale operations (Sales, CS, Support, or Order Management).
- Demonstrated experience working with AI-powered GTM tools (e.g., Gong, Clari, Clay, ZoomInfo, Outreach/Salesloft, or equivalents).
- Proven ability to leverage AI tools and automation platforms (e.g., Workato, Zapier, n8n, or Salesforce Flow/Agentforce) to build or improve operational workflows without heavy engineering support.
- Working knowledge of prompt engineering - ability to craft effective inputs for LLM-based tools to generate analysis, reports, playbooks, or content.
- 2+ years of Salesforce experience as a power user or business-side owner, with ability to write reports, manage views, and partner effectively with technical admins (declarative development experience a plus, but not the focus of this role).
- Strong expertise in forecasting, reporting, and analytics across the full revenue lifecycle (pipeline, bookings, renewals, NRR/GRR), with proficiency in BI tools such as Tableau, Looker, Power BI, Einstein Analytics, or Hex.
- Deep knowledge of Sales Cloud and the broader GTM and customer tech stack.
- Experience managing and evaluating 3rd-party SaaS tool integrations.
- Strong analytical and problem-solving skills, with a structured, data-driven approach.
- Excellent communication skills, with the ability to partner with executives and cross-functional teams spanning both commercial and customer-facing functions.
- Experience leading change management initiatives and enabling teams on new tools and processes.
- Strong project management skills, including experience managing system implementations and cross-functional workstreams.
- Passion for driving automation and improving real-time decision-making through technology - and a genuine curiosity about how AI is reshaping the revenue function.
Nice to Haves:
- Salesforce Advanced Administrator or Einstein Analytics certification.
- Hands-on experience with agentic AI workflows - building multi-step AI automations or agent sequences using tools like n8n, Relevance AI, or similar.
- Experience with AI-assisted forecasting platforms (Clari, Boostup, Aviso, or similar).
- Familiarity with data enrichment and intent platforms (ZoomInfo, 6sense, Demandbase, Bombora).
- Experience supporting post-sale operations such as Customer Success platforms (Gainsight, Totango, ChurnZero), support tooling (Zendesk), or order management/fulfillment workflows.
- Experience with revenue data infrastructure tools such as Snowflake, Fivetran, or dbt (conceptual understanding sufficient).
- Familiarity with JIRA, Gearset, or other DevOps tools for cross-functional project tracking.
- Understanding of Agile/SCRUM methodologies.
About Rockbot:
Rockbot is an omnichannel media platform committed to elevating customer and employee experiences while fostering stronger connections in real-world spaces. Rockbot addresses the challenges businesses face in media management with integrated solutions spanning music, TV, digital signage, and advertising. Its mission is to enrich on-premise experiences with media technology, where every interaction is elevated and memorable.
From independent local businesses to large national brands - across nearly every industry, including restaurants, bars, retailers, and more, Rockbot provides all the tools and licensed content businesses need. Backed by leading investors including Google and Universal Music Group, Rockbot is the future of out-of-home media. For more information visit www.rockbot.com.
Compensation:
Rockbot takes a market-based approach to pay, and pay may vary depending on your location in the U.S. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.
The base compensation band for this role is $100,000 - $130,000 plus equity and benefits for all team members.
Our Values:
- Drive: We pursue our mission with relentless tenacity, passion, and optimism and inspire those around us to do the same. We love the journey and are on offense all the time. Yesterday was good enough for yesterday, but today we have to do even better.
- Accountability: We take ownership of our promises, responsibilities, behaviors, and products, and we expect the same of others. Standing behind our mistakes, communicating honestly, and making things right creates trust and strong relationships.
- Curiosity: We are hungry to learn and continually deepen our knowledge, skills, and understandings. We have a growth mindset and are intellectually curious. We challenge our beliefs and seek feedback and insights from others. The “Why” and “How” always matters.
- Empathy: We embrace that no two people or businesses are the same. We strive to understand others as deeply as possible and feel their pains and passions.
- Ingenuity: We work hard but we think smart. We bring creativity, technology, and practicality together to solve tough challenges.
- Integrity: We say what we mean, and do what we say, simply, clearly, honestly.
Rockbot is an Equal Opportunity Employer, but that’s just the start. We believe different perspectives help us grow and achieve more. That’s why we’re dedicated to hiring and developing the most talented and diverse team – which includes individuals with different backgrounds, abilities, identities and experiences