Revenue Operations Manager [In Person, SF]

As a Revenue Operations Manager at Recall.ai, you will be responsible for overseeing CRM hygiene, enhancing forecasting models, analyzing pipeline data, and creating dashboards to track key sales metrics. Additionally, you will work on process optimization and ensure the integrity of our data management, all while collaborating across departments to support sales enablement and operational efficiency.

To be a successful candidate for the Revenue Operations Manager role at Recall.ai, you should have at least 3 years of experience in RevOps or Sales Ops within a SaaS environment. Proficiency in SQL, as well as experience with CRM systems like Close or HubSpot, is required. You'll also need solid analytical skills and a background in sales enablement practices.

The Revenue Operations Manager will play a crucial role in driving revenue at Recall.ai by optimizing sales processes, establishing effective forecasting, and managing the sales tech stack. The insights provided through reporting and analytics will inform key business decisions and contribute to operational efficiencies that boost overall sales productivity.

The Revenue Operations Manager role at Recall.ai requires you to be in the office four days a week, with the requirement of five days during the initial ramp-up period. This in-office presence is essential for collaboration and building relationships within the team as the company grows.

Yes, there is significant potential for career advancement as a Revenue Operations Manager at Recall.ai. As the first hire in the RevOps team, you will establish the foundational processes for the company and have a pathway to transition into leadership roles as the team scales and the company continues to grow.

In your response, emphasize your hands-on experience with specific CRM platforms, detailing how you've managed CRM hygiene, automated processes, and ensured data accuracy in previous roles, particularly focusing on how those experiences will help you optimize our systems at Recall.ai.

Share your systematic approach towards developing accurate forecasting methods, aligning assumptions with sales leadership, and any tools or techniques you've employed in the past to improve forecasting reliability, showcasing how this could enhance Recall.ai's revenue operations.

Give a specific example that illustrates your problem-solving skills, detailing the steps you took from identifying the issue, analyzing its root cause, and the solution you implemented, including the positive outcomes it led to for your previous employer.

Discuss various sales enablement strategies you are familiar with, such as creating training materials, collaborating with marketing on lead generation, and how these strategies can be tailored to the unique needs of Recall.ai's sales teams.

Explain the importance of data integrity, detailing the procedures you’ve implemented in past roles to ensure accurate data management, as well as continuous improvement and quality checks, and how this will be applied at Recall.ai.

Highlight your technical skills in data visualization and analytics tools, discussing how you've utilized these tools to create insightful reports that drive business decisions and how you would apply similar analytics practices at Recall.ai.

Describe your experience managing a sales tech ecosystem, detailing how you’ve recommended enhancements, ensured tool integrations, and optimized workflows, while suggesting ideas for tech stack improvements that can support Recall.ai's growth.

Outline your approach to conducting root cause analyses, including the tools and techniques you rely on, and provide an example of how identifying a root cause has led to significant process improvements in previous roles.

Discuss your teamwork approach, emphasizing how you foster collaboration among departments such as sales, marketing, and finance, detailing specific communication strategies or tools you use to ensure everyone is aligned on objectives.

Share your strategies for staying informed about industry trends in revenue operations, such as attending workshops, participating in relevant webinars, or following thought leaders in the field, and how this knowledge can be beneficial for Recall.ai.