Labelbox is the data factory for generative AI, providing the highest quality training data for frontier and task-specific models. Labelbox’s comprehensive platform combines on-demand labeling services with the industry-leading data labeling platform. The Boost labeling service is powered by the Alignerr community of highly-educated experts, who span all major languages and a diverse range of advanced subjects. They are available on-demand to rapidly generate new data for supervised fine-tuning, RLHF, and more. Labelbox’s software-first approach delivers unmatched control and transparency into the labeling process, leading to the generation of high-quality, consistent data at scale.
Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs.
About the Role
This is an exciting opportunity to join the Finance team at Labelbox. As a Revenue and Sales Operations Manager, you will optimize the processes and technology stack that drive revenue generation within our organization. You will collaborate closely with sales, marketing, finance, business technology manager, and post-sales teams to ensure alignment and efficiency across all revenue-generating functions. You will provide a complete picture of Revenue, Business, and Customer Data.
Your Day to Day
Deal Desk:
- Streamline approval workflow and deliver deal desk efficiency by unblocking bottlenecks with a purposeful workflow to manage all cross-functional stakeholders.
- Manage quoting, price list (SKUs) and services rate card (Labeling & Solution AI).
- Create and lead Deal Desk calls with all stakeholders.
- Manage the CPQ approval process; First line of involvement with Legal & Finance.
Sales Process Optimization:
- Analyze and optimize the sales process to maximize efficiency and revenue generation.
- Develop and document sales processes, guidelines, and best practices.
- Collaborate with sales leadership to refine sales strategies and tactics.
Data Analysis and Reporting:
- Generate actionable insights from sales and marketing data to inform decision-making.
- Won/Loss reporting and analysis.
- Engagement reporting for Account Executives, Sales Development Managers, and Customer Solutions teams.
Revenue Forecasting and Planning:
- Collaborate with finance and sales leadership to develop accurate revenue forecasts and quotas.
- Assist in the development of sales territories, quotas, and incentive plans.
- Monitor performance against targets and provide regular updates to leadership.
- Oversee sales pipeline and activity to identify potential risks and opportunities.
Sales and Marketing Alignment:
- Foster collaboration and alignment between sales and marketing teams.
- Establish clear processes for lead handoff and ensure effective communication between teams.
- Identify opportunities for joint initiatives to drive revenue growth.
Adhoc requests from leadership:
- Assist in board decks.
- Conduct one-off metric analysis.
About You
- Bachelors degree in Business Administration, Finance, and/or proven track record of 3-5 years of experience in the role.
- Proven experience in revenue operations, sales operations, or a related field.
- Strong analytical skills with the ability to interpret complex data sets.
- Proficiency in CRM, marketing, and revenue automation platforms (e.g. Salesforce, Marketo, Maxio, GCP Marketplace, etc).
- Experience with data analysis and reporting tools (e.g. Looker, Clari, SFDC, etc.).
- Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.
Labelbox strives to ensure pay parity across the organization and discuss compensation transparently. The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.
Annual base salary range
$135,000—$165,000 USD
Excel in a remote-friendly hybrid model.
We are dedicated to achieving excellence and recognize the importance of bringing our talented team together. While we continue to embrace remote work, we have transitioned to a hybrid model with a focus on nurturing collaboration and connection within our dedicated tech hubs in the San Francisco Bay Area, New York City Metro Area, and Wrocław, Poland. We encourage asynchronous communication, autonomy, and ownership of tasks, with the added convenience of hub-based gatherings.
Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice.
Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.
What We Do
Labelbox is the data factory for generative AI, providing the highest quality training data for frontier and task-specific models. Labelbox’s comprehensive platform combines on-demand labeling services with the industry-leading data labeling platform. The Boost labeling service is powered by the Alignerr community of highly-educated experts, who span all major languages and a diverse range of advanced subjects. They are available on-demand to rapidly generate new data for supervised fine-tuning, RLHF, and more. Labelbox’s software-first approach delivers unmatched control and transparency into the labeling process, leading to the generation of high-quality, consistent data at scale. Customers include Fortune 500 enterprises and leading AI labs, and Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins.
Why Work With Us
Labelboxers are driven to master their craft and build the best products for AI, which is quickly becoming one of the most significant technologies of our time. Join us in supporting our customers as they create AI breakthroughs.
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