Revenue and Sales Operations Manager, Labelbox
$135-165k
Data training platform for ML applications
Job no longer available
Data training platform for ML applications
101-200 employees
Job no longer available
$135-165k
101-200 employees
Company mission
To build the best products for humans to advance artificial intelligence.
Role
Who you are
- 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
What the job involves
- 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
- 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
- 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
- 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
- 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
- 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
- Assist in board decks
- Conduct one-off metric analysis
Our take
Labelbox offers a web service and API helping companies better manage the process of annotating and labeling data used for machine learning (ML). This reduces costly and labor-intensive human data labeling, a major stumbling block for the increasing number of larger companies looking to deploy ML at scale.
Labelbox offers automated labeling as a means of boosting productivity, which puts it in direct competition with Scale AI, a company valued at over $7 billion. Founded in 2018, the relatively young Labelbox will have to find a compelling way of distinguishing itself, such as by addressing the ethical issues faced in data labeling, The company emphasizes that its product addresses the problem of bias by working as a sort of auditable record, and offers quality assurance systems to help identify it.
Labelbox has remained focused on streamlining its capabilities to raise its value in line with the rapidly growing market. The company's global expansion efforts have significantly widened its potential client base, the company has also collaborated with Google to make access to its platform easier.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 5 rounds)
Jan 2022
$110m
SERIES D
Feb 2021
$40m
SERIES C
Total funding: $188.9m
Company benefits
- Flexible vacation policy (we don't count PTO Days)
- 401k Program
- College savings account
- HSA
- Daily lunches paid for by the company (especially convenient while working from home)
- Virtual wellness and guided meditation programs
- Dog-friendly office
- Regular company social events (happy hours, off-sites)
- Professional development benefits and resources
- Remote friendly (we hire in-office and remote employees)
Company values
- Make Customers Win - We find great pleasure in creating solutions for our customers. By working with us, our customers are at the forefront of industrial machine learning
- Craftsmanship - Craftsmanship is the fine balance between perfection and a solution to the given constraints. To be a craftsman is to be consumed in a problem and to create your best expression of work as a result
- Seek To Understand - The machine learning industry is growing and evolving rapidly as it begins to transform every industry. We must stay humble and embrace that we have so much more to learn. We seek to understand first so that we build the most impactful solutions
Company HQ
Mission District, San Francisco, CA
Articles
Leadership
Brian Rieger
(COO)Began as an Engineering Intern at Hudson Technologies. Co-founded Infinity Aerospace. Was an Aerodynamics Engineer at Boeing. Worked in Data Science for World Fuel Services.
Manu Sharma
(CEO)Masters in Astronautical Engineering from Stanford. Founder & CEO of Nuovo Wind. Founder & CEO of Ardulab/Infinity Aerospace. Worked at DroneDeploy for over 3 years, from Drone Engineer to Product Manager. Was a Product Manager at Planet.
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