Sales Development Representative, Labelbox
General Application
More information about location
Data training platform for ML applications
Job no longer available
Data training platform for ML applications
101-200 employees
Job no longer available
More information about location
101-200 employees
Company mission
To build the best products for humans to advance artificial intelligence.
Role
Who you are
- We’re looking for an SDR who loves problem-solving and has a natural curiosity to learn and work with prospects who are building the latest generative AI products and models using Labelbox
- Located in the Eastern or Western Time zones
- 1-2 years of sales experience
- Demonstrates ability to manage prospect conversations, handling unexpected questions with ease
- You’re comfortable working in a fast-paced work environment
- You embody Labelbox core values in everyday work, demonstrating craftsmanship managing your pipeline and creating new opportunities, and seeking to understand the value-drivers to assist prospects to build the best products for humans to advance AI
- We are a collaborative team, staying motivated and team collaboration is key
- You have a passion for your craft
What the job involves
- As a Sales Development Representative, you are in a unique position to assist Labelbox prospects and customers to build the future of AI technology
- You will be responsible for partnering closely with our Account Executive team to manage your personal sales-pipeline and create new qualified sales opportunities in target accounts
- You will work closely with Sales, Marketing, Product, and Support to create compelling messaging and gain first-hand training, learning all stages of the sales cycle, while helping us communicate the value of Labelbox directly to our customers
- As a part of the sales team, you are not just helping someone use our app, you are collaborating with business and technical teams as they build AI products, often the first of its kind for their industry
- Manage your own sales and meetings pipelines in a specified sales territory
- Discover new sales leads based on industry & account research (Linkedin Sales Navigator, ZoomInfo, internet research, etc)
- Create strategic outreach campaigns (calls, emails, Linkedin, social selling, etc)
- Qualify prospects/accounts through email, phone, Linkedin, etc
- Manage prospects, accounts, and opportunities in Salesforce
- Achieve organizational goals, monthly meeting quotas, and team objectives
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
46% employee growth in 12 months
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 HQ
Mission District, San Francisco, CA
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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