Full-Time
Managing Partner
Frontier AI
Confirmed live in the last 24 hours
Labelbox
201-500 employees
Provides data labeling solutions for AI
Compensation Overview
$150k - $250kAnnually
Senior
San Francisco, CA, USA
You match the following Labelbox's candidate preferences
Employers are more likely to interview you if you match these preferences:
- 5+ years of closing sales experience at a technology company and experience closing contracts with minimum $1M+ ACV
- Experience managing a consultative sales cycle with Executives at Fortune 500 companies
- Highly organized and autonomous
- Entrepreneurial and self-motivated
- Experience selling data, AI, or a technical product to data scientists, engineering leaders, and C-level executives
- Experience running the full sales cycle including strong qualification, creating proposals, negotiating contracts, dealing with procurement, and customer success
- Familiar with Salesforce and sales prospecting tools
- An excellent verbal and written communicator
- Develop a Sales Pipeline: Identify key target accounts interested in generative AI solutions and create customized outreach strategies to build strong relationships
- Strategically Map Stakeholders: Identify decision-makers in AI adoption and devise a plan to secure their buy-in for generative AI services
- Lead and Manage the Sales Cycle: Tailor pitches and AI product demos to address the specific needs and challenges of each client
- Ensure Client Satisfaction: Collaborate with the Customer Success team during AI pilot phases to ensure a seamless transition to long-term AI service contracts
- Expand Client Accounts: Coordinate post-sales efforts to ensure successful AI deployment, enhance customer experience, and manage account growth and renewals
- Enhance Go-to-Market Strategy: Develop compelling AI demos, sales collateral, and tools to optimize and scale the generative AI sales process
Labelbox offers data labeling solutions for artificial intelligence applications, enabling businesses to label images, videos, text, and documents efficiently. Their platform allows users to create workflows that manage labeling tasks, which is crucial for industries like agriculture and healthcare that require large-scale data labeling for AI model training. Operating on a software-as-a-service (SaaS) model, Labelbox generates revenue through subscription fees and additional workforce services. The company's goal is to enhance AI development by providing high-quality data labeling solutions that improve efficiency.
Company Size
201-500
Company Stage
Series D
Total Funding
$183.7M
Headquarters
San Francisco, California
Founded
2018
Simplify's Take
What believers are saying
- Labelbox's partnership with Google Cloud enhances its generative AI capabilities.
- The introduction of auto-computed metrics aids in efficient model debugging and performance improvement.
- Opening a new office in London expands Labelbox's reach in the European market.
What critics are saying
- Increased competition from Google's Gemini platform may attract potential Labelbox clients.
- Rapid AI advancements by tech giants pressure Labelbox to continuously innovate.
- Expansion of the Google Cloud partnership could lead to over-reliance on a single partner.
What makes Labelbox unique
- Labelbox offers advanced data labeling solutions for AI applications across multiple industries.
- The platform supports Fortune 500 companies like Walmart, P&G, and Adobe.
- Labelbox provides a unique combination of human supervision and automation for AI model training.
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Benefits
Competitive remuneration
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)
Growth & Insights and Company News
6 month growth
↑ 5%1 year growth
↓ -8%2 year growth
↓ -5%Google’s latest artificial intelligence models could accelerate AI adoption in eCommerce and retail, developers say, as the tech giant unveils upgrades designed to attract more businesses to its Gemini platform. The company announced two updated production-ready models in a Tuesday (Sept. 24) blog post, Gemini-1.5-Pro-002 and Gemini-1.5-Flash-002, which offer enhanced capabilities across a range of tasks, including product recommendations, inventory management and customer service automation. “The new release introduces advanced capabilities in math and vision tasks,” Sujan Abraham, a senior software engineer at AI firm Labelbox, told PYMNTS. “These models are designed for a wide range of tasks, including text, code and multimodal applications. They can process larger and much more complex inputs like 1,000-page PDFs, massive code repos and hour-long videos
Labelbox introduces Large Language Model (LLM) solution to help enterprises innovate with generative AI, expands partnership with Google Cloud.
Labelbox introduces LLM solution to help enterprises innovate with generative AI, expands partnership with Google Cloud.
In the next week, Labelbox Inc.’ll be releasing auto-generated model metrics to debug your model, find and fix labeling errors, and improve the overall performance of your model before it hits production on real-world data.
In the coming days, Labelbox Inc.'ll be adding an exciting new feature called Workflows.