Solutions Engineer
Labelbox
Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to inject these systems with the right degree of human supervision and automation. Whether they are building AI products by using LLMs that require human fine-tuning, or applying AI to reduce the time associated with manually-intensive tasks like data labeling or finding business insights, Labelbox enables teams to do so effectively and quickly.
Current Labelbox customers are transforming industries within insurance, retail, manufacturing/robotics, healthcare, and beyond. Our platform is used by Fortune 500 enterprises including Walmart, Procter & Gamble, Genentech, and Adobe, as well as hundreds of leading AI teams. We are backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures (Google's AI-focused fund), Databricks Ventures, Snowpoint Ventures and Kleiner Perkins.
Your Day to Day
- Build trust and establish relationships with the customer teams, helping them realize value with Labelbox
- Improve customer's experience by using your technical expertise to share best practices, lead technical discussion, discover use cases, deliver product demos and Proof of Concepts to demonstrate the tangible value of Labelbox
- Become the voice of the customer with our Product teams to guide them through key market trends, customer requests and provide input to the roadmap
- Become an expert in Labelbox, and related partner products, as customers will seek your advice and expertise
- Participate in key marketing initiatives and thought leadership pieces to increase Labelbox eminence and influence the AI market
About You
- 4+ years of experience in customer facing technical role
- Proficiency in Python
- Experience with AI model training (eg. Hugging Face), data warehouses, APIs
- Experience using Cloud Infrastructure with GCP, AWS, or Azure
- Understanding of the language and technical stacks of ML/infra engineers and data scientists
- As the technical stacks evolve continuously, being curious and a life-long learner is a requirement
- Strong presentation and communication skills, both verbal and written
- Entrepreneurial and problem-solving mindset, experience managing customer challenges and seeing them through resolution
- Technical Bachelor's degree (Computer Science, Engineering, Mathematics)
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 $130,000 - $150,000 + commission. 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.
Excel in a Hub-centric Remote Model.
We’re committed to excellence and understand the importance of bringing our talented people together. While we continue to embrace remote work, we’ve transitioned to a Hub-Centric Remote Model with a focus on nurturing collaboration and connection within our dedicated hubs in the San Francisco Bay Area, New York City Metropolitan Area, Miami-Fort Lauderdale Area, and Warsaw, Poland. We encourage asynchronous communication, autonomy, and ownership of your 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. If you are uncertain about the legitimacy of any communication you have received, please do not hesitate to reach out to us at recruiting@labelbox.com for clarification and verification.
#LI-Hybrid