Labelbox Logo

Labelbox

Managing Partner, Frontier AI

Reposted Yesterday
Be an Early Applicant
In-Office or Remote
6 Locations
150K-200K Annually
Senior level
In-Office or Remote
6 Locations
150K-200K Annually
Senior level
The Managing Partner will lead enterprise sales, managing multi-million dollar pipelines and fostering strategic partnerships with AI labs and Fortune 500 clients.
The summary above was generated by AI
Shape the Future of AI

At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.

About Labelbox

We're the only company offering three integrated solutions for frontier AI development:

  1. Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale
  2. Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models
  3. Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling
Why Join Us
  • High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions.
  • Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence.
  • Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution.
  • Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI.
  • Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics.
Role Overview

We are looking for a passionate and experienced sales leader who is excited to work at the forefront of AI innovation. You’ll engage with some of the top AI labs in the world, navigate complex enterprise sales cycles, and craft tailored AI solutions that push the boundaries of what’s possible. 

If you’re a strategic thinker, a skilled communicator, and thrive in a fast-moving, high-impact environment, this role is for you.

Your Impact
  • Shape Multi-Million Dollar Pipelines: Identify, prioritize, and cultivate $20M+ enterprise opportunities across frontier AI labs and Fortune 500 accounts, structuring portfolios of 20+ concurrent projects.
  • Orchestrate Stakeholder Alignment: Map and engage decision-makers across research, engineering, product, procurement, and executive leadership to secure long-term commitment to human-data solutions.
  • Drive Complex, Multi-Project Sales Cycles: Lead end-to-end deal execution by aligning customer pain points with tailored human-data offerings, building proposals, navigating procurement, and closing multi-year frameworks.
  • Anchor Strategic Partnerships: Ensure customer confidence by collaborating with delivery, research, and program management teams to execute high-impact pilots that expand into scaled, production-level contracts.
  • Grow Enterprise Accounts: Expand wallet share by uncovering new project streams, embedding Labelbox as a strategic partner across evaluation, red teaming, SFT, RLHF, and benchmark initiatives.
  • Elevate Go-to-Market Strategy: Build executive-level narratives, thought leadership content, and case studies that position Labelbox as the partner of choice for frontier AI companies
What You Bring
  • Proven Track Record in Large Deals: 7+ years managing enterprise sales cycles with experience closing $5M–$20M+ annual agreements spanning multiple concurrent projects.
  • Expert in Multi-Threaded Sales: Demonstrated success engaging across research leaders, engineering stakeholders, procurement teams, and C-suite executives.
  • Consultative & Strategic Approach: Adept at translating technical needs (AI safety, evals, data quality, benchmarks) into commercial frameworks that resonate with business and technical leaders alike.
  • Operational Rigor: Ability to manage complex deal structures, ensure visibility across 20+ active workstreams, and coordinate with internal delivery and product teams to ensure flawless execution.
  • Domain Expertise: Experience selling AI, ML, or human-data services to advanced research orgs and technical decision-makers.
  • Full-Cycle Deal Leadership: Skilled in qualification, solution design, proposal building, negotiation, procurement navigation, and customer success alignment.
  • Executive Communication: Excellent written and verbal communicator with the ability to craft compelling narratives for both technical and business stakeholders.
Sales at Labelbox

At Labelbox Sales, you'll be at the forefront of the AI revolution, partnering with leading AI labs and Fortune 500 enterprises to shape the future of artificial intelligence. Our sales team combines deep technical understanding with strategic consulting skills to help organizations unlock the full potential of AI. We pride ourselves on being trusted advisors who truly understand the complexities of AI infrastructure and can guide customers through their AI journey. Our sales culture is entrepreneurial and collaborative, where creativity and strategic thinking are highly valued. You'll have the opportunity to work on groundbreaking deals that define new categories in the AI industry, backed by a product that delivers real, measurable value to customers. 

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 (with additional commission bonus)
$150,000$200,000 USD
Life at Labelbox
  • Location: Join our dedicated tech hub in San Francisco
  • Work Style: Hybrid model with 3 days per week in office, combining collaboration and flexibility
  • Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making
  • Growth: Career advancement opportunities directly tied to your impact
  • Vision: Be part of building the foundation for humanity's most transformative technology
Our Vision

We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs.

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.

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.

HQ

Labelbox San Francisco, California, USA Office

510 Treat Ave, San Francisco, CA, United States, 94110

Similar Jobs

15 Minutes Ago
Remote or Hybrid
Senior level
Senior level
Digital Media • Gaming • Information Technology • Software • Sports • Esports • Big Data Analytics
Lead end-to-end personalization ML initiatives: build scalable ML pipelines, design CI/CD for models, monitor production performance, implement retraining and drift detection, partner with cross-functional teams, and mentor engineers.
Top Skills: A/B TestingCi/CdDatabricksGitopsJenkinsMlflowPythonSparkSQL
12 Hours Ago
Remote or Hybrid
6 Locations
77K-202K Annually
Senior level
77K-202K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Coordinate and manage large-scale Oracle Cloud/Fusion ERP implementations: define objectives, develop project plans, allocate resources, monitor progress, mitigate risks, use Oracle Project Resource Management and BPM tools, facilitate cross-functional teams, produce scope/status reporting, and maintain stakeholder communications and training.
Top Skills: Oracle Agile Product Lifecycle Management (Plm)Oracle Business Process ManagementOracle CloudOracle ErpOracle FusionOracle Project ManagementOracle Project Resource Management
12 Hours Ago
Remote or Hybrid
6 Locations
99K-232K Annually
Mid level
99K-232K Annually
Mid level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead and coordinate large-scale Oracle Cloud/Fusion implementation projects, manage resources and stakeholders, develop plans, mitigate risks, drive cross-functional alignment, coach team members, and ensure delivery meets professional and technical standards.
Top Skills: Oracle Agile Product Lifecycle Management (Plm)Oracle Business Process ManagementOracle CloudOracle Core ErpOracle FusionOracle Project Portfolio Management (Ppm)

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account