Managing Partner, Labelbox
Frontier AI
$150-200k
With additional commission bonus
2 days a week in office
Data training platform for ML applications
Be an early applicant
Data training platform for ML applications
201-500 employees
Be an early applicant
$150-200k
With additional commission bonus
2 days a week in office
201-500 employees
Company mission
To build the best products for humans to advance artificial intelligence.
Role
Who you are
- If you’re a strategic thinker, a skilled communicator, and thrive in a fast-moving, high-impact environment, this role is for you
- 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
What the job involves
- 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
- 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
Our take
Labelbox offers a web service and API helping companies better manage the process of annotating and labelling data used for machine learning (ML). This reduces costly and labour-intensive human data labelling, a major stumbling block for the increasing number of larger companies looking to deploy ML at scale.
Labelbox offers automated labelling 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 labelling. The company emphasises 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
(Co-Founder)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
(Co-Founder & 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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