Commercial Account Executive
Location: San Francisco (flexible/hybrid)
At Cleanlab, you’ll get to
Cleanlab is looking for sales champions and leaders who are as passionate about building the next great data-centric AI company, as they are about blowing out their numbers every quarter.
What we’re looking for
- Exceeding your number- Winning new enterprise logos
- Experience navigating several opportunities (10-20 at any time)
- Forecasting correctly, communicating clearly, aligning brilliantly with the rest of the team
- Not being afraid of being data driven - including using Salesforce/Hubspot and other tools to track your progress
- Managing full sales cycle from prospect to close
- Collaborating with other teams, including sales engineering and sales development
Qualifications
- A proven track record of driving and closing enterprise deals
- Account planning and execution skills
- Ability to sell C-Level and across both Engineering and AI business units
- Consistent overachievement of quota and revenue goals with a strong W2 track record
- Understands the value of utilizing a strong sales methodology such as MEDDIC when building pipeline and qualifying opportunities
- Proven consultative sales solution skills, including the ability to articulate a clear, concise return on investment value statement
- Ability to maintain a high level of productivity, manage multiple competing priorities, and work effectively under the pressure of time constraints in a fast-paced, complex, collaborative, and team-oriented environment
- Bachelors Degree or equivalent
How to apply
- Apply here: https://cleanlab.ai/apply
Benefits
Working at Cleanlab is awesome! Beyond the opportunity to work at a well-funded AI startup with an incredible, friendly founding team of MIT graduates, all full-time employees receive the following:
- Premium health insurance, including dental and vision.
- Professional development stipend to keep up with the latest innovations in ML and software.
- 401(k) with employer match.
- Unlimited PTO, unlimited sick days, 10 company-wide holidays.
- Work with a talented team unified by a vision to solve challenging problems in artificial intelligence.
- Competitive salary (+ equity offering for certain roles), with regular opportunities for a raise if things are going well.
- Relocation bonus to move to San Francisco.
The compensation range for this role is $180,000 to $220,000 (split between base and commission). The final offer details are determined by several factors including candidate experience/expertise and may vary from the pay range provided.
About us
Prior to Cleanlab, our founders (3 ML PhDs from MIT) worked at OpenAI, Google, Microsoft, Amazon, AWS, Facebook AI Research (FAIR), Dropbox, Oculus, Palantir, NASA, General Electric, MIT Lincoln Laboratory, MIT, Harvard, and Stanford – at every place we worked we repeatedly encountered the same issue – AI solutions failed to work reliably on real-world, human-centric data due to label errors and poor data quality. So, we spent eight years of PhD research at MIT inventing a new field to solve this problem and after successful pilots with world-leading organizations, Cleanlab emerged.
Everything we do at Cleanlab is guided by our north star – to improve the world’s ML data more easily and quicker than any other solution – enabling AI systems to train more reliably on real-world, messy, error-prone data. We develop next-generation data-centric AI, open-source algorithms and provide no-code SaaS enterprise solutions to help individuals and teams at companies (across all industries) diagnose/fix issues in their datasets and produce more reliable ML models by providing clean labels for training.
While many companies can help store/manage data or develop ML models, there exist few solutions today to improve the quality of existing data, which is the core asset of the modern enterprise. This is where you come in. At Cleanlab, you’ll be able to take ownership of critical projects that pioneer the future of data-centric AI.
We are a hybrid company, with over half of our team (and office) located in San Francisco.