Machine Learning Success Manager, Snorkel AI
$140-190k
Salary dependent on location + Employee stock options
Data-centric enterprise AI platform for
Be an early applicant
Data-centric enterprise AI platform for
101-200 employees
Be an early applicant
$140-190k
Salary dependent on location + Employee stock options
101-200 employees
Company mission
To empower everyone to solve their most impactful problems through data-centric AI.
Role
Who you are
- 5+ years demonstrated ability working in a technical customer-facing role, e.g., technical account management, management consultant, pre-sales engineer or customer success
- Demonstrable ability to understand customer objectives, design solutions and identify expansion opportunities that align to value drivers within the account
- Experience running strategic projects or professional services engagements with a strong orientation towards teaching and enablement
- Consistent record of achieving targets and goals with a history of driving adoption and identifying risks to renewals, cross-selling and upselling
- Influential presence in front of customers, strong presentation and interpersonal skills and the desire to become the trusted advisor
- Skilled at coordinating resources to manage customer issues through a successful resolution
- B.S. degree in Computer Science, Engineering, or comparable degree/experience
- Travel up to 30% based on customer needs
Desirable
- Previous experience working on machine learning projects or industry knowledge of standard technologies in the machine learning space
- Track record of collaboration across technical and sales teams to handle churn and grow retention rates within accounts
- Strong desire to help people solve problems with the ability to explain technical concepts to a broad audience and then influence internal and external partners
- Ability to uncover customer struggles and apply Snorkel AI’s resources to provide solutions
- Previous experience with manufacturing, retail, health and life sciences, or insurance is a plus
What the job involves
- As Snorkel's ML Success Manager, you will lead the post-sales lifecycle for a portfolio of enterprise customers
- You'll be focused on building strong relationships and delivering successful outcomes
- Within each account you will serve as a trusted advisor, helping customers drive adoption, move up the maturity curve, and derive business value from Snorkel Flow and our data centric approach to ML application development
- Ultimately, your efforts will directly lead to project success, retention, renewal, and growth
- Sitting at the intersection of sales, product management, engineering, and data science teams, few roles provide such a direct impact on the growth of the company
- In time, the ML Success Manager will proactively identify and enhance areas of improvement within the customer success path
- This is a phenomenal opportunity for a customer-centric individual to join our customer success team and drive its strategy for the future
- Build and develop relationships with senior leaders in business and IT to ultimately stay aligned with business outcomes and secure partnership in their transformation initiatives
- Identifying critical needs of our customers and mapping appropriate resources multi-functionally including product, engineering, data science, and co-founders
- Lead the new customer onboarding program and work with core Snorkel AI technical teams to ensure that customer requests and critical issues are resolved in a timely fashion
- Be a customer advocate as we establish our roadmap and influence features and improvements and actively support them through the product development pipeline via collaboration with the product team
- Partner closely with Regional Sales Leaders, Account Executives, MLEs, Data Scientists, and other internal collaborators to identify new use cases and add-on opportunities for the account team
- Identify and mitigate risk of churn with a well thought out account add-on strategy built in collaboration with Account Team
- Supervise customer health and adoption metrics, developing a comprehensive understanding of account health and overall status
- Become a domain expert on the Snorkel AI product, and our position within the marketplace while also continuing to expand your knowledge of AI/ML industry trends
- Assist with the development and implementation of standard methodologies, processes, and tools to continually improve our Customer Success Program
Our take
Demand for AI is increasing in almost every industry, but the machine learning that fuels it is tedious to set up. In order to train machine learning algorithms, training data must be labelled manually, and this contributes to expenses in time, money and resources when integrating AI within a business.
Snorkel AI develops programmatic approaches to data labelling in order to automate the setup process of machine learning and decrease the required timeframe for a business to begin providing AI services. In addition to these automated data categorization services, the company also integrates data training, management, and analysis into a unified AI-deployment platform.
The complex computer science behind AI setup has resulted in many businesses without computer science backgrounds being left behind, and Snorkel AI has set this as their target audience. As of 2023, this customer base has tripled in size since Snorkel AI's founding and in 2024, enjoyed a new round of funding. With these promising developments, the company continues to innovate the sector.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
-13% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Aug 2021
$85m
SERIES C
Apr 2021
$35m
SERIES B
Total funding: $135m
Company benefits
- Home office allowance
- Yearly wellness stipend
- Healthy meals, snacks & drinks in office
- 401k with a 100% match up to 5% of annual salary
- Regular team events
- Generous paid parental leave
- Work from home opportunities
- Health insurance
Company values
- We cultivate autonomy across the entire team by being open about our goals, wins, and challenges.
- We get to answers fast, focusing on what works—not what's fancy.
- In our field of AI and software engineering, we believe that diverse thinkers increase collective insights and knowledge.
Company HQ
Centennial, Redwood City, CA
Articles
Leadership
Alex Ratner
(Co-founder & CEO)Studied at Harvard and received a PhD from Stanford. They are also an Assistant Professor at the University of Washington.
Paroma Varma
(Co-founder)They hold a PhD from Stanford and was VP of Corporate Relations at the Society of Women Engineers. They have collaborated with teams at Facebook and Intel.
Braden Hancock
(Co-founder & Head of Technology)They have a PhD in Computer Science from Stanford, and worked as a Research Assistant with the Air Force and MIT. They were also a Software Engineer at Google, and a Researcher at Facebook.
Henry Ehrenberg
(Co-Founder)They studied at Yale and Stanford and worked at Facebook as a Quantitative Engineering Intern and a Senior Applied Research Scientist.
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