Product Manager, Snorkel AI
Enterprise
$130-210k
+ Equity compensation in the form of employee stock options
3 days a week in office (Redwood City, CA)
Data-centric enterprise AI platform for
Open for applications
Data-centric enterprise AI platform for
101-200 employees
Open for applications
$130-210k
+ Equity compensation in the form of employee stock options
3 days a week in office (Redwood City, CA)
101-200 employees
Company mission
To empower everyone to solve their most impactful problems through data-centric AI.
Role
Who you are
- We’re looking for strong entrepreneurial product managers who can think big and execute well in a dynamic environment
- 5+ years product management experience or related industry experience with 2+ years experience in working closely with enterprise customers and channel partners in the enterprise software industry
- Educational background in computer science or related engineering practice
- Consistent track record of delivering products with cross-functional teams - engineering, design, sales, marketing, partnerships
- Excellent communication and storytelling skills to communicate sophisticated topics to diverse set of both technical and business collaborators
- Experience collaborating with business stakeholders to ensure that machine learning solutions deliver successfully on business outcomes
- Experience working with Data Platforms, Machine Learning stack, and common ML deployment patterns
- Ability to connect a customer's specific business problems to Snorkel's differentiated platform and unique approach to ML development
What the job involves
- You will work cross functionally with a world class team across engineering, marketing and sales, to drive all product activities from vision to launch, including long-term product strategy, roadmapping, execution and GTM support with key internal and external customers
- You will also collaborate directly with our co-founding team, sales team, and solutions engineering team to translate a deep understanding of customer use cases into winning a product strategy + execution cadence
- Develop a deep understanding of customer needs and use-cases in the Data Science and Machine Learning domain
- Drive strategy and execution for data development platform and infrastructure
- Integrate competitive analysis, usability studies, research and market analysis into product requirements
- Drive a tailored and business value-aligned technology evaluation process, enabling demos and presentations for customers and field experts
- Collaborate closely with prospects, channel partners and our sales team to deliver solutions and channel feedback to inform and improve the product
- Champion creative solutions to build a process and partnership that is grounded in customer empathy, and product best practices in high-paced start-up environment
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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