We’re on a mission to democratize AI by building the definitive AI data development platform. The AI landscape has gone through incredible change between 2016, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!
(This role is a hybrid role based in Redwood City or Redwood City + San Francisco)
We are recruiting a high caliber product manager to join the founding product team for Snorkel Flow, the data-centric development platform for enterprise AI.
In this role, 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. We’re looking for strong entrepreneurial product managers who can think big and execute well in a dynamic environment.
Main Responsibilities
- 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
Minimum Qualifications
- 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
- Experience working with building identity management & permissioning systems, authentication & authorization, and/or container orchestration (Kubernetes) strongly preferred
- Experience working with public cloud infrastructure and/or private-cloud & on-prem environments strongly preferred.
- 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.
Be Your Best At Snorkel
Snorkel AI is on a mission to make machine learning practical for everyone, and it starts with building a team that welcomes, represents and gives opportunity to all. We work at the frontier of AI and software engineering, and believe that underrepresented communities need to play a part in shaping the future of these fields. At Snorkel AI, we actively work to create an environment that values end-to-end ownership, diverse forms of impact, and opportunities for personal growth.
Snorkelers are supported by an amazing team and an amazing set of benefits. For Full-time employees, we offer comprehensive medical, dental, and vision plans for Snorkelers and their families, plus a yearly wellness stipend. Our 401k program lets Snorkelers plan for their future and our parental leave program lets new parents take up to 20 weeks of paid time off. Learn more about these benefits and more — like our workstation setup allowance — on our Careers page.
Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Top Skills
What We Do
Our mission is to empower everyone to solve their most impactful problems through data-centric AI. To do this, we have introduced Snorkel Flow, a data-centric AI platform, and are building an incredibly talented team. We empower Fortune 500 enterprises such as Chubb and BNY Mellon, and several government agencies to accelerate AI application development by 10-100x.
Why Work With Us
The founding team spent over half a decade researching programmatic labeling, weak supervision, and other techniques to break through one of the biggest bottlenecks in AI: the lack of labeled training data. This research has resulted in Snorkel research project and 60+ peer-reviewed publications. Snorkel has developed and deployed its technology
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