Staff Product Designer, Snorkel AI

$130-210k

+ Equity compensation in the form of employee stock options

Mid and Senior level
San Francisco Bay Area

3 days a week in office (Redwood City, CA)

Snorkel AI

Data-centric enterprise AI platform for

Open for applications

Snorkel AI

Data-centric enterprise AI platform for

101-200 employees

B2BArtificial IntelligenceEnterpriseSaaSData Integration

Open for applications

$130-210k

+ Equity compensation in the form of employee stock options

Mid and Senior level
San Francisco Bay Area

3 days a week in office (Redwood City, CA)

101-200 employees

B2BArtificial IntelligenceEnterpriseSaaSData Integration

Company mission

To empower everyone to solve their most impactful problems through data-centric AI.

Role

Who you are

  • Qualified candidates should have at least 4+ years experience working as UX professional or product designer
  • A strong portfolio with a variety of design challenges you have solved to demonstrate thoughtful approach and attention to detail
  • Proven experience of UCD design principles and methodologies, with an ability to conduct competitor analysis & benchmarking, create user journeys, user flows, sitemaps, wireframes and interactive prototypes
  • Experience conducting usability testing; demonstrating an ability to plan, conduct and analyse your own studies using in-person, remote or online methods
  • Ability to work collaboratively by providing and receiving feedback in a fast-paced environment

Desirable

  • Keen interest and familiarity with AI, machine learning or data science. Frontend web development experience is a plus!

What the job involves

  • You will collaborate with Product Designers, Engineers, Product managers and Industry Leaders to deliver the best possible customer experience on the Snorkel Flow platform
  • As a product designer you will lead a range of UX initiatives and contribute to the strategy of how user experience design is applied across our products whilst maintaining high standards and industry best practices
  • Responsible for understanding our users, defining their goals and needs, and communicating them to the Snorkel team
  • Developing user personas and usage scenarios that can test the efficiency of our designs
  • Work collaboratively with the team to craft end-to-end flows and interaction patterns that make our products intuitive and easy to use
  • Understand, apply and advocate user-centred design techniques and processes, from project initiation through to on-going product evolution
  • Collaborate with other designers and engineers to test ideas, share challenges, provide feedback and build quality in your practice
  • Create effective handover materials as part of design specifications, which clearly communicate interaction patterns or element behaviours to engineering teams
  • Participate in generative user research and competitor analysis to understand customers needs, behaviours. Isolate pain points in user flows and improve the overall product experience
  • Working alongside both brand and product teams to define, craft and evolve our design system, creating a unified experience across platforms and customer touchpoints
  • Collaborate with engineering, strategy and product design to create intuitive interfaces for complex ML development
  • Proactively solicit and provide feedback from designers and the broader product team in order to continually raise our bar for quality, while also tackling mentorship of more junior members of the team

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 headshot

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Led by a woman
Top investors

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

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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