Director, Client Facing Data Scientist

Director, Client Facing Data Scientist

At Snorkel AI, we’re redefining how people and organizations build AI applications. Snorkel started as a research project in the Stanford AI Lab in 2016, creating a higher-level interface to machine learning through programmatically labeled and managed training data. From deploying in some of the world’s largest and most sophisticated tech organizations, to empowering scientists, doctors, and journalists — we’ve seen firsthand how this approach democratizes and accelerates AI. Now, we’re building Snorkel Flow to bring our technology to everyone!

Building Snorkel Flow requires outstanding engineers and technologies across the stack, including scalable data pipelines, elegant and intuitive interfaces (both visual and programmatic), state-of-the-art ML modeling techniques, and best practices for seamless deployment. Modern AI approaches require large labeled training datasets to learn from. While traditional approaches typically rely on armies of human annotators to label by hand, Snorkel Flow empowers users to programmatically label and build training data sets to drive a radically faster, more flexible, and higher quality end-to-end AI development process. Snorkel Flow is an end-to-end development platform, complete with a GUI and powerful programmatic interfaces for driving the development process for full AI application workflows: from preprocessing, to programmatic training data creation, to ML model training, to analysis, and deployment. It's the data-first platform for enterprise AI.

Excited to help us redefine how AI applications are built? Apply to be the newest Snorkeler!

Snorkel is seeking a Director of Client Facing Data Scientist to lead and build a highly skilled team of Machine Learning Solution Engineers and Client Facing Data Scientists. In this role, you will lead a team of customer facing machine learning engineers and data scientists  working directly with our co-founding team, sales team, product team, and Engineering team to understand the needs of our customers, align pain and challenges to our differentiation, and provide value-based evaluation scenarios (including demonstrations, labs, and POVs) to close business. You will also sit at the intersection of product, sales, and engineering and will work with the broader team to continue building Snorkel Flow into the leading platform for data-first AI. 

Main Responsibilities

    • Build and lead a team of world-class data scientists and applied machine learning engineers who serve as our first-line expert educators on Snorkel Flow while also being responsible for a process and value-aligned technical evaluation Support a team focused on execution of PoCs and post sales implementations all focused on data science and machine learning projects built on Snorkel Flow
    • Act as a trusted advisor on AI; enable customers to solve complex data science problems using Snorkel Flow – including problem framing, data preparation, scripting, model building, model deployment, model management, and output consumption
    • Help connect a customer's specific business problems and pain points to Snorkel’s highly differentiated programmatic approach to labeling data and ML application development while quantifying the business value.
    • Act as a player/coach working with your team to develop and deliver compelling presentations to customers and prospects
    • Enable a team of field experts on the Snorkel Flow platform
    • Coordinate cross-functional, dotted-line resources to achieve your team’s goals while maintaining a close working relationship with our co-founders, product, engineering, sales, and marketing teams
    • Provide guidance to revenue leaders on sales strategy and product obstacles/gaps, and represent the team's needs to executive staff
    • Interpret complex problems, create simple solutions, and collaborate closely with prospects, channel partners, and our sales team to deliver winning solutions
    • Innovate and implement strategies that will uplevel your team’s skills

Preferred Qualifications

    • 7+ years of industry experience in a pre-sales capacity with 3+ years of direct line management experience (hiring, training, and retaining top talent).
    • Industry expertise within data science and machine learning (strongly preferred), business intelligence, data analytics, cloud computing, and/or SaaS.
    • Knowledge Familiarity about with all stages of production ML pipelines, from problem framing and data preparation to model deployment and monitoring (bonus)Fluency with scripting in Python.
    • Hands-on experience building and implementing machine learning models.
    • Fluency with scripting in Python and common ML libraries
    • Experience collaborating with business stakeholders to ensure that machine learning solutions deliver successfully on business outcomes.
    • Outstanding presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using slides and demos.
    • Ability to connect a customer's specific business problems to Snorkel’s differentiated AI application development platform based on a programmatic approach to creating labeled ML training data.
    • University degree in computer science, engineering, mathematics, or a related field, or equivalent experience
Remote work optional.

If you applied to a position at Snorkel AI over 9 months ago, feel free to re-apply and let us know what you've been up to!

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. 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 with a 100% match up to 5% of annual salary. 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.
Logos/outerjoin logo full

Outer Join is the premier job board for remote jobs in data science, analytics, and engineering.