Product Manager (Data Science)

About the Role

Set the vision and drive a roadmap for Sigma's technical user base & to make Sigma data science ready. The ideal candidate will be obsessed with delivering refined user experiences that unify technical and non-technical users in their data workflows.

What You Will Be Doing

• Set the 12-18 month vision for their features and collaborate with Product leadership in setting the overall product direction and vision
• Develop a rich, reliable and actionable understanding of the target user types by working directly with the Sigma customer base-and incorporate that understanding to deliver product experiences
• Work with team, to iteratively define, build, test, and launch features

Skills & traits needed to be successful in this role

• Maintain a strong sense of urgency at all times
• Have a strong opinion on usability of features
• Be effective at debating with engineers and designers to deliver well crafted product experiences
• Strong, hands-on analytical skills and experience with both spreadsheets and with BI-like tools, with the ability to empathize with both categories of users
• Very strong oral and written communication skills
• Effective at working with a cross-functional team from Sales, Sales Engineering, Customer Success to take features to market
• Willingness to travel for customer meetings and business reviews

Qualifications We Need

• 3-5 years of Product Management experience with a focus on Data Science and Machine Learning
• Demonstrated experience in building products that were very well received by the customer base
• Expertise in the Python, SQL, and data science tools and applications
• Product development background at a startup as a PM, SWE, UX-D, or another function

Additional Job details

The base salary range for this position is $180k - $230k annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience.

Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing.

This role is eligible for stock options, as well as a comprehensive benefits package.

About us :

Sigma is the only cloud analytics and business intelligence tool empowering business teams to break free from the confines of the dashboard, explore data for themselves, and make better, faster decisions.

The award-winning software was built to capitalize on the performance power of cloud data warehouses to combine data sources and analyze billions of rows of data instantly via an intuitive, spreadsheet-like interface - no coding required.

Since launching with its unique interface, Sigma Computing has added features such as collaboration tools and embedded analytics capabilities.

The most recent product launch included a set of AI tools such as forecasting capabilities, an AI copilot and a notebook interface for users who prefer a code-first environment.

Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption.

Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.

The Series D funding, raised at a valuation 60% higher than the company's Series C round three years ago, promises to further accelerate Sigma's growth.

Come join us!

Benefits For Our Full-Time Employees :

• Equity
• Generous health benefits
• Flexible time off policy. Take the time off you need!
• Paid bonding time for all new parents
• Traditional and Roth 401k
• Commuter and FSA benefits
• Lunch Program
• Dog friendly office

Sigma Computing is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status.

We look forward to learning how your experience can enable all of us to grow.

Note : We have an in-office work environment in both our SF & NYC office.