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Manager Streamlit Jobs in California (NOW HIRING)

User Facing Software Manager

Palo Alto, CA · On-site

$137K/yr

... Plotly, Streamlit, or equivalent for data wrangling and visualization. • Experience designing ... management for hardware-in-the-loop or real-world systems. Preferred : • Experience working on ...

... Streamlit to facilitate understanding and decision-making. SQL Mastery: Utilize advanced SQL skills to efficiently query, manipulate, and manage data, ensuring the accuracy and reliability of ...

... such as Streamlit to facilitate understanding and decision-making. • SQL Mastery: Utilize advanced SQL skills to efficiently query, manipulate, and manage data, ensuring the accuracy and ...

... Streamlit, or similar frameworks * Familiarity with Databricks AI/BI or other data visualization tools * Exposure to data governance and metadata management frameworks * Experience working with cloud ...

... Streamlit to facilitate understanding and decision-making. SQL Mastery: Utilize advanced SQL skills to efficiently query, manipulate, and manage data, ensuring the accuracy and reliability of ...

... such as Streamlit to facilitate understanding and decision-making. • SQL Mastery: Utilize advanced SQL skills to efficiently query, manipulate, and manage data, ensuring the accuracy and ...

Collaborate with Product Management and Engineering to continuously improve Snowflake's products and eco-system roadmaps. Our Ideal Applied Performance Engineer Will Have: * Minimum 2 years of ...

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Manager Streamlit information

What is the salary of Streamlit developer?

A Streamlit developer's salary typically ranges from $70,000 to $130,000 annually, depending on experience, location, and skill level. Professionals skilled in Python, data visualization, and deployment tools may command higher salaries in this field.

Is Streamlit in demand?

Streamlit is increasingly in demand for building data dashboards and interactive applications, especially among data scientists and developers. Skills in Streamlit, along with Python, are valuable as organizations adopt this tool for rapid prototyping and visualization tasks.

Is ML a high paying job?

Machine Learning (ML) roles, including positions like ML engineers and data scientists, are generally considered high-paying within the tech industry due to the specialized skills required. Salaries for these roles often reflect expertise in programming, statistics, and tools like TensorFlow or PyTorch, and can vary based on experience, location, and company size.

What is the difference between Manager Streamlit vs Data Analyst?

AspectManager StreamlitData Analyst
Required CredentialsBachelor's degree in CS, Data Science, or related field; experience with Streamlit and project managementBachelor's degree in Statistics, Data Science, or related field; proficiency in data analysis tools
Work EnvironmentCollaborative teams, project-based, tech-focusedData-focused, reporting, and insights generation
Employer & Industry UsageTech companies, startups, data-driven organizationsBusiness, finance, healthcare, and marketing sectors

The main difference is that a Manager Streamlit oversees the development and deployment of data apps using Streamlit, managing teams and projects, while a Data Analyst focuses on analyzing data, generating reports, and providing insights. Both roles require technical skills, but the Manager Streamlit role emphasizes project management and app development leadership.

Which 3 jobs will survive AI?

Manager roles that require complex decision-making, emotional intelligence, and strategic thinking are less likely to be automated by AI. Jobs in healthcare, such as physicians and nurses, and skilled trades like electricians and plumbers, are also expected to persist due to their hands-on and interpersonal nature. These roles often involve tasks that are difficult for AI to replicate fully.
What are the most commonly searched types of Streamlit jobs in California? The most popular types of Streamlit jobs in California are:
What job categories do people searching Manager Streamlit jobs in California look for? The top searched job categories for Manager Streamlit jobs in California are:
What cities in California are hiring for Manager Streamlit jobs? Cities in California with the most Manager Streamlit job openings:
Infographic showing various Manager Streamlit job openings in California as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Senior Product Manager - Streamlit

Senior Product Manager - Streamlit

Snowflake

Menlo Park, CA • On-site

$200K - $287K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.

Streamlit has become a defining force in the Python ecosystem, recently surpassing one million monthly active developers who use the Streamlit open‑source library to build data applications. At Snowflake, we are turning that momentum into the premier enterprise destination for Python‑based data applications. Streamlit in Snowflake allows developers to build, share, and deploy governed, interactive applications directly where their data lives.

We are looking for a Senior Product Manager to lead this transition from massive open‑source momentum to an enterprise business. In this role, you will be the Product Manager of a critical product line, owning the strategy, growth, and P&L for Streamlit in Snowflake. You will bridge the gap between a beloved open‑source community and the world’s most sophisticated enterprise customers, ensuring that building a data app in Snowflake is as easy as writing a few lines of Python.

Responsibilities
  • Define the Mission: Own the end-to-end strategy for making Streamlit in Snowflake the gold standard for building and running enterprise-grade data applications and AI agents.
  • Drive Massive Growth: Lead the charge and work with Sales, Marketing and Engineering to grow the Streamlit in Snowflake business.
  • Own the P&L: Manage the business outcomes for your area, identifying levers for adoption, retention, and monetization across thousands of enterprise accounts.
  • Architect for AI: Partner with the Cortex AI team to define how LLMs and agentic workflows integrate with Streamlit, enabling users to build using Snowflake’s native AI primitives.
  • Collaborate Across Boundaries: Act as the primary interface between the Open Source Streamlit team and the Snowflake Enterprise team to ensure a cohesive "one-Streamlit" experience. You will also collaborate with Compute, Networking, Identity and Access teams at Snowflake to define the E2E Streamlit in Snowflake experience.
Qualifications
  • 5+ years of Product Management experience in B2B SaaS, developer platforms, or cloud infrastructure.
  • Technical Robustness: A strong understanding of cloud infrastructure and the Python ecosystem. You are comfortable discussing technical tradeoffs with senior engineers and have at least a basic proficiency in writing Python code.
  • A Growth Mindset: A proven track record of taking ambitious products to commercial success at scale.
  • Dual-Lens UX Focus: High-judgment design skills. You can empathize with a developer using a CLI/SDK and an analyst using a low-code workspace, ensuring the "it just works" experience for both.
  • Analytical Rigor: You are data-driven and comfortable using metrics and AI-assisted analysis to identify growth gaps and prioritize a roadmap under ambiguity.
  • High Ownership: You are resilient, low-ego, and thrive in an environment where you are accountable for end-to-end outcomes, good or bad.
Bonus Points
  • Prior experience with Streamlit (OS or Enterprise) or similar Python app frameworks (Shiny, Dash).
  • Experience in the AI/ML space, particularly with LLM orchestration or agentic frameworks.
  • Background in Marketplace or Native App ecosystems.
  • Prior experience at a high-growth developer-centric company (e.g., Applications Infrastructure or a major Hyperscaler).
Why Join This Team?

This is a rare opportunity to own a P&L for one of the fastest-growing areas within the Snowflake AI Data Cloud. You will be at the cutting edge of the technological shift toward AI-powered applications, working with a highly capable engineering team to capture a market of 10 million Python developers globally. If you want to build the "standard" for how the enterprise interacts with data, this is the role for you.

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

Compensation
  • Estimated base salary range: $200,000 - $287,500.
  • Eligible to participate in Snowflake’s bonus and equity plan.
Benefits

Competitive benefits package that includes medical, dental, vision, life and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.

Additional Information

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.

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