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Manager Streamlit Jobs (NOW HIRING)

Snowflake

Senior Product Manager - Streamlit

Menlo Park, CA · On-site

$149K - $196K/yr

Snowflake is a leading company in the data cloud sector, seeking a Senior Product Manager to lead the transition of Streamlit into an enterprise business. This role involves owning the strategy ...

Snowflake

Principal Engineer

Bellevue, WA · On-site

$250K - $380K/yr

Streamlit in Snowflake (SiS) is our flagship app development platform, enabling data engineers ... management at scale. * Strong understanding of container-based execution environments (Docker ...

BCForward

Python Developer

Phoenix, AZ · On-site

$65 - $70/hr

SQL/database design, API development, UI development (React, Angular or Streamlit), and Agentic AI ... and workforce management expert, to fuel the development and execution of core business and ...

Pivotal

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 ...

Rivian

Sr. Software Engineer,Data, Autonomy

Palo Alto, CA · On-site

$162K - $203K/yr

... 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 ...

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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.
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Manager Streamlit jobs near you
Infographic showing various Manager Streamlit job openings in the United States as of June 2026, with employment types broken down into 40% As Needed, 40% Temporary, and 20% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.
Senior Product Manager - Streamlit

Senior Product Manager - Streamlit

Snowflake

Menlo Park, CA • On-site

$149K - $196K/yr

Full-time

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

Job description

Job Summary:
Snowflake is a leading company in the data cloud sector, seeking a Senior Product Manager to lead the transition of Streamlit into an enterprise business. This role involves owning the strategy, growth, and P&L for Streamlit, ensuring a seamless experience for developers and enterprise customers alike.
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:
Required:
• 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.
Preferred:
• 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).
Company:
Snowflake is a cloud data platform that provides a data warehouse as a service designed for the cloud. Founded in 2012, the company is headquartered in San Mateo, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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