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Manager Streamlit Jobs (NOW HIRING)

Streamlit

Senior Data Engineer - Product

Menlo Park, CA

$168K - $241.50K/yr

Own and manage cost optimization for Product and Data Science team operations. * Optimize pipelines ... Build and maintain dashboards and reporting platforms using Streamlit. * Collaborate with cross ...

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Genesis10

Developer - Databricks

Jersey City, NJ · On-site

$82.44 - $86.44/hr

The ideal candidate will leverage advanced Python, Kubernetes, Streamlit, and Django to support enterprise data, risk, and compliance platforms within the banking sector. This position will manage ...

Syntricate Technologies

Snowflake Architect

Saint Paul, MN

$64.25 - $82.75/hr

Position- Snowflake Architect Duration-Contract Location- Saint Paul, MN Snowflake certified professional with expertise in Streamlit, proficiency in Python. Proficient in managing Containers and ...

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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.

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Manager Streamlit jobs near you
Infographic showing various Manager Streamlit job openings in the United States as of May 2026, with employment types broken down into 3% As Needed, 94% Part Time, 2% Temporary, and 1% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution.
Senior Product Manager - Streamlit

Senior Product Manager - Streamlit

Snowflake

Menlo Park, CA • On-site

$200K - $287.50K/yr

Full-time

Posted 17 hours ago

Job description

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
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.
AS A SENIOR PM AT SNOWFLAKE, YOU WILL:
  • 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.

OUR IDEAL CANDIDATE HAS:
  • 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.
Every Snowflake employee is expected to follow the company's confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company's data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
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?
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

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