Why This Job is Featured on The SaaS Jobs
This Staff Product Manager role sits at the infrastructure layer of SaaS, where orchestration is increasingly the control plane for data engineering, analytics, and AI workloads. Building pipelines and workflow management natively inside a cloud platform is a strategic direction across the modern data stack, and Snowflake’s focus on evolving Tasks into an end to end system places the work at the intersection of platform reliability, developer experience, and customer productivity.
For SaaS product leaders, orchestration is a durable domain that sharpens skills in designing primitives, APIs, and opinionated abstractions that other teams and customers build on. Ownership of a platform surface that touches multiple workload types also develops a practitioner’s ability to balance extensibility with simplicity, and to translate complex technical constraints into product strategy that scales across a broad user base.
This role is best suited to senior product managers who prefer deep technical problem spaces and are comfortable acting as a clear single owner across many stakeholders. It will fit professionals motivated by long horizon platform bets, iterative experimentation, and close partnership with engineering teams working on data and AI infrastructure rather than end user application features.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
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.
Snowflake is redefining how data is stored, processed, and activated. We are building a next-generation pipelines and orchestration platform—native to Snowflake and designed for the modern data and AI stack.
We are looking for a Staff Product Manager to further evolve Snowflake Tasks into a full end-to-end orchestration system that powers data engineering, analytics, machine learning, and AI workloads.
This is a high-impact, high-ownership role where you will define the product vision, drive the roadmap, and work cross-functionally to deliver a unified orchestration experience for Snowflake customers.
WHAT YOU'LL DO
Define and drive the product vision and roadmap for pipelines and orchestration in Snowflake
Evolve Snowflake Tasks into a full-featured orchestration platform supporting complex workflows and dependencies
Simplify how customers build pipelines by moving toward declarative, native orchestration models
Partner closely with data engineering, ML/AI teams, and other platform groups to deliver end-to-end solutions
Drive adoption and growth of existing capabilities while identifying new opportunities for expansion
Act as the single-threaded owner (DRI) for this product area
WHY THIS ROLE IS EXCITING
Define the future of data pipelines: Help move the industry beyond fragmented tools toward a unified platform
Massive impact: Own a core layer of the Snowflake platform used by thousands of customers
Proven + growing business: Work on a product area that already generates significant revenue and is growing rapidly
0→1 + scale: Combine greenfield platform building with scaling an established product
End-to-end ownership: Operate as the sole PM with full responsibility for strategy and execution
Cross-functional influence: Collaborate across AI, ML, and core data platform teams
WHO YOU ARE
8+ years of product management experience (or equivalent experience in data platforms or engineering leadership)
Strong background in data pipelines, orchestration, or data infrastructure
Proven ability to:
Strong technical fluency (SQL, distributed systems, or data processing concepts)
Experience working with data engineering, ML, or AI workflows
Ability to operate as a highly autonomous owner in a complex, cross-functional environment
Excellent communication and stakeholder management skills
BONUS POINTS
Experience building developer platforms or internal tools
Familiarity with modern data stack architectures
Background in AI/ML pipelines or workflows
ABOUT SNOWFLAKE
Snowflake enables every organization to mobilize their data with the Snowflake Data Cloud. Customers use Snowflake to unify data, build data applications, and power AI-driven insights—all on a single platform.
We are investing heavily in data engineering and orchestration to make Snowflake the best place to build and run data pipelines at scale.
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
