Staff Product Manager, Storage & Edge Data Platforms

Fastly, Inc.; San Francisco (CA); Hybrid; USD 211,000 - 254,000; Full time

Benefits offered by this job

Equity program

Discretionary bonus

401(k) with match

Employee Stock Purchase Program

Vacation policy

Paid holidays

Wellness days

Paid sick leave

Job summary

Fastly, Inc. is seeking a Staff Product Manager for Storage and Edge Data to own the Storage and edge data product lines, including Fastly Object Storage and related KV/Config/Secret stores. You will drive requirements, roadmaps, and capabilities to store, manage, and access data close to end users.

The role emphasizes data-driven decision making, cross-functional leadership, and collaboration with sales and marketing to grow the product portfolio and revenue.

Qualifications

• 5–8 years of product management experience.
• Experience with SaaS/PaaS/IaaS products.
• Experience on large-scale distributed systems, cloud storage, data infrastructure, networking, or security.

Responsibilities

• Define strategy and roadmap for Fastly Object Storage and edge data products.
• Collaborate on cross-functional roadmap with product and engineering teams.
• Gather customer requirements through research and conversations and translate to product requirements.
• Define and monitor product success metrics using data-driven goals.
• Evaluate vendor and infrastructure tradeoffs balancing performance, cost, and reliability.
• Collaborate with Sales and Product Marketing to drive product growth.
• Lead cross-functional and distributed teams with collaborative leadership.

Skills

PM experience

SaaS/PaaS/IaaS

Distributed systems

Object storage

S3-compatible

Data store

Education

Bachelor's degree in CS/Math

Equivalent experience

Job description

Fastly, Inc. is seeking a Staff Product Manager for Storage and Edge Data to own the Storage and edge data product lines, including Fastly Object Storage and related KV/Config/Secret stores. You will drive requirements, roadmaps, and capabilities to store, manage, and access data close to end users.

The role emphasizes data-driven decision making, cross-functional leadership, and collaboration with sales and marketing to grow the product portfolio and revenue.