Technical Program Manager, Infrastructure & Data Services

Job Description

Technical Program Manager, Infrastructure & Data Services | Sigma

The Tone:
This is an early career role at Sigma, located in San Francisco, CA. Sigma delivers cloud-scale analytics and business intelligence, enabling non-technical users and data teams to explore, analyze, visualize, and collaborate with their data using a spreadsheet-like interface. This role is a launchpad for the next generation of Technical Program Managers, focusing on the operational aspects of the engineering organization, specifically for Infrastructure & Data Services programs. The successful candidate will be critical in improving execution to meet commitments and ensuring the delivery of high-quality products.

The TL;DR
• Role: Early Career
• Type: Temporary (3-month temp-to-hire)
• Location: In-person, San Francisco, CA
• Pay: $65–$70 hourly
• Team: Engineering organization (Infrastructure & Data Services focus), collaborating across multiple teams
• Mission: Owns the operational execution of infrastructure and data services programs to deliver high-quality products and achieve customer loyalty.
• Tech Stack: Public cloud, Snowflake, Redshift, Databricks

What You’ll Actually Do
• Develop: Develop roadmaps and execution plans for key Product Operations initiatives.
• Align: Align processes, tools, and best practices for product delivery and launch readiness across teams.
• Manage: Manage technical debt and platform modernization efforts for the frontend team.
• Facilitate: Facilitate communication and resolve dependencies between frontend, backend, and design teams.
• Identify: Identify process gaps, then shepherd change management and communication to maintain team alignment.

The Must-Haves
• Background: Recent graduate (within the last 12 months) of a Master’s degree program in Computer Science or a related field.
• Experience: 3+ years as a Technical Program Manager, Product Manager, or Software Engineer, with a track record in software engineering or project planning and execution.
• Skills: Deep understanding of the software development lifecycle (SDLC) and modern frontend technologies; experience with at least one public cloud and preferably one data warehousing platform (e.g., Snowflake, Redshift, Databricks); ability to analyze data and make informed recommendations; strong bias for action and ability to influence teams to improve execution.
• Bonus: A strong desire to learn new technologies and develop relevant job skills.