Staff Software Engineer - Workspaces

Job Summary

Snowsight is the perfect place for data professionals to do their best work. In this role, you'll be making it even better by reimagining existing Snowsight experiences and extending it to exciting new surfaces.

Responsibilities

• Act as a technical leader and deep domain expert across the stack, owning an area of the product end-to-end with an eye toward service health, quality, and customer experience.
• Lead large, cross-team projects from architecture through delivery — identifying opportunities, making the right trade-offs in the context of overall company goals, and driving them to completion.
• Leverage agentic AI to accelerate your work (and the team's) across the tech stack, including (but not limited to) Go, React, and Java — and set the bar for how the team builds with AI.
• Partner deeply across disciplines, including design and product management, to find the sweet spot that helps us build the right thing, the right way, at the right cost.
• Anticipate customer needs and future demands, translate them into our plans, and identify systemic issues that affect reliability and customer experience — working across teams to deliver enduring solutions.
• Develop expertise in others: mentor engineers, raise the bar through code and design reviews, and act as a gatekeeper of standards, consistency, quality, and design while being perceived as a value-adder, not a blocker.
• Build fast products that scale to wild success.

Requirements

• 10+ years of hands-on software development experience, including significant full stack software development leveraging responsive design.
• Bonus points if you've shipped mobile experiences leveraging AI.
• Demonstrated track record of leading large or very complex projects that span multiple teams, with a clear pattern of driving them to successful outcomes.
• Deep understanding of modern web application architecture, good API design patterns, security, performance, and scale — and the ability to make principled trade-offs across them.
• Expertise in at least one significant area of a complex product, with broad enough technical range to contribute meaningfully outside your primary area when needed.
• Strong, demonstrated technical leadership: comfort with ambiguity, using data and analysis to drive decisions and build consensus, and proactively identifying and solving problems with limited oversight.
• Track record of developing expertise in others — mentoring senior and junior engineers, leveling up teams, and being the kind of teammate people seek out for hard problems.
• Strong written, verbal, and technical communication skills, with the ability to work effectively across engineering, product, and design.
• Knowledge of data development tools, data infrastructure, or ML is a plus.

Qualifications

• Knowledge of data development tools, data infrastructure, or ML is a plus.

Skills

• Strong written, verbal, and technical communication skills.
• Ability to work effectively across engineering, product, and design.
• Knowledge of data development tools, data infrastructure, or ML is a plus.

Benefits

• Medical, dental, vision, life, and disability insurance.
• 401(k) retirement plan.
• Flexible spending & health savings account.
• At least 12 paid holidays.
• Paid time off.
• Parental leave.
• Employee assistance program.
• Other company benefits.