Gallup
Staff Engineer — Product Engineering
$240K–$300K
San Francisco · Staff · Full-time · Posted Aug 31, 2026
- Experience
- At least eight years of professional software engineering experience; demonstrated impact at a staff or equivalent cross-team scope.
- Education
- Bachelor's degree in computer science, computer engineering or a related field, or equivalent experience.
About the job
Provides cross-team technical leadership and hands-on engineering across product initiatives, while shaping engineering practices, architecture, and the use of AI-assisted development.
What you'll do
- Advise the head of engineering and guide teams on architecture and technical direction across concurrent initiatives.
- Promote effective AI-assisted engineering, mentor senior engineers and tech leads, and establish shared technical practices.
- Evaluate emerging tools and patterns, shape product priorities using data, and contribute hands-on to critical initiatives.
What they ask for
- Bachelor's degree in computer science, computer engineering or a related field, or equivalent experience.
- At least eight years of professional software engineering experience, with demonstrated impact at a staff or equivalent cross-team scope.
- Track record of influencing technical direction across teams without direct management authority; experience mentoring senior engineers and technical leads.
- Hands-on production experience with AI-assisted development tools; strong system design and architecture fundamentals.
- Commitment to working on-site at Gallup’s San Francisco office at least three days per week.
Nice to have
- Experience partnering with an engineering leader in an advisory, thought-partner capacity.
- Experience with identity and access platforms (such as Auth0 or Okta), survey or assessment-driven products, or large-scale platform migrations.
Pay
$240,000-$300,000 USD annual salary
Tools
AI-assisted development tools, Auth0, Okta
AI focus
Set standards for AI-assisted engineering, apply AI tools where they improve speed, and partner on governance and best practices while maintaining human judgment.
Model-written summary · the original posting is authoritative