Staff Engineer — Product Engineering

GallupTownship 1, NE
$180,000 - $220,000Hybrid

About The Position

Gallup's engineering organization builds the products that put Gallup's science into people's hands: CliftonStrengths®, employee engagement platforms, and the reporting and coaching experiences that turn decades of research into something people use every day. This role is for someone who wants a seat that serves people around the globe and moves with the biggest technical problems in the organization instead of staying put on one team's roadmap. We're looking for a staff engineer to work day to day with our head of engineering as a technical thought partner across a sizable engineering organization, moving to wherever the next product initiative needs strong technical judgment most, whether that's building out new platforms, creating new product experiences or implementing new capabilities. This is a horizontal, cross-team role, not a single-team ownership role. You'll mentor senior engineers and tech leads across the organization, help set the standard for how Gallup engineers use AI to build better and faster, and partner with our AI Infrastructure team on the governance and best practices that keep AI-assisted development moving fast without cutting corners. You'll also stay closely connected with our Data Platform team, so we consistently bring the right data and insight to bear across our initiatives, and you’ll contribute to modernizing shared platform foundations like identity and access along the way. Above all, you'll be expected to surface opportunities we haven't asked for yet: new tools, techniques or architectural approaches from your own experience that could shape how we work here.

Requirements

  • Bachelor's degree in computer science, computer engineering or a related field, or equivalent experience, required
  • At least eight years of professional software engineering experience, with demonstrated impact at a staff or equivalent cross-team scope, required
  • Track record of influencing technical direction and aligning multiple teams without direct management authority required
  • Hands-on experience using AI-assisted development tools in real production work, with the judgment to know where to trust them and where not to, required
  • Experience mentoring senior engineers and technical leads and building shared technical standards across a group required
  • Strong system design and architecture fundamentals, with comfort moving across different parts of a stack as initiatives demand required
  • A commitment to working on-site at Gallup’s Omaha office at least three days per week required

Nice To Haves

  • Experience partnering closely with an engineering leader (head of engineering, director, or vice president) in an advisory, thought-partner capacity preferred
  • Experience with identity and access platforms (such as Auth0 or Okta), survey or assessment-driven products, or large-scale platform migrations preferred

Responsibilities

  • Partner directly with the head of engineering as a technical thought partner across multiple concurrent initiatives, not tied to a single team's backlog
  • Provide hands-on technical guidance to engineering managers, tech leads and senior engineers across teams, especially on architecture decisions with cross-team consequences
  • Bring effective AI-assisted engineering practices into the teams you work with, using AI where it genuinely speeds things up and keeping human judgment as the check
  • Lead a community of practice for senior engineers and tech leads, creating space for shared standards and technical growth outside the reporting line
  • Hunt down emerging tools, techniques and architectural patterns before anyone asks you to, and bring concrete, evaluated recommendations back to engineering leadership
  • Shape what gets built next and how we'll know it worked, championing data and instrumentation as the basis for those calls
  • Step into critical initiatives as a hands-on contributor when the problem calls for it, from early design through to production
  • Translate high-level technical strategy (platform consolidation, identity and access modernization, AI tooling adoption) into concrete guidance teams can act on

Benefits

  • medical, dental, vision, life and other insurance options
  • a fully vested 401(k) retirement savings plan with company matching
  • an employee stock ownership program
  • family-building benefits
  • an employee assistance program
  • various reimbursements and activities that enhance our associates’ wellbeing
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service