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Growth Engineering, Senior Staff Software Developer

Workiva
Remote - IA, United States, United StatesRemotefull_timeVerifiedPosted 12 Aug 2026

About the role

The Growth Engineering team is focused on bringing new AI-driven product ideas to life—from early experimentation through to scalable, customer-facing solutions. Engineers on this team work across the full product lifecycle, balancing rapid iteration with thoughtful system design. As a Senior Staff Software Developer, you’ll define architecture, guide technical strategy, and make high-impact contributions to products that are still taking shape.

We’re looking for a Senior Staff Software Developer who can lead across complex technical work, leading the design, development, and scaling of AI-powered applications and agent-driven experiences built on the Workiva platform. This role is ideal for an experienced engineer who thrives at the intersection of hands-on building and technical leadership. Someone who can navigate ambiguity, drive architectural decisions, and influence across teams to deliver meaningful business outcomes.

What You’ll Do

Deliver outcomes

  • Partner with engineering teams to co-deliver complex work across platform modernization, product evolution, and new product initiatives.

  • Adapt your approach to match the needs of the work, whether the priority is speed, scale, or long-term maintainability.

  • Use AI-native development practices to build automation, validation, and engineering harnesses that improve quality and leverage.

  • Help establish thoughtful code review and pre-production quality practices that support fast, reliable delivery.

Execute technical strategy

  • Lead technical direction for large, cross-team initiatives aligned to long-term platform strategy.

  • Design systems that balance flexibility, scalability, and maintainability.

  • Anticipate future constraints and evolve architecture before problems reach scale.

  • Identify and resolve performance, reliability, and architectural bottlenecks.

  • Drive early-stage exploration for ambiguous problems, including work where the answer becomes clear through prototyping and building.

Develop AI systems and platform enablement

  • Build infrastructure that embeds AI into engineering workflows.

  • Design tools and patterns that reduce manual effort through automation and intelligent assistance.

  • Create guardrails that support safe, reliable AI-assisted development.

  • Help define system behavior by capturing specifications from code, tests, logs, and the people closest to the work.

Influence and lead

  • Raise the technical ceiling of the teams around you.

  • Drive alignment across teams and influence key technical decisions.

  • Reduce ambiguity and help teams make better decisions faster.

  • Create durable artifacts such as runbooks, decision logs, and tests that can be handed off and evolved by others.

  • Share context across product domains to help solve problems more effectively.

What You'll Need

Minimum Qualifications

  • 6+ years of experience building and scaling enterprise software systems.

  • Experience leading technical strategy and architecture across teams.

  • Hands-on experience with agentic AI development, including shipping real work with AI as a primary development collaborator.

Preferred Qualifications

  • Experience driving high-impact initiatives across multiple teams

  • Experience improving engineering quality through TDD, BDD, load testing, stress testing, chaos testing, invariant testing, mutation testing, or similar approaches.

  • Strong systems thinking and judgment, including awareness of second-order effects.

  • Demonstrated proficiency in at least two delivery modes: platform modernization, iterative product evolution, and high-ambition greenfield development.

  • Ability to operate as a force multiplier for other engineers.

  • Depth in a domain that materially improves system design or developer experience.

  • Proven experience operating at Staff+ level across multiple teams or domains.

  • Strong background in distributed systems and platform architecture.

  • Experience inferring behavioral specifications from existing systems through code, tests, logs, and subject-m

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Company

Workiva

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