Staff Software Engineer, Intelligence Tooling and Enablement

About Outreach

Outreach, founded in 2014, is the only complete agentic AI platform for revenue teams. Outreach infuses agentic AI, conversation intelligence, and assistive AI to power hundreds of use cases across revenue motions. From new logo prospecting to expansions, deal acceleration, driving retention, and forecasting, Outreach AI automates workflows and frees sellers to focus on more strategic conversations and actions. Revenue leaders benefit from connected account visibility, performance insights, and higher forecasting accuracy across every GTM team. World leading enterprise organizations use Outreach to power their revenue teams, including Databricks, SAP, Siemens, and Verizon to name a few.

About the Team

The Intelligence Tooling & Enablement is a new internal-facing platform team dedicated to introducing and enabling various AI based solutions to the entire engineering organization. This Team will be focused on defining a vision and modernize software development process by creating services, adjusting processes, documentation, or whatever else is helpful in order to transform Outreach Engineering into an AI first organization. This wide and intentionally vague charter encompasses a slew of evolving topics. We try to proactively get ahead and build the tooling, systems, and training needed for all our engineering teams to adopt a new era of software development and set them up for success by improving development workflow.

Primary areas of coverage

Build AI solutions and integrate into development life cycle

Your Daily Adventures Will Include

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Directly contributing to the vision, strategy and roadmap for the Intelligent Tooling and Enablement Team
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Driving excellence by providing quality code, performance, maintainability
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Identifying common themes in upcoming projects and building common frameworks to help teams build them faster
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Working with engineering teams to find out where we need to invest in more tooling
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Triaging feedback and bugs from users
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Engaging with the open-source community
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Building reliable core service libraries so feature teams can focus on business logic

Our Vision Of You

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Experience maintaining shared libraries, especially open-source libraries

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Experience with container-based workflows and services, especially Kubernetes

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Experience building production monitoring to track service and website health

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Experience with Golang (used extensively by the Dev Tooling team)

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Familiarity with Typescript, Python, and Ruby (used elsewhere in the company)

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Hands-on experience with AI coding assistants, AI-based testing tools, and automation frameworks used in modern software engineering.

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Familiarity with modern AI technologies such as LLMs, prompt engineering, RAG architectures, model evaluation, and AI-assisted development tools.

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Strong knowledge of development workflows including planning, coding, testing, CI/CD, and deployment.

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Experience with modern cloud environments and AI infrastructure (AWS, Azure, or GCP).

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Understanding of how to connect AI systems with enterprise data sources (documentation systems, code repositories, ticketing systems).