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

• Evaluate new AI solutions appearing on the market

• introduce tooling for administration such as performance or AI credit consumption monitoring

• Defining and tracking operational excellence standards

• The charter is wide, the opportunities for organizational impact are boundless, and we have your back to try new things and see if they stick and do, in fact, make everyone more efficient.
  

The Role

We are looking for a highly skilled and experienced Software Engineer to contribute as part of this new team to help offer a great service and experience to their fellow colleagues in the other feature engineering teams. Here you are expected to have a real impact on the engineering platform, helping evolve our technology stack and build reusable components that help the other backend teams.

This role will pave the way to improving the developer experience by creating internal frameworks, SDKs, pipelines, and platforms that accelerate the entire AI development lifecycle.

If a wide leeway to improve developer productivity and production reliability sounds exciting to you, come talk to us!

• Experience maintaining shared libraries, especially open-source libraries

• Experience with container-based workflows and services, especially Kubernetes

• Experience building production monitoring to track service and website health

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

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

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

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

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

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

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