Staff Software Engineer, Intelligence Tooling and Enablement

About Outreach

Outreach, founded in 2014, is the only complete 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:

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  Build AI solutions and integrate into development life cycle

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  Evaluate new AI solutions appearing on the market

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

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  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!

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).

$165,000 - $220,000 a year

Why You’ll Love It Here

• Flexible time off

• 401k to help you save for the future

• Generous medical, dental, and vision coverage for full-time employees and their dependents

• A parental leave program that includes options for a paid night nurse, and a gradual return to work

• Infertility/ assisted reproductive services benefit

• Employee referral bonuses to encourage the addition of great new people to the team

• Snacks and beverages in the Office, along with fun events to celebrate

• Diversity and inclusion programs that promote employee resource groups like Outreach Women's Network, Latinx community, Outreach Black Connection, AAPI community, Pride/LGBTQIA+, Gender+, Disability Community, and Veterans/Military

Outreach is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Our success is reliant on building teams that include people from different backgrounds and experiences who can elevate assumptions and ideas with fresh perspectives. We're dedicated to hiring the whole human, not just a resume. To that end, we look for a diverse pool of applicants-including those from historically marginalized groups. We would like to invite you to apply even if you don't think you meet all of the requirements listed below. We don't want a few lines in a job description to get between us and the opportunity to meet you.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.