Senior Staff Software Engineer, Conversational Intelligence (Front-End)

The Role

Every month, Outreach customers complete more than 10 million calls and conduct more than 2 million meetings with their prospects through our platform. The Conversation Intelligence Team is hiring software engineers to increase its momentum in this space. If you love creating seamless e2e product features and would like to be part of building AI-assisted voice calling and meeting features for our customers on an intelligent platform backed by machine learning, we’d love to talk to you about this opportunity.

Real-time communications feature development is a little different from other more traditional feature development: The features we build are inherently heavy on state, complex in workflow, and include extensive third-party integrations. Additionally the experience interfaces with our intelligent service backed by machine learning and NLP to provide real-time insight to our users as the conversations are taking place. As a senior-staff engineer you are expected to architect, lead, develop and release features and ensure the quality of our product continues to serve the needs of our customers. 

You’ll be building features to ensure conducting calls and meetings is simple, intuitive, and reliable; reducing the time our customers have to look up information or performing repetitive actions so they can focus on what matters most - interacting with their prospects. To do this you’ll have to get a little creative, build on top of a lot of open source technology, and stay focused on Outreach’s core value proposition of revenue efficiency. Take a peek at our product so far, Outreach Kaia (Knowledge AI Assistant).

About the Team

On the Conversation Intelligence Team, the goal is to build the most intelligent assistant for the sales engagement domain. You’ll work closely with customers, applied scientists and product managers to shape the future of Kaia. You’ll own the features from design to the implementation and will have plenty of opportunities  to interact with customers directly. You’ll be exposed to the cutting edge technologies, in ML as well as in cloud driven development to help Kaia reach to the next level, both in conversational understanding and system scalability. We have plenty of tough challenges which require creative minds like yours to help us solve!

Our team's mission is to revolutionize sales team performance by building the AI-powered knowledge platform and conversational intelligence experience in Outreach. We aim to make sellers conversations with customers more effective and provide sales managers a true understanding of their teams customer conversations.

• Partnering with product managers, designers, and analysts to deeply understand the needs of our users and build a product that serves those needs
• Working with commercial and open-source real-time communication software to manage calls, meetings, and security
• Applying machine learning, NLP techniques and GenAI capabilities to create smart features
• Setting direction for the team and help guide engineering vision
• Finding quick ways to prototype and test possible solutions to large problems
• Looking up and down the stack for the best return on investment for any given pain point
• Working on one of the most visible parts of Outreach’s product - to both our customers and the rest of our organization.
• Improving the team and company – you will be an active participant in our culture (mentorship, interviewing, and new initiatives)
• Owning relationships with other engineering teams and collaborate with other functions within Outreach

• 10+ years of professional software development experience
• Previous success developing and shipping large-scale web applications and skilled with web technologies including Javascript/Typescript, HTML, CSS, and React (or framework of your choice)
• Experience with cloud-based service applications and shipping production quality code in Java, Go or C++
• Familiarity working with machine learning, NLP or GenAI
• Proven track record of senior technical leadership at a company with a strong engineering culture
• Strong knowledge of shipping impactful and complex software projects
• Ability to set technical and cultural standards for engineers