Software Engineer (Member of Technical Staff, Enterprise Adoption)
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- The Enterprise AI Products team builds products that make AI part of how teams work together, not just a tool people use on their own
- We bring Perplexity Computer into Slack, Microsoft Teams, Microsoft Office, and MCP server with helping teams collaborate with agents and automate work across conversations, documents, and business systems
- That includes workflows that start from a message or business event, carry out multiple steps, and bring people in for decisions and approvals
- You’ll build new products from the ground up, working directly with customers to understand their problems and shape what we build nex
- You’ll combine applied AI engineering with product judgment, moving quickly from prototypes to reliable products that solve recurring problems across many organizations
- Ownership extends beyond launch: you’ll use customer feedback and product experiments to improve the experience, grow adoption, and make Computer something teams depend on in their daily work
- Design and build AI-powered experiences in Slack, Microsoft Teams, Microsoft Office, and the MCP server bringing Computer into the tools where teams communicate, create, and coordinate work
- Build workflow and automation products that let teams delegate recurring, multi-step tasks to agents, including scheduled and event-triggered execution, human approvals, and visibility into progress and results
- Build shared agent experiences that let teams delegate work, review results, and build on each other’s workflows, with clear ownership and handoffs between people and agents
- Work directly with customers and internal teams to identify high-impact problems, validate ideas through rapid prototyping, and turn successful use cases into scalable, reusable products
- Own products end to end, from problem definition and technical design through full-stack implementation, launch, and production reliability
- Measure and improve activation, repeat usage, and workflow completion, using customer feedback and product experiments to drive sustained AI adoption
- Partner with Product, Design, Sales, and engineering teams to turn customer needs and emerging AI capabilities into reliable product experiences
- Strong software engineering and system design skills, with proficiency in Python or Go and the ability to work across backend services and user-facing applications
- 4+ years of software engineering experience, with a track record of building and shipping production products end to end
- Hands-on experience shipping applications with LLMs or AI agents, with good judgment about their capabilities and limitations and experience improving product quality through evaluation and user feedback
- Experience with enterprise, growth, or collaboration products is a plus
- Strong product judgment and the ability to translate ambiguous customer needs into simple, effective product experiences for users with different levels of technical expertise
- Comfort working directly with customers, moving quickly between discovery and implementation, and owning problems without a fully defined specification
- If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above