Member of Technical Staff (Software Engineer, Enterprise AI Products)
At a glance
Senior Software Engineering role at Perplexity. San Francisco · full-time · $220,000–$405,000 base.
techroles summary, based on the employer's posting.
What you'll do
- Build AI features inside Slack, Microsoft Teams, Microsoft Office and MCP server so teams can use agents in their everyday work
- Create automations for recurring tasks, including scheduled or event-started runs, approval steps and progress tracking
- Develop shared agent workflows where colleagues can assign work, review outputs and hand tasks between people and agents
- Work with customers to test ideas, then take proven solutions from initial design through full-stack delivery and reliable production use
- Use customer feedback and experiments to improve activation, repeat use and task completion
What you bring
- At least four years of software engineering work, including products you have taken from early development through launch
- You have shipped applications using LLMs or agents and improved their quality through evaluation and user feedback
- You can design software systems and build across backend services and user-facing applications, using Python or Go
- You can turn unclear customer problems into straightforward product experiences and move between customer discovery and implementation
Who this fits
This senior role suits an engineer who can own a product from customer problem through launch and production, and who is comfortable working directly with customers. You’ll collaborate with product, design, sales and engineering teams.
From the employer
About the Role
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 next. 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.
Key Responsibilities
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.
Qualifications
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.
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.
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.
Experience with enterprise, growth, or collaboration products is a plus.
If you're excited about this role, we encourage you to apply even if your experience doesn't match every qualification listed above.
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