AI Product Engineer

• Join our AI Task Force to build production AI systems that improve how we develop software and work with data. You’ll design and ship autonomous agents, tool harnesses, and intelligent workflows that solve real problems for our teams
• A core part of this role is working closely with internal teams—understanding their workflows, identifying where agents can help, and building solutions tailored to their needs. You’ll need to think critically about how LLMs actually work, what they’re good at, and where they fall short
• Our team builds with Claude Code, Cursor, and other AI-assisted development tools daily—you should be deeply comfortable in these environments and excited to push them further
• Build and deploy AI agents using modern agent SDKs (Claude, OpenAI, or similar) with custom tools and function calling
• Design and build tool harnesses and execution environments for agents—both on desktop (local CLI, IDE integrations) and in the cloud (containerized, API-driven)
• Partner with internal teams across the organization to understand their workflows, identify automation opportunities, and build agents tailored to their use cases
• Think critically about LLM capabilities and limitations—understand the differences between models, when to use which, and how to get the best results from each
• Develop context engineering strategies—understanding how to give LLMs the right information at the right time within token limits
• Build and maintain custom tool libraries that agents can use to interact with internal systems, APIs, and data sources
• Deploy and manage agents in cloud environments with proper monitoring, error handling, and cost controls
• Optimize LLM costs and performance through prompt engineering, caching, and smart model selection

Benefits

• Health Coverage: We have several choices of medical, dental, and vision plans with a range of coverage levels and costs, including a 100% employer-covered plan.
• Wellness & Lifestyle Perks: Our wellness programs are designed to help you maintain or move toward a healthy lifestyle through mindful meditations, gym access, and other assistance when you need it!
• Company Equity Plan: We believe in shared success. We want our employees to not just work for us, but to truly be part of our growth story.
• Volunteer Days: We’re committed to making a positive impact, both in and outside the workplace!
• Flexible Time Off: We encourage a healthy work-life balance which empowers our teams to recharge when needed and thrive both personally and professionally.
• Team & Company Events: We love to hang out together! We provide many opportunities to get to know each other whether virtually or in person.- You use Claude Code and Cursor daily—you’re deeply comfortable with AI-assisted development, including headless mode, multi-file editing, and MCP server integration
• Familiarity with observability tools for LLM applications
• Media, ad tech, or streaming data domain knowledge
• You’re comfortable working across cloud platforms (GCP, AWS, Azure) and containerized environments
• You stay current with the rapidly evolving AI landscape and bring new ideas to the team
• You think critically about LLMs—you understand how they work under the hood, not just how to call an API
• You’ve built AI agents and shipped them to production—not just prototypes
• You have strong product sense—you focus on what users actually need, not just what’s technically interesting
• You communicate clearly—you can explain complex AI systems to anyone in the company
• You understand the differences between models (Claude, GPT, Gemini, open-source) and can reason about which to use for a given task
• You take ownership and drive things from idea to measurable impact
• You’ve deployed agents in cloud environments and dealt with the real-world challenges that come with it
• You’ve built tools, harnesses, or scaffolding that agents use to accomplish tasks
• You’re pragmatic—you ship 80% solutions quickly and iterate based on feedback
• Experience with advanced agent patterns or multi-agent systems
• Open-source contributions to AI/ML projects
• You can sit with a non-technical team, understand their pain points, and translate that into an agent that actually helps
• Experience building and configuring MCP (Model Context Protocol) servers