Senior AI Engineer (AI Automation).

Accountabilities

• Design, build, and maintain AI-powered agents, automations, and applications that improve workflows across Product, Product Marketing, and Design.

• Identify repetitive manual processes and transform them into reliable automated solutions, allowing teams to focus on customer needs and higher-value decisions.

• Develop tools that give non-technical teams direct access to customer insights and relevant data to support better-informed product and marketing decisions.

• Translate requests and requirements from non-engineering stakeholders into effective technical solutions, identifying the underlying needs and opportunities.

• Build reusable components and shared infrastructure that accelerate future development and reduce duplicated work.

• Develop prototypes rapidly, turning early concepts into working solutions within hours where possible.

• Deploy and improve shared agents and applications in production, responding quickly to user feedback and issues.

• Collaborate closely with engineering teams to maintain production standards, participate in code reviews, and ensure solutions are reliable and maintainable.

• Own projects and technical problems from discovery through delivery, adoption, and ongoing improvement.

• Establish priorities independently and communicate progress through asynchronous channels, including Slack and written documentation.

• Work toward measurable adoption, including delivering tools that become part of teams’ regular workflows within the first 90 days.

Requirements:

• Strong software engineering experience in Python or TypeScript, with a track record of delivering production-quality code.

• Advanced practical AI fluency, including experience building agentic solutions using current frontier models.

• Hands-on knowledge of AI development concepts and technologies such as Model Context Protocol (MCP), retrieval, evaluations, and observability.

• Demonstrated experience building AI-powered tools or applications; candidates should be prepared to share examples of their work.

• Daily experience using AI-assisted coding tools such as Claude Code or Cursor.

• Experience gathering requirements from non-technical stakeholders and translating them into practical technical solutions.

• Strong judgment in identifying where AI can deliver meaningful value and where conventional approaches are more appropriate.

• Proven ability to develop solutions that non-technical teams adopt and continue using.

• Senior-level ownership, including the ability to manage ambiguous problems, make independent decisions, and deliver outcomes with limited direction.

• Strong communication and collaboration skills, with the ability to work effectively across Product, Marketing, Design, and Engineering.

• Comfort working in a fast-paced, high-ownership environment where priorities may evolve quickly and experimentation is encouraged.

• Ability to collaborate with a globally distributed team and maintain approximately six hours of working-hour overlap with the relevant team schedule.

• Willingness to work within an async-first environment, with no travel, onsite attendance, or on-call responsibilities required.

Benefits:

• Fully remote work environment within a globally distributed, async-first organization.

• High ownership and autonomy, with the opportunity to set priorities and lead problems end to end.

• Direct collaboration with Product, Product Marketing, Design, and Engineering teams.

• Opportunities to work with advanced AI technologies and build solutions that have a measurable impact on how teams operate.

• Strong emphasis on experimentation, continuous learning, craftsmanship, and professional growth.

• No required travel, onsite attendance, or on-call duties.