Agent Engineer

Profound•San Francisco, CA

6d•$140,000 - $200,000•Onsite

About The Position

As an Agent Engineer at Profound, you will work directly with customers who have purchased the Agents product and help deploy it effectively to drive business outcomes. This customer-embedded role combines customer success, strategy, and technical implementation. You will identify valuable agent use cases with customers, design solutions, and build working implementations in the Profound platform. You will own outcomes and deployments where possible, collaborating with Engineering and handing off work when requirements exceed your technical depth. Early customer use cases will help shape the evolution of the Agents product.

Requirements

Experience in client-facing roles such as consulting, solutions, strategy, implementation, or customer success.
Comfort working with ambiguity and early-stage products.
Strong problem-framing skills and the ability to turn vague goals into concrete plans.
Technical fluency without needing to be a full-time engineer, including experience building with low-code or no-code tools, workflows, scripts, or APIs.
Hands-on experimentation with AI tools, agents, or automation systems.
Clear communication skills and the ability to translate effectively between customers and engineers.
Enjoy being embedded with customers and owning outcomes end to end.

Nice To Haves

Background as a strategy consultant with technical projects, solutions architect, forward-deployed engineer, or operator who has built scrappy internal tools.
Experience with tools like Cursor or Claude Code.

Responsibilities

Work with customers to understand their goals, workflows, and AI visibility challenges.
Translate ambiguous customer needs into concrete agent-based use cases that deliver measurable business impact.
Determine what should be built and why before deciding how to implement it.
Design agents for use cases such as AI visibility and competitor-ranking alerts, content-gap identification, content drafting informed by AI visibility data, and crawling and analyzing content for optimization opportunities.
Configure and build agents in Profound’s workflow platform by connecting nodes, APIs, data sources, and outputs.
Rapidly prototype and deploy solutions directly with customers in a forward-deployed model.
Own deployments end to end where possible, and scope and hand off work to Engineering when requirements exceed your technical depth.
Serve as the primary post-sale partner for Agents customers during deployment.
Turn successful customer deployments into repeatable patterns and internal best practices.
Provide Product and Engineering with feedback on gaps, friction points, and roadmap priorities surfaced through customer work.