Agent Engineer

Responsibilities

• Work closely 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
• Identify what should be built and why before focusing on how it should be implemented
• Design agents such as AI visibility and competitor-ranking alerts, content gap identification workflows, content drafting workflows informed by AI visibility data, and agents that crawl and analyze existing content for optimization opportunities
• Configure and build agents using 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 clearly 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 feedback to Product and Engineering on gaps, friction points, and roadmap priorities surfaced through customer work

Requirements

• Experience in client-facing roles such as consulting, solutions, strategy, implementation, or customer success
• Comfortable working with ambiguity and early-stage products
• Strong problem-framing skills, with the ability to turn vague goals into concrete plans
• Technical fluency without being 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 communicator who can translate effectively between customers and engineers
• Enjoy being embedded with customers and owning outcomes end to end
• Backgrounds such as strategy consultants with technical projects, solutions architects, forward-deployed engineers, or operators who have built scrappy internal tools are a strong fit
• Experience with tools like Cursor or Claude Code is helpful but not required
• Location
• This is an on-site role based in our NYC or London office, designed for builders who thrive on speed, iteration, and meaningful impact.
• Note: All official communication from Profound will come from a @tryprofound.com email address. If you're contacted by anyone using a different domain, please disregard and report it as spam.

Benefits

Additional Information

Profound is the marketing platform for the AI era. As people increasingly turn to ChatGPT, Perplexity, and Gemini to decide what to buy, we give brands the intelligence to see how AI represents them and the Agents to act on it. Today, ~13% of the Fortune 500, plus companies like Ramp, Figma, Chime, Calendly, and DocuSign, use Profound to turn AI Search from a black box into a measurable growth channel. Backed by Lightspeed, Sequoia, Kleiner Perkins, and Khosla Ventures at a $1B valuation, we're a lean, fast-moving team across NYC, SF, Buenos Aires, and London, shipping at a relentless pace and defining a new category at the biggest shift in marketing in 25 years. If you want to do the best work of your career at the frontier of AI, come build it with us. As an Agent Engineer, you will work directly with customers who have already purchased Profound's Agents product and need help deploying it effectively to drive real business outcomes. This is a high-impact, customer-embedded role at the intersection of customer success, strategy, and technical implementation. You will partner closely with customers to identify the highest-value use cases for agents, design solutions, and build working implementations inside the Profound platform. When work becomes deeply technical, you will collaborate with engineering, but you will retain ownership of outcomes and ensure deployments are fast, tailored, and clearly tied to customer value. Early customer use cases will directly inform how the Agents product evolves over time.

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