Agent Engineer

Profound is the fastest-growing AI marketing platform, used by 15% of the Fortune 500 including Comcast, Estée Lauder, and Walmart, and innovators like Ramp, MongoDB, and Figma. It is where marketing teams do the work: research, briefs, content, campaigns, reporting, all in one place, alongside agents that carry the load with them.

Built on 2B+ real user prompts and growing, Profound’s data shows you what people ask AI and what the models say back. Profound's AI Marketer joins that data with deep context about our customers to find the opportunities worth acting on, and then puts agents to work: automating reporting, drafting content, auditing pages for readability, running competitive research. It measures what works and gets better every day.

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.

What you’ll do

• 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

Who you are

• 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 SF office, designed for builders who thrive on speed, iteration, and meaningful impact.

For this role, the expected base salary range is $140,000 to $200,000 (NYC). Profound’s total compensation package is designed to be competitive and includes base salary, equity, and a full range of benefits and perks. Final compensation will depend on factors such as your skills, experience, qualifications, and location, and will be determined during the interview process. Our recruiting team will share more details about the full compensation package and benefits as you move through hiring.