Forward Deployed Product Manager, AI Agent

About the role

You will own the end to end lifecycle of AI Agents deployed at enterprise scale, translating ambiguous customer problems into reliable automated outcomes. You will act as the primary product leader for AI Agent initiatives, ensuring each deployment drives measurable value for both Cresta and our customers. This role requires you to blend strategic product thinking with hands on execution while navigating complex enterprise environments. You will partner deeply with engineering and customer teams to define, validate, and evolve AI Agent capabilities in the field. You will be responsible for aligning agent behavior with customer workflows and business objectives on every engagement. You will bring creative problem solving to ambiguous situations and turn high level requirements into actionable implementation plans. Ultimately, you will take personal accountability for the success of each AI Agent you deploy and the long term relationships that emerge from those outcomes.

Key facts

What you'll do

• Own AI Agent outcomes for our customers by defining and delivering on the metrics that move the needle, actively seeking additional automation opportunities that unlock further value.
• Own the deployment lifecycle for AI Agents, guiding them from pre sale scoping and kickoff events through launch and ongoing post go live optimization.
• Design, build, test, and iterate on AI agents in partnership with Forward Deployed Engineers, leveraging Cresta's internal tools and emerging technologies to maximize customer return on investment.
• Lead customer relationships as the trusted point of contact for AI Agent initiatives, helping prospects and customers move faster to ensure timely and effective delivery.
• Facilitate workshops and design sessions with customer stakeholders to align on agent use cases, workflows, and success criteria while gathering feedback to continuously improve the AI agent platform.
• Work closely with Forward Deployed Engineers to ensure smooth implementation, build new capabilities as needed, and provide structured feedback to refine our broader platform.
• Improve our playbooks for agent development and customer deployment, creating reusable patterns and best practices that scale across engagements.
• Translate complex customer requirements into clear product specifications and acceptance criteria that engineering and design teams can execute against.
• Collaborate with product and engineering teams to prioritize the AI Agent roadmap based on customer impact, feasibility, and strategic alignment.
• Monitor agent performance in production, identify failure modes, and drive iterative improvements that enhance reliability and user trust.
• Partner with sales teams to develop compelling narratives and proof points that demonstrate the value of AI Agents to prospective clients.
• Document deployment learnings, capture success stories, and use data to refine positioning and product direction over time.

Requirements

• Bring 5 or more years of experience in Technology Consulting, Implementations, Product, or Customer Success roles, ideally working closely with AI or large language model products from the start.
• Operate with a hands on work style, maintaining curiosity and a bias for action while anticipating needs and bottlenecks, and delivering with urgency and care.
• Demonstrate experience leading complex deployments, owning customer relationships with senior stakeholders, and collaborating effectively across functions.
• Show a strong technical understanding and systems thinking, with exposure to building agents, where personal projects and practical experiments are valuable evidence.
• Remain comfortable working with ambiguity and learning quickly within a dynamic startup environment that moves at a fast pace.
• Exhibit a genuine passion for AI, automation, and shaping the future of customer experience through technology.
• Thrive in a role that demands ownership, accountability, and consistent follow through on commitments made to customers and internal partners.
• Communicate clearly and persuasively, both in writing and verbally, tailoring messages for technical and executive audiences alike.

Nice to have

• Highlight any background in product management, conversation design, or forward deployed engineering roles that directly support AI Agent initiatives.
• Include experience gained within a startup environment where you wore multiple hats and contributed beyond your formal job description.
• Reference previous work with enterprise customers in regulated or mission critical industries where reliability and security are paramount.
• Share examples of successful AI or automation deployments that resulted in clear business outcomes or efficiency gains.
• Demonstrate familiarity with conversational AI platforms, prompt engineering techniques, and evaluation frameworks for agent performance.
• Show an ability to mentor others by sharing playbooks, providing constructive feedback, and elevating the capabilities of cross functional teammates.

Practical notes

• This position is based in the United States and is fully remote, allowing you to work from anywhere within the country.
• Travel may be required to meet with key customers, participate in industry events, or support implementation activities as needed.
• Visa sponsorship is not available for this role at this time, so candidates must already be authorized to work in the United States.
• The engagement terms and specific compensation details are outlined in the source material and are to be confirmed through official offer processes.
• Deadlines for application review are not specified, so interested candidates should submit materials as early as possible to ensure full consideration.
• Hours are flexible but are expected to align with Cresta's operational needs, including occasional after hours support for critical deployments.
• You are expected to adhere to Cresta's internal policies and security guidelines while representing the company professionally in all interactions.