
AI Product Manager
Posted Jul 27

Posted Jul 27
This is a fully remote position, open to applicants in United States.
• Act as the technical liaison for sales throughout the sales cycle, assisting in determining feasibility, outlining the production path, and establishing a practical engagement framework.
• Manage the strategic and feasibility aspects of technical discussions with prospects and clients, including use case alignment, sequencing, data needs, realistic timelines, and risk assessment.
• Guarantee that what is scoped and sold is deliverable, avoiding commitments that are unrealistic.
• Conduct structured discovery sessions with client stakeholders in active engagements to identify AI use cases, collaborating across departments to grasp pain points, workflows, and data environments.
• Develop and maintain a prioritized use case backlog for each engagement, assessing opportunities based on feasibility, data readiness, and potential business impact.
• Create precise product specifications that convert business challenges into technical requirements for engineering, detailing inputs, outputs, constraints, and success metrics.
• Lead iterative development cycles, collaborating closely with the technical team on prompt engineering and agent design decisions.
• Define what success means for each AI deployment, linking model performance to the business outcomes that matter to the client.
• Act as the bridge between business stakeholders and engineering, ensuring technical teams deliver valuable solutions and business leaders grasp what is achievable.
• Over 3 years of experience in product management, technical program management, or a related field, with direct involvement in AI or ML products.
• Familiarity with contemporary AI systems—understanding the capabilities and limitations of LLMs and agents—and the ability to adapt this knowledge as technology progresses.
• Demonstrated ability to engage in technical discussions with credibility without being an engineer: asking pertinent questions, evaluating feasibility, and recognizing when to escalate issues.
• Excellent written and verbal communication skills—clear, straightforward, and devoid of jargon when interacting with both executive stakeholders and technical teams.
• Experience in managing multiple simultaneous client projects or engagements without compromising quality.
• Competitive salary (base salary plus performance incentives linked to client outcomes).
• Equity options in a rapidly growing AI services firm.
• Exposure to diverse industries and impactful AI challenges.
• Opportunities for travel for on-site client engagements (if desired).
• A collaborative, mission-driven team dedicated to the real-world impact of AI.
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