Forward Deployed Product Manager

C
CaylentAI Cloud Services
We are a fully remote global company with employees in Canada, the United States and Latin America.Full-TimeSenior
Salary not disclosed
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Job Details

Experience
7+ years
Required Skills
Product Management

Requirements

  • 7+ years of professional product management experience, including time in client-facing, embedded, or consulting environments.
  • Direct experience improving product team operations, discovery processes, PDLC design, and specification practices.
  • Demonstrated ability or experience in using Agentic AI to facilitate product management activities.
  • Strong facilitation capabilities, including running working sessions with engineering and product stakeholders to extract signal from ambiguity.
  • Ability to write clean, executable technical specs and model effective practices for clients.
  • Technical fluency sufficient to scope prototypes with engineers, discuss architectural feasibility, and participate in lock sessions.
  • Experience with professional services, management consulting, or advisory roles is preferred.
  • Familiarity with AI-native product workflows like LLM-assisted requirements generation or spec-driven development.
  • Experience working with PE portfolio company environments or enterprise engineering organizations.
  • Hands-on familiarity with Claude Code or equivalent AI-assisted development tools is preferred.

Responsibilities

  • Lead the product workstream end-to-end for enterprise transformation programs, including current-state assessment, future-state PDLC design, and PM coaching.
  • Run discovery sessions with client stakeholders to shape delivery backlogs and define signed-off Sprint Charters.
  • Author clear, executable specs that drive prototype and MVP development.
  • Design and lead PM training curricula and enablement sessions using real-world delivery materials.
  • Identify and surface expansion opportunities during client engagements.
  • Refine product-facing agents used by the company, including spec generation and workflow automation tools.
  • Provide field feedback to improve agent design, prompt configuration, and scoping frameworks.
  • Contribute to internal methodology, including PDLC patterns, scoping frameworks, and design templates.
  • Support pre-sales activities involving product definition and PDLC maturity assessments.
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