Forward Deployed Product Manager
C
CaylentAI consulting
Location: CanadaFull-TimeMiddle
SalaryThe expected base salary range for this position is CAD $155,000 - $170,000 per year, commensurate with experience and qualifications. Additional Compensation Components: In addition to the base salary, the compensation package may include bonuses, commissions, equity, and other incentives. The specific components will vary depending on the role and individual and/or company performance.
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Job Details
- Experience
- 7+ years of product management experience
- Required Skills
- Product Management
Requirements
- Have 7+ years of product management experience, including meaningful time in a client-facing, embedded, or consulting role.
- Have experience working directly with product teams on discovery processes, PDLC design, and specification practices.
- Have experience or demonstrated capability using Agentic AI to facilitate product management activities.
- Facilitate working sessions with product and engineering stakeholders, extract useful signal from ambiguous input, and drive decisions to sign-off.
- Write clean, executable specifications for engagement deliverables and as models for clients.
- Have technical fluency to scope prototypes with engineers and discuss architectural feasibility.
- Participate in spec-to-build handoffs and contribute to architecture lock sessions.
- Preferred: Have a background in professional services, management consulting, or embedded advisory work.
- Preferred: Have experience redesigning how a product function operates within another organization.
- Preferred: Be familiar with AI-native product workflows such as spec-driven development, LLM-assisted requirements generation, or agentic product tooling.
- Preferred: Have experience with PE portfolio companies or enterprise engineering organizations navigating modernization.
- Preferred: Have hands-on familiarity with Claude Code or equivalent AI-assisted development tooling.
Responsibilities
- Lead product workstreams on enterprise transformation programs, assessing current product-team practices and designing future-state PDLC.
- Coach product managers in shifting to strategic orchestration of AI-assisted development.
- Lead discovery with client stakeholders and shape delivery backlogs into signed Sprint Charters.
- Write specifications that drive prototype and MVP development.
- Design PM training curricula and lead enablement sessions using real delivery work.
- Define and refine product-facing agents for idea consolidation, spec generation, PM workflow automation, and agent prioritization.
- Provide field feedback on agent design, prompt configuration, and scoping frameworks.
- Co-own product spec artifacts for Caylent's practice IP.
- Improve product workstream methodology, scoping frameworks, and future-state design templates using field patterns.
- Support pre-sales conversations involving product definition, sprint structure, or PDLC maturity assessment.
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