Forward Deployed Product Manager (Product/BA) – Digital Business Consulting and Services

Required Qualifications

• Product-minded but highly executional. Comfortable in fast-moving, ambiguous environments. Strong systems thinker with sharp workflow intuition, curious, technical, and hands-on with modern AI tools. Able to move seamlessly between client context, product thinking, and delivery realities.
• Experience level: Early career; approximately 1–2 years in an actual product management role (title must reflect genuine PM work, not project management relabeled).
• AI nativeness: must be able to prototype using AI tooling (e.g., Claude Code, agent-building frameworks) and understand how agents are built and how data is passed between them.
• Hands-on / vibe coding: Comfortable building prototypes through prompting and lightweight coding tools; not required to have a formal engineering background.
• Problem-solving orientation: Primary skill is translating client problems into software configuration solutions within a constrained product space.
• Client interaction readiness: Must be comfortable in workshops and cross-functional client sessions; does not need to lead the relationship.
• Can create structure where none exists.
• Strong judgment with incomplete information.
• High ownership and bias to action.
• Excellent communicator across technical and non-technical stakeholders.
• More likely to write the playbook than wait for one.
• Experience in product, business analysis, solutions consulting, forward-deployed, or implementation roles.
• Comfortable with prototyping, prompting, and workflow design.
• Likely from startup, SaaS, or technical services environments.
• Focused on builders and operators close to delivery, rather than pure roadmap PMs.
• Product-minded but highly executional. Comfortable in fast-moving, ambiguous environments. Strong systems thinker with sharp workflow intuition, curious, technical, and hands-on with modern AI tools. Able to move seamlessly between client context, product thinking, and delivery realities.
• Experience level: Early career; approximately 1–2 years in an actual product management role (title must reflect genuine PM work, not project management relabeled).
• AI nativeness: must be able to prototype using AI tooling (e.g., Claude Code, agent-building frameworks) and understand how agents are built and how data is passed between them.
• Hands-on / vibe coding: Comfortable building prototypes through prompting and lightweight coding tools; not required to have a formal engineering background.
• Problem-solving orientation: Primary skill is translating client problems into software configuration solutions within a constrained product space.
• Client interaction readiness: Must be comfortable in workshops and cross-functional client sessions; does not need to lead the relationship.
• Can create structure where none exists.
• Strong judgment with incomplete information.
• High ownership and bias to action.
• Excellent communicator across technical and non-technical stakeholders.
• More likely to write the playbook than wait for one.
• Experience in product, business analysis, solutions consulting, forward-deployed, or implementation roles.
• Comfortable with prototyping, prompting, and workflow design.
• Likely from startup, SaaS, or technical services environments.
• Focused on builders and operators close to delivery, rather than pure roadmap PMs.