Requirements
- 4+ years experience in technical project management or client delivery at a software services or consulting firm, owning plans, milestones, and engineering coordination across multiple concurrent engagements.
- Working knowledge of Salesforce and/or MuleSoft — enough to speak the language credibly and spot when something's harder than estimated, but deep architecture or implementation experience isn't required (AI handles that layer).
- Comfortable in a Kanban-style, agent-orchestrated model where daily status comes from a scrum agent and project health is a dashboard — if you need sprint cadence and ticket grooming to feel productive, you'll be miserable here.
- Exceptional written and verbal communication — clear, concise, confident, and warm.
- A high-volume, high-context-switching operator who can hold 15–20 active engagements and switch between them cleanly — volume is the role, not a phase you're trying to grow out of.
- Schmoozer with an engine — you build warm relationships clients refer to peers, but when something needs to move, you move it.
- Hungry, ambitious, highly coachable — you'd rather be corrected fast than be comfortable.
- A bias for action, decisive under chaos. You act first and analyze second; if you need exhaustive context before committing, this role will eat you alive.
- Hands-on experience using AI tools (Claude, Cursor, ChatGPT, or similar) as part of your day-to-day workflow
Nice to Have
- Experience selling, supporting, or delivering to small and mid-sized businesses (law firms, professional services firms, finance teams) where the buyer is rarely the technical user
- Background in SOW-driven engagements where you’ve managed scope, change requests, and project-based billing
- Experience as an Engagement Manager or Delivery Manager at a consulting or SI firm
