Senior Project Manager

Role Overview

• Define scope, objectives, deliverables, and success metrics.
• Break work into milestones, dependencies, and timelines.
• Identify and track risks, assumptions, and mitigation plans early.
• Manage the Build → Subscription transition—the riskiest client phase—with clear successful exit criteria and readiness plans.
• Own all reporting for your clients—depth, accuracy, completeness.
• Lead all written and verbal communication, including weekly client syncs.
• Drill into project details; question “green” statuses constructively and validate progress with AI Masons.
• Proactively schedule internal syncs to align teams and resolve blockers.
• Maintain system hygiene across all project tools.
• Continuously verify SoW and contractual alignment against actual delivery.
• Communicate transparently—share status, blockers, and decisions early.
• Manage stakeholders with clarity, structure, and expectation alignment.
• Maintain a single source of truth for documentation.
• Partner with the Lead AI Mason to verify scoping and resource needs.
• Meet deadlines or raise risks early with mitigation options.
• Ensure testing, validation, and reviews are completed—never assumed.
• Conduct structured post-mortems to capture learnings and improvement actions.
• Take full ownership for results, end-to-end.
• Anticipate issues and propose solutions—not just problems.
• Track commitments, actions, and owners; escalate blockers promptly.
• Model proactive, structured communication and disciplined follow-through.

Requirements

• 6–10+ years managing complex programs (SaaS, AI, and automation experience a plus)
• Proven record of on-time, to-spec delivery with high client satisfaction.
• Deep experience in scope definition, planning, risk, and change management.
• Strong communicator—structured, concise, and transparent.
• Skilled at probing assumptions, validating data, and driving decisions.
• Hands-on with PM tools.
• Confident operating across technical and executive stakeholder levels.
• Familiar with our core stack: workflow automation (n8n), low-code frontends (e.g. Lovable), databases (e.g. Supabase), webhooks, HTTP requests, APIs, etc.

Benefits

• Help make AI genuinely useful for businesses—delivering measurable outcomes, not prototypes.
• Lead end-to-end programs that directly shape client success.
• Work in a culture of ownership, transparency, and continuous improvement.
• Collaborate with talented engineers, operators, and builders pushing the frontier of applied AI.