Engagement Manager

Treasure AI

AI

Your Role

Lead end-to-end delivery of customer engagements from scoping through execution and renewal. Serve as the primary contact for client stakeholders while managing cross-functional teams to ensure on-time, in-scope delivery aligned to business outcomes.

Key Responsibilities

Client & Delivery Management

• Primary point of contact for assigned engagements across business and technical stakeholders
• Lead project governance including steering committees, status reviews, and executive readouts
• Translate client objectives into clear engagement plans with measurable success criteria
• Manage client expectations, scope boundaries, and change requests; escalate and resolve conflicts
  
  

Project Execution & Governance

• Own engagement plan including scope, timelines, milestones, dependencies, and resources
• Coordinate cross-functional teams (Solution Architects, Data Engineers, Product, Support)
• Implement delivery governance: RAID logs, status reports, change control, communication plans
• Ensure quality project artifacts: charters, SOWs, status decks, runbooks, handover documentation
  
  

Commercial & Value Delivery

• Own services SOW: scope, assumptions, deliverables, acceptance criteria
• Identify upsell/cross-sell opportunities with Sales and Customer Success
• Define and track value metrics: adoption, performance, time-to-value, business impact
• Drive user adoption and change management with client sponsors
  
  

Risk & Quality Management

• Maintain consolidated view of project health: schedule, scope, budget, risks, satisfaction
• Anticipate and mitigate delivery risks; manage dependencies across teams
• Enforce best-practice methodologies (agile/hybrid delivery, SDLC, data & AI standards)
  
  

Required Qualifications

• Bachelor's degree in Business, Engineering, Computer Science, or related field
• 7+ years in consulting, professional services, or project management with enterprise customers
• Proven track record leading complex, multi-stakeholder implementations (SaaS, data/analytics, AI/ML, MarTech/CDP)
• Strong stakeholder management with clear, confident communication skills
• Expertise in project management: planning, estimation, risk management, governance
• Experience owning SOWs, budgets, and profitability for services engagements
• Excellent presentation skills; ability to translate technical topics into business language
• Experience in global, cross-functional environments across time zones
  
  

PREFERRED QUALIFICATIONS

• Experience with CDPs, marketing technology, data platforms, or AI/ML implementations
• Professional certifications: PMP, PRINCE2, Scrum Master, SAFe
• Background in data & analytics, cloud platforms (AWS/Azure/GCP), or enterprise SaaS
• Experience collaborating with partners/SIs in shared delivery models Working Policy
  
  

KEY COMPETENCIES

• Client-centric mindset focused on outcomes and long-term relationships
• Structured problem-solving; comfortable with ambiguity
• Ownership and accountability for results
• Strong influencing and negotiation skills
• Operational rigor in planning, reporting, and financial tracking
  
  

Treasure AI moves marketing and data teams beyond legacy martech SaaS toward autonomous, ROI-driven AI agents that operate continuously, while keeping the human in the loop. With built-in governance, Treasure AI is powered by an always-up-to-date understanding of each customer for AI to act on.

The result is always-on marketing execution that compounds over time: smarter engagement, stronger retention, and measurable growth.

Treasure AI's agentic experience platform is available across web, mobile, and desktop — bringing your customer intelligence to every workflow, wherever your team works.