Lead client delivery for AI-driven marketing transformation: run discovery, build scopes and roadmaps, coordinate teams, track timelines/budget/risks, provide status reporting, and ensure measurable outcomes.
About FuzeBox Ai
Overview
Responsibilities
Qualifications
Compensation
How to Apply
At FuzeBox, we’re building the intelligent platform for the AI future — where data, context, and human insight converge to power smarter, more adaptive AI experiences for enterprises and people alike.
In a world where data grows faster than businesses can harness it, FuzeBox brings clarity and control. Our AI-native orchestration system unifies data pipelines, model workflows, and real-time intelligence into a single, cohesive platform — enabling organizations to turn complexity into competitive advantage.
We are hiring an Engagement Manager to lead client delivery for AI-driven marketing transformation programs. This role is designed for someone who understands how to run a structured, professional client engagement—balancing discovery, execution, and behind-the-scenes orchestration—while keeping client outcomes first.
You will guide clients from formal discovery through implementation, ensuring engagements remain on track, on time, and on budget, with clear sign-offs and measurable results.
Responsibilities
• Serve as the primary day-to-day partner for client stakeholders
• Lead structured discovery across marketing strategy, data, tooling, and workflows
• Translate discovery into clear scopes, phased plans, and implementation roadmaps
• Drive alignment and formal sign-off at key engagement milestones
• Coordinate internal teams to ensure effective execution behind the scenes
• Track timelines, dependencies, risks, and budget throughout delivery
• Provide clear, professional status reporting to clients and internal leadership
• Anticipate issues early and resolve them before they impact outcomes
• 6+ years in engagement management, consulting, program management, or client delivery
• Experience running formal discovery and implementation engagements
• Familiarity with marketing strategy, marketing operations, or digital transformation
• Exposure to AI, data, or advanced marketing technology initiatives preferred
• Proven ability to manage complex, multi-stakeholder programs
• Competitive salary commensurate with experience
• Equity participation in a high growth-stage, AI-driven company
• Opportunity to work on high-impact client transformations in a professional delivery environment
Apply with a brief note on your background and interest.
Similar Jobs
Artificial Intelligence • Fintech • Hardware • Information Technology • Sales • Software • Transportation
Lead execution of Motive’s Security and Privacy Roadmap and high-priority risk-reduction programs. Coordinate cross-functional teams, manage dependencies, capacity, milestones, risks, and quarterly planning. Develop program reviews, dashboards, RAID logs, and board-ready updates grounded in verified evidence. Translate security objectives and technical details into measurable business outcomes, facilitate executive decisions, and improve program governance and control effectiveness.
Top Skills:
Audit ReadinessAuthorizationData ProtectionData RetentionIdentity And Access Management (Iam)Privacy EngineeringSaaSSecurity AssuranceSecurity ControlsVulnerability Management
Healthtech • Social Impact • Software
Provide phone and live-chat billing support to clients and therapists. Troubleshoot platform and insurance-related issues, explain benefits, interpret EOBs, educate users, identify root causes, and collaborate with Product teams to improve the platform. The role requires empathy, independent remote work, problem-solving, quantitative performance management, and experience with commercial and government payors.
Top Skills:
AvailityClaim MdCptIcd-10
26 Minutes Ago
Financial Services
Leads AI controls and data governance strategy across client onboarding, documentation operations, and CDAO functions. Oversees AI risk assessments, data quality and lineage controls, model monitoring, advanced analytics, automated testing, remediation, regulatory alignment, and executive advisory activities. Builds global teams and promotes responsible AI practices using Python, GenAI, and LLM automation to strengthen control effectiveness and risk intelligence.
Top Skills:
Ai/MlAutomationGenerative AiLarge Language Models (Llms)Python
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories



