--- title: 'Engagement Manager – AI Marketing Transformation at fuzebox.ai' canonical: 'https://feeny.ai/job/engagement-manager-ai-marketing-transformation-fuzebox-ai-remote-76w3tm3f98m2' type: 'job' last_seen: '2026-11-09' --- # Engagement Manager – AI Marketing Transformation at fuzebox.ai - **Company:** fuzebox.ai - **Location:** Remote - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-03-25 - **Last confirmed live:** 2026-11-09 - **Apply:** https://jobs.gem.com/fuzebox-ai/am9icG9zdDowArfT5jY6QJjz6H_aYRlH ## Job description ## About FuzeBox Ai 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. ## Overview 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 ## Qualifications - 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 ## Compensation - 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 How to Apply Apply with a brief note on your background and interest. ## About fuzebox.ai ## Company Overview - **One-liner**: FuzeBox builds an AI-native orchestration platform that unifies data pipelines, AI models, and workflows into a single intelligence layer for enterprises. - **Entity Type**: Private (early-stage, pre-Series A based on headcount and hiring signals) - **Headquarters**: Las Vegas, Nevada, USA - **Founded**: Not publicly disclosed - **Founders**: Not publicly disclosed ## Core Business - **Primary industry/industries**: Enterprise AI Orchestration, Data & AI Infrastructure - **Target customers**: B2B, Enterprise (media, sports, financial services, healthcare) - **Mission or purpose statement**: "To make AI accessible, efficient, and impactful for every enterprise" — building systems where "data, context, and human insight converge to power smarter, more adaptive AI experiences." ## Products & Services - **FuzeBox Platform**: An AI-native orchestration system with six modular layers: - **Data Ingestion**: APIs, file systems, SQL/NoSQL databases, streaming sources with auto-mapping and transformation - **Fusion Engine**: Semantic reasoning layer with SLM orchestration for domain-specific intelligence - **Data Orchestration**: Workflow engine for ETL/ELT with real-time and batch data handling - **AI/ML Layer**: Integrated model hub for small language models (SLMs) with AutoML and fine-tuning - **Visualization Layer**: Conversational querying, natural language dashboards, and human-in-the-loop insights - **Governance & Security**: Role-based access control, encryption, compliance monitoring, and audit trails - **Agentic AI Solutions**: Systems that think and act on behalf of users, including agent workflows, fusion intelligence, and explainability features - **Predictive Compliance & Risk**: Contextual compliance monitoring, fraud detection, and intelligent risk management with explainable AI - **Healthcare AI**: AI-powered patient diagnosis assistance, treatment recommendations, and medical records analysis with privacy-first architecture ## Market Standing - **Valuation/Market Cap**: Not disclosed (private, early-stage) - **Key Metric**: Total Funding — Not disclosed; headcount of 3 employees with 50% monthly growth signals an early, high-growth startup - **Notable Investors/Partners**: Not publicly disclosed - **Growth Signals**: - 50% monthly headcount growth (from 2 to 3 employees) - Actively hiring for client-facing roles (Engagement Manager for AI Marketing Transformation) - Expanding across media, sports, financial risk, marketing intelligence, and enterprise decision systems ## Competitive Advantages - **Unified Intelligence Layer**: Unlike fragmented point solutions, FuzeBox combines data ingestion, orchestration, AI/ML, and governance in one modular platform — reducing integration complexity - **Small Language Model (SLM) Focus**: Emphasizes efficient, domain-specific SLMs over massive general-purpose models, enabling real-time decisions, lower cost, and easier deployment - **Explainability & Governance**: Built-in transparency into model reasoning and lineage, with enterprise-grade security and compliance — a differentiator in regulated industries (finance, healthcare) - **Hybrid Deployment**: Supports cloud, on-premise, and hybrid environments, appealing to enterprises with strict data residency requirements ## Strategic Focus - **Current priorities**: Operationalizing AI for enterprises — moving beyond model deployment to "operationalize intelligence" across data, workflows, and decision-making - **Direction for growth**: Expanding vertical solutions (media, finance, healthcare) while maintaining a horizontal platform play; scaling the team and client delivery capabilities - **Key themes**: Agentic AI, human-in-the-loop systems, adaptive learning, and trust/transparency in AI ## Why Work Here - **Culture highlights**: Mission-driven focus on making AI accessible and impactful; emphasis on "human-centered design" and "explainable outcomes" - **Remote/hybrid/office policy**: Remote-first — the Engagement Manager role is listed as "Hiring Remotely in USA" - **Notable perks or engineering culture**: - Equity participation in a high-growth, AI-driven company - Competitive salary - Opportunity to work at the cutting edge of AI orchestration and agentic systems - Small, agile team (3 employees currently) offering outsized impact and ownership - Focus on building "systems that think, learn, and adapt contextually" — appealing to engineers and AI practitioners who value technical depth and real-world application ## Sources 1. [fuzebox.ai](https://fuzebox.ai/) 2. [fuzebox.ai/about](https://fuzebox.ai/about/) 3. [linkedin.com/company/fuzebox-ai](https://linkedin.com/company/fuzebox-ai) 4. [builtin.com/job/engagement-manager-ai-marketing-transformation/9968523](https://builtin.com/job/engagement-manager-ai-marketing-transformation/9968523) 5. [fuzebox.ai/contact](https://fuzebox.ai/contact/) ## Other roles at fuzebox.ai - [Director of IT](https://feeny.ai/job/director-of-it-fuzebox-ai-remote-g0dffy25wrz7)