Vice President, AI & Data Science

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November 9

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Messagepoint

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SaaS • B2B • Healthcare Insurance

Messagepoint is an enterprise SaaS company that provides an intelligent content hub and customer communications management (CCM) platform for regulated, omni-channel communications. Its products offer no-code authoring for business users, headless APIs for developers, AI-powered content intelligence (MARCIE) for translation, optimization and migration, and add-ons for composition, delivery, and interactive customer-facing communications. The platform focuses on compliance, personalization, content reuse, and migration from legacy systems and serves industries such as financial services, healthcare (notably Medicare), insurance, mortgage servicing, and government.

51 - 200 employees

Founded 1998

☁️ SaaS

🤝 B2B

⚕️ Healthcare Insurance

💰 $10M Debt Financing on 2022-05

📋 Description

• Define AI strategy and roadmap: Set multi-year vision for MARCIE platform evolution aligned with business objectives; guide technology stack decisions (OpenAI, Gemini, AWS Bedrock) and vendor partnerships worth $1M+ annually • Lead platform architecture: Oversee multi-cloud infrastructure (AWS, GCP, Azure) and MLOps implementation ensuring production reliability, scalability, and cost efficiency across enterprise deployments • Drive research excellence: Manage university partnerships and academic collaborations, secure R&D grants and tax credit programs, and guide patent development and publication programs • Build and mentor team: Lead cross-functional AI division spanning data scientists, AI/ML engineers, MLOps specialists, QA professionals, and platform developers; recruit top talent, establish career development frameworks, and foster collaborative, high-performance culture • Ensure production impact: Translate AI capabilities into measurable customer value (10x productivity gains, sub-second response times, improved translation accuracy); support go-to-market and customer success initiatives • Position industry leadership: Represent Messagepoint through conference speaking, technical publications, media engagement, and strategic thought leadership in enterprise AI space • Collaborate with executives: Provide technical guidance to CEO and board on AI capabilities, competitive positioning, and emerging technology trends

🎯 Requirements

• 10+ years in AI/ML with proven track record deploying production LLM-powered systems to enterprise customers at scale • 5+ years leading teams: Demonstrated success building and scaling AI research/engineering organizations with direct reports, budget authority, and strategic planning responsibility • Advanced degree (MS or PhD) in Computer Science, AI/ML, Data Science, or related field with strong foundation in deep learning, NLP, and transformer architectures • Hands-on technical contributor: Active coder and solution architect who develops production generative AI applications, builds RAG pipelines, implements multi-agent orchestration systems, and writes code alongside your team; this is not a purely managerial role • Multi-cloud expertise: Deep understanding of AWS, GCP, or Azure infrastructure; experience with MLOps, vector databases, RAG pipelines, and API-first design • Executive communication: Proven ability to influence C-suite and board-level strategy through clear, compelling technical storytelling • Research or academic collaboration: Experience managing university partnerships, grant programs, publications, or patent development • Work authorization: Eligible to work in Canada; remote-first role requires strong asynchronous communication and self-direction

🏖️ Benefits

• Remote-first: Work primarily from anywhere in Canada with flexible hours • Collaboration tools: Slack, Zoom, GitHub, Linear, Confluence; weekly team standups and bi-weekly executive reviews • AI-first culture: Heavy use of AI-assisted development tools (Claude Code, Augment, GitHub Copilot) for maximum team productivity • Research + production balance: Combine academic rigor with pragmatic engineering; publish and patent while shipping reliable enterprise systems • Travel: 4-6 times per year for conferences, customer meetings, or team offsites