Senior Product Marketing Analyst

Role & responsibilities:

1. Strategic Market Intelligence

• Conduct deep research on AI/GenAI trends across multiple sectors (Healthcare, Enterprise Ops, Automation).
• Analyze competitor movements in the broader AI ecosystem to identify white-space opportunities for our strategic alliances.
• Develop SWOT analyses and battlecards that cover our full suite of AI capabilities, not just one niche.

2. Portfolio Positioning & Messaging

• Craft a unified "AI-Nativet" narrative that connects diverse products, ensuring brand consistency across all alliances.
• Translate technical specs (LLMs, predictive models, automation tools) into clear value propositions for non-technical business leaders.
• Develop distinct messaging frameworks for different buyer personas across our various business lines.

3. GTM & Launch Execution

• Lead the Go-to-Market (GTM) strategy for new AI features and alliance-led product launches.
• Collaborate with product teams to define target segments, pricing strategies, and adoption goals for emerging solutions.
• Orchestrate launch campaigns across email, social, and partner channels to maximize visibility.

4. Sales Enablement & Content

• Build a robust library of sales assets: pitch decks, case studies, and one-pagers that sales teams can adapt for different industries.
• Create "Solution Briefs" that demonstrate how our different AI products can work together to solve complex business problems.
• Train sales and business development teams on how to pitch the full value of our strategic ecosystem.

5. Performance Analytics

• Track and report on marketing KPIs: funnel conversion, campaign performance, and product adoption rates across the portfolio.
• Use data to recommend pivots in strategy identifying which AI products need more focus or a different approach

• Experience: 3+ years in Product Marketing, Market Research, or Strategy, preferably in a B2B Tech or AI/SaaS environment.
• Portfolio Mindset: Proven ability to market multiple products or product lines simultaneously.
• AI Fluency: Strong understanding of Artificial Intelligence/GenAI concepts and how to position them for business value (beyond just clinical/health use cases).
• Storytelling: Excellent written communication skills; ability to turn data and tech into compelling stories for C-level decision-makers.
• Analytical Tools: Proficiency in CRM (HubSpot/Salesforce), Analytics (GA4), and presentation tools (PowerPoint/Canva).
• Education: Bachelors degree in Marketing, Business, or Tech; MBA is a plus.