Sprinklr is the definitive AI-native platform for Unified Customer Experience Management, empowering brands to deliver extraordinary experiences. The Product Marketing Specialist will own the cross-suite AI narrative, ensuring that AI capabilities are positioned as key differentiators across Sprinklr's Marketing, Voice of Customer, and Service product lines.
Responsibilities:
- Develop and own the unified AI messaging architecture that cuts across Marketing, VoC, and Service product suites
- Define how Sprinklr's AI capabilities are positioned as platform-wide differentiators – not just product features
- Create a cohesive "AI-first platform" story that resonates with technical buyers (AI Architects, CTOs, Platform teams) as well as business buyers (CMOs, CX leaders, VoC leaders)
- Ensure AI messaging is consistent across all Sprinklr touchpoints – website, sales decks, thought leadership, analyst briefings, and customer communications
- Continuously evolve AI positioning as the market shifts – tracking developments in agentic AI, LLMs, conversational AI, and enterprise AI adoption
- Work closely with the Product Marketing leads for Sprinklr Service, Marketing, and VoC to ensure AI messaging is integrated into each suite's positioning and GTM strategy
- Identify opportunities where AI creates cross-suite value – e.g., AI Agents that work across Service and Marketing, unified data models that power VoC + Service insights
- Build cross-product use cases that demonstrate the power of Sprinklr's unified AI platform vs. point solutions
- Act as the connective tissue between suite-level PMMs – ensuring AI narrative consistency while respecting each suite's unique positioning
- Contribute to programmatic sales plays that involve AI as a key differentiator or entry point across multiple suites
- Support GTM strategy for AI-specific launches (e.g., new AI Agents, Copilot capabilities, platform AI enhancements) in coordination with suite PMMs
- Develop AI-specific launch narratives, positioning frameworks, and competitive differentiation for new product introductions
- Build AI-focused sales plays that help field teams lead with AI as a platform differentiator
- Partner with Outbound Product Marketing teams to ensure AI messaging is being effectively communicated and adopted in regional markets
- Build Sprinklr's authoritative voice on enterprise AI and agentic AI in customer experience through high-impact content – POVs, whitepapers, blogs, webinar briefs
- Track and analyze the competitive AI landscape – how are industry leaders & competitors positioning their AI capabilities? Where does Sprinklr differentiate?
- Monitor macro AI trends and proactively adjust Sprinklr's positioning to stay ahead
- Support analyst relations for AI-specific briefings and research (Gartner, Forrester, IDC)
- Develop C-level and technical audience-specific content that demonstrates Sprinklr's AI innovation leadership
- Develop AI-focused collateral: battle cards, competitive positioning docs, demo scripts, use case documentation, and ROI frameworks
- Create L1-L3 AI enablement content – executive-level narratives for C-suite conversations, technical deep dives for AI Architects and platform evaluators
- Own AI-specific website messaging strategy and ensure platform AI capabilities are prominently and compellingly positioned
- Build demo libraries showcasing AI Agents and Copilots in action across Marketing, VoC, and Service scenarios
Requirements:
- 5–8 years of experience in Product Marketing, Technical Marketing, or a closely related role with a strong focus on AI, ML, or AI-native SaaS platforms
- AI background – Deep understanding of modern AI architectures and ability to translate them into market-facing narratives
- B2B SaaS experience – Prior experience marketing enterprise SaaS products, ideally in CX, marketing technology, or AI-powered platforms
- Strong cross-functional collaboration skills – Comfortable working alongside multiple Product Marketing Managers/ leads and aligning on shared narratives without formal authority
- Exceptional storytelling skills – Ability to make complex AI concepts accessible and compelling for both technical and business audiences
- Analytical and data-driven – Uses market research, competitive intelligence, and win/loss data to inform positioning decisions
- Proficient in agentic frameworks, with the ability to apply them to automate work and improve team-wide efficiency