3-7+ years of experience in product management or product marketing, ideally in SaaS or digital platforms
Strong understanding of go-to-market strategy and messaging
Ability to simplify complex AI capabilities into clear customer benefits
Experience collaborating with engineering, sales, and marketing teams
Analytical mindset with a focus on data-driven decision-making
Excellent communication and storytelling skills
Self-starter comfortable in a fast-paced environment
Hands-on experience with modern AI tools and technologies
Responsibilities
Define and evolve the product vision and roadmap, emphasizing AI's customer value
Prioritize features based on customer needs and market trends
Collaborate with engineering and design to implement product initiatives
Develop compelling messaging that highlights AI capabilities
Lead product launches and go-to-market strategies
Gather customer feedback and market intelligence using AI tools
Partner with sales to create enablement materials and drive product adoption
Benefits
Opportunity to work at the intersection of product, sales, and customer success
Focus on AI as a core capability, enhancing product differentiation
Collaborative environment with cross-functional teams
Chance to influence product strategy and customer experience
Access to cutting-edge AI tools and technologies
Dynamic and fast-paced work culture
Potential for professional growth in a rapidly evolving field
Full Job Description
Product Manager Role Overview
The Product Manager for DIGIDECK sits at the intersection of product, sales, and customer success, owning the strategy, positioning, and ongoing evolution of the DIGIDECK platform. This role is responsible for defining the product narrative, driving adoption and growth, and ensuring the product roadmap aligns with market needs and business objectives. You will act as the voice of the customer while partnering closely with internal teams to deliver a compelling, differentiated product experience, with AI as a core capability of both the product itself and the way you work. Core Responsibilities Product Strategy & Roadmap
Define and evolve DIGIDECK's product vision, positioning, and roadmap, with a clear point of view on where AI creates differentiated customer value
Prioritize features and enhancements, including AI-powered capabilities (generation, summarization, personalization, analytics), based on customer needs, market trends, and business impact
Collaborate with engineering and design to bring product initiatives to life, including evaluating model choices, prompt design, and the build-vs-buy tradeoffs of AI components
Go-to-Market & Positioning
Develop clear, compelling messaging and positioning for DIGIDECK, including how its AI capabilities translate into measurable customer outcomes
Lead product launches, feature rollouts, and go-to-market strategies
Ensure consistency across sales, marketing, and customer-facing materials, and set the bar for how we talk about AI responsibly and credibly
Customer & Market Insights
Gather and synthesize customer feedback, usage data, and market intelligence, using AI tools to accelerate research, surface patterns, and turn unstructured input (calls, tickets, transcripts) into actionable themes
Identify opportunities for product innovation and differentiation, with a particular eye on emerging AI capabilities and how competitors are deploying them
Act as the internal advocate for customer needs
Sales Enablement & Growth
Partner with sales to create enablement materials, demos, and narratives, including AI-driven demo experiences that show prospects the product working on their data
Support deal strategy and help articulate value to prospects and clients
Drive adoption, retention, and expansion through product-led initiatives, including in-product AI features that shorten time-to-value
Performance & Optimization
Define and track key product and marketing metrics (adoption, engagement, revenue impact), including AI-specific metrics such as feature usage, output quality, and the lift AI features deliver versus non-AI baselines
Continuously test, learn, and optimize product and messaging strategies, leveraging AI to run experiments, draft variants, and analyze results faster
Use data to inform decisions and improve outcomes
Requirements
3-7+ years of experience in product management, product marketing, or a hybrid role
Experience working with SaaS products or digital platforms (preferably in B2B environments)
Strong understanding of go-to-market strategy, positioning, and messaging
Ability to translate complex product capabilities including AI capabilities, into clear customer value
Experience working cross-functionally with engineering, sales, and marketing teams
Analytical mindset with comfort using data to drive decisions
Strong communication and storytelling skills
Self-starter who can operate in a fast-paced, evolving environment
AI Fluency (required)
Daily, hands-on user of modern AI tools (e.g., Claude, ChatGPT, Gemini, Copilot, Cursor, NotebookLM, or equivalents) for research, writing, analysis, and prototyping-and able to point to concrete examples of how AI has changed how you work
Working understanding of how LLMs and generative AI products are built and shipped: prompting, context/retrieval (RAG), evaluation, hallucination and quality tradeoffs, latency and cost considerations, and basic guardrails
Experience shipping or contributing to at least one AI-powered feature or workflow, with a clear view of what worked, what didn't, and what you'd do differently
Comfort prototyping with AI, building quick mockups, demos, or working prototypes using AI tools rather than waiting for engineering cycles
Awareness of the responsible-AI landscape: data privacy, IP and content provenance, bias, and how to communicate AI behavior honestly to customers
Genuine curiosity about the AI space, actively follows model releases, new tooling, and how peer companies are deploying AI, and brings that perspective into roadmap and positioning conversations
