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About the Role
The Product Manager for DIGIDECK owns the platform's strategy, positioning, and evolution, acting as the voice of the customer and partnering with internal teams to deliver a compelling product experience with AI as a core capability.
Responsibilities
- 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, based on customer needs, market trends, and business impact.
- Collaborate with engineering and design to bring product initiatives to life, including evaluating AI component tradeoffs.
- 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.
- Gather and synthesize customer feedback, usage data, and market intelligence, using AI tools to accelerate research and surface actionable themes.
- Identify opportunities for product innovation and differentiation, with a particular eye on emerging AI capabilities and competitor deployments.
- Act as the internal advocate for customer needs.
- Partner with sales to create enablement materials, demos, and narratives, including AI-driven demo experiences.
- 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.
- Define and track key product and marketing metrics, including AI-specific metrics.
- Continuously test, learn, and optimize product and messaging strategies, leveraging AI to run experiments and analyze results.
- 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.
- Daily, hands-on user of modern AI tools for research, writing, analysis, and prototyping.
- Working understanding of how LLMs and generative AI products are built and shipped.
- Experience shipping or contributing to at least one AI-powered feature or workflow.
- Comfort prototyping with AI, building quick mockups, demos, or working prototypes using AI tools.
- 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.
Skills
- AI Fluency
- Prompting
- RAG (Retrieval-Augmented Generation)
- Evaluation
- Hallucination and quality tradeoffs
- Latency and cost considerations
- Basic guardrails
- Responsible AI
- Data privacy
- IP and content provenance
- Bias mitigation
Experience Level
- 3-7+ years