Director of Product Marketing - Agentic AI

The Director of Product Marketing - Agentic AI sets the market strategy, positioning, messaging, and go-to-market direction for Duck Creek's Agentic AI Platform and agent-enabled solutions. This senior individual contributor translates Duck Creek's AI strategy and platform capabilities into differentiated market narratives, buyer value, launch plans, sales plays, and thought leadership that build confidence in the safe, governed, and measurable use of AI agents across P&C insurance. The role partners across Product Management, Engineering, Architecture, Security, Legal, Compliance, Sales, Customer Success, Professional Services, Alliances, Analyst Relations, and Marketing to align innovation with customer needs, market readiness, responsible AI expectations, and business value. The role exercises significant judgment in shaping an emerging category, prioritizing market opportunities, guiding strategic trade-offs, and influencing executive decisions across innovation, trust, adoption, differentiation, and growth. This role typically does not include direct people management responsibilities.

• Set the product marketing strategy and priorities for Duck Creek's Agentic AI Platform and agent-enabled solutions, aligning customer needs, market opportunities, company strategy, and measurable growth objectives.
• Own differentiated positioning, messaging architecture, value propositions, and category narratives for agentic AI, translating complex platform capabilities into clear business value for insurance executives, business leaders, technical buyers, users, analysts, and partners.
• Direct market segmentation, buyer and customer research, competitive intelligence, and category assessment to identify priority use cases, adoption barriers, white-space opportunities, and emerging sources of differentiation.
• Influence product and business strategy by bringing market evidence, buyer insight, competitive context, and commercialization requirements into roadmap, packaging, ecosystem, and investment decisions.
• Lead go-to-market strategy for Agentic AI Platform launches, agent-enabled solutions, reusable capabilities, and strategic market plays, establishing objectives, target audiences, cross-functional accountabilities, readiness criteria, timelines, and success measures.
• Define the market narrative for responsible and governed agentic AI, clearly articulating Duck Creek's approach to security, data grounding, human oversight, explainability, traceability, observability, compliance, and measurable business outcomes.
• Provide strategic direction and governance for sales enablement, customer-facing content, demonstrations, thought leadership, launch assets, and partner materials, ensuring consistency, technical credibility, and relevance across the buyer journey.
• Shape demand and market development strategies with Sales, Field Marketing, Demand Generation, Customer Success, and Professional Services, creating integrated programs that accelerate awareness, pipeline, adoption, expansion, and realized customer value.
• Lead analyst, influencer, partner, and industry engagement strategies that strengthen Duck Creek's credibility, inform company strategy, cultivate ecosystem opportunities, and establish a distinctive point of view on agentic AI in insurance.
• Establish performance measures for Agentic AI product marketing and go-to-market initiatives; use market, customer, competitive, adoption, pipeline, and program data to evaluate impact, recommend trade-offs, redirect priorities, and communicate progress in executive and cross-functional forums.

WHAT YOU'VE DONE REQUIRED

• Bachelor's degree, master's degree, or equivalent experience in Marketing, Business, Insurance, Product Management, Computer Science, Information Systems, Engineering, Data Science, or a related discipline.
• 7+ years of experience in product marketing, portfolio marketing, go-to-market strategy, enterprise software marketing, AI marketing, or related roles within B2B software, SaaS, or enterprise technology.
• Experience setting strategy and leading complex go-to-market initiatives that require alignment across Product, Engineering, Sales, Marketing, Customer Success, Professional Services, Alliances, and executive stakeholders.
• Experience positioning and commercializing AI, machine learning, generative AI, agentic AI, automation, workflow, data, platform, or other technically complex enterprise solutions.
• Experience developing differentiated positioning, messaging, segmentation, competitive strategy, sales enablement, thought leadership, and market-facing programs for multiple buyer and stakeholder audiences.
• Demonstrated ability to influence senior leaders, guide strategic decisions, and lead cross-functional teams without direct reporting authority in a global, matrixed organization.

PREFERRED

• Experience in P&C insurance, general insurance, InsurTech, financial services, or another complex regulated industry.
• Experience marketing enterprise-grade platforms, multi-tenant SaaS solutions, governed AI systems, data platforms, integration platforms, or ecosystem offerings.
• Experience working with AI development, research, competitive intelligence, content, demonstration, or model-assisted product marketing workflows.
• Experience engaging industry analysts, influencers, strategic partners, customers, and executive audiences in an emerging technology category.
• Advanced degree, Product Marketing Alliance certification, Pragmatic Institute certification, or comparable product marketing or business training.

KNOWLEDGE, SKILLS, ABILITIES & BEHAVIORS

• Expert knowledge of product marketing strategy, category creation, market segmentation, positioning, messaging architecture, competitive intelligence, buyer journeys, sales enablement, launch planning, and B2B go-to-market models.
• Working knowledge of agentic AI concepts, including agent orchestration, tool use, prompt and instruction management, context grounding, human-in-the-loop controls, evaluation, observability, and lifecycle management.
• Working knowledge of responsible AI and AI assurance concepts, including explainability, traceability, auditability, model lineage, guardrails, access controls, security, compliance, and policy enforcement.
• Knowledge of enterprise SaaS and platform considerations, including scalability, reliability, configurability, interoperability, data governance, operational readiness, and ecosystem integration.
• Knowledge of insurance technology environments and workflows across underwriting, claims, policy, billing, distribution, rating, reporting, and customer servicing.
• Skill in translating complex technical capabilities and governance requirements into credible, concise, and compelling narratives for technical and non-technical audiences.
• Skill in assessing market opportunities and strategic trade-offs across customer value, differentiation, adoption readiness, trust, technical feasibility, regulatory expectations, and business impact.
• Skill in using market, customer, competitive, pipeline, adoption, and program metrics to evaluate performance and guide strategic decisions.
• Ability to shape executive decisions, establish cross-functional alignment, and lead complex initiatives through influence rather than direct authority.
• Ability to operate with sound judgment, professional discretion, intellectual curiosity, and adaptability in an emerging technology area where customer expectations, regulations, risks, standards, and market patterns continue to evolve.