Senior Product Marketing Manager

Precisely is a leader in data integrity, empowering businesses with trusted data solutions. They are seeking a Senior Product Marketing Manager to own the marketing strategy for their flagship data integrity platform, focusing on market narrative and cross-functional alignment to drive pipeline growth.

Responsibilities:

• Develop and maintain a compelling platform-level narrative, value proposition, and messaging framework that unifies our data integrity capabilities into one coherent story
• Translate technical capabilities into differentiated, outcome-oriented messaging for technical buyers, data leaders, and business stakeholders
• Build and run launch plans for major platform releases, new capabilities, and cross-portfolio initiatives, partnering with Product Management on roadmap alignment and launch readiness
• Drive cross-functional alignment across Product Management, Sales, and other Marketing functions to deliver integrated campaigns and launches
• Partner with Demand Generation, Content Marketing, Web & Brand, and Communications to shape campaign strategy, content themes, and the messaging that powers pipeline growth for the platform
• Develop persona-based messaging and thought leadership that engage target buyers across the funnel and support account-based programs for strategic accounts
• Partner with Sales Enablement to shape, build, and/or deliver the core readiness material, including pitch decks, demos, solution briefs, battlecards, and more
• Co-deliver enablement sessions and equip field teams to confidently position the platform, handle objections, and advance deals
• Apply AI to accelerate product marketing work, including messaging iteration, content development, customer and competitive research, and message testing
• Help cultivate an AI-driven product marketing team by piloting new tools and workflows, sharing what works, and mentoring peers on responsible, high-impact AI adoption
• Contribute platform-level inputs to Competitive Intelligence and Analyst Relations, including win/loss insights, customer themes, and market shifts that inform positioning and roadmap
• Synthesize customer, analyst, and market insights into actionable recommendations that shape messaging, launch planning, and go-to-market investment

Requirements:

• Bachelor's degree or equivalent work experience
• 7+ years of product marketing experience in B2B software, with a meaningful portion focused on enterprise data, analytics, or infrastructure platforms
• Proven experience leading go-to-market strategy and launches for a platform or multi-product portfolio, not just a single feature or product
• Strong track record developing positioning and messaging for business and technical buyers
• Hands-on experience applying AI to product marketing use cases, such as messaging, content, research, competitive intelligence, or message testing
• Demonstrated success partnering with Demand Generation to drive pipeline and with Sales and Sales Enablement to improve win rates through readiness
• Excellent written and verbal communication skills, with the ability to turn complex technical concepts into clear, differentiated narratives
• Experience working cross-functionally with Product Management on roadmap, launch planning, and customer research
• Travel is required: Yes, ~10-15%
• Demonstrated judgment for responsible, high-impact AI adoption — knowing what to automate, what to augment, and what to leave alone
• Hands-on experience applying AI to core product marketing work, including messaging, content, research, and competitive intelligence
• Track record in piloting new AI tools and workflows, then scaling what works across a team
• Comfort mentoring peers and helping cultivate an AI-driven product marketing culture
• Experience in marketing data management, data integration, data quality, data governance, master data management, data observability, location intelligence, or data enrichment solutions
• SaaS, developer marketing, or product-led growth (PLG)
• Familiarity with modern data stack ecosystems, including cloud data platforms such as Snowflake, Databricks, AWS, Azure, and Google Cloud
• Exposure to AI and machine learning use cases, particularly how data integrity enables trustworthy AI outcomes
• Experience contributing to analyst briefings, inquiries, and evaluations (e.g., Gartner, IDC, etc.)