[Remote] Senior Product Marketing Manager
Note: The job is a remote job and is open to candidates in USA. 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
Skills
- 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.)
Company Overview