Product Marketing Manager Jobs

About The Position

Requirements

• Bachelor's degree or equivalent work experience
• 7+ years of product marketing experience in B2B software, including experience owning go-to-market strategy across a multi-product or multi-capability portfolio
• 2+ years of experience directly managing or leading product marketers or a similar team, with a track record of coaching talent and raising team output
• Strong track record developing positioning and messaging for both business and technical buyers across a portfolio, not just a single product
• Demonstrated success partnering with Demand Generation to drive pipeline and with Sales and Sales Enablement to improve win rates through readiness
• Hands-on experience applying AI to product marketing use cases, with the judgment to guide a team's adoption of AI tools responsibly
• Excellent written and verbal communication skills, with the ability to turn complex concepts into clear, differentiated narratives and to coach others to do the same
• Experience working cross-functionally with Product Management on roadmap, launch planning, and customer research at a portfolio level
• Demonstrated judgment for responsible, high-impact AI adoption — knowing what to automate, what to augment, and what to leave alone — and the ability to instill that judgment in a team
• Hands-on experience applying AI to core product marketing work, including messaging, content, research, and competitive intelligence
• Track record piloting new AI tools and workflows, then scaling what works across a team
• Experience mentoring and upskilling team members on high-impact, responsible AI adoption

Nice To Haves

• Experience in marketing data quality, data governance, master data management, data integration, data observability, or adjacent data management solutions
• Prior experience managing a small product marketing team supporting a multi-capability portfolio
• Familiarity with modern data 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 quality, governance, and integration enable trustworthy AI outcomes
• Experience contributing to or overseeing analyst briefings, inquiries, and evaluations (e.g., Gartner, IDC, etc.)

Responsibilities

• Lead and develop a small team of Product Marketing Managers covering Data Quality, Data Governance, Master Data Management, and Data Integration, setting priorities, coaching for growth, and holding the team accountable to a high bar.
• Own the segment-level narrative, value proposition, and messaging frameworks that help unify solutions into one coherent story for data leaders and business stakeholders.
• Guide the team in translating product capabilities into differentiated, outcome-oriented messaging, reviewing and sharpening their work before it reaches the field.
• Direct launch planning for major releases and cross-portfolio initiatives, partnering with Product Management on roadmap alignment and ensuring the team delivers launch-ready messaging and assets on time.
• Drive cross-functional alignment across Product Management, Sales, and other Marketing functions to deliver integrated campaigns and launches for the portfolio.
• Partner with Demand Generation, Content Marketing, Web & Brand, and Communications leadership to shape campaign strategy and ensure portfolio messaging powers pipeline growth.
• Develop persona-based messaging and thought leadership that engages data leaders, governance owners, and business buyers, supporting account-based programs for strategic accounts.
• Partner with Sales Enablement to direct the development of core readiness material, including pitch decks, demos, solution briefs, and battlecards, and personally deliver enablement to senior field and customer audiences as needed.
• Establish and refine the processes, standards, and best practices that help the team scale messaging quality and consistency as the portfolio grows.
• Champion AI adoption across the team, piloting new tools and workflows, setting expectations for responsible use, and mentoring team members on high-impact application of AI to their work.
• Represent the portfolio in Competitive Intelligence and Analyst Relations conversations, translating win/loss insights, customer themes, and market shifts into positioning and roadmap input.

Benefits

• Career development opportunities
• Opportunities for growth
• Learning opportunities
• Community building opportunities