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Salesforce

Product Marketing Manager

Salesforce

. Execute and scale the go-to-market strategy for Salesforce's Data 360 portfolio .

Posted 11/3/2026full-timeUnited StatesMid-LevelSenior💰 $117,400 - $177,600 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in executing go-to-market strategies for Data 360, translating technical capabilities into business value, and driving adoption through effective sales plays and enablement programs. Proficient in collaborating with cross-functional teams and delivering impactful training materials and presentations.

Highest-signal resume keywords
Go-To-Market StrategyData PlatformsSales Plays DevelopmentPresentation SkillsCross-Functional Collaboration

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Product MarketingSolution EngineeringData ManagementAnalyticsConsumption-Based PricingSales EnablementAI CapabilitiesPrompt DesignAgent-Based ProductsData-Driven Mindset
Soft Skills
Storytelling SkillsAbility to Manage PrioritiesAlignment Across Teams
Tools & Technologies
SalesforceSlackbotAI Coding ToolsCodexClaude
Industry Keywords
B2B SaaSEnterprise TechnologyManagement ConsultingData 360AI Agents

Tech Stack

Tools & technologies
CloudGo

About the role

Key responsibilities & impact
  • Execute and scale the go-to-market strategy for Salesforce's Data 360 portfolio
  • Serve as the Data 360 GTM expert across product, marketing, sales, pricing/packaging, and operations
  • Translate product innovation into actionable programs that drive adoption and revenue growth
  • Articulate how Data 360 capabilities ground and elevate AI agents and applications
  • Explain the Data 360 consumption model, pricing, value realization, and Flex Credit opportunities
  • Create, launch, and manage quarterly sales plays
  • Design and build AI-powered enablement tools, including custom Slackbot skills and agent workflows
  • Drive Data 360 adoption through programs, feedback loops, funnel metrics, and usage metrics
  • Collaborate with Corporate Strategy, Product Marketing, Product Management, Product Enablement, Sales Program Management, Strategic Events, and cross-cloud GTM teams
  • Maintain working knowledge of Data 360 architecture, capabilities, and roadmap
  • Build and deliver training materials, FAQs, talk tracks, demo guides, and presentations
  • Partner with global go-to-market and distribution leaders to drive field readiness and pipeline acceleration
  • Develop and maintain GTM assets, sales plays, messaging frameworks, competitor-focused content, and demo libraries
  • Act as the Data 360 subject matter expert across Salesforce clouds to ensure unified value messaging and solution positioning

Requirements

What you’ll need
  • 3–5+ years in Product Marketing, Solution Engineering, Sales, or Go-To-Market roles within B2B SaaS or enterprise technology
  • Working understanding of data platforms (CDP, data management, integration, or analytics) and enterprise AI
  • Ability to translate technical capabilities into clear business value for varied audiences
  • Proven ability to partner with Core Product Marketers, Product Managers, and cross-functional stakeholders
  • Experience working with Sales Leadership, Account Executives, and Sales Programs
  • Success developing sales plays, enablement programs, and training materials
  • Strong presentation and storytelling skills
  • Familiarity with consumption-based pricing
  • Data-driven mindset using insights to inform GTM strategy and measure success
  • Ability to manage multiple priorities and timelines
  • Ability to drive alignment across global and cross-functional teams
  • Direct sales or quota-carrying experience, preferred
  • Experience supporting or marketing data, AI, automation, or agent-based products, preferred
  • Hands-on experience or strong interest in prompt design and building agents or skills on Slack's agent-building platform or comparable platforms, preferred
  • Comfort with AI coding and assistant tools such as Codex and Claude, preferred
  • Background in management consulting (Big 4 or equivalent), preferred

Benefits

Comp & perks
  • Time off programs
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Mental health support
  • Paid parental leave
  • Life insurance
  • Disability insurance
  • 401(k)
  • Employee stock purchasing program
  • Incentive compensation, as applicable
  • Equity, as applicable
  • Reasonable accommodations during the application or recruiting process