SymphonyAI is a leading global enterprise AI SaaS company transforming industries through proven, predictive and generative AI solutions.
We partner with leading global organizations, consultancies and global system integrators (GSIs) to accelerate innovation and go-to-market velocity at scale.
Serving Fortune 500 companies across Retail/CPG, Financial Services, Manufacturing, Media, and IT/Enterprise Service Management, we deliver measurable business outcomes through cutting-edge technology and deep domain expertise. Join our global team of innovators and help shape the future of AI-powered enterprise solutions in a collaborative, high-growth environment where your work creates real-world impact.
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Job Description
About the Role
SymphonyAI is hiring a Senior Director of Product Marketing to lead go-to-market strategy for our AI SaaS portfolio in retail and CPG. This is not a traditional PMM leadership role. We operate an AI-augmented marketing system that compresses months of GTM work into days. The right candidate understands that the production layer of PMM is largely solved by AI, and their value lies in strategy, editorial judgment, field connection, and system improvement.
You will own positioning, competitive intelligence, sales enablement, and launch execution for a portfolio selling into enterprise retail buyers (VP Merchandising, VP Supply Chain, CFO, CTO). You will do this by orchestrating AI-powered workflows, not by manually building every asset from scratch.
What You'll Own
Go-to-Market Strategy
Define and evolve positioning, messaging, and value propositions for enterprise buyers across merchandising, supply chain, and store operations
Own launch strategy for new products and capabilities, including market segmentation, packaging, and pricing input
Translate product capabilities into buyer-relevant language across business, technical, and analyst audiences
AI-Augmented Content Operations
Operate, refine, and extend AI-powered PMM workflows that produce competitive battlecards, sales enablement packages, messaging frameworks, campaign content, and presentation decks
Encode proven sales methodologies into scalable, repeatable systems
Continuously improve output quality by tuning prompts, reference data, validation rules, and feedback loops
Reduce time-to-market for GTM assets by orders of magnitude compared to traditional PMM operations
Editorial Judgment at Speed
Serve as the quality gate on all AI-generated PMM output: messaging accuracy, audience register, proof point validity, competitive claims
Make fast editorial decisions on high volumes of content without sacrificing strategic coherence
Ensure every asset connects claims to consequences the buyer cares about (revenue, margin, time to value for business buyers; integration debt, scalability, governance for technical buyers)
Competitive Intelligence as a System
Own a continuous competitive monitoring system, not quarterly research projects
Maintain structured competitor profiles with trap questions, displacement playbooks, and use case maps
Translate competitive findings into field-ready assets within hours of signal detection
Field Feedback and Evidence Curation
Build and maintain closed-loop feedback between field sales and marketing systems
Source, validate, and curate customer evidence (case studies, proof points, ROI metrics) in partnership with Value Engineering and Customer Success
Run win/loss analysis to identify patterns, feed insights back into messaging and enablement, and brief leadership on trends
Cross-Functional Orchestration
Partner with Product Management to translate roadmap into market-facing narratives
Equip Sales with enablement that maps to how they actually sell (discovery, qualification, competitive positioning, executive engagement)
Support analyst relations briefings with structured prep, competitive framing, and market positioning
Team Leadership
Build and lead a lean, high-output product marketing team that operates as system operators and strategic thinkers, not just content producers
Set the standard for AI-augmented PMM workflows and mentor the team on operating them effectively
What We're Looking For
Required:
10+ years in product marketing, B2B SaaS or enterprise software, with at least 3 years in a leadership role
Demonstrated experience using AI tools to accelerate GTM operations (content generation, competitive analysis, enablement production, or similar)
Strong editorial judgment: ability to evaluate messaging, positioning, and competitive claims quickly and accurately
Deep understanding of enterprise buying committees and how to tailor messaging by persona (business buyer, technical buyer, economic buyer)
Experience building feedback loops between field sales and marketing to improve asset quality and deal outcomes
Track record of reducing time-to-market for GTM assets while maintaining or improving quality
Comfort operating at both strategic and execution levels; this role requires both
Preferred:
Retail, CPG, or supply chain industry experience
Familiarity with sales methodologies (MEDDICC, Challenger, value selling) and how they translate into enablement
Experience with analyst relations (Gartner, IDC, Forrester) and enterprise buying cycles
Background in prompt engineering, workflow automation, or AI-assisted content operations
Experience with Salesforce, HubSpot, or similar GTM platforms
What Success Looks Like in Year One
AI-augmented PMM system is operational across competitive intelligence, messaging, enablement, and launch planning
Time from product announcement to full GTM package (battlecard, talk tracks, one-pager, discovery guide) measured in days, not months
Field sales rates enablement assets as directly useful in active deals (measured via adoption and feedback)
Competitive intelligence is continuous and field-ready, not a quarterly deliverable
Influenced pipeline and win rate improvements are measurable and attributable to PMM assets
What This Role Is Not
This is not a "build a 10-person team to produce assets manually" role. The system handles production. You handle strategy, judgment, and improvement.
This is not a role where success is measured by volume of decks shipped. Success is measured by deal impact, field adoption, and competitive wins.
This is not a role for someone uncomfortable with AI tooling. You will operate AI workflows daily, and you will be expected to improve them.
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About Us
Who We Are
SymphonyAI is building the leading enterprise AI SaaS company for digital transformation across the most critical and resilient growth industries, including retail, consumer packaged goods, financial crime prevention, manufacturing, media, and IT service management. Since its founding in 2017, SymphonyAI today serves 1600+ Enterprise customers globally and has grown to 2,300 talented leaders, data scientists, and other professionals across over 30 countries.