Senior Director, Product Marketing - AI-Augmented GTM (Remote)

SymphonyAI

6h•Remote

About The Position

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. 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.

Requirements

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

Nice To Haves

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

Responsibilities

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
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
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)
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
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
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
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