Account-based marketing strategist growing TrainAI’s AI data services revenue at RWS. Building account-specific campaigns, sales assets, and engagement strategies for enterprise technology accounts.
Responsibilities
Own the marketing strategy for TrainAI across a portfolio of named target accounts
Partner with sales leads on account planning
Research accounts, map stakeholders, identify entry points and opportunities, and develop ABM strategies
Run continuous account research to keep positioning and ABM strategy current
Create account-specific narratives, content, and engagement programs
Develop personalized sales enablement materials, presentations, one-pagers, brochures, proposals, RFP responses, emails, ads, and web content
Maintain a weekly communications cadence with TrainAI business development managers
Execute strategic communications into target accounts
Maintain real-time ABM reporting with marketing operations on engagement, buyer engagement, MQAs, sales cycle length, deal size, and revenue impact
Contribute successful ABM plays to a shared AI-based TrainAI ABM framework
Support cross-account marketing activities including brand awareness campaigns, organic social media management, value-added content production, and event participation
Requirements
3+ years’ ABM or strategic account marketing experience into large, complex B2B enterprise or hyperscaler accounts
Experience with technical buyers and lengthy, multi-stakeholder sales cycles
Passion for the AI industry and willingness to develop sufficient technical knowledge to discuss AI training data with an ML lead
Curious, fast-learning, and genuinely willing to evolve how they work
Already uses AI to compress research-to-asset from weeks to hours
Maintains judgment on quality and knows when an AI draft is confidently wrong
Willingness to extend and improve reusable skills and agents
Familiarity with ABM tech/tools such as 6Sense, Influ2, and Mutiny
Commercial literacy, including ability to read a pipeline and a stakeholder map
Ability to work fluently across disciplines and specialist teams
Experience working in the AI data services space is preferred
Benefits
25 days of paid time off (15 vacation days and 10 sick days)
Company holidays
Birthday day off
Paid time for volunteering in your community
100% paid parental leave
401(k) retirement plan and company match
Company-wide agile work policy supporting flexibility, trust, and work-life balance
Ongoing learning and professional development programs
Opportunities to expand skills and career
Collaborative and inclusive global work environment
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