Account-Based Marketing Manager
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Job Description
Account-Based Marketing Manager shaping personalized campaigns for RWS TrainAI, which provides responsible AI training data services. Growing enterprise accounts through ABM strategy, content, and sales partnership.
Responsibilities:
- Own the marketing strategy for TrainAI across a portfolio of named target accounts
- Partner with sales leads on account planning
- Build account-specific narratives, content, and engagement to grow accounts from first project to scaled revenue
- Research accounts and map stakeholders, entry points, and opportunities for TrainAI
- Maintain continuous account research so positioning and ABM strategy remain current
- Create personalized, account-specific sales enablement materials, presentations, one-pagers, brochures, proposals/RFP responses, emails, ads, and web content
- Maintain a weekly communications cadence with TrainAI BDMs
- Execute strategic communications into target accounts
- Maintain real-time ABM reporting on account engagement, buyer engagement, MQAs, sales cycle length, deal size, and revenue impact
- Contribute to a shared AI-based TrainAI ABM framework
- Support cross-account marketing motions, including brand awareness campaigns, organic social media management, value-added content production, and event participation
Requirements:
- 5+ years’ ABM or strategic account marketing experience into large, complex B2B enterprise or hyperscaler accounts with technical buyers and lengthy, multi-stakeholder sales cycles
- Passion for the AI industry and willingness to develop sufficient technical knowledge to hold a conversation about AI training data with an ML lead
- Curious, fast-learning, and willing to evolve how they work
- Already uses AI to compress research-to-asset from weeks to hours
- Able to judge quality and identify when an AI draft is confidently wrong
- Willing to extend and improve reusable skills and agents
- Familiarity with ABM technologies/tools such as 6Sense, Influ2, and Mutiny
- Commercial literacy, including ability to read a pipeline and stakeholder map
- Ability to work fluently across disciplines and specialist teams
- Experience 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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