The Role

We're looking for a technical Product Marketing Manager or Senior Product Marketing Manager who can own end-to-end GTM motions for FiftyOne Enterprise. This isn't a traditional "make the slide deck" PMM role—you'll be responsible for the full lifecycle from positioning and messaging through to pipeline generation and revenue impact.

You'll be the bridge between our deeply technical ML engineering audience and our commercial goals, crafting narratives that resonate with practitioners while driving measurable business outcomes. You need to understand why data curation is critical for multimodal models, know the challenges of managing perception datasets at scale, and be able to have credible conversations with ML teams about their visual and multimodal data workflows.

What You'll Own

Strategic Positioning & Messaging

• Define and evolve FiftyOne's product category positioning in the emerging data engine/data curation space
• Develop product positioning and messaging frameworks that differentiate FiftyOne Enterprise as the data engine for visual & multimodal AI
• Create narrative strategies that articulate how FiftyOne fits into modern ML infrastructure for multimodal models
• Translate complex technical capabilities into clear value propositions for various buyer personas

End-to-End GTM Execution

• Lead full-funnel launches from announcement through demand generation and sales enablement
• Own GTM strategy and execution for major initiatives (e.g., new product releases, vertical expansions, strategic integrations)
• Build and execute campaigns that move prospects from OSS users to enterprise conversations
• Design and implement middle/bottom-funnel programs: reference architectures, technical comparisons, ROI calculators, proof-of-concept frameworks
• Work closely with sales to improve win rates through better positioning, competitive intelligence, and deal support
• Measure what matters: pipeline generated, velocity improved, win rate lifted

Technical Content & Thought Leadership

• Create technical content that MLEs actually want to read: architecture guides, integration patterns, migration playbooks
• Partner with product and engineering on webinars, workshops, and technical deep-dives
• Develop customer success narratives and case studies that showcase measurable outcomes

Market Intelligence

• Own competitive analysis and positioning against alternative solutions
• Conduct ongoing customer research to refine messaging and identify new opportunities
• Monitor market trends in computer vision, physical AI, and multimodal models to inform product and GTM strategy

What You Bring

Required:

• 5+ years in product marketing, technical marketing, or developer marketing roles
• Direct experience marketing to Machine Learning Engineers or data platform teams
• Sufficient technical depth to understand ML workflows, model training pipelines, and data curation challenges
• Strong analytical mindset with a proven track record of launching products or initiatives with measurable pipeline/revenue impact
• Excellent written and verbal communication skills—you can explain complex technical concepts clearly
• Self-starter mentality with ability to own projects from strategy through execution

Bonus Points:

• Direct experience in the computer vision, data infrastructure, or AI/ML tooling space
• Experience with open-source-to-commercial business models
• Background in engineering, data, or technical roles before transitioning to marketing
• Experience marketing developer tools or data infrastructure products
• Familiarity with modern ML frameworks (PyTorch, TensorFlow) and data management workflows
• Experience defining or establishing new product categories

The cash compensation for this person is in the $155K-$185K range. In addition to base comp for this role, we offer equity in the form of options, a variety of benefits, and the opportunity to grow in an exciting and collaborative environment.