
Job Overview
Location
NY, SF or Remote (US)
Job Type
Full-time
Category
Software Engineering
Date Posted
May 22, 2026
Full Job Description
đź“‹ Description
- • Own end-to-end product positioning for Roboflow’s transition from a data labeling tool to the leading Vision AI platform for enterprise production deployments.
- • Define and refine messaging, narrative arcs, and proof points that align with buyer needs across Fortune 100 companies and technical decision-makers.
- • Lead full-cycle product launches: identify key moments, secure customer references, brief industry analysts, and equip sales teams with launch-ready materials.
- • Build and maintain buyer-facing surfaces including landing pages, ROI frameworks, vertical-specific narratives, and customer outcome case studies.
- • Develop high-impact sales enablement content such as battle cards, objection handling guides, competitive intelligence briefs, pricing positioning decks, and sales scripts.
- • Collaborate weekly with account executives to understand real-time deal dynamics and translate field insights into actionable marketing assets.
- • Productize customer success stories into structured case studies, video testimonials, webinars, and conference talks to drive peer referral and social proof.
- • Operationalize the customer reference program to systematically capture, validate, and amplify customer wins across marketing and sales channels.
- • Drive vertical market strategy for industrial, logistics, aerospace and defense, automotive, energy, and healthcare sectors by identifying where to focus and building tailored messaging, content, and field motions.
- • Ensure all external-facing content — from website copy to sales decks — speaks equally to technical developers and C-suite buyers with $150K+ ACVs.
- • Cut filler and communicate with crisp, plain, specific language across all formats: emails, landing pages, presentations, and scripts.
- • Embed with the sales team to attend deal reviews, learn what’s actually winning in the field, and feed those insights back into marketing strategy.
- • Work cross-functionally with marketing, product, sales, and customer success leadership to align messaging and execution across the organization.
- • Maintain a high-output, low-ego work style: build work, hold the bar, ship quickly, and iterate based on feedback from multiple stakeholders.
- • Contribute to shaping Roboflow’s broader narrative shift as the company scales from developer adoption to enterprise-wide Vision AI adoption.
🎯 Requirements
- • Owned product positioning end-to-end, including messaging house development, leadership alignment, and company-wide rollout.
- • Led B2B product launches with measurable impact, particularly for complex sales cycles and $150K+ ACVs.
- • Proven experience marketing to technical buyers (e.g., Heads of AI, CTOs) and C-suite decision-makers in enterprise software.
- • Strong technical fluency in computer vision, machine learning infrastructure, or developer tools.
- • Exceptional writing skills with a track record of producing crisp, plain, specific content for sales and buyer audiences.
- • Demonstrated ability to partner closely with sales teams, embed in deal reviews, and create materials that sales actually uses.
🏖️ Benefits
- • $165,000 to $180,000 base salary target.
- • $3,500/year travel stipend to work alongside team members anywhere.
- • $350/month productivity stipend for home office or co-working space expenses.
- • Up to 100% coverage of health insurance costs for employee and family.
- • Equity in the company.
- • Flexible work location: work from NYC or SF hubs, remotely, or anywhere in the U.S.
Skills & Technologies
About Roboflow, Inc.
Roboflow provides a cloud-based platform for computer vision teams to manage datasets, annotate images and video, train custom models, and deploy them to edge devices and production APIs. The service automates data preprocessing, augmentation, version control, and performance monitoring across YOLO, TensorFlow, PyTorch, and other frameworks, enabling developers and enterprises to accelerate vision projects from prototype to scalable applications without building infrastructure from scratch.
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