protege - Vertical Sales Representative (Video)
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT
Requirements
• WHAT YOU’LL BE SELLING • High-quality video datasets used for training and evaluating AI models • Value-added data enrichment services, designed to tailor video data to the precise needs of model builders • Solutions that improve model performance, accuracy, and safety • Value-added managed services • 5+ years of enterprise or mid-market sales experience • Experience selling into AI, data, media tech, and/or video-related industries • Strong understanding of how data is used in AI/ML workflows, particularly for training models • Proven ability to generate pipeline and close deals in a fast-paced environment • Ability to engage both technical stakeholders (data science researchers, etc.) and business leaders • Strong ownership mindset and ability to operate in a build-stage environment • Experience selling SOW, SaaS, and Managed Services-oriented offerings • Experience with video datasets, content pipelines, or video generation + interpretation workflows • Experience with AI training data, labeling, annotation, or evaluation services • Familiarity with multimodal AI (video, text, audio) • Existing relationships within media, AI, or data ecosystems • WHAT SUCCESS LOOKS LIKE • Consistent pipeline generation across both self-sourced and supported channels • Ability to quickly scope and close video data opportunities • Consistently converting deals from pipeline to close, with strong pipeline velocity • Development of repeatable use cases within theVideo vertical • Clear contribution to revenue growth and vertical expansion • Deep cross-functional collaboration with teams across Protege
Responsibilities
• OWN PIPELINE & REVENUE • Own a revenue target, working closely with Protege’s Video GM and team • Build, manage, and close a pipeline of opportunities across new and existing accounts • Balance self-generated pipeline with inbound and outbound-supported opportunities • DRIVE AI DATA OPPORTUNITIES • Identify and develop opportunities where video data is required for AI model training, fine-tuning, or evaluation • Engage data science, product, and business stakeholders to understand data needs • Position Protege’s capabilities as solutions to data quality, scale, and availability challenges • LEAD CONSULTATIVE SALES CYCLES • Run full-cycle sales from discovery through close • Translate technical requirements into clear commercial scopes and proposals • Navigate multi-stakeholder environments including AI, legal, content, and product teams • DEVELOP VERTICAL EXPERTISE • Build a strong point of view on how video data is used in AI/ML workflows • Identify repeatable use cases and patterns within the video vertical • Contribute to go-to-market strategy and offerings • PARTNER CROSS-FUNCTIONALLY • Work closely with GM, Delivery, Data Lab, and Partner teams to scope and execute solutions • Partner with Product and Commercial Ops to improve packaging, pricing, and sales motion • Collaborate with outbound/BDR teams on targeted account strategies
Benefits
• Opportunity to sell at the intersection of AI, data, and media • High ownership role with direct impact on a strategic growth vertical • Balance of pipeline creation, consultative selling, and deal execution • Collaborative environment working across product, operations, and commercial teams • Ability to shape how organizations leverage video data to power AI • 30 / 60 / 90 Day Plan • 0–30 DAYS: LEARN FAST + START SELLING • Ramp on Protege offerings, AI/video data use cases • Pair closely with Media GM and Commercial Leadership to build target account list (media + AI buyers) • Begin outreach (with BDR + self-sourced) • Run early discovery calls • 20-30 conversations • 5-8 early-stage opportunities • Clear POV on fastest-moving use cases • 30–60 DAYS: BUILD PIPELINE + ADVANCE DEALS • Consistently generate pipeline (self + supported) • Independently run discovery and scope opportunities • Start moving deals into proposal stage • Provide consistent feedback to Media GM + Commercial team w/r/t to what’s working, what’s not, what we are seeing in market • 3–5x pipeline coverage building • 8–12 active opportunities • 2–3 deals in proposal/scoping • First deals nearing close • 60–90 Days: Close + Establish Rhythm • Close initial deals (focus on speed + repeatability) • Maintain steady pipeline creation • Build momentum within key accounts • Continued deep collaboration with Media GM, Commercial Leadership, broader Commercial teams, DataLab, Marketing, Media Solutions • 1–3 deals closed (or late-stage with clear path) • Consistent deal flow • Repeatable motion for core video data use cases
No credit card. Takes 10 seconds.