Director, Product Management GenAI Digital Media

Clarvos is seeking a Director of Product Management to lead its generative AI digital-media product portfolio. The role owns the vision, roadmap, development, launch, commercialization, and optimization of AI-powered image and video products for advertisers, agencies, and creative teams, while leading cross-functional execution across product, engineering, AI/ML, design, creative, legal, and go-to-market functions.

Responsibilities:

• Own the product vision, strategy, investment thesis, and multi-year roadmap for generative AI image, video, and multimodal creative products serving advertisers, agencies, and internal creative teams
• Lead products from zero-to-one discovery and prototyping through model selection, technical architecture, beta, production launch, commercialization, adoption, and continuous optimization
• Define AI-powered workflows for text-to-image, image-to-image, text-to-video, image-to-video, video extension, editing, resizing, localization, background generation, product placement, variant creation, and multi-format campaign adaptation
• Build advertiser-facing experiences that translate a brand, product catalog, campaign objective, audience, channel, and creative brief into commercially usable digital assets and campaign-ready variants
• Create product capabilities that support the full creative lifecycle, including ideation, storyboarding, generation, editing, review, approval, versioning, storage, metadata, rights management, publishing, measurement, and reuse
• Personally review model capabilities, APIs, prototypes, prompts, workflows, and generated outputs; use hands-on experimentation to evaluate feasibility, creative quality, failure modes, and customer value before committing roadmap investment
• Partner with Applied AI/ML and Engineering to define model requirements, training and evaluation data, inference architecture, orchestration, fine-tuning or adaptation approaches, model routing, latency, scalability, reliability, and unit economics
• Determine when to build proprietary capabilities, fine-tune or adapt open models, integrate third-party model providers, or combine multiple models and tools into a differentiated product experience
• Define model and product evaluation frameworks for visual quality, temporal consistency, motion quality, prompt adherence, brand fidelity, product accuracy, human realism, text rendering, diversity, controllability, editability, safety, and commercial usability
• Establish a rigorous creative quality bar and partner with Design and Creative leaders to translate visual craft, storytelling, composition, pacing, brand standards, and advertising effectiveness into repeatable product requirements and machine-readable evaluation criteria
• Build scalable brand-intelligence and asset-control capabilities, including brand kits, style references, product truth, approved claims, color and typography constraints, logos, visual identities, reusable templates, and campaign-specific creative rules
• Develop workflows for synthetic focus groups, creative scoring, ranking, pre-launch validation, and performance feedback so that generated assets can be evaluated and improved before and after media activation
• Connect creative generation to AdTech activation workflows across social, search, display, mobile, retail media, CTV, online video, native, and other publisher formats, including platform-specific dimensions, durations, file limits, safe zones, and policy requirements
• Partner with Campaign Execution, Audience Intelligence, Measurement, and publisher-integration teams to ensure generated assets can be targeted, trafficked, tested, measured, optimized, and learned from across the campaign lifecycle
• Define product requirements, technical specifications, data contracts, user journeys, acceptance criteria, quality thresholds, edge cases, launch criteria, and operating procedures for complex AI and digital-asset capabilities
• Own product testing and launch readiness, including model-output review, API validation, end-to-end workflow testing, performance benchmarking, safety evaluation, regression testing, and production monitoring
• Build feedback loops that connect creative inputs, model behavior, human review, campaign delivery, engagement, conversion, and business outcomes to improve future asset generation and recommendation quality
• Define and manage product economics, including generation cost, inference cost, storage and rendering cost, vendor spend, gross margin, cost per accepted asset, and the tradeoffs among quality, speed, and scale
• Partner with Legal, Privacy, Security, and Brand Safety teams to establish requirements for intellectual-property risk, rights and licensing, consent, likeness, prohibited content, provenance, disclosure, watermarking, data governance, and responsible AI
• Engage directly with advertisers, agencies, creative teams, and commercial stakeholders to understand production constraints, validate product concepts, prioritize use cases, and accelerate adoption
• Build, lead, and develop a high-performing product team and create strong operating mechanisms across Product, Engineering, AI/ML, Design, Creative, and go-to-market functions
• Communicate product strategy, technical tradeoffs, investment needs, quality risks, roadmap progress, launch readiness, adoption, and business impact clearly to executive leadership and cross-functional stakeholders

Requirements:

• 10 or more years of product management experience, including significant leadership experience building technical, AI/ML, creative-technology, AdTech, MarTech, media, or enterprise SaaS products
• Demonstrated end-to-end ownership of generative AI video application that progressed from concept or prototype to a production product used for commercial marketing or advertising
• Proven 0-to-1 product leadership, including opportunity definition, customer discovery, business case development, technical scoping, prototype validation, launch, commercialization, and scale
• Hands-on experience evaluating and using generative AI models, APIs, creative tools, and prototypes across image and video modalities
• Strong practical understanding of multimodal generative AI, including diffusion or transformer-based generation, text and image conditioning, embeddings, model adaptation, inference, orchestration, and evaluation
• Ability to work credibly with engineers and applied scientists on model capabilities, architecture, APIs, data pipelines, latency, reliability, cost, quality, and production tradeoffs
• Deep understanding of commercial image and video production workflows, including concepting, storyboarding, editing, compositing, motion, audio, rendering, resizing, localization, review, approval, and delivery
• Strong understanding of digital advertising and marketing workflows, creative formats, campaign objectives, advertiser and agency needs, publisher specifications, asset trafficking, experimentation, and performance measurement
• Experience defining quantitative and qualitative evaluation systems for generative outputs and distinguishing visually impressive demonstrations from reliable, repeatable, commercially usable products
• Experience building products that incorporate brand controls, creative templates, asset metadata, product catalogs, rights and permissions, approval workflows, and enterprise governance
• Experience with responsible AI, content safety, intellectual-property and likeness risks, provenance, data governance, and brand-safety requirements for commercial creative applications
• Proven ability to write precise product requirements, technical specifications, decision documents, launch plans, success metrics, and executive communications
• Experience leading cross-functional teams across Product, Engineering, Applied Science, Data, Design, Creative, Legal, Privacy, Security, Sales, Marketing, and Customer Success
• Strong business judgment and experience connecting product investment to revenue, adoption, retention, gross margin, customer value, and measurable advertising outcomes
• Demonstrated ability to operate as a self-starter, create structure in ambiguity, make high-judgment tradeoffs, and maintain accountability through production launch and ongoing operation
• Bachelor's degree in computer science, engineering, design, media technology, business, marketing, or a related field, or equivalent practical experience
• Must have mobility to attend meetings remotely and in person
• Must be able to write, type and use a telephone system 100% of the time
• Sitting for prolonged and extended periods of time
• Climbing/Stooping/Kneeling: 0% - 10% of the time
• Lifting/Pulling/Pushing: 0% - 10% of the time
• Experience building advertiser-facing generative creative tools at an advertising platform, DSP, publisher, creative technology company, agency platform, or enterprise marketing-technology provider
• Experience with leading image and video generation ecosystems, model providers, or creative platforms and with integrating model APIs into production applications
• Experience with agentic creative workflows, prompt orchestration, model routing, retrieval-augmented generation, fine-tuning, LoRA or similar adaptation techniques, and human-in-the-loop systems
• Experience with video-specific technologies such as shot planning, temporal consistency, motion control, lip synchronization, voice, audio generation, captions, scene extension, and automated editing
• Experience with digital asset management, content supply chains, creative automation, dynamic creative optimization, product feeds, brand systems, or campaign-management platforms
• Working knowledge of SQL, API tools, notebooks, analytics platforms, or other environments used to inspect model behavior, evaluate outputs, troubleshoot workflows, and validate product performance
• Experience establishing model-quality benchmarks, annotation programs, human evaluation, red-team testing, online experimentation, and production monitoring for generative AI systems
• Familiarity with C2PA or comparable content-provenance standards, watermarking, disclosure practices, copyright and licensing considerations, and emerging AI regulations
• Experience building or managing teams in a high-growth environment where technical curiosity, speed, creative judgment, and hands-on product execution are critical