Job Title: Chief AI Officer (CAIO)
Location: Hybrid (India / Global)About MacroVision AI
MacroVision AI builds AI models & solutions for real-world impact — leveraging generative AI, domain-specific modeling, automation, and data scalability to solve industrial, enterprise, and societal challenges. We are mission-driven: pushing the frontier of applied AI to deliver high-leverage, scalable solutions that create tangible value across sectors.We are member of NVIDIA Inception Program.As a founding or early senior leader, you will help define the AI core of MacroVision — its technical foundation, IP strategy, product vision, and its reputation in the research + industry community.
Role Overview
As Chief AI Officer, you will lead MacroVision’s technical vision for AI, drive R&D and productization of AI models and pipelines, build and mentor the AI team, and align AI strategy with business objectives. You’re a strategic thinker, a hands-on technologist, and a growth-oriented leader.
Key Responsibilities
1. Strategic & Visionary Leadership
- Define MacroVision’s AI roadmap: short-, mid-, long-term model and platform goals.
- Advise CEO, Board, and leadership on AI trends, risks, and opportunities.
- Position MacroVision AI as an innovation leader in AI research, domain adaptation, and deployment.
2. Model, Research & Product Architecture
- Lead the research, development, and deployment of key AI models (foundation models, domain-tuned models, multimodal systems, etc.).
- Oversee data pipeline design, model training workflows, MLOps, inference infrastructure, and optimization.
- Ensure robustness, interpretability, security, and ethical standards across AI systems.
- Guide IP protection: patents, model licensing, and trade secrets.
3. Team Building & Culture
- Build, recruit, and lead cross-disciplinary teams (researchers, ML engineers, data engineers).
- Mentor, set standards, and cultivate high-performance culture in AI and tech.
- Establish best practices in code, experiments, model governance, reproducibility.
4. Business & Go-to-Market Alignment
- Collaborate with Product, Sales, and Go-to-Market units to integrate AI capabilities into compelling customer solutions.
- Help define differentiators and technical value propositions for clients and markets.
- Support fundraising: create AI technical narratives, demo models, and help with technical diligence.
5. Performance, Evaluation & Metrics
- Set measurable AI KPIs (model accuracy improvements, latency, cost-efficiency, failure modes, etc.).
- Monitor and optimize AI systems in production for reliability, scalability, and cost.
- Generate patents, publish research, or open-source key components, where strategic.
- Contribute to revenue, cost savings, or operational leverage via AI — measurable impact.
Qualifications
Essential:
- 7+ years in advanced AI/ML roles (research, product, enterprise scale).
- Deep experience in means such as LLMs, multimodal AI, model fine-tuning, domain adaptation.
- Proficiency in Python, relevant ML frameworks (PyTorch, TensorFlow), MLOps tooling, and scalable cloud infrastructures (e.g. AWS, GCP, Azure).
- Experience in deploying AI at scale, handling inference optimization, latency, throughput constraints.
- Strong foundation in ethics, AI fairness, robustness, data privacy/security.
Preferred:
- Master’s or PhD in AI / ML / CS / related field.
- Prior leadership in early-stage AI organizations (Head of AI, Chief Scientist, etc.).
- Publications, patents, open-source contributions in AI.
- Prior success in fundraising/technical due diligence contexts.
Compensation & Equity Structure
Phase 1 – Pre-Fundraising (Sweat Equity Phase)
- Compensation: Primarily via sweat equity (from MacroVision’s ESOP / founder pool).
- Equity Range: 0.5% – 2.0% (depending on experience, impact, stage).
- Vesting: Standard 4-year vesting with a 1-year cliff (or negotiated).
- Milestone Accelerations: Ability to accelerate vesting or bonus top-ups on major milestones (e.g., product launches, funding rounds, acquisitions).
Phase 2 – Post-Fundraising
- Transition to base market-competitive salary aligned with funding stage and similar leadership roles.
- Continued eligibility for performance-based ESOP top-ups or refresh grants.
- Potential bonus / incentive schemes tied to AI benchmarks, IP generation, revenue, or efficiency improvements.
Performance Metrics & Incentives
- Delivery of core AI models/products to market on schedule and within quality thresholds.
- Measurable business impact: revenue, cost savings, client success attributable to AI.
- Number and quality of patents, publications, or IP assets.
- Operational excellence: uptime, latency, reliability, maintainability of AI stack.
- Team growth, retention, mentorship, and culture indices.
- Role in successful fundraising, technical diligence, and investor confidence in technology.
Why Join MacroVision AI?
- Be a foundational leader in shaping the AI soul of a high-potential, impact-driven venture.
- Very high upside through equity and performance incentives.
- Autonomy to research, innovate, publish, and build unique models and IP.
- Collaboration across business, product, and domain verticals to bring real-world AI solutions to life.
- Influence not just technology, but the overall direction, culture, and success of MacroVision AI.
