Role : Freelance Product Manager We’re looking for an experienced Freelance Product Manager to help us build and launch a global-scale SaaS product. This is a high-ownership role where you’ll shape the product from the ground up and work closely with leadership to deliver a fast, high-quality MVP. What You’ll Do Drive the 0→1 product journey — from discovery to MVP launch Work directly with the Head of Engineering to define specs, sprint plans, and technical priorities Manage and collaborate with the Product Designer to deliver world-class UX/UI Translate business goals into clear product requirements and user stories Conduct competitive research and align the product for global markets Ensure fast, iterative development cycles and on-time delivery What We’re Looking For 3–7+ years of Product Management experience Proven experience building SaaS products (global experience is a big plus) AI product experience is nice to have, but not mandatory Experience with HRTech platforms is a plus Strong understanding of 0→1 product execution and MVP mindset Ability to work with engineering and design teams in a fast-paced environment Excellent communication, clarity, and structured thinking Engagement Details Freelance / Part-time role Looking only for Bangalore based applicants.
Head of AI / Chief AI Officer Company: Stealth AI Startup (AI Transformation – Genomics & Precision Medicine) Location: Bengaluru Experience: 10–18+ years Employment Type: Full-time About the Role We are a Stealth AI Startup driving large-scale AI transformation initiatives for a leading organization in genomics, biotechnology, and precision medicine. We are looking for a Head of AI / Chief AI Officer to own and execute the end-to-end AI strategy — from vision and architecture to production systems and real-world impact. This is a senior leadership role for someone who has built and scaled AI platforms in high-ambiguity environments and can translate complex scientific and business problems into scalable AI solutions. What You’ll Do AI Strategy & Transformation Define and execute a company-wide AI roadmap aligned with long-term business and scientific goals Identify and prioritize high-impact AI use cases across genomics, drug discovery, diagnostics, and internal operations Establish an AI-first operating model across teams Genomics & Multi-Omics AI Lead AI/ML pipelines for whole genome sequencing, variant interpretation, polygenic risk scoring, and multi-omics integration Ensure clinical-grade validation, reproducibility, and robustness of models AI-Driven Drug Discovery Drive AI initiatives across target identification, biomarker discovery, generative chemistry, virtual screening, and ADMET prediction Accelerate discovery-to-preclinical timelines using AI AI Platforms & Products Build scalable AI platforms for diagnostics, precision medicine, and research partnerships Define data and model monetization strategies including platform licensing and co-development Translate research outputs into production-ready, revenue-generating systems AI Engineering & MLOps Own AI architecture, cloud/GPU strategy, model deployment, and MLOps/LLMOps pipelines Ensure systems are secure, scalable, compliant, and production-grade Leadership & Team Building Build, mentor, and lead high-performing AI research and engineering teams Set technical standards and review complex system designs External Collaboration Act as the AI leader for partners, investors, and collaborators Support fundraising and strategic partnerships with strong AI narratives and demos What We’re Looking For Required 10–18+ years of experience in AI / ML / Applied AI Proven experience leading AI transformation initiatives (not just isolated models) Strong hands-on understanding of machine learning, deep learning, and production AI systems Ability to convert business and scientific problems into scalable AI solutions Preferred / Nice to Have Experience in life sciences, genomics, drug discovery, or healthcare AI Prior role as Head of AI, Chief AI Officer, Principal AI Architect, or AI Platform Lead Experience building AI teams from scratch in startup or high-growth environments Exposure to global enterprise or pharma partnerships Why Join Build an AI-native transformation engine from the ground up Work on proprietary, high-impact biological and genomic data High ownership, autonomy, and leadership visibility Competitive compensation with meaningful long-term upside