About the Company
A forward-thinking organization driving innovation through AI solutions that transform business operations. The company develops advanced AI products — from diagnostic agents to scalable automation tools — that help clients and internal teams accelerate efficiency, discovery, and growth.
About the Role
The AI Lead & Product Manager will be responsible for building and scaling the organization’s AI capabilities from concept to commercialization. This hybrid role combines product strategy, technical leadership, and hands-on execution — taking ideas from zero to MVP and evolving them into production-ready, revenue-generating solutions.
You’ll define and own the AI roadmap, lead small cross-functional teams, and contribute directly to prototype builds, infrastructure setup, and go-to-market delivery. This is an opportunity to architect the company’s AI engine and drive real business outcomes through innovation and speed.
Key Responsibilities:
- Define and own the AI roadmap with an MVP-first approach, prioritizing speed and validation.
- Translate diagnostics and client needs into prototypes and full-scale AI implementations.
- Build and evolve AI diagnostic and automation tools to accelerate delivery.
- Co-develop pricing, packaging, and GTM strategies with leadership.
- Establish success metrics to measure adoption, ROI, and commercial impact.
- Oversee AI solution design, development, and deployment.
- Manage internal and freelance AI engineers, ensuring quality and security.
- Lead data integration across CRMs, APIs, and structured/unstructured data sources.
- Set up and evolve infrastructure for AI pipelines and automation delivery.
- Evaluate and adopt emerging AI technologies (LLMs, embeddings, agents, etc.) for business impact.
- Build and manage a hybrid team of developers, data scientists, and designers.
- Translate AI capabilities into business value through clear narratives, demos, and results.
- Partner with sales and marketing to define positioning, pricing, and client success metrics.
Required Skills
- 5+ years in product management, technology, or AI delivery roles within startups or early-stage environments.
- Proven track record of launching MVPs quickly and scaling based on feedback.
- Strong grasp of AI/ML fundamentals and technical fluency to guide engineering teams.
- Experience managing hybrid or cross-border teams.
- Demonstrated commercial acumen — balancing product vision with measurable business outcomes.
- Excellent leadership, communication, and stakeholder management skills.
- Hands-on mindset with a strong bias toward execution and accountability.
Nice to Have Skills
Experience with:
- Languages/Frameworks: Python, FastAPI, LangChain
- AI/ML Platforms: OpenAI, HuggingFace, Vertex AI, Azure AI, or similar LLM stacks
- Data & Automation Tools: Snowflake, BigQuery, dbt, Airbyte/Fivetran, Zapier/Make
- Infrastructure: GCP/AWS, Docker, GitHub Actions, CI/CD pipelines
Additional Information
Key Metrics:
- Time to prototype: <10 days from idea to MVP
- Diagnostic-to-pilot conversion rate
- Recurring revenue growth from AI products
- Client ROI uplift per automation case
- Delivery efficiency and turnaround time
This role is ideal for a hands-on builder and strategic thinker who thrives in fast-paced, innovation-driven environments - someone ready to architect, lead, and scale the next generation of AI products.