Senior Product Manager, AI Products

Boostlingo is at a strategic inflection point as AI reshapes the language access and interpretation industry. The Senior Product Manager in AI will lead the development of AI-native products from concept to production, driving measurable business outcomes and collaborating closely with engineering and design teams.

Responsibilities:

• Identify high-value AI opportunities
• Prototype solutions using modern AI tooling
• Define technical and UX direction
• Ship product increments directly
• Partner with engineering to harden and scale
• Own measurable business outcomes
• Identify real user problems worth solving with AI
• Validate opportunity through direct user discovery
• Build early prototypes using LLMs, APIs, scripts, and lightweight code
• Design the interaction model and UX flows
• Define system architecture in collaboration with engineering
• Drive the product from 0 → 1 → scale
• Define success metrics beyond surface engagement
• Create evaluation loops (offline + online)
• Design for uncertainty and guardrails
• Balance accuracy, latency, and cost
• Architect learning feedback loops
• Partner closely with Design to shape problems before solutions
• Co-create workflows that balance usability and feasibility
• Pressure test concepts with engineering and research early
• Hold the line on utility over novelty across disciplines
• Use LLMs to write and debug code
• Spin up lightweight services
• Build internal tools and scripts independently
• Prototype with Python / JavaScript or equivalent
• Experiment directly with model APIs
• Understand token economics and cost structures
• Connect product initiatives to revenue or strategic advantage
• Define clear success metrics
• Prioritize ruthlessly
• Cut scope intelligently
• Kill weak ideas early
• Break large problems into shippable increments
• Avoid gold-plating
• Ship early versions quickly
• Iterate based on real usage
• Measure outcomes rigorously
• Drive cross functional outcomes across teams

Requirements:

• 5-7+ years in Product Management, ideally with 2+ years building AI-driven products
• Demonstrated hands-on prototyping experience
• Strong technical fluency (former engineer or highly technical PM preferred)
• Experience launching AI systems into production
• Proven record of shipping 0→1 products
• Experience with RAG architectures
• Experience designing evaluation frameworks
• Familiarity with cost optimization in AI systems
• Exposure to AI safety and risk mitigation