About The Position

Boostlingo is at a strategic inflection point. As AI reshapes the language access and interpretation industry, we are accelerating toward becoming an AI-forward, enterprise-ready platform. Our next phase requires stronger product, increased engineering velocity, deeper enterprise credibility, and a culture of ownership and cross-functional accountability. We are building Boostlingo 2.0 — and the Senior Product Manager in AI will play a central role in that transformation. We believe product management is evolving. The future is not specification writers and roadmap coordinators. The future is product builders — high-agency operators who: Understand deeply why we are building Prototype before they debate Use AI to write, debug, and ship code Design high-utility interfaces Push through blockers instead of escalating them Take full-stack ownership of outcomes We are looking for a Senior Product Manager who embodies this shift. You will lead the development of AI-native products from concept to production. This is not a coordination role. This is a builder role. You will: 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 You are not just defining the roadmap — you are building it.

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

Nice To Haves

  • Experience with RAG architectures
  • Experience designing evaluation frameworks
  • Familiarity with cost optimization in AI systems
  • Exposure to AI safety and risk mitigation

Responsibilities

  • End-to-End Product Development
  • 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
  • Prompt design
  • RAG systems
  • Evaluation frameworks
  • Basic front-end and API experimentation
  • Data instrumentation
  • Model iteration cycles
  • AI-Native Product Strategy
  • 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
  • High-Utility Interface Design
  • 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
  • Technical Prototyping & AI-Augmented Building
  • 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
  • Business & Outcome Ownership
  • Connect product initiatives to revenue or strategic advantage
  • Define clear success metrics
  • Prioritize ruthlessly
  • Cut scope intelligently
  • Kill weak ideas early

Benefits

  • Competitive compensation and robust benefits offerings, including 401(k) plan with match!
  • Flexible PTO
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