Senior Product Manager, AI Products

ABOUT US

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. 

 

THE ROLE

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.

 

WHAT YOU'LL OWN

1. 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

       You will operate across:

• • Prompt design
  • RAG systems
  • Evaluation frameworks
  • Basic front-end and API experimentation
  • Data instrumentation
  • Model iteration cycles

 

1. AI-Native Product Strategy: You understand that AI products are probabilistic systems. You will:

• 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

You will not treat AI as a feature. You will design systems that improve over time.

 

1.  High-Utility Interface Design: You believe AI is only valuable if it meaningfully improves workflow. You will:

• 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
  
  

We value product clarity over product cleverness.

 

1.  Technical Prototyping & AI-Augmented Building: You actively use AI tools to build. We expect you to:

• 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
  
  

You do not wait for engineering to validate every idea. You test assumptions yourself.

1. Business & Outcome Ownership You understand why we build. You will:

• Connect product initiatives to revenue or strategic advantage
• Define clear success metrics
• Prioritize ruthlessly
• Cut scope intelligently
• Kill weak ideas early
• You think in impact, not activity.

 

 

WHAT WE ARE LOOKING FOR 

• Agency Over Depth. We prioritize operators who move.
  
  
  • Push through ambiguity
  • Solve blockers independently
  • Figure things out
  • Prefer action over alignment theater
  • Escalate only when truly necessary
  • You do not wait for perfect clarity.
  • You generate clarity through motion.
    
    

• Systems Thinking: You: