Senior Product Manager, AI Products

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.

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.

• 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:  
  
  • Understand how data, models, UX, and economics interconnect
  • Anticipate scaling issues early
  • Think in feedback loops
  • Design with monitoring and evaluation in mind
    

• AI Fluency You:
  
  • Understand LLM behavior, embeddings, RAG, fine-tuning
  • Know the difference between deterministic and probabilistic systems
  • Design around hallucination risk
  • Have hands-on experience building with AI APIs
  • Are already using AI daily to accelerate your workflow

• Builder Mindset You have likely:
  
  • Built side projects using AI
  • Shipped prototypes independently
  • Written production or near-production code
  • Created technical demos without waiting on engineering
  • Experimented with model tuning or evaluation pipelines
  • We value evidence of building.

• Strong Product Judgment You:
  
  • Can clearly articulate why something should exist
  • Distinguish novelty from utility
  • Prioritize based on leverage
  • Understand user psychology and workflow design

• Execution Discipline You:
  
  • 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

• Not a backlog manager
• Not a documentation specialist
• Not a pure strategist
• Not a feature coordinator
• Not someone who relies entirely on engineering to experiment
• This is a builder role with executive-level ownership.

• 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

• Products they personally helped build end-to-end
• Code or prototypes they have written
• Examples of overcoming blockers independently
• Clear articulation of why their product mattered
• Evidence of using AI to accelerate development
• Expect practical exercises, not theoretical discussions.
• What Success Looks Like in 12 Months
• Shipped at least one AI product with measurable user impact
• Built a sustainable feedback loop for model improvement
• Demonstrated cost-aware scaling
• Established strong product-engineering trust
• Elevated the organization’s standard for AI product quality

• AI is compressing the distance between idea and execution.
• The product leaders who thrive in this era:
• Build
• Experiment
• Ship
• Iterate
• Own outcomes

If you are already operating this way — and want the autonomy to build at a higher level — we’d love to talk.

WHAT MAKES BOOSTLINGO A GREAT COMPANY? 

• Values and mission-based ethos that drives our product development strategy 
• Fun, energetic environment with an incredible culture (just ask about our eNPS scores!)  
• Hybrid/Remote working arrangements 
• Competitive compensation and robust benefits offerings, including 401(k) plan with match! 
• Flexible PTO 

We are an equal opportunity employer and value diversity here at Boostlingo. Boostlingo does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. 

This role is remote however, we can only hire in the following states at this time: 
Arizona, California, Colorado, Florida, Georgia, Illinois, Maine, New Jersey, New York, Oregon, Pennsylvania, Tennessee and Texas. 

No Agencies Please, C2C candidates will not be utilized at this time. 
NO Relocation or Sponsorship are being offered for this position.