Senior Product Manager, AI Products

Remote Full-time
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

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





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.


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.


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.

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:

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





WHAT THIS ROLE IS NOT

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.



MINIMUM QUALIFICATIONS:

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



PREFERRED QUALIFICATIONS:

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



HOW WE EVALUATE CANDIDATES
We will prioritize candidates who can demonstrate:

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



WHY THIS ROLE MATTERS

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.

Apply Now

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