Staff Product Manager - Conversational AI
Addi · Remote · LatAm ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Staff Product Manager
- Conversational AI focus
- Fully remote
- Spanish & English required
- Equity included
You will lead the evolution of Addri from a support prototype to a unified interface for millions of users. By utilizing first-party data, you will transform complex financial flows into natural, trustworthy conversational interactions for shopping, credit management, and payments.
What you'll do
- Launch Addri in-app to increase AI resolution rates and lower support ticket volume
- Implement product discovery and purchase-assist flows to boost conversion
- Deploy credit line and payment features with strict accuracy and escalation rules
- Build evaluation frameworks using test sets and LLM-judge systems for quality control
- Collaborate with Risk and Legal teams to define grounding data and safety protocols
- Create business cases quantifying cost savings and conversion impact for investment
What you'll need
- Proven track record shipping customer-facing LLM products beyond initial demos
- Experience scaling early-stage products and driving iterative improvements post-launch
- Deep expertise in AI evaluation frameworks including human review and quality thresholds
- Technical fluency in RAG, embeddings, prompting, and tool-use for ML collaboration
- Background in deploying AI with human handoffs and privacy protections in high-stakes areas
- Native Colombian Spanish fluency and professional English proficiency
- Active daily usage of modern AI tools and understanding of model capabilities
Stack
- LLMs
- RAG
- Embeddings
- Prompting
- AI Evaluation Tools
How you'll work
- Fully remote position
- Global team collaboration
What you get
- Competitive salary package
- Equity ownership in the company
- Comprehensive benefits beyond basics
- Opportunity to shape company strategy and culture
Hiring process
- People Interview with recruiter (30 min)
- Initial Interview with hiring manager (45 min)
- Deep Dive Interviews with team members (30-45 min each)
- Live Business Case challenge (60 min)
- Final conversation with Co-Founder