[Hiring] Staff Product Manager @Addi

Role Description

This is where you come in. Below, you’ll find what this role is all about—the impact you’ll drive, the challenges you’ll tackle, and what it takes to thrive at Addi. If you’re ready to be part of something big, keep reading.

What’s the mission you’ll drive:

• Scale Addri, Addi’s AI-powered conversational assistant, from a support-focused prototype into the primary, unified in-app interface.
• Leverage Addi’s closed-loop data advantage to convert complex app flows into natural, grounded, and trust-building conversational interactions.

What you will do:

• Launch In-App & Raise Quality: Bring Addri live to establish a continuous review cadence, driving up AI resolution rates and CSAT while reducing support ticket load.
• Conversational Shopping: Launch product discovery and purchase-assist flows to increase task completion and conversion with honest recommendations.
• Conversational Banking & Credit: Deploy credit line, balance, and payment flows with high response accuracy and strict escalation guardrails.
• Evaluation Foundation: Build robust test sets, LLM-judge frameworks, and pre-launch quality gates to guarantee zero ungated releases.
• Trust, Safety & Grounding: Partner with Risk, Data, and Legal to define grounding data sources, action confirmation mechanics, and compliance protocols.
• Strategic Roadmap & Business Case: Deliver a comprehensive business case quantifying cost savings and conversion impact to guide future investment.

Qualifications

• Track record of shipping customer-facing LLM products (assistants, agents) beyond demos, mastering end-to-end conversational flows and failure handling.
• Proven ability to scale early-stage products, navigate ambiguity without a playbook, and drive iterative improvements post-launch.
• Deep experience establishing evaluation frameworks (test sets, LLM-as-a-judge, human review) and defining strict quality thresholds per use case.
• Technical fluency in RAG, embeddings, prompting, and tool-use to collaborate effectively with ML engineers on product decisions.
• Experience deploying AI in high-stakes environments, implementing human handoffs, privacy protections, and safety limits for critical actions.
• Native fluency in Colombian Spanish to judge tone and local nuances accurately, paired with fluent professional English.
• Active hands-on usage of modern AI tools, staying ahead of model capabilities, limitations, and industry developments.

Benefits

• Work on a problem that truly matters—redefining how people shop, pay, and bank in Colombia.
• Be part of something big from the ground up, influencing technology, strategy, culture, and values.
• Unparalleled growth opportunity in a fast-scaling company.
• Join a world-class team focused on excellence, ownership, and collaboration.
• Competitive compensation, equity in the company, and benefits that support your growth.

How the hiring process looks like

• Step 1: People Interview (30 min) - A conversation with a recruiter to get to know you, your experience, and what you're looking for.
• Step 2: Initial Interview (45 min) - A more in-depth conversation with the hiring manager to explore your skills, experience, and problem-solving approach.
• Step 3: Deep Dive Interviews (30-45 min each) - Meet future colleagues and cross-functional team members to understand how we work together.
• Step 4: Live Business Case (60 minutes) - Complete a real-world challenge or case study to showcase your expertise.
• Step 5: Co-Founder Interview - Final conversation with our Founder to align on expectations and cultural fit.