Staff Product Manager - Conversational AI

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 through which millions of customers shop, manage credit, make payments, and resolve issues. This role leverages Addi’s closed-loop data advantage, including first-party identity, credit line or cupo, order history, and payment schedules, 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.

What we’re looking for

• LLM Product Scale: Track record of shipping customer-facing LLM products (assistants, agents) beyond demos, mastering end-to-end conversational flows and failure handling.

• Continuous Improvement Mindset: Proven ability to scale early-stage products, navigate ambiguity without a playbook, and drive iterative improvements post-launch.

• Rigorous AI Evaluation: Deep experience establishing evaluation frameworks (test sets, LLM-as-a-judge, human review) and defining strict quality thresholds per use case.

• Deep Data Science & ML Partnership: Technical fluency in RAG, embeddings, prompting, and tool-use to collaborate effectively with ML engineers on product decisions.

• Trust & Safety Guardrails: Experience deploying AI in high-stakes environments, implementing human handoffs, privacy protections, and safety limits for critical actions.

• Bilingual Capability (Spanish/English): Native fluency in Colombian Spanish to judge tone and local nuances accurately, paired with fluent professional English.

• Daily AI Fluency: Active hands-on usage of modern AI tools, staying ahead of model capabilities, limitations, and industry developments.

Why join us?

• Work on a problem that truly matters – We are redefining how people shop, pay, and bank in Colombia, breaking down financial barriers and empowering millions. Your work will directly impact customers' lives by creating more accessible, seamless, and fair financial services.

• Step 1: People Interview (30 min)
  A conversation with a recruiter to get to know you, your experience, and what you're looking for. We’ll also share more about Addi, our culture, and the role.

• Step 2: Initial Interview (45 min)
  A more in-depth conversation with the hiring manager, where we explore your skills, experience, and problem-solving approach. We want to understand how you think and work.

• Step 3: Deep Dive Interviews (30-45 min each)
  You'll meet future colleagues and cross-functional team members to get a feel for how we work together. We’re looking for strong contributors and cultural fits, so bring your questions, too!

• Step 4: Live Business Case (60 minutes)
  You may receive a real-world challenge or case study to complete. This is a chance to showcase your expertise and how you approach key problems relevant to the role.

• Step 5: Co-Founder Interview
  If there’s a strong match, you’ll have a final conversation with our Founder to align on expectations, cultural fit and ensure