Susan Olapade

Co-founder & CPO · Akaani  |  Business Intelligence Engineer II · AWS

Summary

Growth-focused product leader with 6+ years driving adoption of AI-powered systems at scale. Co-founder and CPO of Akaani, where I own the full growth funnel (acquisition, activation, retention, expansion) for an AI platform with 2,000+ signups and 42% DAU lift post-launch of conversational AI assistant. At AWS, I drove adoption of data products to 5,000+ users (11,000+ views in 30 days), pioneered the first LLM-powered narrative automation for AWS Marketplace reporting, and am currently shipping agentic AI systems in production (multi-dimensional renewals agent, oncall support agent). I think in systems, ship with urgency, and bring founder-level ownership to every problem.

Experience

Co-founder & Chief Product Officer

Akaani

2022 — Present

  • Co-founded and lead product for the first mobile app (iOS and Android) to track macros for Nigerian meals, built a proprietary database of 200+ authentic Nigerian meals, a dataset no general-purpose LLM has
  • Own the full product function: manage a product designer and product marketer, define roadmap, set growth strategy, and drive execution across acquisition, activation, and retention
  • Grew to 2000+ signups and 200 DAUs through referral, word of mouth, social media, and SEO; designed onboarding and habit loops that drive weekly re-engagement
  • Designed the core system architecture: structured data layer to rule-based filtering to GPT-3.5 reasoning, producing consistent, culturally-aware outputs that general models cannot replicate
  • Introduced Lu, a conversational AI assistant that generates personalized weekly meal plans and grocery lists, drove a 42% increase in DAU post-launch

Business Intelligence Engineer II (L5)

Amazon Web Services · AWS Marketplace

2023 — Present

  • Pioneered the first LLM-powered narrative automation for AWS Marketplace reporting, engineered 20+ aggregated data tables, automated business narrative generation, and created a reusable framework adopted org-wide
  • Building agentic AI systems in production: multi-dimensional renewals agent (currently in testing) and an oncall support agent that automates data access, metrics definitions, and discovery, cutting response time from hours to seconds for repetitive stakeholder questions
  • Building a propensity-to-renew predictive model scoring expiring software subscription offers (0 to 1 likelihood), enabling teams to shift from reactive outreach to proactive, data-driven prioritization
  • Drove adoption of compliance tracking dashboard to 5000+ users and 11000+ views within 30 days, delivered in 2 days, saving approximately 40 hours per week in manual tracking; grew usage through product-embedded email campaigns with visual mockups
  • Consolidated legacy dashboards processing 100M+ rows, reduced load time from 90+ seconds to under 5 seconds, directly driving activation and retention of 300+ users within 7 days
  • Established single source of truth for renewals metrics in under 2 weeks, eliminated reporting fragmentation and drove adoption across 180+ stakeholders in sales operations, finance, and partner management
  • Promoted from L4 to L5 based on technical breadth, scope of impact, and ability to navigate ambiguity independently

Business Intelligence Engineer I (L4)

Amazon Web Services · Partner Intelligence

2022 — 2023

  • Owned a self-service partner intelligence dashboard with 50K+ annual views and 800+ users, optimizing backend runtime from 2 hours to 30 minutes
  • Implemented 3 incentive program automations in 3 weeks, eliminating 6 hours per week of manual work across 5+ stakeholders
  • Built the first-of-its-kind data access control solution for the organization, bringing 50+ dashboards to 100% compliance in 1 month, later adopted as the standard across 150+ dashboards org-wide

Skills & Tools

Product: Growth strategy, Acquisition and activation, Funnel optimization, User research, Roadmap prioritization, Stakeholder management
AI & Data: LLM systems, Prompt engineering, Predictive modeling, Agentic workflows, SQL, Python, Redshift
BI: QuickSight, Tableau, Data modeling, ETL pipelines, Row Level Security
Platforms: AWS Marketplace, Salesforce, Next.js, Vercel

Education

MSc in Management of Technology

New York University

2021 — 2023

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