Abimbola Akala
@abimbolaakala
AI product manager building 0-to-1 ML-powered consumer and enterprise products.
What I'm looking for
I am an AI product manager and 0-to-1 builder with hands-on experience shipping ML-powered consumer and enterprise products. I have led end-to-end product efforts— from prototype to production—using LLMs, Vertex AI, BigQuery, and modern AI-native tooling.
At my current role I drove AI product strategy for a large talent marketplace, launching deep-learning matching features that improved hiring conversion and candidate sentiment while reducing defect impact across teams. I founded and product-led an AI film discovery app, creating a 12-dimensional Cinephile DNA scoring system, an automated BigQuery pipeline, and a reinforcement learning feedback loop to solve cold-start problems.
I combine technical fluency in Python, JavaScript, SQL, GCP, and Vertex AI with strong product practice—PRDs, A/B experimentation, Figma prototyping, and multi-sided marketplace design—to deliver measurable growth and validated user outcomes. I am results-oriented, data-driven, and comfortable shipping with small or no engineering teams.
Experience
Work history, roles, and key accomplishments
Founder & Product Lead
Kini
Oct 2025 - Present (5 months)
Built and shipped Kini, an AI film discovery app from 0-to-1 using Gemini, Vertex AI Search and BigQuery; validated product with live prototype, early waitlist signups, and investor interest.
Led AI product strategy for Workday Recruiting and launched a deep-learning candidate-job matching feature that drove a 12% lift in hiring conversion and improved candidate sentiment by 37%.
Conducted mixed-methods user research and partnered with cross-functional teams to prototype features in Figma, informing prioritization for an enterprise platform serving thousands of organizations.
Built an automated web-scraping pipeline that generated 1,800+ qualified prospects and expanded the new business pipeline by 32%, and created Salesforce dashboards for senior leaders.
Analyzed 500K+ content data points with SQL and Python to inform content investment strategy and proposed an AI personalization layer using co-watch patterns and embeddings presented to executives.
Education
Degrees, certifications, and relevant coursework
Babson College
Bachelor of Science, Information Technology Management
Grade: Magna Cum Laude
Activities and societies: GHC Scholar; Women In Product Scholarship; Society of Women Engineers (SWE) recipient
Completed a Bachelor of Science in Information Technology Management with honors and multiple scholarships recognizing academic and leadership achievements.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Website
thekiniapp.comJob categories
Skills
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