BJ Adesoji

I drive GitLab's strategic partnerships with Agentic AI platforms that create a "graduation path" for developers into the GitLab ecosystem. I identify, evaluate, and secure partnerships with influential AI coding platforms and open-source communities, positioning GitLab's advanced AI offerings like the Duo Agent Platform as indispensable components of AI-enhanced development workflows. • Opencode: I launched GitLab Duo as inference provider on OpenCode https://opencode.ai/docs/providers, https://x.com/opencode/status/2012170592657498383 • Cursor: I launched GitLab’s MCP Plugin (GitLab Assistant + MCP tools) on the Cursor marketplace within 1 week https://cursor.com/marketplace/gitlab • Lovable: I launched GitLab's OAuth integration into Lovable exposing GitLab's SCM/CICD for GitLab + Lovable clients https://docs.lovable.dev/integrations/gitlab • Kilo code: Auth and Login to Kilo via your GitLab account OAuth https://app.kilo.ai/get-started Gitlab now supports Kilocode's review agent https://kilo.ai/docs/automate/code-reviews/gitlab • Packmind: I launched Packmind's context management integration to GItLab Duo as a target surface https://docs.packmind.com/governance/git-repository-connection#gitlab-setup Also integrated Packmind with GitLab via Agent Skills https://docs.packmind.com/concepts/artifact-rendering#where-skills-appear

Senior Product Manager on Data Observability by Databand, improving data quality and client experience for our esteemed clients. Own the product strategy and features to improve the performance of IBM's hybrid cloud observability products and partnerships.

Product Management lead for the IBM Data & AI + AWS partnership, redefining the product vision and strategy to enable the business unit to surpass its $XXXM commitment to AWS • Led a cross-functional team to execute the technical roadmap, coordinating resources to build and launch IBM products on the AWS marketplace 50% faster, within 1H2024, enhancing our products’ visibility and accessibility • Led a cross-functional team to strategize and launch multiple product integrations between IBM’s and AWS’ AI portfolio, improving product synergies, customer experience, and revenue by ~5%. • Established a set of KPIs and metrics to track the feature effectiveness, measure impact, and make data-driven decisions for our backlog prioritization.

Product Manager on IBM's Cloud Pak for Data (CPD) B2B SaaS Platform team, where I shipped many platform features and capabilities: • Improved trial experiences for IBM's leading Cloud Pak for Data, which led to an 11% improvement in registration drop-offs, and strengthened our PLG efforts • Increased client count by 1.2% via leading an agile team to size, prioritize, and ship Data & AI platform features such as App-ID support, VPC Gen2 CSSE support, and project-per-user hard limit removal. This product roadmap was influenced by user interviews and usage data analysis. • Owned the strategy, roadmap, and features of the IBM Cloud Pak for Data and watsonx Sales Configurator, used by over 10,000 sellers and technical sellers, to configure, size, and validate Data and AI solutions, driving significant workloads of over $1B annual value for customers • Engaged with and advocated for customer needs from metrics & KPIs from Amplitude, Aha, and Git to build viable dashboards: funnel analysis, segmentation, retention, and cohort analysis cases, resulting in better product alignment. • Managed the re-evaluation, planning, and execution of a platform-wide pricing update for Data and AI SaaS Packaging, enhancing conversion rates and user experience

• Led the AI Product Management for the IBM Trust in AI toolkit research team, contributing features to the open-source, cross-platform Adversarial Robustness Toolkit, enhancing user experience and product performance • Developed the product strategy and collaborated on MVP testing and analytics for the Toolkit, enhancing its effectiveness and user engagement • Published my preliminary findings in the 2022 Workshop on Socially Responsible Machine Learning (SRML), contributing to the discourse on ethical AI practices

Founded an international college matching platform, achieving 200% MoM MAU growth and 100K monthly impressions in six months. • Boosted user engagement by 150% with AI-powered features such as personalized college recommendations and scholarship-matching algorithms • Increased revenue by 40% via strategic partnerships with educational institutions, and scholarship providers and launching new career counseling and online tutoring features. • Built a global team of six within two months, fostering a culture of innovation and agility. • Achieved a 70% satisfaction rate by cutting drop-offs by 20% through A/B testing and optimized onboarding workflows.

As an AI Graduate Research Assistant, I • Developed and deployed a High-Performance Computing (HPC) Whole Device Modeling Application (WDMAp) nuclear fusion simulation coupling library to achieve in-memory data transfer across multiple legacy codes, increasing the modularity and ease of use of existing energy simulation software • Built a machine learning smart manufacturing prediction software using the Bayesian approximation algorithm, enhancing production efficiency and decision-making processes

• Conducted a competitive analysis to enhance product position and optimize market share by $0.XM, leading to improved market positioning • Led the market research, MVP creation, management pitch, and product requirement documentation, resulting in a digitization product with $50K annual cost savings. Enhanced team collaboration using agile methodologies to develop and pitch the MVP, presenting 6 epics to capture customer purchase behavior and usage tracking features

• Developed and sold an outdoor advertising analytics platform for $XXK, using computer vision and machine learning to provide enhanced data insights, resulting in increased sales opportunities

• Led the product strategy and execution for the web order customization redesign, enhancing user experience and lifting retention by 10% • Executed the end-to-end product roadmaps for both web and mobile, increasing customer lifetime value by approximately 15% and expanding the customer base by 5% within 3 months • Coordinated web analytics, and A/B testing to inform user personas and feature prioritization, increasing customer engagement by 11%