Product manager and MIT Sloan MBA student with experience building AI and B2B products at Microsoft and Glassdoor. I turn customer needs and ambiguous problems into products teams can ship.
I'm an MBA candidate at MIT Sloan, where I'm a Dean's Fellow and pursuing a certificate in Product Management. I studied Computer Science at Vanderbilt with a minor in Engineering Management, which first got me interested in how technical and business decisions come together.
During my MBA, I joined Microsoft as a Product Manager Intern on Viva Glint, Microsoft's employee-listening product. I identified customer needs, defined product strategy and requirements, aligned cross-functional teams, and moved customer-facing survey experiences and internal AI productivity tools from discovery toward delivery.
Before business school, I spent four years at Accenture as a management consultant, then joined Glassdoor. There, I worked across go-to-market strategy, strategic and business operations, and later transitioned into product management on the Employer Branding team.
Those experiences shaped how I build: start with customer evidence, use data to clarify the opportunity, and align teams around a practical path to delivery. I'm especially drawn to AI and B2B products where thoughtful workflows can make complex work meaningfully easier.
Built and launched a 0-to-1 internal AI product with three coordinated workflows for a 50-person product team, cutting pilot PMs' status-report preparation time by an estimated 40%. Shaped the FY27 survey-authoring strategy through customer research, product analytics, and cross-functional input, and drove a highly requested customer feature from discovery to engineering commitment in three weeks.
Dean's Fellow (top 5% of incoming class) pursuing a Product Management Certificate. Focused on product, technology strategy, and leadership.
Spearheaded requirements and design discovery for an AI-driven employer branding feature, boosting usability and engagement by 20%. Collaborated with UX researchers, ML, and engineering across 3 iterations of feature concepts.
Led an 8-person cross-functional team to launch a new branding product beta, achieving 110% of client targets. Built opportunity sizing models identifying $100–135M in potential revenue and revamped pricing strategy to recover $60M in lost revenue.
Advised C-Suite on annual strategic planning, developed prioritization frameworks, and drove GTM strategy projects that uncovered $100M in additional revenue opportunities.
Advised Fortune 500 Life Sciences and Retail clients on strategy, operations, and technology transformation. Facilitated 50+ workshops for organizations with 10,000+ employees.
Built a foundation at the intersection of technical and business thinking.
Mentor first-year MBA students through career exploration and internship recruiting, conducting 1:1 advising sessions, resume reviews, and mock interviews on behalf of the MIT Sloan Career Development Office.
Co-created and launched a first-of-its-kind PM Study Tour to NYC for 25 MIT Sloan students. Secured meetings at Stripe, Meta, Snap, Justworks, and EliseAI, and conducted panel interviews with 4 product leaders on PM careers and culture.
Contributed to operations and logistics for a 400-person, 2-day technology conference. Managed 3 external vendor relationships, tracked event budget, and owned end-to-end speaker experience across both conference days.
Led a 300+ member employee resource group, driving programming, community, and advocacy initiatives across the company.
Placed 2nd out of 50 teams in the Workplace AI category at Microsoft's Global Intern Hackathon, which featured 200 projects overall and 1,100+ interns. Collected user feedback, translated prioritized needs into technical specifications, and built and tested two sub-agents for an interactive coach that helps users improve prompts before sending them to an AI model.
Built and shipped a multi-agent AI system for Azure DevOps, the platform product teams use to manage roadmaps and engineering work. Implemented prompts, workflow logic, and Azure DevOps and WorkIQ integrations to flag backlog issues, enrich work items with workplace signals, synthesize status, and generate leadership briefs. Created evaluation cases, debugged failures, and ran cross-functional bug bashes before rollout.
Built two automated, source-backed briefing systems: AI Ways of Working translates public research into practical workflow upgrades for product, design, engineering, and strategy teams, while Enterprise AI Intelligence synthesizes platform news and adoption practices into an executive-ready weekly digest.
Built a working web app to streamline MIT Sloan's course bidding process — a 5-question quiz generates personalized course recommendations and a defensible 1,000-point bid allocation across 120+ courses in under 60 seconds.
Redesigned takeout fry packaging to eliminate sogginess; led user research and prototyping of a dual-layer venting system, collaborating with MIT mechanical engineers and RISD design students to optimize airflow and heat retention.
Whether you want to chat about product, a project idea, or just say hello — my inbox is open.
