aditi.
Recruiting · Senior PM & AI PM · Summer 2026

Aditi Singh, engineer, founder, product leader. Now at Darden, building what's next.

I build products at the intersection of AI, consumer behavior, and scale. 7+ years across streaming, EVs, and enterprise tech. Now at UVA Darden, recruiting for AI PM and Senior PM roles for Summer 2026.

400-day Duolingo streak
See My WorkResume (PDF) ↗
Variety & IMDb FeaturedIEEE PublishedOpenAI Forum Member (Invite-Only)Forté FellowHarvard HPAIR Gold DelegateUN MentorDarden Foundation Scholar$110K Merit Scholarship
01 / A Bit About Me

I build products by chasing the unglamorous question underneath the obvious one.

I started in silicon design at HCL, cutting IC power consumption 16% for Siemens healthcare subsystems.

Then I founded Alchemy under CellBriX: 8 SKUs, 1 patent filed, $36K government-backed, and a crash course in building zero to one.

At OLA, I launched EV charging across Bangalore and led cross-continental programs that saved $1.65B in regulatory exposure. At ZEE5, I ran a $200M+ product portfolio, shipped South Asia's first OTT aggregator and AI recommendations, and grew the platform 21% YoY across 190+ countries.

Now I'm at UVA Darden on a $110K merit scholarship, recruiting for AI PM roles where the hardest problems are also the most interesting ones.

Outside work: a 400-day Duolingo streak, five years of Bharatanatyam, and a Starbucks Master Brewer certification. Make of that what you will.

SQL /Python /Figma /Mixpanel /Power BI /Tableau /JIRA /Agile/Scrum /AI/ML /Looker Studio /A/B Testing /0→1 Launches /GTM Strategy /API Integrations /SQL /Python /Figma /Mixpanel /Power BI /Tableau /JIRA /Agile/Scrum /AI/ML /Looker Studio /A/B Testing /0→1 Launches /GTM Strategy /API Integrations /
02 / What I've Built

Ambiguous problems. Real constraints. Shipped outcomes.

010→1 · AI PM · Global

ZEE5 Add-Ons: South Asia's First OTT Aggregator

Problem

OTT fragmentation was killing subscriber retention. Users churned to competitors rather than stay inside one platform.

Role

I owned the full product lifecycle end to end, from concept through API integrations with 9 content partners.

Outcome

Highest-ever monthly subscriptions at ZEE5 Global. Featured in Variety, IMDb, and Mint.

Read coverage in Variety ↗

In hindsight ·I'd have pushed for a unified data layer earlier to reduce partner API fragmentation at scale.

02GTM · Mobility · 0→1

OLA EV Charging Network, Bangalore GTM

Problem

India's EV adoption was stalled by infrastructure anxiety. OLA had the vehicles but not the charging ecosystem.

Role

I spearheaded the India-wide go-to-market strategy for 2W EV adoption and led the Bangalore launch personally.

Outcome

EV adoption rate went from 0.16% to 1.4%. OLA Electric reached 40% market share and category leadership.

In hindsight ·Behavioral adoption was harder than infrastructure. I'd have invested in education campaigns alongside the hardware rollout.

03AI PM · Personalization · Growth

ZEE5 AI Recommendation Engine + 'For You' Page

Problem

Watch time was plateauing and churn was climbing. The discovery experience wasn't surfacing the right content to the right user.

Role

I introduced an AI-driven recommendation engine and a Gen-AI powered 'For You' page, ran A/B experiments, and personalized journeys by cohort.

Outcome

Avg. watch time up 11%. Churn reduced by 7%.

In hindsight ·The 'For You' page needed more explicit user control. Personalization without transparency erodes trust over time.

04Agentic AI · 0→1 · Consumer Intelligence

Nexus: Agentic AI News Synthesis Engine

Problem

Real-time intelligence across AI, venture, and frontier research is fragmented across dozens of sources. Analysts and strategists spend hours synthesizing signal from noise before they can act.

Role

I designed and built Nexus end to end, an agentic AI system that autonomously ingests, categorizes, and synthesizes live news across Venture & Capital, Frontier Research, and Titan Signals domains. Built with live data pipelines and an LLM synthesis layer.

Outcome

A fully operational agentic intelligence engine delivering synthesized, categorized, real-time briefings across multiple domains, on demand, continuously updated.

See it live ↗

In hindsight ·The hardest part was not the AI layer. It was deciding what not to surface. Curation logic is a product decision, not a technical one.

03 / How I Think

How I think when nobody's asked for a slide yet.

Product Strategy

Why the OTT Aggregator Was Really an API Strategy Problem

Most people saw ZEE5 Add-Ons as a content play. It was actually a bet on partnership architecture. Here is what that taught me about platform thinking.

GTM

What EV Infrastructure Taught Me About Crossing the Chasm

Charging stations are not a product. They are a behavior change campaign with hardware attached. The GTM lesson nobody talks about.

AI PM

A Product Teardown: How I Would Redesign LinkedIn's AI Job Matching for MBA Candidates

LinkedIn knows more about career transitions than almost any platform. So why does its job matching still feel like keyword search from 2012?

05 / Let's Connect

Liked what you saw? Leave your email.

I'll reach out personally. No newsletters, no spam — just a real conversation.

04 / Let's Talk

If you're building something worth shipping, let's talk.

Open to Summer 2026 Senior PM and AI PM internships. The right role wins.

aditigene@gmail.comDarden EmailUVA+1 (434) 227-0297linkedin.com/in/missaditisinghResume (PDF) ↗
OpenAI Forum MemberForté FellowUN Mentor
© 2026 Aditi Singh · UVA Darden MBA '27Built with intent. Not a template.