Director of Product Management

I run product strategy.
Then I build the proof.

Engineer who learned to ship → program leader who learned to decide → product director who never stopped building.

Nishant Malik — Director of Product Management
17
Years in tech
15
Engineering teams led
5
Products built hands-on
3
Vendors retired in-house
Career — most recent first

Six companies on paper.
Three acts in practice.

The story reads bottom-up: engineerdelivery & product ownerproduct leader. And inside the long tenures, the promotions tell their own story — three roles at ApplyBoard, two at EXL.

ApplyBoard

2020 – Present · 5+ yrs · Kitchener, Canada3 roles · promoted twice
2024 – Present

Director of Product Management ↑ scope expansion

Own product vision, growth strategy, and platform roadmaps for a hybrid B2B/B2C marketplace — leading product across Product, Design, and Data, and directing capital allocation against business outcomes. Personally prototyped the in-house AI capability: document fraud detection, interview practice, job-market insights — three vendors retired. Built the enterprise intelligence engine leadership queries in plain English. Designed the revenue-recovery framework that hit 22% conversion on recovered leads in 8 weeks.

2021 – 2024

Director, Program Management (Product) ↑ promoted

Set product OKRs with executive leadership and ran delivery across 15 engineering teams — quarterly operational reviews, funding trade-offs, engineering capacity pointed at growth. Shipped the company's first mobile app on a continuous daily release model. The outcome: ApplyBoard's record year for application volume, CSAT up, zero-downtime peak seasons — and a year reporting directly to a co-founder.

2020 – 2021

Program Manager, Cloud Services

Joined during hypergrowth when releases were ad hoc and manual. Built the AWS foundation, CI/CD pipelines, and release train end to end; onboarded 15 engineering teams; ran the cloud security programs that shut down bot and data-scraping attacks. Promoted to Director within 13 months.

Capgemini

2018 – 2020 · 2.5 yrs · Toronto, Canada
2018 – 2020

Senior Consultant (Product Owner)

Embedded in a Tier-1 Canadian financial institution: led the product rollout of an enterprise-wide multi-factor authentication program and modernized member statements and tax reporting into automated, audit-compliant delivery. Zero direct reports — influence-only leadership with enterprise-wide adoption.

EXL

2015 – 2018 · 3 yrs · Noida, India2 roles · promoted
2017 – 2018

Program Manager — Product Owner, LifePRO ↑ promoted

Product ownership of a core insurance policy administration platform for CNO Financial Group. Took enhancement requirements directly from client executives, converted them into prioritized roadmaps, and directed a 24-person cross-functional org (5 direct, 19 indirect) on a bi-weekly release train. Built the feature-adoption dashboards that steered roadmap investment.

2015 – 2017

Project Manager

Client platform integrations end to end — scope, schedule, and the bridge between business stakeholders and engineering. Introduced structured sprint delivery into rigid waterfall handoffs.

CSC

2014 – 2015 · 1.5 yrs · Noida, India
2014 – 2015

System Programmer Analyst

The bridge years: technical translator between business and engineering on the Wealth Management Accelerator platform. Designed feature expansions that let insurance clients launch new product lines; introduced agile cadences into waterfall delivery.

CGI

2012 – 2014 · 1.5 yrs · Bangalore, India
2012 – 2014

Software Engineer

High-availability financial transaction systems. Redesigned legacy mainframe modules to cut production defects and hold up under peak processing windows — performance engineering before it was a job title.

Infosys

2009 – 2012 · 3 yrs · Bangalore, India
2009 – 2012

Systems Engineer

Where it started: high-volume mainframe systems (COBOL/JCL) for enterprise financial clients. Client-facing from year one — gathering requirements, shipping production code, owning the fix when batch jobs broke at 2 a.m.

Built for and with: CNO Financial Group · a Tier-1 Canadian financial institution · enterprise financial-services clients across two countries

Current work

The product seat, held like a builder.

Strategy

Portfolio & capital allocation

ApplyBoard · 2024 – present

Own product vision and growth strategy for a hybrid B2B/B2C marketplace serving students and recruitment partners worldwide. Set OKRs with executive leadership; direct investment against business outcomes, not feature counts.

Revenue recovery: when international policy shifts hit application volume, designed the automated framework that re-matches dropped applicants to alternative programs — 22% conversion on recovered leads within 8 weeks.

Built in-house

The AI capability, prototype-first

Personally prototyped, then productionized by engineering

Document integrity screening — automated fraud detection on student documents. Interview practice tooling — replaced an external vendor. Job-market insights — live salary and demand data by program. Together: three vendors and their licensing fees retired.

Enterprise intelligence engine — warehouse, code repos, tickets, docs, and partner feedback in one system that leadership queries in plain English. Analysis cycles went from days to minutes; processing automation cut turnaround 40%+.

Leadership

Coaching the product function

PMs, OKRs, and the frontline

Lead and coach product managers on portfolio strategy, prioritization, and resourcing. I still run exit interviews with churned partners myself — frontline market reality goes straight into executive planning, unfiltered.

Ventures — built end to end, outside the day job

Nights-and-weekends proof
that the builder never left.

Everything here I designed, engineered, shipped, and support myself — the product manager, the engineer, and the support desk are all the same person.

Live product

SuperFile

AI bookkeeping for CA firms: approved financial entries post straight into Tally or Busy through a small local agent — no APIs to buy, no network exposure, no change to how staff work. Cloud pipeline, Windows agent, onboarding flow: all mine.

Visit SuperFile ↗
Studio

NDNA Innovations

The umbrella for my independent building — automation products for operations-heavy small businesses, built with the same prototype-first practice I use in product leadership: working software before roadmap commitments.

Where the next builds ship from
Why employers should care

Skin in the game

I've personally felt hosting bills, onboarding drop-off, and 11 p.m. support tickets. That's why my build-vs-buy calls with employer capital are conservative where it counts and aggressive where it pays — I've been on both sides of the invoice.

Better judgment, rented daily by my employer
Skills — with receipts

Every skill, paired with proof.

A skill without evidence is a keyword. Here's what each one has actually produced.

Product Leadership
Product strategy & OKRs
Set with executive leadership and a co-founder — the operating plan behind ApplyBoard's record application year
Build-vs-buy & vendor strategy
Prototyped in-house alternatives that retired 3 vendor products and their recurring licensing fees
Growth & funnel optimization
Revenue-recovery framework: 22% conversion on recovered leads within 8 weeks of launch
Coaching product managers
Built and led the PM team; coach PMs on portfolio strategy, prioritization, and resourcing today
Execution at Scale
Program management
Delivery across 15 engineering teams — quarterly operating reviews, funding trade-offs, capacity planning
Release engineering & governance
Took releases from ad hoc and manual to a continuous daily model with zero-downtime peak seasons
Regulated environments
Enterprise MFA rollout and audit-compliant financial reporting inside a Tier-1 financial institution
Leading cross-functional orgs
Directed a 24-person org (5 direct, 19 indirect) on a bi-weekly release train at EXL
Hands-On Stack
SQL & the data warehouse
I query it myself — analysis cycles compressed from days to minutes via the intelligence engine I built
Python & LLM APIs
5 shipped products started as prototypes I wrote personally — fraud detection to SuperFile
AWS & cloud infrastructure
Built the platform foundation — CI/CD, release train, security controls — that 15 teams shipped on
Mainframe roots (COBOL/JCL)
Six years of high-availability financial systems — the origin of the build-it-myself instinct
AI Practice
Agentic building daily
Claude Code, Cursor, Codex — a working prototype in an afternoon instead of a sprint
Retrieval & knowledge systems
Enterprise intelligence engine: warehouse + repos + tickets + docs, queryable in plain English
AI product strategy
Three AI products from prototype to production; Azure Data Scientist Associate certified
About me — the parts that aren't on LinkedIn

How I actually operate.

At work, I'm best at…

closing the gap between deciding and building. I set OKRs with executives, then prototype the risky ideas myself before committing engineering capacity. A slide argues; a prototype demonstrates. Arguments end faster when the working thing is on the table.

I want to work with companies that…

treat operations as the product — marketplaces, fintech, healthcare, logistics. Places where a 20% workflow improvement is worth millions, and where a product leader who reads the data and builds the fix is a weapon, not a luxury.

My operating system

Prototype to de-risk — working software before roadmap capacity. Own end to end — infrastructure to funnel, the stack is one system. Decide sooner — decision latency is the slowest part of shipping; I bring the thing itself and ask for the decision in the room.

The unexpected part

I went from writing COBOL for mainframes to shipping AI products — without ever leaving the building. Seventeen years across two countries, six companies, and every layer of the stack, and the constant has been the same: I'd rather show you than tell you.