Hi, I'm Parisa.

A product-minded builder turning ambiguity into systems, decisions, and outcomes.

I'm a product-minded builder with experience across banking, ad-tech, marketplaces, retail operations, and research. I'm strongest in ambiguous environments where teams need structure, data, and clear product thinking to move from problem to outcome.

Portrait of Parisa Sharifpour
Portrait
Focused work — view of the CN Tower from a downtown Toronto office
Focus — Toronto office

From engineering, to business, to product.

I started with engineering and problem-solving, then moved into business, marketing, product, and analytics. Over the years I've worked across ad-tech, marketplaces, retail operations, and banking — and across every chapter, the work has been the same: identify the real problem, frame it, decide, build, and measure.

My research strengthened my understanding of user behavior, trust, personalization, and decision-making. I now bring all of this together as a product manager — working at the intersection of data, experimentation, and product intuition.

Career journey

A decade across engineering, marketing, analytics, and product.

  1. 2014–2018
    Sharif University of Technology
    BSc Civil Engineering

    Where the problem-solving instinct was built.

  2. 2018
    Isfahan Municipality
    Assistant Project Manager

    First taste of coordinating complex projects on the ground.

  3. 2019–2022
    Yektanet
    Associate PM → Product Manager

    3 years at Iran's largest ad network — CRM, UX, retargeting algorithms, and a 0→1 e-commerce product.

  4. 2019–2022
    Sharif University of Technology
    MBA, Marketing

    Research on personalized advertising and purchase behavior — completed alongside Yektanet.

  5. 2022
    Takhfifan
    Product Manager

    Brief PM role at a leading Iranian deals platform.

  6. 2022–2023
    SnappCarFix
    Sr. Business & Marketing Analyst

    Growth lead at an automotive marketplace inside Iran's largest ride-hailing app.

  7. 2023–2024
    Queen's University
    MSc, Management Information Systems

    Thesis on AI chatbot behavior — personalization, trust, and purchase intention.

  8. 2024–2025
    Canadian Tire
    Business Analyst, Supply Chain

    Self-initiated ML model at Canada's largest distribution centre, presented to AVP.

  9. 2025–Present
    TD Bank
    Senior Business Information Management Analyst

    Building the operating system for an AI-enabled authentication analytics team.

Six habits that show up in every project.

01

I structure ambiguity

Make the unclear visible and workable.

02

I listen for signals

Across users, data, ops, and stakeholder talk.

03

I use data to clarify decisions

Not to decorate slides.

04

I align people around the problem

Not just the proposed solution.

05

I build systems that make work easier

Operating rhythms, intake, docs, dashboards.

06

I care about trust, clarity, and adoption

Anything we ship has to be used.

Six principles behind the work.

Principle 01

Start with the real problem, not the requested solution

Stakeholders rarely arrive with the problem — they arrive with a proposed fix. My first job is to dig until the underlying user, business, or operational need is clearly stated.

Principle 02

Make ambiguity visible before trying to solve it

Unclear scope, unknown assumptions, and unaligned definitions are the quiet causes of bad outcomes. I name them out loud, write them down, and turn them into decisions the team can actually make.

Principle 03

Use data as a decision tool, not decoration

Dashboards are not the product. I instrument the questions we actually need answered, push back on vanity metrics, and design measurement to change behavior.

Principle 04

Build systems that help teams move

A good Jira board, a clear intake, a tight weekly rhythm — these are product surfaces too. When the operating system around the work improves, everything downstream gets faster and calmer.

Principle 05

Design for trust, clarity, and adoption

Anything we ship — a feature, a dashboard, a process — only counts if people actually use it and trust the output. I design for the human at the other end, not for the demo.

Principle 06

Treat learning as part of the product, not something after the product

Measurement, retros, and post-launch instrumentation are part of the build, not an afterthought. Without them, every release is a guess we can't improve on.

The kind of work that excites me.

  • Digital products that solve real customer problems
  • Product roles involving data, users, and business strategy
  • Cross-functional environments
  • Ambiguous problems that need structure
  • Products where trust, adoption, and user behavior matter

Curious, learning, connecting.

Outside work, I'm usually exploring ideas through books, podcasts, conversations, and community events. I enjoy learning about product, psychology, relationships, culture, and how people make decisions. I also like connecting with people who are building thoughtful products or navigating career transitions.