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Ece Pakdogan

AI product management · London

Product manager for AI and complex client work.

I work from interviews to requirements, agent rules, rollout and client adoption.

See how I workDownload résumé
Ece Pakdogan

Ece Pakdogan

London

Evidence

Discovery

Ravon Group

Thirty conversations. I ran them, wrote them up, and turned them into a ranked list that sales and engineering both actually used.

See the work
01The shape of the role

What kind of product manager I am.

Four things I do across every product I have worked on, and where each one came from.

  • Customer & discovery

    Around 30 discovery conversations across six sectors, turned into ranked requirements, use cases and briefs the team used.

    Ravon Group

  • Product & delivery

    Prioritised three product areas from the evidence, defined journeys for six user groups and scoped a first release.

    Ravon and Inceo

  • Data & outcomes

    Defined five portfolio KPIs and ten automated risk triggers, and tracked client retention against contact rhythm.

    Inceo Group

  • Technical collaboration

    Structured 17 data domains and specified citations, role based access, audit trails and human approval controls.

    Inceo and Ravon

02Selected work

Three products, and the decisions behind them.

Each one shows what I found out, what I decided, and what actually changed. Including the parts I would do differently.

03Posts & content

Things I made to tell the story.

Product videos, reels and ads for the products I worked on. The same thinking as the roadmap, aimed at the customer.

Ravon Sage · Product videoRavon Sage · Context featureProduct walkthrough showing how Ravon Sage carries a case file's context into every answer and draft.

Ravon Sage

Channel strategy and launch content for a private AI platform, in English and Turkish.

  • Reel

    Agent teams

  • Instagram strategy for Ravon Sage, first pageRead PDF ↗

    Strategy · PDF

    Instagram strategy for Ravon Sage

  • Reel

    Data sovereignty

  • Ravon Sage story: AI for law, your data stays with you

    Story

    AI for law. Your data stays with you.

  • Reel

    Petition drafting

  • Ravon Sage desktop mockup: all your legal work in one place

    Post

    All your legal work, in one place

  • Reel

    Case tracking

  • Reel

    Ask a legal question

  • Reel

    Deadline calendar

  • Reel

    Draft ready for review

Inceo Asset Management

Ads and reels for overseas owners of UK property.

  • Inceo ad: every view we give you has a name against it

    Ad

    Every view has a name against it

  • Inceo reel: 3 mistakes overseas owners make

    Reel

    3 mistakes overseas owners make

  • Inceo ad: one portfolio, one screen

    Ad

    One portfolio. One screen.

  • Inceo reel: a date is coming that nobody will remind you about

    Reel

    A date nobody will remind you about

  • Inceo reel: one line from your property report, three questions it does not answer

    Reel

    One line from your property report

04Method

Here is how I actually work.

The same five steps every time, whether the product is an asset management platform or a client pipeline.

  1. 01

    Gather

    Talk to the people who actually hold the information, not whoever answers fastest.

  2. 02

    Prioritise

    Weigh it against the roadmap and what the team can genuinely take on. A priority matrix settles it.

  3. 03

    Research

    Do the research myself. Hand my agents everything that does not need a human.

  4. 04

    Track

    One project per task, CRM and tools synced. I know something is late before anyone asks.

  5. 05

    Organise

    Measure what is needed, show up to the meetings, keep the company in order.

05Experience

Three years across product, commercial and AI work.

  1. Business Development AssociateInceo GroupLondon, UK

    October 2025 to September 2026Current

    • Mapped six user groups and their highest value journeys across onboarding, portfolio monitoring, reporting, risk alerts and investor decisions, giving the delivery team a clear scope for the first product experience.
    • Structured 17 data domains, five portfolio KPIs and 10 automated alert categories into an operating model that connected fragmented property and client information to practical user decisions.
    • Managed the client cycle from initial enquiry and needs discovery through proposals, regular updates and follow up, maintaining accurate CRM records and contributing to 90 percent customer retention.
    • Created a marine finance prospecting model that identified 35 prospects, contributed to six conversions and surfaced a EUR 20 million opportunity through referral and introducer relationships.

  2. Product and Business Development CoordinatorRavon GroupLondon, UK

    January 2025 to October 2025Bespoke digital and AI enabled business systems

    • Led around 30 discovery conversations across six sectors and converted recurring problems into ranked requirements, use cases and commercial briefs used by sales and technical teams.
    • Used discovery evidence to define regulated organisations with 20 to 500 employees as the priority customer profile, improving qualification and focusing product decisions on higher fit opportunities.
    • Prioritised enterprise knowledge chat, document generation and human supervised agents as the three core product areas, moving roadmap discussions from generic AI features to repeatable customer problems.
    • Specified citations, role based access, audit trails and human approval controls in response to buyer concerns about accuracy, security and accountability, strengthening readiness for regulated users.
    • Designed a four stage product to sales journey with reusable CRM, proposal and content workflows, giving the team a consistent path from discovery to proposal and follow up after handover.

  3. Marketing SpecialistDigipac ConsultancyLondon, UK

    January 2024 to October 2024

    • Used campaign performance, audience behaviour and competitor evidence to refine client messaging, event materials and subsequent campaign recommendations.

  4. Community VolunteerCancer Research UKCity of London, UK

    March 2024 to April 2024

    • Coordinated participant facing activity and volunteer support to maintain an organised and welcoming community experience.

  5. Junior AssistantDynamic HR ConsultancyDubai, UAE

    November 2022 to January 2023

    • Maintained the recruitment workflow across candidate sourcing, screening, interview scheduling and status communication for hiring managers.

  6. Sales InternErikoglu Industry HoldingTurkey

    July 2022 to August 2022

    • Supported overseas customer meetings and follow up while maintaining accurate sales, export and transaction records for the Foreign Trade Department.
Full experienceDownload CV
06Capabilities

What I can do.

Product discovery

  • Customer interviews
  • Problem definition
  • User journeys
  • Requirements
  • Feedback synthesis

Strategy & prioritisation

  • Product strategy
  • Roadmap prioritisation
  • Ideal customer profile
  • Priority matrix
  • Success metrics

Delivery

  • Scope definition
  • Cross functional delivery
  • Stakeholder management
  • Workflow design
  • Agile delivery

Data & measurement

  • KPI definition
  • Product analytics
  • Alert and risk logic
  • Retention analysis
  • Experiment design

Communication

  • Product documentation
  • Commercial briefs
  • Decision rationale
  • Proposals
  • Client communication
07Tools & technical fluency

What I work in.

And the technical ground I can hold a real conversation on with an engineer.

Product & delivery

  • Jira
  • Confluence
  • Notion

Design & discovery

  • Figma
  • Miro

AI

  • Claude
  • ChatGPT
  • AI agents

Customer & CRM

  • CRM and pipeline management

Intermediate level usage across these.

Technical ground

  • Access control and audit

    Specified role based access, audit trails and human approval for regulated users.

  • Citations and source traceability

    Turned accuracy concerns into a requirement that answers point back to source documents.

08 · Me & AI

Where AI saves time in my workflow.

It helps me sort evidence, prepare decisions and keep client relationships moving. I check the sources, and approval stays with a person.

  • From · Interviews and notes

    Discovery synthesis

    Cluster recurring needs, compare the contradictions, and go back to the source before I define the problem.

    To · Evidence based PRD

  • From · Research and data

    Decision preparation

    Pull out what actually changed, connect it to the right user or asset, and draft a short decision brief.

    To · Reviewed recommendation

  • From · CRM activity

    Client continuity

    Spot the follow up nobody sent, prepare the next action, and leave the relationship owner in control of it.

    To · Consistent client cycle

Continued

AI accelerates my work. It does not make my decisions.

I use agents for the work that does not need me, and I sync my CRM and tools so tracking runs itself. What that buys is time for the part that does not delegate: deciding what matters, and being accountable for it.

AI accelerates my work. It does not make my decisions.

  • AIOrganising research

    MeChoosing the right problem

  • AIClustering feedback

    MeInterpreting what a customer means

  • AIProducing early options

    MePrioritising the tradeoff

  • AIDrafting documentation

    MeAligning the stakeholders

  • AIChasing follow ups

    MeOwning the client relationship

  • AITracking the work

    MeFinal judgement and accountability

09About me

I learned product from the commercial side.

My background crosses product discovery, business development, client relationships and marketing. That mix is the point, not an accident. I have run the first discovery call and the renewal call for the same customer, and that changes what you choose to build.

Working across London, Turkey and the UAE taught me that people do not communicate, decide or trust the same way everywhere. A requirement gathered in one market rarely survives intact in another. Noticing that early saves a lot of rework later.

How I work

  • Clarity

    I make messy things obvious.

    Seventeen scattered data domains are not a product. Someone has to decide what belongs together, what gets measured, and what a person sees first. That is the job.

  • Ownership

    I stay after launch.

    I have run the first sales call and the renewal call for the same client. Once you have done that, adoption stops being somebody else's problem.

  • Curiosity

    I ask what people are trying to do, not which button they want.

    The feature request is almost never the real problem. Thirty conversations across six sectors taught me to listen for the thing underneath it.

Ece Pakdogan
Ece Pakdogan · London

Outside product

Turkish by birth, London by choice, with stops in Izmir, Dubai and Toronto along the way. I mentor students at my old university, and I read far more market analysis at weekends than is strictly reasonable.

10Contact

Let’s talk.

I am looking for Product Manager roles where I can work close to customers, alongside design and engineering, on problems that genuinely matter to the business.

What I am looking for

  • Product Manager or Senior Product Manager roles
  • London, or remote across the UK
  • AI, fintech, proptech or regulated industries

Get in touch

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