Senior Product Manager

Wholesale is a $50 trillion market still working the way it did in 1950. 90% of transactions happen offline, over calls, catalogues and trade shows, and a product passes through four or five layers of distributors and wholesalers before it reaches a store, with every party deciding on a fraction of the picture.

By the time it hits the shelf, it costs roughly 40% more than the maker charged.

That inefficiency tax runs into the trillions, and everyone pays it every time they buy anything.

Qogita is building the operating system that replaces that chain, which makes the product the core of what we are building.

Every job of the traditional supply chain gets done once rather than at every layer, by a self-learning system rather than by hand: a buyer who used to deal with twenty suppliers gets an instant basket assembled from every available seller, forecasting reads what is actually selling in every market as it sells, and goods move straight from seller to retailer on the cheapest and fastest route.

No part of it stands alone.

The order book, the demand planner and the logistics network are each worth more combined with the others, every layer has to be machine-readable and actionable by agents as well as people, and every transaction writes a record that sharpens the next price, allocation and route.

Deciding what to build, in what order, and which steps to skip entirely is the product problem, and it is already working: 95% of transactions involve no human touch, AI agents resolve over 90% of unique issues with zero human intervention, and the business is doubling every year.

The role

Most European wholesale still runs on PDF price lists, Whats App threads and payment terms designed to squeeze whoever has the least cash.

Nobody designed that.

It accumulated, and it's still how most of a very large industry works.

We're hiring one Senior Product Manager to own a hard part of replacing it.

You'll take a single surface end to end: what gets built, why, and whether the number moved afterwards.

There is no roadmap waiting for you and nobody is going to write your specs.

• Depending on your strengths, that surface is likely to be one of the following:
• The autonomous procurement layer: agents that watch price movements across thousands of supplier feeds, forecast demand, raise purchase orders and handle routine supplier email.

Most of the straightforward operational work is already automated.

The open question is the rest of it, and what has to be true about accuracy and auditability before software is allowed to commit company money.

• Price and supply intelligence: we can see pricing, availability and demand across this market in a way no individual participant can.

Whether that stays an internal tool or becomes something brands and large buyers pay for is genuinely undecided.

• Catalogue and trust: matching, deduplication, authenticity and supplier reliability scoring across hundreds of thousands of SKUs.

Nobody will congratulate you for it, and everything else depends on it.

• Buyer economics: financing, terms, replenishment and retention. The levers that decide whether an independent retailer is still trading in five years.

What you'll do

• Own the strategy, the specs and the outcome for your area, and be the person accountable when the metric doesn't move
• Work from what's economically and physically true: units, margins, lead times, cash cycles, failure rates. "That's how marketplaces do it" isn't an argument here.
• A lot of industry convention is old error nobody went back and re-examined
• Try to delete the thing before you build it.

Every screen, field and integration is something a person maintains for years.

• Removing ten workflows is usually worth more than shipping an eleventh
• Question whether a process should exist before you automate it, otherwise you get the same waste faster and buried in code
• Do your own analysis. The warehouse is open and you won't be queuing behind an analyst to find out whether your idea worked
• Bring the number, the sample size and the reason you might be wrong. Changing your mind publicly when the data turns against you counts in your favour here
• Go and look at the actual thing: sit with ops, listen to supplier calls, read the orders that failed. Judgement built only from dashboards decays quickly
• Work directly with engineers, designers, data scientists and the commercial teams, in the room, at pace. We ship weekly and make reversible decisions in hours
• What you'll bring
• 5+ years in product
• You've shipped things that moved a number you can name at a scale you can defend, and you can explain why it worked rather than telling the version of the story where it obviously would
• You're properly numerate and comfortable in SQL. You can put a rough figure on an outcome before you build it, and you're usually within an order of magnitude
• You understand systems and data models well enough that engineers take you seriously in your first week. You don't need to be an engineer
• You'll argue hard in the room and then commit to whatever we land on, including when we land against you
• If something's broken and nobody owns it, you own it now
• You're neither breathless nor dismissive about agents doing commercial work with limited supervision.

It isn't a feature, it's a different risk model, and we want someone with judgement about it

• 5+ years in product
• You've shipped things that moved a number you can name at a scale you can defend, and you can explain why it worked rather than telling the version of the story where it obviously would
• You're properly numerate and comfortable in SQL. You can put a rough figure on an outcome before you build it, and you're usually within an order of magnitude
• You understand systems and data models well enough that engineers take you seriously in your first week. You don't need to be an engineer
• You'll argue hard in the room and then commit to whatever we land on, including when we land against you
• If something's broken and nobody owns it, you own it now
• You're neither breathless nor dismissive about agents doing commercial work with limited supervision.

It isn't a feature, it's a different risk model, and we want someone with judgement about it

• Nice to have
• Product experience in marketplaces, e Commerce, logistics or fintech, or somewhere else with real money and real physics involved
• Depth in one of the surfaces above: autonomous procurement and agents, price and supply intelligence, catalogue and trust, or buyer economics
• It might not be for you if
• You describe your job as gathering requirements or managing stakeholders
• You need consensus before you can move
• You want a stable roadmap and clean lines of responsibility. We're a young company, we're learning as we go, and things change shape every few months
• You'd rather be right in the retro than before the build
• You want to be fully remote. This one runs on being in a room with people
• Base salary: €80,000 to €115,000 (Amsterdam) / £80,000 to £115,000 (London) depending on experience
• 26 days of annual leave, plus 4 additional personal days
• Equity & company performance-based bonus
• Pension contributions
• Annual learning & development budget
• Office-led culture with hybrid flexibility
• Dog-friendly offices
• Home-office setup package
• Office socials and annual company-wide offsite
• Base salary: €80,000 to €115,000 (Amsterdam) / £80,000 to £115,000 (London) depending on experience
• 26 days of annual leave, plus 4 additional personal days
• Equity & company performance-based bonus
• Pension contributions
• Annual learning & development budget
• Office-led culture with hybrid flexibility
• Dog-friendly offices
• Home-office setup package
• Office socials and annual company-wide offsite
• About Qogita

Qogita [Ko-gi-ta] is a fast-growing European startup building the operating system for modern wholesale. Founded in early 2021, we now operate globally.

• Offices in Amsterdam and London, where the team comes together in person
• A team of 170+ people from 66 nationalities
• Backed by Accel, Bessemer Venture Partners, Dawn Capital and Local Global
• #J-18808-Ljbffr