George Jurgens
GROWTH PRODUCT & MARKETING LEADER

George Jurgens

Growth leader who turns customer friction, product behaviour and commercial signals into repeatable growth systems.

Zurich, Switzerland · Product-led growth in sales-led SaaS · AI-assisted execution

$250k+
yearly expansion ARR from an in-product licence-overage programme, after a pilot that made ~$50k in 25 days and later grew 100% year over year
~$500k
recovered in overdue invoices during a low-code collections workflow pilot, saving ~15.5 FTE days a month
>$1M
in commercial expansion opportunities identified through customer behaviour, licensing and usage analysis
25%
drop in login-related support tickets after fixing authentication friction
42%
self-reporting rate on a consent-based persona-capture flow that closed a GDPR-limited contact gap
7%
adoption uplift at 100% statistical confidence from an in-product nudge experiment

How I work

Find the hidden opportunity
Reads customer usage, licensing and behavioural data for signals nobody else is watching yet, then turns what's hidden into a quantified initiative rather than a hunch. This is the pattern behind more than $1M in commercial expansion identified inside one B2B SaaS business alone.
Prototype with what's already there
Reaches for Pendo, Zapier, APIs and AI tools like Codex before asking for a slot on the engineering roadmap, so an idea gets tested in days rather than months. The icon generator rebuild and the licence-overage Google Chat app were both shipped solo this way.
Build for self-serve, not for a slide
Ships in-product experiences that keep working without a human in the loop: licence-overage flows, collections workflows, persona capture, demand-generation patterns that route intent to the right team automatically.
Bridge product and commercial
Operates across Product, Engineering, Product Marketing, Growth, RevOps and Customer Success, moving from strategy to execution without needing to be a software engineer to build something that works.

Selected work

A few of the growth systems built along the way, grouped by what they were for. Click into any of them for the full story.

Demand Capture & GTM Enablement
B2B SaaS, across an acquisition

Building the demand-capture engine, not just the campaigns

Outcome: a repeatable demand-capture system that routed customer intent to the right team automatically, and the highest quarterly volume of Upsell Handraisers on record

Rather than running one-off campaigns, built a repeatable operating model for product-led growth inside a sales-led organisation: capture signal, route signal, enable action, measure outcome. Tested the mechanics with in-product nudges, tooltips, banners and in-app messages surfacing new features and upsell moments at the right time to the right users, then built the automated routing that turned a raised hand into a ticket for the right Account Manager, CSM or Support owner, with no manual triage. Once it worked, trained GTM, Product, Engineering, CSMs and AMs across the organisation to run and extend it themselves, through a reusable Pendo guide template library, shared documentation, and a Growth RACI model that gave Product and GTM clear, non-overlapping ownership.

Growth & Monetisation
B2B SaaS, sales-led

Turning an awkward conversation into revenue

Outcome: $250k+ in yearly expansion ARR

Customers routinely exceeded their licence count, and the standard motion was an account manager chasing an overdue payment, an awkward conversation nobody enjoyed. Reframed it as a problem the customer could resolve themselves, in-product, at the moment of overage. The pilot made ~$50k ARR in 25 days, then grew 100% year over year, and the time from a flagged overage to new licences purchased dropped to often under 24 hours.

B2B SaaS, sales-led

The collections workflow nobody wanted to own

Outcome: ~$500k recovered in the pilot, ~15.5 FTE days a month saved

Overdue invoices were a manual, low-priority chase. Tested the approach in Postman first, then built the live workflow in Zapier once the API pattern was proven, later evolving the same approach into a Google Chat app used for a different workflow entirely.

B2B SaaS, sales-led

Retiring a legacy plan without losing the customers on it

Outcome: ~1,600 legacy tenants decommissioned on a phased timeline, with flagged accounts converted to paid rather than lost

A long tail of legacy free-plan tenants carried operational risk and technical debt, and no longer fitted the go-to-market strategy. Owned the sunset end to end: a 60-day notice period served in-product through Pendo banners to around 580 in-app users, and by automated HubSpot sequences to roughly 2,000 email accounts, phased against a hard sunset date and a final data purge 30 days later. Inactive accounts were soft-blocked ahead of the rest.

The part that mattered commercially was the retention path. Of the ~1,600 tenants, around 120 had recent activity and 17 were daily active, and the comms flow routed those to a commercial sponsor on the sales side instead of quietly switching them off. Sales, Customer Success, Support and the partner team were each briefed for the specific inbound they would get, down to distinguishing genuine concern from users who had created a free account by accident while trying to log in.

B2B SaaS, sales-led

Testing what actually drives an upgrade

Outcome: 146% more forms created on the unlimited trial, and a modelled $345k expansion opportunity

A free tier almost nobody upgraded from: 12 upgrade requests in 18 months, while most customers used it regularly. So the packaging question went to an experiment. 405 customers got full access to the paid tier, split two ways: a 30-day trial that expires, against one they could keep indefinitely.

The 30-day group was quicker to create a first form. The unlimited group created 146% more of them, and kept going. Urgency won the first action. Removing the deadline won the habit.

Two decisions followed: a licence price adjustment, modelled at a $345k expansion opportunity, and a reframe of forms usage as a retention lever, once the data showed customers on comms alone churned far more.

Owned the wind-down a year later too: countdown messaging in-product, and a usage-based cut of the tenant base so account managers could work the heaviest users first.

Data & Segmentation
B2B SaaS, sales-led

Closing a blind spot GDPR made worse

Outcome: 42% self-reporting rate, and a one-off survey turned into reusable live segmentation infrastructure

CRM contacts skewed heavily toward original buyers. For HR users specifically, only around 40% had a usable email address, and the rest weren't reachable through direct outreach because of GDPR constraints. Built a consent-based, self-serve persona-capture flow in Pendo, wired into Planhat and the CRM through Zapier and API automation, so admin-level users could identify their own department on first use instead of relying on acquired contact data.

B2B SaaS, sales-led

Making upsell opportunity self-serve

Outcome: ~$53k in incremental ARR opportunity flagged in a single review cycle

Add-on licences and core licences drifted apart quietly. A customer could be badly under-licensed on an add-on relative to how many people they had on the platform, and nobody would notice without manual review. Built a Looker Studio dashboard sourced from Salesforce comparing total licences sold against add-on licences sold per tenant, so account managers and CSMs could spot the gap themselves rather than waiting to be told.

One review cycle flagged around $53k in incremental ARR opportunity across four add-ons. Refined with sales, CS leadership and RevOps over subsequent weeks to correct edge cases, such as global admin licences being miscounted as under-sold. This dashboard is one of the mechanisms behind the wider expansion opportunity identified across the business.

AI-Assisted Execution
B2B SaaS, post-acquisition

Rebuilding a fragile workaround with AI, in days

Outcome: a manual workaround replaced with a tool CSMs and AMs run themselves

A fragile Zapier automation quietly handled every licence-overage exception, and it was getting harder to maintain. Rebuilt it using Codex, talking directly to the underlying APIs: CSMs and AMs can now pause or resume a customer's overage banner themselves through a single Google Chat command, with automatic 30-day re-activation if the account is still over threshold. The build itself took days; the real bottleneck was Google Cloud and Workspace access and governance approval, which took weeks longer than the build.

B2B SaaS, rebuilt post-acquisition

Turning a bug report into validated demand

Outcome: 28K views and 3,728 first-time users, rebuilt solo in a day, and a bug report that turned into validated enterprise demand

Built and scaled an internal icon library tool inside Pendo that reached 28,000 total views and 3,728 first-time users, with strong repeat engagement. Rebuilt it from scratch in a single day using Codex: drag-and-drop upload, search and filters, colour customisation and instant download, embedded in-product through a Pendo guide, shipped solo with no engineers involved. When a customer reported a bug in it, the response wasn't just "fix it and move on": customers asked for custom icon library upload and brand-colour-restricted palettes instead, Customer Success flagged the demand within days of the feature being disabled, and a subset of customers chose to keep it re-enabled despite the known bug because the value outweighed the inconvenience.

The rebuilt icon library: a search field, a row of colour swatches, category filters such as Documents, People and Places, and a grid of selectable icons.
Search, category filters, colour customisation and drag-to-upload, rebuilt solo in a day and embedded in-product.
Acquisition & Platform Relations
Consumer subscription app

Becoming Apple's own example of a well-built listing

61%
YTD subscriber growth
55%
reduction in CPI
130%
increase in long-term subscription takeup
Outcome: global App Store placements and features, with subscriber growth outpacing falling acquisition costs

As the lead relationship owner across Apple, Google, Amazon, Roku, Samsung and LG, secured App of the Day placements in key Tier 1 countries and launched a kids' coding app that Apple featured regularly across the entire App Store ecosystem globally, later used internally at Apple as an example of a well-constructed listing. Owned a marketing budget of up to £1.2m a year across paid and non-paid channels, and built the reporting infrastructure behind it.

Consumer fintech

Fixing a referral programme built to be gamed

Outcome: a referral channel worth trusting, not just measuring

An existing peer-to-peer referral programme had no real way to validate a referral, which left it open to abuse. Brought in third-party fraud-prevention tooling to properly track and validate referrals, then launched a wider Refer-a-Friend programme and a scaled influencer strategy on top of a channel worth trusting. The targeting itself had its own constraint: the business monetised by selling aggregated, anonymised spending data to hedge funds and businesses for market analysis, so acquisition needed statistically representative coverage across UK regions, not just the easiest audiences to reach.

Personal projects

Prototype

Tapkit

An iPhone app that lets a complete novice, a cafe owner, a hairdresser, an Airbnb host, set up NFC stickers that open a review page, a menu, a phone number or WhatsApp in under a minute, using ready-made recipes.

A solo, evenings-and-weekends project since August 2026. George is the product owner, designer and decision-maker; AI coding agents write the code. The more interesting build is the system around directing them: a living source-of-truth document so new AI sessions share the same context, decisions logged as short PRDs, specialised AI reviewer agents, automated guardrails against known repeat mistakes, and a cost and time tool for deciding when handing something to AI is actually worth it.

9
working recipes
138
commits
30+
reviewed pull requests
~8,000
lines of Swift
Not public. A hobby to learn working with AI to code and build a 'company brain'.
Tapkit recipe picker screen, showing ready-made NFC sticker recipes like Get Google Reviews, Share My WiFi and Open My Menu

How people describe working with me

Writing your own strengths section is a reliable way to produce fiction, so I didn’t write this one. Four years of manager reviews, peer kudos and anniversary posts went into an LLM with one instruction: find what people actually repeat, and drop anything that only got said once. These six came back.

Figures out the how
The person people bring the vague stuff to. Officially the organisation's Pendo expert. Unofficially, the one who works out whether the thing can be built at all.
Bias to action
Ships the small, well-aimed change instead of talking through the big one. Colleagues kept naming this independently. He calls them sidequests.
Picks up new tools and ships with them
Picks up a new tool and there is something live running on it that week. AI tooling, custom code, automation platforms: they end up in the product, not in a sandbox.
Consults, rather than just executes
Asked for a banner. Came back with targeting advice, a messaging rewrite, and a working form embedded in it. The follow-through comes up a lot, usually alongside whatever time zone he answered from.
Leaves it documented
Builds it, then writes down how it works so nobody has to ask him twice. Template libraries, documentation, a RACI that gave Product and GTM clean edges. The work keeps running after he stops touching it.
Shares the credit
Names the people who helped, by name, in public. Consistently enough that it turned up in the feedback as a theme of its own.

Recognition

What managers and colleagues have said about the work. Everyone is by role rather than by name: they wrote these for a colleague, not for a website.

A co-founder and Chief Innovation Officer called him an innovation machine: versatile, fast to master new tools, and inclined to solve problems in ways that got other people doing the same.

A Head of Product Experience and Growth described the work as often behind the scenes but high impact, singling out the in-product licensing and invoice flows for their direct effect on revenue.

Experience

Jan 2026 – Aug 2026
Senior Product Growth Manager, Product Experience
LumApps · Zurich
Applied AI across the product lifecycle for a wider post-acquisition product organisation, rebuilding internal automation and in-product tooling using Codex.
Oct 2021 – Dec 2025
Senior Growth Manager, Product Engine
Beekeeper by LumApps · Zurich
Built product-led growth motions inside a sales-led SaaS organisation: in-product monetisation, automated revenue recovery, customer segmentation infrastructure, and reusable demand-generation patterns across trials, upgrades and advocacy.
Picked as 1 of 10 people company-wide for the internal “Unleash Your Potential” programme, 2023/2024 cohort.
Title progression: Senior Growth Marketing, Innovation Engine → Senior Growth Marketing, Product Engine → Senior Growth Manager, Product Engine
May 2020 – Oct 2021
Senior Growth Product & Marketing Manager
Money Dashboard, acquired by ClearScore · London
Operated across Product, Product Marketing and UX, reporting directly to the CEO and partnering with the CPO on product strategy. Led a four-person team spanning Support, Marketing and UX, and ran paid acquisition across search, app stores, display and social.
Jan 2015 – Mar 2019
Head of Growth
Hopster · London
Grew from User Acquisition Manager into Head of Growth over four years, leading a team of up to five and owning a marketing budget of up to £1.2m a year across a kids' subscription app on iOS, tvOS, Google Play and smart TVs. Managed partner relationships with Apple, Amazon, Google, Roku, Samsung and LG.
Progression: User Acquisition Manager → Growth and User Acquisition Lead → Senior Growth Manager → Head of Growth
2012 – 2020
Earlier: Vinehealth, Hatchlings, Getaround
Growth Marketing Manager for a cancer-care app (Vinehealth, acquired by Sciensus); Performance Marketing Consultant for a games studio (Hatchlings); and User Acquisition Manager for an early-stage car-sharing startup (Getaround).

Skills & tools

Core capabilities
Growth product strategy
Product-led growth
Commercial opportunity discovery
SaaS monetisation & expansion
Experimentation
Product analytics
In-product engagement
Go-to-market strategy
Revenue operations
Workflow automation
AI, API & low-code prototyping
Tools
Pendo
Zapier
Planhat
JavaScript
HTML/CSS
Postman
HubSpot
Looker Studio
Mixpanel
Salesforce
Codex / ChatGPT
Claude Code