AI-First Marketing Lead, refive
Customer insights and retention for brick-and-mortar retailers
Job no longer available
Customer insights and retention for brick-and-mortar retailers
1-20 employees
Job no longer available
1-20 employees
Company mission
To help retailers increase retention by enabling them to understand and engage their in-store customers in a personalised way.
Role
Who you are
- 6-8 years of B2B SaaS or tech marketing experience, with real ownership - not just execution support
- You have run campaigns end to end and have results to show
- Fluent, flawless native spokend and written english
- Agentic automation fluency. You have built or designed workflows using tools like Claude Code, n8n, Make, Zapier, or similar. You are comfortable prompting LLMs for structured outputs and wiring them into repeatable pipelines. This is not a nice-to-have it is how this role operates day to day
- Strategic range with execution instinct. You can write a marketing plan in the morning and review a CTA in the afternoon. You know when to go deep and when to move on
- Content quality instinct. You can tell the difference between AI-generated content that performs and content that just sounds like it was AI-generated. You write well yourself - sharp, no fluff, B2B-appropriate
- Modern mindset, not stuck in old-school playbooks. Curious about what new tools can do, comfortable with ambiguity, willing to try things that have no case study yet - but experienced enough to know what good looks like and push back when a shortcut will cost you later
- HubSpot and GA4 proficiency. You track what matters and use data to change direction, not validate decisions already made
- Retail or martech experience is a genuine plus — if you understand how brick-and-mortar retailers think about footfall, loyalty, and first-party data, you will ramp faster and produce better work
- One or more European language skills are a significant bonus given our primary market. But not a must have
What the job involves
- This is a Head of Marketing operating model inside a lean-team structure
- You own the entire marketing function: strategy, content, SEO, events, partner co-marketing, and brand, and you run most of it through AI-powered workflows and agentic automation rather than headcount
- The bar is high: you need to zoom from annual content strategy to line-level copy review to prompting a new automation pipeline - and know which mode each situation calls for. We move in sprints, ship fast, and never let perfect be the enemy of good
- Content quality and brand voice: Own the editorial standard across everything that goes out — LinkedIn posts, blog content, SEO copy, case studies, newsletter. You are the last human filter before anything is published. You can tell the difference between content that performs and content that just sounds like AI generated it, and you fix the latter
- AI content engine: Direct and maintain agentic pipelines that produce content at scale. You set direction, write the prompts, evaluate the output, and intervene when the machine gets it wrong. This is already partially built; you evolve and own it
- Account-based marketing support: Align the content calendar with live pipeline priorities. Brief assets for key accounts. Make sure sales has what it needs, when it needs it — not generic collateral
- SEO and inbound: Own organic growth. Blog strategy, keyword targeting, distribution playbook, conversion path optimisation
- Brand and thought leadership: Evolve the Retail Spotlight podcast into a content ecosystem. Ghostwrite and direct founder voice content across two distinct voices. Build refive's presence as the authoritative voice on in-store customer engagement in Europe
- Events and field: Project-manage event participation remotely — NRF, EuroShop, RTS London and similar. Own the full loop: logistics, pre-event content, on-site coordination with vendors and booth teams, lead capture workflows, post-event follow-up content. You run this independently; founders show up and present
- Partner co-marketing: Develop joint campaigns and launch materials with white-label and integration partners as the pipeline scales
- Metrics and reporting: Own the automated weekly marketing dashboard (GA4, HubSpot, LinkedIn). Know your numbers. Flag what is not working before anyone asks
- We use heavy agentic automation across content, research, and reporting
- This role is not about doing more with less, it is about designing systems that handle the repeatable work so human judgment goes where it actually matters
- Benefits:
- End-to-end ownership of a marketing function with real enterprise customers and a clear growth path
- The chance to build and document an AI-first lean marketing playbook - a genuinely novel problem
Application process
- To apply, send your CV plus responses to both tasks below. Please use the "Cover Letter" field for that. Applications without both tasks completed will not be reviewed
- Task 1: Editorial eye. Here is a LinkedIn post a retail tech founder drafted but never published: "Excited to share that we've just launched our new in-store customer engagement solution that helps retailers leverage data-driven insights to optimize their omnichannel strategy and drive meaningful ROI across touchpoints. This is a game-changer for the industry. #retail #innovation #customerexperience." Rewrite it. Then tell us in two sentences what was wrong with the original
- Task 2: Systems thinking. We publish a new blog post every two weeks. Sketch the automation workflow you would build to turn each post into a week of LinkedIn content across two founder accounts. Cover: triggers, tools, prompts, and, critically, what a human reviews and when. A rough diagram or a numbered list of steps both work. We are not looking for a perfect answer. We are looking at how you think
Our take
Refive bridges the online and offline customer retention gap through its analytics engine, helping companies to create detailed profiles of their customers and discover actionable insights into their behaviour. Its engagement and retention tools are designed for seamless interaction with customers both before and after they check out.
Focused on brick-and-mortar retailers, refive’s in-store digital tools simultaneously offer meaningful benefits to customers whilst collecting their behaviour data. The aim is to help retailers make the most of their customer’s experiences, and therefore maintain a returning core market and discover ways to reach potential new ones.
As brick-and-mortar establishments are increasingly challenged by eCommerce, a hand must be taken from their rivals' playbooks. The adoption of digital analytics tools in physical retail is a lucrative niche for refive, which has enjoyed several rounds of pre-seed funding so far.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (1 round)
Oct 2021
$2.4m
SEED
Total funding: $2.4m
Company benefits
- Ownership and responsibility for your pipeline from day 1
- A platform for personal and professional development to further your career ambitions
- An attractive compensation package including a commission & options model that matches your performance, measured against transparent KPIs
- A training budget
- Work directly with the senior leadership to influence on the growth of a company
- Regular off-sites with the whole team
Company HQ
Prenzlauer Berg, Berlin, Germany
Leadership
Mitul Jain
(Founder & CEO)Currently a Member of 2Hearts and the Forbes Technology Council. Previously the Head of Analytics at OptioPay Group and was the Vice President of r4 Technologies.
Cristian Matinpelaez
(CTO)Previously a Data Engineer at Global Payment Processing AG, a Junior Business Analytics Manager at Affinitas GmbH and a Business Intelligence Intern at Everjobs.
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