Description review

Partnerships & User Acquisition Manager

Upskill Universe · United Kingdom · back to the listing

HR standards

48/100

poor

Title ↔ description

74/100

solid

Reads as

Marketing Manager

100% confident

What this role officially is

marketing manager — ESCO, the EU occupation classification

Marketing managers carry out the implementation of efforts related to the marketing operations in a company. They develop marketing strategies and plans by detailing cost and resources needed. They analyse the profitability of these plans, develop pricing strategies, and strive to raise awareness on products and companies among targeted customers.

Also known as: advertising sales manager, promotions manager, marketing executive, telemarketing manager, product marketing manager, market manager

How others title the same work

Large employers

  • Marketing Manager Canonical
  • Senior Marketing Automation Manager Canonical
  • Marketing Manager Canonical Ltd.
  • Senior Marketing Automation Manager Canonical Ltd.
  • Performance Marketing Manager, Global Coinbase

Startups

  • Head of Marketing BlueCargo
  • Growth & Marketing Lead Bluejay
  • Growth Marketer Callab AI
  • Experiential Marketing Coordinator Candid Health
  • Growth Lead Anglera

What the listing never says

  • 18 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
  • No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
  • No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity

The listing, marked up

About UpSkill Universe

UpSkill Universe is a global leader in AI-driven skills transformation and inclusive workforce development. Since 2015, we’ve designed and delivered award-winning digital skills, AI fluency and workforce development programmes for over 650,000 learners worldwide, partnering with organisations including Google, Sky, Walmart, HSBC and TikTok.

We design cutting-edge, scalable learning experiences that help enterprise organisations build AI capability, digital confidence and future-ready leadership. Our work sits at the intersection of AI, human performance and business impact.

As we continue to expand across the UK, Europe, US, Sub-Saharan Africa and Asia-Pacific, we are hiring a contract based part-time Partnerships & User Acquisition Manager to play a critical role in one of our exciting upcoming projects.

About the Role

We are looking for a part-time contract based (3 months) data-driven User Acquisition and Partnerships Manager to build a scalable growth engine for our AI-focused Learning Experience Platform (LXP). Your primary objective is to drive high volumes of SMB enrolments by leveraging the reach of major membership organisations. Instead of traditional one-to-one sales, you will focus on one-to-many distribution, creating automated and repeatable marketing playbooks that turn partner networks into a consistent stream of new users.

Core Responsibilities

1. Scalable Partnership Strategy & UA

• High-Leverage Distribution: Build and manage a "growth-first" pipeline of partners including focusing on those with the largest active SMB memberships.

• The "Growth Playbook": Develop a repeatable onboarding and activation framework for new partners to ensure every signed partnership results in immediate and sustained user traffic.

• Segmented Acquisition: Tailor the LXP value proposition for specific cohorts (e.g., "AI for Accountants" for ICAEW vs. "AI for Tech Scale ups" for Tech Nation) to maximise conversion rates.

2. Growth Marketing & Channel Execution

• Automated Partner Toolkits: Design and deploy "Plug & Play" marketing assets for partners, including white-label email sequences, social media kits, and webinar templates that require minimal effort from the partner to execute.

•
Multi-Channel Campaigns: Coordinate large-scale outreach via:

• Email Marketing: Scheduled blasts through partner-owned databases.

• Social Proof & Engagement: Using LinkedIn, X, and business forums to drive organic viral growth within the SMB community.

• Targeted Digital Advertising: Running performance-based ads to supplement organic partner traffic.

• Launch & Event PR: Orchestrate "earned media" moments around programme updates or tool launches to spike registration numbers.

3. Content-Led Conversion

• Case Study & Testimonial Engine: Systematically capture success stories from SMBs using the LXP to create "Social Proof" assets that lower the friction for new users to sign up.

• Value-First Outreach: Lead "Taster" webinars and digital workshops that provide immediate value, using them as a high-conversion top-of-funnel entry point to the LXP.

4. Funnel Optimisation & Analytics

• Conversion Rate Optimisation (CRO): Analyse the user journey from partner referral to LXP sign-up, identifying and removing friction points in the registration process.

• Data-Driven Reporting: Track and report on key growth metrics: Cost Per Acquisition (CPA), Partner Activation Rate, and Total Active Users.

• Feedback Loops: Use data to identify which partner types or marketing channels are driving the highest quality users and double down on those segments.

About You

• Growth Mindset: You come from a background in User Acquisition, Growth Marketing, or Partnership Management where "success" is measured by user numbers and scale.

• SMB Expert: You have a deep understanding of the SMB landscape and know how to cut through the noise to reach busy business owners.

• Systems Thinker: You don't just want to do things once; you want to build a process that allows for 10x growth without 10x the manual effort.

• Digital Native1 : You are comfortable with marketing automation, CRM tracking, and social media dynamics.

How to Apply

If you are excited about this role and the opportunity to drive change in the AI landscape, we would love to hear from you.

Please submit your CV and portfolio on this job posting.

For questions,

Originally posted on Himalayas

How this was produced

Highlights are found by rule, not by a model: each one is a phrase matched at a known position, and every note is a template we wrote. The two scores come from a typed-decision model (Jev) that reads the listing against the official role definition and real listings for the same role, and returns probabilities rather than prose — it never writes any of the words on this page, and never chooses what to highlight.

Deterministic penalty applied to the HR score: 20 points (from 68 before penalties). Reviewed 21 Sep 2026.