National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Stealth Company Limited | Organic Growth Content Creator

Stealth Company Limited
London
6 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Founding Machine Learning Engineer

Machine Learning Performance Engineer

Machine Learning Researcher - Applied ML | Stealth Quant Firm

Position:Organic Growth Creator

Location:London

Type:Full-Time


About Us

We're working on building an AI personal coach app to help growth-minded individuals navigate daily challenges and become the best version of themselves. Our founding team includes AI pioneers from Google and Twitter whose experience has led to major breakthroughs in natural language understanding and dialog applications. We're in beta and looking to drive downloads and meaningful user engagement organically.


Role Overview

We’re seeking a results-driven, strategic, and hands-onOrganic Growth Creatorto drive user downloads through organic channels. Your mission will be to understand our ideal customer profile (ICP), create content that resonates, and optimize strategies to convert engagement into downloads.Success in this role means consistently growing our user base through organic efforts.


What You’ll Do

  • Drive Downloads: Develop and execute organic growth strategies that directly increase user downloads.
  • Create Engaging Content: Produce high-impact short-form videos, posts, and stories for TikTok, Instagram, Facebook, YouTube Shorts, and other relevant platforms.
  • Leverage Trends: Identify and capitalize on trends to maximize reach while aligning with Zera’s mission and ICP.
  • Analyze and Optimize: Use analytics tools to track performance, measure download conversion rates, and refine strategies based on data insights.
  • Deep ICP Understanding: Research and understand our target audience’s needs, behaviors, and challenges to create content that truly resonates.
  • Test and Iterate: Run growth experiments, analyze results, and continuously improve content and distribution tactics.
  • SEO and Organic Search: Implement SEO strategies and optimize content for organic search to drive sustained growth and downloads.
  • Community Engagement: Build and nurture relationships with potential users, spark conversations, and convert engagement into app downloads.


What You’ll Bring

  • Proven Track Record: Experience driving organic growth and increasing downloads for apps, platforms, or digital products.
  • Startup Experience: Deep experience working with startups in the 0-1 phase, especially in the B2C space, with a focus on driving downloads.
  • Content Creation Skills: Proficient in creating and editing short-form videos and static creatives (using tools like CapCut, Canva, or similar).
  • Analytical Skills: Ability to track and interpret data to optimize content and strategies for growth.
  • Platform Expertise: Deep knowledge of TikTok, Instagram Reels, Facebook, YouTube Shorts, and other organic growth channels.
  • SEO Expertise: Familiarity with SEO and organic search strategies to improve content discoverability and drive downloads.
  • Growth Mindset: A passion for experimentation, learning, and iterating quickly based on results.
  • Strong Storytelling: Ability to craft relatable, human-centered stories that drive downloads.


Nice-to-Haves

  • Experience promoting wellness, mental health, or self-growth products.
  • Background in community management or social engagement.


Why Join Us

  • Mission-Driven: Be part of a team dedicated to helping people live more fulfilled lives.
  • Outcome-Oriented: See the direct impact of your work on user growth.
  • Creative Freedom: Take ownership of ideas, experiment, and drive tangible results.
National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.