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SEO Lead
Location: Remote-first
Salary: Competitive, depending on experience

The Company
A high-growth AI scale-up shaping the future of AI infrastructure and consumer engagement. With 30M+ users in under two years and ambitious plans to scale globally, the business is building trusted, enterprise-ready AI systems alongside consumer-facing products used daily by millions. Backed by proven leadership and world-first innovation, this is an elite, fully remote team where speed, ownership and creativity are core values.

The Role
This is a foundational hire – the first in-house SEO Lead. You’ll take full ownership of SEO strategy, execution, and performance, reporting directly to the CMO. With high autonomy, you’ll be responsible for building SEO capabilities from scratch, managing external agency relationships, and making SEO a central driver of growth. This is a hands-on, technically focused role for someone excited by the challenge of scaling SEO in a fast-moving environment.

Key Responsibilities

• Own and build the SEO function end-to-end, creating a strategy aligned to company growth goals.

• Lead technical SEO initiatives, including site migrations, crawl efficiency, indexation, and site speed optimisation.

• Diagnose and resolve complex technical SEO issues across multiple platforms and products.

• Develop scalable processes for ongoing audits, reporting, and technical improvements.

• Partner with engineering, product, and marketing to ensure SEO is embedded in all digital development.

• Manage and collaborate with external SEO agencies and vendors, setting direction and ensuring delivery.

• Establish performance tracking, reporting frameworks, and actionable KPIs.

• Identify opportunities for organic growth and prioritise projects that maximise ROI.

• Lay the groundwork for future team growth, with potential to step into people leadership.

Skills & Experience

Essential:

• Strong technical SEO expertise – proven track record of resolving site architecture, crawl, and indexing challenges.

• Experience handling migrations and troubleshooting complex technical SEO issues.

• Evidence of SEO as a growth driver, not just a support channel.

• Ability to build SEO processes, systems, and best practices from scratch.

• Comfortable owning SEO independently in a high-growth, fast-moving company.

• Strong stakeholder management and ability to communicate technical insights clearly.

Desirable:

• Experience working with or managing external SEO agencies.

• Familiarity with scaling SEO in consumer-facing products or apps.

• Exposure to analytics tools such as Google Search Console, SEMrush, Ahrefs, Screaming Frog, and Google Analytics.

• Interest in developing leadership skills and mentoring others as the SEO function expands.

Interview Process
1st Stage: Introductory with the CMO (career background, motivation, and role alignment).
2nd Stage: Technical case study – audit or migration scenario with recommendations.
Final Stage: Leadership interview with senior team (focus on growth impact, stakeholder approach, and cultural fit).

How to Apply
Send your CV to Mohammed Buhariwala at Harnham or connect on LinkedIn to request the full brief and learn more.

Keywords
SEO Lead, Technical SEO, SEO Manager, Organic Growth, Site Migration, Crawl Optimisation, Indexing, Search Console, Ahrefs, SEMrush, Screaming Frog, Google Analytics, Remote, AI, Growth Marketing.

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Performance Marketing Manager (Mid-Senior)

Location: Remote (global). Core hours overlap with UK/EU time zones

Salary: €50,000-€100,000 (DOE)

The Company

A high-growth consumer tech business building AI-powered products used by tens of millions globally. The B2C app showcases conversational AI at scale, while a parallel B2B platform powers safe, reliable AI experiences for enterprises. Marketing is performance-driven, experimentation-led, and tightly linked to product and data teams.

The Role

You’ll own one or more paid channels end-to-end – from strategy and budgeting to execution, optimisation and reporting. Expect significant budgets, rapid testing cycles, and accountability for subscription growth, LTV and payback. You’ll operate as the channel GM: deep in the data, creative with testing, and rigorous about unit economics.

Key Responsibilities

• Take full ownership of a paid channel (or portfolio): plan, launch, optimise and scale.
• Manage high monthly spends (often $500k-$1M+) with clear CPA/LTV targets.
• Build experiment roadmaps: creative, audience, landing page, pricing, funnels.
• Set up and maintain tracking/attribution; partner with data/engineering to ensure accuracy.
• Analyse cohorts, LTV, churn/retention and subscription funnels; translate to actions.
• Run structured A/B and multivariate tests across ads, app store assets and in-app steps.
• Collaborate with Product & Creative to align growth levers with feature launches.
• Produce concise weekly performance narratives and exec-level read-outs.
• Forecast, scenario-plan and rebalance budgets across channels to hit growth goals.
• Contribute playbooks and help mentor peers as the team scales (1 marketer per channel model).

Skills & Experience

Essential

• 3-10 years in performance marketing for B2C apps/subscriptions (startup/scale-up ideal).
• Proven ownership of large budgets with profitable unit economics (CPA/CAC→LTV).
• Hands-on expertise with at least one of: Google Ads, Meta/IG, TikTok, Programmatic, or direct ad networks.
• Strong analytics: cohort/LTV, payback windows, incrementality basics, funnel diagnostics.
• Comfort with data tools (e.g., GA4/Appsflyer/Adjust/Singular; Sheets/Excel; BI dashboards).
• Testing rigour: hypothesis design, power/guardrails, clean measurement, crisp comms.
• Clear storytelling – you can turn dense performance data into simple decisions.

Desirable

• Experience with subscription pricing/packaging tests and offer frameworks.
• Familiarity with SKAN/Privacy Sandbox, MMM basics, and incrementality testing.
• SQL basics to self-serve queries; Python/R for deeper analysis is a plus.
• Experience scaling in multiple geos and localising creative at pace.
• Background blending mainstream platforms with alternative/ad-network buys.

What’s On Offer

• Impact at massive scale – your tests move acquisition curves seen by millions.
• True ownership: channel GM mindset, fast iteration, high trust/high bar culture.
• Fully remote, global team of senior operators; modern growth stack and strong data support.
• Competitive salary (€50k-€100k DOE) with room to grow as scope scales.

Interview Process

• Recruiter screen (fit & fundamentals).
• Interview with CMO (deep dive on ownership, playbooks and unit economics).
• Case study: analyse a real channel dataset and recommend actions.
• Culture/ways-of-working conversation with senior stakeholders.

How to Apply

Send your CV to Mohammed Buhariwala at Harnham or connect on LinkedIn to request the full brief and discuss channels best aligned to your experience.

Keywords

Performance Marketing, Growth Marketing, User Acquisition, Subscriptions, LTV, CAC/CPA, Cohort Analysis, A/B Testing, Google Ads, Meta, TikTok, Programmatic, App Tracking, Appsflyer, Adjust, GA4, SQL, Remote.

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Analytics Manager – Digital

Location: Leeds or Manchester (preferred). Open to Bristol, Glasgow, or London if required (3 days in office + 10 “work from anywhere” days/year).
Salary: Up to £80,000 + bonus + benefits (25 days holiday + birthday off, pension, healthcare, flexible working).

The Company

A leading UK media organisation undergoing a major digital transformation. With millions of viewers and subscribers, the business is investing heavily in its product, subscription, and distribution strategy. The central Audience Insight function brings together analytics, research, and data science to shape decisions across the company’s digital ecosystem.

The Role

This is a strategic analytics role with a focus on digital distribution, subscription performance, and customer experience. You’ll lead data-driven decision making, manage a small team, and deliver insights that directly impact product roadmaps and commercial partnerships.

Key Responsibilities:

• Partner with distribution stakeholders (e.g., major TV manufacturers and broadcasters) to evaluate how app integrations perform and drive ROI.

• Build forecasting and performance models to assess churn, retention, and new initiatives.

• Support a major app transformation project (launching in 12-18 months) – shaping metrics and success measurement.

• Provide clear, narrative-driven insights to senior stakeholders – not just dashboards.

• Line manage a team of 3 (1 Senior Analyst, 2 Insight Analysts, plus apprentice).

Skills & Experience

Essential:

• Strong digital/product analytics background.

• Hands-on with Adobe Analytics (Google Analytics considered if very strong).

• Advanced SQL skills.

• Proven data storytelling and visualisation ability – clear, persuasive presentations for stakeholders.

• Commercial mindset – experience in churn, retention, or subscription analytics.

• People management experience (doesn’t need to be extensive, but confident leading and coaching).

Desirable:

• Python for forecasting/modelling.

• Experience in distribution or product journey analytics.

• Exposure to ROI modelling and commercial decision-making.

Interview Process

1. Introductory with the hiring manager.

2. Task/exercise to prepare in advance.

3. Final stage: Task playback and technical discussion with panel.

How to Apply

Send your CV to Mohammed Buhariwala at Harnham or connect on LinkedIn to learn more.

Keywords

Analytics Manager, Digital Analytics, Product Analytics, Subscription Analytics, Adobe Analytics, SQL, Python, Forecasting, Churn, Retention, Customer Journey, Data Storytelling, ROI Modelling, Media, Distribution, Leeds, Manchester.

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Machine Learning Engineer
London
£100,000-£150,000

An elite, high-growth investment firm with a global presence is looking to expand its Machine Learning team in London. With backing from major institutional capital and a strong track record in global macro strategies, the firm is scaling its data and AI capabilities to support ambitious growth plans.

This is a rare opportunity to take full ownership of the ML lifecycle in a highly selective, performance-driven environment. You’ll be joining a lean, technically advanced team working on some of the most complex forecasting and signal generation challenges in finance.

What You’ll Do:

• Design and implement end-to-end ML workflows: data ingestion, model development, and deployment
• Automate and optimize large-scale data pipelines
• Develop forecasting and signal processing models tailored to macroeconomic data
• Collaborate closely with investment professionals and data scientists
• Contribute to the build-out of scalable ML infrastructure

What We’re Looking For:

• Proven commercial experience doing hands-on ML, ideally in a fast-paced or startup environment
• Proven track record working across the full ML lifecycle
• Strong coding and data engineering skills
• Background in finance, trading, or macroeconomic forecasting is essential
• Experience deploying models into production environments

Why Join:

• Exceptional autonomy and impact in a high-performing, well-capitalised firm
• Exposure to cutting-edge macro trading strategies and unique data sets
• Collaborative, entrepreneurial culture with a strong technical foundation
• Significant growth potential as the firm continues to scale globally

This role is ideal for someone looking to apply their ML skills in a high-stakes, high-reward environment, where your work will directly influence investment decisions.

To Apply for this Job Click Here

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Performance Marketing Manager (B2C, Scale-Up)
Remote | Full-Time | £50,000 – £100,000

About the Company

Join a fast-growing global consumer tech scale-up building products that combine entertainment, utility, and AI-driven personalization. With millions of users worldwide and rapid year-over-year growth, scaling their marketing team to drive the next phase of expansion.

Role

• Own and scale a performance marketing channel (Google, Meta, Instagram, or ad networks)

• Manage and optimize $500k-$1M+ in paid media spend

• Run A/B tests, optimize funnels, and iterate on creatives

• Model LTV and subscription growth, make data-driven recommendations

• Report directly to CMO and work in a lean, fast-moving team

Profile

• 3-10 years of hands-on performance marketing experience

• Proven track record in managing high-volume paid media budgets

• Strong analytics focus: subscription models, LTV modeling

• B2C background required (industry flexible)

• Startup/scale-up experience preferred

• Hands-on, data-driven, adaptable

Why Apply

• £50,000 – £100,000 annual salary

• Fully remote, global team

• Direct ownership of channel performance

• Work in a fast-scaling consumer tech company

Hiring Process

• Recruiter screening

• Interview with CMO

• Case study (campaign analysis + recommendations)

• Cultural fit interview

Find out more and apply via the link below.

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Principal Econometrician
Location: West London (Hybrid – 3 days a week in the office)
Salary: Up to £70,000

Ready to make an impact in a dynamic, fast-paced environment? Join a leading media and entertainment brand and take on an exciting opportunity to drive the efficiency of marketing plans through advanced econometric insights.

Role Overview:
As a Principal Econometrician, you’ll play a pivotal role in delivering econometric projects that help optimize business decision-making. You’ll work with key stakeholders to ensure your insights translate into real-world decisions on budget allocations, media planning, and marketing efficiency. If you’re passionate about advanced statistical techniques, media planning, and optimizing commercial strategies, this role is for you.

Key Responsibilities:

• Lead the delivery of econometric projects, ensuring alignment with key business goals and objectives
• Drive the Cross-Portfolio Optimisation process, using econometric insights to inform budget allocations and marketing decisions
• Collaborate with key stakeholders to integrate econometric findings into real-world business decisions
• Partner with consumer strategy teams to enhance the department’s reputation and influence within the company
• Lead the development of new techniques, tools, and processes to improve team efficiency, staying ahead of industry trends

Ideal Candidate:

• Proven experience delivering econometrics projects with an established provider in the industry
• Experience with sizing, allocating, and optimizing media investment decisions in a commercial context
• Passion for using statistical techniques to convert data into actionable recommendations
• Strong understanding of media planning and buying, and knowledge of how optimization techniques inform media strategies
• Advanced Excel skills to manipulate data and optimize based on model parameters
• Self-motivated with the ability to thrive in a fast-paced, dynamic environment
• Experience in developing and upskilling econometrics teams to ensure the use of the latest tools and techniques
• Excellent communication skills with experience delivering results and recommendations that impact commercial decision-making
• Strong organizational and time management skills to manage multiple tasks and priorities effectively
• Knowledge of Python is desirable

The Benefits:

• Up to £70,000 + benefits
• Hybrid
• West London (x3 days a week)

How To Apply:

If interested in the role please send your CV to Jordan Victor via the Apply Link below

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Senior Data Analyst – Dating App

Location: London (Hybrid)
Salary: £55,000 – £60,000

We are looking for a Senior Data Analyst to join our fast-growing dating product team. In this role, you’ll drive insights that directly shape product strategy, user experience, and feature development.

Key Responsibilities

• Own analysis of key dating funnel metrics (sign-ups, matches, retention, conversions).

• Build dashboards to track engagement and performance across markets.

• Design and analyse A/B tests to validate new product features.

• Provide clear insights that influence product, marketing, and leadership decisions.

Ideal Candidate

• 8+ years’ experience in data analytics, ideally in consumer apps or online platforms.

• Proficiency in SQL, Python, and BI tools (Tableau, Looker, Power BI).

• Experience working with subscription, engagement, or conversion funnel data.

• Strong communicator, able to present complex findings in simple, actionable ways.

Find out more and apply via the link below.

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Job Title: Marketing Data Analyst
Location: London (Hybrid – 2-3 days/week in office)
Salary: £35,000

A well-established professional services firm is seeking a Marketing Data Analyst to support its growing analytics and insights team. This is an ideal role for someone with a keen eye for data, looking to build a strong foundation in analytics within a collaborative, commercially focused environment.

The Role:
You’ll work alongside experienced analysts and business stakeholders, helping to transform raw data into clear, actionable insights. From data preparation and cleaning to supporting dashboards and regular reporting, you’ll play a key part in driving smarter decision-making across the business.

What You’ll Be Doing:

• Preparing, validating and analysing data from multiple internal systems

• Assisting with the creation and maintenance of dashboards and regular reports

• Supporting ad-hoc analysis and insight requests from across the business

• Working closely with the senior analytics team to continuously improve data processes

What We’re Looking For:

• Strong Excel and data handling skills (SQL knowledge a plus)

• A methodical, detail-oriented approach to working with large datasets

• Some familiarity with data visualisation tools (e.g., Power BI or Tableau) is desirable

• Eager to learn, with a genuine interest in using data to solve business problems

• Quantitative degree from a leading university is essential

You’ll be based in London 2-3 days a week, with flexibility around remote working. This is a great opportunity to start or build your career in a role where development and learning are encouraged.

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