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Technical SEO Analyst

This is an exciting opportunity for a Technical SEO Analyst to shape and deliver SEO strategy across multiple international markets. You’ll work with a broad range of stakeholders, using data and technical expertise to improve organic performance, influence digital strategy, and drive meaningful business impact.

The Company
They are a well-established, consumer-focused organisation with a strong digital presence across multiple markets. Operating at scale, they are investing heavily in digital growth and customer experience, creating opportunities for SEO professionals to make a measurable impact. Their collaborative culture encourages innovation, continuous learning, and knowledge sharing across teams. You’ll join a business where data-driven decision making and digital excellence are key priorities.

The Role

• Develop and execute technical SEO strategies to improve organic visibility and performance.
• Conduct technical SEO audits and prioritise optimisation opportunities across websites and digital platforms.
• Analyse organic search performance, trends, and competitor activity to identify growth opportunities.
• Perform keyword research to support content, product, and customer acquisition strategies.
• Create clear performance reports and translate complex data into actionable business recommendations.
• Partner with development, UX, content, eCommerce, and marketing teams to implement SEO improvements.
• Support stakeholders across multiple business areas, influencing adoption of SEO best practices.
• Stay ahead of search engine algorithm updates and emerging SEO trends.

Your Skills & Experience

• Strong commercial experience in technical SEO and website optimisation.
• Solid understanding of on-page, technical, and content SEO principles.
• Experience working with JavaScript-based websites and technical development teams.
• Strong analytical skills with the ability to interpret performance data and generate insights.
• Experience conducting keyword research, competitor analysis, and SEO performance reporting.
• Ability to communicate technical concepts to both technical and non-technical stakeholders.
• Experience collaborating with cross-functional teams including UX, content, marketing, and eCommerce.
• Proactive approach with a focus on continuous improvement and problem solving.

What They Offer

• Performance-related bonus scheme.
• Hybrid working model.
• Generous holiday allowance.
• Employee discounts and additional lifestyle benefits.
• Clear opportunities to develop within a growing digital function.

How to Apply
If you’re a Technical SEO Analyst looking to make an impact in a large-scale digital environment, apply today to learn more about this opportunity.

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Digital Analyst
£40,000 – £45,000
Hybrid – Merseyside (3x days per week)

Are you passionate about turning digital data into meaningful commercial insight? This is an opportunity to join a well-established retail organisation undergoing continued investment in ecommerce, analytics, and data-driven decision making. You’ll play a key role in helping teams understand online performance, customer behaviour, and growth opportunities through advanced analytics.

The Company
They are a customer-focused retail business with a significant online presence and a strong commitment to innovation. Data plays a central role in shaping commercial decisions, and the organisation continues to invest in analytics capabilities across the business. You’ll join a collaborative environment where insights are valued, and where analytical expertise has a direct impact on performance and strategy.

The Role
As an Ecommerce Data Analyst, you will be responsible for delivering actionable insights that improve online performance and support business growth.
Key responsibilities include:

• Translate business challenges into analytical projects and data-driven recommendations
• Analyse web, customer, and commercial data to identify opportunities and trends
• Build strong relationships with stakeholders across ecommerce and wider business teams
• Develop dashboards, reports, and self-service analytics solutions using BI tools

Your Skills & Experience

• Strong commercial experience working with BigQuery and SQL
• Experience analysing ecommerce or digital performance data
• Strong knowledge of Google Analytics 4 (GA4)
• Experience with data visualisation tools such as Power BI or Looker
• Understanding of analytical methodologies and data-driven problem solving
• Awareness of ETL processes and data automation concepts
• Strong communication skills with the ability to present complex findings clearly to non-technical audiences

What They Offer

• Competitive salary and benefits package
• Hybrid working environment
• Access to career development and progression opportunities
• Collaborative and supportive analytics team
• Opportunity to shape reporting, insights, and data capability across a growing ecommerce function
• Pension and additional employee benefits

How to Apply
If you’re an Ecommerce Data Analyst with strong SQL, BigQuery, GA4, and BI experience, apply today to learn more about this exciting opportunity.

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Senior Product Analyst

£60,000-£70,000

Manchester (Hybrid – 3x Days a Week in Office)

If you’re passionate about product analytics, experimentation, and using statistics to shape the experience of millions of users, this is an opportunity to join one of the UK’s leading digital product teams!

The Company

A market-leading digital business is looking for a Senior Product Analyst to join its growing Product Analytics function. Working within a highly collaborative Product & Technology division, you’ll help drive product decisions through experimentation, behavioural analytics and data science, influencing products used by millions of customers every month.

The Role

Joining the Growth Engineering team, you’ll use product analytics and experimentation to improve customer experiences, optimise conversion journeys and deliver smarter personalisation.

You’ll:

• Lead product analytics projects from problem definition through to recommendation
• Design, analyse and evaluate A/B tests and experimentation frameworks
• Apply statistical techniques and modelling to solve product challenges
• Analyse customer and user behaviour using rich event-level data
• Partner with Product Managers, Engineers, Marketing and senior stakeholders
• Support personalisation initiatives and audience measurement projects
• Deliver clear, commercially-focused insights that influence product strategy

This is a highly visible role where you’ll combine strong technical skills with commercial thinking to drive meaningful product improvements.

Your Skills & Experience

• Strong SQL skills
• Python (PySpark experience is beneficial)
• Experience in Product Analytics
• Strong knowledge of A/B testing and experimentation
• Excellent statistical analysis skills, with exposure to modelling techniques
• Experience analysing behavioural or digital product data
• Ability to communicate insights to both technical and non-technical stakeholders
• Experience working with web analytics or event-level data would be advantageous

The Benefits

• £60,000-£70,000 salary
• Annual Share Scheme (10% of salary)
• 28 days holiday plus bank holidays
• Up to 6 weeks remote working during the summer & additional remote working over the Christmas period

How to Apply

Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page.

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Technical SEO Specialist
London (Old Street hybrid, 3 days per week)
Up to £52,000 plus bonus
This is an opportunity to join a well-established international business where SEO plays a central role in driving digital performance across multiple markets. You will take ownership of technical SEO initiatives, working across a diverse portfolio of brands and collaborating with cross-functional teams to deliver measurable impact.
The Company
They are a global consumer-focused organisation with a strong presence across Europe and beyond. Operating across multiple markets, they manage a portfolio of well-known retail brands and serve millions of customers through both physical and digital channels. Their digital function is a key area of investment, with a strong emphasis on data-driven decision making and continuous optimisation. The culture promotes collaboration, innovation, and professional development.
The Role

• Identify SEO opportunities across multiple European markets and business units
• Define and deliver data-driven SEO strategies to improve organic visibility and performance
• Execute on-site and technical SEO improvements, alongside off-site optimisation initiatives
• Conduct in-depth technical and content SEO audits, prioritising high-impact actions
• Work closely with developers, UX, content, design, and eCommerce teams to implement changes
• Analyse performance data, track trends, and provide clear, actionable insights to stakeholders
• Operate across multiple brands in an internal agency-style model, balancing strategy and hands-on delivery
• Build strong relationships with stakeholders and communicate recommendations effectively

Your Skills and Experience

• Strong commercial experience in technical SEO, including on-page and content optimisation
• Ability to analyse performance data and translate findings into clear business recommendations
• Experience collaborating with technical and non-technical stakeholders
• Confident communication skills with the ability to influence and build relationships
• Familiarity with SEO tools such as Screaming Frog, SEMrush or similar platforms
• Exposure to JavaScript-based websites is beneficial but not essential
• Experience working in an agency environment or in a multi-brand setting is advantageous
• Interest in emerging areas such as AI-driven search or evolving SEO trends

What They Offer

• Salary up to £52,000 with a performance-related bonus
• Hybrid working model with a central London office
• Opportunity to work across multiple international brands and markets
• Strong learning and development support to accelerate your career
• Collaborative team environment with clear progression opportunities
• Additional benefits including wellbeing support and employee perks

How to Apply
If you are interested in this Technical SEO Specialist role, please apply with your CV to be considered.

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Senior/Staff AI Engineer (Founding Team)
Remote (US) | $150,000 to $220,000 base salary + equity
This is a unique opportunity to join a high-growth AI business at an inflection point in its journey. As part of the founding AI Engineering team, you will play a pivotal role in building production-grade agentic AI systems that deliver measurable value to customers while helping shape the company’s technical direction, engineering standards, and culture from the ground up.
The Company
They are a venture-backed AI company developing next-generation AI infrastructure and intelligent workflow automation products. Rather than applying AI to existing solutions, they are building foundational platforms that enable agent orchestration, automation, and scalable production AI systems. Following recent investment, they are expanding their engineering team and investing heavily in product innovation. Their environment is collaborative, fast-moving, and focused on delivering tangible business outcomes.
The Role
You will work closely with engineering and product leadership to build, deploy, and optimise AI-powered products used in real-world customer environments.
Key responsibilities include:

• Designing and developing production AI features from concept through deployment
• Building agentic workflows and orchestration frameworks
• Developing intelligent automation solutions for complex business processes
• Optimising model performance, latency, reliability, and cost efficiency
• Collaborating with Product teams to measure customer impact and business outcomes
• Contributing across the full software development lifecycle
• Influencing technical architecture, engineering practices, and platform strategy
• Supporting the development of scalable AI systems in a greenfield environment

Your Skills & Experience
You will bring strong commercial software engineering experience combined with hands-on expertise in modern AI technologies.
Key requirements:

• Experience building and deploying production LLM applications
• Expertise in agentic AI systems and workflow orchestration
• Hands-on experience with LangChain or similar orchestration frameworks
• Strong software engineering fundamentals and architecture capabilities
• Experience delivering customer-facing AI products
• Ability to own features and projects end-to-end
• Experience operating effectively within startup or high-growth environments
• Product-focused mindset with an emphasis on measurable outcomes

Desirable experience:

• Multi-agent systems
• Retrieval Augmented Generation (RAG) architectures
• AI evaluation and experimentation frameworks
• Prompt engineering
• MLOps or LLMOps practices
• Cloud-native infrastructure
• Exposure to advertising technology, marketing technology, or automation platforms

What They Offer

• Base salary between $150,000 and $220,000
• Meaningful equity participation
• Fully remote working environment with access to a collaborative engineering community
• Direct exposure to founders and executive leadership
• Significant ownership and autonomy
• Opportunity to influence platform architecture and engineering culture
• Clear progression within a rapidly scaling AI organisation
• Opportunity to work on cutting-edge agentic AI systems with immediate customer impact

How to Apply
If you are excited by the opportunity to build production AI systems, take ownership of complex engineering challenges, and help define the future of intelligent automation, apply today. Based on the experience you bring, candidates will be considered at Senior or Staff level

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Technical SEO Specialist – Global Consumer Retail Business
Location: Hybrid – London (3 days WFH / 1 anchor day in office)
Salary: Up to £52,000 + performance bonus

A leading international consumer retail business is looking for a Technical SEO Specialist to join its growing digital team and help drive organic search performance across multiple markets.

Operating across a portfolio of well-known retail brands, this is an exciting opportunity to work on high-traffic websites, influence SEO strategy, and deliver measurable improvements across a global digital estate.

The Role

You’ll operate as an internal SEO consultancy, partnering with different business units to identify opportunities, improve search visibility, and deliver impactful optimisation across technical, content and on-page SEO.

Key responsibilities include:

• Developing data-led SEO strategies across multiple markets

• Leading technical and content SEO audits

• Identifying opportunities to improve organic performance

• Working closely with developers, UX, design, content and eCommerce teams to implement improvements

• Analysing performance data and translating insights into actionable recommendations

• Supporting both strategic planning and hands-on implementation where required

• Helping shape the future search roadmap, including emerging areas such as AI search/GEO

About You

We’re looking for an SEO specialist who can combine strong technical capability with excellent stakeholder communication.

You’ll ideally have:

• 2-6 years’ experience in SEO (agency experience strongly preferred)

• Strong understanding of technical, on-page and content SEO

• Experience running SEO audits and supporting implementation

• Confidence using SEO tools such as Screaming Frog, SEMrush or similar

• Strong analytical skills with the ability to connect SEO activity to business impact

• Experience working cross-functionally with developers and non-technical stakeholders

JavaScript knowledge is highly desirable, but not essential. Experience with GEO/AI search would be a bonus.

Why Join?

• Work on large-scale, high-traffic consumer websites

• Join a collaborative SEO team with real influence across the business

• Enjoy a varied role combining strategy, technical SEO and implementation

• Be part of an international organisation investing heavily in digital growth

Interview process:

1. 30-minute online interview with the hiring manager and Talent team

2. Final in-person interview including a short task

Apply now for the opportunity to make a visible impact on a global SEO programme.

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Title: Data Architect
Location: US Remote
Pay: $200k – $230k Base (No Bonus)

Overview:
An innovative, high-growth organisation is seeking a Data Architect to drive advanced analytics and machine learning initiatives across multiple business domains. This role focuses on building scalable data solutions, deploying predictive models, and enabling data-driven decision-making in a collaborative, cloud-first environment.

Responsibilities:

• Design, develop, and deploy predictive and prescriptive models across domains such as customer behaviour, operations, and personalisation
• Apply machine learning, deep learning, and statistical methods to solve complex business challenges
• Lead experimentation initiatives including A/B and multivariate testing, as well as causal inference analysis
• Analyse large, complex datasets to generate insights and inform strategic recommendations
• Communicate technical findings clearly to both technical and non-technical stakeholders
• Collaborate with product managers and cross-functional teams to define data science initiatives
• Partner with engineering teams to build scalable, data-driven applications
• Mentor junior team members and contribute to best practices, tools, and reusable frameworks

Must Have Qualifications:

• 7-10+ years of experience in data science, applied machine learning, or statistics
• Strong proficiency in Python or R, including libraries such as scikit-learn, TensorFlow, or PyTorch
• Hands-on expertise with AWS and cloud-based AI/data platforms
• Experience building and deploying Data Mesh architectures
• Proven ability to productionise models using APIs, pipelines, or ML frameworks
• Experience with tools such as Databricks, SageMaker, and Snowflake

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Senior AI Engineer (Founding Team)

Remote (US) – NYC Preferred

$175,000 – $200,000 Base + Equity

THE COMPANY

Harnham is partnering with a venture-backed, early-stage AI startup building an agentic AI operating system for the advertising and marketing industry. Having recently completed a successful Series A funding round, the company is entering a rapid growth phase and is focused on developing foundational AI infrastructure that enables intelligent workflows, agent orchestration, and large-scale production AI systems.

Rather than layering AI onto existing software, the organization is building AI-native products from the ground up. With a lean team of approximately ~30 employees and a highly collaborative engineering culture, this is an opportunity to work directly alongside founders and technical leadership to define the future of AI-powered workflow automation.

RESPONSIBILITIES

• Build and deploy production-grade AI features from concept through implementation and launch.
• Design and develop agentic AI workflows, orchestration frameworks, and intelligent automation systems.
• Create AI-powered applications that solve complex advertising and marketing challenges.
• Optimize model performance, latency, reliability, and operational costs across production environments.
• Collaborate closely with Product and Customer Success teams to validate business impact and customer outcomes.
• Own features end-to-end, from architecture and development through deployment and ongoing optimization.
• Contribute to platform architecture, engineering standards, and technical best practices.
• Help shape the long-term direction of the company’s AI infrastructure and product strategy.

SKILLS AND EXPERIENCE

• Strong software engineering background with experience building and shipping production AI applications.
• Hands-on experience developing LLM-powered applications in production environments.
• Experience designing and implementing agentic AI systems and workflow orchestration frameworks.
• Proficiency with LangChain or comparable orchestration technologies.
• Demonstrated experience owning customer-facing products from development through deployment.
• Strong software engineering fundamentals, including application architecture, testing, and scalability.
• Comfort operating in fast-paced startup environments with high ownership and ambiguity.
• Product-oriented mindset focused on measurable customer and business outcomes.
• Ability to work across the technology stack and contribute wherever needed.

PREFERRED EXPERIENCE

• Experience with multi-agent systems and advanced orchestration architectures.
• Knowledge of Retrieval-Augmented Generation (RAG) systems.
• Experience implementing AI evaluation and testing frameworks.
• Prompt engineering expertise.
• Background in marketing, advertising technology, or related industries.
• Experience with MLOps, LLMOps, and cloud-native infrastructure.
• Exposure to vector databases and large-scale AI platform architectures.

BENEFITS

The compensation package includes a competitive base salary, meaningful equity participation, and the opportunity to join a high-growth AI startup at an early stage. This role offers significant ownership, direct access to founders and engineering leadership, and the chance to help define the future of production-grade agentic AI systems.

HOW TO APPLY

Please submit your CV via the Apply link on this page to register your interest.

KEY TERMS

Artificial Intelligence | Agentic AI | AI Agents | Large Language Models | LLMs | LangChain | Workflow Automation | Multi-Agent Systems | RAG | Prompt Engineering | MLOps | LLMOps | Production AI | Software Engineering | Startup | Marketing Technology | Advertising Technology | Full Stack Engineering | AI Infrastructure | Machine Learning | Founding Engineer | Generative AI | Automation Platforms | Cloud Infrastructure

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Overview

We are hiring two Senior Analytics Engineers to help build and scale customer-facing analytics capabilities that are embedded directly into a growing software platform.

This is not a traditional BI or reporting role. We are looking for candidates who think like product builders-professionals who can design, develop, and deliver analytics solutions that become part of the product experience rather than simply creating dashboards or responding to ad hoc reporting requests.

What We’re Looking For

Required Experience

• Advanced SQL expertise, including complex query development, data transformations, and relational database design
• Experience with SQL Server, PostgreSQL, Snowflake, Vertica, or similar database environments
• Strong analytics engineering, data modeling, and software development fundamentals
• Experience building end-to-end analytics products rather than solely reports or dashboards
• Ability to work effectively with ambiguity and incomplete requirements
• Strong communication and stakeholder management skills
• Demonstrated ownership mentality and ability to independently drive solutions from concept to delivery

Healthcare Experience (Highly Preferred)

Ideal candidates will have experience working with:

• Claims data
• Healthcare services data
• Transactional healthcare datasets

Candidates with purely patient advocacy or patient-facing analytics backgrounds may be less aligned with the team’s needs.

What Makes Someone Senior?

• Understands business problems before proposing technical solutions
• Can clearly explain design decisions and technical trade-offs
• Takes ownership rather than waiting for detailed direction
• Thinks strategically about how analytics solutions will be used by customers
• Can navigate ambiguity and drive projects to completion independently

Nice to Have

• Tableau or Looker experience
• Python development experience
• Git and version control workflows
• Shell scripting
• Linux or command-line experience
• Data visualization expertise
• Experience building user-facing analytics applications
• Exposure to data science methodologies and workflows

What This Role Is NOT

• Not a traditional reporting or dashboard-only position
• Not focused primarily on ad hoc business requests
• Not a purely BI-focused role
• Not limited to writing SQL queries without ownership of product outcomes
• Not a fit for candidates who have only worked in reporting environments with little exposure to software development practices or product thinking

Location & Compensation

Location: Fully Remote (Continental U.S. Only)

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Overview

We are hiring a Senior Machine Learning Engineer to improve and optimize production ML systems that directly drive revenue and user engagement.

This is a highly applied machine learning role focused on improving live prediction, ranking, recommendation, and optimization models at scale. The infrastructure, data pipelines, and feature stores are already in place, allowing this person to focus on the models themselves and the business outcomes they produce.

This is an opportunity to work on large-scale ML systems, run meaningful experiments, and see your work directly impact key company metrics.

What You’ll Do

• Own and improve production machine learning models
• Develop new features, model architectures, and optimization strategies
• Improve prediction, ranking, recommendation, and decisioning systems
• Analyze large-scale datasets to identify opportunities for performance gains
• Design and run experiments to measure business impact
• Evaluate model performance and continuously iterate based on results
• Partner closely with Product, Engineering, and Data teams
• Translate insights into production-ready model improvements

What We’re Looking For

• 5+ years of experience in Machine Learning Engineering, Applied ML, or Data Science
• Strong Python and SQL skills
• Experience building, deploying, and improving production ML systems
• Experience working with large-scale datasets
• Strong understanding of feature engineering, experimentation, and model evaluation
• Track record of improving live models and driving measurable business outcomes
• Experience with recommendation systems, ranking models, personalization, search, AdTech, marketplace optimization, or other large-scale optimization systems

Nice to Have

• Experience with AdTech systems
• Experience with recommendation engines or ranking models
• Familiarity with online feature stores
• Experience optimizing models tied to revenue, engagement, conversion, or retention metrics
• Cloud experience with AWS, Snowflake, or similar technologies

What This Role Is NOT

• Not an ML infrastructure role
• Not a data engineering role
• Not focused on building pipelines or feature stores
• Not a research-focused position
• Not an MLOps-heavy role

Location & Compensation

Location: Remote within approved U.S. states (PST working hours preferred)

Compensation:

• $180,000 – $240,000 base salary
• 401(k)
• Unlimited PTO

Final Note

We’re specifically looking for engineers who have improved production machine learning models and delivered measurable business impact. Candidates should be able to speak in detail about feature engineering, model tuning, experimentation, model architecture decisions, and how their work improved key business metrics.

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Senior Frontend Engineer

Location: Hybrid (3 days/week onsite in New York City)
Pay: $175k – $200k Base Salary + 10% Annual Bonus + Equity

About the Opportunity

Join a rapidly growing technology organisation operating at global scale, serving hundreds of millions of consumers worldwide. This team is focused on building next-generation AI-powered products and developer tooling, leveraging massive amounts of real-time data to drive innovation. The engineering culture combines the resources of a large enterprise with the agility and autonomy of a fast-moving startup environment.

Responsibilities:

• Partner with engineering leadership and technical stakeholders to define and build new AI-driven products and features.
• Drive frontend development initiatives while contributing across the full stack when needed.
• Modernise and migrate legacy applications to scalable, maintainable architectures.
• Design and deploy AI-powered agents to support software development, code review, and automation workflows.
• Contribute to specification-driven development practices and engineering standards.
• Build highly scalable applications using modern TypeScript frameworks and server-side rendering technologies.
• Evaluate and integrate emerging AI technologies into software development processes.
• Collaborate across multiple engineering teams to deliver customer-focused solutions.

Must Have Qualifications:

• 8+ years of professional software engineering experience.
• Strong expertise with TypeScript and modern frontend development.
• Experience with server-side rendering frameworks such as NestJS, Remix, or similar technologies.
• Hands-on experience working with Kubernetes in production environments.
• Full-stack engineering background with the ability to work across multiple technologies.
• Bachelor’s degree in Computer Science or a related technical field.

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