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CRM SOLUTIONS ARCHITECT
UP TO £95,000 + BENEFITS
HYBRID – North West London

If you’re an experienced Solutions Architect with strong CRM expertise and a passion for large-scale digital transformation, this is a fantastic opportunity to shape the future of enterprise technology for a nationally recognised organisation in the sporting sector.

THE COMPANY:

This organisation is embarking on a major digital transformation programme designed to modernise systems, improve data capability, and enhance customer engagement. You’ll join during a pivotal stage in their journey, leading the replacement of a core CRM platform and helping to deliver enterprise-wide improvements in customer insight and marketing effectiveness.

THE ROLE:

As a Solutions Architect, you’ll define and oversee the architecture for CRM, Customer Data Platform (CDP), and marketing technology systems-ensuring scalable, integrated, and future-proof solutions.

Key responsibilities include:

• Lead solution design and architecture for CRM, CDP, and marketing technology platforms

• Oversee the replacement of the existing CRM system and data migration to Microsoft Dynamics

• Support the rollout of a new Customer Data Platform (CDP) for segmentation and analytics

• Translate business needs into robust, scalable solutions

• Align designs with the Enterprise Architecture strategy and long-term technology roadmap

YOUR SKILLS AND EXPERIENCE:

A successful Solutions Architect will bring:

• 5-10 years’ experience in Solutions Architecture

• Strong expertise in Microsoft Dynamics CRM

• Proven ability to engage effectively with business and non-technical stakeholders

• Experience working with external implementation partners

Nice to have:

• Knowledge of Customer Data Platforms (CDP)

• Experience with marketing automation tools

• Background in large-scale digital transformation projects

THE BENEFITS:

You’ll receive a salary of up to £95,000, depending on experience, plus a comprehensive benefits package.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

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Data Team Lead

Retail & E-commerce

Amsterdam (Hybride)

Tot 110k jaarlijks

Ben jij een hands-on dataleider die de toekomst van data en analytics wil vormgeven binnen een groeiend retailbedrijf? Wij werken samen met een muziekretailer met zowel fysieke winkels als een e-commerce platform, die op zoek is naar een Head of Data / Lead Data Scientist om hun datateam te leiden en verder uit te bouwen.

De rol

Je komt in een hybride hands-on en leidinggevende functie, waarbij je een klein maar groeiend team aanstuurt (momenteel 3 personen, uitbreiding naar 5 gepland) bestaande uit data engineers, BI/analytics specialisten en binnenkort ook data scientists/ML engineers. Je tijd wordt ongeveer 50/50 verdeeld tussen het coachen van het team en actief meewerken in projecten.

Je helpt de organisatie data in te zetten voor prijsoptimalisatie, next best offer, voorraadbeheer en logistieke processen, met een duidelijke focus op AI- en ML-initiatieven voor de toekomst.

Belangrijkste verantwoordelijkheden

• Leidinggeven aan en coachen van het datateam
• Uitvoeren en begeleiden van projecten zoals prijsoptimalisatie, next best offer, voorraadoptimalisatie en picking flow verbetering
• Ondersteunen van de afronding van de datawarehouse en infrastructuur
• Hands-on werken met Python, SQL, AWS en Tableau
• Samenwerken met verschillende teams om data-gedreven besluitvorming te stimuleren

Wat we zoeken

• Ervaring met leidinggeven aan kleine data teams (Data Science, Data Engineering, Analytics)
• Sterke hands-on ervaring met Python, SQL, AWS en Tableau
• Vermogen om strategische visie te combineren met praktische uitvoering
• Ervaring in retail of e-commerce analytics is een pré
• Leiderschapsstijl: coachend, samenwerkend en projectgericht

Praktische informatie

• Locatie: Amsterdam (2 dagen per week op kantoor) + incidenteel in Goes
• Salaris: €90.000-€110.000

Dit is een unieke kans om een groeiend datateam te leiden, terwijl je zelf actief betrokken blijft bij impactvolle analytics- en AI/ML-projecten binnen een dynamische retailomgeving.

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SENIOR DATA ANALYST – MEMBER EXPERIENCE
UP TO £65,000 + EQUITY + 10% BONUS
FULLY REMOTE (UK) – QUARTERLY TEAM MEETUPS

Please note, you must be based in and eligible to work in the UK to apply.

THE COMPANY
This fast-scaling, PE-backed consumer tech platform connects a global community of members through a unique, trusted exchange model. With recent investment and a valuation exceeding $100M, the business is entering a high-growth phase and preparing for an exciting exit in the next 1-2 years, meaning equity will have a real and near-term impact.
The company is passionate about its mission and proud of its community-driven culture. You’ll join a close-knit, values-led team of pet-loving travellers who combine commercial focus with creativity, collaboration, and purpose.

THE ROLE
As a Senior Data Analyst within the Member Experience team, you’ll play a key role in driving product and customer strategy – helping to reduce churn, boost renewals, and improve lifetime value. Working across product, data, and design, you’ll turn behavioural data into clear, actionable insights that shape how members experience and engage with the platform.
You’ll also play a hands-on role in experimentation and data enablement, ensuring data becomes a core part of every decision across the business.

In this role, you will:

• Lead analysis focused on churn, retention, and lifetime value within a membership-based product.
• Translate complex product and customer data into clear stories and recommendations for product, UX, and leadership teams.
• Design and interpret experiments (A/B tests) to validate hypotheses and drive product improvements.
• Build dashboards and reporting tools to track member performance and key engagement metrics.
• Partner closely with data engineering, analytics, and product teams to enhance data capabilities and insight delivery.
• Support the business in becoming more data-led through enablement and storytelling.

YOUR SKILLS AND EXPERIENCE

• Proven experience in product and customer analytics, ideally within a subscription, marketplace, or consumer tech environment.
• Advanced SQL skills, with experience working hands-on in analytical databases.
• Strong understanding of churn, LTV, retention, and experimentation.
• Experience with a data visualisation or BI tool (they use Mode, but open to others).
• Familiarity with tools such as Amplitude, Python, R, or dbt a plus but not essential.
• Confident communicator able to translate data into stories and influence stakeholders.
• A proactive self-starter who thrives in a fast-paced, scaling environment.

WHY APPLY?

• Fully remote within the UK – with quarterly team meetups (all expenses paid).
• Join a mission-driven, high-growth team backed by strong investors.
• Work alongside experienced data and product professionals in a collaborative, growth-minded culture.
• Opportunity to directly influence how millions of members experience a truly unique global product.

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Senior Product Analyst
Fully Remote in The UK
£55,000-£65,000

THE COMPANY

A fast-growing online marketplace is seeking a Senior Product Analyst to analyse & optimise cross-platform customer journeys. You will be one of the go-to people within the business for all things product analytics, offering you great autonomy to shape the role in your vision and help to grow and develop the function moving forwards

THE ROLE

As the Senior Product Analyst you’ll be responsible for the analysis & optimisation of digital customer journeys. If you’re a looking for a role where you’ll be the go-to person for all things product analytics related within a fast-growing international scale-up, this is the role for you!

YOUR SKILLS AND EXPERIENCE

• Strong SQL Experience
• Extensive experience using Product data
• A/B Testing / Experimentation

THE BENEFITS

• £55,000-£65,000 (dependent on experience)

HOW TO APPLY

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

KEY TERMS
IBM, Coremetrics, Google Analytics, GA, Omniture, SiteCatalyst, Adobe Analytics, DTM, Dynamic Tag Manager, Ensighten, Tealium, Analyst, Web, Digital, Online, Website, Financial Services, Finance, A/B, Test, Split, Multivariate, MVT, Tracking, Code, Tagging, Tags, Insight, Client, Agency, Management, Strategy, CRO, Conversion, Optimisation, Optimizely, Test and Target, Adobe Target, Maxymiser, VWO, Visual Website Optimiser

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AI Software Engineer

Remote (US – ET/CT Time Zone)
$120K-$160K + Benefits

I’m partnering with a global leader in digital learning technology that’s transforming how millions of students and educators experience personalized, AI-powered learning. Following major investment in generative AI, the company is scaling its AI Platform Engineering team to build the next generation of adaptive learning tools.

This is a hands-on engineering role focused on building production-grade generative AI applications that power multiple products across the business.

The Role:

You’ll design and build scalable, full-stack systems that integrate large language models and AI capabilities into digital learning platforms. Working closely with data scientists, product managers, and engineers, you’ll help take GenAI prototypes from experimentation to production-driving forward real-world AI impact.

Key Responsibilities

• Develop and maintain AI-powered applications and platform services that are reliable, scalable, and secure
• Build and optimize LLM-based and RAG-powered solutions using frameworks such as LangChain or LangGraph
• Collaborate with Data Science teams to productionize models and streamline deployment pipelines
• Lead and contribute to technical design, architecture, and CI/CD improvements
• Ensure applications meet accessibility (WCAG 2.2 AA), performance, and security standards
• Stay current on the latest advancements in GenAI and advocate for best practices across the team

About You

• 5+ years of professional software engineering experience
• Strong full-stack skills across:
• Backend: Python, Node.js, or Go
• Frontend: Angular or React
• Databases: MySQL/PostgreSQL + NoSQL (e.g., DynamoDB)
• Cloud/Infra: AWS or Azure, Terraform, CI/CD tools
• Hands-on experience building AI/GenAI-enabled applications (Azure OpenAI, Amazon Bedrock, etc.)
• Practical understanding of RAG techniques, vector databases, and AI orchestration tools
• Strong system design, performance optimization, and collaboration skills
• Passionate about building impactful technology and staying ahead in the AI space

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Senior Machine Learning Scientist

Location: SF Bay Area – Hybrid (3 days/week onsite)

Salary: $180-200k base + Equity

A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Senior Machine Learning Scientist to drive innovation across personalization, feed ranking, computer vision, and GenAI. You’ll work on high-impact ML solutions that directly shape user experience and business outcomes at massive scale.

What You’ll Do

• Lead full-lifecycle ML projects from idea to production across core areas like personalization, trust & safety, marketing optimization, and user engagement.
• Own the ML development process-from data exploration and feature engineering to model training, deployment, and post-launch optimization.
• Collaborate cross-functionally with ML engineers, PMs, and business stakeholders to identify and prioritize high-leverage initiatives.
• Experiment with emerging AI techniques, including GenAI, computer vision, and LLMs, to push the boundaries of what’s possible on the platform.
• Build scalable, production-ready ML systems that enhance key metrics like retention, engagement, and conversion.

What You Bring

• 3+ years of experience building, deploying, and maintaining ML models at scale.
• Deep expertise in Python, SQL, Spark (PySpark or Scala) and frameworks like PyTorch or TensorFlow.
• Proven track record in consumer tech or large-scale marketplaces companies.
• Hands-on experience with CNNs, Transformers, Vision Transformers, and personalization algorithms.
• Background in user behavior modeling, search relevance, or real-time data systems.
• Strong foundation in experimentation (A/B testing), statistics, and applied ML.
• Exceptional communication skills and the ability to translate technical insights into business value.

• Experience with LLMs, RAG (Retrieval-Augmented Generation), or PEFT (Parameter-Efficient Fine-Tuning) techniques.

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Senior Data Scientist – Personalization & Recommendation Engines

Location: SF Bay Area – Hybrid (3 days/week onsite)

Salary: $180-200k base + Equity

A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Senior Data Scientist to drive innovation across personalization, feed ranking, computer vision, and GenAI. You’ll work on high-impact ML solutions that directly shape user experience and business outcomes at massive scale.

What You’ll Do

• Lead full-lifecycle ML projects from idea to production across core areas like personalization, trust & safety, marketing optimization, and user engagement.
• Own the ML development process-from data exploration and feature engineering to model training, deployment, and post-launch optimization.
• Collaborate cross-functionally with ML engineers, PMs, and business stakeholders to identify and prioritize high-leverage initiatives.
• Experiment with emerging AI techniques, including GenAI, Computer Vision, and LLMs, to push the boundaries of what’s possible on the platform.
• Build scalable, production-ready ML systems that enhance key metrics like retention, engagement, and conversion.

What You Bring

• 3+ years of experience building, deploying, and maintaining ML models at scale.
• Deep expertise in Python, SQL, Spark (PySpark or Scala) and frameworks like PyTorch or TensorFlow.
• Proven track record in consumer tech or large-scale marketplaces companies.
• Hands-on experience with CNNs, Transformers, Vision Transformers, and personalization algorithms.
• Background in user behavior modeling, search relevance, or real-time data systems.
• Strong foundation in experimentation (A/B testing), statistics, and applied ML.
• Exceptional communication skills and the ability to translate technical insights into business value.
• Experience with LLMs, RAG (Retrieval-Augmented Generation), or PEFT (Parameter-Efficient Fine-Tuning) techniques.

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Staff Marketing Analyst

Location: San Francisco (Hybrid)

Salary: $200,000-$250,000 Base + Bonus + Equity

Join a high-growth SaaS innovator backed by top-tier investors as they scale their Marketing Analytics capabilities to power the next phase of growth. This Staff Marketing Analyst position sits at the intersection of data, marketing, and business strategy-delivering the insights that drive pipeline, accelerate conversion, and optimize customer acquisition across all go-to-market motions.

THE ROLE

As a Staff Marketing Analyst, you’ll own the strategy, architecture, and execution of marketing analytics. You’ll partner closely with Growth, Demand Gen, Digital, and Product Marketing teams to define KPIs, analyze performance, and bring visibility to what’s working and what’s not. Your work will influence campaign spend, GTM roadmap, and executive decision-making.

Key Responsibilities:

• Define and evolve core marketing metrics across the funnel: acquisition, pipeline velocity, ROI, CAC, and attribution.
• Deliver clear, actionable insights through in-depth analysis of cross-channel campaigns (digital, paid, content, lifecycle).
• Build scalable dashboards and automated reporting to support real-time visibility for GTM leaders.
• Partner with RevOps and Sales Analytics to align marketing efforts with revenue impact and customer segmentation.
• Identify optimization opportunities through experimentation frameworks, A/B testing, and customer behavior modeling.
• Develop and maintain clean, well-modeled marketing data sets for long-term scalability and growth analysis.

ABOUT YOU

Required:

• 7+ years of experience in analytics, with a strong track record in Marketing or GTM Analytics at a SaaS or high-growth tech company.
• Advanced SQL skills and deep experience with BI tools like Looker, Mode, or Hashboard. Experience with Python or R a plus.
• Strong understanding of modern SaaS marketing channels and KPIs (e.g. MQL, SQL, pipeline contribution, CAC, LTV).
• Strategic thinker with the ability to translate complex data into simple insights and present them to cross-functional stakeholders.
• Comfortable operating independently in a fast-paced, collaborative environment where priorities evolve quickly.

WHAT’S ON OFFER

• High-impact, high-visibility role with ownership across the full marketing analytics stack.
• Competitive compensation and equity at a top-performing AI-driven SaaS brand.
• Opportunity to shape analytics foundations and influence GTM strategy at scale.
• Collaborative culture, modern tech stack, and hybrid flexibility in SF.

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Staff Marketing Analyst

Location: New York (Hybrid)

Salary: $200,000-$250,000 Base + Bonus + Equity

Join a high-growth SaaS innovator backed by top-tier investors as they scale their Marketing Analytics capabilities to power the next phase of growth. This Staff Marketing Analyst position sits at the intersection of data, marketing, and business strategy-delivering the insights that drive pipeline, accelerate conversion, and optimize customer acquisition across all go-to-market motions.

THE ROLE

As a Staff Marketing Analyst, you’ll own the strategy, architecture, and execution of marketing analytics. You’ll partner closely with Growth, Demand Gen, Digital, and Product Marketing teams to define KPIs, analyze performance, and bring visibility to what’s working and what’s not. Your work will influence campaign spend, GTM roadmap, and executive decision-making.

Key Responsibilities:

• Define and evolve core marketing metrics across the funnel: acquisition, pipeline velocity, ROI, CAC, and attribution.
• Deliver clear, actionable insights through in-depth analysis of cross-channel campaigns (digital, paid, content, lifecycle).
• Build scalable dashboards and automated reporting to support real-time visibility for GTM leaders.
• Partner with RevOps and Sales Analytics to align marketing efforts with revenue impact and customer segmentation.
• Identify optimization opportunities through experimentation frameworks, A/B testing, and customer behavior modeling.
• Develop and maintain clean, well-modeled marketing data sets for long-term scalability and growth analysis.

ABOUT YOU

Required:

• 7+ years of experience in analytics, with a strong track record in Marketing or GTM Analytics at a SaaS or high-growth tech company.
• Advanced SQL skills and deep experience with BI tools like Looker, Mode, or Hashboard. Experience with Python or R a plus.
• Strong understanding of modern SaaS marketing channels and KPIs (e.g. MQL, SQL, pipeline contribution, CAC, LTV).
• Strategic thinker with the ability to translate complex data into simple insights and present them to cross-functional stakeholders.
• Comfortable operating independently in a fast-paced, collaborative environment where priorities evolve quickly.

WHAT’S ON OFFER

• High-impact, high-visibility role with ownership across the full marketing analytics stack.
• Competitive compensation and equity at a top-performing AI-driven SaaS brand.
• Opportunity to shape analytics foundations and influence GTM strategy at scale.
• Collaborative culture, modern tech stack, and hybrid flexibility in NYC.

To Apply for this Job Click Here

To Apply for this Job Click Here

Principal Software Engineer – Data Platform

San Francisco, CA (Remote Eligible – US Only)

$230K-$280K base + equity

Are you ready to lead the design and build of a world-class data platform from the ground up?

A high-growth, product-led tech company is looking for a Principal Software Engineer to lead the build-out of a modern, scalable data platform from the ground up. If you’re excited about solving massive data challenges and shaping the infrastructure that supports real-time analytics and AI/ML at scale, this role is for you.

As the most senior technical IC on the Data Platform team, you’ll partner with leadership across Engineering, Product, Security, and Compliance to design a low-latency, cloud-native data architecture using best-in-class tools like Kafka, Iceberg, ClickHouse, Tinybird, and Snowflake.

Why this role?

• Join a growing Data Platform team
• Own the technical vision and architecture end-to-end
• Tackle petabyte-scale data challenges and real-time streaming use cases
• Work with a cutting-edge tech stack (Kafka, Iceberg, ClickHouse, Snowflake, etc.)
• Drive platform evolution to support AI/ML and company-wide analytics

What You’ll Do

• Design and build a next-gen data platform to power product and internal use cases
• Architect for batch + streaming, scalability, fault tolerance, and low latency
• Lead data modeling, warehousing, governance, and ingestion best practices
• Champion engineering excellence and mentor senior engineers
• Align technical decisions with long-term business strategy
• Optimize for performance, cost, and resiliency in a modern cloud environment

What We’re Looking For

• 8+ years of experience in data engineering or platform architecture
• 5+ years at the Principal Engineer level or equivalent
• Deep expertise with Kafka (and its ecosystem), streaming data systems
• Strong experience with ClickHouse, Iceberg, Snowflake, or similar tools
• Cloud-native architecture expertise (AWS, GCP, or Azure)
• Track record of designing data systems for compliance and governance
• Experience scaling systems to support petabyte-level workloads
• Excellent communication, collaboration, and leadership skills
• Bonus: Experience enabling AI/ML platforms or preparing for IPO-scale growth

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Staff Data Analyst – GTM

Location: Remote
Salary: $200-250k

This fast-growing, Series C cloud platform company is at the forefront of technological innovation, delivering cutting-edge solutions that drive industry transformation. The organization is seeking a highly skilled Staff Data Analyst to lead Go-to-Market (GTM) analytics efforts, enabling strategic growth and turning complex datasets into actionable insights to optimize GTM performance and operational efficiency.

About the Role

This position is central to defining and implementing data strategies that empower GTM teams. By developing metrics, automating reporting, and delivering insightful analyses, the Staff Data Analyst will play a critical role in optimizing growth strategies and ensuring data-driven decision-making.

Key Responsibilities

• Define and implement key GTM metrics to evaluate performance and uncover growth opportunities.
• Conduct in-depth analysis of complex datasets to deliver actionable GTM insights.
• Collaborate with cross-functional teams to identify root causes, refine processes, and inform strategic initiatives.
• Automate reporting workflows and create interactive dashboards to support leadership decision-making.
• Build and enhance datasets for growth optimization and cost reduction initiatives.
• Develop data accessibility solutions, ensuring timely and structured access to insights for all stakeholders.
• Shape the GTM analytics roadmap, aligning data projects with broader organizational goals.

About You

• 6+ years in analytics roles, with expertise in SaaS and product-led growth (PLG) business models.
• Advanced proficiency in SQL and experience with tools such as Looker, Hashboard, or Omni. Familiarity with Python or R and statistical modeling.
• Demonstrated ability to interpret trends, conduct root cause analysis, and deliver data-driven recommendations that influence strategy.
• Strong ability to present complex findings clearly to both technical and non-technical audiences.
• Proven success working in fast-paced, cross-functional environments to drive high-impact outcomes.

This is a unique opportunity to join a dynamic, data-driven organization and make a significant impact on the success of its GTM strategy. If you’re passionate about using data to drive innovation and thrive in a high-growth environment, this role is for you!

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Staff Analytics Engineer

Location: Remote
Salary: $200-250k

Are you a data expert ready to drive transformative analytics at a cutting-edge cloud platform company? This fast-growing Series C innovator is revolutionizing how teams build, preview, and deploy high-performance digital applications.

About the Role

The Staff Analytics Engineer will lead the design and implementation of robust data models and pipelines, enabling business units to uncover insights and make data-driven decisions. This role is a unique chance to collaborate with engineering, product, and business teams, building scalable analytics systems that power operational efficiency and growth.

Key Responsibilities

• Design and maintain scalable data models and pipelines to serve as a single source of truth across the enterprise.
• Develop tools to enhance data accessibility, auditing, and validation, ensuring consistent, trustworthy datasets.
• Partner with cross-functional teams to uncover actionable insights and support decision-making.
• Build self-service analytics tools and dashboards for key stakeholders, streamlining workflows.
• Collaborate on advancing the company’s data platform using cutting-edge tools like dbt, Snowflake, and Superset.
• Lead initiatives to improve data quality, governance, and discoverability, ensuring alignment with business goals.

About You

• 8+ years of experience in analytics engineering or a similar role in a modern tech company.
• Advanced proficiency in SQL, with experience working on complex datasets.
• Expertise in data platforms like Snowflake or BigQuery and transformation tools like dbt.
• Familiarity with programming languages such as Python, Java, or Go.
• Experience with BI tools like Hashboard or Superset, and a strong grasp of schema design and dimensional modeling.
• Strong communication skills and the ability to collaborate in a fast-paced environment.

Be part of a forward-thinking team where data is at the core of every decision. If you’re passionate about transforming data into meaningful insights, this role offers the chance to work on impactful projects, collaborate with top talent, and make a lasting difference.

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