data & AI
Diversity Report

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Lead Marketing Analyst

Salary: Up to £100,000 -£120,000

Location: Remote

We’re partnering with a leading name in digital entertainment, renowned for creating deep, engaging products across PC, console, mobile, and subscription platforms. With millions of users worldwide, they’re seeking a hands-on Lead Marketing Analyst to drive smarter decisions across their ecosystem.

About the Role:

You’ll work across web, app, and digital products – not just reporting, but shaping how players engage, subscribe, and stay connected. You’ll be leading marketing analytics projects within the business, covering areas like uplift, LTV, incrementality, MMM, and attribution, to generate actionable insights that influence strategy at scale.

What You’ll Need:

• Strong SQL skills and expertise in data visualization
• Proven B2C analytics experience (subscription focus essential)
• Experience across multiple platforms – web, app, PC (not just web analytics)
• Experience driving marketing analytics projects (uplift, LTV, incrementality, MMM, attribution)
• Background in mobile gaming or consumer app
• Experience in a start-up or scale-up environment is a plus

If you’re ready to make an impact in a fast-growing digital entertainment company, send your CV to register your interest.

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Senior Analytics Engineer

Remote, US based

$160k-$175k base salary

A mission driven SaaS company supporting thousands of nonprofit organizations is scaling its data and analytics capability. The platform powers donor management, fundraising, and payments, helping nonprofits strengthen communities and drive measurable impact. As the business grows, data is becoming central to how decisions are made across Finance, GTM, and Product.

This is an opportunity to step into a high ownership analytics engineering role where your work directly influences business strategy and execution.

The Role

As a Senior Analytics Engineer, you will own the analytics layer end to end. This role blends data modeling, analytics engineering, reporting, and stakeholder partnership, with a clear mandate to move the organization from reactive reporting to insight led decision making.

You will be embedded within the Finance organization and work closely with leaders across Finance, Sales, GTM, RevOps, and Product. This is a senior individual contributor role with a clear path toward people leadership as the data function matures.

What You Will Do

• Own the analytics stack from data modeling in Snowflake through to dashboards and reporting in Metabase
• Design and maintain high quality data models that power trusted, scalable analytics
• Lead the migration away from legacy BI tools and establish a single source of truth
• Build self service dashboards for Finance, GTM, RevOps, and Product stakeholders
• Partner with business leaders to translate questions into durable analytics solutions
• Proactively surface insights that influence planning, forecasting, and strategic decisions
• Improve data quality, consistency, and usability across the analytics layer
• Define analytics standards, tooling, and best practices as the function evolves
• Support the transition toward predictive and forward-looking analytics over time

What We Are Looking For

• 5-7+ years of experience in analytics engineering, analytics, or data analysis
• Advanced SQL skills with hands on experience in Snowflake
• Strong experience building dashboards in Metabase
• Proven ability to own data models and analytics foundations end to end
• Experience working cross functionally with Finance, Sales, GTM, RevOps, and Product
• Comfort operating independently and taking full ownership of analytics domains
• Experience with dbt, forecasting, experimentation, or predictive analytics is a plus
• Interest in modern data tooling and AI enabled analytics
• Strong communication skills and ability to work effectively with non technical stakeholders

Why This Role

This role is ideal for a Senior Analytics Engineer who wants ownership, visibility, and real influence. You will help shape how data is used across a growing SaaS organization while supporting a meaningful social mission, with the opportunity to grow into leadership as the team scales.

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Data Engineering Manager

Location: Remote, US based

Salary: $200-250k Base Salary

We are partnering with a fast growing company at the intersection of fintech, gaming, and digital commerce to hire a Data Engineering Manager. This leader will own the company wide data strategy, data ecosystem, and data organization.

If you have built modern data platforms in regulated financial environments and want to shape the future of real time digital economies, this role offers company level impact.

The Opportunity

You will turn data into a strategic, revenue enabling asset by architecting and running a modern data stack that powers real time analytics, forecasting, ML insights, and regulatory reporting. This includes building semantic layers, unified source of truth datasets, experimentation frameworks, and high-quality telemetry.

You will oversee the full data lifecycle so product, commercial, risk, and compliance teams have timely, trusted data that drives GTM strategy, financial planning, customer analytics, churn modeling, fraud detection, and product optimization.

What You Will Lead

• Enterprise data strategy, roadmaps, data product vision, and multi year investment planning
• Data governance including cataloging, lineage, metadata, SLAs, access controls, and auditability, plus standardized KPIs and metric definitions
• Modern data architecture including real time pipelines, event streaming, warehousing, lakes, modeling, orchestration, and CI/CD for analytics and ML
• Analytics leadership across BI, self service, dashboarding, reporting, product analytics, forecasting, experimentation, and cohort analysis
• Data science enablement for predictive models, risk scoring, automated decisioning, and personalization, with infrastructure to deploy models
• Team leadership across data engineering, BI, analytics, and applied science including hiring, mentorship, operational rigor, and quality standards
• Cross functional partnership with Product, Engineering, FP&A, Compliance, and GTM to support product innovation, financial modeling, AML and KYC workflows, and market expansion
• Data activation through dashboards, workflow automation, internal data apps, and decision support tools

What You Bring

• 10+years in data with at least 3 in senior leadership
• Experience in high growth fintech, payments, or regulated financial services
• Proven ability to build and scale enterprise data ecosystems
• Expertise in data governance, quality, and regulatory compliance including AML and KYC
• Strong leadership and communication skills
• Technical depth in cloud warehouses, modeling, ETL and ELT, orchestration, and BI
• Strong SQL and familiarity with Python
• Experience with AWS data services and infrastructure as code
• Bonus: crypto, gaming, or internal tooling experience

Why This Role

Join a company shaping next generation digital commerce and build the data function for a global, highly regulated business. You will have full ownership, executive visibility, and the mandate to design a data organization that enables innovation at scale.

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Director of Analytics and Data Engineering

Location: Remote, US based

Salary: $250-280k Base Salary

We are partnering with a fast growing company at the intersection of fintech, gaming, and digital commerce to hire a Director of Analytics and Data Engineering. This leader will own the company wide data strategy, data ecosystem, and data organization.

If you have built modern data platforms in regulated financial environments and want to shape the future of real time digital economies, this role offers company level impact.

The Opportunity

You will turn data into a strategic, revenue enabling asset by architecting and running a modern data stack that powers real time analytics, forecasting, ML insights, and regulatory reporting. This includes building semantic layers, unified source of truth datasets, experimentation frameworks, and high-quality telemetry.

You will oversee the full data lifecycle so product, commercial, risk, and compliance teams have timely, trusted data that drives GTM strategy, financial planning, customer analytics, churn modeling, fraud detection, and product optimization.

What You Will Lead

• Enterprise data strategy, roadmaps, data product vision, and multi year investment planning
• Data governance including cataloging, lineage, metadata, SLAs, access controls, and auditability, plus standardized KPIs and metric definitions
• Modern data architecture including real time pipelines, event streaming, warehousing, lakes, modeling, orchestration, and CI/CD for analytics and ML
• Analytics leadership across BI, self service, dashboarding, reporting, product analytics, forecasting, experimentation, and cohort analysis
• Data science enablement for predictive models, risk scoring, automated decisioning, and personalization, with infrastructure to deploy models
• Team leadership across data engineering, BI, analytics, and applied science including hiring, mentorship, operational rigor, and quality standards
• Cross functional partnership with Product, Engineering, FP&A, Compliance, and GTM to support product innovation, financial modeling, AML and KYC workflows, and market expansion
• Data activation through dashboards, workflow automation, internal data apps, and decision support tools

What You Bring

• 10+years in data with at least 3 in senior leadership
• Experience in high growth fintech, payments, or regulated financial services
• Proven ability to build and scale enterprise data ecosystems
• Expertise in data governance, quality, and regulatory compliance including AML and KYC
• Strong leadership and communication skills
• Technical depth in cloud warehouses, modeling, ETL and ELT, orchestration, and BI
• Strong SQL and familiarity with Python
• Experience with AWS data services and infrastructure as code
• Bonus: crypto, gaming, or internal tooling experience

Why This Role

Join a company shaping next generation digital commerce and build the data function for a global, highly regulated business. You will have full ownership, executive visibility, and the mandate to design a data organization that enables innovation at scale.

To Apply for this Job Click Here

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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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To Apply for this Job Click Here

Staff Machine Learning Scientist

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

Salary: $200-260k base + Equity

A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Staff 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

• 7-10 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 Product Analyst

Location: San Francisco (Remote Eligible)

Salary: $200K-$240K base + Equity

We’re hiring a Staff Product Analyst for a hyper-growth, Series E AI company valued at $3B+. This is an opportunity to play a key role in shaping product strategy and growth by leveraging data to drive decisions, optimize user experiences, and unlock new opportunities.

What You’ll Do:

• Shape product strategy with data-driven insights – Define key metrics, track user behavior, and identify trends that impact engagement and retention.
• Deep-dive into user journeys – Uncover friction points and growth levers to enhance adoption, conversion, and retention.
• Optimize experimentation and A/B testing – Design and analyze tests to improve product features, pricing, and personalization strategies.
• Develop self-service analytics tools – Build dashboards and automated reporting to empower teams with real-time data.
• Partner with Product, Engineering & Leadership – Translate complex data into clear, actionable recommendations to improve product performance and business outcomes.

What We’re Looking For:

• 7+ years of experience in Product Analytics, preferably within high-growth tech companies.
• Expert SQL skills and experience working with large-scale product datasets.
• Proficiency in Python or R, with a strong foundation in statistical analysis and experimentation.
• Hands-on experience with A/B testing methodologies and user segmentation.
• Experience with ELT data modeling and BI tools like Looker, Omni, or Hashboard.
• Strong executive communication skills, with the ability to influence product decisions through data.
• Thrives in a fast-paced, high-impact environment, with a passion for uncovering insights that drive product growth.

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