The Data And AI Podcast

This podcast will cover a range of topics such as finding data talent, and AI training. We will also discuss more advanced subjects like assessing the value of your data team, identifying biases in AI and addressing pay gaps in Data and AI.

Latest Episodes

Data and ai podcast: All Episodes

Dive deep into the world of AI, data, and analytics

Episode 21: GenAI breakthroughs, roadblocks and what to learn next

Episode 20: How Incrementality and MMM Are Changing Marketing Analytics

Episode 19: How AI Innovation & Hiring Are Evolving Hand in Hand

Exclusive! Harnham to 15,000: The Shift to Personalisation

Episode 18: Beyond the Numbers: Humanising Your Customer Data

Episode 17: Bridging the Consumer Experience Gap: What Brands Get Wrong

Episode 16: The Past, Present, and Future of Experimentation

Episode 15: Utilising Data for Market Fit

Episode 14: Geospatial Analytics – Past, Present and Future

Episode 13: Democratising Data

Episode 12: How to Build and Retain High-Performing Analytics Teams

Episode 11: Leading with a People-First Approach: Navigating Growth in Data and AI

Episode 10: From Payday Lending to AI: Navigating the Credit Risk Landscape

Episode 9: The State and Future of AI

Episode 8: The Next Data Wave: Emerging Trends in Data Management and Governance

Episode 7: Futurecast: Skillsets, Decisions, and the Role of AI

Episode 6: Getting Into the Data Industry Without a STEM Degree

Episode 5: Diversity Equity & Inclusion – How Data Leaders Can Take Action

Episode 4 – Key Findings from Harnham’s 2023 US Data & AI Salary Guide

Episode 3: Key Findings from Harnham’s 2023 UK Data & AI Salary Guide

Episode 2 – Data Literacy (with Waseem Ali & David Reed)

Episode 1 – Quantifying the Benefit of Data (with Waseem Ali & Craig Civil)

Data Recruitment & AI Talent Solutions

JOIN THE HARNHAM TEAM

LATEST HARNHAM
OPPORTUNITIES

Welcome to a recruitment journey like no other. At Harnham, we're always interested in finding the right people to join our team.

 

Director of Analytics & Data Engineering

San Francisco

$250000 - $280000

+ Advanced Analytics & Marketing Insights

Permanent
San Francisco, California

To Apply for this Job Click Here

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

Senior Software Engineer – CDN & Go

San Francisco

$190000 - $240000

+ Data Engineering

Permanent
San Francisco, California

To Apply for this Job Click Here

Senior Software Engineer – Go (CDN and Distributed Systems)

Remote, US or Canada

$190-204k base + RSUs

A leading cloud infrastructure company is hiring a Senior Software Engineer with strong Go and distributed systems experience to help build and scale its next generation global CDN. This team operates at massive scale, handling billions of requests per day and powering some of the fastest, most reliable experiences on the web.

The Role

You will design and build high performance distributed systems that make the internet faster and more resilient. As part of the CDN Infrastructure group, you will work on projects such as:

  • Evolving an internal CDN into a production ready customer platform
  • Designing systems that support safe, incremental customer migration
  • Scaling redirect handling from thousands to billions of requests
  • Implementing HTTP/3 and exploring post quantum cryptography
  • Driving performance improvements across the edge network

This role is ideal for engineers who enjoy deep technical challenges and want to influence how modern web infrastructure operates at global scale.

What We Are Looking For

  • Strong experience with distributed systems, CDN, caching, or networking infrastructure
  • Production Go experience. C and C plus plus backgrounds transfer well
  • Solid understanding of the HTTP layer and cloud networking
  • Experience operating systems at scale in a cloud or infra environment
  • Bonus: Linux tuning, performance optimization, or open source work

To Apply for this Job Click Here

AI Software Engineer

Remote

$120000 - $160000

+ Data Engineering

Permanent
Ohio

To Apply for this Job Click Here

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

To Apply for this Job Click Here

Senior Software Engineer – Go

San Francisco

$190000 - $240000

+ Data Engineering

Permanent
San Francisco, California

To Apply for this Job Click Here

Senior Software Engineer – Go (CDN / Distributed Systems)

Remote – US or Canada

$190-240k base + RSUs

A market leader in cloud infrastructure and developer tooling is seeking a Senior Software Engineer (Go) to help design, scale, and optimize a next-generation global CDN.

This team builds the backbone of high-performance web delivery-handling billions of requests per day and powering some of the fastest, most reliable online experiences in the world.

If you’re passionate about distributed systems, high-performance networking, and building software that powers millions of developers, this is an opportunity to have a direct impact on how the web runs at scale.

The Role

As part of the CDN Infrastructure group, you’ll build and enhance distributed systems that make the internet faster and more resilient. You’ll design large-scale systems, write production-grade code, and collaborate closely with product and infrastructure teams to deliver high-impact improvements in routing, caching, and network performance.

You’ll work across key initiatives that include:

  • Evolving an internal CDN framework into a fully production-grade product that customers can use directly.
  • Designing systems that enable incremental customer migration onto the platform.
  • Scaling redirect handling from thousands to billions of requests per site.
  • Adding HTTP/3 support and exploring post-quantum cryptography for next-generation security.
  • Driving performance optimization across the edge network and core infrastructure.

This is a role for engineers who love building systems that operate at global scale, thrive on technical depth, and want to shape the future of web infrastructure.

What We’re Looking For

We’re looking for backend engineers with strong distributed systems experience and the ability to design, implement, and scale complex infrastructure.

You’ll bring:

  • Proven experience with distributed systems, CDN, caching, or ingress infrastructure.
  • Go experience in production (C/C++ backgrounds highly transferable).
  • Deep understanding of the HTTP layer and modern cloud networking.
  • Experience running systems at scale in a cloud product or infrastructure environment.
  • Bonus: experience in Linux kernel tuning, performance optimization, or relevant open-source contributions.

This role is ideal for engineers who are hands-on, performance-oriented, and eager to work on problems of scale.

Why Join

You’ll join a team that values technical excellence, autonomy, and impact-where your work directly shapes how developers build and deploy at the edge.

We operate globally, handle traffic at massive scale, and give engineers the ownership to build systems that redefine what’s possible in web performance and reliability.

We’re a remote-first organization that empowers engineers to make meaningful architectural decisions, ship quickly, and see their impact on real-world products at scale.

To Apply for this Job Click Here

Senior Software Engineer – Lua

San Francisco

$200000 - $280000

+ Data Engineering

Permanent
San Francisco, California

To Apply for this Job Click Here

Senior Software Engineer – Lua

Remote (US) | $200,000 – $280,000 base + equity + benefits

A market leader in cloud infrastructure and developer tooling is seeking a Senior Software Engineer to help design, scale, and optimize a next-generation global CDN. This team builds the backbone of high-performance web delivery-handling billions of requests per day and powering some of the fastest, most reliable online experiences in the world.

The Role

As part of the CDN Infrastructure team, you’ll build and enhance distributed systems that make the internet faster and more resilient. You’ll design large-scale systems, write production-grade code, and work closely with product and infrastructure engineers to deliver high-impact improvements in routing, caching, and network performance.

What You’ll Do

  • Design, implement, and optimize new CDN features and edge performance improvements
  • Diagnose and reduce latency across a global network serving petabytes of data
  • Improve reliability and scalability for billions of daily requests
  • Build internal tools and workflows for infrastructure developers (primarily in Lua)
  • Collaborate across teams to deliver next-generation web infrastructure

What We’re Looking For

  • 5+ years of professional experience with Lua
  • Deep understanding of HTTP, web servers, and CDN architecture
  • Proven experience with distributed systems and large-scale performance optimization
  • Strong problem-solving skills and a passion for experimentation
  • Bonus: experience with Golang or other backend languages

Why Join

  • Work on systems that serve petabytes of data and billions of requests daily
  • Competitive compensation including equity and full health coverage
  • Flexible, remote-friendly work environment
  • Opportunity to shape the next generation of internet-scale infrastructure

To Apply for this Job Click Here

Senior Machine Learning Scientist

San Francisco

$180000 - $200000

+ Data Science & AI

Permanent
San Francisco, California

To Apply for this Job Click Here

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.

To Apply for this Job Click Here

Staff Growth Analyst

San Francisco

$20000 - $240000

+ Advanced Analytics & Marketing Insights

Permanent
San Francisco, California

To Apply for this Job Click Here

Staff Growth Product Analyst

US Remote

$200-240k base + equity

About the Role:

We’re looking for a Staff Growth Product Analyst to drive impactful growth analytics for an innovative AI-driven development platform that’s transforming how developers create and deploy user interfaces. Leveraging cutting-edge AI technologies, this platform enables rapid prototyping and significantly accelerates product development, enhancing user growth, engagement, and overall developer experience.

Role Highlights:

  • Deep dive into user behaviors, journeys, and growth funnels to uncover opportunities for enhanced engagement and acquisition.
  • Generate actionable insights aimed at boosting critical growth metrics like DAU, MAU, and user retention.
  • Design, execute, and analyze A/B tests to drive informed decision-making and product improvements.
  • Influence strategic decision-making through rigorous data analysis and compelling recommendations.
  • Collaborate cross-functionally with product managers, engineers, data scientists, and growth marketers to drive continuous product improvement and iteration.

Who You Are:

  • You have 7+ years of proven expertise in growth and product analytics, ideally within early-stage or innovation-driven product environments.
  • You’re adept at conducting thorough funnel analyses, spotting rapid experimentation opportunities, and recommending actionable product enhancements.
  • You thrive on solving complex analytical problems with high energy and intellectual rigor.
  • Experienced with modern data stack (e.g., Snowflake, dbt, Preset, Hashboard, Kafka, Fivetran, Omni, Hex, Sigma, SQL, Python).
  • You have previous experience (or a strong interest) in working with AI or machine learning-driven products.

Ideal Fit: You’re a driven, collaborative analytics expert passionate about influencing groundbreaking products. Excited by high-paced, innovative environments, you’re motivated by measurable impact and shaping the future of developer-focused, AI-powered technologies.

To Apply for this Job Click Here

Principal Software Engineer – Data Platform

San Francisco

$230000 - $280000

+ Data Engineering

Permanent
San Francisco, California

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

To Apply for this Job Click Here