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Lead Product Manager, AI Products

Location: Remote (U.S.) with strong preference for candidates in the Dallas-Fort Worth / Fort Worth area
Compensation: Up to $250,000 base salary + bonus/equity potential
Work Authorization: U.S. Citizen or Green Card Holder

About the Opportunity

We are conducting a confidential search for a Lead Product Manager, AI products to drive the strategy, execution, and evolution of AI-powered products that transform complex operational and real-world data into actionable business insights.

This role is ideal for a product leader who has successfully built or launched new products, features, or business lines from concept to adoption, while also demonstrating strong judgement in scaling and optimizing existing products. While greenfield experience is important, this is not a blank-page environment. During the first 6-12 months, you’ll inherit and improve existing products while helping shape the next generation of AI-enabled solutions.

We’re looking for someone who combines strong product intuition, AI fluency, and experience working with tangible, physical-world products, data, or operations. Candidates whose experience is exclusively rooted in legacy enterprise software environments, particularly traditional oil & gas software with outdated workflows and design patterns, are unlikely to be a fit.

What You’ll Do

• Own product strategy, roadmap, and execution across a portfolio of AI-powered products.
• Lead the development of new product initiatives from concept through launch and adoption.
• Optimize and scale existing products by identifying user needs, workflow improvements, and business opportunities.
• Partner closely with engineering, data science, design, operations, and executive stakeholders to deliver measurable outcomes.
• Define product priorities using customer insights, data, and business objectives.
• Drive adoption, engagement, and product performance through continuous iteration and feedback loops.
• Evaluate and implement AI capabilities that create meaningful user and business value.
• Establish scalable product frameworks, processes, and best practices as the product organization grows.

What We’re Looking For

Required Experience

• Proven product management experience owning strategy, roadmap, and execution for complex software products.
• Demonstrated 0→1 or greenfield product experience, including launching a new product, platform, or business initiative. This experience may have been gained within a startup or as part of a new product line within an established company.
• Success managing products through multiple stages of maturity, including launch, optimization, growth, and scale.
• Experience building products that serve multiple user personas and operational workflows.
• Strong analytical mindset with a track record of driving measurable business and customer outcomes.
• Ability to thrive in fast-moving, ambiguous environments and align cross-functional teams around a clear product vision.

AI Product Experience

Candidates will be evaluated on:

• The quality and sophistication of AI-powered products they have shipped.
• The measurable business or user value created by those AI capabilities.
• Their personal AI fluency and ability to leverage AI effectively in product strategy, decision-making, and execution.

Preferred Background

• Experience working with physical-world products, data, operations, or industrial environments, where software is closely connected to tangible assets, processes, or outcomes.
• Product experience in industries such as industrial technology, manufacturing, logistics, field operations, energy, infrastructure, engineering, physical sciences, or similar operational domains.
• A background in STEM or the physical sciences is highly valued and may serve as a strong proxy for real-world operational exposure.
• Experience building AI/ML-driven products, data platforms, or intelligent workflow tools.
• B2B SaaS and enterprise software experience.

Ideal Candidate Profile

The strongest candidates will demonstrate:

• 3-5+ years in a product role where they were able to see the results of what they built, iterate, and drive outcomes over time.
• Experience launching something new while also improving and scaling existing products.
• Strong customer empathy and product judgment rooted in solving real-world operational problems.
• A modern product mindset with an appreciation for intuitive design and user-centered workflows.
• The ability to connect AI capabilities to tangible business value rather than pursuing AI for its own sake.

If you’re excited by the opportunity to build and scale AI-powered products that solve meaningful real-world problems, we’d love to start a conversation.

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Data Analyst

London/Hybrid

Up to £45,000

Overview

London (Hybrid, 4 days in office) | £45,000 to £50,000 + Bonus + Benefits

This is an exciting opportunity for a Data Analyst / Analytics Engineer to join a specialist analytics consultancy supporting a high-profile communications function. You’ll work across a range of digital and brand data sources, helping turn complex datasets into meaningful insights while developing your technical skills in modern analytics tooling, data transformation, and text analytics.

The Company

They are a specialist analytics consultancy that helps brands understand performance, audience engagement, and communications effectiveness through data. Working with a broad mix of digital, social, and research datasets, they focus on delivering actionable insights rather than managing underlying data infrastructure.

Their collaborative analytics team combines strong storytelling and stakeholder engagement with technical expertise. As data volumes continue to grow, they are investing in stronger analytics engineering capabilities to improve data processes and unlock new opportunities from their data assets.

The Role

As a Data Analyst / Analytics Engineer, you will play a key role in connecting, validating, transforming, and analysing data from multiple sources. You’ll work closely with analysts and stakeholders to support high-impact projects while helping improve data workflows and capabilities.

Key responsibilities include:

• Building and maintaining SQL and Python-based analytical solutions
• Connecting and transforming data from multiple digital and research sources
• Validating, quality assuring, and maintaining reliable datasets
• Supporting data movement and analytics workflows within Snowflake
• Working on a text classification project focused on analysing online content and measuring brand prominence
• Collaborating with analysts to deliver data that supports strategic recommendations
• Identifying opportunities to improve data processes and ways of working
• Supporting a range of analytics projects across communications and brand measurement

Your Skills & Experience

You will bring:

• Strong commercial experience using SQL
• Working knowledge of Python for data analysis and transformation
• Experience working with BI and reporting tools
• An interest in learning and developing skills in dbt
• Experience working with complex datasets from multiple sources
• Strong stakeholder management and communication skills
• Experience collaborating across teams, functions, or agency environments
• A proactive approach to problem-solving and continuous improvement

Experience with the following would be beneficial:

• Snowflake
• ThoughtSpot, Tableau, or similar BI platforms
• Sprinklr
• Agency-side analytics environments
• Brand, communications, social media, or digital analytics

What They Offer

• Salary of £45,000 to £50,000 depending on experience
• Annual bonus, typically around 8%
• Employee-owned business model with greater employee involvement in company success
• Tax advantages on a portion of the annual bonus
• AXA dental insurance
• Hybrid working with one flexible home-working day per week
• Exposure to a wide variety of analytics projects and stakeholders
• Ongoing technical development across modern analytics tools and methodologies
• Clear opportunities to expand your technical and commercial impact within the team

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DATA ANALYST
LONDON/HYBRID
UP TO £45,000

This is an opportunity to join a highly regarded analytics environment where you will play a key role in shaping how data is transformed and used to drive decision making. Sitting at the intersection of analytics and data engineering, this position offers hands on exposure to modern data tooling alongside the chance to influence how data is structured, accessed and interpreted.

ROLES AND RESPONSIBILITIES:
The Data Analyst will:

• Build, optimise and maintain SQL based data transformations within a cloud data warehouse environment including Snowflake
• Connect and consolidate multiple data sources such as web analytics, social data, social listening and brand research
• Support the development of scalable and reliable data pipelines, improving existing processes and identifying efficiencies
• Contribute to a text classification project analysing online content to evaluate brand presence and quality
• Validate and quality check datasets to ensure accuracy and consistency across reporting outputs
• Work closely with analysts to enable deeper insight generation and more robust reporting
• Gradually take ownership of projects, proactively identifying opportunities for new analysis and process improvement

YOUR SKILLS AND EXPERIENCE:
The ideal candidate will have the following skills and experience:

• Strong commercial experience writing efficient and reliable SQL, including complex joins, aggregations and working with semi structured data
• Experience working within a cloud data warehouse environment such as Snowflake, BigQuery or similar
• Working knowledge of Python for data analysis and manipulation is desirable
• Understanding of data pipelines and transformation workflows, with an interest in developing further using tools such as dbt
• Experience with BI and data visualisation tools such as ThoughtSpot, Tableau or Power BI
• Ability to validate data and apply quality assurance processes
• Confident communicator, comfortable working with stakeholders across teams to translate data into insight

APPLY BELOW

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Data Analyst

Permanent role – Up to £45k base + bonus + benefits

Central London – Hybrid Working

Role Summary

Our client is looking for a skilled Data Analyst to join their growing team. This role is ideal for someone who enjoys working with complex datasets, building reliable data pipelines, and turning data into meaningful insights that support strategic business decisions.

You’ll work closely with stakeholders across the business to analyse data, improve reporting, and deliver clear, actionable intelligence.

Requirements

• Strong SQL skills, including CTEs, joins, window functions and aggregations.
• Experience working with cloud data platforms such as Snowflake, BigQuery, Redshift, Databricks or similar.
• Experience building and maintaining data transformation pipelines.
• Knowledge of dbt or willingness to learn.
• Experience using GitHub or similar version control tools.
• Python experience (Pandas or similar) for data manipulation and analysis.
• Experience with data visualisation tools such as Tableau, Power BI or ThoughtSpot.
• Strong analytical, problem-solving and communication skills.
• Excellent written and spoken English.

What Will Make You Stand Out

• Experience working with semi-structured data.
• Knowledge of data validation and quality assurance frameworks.
• Experience with digital analytics or marketing data platforms.
• Ability to communicate complex data through compelling visualisations and storytelling.
• A collaborative approach and a proactive mindset.

If you are interested in the role please apply, to follow up please message me on LinkedIn.

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Senior Director, Data and Analytics
London
Up to £165,000
This is a high-impact leadership opportunity to shape and deliver a data and analytics strategy within a complex, international organisation. You will sit at the forefront of data-driven transformation, leading a multidisciplinary team and embedding analytics, AI, and data governance across the business.
The Company
They are a globally connected organisation operating within a highly regulated and commercially driven sector. With a strong focus on strategic partnerships and operational efficiency, they play a key role in managing complex supply chains and delivering value across international markets.
The business is evolving its data capabilities to unlock greater insight, support decision-making, and enhance performance. This role will be central to that transformation, working closely with senior leadership and cross-functional teams.
The Role

• Define and execute the enterprise data, analytics, and AI strategy aligned to business objectives
• Lead and develop a multidisciplinary team spanning data engineering, analytics, and data science
• Establish scalable data platforms, architecture, and pipelines to support business growth
• Drive adoption of analytics and business intelligence across the organisation
• Translate complex data into actionable insights to support strategic and commercial decisions
• Identify and deliver AI and machine learning use cases that improve efficiency and performance
• Implement robust data governance frameworks to ensure data quality, consistency, and compliance
• Partner with senior stakeholders across a matrix environment to influence and deliver change

Your Skills and Experience

• Strong track record in leading data, analytics, or insights functions at a senior level
• Experience operating within complex or matrix organisations with multiple stakeholders
• Expertise across analytics, business intelligence, and advanced analytics or data science
• Proven ability to define and deliver data strategy and organisational transformation
• Experience leading and scaling high-performing teams across multiple data disciplines
• Strong stakeholder management skills with the ability to influence at executive level
• Commercial mindset with the ability to translate data into business value

What They Offer

• Salary up to £165,000
• Opportunity to shape and lead a business-critical data function
• Senior leadership exposure and influence across the organisation
• A collaborative and forward-thinking environment focused on innovation and data maturity

How to Apply
If you are interested in leading a data and analytics function with significant strategic impact, please apply with your CV to learn more.

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Senior Director, Technology & Product

London

Up to £165,000

The Opportunity

We’re partnering with a global healthcare sourcing and technology organisation seeking a Senior Director, Technology & Product to lead product strategy, technology innovation, and engineering delivery.

This is a highly strategic leadership role where you’ll oversee product, engineering, AI integration, and digital transformation initiatives. Working closely with senior stakeholders, you’ll drive the evolution of a proprietary technology platform while leading high-performing teams and shaping the business’s long-term technology vision.

Key Responsibilities

• Define and drive the overall technology and product strategy
• Lead engineering, product, and technical delivery teams
• Own the product roadmap from discovery through to execution
• Partner with senior stakeholders to translate business objectives into technology solutions
• Drive AI integration and innovation across core platforms
• Establish technical standards, governance, and best practices
• Develop KPIs and performance metrics to measure success
• Manage technology budgets, vendors, and resource planning
• Lead and develop high-performing cross-functional teams
• Ensure compliance, security, business continuity, and risk management requirements are met

What We’re Looking For

• Bachelor’s degree or equivalent experience
• 10-15 years’ experience in senior technology and/or product leadership roles
• Proven track record leading product and engineering functions
• Experience managing large-scale technology programmes and digital transformation initiatives
• Strong commercial acumen and strategic thinking skills
• Experience leading cross-functional teams within a matrix organisation
• Strong stakeholder management and influencing abilities
• Knowledge of AI technologies and product innovation
• Excellent organisational, project management, and communication skills
• Experience within healthcare or highly regulated industries is advantageous

Ways of Working

• Executive leadership position with significant business influence
• Cross-functional collaboration across product, technology, AI, and operations
• Opportunity to shape long-term business and technology strategy
• High level of ownership and decision-making responsibility
• Innovation-focused environment with strong investment in technology

Benefits

• Competitive executive-level salary and benefits package
• Leadership opportunity within a global organisation
• Significant influence on technology and product strategy
• Exposure to complex digital transformation programmes
• Opportunity to drive AI adoption and innovation
• Collaborative executive leadership team
• Long-term career growth and impact

How to Apply

If you’re an experienced technology and product leader looking to drive innovation and business transformation at scale, we’d love to hear from you.

Apply with your CV or pop me a message!

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Staff Software Engineer, Full Stack (Backend-Focused)

Compensation

• Base Salary: $180,000-$260,000 USD (U.S.) / $175,000-$230,000 CAD (Canada), depending on location
• Bonus: 20%
• Equity: RSUs
• Work Style: Hybrid (3 days/week)
• Visa Sponsorship: Available

About the Opportunity

An innovative, publicly traded AI software company is seeking a Staff Software Engineer (Backend-Focused Full Stack) to help build and scale the core platform powering next-generation document intelligence and search capabilities.

Operating at the intersection of artificial intelligence, large-scale data processing, and enterprise knowledge management, the organization develops sophisticated technology that enables customers to extract, analyze, benchmark, and search highly complex documents with exceptional accuracy and speed.

This is a high-impact individual contributor position where you’ll influence architecture, own critical backend systems, and collaborate with AI researchers, product leaders, and domain specialists to build technology that solves technically challenging real-world problems.

Why This Role?

• Build foundational backend infrastructure supporting AI-powered products
• Own architecture and technical direction for highly scalable systems
• Work alongside experts in AI, machine learning, and search technologies
• Influence engineering strategy without people management responsibilities
• Join a fast-growing, well-funded public technology company investing heavily in AI

What You’ll Do

• Design and develop scalable backend services and APIs
• Architect distributed systems supporting large-scale document processing
• Build high-performance data pipelines and backend infrastructure
• Create clean, extensible API frameworks
• Integrate backend systems with internal AI/ML services
• Optimize performance across data-intensive workloads
• Contribute to frontend development using React and TypeScript when needed
• Improve developer tooling, CI/CD pipelines, and production infrastructure
• Participate in architecture reviews and uphold engineering best practices

Typical Time Allocation

• 70% Backend engineering & API development
• 20% System architecture & performance optimization
• 10% Frontend development & developer experience improvements

First-Year Priorities

• Scale core backend infrastructure
• Expand APIs supporting AI-driven product capabilities
• Improve reliability and performance of data-intensive services
• Enhance integrations with machine learning pipelines
• Increase developer productivity through tooling and automation
• Deliver new customer-facing platform capabilities

What Success Looks Like

Within your first year, you will have:

• Influenced long-term platform architecture
• Built reliable backend systems operating at scale
• Accelerated delivery of AI-powered product features
• Improved application performance and engineering efficiency
• Become a trusted technical leader across engineering teams

Ideal Background

• 7-10+ years of software engineering experience
• Strong backend-focused full-stack expertise
• Experience designing scalable APIs and distributed systems
• Background building data-intensive or AI-enabled platforms
• Product company experience strongly preferred

Required Skills

• Node.js, Python, or Go
• REST API design
• System architecture
• SQL & NoSQL databases
• TypeScript
• React
• AWS, GCP, or similar cloud platforms
• Docker
• Kubernetes
• Excellent communication and ownership mindset

Preferred Experience

• Microservices architecture
• Event-driven systems
• Message queues
• CI/CD automation
• Large-scale data processing
• Performance optimization
• Single-tenant architectures
• Modern developer tooling (monorepos, profiling, build tooling)
• Exposure to AI, search, analytics, or knowledge management platforms

Resume Highlights We’d Love to See

• Ownership of large-scale backend platforms
• Strong API and distributed systems design experience
• Demonstrated impact building data-heavy or AI-enabled products
• Evidence of technical leadership through architecture and delivery

Ideal Candidate Traits

• Thrives in fast-paced product environments
• Strong ownership mentality
• Excellent systems thinking
• Comfortable collaborating across engineering, AI, and product teams
• Pragmatic problem solver focused on delivering scalable solutions

Candidates Less Likely to Be a Fit

• Primarily frontend/UI-focused engineers
• Limited backend architecture experience
• Minimal experience building scalable distributed systems
• Preference for narrowly defined responsibilities over broad technical ownership

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Principal AI Engineer

Brooklyn, NY (Hybrid) – 3 Days Onsite

$230,000 – $250,000 Base + Bonus + RSUs (~$350K Total Comp)

THE COMPANY

Harnham is partnering with a global leader in professional software solutions across legal, tax, accounting, and audit. Their products power professionals responsible for some of the world’s most critical business decisions.
This opportunity sits within the Cloud Audit organization, a connected platform for B2B usages. As the organization continues its transformation into an AI-native engineering environment, the team is investing heavily in AI-powered experiences, platform integrations, and intelligent workflow automation.
This role will play a critical part in defining the architecture and AI strategy that connects Cloud Audit Suite with AI-powered audit solutions and other intelligent products, helping shape the future of audit technology at enterprise scale.

RESPONSIBILITIES

• Own architecture and technical design across the Cloud Audit platform.
• Define and drive AI integration strategies across audit and assurance products.
• Lead integration efforts between multiple B2B shared platform services.
• Design scalable AI orchestration frameworks supporting agents, LLM workflows, tool calling, and multi-step reasoning systems.
• Establish standards and best practices for AI-native application development, experimentation, and platform architecture.
• Partner closely with Product, AI Labs, UX, Infrastructure, and Engineering leadership to execute strategic initiatives.
• Architect high-throughput distributed systems handling millions of documents and large-scale audit workloads.
• Drive platform reliability, observability, resiliency, and performance optimization initiatives.
• Design reusable APIs, shared services, and platform components to support multiple products and engineering teams.
• Mentor senior and staff engineers while fostering an AI-forward engineering culture.
• Help define and execute the long-term technical roadmap for Cloud Audit Suite.

SKILLS AND EXPERIENCE

• BS degree in Computer Science, Computer Engineering, or a related technical discipline.
• 8-10+ years of experience in software engineering, architecture, or platform engineering roles.
• Deep expertise with C#, .NET, and ASP.NET Core.
• Strong Python experience supporting AI, machine learning, or intelligent application workflows.
• Experience designing and operating large-scale distributed systems and microservices architectures.
• Strong full-stack development background utilizing technologies such as React, Angular, TypeScript, JavaScript, HTML, and CSS.
• Experience designing and integrating scalable APIs and enterprise platform services.
• Hands-on experience with AWS cloud infrastructure.
• Strong experience with SQL Server, PostgreSQL, or similar database technologies.
• Experience architecting and operating production AI systems utilizing LLMs, agents, retrieval systems, and AI-native application patterns.
• Proven track record of owning enterprise-scale systems from architectural design through long-term production operation.
• Excellent communication and stakeholder management skills.
• Experience leading technical initiatives across multiple products and engineering organizations.

PREFERRED EXPERIENCE

• Experience integrating OpenAI, Anthropic, or other production-grade LLM providers.
• Knowledge of agent architectures, MCP servers, AI orchestration frameworks, and AI platform design.
• Experience with vector databases, embeddings, semantic search, and retrieval architectures.
• Familiarity with actor-model frameworks such as Orleans or Akka.
• Experience designing scalable CI/CD pipelines using GitHub Actions or similar technologies.
• Experience supporting applications in highly regulated industries such as audit, tax, finance, legal, or compliance.
• Knowledge of AI reliability, evaluation, testing, governance, and safety frameworks.
• Experience designing systems that account for non-deterministic AI behavior.
• Customer-facing technical leadership experience.

BENEFITS

The compensation package includes a competitive base salary, annual bonus, equity package with a three-year vesting schedule, and a comprehensive benefits package.

HOW TO APPLY

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

KEY TERMS

Artificial Intelligence | AI Platform Engineering | Cloud Audit | Machine Learning | LLMs | AI Agents | Agentic AI | C# | .NET | ASP.NET Core | Python | AWS | PostgreSQL | Distributed Systems | Microservices | Enterprise Architecture | API Design | Platform Engineering | AI Orchestration | MCP | Semantic Search | Vector Databases | Audit Technology | SaaS | Technical Leadership | Principal Engineer

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