To Apply for this Job Click Here

The Opportunity

We’re looking for an entrepreneurial Technical Product Manager to help shape and scale the next generation of AI-powered technology platforms across the firm. This is not a traditional product management role centered around maintaining roadmaps, coordinating large teams, or managing extensive stakeholder processes. Instead, you’ll identify high-value opportunities, formulate hypotheses, work closely with engineers and business leaders, and drive solutions from concept through execution.

You’ll join a lean team currently consisting of Principal and Senior Engineers and work at the intersection of product, data, AI, and business operations. The ideal candidate thrives in ambiguity, enjoys solving difficult problems, and can balance business needs with technical realities.

This role is especially attractive for product leaders who have demonstrated an ability to operate in startup environments, build from scratch, and create meaningful outcomes without significant organizational support.

What You’ll Do

Drive High-Impact Product Initiatives

• Identify and prioritize opportunities across the firm’s AI and technology ecosystem.
• Develop hypothesis-driven approaches to solving complex operational and business challenges.
• Translate business needs into technically viable product solutions.
• Partner closely with engineering leaders to evaluate feasibility and execution paths.

Build AI Platform Capabilities

• Help evolve existing AI prototypes and successful proof-of-concept projects into scalable platforms.
• Lead initiatives focused on AI enablement, agentic workflows, and enterprise productivity.
• Define and measure business impact, adoption, and value realization.
• Drive the maturation of internally developed solutions from experimentation into production-grade offerings.

Operate Across Business and Technology

• Work closely with investment professionals, operating teams, engineers, and business stakeholders.
• Serve as a bridge between technical teams and business decision makers.
• Evaluate how emerging technologies can create leverage across the firm’s platform and portfolio.

Deliver Through Influence

• Operate effectively in a lean environment where outcomes matter more than organizational structure.
• Navigate ambiguity and independently drive initiatives forward.
• Build alignment without relying on formal authority or large teams.

Example Projects

Recent and upcoming initiatives include:

• Scaling a data substrate designed to support an emerging agentic AI ecosystem.
• Consolidating successful AI use cases and prototypes into a unified enablement platform.
• Defining frameworks to measure AI adoption, business impact, and operational value creation.
• Identifying opportunities to modernize workflows and decision-making processes across a private equity environment.

What We’re Looking For

Required Qualifications

• Experience in Product Management, Technical Product Management, Founder/Product Leader roles, or similar positions with significant ownership and execution responsibility.
• Strong understanding of data platforms, data architecture, and how data moves through complex systems.
• Ability to work effectively with engineers and understand technical tradeoffs.
• Familiarity with software development concepts and at least one programming language.
• Demonstrated ability to solve complex business problems in ambiguous environments.
• Entrepreneurial mindset with a history of building, launching, or driving impactful initiatives.
• Strong analytical and hypothesis-driven problem-solving approach.
• Exceptional communication skills and ability to work across diverse stakeholder groups.

Preferred Qualifications

• Experience building, deploying, or scaling AI-enabled products.
• Exposure to generative AI, agentic systems, machine learning, or modern data platforms.
• Startup founder or early-stage startup experience.
• Experience within private equity, venture capital, investment management, management consulting, or technology organizations serving investment firms.
• Understanding of how technology can drive value creation across portfolio companies and investment organizations.

Who Will Thrive Here

You may be a fit if you:

• Have started a company or helped build one from the ground up.
• Are known for stepping into difficult situations and solving important problems.
• Enjoy operating with autonomy and ownership.
• Prefer building solutions over building large organizations.
• Can move comfortably between technical discussions and business conversations.
• Are energized by urgency and high-impact work.
• Want to help define how AI transforms a modern private equity platform.

You may not enjoy this role if you:

• Require highly structured requirements and extensive direction.
• Prefer managing large teams instead of personally driving outcomes.
• Focus primarily on roadmap management rather than problem-solving.

To Apply for this Job Click Here

To Apply for this Job Click Here

Director or VP of Product, AI Platform

• Location: Fully remote within the United States with occasional travel to SF.
• Client: Confidential – Private Equity Firm

Overview

Our client is reimagining how a leading private equity firm operates in an AI-native era.

A small, high-caliber engineering team has begun building the firm’s core AI platform. The Director / VP of Product will define what that platform is for: where AI can create disproportionate leverage, which problems are worth solving, and how the firm’s distinct judgment, workflows, and operating model should shape what gets built.

This is a senior, hands-on product leadership role for someone who thrives in ambiguity and creates things that do not yet exist. You will work closely with investment professionals, operating teams, functional leaders, and engineers to turn complex, often competing needs into a clear and evidence-based product direction.

The mandate is enablement, not centralization. This role will help remove friction and increase capability across the firm without creating an AI gatekeeping function. You will not run the engineering team’s process or simply convert requests into tickets. You will own the platform’s value thesis, prioritization logic, and evolving product direction.

Responsibilities

• Develop and maintain a living, ranked set of AI product hypotheses, including expected value, user needs, assumptions, supporting evidence, risks, and the criteria that would validate or disprove each bet.
• Identify where AI can create outsized leverage across investment, deal, portfolio, operating, and internal business workflows, with a focus on differentiated and reusable capabilities rather than incremental point solutions.
• Partner directly with senior stakeholders across the firm to understand how work is actually done, where friction exists, and where technology can materially improve decision-making, speed, quality, consistency, or scale.
• Prototype and pressure-test concepts using modern AI-native tools, such as Claude, Claude Code, Claude Cowork, Claude Design, or equivalent tools, before asking engineering to commit resources.
• Use prototypes, workflow analysis, user feedback, and direct observation to test assumptions quickly, advance strong opportunities, and kill weak or disproven ideas rather than allowing them to accumulate in a backlog.
• Partner closely with a small, high-leverage engineering team to provide product context, shape outcomes, evaluate tradeoffs, and determine when to push on a solution versus when to let engineering lead implementation.
• Challenge generic or off-the-shelf AI solutions when they do not fit the firm’s actual workflows, decision-making patterns, or differentiated judgment.

Requirements

• Significant product leadership experience at the Director, VP, Head of Product, or comparable level in Private Equity or adjacent industries.
• Demonstrated success building products, platforms, internal tools, workflow systems, or new capabilities in ambiguous, early-stage, or otherwise undefined environments.
• Strong product judgment grounded in user behavior, workflow design, adoption, and business value rather than feature volume, delivery process, or system design alone.
• Experience working with senior stakeholders in complex, high-expectation environments with competing priorities and limited tolerance for unnecessary process.
• Ability to identify the underlying need behind a stakeholder request, challenge assumptions constructively, and translate broad needs into a stronger product direction.
• Technical fluency sufficient to collaborate credibly with engineers, evaluate practical tradeoffs, understand modern AI capabilities and limitations, and prototype ideas independently.
• Hands-on familiarity with generative AI tools and AI-assisted prototyping or development workflows, such as Claude, ChatGPT, Cursor, Claude Code, Replit, Figma AI, or similar tools.
• Strong communication, facilitation, and relationship management skills, including the ability to build trust with senior leaders, hold productive conversations amid disagreement, and drive alignment without relying on hierarchy.
• Comfortable operating without a complete specification, formal roadmap, established product organization, or clearly defined playbook.
• A low-ego, high-ownership mindset with the ability to move between strategic direction and hands-on experimentation.

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Engineer

Hybrid | Miami, FL or Austin, TX – need to be local – relocation not offered
U.S. Citizens & Green Card Holders Only
Build the Future of Data at a Growing Company

Looking to take the next big step in your data engineering career?

We’re partnering with a rapidly growing organization that is investing heavily in its modern data platform and analytics capabilities. This is an opportunity for a Data Engineer with strong SQL, Python, and dbt skills to join a team that’s building a scalable cloud-based data environment from the ground up.

You’ll work alongside experienced data professionals and implementation partners to develop pipelines, transform data, and help create the foundation that powers reporting, analytics, and future AI initiatives across the business.

This role is perfect for someone who enjoys solving data problems, learning modern technologies, and making a visible impact on a growing organization.

What You’ll Do

• Build and maintain data pipelines using SQL, Python, and modern ELT practices
• Develop and optimize dbt models that support analytics and business reporting
• Integrate data from multiple business systems into a centralized cloud data warehouse
• Improve data quality, reliability, and accessibility across the organization
• Partner closely with analytics and business teams to deliver trusted datasets
• Support the implementation of a new Snowflake environment and modern data platform
• Contribute to data governance, documentation, and best practices as the platform grows

Technologies You’ll Work With

• SQL
• Python
• dbt
• Snowflake
• Fivetran
• Domo
• Modern Cloud Data Warehousing
• ELT / Data Transformation

What We’re Looking For

• Approximately 3+ years of experience in Data Engineering, Analytics Engineering, or a related field
• Strong SQL skills with experience working with large datasets
• Hands-on Python experience for data processing and automation
• Experience building and maintaining dbt models
• Exposure to data warehousing concepts and cloud-based data platforms
• Understanding of ETL/ELT processes and data transformation best practices
• Strong problem-solving skills and desire to learn in a fast-paced environment
• Excellent communication skills and ability to collaborate across technical and business teams

Nice to Have

• Snowflake experience
• Fivetran experience
• Experience supporting BI or analytics teams
• Exposure to data governance or data quality initiatives
• Experience working in a cloud data environment

Why Join?

• Work on a modern data stack centered around SQL, Python, dbt, and Snowflake
• Be part of a major data transformation initiative from the beginning
• Gain exposure to enterprise-scale data engineering projects
• Work directly with experienced leaders and consultants who can accelerate your growth
• High visibility and real ownership of impactful projects

Clear opportunities for career advancement as the data team expands

Logistics

Miami, FL or Austin, TX – local candidates only

Up to $165,000 Base Salary

U.S. Citizen or Green Card Holder required

Target Start: October 2026

Ideal Candidate

A Data Engineer with around 3 years of experience who is confident with SQL, Python, and dbt, eager to grow in a modern cloud environment, and excited by the opportunity to help build something from the ground up rather than maintain legacy systems.

To Apply for this Job Click Here

To Apply for this Job Click Here

Director of Data Research

This is an opportunity to lead a data research function at a business that helps investment professionals make data-driven decisions. You will combine strategic leadership with hands-on technical expertise, evaluating new data assets, shaping research initiatives, and building scalable capabilities that influence commercial outcomes.

The Company
They are an innovative data and analytics business providing insights to investment professionals through proprietary research and alternative data. Operating in a high-growth environment, they continuously explore new datasets and methodologies to enhance the quality and value of their products. Their collaborative culture brings together research, data, and technology teams to solve complex business challenges.

The Role

• Lead the data research function and define the strategy for identifying and evaluating new data sources.
• Assess the quality, reliability, and commercial value of datasets to determine whether they are worth purchasing and integrating into products.
• Design and oversee statistical analysis, modelling, and time series research to validate potential data assets.
• Work closely with stakeholders across data, partnerships, and technology teams to develop new research opportunities.
• Drive end-to-end research projects, from hypothesis generation through to evidence-based recommendations.
• Improve data evaluation frameworks, standards, and processes.
• Manage and mentor a small team while fostering technical excellence and continuous improvement.
• Support the adoption of AI and advanced analytical techniques to improve research efficiency and quality.

Your Skills & Experience

• Strong commercial experience in data science, statistics, quantitative research, or a related field.
• Python skills, with experience applying statistical analysis and time series techniques to complex datasets.
• Strong understanding of data quality assessment, feature engineering, and modelling.
• Strong communication skills with the ability to explain technical findings to both technical and non-technical stakeholders.
• Experience evaluating new datasets and translating findings into commercial recommendations.
• Ability to lead research projects from concept through to delivery.
• Experience working with alternative data, financial data, market intelligence, or data products is advantageous.

To Apply for this Job Click Here

To Apply for this Job Click Here

Principal AI Architect

Remote out of Toronto, Ontario

CAD $200,000 – $220,000 Base Salary

THE COMPANY

Our client is a high-growth SaaS technology company at the forefront of applying AI to complex, knowledge-intensive workflows. With a strong investment in agentic AI and next-generation automation, they are building scalable, production-ready systems that transform how organizations interact with content, documents, and enterprise knowledge.

This is a rare opportunity for a seasoned AI architect to define the technical foundations of a rapidly evolving AI platform and have a significant impact on the future direction of the business.

RESPONSIBILITIES

• Lead the design and evolution of the company’s agentic AI architecture, establishing standards, patterns, and infrastructure for scalable AI-driven product experiences.
• Build and enhance critical AI infrastructure across evaluation frameworks, testing systems, observability platforms, tracing capabilities, and production agent execution environments.
• Design and implement agent orchestration layers, multi-agent workflows, reasoning engines, memory systems, planning frameworks, and adaptive feedback mechanisms.
• Partner closely with engineering teams to review architecture, identify technical risks, and drive best practices without creating delivery bottlenecks.
• Establish a robust AI quality framework, including evaluation datasets, grading systems, regression testing, release gates, experimentation platforms, and production feedback loops.
• Collaborate with engineering, machine learning, and product leaders to make informed architectural decisions and ensure reliable delivery of advanced AI capabilities.
• Mentor senior engineers through design reviews, architecture discussions, and technical leadership, raising standards across the wider engineering organization.
• Evaluate emerging advancements in agentic AI and apply them to build scalable, measurable, and impactful solutions.

SKILLS AND EXPERIENCE

Required

• 10+ years of software engineering experience with substantial expertise designing and delivering production AI systems at Staff, Principal, or equivalent level.
• Proven experience building and shipping agentic AI products, including multi-agent systems, LLM orchestration, tool-use frameworks, and agent execution environments.
• Deep expertise in AI evaluation methodologies, including quality rubrics, curated datasets, deterministic and model-based grading, regression testing, and continuous feedback systems.
• Strong experience with advanced Retrieval-Augmented Generation (RAG) and agentic search architectures, including query decomposition, multi-hop retrieval, hybrid search, reranking, metadata filtering, source routing, evidence validation, citations, and confidence scoring.
• Strong understanding of large language models, retrieval systems, and modern agent design patterns.
• Expertise in large-scale systems architecture, cloud-based AI infrastructure, model serving, deployment pipelines, monitoring, and observability.
• Strong Python development skills and hands-on experience with agent frameworks such as LangChain, LangGraph, Microsoft Agent Framework, or similar technologies.
• Demonstrated ability to influence and guide engineering organizations of 15-20+ engineers through architecture and technical leadership.

Preferred

• Experience building agent-based systems within SaaS products focused on content, document management, or enterprise knowledge workflows.
• Experience with cloud-native machine learning infrastructure on AWS or comparable cloud platforms.
• Prior experience operating as a Principal Architect, Distinguished Engineer, or Staff-plus technical leader in a fast-growth technology environment.

BENEFITS

• Competitive base salary of CAD $200,000 – $220,000.
• Opportunity to shape the future of a cutting-edge AI platform.
• High-impact individual contributor role with significant technical ownership.
• Collaborative, innovation-focused engineering culture.
• Flexible hybrid working environment.
• Career growth within a rapidly scaling technology organization.

HOW TO APPLY

Please register your interest by sending your CV via the Apply link on this page.

KEY TERMS

Principal AI Infrastructure Architect | Principal Engineer | AI Architecture | Agentic AI | Multi-Agent Systems | LLMs | RAG | Agent Frameworks | LangChain | LangGraph | Microsoft Agent Framework | AI Infrastructure | AI Evaluation | Observability | Tracing | Model Serving | Python | Distributed Systems | SaaS | Machine Learning Platform | AWS | Enterprise AI | Staff Engineer | Principal Architect | AI Quality Engineering | Knowledge Systems | Retrieval Systems | Orchestration Frameworks

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Risk Engineer
London
Up to £200,000 Base + Bonus

This is a rare opportunity to join a technology-driven investment firm where engineering has a direct impact on investment decisions. You’ll build risk intelligence tools used by Portfolio Managers and Risk teams to better understand exposures, performance, and opportunities across portfolios.

The Company
They are a global investment firm with a strong focus on technology, data and quantitative decision-making. Engineers work closely with front-office stakeholders in a collaborative environment that values ownership, innovation and high-quality engineering.

The Role

• Build and enhance cross-asset risk analytics platforms.
• Develop APIs, data pipelines and decision-support tools for investment teams.
• Translate risk and pricing models into scalable production systems.
• Work closely with Portfolio Managers, Risk Managers and Quant Researchers.
• Own systems end-to-end, from design through to production support.
• Contribute to AI-enabled analytics and risk intelligence initiatives.

Your Skills & Experience

• Strong experience in risk technology, software engineering or quant development within financial markets.
• Python or Java and SQL expertise.
• Experience building production-grade risk, pricing or trading systems.
• Knowledge of derivatives, Greeks, VaR, scenario analysis and market risk.
• Experience with APIs, distributed systems and data pipelines.
• Ability to investigate model outputs and communicate findings clearly.

What They Offer

• Competitive salary
• Comprehensive benefits package.
• Direct front-office exposure.
• Strong career progression opportunities.
• Collaborative culture with excellent work-life balance.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Risk Engineer

Up to £200,000

London (4 days a week in office)

This is an opportunity to join a leading global investment management organisation at the forefront of risk technology and quantitative investing. You’ll work directly with investment teams, building innovative risk and decision-support platforms that influence portfolio construction, capital allocation, hedging strategies, and investment performance.

THE COMPANY

They are a highly regarded global investment management firm with a strong focus on technology, data, and quantitative research. Operating across multiple asset classes and complex financial markets, they combine advanced analytics with sophisticated engineering to support investment decision-making. Their collaborative culture encourages innovation, ownership, and continuous learning. As they continue to invest in their Risk Technology capability, they are seeking an experienced Senior Risk Engineer to help shape the future of their platform.

THE ROLE

As a Senior Risk Engineer, you will be responsible for designing, building, and enhancing investment-facing risk technology solutions used by Portfolio Managers, Risk Managers, and Quantitative Researchers.

Specifically, you can expect to be involved in the following:

• Architecting and developing scalable risk technology platforms and services
• Building cross-asset risk analytics covering sensitivities, scenario analysis, VaR, exposure aggregation, margin, and attribution
• Developing APIs, data pipelines, and interactive tools that deliver actionable investment insights
• Translating complex pricing and risk models into production-grade technology solutions
• Partnering closely with investment teams to solve trading, portfolio, and risk management challenges
• Supporting the firm’s Risk Intelligence strategy through the application of advanced analytics and AI technologies
• Ensuring robust engineering standards through testing, monitoring, data governance, and operational resilience
• Contributing to platform strategy, technical design reviews, and engineering best practice

SKILLS AND EXPERIENCE

The successful Senior Risk Engineer will have the following skills and experience:

• Strong commercial experience building production-grade software within financial markets, risk technology, quantitative development, or trading environments
• Advanced programming skills in Python and/or Java, alongside strong SQL capabilities
• Experience developing APIs, distributed systems, event-driven architectures, and large-scale data solutions
• Deep understanding of derivatives, pricing models, risk analytics, Greeks, scenario analysis, and VaR methodologies
• Ability to work closely with both technical and investment stakeholders
• Strong software engineering principles including scalability, maintainability, testing, and operational excellence
• Experience investigating risk model outputs and reconciling data, methodology, and implementation discrepancies
• Excellent communication skills with the ability to explain complex concepts clearly

Desirable experience:

• Machine learning, AI, LLMs, or AI-assisted development
• Cloud platforms, containerisation, CI/CD, streaming technologies, and observability tooling
• Exposure to multiple asset classes including equities, fixed income, credit, commodities, and FX

BENEFITS

The successful Senior Risk Engineer will receive the following benefits:

• Salary up to £200,000 – depending on experience

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Forward Deployed AI Engineer

Day rate: £700-£1,200 Outside IR35
Contract: Initial 12 months
Commitment: Approximately three days per week
Location: Two days per week onsite in London

Harnham is working with a leading private equity firm looking for a Forward Deployed AI Engineer to support businesses across its portfolio.

The portfolio is primarily made up of SMEs and scale-ups generating approximately £5m-£50m in annual revenue. These businesses operate across different sectors and have varying levels of technical maturity.

The role combines senior-level consulting with hands-on AI engineering. You will work directly with CEOs, boards and leadership teams to understand how their businesses operate, identify where AI can create genuine commercial value and then personally build and deploy the solutions.

The role

You will work across multiple portfolio companies, taking projects from initial discovery through to production delivery and adoption.

Responsibilities will include:

• Working directly with CEOs, boards and operational leaders.

• Understanding each company’s commercial priorities, processes, systems and constraints.

• Identifying bottlenecks, repetitive work and opportunities for AI or automation.

• Translating business problems into clear technical requirements.

• Prioritising use cases according to commercial value, feasibility, cost and risk.

• Determining whether the right answer is AI, conventional automation, an existing product or a wider process change.

• Designing, building and deploying production AI applications.

• Developing LLM applications, RAG solutions, agentic workflows and process automation.

• Integrating solutions with existing APIs, databases, CRMs, document stores and operational platforms.

• Introducing appropriate evaluation, monitoring, security and guardrails.

• Supporting user testing, training and adoption.

• Measuring the commercial and operational impact of each implementation.

• Documenting solutions and leaving portfolio companies with maintainable systems.

• Working alongside a Fractional Chief Data Officer where data quality, governance or architecture issues need to be addressed.

What we are looking for

The successful person will combine strong consulting skills with genuine technical depth.

You should have:

• Previous experience working with private equity firms or PE-backed portfolio companies.

• Experience delivering within SMEs or scale-ups generating approximately £5m-£50m in annual revenue.

• Experience working directly with CEOs, boards, founders or investment stakeholders.

• Strong commercial discovery and process-mapping experience.

• The ability to identify and prioritise use cases based on business value.

• Strong hands-on Python and software-engineering skills.

• Recent experience personally building and deploying production AI applications.

• Commercial experience with LLMs, RAG, agentic AI or AI-driven workflow automation.

• Experience integrating AI applications with existing business systems and APIs.

• Experience taking projects from discovery and architecture through to deployment and adoption.

• Knowledge of cloud deployment, application monitoring, evaluation, security and cost management.

• The ability to operate independently across businesses with different systems and levels of technical maturity.

• Strong communication and stakeholder-management skills.

The balance of the role

This is not purely an advisory position, but it is also broader than a traditional AI engineering role.

You will need to be comfortable leading conversations with CEOs and boards, challenging assumptions and recommending where investment should be focused. You must then be able to move into the technical delivery, write the code, build the integrations and take the solution into production.

The strongest candidates are likely to come from Forward Deployed Engineering, applied AI consulting, technical founder, fractional CTO or hands-on AI leadership backgrounds.

Expected outcomes

The successful person will help the portfolio companies achieve:

• A prioritised pipeline of commercially valuable AI opportunities.

• Faster movement from initial idea to production deployment.

• Reduced manual and repetitive work.

• Improved employee productivity and operational efficiency.

• Better customer, sales and internal processes.

• Measurable improvements in revenue, margin, efficiency or customer experience.

• Secure, maintainable AI applications that can be adopted by the business.

• A clearer understanding of where AI is valuable and where simpler solutions are more appropriate.

Working arrangement

This is an initial 12-month fractional engagement requiring approximately three days per week.

Candidates must be able to work onsite in London two days per week, with the remaining time worked remotely. Some travel to portfolio companies may occasionally be required.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Engineer

Location: Miami, FL OR Austin, TX- Hybrid 4 days per week

Compensation: $150-165k base salary + bonus

About the Role

A large, rapidly growing financial services organization is seeking a Senior Data Engineer to help build and evolve its modern enterprise data platform. This is a highly visible, hands-on role with broad ownership across data ingestion, modeling, transformation, quality, and platform development.

You’ll work across the full data lifecycle, building scalable solutions that support analytics, reporting, and critical business operations. This is an ideal opportunity for a Data Engineer who wants meaningful ownership, broad technical exposure, and the ability to influence how a growing organization approaches data.

What You’ll Do:

• Design, build, and maintain scalable data pipelines, ingestion frameworks, and ETL/ELT workflows.
• Develop and optimize data models supporting analytics, reporting, and downstream applications.
• Build and enhance an enterprise data platform with a focus on scalability, reliability, and performance.
• Develop robust data solutions using Python, SQL, and dbt.
• Own engineering projects from requirements and technical design through deployment and ongoing operation.
• Implement processes around data quality, monitoring, reconciliation, lineage, and reliability.
• Partner with Analytics, Data Science, Engineering, and business teams to deliver high-quality data products.
• Troubleshoot complex data and pipeline issues and identify opportunities to improve existing systems.
• Contribute to data architecture, engineering standards, and the longer-term technical roadmap.

Must Have:

• 3+ years of experience in Data Engineering, Analytics Engineering, or a related engineering role.
• Strong hands-on experience with Python and SQL.
• Strong experience with dbt and modern data transformation practices.
• Experience building and maintaining production data pipelines and ingestion processes.
• Strong understanding of data modeling and ETL/ELT architecture.
• Experience with data quality, monitoring, and production data operations.
• Ability to independently own projects from design through implementation.
• Strong communication skills and experience partnering with technical and business stakeholders.

Nice to Have:

• Experience with Azure or similar cloud-based data platforms.
• Background in financial services, consulting, or a high-growth technology environment.
• Strong academic background in Computer Science, Mathematics, Statistics, Engineering, or a related field.
• Experience building or scaling enterprise data platforms.

Why Join?

This is an opportunity to take meaningful ownership within a growing data organization and help shape the future of its enterprise data platform. You’ll remain deeply hands-on while working across ingestion, modeling, data quality, platform development, and cloud infrastructure – with the opportunity to expand your technical influence as the organization continues to scale.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Engineer

Location: Austin, TX OR Miami, FL – Hybrid 4 days per week

Compensation: $150-165k base salary + bonus

About the Role

A large, rapidly growing financial services organization is seeking a Senior Data Engineer to help build and evolve its modern enterprise data platform. This is a highly visible, hands-on role with broad ownership across data ingestion, modeling, transformation, quality, and platform development.

You’ll work across the full data lifecycle, building scalable solutions that support analytics, reporting, and critical business operations. This is an ideal opportunity for a Data Engineer who wants meaningful ownership, broad technical exposure, and the ability to influence how a growing organization approaches data.

What You’ll Do:

• Design, build, and maintain scalable data pipelines, ingestion frameworks, and ETL/ELT workflows.
• Develop and optimize data models supporting analytics, reporting, and downstream applications.
• Build and enhance an enterprise data platform with a focus on scalability, reliability, and performance.
• Develop robust data solutions using Python, SQL, and dbt.
• Own engineering projects from requirements and technical design through deployment and ongoing operation.
• Implement processes around data quality, monitoring, reconciliation, lineage, and reliability.
• Partner with Analytics, Data Science, Engineering, and business teams to deliver high-quality data products.
• Troubleshoot complex data and pipeline issues and identify opportunities to improve existing systems.
• Contribute to data architecture, engineering standards, and the longer-term technical roadmap.

Must Have:

• 3+ years of experience in Data Engineering, Analytics Engineering, or a related engineering role.
• Strong hands-on experience with Python and SQL.
• Strong experience with dbt and modern data transformation practices.
• Experience building and maintaining production data pipelines and ingestion processes.
• Strong understanding of data modeling and ETL/ELT architecture.
• Experience with data quality, monitoring, and production data operations.
• Ability to independently own projects from design through implementation.
• Strong communication skills and experience partnering with technical and business stakeholders.

Nice to Have:

• Experience with Azure or similar cloud-based data platforms.
• Background in financial services, consulting, or a high-growth technology environment.
• Strong academic background in Computer Science, Mathematics, Statistics, Engineering, or a related field.
• Experience building or scaling enterprise data platforms.

Why Join?

This is an opportunity to take meaningful ownership within a growing data organization and help shape the future of its enterprise data platform. You’ll remain deeply hands-on while working across ingestion, modeling, data quality, platform development, and cloud infrastructure – with the opportunity to expand your technical influence as the organization continues to scale.

To Apply for this Job Click Here

To Apply for this Job Click Here

AI PLATFORM STRATEGY LEAD
US-BASED | REMOTE
DIRECTOR / VP-LEVEL INDIVIDUAL CONTRIBUTOR
The Opportunity
Join a small, highly influential team helping shape how AI is applied across a growing organization.
Rather than building AI products yourself, you’ll determine where AI can create the greatest business impact and help turn those opportunities into scalable solutions.
You’ll work closely with senior business leaders and engineers, connecting real-world business challenges with practical AI capabilities and guiding the long-term direction of an AI platform built specifically for the organization’s needs.

What You’ll Do

• Discover and evaluate opportunities where AI can drive meaningful business outcomes
• Partner with stakeholders across the organization to understand workflows, challenges, and priorities
• Develop and prioritize a portfolio of AI initiatives based on value, impact, and feasibility
• Validate concepts through rapid experimentation and prototyping before investing engineering resources
• Collaborate closely with engineers to shape platform capabilities and long-term strategy
• Balance competing requests and align stakeholders around a clear direction
• Continuously test assumptions and refine priorities as new information emerges

What We’re Looking For

• Experience leading product, platform, or strategic AI initiatives
• Strong understanding of generative AI and how it can solve real business problems
• Excellent communication skills with the ability to influence both technical and non-technical stakeholders
• Ability to create structure and direction in highly ambiguous environments
• Track record of translating ideas into measurable business impact
• Comfort working alongside engineers while remaining focused on business outcomes
• Strong judgment, prioritization skills, and ownership mentality
• Builder mindset with a willingness to experiment and challenge assumptions

Nice to Have

• Experience launching AI-enabled products or internal platforms
• Background in enterprise software, consulting, investing, or operational strategy
• Hands-on experience using modern AI tools to prototype and test concepts
• Experience with platform products or cross-functional organizational initiatives
• Success operating in startup, transformation, or 0→1 environments

Why This Role

• Influence how AI is applied across an entire organization
• Own strategic direction rather than project execution
• Partner directly with senior leaders and decision-makers
• Help define and evolve a purpose-built AI platform
• Operate with significant autonomy and visibility
• Join a lean, high-impact team focused on results over bureaucracy

If you’re excited about finding high-value AI opportunities, shaping product and platform strategy, and helping an organization unlock the full potential of AI, this is a unique chance to make a lasting impact.

To Apply for this Job Click Here

To Apply for this Job Click Here

Head of Engineering – Platform

Mountain View, CA – Hybrid (3 days/week onsite)

$280,000 – $300,000 Base + Bonus + RSUs

THE COMPANY

Harnham is partnering with a Fortune 500 leader in cybersecurity that is looking for a new Engineering leader. The company combines the scale of an established enterprise with a scrappy, high-ownership culture, and is currently investing heavily in modernizing its core engineering infrastructure. This role sits within the Licensing & Shared Services Engineering organization, focused on transforming business-critical licensing and accounts platforms that power multiple products globally.

RESPONSIBILITIES

• Own the architecture and modernization strategy for licensing and accounts platforms.
• Lead transformation of complex backend systems, including multiple Java-based services.
• Design scalable, reusable licensing frameworks supporting multiple products and interfaces.
• Simplify integrations across products, reducing system complexity and improving maintainability.
• Define and execute the long-term technical roadmap for licensing and accounts systems.
• Provide deep technical leadership across system architecture, design reviews, and engineering best practices.
• Collaborate closely with Product Management, Architecture, and Engineering teams to align strategy and execution.
• Guide integration approaches across multiple product lines and ensure system scalability and resilience.
• Mentor senior engineers and engineering leaders while scaling and strengthening the team.
• Act as a change agent, challenging legacy systems and driving modernization initiatives.

SKILLS AND EXPERIENCE

• 15+ years of experience in software engineering, with significant leadership experience.
• 5+ years at Director-level or above.
• Deep expertise in backend systems, particularly Java-based architectures.
• Strong experience in system design, platform architecture, and large-scale system transformation.
• Proven experience owning and executing technical roadmaps for complex platforms.
• Experience managing and influencing teams of 20+ engineers in highly cross-functional environments.
• Strong experience designing integrations across multiple systems and product ecosystems.
• Ability to simplify complex technical domains and drive architectural clarity.
• Excellent communication and stakeholder management skills across engineering and business teams.

PREFFERED EXPERIENCE

• Experience with licensing, entitlement, or accounts platforms.
• Experience designing reusable frameworks for product scalability.
• Experience with cloud modernization initiatives.
• Exposure to regulated or legally constrained systems.
• Background in high-scale consumer or enterprise platforms.

BENEFITS

The compensation package includes a competitive base salary, 30% annual bonus, RSUs with significant flexibility, 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

Software Engineering Leadership | Platform Architecture | Java | Backend Systems | Licensing Systems | Entitlement Systems | Shared Services | System Modernization | Cloud | Enterprise Systems | Integration | Scalable Platforms | Cybersecurity | Technical Leadership | Product Engineering | Scale | Fortune 500 | Migration

To Apply for this Job Click Here