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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.

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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.

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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.

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Product Data Analyst

£50,000-£60,000

Sheffield (1 day a week in office)

If you’re passionate about turning complex data into actionable business insights, this is an opportunity to make a tangible impact within a growing technology-led organisation. You’ll combine analytical discovery, predictive modelling, and stakeholder collaboration to shape product strategy, improve customer outcomes, and influence key business decisions.

THE COMPANY

They are a growing organisation undergoing an exciting phase of data maturity and digital transformation. Their focus is on leveraging data to enhance customer experiences, inform strategic decisions, and drive sustainable growth. Working within a collaborative environment, you will partner closely with data, product, operations, finance, and commercial stakeholders to unlock value from a modern cloud-based data platform.

THE ROLE

As a Product Data Analyst, you will drive product strategy and customer growth through advanced analytics, customer journey insights, and predictive data science in a modern cloud data environment.

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

• Analyse end-to-end customer and user journeys to identify adoption trends, engagement drivers, and opportunities for growth.
• Conduct exploratory analysis to uncover product usage patterns, conversion drop-offs, and areas for optimisation.
• Build predictive models focused on areas such as customer churn, engagement scoring, demand forecasting, and propensity modelling.
• Develop customer segmentation and behavioural cohorts to support targeted business initiatives.
• Translate complex business questions into structured analytical frameworks, hypotheses, and actionable recommendations.
• Partner with data engineering teams to ensure analytical requirements are embedded within the wider data platform.
• Design dashboards, reporting solutions, and KPI frameworks that support executive and operational decision-making.

SKILLS AND EXPERIENCE

The successful Product Data Analyst will have the following skills and experience:

• Strong commercial experience in Data Science, Product Analytics, or Advanced Analytics environments.
• Advanced SQL skills with experience querying complex cloud-based data warehouses, ideally including Snowflake.
• Expertise in Python or R for statistical analysis, machine learning, and predictive modelling.
• Experience analysing customer journeys, retention, lifecycle metrics, and behavioural data.
• Ability to communicate technical findings clearly to both technical and non-technical stakeholders.
• Experience with BI and visualisation tools such as Power BI, Tableau, Looker, or similar.
• Familiarity with dbt and modern analytics engineering practices is highly desirable.

BENEFITS

The successful Product Data Analyst twill receive the following benefits:

• Salary between £50,000 – £60,000 – depending on experience

HOW TO APPLY

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

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Director of Data Research
Remote | £100,000 – £150,000
This is a rare opportunity to shape and lead a high-impact Data Research function within a growing data and analytics business. Sitting at the intersection of data science, commercial strategy, and research, you will play a key role in identifying new data opportunities, validating their value, and helping drive the development of innovative data products.
The Company
They are a fast-growing data and analytics organisation that delivers actionable business insights through sophisticated data products. Working with a range of commercial and investment-focused customers, they combine proprietary methodologies with diverse datasets to uncover meaningful trends and performance indicators.
Their success is built on finding unique sources of information and transforming them into valuable insights. As they continue to grow, they are looking for a Director of Data Research to provide technical leadership, enhance research capabilities, and drive innovation across the function.
The Role
As Director of Data Research, you will lead the strategy, execution, and development of the Data Research team. You will work closely with stakeholders across data partnerships, technology, and leadership to evaluate new datasets and identify opportunities for new products and KPIs.
Responsibilities include:

• Defining and executing the Data Research strategy in line with business objectives
• Leading research initiatives to identify new data sources, metrics, and commercial opportunities
• Evaluating new datasets and assessing their quality, reliability, and business value
• Applying statistical techniques including time series analysis, hypothesis testing, correlation analysis, and data validation
• Developing frameworks and standards for dataset evaluation and valuation
• Improving the speed, consistency, and quality of research delivery
• Managing and developing team members while fostering technical excellence
• Partnering with senior stakeholders to support data acquisition and investment decisions
• Driving innovation through the application of data science techniques and emerging technologies

Your Skills & Experience

• Strong experience in Data Research, Data Science, Statistics, or a closely related field
• Proven ability to lead complex research projects from hypothesis generation through to actionable recommendations
• Expertise in analysing large, complex, and imperfect datasets
• Strong statistical knowledge with experience validating data and assessing relationships between datasets and business outcomes
• Commercial awareness and the ability to evaluate the value of data investments
• Experience leading technical teams and setting high standards for research quality
• Proficiency in Python and the ability to review technical work effectively
• Excellent stakeholder management and communication skills
• Experience within alternative data, investment research, financial data, or similar environments would be beneficial

What They Offer

• Salary of £100,000 – £150,000
• Fully remote working environment
• Opportunity to shape and scale a growing research function
• High levels of ownership and influence across the business
• Exposure to complex data challenges and commercially focused research projects
• Collaborative environment with strong opportunities for career progression and leadership development

How to Apply
To find out more about this Director of Data Research opportunity, please submit your application today.

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Director of Data Research

Remote – UK Based

£100,000 – £150,000

This is an opportunity to lead a growing Data Research function within a scaling technology business. You will combine strategic leadership with hands-on statistical and data expertise, shaping how novel data sources are discovered, evaluated and transformed into commercially valuable insights.

The Company

They are a data-led technology business providing sophisticated KPI and market insights to investment professionals. Their platform combines first-party and third-party datasets with proprietary modelling techniques. Following recent investment and continued growth, they are strengthening their senior technology leadership team.

The Role

As Director of Data Research, you will set the technical direction for the function while leading and developing a growing team.

• Define and execute the data research strategy alongside senior technology and strategy stakeholders.
• Lead complex, open-ended research projects from hypothesis through to evidence-based recommendations.
• Establish rigorous standards for evaluating new datasets, improving accuracy, quality and speed.
• Develop approaches for assessing the commercial value of new data sources and supporting purchasing decisions.
• Drive greater statistical and technical sophistication across data research.
• Lead, hire and develop technical talent as the function scales.
• Use Python, SQL, statistical analysis and data modelling expertise to review and challenge technical work.
• Explore how AI can improve research quality, data evaluation and operational efficiency.

Your Skills & Experience

• Strong commercial or research experience across data science, statistics or a closely related quantitative discipline.
• Deep knowledge of statistical analysis, data modelling, feature engineering and messy real-world datasets.
• Strong Python and SQL capability, with the technical depth to provide meaningful oversight of complex work.
• Experience defining hypotheses and leading ambiguous research projects through to clear conclusions.
• Demonstrable experience leading and developing technical teams.
• Strong commercial judgement when assessing the costs, benefits and potential value of datasets.
• Ability to communicate complex technical findings and limitations clearly to senior and non-technical stakeholders.
• Comfortable making pragmatic decisions within a fast-moving, scaling environment.
• Experience with financial data, alternative data, investment research, first-party data collection or AI-enabled research workflows would be advantageous.

What They Offer

• Competitive salary based on experience.
• Remote-first working, with a preference for candidates based in the UK or Europe.
• Significant ownership of the direction and development of a growing Data Research function.
• The opportunity to influence data strategy at senior leadership level.
• Scope to build and develop a high-performing technical team as the organisation scales.

How to Apply

If you are a senior data leader who combines research expertise, technical depth and commercial judgement, apply to find out more.

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Director of Data Research

UK / Europe | Remote First | Up to £100-150k

This is a senior leadership opportunity for a technically strong data leader to shape a growing Data Research function. You will combine hands-on statistical expertise with research strategy, people leadership and commercial decision-making.

The Company
They are a growing data and technology business providing sophisticated data products to investment organisations. Following significant investment, they are continuing to scale their technology and research capabilities. Data is fundamental to their product, with teams exploring first-party, third-party and alternative datasets to generate commercially valuable insights.

The Role

• Define and drive the Data Research strategy alongside senior technology and business stakeholders.
• Lead complex, open-ended research projects from hypothesis through to evidenced recommendations.
• Improve how new datasets are evaluated for quality, value and commercial potential.
• Develop stronger statistical, modelling and technical standards across the function.
• Lead, hire and develop a growing technical Data Research team.
• Evaluate the cost and value of new data sources to support purchasing decisions.
• Explore how AI can improve the speed and quality of data research workflows.

Your Skills & Experience

• Strong commercial experience across data science, statistics or quantitative research.
• Deep technical expertise in statistical analysis, data modelling and messy real-world datasets.
• Strong Python and SQL capabilities.
• Experience defining hypotheses and leading complex research projects.
• Proven leadership of technical data or research teams.
• Strong commercial judgement and senior stakeholder management skills.
• Financial, alternative data or investment research experience is advantageous.

What They Offer

• Competitive senior-level package.
• Remote-first working across the UK and Europe.
• Opportunity to define the strategy and technical direction of a growing Data Research function.
• Significant ownership over team growth, hiring and technical standards.
• Exposure to sophisticated data, statistical research and AI-led initiatives.

How to Apply
Apply via LinkedIn or reach out to me directly!

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Senior Data Analyst

Central London | Hybrid | Up to £70-75k

An exciting opportunity for a Senior Data Analyst to use customer and subscription data to directly influence retention, engagement and growth within a digital business.

The Company
They are a global technology and digital content business operating at significant scale. Data plays a central role in understanding audiences, improving digital products and driving commercial decisions. You will join a collaborative environment with strong opportunities to develop your analytical skill set and make a visible impact.

The Role

• Analyse the end-to-end subscription funnel, identifying conversion opportunities and drop-off points.
• Develop and maintain Lifetime Value models and churn prediction models.
• Analyse customer retention, engagement and subscription behaviour.
• Build dashboards and monitor key subscription and user metrics.
• Turn complex customer data into clear commercial recommendations.
• Partner with Growth, Marketing, Product, Engineering and Data teams.
• Support experimentation and measurement across product and marketing initiatives.

Your Skills & Experience

• Strong commercial experience in data analytics, customer analytics or subscription analytics.
• Advanced SQL skills and experience working with large datasets.
• Experience with BI and data visualisation tools.
• Strong knowledge of customer lifecycle, retention, LTV or churn analysis.
• Understanding of statistical analysis, experimentation and predictive modelling.
• Strong communication skills with the ability to turn analysis into actionable recommendations.
• Python or R and digital subscription experience would be advantageous.

What They Offer

• Competitive compensation.
• Hybrid working from a Central London office.
• Career development and regular skills-based workshops.
• Flexible holiday offering.
• Cycle to Work scheme.
• Opportunity to have significant analytical impact within a growing digital business.

How to Apply
Apply via LinkedIn or contact me directly!

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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.

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