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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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AI Product Engineer

Bay Area, Hybrid (minimum 3 days per week in office)

About the Role

Join a fast-growing compliance technology company at a pivotal moment: the shift from reactive, user driven AI features to true agentic systems that take autonomous action on customers’ behalf. This isn’t prototype work, it’s production grade AI, built to help enterprise customers achieve and demonstrate compliance end to end, with minimal manual intervention.

You’ll work within a small, focused team building agentic capabilities in a specific product domain, partnering closely with a dedicated product manager. Expect real ownership from the ground up: you’re not adding features to an existing system, you’re building the agents that will define how customers interact with the platform. The architecture is evolving toward a shared platform layer, so you’ll also collaborate across teams to keep the customer experience unified.

Day to day is roughly 80% coding and system design, 20% meetings.

Examples of What You Might Build

• An agent that autonomously helps customers remediate failing compliance controls and get them to a passing state
• An agent that autonomously demonstrates compliance on a customer’s behalf, fully automated

What You’ll Need

• Production experience building and shipping agentic AI systems in a customer facing environment, not research or prototyping
• Deep familiarity with the full agentic lifecycle: prompt engineering, evaluation, iteration, debugging, and scaling
• A strong traditional software engineering foundation (full stack or backend) with a deliberate transition into AI engineering
• Proven bias for ownership; you can speak clearly to what you built, why, and the trade-offs you navigated
• Proficiency in Python or TypeScript
• Experience running structured AI evaluations and iterating based on real results
• 4+ years of relevant experience

Nice to Have

• RAG (retrieval augmented generation) experience
• Experience with agent frameworks or LLM orchestration tooling (e.g., AWS Bedrock, LangChain, or similar)

Compensation & Benefits

Base Salary: $165,000 to $240,000 + RSUs

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Data Governance Analyst

Amsterdam, The Netherlands

Salary up to 80k

THE COMPANY

This international organisation are looking for a Senior Data Governance Analyst to work within their growing Data team. Since their establishment they have won multiple awards and are now looking to grow their data function. This is a really exciting opportunity to be part of a greenfield working environment and work across a variety of projects.

THE ROLE

In this you will be instrumental in developing and implementing a comprehensive data governance framework. You will collaborate with cross-functional teams to define data policies, standards, and procedures, ensuring adherence to regulatory requirements and industry best practices. This is an exciting opportunity for a seasoned data governance professional who is passionate about shaping the data landscape of a forward-looking organization.

Responsibilities:

• Develop and implement a robust data governance framework, including policies, standards, and procedures.
• Collaborate with stakeholders to define and document data quality standards and metrics.
• Establish and enforce data governance best practices to ensure data integrity, security, and compliance.
• Lead efforts to classify and categorize data assets, and implement access controls based on sensitivity.
• Oversee data stewardship programs, ensuring accountability for data quality and ownership.
• Collaborate with IT and business units to implement and monitor data governance initiatives.
• Stay current on industry trends, regulations, and emerging technologies related to data governance.

Qualifications:

• Bachelor’s or Master’s degree in Information Management, Data Science, or a related field.
• Proven experience in data governance, data management, or a related role.
• In-depth understanding of data governance principles, practices, and industry standards.
• Familiarity with regulatory requirements related to data, such as GDPR, HIPAA, or other industry-specific standards.
• Strong communication and interpersonal skills, with the ability to influence and drive change.
• Experience in implementing data governance tools and technologies is a plus.

Benefits:

• Fantastic benefits on offer

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Data Business Analyst
Amsterdam, hybrid working
up to €80,000 including holiday allowance, plus bonus

This Data Business Analyst role offers the opportunity to shape how trusted data is governed and used across a complex international organisation. You will combine business analysis and data governance to identify data issues, improve data quality and lineage, and support the organisation’s transition towards more advanced data and AI capabilities.

The Company
They are a large international professional services organisation investing in their enterprise data capabilities. Their data governance function is focused on improving ownership, decision-making and collaboration across the business. The environment offers significant scope to establish practical governance processes and create measurable improvements across core business systems. You will join a global data team based in Amsterdam.

The Role
As a Data Business Analyst, you will bridge the gap between current business operations and future enterprise data capabilities. You will:

• Own and develop a central Data Issues Register, providing clarity on issues, priorities and required actions.
• Analyse datasets, processes and data flows across core business systems.
• Identify and document data quality, data lineage and ownership issues.
• Build on existing data mapping to understand the current state and define improvements.
• Produce clear, concise documentation that supports prioritisation and decision-making.
• Work with Data Owners to agree priorities and improve accountability.
• Contribute to the development of the Data Dictionary, Business Glossary, Critical Data Elements Register and Data Lineage Repository.
• Partner with IT teams, Data Stewards, Data Owners and business systems stakeholders.
• Support the continued development of the wider Data Governance Framework.

Your Skills & Experience

• Strong commercial experience in business analysis and data governance.
• Practical knowledge of data governance principles, practices and industry standards.
• Experience conducting gap analysis, process mapping and data-flow analysis.
• The ability to identify ambiguity, investigate underlying issues and establish clear requirements.
• Experience producing structured documentation for technical and non-technical stakeholders.
• Knowledge of project-based delivery, including scope, tasks and dependencies.
• Strong written and verbal communication skills.
• The ability to build consensus and align stakeholders around business value.
• A proactive approach, with the ability to progress work independently.
• Experience with data governance tools would be beneficial.
• Knowledge of data-related regulation, including GDPR or the EU AI Act, would be beneficial.
• A relevant bachelor’s or master’s degree is desirable but not essential.

What They Offer

• A salary of up to €80,000, including holiday allowance.
• An additional performance-related bonus.
• Hybrid working with three days per week in the Amsterdam office.
• The opportunity to help develop an emerging data governance capability.
• Exposure to enterprise data, governance and AI-related transformation.
• Scope to make a visible impact across an international organisation.

How to Apply
Apply now to be considered for this Data Business Analyst opportunity in Amsterdam.

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Data Governance Analyst

Amsterdam, The Netherlands (Hybride)

Up to 75k annually

About the Role

A leading international organisation is seeking a Data Governance Analyst to join its growing Data Team. This is an exciting opportunity to work in a greenfield environment, contributing to a wide range of data-focused initiatives and projects.

The Opportunity

Based in Amsterdam as part of the Central Data Team, you will help shape and drive the organisation’s data governance initiatives. You will focus on metadata and reference data management, taxonomy development, and data quality monitoring and improvement.

In this role, you will act as a subject matter expert, promoting data governance awareness across the organisation and collaborating closely with central teams to deliver measurable data governance and data quality outcomes.

Responsibilities

• Develop and implement the data governance framework, including data policies and standards.
• Design and manage data quality assurance programs to monitor, measure, and improve data quality.
• Lead initiatives related to master data, reference data, and taxonomy management.
• Maintain the business glossary to ensure consistent definitions, terminology, and understanding of key business terms across all departments.
• Collaborate with IT, business, and compliance teams to implement effective data governance solutions.

Qualifications

• Bachelor’s or Master’s degree in a relevant field.
• Proven experience in data governance, data management, or a related field.
• Strong understanding of data governance principles, practices, and industry standards.
• Ability to communicate the value and role of data governance to both business and technical audiences.
• Experience working in project-based environments with multiple tasks, dependencies, and deadlines.
• Ability to influence and build consensus across organisational boundaries.
• Experience with data governance tools (e.g., Microsoft Purview, Collibra) is a plus.
• Knowledge of regulatory requirements such as GDPR, EU AI Act, or HIPAA is advantageous.

Location: Amsterdam, Netherlands

Team: Central Data Team

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Data Governance Analyst
Amsterdam (Hybrid, 3 days in office) | Up to €80,000 inclusive of holiday allowance

This is an excellent opportunity for a Data Governance Analyst to join a growing data function at a pivotal stage of its development. You’ll play a key role in shaping how data is governed across the business, helping to build frameworks, improve data quality, and support AI readiness in a highly visible position with strong stakeholder exposure.

The Company
Our client is a large international organisation investing heavily in its Data Management capabilities. Data governance has become a strategic priority, with strong leadership support and a clear roadmap for improving data quality, consistency, and trust across the business.

The successful candidate will join a small, collaborative Data Governance team based in the Netherlands, working closely with senior stakeholders to establish governance best practices and support enterprise-wide data initiatives. The environment offers the opportunity to influence how governance is embedded across multiple business functions.

The Role
As a Data Governance Analyst, you will support the ongoing development and implementation of the organisation’s data governance framework while helping drive key initiatives across data quality, taxonomy management, and critical data elements.

Key responsibilities include:

• Supporting the delivery and operationalisation of a Data Governance Framework
• Partnering with business stakeholders across HR, Finance, Marketing, and other domains
• Identifying and defining critical data elements across key business functions
• Driving data quality monitoring, measurement, and improvement initiatives
• Contributing to taxonomy, metadata, and reference data management activities
• Supporting the development and maintenance of business glossaries, standards, and governance policies
• Promoting data governance best practices across technical and non-technical teams
• Working with data owners and subject matter experts to ensure consistent data definitions and usage
• Contributing to AI governance initiatives by helping improve data trust and quality
• Supporting cross-functional projects that improve data alignment across systems

Your Skills & Experience
To be successful in this Data Governance Analyst role, you will demonstrate:

• Strong commercial experience in data governance, data management, or a related discipline
• A solid understanding of data governance principles, frameworks, and best practices
• Experience delivering project-based initiatives and managing competing priorities
• The ability to engage effectively with both technical and business stakeholders
• Experience influencing and building consensus across teams
• Strong communication and stakeholder management skills
• A proactive and collaborative approach to problem solving

Desirable experience includes:

• Exposure to data governance platforms such as Microsoft Purview or Collibra
• Knowledge of GDPR, the EU AI Act, or related regulatory frameworks
• Experience working within complex, international organisations
• Exposure to taxonomy, metadata, master data, or reference data initiatives

What They Offer

• Salary up to €80,000 inclusive of holiday allowance
• Hybrid working model with 3 days per week in the Amsterdam area office
• Opportunity to help build and shape a developing Data Governance function
• High visibility across the organisation and direct access to key stakeholders
• Exposure to strategic AI, data quality, and governance programmes
• Strong opportunities for professional growth and ownership
• Sponsorship transfer support available where required

How to Apply
If you’re a Data Governance Analyst looking for a role where you can make a genuine impact while helping shape governance capabilities from the ground up, apply today to learn more.

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Director, Public & Private Cloud Engineering

A global semiconductor and engineering-led organisation is looking for a Director of Public & Private Cloud Engineering to lead an enterprise cloud platform organisation focused on connecting private and public cloud into one unified environment.

This is a highly strategic leadership role with a strong delivery focus, leading a global engineering organisation across cloud platform engineering, SRE, DevOps, and infrastructure functions.

The Role

Reporting into senior technology leadership, this person will oversee an organisation of 50-100 engineers and leaders across the US and India while driving the evolution of a connected cloud platform environment across both private and public cloud.

The organisation already has strong technical capability across cloud and infrastructure, but the current environment remains fragmented across teams and platforms. This role is focused on bringing those environments together, building alignment across engineering functions, and driving platform delivery across the business.

Key Responsibilities

* Lead a global cloud engineering organisation across platform engineering, SRE, DevOps, and infrastructure
* Drive strategy and delivery across both private and public cloud environments
* Connect siloed infrastructure and platform functions into a unified cloud platform
* Partner closely with senior technical leadership and architecture teams to deliver cloud initiatives
* Oversee Kubernetes, compute, storage, networking, GPU infrastructure, and cloud services across modern environments
* Improve reliability, scalability, automation, and operational efficiency across cloud platforms
* Build trust, autonomy, and strong engineering culture across distributed teams
* Drive modern infrastructure practices using open source tooling and infrastructure-as-code approaches

Required Experience

* 12+ years across cloud, infrastructure, platform engineering, or private cloud environments
* Experience leading managers and senior engineering leaders within enterprise organisations
* Strong experience across both private and public cloud environments
* Deep expertise across AWS plus additional public cloud exposure preferred
* Strong infrastructure automation and IaC experience using Terraform, Ansible, Python, or similar tooling
* Experience building or scaling internal infrastructure platforms or cloud engineering environments
* Strong understanding of networking, security, distributed systems, and infrastructure operations
* Proven ability to deliver technical strategy within complex engineering environments

Preferred Background

* Kubernetes or OpenShift platform leadership experience
* Experience within large enterprise or engineering-led organisations
* Exposure to AI/ML, GPU, or high-performance compute environments
* Strong open source tooling experience

This is a highly visible leadership opportunity within a global engineering environment offering significant ownership, long-term platform impact, and executive-level exposure.

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