AVP, Product & Engineering - Global AI Talent and Data Platform (Confidential Search)

Qualifications

• What you bring To thrive in this role you will likely bring 10+ years of experience in product and engineering, with at least 5 years leading multi team organisations at Senior Director or similar level
• Proven success scaling two sided platforms, marketplaces or high volume SaaS or data ecosystems
• Strong technical depth in distributed systems, workflow automation and cloud native infrastructure (AWS, GCP or Azure)
• Strong communication skills with technical and non technical stakeholders, including executive leadership
• Experience owning payments, KYC, compliance or trust and safety in a multi country context
• Background in AI data, GenAI or data infrastructure platforms
• Work pattern: Hybrid or remote first, with some travel to key offices and leadership meetings as needed
• Requirements Key requirements 10+ years in product and engineering, including 5+ years leading multi-team organisations at Senior Director or similar level
• Proven success scaling two-sided platforms, marketplaces, or high-volume SaaS or data ecosystems
• Strong technical depth in distributed systems, workflow automation, and cloud native infrastructure (AWS, GCP, or Azure)
• Experience integrating ML or AI into production platforms for matching, personalisation, or fraud and quality signals
• Strong communication skills with technical and non-technical stakeholders, including executive leadership
• Opportunity to own product and engineering for a core AI platform that is scaling globally

Benefits

• Package Competitive base salary in the region of USD 250,000
• Performance based bonus or OTE, with additional long term upside for strong and sustained performance
• Benefits Competitive base salary around USD 250,000 with performance based bonus
• Flexible work set up with hybrid or remote options, depending on location

Responsibilities

• You will own the product and engineering direction, from architecture to execution, as it scales to millions of transactions with enterprise grade reliability
• The opportunity In this role you will own the product and engineering strategy for a two sided AI talent and data platform
• You will lead multiple teams, work closely with senior commercial and delivery stakeholders, and be accountable for reliability, speed of delivery and the long term technical roadmap
• What you will do Own the product and engineering vision for the platform, in partnership with executive leadership
• Lead multiple engineering and product teams responsible for matching, workflows, payments, security and compliance
• Design and evolve architectures that support high transaction volumes, global onboarding, workflow automation and payouts
• Integrate ML and AI into the platform for matching, personalisation, fraud detection and quality prediction
• Establish and track metrics and dashboards for reliability, performance and product health
• Build and reinforce engineering and product practices that support fast, safe delivery at scale
• Partner with commercial and delivery leaders to align the roadmap with customer needs and growth priorities
• Attract, develop and retain senior engineering and product talent across multiple locations
• Experience integrating ML or AI into production platforms for matching, personalisation or fraud and quality signals
• Track record managing globally distributed teams through periods of growth and change
• Location and set up Location flexible for senior candidates, with a preference for major tech hubs in North America or similar time zones
• Track record leading globally distributed engineering and product teams through growth and change
• Senior level role with direct influence on technical roadmap, architecture and ways of working

Full Description

If you have already taken a high volume platform from "working" to "critical infrastructure" and you want your next build to sit at the heart of how global AI workforces are orchestrated, this role is designed for you.

Our client is scaling a global platform that connects expert talent and AI projects across hundreds of markets.

You will own the product and engineering direction, from architectureto execution, as it scales to millions of transactions with enterprise grade reliability.

About our client Our client is a global AI and data company that helps leading technology and enterprise organisations build and scale production grade AI.

Their platform processes large volumes of expert and project interactions, powers AI driven matching and workflow orchestration, and supports secure payments and compliance across many countries.

The work is global, high scale and closely tied to strategic AI initiatives for technology and enterprise customers.

The opportunity In this role you will own the product and engineering strategy for a two sided AI talent and data platform.

You will lead multiple teams, work closely with senior commercial and delivery stakeholders, and be accountable for reliability, speed of delivery and the long term technical roadmap.

What you will do Own the product and engineering vision for the platform, in partnership with executive leadership.

Lead multiple engineering and product teams responsible for matching, workflows, payments, security and compliance.

Design and evolve architectures that support high transaction volumes, global onboarding, workflow automation and payouts.

Integrate ML and AI into the platform for matching, personalisation, fraud detection and quality prediction.

Establish and track metrics and dashboards for reliability, performance and product health.

Build and reinforce engineering and product practices that support fast, safe delivery at scale.

Partner with commercial and delivery leaders to align the roadmap with customer needs and growth priorities.

Attract, develop and retain senior engineering and product talent across multiple locations.

What you bring To thrive in this role you will likely bring 10+ years of experience in product and engineering, with at least 5 years leading multi team organisations at Senior Director or similar level.

Proven success scaling two sided platforms, marketplaces or high volume SaaS or data ecosystems.

Strong technical depth in distributed systems, workflow automation and cloud native infrastructure (AWS, GCP or Azure).

Experience integrating ML or AI into production platforms for matching, personalisation or fraud and quality signals.

Track record managing globally distributed teams through periods of growth and change.

Strong communication skills with technical and non technical stakeholders, including executive leadership.

It is a plus if you also have Experience from talent marketplaces, on demand platforms or other high transaction environments.

Experience owning payments, KYC, compliance or trust and safety in a multi country context.

Background in AI data, GenAI or data infrastructure platforms.

Location and set up Location flexible for senior candidates, with a preference for major tech hubs in North America or similar time zones.

Work pattern: Hybrid or remote first, with some travel to key offices and leadership meetings as needed.

Package Competitive base salary in the region of USD 250,000. Performance based bonus or OTE, with additional long term upside for strong and sustained performance.

About the process This is a confidential search led by ResourceWell, a boutique executive search and talent advisory firm specialising in AI & Data, Software and Global Communication.

If your experience is close to what we describe here and you are open to a confidential conversation, you are welcome to apply or reach out directly.

We will share more about the company, context and expectations with shortlisted candidates and explore what would need to be true for a move to make sense for you.

Requirements Key requirements 10+ years in product and engineering, including 5+ years leading multi-team organisations at Senior Director or similar level.

Proven success scaling two-sided platforms, marketplaces, or high-volume SaaS or data ecosystems.

Strong technical depth in distributed systems, workflow automation, and cloud native infrastructure (AWS, GCP, or Azure).

Experience integrating ML or AI into production platforms for matching, personalisation, or fraud and quality signals.

Track record leading globally distributed engineering and product teams through growth and change.

Strong communication skills with technical and non-technical stakeholders, including executive leadership. For full context, please see the job description above.

Benefits Competitive base salary around USD 250,000 with performance based bonus.

Opportunity to own product and engineering for a core AI platform that is scaling globally.

Senior level role with direct influence on technical roadmap, architecture and ways of working.

Flexible work set up with hybrid or remote options, depending on location.

Full details will be shared with shortlisted candidates.