Senior Engineering Manager, Data & AI Products
This Senior Manager role spans two of Pleo's newest teams: Data & AI Products, which builds customer-facing features using data, AI or ML, and Data Serving, which owns the production-grade data layer that downstream product teams, AI agents and external customers depend on. It is a data and engineering leadership role with a strong product backbone, designed for a builder-leader who stays close enough to the work to shape technical direction, unblock delivery and raise the quality bar across both teams. The role reports to the VP of Data.
Responsibilities
- ▹Build, lead and develop multidisciplinary teams (Applied AI Engineers, Data Scientists, ML Scientists on Data & AI Products; Backend, Data Platform and Data Engineers on Data Serving)
- ▹Own delivery for both teams: customer AI feature delivery and the API and serving layer that underpins it
- ▹Partner with product teams to define the AI feature roadmap and advocate for Pleo's customers
- ▹Drive quality and trust standards through evaluation methodologies, production monitoring and responsible AI practices
- ▹Ensure the serving layer meets the reliability and latency requirements of production AI features, product teams and external customers
- ▹Manage resourcing and hiring across both teams through a period of growth
- ▹Represent both teams in leadership and cross-functional discussions
- ▹Partner with the Manager of GenAI Platform to ensure product demand shapes the platform roadmap
Requirements
- ▹Proven experience leading cross-functional teams building AI-powered or data-intensive customer-facing products
- ▹Technical depth in at least one of: AI product engineering, real-time reporting/analytics data APIs, or ML systems
- ▹Experience building or substantially growing teams, and hiring, developing and retaining senior technical talent
- ▹Strong product and business acumen, able to shape a roadmap with PMs and designers rather than just execute one
- ▹Track record shipping with quality under velocity pressure
- ▹Comfort managing across distinct team mandates with different profiles, stakeholders and rhythms
- ▹Experience scaling teams from the ground up and operating in ambiguous environments
- ▹Enough familiarity with the tech stack (AWS, Kotlin, Python, Kubernetes, LiteLLM, BrainTrust, Temporal, LLM APIs) to make good trade-off decisions
Soft skills
What we offer
- ▹Own Pleo card (no more out-of-pocket spending)
- ▹Lunch covered on work days (catered meals or a lunch allowance)
- ▹Comprehensive private healthcare (Vitality, Alan or Médis depending on location)
- ▹25–28 days of holiday (depending on location) plus public holidays
- ▹Hybrid and fully remote working options
- ▹Option to purchase 5 additional holiday days via salary sacrifice
- ▹Free mental health and wellbeing support via MyndUp
- ▹Paid parental leave
About the company
Pleo builds spend management solutions that make managing company money seamless and effective for finance teams and employees alike, with a vision to help all businesses 'go beyond'. Over its 10-year history the company has grown to a team of 850+ people from over 100 nationalities, serving more than 40,000 customers.