Senior Engineering Manager, Data & AI Products

Stack

Responsibilities

• ▹Build, lead, and develop multidisciplinary teams as a hands-on builder; Data & AI Products includes Applied AI Engineers, Data Scientists, and ML Scientists, while Data Serving includes Backend Engineers, Data Platform Engineers, and Data Engineers
• ▹Own delivery for both teams: AI feature delivery for customers and the API/serving layer that underpins it
• ▹Partner with product teams to define the AI feature roadmap
• ▹Drive quality and trust standards across AI feature development: evaluation methodologies, production monitoring, 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, translating technical progress and blockers into clear decisions
• ▹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, hiring, developing, and retaining senior technical talent in a competitive market
• ▹Strong product and business acumen: able to shape a roadmap with PMs and designers, not just execute one handed to you
• ▹Track record shipping with quality under velocity pressure (AI features and production APIs both carry high trust requirements)
• ▹Comfortable managing across distinct team mandates with different profiles, stakeholders, and rhythms
• ▹Experience scaling teams from 0 to 1 in ambiguous environments

Nice to have

• ▹Familiarity with the tech stack: AWS, Kotlin, Python, Kubernetes, LiteLLM, BrainTrust, Temporal, LLM APIs
• ▹Experience developing your own agentic solutions

Soft skills

What we offer

• ▹Your own Pleo card
• ▹Lunch covered on work days (catered meals or allowance depending on office)
• ▹Comprehensive private healthcare (Vitality, Alan, or Médis depending on location)
• ▹25-28 days of holiday (depending on location) + public holidays
• ▹Hybrid and fully remote working options
• ▹Option to purchase 5 additional holiday days via salary sacrifice
• ▹MyndUp: free mental health and well-being support
• ▹Paid parental leave

About the company

Pleo builds spend management solutions that make managing money seamless and effective for finance teams and employees. The company has been operating for 10 years, employs 850+ people from over 100 nationalities, and serves more than 40,000 customers.