Engineering Manager, AI Platform Job at Airwallex (Singapore)

Engineering Manager, AI Platform

Lead Airtable's AI Platform pod, which builds the foundational infrastructure an...

Location

United States , San Francisco; New York City

Salary:

240000.00 - 339900.00 USD / Year

Airtable

Expiration Date

Until further notice

Requirements

Platform builder at heart: think in systems and abstractions
experience building infrastructure other teams depend on
Technical depth with strategic thinking
Systems thinker with shipping velocity
AI infrastructure experience: worked on ML platforms, agent frameworks, or AI infrastructure at scale
Quality through architecture
Strong technical and management growth trajectory: 5+ years experience as an engineer (previously in a staff or TL level IC position) and 1+ years as a manager, or a similar combination

Job Responsibility

Build the AI platform foundation: own the core agent architecture, orchestration layer, and runtime
Design for platform scale: create robust abstractions and APIs
Establish AI reliability systems: build evaluation frameworks, monitoring, and quality assurance systems
Drive technical strategy: partner with Staff+ engineers to define the technical roadmap
Enable AI democratization: build platform capabilities that make sophisticated AI accessible to all Airtable users

What we offer

Benefits
Restricted stock units
Incentive compensation

Fulltime

Senior Engineering Manager - AI

We are seeking a Senior Engineering Manager (Level 5) to lead a high-performing ...

Location

India , Chennai

Salary:

Not provided

Arcadia

Expiration Date

Until further notice

Requirements

15+ years of professional experience in software engineering
At least 4+ years in engineering leadership roles
Strong technical background in AI/ML systems, large-scale data pipelines, and cloud-native platforms
Hands-on experience with Python (preferred), modern ML frameworks (PyTorch/TensorFlow), and cloud services (AWS)
Proven success in managing teams of 4–6 engineers, scaling processes, and building diverse, high-performance teams
Strong architectural design and system-thinking abilities
Excellent communication skills with ability to influence cross-functional stakeholders
Passion for sustainability, decarbonization, and using technology to create positive climate impact
Experienced with building agentic pipelines with the latest models from Anthropic, Google, OpenAI, and more

Job Responsibility

Lead and grow a team of engineers focused on building AI-driven and data-intensive systems for the Arcadia platform
Design and train ML/AI models (forecasting, NLP, graph learning, generative AI) to improve data quality, cost effectiveness, and system scalability
Build true agentic workflows with multi-step processing incorporating RAG pipelines and MCPs
Balance management responsibilities (hiring, coaching, performance reviews, career growth) with technical leadership (architecture, system design, technical strategy)
Drive end-to-end delivery of complex projects in partnership with Product, Data, and Infrastructure teams
Guide the adoption of modern AI/ML technologies, ensuring practical, scalable use in production
Foster a culture of high performance, ownership, and technical excellence
Establish engineering best practices in testing, observability, reliability, and CI/CD
Partner with leadership to define roadmaps, set priorities, and align execution with Arcadia’s strategic goals
Represent AI across the company, articulating technical trade-offs and championing innovation

What we offer

Competitive compensation and employee stock options
Hybrid/remote-first working model (India-based role, with global collaboration)
Flexible leave policy
Comprehensive medical insurance (self + family members)
Annual performance cycle + quarterly recognition awards
A supportive, diverse engineering culture grounded in empathy, teamwork, and innovation

Fulltime

Engineering Manager - Product & Platform

Arize AX is the AI & Agent Engineering Platform – one place to develop, evaluate...

Location

United States

Salary:

180000.00 - 250000.00 USD / Year

Arize

Expiration Date

Until further notice

Requirements

You’ve been both an IC and a manager – you know what great engineering looks like at the system and code level, and you know how to build and lead teams
Strength across both product/fullstack engineering and backend/infrastructure – comfortable moving between customer-facing workflows and the systems that power them
Experience balancing people leadership, project execution, and technical depth
Clear, direct communicator who builds trust across teams

Job Responsibility

Contribute as an engineer on complex product and infrastructure challenges – building features that customers touch and scaling the systems behind them
Lead a team of engineers and tech leads – hiring, mentoring, and creating the conditions for them to do the best work of their careers
Drive projects end-to-end – ensuring scope is clear, trade-offs are well understood, and delivery is predictable
Work cross-functionally with Product and Design to set direction, and with Solutions and Support to make sure we’re solving the real problems our customers face in production

What we offer

medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, others for mental and wellness support, competitive equity package, WFH monthly stipend to pay for co-working spaces

Fulltime

Engineering Manager for B2B Platform

Groupon is on a radical journey to transform our business with relentless pursui...

Location

Salary:

Not provided

Groupon

Expiration Date

Until further notice

Requirements

8+ years of software engineering experience
2+ years leading teams (ideally in scale-up/start-up or high-growth environments)
Strong hands-on backend knowledge (TypeScript/Node.js, Java
Python for AI/ML are a plus)
Confident shipping modern web apps (React), distributed systems, and cloud infrastructure (GCP preferred)
Communicator & Builder—adept at translating business priorities into technical roadmaps, making the complex simple for diverse stakeholders
Builder’s Mindset: Comfortable with ambiguity, moving fast, iterating, and modernizing legacy systems

Job Responsibility

Build & Lead a high-performing, diverse team (5–6 engineers) across EMEA and India
Code & Mentor: Be a hands-on leader—actively developing alongside your team in TypeScript (Encore), Python (AI agents), and React
Architect the Future: Own the design and evolution of our AI-powered agent platform, incorporating RAG pipelines, vector stores, and robust evaluation frameworks
Modernize & Move Fast: Overhaul critical workflows, automate deal and merchant onboarding with AI, and deliver pragmatic improvements with business impact
Collaborate Globally: Work side-by-side with product managers, data scientists, UX, and senior engineering leaders to drive high-impact outcomes
Champion AI Innovation: Leverage and advocate for AI tools every day—in how you build, lead, and solve real business challenges

What we offer

Greenfield & Visible: Build on a new codebase, shape engineering culture, and make a measurable impact from day one
AI-First Company: Be part of a true transformation, leveraging AI in live, critical commerce workflows—not just R&D
Career Growth: Lead your own team, influence platform and tech direction, and help rebuild an iconic global business at scale
Modern Ways of Working: Remote-first options, flexible hours, high-trust and support from senior tech/product leadership

Senior Platform Engineer - CI/CD & AI Automation (AI-first)

Groupon is undergoing a critical platform transformation, modernizing its core d...

Location

Czechia , Prague

Salary:

Not provided

Groupon

Expiration Date

Until further notice

Requirements

5+ years of dedicated experience in Platform Engineering, DevOps, or Infrastructure roles
Deep expertise building, scaling, and migrating CI/CD systems, with strong practical experience in Jenkins and/or GitHub Actions
Expertise in scripting and automation (Python, Go, or Bash)
Solid understanding of container technologies, Kubernetes, and cloud build systems
Proven experience leveraging AI tooling (e.g., Claude Code, code analysis) to meaningfully increase developer output and optimize platform work
Excellent communication and ability to drive technical decisions across multiple platform and product teams

Job Responsibility

Platform Transformation: Lead the design, planning, and execution of the Jenkins-to-GitHub Actions migration across a large portfolio of microservices
Pipeline Engineering: Design and optimize high-performance, secure, and observable CI/CD workflows across GitHub Actions, Jenkins, and Kubernetes environments
AI-First Automation: Drive an AI-First workflow by leveraging tools (e.g., Copilot, code generation) to eliminate infrastructure toil, accelerate development, and analyze pipeline failures
Core Automation: Develop robust platform automation (e.g., Python, Go, Bash) to improve build efficiency, artifact caching, reliability, and repository hygiene
Security & Compliance: Harden CI/CD infrastructure with robust controls for secrets management, RBAC, audit logging, and secure runner design
Observability: Implement and enhance CI/CD observability using tools like Prometheus, Grafana, and OpenTelemetry to provide deep insights into performance and reliability
Technical Leadership: Mentor engineers and partner across Cloud, Security, and Developer Experience teams to define and evolve our end-to-end delivery platform architecture

Principal Engineering Manager - Applied AI

We are looking for a Principal Engineering Manager to join our growing Applied A...

Location

United States , Seattle

Salary:

240870.00 - 297652.00 USD / Year

Highspot

Expiration Date

Until further notice

Requirements

2+ years of experience in Generative AI and Agentic AI systems, including LLMs, context engineering, and modern vector-based retrieval systems
4+ years working as an engineering manager
8+ years working as a professional software developer
A great understanding of Generative AI systems, best practices and experience in shipping Agentic AI into distributed, data-intensive production systems
Experience developing and operating Cloud services at enterprise scale
Strong programming skills in Java, Python, C#, Typescript or equivalent programming language
Substantial depth and breadth of management experience to lead and grow an Applied AI team
Great collaboration with teams with different backgrounds/expertise/functions
Expertise in full product lifecycle
technical designs, project planning, iterative implementation, and successful product launches

Job Responsibility

Lead a team of Applied AI engineers that works at the bleeding edge of Generative AI to solve high-impact business challenges
Apply Generative AI to solve hard unsolved challenges in the application of Agentic AI to real-world business challenges
Grow, coach, build and scale the Applied AI team
Drive operational excellence to achieve enterprise-grade scale, reliability, security, cost-efficiency and performance
Drive technical direction for building a safe, scalable and reliable Agentic AI platform for all of Highspot
Communicate complex concepts and the results of analyses in a clear and effective manner to technical and non-technical audiences
Collaborate with other team members and cross-functionally to share knowledge and discuss initiatives

What we offer

Comprehensive medical, dental, vision, disability, and life benefits
Health Savings Account (HSA) with employer contribution
401(k) Matching with immediate vesting on employer match
Flexible PTO
8 paid holidays and 5 paid days for Annual Holiday Week
Quarterly Recharge Fridays (paid days off for mental health recharge)
18 weeks paid parental leave
Access to Coaches and Therapists through Modern Health
2 volunteer days per year
Commuting benefits

Fulltime

AI Engineering Manager

Orbis is partnering with a leading global private-markets investment firm that r...

Location

United Kingdom , London

Salary:

Not provided

Orbis Consultants

Expiration Date

Until further notice

Requirements

Microsoft Heavy Environment (C#/.NET and Python)
Azure-centric: Azure Data Platform, Azure Databricks, Azure data services
Comfortable across Data engineering (pipelines, data platform, AI-enabling data work)
Knows current GenAI/AI tools, frameworks, model types, public vs private model risks, compliance considerations
Financial Services background (ideally private equity/private markets)
Very strong communication and stakeholder skills

Job Responsibility

Lead their AI / automation agenda
Own both product engineering and data engineering across a team of ~15–20 engineers (onshore + offshore)
Responsible for setting the strategy for AI and automation use cases

Senior Engineering Manager - AI Core Platform

We’re hiring a Senior Engineering Manager (or high-potential EM2) for the Core P...

Location

Ireland , Dublin

Salary:

Not provided

Intercom

Expiration Date

Until further notice

Requirements

Experience leading engineering teams, ideally across infrastructure or platform domains
Recent hands-on coding experience — you’ve shipped production code in the last couple of years
Strong technical judgment and the ability to coach senior engineers through complex architectural trade-offs
Adaptable leadership style suited to a group that will grow quickly, and change shape over time
Curiosity and enthusiasm for AI, with a desire to learn how ML systems are developed and operated in production

Job Responsibility

Lead a high-performing team building the platform and infrastructure that power Intercom’s AI capabilities
Contribute directly to production code, staying close to the work and building knowledge & context through first-hand experience
Support teams of ML Scientists and Engineers building AI powered capabilities
Plan, prioritize, and deliver high-impact roadmaps in partnership with the team’s most senior engineers, balancing delivery, quality, and innovation
Improve developer experience across the AI infrastructure stack, ensuring that systems are observable, scalable, and easy to build upon
Empower the engineers on the team to act with agency and maximize their impact
Expand your scope over time, potentially taking ownership of additional platform domains as the team and AI initiatives grow

What we offer

Competitive salary and equity in a fast-growing start-up
We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
Regular compensation reviews - we reward great work
Pension scheme & match up to 4%
Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
Flexible paid time off policy
Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too
MacBooks are our standard, but we also offer Windows for certain roles when needed

Fulltime

Engineering Manager, AI Platform

Airwallex

Location:
Singapore , Singapore

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 21, 2026

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