Engineering Manager, AI Platform Job at Airtable (San Francisco)

Engineering Manager, AI Platform

We are seeking a highly skilled and motivated Engineering Manager to lead our AI...

Location

Singapore , Singapore

Salary:

Not provided

Airwallex

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
Minimum 10+ years of experience in software engineering or AI/ML development
At least 3 years in a leadership role managing high-performing teams
Proficiency in programming languages such as Python
Strong understanding of AI/ML frameworks and libraries (e.g.,Langgraph)
Experience with cloud platforms (e.g., Google Cloud) and containerization technologies (e.g., Docker, Kubernetes)
Proven ability to build, lead, and inspire a diverse team
Strong analytical and problem-solving skills
Excellent verbal and written communication skills
Passionate about AI and technology with a keen interest in staying updated on the latest trends

Job Responsibility

Develop and execute the strategy for the AI team
Build, mentor, and lead a high-performing team of software engineers, and AI specialists
Partner closely with Product, Design, and Operations to define the roadmap
Serve as the accountable owner for the architecture and system quality across our AI services
Guide architectural designs, review critical models and APIs
Champion best practices for the entire AI lifecycle
Own the operational health of our production AI systems
Lead the talent strategy for your organization
Effectively communicate progress, insights, and the business impact of AI initiatives to executive leadership

Fulltime

Engineering Manager, AI Platform

Lead the vision, strategy, and execution to enable and scale AI-powered features...

Location

Germany , Berlin

Salary:

Not provided

GetYourGuide

Expiration Date

Until further notice

Requirements

Strong sense of ownership
Open-minded approach to complex topics with a focus on simplicity
Strong engineering background in platform engineering, infrastructure, or developer tooling
Ability to lead and contribute to technical, design, and product discussions
Passion for building and developing a high-performing engineering team
Excellence in evangelism and education

Job Responsibility

Lead all hiring and performance management processes for your Engineering team
Drive high-impact projects and outcomes by managing the team's roadmap and portfolio allocation
Find and deliver solutions to complex technical challenges that span across multiple services and business domains
Establish and evangelize best practices for LLM development across Tech
Balance rapid innovation with production standards
Build strategic partnerships with key stakeholders across product, engineering leadership, and vendor relationships

What we offer

Annual personal growth budget and mentorship programs
Work from anywhere in the world for 30 days per year
Flexible working arrangements
Quarterly team events and yearly company-wide events
Monthly transportation and fitness budget
Discounts for you, your friends, and family on GetYourGuide activities
Language reimbursement program
Health and wellness benefits
Monthly allowance for transport (Deutschland ticket)
Bonuses for successful employee referrals

Fulltime

Software Engineering Manager - AI Platform Development

Are you passionate about building platforms that combine deep systems innovation...

Location

Spain , Barcelona

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science or related technical discipline or equivalent practical experience
6 or more years of professional software engineering experience
2 or more years of experience leading or managing engineering teams
Strong technical depth in distributed systems, database systems, cloud platforms, or large-scale backend services
Experience designing and delivering complex systems or platform capabilities in production environments
Proven ability to lead teams delivering large engineering initiatives across multiple components and services
Strong ability to guide technical discussions, evaluate architecture, and mentor engineers on system design and implementation

Job Responsibility

Lead and grow a high performing engineering team building core platform capabilities in Azure PostgreSQL that enable intelligent application development
Provide strong technical leadership by guiding architecture, system design, and critical technical decisions across the platform
Drive the development and delivery of scalable platform capabilities including APIs, SDKs, and extensibility layers that expose advanced PostgreSQL functionality to developers
Ensure the team delivers reliable, secure, and scalable services by establishing strong engineering fundamentals and operational excellence
Coach and develop engineers through mentorship, technical guidance, and career development while building an inclusive and high trust team environment
Partner with teams across the PostgreSQL engine, platform services, developer tooling, and cloud infrastructure to deliver cohesive platform experiences
Engage with developer communities, partners, and open-source ecosystems to gather feedback and help shape the evolution of the platform
Embody our culture and values

Fulltime

Senior Manager, AI Platform Engineering

Socure is building the identity trust infrastructure for the digital economy — v...

Location

United States

Salary:

190000.00 - 210000.00 USD / Year

Socure

Expiration Date

Until further notice

Requirements

8+ years of professional software engineering experience, including time spent building or operating large-scale ML, data, or distributed systems platforms
3+ years of engineering leadership experience managing multiple teams or engineering managers
Strong technical background in ML infrastructure, data engineering, and/or cloud-native distributed systems
Demonstrated experience delivering complex, cross-functional platform initiatives
Excellent communication and stakeholder management skills, with the ability to translate between technical detail and business priorities
Experience working in fast-paced, iterative environments using modern development practices

Job Responsibility

Develop and own the roadmap for Socure’s AI/ML platform, including data and feature engineering workflows, training infrastructure, experimentation tooling, model deployment/serving, monitoring, and governance
Define architecture and standards that create clear, scalable, and secure paths for building and operating AI systems
Assess technology options and drive consolidation across the company to reduce fragmentation and improve consistency across the ML toolchain
Partner with Data Science, Engineering, Product, and Sales-Enablement teams to develop AI infrastructure that delights Customers
Lead the design and operation of the end-to-end ML lifecycle: data ingestion, feature engineering, experimentation, training, model registry, deployment, and continuous monitoring
Partner closely with Data Science to enable fast, reproducible experimentation and reduce operational friction
Ensure the platform delivers reliability, traceability, observability, and performance for both batch and real-time model workloads
Guide the team to deliver high-quality platform capabilities with predictable timelines and strong technical rigor
Remove cross-team bottlenecks, align dependencies, and ensure seamless execution across Data, Infrastructure, and Product
Establish SLAs, operational standards, and production-readiness guidelines for ML pipelines and serving systems

What we offer

Offers Equity
Offers Bonus
benefits

Fulltime

Engineering Manager - AI Cloud Platform

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serv...

Location

United States , San Francisco

Salary:

330000.00 - 440000.00 USD / Year

Lambda

Expiration Date

Until further notice

Requirements

5+ years in a full-time management role at a high-growth technology company
10+ years of industry experience in software engineering, with a focus on large-scale distributed systems and backend systems
Proven record of leading and building engineering teams that work on mission-critical, high performance systems
Proven track record leading teams that deliver enterprise features or governance platforms
Exceptional leadership skills that encompass leading by trust, building empathy with your reports and other teams, and maintaining a sustainable but rapid velocity
Demonstrated expertise in managing long-term projects alongside urgent, short-term priorities and incident resolution
Extensive experience collaborating with product, sales, and other engineering teams to build cohesive products with a focus on user experience and reliability
Ability to understand, review and structure Python and Go applications

Job Responsibility

Lead the AI Cloud Core Platform team of ~6 engineers, with end-to-end ownership of Cloud Platform and governance capabilities
Drive execution of roadmap features including cluster lifecycle automation
Partner closely with Product and Design to ensure the user experience matches the needs of enterprise customers
Balance rapid feature delivery with longer-term investments in scalability, observability, and platform design
Hire, mentor, and grow a team of engineers, providing career development and feedback
Collaborate with other Lambda teams (Control Plane, Billing, Platform) to ensure smooth, integrated delivery across the stack
Contribute to a culture of high performance, documentation, humility, and curiosity
Be product-focused in your leadership and execution, always placing the needs of the customer first, with a particular focus on feature velocity, reliability and security
Shape a culture of sustainable, empathetic, and high-velocity engineering, with a deep focus on cross-team collaboration, documentation, and data-driven decision-making

What we offer

Generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use

Fulltime

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
Cycle-to-Work Scheme
MacBooks are our standard, but we also offer Windows for certain roles when needed

Fulltime

Principal Engineering Manager, Core Platform & AI Systems

We are looking for a Principal Engineering Manager, Core Platform & AI Systems t...

Location

United States , Seattle

Salary:

208000.00 - 313000.00 USD / Year

Highspot

Expiration Date

Until further notice

Requirements

10+ years of software engineering experience with 4+ years in engineering leadership roles
Experience managing senior/principal engineers, ideally across multiple functional areas
Strong technical background in cloud-native distributed systems, platform engineering, or AI/ML infrastructure
Proven track record of scaling SaaS platforms and leading teams responsible for mission-critical backend systems
Experience working closely with cross-functional teams such as Product, Infrastructure, AI/ML, and Security
Deep understanding of reliability, operational excellence, and cost optimization in cloud environments (AWS, Azure, GCP)
Excellent communication, collaboration, and executive stakeholder management skills
Passion for developing people and building strong, healthy engineering teams

Job Responsibility

Lead and grow the Core Platform & AI Systems team
Drive the technical roadmap for the platform, ensuring scalability, performance, availability, and cost-efficiency
Partner closely with product engineering teams to deliver platform capabilities that unlock business features while simplifying the developer experience
Collaborate with Data Science, ML, and AI teams to provide robust ML Ops and AI infrastructure that enables rapid experimentation and production-grade AI deployments
Own platform-wide reliability and operational health, continuously investing in observability, incident management, and system resilience
Contribute to architectural decisions that shape the long-term direction of Highspot’s SaaS platform
Attract, retain, and develop top engineering talent, building a high-performing and inclusive team culture
Communicate effectively with senior leadership, providing visibility into roadmap progress, technical trade-offs, and organizational needs

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

Engineering Manager, Enterprise AI Platform

At Cloudera, we empower people to transform complex data into clear and actionab...

Location

India , Bangalore

Salary:

Not provided

Cloudera

Expiration Date

Until further notice

Requirements

8+ years of experience in building enterprise software
2+ years of management experience
Strong written and oral communication skills
Good understanding of Engineering best practices
Experience with containerization frameworks like Kubernetes, Docker
Strong Understanding of Distributed Systems and building systems at scale
Should be able to drive the architecture/design and provide technical direction & guidance to the team
Self-driven and motivated, with a strong sense of ownership and craftsmanship
Experience with open source foundation models, prompt engineering, fine-tuning, and Retrieval-Augmented Generation (RAG)
Experience with Generative AI frameworks (LangChain, Guidance, etc.)

Job Responsibility

Manage the team(s) located in Bangalore, India to help drive the development of Cloudera’s next-generation AI and machine learning platform
Responsible for managing a team that will design, build, and deliver a platform that not only accelerates machine learning & AI from exploration to production but also enables enterprises to create & deploy Generative AI applications using foundation models with enterprise data at scale
Work with Product Managers to define what capabilities should be built in the product
Work with Product Managers to understand customer use cases and help them use our products effectively
Responsible for the growth of your reports
Fill in to address gaps in process / practices followed by the team / organization
Lead by example

What we offer

Generous PTO Policy
Support work life balance with Unplugged Days
Flexible WFH Policy
Mental & Physical Wellness programs
Phone and Internet Reimbursement program
Access to Continued Career Development
Comprehensive Benefits and Competitive Packages
Paid Volunteer Time
Employee Resource Groups

Fulltime

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Engineering Manager, AI Platform

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