Engineering Manager, Platform
FleetioSalary not specified
Full Time
Expert & Leadership (9+ years)
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, AI, No-Code PlatformsIndustries
Requirements
- Platform builder at heart: Thinks in systems and abstractions, has built infrastructure that other teams depend on, and understands how to balance flexibility with reliability
- Technical depth with strategic thinking: Can dive deep into architectural decisions while keeping sight of the broader platform vision and how it enables the business
- Systems thinker with shipping velocity: Can architect for the long term while delivering incremental value, knows how to build platforms through iteration rather than big-bang releases
- AI infrastructure experience: Has worked on ML platforms, agent frameworks, or AI infrastructure at scale, understands the unique challenges of building reliable systems on top of probabilistic models
- Quality through architecture: Believes the best way to ensure quality is through well-designed systems that make it easy to do the right thing
- 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
- Based in San Francisco or New York City, open to coming into the office at least ~2-3 times/week for team collaboration
Responsibilities
- Build the AI platform foundation: Own the core agent architecture, orchestration layer, and runtime that powers all AI experiences across Airtable—ensuring it's extensible, reliable, and can scale to support diverse use cases across multiple teams
- Design for platform scale: Create robust abstractions and APIs that enable other teams to build AI-powered features quickly and safely, while maintaining quality and consistency across the product
- Establish AI reliability systems: Build comprehensive evaluation frameworks, monitoring, and quality assurance systems that ensure AI features meet enterprise-grade standards for accuracy, performance, and safety
- Drive technical strategy: Partner with Staff+ engineers to define the technical roadmap for Airtable's AI infrastructure, making architectural decisions that will shape how we build with AI for years to come
- Enable AI democratization: Build platform capabilities that make sophisticated AI accessible to all Airtable users—from semantic search and natural language interfaces to intelligent automation—without requiring technical expertise
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the work location and office requirement for this role?
Airtable employs a hybrid working model, but candidates must be based in San Francisco or New York City and open to coming into the office at least 2-3 times per week for team collaboration.
What salary or compensation does this position offer?
This information is not specified in the job description.
What skills and experience are required for the Engineering Manager role?
Candidates should be platform builders who think in systems and abstractions, have built infrastructure that other teams depend on, balancing flexibility with reliability, and possess technical depth with strategic thinking.
What will the team be responsible for in this role?
The team builds the foundational infrastructure for Airtable's AI Platform, including core agent architecture, AI evaluation systems, orchestration layer, semantic search, and platform capabilities to make AI reliable, scalable, and accessible.
What makes a strong candidate for this Engineering Manager position?
Strong candidates are platform builders with experience creating extensible infrastructure, technical depth to drive strategy with Staff+ engineers, and a focus on AI reliability, scale, and democratization for users.
Airtable
SaaS platform for workflow and data management
About Airtable
Airtable offers a platform that merges spreadsheet and database functionalities, allowing users to manage workflows and data without advanced technical skills. The platform is adaptable for various uses, such as project management and customer relationship management, and enables users to visualize data in multiple formats. Operating on a subscription-based model, Airtable provides different pricing tiers to cater to a wide range of clients, from individuals to large organizations. The company's goal is to empower users to effectively manage their data and workflows, making software creation accessible to everyone.
San Francisco, CaliforniaHeadquarters
2012Year Founded
$1,315.7MTotal Funding
SERIES_FCompany Stage
Data & Analytics, Consumer Software, Enterprise SoftwareIndustries
501-1,000Employees
Benefits
We have your medical, dental, and vision insurance 100% covered (and your dependents covered at 80%)
High deductible health plan available with health savings account contribution
Complimentary One Medical membership for individuals and dependents
Monthly “Lifestyle Wallet” to use for benefits like personal fitness (e.g., gym memberships, fitness equipment, etc.) to pet care to nutrition coaching, and more.
Complimentary mental health support via Modern Health Family planning support (fertility, adoption, and surrogacy)
Flexible and generous time off and sick time benefits
16 weeks of parental leave
Annual Learning & Development wallet to support your career development
Emergency backup care for dependents
Access to financial planning and legal support
Risks
Competition from Notion and Coda threatens Airtable's market share.
AI advancements by competitors may outpace Airtable's innovations.
Reliance on third-party integrations poses potential strategic risks.
Differentiation
Airtable combines spreadsheet and database functionalities for custom app creation.
The platform offers a no-code solution, appealing to non-technical users.
Airtable's tiered pricing caters to a wide range of users and businesses.
Upsides
Growing demand for no-code platforms boosts Airtable's market potential.
Recent AI platform launch aligns with trends in AI-driven project management.
Airtable's integration with IBM enhances its collaborative tool offerings.
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