Staff Platform Manager - Agent Products and Intelligence Platforms Job at Airbnb

Principal Software Engineer, AI Developer Tools

At Docker, we make app development easier so developers can focus on what matter...

Location

United States , Seattle

Salary:

232000.00 - 319000.00 USD / Year

Docker

Expiration Date

Until further notice

Requirements

10+ years software engineering experience with 3+ years in Staff or Principal Engineer roles
Deep expertise in AI/ML technologies with hands-on production experience building LLM-powered applications, AI agents, or AI-assisted developer tools
Strong understanding of LLM APIs (OpenAI, Anthropic, etc.), prompt engineering, agent orchestration frameworks, and practical applications of AI in software development workflows
Proven track record of architecting and building highly scalable distributed systems and developer-facing platforms
Production experience with modern cloud-native infrastructure including Kubernetes, GitOps deployment patterns, observability systems, and CI/CD pipelines
Proficiency in Go (preferred), Rust, Java, or Python with strong software engineering fundamentals
Experience designing developer tools, platform engineering systems, or internal tools that enable other teams
Exceptional product and platform mindset considering business outcomes, developer experience, and technical trade-offs
Strong communication skills with ability to influence technical and non-technical stakeholders across the organization
Track record of technical mentorship and elevating engineering teams' capabilities

Job Responsibility

Define the long-term technical vision and architecture for AI-powered developer tools and the self-service platform that enables teams to build their own AI agents
Establish architectural patterns, technical standards, and best practices for LLM integration, AI agent development, and production AI systems serving developers
Lead technical strategy for platform capabilities including deployment frameworks (ArgoCD/GitOps), observability integration (Grafana), security controls, and operational tooling for AI developer tools
Design highly available, scalable infrastructure for hosting AI agents and developer tools with predictable performance and intelligent resource management
Drive technical decisions on AI technology choices, LLM provider strategies, prompt engineering approaches, and agent orchestration frameworks
Partner with Senior Manager and product leadership to align technical architecture with business objectives and productization opportunities
Architect and build production-ready AI agents for developer productivity including code review assistants, test generators, deployment diagnostics, and incident response automation
Design and implement the self-service platform infrastructure that reduces time-to-production for new AI tools from weeks to days
Build systems that accelerate adoption of AI-native development tools (Claude Code, Cursor, Warp) across Docker's engineering organization
Establish reliability, security, and performance standards for AI systems including SLOs, monitoring, incident response, and cost management

What we offer

Freedom & flexibility
fit your work around your life
Designated quarterly Whaleness Days plus end of year Whaleness break
Home office setup
we want you comfortable while you work
16 weeks of paid Parental leave
Technology stipend equivalent to $100 net/month
PTO plan that encourages you to take time to do the things you enjoy
Training stipend for conferences, courses and classes
Equity

Fulltime

Staff Product Manager

Staff Product Manager for Enterprise & AI Governance at Workato, the leading Ent...

Location

United States , Palo Alto

Salary:

170000.00 - 230000.00 USD / Year

Workato

Expiration Date

Until further notice

Requirements

7+ years product management experience in enterprise B2B SaaS platforms, with 4+ years in governance, security, or identity management
Deep understanding of enterprise access control models (RBAC, ABAC), identity protocols (SAML, OAuth 2.0, OIDC), and policy management frameworks
Knowledge of enterprise IT governance frameworks (ITIL, COBIT, NIST) and regulatory requirements (SOC 2, GDPR, HIPAA, SOX)
Experience with policy-as-code implementation and enterprise integration patterns
SQL proficiency for governance analytics and compliance reporting
Understanding of AI governance principles including model bias detection, algorithmic transparency, and automated policy enforcement
Knowledge of agentic AI systems and autonomous workflow governance challenges
Familiarity with emerging AI regulations and their impact on enterprise software platforms
Track record of shipping governance features that scaled to thousands of enterprise users
Experience collaborating with security teams, compliance officers, and IT administrators across global organizations

Job Responsibility

Drive the future of enterprise automation governance at Workato
Own the roadmap for centralized governance across Workato's enterprise platform, including agentic AI governance, autonomous workflow controls, and intelligent policy enforcement
Design automated compliance frameworks that scale from hundreds to thousands of integrations while maintaining enterprise-grade security
Define and deliver advanced RBAC systems and least-privilege access controls that work seamlessly across multi-cloud, hybrid environments
Partner with engineering to build policy-as-code capabilities and real-time access governance
Build compliance automation tools supporting SOC 2, GDPR, HIPAA, SOX, and emerging AI regulations like the EU AI Act
Create self-service governance workflows that reduce manual compliance overhead by 70%

Agentic AI Product Manager

We are seeking an experienced Agentic AI Product Manager to lead the development...

Location

United States , Boston

Salary:

Not provided

HBS

Expiration Date

Until further notice

Requirements

Minimum of five years’ experience post-secondary education or relevant work experience
Supervisory experience
Bachelor’s degree required
Minimum of 5 years of experience in product ownership for technology-enabled platforms or services
Minimum of 2 years of experience working with AI/ML systems, intelligent automation, or advanced analytics
Excellent communication skills with the ability to translate between technical and non-technical audiences

Job Responsibility

Own the vision, roadmap, and lifecycle management of agentic AI systems supporting executive education content and operations
Maintain and prioritize the product backlog for agentic AI initiatives
Translate business requirements into technical specifications for development teams
Communicate progress, risks, and opportunities to leadership through regular reporting
Oversee the architecture, deployment, and optimization of agentic AI frameworks
Evaluate, select, and implement agentic frameworks and tools aligned with D³’s strategic objectives
Establish and adhere to existing governance protocols for AI agent behavior, including guardrails, monitoring, and quality assurance
Partner with faculty and program directors to translate educational goals into AI-enabled capabilities
Facilitate alignment between technical teams and program staff on AI integration
Support adoption of agentic AI capabilities across teams

What we offer

Generous paid time off including parental leave
Medical, dental, and vision health insurance coverage starting on day one
Retirement plans with university contributions
Wellbeing and mental health resources
Support for families and caregivers
Professional development opportunities including tuition assistance and reimbursement
Commuter benefits, discounts and campus perks

Staff Application Engineer, Workplace Technology

The role is part of the IT Function within the broader Mozilla Infrastructure te...

Location

United States; Canada

Salary:

Not provided

Mozilla

Expiration Date

Until further notice

Requirements

7–10 years of software engineering or automation experience, including experience building scalable systems, integrations and agentic workflows in enterprise environments
Strong software design and development skills in Java, Go, Python, JavaScript/TypeScript (or Apps Script), or equivalent languages
experience with building production-ready services and agentic systems
Deep experience integrating SaaS platforms (collaboration tools, identity systems) using APIs, SDKs, event-driven architectures, and building automation/agent orchestration layers
Familiarity with IAM/SSO (Okta, SAML/OIDC/SCIM), lifecycle automation and securing access across humans and agents
experience embedding governance into automation flows
Proven ability to design for reliability, security, scalability and cost-efficiency
strong experience with observability, metrics and monitoring frameworks for automated/agentic services
Demonstrated ability to lead the technical direction of automation and agentic workflows: build shared libraries, connectors, guide architecture, mentor others, influence cross-team engineering culture
Experience or willingness to work with GenAI/LLM modalities (agent design, prompt management, retrieval + RAG, integrations) and build operational patterns around them (e.g., agent orchestration, trust, guardrails)

Job Responsibility

Architect, develop, and scale automation frameworks, integrations and agentic workflows across Mozilla’s workplace technology ecosystem — including collaboration tools, identity systems (SSO/IAM), and GenAI platforms (OpenAI, Claude, Gemini)
Lead end-to-end engineering of lifecycle workflows (onboarding, off-boarding, access provisioning) using APIs, event-driven architectures and intelligent agentic flows that reduce manual touchpoints and accelerate user access
Build and maintain reusable libraries, connectors, SDKs and agent orchestration layers (e.g., virtual assistants, workflow agents, RAG + retrieval pipelines) that enable faster, safer AI-enabled productivity at scale
Implement observability for agentic workflows and automations: define metrics (SLIs/SLOs), build dashboards, logging, alerts and proactively tune for reliability, security, cost-efficiency and adoption
Partner with Security, Legal, and Privacy to embed DLP, data classification, and least-privilege access into automation and AI flows — ensure agentic capabilities respect governance, auditing, and compliance
Lead evaluation, technical design, and production deployment of new tools and AI productivity platforms: architect integrations, define guardrails, pilot agentic features, measure adoption and user impact
Mentor junior engineers and facilitate collaboration across teams: review design/code, establish best practices for building agentic systems, guide documentation and champion a shared automation culture
Collaborate cross-functionally with IT, Security, Finance, People Ops and Workplace/Facilities to deliver secure, efficient, and scalable internal tools and workflows that empower users and optimize operations
Drive innovation through prototyping next-gen agentic services (for example: intelligent enterprise search assistants, document-to-action bots, contextual collaboration agents) to increase productivity and reduce friction

What we offer

Generous performance-based bonus plans to all eligible employees
Rich medical, dental, and vision coverage
Generous retirement contributions with 100% immediate vesting (regardless of whether you contribute)
Quarterly all-company wellness days where everyone takes a pause together
Country specific holidays plus a day off for your birthday
One-time home office stipend
Annual professional development budget
Quarterly well-being stipend
Considerable paid parental leave
Employee referral bonus program

Fulltime

Staff Application Engineer, Workplace Technology

The role is part of the IT Function within the broader Mozilla Infrastructure te...

Location

United States; Canada

Salary:

Not provided

Mozilla

Expiration Date

Until further notice

Requirements

7–10 years of software engineering or automation experience, including experience building scalable systems, integrations and agentic workflows in enterprise environments
Strong software design and development skills in Java, Go, Python, JavaScript/TypeScript (or Apps Script), or equivalent languages
experience with building production-ready services and agentic systems
Deep experience integrating SaaS platforms (collaboration tools, identity systems) using APIs, SDKs, event-driven architectures, and building automation/agent orchestration layers
Familiarity with IAM/SSO (Okta, SAML/OIDC/SCIM), lifecycle automation and securing access across humans and agents
experience embedding governance into automation flows
Proven ability to design for reliability, security, scalability and cost-efficiency
strong experience with observability, metrics and monitoring frameworks for automated/agentic services
Demonstrated ability to lead the technical direction of automation and agentic workflows: build shared libraries, connectors, guide architecture, mentor others, influence cross-team engineering culture
Experience or willingness to work with GenAI/LLM modalities (agent design, prompt management, retrieval + RAG, integrations) and build operational patterns around them (e.g., agent orchestration, trust, guardrails)

Job Responsibility

Architect, develop, and scale automation frameworks, integrations and agentic workflows across Mozilla’s workplace technology ecosystem — including collaboration tools, identity systems (SSO/IAM), and GenAI platforms (OpenAI, Claude, Gemini)
Lead end-to-end engineering of lifecycle workflows (onboarding, off-boarding, access provisioning) using APIs, event-driven architectures and intelligent agentic flows that reduce manual touchpoints and accelerate user access
Build and maintain reusable libraries, connectors, SDKs and agent orchestration layers (e.g., virtual assistants, workflow agents, RAG + retrieval pipelines) that enable faster, safer AI-enabled productivity at scale
Implement observability for agentic workflows and automations: define metrics (SLIs/SLOs), build dashboards, logging, alerts and proactively tune for reliability, security, cost-efficiency and adoption
Partner with Security, Legal, and Privacy to embed DLP, data classification, and least-privilege access into automation and AI flows — ensure agentic capabilities respect governance, auditing, and compliance
Lead evaluation, technical design, and production deployment of new tools and AI productivity platforms: architect integrations, define guardrails, pilot agentic features, measure adoption and user impact
Mentor junior engineers and facilitate collaboration across teams: review design/code, establish best practices for building agentic systems, guide documentation and champion a shared automation culture
Collaborate cross-functionally with IT, Security, Finance, People Ops and Workplace/Facilities to deliver secure, efficient, and scalable internal tools and workflows that empower users and optimize operations
Drive innovation through prototyping next-gen agentic services (for example: intelligent enterprise search assistants, document-to-action bots, contextual collaboration agents) to increase productivity and reduce friction

What we offer

Generous performance-based bonus plans to all eligible employees
Rich medical, dental, and vision coverage
Generous retirement contributions with 100% immediate vesting
Quarterly all-company wellness days where everyone takes a pause together
Country specific holidays plus a day off for your birthday
One-time home office stipend
Annual professional development budget
Quarterly well-being stipend
Considerable paid parental leave
Employee referral bonus program

Fulltime

Senior Staff Engineer, Applied AI

GEICO is seeking a Senior Staff Engineer, Applied AI to provide technical archit...

Location

United States , Chevy Chase, MD; Palo Alto, CA

Salary:

130000.00 - 260000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

8 or more years of professional software engineering or applied machine learning experience
2 or more years working with Generative AI or LLM-based systems in production
Proven track record of architecting and delivering complex AI/ML capabilities that span multiple teams and have measurable business impact
Deep hands-on expertise with Python and modern AI frameworks including LangChain, LangGraph, LangSmith, LlamaIndex, Hugging Face, OpenAI/Anthropic APIs, and emerging agentic frameworks
Demonstrated experience building and deploying production RAG (Retrieval-Augmented Generation) systems including document ingestion, chunking strategies, vector search, and context retrieval
Demonstrated experience designing and operating production AI systems including multi-agent architectures, intelligent automation, and workflow orchestration
Strong understanding of agent architectures, workflow orchestration, retrieval-augmented generation (RAG), vector databases, knowledge graphs, and semantic reasoning
Familiarity with Agent-to-Agent (A2A) communication protocols and Model Context Protocol (MCP) for building interoperable AI systems
Experience ensuring platform scalability, cross-domain coherence, and alignment with AI platform capabilities and strategy
Strong expertise in distributed systems, microservices architecture, service design, performance optimization, and reliability engineering

Job Responsibility

Specify architectures and system decompositions for AI/ML capabilities that involve significant integrations and cross-team collaboration across multiple product areas
Provide technical architecture and leadership for medium to large, complex, cross-functional AI initiatives with visibility at the tech VP level
Architect and lead implementation of advanced Generative AI solutions including agent-based systems, intelligent automation, document intelligence, and decision support systems that span multiple business domains
Design and implement sophisticated agentic workflows that orchestrate multiple AI agents, tools, APIs, reasoning steps, and business logic to automate complex enterprise processes at scale
Question status quo with an eye for simpler designs and more secure approaches, influencing tech VPs to set direction for multiple teams
Build systems and platforms that meet the highest standards for scalability, resilience, performance, availability, security, and compliance
Identify and scope opportunities for automating business processes using AI across multiple product areas and business domains
Advance the state-of-the-art in applied AI by integrating knowledge graphs, vector reasoning, retrieval architectures, and multi-agent systems to solve complex business problems
Drive innovation by exploring new models, frameworks, reasoning techniques, and AI architectures and applying them strategically to high-impact business challenges
Run rigorous experimentation programs including hypothesis definition, A/B testing, measurement frameworks, and iterative improvement across production AI systems

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Senior Principal Software Engineer, Infrastructure

At Docker, we make app development easier so developers can focus on what matter...

Location

United States , Seattle

Salary:

251000.00 - 352000.00 USD / Year

Docker

Expiration Date

Until further notice

Requirements

12+ years of software engineering experience with demonstrated expertise across multiple platform domains (identity, billing, data, infrastructure)
Proven track record architecting and delivering large-scale distributed systems serving millions of users and thousands of enterprise customers
Deep expertise in at least two of: identity/access management systems, billing/monetization platforms, data platforms, or cloud infrastructure
Broad working knowledge across all platform domains with ability to make sound architectural decisions spanning multiple areas
Expert-level understanding of API design, service architecture, and system integration patterns at scale
Experience with cloud platforms (AWS, GCP, or Azure) and modern infrastructure patterns (Kubernetes, service mesh, infrastructure-as-code)
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
Track record of establishing strategic technical plans that directly enabled business outcomes (revenue growth, cost reduction, market expansion)
Experience translating business strategy into technical architecture and roadmaps
Demonstrated ability to identify and prioritize investments that provide maximum platform leverage

Job Responsibility

Define and own the multi-year technical vision for Docker's foundational platform, encompassing accounts, billing, data, enterprise governance, and infrastructure
Establish strategic plans and objectives for major platform initiatives, making architectural decisions that ensure effective achievement of Docker's business objectives
Contribute to and drive the strategic vision in collaboration with the VP of Engineering, translating organizational strategy into technical roadmaps that span multiple teams and years
Identify and prioritize platform investments that provide maximum leverage—capabilities built once that enable rapid iteration across all Docker products
Develop architectural principles and standards that guide technical decisions across the Bridge organization and influence product engineering teams
Anticipate future business needs and ensure platform architecture provides the flexibility to support Docker's evolving commercial models
Lead large cross-company programs that require coordination across Desktop, Hub, AI, Security, Cloud, and Platform teams
Architect the unified platform interfaces ("Control Planes") that enable product teams to answer canonical questions like "Can this user access this feature?" or "How much has this organization consumed?" without understanding underlying complexity
Drive convergence of fragmented systems across Docker—replacing product-specific implementations with shared platform capabilities for authentication, authorization, billing, and observability
Establish technical contracts between platform and product teams that enable independent velocity while ensuring consistency and reliability

What we offer

Freedom & flexibility
fit your work around your life
Designated quarterly Whaleness Days plus end of year Whaleness break
Home office setup
we want you comfortable while you work
16 weeks of paid Parental leave
Technology stipend equivalent to $100 net/month
PTO plan that encourages you to take time to do the things you enjoy
Training stipend for conferences, courses and classes
Equity

Fulltime

Staff Software Engineer, Vehicle AI

GM is looking to hire highly skilled and experienced Staff Software Engineers to...

Location

United States , Mountain View, California

Salary:

189300.00 - 290000.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, related technical field, or equivalent practical experience
8+ years of professional software development experience, with a focus on large-scale distributed systems or AI/ML infrastructure
Expert proficiency in one or more programming languages such as Python, C++, Java, or Kotlin
Extensive experience designing, building, and deploying production-grade AI/ML models or intelligent agents
Demonstrated technical leadership in complex projects, including mentoring and driving cross-functional initiatives

Job Responsibility

Lead the architecture and implementation of next-generation AI agents, from conceptualization to production deployment
Drive technical direction and strategy for the AI agent platform, ensuring scalability, reliability, and performance
Mentor and guide junior and senior engineers, fostering a culture of technical excellence and best practices
Collaborate with Product Managers and other engineering teams to define requirements and deliver impactful solutions
Conduct complex code reviews, system design reviews, and provide constructive feedback
Identify and address technical debt, performance bottlenecks, and architectural challenges within the agent infrastructure
Stay current with the latest advancements in AI, machine learning, and software engineering to continually improve our technology stack

What we offer

Incentive pay program offers payouts based on company performance, job level, and individual performance
Company vehicle evaluation program
This Job may be eligible for relocation benefits

Fulltime

Staff Platform Manager - Agent Products and Intelligence Platforms

Airbnb

Location:
United States

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 13, 2026

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