Platform Lead - Agent Products, Community Support Job at Airbnb

Platform Lead - Digital Products, Community Support

Lead a team of product managers to build and deliver on our vision of 10-star se...

Location

United States

Salary:

224000.00 - 280000.00 USD / Year

Airbnb

Expiration Date

Until further notice

Requirements

10+ years of platform or product leadership in technology-driven environments
5+ years managing teams
Deep experience developing and launching extensible platform capabilities at scale
Expertise in building delightful consumer experiences used by millions of customers globally
Demonstrated success in building AI/ML-led consumer products in complex, global operations
Inspirational people leader, passionate about developing talent and fostering inclusive, high-performance teams
Proven ability to translate business needs into innovative, user-centric technology solutions
Exceptional communicator and influencer, skilled at working across functions and with executive stakeholders
Analytical, data-driven problem solver who thrives in fast-paced, matrixed organizations
Community-first, user-centric mindset with a relentless drive for excellence

Job Responsibility

Define and execute the vision for Airbnb’s self-serve path to help millions of guests and hosts on a daily basis
Envision, build, and scale agentic AI capabilities and platforms to reduce friction for our guests and hosts
Define, shape, and deliver proactive support capabilities
Manage and develop a high-performing, globally distributed team of platform managers
Guide key product initiatives from concept to launch
Forge strong partnerships with engineering, design, data science, product marketing, and operations

What we offer

bonus
equity
benefits
Employee Travel Credits

Fulltime

New

Head of AI Transformation & Adoption

We are seeking a visionary and execution-focused Head of AI Transformation & Ado...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or related field
18+ years of IT services and software engineering experience
8+ years leading large global delivery organizations
Demonstrated success in enterprise transformation initiatives
Strong experience in application development, maintenance, modernization, and managed services
Hands-on understanding of Generative AI, LLMs, AI agents, Machine Learning, and automation platforms
Experience delivering large-scale client transformation programs

Job Responsibility

Develop and execute a multi-year AI transformation roadmap for the ADM organization
Define AI adoption frameworks, standards, governance models, and operating procedures
Establish AI as a core pillar of software engineering, application support, modernization, testing, and managed services
Identify opportunities to leverage Generative AI, Agentic AI, Predictive AI, Machine Learning, AIOps, and Intelligent Automation across the ADM lifecycle
Build executive alignment and sponsorship for AI-led transformation initiatives
Lead implementation of AI-powered solutions across Application Development, Application Maintenance, Testing & Quality Engineering, DevOps & Platform Engineering, SRE & Operations, Cloud Engineering, Legacy Modernization, Data & Analytics
Drive adoption of AI coding assistants, automated testing platforms, AI-enabled documentation, knowledge management, and operations automation tools
Establish reusable AI assets, accelerators, frameworks, and industry-specific solutions
Partner with account teams to identify AI-led cost reduction and productivity improvement opportunities
Create AI-based transformation offerings that deliver reduced effort, faster delivery cycles, improved quality, lower incident volumes, reduced technical debt, enhanced customer experience

Senior Cloud Solution Architect

With over 17,000 employees worldwide, the mission of the Customer Experience & S...

Location

United States , Multiple Locations

Salary:

106400.00 - 203600.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's degree in computer science, Information Technology, Engineering, Business or related field AND 4+ years' experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or Business Applications consulting OR equivalent experience
Breadth of technical experience and knowledge in foundational security, foundational AI, architecture design, with depth / Subject Matter Expertise in one or more of the following: Deep Domain Expertise in Azure AI Areas: Deep domain expertise in one or more of the Azure AI specific areas, such as Cognitive Services, Azure OpenAI, AI Agents, Microsoft Foundry and Copilot Studio OR hands-on experience working with the respective products at the expert level. Expertise with Azure AI Search and/or Vector Indexes, Azure Document Intelligence, Azure Content Understanding and /or equivalent OCR technology
Programming Languages and Integration: Proficient with Python, C#, R, JavaScript, or similar programming languages in the context of application development, and ability to integrate Azure AI with other services (e.g., Azure Functions, Azure Container Apps, Docker, API Management, MCP servers)
Architecting Enterprise-Grade Solutions: The ability to create and explain 3-tier architecture diagrams, system context diagrams, system interaction diagrams, etc.
Proven experience building enterprise-grade, AI-focused solutions on the cloud (Azure, AWS, GCP) for customers, from Minimum Viable Products (MVPs) leading to production deployments
Infrastructure as Code (IaC) Deployment: Strong understanding of Bicep, Terraform, or Azure Resource Manager and familiarity with configuration and deployment of IaC templates in a secure environment
Core AI & ML Concepts: Familiarity with AI & ML foundational knowledge of concepts like Prompt Engineering, RAG, Agentic Orchestration, tools (Jupyter notebooks & VS Code)
GenAIOps & DevOps: Familiarity with CI/CD pipelines (GitHub Actions, Azure DevOps), Prompt and Model Evaluation, AI Harnesses (e.g., evaluation, orchestration), and observability for general Azure workloads using Application Insights, Azure Monitor, OpenTelemetry and/or other Observability tools
Agentic Workflows: Familiarity with Agent Framework, MCP, Langchain, or other agentic frameworks. Ability to configure tools for dynamic execution by an LLM
Generative AI and Responsible AI: Knowledge of current and emerging AI technology, including Generative AI technology applications and use cases (including, but not limited to, Large Language Models) and Foundational models toolsets

Job Responsibility

Play a pivotal role in the AI Factory, providing technical enablement, operational support, and strategic engagement across customer projects. This role is designed to ensure successful delivery of AI solutions, troubleshoot complex issues, and support innovation through pilot evaluations and advanced use case development. Understand customers' overall data estate, business priorities, and IT success measures. Innovate with AI solutions that drive business value
Facilitate scalable delivery through strong technical program management utilizing a factory model/approach, driving program awareness and demand across the regional operating units. Attend in-flight project status meetings to monitor progress and identify support needs. Engage directly with complex or non-standard customer use cases beyond existing accelerators. Participate in intake reviews for milestone sizing, objection handling, and technical scoping
Ensure Solution Excellence: Deliver solutions with high performance, security, scalability, maintainability, repeatability, reusability, and reliability upon deployment. Gather insights from customers and partners
Drive Consumption Growth: Develop opportunities to enhance Customer Success and help customers extract value from their Microsoft investments
Operational Awareness: Understanding of consumption metrics and their reflection on program effectiveness. Ability to collaborate with local teams for nominations and intake support
Unblock Customer Challenges: Leverage subject matter expertise to identify resolutions for customer blockers. Follow best practices and utilize repeatable IP
Identify and contribute repeatable IP and assets that create velocity in deployment and drives customer value from their Unified investment. Continuously look to improve upon these assets utilizing the best of field inputs. Evaluate pilot opportunities for potential integration into existing offerings
Architect AI Solutions: Apply technical knowledge to design solutions aligned with business and IT needs. Create Innovate with AI roadmaps, lead POCs and MVPs, and ensure long-term technical viability
Advocate for Customers: Share insights and best practices, collaborate with the Factory team to address key blockers, and influence improvements, roadmap and feature prioritization
Resolve technical blockers: Debug technical issues and provide fixes for engagements encountering blockers

Fulltime

Senior Director Global Entertainment & Influencer Marketing

Lead PUMA’s global entertainment, influencer, creator and cultural talent strate...

Location

United States of America , Los Angeles

Salary:

156000.00 - 216060.00 USD / Year

Puma Group

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Marketing
15+ years’ experience in entertainment marketing, influencer marketing, creator strategy, cultural marketing, talent partnerships, PR or brand partnerships
Experience within global consumer brands, ideally across sportswear, fashion, luxury, entertainment, music, media, platforms or youth culture
Strong network across Los Angeles entertainment, music, fashion, sport, creator and cultural ecosystems
Strong judgement on brand fit, cultural credibility, reputation risk and talent behaviour
Demonstrated ability to build talent partnerships that drive brand relevance, not only paid reach
Commercial understanding of how influence connects to traffic, conversion, product demand and sell-through
Proven experience leading teams of 10+ people
Strong understanding of creator platforms, social commerce, influencer measurement and digital content behaviour
Experience working across global HQ, regional and local market structures

Job Responsibility

Lead PUMA’s global entertainment, influencer, creator and cultural talent strategy, building a world-class ecosystem of celebrities, artists, musicians, athletes, creators, stylists and cultural tastemakers who increase brand relevance, desirability and commercial impact
Based in Los Angeles, the role serves as PUMA’s global hub for entertainment, creator culture, music, sport culture, fashion and youth influence, ensuring the brand is connected to the people, platforms and moments shaping global culture
The role is accountable for moving PUMA from ‘single campaign-based’ influencer activity to a structured, global entertainment and creator marketing model that supports brand heat, product demand, social engagement and commercial conversion
Define and lead the global entertainment, influencer and creator marketing strategy across all major brand, category and commercial priorities
Build a global talent architecture across celebrities, musicians, actors, athletes, creators, streamers, stylists, cultural connectors and commerce creators
Identify which talent drives brand elevation, category credibility, social velocity, community relevance and commercial conversion
Ensure entertainment and influencer activity is integrated into global brand planning, campaign development and product launch strategy
Develop long-term cultural partnership opportunities that strengthen PUMA’s position in sport, fashion, music, entertainment and youth culture
Build and manage PUMA’s global network across entertainment, music, sport, film, fashion, gaming, creator platforms and cultural communities
Act as senior relationship lead with agents, managers, publicists, stylists, labels, studios, creator agencies and key cultural intermediaries

What we offer

Bonus
Benefits (Benefit Summary Corporate)

Fulltime

Staff Product Manager, AI Personalization

Airbnb was born in 2007 when two hosts welcomed three guests to their San Franci...

Location

United States

Salary:

200000.00 - 240000.00 USD / Year

Airbnb

Expiration Date

Until further notice

Requirements

9+ years of industry experience with a BS/Masters OR 6+ years with a PhD, with deep expertise in AI/ML-powered platforms at consumer scale
Strong working knowledge of personalization systems, contextual data retrieval, and LLM architectures - you can engage credibly with ML engineers on topics like RAG, retrieval optimization, and context engineering tradeoffs
Track record of building and shipping foundational platform products that power multiple downstream experiences and surfaces
Experience designing and interpreting A/B experiments and online experiment frameworks
ability to own end-to-end metrics strategy for complex AI systems
Strong capacity to synthesize ambiguous signals into clear, prioritized product decisions
Proven cross-functional leadership: able to align ML, engineering, data science, design, and operations teams around a shared vision
Experience shipping consumer-facing AI products with personalization at the core
Sharp product intuition for when AI automation should give way to human judgment, and how to design systems that make that transition seamless
Ability to work at multiple levels of abstraction - from the architecture of a retrieval system to the experience of a guest trying to resolve a cancellation dispute

Job Responsibility

Contribute towards the long-term vision for building 10-star, personalized community support, building a platform where our AI understands each guest and host the way their best human advocate would, and responds accordingly
Partner with data science, ML, and operations to identify new high-signal personalization signals to serve user needs
Own the product roadmap across ML models, signals, schemas, and prompt optimization to ensure the right information reaches the model in the most effective form
Drive personalization experiment design and measurement: define KPIs (self-solve rate, personalization coverage, citation accuracy), lead experiment design, and translate results into clear product decisions
Collaborate with ML engineers to shape requirements for accuracy, latency, and scalability improvements
Scale personalization infrastructure across Airbnb's AI surfaces, ensuring the platform is extensible enough to serve each modality's unique needs
Build a framework for continuous improvement: define how the team identifies personalization failures, prioritizes fixes, and systematically closes the gap between AI and human agent performance
Collaborate across engineering, ML, design, data science, and policy to build consensus on prioritization, drive cross-functional alignment, and ship with rigor from concept to production

What we offer

bonus
equity
Employee Travel Credits

Fulltime

Senior Consultant, Apps & AI

As a Senior Consultant you will be responsible for delivering high quality solut...

Location

Malaysia , Bukit Jalil

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

10+ years of technology-related experience in software/solution engineering, cloud computing, architecture and delivery leadership roles
Proven experience in leading delivery of complex, multi-disciplinary projects
Strong understanding of modern delivery methodologies (Agile, Scrum, DevOps, etc.)
Excellent communication, stakeholder management, problem-solving, and team leadership skills
In depth expertise in Full Stack Application Engineering (.NET, Java, Node.js, Python, microservices, distributed systems, relational and NoSQL databases)
In depth expertise in AI‑Enabled Application Development (Azure OpenAI, Azure AI Services, custom machine learning, agentic AI systems, RAG architectures)
In depth expertise in Cloud‑Native Architecture (Azure)
In depth expertise in DevOps, Platform & Developer Productivity (CI/CD, Infrastructure-as-Code, observability, DevSecOps, Azure DevOps, GitHub)
In depth expertise in Solutioning, Pre-Sales & Technical Leadership
Ability to pass AI-900, AI-102, DP-100 certifications in first 6 months

Job Responsibility

Provide strong client-facing consulting, demonstrating communication, stakeholder management, problem-solving, and team leadership, while acting as a trusted advisor across pre-sales and delivery
Assess business requirements and identify high-value AI-enabled application opportunities, translating them into scalable architectures, solution designs, and delivery roadmaps
Design and build scalable, secure full-stack applications using modern frameworks and backend technologies (.NET, Java, Node.js, Python) with microservices and distributed systems
Deliver AI-enabled applications using Azure OpenAI, Azure AI Services, and custom ML models, including agentic AI systems and optimized RAG architectures
Architect cloud-native solutions on Azure, ensuring scalability, resilience, security, identity integration, and alignment with enterprise best practices
Lead end-to-end delivery lifecycle (discovery → design → build → deploy → optimize), ensuring solutions are production-ready and aligned to business outcomes
Implement DevOps and platform engineering practices, including CI/CD pipelines, Infrastructure-as-Code, DevSecOps, and developer productivity improvements
Drive deployment and release management, including environment provisioning, automated deployments, and advanced rollout strategies (blue-green, canary, rolling) with post-deployment validation and optimization
Establish operational excellence, including monitoring, observability, reliability (SRE), incident management, and transition to support teams
Lead solutioning, pre-sales, and technical leadership, including architecture design, estimations, proposals, and ensuring measurable business value, scalability, and performance of AI and application solutions

Fulltime

Senior Consultant - Full Stack AI Application Developer

Microsoft Industry Solutions – Global Center for Innovation and Delivery (GCID) ...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

10+ years of overall professional experience in software engineering, application development, and solution delivery, with a strong focus on enterprise‑scale, customer‑facing engagements.
5+ years of experience in customer‑facing delivery leadership
Bachelor's degree in computer science engineering, or a related field.
Strong experience designing, building, and deploying business‑ and mission‑critical applications using .NET (C#), .NET Web APIs, Node.js.
Full‑stack development expertise across UI, API, service, domain, data, and integration layers, with proficiency in C#, JavaScript, TypeScript, Angular or React, HTML5, and CSS/SCSS.
Deep understanding of software architecture patterns and anti‑patterns for large‑scale systems, including MVC, CQRS, and Saga, with a focus on performance, scalability, and resiliency.
Excellent foundation in software engineering principles, data structures, algorithms, testing, debugging, and analytical problem‑solving.
Proficiency with cloud data platforms including Azure SQL, Cosmos DB, Azure Database for PostgreSQL, MySQL, Azure SQL Managed Instance, and MariaDB.
Experience creating reusable application frameworks and shared components that address cross‑cutting concerns such as logging, security, resiliency, and configuration management.
Hands‑on experience with multi‑threaded and parallel programming and high‑throughput service design.

Job Responsibility

Lead the technical delivery of complex, cloud‑native and AI‑enabled engagements, contributing as a hands‑on individual contributor and, where required, leading engineering teams to ensure high‑quality, predictable outcomes.
Define and drive the technology strategy for large and complex customer engagements, ensuring solutions are scalable, secure, and aligned to business objectives, architectural best practices, and Microsoft reference architectures.
Design, develop, and deploy solutions on Microsoft Azure, accelerating customer value through the effective use of Microsoft technologies, platforms, and delivery methodologies.
Applies user‑centered design principles to translate customer needs into clear technical requirements and scalable solution designs through iterative prototyping and feedback.
Provide delivery leadership by setting technical priorities, estimating effort, managing dependencies, making disciplined trade‑offs, and driving successful releases.
Ensure engineering excellence and solution quality, with accountability for the overall efficacy, performance, security, and compliance of technical delivery within assigned engagements.
Identify, assess, and manage technical risks and dependencies across projects, including defining mitigation strategies, handling escalations, and planning for both short‑ and long‑term delivery risks.
Apply information security, compliance, and assurance standards to maintain stakeholder confidence and meet customer, regulatory, and Microsoft governance requirements.
Drive innovation and digital transformation, leveraging existing intellectual property (IP), reusable assets, and best practices to improve delivery predictability and speed.
Collaborate with cross‑functional teams, including Sales, account‑aligned teams, and peers, to articulate technical value propositions and support the expansion and adoption of Microsoft cloud and AI solutions with strategic customers.

Fulltime

Architect - AI Business Solutions

Microsoft Industry Solutions Delivery (ISD) is a global organization hosting ove...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Information Technology, Engineering, or related field AND 14+ years in technology solutions, architecture, consulting, or specialized technical domains (e.g., Security)
Master's degree in related field AND 12+ years in technology solutions, architecture, consulting, or specialized technical domains
Equivalent experience
Experience with a Global Systems Integrator, IT Vendor, or Microsoft Partner delivering enterprise-scale Microsoft Business Applications
Strong hands-on background in Business Applications and CRM solution delivery across medium to large enterprises

Job Responsibility

Understanding Customer Technical Environment
Engage business sponsors, product owners, Enterprise Architects, Security, and Operations leaders to frame outcomes and define the target agentic scenarios
Assess customer AI readiness across identity, data, security/compliance, and operating model
Identify industry and technology trends including AI adoption patterns, Low-Code modernization, Copilot usage, GitHub Copilot assisted development, and data readiness
Translate business requirements into end-to-end solution options across Power Platform, Azure, and Microsoft 365 Copilot/Copilot Studio extensibility
Socialize solution approaches with customers, validating feasibility, operating impact, scalability, and change management
Maintain an iterative feedback loop with Product Engineering and internal communities
Partner with account and delivery teams to shape the solution play, refine estimates, adjust pre-sales solution components, govern scope changes, and position technical risks
Architecture Design and Deployment
Apply structured delivery methodologies (Agile/Iterative/Hybrid) and reference architectures to design scalable Copilot and agentic solutions

Fulltime

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Platform Lead - Agent Products, Community Support

Job Description

Job Responsibility

Requirements

What we offer

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