Join the BizTech team at Airbnb and contribute to fostering culture and connection at the company by providing reliable corporate tools, innovative products, and technical support for all teams.

As a Senior Staff Engineer in Operations, you will lead and mentor a high-performing team to scale our AI-enabled operations model and deliver AIOps solutions that streamline operational workstreams and help BizTech teams focus on their core work with confidence.

Your scope includes leading projects across multiple products and platforms, delivering world-class outcomes that create customer and community value while balancing near- and long-term needs.

Key Responsibilities:

• Lead technical strategy and discussions, partnering with Operations peers and cross-functional BizTech teams to build AIOps and automation solutions.

• Stay on top of tasks, engagements, and team interactions,active collaboration is key to success.

• Work in sprints, delivering project work across coding, testing, design, documentation, and operational readiness reviews.

• Dedicate part of each day to core Operations work, triaging tickets, spotting patterns, and driving scalable fixes that improve efficiency.

• Participate in an on-call rotation, leading high-severity incident response as both incident commander and operations engineer.

Requirements:

• 15+ years of experience across AIOps, data catalog architecture, product development, and/or Technical Operations infrastructure.

• Strong SDLC experience, including infrastructure as code, configuration management, distributed version control, and CI/CD.

• Deep expertise in complex enterprise infrastructure, especially cloud (AWS and/or Google), with a focus on AI/automation, data catalog architecture, workflows, and correlation.

• Solid understanding of corporate infrastructure and applications to translate into AIOps requirements and integrations.

• Proven ability to lead cross-team, cross-org delivery of large-scale, technically complex, ambiguous initiatives that anticipate business needs.

• Proficient in Python or Go.

• Experience building API integrations and event-driven architectures (e.g., AWS Lambda/SQS).

Preferred Qualifications:

• Experience with cloud-based infrastructure and services.

• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).

• Knowledge of DevOps practices and tools (e.g., Jenkins, GitLab).

• Experience with agile development methodologies and frameworks (e.g., Scrum, Kanban).

• Strong communication and interpersonal skills.

• Ability to work in a fast-paced environment and adapt to changing priorities.

Salary: $212,000-$265,000 USD per year.

Benefits: Bonus, equity, benefits, and Employee Travel Credits.

Workplace Type: Remote eligible.

Experience Level: Senior.

Employment Type: Full-time.

Category: Engineering.

Industry: Technology.

Required Skills: AIOps, data catalog architecture, product development, Technical Operations infrastructure, SDLC, infrastructure as code, configuration management, distributed version control, CI/CD, cloud (AWS and/or Google), AI/automation, data catalog architecture, workflows, and correlation.

Preferred Skills: Cloud-based infrastructure and services, containerization and orchestration tools (e.g., Docker, Kubernetes), DevOps practices and tools (e.g., Jenkins, GitLab), agile development methodologies and frameworks (e.g., Scrum, Kanban), strong communication and interpersonal skills, ability to work in a fast-paced environment and adapt to changing priorities.

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This role focuses on rapidly developing new features, and working across partner teams to deliver solutions, and maximize impact for Google and top customers.

You will be instrumental in translating cutting-edge AI research into real-world products, and demonstrating the capabilities of latest-generation models.

We are looking for engineers with a strong track record of building and shipping AI-powered software, ideally with experience in early-stage environments where they have contributed to scaling products from initial concept to production.

The ideal candidate will be motivated by the opportunity to drive product & business impact.

Key responsibilities:

• Harness frontier models to drive real-world high-impact outcomes

• Build evaluations, training data, and infrastructure to support AI deployments and rapid iterations

• Collaborate with researchers and product managers to translate research advancements into tangible product features.

• Contribute to the development of best practices for building and deploying generative AI applications.

• Contribute signal to influence the development of frontier models

• Lead the architecture and development of new products & features from 0 to 1.

About you:

In order to set you up for success as a Staff Research Engineer, Applied AI at Google DeepMind, we look for the following skills and experience:

Required Skills:

• Bachelor's degree or equivalent practical experience.

• 8 years of experience in software development, and with data structures/algorithms.

• 5 years of hands-on experience in AI research (e.g. RL, finetuning, evals), AI applications, or model deployment

• Proven experience in rapidly developing and shipping software products.

• Deep understanding of software development best practices, including testing & deployment.

• Experience with cloud computing platforms and infrastructure (e.g., Google Cloud Platform, AWS, Azure).

• Substantial experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc.

• Ability to work in a fast-paced environment and adapt to changing priorities.

Preferred Skills:

• Experience with generative AI research or applications.

• Contributions to open-source projects.

• Experience working in, or founding early stage startups.

• Experience delivering software solutions in a fast-paced, customer-facing environment.

If you are a passionate machine learning engineer with a drive to build innovative products and a desire to work at the forefront of AI, we encourage you to apply!

The US base salary range for this full-time position is between $197,000 - $291,000 + bonus + equity + benefits.

XML job scraping automation by YubHub

This role focuses on rapidly developing new features, and working across partner teams to deliver solutions, and maximize impact for Google and top customers.

You will be instrumental in translating cutting-edge AI research into real-world products, and demonstrating the capabilities of latest-generation models.

We are looking for engineers with a strong track record of building and shipping AI-powered software, ideally with experience in early-stage environments where they have contributed to scaling products from initial concept to production.

The ideal candidate will be motivated by the opportunity to drive product & business impact.

Key responsibilities:

• Harness frontier models to drive real-world high-impact outcomes

• Build evaluations, training data, and infrastructure to support AI deployments and rapid iterations

• Collaborate with researchers and product managers to translate research advancements into tangible product features.

• Contribute to the development of best practices for building and deploying generative AI applications.

• Contribute signal to influence the development of frontier models

• Lead the architecture and development of new products & features from 0 to 1.

About you:

In order to set you up for success as a Staff Research Engineer, Applied AI at Google DeepMind, we look for the following skills and experience:

Required Skills:

• Bachelor's degree or equivalent practical experience.

• 8 years of experience in software development, and with data structures/algorithms.

• 5 years of hands-on experience in AI research (e.g. RL, finetuning, evals), AI applications, or model deployment

• Proven experience in rapidly developing and shipping software products.

• Deep understanding of software development best practices, including testing & deployment.

• Experience with cloud computing platforms and infrastructure (e.g., Google Cloud Platform, AWS, Azure).

• Substantial experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc.

• Ability to work in a fast-paced environment and adapt to changing priorities.

Preferred Skills:

• Experience with generative AI research or applications.

• Contributions to open-source projects.

• Experience working in, or founding early stage startups.

• Experience delivering software solutions in a fast-paced, customer-facing environment.

If you are a passionate machine learning engineer with a drive to build innovative products and a desire to work at the forefront of AI, we encourage you to apply!

The US base salary range for this full-time position is between $197,000 - $291,000 + bonus + equity + benefits.

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The Field Sales Manager role is responsible for leading defined areas of teams to deliver market-leading retail sales and growth. They will be instrumental in driving profitability and sustainability through retail sales and ensuring that we provide consistent magical customer experiences across the area retail estate.

Key Responsibilities:

• Build a High Performance Team of Store Leaders - Lead the country and manage the team of Flagship Business Manager for department stores & 3 Multi-site business manager for Sephora, ensuring objectives are set in place and review monthly
• Create engagement improvement plans along with the Flagship Business Manager and training counterpart
• Drive engagement throughout the region and identifying key gaps and opportunities using Employee Surveys and tactical approach designated for France employees
• Work alongside the Training Manager to ensure commercial and development training needs are met within the region

Commercial Leadership of the area

• Drive Field France Team to deliver retail sales in line with forecast commitments, achieving total retail sales across the country while improving KPI (ATV, services, skincare, eventing, TTH, attrition rate, vacancy rate, turnover rate, engagement etc)
• Feed into the store level forecasts set by the commercial team, and align on associated targets with the Regional Sales Manager
• Work closely with senior commercial counterparts on building regional strategy and ensuring focus on every retail partner

Development and Execution of Retail Strategy

• Work in close collaboration with the Training Manager and NAM to develop a launch and sustain plans for all stores and NPD & coaching on sales
• Lead initiatives to differentiate department store concessions, and the Specialty model
• Develop and implement marketing and service strategies tailored to each environment based on customer and store insights

Effective Cost Optimisation

• Manage all retail staffing costs, including recommending FTE levels across all stores working closely with store retail partners
• Manage the in-store payroll budget for the area, submitting and course correcting dependent on trading patterns at each forecast cycle by feeding into the Senior Sales Manager

Reporting Relationships

• Reporting to the Regional Sales Manager of Southern Europe
• Direct reports of 3 Multi Site Business Manager in Sephora and 1 Flagship Business Manager Department store

About You

• Must be able to travel within region France regularly
• Extensive experience in senior field management or multi-site role, with proven experience of building talent and delivering retail growth in luxury beauty industry
• Strong people focus with a passion for developing teams
• Target-focused and results-driven
• Excellent numerical and analytical skills
• Effective communicator, both written and verbal
• Excellent presentation skills and classroom delivery
• Competent PC skills in all Microsoft Office, particularly Excel and PowerPoint
• Personable and approachable; able to build rapport quickly
• Ability to influence others
• Self-starter; able to motivate oneself and others
• Comfortable working in ambiguity
• Solution-oriented
• Structured and organised
• Ability to manage multiple priorities and adapt to changing priorities
• Team spirited

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Responsibilities

• Communicate with players and solve their problems, such as lost accounts or questions regarding game details
• Provide excellent customer service through written support
• Respond to emails, tickets, and chats in a timely and professional manner
• Work in a fast-paced environment and adapt to changing priorities
• Collaborate with other team members to resolve complex issues

Requirements

• Strong written and verbal communication skills in English and Spanish
• Ability to multi-task and work in a constant evolution environment
• Excellent customer service skills
• Ability to actively listen to instructions and execute tasks communicated
• Full-time availability
• High School Diploma preferred but not required
• Living in Mexico City or Estado de Mexico

Benefits

• Salary: $10,500 gross (before taxes)
• Law Benefits
• 2 days off
• Career path
• After 3 months:

+ Medical expenses insurance + Saving funds + Grocery tickets ($1,200)

Work Arrangement

• Remote work arrangement
• Night shift (8PM - 5AM) and evening shift (12PM - 9PM) available

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What you'll do

Minimizing supplier quality issues using root cause analysis, implementing temporary solutions and permanent countermeasures to ensure minimal line impact and optimal product quality.

• Create all reporting documentation to communicate to supplier base (HTR’s, Inspection Data Sheets, Supplier Visits Reports, Etc.) that are created through utilization of lab equipment and parts measurement to drawing.

What you need

• Minimum Educational Qualifications BS ENG degree + 0 years, AS ENG degree + 4 years, HS degree + 6 years

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