You will operate at the intersection of Marketing, data, product development, and generative AI. This role involves identifying high-value workflows, translating business problems into clear product requirements, and developing solutions using SQL, Python, and generative AI technologies. You will work directly with data and AI tools to understand user workflows in detail and take ownership of delivering measurable outcomes. The team focuses on a small number of high-impact initiatives, including experiment analysis, business reporting, campaign operations, and SEO/AEO content workflows. You will partner with developers and Marketing teams to turn successful prototypes into reliable products. This includes designing evaluation frameworks, leading user research and pilots, and driving rollout and adoption. You will measure the impact of these products on employee productivity, output quality, and business outcomes. The role requires a strong sense of ownership and the ability to collaborate effectively across Marketing, Analytics, Product, and Technology teams.

You will operate at the intersection of Marketing, data, product development, and generative AI to build scalable solutions. This role involves identifying high-value workflows, translating business problems into clear product requirements, and developing prototypes using SQL and Python. You will partner with developers and Marketing teams to turn successful ideas from prototype through deployment and adoption. The focus is on delivering measurable outcomes through AI-enabled tools rather than traditional reporting or coordination. You will quantify opportunities by establishing current effort, pain points, user base, and potential business value. You will design evaluation frameworks covering output accuracy, reliability, usability, safety, and appropriate human review. You will lead user research, pilots, and iterative testing with analysts and channel specialists. The role requires driving rollout, documentation, training, and adoption in partnership with sponsoring teams while measuring hours saved and downstream business impact. You will maintain a prioritized portfolio of Marketing AI opportunities and communicate progress, learnings, and recommendations to senior stakeholders. You will monitor developments in AI capabilities and identify when existing products should be improved, expanded, or retired. You will contribute reusable tools, standards, and playbooks that help Marketing teams build better AI-enabled workflows independently. This is a hands-on role requiring strong product thinking and the ability to break ambiguous problems into structured workstreams.

This role focuses on driving financial strategy through comprehensive modeling and analysis. You will develop and maintain complex financial models to support P&L forecasting and budgeting, directly informing key strategic initiatives. The position requires deep collaboration with cross-functional teams to monitor cost levers and special projects within SPX Express. You will also lead competitor analysis and benchmarking to extract actionable insights that shape business strategy. Additionally, you will prepare detailed reports for senior management on budgeting, forecasting, and cost reduction initiatives. You will be responsible for performing variance analysis against forecasts and budgets to identify trends and provide strategic recommendations. The role involves building strong relationships with stakeholders to navigate competing priorities and align teams around shared objectives. You will identify opportunities for process improvements within the FP&A function and implement best practices to enhance efficiency. This is a high-impact role requiring the ability to manage multiple priorities in a fast-paced environment while communicating complex financial data clearly to leadership.

We are seeking a proactive Hybrid Support & Development Engineer to manage and enhance our Enterprise Architecture (EA) Application Portfolio. This role focuses on the internal application ecosystem, specifically ServiceNow Appport and App 360, hosted on Google Cloud Platform (GCP). You will combine application support, software development, and proactive problem-solving to ensure platform stability and continuously improve internal solutions. You will act as the functional and technical support lead for ServiceNow Appport and App 360 platforms. Your day-to-day responsibilities include troubleshooting application issues, analyzing root causes, and coordinating with technical specialists to drive resolutions. You will also manage Service Requests (SRs) and collaborate closely with internal teams such as Infrastructure and Security to ensure seamless operations.

This role focuses on analyzing complex datasets to optimize first-mile pickup routes and fleet utilization. You will identify operational bottlenecks and develop strategic initiatives to reduce costs and improve driver productivity. The position involves building operational dashboards to monitor fleet health and translating data into actionable insights for senior leadership. You will also communicate complex findings to stakeholders to ensure alignment across field operations and cross-functional teams.

Lead complex data science projects from initial model development through to testing, validation, and deployment. Utilize advanced predictive modeling and data processing tools to optimize customer experiences and drive revenue generation. Communicate key findings and strategic recommendations to diverse stakeholders to support data-driven decision-making. Contribute to cutting-edge research in machine learning and artificial intelligence while actively mentoring junior team members to foster organizational growth.

We are looking for an Offensive Security Engineer to proactively identify, validate, and prioritize security vulnerabilities across applications, infrastructure, and cloud environments. This role requires a deep understanding of red teaming, penetration testing, and threat-informed analysis. You will leverage modern automation and AI-assisted security techniques to enhance detection and remediation outcomes. The position involves hands-on work with web, API, network, cloud, mobile, and LLM environments to ensure robust security posture. You will utilize security tools such as Burp Suite, Nmap, Metasploit, Nessus/Qualys, and cloud security tools to perform manual exploitation beyond automated scanning. The role demands strong knowledge of OWASP Top 10, MITRE ATT&CK, and modern application architectures to understand common attack techniques and vulnerability chaining. You will assess and prioritize security risks based on technical severity and business impact, communicating findings effectively to engineering teams and executives.

You will collaborate with cross-functional teams to define business problems, quantify key metrics, and explore data to build analytical models. Your work will involve leveraging various data processing tools and exploring data science and machine learning research to drive actionable insights. You will also be responsible for communicating findings and recommendations to stakeholders to support decision-making processes.

Join Agoda's Back End Engineering team to build scalable, fault-tolerant systems that power our core business logic. This role focuses on leading the development of AI-powered data querying solutions, enabling users to interact with data through natural language. You will also architect and develop scalable data quality tools and frameworks to ensure reliable and trustworthy data. As a senior technical leader, you will operate across AI, data infrastructure, and reliability domains, driving high-impact initiatives and serving as a key technical authority across the organization. This position is based in Bangkok, Thailand, with relocation support provided. You will collaborate with TPMs and stakeholders to define and drive the technical vision and roadmap for AI-driven querying, query engines, and data quality tools. Additionally, you will mentor engineers and raise standards across data quality & governance tools, query engines, and the broader data platform.

You will collaborate with various teams at Grab, including Country Business, Operations, Marketing, Engineering, and Product, to understand data requirements and identify key metrics. Your role involves providing tailored, data-driven solutions that support the evolving innovation in the Thai market. You will report to an Analytics Manager and work onsite at the Grab office. You will take end-to-end ownership of medium-sized analytics projects, defining methodologies to deliver reliable, scalable, and reproducible solutions. You will also contribute to analytics-wide frameworks and integrate operations and marketing workflows into established data solutions. Additionally, you will collaborate with stakeholders to align data initiatives with operational goals and communicate analytical solutions to mid-to-senior level partners.