This position is based in Bangkok, Thailand. (Relocation support is provided)

In this Role, you'll get to:

• Lead the technical vision, architecture, and execution of new SRE platforms or reliability initiatives.
• Define and promote SRE best practices across Agoda’s services e.g., SLI/SLO-driven engineering, error budgets, and other data-driven reliability factors.
• Design, build, and operate reliability platforms including load shedding , business signals monitoring, and safe-deployment automation to reduce blast radius while preserving developer velocity.
• Own safe deployment strategies such as canary releases, automated rollback, and business-impact protection integrated with deployment & monitoring.
• Proactively identify and mitigate reliability and scaling risks across Agoda’s services.
• Improve system resilience and multi-cluster readiness by partnering with platform team and operation team.
• Lead major incident response and operational excellence, driving fast detection, mitigation, root cause analysis, postmortems, and learnings focused on business impact.
• Maintain and evolve incident, observability, alerting, and on-call tooling, improving signal quality, alert enrichment, grouping, and reducing time-to-clue and time-to-mitigation for NOC and on-call engineers.
• Advance platform observability and reliability signals using Prometheus and Grafana, balancing actionability, scale, and cost efficiency.
• Define reliability roadmaps and OKRs, translating ambiguous business reliability goals into clear technical requirements.

What You’ll Need to Succeed:

• 8+ years of relevant experience.
• Demonstrated ownership of architecting, building, and operating mission-critical production systems, making long-term technical and reliability trade-off decisions.
• Proven ability to lead and coordinate complex cross-team initiatives, setting technical direction and aligning stakeholders to deliver outcomes at organizational scale.
• Expertise in one or more programming skills (e.g., Go, Python, Rust, Java) with a solid understanding of distributed systems fundamentals (concurrency, backpressure, timeouts/retries, idempotency, circuit breaking).
• Deep hands-on experience with the Kubernetes ecosystem, service mesh technologies (e.g., Istio), Kubernetes deployment workflows (e.g., Argo CD).
• Observability & monitoring expertise, using Prometheus, Grafana, and common logging/telemetry stacks (e.g., OpenTelemetry), with an understanding of signal quality, scalability, and cost trade-offs.
• Strong incident management lifecycle aiming for improving area of alert quality, alert management, incident response, RCA, and postmortems.
• Experience with reliability engineering patterns such as canary deployments, automated rollback, capacity/right-sizing automation, and production operation.
• Solid data analysis, including SQL(e.g., PostgreSQL, MSSQL) and data pipelines.
• Data-driven mindset, able to perform deep research, analyze complex problems, and make informed technical decisions.
• Excellent communication and collaboration skills, able to explain complex technical concepts clearly to stakeholders at all levels, and to operate effectively both as a self-directed individual contributor and as part of a team.
• Curiosity and continuous learning, staying current with industry trends, open-source advancements, and emerging reliability practices.

Nice-to-Have:

• Experience operating large-scale, high-QPS systems serving millions of users in domains such as e-commerce, travel, or fintech.
• Hands-on experience with multi-region / multi-DC architectures and traffic isolation or failover strategies.
• Background in chaos engineering and resilience testing.
• Experience defining or scaling org-wide SLO/SRE frameworks.
• Built or operated Kubernetes controllers/operators.
• Exposure to ML-assisted detection or statistical methods for signal tuning (e.g., windowing strategies, precision/recall trade-offs).

#Bengaluru #SãoPaulo #Delhi #NewYorkCity #Nigeria #London #Hyderabad #Pune #Mumbai #Colombia #Paris #Jakarta #Chennai #SanFrancisco #WashingtonDC #Toronto #Pakistan #LosAngeles #Dallas #Chicago #Kenya #Boston #Shanghai #Egypt #BuenosAires #Manila #Netherlands #Singapore #RiodeJaneiro #Beijing #Atlanta #Sydney #Madrid #Vietnam #SaudiArabia #Peru #Melbourne #Ireland #Russia #Bangladesh #MexicoCity #Philadelphia #Chile #SeattleArea #Noida #Kolkata #Guangdong #UnitedArabEmirates #TelAvivDistrict #Houston #KualaLumpur #BeloHorizonte #SouthKorea #Bangkok #Istanbul #Austin #Curitiba #Warsaw #Campinas #Barcelona #Ukraine #CostaRica #Berlin #Romania #Denver #Johannesburg #Minneapolis #Manchester #Miami #Phoenix #Detroit #Coimbatore #Milan #PortoAlegre #Vancouver #Montreal #Charlotte #SanDiego #Ghana #SaltLakeCity #Raleigh #HongKong #Munich #Prague #Ecuador #TampaBay #Tokyo #Serbia #Lithuania #Taipei #Cracow #Zhejiang #CapeTown #Brasilia #Columbus #Ahmedabad #Indore #Kochi #Gurgaon #Chandigarh #Lucknow #Bhubaneswar #Thiruvananthapuram #Visakhapatnam #Bhopal #JerseyCity #Irving #Denton #Worcester #Arlington #OverlandPark #AuroraDistrict #Baltimore #Tampa #Halethorpe #Dayton #Syracuse #Chonburi #ChiangMai #NakhonRatchasima #KhonKaen #HatYai #Phuket #Surabaya #Tangerang #Birmingham #Casablanca #Rabat #Camp #PetalingJaya #GeorgeTown

This position is based in Bangkok, Thailand. (Relocation support is provided)

In this Role, you'll get to:

• Lead the technical vision, architecture, and execution of new SRE platforms or reliability initiatives.
• Define and promote SRE best practices across Agoda’s services e.g., SLI/SLO-driven engineering, error budgets, and other data-driven reliability factors.
• Design, build, and operate reliability platforms including load shedding , business signals monitoring, and safe-deployment automation to reduce blast radius while preserving developer velocity.
• Own safe deployment strategies such as canary releases, automated rollback, and business-impact protection integrated with deployment & monitoring.
• Proactively identify and mitigate reliability and scaling risks across Agoda’s services.
• Improve system resilience and multi-cluster readiness by partnering with platform team and operation team.
• Lead major incident response and operational excellence, driving fast detection, mitigation, root cause analysis, postmortems, and learnings focused on business impact.
• Maintain and evolve incident, observability, alerting, and on-call tooling, improving signal quality, alert enrichment, grouping, and reducing time-to-clue and time-to-mitigation for NOC and on-call engineers.
• Advance platform observability and reliability signals using Prometheus and Grafana, balancing actionability, scale, and cost efficiency.
• Define reliability roadmaps and OKRs, translating ambiguous business reliability goals into clear technical requirements.

What You’ll Need to Succeed:

• 8+ years of relevant experience.
• Demonstrated ownership of architecting, building, and operating mission-critical production systems, making long-term technical and reliability trade-off decisions.
• Proven ability to lead and coordinate complex cross-team initiatives, setting technical direction and aligning stakeholders to deliver outcomes at organizational scale.
• Expertise in one or more programming skills (e.g., Go, Python, Rust, Java) with a solid understanding of distributed systems fundamentals (concurrency, backpressure, timeouts/retries, idempotency, circuit breaking).
• Deep hands-on experience with the Kubernetes ecosystem, service mesh technologies (e.g., Istio), Kubernetes deployment workflows (e.g., Argo CD).
• Observability & monitoring expertise, using Prometheus, Grafana, and common logging/telemetry stacks (e.g., OpenTelemetry), with an understanding of signal quality, scalability, and cost trade-offs.
• Strong incident management lifecycle aiming for improving area of alert quality, alert management, incident response, RCA, and postmortems.
• Experience with reliability engineering patterns such as canary deployments, automated rollback, capacity/right-sizing automation, and production operation.
• Solid data analysis, including SQL(e.g., PostgreSQL, MSSQL) and data pipelines.
• Data-driven mindset, able to perform deep research, analyze complex problems, and make informed technical decisions.
• Excellent communication and collaboration skills, able to explain complex technical concepts clearly to stakeholders at all levels, and to operate effectively both as a self-directed individual contributor and as part of a team.
• Curiosity and continuous learning, staying current with industry trends, open-source advancements, and emerging reliability practices.

Nice-to-Have:

• Experience operating large-scale, high-QPS systems serving millions of users in domains such as e-commerce, travel, or fintech.
• Hands-on experience with multi-region / multi-DC architectures and traffic isolation or failover strategies.
• Background in chaos engineering and resilience testing.
• Experience defining or scaling org-wide SLO/SRE frameworks.
• Built or operated Kubernetes controllers/operators.
• Exposure to ML-assisted detection or statistical methods for signal tuning (e.g., windowing strategies, precision/recall trade-offs).

#Bengaluru #SãoPaulo #Delhi #NewYorkCity #Nigeria #London #Hyderabad #Pune #Mumbai #Colombia #Paris #Jakarta #Chennai #SanFrancisco #WashingtonDC #Toronto #Pakistan #LosAngeles #Dallas #Chicago #Kenya #Boston #Shanghai #Egypt #BuenosAires #Manila #Netherlands #Singapore #RiodeJaneiro #Beijing #Atlanta #Sydney #Madrid #Vietnam #SaudiArabia #Peru #Melbourne #Ireland #Russia #Bangladesh #MexicoCity #Philadelphia #Chile #SeattleArea #Noida #Kolkata #Guangdong #UnitedArabEmirates #TelAvivDistrict #Houston #KualaLumpur #BeloHorizonte #SouthKorea #Bangkok #Istanbul #Austin #Curitiba #Warsaw #Campinas #Barcelona #Ukraine #CostaRica #Berlin #Romania #Denver #Johannesburg #Minneapolis #Manchester #Miami #Phoenix #Detroit #Coimbatore #Milan #PortoAlegre #Vancouver #Montreal #Charlotte #SanDiego #Ghana #SaltLakeCity #Raleigh #HongKong #Munich #Prague #Ecuador #TampaBay #Tokyo #Serbia #Lithuania #Taipei #Cracow #Zhejiang #CapeTown #Brasilia #Columbus #Ahmedabad #Indore #Kochi #Gurgaon #Chandigarh #Lucknow #Bhubaneswar #Thiruvananthapuram #Visakhapatnam #Bhopal #JerseyCity #Irving #Denton #Worcester #Arlington #OverlandPark #AuroraDistrict #Baltimore #Tampa #Halethorpe #Dayton #Syracuse #Chonburi #ChiangMai #NakhonRatchasima #KhonKaen #HatYai #Phuket #Surabaya #Tangerang #Birmingham #Casablanca #Rabat #Camp #PetalingJaya #GeorgeTown

Get to Know our Team 

Agoda’s Technical Product Management (TPM) organization drives internal platforms and tools that enable thousands of engineers to build and operate world-class products efficiently and reliably. Our TPMs play a key role in bridging business, data, and technology—translating complex needs into scalable solutions that empower teams across the company. 

The Observability domain ensures Agoda’s systems are visible, traceable, and resilient—helping us maximize uptime and minimize recovery time from incidents so customers always enjoy the best experience possible. This includes building and evolving our platforms for telemetry, distributed tracing, anomaly detection, alerting, and incident management. The work is both highly technical and highly impactful, sitting at the core of Agoda’s Production Excellence. 

The Opportunity 

As a Technical Product Manager for Observability, you will lead the vision, roadmap, and delivery of Agoda’s observability platforms. You’ll collaborate with engineers, SREs, and data scientists to strengthen our ability to detect, prevent, and resolve production issues faster—leveraging data and AI to drive smarter, more proactive monitoring. 

This is a high-impact role that shapes how Agoda builds reliable, scalable systems powering millions of traveler experiences every day. 

In This Role, You’ll Get To: 

• Own the full product lifecycle for observability platforms—from concept to delivery and continuous improvement.
• Define the vision for anomaly detection, tracing, and visibility systems that accelerate detection and recovery.
• Partner with engineers, SREs, and product teams to identify reliability pain points and prioritize impactful solutions.
• Balance product velocity with technical debt and operational risk, working closely with senior engineers.
• Define and track key metrics to measure platform impact.
• Collaborate with data scientists to apply ML/AI techniques.
• Communicate effectively across all levels—especially during complex or time-sensitive situations.
• Demonstrate strong leadership, organization, and execution skills to drive initiatives from concept to launch.
• Stay current with industry trends in observability, SRE, and ML-driven monitoring, and apply them at Agoda. 

What You’ll Need to Succeed: 

• 3+ years of technical product or program management experience in a fast-paced environment.
• 5+ years of technical experience/familiarity with observability, reliability, or production excellence domains (e.g., monitoring, tracing, incident management).
• Strong product management and communication skills, with the ability to influence without authority across technical and business teams.
• Proven ability to define vision and strategy, set clear priorities, and deliver measurable impact.
• Experience managing complex, cross-functional technical initiatives end-to-end.
• Excellent stakeholder management and presentation skills; able to simplify complex technical concepts.
• Familiarity with observability, reliability, or production excellence domains (e.g., monitoring, tracing, incident management).
• Analytical and data-driven mindset; comfortable using metrics, dashboards, or SQL to support decision-making.
• Highly organized and adaptable, able to manage multiple priorities and navigate ambiguity.
• Hands-on experience with product management tools (e.g., JIRA, Confluence).
• Energetic, curious, and proactive—the drive to “figure things out” and make meaningful improvements. 

***This position requires a successful candidate to relocate fully to Bangkok, Thailand, where relocation support is provided.***

#bangkok #sanjose #losangeles #sydney #melbourne #perth  #vancouver #shanghai #beijing #shenzhen #copenhagen #paris #hongkong #budapest #jakarta #dublin #telaviv #milan #rome #tokyo #kualalumpur #amsterdam #oslo #jerusalem #moscow #barcelona #madrid #stockholm #zurich #taipei #london #wroclaw #warsaw #chennai #pune #toronto #austin #sydney #chichago #noida #delhi #seattle #hyderabad #gurgaon #newyork #bangalore #boston #bengaluru #berlin #mumbai #IT #4 #5 #LI-ST2 #LI-Hybrid

Technical Product Manager – ML & LLM Platforms

The Opportunity
Agoda is rapidly accelerating its AI transformation. Our ambition is to make ML and LLM application development fast, scalable, reliable, and increasingly autonomous.
We are looking for a Technical Product Manager to own and evolve Agoda’s ML & LLM Ops platforms. This role will shape how teams across Agoda build, iterate, deploy, monitor, and scale machine learning and large language model applications.

You will operate at the intersection of platform engineering, applied AI teams, and emerging AI coding agents — ensuring our internal platforms are production-grade, optimized for experimentation, and increasingly native to AI-assisted development.

This is a high-impact role in a fast-moving space, where the goal is not just to support ML/LLM applications — but to enable them to be created and iterated on with increasing automation and minimal human friction.

In This Role, You’ll Get to 

• Define and evolve the product vision and roadmap for Agoda’s ML & LLM Ops platforms
• Shape how teams productionize ML models and LLM-powered applications
• Identify platform gaps, scalability constraints, and optimization opportunities
• Drive the evolution of our platform to support AI-native development workflows and coding agents

Requirements & Opportunity Discovery

• Gather requirements from ML engineers, data scientists, backend engineers, and AI application teams
• Translate complex technical needs into clear product requirements and prioritization frameworks
• Proactively identify opportunities to reduce friction, improve reliability, and increase deployment velocity
• Balance experimentation flexibility with governance, safety, and cost efficiency

Execution & Delivery

• Own features end-to-end: concept, specification, prioritization, implementation, and post-launch analysis
• Partner closely with engineering to balance platform scalability, performance, and technical debt
• Ensure platform capabilities support monitoring, evaluation, retraining, versioning, and observability of ML/LLM systems
• Drive adoption through documentation, training, and internal evangelism

AI-Native Platform Evolution

• Collaborate with engineering to level up Agoda’s platforms to be more compatible with AI coding assistants and autonomous agents
• Ensure platform APIs, tooling, and abstractions enable meaningful AI-generated code contributions
• Help define guardrails and workflows that allow safe, reliable AI-assisted development

What You’ll Need to Succeed

• 5+ years of experience in ML engineering, data science, platform engineering, or a related technical domain
• 2+ years of technical product or program management experience in fast-paced, high-scale environments
• Experience working with ML Ops and/or LLM Ops concepts (model lifecycle, evaluation, monitoring, versioning, deployment pipelines)

Technical Depth

• Strong understanding of ML systems and model lifecycle management
• Familiarity with LLM application patterns (RAG, fine-tuning, prompt management, evaluation frameworks, etc.)
• Comfortable discussing architecture, APIs, infrastructure trade-offs, and scalability concerns with senior engineers
• Strong analytical mindset with the ability to reason about system design, performance, and cost trade-offs

Leadership & Mindset

• Strong cross-functional leadership skills and ability to influence without authority
• Comfortable operating in ambiguity and rapidly evolving technological landscapes
• Excellent communication skills — able to translate between business, platform engineering, and AI application teams
• Proactive, structured thinker with a strong problem-solving mindset
• High ownership and bias for impact

Why This Role Is Unique

• You will shape how AI is built at scale inside Agoda.
• You will influence the evolution of our internal platforms toward AI-native and agent-compatible development.
• You will work at the forefront of ML and LLM production systems in a rapidly changing ecosystem.
• Your work will directly accelerate Agoda’s ability to deliver AI-powered experiences to millions of customers worldwide.

***This position requires a successful candidate to relocate fully to Bangkok, Thailand, where relocation support is provided.***

#bangkok #sanjose #losangeles #sydney #melbourne #perth  #vancouver #shanghai #beijing #shenzhen #copenhagen #paris #hongkong #budapest #jakarta #dublin #telaviv #milan #rome #tokyo #kualalumpur #amsterdam #oslo #jerusalem #moscow #barcelona #madrid #stockholm #zurich #taipei #london #wroclaw #warsaw #chennai #pune #toronto #austin #sydney #chichago #noida #delhi #seattle #hyderabad #gurgaon #newyork #bangalore #boston #bengaluru #berlin #mumbai #IT #4 #5 #LI-ST2 #LI-Hybrid

Are you driven by the desire to deliver exceptional client experiences and thrive in a dynamic environment? At INFUSE, we're seeking a passionate Client Success Specialist to join our team, where your efforts directly contribute to our clients' satisfaction and our company's success. This position offers an enriching path to professional growth and the unique opportunity to work with a variety of industries, ensuring no two days are the same. INFUSE has built a reputation as a beloved employer by prioritizing employee satisfaction and creating a workplace where everyone feels valued and connected. Joining our team means becoming part of a supportive community that celebrates every success and encourages continuous improvement. You'll discover how our employees love their jobs, driven by the meaningful connections they make and the positive impact they have on our clients' businesses.

Key Responsibilities

This position is based in Bangkok, Thailand. (Relocation support is provided)

In this Role, you'll get to:

• Lead the technical vision, architecture, and execution of new SRE platforms or reliability initiatives.
• Define and promote SRE best practices across Agoda’s services e.g., SLI/SLO-driven engineering, error budgets, and other data-driven reliability factors.
• Design, build, and operate reliability platforms including load shedding , business signals monitoring, and safe-deployment automation to reduce blast radius while preserving developer velocity.
• Own safe deployment strategies such as canary releases, automated rollback, and business-impact protection integrated with deployment & monitoring.
• Proactively identify and mitigate reliability and scaling risks across Agoda’s services.
• Improve system resilience and multi-cluster readiness by partnering with platform team and operation team.
• Lead major incident response and operational excellence, driving fast detection, mitigation, root cause analysis, postmortems, and learnings focused on business impact.
• Maintain and evolve incident, observability, alerting, and on-call tooling, improving signal quality, alert enrichment, grouping, and reducing time-to-clue and time-to-mitigation for NOC and on-call engineers.
• Advance platform observability and reliability signals using Prometheus and Grafana, balancing actionability, scale, and cost efficiency.
• Define reliability roadmaps and OKRs, translating ambiguous business reliability goals into clear technical requirements.

What You’ll Need to Succeed:

• 8+ years of relevant experience.
• Demonstrated ownership of architecting, building, and operating mission-critical production systems, making long-term technical and reliability trade-off decisions.
• Proven ability to lead and coordinate complex cross-team initiatives, setting technical direction and aligning stakeholders to deliver outcomes at organizational scale.
• Expertise in one or more programming skills (e.g., Go, Python, Rust, Java) with a solid understanding of distributed systems fundamentals (concurrency, backpressure, timeouts/retries, idempotency, circuit breaking).
• Deep hands-on experience with the Kubernetes ecosystem, service mesh technologies (e.g., Istio), Kubernetes deployment workflows (e.g., Argo CD).
• Observability & monitoring expertise, using Prometheus, Grafana, and common logging/telemetry stacks (e.g., OpenTelemetry), with an understanding of signal quality, scalability, and cost trade-offs.
• Strong incident management lifecycle aiming for improving area of alert quality, alert management, incident response, RCA, and postmortems.
• Experience with reliability engineering patterns such as canary deployments, automated rollback, capacity/right-sizing automation, and production operation.
• Solid data analysis, including SQL(e.g., PostgreSQL, MSSQL) and data pipelines.
• Data-driven mindset, able to perform deep research, analyze complex problems, and make informed technical decisions.
• Excellent communication and collaboration skills, able to explain complex technical concepts clearly to stakeholders at all levels, and to operate effectively both as a self-directed individual contributor and as part of a team.
• Curiosity and continuous learning, staying current with industry trends, open-source advancements, and emerging reliability practices.

Nice-to-Have:

• Experience operating large-scale, high-QPS systems serving millions of users in domains such as e-commerce, travel, or fintech.
• Hands-on experience with multi-region / multi-DC architectures and traffic isolation or failover strategies.
• Background in chaos engineering and resilience testing.
• Experience defining or scaling org-wide SLO/SRE frameworks.
• Built or operated Kubernetes controllers/operators.
• Exposure to ML-assisted detection or statistical methods for signal tuning (e.g., windowing strategies, precision/recall trade-offs).

#Bengaluru #SãoPaulo #Delhi #NewYorkCity #Nigeria #London #Hyderabad #Pune #Mumbai #Colombia #Paris #Jakarta #Chennai #SanFrancisco #WashingtonDC #Toronto #Pakistan #LosAngeles #Dallas #Chicago #Kenya #Boston #Shanghai #Egypt #BuenosAires #Manila #Netherlands #Singapore #RiodeJaneiro #Beijing #Atlanta #Sydney #Madrid #Vietnam #SaudiArabia #Peru #Melbourne #Ireland #Russia #Bangladesh #MexicoCity #Philadelphia #Chile #SeattleArea #Noida #Kolkata #Guangdong #UnitedArabEmirates #TelAvivDistrict #Houston #KualaLumpur #BeloHorizonte #SouthKorea #Bangkok #Istanbul #Austin #Curitiba #Warsaw #Campinas #Barcelona #Ukraine #CostaRica #Berlin #Romania #Denver #Johannesburg #Minneapolis #Manchester #Miami #Phoenix #Detroit #Coimbatore #Milan #PortoAlegre #Vancouver #Montreal #Charlotte #SanDiego #Ghana #SaltLakeCity #Raleigh #HongKong #Munich #Prague #Ecuador #TampaBay #Tokyo #Serbia #Lithuania #Taipei #Cracow #Zhejiang #CapeTown #Brasilia #Columbus #Ahmedabad #Indore #Kochi #Gurgaon #Chandigarh #Lucknow #Bhubaneswar #Thiruvananthapuram #Visakhapatnam #Bhopal #JerseyCity #Irving #Denton #Worcester #Arlington #OverlandPark #AuroraDistrict #Baltimore #Tampa #Halethorpe #Dayton #Syracuse #Chonburi #ChiangMai #NakhonRatchasima #KhonKaen #HatYai #Phuket #Surabaya #Tangerang #Birmingham #Casablanca #Rabat #Camp #PetalingJaya #GeorgeTown

This position is based in Bangkok, Thailand. (Relocation support is provided)

In this Role, you'll get to:

• Lead the technical vision, architecture, and execution of new SRE platforms or reliability initiatives.
• Define and promote SRE best practices across Agoda’s services e.g., SLI/SLO-driven engineering, error budgets, and other data-driven reliability factors.
• Design, build, and operate reliability platforms including load shedding , business signals monitoring, and safe-deployment automation to reduce blast radius while preserving developer velocity.
• Own safe deployment strategies such as canary releases, automated rollback, and business-impact protection integrated with deployment & monitoring.
• Proactively identify and mitigate reliability and scaling risks across Agoda’s services.
• Improve system resilience and multi-cluster readiness by partnering with platform team and operation team.
• Lead major incident response and operational excellence, driving fast detection, mitigation, root cause analysis, postmortems, and learnings focused on business impact.
• Maintain and evolve incident, observability, alerting, and on-call tooling, improving signal quality, alert enrichment, grouping, and reducing time-to-clue and time-to-mitigation for NOC and on-call engineers.
• Advance platform observability and reliability signals using Prometheus and Grafana, balancing actionability, scale, and cost efficiency.
• Define reliability roadmaps and OKRs, translating ambiguous business reliability goals into clear technical requirements.

What You’ll Need to Succeed:

• 8+ years of relevant experience.
• Demonstrated ownership of architecting, building, and operating mission-critical production systems, making long-term technical and reliability trade-off decisions.
• Proven ability to lead and coordinate complex cross-team initiatives, setting technical direction and aligning stakeholders to deliver outcomes at organizational scale.
• Expertise in one or more programming skills (e.g., Go, Python, Rust, Java) with a solid understanding of distributed systems fundamentals (concurrency, backpressure, timeouts/retries, idempotency, circuit breaking).
• Deep hands-on experience with the Kubernetes ecosystem, service mesh technologies (e.g., Istio), Kubernetes deployment workflows (e.g., Argo CD).
• Observability & monitoring expertise, using Prometheus, Grafana, and common logging/telemetry stacks (e.g., OpenTelemetry), with an understanding of signal quality, scalability, and cost trade-offs.
• Strong incident management lifecycle aiming for improving area of alert quality, alert management, incident response, RCA, and postmortems.
• Experience with reliability engineering patterns such as canary deployments, automated rollback, capacity/right-sizing automation, and production operation.
• Solid data analysis, including SQL(e.g., PostgreSQL, MSSQL) and data pipelines.
• Data-driven mindset, able to perform deep research, analyze complex problems, and make informed technical decisions.
• Excellent communication and collaboration skills, able to explain complex technical concepts clearly to stakeholders at all levels, and to operate effectively both as a self-directed individual contributor and as part of a team.
• Curiosity and continuous learning, staying current with industry trends, open-source advancements, and emerging reliability practices.

Nice-to-Have:

• Experience operating large-scale, high-QPS systems serving millions of users in domains such as e-commerce, travel, or fintech.
• Hands-on experience with multi-region / multi-DC architectures and traffic isolation or failover strategies.
• Background in chaos engineering and resilience testing.
• Experience defining or scaling org-wide SLO/SRE frameworks.
• Built or operated Kubernetes controllers/operators.
• Exposure to ML-assisted detection or statistical methods for signal tuning (e.g., windowing strategies, precision/recall trade-offs).

#Bengaluru #SãoPaulo #Delhi #NewYorkCity #Nigeria #London #Hyderabad #Pune #Mumbai #Colombia #Paris #Jakarta #Chennai #SanFrancisco #WashingtonDC #Toronto #Pakistan #LosAngeles #Dallas #Chicago #Kenya #Boston #Shanghai #Egypt #BuenosAires #Manila #Netherlands #Singapore #RiodeJaneiro #Beijing #Atlanta #Sydney #Madrid #Vietnam #SaudiArabia #Peru #Melbourne #Ireland #Russia #Bangladesh #MexicoCity #Philadelphia #Chile #SeattleArea #Noida #Kolkata #Guangdong #UnitedArabEmirates #TelAvivDistrict #Houston #KualaLumpur #BeloHorizonte #SouthKorea #Bangkok #Istanbul #Austin #Curitiba #Warsaw #Campinas #Barcelona #Ukraine #CostaRica #Berlin #Romania #Denver #Johannesburg #Minneapolis #Manchester #Miami #Phoenix #Detroit #Coimbatore #Milan #PortoAlegre #Vancouver #Montreal #Charlotte #SanDiego #Ghana #SaltLakeCity #Raleigh #HongKong #Munich #Prague #Ecuador #TampaBay #Tokyo #Serbia #Lithuania #Taipei #Cracow #Zhejiang #CapeTown #Brasilia #Columbus #Ahmedabad #Indore #Kochi #Gurgaon #Chandigarh #Lucknow #Bhubaneswar #Thiruvananthapuram #Visakhapatnam #Bhopal #JerseyCity #Irving #Denton #Worcester #Arlington #OverlandPark #AuroraDistrict #Baltimore #Tampa #Halethorpe #Dayton #Syracuse #Chonburi #ChiangMai #NakhonRatchasima #KhonKaen #HatYai #Phuket #Surabaya #Tangerang #Birmingham #Casablanca #Rabat #Camp #PetalingJaya #GeorgeTown

How You'll Make an Impact:

As a Customer Success leader, you will work across functional areas to drive results, promote communication, and ensure accountability. Our aim is to create a best-in-class customer experience in Thailand- to accomplish this, you will lead team members across support, implementation, and account management, working hand-in-hand with Thai and non-Thai teams.

Our Customer Success Team:

Forget the stuffy corporate office—we are a completely remote global team of innovators and experts, with a cross-functional Customer Success team of 15+ in Thailand. We are our clients' secret weapon and trusted advisor. You'll own our Thai portfolio of customers, keeping retention high, churn low, and customers happy. 

Motivated, meticulous, results-driven individuals who can communicate well will fit right in!

What You Bring to the Team:

• Proven ability to lead regional Customer Success functions across Support, Onboarding, and Account Management. accountable for core metrics such as NDR, onboarding success, and service quality.
• 8+ years of combined experience in hospitality or hospitality technology, including at least 3 years in leadership roles.
• Fluent in Thai with excellent English communication skills. Able to represent Thai customers internally and collaborate effectively across global teams.
  Demonstrated success leading Thai teams and partnering with other Thai leaders and departments, while operating within a multinational structure.
• Deep understanding of Thailand’s hospitality landscape. able to balance cultural expectations, customer relationships, and Cloudbeds’ global standards.
• Strong ability to translate technical and operational concepts into clear, practical guidance for non-technical customers and internal teams.

What Sets You Up for Success:

• Bachelor’s degree or equivalent experience in hospitality, business, or technology.
• Balanced career background in both traditional hospitality and hospitality technology, with at least 2 years in each.
• Track record of career progression and developing high-performing teams.
• Excellent leadership and crisis management skills. confident handling of escalations and cross-functional alignment.
• Proven success working within international companies and adapting to both Thai and global business environments.
• High professional fluency in both Thai and English (spoken and written).

Bonus Skills to Stand Out (Optional):

• Sr Leadership Experience (managing managers)
• Advanced degree in Hospitality or Business

#LI-AM1

How You'll Make an Impact:

As a Customer Success leader, you will work across functional areas to drive results, promote communication, and ensure accountability. Our aim is to create a best-in-class customer experience in Thailand- to accomplish this, you will lead team members across support, implementation, and account management, working hand-in-hand with Thai and non-Thai teams.

Our Customer Success Team:

Forget the stuffy corporate office—we are a completely remote global team of innovators and experts, with a cross-functional Customer Success team of 15+ in Thailand. We are our clients' secret weapon and trusted advisor. You'll own our Thai portfolio of customers, keeping retention high, churn low, and customers happy. 

Motivated, meticulous, results-driven individuals who can communicate well will fit right in!

What You Bring to the Team:

• Proven ability to lead regional Customer Success functions across Support, Onboarding, and Account Management. accountable for core metrics such as NDR, onboarding success, and service quality.
• 8+ years of combined experience in hospitality or hospitality technology, including at least 3 years in leadership roles.
• Fluent in Thai with excellent English communication skills. Able to represent Thai customers internally and collaborate effectively across global teams.
  Demonstrated success leading Thai teams and partnering with other Thai leaders and departments, while operating within a multinational structure.
• Deep understanding of Thailand’s hospitality landscape. able to balance cultural expectations, customer relationships, and Cloudbeds’ global standards.
• Strong ability to translate technical and operational concepts into clear, practical guidance for non-technical customers and internal teams.

What Sets You Up for Success:

• Bachelor’s degree or equivalent experience in hospitality, business, or technology.
• Balanced career background in both traditional hospitality and hospitality technology, with at least 2 years in each.
• Track record of career progression and developing high-performing teams.
• Excellent leadership and crisis management skills. confident handling escalations and cross-functional alignment.
• Proven success working within international companies and adapting to both Thai and global business environments.
• High professional fluency in both Thai and English (spoken and written).

Bonus Skills to Stand Out (Optional):

• Sr Leadership Experience (managing managers)
• Advanced degree in Hospitality or Business

#LI-AM1

How You'll Make an Impact:

As a Customer Success leader, you will work across functional areas to drive results, promote communication, and ensure accountability. Our aim is to create a best-in-class customer experience in Thailand- to accomplish this, you will lead team members across support, implementation, and account management, working hand-in-hand with Thai and non-Thai teams.

Our Customer Success Team:

Forget the stuffy corporate office—we are a completely remote global team of innovators and experts, with a cross-functional Customer Success team of 15+ in Thailand. We are our clients' secret weapon and trusted advisor. You'll own our Thai portfolio of customers, keeping retention high, churn low, and customers happy. 

Motivated, meticulous, results-driven individuals who can communicate well will fit right in!

What You Bring to the Team:

• Proven ability to lead regional Customer Success functions across Support, Onboarding, and Account Management. accountable for core metrics such as NDR, onboarding success, and service quality.
• 8+ years of combined experience in hospitality or hospitality technology, including at least 3 years in leadership roles.
• Fluent in Thai with excellent English communication skills. Able to represent Thai customers internally and collaborate effectively across global teams.
  Demonstrated success leading Thai teams and partnering with other Thai leaders and departments, while operating within a multinational structure.
• Deep understanding of Thailand’s hospitality landscape. able to balance cultural expectations, customer relationships, and Cloudbeds’ global standards.
• Strong ability to translate technical and operational concepts into clear, practical guidance for non-technical customers and internal teams.

What Sets You Up for Success:

• Bachelor’s degree or equivalent experience in hospitality, business, or technology.
• Balanced career background in both traditional hospitality and hospitality technology, with at least 2 years in each.
• Track record of career progression and developing high-performing teams.
• Excellent leadership and crisis management skills. confident handling escalations and cross-functional alignment.
• Proven success working within international companies and adapting to both Thai and global business environments.
• High professional fluency in both Thai and English (spoken and written).

Bonus Skills to Stand Out:

• Sr Leadership Experience (managing managers)
• Advanced degree in Hospitality or Business

#LI-AM1

How You'll Make an Impact:

As a Customer Success leader, you will work across functional areas to drive results, promote communication, and ensure accountability. Our aim is to create a best-in-class customer experience in Thailand- to accomplish this, you will lead team members across support, implementation, and account management, working hand-in-hand with Thai and non-Thai teams.

Our Customer Success Team:

Forget the stuffy corporate office—we are a completely remote global team of innovators and experts, with a cross-functional Customer Success team of 15+ in Thailand. We are our clients' secret weapon and trusted advisor. You'll own our Thai portfolio of customers, keeping retention high, churn low, and customers happy. 

Motivated, meticulous, results-driven individuals who can communicate well will fit right in!

What You Bring to the Team:

• Proven ability to lead regional Customer Success functions across Support, Onboarding, and Account Management. accountable for core metrics such as NDR, onboarding success, and service quality.
• 8+ years of combined experience in hospitality or hospitality technology, including at least 3 years in leadership roles.
• Fluent in Thai with excellent English communication skills. Able to represent Thai customers internally and collaborate effectively across global teams.
  Demonstrated success leading Thai teams and partnering with other Thai leaders and departments, while operating within a multinational structure.
• Deep understanding of Thailand’s hospitality landscape. able to balance cultural expectations, customer relationships, and Cloudbeds’ global standards.
• Strong ability to translate technical and operational concepts into clear, practical guidance for non-technical customers and internal teams.

What Sets You Up for Success:

• Bachelor’s degree or equivalent experience in hospitality, business, or technology.
• Balanced career background in both traditional hospitality and hospitality technology, with at least 2 years in each.
• Track record of career progression and developing high-performing teams.
• Excellent leadership and crisis management skills. confident handling of escalations and cross-functional alignment.
• Proven success working within international companies and adapting to both Thai and global business environments.
• High professional fluency in both Thai and English (spoken and written).

Bonus Skills to Stand Out (Optional):

• Sr Leadership Experience (managing managers)
• Advanced degree in Hospitality or Business

#LI-AM1

How You'll Make an Impact: 

As an Onboarding Coach, we’re looking for someone who truly understands hospitality and can step into our clients’ shoes to demonstrate how our system makes their lives easier. You’ll care for our clients and their properties just as you would for a guest in a hotel—always going the extra mile. In this role, you’ll train clients on the system, tailoring it to fit their needs as a hospitality business. By asking the right questions, you’ll get to know your clients and ensure that, by the end of the onboarding process, they have a complete understanding of and confidence in using the system.

Our Customer Onboarding Team: 

As part of our Customer Onboarding Team, you’ll play a vital role in bringing our motto *“more reservations, happier guests” to life. Our team is close-knit and collaborative, living this motto every day by working closely together to provide exceptional support and ensure a seamless onboarding experience for our customers.

If you’re ready to make a difference and be part of an exciting journey, we’d love to have you on board!

What You Bring to the Team: 

• Facilitate client onboarding, training, and ongoing support onsite in the property or remotely.
• Resolve customer inquiries and troubleshoot escalated issues across multiple channels.
• Partner with Sales to define success, demonstrate ROI, and drive retention.
• Build strong client relationships to encourage loyalty and promote product adoption.
• Develop a deep understanding of Cloudbeds’ products and customer needs.
• Contribute to training materials and stay updated on system changes.
• Record activities in Salesforce, gather feedback, and share insights for product improvements.

What Sets You Up for Success: 

• Communicate product offerings clearly and synthesize feedback for internal teams.
• Share customer insights and opportunities across departments to drive alignment.
• Manage multiple projects or accounts with strong organizational and proactive skills.
• Empower clients to become self-sufficient during onboarding and beyond.
• Deliver exceptional communication with empathy and a customer-focused approach.
• Bring over 3 years of 5-star hospitality experience in roles like Front Desk or Revenue Manager within a leading hotel brand, or possess at least 3 years of relevant SaaS industry experience in customer-facing role.

Recommended Skills to Stand Out: 

• Project Management certification.
• Knowledge of Onsite Onboarding.

NOTE: PLEASE SUBMIT YOUR CV/RESUME IN ENGLISH

At Cloudbeds, we’re on a mission to power every property in the world. To achieve this, we need to attract the best talent who are driven to make an impact and grow with us. We’re seeking dynamic, entrepreneurial Sales Executives who excel in business development and are eager to take ownership of a growing market.

As a Sales Executive, you'll play a pivotal role in expanding Cloudbeds' presence. You will be responsible for identifying and acquiring new business opportunities, building strong relationships with prospects, and showcasing how Cloudbeds’ industry-leading SaaS solutions are transforming the hospitality space. This is a hunting role focused on acquiring new clients.

What You Will Do:

• Assess market trends and opportunities in your assigned territory to identify and engage new prospects.
• Prepare targeted lead lists and engage in proactive outreach, including a high volume of cold-calling, to drive sales.
• Identify and communicate potential partnership opportunities to our Partnerships team to strengthen Cloudbeds’ market position. 
• Deliver impactful product demonstrations, both virtually and in person, to highlight how Cloudbeds can solve key challenges for hospitality businesses.
• Attend local events and visit properties to connect with potential customers (less than 10% travel required).
• Serve as the face of Cloudbeds in your local market, representing the brand with confidence and expertise.

You’ll Succeed With: 

• A self-motivated, results-oriented mindset with a passion for business development.
• Experience in selling technology solutions into the hotel or hospitality industry
• Excitement for new technology with a strong technical aptitude.
• Proven expertise in outbound sales strategies, especially cold-calling and network building.
• Excellent communication skills, with the ability to inspire and persuade potential clients.
• Demonstrated sales and negotiation skills, with a history of exceeding targets.
• Strong organizational and time-management abilities.
• A willingness to challenge the status quo and think outside the box to drive success.

Nice to Have:

• Good knowledge of PMS technology
• Multilingual capabilities.
• Experience in the hospitality or lodging industry.

#LI-JS1

Get To Know Our Team:

The Supply Analytics team delivers data-driven insights and decision support to optimize Agoda’s supply ecosystem. We analyze partner and marketplace dynamics, build forecasts and models, run experiments, and create scalable dashboards and data products that power strategic direction and operational execution. We bring value through rigorous analyses and pragmatic, measurable recommendations that help Supply, Product and other teams prioritize work and drive impact. Our work improves inventory quality, partner economics, and the long-term health and growth of Agoda.

The Opportunity:

As a Senior Analyst, you will report directly to either the Senior Manager or Associate Director within the Supply Department and this will be an individual contributor role. You will be responsible and fully empowered to work with the partners on the ground. You will be supported by a team within the Supply department and work closely with other Team members within Agoda.   ​​​​​​​

What You’ll Do:

• Partner with stakeholders to translate complex needs into actionable data projects by driving business data alignment, hypothesis testing, and output design.
• Apply deep commercial acumen to the analytical lifecycle, from refining initial briefs and testing business-critical hypotheses to delivering insights that directly influence our key account strategies.
• Use and analyze data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders.
• Proactively identify opportunities for growth within supply and the wider business.
• Drive new analytical initiatives and projects aimed at improving organizational efficiency and shaping Agoda supply.
• Automate manual operational processes and present back on time savings gained through modernization of business operations.

Required Qualifications:

• At least 2-5+ years of experience working as an Analyst with experience in consulting analytics / strategy analytics / analytics.
• Advanced working knowledge and hands-on experience in SQL.
• Expertise in data analysis and visualization tools, including advanced Excel skills (INDEX/MATCH, PivotTables, RANKIF, and building complex business models).
• Bachelor’s degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance). 
• Basic understanding of statistical modelling knowledge or any machine learning technique knowledge (such as hypothesis testing, regression, logistic regression, random forest, etc.)
• Good stakeholder management experience. Comfortable presenting to senior leadership.
• Strong experience in finding data insights and provide business recommendation to the business.
• A hacker’s mindset – the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping. 
• Excellent communicator with superior written, verbal, presentation and interpersonal communication skills. 
• Data driven in both decision making and performance measurement. 
• Extreme comfort in ambiguous, fast-paced environment.
• Ability to multi-task, prioritize and coordinate resources.

Preferred Qualifications:

• Experience with Python or R.
• Experience conducting A/B testing and experimentation.
• Knowledge of and hands-on experience with data visualization tools such as Tableau (preferred). 

Location: Remote 

How You'll Make an Impact:

As a Strategic Account Manager on our Thailand team, you'll be the trusted partner that our largest and most complex customers rely on to get the most out of Cloudbeds. You'll manage a focused portfolio of high-value properties across Thailand, bringing deep hospitality expertise and a consultative approach to every interaction — from strategic business reviews to on-site property visits. This isn't just account management; it's true strategic partnership. You'll help hoteliers make smarter decisions, optimize their operations, and grow their business, while playing a key role in shaping how Cloudbeds shows up in one of our most dynamic and demanding markets

Our AM Team is responsible for identifying upsell opportunities for ACV expansion and minimizing customer churn. AMs will act as the first point of contact for all things related to Cloudbeds. They are responsible for guiding clients through their customer journey while providing recommendations on how to best improve their business in order to achieve success. As a Strategic AM you will make the motto “more reservations, happier guests” a reality by providing strategic guidance to our customers around the world and helping them achieve their “Success Outcomes.”

What You Bring to the Team:

• Manage a focused portfolio of Cloudbeds' largest and most complex hotel customers in Thailand, serving as their primary point of contact and strategic advisor for everything Cloudbeds-related
• Build deep, trust-based relationships with senior hotel stakeholders through regular touchpoints, strategic business reviews, and on-site property visits across Thailand
• Drive net dollar retention by identifying upsell and expansion opportunities and implementing proactive churn reduction strategies across your portfolio
• Act as a true strategic partner — leveraging your hospitality expertise to provide tailored recommendations that help customers optimize their revenue, operations, and commercial performance
• Manage complex customer escalations and collaborate cross-functionally with Support, Sales, and Product teams to ensure timely and effective resolution
• Analyze customer data and usage trends to identify opportunities for deeper product adoption and improved business outcomes
• Gather and synthesize customer feedback and requirements, communicating insights internally to help shape the future direction of the Cloudbeds platform
• Conduct regular on-site visits to customer properties across Thailand, traveling locally on a monthly basis and inter-city (e.g., Bangkok to Phuket) at least once per quarter

What Sets You Up for Success:

• Bring 7+ years of hospitality industry experience in senior operational or commercial roles — Revenue Manager, Director of Revenue, Operations Manager, General Manager, or similar — within hotels or hospitality properties in Thailand
• Demonstrate advanced understanding of hotel operations and commercial strategy, including revenue management, distribution, pricing, budgeting, and property management systems (PMS)
• Possess deep experience in the Thai hospitality market with a strong grasp of regional customer expectations, business practices, and the nuances of managing high-value hotel relationships
• Deliver exceptional communication with executive presence, credibility, and the ability to influence and present effectively at all levels of a hotel organization
• Speak Thai fluently (native proficiency) with strong English communication skills to collaborate effectively with a global remote team
• Demonstrate a track record of managing complex, high-value customer portfolios with strong organizational skills, proactive follow-through, and a results-driven mindset
• Show ability to learn and deeply understand technology platforms and translate technical concepts into practical, strategic recommendations for hoteliers

Bonus Skills to Stand Out:

• Experience with SaaS platforms or hospitality technology (PMS, RMS, channel managers, or similar tools) — either as a power user or in a customer-facing tech role
• Familiarity with Salesforce or similar CRM and account management tools
• Based in or with significant market experience in Phuket or other key Thai resort markets
  
  #LI-REMOTE #LI-AM1

Location: Remote 

How You'll Make an Impact:

As a Strategic Account Manager on our Thailand team, you'll be the trusted partner that our largest and most complex customers rely on to get the most out of Cloudbeds. You'll manage a focused portfolio of high-value properties across Thailand, bringing deep hospitality expertise and a consultative approach to every interaction — from strategic business reviews to on-site property visits. This isn't just account management; it's true strategic partnership. You'll help hoteliers make smarter decisions, optimize their operations, and grow their business, while playing a key role in shaping how Cloudbeds shows up in one of our most dynamic and demanding markets

Our AM Team is responsible for identifying upsell opportunities for ACV expansion and minimizing customer churn. AMs will act as the first point of contact for all things related to Cloudbeds. They are responsible for guiding clients through their customer journey while providing recommendations on how to best improve their business in order to achieve success. As a Strategic AM you will make the motto “more reservations, happier guests” a reality by providing strategic guidance to our customers around the world and helping them achieve their “Success Outcomes.”

What You Bring to the Team:

• Manage a focused portfolio of Cloudbeds' largest and most complex hotel customers in Thailand, serving as their primary point of contact and strategic advisor for everything Cloudbeds-related
• Build deep, trust-based relationships with senior hotel stakeholders through regular touchpoints, strategic business reviews, and on-site property visits across Thailand
• Drive net dollar retention by identifying upsell and expansion opportunities and implementing proactive churn reduction strategies across your portfolio
• Act as a true strategic partner — leveraging your hospitality expertise to provide tailored recommendations that help customers optimize their revenue, operations, and commercial performance
• Manage complex customer escalations and collaborate cross-functionally with Support, Sales, and Product teams to ensure timely and effective resolution
• Analyze customer data and usage trends to identify opportunities for deeper product adoption and improved business outcomes
• Gather and synthesize customer feedback and requirements, communicating insights internally to help shape the future direction of the Cloudbeds platform
• Conduct regular on-site visits to customer properties across Thailand, traveling locally on a monthly basis and inter-city (e.g., Bangkok to Phuket) at least once per quarter

What Sets You Up for Success:

• Bring 7+ years of hospitality industry experience in senior operational or commercial roles — Revenue Manager, Director of Revenue, Operations Manager, General Manager, or similar — within hotels or hospitality properties in Thailand
• Demonstrate advanced understanding of hotel operations and commercial strategy, including revenue management, distribution, pricing, budgeting, and property management systems (PMS)
• Possess deep experience in the Thai hospitality market with a strong grasp of regional customer expectations, business practices, and the nuances of managing high-value hotel relationships
• Deliver exceptional communication with executive presence, credibility, and the ability to influence and present effectively at all levels of a hotel organization
• Speak Thai fluently (native proficiency) with strong English communication skills to collaborate effectively with a global remote team
• Demonstrate a track record of managing complex, high-value customer portfolios with strong organizational skills, proactive follow-through, and a results-driven mindset
• Show ability to learn and deeply understand technology platforms and translate technical concepts into practical, strategic recommendations for hoteliers

Bonus Skills to Stand Out:

• Experience with SaaS platforms or hospitality technology (PMS, RMS, channel managers, or similar tools) — either as a power user or in a customer-facing tech role
• Familiarity with Salesforce or similar CRM and account management tools
• Based in or with significant market experience in Phuket or other key Thai resort markets

The Opportunity 

Are you passionate about driving operational excellence and process transformation? Do you thrive in a fast-paced, data-driven environment? Agoda’s Finance Operations Excellence is seeking an Assistant Manager/Senior Specialist to help us reimagine and optimize our finance processes. You will play a key role in identifying improvement opportunities, implementing best-in-class solutions, and supporting our journey towards building a world-class finance operations center. 

Key Responsibilities 

• Process Improvement & Transformation: 
  Analyze, design, and implement process improvements across finance operations (AP, AR, GL, payments, reconciliations, etc.) to drive efficiency, accuracy, and business value. Be comfortable in executing VSMs and Kaizens independently. Be conversant with the latest trends in process improvement leveraging AI/ML and GenAI 

• Data Analysis & Insights: 
  Leverage data analytics to identify trends, root causes (using lean methods), and improvement opportunities. Develop dashboards and reports to monitor KPIs and process health. 

• Project Management & Stakeholder Engagement: 
  Support and/or lead cross-functional projects with finance, product, tech and business teams independently, ensuring timely delivery of milestones and effective stakeholder communication. 

• Automation & Technology Enablement: 
  Create macro-based solutions and/or collaborate with technology teams to automate manual processes using RPA, workflow tools, and other digital solutions. 

• Documentation & Training: 
  Develop and maintain process documentation, SOPs, and training materials to ensure knowledge transfer and compliance. Be conversant with BPMN standards & tools of process documentation 

• Quality & Controls: 
  Identify and support the implementation of internal controls and quality assurance measures to mitigate risks and ensure compliance.

What You’ll Need to Succeed 

Technical & Functional Skills 

• Experience with process mapping, process reengineering, and Lean/Six Sigma methodologies  

• Solid understanding of finance operations processes (OTC, PTP and RTR). Experience as a User of these processes is a plus.   

• Strong analytical skills; ability to work with large datasets, perform detailed root cause analysis, and generate actionable insights and improvement plans. 

• Skilled at creating Excel macros to automate processes is preferred 

• Proficiency in Excel and data visualization tools (e.g., Power BI, Tableau). 

• Familiarity with finance systems (ERP, SAP, Oracle, etc.) and automation tools (RPA, Alteryx, UiPath, etc.) is highly desirable. 

Behavioral Attributes 

• Strong problem-solving mindset with a continuous improvement orientation. 

• Excellent communication, articulation and interpersonal skills; able to influence and collaborate with stakeholders at all levels. 

• High attention to detail and commitment to quality. 

• Self-starter with the ability to manage multiple priorities in a fast-paced environment. 

• Adaptable, resilient, and comfortable with ambiguity and change. 

Qualifications 

• Bachelor’s/Master’s degree in Finance, Accounting, Business, Engineering, or a related field. 

• 5+ years of relevant experience in driving improvements in finance operations 

• Experience in a tech or e-commerce environment is an advantage. 

• Professional certifications (CA, PMP, CPA, etc.) are a plus.  

#LI-NS2 

#Taipei #Hongkong #Singapore #Kualalumpur #Shanghai #Beijing #Tokyo #Seoul #Hanoi #Bangkok #Phuket #Pakistan #Bangladesh #Manila #HoChiMinh #Nigeria #SriLanka #Jakarta #Prague #Berlin #Madrid #Sofia #Budapest #Lisbon #Rome #Columbia #Atlanta #GreaterSaoPaulo #India #Mumbai #Bangalore #Kaizen #LeanSixSigma #Lean#CPA#Accounting #Finance#FinanceOperation #FinanceOptimization #Processimprovement #Financeandaccounting #PTP #RTR #GL #Generalledger #AR #AP #LeanPractitioner #OEP #CBPP #OperationalExcellenceProfessionalCertification #CertifiedBusinessProcessProfessional #LeanPractitioner 

The Opportunity

This is not a customer‑facing Product role. This position sits within Agoda’s Tax team under the broader Finance organization, focusing on internal finance and tax platforms that enable compliance, automation, and scalable operations.

As a Finance Systems Product Manager / Senior Specialist (Tax Technology), you will play a critical role in the design, implementation, and ongoing operation of Agoda’s tax technology stack, with a strong focus on indirect tax engines and compliance enablement.

Based in Bangkok with Agoda Services Co. Ltd, this role reports to the Tax Data & Technology Associate Director and is part of a Tax organization that is rapidly expanding to support the evolving global tax landscape for digital services. While the role applies product‑management principles (such as requirements definition, solution design, and lifecycle ownership), it is not part of Agoda’s core Product organization. Instead, you will act as a hands‑on tax systems and solutions partner, working closely with Finance, Accounting, Product, Engineering, Legal, and senior stakeholders, as well as sister brands and our US parent company.

This is a systems‑first, highly practical role at the intersection of tax, data, and technology. You will translate complex tax requirements into scalable system logic, contributing directly to Agoda’s compliance, automation, and risk‑mitigation agenda in a fast‑growing, platform‑driven environment.

As Agoda continues to evolve, the scope of this role may expand. You will be expected to adapt, grow, and take on new responsibilities as the organization and regulatory landscape change.

Key Responsibilities

Tax Systems Design & Implementation

• Contribute to the design, implementation, and continuous enhancement of tax and tax‑related systems, with a primary focus on indirect tax engines and tax services
• Partner with Finance, Accounting, Product, and Engineering teams to define, test, and embed tax requirements into core platforms
• Own and support ERP tax configuration and maintenance, including tax codes and related setup
• Support the integration and optimization of external tax engines and tools across ERP, billing, and payment systems
• Support tax technology initiatives end‑to‑end, from requirements gathering and solution design through UAT, go‑live, and transition to business‑as‑usual support

Indirect Tax Compliance Enablement

• Ensure tax systems are correctly configured to support indirect tax compliance across multiple jurisdictions
• Embed system support for digital tax requirements such as e‑invoicing, real‑time reporting, and jurisdiction‑specific mandates
• Support the Tax team during audits and inquiries by ensuring accurate system outputs, traceability, and audit readiness

Tax Data, Controls & Governance

• Support the definition and maintenance of tax‑relevant data models, ensuring accuracy, consistency, and usability across systems
• Work with Tax, Finance, and Technology teams to design and test automated tax controls embedded within systems and processes
• Document tax processes, system logic, and data flows to support governance, transparency, and control frameworks

Cross‑Functional Collaboration

• Act as a Tax Technology Subject Matter Expert (SME) within the Finance function
• Translate tax requirements into clear, structured functional specifications and system logic that technology teams can build against
• Liaise with external vendors and implementation partners during system upgrades, integrations, and enhancements

Continuous Improvement & Change

• Identify opportunities to standardize, automate, and simplify tax processes through improved system design and usage
• Stay informed on indirect tax regulatory developments and assess their impact on existing tax technology solutions
• Contribute to the evolution of the Tax Data & Technology roadmap, supporting a scalable, compliance‑first tax ecosystem

Qualifications & Skills

• 6+ years of experience in tax technology, tax systems, or tax transformation projects within a multinational or digital business
• Degree in Accounting, Tax, Finance, Information Systems, Computer Science, or a related field; professional tax or accounting qualification is a plus
• Proven experience translating indirect tax requirements into system logic, tax determination rules, and configurations
• Hands‑on experience with ERP systems and indirect tax engines, including configuration, testing, and issue resolution
• Familiarity with automation and data analytics tools (e.g. Alteryx, Power BI, or similar)
• Strong ability to analyze end‑to‑end transaction flows, identifying tax determination gaps, data quality issues, and system limitations
• Comfortable working cross‑functionally with Finance, Accounting, Product, Engineering, and Tax teams
• Clear, structured communicator with strong documentation skills, able to explain system logic and tax behavior to non‑technical stakeholders
• Experience working in agile or iterative delivery environments is a plus
• Able to operate effectively in a fast‑changing environment, with the flexibility to grow as the role evolves

#Thailand #Singapore #Malaysia #Philippines #India #UK #Ireland #Netherlands #Germany #Australia #NewZealand #USA #Canada #TaxTechnology #TaxSystems #IndirectTax #VAT #GST #ERP #FinanceTechnology #TaxCompliance #DigitalTax #TaxData

This role is for candidates who are available to work as interns during Winter Internship 2026

Who is Sertis?

Sertis is a leading Data and AI company based in the heart of Bangkok. We provide both off-the-shelf and customized solutions for our clients ranging from data infrastructure, BI development, and data-driven business insights to forecasting, optimization, and computer vision. Our expert team of data and AI consultants work closely with clients, across different industries such as retail, manufacturing, banking, energy, airlines, agriculture, and healthcare, to understand their business needs and deliver bespoke solutions using cutting-edge technologies that are just right for them.

Our aim is to be one of the leading Data and AI companies globally, where a diverse mix of talent want to come, stay, and do their best work. We pride ourselves on bringing not only the best, but also nice, talent from around the World. We recognise that our company runs on our people's hard work and dedication while maintaining a culture that encourages learning, growth opportunity, innovative contribution, and a sense of ownership.

For more information, please visit: https://www.sertiscorp.com/ 

As a Machine Learning Engineer Intern at Sertis, you will gain hands-on experience supporting the productionization of data science research and AI-driven solutions. You will work alongside experienced ML engineers to understand how AI models are deployed on diverse hardware platforms, assist in building MLOps infrastructure, and contribute to writing production-grade software for model inference. This internship is an excellent opportunity to apply your academic knowledge to real-world generative AI projects and agentic systems within a fast-paced, collaborative environment.

In this role, you will get to:

• Support cross-functional teams in understanding business requirements and contribute to designing ML solutions to address those needs.
• Assist in developing and maintaining scalable infrastructure for model training and deployment under the guidance of senior engineers.
• Help develop cloud-native APIs, pipelines, and general software components for model inference.
• Gain exposure to cutting-edge foundation models and assist in building agentic systems from scratch.
• Assist in troubleshooting and resolving issues related to generative AI models and their implementations.
• Contribute to writing and maintaining clear technical documentation.

You'll be successful if you have:

• Currently studying a Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• A foundational understanding of machine learning concepts and the Software Development Life Cycle (SDLC).
• Good programming skills in Python, and ideally some familiarity with C++ or other languages used in ML applications.
• An awareness of Generative AI concepts and curiosity about real-world AI applications.
• Some exposure to LLM APIs such as OpenAI or Hugging Face through coursework, projects, or self-study.
• Good communication and interpersonal skills to effectively work with team members

Nice to have:

• A basic understanding of REST APIs and git version control; familiarity with CI/CD and MLOps principles is a plus.
• Any exposure to cloud platforms (AWS, GCP, or Azure) is a plus.
• Some familiarity with Docker and containerization concepts is a plus.

​This is your chance to build your career in a growing data-driven and AI industry.

APPLY NOW!

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Who is Sertis?

Sertis is a leading Data and AI company based in the heart of Bangkok. We provide both off-the-shelf and customized solutions for our clients. Our expert team of data and AI consultants work closely with clients, across different industries such as retail, manufacturing, banking, energy, airlines, agriculture, and healthcare, to understand their business needs and deliver bespoke solutions using cutting-edge technologies that are just right for them.

Overview of the job

As an Machine Learning / AI Engineer at Sertis, you will play a pivotal role in productionizing advanced data science research. You will be responsible for efficiently running AI models on diverse hardware platforms and architectures, designing and building robust MLOps infrastructure, optimizing models for deployment, and writing production-ready software for model inference. You will work on real-world generative AI use-cases and agentic systems, and collaborate on the development of cutting-edge autonomous, intelligent applications at scale.

In this role, you will get to:

• Collaborate with cross-functional teams to understand business requirements and design ML solutions to meet those needs.
• Develop and maintain scalable infrastructure for model training and deployment.
• Develop cloud-native APIs, pipelines, and general software for model inference.
• Work with cutting-edge foundation models and build agentic systems from scratch
• Troubleshoot and resolve issues related to generative AI models and implementations.
• Engage with clients to gather requirements and ensure smooth collaboration throughout project lifecycles.
• Develop and maintain technical documentation.

You'll be successful if you have:

• At least 2 years of experience as an AI/ML Engineer, past experience in Data science, Software development and/or Machine learning for cloud-based solutions.
• A strong understanding of machine learning processes and standards, as well as the Software Development Life Cycle (SDLC).
• Strong programming skills in Python, C++, or other languages commonly used in machine learning applications.
• Good understanding of Generative AI concepts and real-world experience developing Generative AI applications
• Hands-on experience with LLM APIs such as OpenAI or Hugging Face
• An understanding of REST APIs, git version control, CI/CD, and MLOps principles.
• Experience with cloud platforms such as AWS, GCP, or Azure
• Experience with Docker and containerization.
• Excellent problem-solving skills and the ability to work well in a fast-paced, collaborative environment.
• The ability to scope projects, define architectures, and choose technologies based on project requirements.
• Strong communication and interpersonal skills to effectively collaborate with clients and team members.
• Proven experience in providing technical mentorship and guidance to junior engineers.
• Strong communication skills in English 

APPLY NOW!

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What Makes Us Unique:

At Cloudbeds, we're not just building software, we’re transforming hospitality. Our intelligently designed platform powers properties across 150 countries, processing billions in bookings annually. From independent properties to hotel groups, we help hoteliers transform operations and uplevel their commercial strategy through a unified platform that integrates with hundreds of partners. And we do it with a completely remote team. Imagine working alongside global innovators to build AI-powered solutions that solve hoteliers' biggest challenges. Since our founding in 2012, we've become the World's Best Hotel PMS Solutions Provider and landed on Deloitte's Technology Fast 500 again in 2024 – but we're just getting started. 

Location: Remote 

How You'll Make an Impact:

As an Account Manager on our Thailand team, you'll be the strategic partner our most influential customers rely on — helping them get the most out of Cloudbeds while building the kind of lasting relationships that make hoteliers feel truly supported. You'll manage a focused portfolio of mid-market properties across Thailand, combining your deep knowledge of the local hospitality industry with a consultative approach to drive product engagement, uncover growth opportunities, and keep customers thriving. From on-site visits to strategic business reviews, you'll be the face of Cloudbeds in one of our most dynamic and fast-growing markets.

Our AM Team is responsible for identifying upsell opportunities for ACV expansion and minimizing customer churn. AMs will act as the first point of contact for all things related to Cloudbeds. They are responsible for guiding clients through their customer journey while providing recommendations on how to best improve their business in order to achieve success. As an AM you will make the motto “more reservations, happier guests” a reality by providing strategic guidance to our customers around the world and helping them achieve their “Success Outcomes.”

What You Bring to the Team:

• Manage a portfolio of mid-market hotel customers across Thailand, serving as their primary point of contact for everything Cloudbeds-related
• Build strong, trust-based relationships with key customer stakeholders through regular touchpoints, strategic business reviews, and on-site property visits
• Conduct regular on-site visits to customer properties across Thailand, traveling locally on a monthly basis and inter-city (e.g., Bangkok to Phuket) at least once per quarter
• Act as a strategic advisor — leveraging your hospitality expertise to provide tailored recommendations that help customers optimize their operations and commercial performance
• Identify and drive upsell opportunities while proactively implementing churn reduction strategies to support net dollar retention goals
• Manage customer escalations, collaborate cross-functionally with Support, Sales, and Product teams, and ensure customer concerns are resolved efficiently
• Analyze customer data and usage trends to improve product engagement and identify opportunities for deeper adoption
• Capture and communicate customer feedback and requirements to internal teams to help shape the future of the platform

What Sets You Up for Success:

• Bring 5+ years of hospitality industry experience in key operational roles such as Revenue Manager, Front Desk Manager, Operations Manager, or General Manager within hotels or hospitality properties in Thailand
• Demonstrate strong understanding of hotel operations, including revenue management, front desk workflows, reporting, and property management systems (PMS)
• Possess experience in the Thai hospitality market with deep knowledge of regional customer needs, expectations, and business practices
• Deliver exceptional communication with empathy, resilience, and a genuine passion for serving customers — even in challenging situations
• Speak Thai fluently (native proficiency) with strong English communication skills to collaborate effectively with a global remote team
• Show ability to learn technology platforms quickly and translate technical concepts into practical solutions for hoteliers
• Manage multiple customer accounts and projects simultaneously with strong organizational skills and proactive follow-through

Bonus Skills to Stand Out (Optional):

• Experience with SaaS platforms or hospitality technology (PMS, RMS, channel managers, or similar tools) — either as a user or in a customer-facing tech role
• Familiarity with Salesforce or similar CRM tools
• Experience working in or with properties in Phuket, Chiang Mai, or other key Thai tourism markets

#LI-REMOTE #LI-AM1

What Makes Us Unique:

At Cloudbeds, we're not just building software, we’re transforming hospitality. Our intelligently designed platform powers properties across 150 countries, processing billions in bookings annually. From independent properties to hotel groups, we help hoteliers transform operations and uplevel their commercial strategy through a unified platform that integrates with hundreds of partners. And we do it with a completely remote team. Imagine working alongside global innovators to build AI-powered solutions that solve hoteliers' biggest challenges. Since our founding in 2012, we've become the World's Best Hotel PMS Solutions Provider and landed on Deloitte's Technology Fast 500 again in 2024 – but we're just getting started. 

Location: Remote 

How You'll Make an Impact:

As an Account Manager on our Thailand team, you'll be the strategic partner our most influential customers rely on — helping them get the most out of Cloudbeds while building the kind of lasting relationships that make hoteliers feel truly supported. You'll manage a focused portfolio of mid-market properties across Thailand, combining your deep knowledge of the local hospitality industry with a consultative approach to drive product engagement, uncover growth opportunities, and keep customers thriving. From on-site visits to strategic business reviews, you'll be the face of Cloudbeds in one of our most dynamic and fast-growing markets.

Our AM Team is responsible for identifying upsell opportunities for ACV expansion and minimizing customer churn. AMs will act as the first point of contact for all things related to Cloudbeds. They are responsible for guiding clients through their customer journey while providing recommendations on how to best improve their business in order to achieve success. As an AM you will make the motto “more reservations, happier guests” a reality by providing strategic guidance to our customers around the world and helping them achieve their “Success Outcomes.”

What You Bring to the Team:

• Manage a portfolio of mid-market hotel customers across Thailand, serving as their primary point of contact for everything Cloudbeds-related
• Build strong, trust-based relationships with key customer stakeholders through regular touchpoints, strategic business reviews, and on-site property visits
• Conduct regular on-site visits to customer properties across Thailand, traveling locally on a monthly basis and inter-city (e.g., Bangkok to Phuket) at least once per quarter
• Act as a strategic advisor — leveraging your hospitality expertise to provide tailored recommendations that help customers optimize their operations and commercial performance
• Identify and drive upsell opportunities while proactively implementing churn reduction strategies to support net dollar retention goals
• Manage customer escalations, collaborate cross-functionally with Support, Sales, and Product teams, and ensure customer concerns are resolved efficiently
• Analyze customer data and usage trends to improve product engagement and identify opportunities for deeper adoption
• Capture and communicate customer feedback and requirements to internal teams to help shape the future of the platform

What Sets You Up for Success:

• Bring 5+ years of hospitality industry experience in key operational roles such as Revenue Manager, Front Desk Manager, Operations Manager, or General Manager within hotels or hospitality properties in Thailand
• Demonstrate strong understanding of hotel operations, including revenue management, front desk workflows, reporting, and property management systems (PMS)
• Possess experience in the Thai hospitality market with deep knowledge of regional customer needs, expectations, and business practices
• Deliver exceptional communication with empathy, resilience, and a genuine passion for serving customers — even in challenging situations
• Speak Thai fluently (native proficiency) with strong English communication skills to collaborate effectively with a global remote team
• Show ability to learn technology platforms quickly and translate technical concepts into practical solutions for hoteliers
• Manage multiple customer accounts and projects simultaneously with strong organizational skills and proactive follow-through

Bonus Skills to Stand Out (Optional):

• Experience with SaaS platforms or hospitality technology (PMS, RMS, channel managers, or similar tools) — either as a user or in a customer-facing tech role
• Familiarity with Salesforce or similar CRM tools
• Experience working in or with properties in Phuket, Chiang Mai, or other key Thai tourism markets

#LI-REMOTE #LI-AM1

What Makes Us Unique:

At Cloudbeds, we're not just building software, we’re transforming hospitality. Our intelligently designed platform powers properties across 150 countries, processing billions in bookings annually. From independent properties to hotel groups, we help hoteliers transform operations and uplevel their commercial strategy through a unified platform that integrates with hundreds of partners. And we do it with a completely remote team. Imagine working alongside global innovators to build AI-powered solutions that solve hoteliers' biggest challenges. Since our founding in 2012, we've become the World's Best Hotel PMS Solutions Provider and landed on Deloitte's Technology Fast 500 again in 2024 – but we're just getting started. 

Location: Remote 

How You'll Make an Impact:

As an Account Manager on our Thailand team, you'll be the strategic partner our most influential customers rely on — helping them get the most out of Cloudbeds while building the kind of lasting relationships that make hoteliers feel truly supported. You'll manage a focused portfolio of mid-market properties across Thailand, combining your deep knowledge of the local hospitality industry with a consultative approach to drive product engagement, uncover growth opportunities, and keep customers thriving. From on-site visits to strategic business reviews, you'll be the face of Cloudbeds in one of our most dynamic and fast-growing markets.

Our AM Team is responsible for identifying upsell opportunities for ACV expansion and minimizing customer churn. AMs will act as the first point of contact for all things related to Cloudbeds. They are responsible for guiding clients through their customer journey while providing recommendations on how to best improve their business in order to achieve success. As an AM you will make the motto “more reservations, happier guests” a reality by providing strategic guidance to our customers around the world and helping them achieve their “Success Outcomes.”

What You Bring to the Team:

• Manage a portfolio of mid-market hotel customers across Thailand, serving as their primary point of contact for everything Cloudbeds-related
• Build strong, trust-based relationships with key customer stakeholders through regular touchpoints, strategic business reviews, and on-site property visits
• Conduct regular on-site visits to customer properties across Thailand, traveling locally on a monthly basis and inter-city (e.g., Bangkok to Phuket) at least once per quarter
• Act as a strategic advisor — leveraging your hospitality expertise to provide tailored recommendations that help customers optimize their operations and commercial performance
• Identify and drive upsell opportunities while proactively implementing churn reduction strategies to support net dollar retention goals
• Manage customer escalations, collaborate cross-functionally with Support, Sales, and Product teams, and ensure customer concerns are resolved efficiently
• Analyze customer data and usage trends to improve product engagement and identify opportunities for deeper adoption
• Capture and communicate customer feedback and requirements to internal teams to help shape the future of the platform

What Sets You Up for Success:

• Bring 5+ years of hospitality industry experience in key operational roles such as Revenue Manager, Front Desk Manager, Operations Manager, or General Manager within hotels or hospitality properties in Thailand
• Demonstrate strong understanding of hotel operations, including revenue management, front desk workflows, reporting, and property management systems (PMS)
• Possess experience in the Thai hospitality market with deep knowledge of regional customer needs, expectations, and business practices
• Deliver exceptional communication with empathy, resilience, and a genuine passion for serving customers — even in challenging situations
• Speak Thai fluently (native proficiency) with strong English communication skills to collaborate effectively with a global remote team
• Show ability to learn technology platforms quickly and translate technical concepts into practical solutions for hoteliers
• Manage multiple customer accounts and projects simultaneously with strong organizational skills and proactive follow-through

Bonus Skills to Stand Out (Optional):

• Experience with SaaS platforms or hospitality technology (PMS, RMS, channel managers, or similar tools) — either as a user or in a customer-facing tech role
• Familiarity with Salesforce or similar CRM tools
• Experience working in or with properties in Phuket, Chiang Mai, or other key Thai tourism markets

Capco, a Wipro company, is a global technology and management consultancy specialising in driving digital transformation in the financial services industry. With a growing client portfolio comprising of over 100 global organisations, Capco operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to deliver end-to-end data-driven solutions and fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Capco’s cutting-edge ingenuity is brought to life through its Innovation Labs and award-winning Be Yourself At Work culture and diverse talent.

Role Summary

A Senior Backend Engineer is responsible for designing and developing scalable backend systems in alignment with enterprise architecture and IT standards. The role focuses on delivering high-quality Java-based applications, following SDLC and banking compliance requirements, while continuously adopting modern technologies, including AI/ML frameworks.

The engineer will enhance and maintain existing systems, troubleshoot production issues as 3rd tier support, and collaborate closely with cross-functional teams—particularly AI/ML teams—to integrate advanced capabilities such as conversational AI into backend services. Strong emphasis is placed on code quality, system reliability, and continuous technology improvement.

What You’ll Do

• Technical analysis and application design aligned with standards in IT Blueprint.
• Adopt and apply proper technology in development, including emerging AI frameworks. 
• Develop with proper programming language (Java, etc.) and ensure high-quality code.
• Support technology-related information required for development.
• Keep updated on IT application technology to be able to adopt properly, especially in AI/ML domains.
• Apply application development with SDLC methodology and comply with banking regulations.
• Identify areas for modification in existing programs and subsequently develop these modifications.
• Write and implement efficient code with quality embedded.
• Troubleshoot and fix related problems to ensure smooth and efficient banking service/operation as 3rd tier support. 
• Collaborate with AI/ML teams to integrate conversational AI capabilities into backend banking services.

What We’re Looking For

• 8+ years experience in software development, with a focus on backend systems.
• 3+ years strong experience in Java, Spring Boot, PostgreSQL, and RESTful APIs.
• 3+ years experienced in Scrum/Agile methodologies. 
• Understand related software design diagrams such as UML, ER, etc.
• Experienced in Microservices architecture.
• Experienced in extreme programming, TDD, pair programming.
• Experienced in any public cloud such as Azure, AWS, or GCP.
• Experienced in Container and Docker Compose is a plus.
• Experienced in Deployment and DevOps is a plus.
• Proficient in Thai and English at intermediate level or above, sufficient for technical discussions, meetings, and written documentation
• Can work at the office at least 4 days a week (Mon-Thu)

Preferred Qualifications

• Experience with Java-based AI frameworks such as Spring AI, LangChain4j, or Semantic Kernel.
• Knowledge of prompt engineering and designing prompts for financial/banking contexts.
• Proven interest in AI technologies and their application in financial services (e.g. conversational banking, intelligent assistants).
• Experience integrating LLM APIs (OpenAI, etc.) with secure and compliant backend systems. 

Why Join CAPCO

• Work on engaging projects with some of the largest banks/insurance in the world, on projects that will transform the financial services industry
• Work in a collaborative, flat, and entrepreneurial consulting culture
• Access continuous learning, training, and industry certifications
• Be part of a team shaping the future of digital financial services
• Help shape the future of digital transformation across FS & Energy

We offer

• A work culture focused on innovation and creating lasting value for our clients and employees
• Ongoing learning opportunities to help you acquire new skills or deepen existing expertise in our financial services offerings
• A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients
• An agile, diverse, entrepreneurial, inclusive, meritocratic culture

Joining Capco means joining an organisation that is committed to an inclusive working environment where you’re encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It’s important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table – so we’d love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help.

We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter.

#LI-PW1 #LI-Hybrid

Employment Type: Full-time & Permanent 

Location: Dubai, UAE (Initial), Phuket, Thailand (From November 2026) Visa sponsorship and relocation assistance provided for both locations if needed. 

Monthly Base Salary range of THB 158,000 to THB 265,000 per month + performance-based bonus + opportunity to join our employee share scheme 

About Cobblestone Energy 

Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence. 

The Phuket Roadmap 

This role offers a unique global career path. To ensure seamless integration into our culture and trading strategies, the successful candidate will begin their journey at our Dubai headquarters. In November 2026, the role will transition permanently to our upcoming hub in Phuket, Thailand, offering a blend of high-impact work and an exceptional lifestyle. 

Cobblestone Values 

• Excellence in Hiring & Teamwork 
• Lifelong Learning Through Continuous Reflection 
• Independent Thinking Through a Meritocracy of Ideas 
• Winning 

Role Description: 

We are seeking a highly motivated and talented Data Scientist to join our dynamic team. With a passion for data-driven solutions and a strong academic background, the successful candidate will play a critical role in shaping business decisions and driving operational excellence through advanced analytics, predictive modelling, and the strategic implementation of Generative AI/LLM technologies. 

What we offer in this role  

• A full-time, high-impact position within our dynamic Commercial team. 
• A team of exceptional colleagues, committed to continuous learning and pushing the boundaries of what’s possible. 
• A career that challenges you to solve complex problems and rewards your drive for continuous innovation. 
• A unique opportunity to work on impactful projects, making independent decisions that drive real-world outcomes. 
• The chance to take full ownership of new projects, making high-impact decisions in a dynamic environment. 
• Equity participation, ensuring long-term alignment 

Key Responsibilities:  

• Analyse large, complex datasets to generate actionable insights that inform trading and commercial decisions. 
• Develop, deploy, and maintain predictive models to support market forecasting and trading strategy optimisation (e.g., time-series models, regression, tree-based methods). 
• Architect and implement production-ready AI/LLM solutions, such as Retrieval-Augmented Generation (RAG) pipelines or task-specific agents, integrated programmatically into analytical workflows (e.g., via APIs, LangChain, LlamaIndex). 
• Build, automate, and own end-to-end data workflows covering data ingestion, cleaning, feature generation, and model training, leveraging tools such as Python, SQL, Airflow, pandas, and workflow orchestration platforms (e.g., n8n or similar). 
• Apply advanced data science techniques, including synthetic data generation where appropriate, to improve model robustness, scalability, and operational efficiency. 
• Collaborate closely with traders and cross-functional stakeholders to translate business problems into high-quality, data-driven solutions. 
• Communicate insights and model outputs clearly and concisely, ensuring analytical work drives measurable trading and commercial impact. 

Requirements:  

• 2-3 years of experience in data science or a related field, with a demonstrated record of achieving exceptional results. 
• Strong academic background in computer science, mathematics, statistics, or a related field  
• Outstanding problem-solving and critical thinking skills, capable of addressing complex, high-impact challenges. 
• Expertise in Python programming, with an ability to apply it to advanced data science problems. 
• Applied AI Proficiency: Demonstrated practical experience programmatically integrating LLMs (via APIs or frameworks like LangChain/LlamaIndex) into data pipelines or analytical applications. 
• Automation Focus: Proven ability to design and implement automated, end-to-end data workflows that leverage AI for efficiency gains. 
• Knowledge of machine learning algorithms and data visualization tools  
• Exceptional communication and collaboration skills, with a demonstrated ability to excel in fast-paced, cross-functional environments 

This is an outstanding opportunity for a driven and talented Data Scientist to join an innovative trading company and make a significant impact on our business operations. If you possess a passion for data science and a proven track record of success, we encourage you to apply.  

Note: Experience in the power trading domain is highly desirable but not essential. We value exceptional talent and the ability to learn quickly. 

How You'll Make an Impact: 

As an Onboarding Coach, we’re looking for someone who truly understands hospitality and can step into our clients’ shoes to demonstrate how our system makes their lives easier. You’ll care for our clients and their properties just as you would for a guest in a hotel—always going the extra mile. In this role, you’ll train clients on the system, tailoring it to fit their needs as a hospitality business. By asking the right questions, you’ll get to know your clients and ensure that, by the end of the onboarding process, they have a complete understanding of and confidence in using the system.

Our Customer Onboarding Team: 

As part of our Customer Onboarding Team, you’ll play a vital role in bringing our motto *“more reservations, happier guests” to life. Our team is close-knit and collaborative, living this motto every day by working closely together to provide exceptional support and ensure a seamless onboarding experience for our customers.

If you’re ready to make a difference and be part of an exciting journey, we’d love to have you on board!

What You Bring to the Team: 

• Facilitate client onboarding, training, and ongoing support onsite in the property or remotely.
• Resolve customer inquiries and troubleshoot escalated issues across multiple channels.
• Partner with Sales to define success, demonstrate ROI, and drive retention.
• Build strong client relationships to encourage loyalty and promote product adoption.
• Develop a deep understanding of Cloudbeds’ products and customer needs.
• Contribute to training materials and stay updated on system changes.
• Record activities in Salesforce, gather feedback, and share insights for product improvements.

What Sets You Up for Success: 

• Communicate product offerings clearly and synthesize feedback for internal teams.
• Share customer insights and opportunities across departments to drive alignment.
• Manage multiple projects or accounts with strong organizational and proactive skills.
• Empower clients to become self-sufficient during onboarding and beyond.
• Deliver exceptional communication with empathy and a customer-focused approach.
• Bring over 3 years of 5-star hospitality experience in roles like Front Desk or Revenue Manager within a leading hotel brand, or possess at least 3 years of relevant SaaS industry experience in customer-facing role.

Recommended Skills to Stand Out: 

• Project Management certification.
• Knowledge of Onsite Onboarding.

NOTE: PLEASE SUBMIT YOUR CV/RESUME IN ENGLISH

The Opportunity 

Are you passionate about driving operational excellence and process transformation? Do you thrive in a fast-paced, data-driven environment? Agoda’s Finance Operations Excellence is seeking an Assistant Manager/Senior Specialist to help us reimagine and optimize our finance processes. You will play a key role in identifying improvement opportunities, implementing best-in-class solutions, and supporting our journey towards building a world-class finance operations center. 

Key Responsibilities 

• Process Improvement & Transformation: 
  Analyze, design, and implement process improvements across finance operations (AP, AR, GL, payments, reconciliations, etc.) to drive efficiency, accuracy, and business value. Be comfortable in executing VSMs and Kaizens independently. Be conversant with the latest trends in process improvement leveraging AI/ML and GenAI 

• Data Analysis & Insights: 
  Leverage data analytics to identify trends, root causes (using lean methods), and improvement opportunities. Develop dashboards and reports to monitor KPIs and process health. 

• Project Management & Stakeholder Engagement: 
  Support and/or lead cross-functional projects with finance, product, tech and business teams independently, ensuring timely delivery of milestones and effective stakeholder communication. 

• Automation & Technology Enablement: 
  Create macro-based solutions and/or collaborate with technology teams to automate manual processes using RPA, workflow tools, and other digital solutions. 

• Documentation & Training: 
  Develop and maintain process documentation, SOPs, and training materials to ensure knowledge transfer and compliance. Be conversant with BPMN standards & tools of process documentation 

• Quality & Controls: 
  Identify and support the implementation of internal controls and quality assurance measures to mitigate risks and ensure compliance.

What You’ll Need to Succeed 

Technical & Functional Skills 

• Experience with process mapping, process reengineering, and Lean/Six Sigma methodologies  

• Solid understanding of finance operations processes (OTC, PTP and RTR). Experience as a User of these processes is a plus.   

• Strong analytical skills; ability to work with large datasets, perform detailed root cause analysis, and generate actionable insights and improvement plans. 

• Skilled at creating Excel macros to automate processes is preferred 

• Proficiency in Excel and data visualization tools (e.g., Power BI, Tableau). 

• Familiarity with finance systems (ERP, SAP, Oracle, etc.) and automation tools (RPA, Alteryx, UiPath, etc.) is highly desirable. 

Behavioral Attributes 

• Strong problem-solving mindset with a continuous improvement orientation. 

• Excellent communication, articulation and interpersonal skills; able to influence and collaborate with stakeholders at all levels. 

• High attention to detail and commitment to quality. 

• Self-starter with the ability to manage multiple priorities in a fast-paced environment. 

• Adaptable, resilient, and comfortable with ambiguity and change. 

Qualifications 

• Bachelor’s/Master’s degree in Finance, Accounting, Business, Engineering, or a related field. 

• 5+ years of relevant experience in driving improvements in finance operations 

• Experience in a tech or e-commerce environment is an advantage. 

• Professional certifications (CA, PMP, CPA, etc.) are a plus.  

#LI-NS2 

#Taipei #Hongkong #Singapore #Kualalumpur #Shanghai #Beijing #Tokyo #Seoul #Hanoi #Bangkok #Phuket #Pakistan #Bangladesh #Manila #HoChiMinh #Nigeria #SriLanka #Jakarta #Prague #Berlin #Madrid #Sofia #Budapest #Lisbon #Rome #Columbia #Atlanta #GreaterSaoPaulo #India #Mumbai #Bangalore #Kaizen #LeanSixSigma #Lean#CPA#Accounting #Finance#FinanceOperation #FinanceOptimization #Processimprovement #Financeandaccounting #PTP #RTR #GL #Generalledger #AR #AP #LeanPractitioner #OEP #CBPP #OperationalExcellenceProfessionalCertification #CertifiedBusinessProcessProfessional #LeanPractitioner 

THIS ROLE IS BASED IN BANGKOK, THAILAND (RELOCATION PROVIDED)

Get to Know our Team: 

The Supply Analytics team delivers data-driven insights and decision support to optimize Agoda’s supply ecosystem. We analyze partner and marketplace dynamics, build forecasts and models, run experiments, and create scalable dashboards and data products that power strategic direction and operational execution. We bring value through rigorous analyses and pragmatic, measurable recommendations that help Supply, Product and other teams prioritize work and drive impact. Our work improves inventory quality, partner economics, and the long-term health and growth of Agoda.

The Opportunity:

We are seeking a Manager/Senior Manager to lead strategic and operational initiatives that create both growth and efficiency for the Supply department. In this role, you will work directly with multiple stakeholders, including executive leadership and various cross-functional departments to successfully implement key initiatives. You will impact Agoda's business through exploring new business opportunities, analyzing complex scaling challenges, and improve existing operations.

In this Role, you’ll get to: 

• General: This role is a blend of hands on ‘in the business’ and executive level ‘on the business’ work. To succeed you will enjoy rolling up your sleeves, leading a team and contributing to strategy.
• Project Delivery: Manage, standardize & validate the structure of business cases for product development, headcount, engineering resources, budgets, general strategic & roadmap prioritization.
• Experimentation: Define success, measure / validate experiments and help ingrain an experimental mindset within the teams.
• Forecasting and Insights: Provide a macro-led business intelligence view to the organization to prevent missed opportunities, surmount obstacles at all organizational levels and drive commercial behaviors.
• Analytics & Alerts: Quantitative analysis, data mining and presentation of business metrics; identify drivers and build an end-to-end communication framework based on business value, effort and urgency.
• Process Improvement: Work with all teams to drive inter- and intra- departmental efficiencies, optimize processes and prioritize system enhancements.
• Reporting: Build dashboards, internal / external reports and present key datasets to enable all team members to efficiently and effectively monitor performance and prioritize their efforts.
• Leadership: Lead a small team of experts to deliver the above functions and be excited by the challenge of mentoring team members across the chain and connectivity teams.

 What you’ll Need to Succeed:

• 5+ years of leadership experience in analytics/data science/insights/strategy
• 2+ years’ experience leading analytics, operational, product or other technical teams
• Expert domain of data analysis and data visualization tools and software such as Excel, SQL, Tableau, Python, R, or similar
• Strong statistical modelling and machine learning knowledge
• Strong experience in finding data insights and provide business recommendation to the business
• Excellent communicator with superior written, verbal, presentation and interpersonal communication skills.
• Ability to multi-task, prioritize and coordinate resources.
• Strong program/project management experience.
• Bachelor’s degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance)
• Experience in articulating strategic issues and negotiating with C-level executives – experience in leading strategy consulting projects a plus
• People management – track record of developing stars
• Ability and willingness to drive projects independently, working efficiently to deliver results rapidly and engaging the relevant stakeholders throughout the process

It’s Great if you Have:

• Master’s degree in statistics, economics, mathematics or similar discipline
• Experience in conducting A/B testing experimentation
• Travel industry / e-commerce / tech / consulting experience

How You'll Make an Impact: 

As Sales Director, you will play a pivotal role in Cloudbeds' growth, leveraging your extensive network and deep understanding of the mid-market hotel landscape to drive high-value ARR and expand our brand. Your expertise in hospitality technology will be essential as you build relationships, forge partnerships, and position Cloudbeds as the go-to solution for independent hotels. This is a hunter role focusing on acquiring new clients. 

What You Bring to the Team:

• Build and execute a sales strategy targeting independent hotels and groups, identifying opportunities to drive revenue and expand Cloudbeds' presence.
• Deliver on your sales forecasts to ensure that we hit our ambitious goals
• Conduct exceptional virtual client presentations that clearly articulate Cloudbeds’ value proposition 
• Represent Cloudbeds at major industry events, serving as a brand ambassador and building connections with potential clients and influencers.
• Provide valuable feedback from the field to sales leadership, product and marketing teams.
• Cultivate strong post-sale relationships (NOT Account Management, that’s another team) that lead to happy clients and fuel valuable referrals.

What Sets You Up for Success: 

• 5+ years of experience as a top-performing sales professional, using a highly consultative approach.
• A deep understanding of the mid-market hotel ecosystem with a proven track record of successfully selling to independent hotels, groups and driving ARR growth
• Expertise in hospitality technology, with a passion for helping hotels thrive through innovative solutions.
• Strong business acumen, exceptional negotiation skills, and a consultative sales approach.
• Proven success in building pipelines independently, without BDR/SDR support
• Expertise in Salesforce CRM and experience with long-term pipeline management
• Exceptional communication and listening skills
• Alignment with Cloudbeds’ core values

Bonus Skills to Stand Out:

• Good knowledge of PMS technology
• Multilingual capabilities
• Experience in the hospitality or lodging industry.

How You'll Make an Impact: 

As Sales Director, you will play a pivotal role in Cloudbeds' growth, leveraging your extensive network and deep understanding of the mid-market hotel landscape to drive high-value ARR and expand our brand. Your expertise in hospitality technology will be essential as you build relationships, forge partnerships, and position Cloudbeds as the go-to solution for independent hotels. This is a hunter role focusing on acquiring new clients. 

What You Bring to the Team:

• Build and execute a sales strategy targeting independent hotels and groups, identifying opportunities to drive revenue and expand Cloudbeds' presence.
• Deliver on your sales forecasts to ensure that we hit our ambitious goals
• Conduct exceptional virtual client presentations that clearly articulate Cloudbeds’ value proposition 
• Represent Cloudbeds at major industry events, serving as a brand ambassador and building connections with potential clients and influencers.
• Provide valuable feedback from the field to sales leadership, product and marketing teams.
• Cultivate strong post-sale relationships (NOT Account Management, that’s another team) that lead to happy clients and fuel valuable referrals.

What Sets You Up for Success: 

• 5+ years of experience as a top-performing sales professional, using a highly consultative approach.
• A deep understanding of the mid-market hotel ecosystem with a proven track record of successfully selling to independent hotels, groups and driving ARR growth
• Expertise in hospitality technology, with a passion for helping hotels thrive through innovative solutions.
• Strong business acumen, exceptional negotiation skills, and a consultative sales approach.
• Proven success in building pipelines independently, without BDR/SDR support
• Expertise in Salesforce CRM and experience with long-term pipeline management
• Exceptional communication and listening skills
• Alignment with Cloudbeds’ core values

Bonus Skills to Stand Out:

• Good knowledge of PMS technology
• Multilingual capabilities
• Experience in the hospitality or lodging industry.