AI Jobs

Benefits:

• Market competitive salary

• Comprehensive medical insurance

• Dedicated funding for skill development

• Hybrid-first approach

• Quarterly recognition programme

Education Requirements:

• Pursuing or completing a Bachelor's degree (BBA, MBA, or equivalent) in Business, Finance, or related field

Experience Requirements:

• 1–2 years of work or internship experience in finance, technology, or software solutions preferred

Other Requirements:

• Proficiency in English and Chinese (bilingual preferred)

• Proficiency in PowerPoint, Excel, and Word

• Experience with CRM systems (e.g., Salesforce, HubSpot)

Responsibilities:

• Assist in managing client data across AM and CS Portals

• Prepare and update weekly CS meeting plans and reports

• Collaborate with Customer Experience and Client Success teams

• Assist in preparing client proposals and RFI/RFP responses

• Draft SOWs and contracts using base templates

Benefits:

• Market competitive salary

• Comprehensive medical insurance

• Dedicated funding for skill development

• Hybrid-first approach

• Quarterly recognition programme

Education Requirements:

• Bachelor’s degree in Finance, Business, Compliance, or related field

Experience Requirements:

• 5+ years in AML compliance, fraud risk management, or investigations

Other Requirements:

• Professional certifications such as CAMS, CFCS, CFE, CISA preferred

• Strong understanding of AML typologies and fraud vectors

• Comfortable working in Agile environments

Responsibilities:

• Monitor evolving AML and fraud regulatory trends

• Define functional requirements for detection logic

• Collaborate with Sales to deliver client-specific demos

• Configure and calibrate AML and fraud modules

• Build internal expertise through training content

Benefits:

• Market competitive salary

• Comprehensive medical insurance

• Dedicated funding for skill development

• Hybrid-first approach

• Quarterly recognition programme

Experience Requirements:

• 5–8 years of experience in content writing or storytelling roles

Other Requirements:

• Proven ability to write for regulated domains

• Familiarity with tools like Google Workspace, Notion, Canva, Figma

• Precision writing skills

Responsibilities:

• Write product explainer content and brochures

• Translate AI and compliance features into storytelling

• Create content across the product lifecycle (scripts, case studies)

• Align content with banks, regulators, and analysts

• Partner with cross-functional teams for consistent messaging

Benefits:

• Market competitive salary

• Comprehensive medical insurance

• Dedicated funding for skill development

• Hybrid-first approach

• Quarterly recognition programme

Education Requirements:

• Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field

Experience Requirements:

• Prior experience in AI/ML, data science, or a related technical role

Other Requirements:

• Experience with Python, SQL, and AI/ML frameworks

• Familiarity with major cloud platforms (AWS, Azure, GCP)

• Preferred: Mandarin competency

Responsibilities:

• Gain an in-depth understanding of AI-driven financial crime solutions

• Perform deep-dive analysis into client issues

• Provide recommendations on AI model tuning and data quality

• Assist in troubleshooting AI/ML-related issues post-deployment

• Communicate complex AI concepts to stakeholders

Benefits:

• Market competitive salary

• Comprehensive medical insurance

• Dedicated funding for skill development

• Hybrid-first approach

• Quarterly recognition programme

Experience Requirements:

• 2 to 4 years of experience in technical support or a related field

Other Requirements:

• Experience using support ticketing systems like Freshworks

• Familiarity with AWS infrastructure and Big Data technologies

• Fluent in Mandarin (spoken and written)

Responsibilities:

• Handle and triage tickets related to incidents and requests

• Provide technical support for CaaS and on-premise clients

• Collaborate with Product Engineering and Infrastructure teams

• Diagnose problems and identify root causes

• Maintain thorough documentation of all support tickets

Benefits:

• Market competitive salary

• Professional development training

• Comprehensive health insurance

• Flexible working options

Education Requirements:

• Bachelor’s degree in Computer Science, Data Science, or a related technical field

Experience Requirements:

• Minimum 3-5 years of experience in data engineering

Other Requirements:

• Experience with Apache Kafka, NiFi, Hadoop, Spark, Hive

• Hands-on experience with AWS (preferred) or GCP

• Strong knowledge of Python or Pyspark or Java

Responsibilities:

• Configure data pipelines for initial and delta loads

• Maintain data ingestion workflows (real-time and batch)

• Validate incoming data for accuracy and integrity

• Optimize data flows to reduce latency

• Document data integration processes and troubleshooting

Benefits:

• Market competitive salary

• Comprehensive medical insurance

• Dedicated funding for skill development

• Hybrid-first approach

• Quarterly recognition programme

Education Requirements:

• Bachelor’s or Master’s degree in Business, Engineering, Computer Science, or a related field

Experience Requirements:

• Minimum 3 years of experience as a Product Manager

Other Requirements:

• Fluency in Mandarin and English

• Familiarity with Agile methodologies and Scrum processes

• Understanding of AML, fraud detection, or AI/ML-driven products

Responsibilities:

• Own end-to-end product outcomes

• Drive discovery, definition, prioritization, and delivery

• Translate regulatory and market signals into product bets

• Engage credibly with banks, regulators, and engineering

• Shaping AI/ML-powered products

Benefits:

• Annual cash bonus plan

• Equity

• Sign-on payments

• Health, welfare, and wellbeing benefits

Experience Requirements:

• More than 8 years sales experience

• 5+ years in SaaS or Martech sales (new logo acquisition)

• Experience in large complex Mid Enterprise and Enterprise Deals

• Proven strategic pipeline management experience

• Track record of using data to inform decision making

Other Requirements:

• Fluent in English

• Additional APAC language proficiency (e.g., Mandarin, Bahasa, Cantonese, Japanese)

• Eligible to work in Singapore without restrictions

• Proficiency with tools such as Salesforce, Outreach, and Gong

Responsibilities:

• Seek and qualify new opportunities across Mid-Market

• Actively manage pipeline and strategy

• Collaborate with cross functional members in product and engineering

• Provide guidance and support to new Account Executives

• Transform workflows by putting AI at the center

Benefits:

• Competitive salary and benefits

• Opportunity to work in a global organization

• Supportive and inclusive working environment

Experience Requirements:

• Proven experience in an Office Manager, HR Administrator, or similar role

• Familiarity with Singapore employment administration

Other Requirements:

• Fluency in English and Mandarin

• Eligibility to work in Singapore without employer sponsorship

• Ability to access and use Singpass

• Proficiency in Microsoft Office, Google Workspace, or Jira

Responsibilities:

• Oversee day-to-day office operations and supplier coordination

• Provide administrative and operational HR support

• Support a safe and compliant office environment

• Coordinate internal meetings and employee events

• Support office budget administration and expense tracking

Education Requirements:

• Bachelor’s degree or equivalent practical experience

• Master's degree or PhD in Computer Science

Experience Requirements:

• 2 years of experience with software development

• 2 years of experience with data structures or algorithms

Other Requirements:

• Experience developing accessible technologies

• English proficiency

Responsibilities:

• Write product or system development code

• Participate in, or lead design reviews with peers and stakeholders

• Review code developed by other developers and provide feedback

• Contribute to existing documentation or educational content

• Triage product or system issues and debug/track/resolve

Education Requirements:

• Bachelors/Masters degree

Education Requirements:

• Bachelors degree in mechanical engineering/industrial engineering

Education Requirements:

• MSc in a quantitative field (Computer Science, Statistics, Software/Information System Engineering or similar), specializing in Machine Learning

Experience Requirements:

• 2+ years of working experience as a data scientist

• Hands-on experience with Python development

• Strong knowledge with SQL/NoSQL databases

• Experience in deploying ML algorithms to production environments

Other Requirements:

• Deep understanding of machine learning models and statistical inference

• Great communication and interpersonal skills

• Experience with Recommender System, Reinforcement learning or AutoML will be an advantage

• Experience with one or more deep learning framework will be an advantage

Responsibilities:

• Lead end-to-end ML projects (exploration to deployment)

• Take part in developing new cutting-edge algorithms based on various ML techniques

• Improve ML pipeline

• Work in a short life-cycle research and development environment

• Work closely with Product, Customer Success, BI, Dev and DevOps teams

Benefits:

• Ownership of mission-critical enterprise CX transformation programs

• Direct exposure to global customers and AI implementations

• Leadership visibility

• Fast-growing SaaS environment

Education Requirements:

• PMP, Scrum Master, or equivalent certification is an advantage

Experience Requirements:

• 8+ years of experience in technical project management

• At least 3 years in a senior or team-handling role

Other Requirements:

• Experience delivering SaaS or AI-led enterprise solutions

• Strong in planning tools like Jira, Asana, or MS Project

• Confidence engaging with senior client stakeholders

Responsibilities:

• Take complete ownership of complex technical project delivery

• Act as primary customer-facing leader for project discussions

• Lead and mentor project managers

• Run daily scrums and track progress across tools

• Drive weekly and monthly business reviews with stakeholders

Benefits:

• Hands-on training and mentorship

• Exposure to live client projects and enterprise systems

• Strong foundation in AI operations and project delivery

Education Requirements:

• Graduate degree in Business, Technology or Engineering

Other Requirements:

• Good communication and interpersonal skills

• Eager to learn in a fast-paced environment

• Basic knowledge of project management concepts

Responsibilities:

• Understand client requirements and business objectives

• Assist in preparing documentation such as BRDs and PRDs

• Support project execution activities under guidance

• Participate in client meetings, demos and training sessions

• Coordinate with internal teams for timely delivery

Benefits:

• Ownership of AI-first products

• Work at intersection of CRM and conversational AI innovation

• Collaboration with global enterprise clients

• Exposure to cutting-edge AI tooling

Education Requirements:

• PMP, CSPO, or equivalent product/project credentials is an advantage

Experience Requirements:

• 2–5 years of experience in product management, project management, or business analysis

Other Requirements:

• Hands-on exposure to conversational AI platforms

• Understanding of CRM systems and integration workflows

• Experience with WhatsApp Business API is an advantage

Responsibilities:

• Drive end-to-end project delivery from discovery to go-live

• Collaborate with engineering and AI teams on solutions

• Lead CRM integration use cases and workflows

• Analyze bot performance metrics for optimization

• Manage Agile delivery cycles and sprint planning

Benefits:

• Hands-on training and mentorship

• Exposure to live client projects

• Strong foundation in AI operations

Education Requirements:

• ISO 27001 LA/LI or other recognized security/compliance creds is an advantage

Experience Requirements:

• 0.5–2 years of experience in InfoSec, GRC, or compliance

Other Requirements:

• Solid grasp of key security frameworks

• Understanding of cloud/SaaS environments

• Clear communication and documentation skills

Responsibilities:

• Support daily InfoSec operations and security control checks

• Manage documentation for ISO 27001, SOC 2, and GDPR

• Respond to customer security & compliance questionnaires

• Perform access reviews and user onboarding/offboarding checks

• Work with CISO on improving security processes

Education Requirements:

• Bachelor’s degree in Finance, Accounting, Economics, or a related field

Experience Requirements:

• 1–3 years of experience in FP&A, corporate finance, investment banking, or consulting

Other Requirements:

• Strong Excel/Google Sheets skills

• Familiarity with ERP/BI tools (SAP, Oracle, etc.) is a plus

• Good understanding of basic accounting and financial statements

• Strong analytical and problem-solving skills

Responsibilities:

• Assist in preparing annual budgets and quarterly forecasts

• Perform variance analysis for deviation explanations

• Build and maintain basic financial models

• Track and report on key performance indicators (KPIs)

• Partner with Accounting during month-end close

Experience Requirements:

• Minimum 2 years of experience in Business development

Other Requirements:

• Excellent Spoken English Skills

• Admirable written & interpersonal skills

• Experience in software companies preferred

Responsibilities:

• Identify and contact decision-makers

• Coordinate & book appointments for the sales team

• Write sales emails

• Identify trends & customer needs for pipeline building

• Initiate cold calls to potential customer database

Benefits:

• Opportunity to lead growth for a fast-scaling AI platform

• High ownership role

• Collaboration with senior leadership and cross-functional global teams

• Strong career growth opportunities

• Competitive compensation and performance-linked rewards

Experience Requirements:

• 8+ years of experience in enterprise SaaS growth, customer success, or strategic account management

Other Requirements:

• Experience managing enterprise stakeholders and complex global accounts

• Demonstrated success in driving renewals, expansion, and customer adoption

• Data-driven and comfortable using metrics

• Effective communication at executive levels

• Prior experience in AI-driven SaaS or CX platforms is an advantage

Responsibilities:

• Own and grow strategic enterprise accounts

• Build and execute growth strategies (upsell/cross-sell)

• Lead executive stakeholder engagement and business reviews

• Collaborate with Product, Sales, and Delivery teams

• Mentor and guide growth-focused teams