Other Requirements:

• Visionaries and Builders

• Hard Workers

• Data-Driven Innovators

• System-Level Thinkers

• Relentless Problem Solvers

Responsibilities:

• Solve complex problems at scale

• Create infrastructure for an entirely new economy

• Assign real-time value to information

• Turn massive data sets into actionable insights

• Reshape how the world works

Other Requirements:

• Visionaries and Builders

• Hard Workers

• Data-Driven Innovators

• System-Level Thinkers

• Relentless Problem Solvers

Responsibilities:

• Solve complex problems at scale

• Create infrastructure for an entirely new economy

• Assign real-time value to information

• Turn massive data sets into actionable insights

• Reshape how the world works

Other Requirements:

• Visionaries and Builders

• Hard Workers

• Data-Driven Innovators

• System-Level Thinkers

• Relentless Problem Solvers

Responsibilities:

• Solve complex problems at scale

• Create infrastructure for an entirely new economy

• Assign real-time value to information

• Turn massive data sets into actionable insights

• Reshape how the world works

Education Requirements:

• BS/MS/PhD in Electrical Engineering, Computer Engineering, or equivalent area

Experience Requirements:

• 8 years or more of relevant experience in system design or ASIC/SoC architecture

Other Requirements:

• Deep understanding of communication interconnect protocols (NVLink, Ethernet, InfiniBand)

• Experience with RDMA/RoCE or InfiniBand transport offload architectures

• Background in system design for AI and HPC

Responsibilities:

• Architect multi-GPU system topologies for scale-up and scale-out configurations

• Define and evaluate future architectures for high-speed interconnects

• Collaborate to architect RDMA-capable hardware and transport layer optimizations

• Use and modify system models to guide design trade-offs

• Work with ASIC and software teams to enable hardware-software co-design

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

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

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

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 degree in mechanical engineering/industrial engineering

Education Requirements:

• Bachelors/Masters degree

Benefits:

• Fun Environment

• Team Offsite

• Great Perks

• Coffee Discussion

Education Requirements:

• Graduate / MBA

Experience Requirements:

• 4 to 8 years

Other Requirements:

• Industry: Telecom

• Preferred Industry: Open

Benefits:

• Fun Environment

• Team Offsite

• Great Perks

• Coffee Discussion

Education Requirements:

• Graduate / MBA

Experience Requirements:

• 4 to 8 years

Other Requirements:

• Industry: Telecom

• Preferred Industry: Open

Education Requirements:

• Bachelor’s or Master’s degree in a quantitative field

Experience Requirements:

• 10+ years in product analytics

• 4+ years of direct people management

• Advanced proficiency in SQL, R, or Python

• Expertise in Tableau, Power BI, or similar tools

• Knowledge of advanced statistical modeling

Responsibilities:

• Lead product analytics charter for a dedicated vertical

• Forecast potential costs and revenues for leadership

• Manage and mentor a team of analysts

• Translate complex datasets into executive narratives

• Filter and structure large datasets into data models

Experience Requirements:

• 3-8 years of SaaS sales experience

• 2 years selling into ANZ/ASEAN market

• Command of cold calling and discovery

• Familiarity with BANT and MEDDPICC frameworks

• Familiarity with Sales Navigator and Salesforce

Other Requirements:

• Aligned to ANZ hours (4:00 AM – 1:00 PM IST)

Responsibilities:

• Own and grow assigned territory across ANZ

• Drive 100% outbound-led growth

• Run the entire sales cycle from discovery to close

• Collaborate with solution engineers for demos

• Maintain accurate CRM hygiene in Salesforce

Experience Requirements:

• 4-7 years of work experience

• Experience in cold calling

• Understanding the Sales metrics and numbers

• Ability to do PowerPoint presentations

Other Requirements:

• Willingness to work in-office 5 days a week

Responsibilities:

• Generate qualified opportunities through prospecting

• Research assigned accounts to build pipeline

• Initiate conversations with high-profile personas

• Pitch Freshworks products to prospects

• Create creative emails and campaigns

Experience Requirements:

• At least 2 year of relevant work experience

• Solid background in algorithms, data structures, system design

• Experience in building scalable and fault-tolerant distributed systems

• Knowledge of distributed model training and inference (preferred)

• Knowledge of GPU programming (preferred)

Responsibilities:

• Develop high quality open source software (Ray)

• Identify, implement, and evaluate architectural improvements

• Improve the testing process for Ray

• Communicate your work to a broader audience

Experience Requirements:

• 2+ years of experience in a customer-facing technical role

• Experience as a machine learning engineer

• Experience in training, fine-tuning and inference/serving of LLMs

• Knowledge in one or more of the major cloud platforms

• Experience with Ray (Bonus)

Other Requirements:

• Must be available to our EMEA customers within their respective time zones

• Strong organizational skills

• Excellent communication and interpersonal skills

Responsibilities:

• Resolve customer issues and help in their successful adoption

• Be a technical advisor and internal champion for key customers

• Own customer issues end-to-end

• Participate in our follow-the-sun customer support model

• Contribute towards improvement of internal tools and documentation

Benefits:

• Competitive salary

• Employee stock options

• 401K matching

• Competitive benefits

Responsibilities:

• Build the next generation of artificial intelligence tools from scratch

Benefits:

• Career accelerator

• Personal growth

Experience Requirements:

• 2+ years of fullstack engineering experience in React, Node.js, or similar

Other Requirements:

• Strong Computer Science foundations (memory, parallelization, runtime)

• Demonstrated AI fluency (Cursor, Devin, Claude Code)

• Publicly viewable side projects on GitHub

• Good English communication skills

• Comfortable working across frontend, backend, and LLMs/AI

Responsibilities:

• Ship new features in a fast and stable manner

• Improve existing product to be stable and high quality

• Fix inefficient code, especially around data fetching and API performance

• Architect and implement AI/LLM-based features for our platform

• Champion AI-assisted workflows across design, PRDs, and engineering