Data Analytics Partner in Singapore

MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications. We are looking for an experienced and driven leader, with great energy, passion and initiative to manage a highly motivated Pre-Sales Solutions Architecture team. MongoDB Pre-Sales Solution Architects partner with the rest of the go to market team to help our customers craft and build solutions to address their business needs. Our team is made up of top-tier software architects, entrepreneurs, and developers who take direct responsibility for customer success. As an integral component of the sales team, they help shoulder the responsibility of generating revenue, by strategically interfacing with the customer and becoming the trusted advisor. As a leader in Pre-Sales Solutions Architecture, you will cultivate a stellar team. You will partner closely with our sales counterparts to define, improve and execute our sales initiatives in the enterprise market. You will be integral to driving the business forward, by developing both our pre-sales and sales practices and by bringing the voice of experience. This role is based out of our Singapore office, covering the ASEAN region. Candidate Profile 4+ years of pre-sales experienc

About BlockTech BlockTech is a fast-paced algorithmic trading firm at the frontier of global cryptocurrency derivatives and spot markets. We trade 24/7 across some of the most data-rich, fast-moving venues in finance, and we use that data to build smarter models, sharper signals, and more adaptive systems. Crypto is one of the few markets where a researcher can still meaningfully move the edge. The data is abundant, the microstructure is novel, and the feedback loop between a research idea and live PnL couldn’t be shorter. We’re growing fast, and we’re looking for a Quantitative Researcher with a strong machine learning toolkit to help us push that edge further. The role As a Quantitative Researcher on our trading floor, you’ll own ideas end-to-end from hypothesis and dataset construction through feature engineering, model training and backtesting, all the way to live deployment, monitoring, and iterative improvement. You’ll sit shoulder-to-shoulder with Quantitative Traders and Quantitative Analysts, and your work will directly drive how we price and trade. What you’ll work on Collaborating closely with traders to translate research insights into systematic trading strategies Designing, developing and deploying models for price prediction, signal generation, execution, and anomaly detection across crypto derivatives and spot markets using state-of-the-art AI and ML techniques. Building robust trading, backtesting and research infrastructure alongside our engineers, so promising ideas can move into production quickly and safely Owning models in production: monitoring live performance, diagnosing decay, and iterating on what you ship What we’re looking for A strong academic background in a quantitative discipline (Mathematics, Physics, Statistics, Computer Science, Econometrics, ML/AI, or similar), typically a PhD or an MSc with strong research experience Fluency in Python and the modern ML stack (PyTorch and/or TensorFlow, scikit-learn, NumPy, pandas) A deep, intuit

About BlockTech BlockTech is an algorithmic trading firm operating at the frontier of global crypto derivatives and spot markets. We trade 24/7 across some of the fastest-moving, most data-rich venues in finance. Crypto remains one of the few markets where a researcher can still meaningfully move the edge: abundant data, novel microstructure, and the shortest possible loop between a research idea and live PnL. We're looking for an experienced Quantitative Researcher to take ownership of that edge and push it further. The role This is a senior, hands-on research seat on our trading floor. You'll own a research agenda end-to-end from hypothesis, dataset construction, feature engineering, model training, backtesting, live deployment, monitoring, and iteration. You'll be trusted to set its direction. You'll work shoulder-to-shoulder with fellow researchers, traders and analysts, shape how we price and trade, and help raise the bar for research across the floor, including mentoring less experienced researchers and influencing the tools and standards the team relies on. What you'll do Own price-prediction, signal, execution, and anomaly-detection models across crypto derivatives and spot markets from idea to live PnL using state-of-the-art ML Shape our research, backtesting, and trading infrastructure together with engineers, so good ideas reach production quickly and safely Own models in production: monitor live performance, diagnose decay, and iterate on what you ship Set research direction alongside traders, deciding which trades are worth making and why Raise the research bar by mentoring colleagues, reviewing work, and setting standards for rigour What we're looking for 4+ years of hands-on quantitative research and/or applied ML experience, with a track record of models you've taken into production trading live A strong academic foundation in a quantitative discipline (mathematics, physics, statistics, computer science, ML/AI, or similar) Fluency in Python and the m

About the Team OpenAI's Industrial Compute organization is building the world's most advanced AI infrastructure ecosystem. We work closely with hardware design teams, manufacturing partners, suppliers, and data center operations to deliver the compute platforms that power frontier AI. The Manufacturing Engineering team ensures our hardware can be built, tested, deployed, and supported at hyperscale. We bridge Hardware Engineering, Quality, Supply Chain, Contract Manufacturers, and Hardware Operations to continuously improve manufacturing performance throughout the product lifecycle. As our fleet grows globally, sustaining manufacturing engineering becomes increasingly important to maintain product quality, improve manufacturability, and rapidly resolve production issues. About the Role We are seeking a PCBA Manufacturing Engineer (Sustaining) to support production and continuous improvement of printed circuit board assemblies (PCBAs) used throughout Industrial Compute hardware platforms. This role focuses on sustaining engineering after product launch. You'll partner closely with Hardware Design, Quality, Manufacturing, Test Engineering, Supply Chain, and our contract manufacturers to resolve production issues, improve manufacturing yield, reduce failures, implement engineering changes, and ensure stable high-volume manufacturing. The ideal candidate has experience supporting complex server, networking, accelerator, storage, or high-performance electronics manufacturing environments. Key Responsibilities Own sustaining manufacturing engineering for PCBA production across multiple hardware platforms. Drive root cause investigations for manufacturing defects, field failures, and production escapes. Partner with Hardware Design Engineers to improve manufacturability (DFM/DFA/DFT). Support engineering change orders (ECOs) and manufacturing change implementation. Work directly with contract manufacturers to improve production yield, cycle time, and quality. Analyze manuf

NK Securities Research is a leading financial firm that leverages cutting-edge technology and sophisticated algorithms to trade the financial markets. Founded in 2011, we have gained invaluable experience in the field of High-Frequency Trading (HFT) across different asset classes. Key Responsibilities: As a High-Frequency Trading Software Developer, you will: Design, implement, and maintain high-frequency automated trading systems with a focus on reliability, performance, and scalability. Optimize system performance through advanced network and systems programming techniques. Research and develop algorithms to minimize trading system latency. Build tools for risk management, system monitoring, and performance tracking. Drive automation and keep manual processes to a minimum, with a strong commitment to testing and quality assurance. Understand and integrate ad-hoc use-case scenarios into the existing codebase to improve reusability and scalability across different exchanges. Lead the core engineering team in driving innovation and maintaining high engineering standards. Be humble, unafraid, and unapologetic about asking questions, admitting mistakes, and engaging in constructive discussions. Preferred Qualifications: We're seeking candidates with: A degree in Computer Science, Mathematics, or Engineering from a reputed institution. 0-4 years of relevant work experience. Proficiency in C/C++ programming with strong fundamentals in object-oriented programming, data structures, and algorithms. Familiarity with Linux, Python, and shell scripting. Solid problem-solving and communication skills. Understanding of TCP/IP, Ethernet, and parallel programming models. Ideal candidate should have reliable and predictable availability. A track record of independently tackling challenging technical problems, as well as effectively contributing as part of a team. Prior experience in the HFT industry, hedge funds, or banks with a proven track record is a plus. What We Offer: Competi

The Opportunity Jumio is looking for a Senior Customer Success Manager to own a portfolio of enterprise and mid-market accounts across APAC. This is not a relationship management role — it is a value consulting role. You will be expected to understand your customers’ business deeply, make the value Jumio delivers visible and quantifiable, and act as the connective tissue between the value that was promised during the sale and the value the customer actually achieves. You will work closely with Account Managers on renewal and expansion, with Onboarding and Implementation Managers during the critical customer onboarding and adoption stages, and with Product and Support to close the loop on customer feedback. You will be a named owner of customer health — accountable for knowing which accounts are at risk, why, and what you are doing about it. This role is well-suited to someone who is commercially aware, data-fluent, and energized by the complexity of enterprise customer relationships. You will be joining at a moment of intentional transformation — there is significant opportunity to shape how Jumio’s CS motion operates going forward. What You’ll Own Customer Health & Retention Own the health of a portfolio of APAC enterprise and mid-market accounts — you are accountable for knowing which are green, yellow, or red and why Monitor customer health signals continuously: product utilization, support ticket trends, NPS, executive engagement, and contract consumption pace Identify early warning signs of dissatisfaction or disengagement before they surface as churn risk — act on health score drops immediately, don’t wait for the customer to raise the issue Own escalation when product gaps or recurring issues are impacting customer outcomes — and close the feedback loop by communicating back to the customer what Jumio is doing Ensure open support issues are resolved to the customer’s satisfaction and that unresolved issues never reach a renewal conversation Value R

About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Applied AI Engineer you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role is based in Singapore. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees In this role, you will: Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria. Design, build, and de

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Recruiting team builds Stripe’s culture by connecting exceptional talent with our highest-impact business needs. We bring Stripe’s operating principles to life through thoughtful, consistent hiring practices, a high-quality candidate experience, and data-informed partnership with the business. What you’ll do Stripe is looking for a strategic, consultative, independent and creative recruiter to support hiring for our our Risk, Partnerships and Operations functions in the APAC region. You will partner with senior global leaders who shape Stripe’s financial strategy, external narrative, long-term growth, and company-wide decision-making. This is a high-impact portfolio supporting varied talent markets, senior stakeholders, and roles where the quality of each hire can influence how Stripe operates and grows. You will own full-cycle recruiting, advise leaders on hiring strategy and market conditions, and build trusted relationships with candidates and hiring teams. Responsibilities Partner with senior leaders to understand business priorities, define hiring plans, and develop recruiting strategies that support headcount goals. Own the full recruiting lifecycle, from intake and sourcing through offer acceptance and onboarding handoff. Proactively advise and educate hiring teams on APAC talent-market conditions, candidate availability, competitive dynamics, and hiring approaches for specialized and senior roles. Develop and execute sourcing

About the Team OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Ads Solutions team partners closely with advertisers to deeply understand their businesses and needs, helping inform the development of products and solutions that drive meaningful revenue growth and long-term success on the platform—while maintaining strong standards for user trust and platform integrity. About the Role We’re looking for an Ads Solutions Engineer to partner with advertisers and agencies throughout the pre-sales and growth lifecycle, helping them successfully evaluate, launch, and scale on OpenAI’s advertising platform. You will serve as the technical expert in the sales process, translating advertiser objectives into scalable technical solutions across measurement, integrations, data activation, and campaign execution. This role sits at the intersection of sales, product, and engineering. You’ll work closely with Client Partners, Customer Success Managers, Product, Engineering, Policy, and Operations teams to remove technical blockers, accelerate revenue growth, and shape the future of OpenAI’s ads platform. In this role, you will: Partner with Client Partners during the sales cycle to provide technical expertise that unlocks new business and accelerates deal closure. Lead technical discovery with advertisers and agencies to understand data flows, martech stack, measurement requirements, and activation goals. Design and recommend implementation approaches for pixels, APIs, server-to-server integrations, identity solutions, offline conversions, and measurement frameworks. Guide advertisers through onboarding and launch readiness, ensuring successful setup of tracking, attribution, audience signals, and reporting. Troubleshoot technical issues related to implementation, signal quality, delivery, and measurement performance. Build compelling demos, proofs of concept, and technical narratives that demonstrate

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers. MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. We are looking to speak to candidates who are based in Singapore for our hybrid working model and business fluency in English and Thai. As an ideal candidate, you will have Ideally 8 - 11 years of related experience in a customer facing role, minimum 3 years of experience in pre-sales with enterprise software Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity Experience designing with scalable and highly available distributed systems in the cloud and on-prem Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership. Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, a

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Tech Recruiting team is fuelling Stripe’s regional growth by aligning world-class engineering talent with our most critical business challenges. We don’t just hire, we integrate Stripe’s operating principles into every interaction, ensuring a candidate experience that is as seamless as our products. By blending data-driven insights with compelling storytelling, we serve as strategic advisors to our leaders and shape the future of Stripe. What you’ll do To support our long-term objectives in the region, we are seeking a strategic partner to scale our Technology teams across APAC. In this role, you will manage the full recruitment lifecycle while advising leadership on talent strategy and market insights. We are looking for colleagues who value a continuous learning environment and are committed to improving our processes through thoughtful experimentation and collaborative feedback. Responsibilities Build strong partnerships with hiring managers and cross-functional teams, including Compensation, People, Finance, Recruiting Operations, and business leaders, to align on hiring priorities and deliver against headcount plans. Work closely with stakeholders to translate changing business needs into practical recruiting plans, clear ownership, and timely actions. Lead the day-to-day execution of recruiting plans, including sourcing, candidate outreach, interview process management, offer supp

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers. MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. We are looking to speak to candidates who are based in Singapore for our hybrid working model with business fluency in English and Thai. As an ideal candidate, you will have: Ideally 8 - 11 years of related experience in a customer facing role, minimum 3 years of experience in pre-sales with enterprise software Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity Experience designing with scalable and highly available distributed systems in the cloud and on-prem Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strat

Go-to-Market Recruiter, Asia-Pacific Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The recruiting team seeks to build the culture of Stripe by aligning the strongest global talent to our highest-impact business needs. They focus on bringing Stripe's operating principles to life in their recruiting processes, providing the highest-quality candidate experience, and leveraging data-driven storytelling to influence the business. What you'll do To further this important mission, we're looking for consultative and creative recruiters to grow and scale our Go-to-Market (GTM) team. The GTM organization at Stripe encompasses our Sales team, Marketing and Sales Development, GTM and Product Operations, and Professional Services. These teams are expanding in the region, focusing on bringing new users onto the Stripe platform, supporting our existing users' scale, and growing their businesses. You can expect high-impact and wide-ranging responsibilities—owning full-cycle recruiting, driving hiring strategy, and delivering best-in-class candidate experience. You're a builder who thrives in a learning environment—unafraid to try new things, embrace new ideas, and welcome suggestions for how we can iterate on our processes. Responsibilities Partner with senior leaders across the organization to understand their hiring objectives and develop recruiting strategies aimed at achieving headcount goals, with an emphasis on expanding our GTM teams in APAC Propose and implement creative and scalable changes to

About the Team The Applied AI Engineering team is responsible for helping developers and enterprises safely and effectively deploy OpenAI technologies in production. We act as trusted technical advisors and thought partners for customers, working side by side with their teams to identify high-value use cases, design practical architectures, and move from prototype to durable deployment. Cybersecurity is one of the most urgent domains where AI can help. Security teams are under pressure to reason across code, logs, infrastructure, tickets, alerts, and vulnerability data faster than ever. As frontier models become more capable, organizations need deep technical guidance on how to evaluate, validate, and safely deploy AI systems in security-critical workflows. About the Role We are looking for an Applied AI Engineer, Cyber to partner with customers and help them apply OpenAI models, APIs, Codex, and agentic workflows to real cybersecurity use cases. You will work with CISOs, security executives, application security leaders, SOC teams, security engineering teams, and hands-on practitioners to identify where AI can create measurable security outcomes. This is a customer-facing technical role for someone who can move fluidly between executive strategy, practitioner-level cyber depth, and hands-on solution design. You will help customers evaluate and deploy workflows such as secure code review, vulnerability triage, threat modeling, remediation, SOC and incident response workflows, detection engineering, cloud security, GRC automation, and security validation. You will collaborate closely with Sales, Solutions Engineering, Product, Engineering, Research, and Security to turn customer needs into safe deployment patterns, reusable field assets, and product feedback. This role is based in our Singapore office. We offer relocation support to new employees. In this role, you will: Deeply embed with strategic customers as the technical lead for AI-enabled cybersecurity workflow

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers. MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. This role will be based remotely in Singapore . As an ideal candidate, you will have 8 to 11 years of related industry experience, ideally 5-7 years of experience in a customer facing role Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity Experience implementing scalable and highly available distributed systems in the cloud and on-prem Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership Ability to work with a cross functional sales team to formulate and execute an end to end deal cycle A Bachelor’s degree or equivalent work experience Must have fluency in Mandarin language both verbal and written You may also have Experie