Field Marketing Emea Director in Singapore

The Enablement Delivery Specialist is a pivotal execution-focused role within the GTM Enablement organization, responsible for the end-to-end orchestration of world-class training experiences. Reporting to the Manager of Delivery, this role ensures that every training event, from foundational bootcamps to advanced skill-building workshops, is delivered with the logistical precision and professional excellence required to drive field performance. You will act as the "Producer" and "Emcee" for our regular and ad-hoc in-person and virtual events, serving as the connective tissue between strategic program design and field-facing execution. Based in our Dublin International Headquarters, you will thrive in a high-growth environment that values intellectual honesty, radical accountability, and a "team first" mindset. Success in this role means moving beyond simple event planning and facilitation to become a trusted partner who enhances the learner experience and provides critical insights for continuous enablement improvement. We are looking to speak to candidates who are based in Singapore for our hybrid working model. Responsibilities Training Event Orchestration and Logistics End-to-End Management: Own the full logistical lifecycle for in-person training events, including venue selection, meeting room configuration, catering, and on-site technology Operational Precision: Ensure flawless accuracy in scheduling, invitations, reminders, and learner communications across all assigned sessions Execution Reliability: Execute assigned tasks within scope and on time using project management tools, maintaining high delivery reliability Stakeholder Coordination: Partner with Workplace and TRO teams to orchestrate seamless delivery, owning handoffs and vendor coordination with "radical follow-through Data Integrity: Maintain accurate program data (attendance, survey results) with zero critical errors, ensuring visibility for stakeholders Event Production and Emc

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

JLL empowers you to shape a brighter way . Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Property Executive What this job involves: The Property Executive are the key front line of the Contractor in responding and attending to each Site and Employer Representatives, and including supervision to ensure that the Works and Services under the Contract are rendered and performed professionally, effectively, and efficiently. Assist the SFM and FM as the Site supervisors and assist the Core Team but not limited to the following: in all site measurement and records, uploading of field data to the computerised FM system, planning of works and services including considerations for improvement works, and controlling the resourcing and support of subcontractors and specialists. Required Qualifications: Possess a Diploma preferably in Building, Technical or Facilities Management or relevant disciplines from a recognised establishment (preferably with M&E background) with a minimum 3 years relevant working experience as a Property Executive/equivalent role or at least 8 cont

Reolink , a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. AI Algorithms Specialist (PHD Holder Only) 5 Work Days Per Week Office Near Tai Seng MRT, Singapore Medical Benefits Provided Entitled to Yearly Bonus & Performance Bonus Job Requirements PHD Holder in Computer Science, Applied Mathematics, Electrical Engineering, Pattern Recognition, Artificial Intelligence, Automatic Control, Operations Research, Biology, Physics / Quantum Computing, Neuroscience, Statistics or a related field. At least 2-5 years of workplace working experiences is preferable for this post. Familiar with common machine learning and deep learning algorithms and keeping track with the latest SOTA implementations. Strong programming skill in Python, C / C++, proficient in mathematical / statistical concepts and exceptional coding skills Hands-on experience with AI / ML frameworks be familiar such as Caffe, PyTorch, TensorFlow, MxNet etc. Have rich project experience in machine learning and deep learning, be familiar with common algorithm models, such as CNN, RNN, LSTM, Transformer, ViT, etc., and be able to improve and innovate models according to actual problems. Experience in familiar the design, parameter tuning and optimization methods of neural network models is a plus Experience in model compression and in the transplantation and optimization of deep learning forward inference on various platforms, including NPU / GPU / DSP / ARM on mobile platforms and CPU / GPU on server platforms is also a p

JLL empowers you to shape a brighter way . Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Summary: Workplace Experience Manager/ Lead duties and responsibilities include working closely with the hard services engineering manager. Leading a team of Workplace Ambassador, Event Ambassador, Helpdesk/Security Admin and soft services vendors to manage the workplace day-to-day operations, functional services of the facilities and ensure that all workplace experience functions and soft services are covered. You will strive for continuous improvement in the process. In addition, you will help mitigate risks by taking part in emergency evacuation procedures, and handling crisis management and business continuity plans. You will also be on top of health and safety issues that may arise, and actively participate in reviewing them. The responsibilities will include site budgets, accounting and finance, maintenance and operations, contract services, purchasing of material, equipment & supplies, occupancy services and helpdesk. Also, part of your mandate is to monitor the facilities infrastructure, vendor’s performance and processes comply with standards. Direct report to the Senior Facilities Manager. As an expert in the field, you must be flexible in taking other responsibilities aside from y

Reolink , a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. AI Algorithms Engineer (PHD Holder Only) 5 Work Days Per Week Office Near Tai Seng MRT, Singapore Medical Benefits Provided Entitled to Yearly Bonus & Performance Bonus Job Requirements: PHD Holder in Computer Science, Applied Mathematics, Electrical Engineering, Pattern Recognition, Artificial Intelligence, Automatic Control, Operations Research, Biology, Physics / Quantum Computing, Neuroscience, Statistics or a related field. Familiar with common machine learning and deep learning algorithms and keeping track with the latest SOTA implementations. Strong programming skill in Python, C / C++, proficient in mathematical / statistical concepts and exceptional coding skills Hands-on experience with AI / ML frameworks be familiar such as Caffe, PyTorch, TensorFlow, MxNet etc. Have rich project experience in machine learning and deep learning, be familiar with common algorithm models, such as CNN, RNN, LSTM, Transformer, ViT, etc., and be able to improve and innovate models according to actual problems. Experience in familiar the design, parameter tuning and optimization methods of neural network models is a plus Experience in model compression and in the transplantation and optimization of deep learning forward inference on various platforms, including NPU / GPU / DSP / ARM on mobile platforms and CPU / GPU on server platforms is also a plus. Strong logical thinking and problem-solving ability, able to independen

Reolink , a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. AI Algorithms Engineer (PHD Only) 5 Work Days Per Week Office Near to Kaki Bukit MRT, Singapore Relocate Near Tai Seng MRT in Mid-August 2026 Medical & Dental Benefits Provided Entitled to Yearly Bonus & Performance Bonus Job Requirements: PHD Holder in Computer Science, Applied Mathematics, Electrical Engineering, Pattern Recognition, Artificial Intelligence, Automatic Control, Operations Research, Biology, Physics / Quantum Computing, Neuroscience, Statistics or a related field. Familiar with common machine learning and deep learning algorithms and keeping track with the latest SOTA implementations . Strong programming skill in Python, C / C++ , proficient in mathematical / statistical concepts and exceptional coding skills Hands-on experience with AI / ML frameworks be familiar such as Caffe, PyTorch, TensorFlow, MxNet etc. Have rich project experience in machine learning and deep learning, be familiar with common algorithm models, such as CNN, RNN, LSTM, Transformer, ViT, etc., and be able to improve and innovate models according to actual problems. Experience in familiar the design, parameter tuning and optimization methods of neural network models is a plus Experience in model compression and in the transplantation and optimization of deep learning forward inference on various platforms, including NPU / GPU / DSP / ARM &nbs

Reolink , a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. AI Algorithms Engineer (PHD / Master Degree Only) 5 Work Days Per Week Office Near to Kaki Bukit MRT, Singapore Relocate Near Tai Seng MRT in August / September 2026 Medical Benefits Provided Entitled to Yearly Bonus & Performance Bonus Job Requirements: PHD / Master Holder in Computer Science, Applied Mathematics, Electrical Engineering, Pattern Recognition, Artificial Intelligence, Automatic Control, Operations Research, Biology, Physics / Quantum Computing, Neuroscience, Statistics or a related field. Familiar with common machine learning and deep learning algorithms and keeping track with the latest SOTA implementations . Strong programming skill in Python, C / C++ , proficient in mathematical / statistical concepts and exceptional coding skills Hands-on experience with AI / ML frameworks be familiar such as Caffe, PyTorch, TensorFlow, MxNet etc. Have rich project experience in machine learning and deep learning , be familiar with common algorithm models, such as CNN, RNN, LSTM, Transformer, ViT, etc., and be able to improve and innovate models according to actual problems. Experience in familiar the design, parameter tuning and optimization methods of neural network models is a plus Experience in model compression and in the transplantation and op

The Point72 Academy Summer Internship — Singapore Are you a student interested in pursuing a career in investing? If you are graduating between December 2027 and July 2028, we invite you to apply for our 8-week summer internship, taking place from June to August 2027. Launch your investing career in the Point72 Academy, an investment analyst training program that will provide you with the tools and knowledge to build a career in our ever-evolving industry. Since 2015, the Academy has graduated more than 230 analysts onto our platform as of November 2025; some are portfolio managers today. The Point72 Academy Summer Internship is a combination of classroom instruction, portfolio casework, and mentorship. The program is designed to give you insights into finance, research, and the workings of the public markets and prepare you for a potential opportunity with the full-time Point72 Academy Associate Program. During the internship, you will: Acquire fundamental knowledge and skills necessary to contribute as an analyst, alongside your peers. Receive training in accounting, modeling, presenting, and compliance. Collaborate with an investment team, gaining firsthand experience of the daily life of an equities analyst and exposure to one of the sectors covered by our Portfolio Managers. Work closely with Academy coaches, delving deeper into data analysis and preparing a final pitch on an investment idea. Collaborate with Compliance, Information Security and the Office of the Co-CIO to discover efficient ways to harness AI in your investment processes and workflows. Who We’re Looking For: We welcome students from all academic disciplines. Your field of study or major is not a determining factor; we seek individuals who can effectively manage teamwork, exhibit integrity, possess intellectual curiosity, demonstrate leadership potential, and express a keen interest in the fin

ABOUT CUBIST Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. ROLE Quantitative alpha research requires mastery of multiple domains. The best research requires original research ideas, good intuition, strong data analysis skills, and good research planning. Our research directly drives our investment decisions. This role is highly selective. We have a long history of training extraordinarily talented academic researchers to succeed in the investment services industry. Prior experience in the financial services industry is not required. RESPONSIBILITIES Provide research assistance to full-time researchers Assist with data collection and preliminary analysis Follow, digest, analyze and improve upon the latest academic research DESIRABLE CANDIDATES Ph.D. candidates in finance, economics, mathematics, statistics, physics, computer science, or other quantitative discipline. Programming in any of the following: R, Python, or C++. Experience with SQL. Solid research experience in the field of the candidate’s specialty. Strong analytical and quantitative skills. Detail-oriented. Demonstrated ability to learn and apply new methodologies to real life problems. Willingness to take ownership of his/her work. Ability to work both independently and collaboratively within a team. Strong desire to deliver high quality results in a timely fashion. Prior experience in the financial services industry is not required.

At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections. Mindbody equips wellness entrepreneurs with technology to support thriving businesses and create exceptional experiences. Innovation and curiosity drive our culture, connecting businesses and individuals through cutting-edge solutions. Join us if you're passionate about enhancing wellness through technology. Who we are We drive sales of Mindbody software. The Revenue team helps our customers achieve their business goals, contributes to their growth, and eliminates hurdles by finding smart solutions from our suite of software products. We are strategic, collaborative, and solutions-oriented. About the right team member The SMB Sales Specialist is responsible for achieving sales targets for the Mindbody team. This position is focused on the total addressable market, while maintaining revenue objectives. The position involves communicating with prospects in various forums including field sales and outbound calls, emails, text, and other social media engagements. The SMB Sales Specialist enable others’ passions for health, wellness, and beauty to reach their maximum potential by providing solutions through technology. About the role Drives sales volume via outbound cold calls, outbound field sales, lead generation and closing sales with our single location prospects Initiates sales activity via in-person, phone, text and email, including but not limited to, introduction (cold calls), follow-ups, and demonstration calls, introduction emails, follow-up emails, pre-and post-demonstration r

About the Team The Technical Success team helps OpenAI’s customers realize meaningful and sustained value from our technology. We partner with customers throughout their journey—from initial exploration and solution design to production implementation and organization-wide adoption. Applied AI Engineers serve as trusted technical partners to customer executives, engineering teams, product leaders, security organizations, and transformation teams. They combine deep technical judgment with strong customer instincts, translating frontier AI capabilities into secure, reliable systems and durable business outcomes. About the Role We are seeking a Manager to build, lead, and develop a high-performing team of Applied AI Engineers supporting our enterprise customers. You will be accountable for the technical success of a broad and strategically important customer portfolio. You will help your team identify high-value opportunities, design and deploy production-grade AI systems, navigate complex technical and organizational constraints, and expand successful implementations across workflows, teams, and business units. This role requires technical depth, people leadership, customer judgment, and operational rigor. You should be comfortable coaching engineers through architecture and evaluation decisions, engaging directly in high-stakes customer situations, and collaborating with Sales, Solutions Engineering, Product, Research, Engineering, Security, and Legal. You will also help define how we serve enterprise customers at scale by developing effective coverage models, reusable implementation patterns, technical enablement, escalation mechanisms, and systems for turning field insights into high-quality product feedback. This role is open in our Singapore office. 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 Build, manage, and develop a high-performing team of Applied AI Engineers supporting

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Data Science sits at the heart of how Coinbase builds products and makes decisions. We partner with Product, Engineering, and Design to shape roadmaps, understand our users, and move the company's bottom line through rigorous experimentation, analytics, and advanced modeling. As a Data Scientist on the Consumer team, you'll improve the customer experience across Coinbase's consumer products — including spot and advanced trading, yield, Coinbase One, international expansion, and new launches such as prediction markets and equities trading. You'll define key metrics, build measurement and causal frameworks, and translate insights directly into product strategy and shipped improvements. What you'll do: Drive analysis and deep dives on ambiguous business problems, delivering insights and recommendations that guide team decision-making Own a broad scope of data and metrics — from core logging to polished data visualizations Lead code reviews, contribute SQL and Python expertise, and maintain reliable ETL pipelines Uphold a high bar for statistical rigor, ensuring experimentation and causal analyses build genuine confidence with stakeholders Required Skills and Experience: BA/BS in a quantitative field (Math, Stats, Physics, CS, or similar) with 5+ years of relevant experience, or a PhD with 3+ years of relevant experience Proven track record of delivering impa

Our Strategic Account Executives target and close new business with Datadog’s largest, most strategic customers and prospects in Singapore & Philippines. In this role you’ll be focused on uncovering the pain points organizations face as they operate in or migrate to a cloud environment at scale as well as delivering the appropriate Datadog solution. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Prospect into large Fortune 1000 companies while running an efficient sales process Maintain, build and own specific relationship maps for your territory including existing relationships and aspirational contacts Develop a deep comprehension of customer's business Negotiate favorable pricing and business terms with large commercial enterprises by selling value and ROI Handle existing customer expectations while expanding reach and depth into assigned territory Demonstrate resourcefulness when faced with challenges that defy easy solution Have intuitive sense of necessary steps to close business and gain customer validation Identify robust set of business drivers behind all opportunities Ensure high forecasting accuracy and consistency Who You Are: Someone with 5+ years closing experience (mix of field selling within mid-market or enterprise) Driven and have met/exceeded direct sales goals of 1M+ and operated with an average deal size of $100k+ Able to demonstrate methodology to prospect and build pipeline on your own Experienced in working for an innovative tech company (SaaS, IT infrastructure or similar preferred) Experienced in selling into large Fortune 1000 companies with the ability to win new logos Role requires regular travel to client sites, within your area and other regions, using various modes of transportation (car, train, air), depe

Our Strategic Account Executives target and close new business with Datadog’s largest, most strategic customers and prospects. In this role you’ll be focused on uncovering the pain points organizations face as they operate in or migrate to a cloud environment at scale as well as delivering the appropriate Datadog solution. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Prospect into large Fortune 1000 companies while running an efficient sales process Maintain, build and own specific relationship maps for your territory including existing relationships and aspirational contacts Develop a deep comprehension of customer's business Negotiate favorable pricing and business terms with large commercial enterprises by selling value and ROI Handle existing customer expectations while expanding reach and depth into assigned territory Demonstrate resourcefulness when faced with challenges that defy easy solution Have intuitive sense of necessary steps to close business and gain customer validation Identify robust set of business drivers behind all opportunities Ensure high forecasting accuracy and consistency Who You Are: Someone with 5+ years closing experience (mix of field selling within mid-market and enterprise) with insurance and traditional conglomerates in the Hong Kong market Driven and have met/exceeded direct sales goals of 1M+ and operated with an average deal size of $100k+ Able to demonstrate methodology to prospect and build pipeline on your own Experienced in working for an innovative tech company (SaaS, IT infrastructure or similar preferred) Experienced in selling into large Fortune 1000 companies with the ability to win new logos Role requires regular travel to client sites, within your area and other regions, using various modes of trans