Field Enablement Manager in Singapore

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 Marketing Operations is a team of marketing execution experts and systems thinkers focused on efficiency. We partner closely with Regional and Demand marketing, Growth, Martech, and creative teams to deliver scalable, high-impact campaigns across channels. While we operate globally, this role is focused on supporting the APAC region. What you’ll do We are seeking a Marketing Operations Program Manager to serve as the end-to-end marketing operations process owner for in-person and online events. In this role, you will collaborate with Field Marketing, Demand Generation, Marketing Technology, and Marketing Operations teammates to identify audiences, track and drive attendance, produce high-performing and measurable campaigns, accurately process attendee and non-attendee data, route leads accurately and quickly, and provide sales follow-up reporting. Responsibilities Own end-to-end marketing operations for in-person and online events, from campaign intake through post-event reporting. Partner with Field Marketing, Demand Generation, Marketing Technology, and Sales to define operational plans, timelines, responsibilities, and success metrics. Manage audience strategy and campaign execution, including segmentation, registration, email, testing, launch readiness, and attendance tracking. Monitor registration and attendance, address risks and dependencies, and identify opportunities to improve conversion and engagement. Manage the acc

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Okta is seeking a world-class deal strategy leader to partner with the APJ GTM teams to grow the business and close the best deals possible. The APJ Deal Strategy lead will set the strategy and direction with APJ GTM leadership to help Okta scale to $4B+, driving innovative approaches and operational excellence to help the field win. This role requires strong cross functional executive collaboration and influence along with the ability to deal with ambiguity, come up with creative solutions and drive urgency with quarterly business cadence while transforming for scale. This leader will have team management responsibilities with the opportunity to further build out a team over time to drive scale in deal coverage and business impact. The person in this role will work across APJ GTM leadership and cross-functional support teams such as Legal and Finance to determine the best deal structures as we ramp up the business. This leader will drive and maintain the deal strategy and operational excellence in alignment with global best practices. In addition, this leader will work with the broader business planning team including P&P, Business Value and Compete along with IT to support successful rollout of new offers and programs to market. As Okta rapidly launches new innovations and expands into new markets, this role is critical to our success. A successful leader in this role will have a combination of skills across deal strategy & management,

Head of Channel Partnerships, APAC Asana is looking for a Head of Channel Partnerships to lead and grow our channel business across APAC (excluding Japan). The Channel and Ecosystems team is dedicated to accelerating Asana's growth and market reach through partnerships and fostering a thriving partner network. In this role, you will sit at the intersection of sales leadership and channel strategy, managing a team of Channel Partner Managers spanning the region, setting the strategic direction for how we go to market through and with partners, and raising the bar on how our team sells alongside them. Reporting to the GM of APAC, you will be a key voice in shaping how Asana scales across diverse and fast-growing markets by running deep discovery, driving executive storytelling, and coaching your team to model excellence in the field. This role is based in our Singapore or Sydney office with an office-centric hybrid schedule. The standard in-office days are Tuesday, Wednesday, and Thursday. Most Asanas have the option to work from home on Mondays and Fridays. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Lead, coach, and develop a regional team of Channel Partner Managers across APAC (ex-Japan), owning their performance, growth, and day-to-day effectiveness in the field. Own the APAC channel revenue number, setting targets, building pipeline visibility, and holding the team accountable to outcomes. Shape and execute the APAC channel GTM strategy, including partner segmentation, coverage model, and investment priorities across Southeast Asia, India, ANZ, and other key markets. Raise the team's sales capability, coaching them on how they run discovery, identify customer pain, and show up alongside partners in front of executive stakeholders. Build and maintain senior relationships with Asana's most strategic channel partners across the region, serving as an escalation point and executive sponsor

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

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

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? In this role, you will have ownership of the full sales cycle - from identifying leads to closing deals for enterprises across diverse industries in Singapore and across other ASEAN countries such as financial services, manufacturing, energy, telecommunications and the public sector. Cohere seeks an approachable and compelling communicator who loves working with prospects to uncover their needs and feels comfortable developing tailored value propositions around how Cohere’s platform can help them achieve their business goals. You’ll lay the foundation for Cohere’s growth by owning your territory and collaborating with teammates across Customer Success, Sales Development, Marketing and Sales Engineering. You’ll be the voice of the field and partner with our Product and Engineering teams to prioritize the Cohere roadmap with customer-centric care. In this highly self-directed role, you are someone who thrives in an unstructured and quickly evolving environment. And your opportunity for impact will be astronomical — Cohere has skies-the-limit potential, and you’ll help us reach it. As an Account Executive, you will :