Account Executives Manager Jobs

Role Overview: We are seeking an Accountant to join our Finance team in Singapore. The role focuses on maintaining an accurate general ledger, ensuring timely month-end closures, maintaining internal controls over financial reporting, and supporting audits and tax filings. The ideal candidate thrives in a fast-moving trading environment with high transaction volumes, multiple legal entities, and constantly evolving products. Key Responsibilities: Execute month-end and year-end close processes. Prepare and review accounts payable, journal entries, accruals, account reconciliations, bank wires and fluctuation analyses. Maintain accurate standard operating procedures, financial records and documentation. Identify and implement automation opportunities within the accounting, close and reconciliation process. Liaise with banks, auditors, tax agents, and government authorities and external service providers. Prepare financial statements and management reports. Monitor cash flow and bank balances to ensure sufficient funding for operational requirements. Required Skills and Qualifications: 2-4 years of experience in audit firms and/or in-house finance teams. Bachelor’s degree in Accountancy from a reputable university. Proficiency in Microsoft Excel for accounting, data analysis and resolving breaks Excellent problem-solving skills. Expertise in financial reporting standards, regulatory compliance, GST, and corporate tax requirements. Strong sense of integrity, responsibility, attention to detail and the ability to work under pressure.

Position Overview: We are excited to introduce a newly created Senior HR Business Partner role, partnering directly with the Senior Leadership Team (SLT) to drive organizational effectiveness, leadership capability, and strategic workforce planning across the business. Central to the role is holding senior leaders accountable for their own growth as leaders: coaching them with the same rigor they are expected to apply to their teams, so that as leaders level up, their team’s level up alongside them. You will help drive effective people practices by balancing business priorities with employee experience and will play a key role in evolving Diligent’s HR operating model toward more strategic, AI-enabled ways of working. The ideal candidate is collaborative, business-minded, and solutions-oriented, with strong judgment, communication skills, and the ability to build trusted relationships with senior stakeholders – while being direct enough to hold them to account. Key Responsibilities Serve as a senior strategic HR partner to the Senior Leadership Team (SLT) for an assigned business unit or regional pod, leading org design, talent planning, succession planning, and coaching. Develop the people strategy for the business unit or function you support, in partnership with senior leadership, translating business strategy and objectives into a people plan that delivers maximum impact. Lead strategic workforce planning for the business unit — including how work is organised across people and AI agents — and navigating the balance between building AI capability and developing the human skills needed for the future in an AI-first organisation. Partner with the HR Director on implementation and functional roll-out of the broader people strategy. Lead the business unit’s talent and performance cycles, including goal-setting/OKR cadence, SLT-level calibrations, compensation review for the SLT-and-below population, and 9-box grid review. Drive turning workforce, engageme

Overview: Guidepoint’s Business Development teams are passionate about expanding our reach with both new and existing clients. We support Guidepoint’s full suite of service offerings — from expert interviews and surveys to insights and research solutions — helping clients stay informed and make better business decisions. Our teams focus on building long-term partnerships and delivering tailored solutions that maximize client value. We are looking for a Senior Business Development Manager to further grow our Corporate business across Southeast Asia. This role will be responsible for driving the full sales cycle, from business development and account expansion to project execution and client relationship management. It is an exciting opportunity for a self-starter with experience in insights, research, or consultative solution sales to contribute to Guidepoint’s evolving corporate growth strategy and expanding product capabilities. What You’ll Do: Drive outbound prospecting efforts to identify, qualify, and develop new business opportunities across Southeast Asia corporate accounts Build and manage relationships with existing strategic accounts to identify growth, retention, and cross-selling opportunities across Guidepoint’s service offerings Lead the end-to-end sales cycle, including client meetings, commercial discussions, proposal development, contracting, and delivery coordination Partner closely with Client Service teams to ensure high-quality execution and strong client outcomes Achieve designated business development, revenue, and account growth targets through disciplined pipeline management and commercial execution Conduct client feedback and account review meetings to strengthen relationships and uncover new opportunities Support the development of marketing materials, client presentations, and go-to-market initiatives for new products and solutions Develop a strong understanding of primary research methodologies, industry trends, competitor l

Leite umfassende Transformationsprogramme im Zahlungsverkehr – von der Strategie über die Analyse bis hin zur erfolgreichen Umsetzung. Deine Rolle Als Principal Consultant im Bereich Payments übernimmst Du eine hybride Rolle aus Business Analyse und Projektmanagement in komplexen Transformationsprogrammen für führende Finanzinstitute. Du gestaltest Lösungsansätze, leitest Workstreams oder Programme und treibst die Umsetzung über Business-, Operations- und Technologieteams hinweg voran. Diese Rolle richtet sich an erfahrene Payments-Spezialistinnen und -Spezialisten, die flexibel zwischen strategischer Analyse und operativer Umsetzung agieren. Deine Aufgaben Leitung oder Steuerung von Transformationsinitiativen in zentralen Payments-Bereichen wie Karten, Account-to-Account-Zahlungen, Pricing & Billing, Kundenservice und operative Modernisierung Definition von Zielprozessen, Vorgehensweisen für Anforderungen und Umsetzungs-Roadmaps bei gleichzeitiger Sicherstellung von Governance und Stakeholder-Abstimmung Aufbau und Steuerung von Programmstrukturen, Delivery-Plänen, Abhängigkeiten, RAID-Prozessen und Reporting auf Management-Ebene Moderation von Entscheidungsprozessen zwischen Produkt-, Operations-, Technologie-, Risiko- und Finance-Stakeholdern zur Lösung komplexer Fragestellungen Beitrag zum Wachstum von Beratungsprojekten durch Lösungsentwicklung, Kundenbeziehungsaufbau und fachliche Impulse im Bereich Payments-Transformation Dein Profil Langjährige Erfahrung in der Payments-Transformation im Beratungs- oder Finanzdienstleistungsumfeld (Business Analyse, Delivery Leadership oder Programmmanagement) Erfahrung in der Zusammenarbeit mit internationalen und funktionsübergreifenden Teams in einem globalen Umfeld Erfahrung im Umgang mit Senior Stakeholdern bis auf C-Level- bzw. Managing-Director-Ebene Erfahrung in der Managementberatung, im Consulting oder in der Geschäftsentwicklung (Business Development) Fundierte Kenntnisse von Zahlungsverkehrsprodukten un

About the team OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. OpenAI for Government helps public-sector institutions use advanced AI responsibly to improve services and advance critical missions. The Partnerships team builds the external ecosystem and internal operating mechanisms required to deliver that work at scale. Role Summary We are seeking a Partnerships Operations Lead to build and run the operating foundation for OpenAI for Government’s Partnerships team. This person will serve as the operational connective tissue across the partner team, working closely with Account Directors, Solutions Architects, Revenue Operations, Deal Desk, and other cross-functional stakeholders to move opportunities from initial engagement through agreement and execution. They will help ensure a smooth handoff to Technical Success across accounts by establishing clear readiness criteria, capturing the right commercial and customer context, and aligning teams on partner roles, commitments, dependencies, and success outcomes. The ideal candidate is a true utility player who combines the relationship instincts of a growth oriented builder with the rigor of an exceptional business operator. They thrive in ambiguity, create processes that do not yet exist, and move fluidly between deal execution, workflow design, analysis, and cross-functional coordination. Key Responsibilities Own the end-to-end operating cadence for partner-sourced and partner-influenced opportunities, from intake and qualification through approvals, contracting, launch, and expansion. Build and continuously improve operating processes, standard procedures, stage gates, decision rights, and service expectations that make partner execution faster and more predictable. Operationalize new and existing government partner motions—including cloud providers, resellers, and sell-through models—by translating requirements that differ from standard commercial motions into clear work

Location Details: India, Remote At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join Our Team We are looking for a Software Development Engineer to assist in building and strengthening our Identity UI team. GoDaddy is a global products seller to customers from all over the world. Our Identity UI serves login, account create as well as profile and preferences for all GoDaddy’s customers. The UI’s we build are among the first the users see on their customer journey, and helps the user keep their profile up to date. Does that sound exciting to you? Then you are made for the role. What you'll get to do... Develop and enhance user-facing features using React Optimize application performance, load times, and overall user experience while modernizing existing UIs Build and maintain unit, integration, and end-to-end test coverage, delivering through CI/CD pipelines Use AI-assisted development tools as part of your daily workflow while critically reviewing and validating generated code Collaborate within a global Agile team alongside product, design, and backend engineering partners Your experience should include... 3+ years of software engineering experience building large-scale applications or distributed systems Strong proficiency in JavaScript, HTML, and CSS, with an understanding of React.js and modern frontend development principles Experience working with RESTful APIs and a foundational understanding of accessibility (a11y) best practices Experience using version control systems (Git preferred), working in Agile teams, and testing and deploying code through CI/CD pipelines (e.g., GitHub Actions) Experience using AI-assisted

About the Team OpenAI’s Sales team partners with advertisers to understand their businesses, develop meaningful advertising solutions, and drive long-term growth on the platform while maintaining strong standards for user trust and platform integrity. About the Role This role will focus on growing advertising revenue across the Travel vertical, including airlines, hotels, online travel agencies, tourism boards, travel marketplaces, cruise lines, and adjacent travel brands. You will own the full sales cycle—from prospecting through deal closure—and build strategic relationships with senior travel-industry decision-makers. You’ll help advertisers reach high-intent audiences, improve campaign performance, and develop long-term commercial partnerships that support their business goals. You will work closely with Account Managers and cross-functional partners to ensure successful advertiser outcomes after the sale, while maintaining primary ownership of revenue growth, commercial strategy, and Travel vertical expertise. In this role, you will: Prospect, qualify, and close new advertising opportunities across the Travel vertical. Own and achieve a defined revenue target across an assigned portfolio of travel advertisers. Build relationships with senior advertising, marketing, ecommerce, loyalty, and revenue-management leaders. Develop account plans that connect advertiser goals—such as bookings, destination awareness, loyalty acquisition, app adoption, and seasonal demand—to measurable campaign outcomes. Identify opportunities across major travel moments, including peak booking periods, holidays, events, route launches, destination campaigns, and loyalty promotions. Structure and negotiate complex commercial agreements. Build clear, data-driven business cases that demonstrate advertiser ROI and long-term platform value. Partner with Account Managers to support seamless post-sale transitions, campaign success, renewals, and expansion. Collaborate with Product, Engineering,

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 . Coinbase Tokenized Equities give eligible non-US users a simple way to buy tokens backed 1:1 by US stocks and ETFs — no brokerage account needed. The tokens are issued out of Abu Dhabi Global Market (ADGM), a regulated financial center overseen by the FSRA, and trade 24/7 onchain. We're hiring an Accounting Manager to be the finance lead for this product. This is a senior individual contributor role for someone who likes to build. You'll own the accounting and reporting model from the ground up — accounting policy, regulatory and legal entity reporting, controls, GL operations, and finance systems — coordinating across Tax, Treasury, FP&A, and controllership, as well as external auditors and regulators. If you like solving hard problems and building from scratch, this role is for you. What You'll Do Build the accounting model from the ground up — covering token issuance and redemption, asset tracking, intercompany flows, and the close process Own regulatory compliance and reporting to the FSRA for this business. This includes liaising with the regulator to ensure a consistent understand of the rules, building a robust, efficient and well controlled reporting process and remaining responsive ad hoc queries Partner with Product, Engineering, Legal, Tax, Compliance, Treasury, FP&A, and Finance Data so new flows are accurate, controlled, and scalable Sign of

About the Team The AI Architect team partners with organizations to turn OpenAI's most capable models into meaningful, real-world impact. We work with customers across industries and digital-native businesses to identify where AI can create value, design secure and scalable solutions, and help those solutions move from early exploration into sustained production adoption. The team brings together technical strategy, customer partnership, and practical deployment expertise, working closely with Sales, Product, Engineering, Research, and specialist delivery teams. Within Education, we partner with universities, schools, research institutions, and countrywide education systems to advance responsible, mission-aligned uses of AI. These environments require more than technical deployment: success depends on institutional trust, thoughtful governance, stakeholder education, change management, and a value narrative that resonates with academic leaders, researchers, IT teams, faculty, administrators, and students. About the Role As an Applied AI Architect for Education, you will be the senior technical owner for a named portfolio of education customers and the primary technical counterpart to their leadership teams. You will act as the “CTO of your book of business,” shaping each institution’s AI strategy and guiding its journey from pre-sales discovery and solution evaluation through deployment, adoption, and measurable institutional impact. You will own the technical account plan across ChatGPT Edu, the OpenAI API, Codex, and other agentic AI solutions. In partnership with the Account Director, you will translate institutional priorities into a focused portfolio of use cases, an actionable adoption roadmap, and a clear path to durable value and growth. The Account Director owns the commercial strategy; you own the technical strategy, customer journey, and path to production value. You will work across academic, research, administrative, and operational contexts—helping cus

About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the role Supabase is scaling its AWS partnership across multiple go-to-market motions, and gaming is one of the fastest-moving. This role owns the AWS gaming segment end to end, driving adoption of Supabase within game studios building on AWS, and managing the technical and commercial relationship with AWS's gaming ecosystem (GameLift, gaming ISVs, and gaming-focused SI/SA teams). You'll work closely with our SI partner ecosystem (including gaming-focused system integrators) on feature enhancements, run co-sell motions with AWS gaming account teams, and build the pipeline that proves out gaming as a durable growth motion for the AWS relationship. What you'll do Own the AWS gaming segment strategy and roadmap Manage relationships with AWS's gaming team (GameLift, gaming ISV/partner org) and gaming-focused AWS SAs Drive the SI partnership motion with gaming systems integrators -- including scoping technical gap analyses (SDK coverage across Unity, Unreal, Godot), negotiating MNDAs/agreements, and managing joint GTM plans Build and run co-sell pipeline with AWS gaming account teams through ACE Identify and close gaps in Supabase's gaming-specific product story (SDK support, real-time/multiplayer patterns, missing feature parity vs. incumbents) Represent the gaming motion in AWS SCA/funding conversations, providing data and narrative to support investment asks Partner with product marketing on gaming-specific content, case studies, and launch narratives Who you are 3-5+ years in partnerships, alliances, or business development, ideally with AWS or another hyperscaler Experience working with or in the gaming industry (studios, publishers, or gaming-focused ISVs/SIs) a strong plus Track record

About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the role This role owns the enterprise and AI segment of Supabase's AWS partnership -- driving adoption among larger, more complex enterprise accounts and AI-native companies building production workloads on Supabase. You'll anchor the enterprise motion around reference customers, build the case for enterprise innovation funding with AWS, and own the relationship with AWS enterprise account teams and Solutions Architects. This is a strategic, quota-adjacent role: you'll be responsible for building enterprise pipeline through AWS co-sell, deepening AWS's confidence in Supabase as an enterprise-ready platform, and supporting Competency and reference programs that unlock further AWS investment. What you'll do Own the AWS enterprise strategy Manage relationships with AWS enterprise account teams, Solutions Architects, and relevant service-line teams (e.g., Database Services) Drive co-sell pipeline for enterprise and AI-native accounts through ACE, working closely with AWS field teams Support AWS Competency designations and reference program management -- coordinating customer references, evidence collection, and renewal timelines Build and maintain enterprise reference narratives (anchor customer stories) used in AWS-facing business cases and exec conversations Represent the enterprise motion and funding discussions, providing pipeline data and account-level detail to support investment asks to AWS Partner with sales leadership to identify strategic enterprise accounts where AWS co-sell can accelerate deals Work with product and product marketing to keep the enterprise/AI product narrative current for AWS SAs and account teams Who you are 4-6+ years in partnerships, alliances, or enterprise b

About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. Key Responsibilities: Collection Strategy & Analytics - Develop strategies for all collections related activities and ensure that the processes are followed as planned Analyzing the data and Implementing different collection strategies with Data Science Regular improvement in processes & collection strategies. A/B testing, data analysis and iterations. Develop and implement advanced analytics approaches including statistical modelling Analyze big data (structured and unstructured) and understand trends to provide actionable insights that impact business bottom line. Break down the Loss forecasts into collections roll rates and recovery rates Track Account-to-Collection Ratios (ACR) by bucket to optimize collections performance Segmentation analysis has to be conducted using analytical tools and strategies for each segment have to be deployed across buckets. Devise Champion Challenger programs showing Cost Vs Benefit analysis driving higher resolution rates across products and buckets Analyzing data: Performing quantitative and qualitative analysis on accounts. Developing strategies: Developing collection strategies based on insights from stakeholders. Implementing strategies: Working with the collection strategy support unit to implement and control the execution of strategies. Improving processes: Automating processes, data, and models to improve productivity. Forecasting losses: Increasing the accuracy of loss-forecasting strategies. Segmenting customers: Developing more effective contact strategies by segmenting customers, including behavioral segmentation. Meeting regulatory requirements: Applying individualized c

B2B go-to-market software has historically been where design ambition goes to die. The tools are powerful but joyless. Dense, generic, admin-heavy, and built for process more than delight. Meanwhile, the best product companies have raised everyone’s expectations for what business software can feel like: fast, opinionated, elegant, and genuinely useful. AI gives us a chance to rebuild the category from first principles. Mutiny is building the agentic GTM platform that helps revenue teams create the work they need to win. Sellers and marketers should not have to wait on five internal teams to move a deal forward. They should have a bench of AI teammates that understands the account, knows what good looks like, and gets sharper every week. We’re looking for a founding staff designer to define what that feels like. This is not a role where you plug into a mature design system, clean product rituals, or a settled category. You’ll help invent the product language for AI-native GTM software: the interaction model, the creative standards, the feedback loops, the system, and the taste bar for what the agent produces. The design problem Our job is to make AI output that a great seller, marketer, or designer would actually be proud to put in front of a million-dollar account. That requires more than a chat box. It requires data, memory, taste, brand intelligence, workflow design, and a UI simple enough for every rep to use daily but powerful enough to support an entire revenue motion. Some of the questions you’ll help answer How should a seller direct an agent without becoming the agent’s project manager? How do we make generated work feel on-brand without making it dull? What does editing look like when the object is not a static page, but an intelligent system that can regenerate, revise, explain, and learn? How do we give users confidence and control without burying them in settings? How do we turn taste into a system the product can improve over time? What you’ll work on P

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and