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About the Team The New Verticals Finance & Strategy team supports DoorDash’s expansion into categories beyond restaurants, which is a critical growth driver for the overall company. We enable our businesses to grow faster while becoming more profitable. We do this by creating quarterly and annual plans, holding our stakeholders accountable to goals, and providing strategic insights on our business to understand past trends and identify the best path forward. About the Role We're hiring a Senior Associate to help lead the day-to-day financial reporting and closing processes for our New Verticals business. In this role, you'll own recurring reporting cycles, including monthly close, weekly business reviews, and cross-team planning processes, partnering closely with Accounting, Data Engineering, and business teams to keep our financial reporting accurate and on time every cycle. This is a highly detail-oriented, execution-focused role: you'll spend most of your time working directly in the numbers, with real opportunities to build automation and process improvements along the way. You will report into a Manager on our New Verticals Finance team in our Finance & Strategy organization. You’re excited about this opportunity because you will… Own the monthly close and weekly reporting process for New Verticals, ensuring our financial data ties out accurately and on time every cycle. Build and maintain financial models and reporting tools that the broader Finance team relies on every week. Partner with Accounting, Data Engineering , and cross-functional business teams to investigate and resolve reporting discrepancies before they affect business decisions. Help modernize recurring reporting processes, including opportunities to use AI-powered tools to increase efficiency. Play a foundational role on a growing team, with room to take on more scope as you build expertise in the business. We’re excited about you because… You have 4+ years of experience in FP&A, cor

Overview: Qsight is a high-growth division of Guidepoint focused on building data intelligence solutions for the healthcare sector. Qsight leverages proprietary datasets and rigorous analysis of alternative data sources to generate actionable insights for top-tier institutional investors, medical device manufacturers, and pharmaceutical companies. The Qsight team develops market intelligence products designed to be highly relevant, accurate, and scalable – delivering superior insights to a diverse, global client base. We are seeking an experienced, motivated Tehnical Operations Engineer to join our growing team. This is a multiple-hats role focused on SaaS/platform operations and tier-2 support for client-facing systems. You will own the administration and reliability of key tools, troubleshoot and resolve escalations with clear documentation, and build lightweight automation and reporting to reduce manual work as we scale. You will partner closely with Customer Success, Product, and Engineering to proactively monitor, support, and improve critical systems. Through practical, creative problem-solving, you will strengthen reliability, accelerate time to resolution, and increase operational visibility. Day to day, you will triage and resolve client technical questions, manage vendor license administration and renewals, and produce reporting that informs operational decisions. This role is a launchpad toward an SRE/Platform Engineering track as you grow into deeper automation, reliability engineering, and systems design work. This is a hybrid position based out of our Toronto office. What You’ll Do: Platform Support Own routine ops and configuration changes for critical SaaS platforms – Including Tableau, Freshdesk, Datadog, and our own client facing and internal portals Configure and maintain Freshdesk portals, routing, SLAs, permissions, integrations, etc. based on business requirements. Automate manual operations with Python, PowerAutomate, and shell scri

CAPCO POLAND *We are looking for Poland based candidate. Capco is a fully independent, global management and technology consultancy. For 25 years we have combined innovative thinking with deep industry knowledge to deliver business consulting, digital transformation and technology services to Finance and Energy markets. Our collaborative and efficient approach helps clients reduce costs and manage risk and regulatory change while increasing revenues. We are thinkers, innovators, and disruptors. We are small enough to care but large enough to matter. As an IT Security Analyst , you will play a key role in supporting a large-scale Secrets & Credential Management initiative. You will analyze current-state environments, identify control gaps, and define robust, scalable security requirements. Working across technical and business teams, you will help ensure that sensitive credentials are governed, controlled, and aligned with regulatory and operational expectations. Key Responsibilities: Conduct end-to-end analysis of secrets and credential management practices across applications, infrastructure, and platforms Identify, classify, and document secrets, including ownership, usage, storage, lifecycle stage, and associated risks Assess control gaps (e.g., unmanaged credentials, hardcoded secrets, weak auditability) and define remediation approaches Define functional and non-functional requirements for centralized secrets management solutions Facilitate workshops with stakeholders to gather requirements, validate findings, and support governance activities Required Skills and Experience: At least 5 years of experience in a similar role. At least 2 years of experience in working with IAM projects. Experience in IT security analysis, security requirements engineering, or security governance within complex environments Strong understanding of IAM, PAM, least privilege, and secure access governance principles Knowledge of credential types (passwords, SSH

Job Title: Liquidity - BA Reporting Applying predefined regulatory rules and mappings to support regulatory submissions under guidance/supervision. Basic variance analysis and reconciliation activities Understanding and applying documented procedures for regulatory reporting. Regulatory impact assessments and benchmarking activities using predefined methodologies, with interpretation performed under supervision. Strong understanding of regulatory reporting frameworks (PRA, EBA, ECB, Basel, Liquidity, Capital, IRRBB) Solid grounding in finance, accounting, balance sheet & RWAs. Proven experience working in large, global financial institutions Documenting business and functional requirements.. Experience in project governance, RAID/status reporting, steerco delivery, and coordinating across BA/IT/testing workstreams. Exposure to controls frameworks, audit readiness, and issue remediation within regulatory reporting environments. Familiarity with collateral management, intraday liquidity, or supply chain management reporting domains. Experience with reporting remediation, communications delivery, or governance within regulatory change programmes Desirable: Provides subject matter expertise and judgement to assess and resolve complex, ambiguous, or emerging regulatory reporting requirements (e.g. PRA, ECB), where established procedures or precedents may not exist

Learning & Development Partner – Data Engineering Business Experience: 10–13 Years Role Purpose The Learning & Development Partner will work closely with the Data Engineering business leadership to design, drive, and deliver learning strategies that build critical technical capability, leadership depth, and future-ready skills. This role acts as a strategic partner to the business, ensuring learning directly enables business growth, delivery excellence, and talent readiness. Key Responsibilities Business Partnership & Strategy Partner with Data Engineering leaders to understand business priorities, capability gaps, and future skill needs. Translate business goals into structured learning roadmaps covering technical, leadership, and behavioral competencies. Develop and execute an AI capability-building roadmap for employees, aligned with business priorities and emerging technology trends. Act as a trusted advisor to leaders on talent development and skill readiness. Technical and Capability Development Design and curate learning interventions for Data Engineering roles. Leverage internal Subject Matter Experts (SMEs) and external partners to create high-impact, contextual learning programs. Ensure learning pathways are role-based, progressive, and aligned to career growth. Leverage AI tools for content design and development, and learning operations. Leadership and Behavioral Development Support the design and delivery of leadership development programs for technical and people leaders within the Data Engineering function. Embed skills such as communication, stakeholder management, execution excellence, and people leadership. Learning Governance and Effectiveness Define success metrics to measure learning effectiveness and business impact. Review learning outcomes through feedback from managers, mentors, and participants. Continuously refine programs based on data, feedback, and evolving business needs. Leverage Learning Management Systems (LMS) to track

About the Role OpenAI’s Industrial Compute organization is responsible for ensuring our compute infrastructure scales efficiently to support millions of users and increasingly sophisticated AI models. We’re looking for a Data Scientist to partner closely with Capacity Systems Engineering, Infrastructure, Product, and Research to optimize inference capacity across our global GPU fleet. This role combines statistical modeling, large-scale data analysis, forecasting, and systems thinking to drive critical decisions around infrastructure investments, performance-efficiency trade-offs, and customer experience. You’ll transform complex operational data into actionable insights that directly influence how OpenAI allocates and scales one of the world’s largest AI compute environments. Key Responsibilities Build statistical and machine learning models to profile and improve GPU utilization, latency, throughput, and overall fleet efficiency. Develop forecasting models for inference demand across products, regions, and model families. Analyze production workloads to identify latency bottlenecks and capacity constraints, highlighting optimization opportunities. Partner with Capacity Systems Engineering to inform infrastructure planning and long-term GPU investment strategies. Design experiments and simulations to evaluate scheduling policies, serving strategies, and infrastructure tradeoffs. Build dashboards and operational metrics that enable leadership to make data-driven capacity decisions. Collaborate with Product, Research, Finance, and Infrastructure teams to align compute planning with business growth and model roadmaps. Communicate technical findings clearly to both engineering teams and executive leadership. Qualifications MS or PhD in Statistics, Computer Science, Operations Research, Applied Mathematics, Economics, or related quantitative discipline (or equivalent industry experience). 5+ years of experience working in the infrastructure data science space. Strong ex

Datadog’s Partner Marketing Team is looking for a Partner Marketing Manager to drive strategic marketing initiatives supporting our channels and alliances function. In this role, you will support our LATAM region by executing marketing programs designed to increase partner engagement, generate leads, and expand awareness of Datadog’s solutions within LATAM’s partner ecosystem. This position offers a high-impact opportunity to collaborate with cross-functional teams and senior leadership while shaping Datadog’s presence in the cloud and channel marketplace. 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: Develop and execute regional partner marketing programs, including webinars, demand generation campaigns, enablement sessions, industry events, and social media initiatives to drive engagement. Execute co-marketing efforts with our cloud partners (Google Cloud, Amazon Web Services, Microsoft Azure) and our channel partners to position Datadog’s solutions effectively. Collaborate closely with alliances, global marketing, product marketing, and sales leadership to prioritize initiatives with the highest business impact. Work with our Channels and Alliances Sales teams to successfully promote and drive registration for upcoming events. Track and analyze the effectiveness of partner marketing initiatives, reporting on key performance metrics through internal and external quarterly OKRs to ensure continuous optimization. Who You Are: 4-6 years of experience working in marketing; partner marketing and/or high-tech B2B marketing preferred Demonstrated success in marketing roles that are external-facing Strong project management skills Ability to work cross-functionally with internal teams and feel comfortable interacting with and presenting to senior leade

Datadog AI Research — Scholars Program with Carnegie Mellon University Datadog AI Research (DAIR) is partnering with Carnegie Mellon University to support a small number of PhD students working on open research problems grounded by ongoing efforts at Datadog/DAIR. You will frame a problem, run your own experiments, and write up what you find, with compute and data at a scale most academic labs cannot provide. You will collaborate with colleagues working on the same questions. The Lab And The Research: DAIR is an industrial research lab motivated by practical challenges in observability and software operation: detecting and diagnosing failures, understanding complex production environments, and helping engineers operate software more effectively. The lab focuses on creating specialized foundation models, post-training and evaluating AI agents, and building frontier-scale machine learning systems. By combining fundamental research with Datadog's large-scale, real-world data and infrastructure, the lab develops new AI capabilities and translates them into practical systems with meaningful impact. Internship projects are shaped with your DAIR mentor and your CMU faculty advisor. You do not need prior experience with observability, monitoring, or infrastructure. What You'll Do: Own a research project end to end: framing the question, running the experiments, writing it up Work directly with a DAIR mentor engaged in the same problem, and stay connected to your advisor and lab Publish, and use the work toward your dissertation See research reach production, when it works Who You Are: Currently enrolled in a PhD program at Carnegie Mellon in machine learning, computer science, statistics, or a related field Depth in at least one area relevant to the research above Comfort running real experiments — training models, working with GPUs, reading and reimplementing recent papers Evidence you can do research: conference or workshop papers, preprin

The objective of this role is to assess legal risks in transactions and suggest risk mitigation strategies and provide legal advice and proactive support to the domestic, commercial and industrial retail business segments through daily inputs in the operations of the various retail business segment groups in that regard. The position is to actively provide support in drafting & negotiating contracts, Dispute resolution, workforce contracts, IPR issues and any other land and estate related issues. The position is also expected to support the Airports business segment with legal advice and actions as and when required Source: Adani Group | Job ID: 54949

As an Manager - Legal & Compliance in the Legal Department, you will play a pivotal role in supporting the organization’s legal framework, ensuring compliance, mitigating risks, and enabling smooth business operations. This role offers a unique opportunity to grow within a globally reputed conglomerate known for its ethical standards, sustainability focus, and commitment to community development. You will be exposed to various legal disciplines including corporate law, contract management, regulatory compliance, and dispute resolution, allowing you to develop a well-rounded skill set and a deep understanding of the business landscape. Source: Adani Group | Job ID: 57020

Razorpay is one of India’s leading full-stack financial technology companies, powering the way businesses move, manage, and grow money. Founded in 2014 by Harshil Mathur and Shashank Kumar with a simple vision - to simplify payments for Indian businesses - we’ve since grown into a fintech powerhouse driving India’s digital payment revolution. Razorpay powers millions of businesses with a smarter, scalable stack that goes beyond transactions to help them truly build and grow. From building AI-native agentic payments, to AI-assisted fraud detection and real-time risk intelligence to automated reconciliation, smart payouts, and predictive financial insights, we are embedding intelligence across our stack to make money movement faster, safer, and more efficient. In close collaboration with ecosystem partners - including banks, networks, regulators - we are pioneering industry-first solutions that are shaping the next era of fintech Across India, Singapore and Malaysia, our products span everything from seamless checkouts to payroll automation - powering a fintech ecosystem that’s redefining how money moves across Asia. Today, that ecosystem supports everyone from early-stage startups to some of India’s largest enterprises, enabling them to accept, process, and disburse payments at scale while expanding into new ways of managing money more efficiently. Our scale speaks volumes: Razorpay processes $180+ billion in annualized transactions, powering leading businesses like Airbnb, Facebook, WhatsApp, Airtel, CRED, BookmyShow, Zomato, Swiggy, Lenskart, Mirae Asset Capital markets, Indian Oil, National Pension Scheme - and over 100 of India’s unicorns. With strong roots in India and growing operations in Southeast Asia, we are shaping the next chapter of financial technology across the region. We are backed by global investors including GIC, Peak XV Partners (formerly Sequoia Capital India & SEA), Tiger Global, Ribbit Capital, Matrix Partners, MasterCard, and Salesforce V

About the Team OpenAI's Industrial Compute organization is building and scaling the infrastructure required to support frontier AI. The Infrastructure Strategic Sourcing team connects technical and project requirements to supplier readiness, contracting, purchasing, equipment delivery, and portfolio-level risk visibility across owner-furnished contractor-installed equipment (OFCI), data center networking, rack systems and integration, fiber, cabling, optical interconnects, and related infrastructure. The team partners across Pre-Construction, Design, Construction, Electrical and Mechanical Engineering, Network Engineering, Hardware and Rack Delivery, Strategic Sourcing, Procurement, Legal, Finance, Accounts Payable, Logistics, and external suppliers. We build the operating mechanisms that keep sourcing decisions, purchase execution, long-lead equipment, network and fiber dependencies, rack readiness, and delivery commitments aligned to infrastructure schedules. About the Role We are seeking an Infrastructure Sourcing Operations Lead to own procurement operations across pre-construction, design, construction, and sourcing through purchase order issuance, while maintaining visibility through invoice resolution, production, logistics, delivery, installation, and readiness. The portfolio includes electrical and mechanical OFCI, networking equipment, rack systems and integration, fiber, cabling, optical interconnects, and other infrastructure required to bring capacity online. In this role, you will set priorities, make or escalate decisions that affect cost, supplier relationships, contractual position, and delivery schedules, and define the standards used by execution support for queue management, documentation, tracker maintenance, and recurring reporting. Success requires sound commercial and program judgment, operational rigor, systems thinking, and the ability to turn incomplete information across vendors, tools, and project teams into clear decisions, accountable

Role Description As a Business Development Representative for Japan , you will support Dropbox’s Japan Sales organization by generating qualified pipeline, engaging target accounts, and helping Account Executives create new enterprise opportunities across Dropbox Business Enterprise, Dropbox Protect and AI solutions . You will play a crucial role in areas such as outbound prospecting, account research, stakeholder mapping, inbound qualification, event follow-up, and partner-supported pipeline generation. You will work closely with Account Executives to identify relevant business challenges, engage the right personas, and create clear handoffs that help move qualified opportunities into the sales cycle. This role is ideal for someone who is curious, resilient, highly organized, and motivated by creating opportunity. You will gain exposure to enterprise sales cycles, AI-enabled workplace transformation, content collaboration, security and governance conversations, and senior sales stakeholders. This is a strong development opportunity for someone looking to grow into a future Account Executive role . Responsibilities Generate qualified pipeline for Japan Account Executives through outbound prospecting, account research, personalized email, phone outreach, social selling, events, and partner motions. Follow up promptly with attendees from Dropbox-hosted seminars, webinars and other events while their interest is still fresh improving conversion from MQLs to sales-qualified opportunities. Identify and engage new buying centers within target and existing accounts, including IT, Security, Compliance, Operations, Procurement, and Line-of-Business stakeholders. Research target accounts to understand business priorities, trigger events, pain points, and relevant Dropbox use cases across Dropbox Business Enterprise, Dash, and Replay. Partner with Account Executives to build account maps, prioritize outreach, support territory planning, and create multi-threaded e

About the Role We’re seeking a Contract Recruiting Coordinator to join our team, focusing on supporting the logistics and coordination of the recruiting efforts for OpenAI. In this role, you will: Act as point of contact for candidates; coordinating, scheduling, and managing interviews as well as travel and accommodation arrangements when needed. Making sure everyone is in the right place at the right time. Use Ashby (our ATS) and relevant recruiting tools to stay organized and help keep our busy team on track. Work with our team to support OpenAI’s recruiting team. This will include supporting multiple functions, cross-training, hosting and scheduling support and completing assigned tasks. Handle high-volume global scheduling of interviews: phone screens, video conferencing, presentations and onsite interviews. Communicate updates to candidates regarding their applicant/interview status as needed. Develop strong candidate and stakeholder relationships (Hiring Managers, Recruiting, etc.) and maintaining effective communication channels. You might thrive in this role if you: Have 2+ years of experience in a fast paced recruiting coordinator position. Are passionate about candidate experience: we see our candidates as our guests, and we are their hosts. It is the coordinator's job to ensure a smooth experience. Are detail-oriented, highly organized, and able to multitask. An excellent communicator, both written and verbal. With an appropriate blend of professionalism and friendliness. Are self-directed with a high sense of urgency while maintaining a meticulous attention to detail. Anticipate possible issues before they arise and effectively problem-solves in advance. This includes independently making quick, educated decisions. Have ability to maintain a high degree of professionalism and a calm demeanor. Are willing to take initiative and have the confidence to keep interviews running on time and hold stakeholders accountable in order to maintain a positive candidat

About the Team We’re hiring Software Engineers to join our broader Infrastructure organization, which supports multiple high-impact teams. Depending on your interests and experience, you could work on one of several focus areas—including Core Distributed Systems, Reliability Engineering, Observability, Developer Productivity or Cloud Infrastructure. About the Role All teams are deeply collaborative, work on mission-critical services, and are responsible for building distributed, scalable infrastructure to bring OpenAI’s technology to the world through products like ChatGPT and the OpenAI API. You’ll work closely with stakeholders to understand infrastructure, data and compute needs, setting the technical strategy that supports cutting-edge research and product development. This is a critical role for someone who is passionate about solving complex engineering problems at scale, ensuring their performance, scalability and reliability Team Focus Areas Distributed Systems: Owning and building important, highly scalable, available, performant, and reliable distributed systems (and their building blocks) to power the entire stack at OpenAI Systems Engineering: Work across layers of the stack—debugging system bottlenecks, evolving core infrastructure, and solving novel problems in performance and scalability. Reliability Engineering: Build scalable, fault-tolerant systems and lead efforts around service health, incident response, and resilience. Observability: Design and maintain observability tooling (metrics, logs, tracing) to give teams visibility into production systems at scale. Developer Productivity: Create tools, environments, and workflows that help engineers ship high-quality software faster and more safely. Cloud Infrastructure: Own the cloud-native infrastructure (compute, networking, storage) that underpins all services and research workloads. Databases: Building high performance, distributed database systems that power all of OpenAI's product stack. In this