Internal Communications Jobs

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions. We tackle a wide range of challenges - from shaping long-term business strategy with data, to making critical short-term decisions, to developing algorithms and models that power both internal systems and customer-facing products. Driver Incentives Science owns the algorithms and systems behind incentive design, influencing driver engagement and marketplace efficiency — from real-time supply positioning to longer-horizon earnings and engagement programs. The team is responsible for designing pay and incentive mechanisms that are efficient and good for driver experience over the long run. As a Data Scientist specializing in Algorithms, you'll partner closely with product, engineering, and operations leaders to build and scale incentive systems, shape long-term mechanism design strategy, and deliver on critical business goals tied to marketplace efficiency and driver earnings. Candidates with strong optimization backgrounds — think mathematical programming, control theory, or operations research — are a great fit, though we welcome strong candidates from machine learning or causal inference as well. The ideal candidate thrives in a fast-paced environment and brings a hands-on, entrepreneurial mindset to drive results. Responsibilities: Collaborate with engineering and product teams to design, implement, and iterate on new features and algorithmic improvements for driver incentives and pay mechanisms. Design, develop, and deploy optimization models, algorithms, and systems for problems such as budget allocation, multidimensional cost-curve development, and incentive targeting. Write production model code; collabor

Who we are About the team Financial Connections is Stripe's open banking platform, enabling businesses to securely access consumer-permissioned financial data. Our platform connects to thousands of financial institutions, powering use cases from account verification to risk assessment to personal financial management. Across the Financial Connections Engineering org, we focus on delivering high-quality, enriched bank data at scale — building the ML systems that transform raw financial data into actionable signals for both internal Stripe teams and external merchants. Our ML work spans transaction categorization, risk scoring, data enrichment, and the development of intelligent systems that improve data quality across our network. We operate at the intersection of fintech infrastructure and applied machine learning, solving problems that directly impact Stripe's ability to serve millions of businesses and consumers. What you'll do We're looking for machine learning engineers who want to build intelligent systems that provide financial data at scale. You'll play a key role in designing, training, and deploying ML models that improve the quality, accuracy, and usefulness of financial data across Stripe's ecosystem. Responsibilities Design, build, train, evaluate, deploy, and own ML models in production that improve transaction categorization, risk scoring, and data enrichment across Financial Connections Design and build large-scale ML systems that operate on diverse financial data from thousands of institutions Experiment and iterate on ML models (using tools such as PyTorch, TensorFlow, XGBoost) to achieve key business goals around data quality and accuracy Develop pipelines and automated processes to train and evaluate models in offline and online environments Integrate ML models into production systems and ensure their scalability and reliability Collaborate with product, data science, and engineering partners across Stripe to identify opportunities where ML can im

NVIDIA is looking for an experienced software engineer with infrastructure experience to become a senior member of the Cloud Foundations Automation - Development Team. We build and manage the automation ecosystem supporting NVIDIA's GPU Cloud and NVIDIA SuperPod deployments. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most hard-working and dedicated people on the planet working for us. If you're creative and autonomous, we want to hear from you! What you'll be doing: Developing software to enable efficient network design, deployment and day 2 management. Building product focused software solutions, used by internal and external customers. Helping us as we transform our workflows and organization into a centrally orchestrated configuration management framework, operating at scale across geographies. Owning and driving integrations with various service APIs such as Cloud Service Providers, to automate creation of environments and auto populate data sources in turn. Building on open source software, designing and implementing data structures and UI interfaces to automate processes from equipment purchase to device config generation to deployment to operations. Streamlining deployment mechanisms and life cycle operations Developing modern service architectures around streaming data and event pipelines. Working with infrastructure domain experts on true, zero touch deployment solutions and utilizing best of breed high performance computing management solutions. Be a proactive problem solver, looking out for new opportunities to improve our services and customer experience. Communicate readily with your peers across the organization, b

Citi's Markets Quantitative Analysis (MQA) group is seeking a highly skilled VP Quantitative Analyst to join its Equities team. This role is central to the research, design, implementation, and maintenance of cutting-edge Equities Execution Algorithms for Citi's clients and internal trading desks, with a specific focus on North America and LATAM markets. This position offers a unique opportunity to apply strong quantitative, technical, and soft skills to foster innovation within a collaborative team culture, directly impacting trading businesses, control functions, and the global client base. Key Responsibilities Algorithmic Development & Enhancement: Design and develop new algorithms and strategies for the next generation equity trading platform initiative at Citi. Research, design, and implement improvements for existing algorithmic trading strategies (e.g., VWAP, liquidity seeking). Develop and enhance quantitative models, including optimal schedule, market impact models, and short-term predictive signals (e.g., fair value). Implement algorithm enhancements and customizations with production-quality code, applying best practices for modular, reusable, and robust trading components. Data Analysis & Modeling: Perform in-depth analysis of large datasets comprising market data, orders, executions, and derived analytics. Apply statistical modeling and machine learning techniques for data analysis and signal generation. Conduct flow analysis and performance tuning for various client flows. Provide data and analysis to support initial model validation and ongoing performance analysis. Collaboration & Support: Collaborate closely with traders, risk managers, product, sales, and technology teams to integrate quantita

We are seeking an experienced IT/Lab Manager to lead the planning, deployment, and operations of our physical lab environment and IT systems. This role will focus on building and maintaining scalable, reliable, and secure environments to support engineering teams involved in research, quality assurance, validation, and related activities. It will also support internal collaborators. You will have an outstanding opportunity to drive innovation in a multidimensional, technology-focused company that is crafting the future of data-center and lab technologies. If you bring perfection and creative thinking while solving issues as they arise, and enjoy working with distributed teams – your place is with us! What You’ll Be Doing: Own day-to-day operations, planning, and roadmap for the engineering lab and IT infrastructure (servers, storage, networking, and related services). Lead and mentor an IT/Lab team, driving guidelines, standards, and a culture of ownership, partnership, and continuous improvement. Collaborate closely with R&D, QE, Verification, and other engineering teams to design, provision, and maintain environments that meet their performance, reliability, and security needs. Lead all aspects of running data center and lab operations, including rack layout, cabling, power and cooling, hardware lifecycle, and resource availability. Lead procurement and vendor management for hardware, software, and services, including evaluation, negotiation, and ongoing relationship management. Implement and maintain automation for system provisioning, configuration, and operations using tools such as shell/Perl/Ansible. Design and maintain monitoring, logging, and alerting for servers, network, and storage systems to ensure high availability and rapid incident response. Investigate and resolve sophisticated infrastructure issues across OS, networking, storage, virtualization, and appli

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s an outstanding legacy of innovation that’s fueled by phenomenal technology – and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are seeking a Senior Site Reliability Engineer – Storage, you will own the reliability, performance, and scalability of our global NAS, SAN, and Object Storage platforms that power critical internal and external services. You will combine deep storage expertise with strong automation and SRE practices to design, build, and operate highly available storage systems at scale. What You Will Be Doing: Lead design, deployment, and operations of production NAS, SAN, and Object Storage platforms, ensuring reliability, performance, and security. Capture requirements from partner teams, architect storage solutions, and drive end‑to‑end implementation for new and existing services. Develop, maintain, and improve automation for provisioning, configuration, monitoring, incident response, and lifecycle management of storage infrastructure. Participate in on‑call and incident response, lead troubleshooting of complex storage and performance issues, and drive root cause analysis and preventive actions. Define and track SLOs/SLIs and error budgets for storage services, using observability and analytics to continuously improve reliability and efficiency. Build and maintain runbooks, standard operating procedures, and comprehensive documentation for storage services and automation.<

The OT Cybersecurity Lead is responsible for leading the cybersecurity efforts for the organization’s Operational Technology (OT) systems. This includes designing, implementing, and managing the OT cybersecurity strategy to protect critical infrastructure, industrial control systems (ICS), and other OT assets. The role requires deep expertise in OT security, understanding the unique needs and risks associated with industrial systems, and the ability to coordinate and collaborate with various internal and external stakeholders to secure these systems. Source: Adani Group | Job ID: 50475

About the Team We are a small and fast-moving partnerships team that shapes and executes OpenAI’s most important collaborations. Your mission is to define and lead the strategy, roadmap, operating model, and growth of OpenAI’s B2B marketplace. You will build the scalable foundation through which customers discover, evaluate, adopt, and manage trusted third-party solutions built on and with OpenAI’s models. About the Role You are a senior marketplace and ecosystem leader with strong judgment, high ownership, and a track record of building scaled B2B platforms. You are comfortable moving between product design, commercial strategy, ecosystem development, and operations, and you can create clarity where there is no playbook. You bring the credibility to align senior internal and external stakeholders while moving quickly and executing at a high bar. Key Responsibilities Define the vision, strategy, roadmap, and success metrics for OpenAI’s marketplace. Own marketplace business performance across partner supply, customer demand, adoption, transaction volume, partner success, solution quality, and customer trust. Partner closely with product and engineering to shape discovery, listing, evaluation, procurement, billing, deployment, identity, governance, security, and measurement capabilities. Build a high-quality ecosystem of ISVs, developers, service providers, and other third-party solution partners. Design marketplace commercial models, policies, incentives, and partner economics with finance, legal, security, policy, and operations. Create scalable go-to-market motions across sales, co-sell, private offers, marketing, and customer success. Establish standards for solution quality, safety, compliance, performance, and lifecycle management. Build and lead the marketplace team and operating cadence, aligning cross-functional owners against clear priorities and outcomes. Qualifications 15+ years of experience in marketplaces, platforms, ecosystems, product, partnerships,

We are seeking a highly skilled and experienced Senior Accounts Receivable Analyst to join our Revenue Team. The ideal candidate will have a strong background in accounts receivable, exceptional analytical abilities, and a keen attention to detail. This role will be responsible for managing a book of business and addressing internal and external concerns via email and Zendesk. Partnering with internal stakeholders such as Customer Success, Revenue and Sales, you will assist in resolving Billing disputes. Senior Accounts Receivable Analysts have the opportunity to grow their careers in Finance and continue contributing to Datadog team success. 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: Manage the accounts receivable collections process for assigned book of business Analyze customer payment patterns and aging reports to identify trends and potential issues Collaborate with internal teams to resolve billing discrepancies and disputes in a timely manner Manage incoming billing inquiries and collectability concerns through Zendesk. Triage accordingly to Revenue, Sales, and Customer Success teams and to drive collections Develop and maintain effective relationships with clients to facilitate prompt payment and resolve outstanding balances Help customers understand their bills, which vary with usage and plan type Assist with external audit, compliance and special projects as necessary Provide guidance and mentorship to junior members of the accounts receivable team. Who You Are: Bachelor's degree in accounting or equivalent required 5+ years of full cycle Accounts Receivable / Billing Operations experience Proficiency in Microsoft Excel required Ability to work independently, with a strong work ethic, self-motivation and problem-solving skills Attent

As an Enterprise Customer Success Manager, you will proactively drive new product attachment and effective strong relationships across our largest and most strategic customers. You’ll advocate for the customer internally and focus on a positive customer experience. Interactions are rooted in relationship-management, first and foremost, while also advocating for growth opportunities. Enterprise Customer Success Managers follow a well-defined methodology that helps them identify the customer's unique needs and clearly convey the value of the Datadog product. 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: Act as a strategic partner to customers, orchestrating cross-functional internal teams and engaging executive, technical, and business stakeholders to understand customer goals and translate them into a clear, deliverable Datadog value narrative. Proactively build and maintain executive relationships to deliver clear, outcome-driven value stories that connect Datadog technical use cases to measurable business results. Lead QBRs and strategic reviews as a forum to demonstrate impact, align on priorities, and define next-step initiatives. Analyze adoption and usage trends to quantify value delivered, extract insights from large datasets, identify gaps, and drive financially grounded commercial recommendations and strategic opportunities. Position Datadog as a critical observability platform that enables reliability, efficiency, and informed decision-making. Own and project manage the on-boarding process for new customers Collaborate cross-functionally with AEs, SEs, TAM, Product, Support, Enablemen and other technical teams to ensure consistent value delivery and messaging. Who You Are: Customer-centric with 3+ years in a Customer Success

Position: Assistant Professor Master of Business Administration (MBA) Department: Management Studies Location: College Campus Key Responsibilities Deliver lectures and practical sessions in MBA subjects such as Marketing, Finance, Human Resource Management, Operations, Business Analytics, and Entrepreneurship. Prepare lesson plans, teaching materials, assignments, case studies, and assessments. Mentor students in academic projects, internships, seminars, and research activities. Evaluate student performance through assignments, presentations, internal assessments, and examinations. Organize workshops, guest lectures, industry visits, and management development programs. Participate in curriculum development, accreditation activities, and departmental administration. Encourage research, innovation, entrepreneurship, and industry collaboration. Perform academic and administrative responsibilities assigned by the Head of Department. Eligibility Qualification: MBA/PGDM with First Class in the relevant specialization from a recognized university or institution. Ph.D. is preferred as per applicable AICTE/UGC norms.

Position: Assistant Professor M.Pharm Department: Pharmacy Location: College Campus Key Responsibilities Deliver lectures and practical sessions for M.Pharm students in the relevant specialization. Prepare lesson plans, course materials, laboratory manuals, assignments, and assessments. Guide postgraduate students in research projects, dissertations, seminars, and publications. Conduct laboratory sessions and ensure the proper maintenance of laboratories and equipment. Evaluate student performance through assignments, practicals, internal assessments, and examinations. Participate in curriculum development, accreditation activities, and departmental administration. Promote research, innovation, grant applications, and collaboration with the pharmaceutical industry. Perform academic and administrative responsibilities assigned by the Head of Department. Eligibility Qualification: M.Pharm in the relevant specialization from a PCI/AICTE-recognized institution. Ph.D. is preferred as per applicable regulatory norms.

Greetings! We are a MNC & looking for a few smart female candidates for "Receptionist cum Personal Assistant" roles across various locations: Hyd, B'lore, Mysore, Mangalore, Chennai. Responsibilities: Act as the point of contact between the manager and internal/external clients Screen and direct phone calls and distribute correspondence Handle requests and queries appropriately Manage diary and schedule meetings and appointments Make travel arrangements Take dictation and minutes Source office supplies Produce reports, presentations and briefs Devise and maintain office filing system Frequently act as a Receptionist Min 12th pass (Graduates will be preferred). High Salary + Accommodation + Medical + PF + Corporate Incentives. Please apply with biodata soon. (Computer knowledge is preferred.) Best, HR

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 Stripe’s People Systems Team sits at the intersection of technology and human experience. We are internal consultants who turn ambiguity into scale. Part of the People Solutions org, we partner with Corporate Technology, Finance, Payroll, the wider People team including Total Rewards & Benefits teams to build a world-class employee experience. We are a "strategy-first, quality- execution-always" team that values technical rigor, nimble problem-solving, and a deep empathy for the Stripes we serve. What you’ll do As a Senior Workday Analyst, Payroll, you'll be a technical anchor for our Workday ecosystem and a driver of what's next for it. This role goes beyond keeping the lights on: you'll bring new Workday feature knowledge into the team, help automate manual payroll processes, and shape how we use emerging Workday capabilities (including AI-driven and agent-based tools) to modernize our payroll operations. You'll own the technical health of our Workday Payroll environments for Workday in-house payrolls, balancing critical keep-the-lights-on (KLTO) operations with high-impact strategic projects. You'll also act as a bridge to our broader tech stack, supporting HRIS tools built on top of Workday and partnering with Payroll and other internal and external stakeholders for smooth data flow and a unified user experience. Payroll partnership and delivery Partner with Payroll: Act as the primary technical partner for the Payroll team, tran

About the team OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. In support of that mission, the ChatGPT Ads team is building advertising products that help businesses reach customers in useful, trusted, and responsible ways. The Ads Strategy, Planning, and Operations team is responsible for building the operating foundation for OpenAI’s advertising business: GTM systems, segmentation, coverage, planning, forecasting, business rhythms, sales programs, incentives, and scalable execution across advertisers, agencies, partners, resellers, and internal teams. This team sits at the intersection of Sales, Product, Engineering, Finance, Legal, Policy, Marketing, Partnerships, and Customer Success. About the role We’re looking for a Reseller & Ecosystem Programs Lead to build the ChatGPT Ads reseller program from the ground up and design ecosystem programs that accelerate advertiser adoption, partner productivity, and revenue growth. This role will define how OpenAI works with resellers and ecosystem partners across the Ads business: who we partner with, what motions they own, how they are enabled, how performance is measured, and how incentives should work. The ideal candidate has built reseller, channel, partner, or ecosystem programs in digital advertising, media, adtech, marketplace, or platform businesses and knows how to balance growth, control, customer experience, and platform integrity. In this role, you’ll: Design and build the ChatGPT Ads reseller program, including partner segmentation, eligibility criteria, commercial model, operating model, onboarding, governance, and performance management. Define the role of resellers and ecosystem partners across customer acquisition, activation, spend growth, market expansion, support, and scaled coverage. Develop partner coverage and engagement models across advertisers, agencies, resellers, outsourced sellers, and other ecosystem participants. Partner with Sales, Partnership