Strategic Finance Associate in India

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Digital Marketing Manager within Demand Creation Hub. About the job Twilio is experiencing significant growth, and we are seeking a dynamic and results-oriented Digital Marketing Manager to drive demand creation and acceleration for Twilio's CPaaS portfolio. Reporting to the Digital Marketing Director of APJ, you will be instrumental in designing and implementing the digital strategy focused on building pipelines across direct sales and self-serve motions. In collaboration with Campaign Management, Product Marketing and Sub-Regional Field Marketing teams, orchestrate the effective channel mix to amplify regional campaigns and targeted programs to generate quality demand, deepen engagements and drive growth. Responsibilities In this role, you’ll: Digital strategy: Collaborate with campaign team to orchestrate digital journey for amplification of Global/ Regional campaigns into target markets and audience

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Product Data Analyst (L3) About the job This position is needed to help uncover and deliver product data, analysis, and insights that empower stakeholders at all levels to maximize the impact of data in decision making. Our team is expanding to provide meaningful, data-backed insights from which to develop and grow our industry leading communications products.You will own analytics workstreams end to end from ambiguous problem statements to deliver insights in a fast moving environment. Responsibilities In this role, you’ll: End-to-End Analytics: Own complex projects from scoping ambiguous problems to delivering actionable, data-driven insights. Product Strategy: Partner with PMs to define metrics, build reporting dashboards, and inject data into product planning. Technical Execution: Apply SQL and visualization tools (Looker, Tableau) to translate complex data into clear stakeholder recommendations. Data Standardisation

About Bazaarvoice At Bazaarvoice, we create smart shopping experiences. Through our expansive global network, product-passionate community & enterprise technology, we connect thousands of brands and retailers with billions of consumers. Our solutions enable brands to connect with consumers and collect valuable user-generated content, at an unprecedented scale. This content achieves global reach by leveraging our extensive and ever-expanding retail, social & search syndication network. And we make it easy for brands & retailers to gain valuable business insights from real-time consumer feedback with intuitive tools and dashboards. The result is smarter shopping: loyal customers, increased sales, and improved products. The problem we are trying to solve : Brands and retailers struggle to make real connections with consumers. It's a challenge to deliver trustworthy and inspiring content in the moments that matter most during the discovery and purchase cycle. The result? Time and money spent on content that doesn't attract new consumers, convert them, or earn their long-term loyalty. Our brand promise : closing the gap between brands and consumers. Founded in 2005, Bazaarvoice is headquartered in Austin, Texas with offices in North America, Europe, Asia and Australia. It’s official: Bazaarvoice is a Great Place to Work in the US , Australia, India, Lithuania, France, Germany and the UK! The Human Resources function is responsible for providing human resources (HR) support to a major business unit or functional area. This includes any issues relating to talent acquisition, compensation and benefits, employee relations, training and development, and HR operations. The Analytics, Modeling, & Reporting area is responsible for analyzing and reporting on data sets for a particular area to evaluate, recommend and support the implementation of business strategies and operational processes. The Human Resources Information System (HRIS) and Reporting focus specializes

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. Senior UX Researcher Role Located out of: Bengaluru, Karnataka, India The Overview At Okta, we’re building a world where anyone can safely use any technology, and we’re specifically focused on protecting the future of work. We bring simple and secure access to people and organizations everywhere, promising to not only protect the identities of our workforce and users but to ask, “what more can we make possible?” As a Senior UX Researcher at Okta India, you will join a globally distributed research and design team, shaping customer experiences across the Access Management ecosystem. Your mission is to secure workforce access right from physical device bootup delivering frictionless, phishing resistant, and passwordless authentication across macOS, Windows,Linux, iOS, and Android platforms. In this role, you will lead end to end research initiatives, translating ambiguous product questions into actionable insights that directly influence long term strategy and near term product decisions across global Engineering, Product, and Design (EPD) teams. Finer Print You will join an AI first team of researchers and designers supported by leadership who fosters high autonomy, deep ownership, and a strong culture of craft. As part of Okta’s centralized Design & Research organization in Bengaluru, you will act as a key research anchor, working closely with cross functional partners in both India and the US to define problems, explore solutions, and drive impact. You

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. Senior Product Manager, Product Platform Company Overview Okta is The World’s Identity Company. We free everyone to safely use any technology - anywhere, on any device, for any app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth. Role Overview: Senior Product Manager, Product Platform This is a rare 0-to-1 opportunity to build a brand-new, high-visibility capability that touches every Okta customer: self-service visibility into subscription and license usage, delivered directly in the Admin Console. You’ll be responsible for building a modern, self-service experience that increases customer trust, unlocks new upsell and expansion motions, and sets the standard for how Okta communicates value to its largest accounts. You'll partner closely with Engineering, Field, Pricing & Packaging, and Product leadership to shape a capability with direct, measurable impact on customer retention and revenue growth. Key Responsibilities Orchestrate the long-term product vision and strategy for Okta's subscription usage and licensing visibility, ensuring the Admin Console roadmap scales with the breadth of Okta's customer base and product portfolio. Architect a self-service usage dashboard and reporting framework to ensure customers can seamlessly and securely track their

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

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

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 authenticates, authorizes and provisions millions of users a day. The service is hosted on Amazon Web Services (AWS) across multiple availability zones and geographically separated regions. The service is designed for high throughput, and 99.999 availability. We're looking for a technical leader to help us to continue to scale the service with great people and reliable, cost-effective and efficient infrastructure, processes and tooling. As the Director of Site Reliability Engineering you will oversee the SRE organization focused on Okta platform, Databases, Edge networking, K8s platform, CI/CD, Observability, FinOps, and automation platform & tooling. Job Duties and Responsibilities: Build and lead a high-caliber India-based SRE organization supporting Okta’s production fleet. Partner with global engineering, product, and infrastructure leaders to deliver resilient, scalable, and secure services. Define and execute the India SRE strategy in alignment with global reliability goals. Lead post-incident reviews, drive root-cause analysis, and ensure long-term corrective actions. Participate in incident management, on-call rotations, and blameless RCAs. Implement automation and observability to reduce manual toil and improve operational efficiency. Drive adoption of modern infrastructure practices: infrastructure as code (Terraform), container orchestration (Kubernetes), and AI within Infrastructure org. H

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The BizTech team at Airbnb is crucial to the company's operations, handling critical data related to compliance with Tax, Payments, and Legal regulations. We also manage application data for tools such as CRM, Jira, and Workday, which are essential for Airbnb’s business. Joining this team means working with cross-functional stakeholders, designing scalable solutions, and contributing to a world-class data engineering environment with an emphasis on quality, scalability, and robust engineering practices. The Difference You Will Make: We are looking for a hands-on expert to provide technical leadership in addressing BizTech’s diverse data engineering needs and driving long-term strategies and best practices. This key leadership role requires strong collaboration and influence across teams. You'll play a crucial role in understanding business needs, identifying the right data sources, designing efficient data models, and building reliable, scalable data pipelines. As technology continues to evolve, you'll help shape and maintain significant parts of BizTech’s critical data ecosystem. Your contributions will not only address complex business challenges but also help refine and advance Airbnb’s Data Engineering Paved Path, benefiting the entire data community at Airbnb. We believe in solving problems and contributing back to our data community to continuously improve. A Typical Day /Responsibilities: Lead the design, implementation, and testing of data systems, from architecture to production. Build batch and real-time data systems that support business needs and critical products. Ensur

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. About the Role: Smartsheet is looking for a Field Marketing Specialist to join our Global Field & Partner Marketing Center of Excellence (COE) in India. This role provides centralized program execution and operational support to our Field Marketing Managers (FMMs) and Partner Marketing leads across North America, handling the repeatable, detail-intensive work that keeps regional campaigns, events, and partner programs running smoothly. You will work behind the scenes on tracking, reporting, and coordination so that regional field marketers can stay focused on strategy and stakeholder relationships. You will partner closely with FMMs and Partner Marketing Managers day-to-day. This is a strong fit for someone who enjoys structured execution, has an eye for detail, and wants to build broad exposure to field and partner marketing operations. This role will report directly to the Marketing COE Director with a matrixed accountability to the Field Marketing Manager Team across North America. You Will: ● Support execution of regional campaigns and events by maintaining trackers, timelines, and status updates in Smartsheet. ● Assist Field Marketing Managers with logistics coordination for regional events, webinars, and partner programs (venue/vendor tracking, registration monitoring, follow-up tasks). ● Maintain and update pipeline and performance of programs to support AQL/TQL/SAO reporting for regional reviews. ● Help build and format recurring reporting materials including PowerPoint recap decks, Excel summaries, and e

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and enterprise capabilities that accelerate our global growth, profitability, and scale. As we expand Smartsheet India, we're searching for talented and motivated Principal Software Engineers with expertise in Identity and Access management who are passionate about continuous learning and eager to grow along with us in a fast-paced, innovative environment. You Will Lead the design and implementation of Smartsheet's next-generation architecture, ensuring scalability, security, and performance for millions of global users. Define and drive architecture strategy, making key technical decisions that shape the future of the platform. Architect and evolve Smartsheet's Identity and Access foundation — spanning authentication, authorization, and identity lifecycle — ensuring it scales securely across enterprise, multi-entity, and regulated environments. Craft and drive the strategy for Agentic Identity, defining how AI agents authenticate, are authorized, and are audited across the platform, and establishing identity patterns for agent-to-service and agent-on-behalf-of-user flows. Review and guide technical project designs, providing feedback during design review presentations to ensure system resilience and scalability. Take ownership of cross-functional technical initiatives, aligning teams around common architectural goals while driv

Job Summary 1. Arranging appointments with doctors, pharmacists and hospital medical teams, which may include pre-arranged appointments or regular 'cold' calling. 2. Making presentations to doctors, practice staff and nurses in GP surgeries, hospital doctors and pharmacists in the retail sector. Presentations may take place in medical settings during the day, or may be conducted in the evenings at a local hotel or conference venue. 3. Organizing conferences for doctors and other medical staff; building and maintaining positive working relationships with medical staff and supporting administrative staff. 4. Managing budgets (for catering, outside speakers, conferences, hospitality, etc.) 5. Keeping detailed records of all contacts. 6. Reaching (and if possible exceeding) annual sales targets. 7. Planning work schedules and weekly and monthly timetables. This may involve working with the area sales team or discussing future targets with the area sales manager. Generally, medical sales executives have their own regional area of responsibility and plan how and when to target health professions. 8. Regularly attending company meetings, technical data presentations and briefings. 9. Keeping up to date with the latest clinical data supplied by the company, and interpreting, presenting and discussing this data with health professionals during presentations. 10. Monitoring competitor activity and competitors' products; maintaining knowledge of new developments in the National Health Service (NHS), anticipating potential negative and positive impacts on the business and adapting strategy accordingly

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The BizTech team at Airbnb is crucial to the company's operations, handling critical data related to compliance with Tax, Payments, and Legal regulations. We also manage application data for tools such as CRM, Jira, and Workday, which are essential for Airbnb’s business. Joining this team means working with cross-functional stakeholders, designing scalable solutions, and contributing to a world-class data engineering environment with an emphasis on quality, scalability, and robust engineering practices. The Difference You Will Make: We are looking for a hands-on expert to provide technical leadership in addressing BizTech’s diverse data engineering needs and driving long-term strategies and best practices. This key leadership role requires strong collaboration and influence across teams. You'll play a crucial role in understanding business needs, identifying the right data sources, designing efficient data models, and building reliable, scalable data pipelines. As technology continues to evolve, you'll help shape and maintain significant parts of BizTech’s critical data ecosystem. Your contributions will not only address complex business challenges but also help refine and advance Airbnb’s Data Engineering Paved Path, benefiting the entire data community at Airbnb. We believe in solving problems and contributing back to our data community to continuously improve. A Typical Day /Responsibilities: Lead the design, implementation, and testing of data systems, from architecture to production. Build batch and real-time data systems that support business needs and critical products. Ensur

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. Job Overview: We are looking for a Senior Engineer to join the FGA DevEx team and help evolve our end to end developer experience across both OSS and SaaS. This team owns the SDKs in Go, JavaScript, .NET, Python, Java and other languages, along with CLI workflows, IDE integrations, GitHub automation, developer documentation, and release strategy. All development is done in the open as open source, and we actively welcome and review community contributions. Our guiding principle is One developer experience, many deployment models. As a Senior Engineer, you will take ownership of significant portions of the SDK and tooling ecosystem, ensure high quality implementations across languages, and contribute to a consistent and reliable developer experience. Responsibilities: Maintain and enhance existing SDKs for FGA DevEx in Go, JavaScript, .NET, Python, and Java, leveraging our SDK generator framework. Customize and refine SDK templates and wrappers to ensure consistency across languages and support configuration overrides such as store ID, authorization model ID, headers, and parallelization limits. Implement and improve core SDK features including client credentials authentication flows, robust error mapping, retry logic with jitter, and rate limiting safeguards. Implement advanced capabilities such as BatchCheck, ListRelations, and non transactional write operations with appropriate parallelization and performance considerations. Contribute to the SDK generato