About the Team

Roku pioneered TV streaming and continues to innovate and lead the industry. Continued success relies on investing in the Roku Content Platform, so we deliver high quality streaming TV experience at a global scale. As part of our Content Platform team you join a small group of highly skilled engineers, that own significant responsibility in crafting, developing and maintaining our large-scale backend systems, data pipelines, storage, and processing services. We provide all insights in regard to all content on Roku Devices. 

About the Role

We are looking for a Senior Software Engineer with vast experience in backend development, Data Engineering and Data Analytics to focus on building next level content platform and data intelligence, which empowers Search, Recommendation, and many more critical systems across Roku Platform. This is an excellent role for a senior professional who enjoys a high level of visibility, thrives on having a critical business impact, able to make critical decisions and is excited to work on a core data platform component which is crucial for many streaming components at Roku.

What You’ll Be Doing

• Work closely with product management team, content data platform services, and other internal consumer teams to contribute extensively to our content data platform and underlying architecture.
• Build low-latency and optimized streaming and batch data pipelines to enable downstream services.
• Build and support our Micro-services based Event-Driven Backend Systems & Data Platform.
• Design and build data pipelines for batch, near-real-time, and real-time processing.
• Participate in architecture discussions, influence product roadmap, and take ownership and responsibility over new projects.

We’re excited if you have

• 8+ years professional experience as a Software Engineer.
• Proficiency in Java/Scala/Python.
• Deep understanding of backend technologies, architecture patterns, and best practices, including microservices, RESTful APIs, message queues, caching, and databases.
• Strong analytical and problem-solving skills, data structures and algorithms, with the ability to translate complex technical requirements into scalable and efficient solutions.
• Experience with Micro-service and event-driven architectures.
• Experience with Apache Spark and Apache Flink.
• Experience with Big Data Frameworks and Tools: MapReduce, Hive, Presto, HDFS, YARN, Kafka, etc.
• Experience with Apache Airflow or similar workflow orchestration tooling for ETL.
• Experience with cloud platforms: AWS (preferred), GCP, etc.
• Strong communication and presentation skills.
• BS in Computer Science; MS in Computer Science preferred.
• AI literacy and curiosity.You have either tried Gen AI in your previous work or outside of work or are curious about Gen AI and have explored it.

#LI-SJ1

About the team

• ML infrastructure: Help build a first-class machine learning platform from the ground up which manages the entire model lifecycle - feature engineering, model training, versioning, deployment, online serving/evaluation, and monitoring prediction quality.
• Data analysis and feature engineering: Apply your expertise to identify and generate features that can be leveraged by multiple use cases and models.
• Model training with batch and real-time prediction scenarios: Use machine learning and statistical modelling techniques such as Decision Trees, Logistic Regression, Neural Networks, Bayesian Analysis and others to develop and evaluate algorithms for improving product/system performance, quality, and accuracy.
• Production operations: Low-level systems debugging, performance measurement, and optimisation on large production clusters.
  Collaboration with cross-functional teams: Partner with product managers, data scientists, and other engineers to deliver impactful solutions.
  Staying ahead of the curve: Continuously learn and adapt to emerging technologies and industry trends.

• Bachelors, Masters, or PhD in Computer Science, Statistics, or a related field.
• Experience in applied machine learning on real use cases (bonus points for ad tech-related use cases). Min 5 years of total experience.
• Great coding skills and strong software development experience (we use Spark, Python, Java).
• Familiarity with real-time evaluation of models with low latency constraints.
• Familiarity with distributed ML frameworks such as Spark-MLlib, TensorFlow, etc.
• Ability to work with large scale computing frameworks, data analysis systems, and modelling environments. Examples include Spark, Hive, NoSQL stores such as Aerospike and ScyllaDB.
• Ad tech background is a plus.
• AI growth mindset / AI Literacy
  
  
  

About the team 

A reliable, privacy-safe, and scalable data foundation is critical to Roku’s rapidly growing advertising business. The Ad Data Activation organization builds the identity systems, device graph pipelines, audience platforms, insights tooling, and data collaboration capabilities that power targeting, measurement, and reporting across Roku Ads. 

We are hiring a Senior Machine Learning Engineer to help drive intelligence across these systems. You will work at the intersection of large-scale data platforms, applied machine learning, and generative AI — building capabilities that make Roku's advertising data more actionable for internal teams and advertisers. This includes building core generative AI platform features for Roku Advertising, while also applying traditional ML techniques to improve accuracy, automation, and decisioning across the ecosystem. If you enjoy working across data, ML, and new Gen-AI patterns — and want to shape how intelligence shows up inside Roku Ads — this role is for you. 

About the role 

In this role, you will design, build, and productionize intelligent capabilities that combine agentic Gen-AI systems with conventional ML pipelines across identity resolution, audience modeling, attribution, and optimization workflows. You will work with massive datasets, develop pipelines that transform raw signals into actionable features, and partner closely with product, data science, and platform teams. 

What you will be doing 

• Develop scalable and effective ML models and data pipelines to power identity, graph enrichment, audience segmentation, and campaign performance intelligence 

• Design and run experiments, measure impact, and translate results into product decisions and customer outcomes 

• Build and productionize agentic, generative-AI features — including reporting and insights agents, campaign-monitoring agents (with human-in-the-loop controls), and a semantic layer for reliable, natural-language analytics 

• Improve automation, reliability, and scalability across model training, feature engineering, deployment, and monitoring frameworks 

• Work closely with software and ML engineers to deliver end-to-end solutions from data ingestion through downstream systems 

• Partner with senior stakeholders to shape ML and Gen-AI strategy for Ad Data Activation — identifying the right problems for AI, ensuring safety, and driving advertiser productivity. 

We’re excited if you have 

• 5+ years of experience applying ML or data science to real business problems at scale 

• Master’s degree (or higher) and 4+ years of experience in CS, CE, ML, or a related field 

• Strong CS fundamentals and ability to design efficient algorithms and production systems 

• Experience with ML approaches used in large-scale data problems (e.g., regression, classification, tree-based methods, embeddings, sequence models, or basic NLP) 

• Strong intuition for defining KPIs, objective functions, and evaluation frameworks for ML-driven systems 

PREFERRED QUALIFICATIONS 

• Knowledge of programming languages such as Python, Scala/Java, C/C++, or similar 

• Experience working with large-scale data platforms (Spark, Presto/Trino, feature stores, data lakes, etc.) 

• Experience building or integrating with LLM/Gen-AI pipelines (prompting, evaluation, retrieval, safety) is a plus 

• Prior publications, patents, or open-source contributions are a plus 

About the team

Roku runs one of the largest data lakes in the world. We store over 70 PB of data, run 10+M queries per month, scan over 100 PB of data per month. 
Big Data team is the one responsible for building, running, and supporting the platform that makes this possible. We provide all the tools needed to acquire, generate, process, monitor, validate and access the data in the lake for both streaming data and batch. We are also responsible for generating the foundational data. The systems we provide include Scribe, Kafka, Hive, Presto, Spark, Flink, Pinot, and others. The team is actively involved in the Open Source, and we are planning to increase our engagement over time. 

About the Role 

Roku is in the process of modernizing its Big Data Platform. We are working on defining the new architecture to improve user experience, minimize the cost and increase efficiency. Are you interested in helping us build this state-of-the-art big data platform? Are you an expert with Big Data Technologies? Have you looked under the hood of these systems? Are you interested in Open Source? If you answered “Yes” to these questions, this role is for you! 

What you will be doing 

• You will be responsible for streamlining and tuning existing Big Data systems and pipelines and building new ones. Making sure the systems run efficiently and with minimal cost is a top priority 
• You will be making changes to the underlying systems and if an opportunity arises, you can contribute your work back into the open source 
• You will also be responsible for supporting internal customers and on-call services for the systems we host. Making sure we provided stable environment and great user experience is another top priority for the team 

We are excited if you have 

• 10+ years of production experience building big data platforms based upon Spark, Trino or equivalent 
• Strong programming expertise in Java, Scala, Kotlin or another JVM language. 
• A robust grasp of distributed systems concepts, algorithms, and data structures 
• Strong familiarity with the Apache Hadoop ecosystem: Spark, Kafka, Hive/Iceberg/Delta Lake, Presto/Trino, Pinot, etc. 
• Experience working with at least 3 of the technologies/tools mentioned here: Big Data / Hadoop, Kafka, Spark, Trino, Flink, Airflow, Druid, Hive, Iceberg, Delta Lake, Pinot, Storm etc 
• Extensive hands-on experience with public cloud AWS or GCP 
• BS/MS degree in CS or equivalent
• AI Literacy /AI growth mindset

About the team

Roku pioneered streaming to the TV and continues to innovate and lead the industry. While we are well-positioned to help shape the future of television – including TV advertising – around the world, continued success relies on its investment in our machine learning capabilities. Roku offers millions of options to our users: movies, episodes, news, sports, and channels from all around the world. The Roku Content Platform is key to onboarding content into the Roku ecosystem, delighting our customers. Building a content knowledge platform that provides insights to downstream systems like Search, Recommendations, Ads, and Voice to shape customers' experiences is why we’re actively looking for a Senior Machine Learning / AI Engineer, Content Platform who can drive further innovation.

About the role

Roku pioneered streaming to the TV and continues to innovate and lead the industry. While we are well-positioned to help shape the future of television – including TV advertising – around the world, continued success relies on its investment in our machine learning capabilities.

Roku offers millions of options to our users: movies, shows, news, sports, and channels from all around the world. The Roku Content Platform is key to onboarding content into the Roku ecosystem, delighting our customers. Building a content knowledge platform that provides insights to downstream systems like Search, Recommendations, Ads, and Voice to shape customers' experiences is why we’re actively looking for a Senior Machine Learning / AI Engineering Manager who can drive further innovation.

The person in this role will leverage their technical skills, business intuition, and analytical thinking to build best-in-class machine learning products. This includes integrating Generative AI capabilities and Vision Models to enrich content quality and user engagement. This is a role for a hardened ML practitioner and a highly skilled organizational leader. You will be the architectural and operational bridge between deep AI research and fast-paced product delivery. If you know how to build a 3-year vision for content discovery and translate it into 2-week shipping cycles, this is your team.

What you’ll be doing

• Vision & Strategy: Define the roadmap for ML within the Content Platform..
• Technical Leadership: Provide high-level guidance on model architecture and MLOps infrastructure to ensure models are scalable and production-ready.
• People Management: Lead and grow a high-performing team of ML Engineers. You will be responsible for career development, performance management, and maintaining a culture of rigorous experimentation.
• Cross-Functional Execution: Partner with Product, Engineering, and Content Strategy to align ML initiatives with business goals.
• Delivery: Champion a culture of incremental delivery. Balance long-term R&D with the need to deliver measurable improvements to the production environment.

We’re excited if you have

• 10+ years of total experience in software/ML engineering, with at least 5 years in a dedicated people management leadership role.
• MS or BS in Computer Science, Mathematics, or a related quantitative field.
• You possess a deep theoretical and practical understanding of Machine Learning. 
• You understand the business of streaming and how ML directly impacts the bottom line.
• You can explain complex model to a non-technical executive just as easily as you can debate architecture with a seasoned engineer.
• Proven track record of deploying large-scale ML models into production environments.
• Experience with modern ML stacks (e.g., LLMs, PyTorch, TensorFlow, Spark, and cloud-native MLOps tools).

Roku is the #1 TV streaming platform in the US, and we’ve set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers with unique capabilities to engage consumers.   

From your first day at Roku, you’ll make a valuable — and valued — contribution. We’re a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers worldwide while gaining meaningful experience across various disciplines. 

About the team 

Our team’s mission is to build cutting-edge advertising technology to support and help grow sustainable advertising business. The team owns server technologies, reporting infrastructure, data, cloud services, and test engineering for the advertising platforms within Roku. We also work closely with internal and external customers to help them achieve their advertising goals. 

About the role 

We are looking for an experienced manager to help grow the team, manage priorities, and communicate with stakeholders in an effective way. The role requires excellent communication skills in addition to a strong engineering background. The ideal candidate will have endless curiosity and can pair a global mindset with locally relevant execution. You should be a gritty problem solver and self-starter who can drive programs with the product and commercial teams within Roku and across external strategic partner organizations. The successful candidate will display a balance of hard and soft skills, including the ability to respond quickly to changing business needs. 
 

What you’ll be doing 

• Help grow the engineering team 

• Build scalable, resilient, and performant distributed systems for data processing, reporting and analytics 

• Work across engineering teams, data science, and product management to influence the direction of work and architecture 

• Communicate with internal stakeholders to inform and influence requirements and delivery  

• Take complete ownership of impactful initiatives and make pragmatic technical decisions. 

• Stakeholder management, developing good understanding of advertising business needs, building domain knowledge to understand systems and data better 

We’re excited if you have 
 

• 15+ years engineering experience working with modern big data technologies: Spark, Airflow, Scala, Java python, relational databases and related technologies 

• 6+ years’ experience leading technical teams and large-scale data processing systems 

• Experience building, growing and managing teams 

• Subject matter expertise in advertising and data processing 

• Solid understanding of data engineering, big data technologies, analytics and data science 

• Strong communication skills 

• Self-motivated individual with a high level of accountability and ownership 

• Critical thinker and practical decision maker 

• Can do, results-oriented mindset 

• Nonpolitical, collaborative, and team oriented 

About the role  

Our Search Platform sits at the heart of the Roku experience, powering voice, text, and visual discovery across 100M+ active accounts and every Roku-powered device worldwide.
 We own the entire stack —from ingesting & enriching a multi-million-title knowledge graph, to low-latency retrieval services and large-scale machine-learning systems that personalize results in real time. Our work doesn’t just help users find shows; it drives core product surfaces (home-screen rows, browse hubs, Roku Voice, mobile app search) and fuels partner monetization. If you enjoy turning cutting-edge research into products used billions of times a day, you’ll thrive here.

Roku’s footprint has more than quadrupled in the past five years, and user expectations have leaped just as fast—think LLM-based query understanding, vector-DB retrieval, on-device models, and multimodal search (voice, text, image). We’re now rebuilding our relevance stack for the next decade, blending classic IR with generative-AI techniques. You will be a technical leader spearheading that transformation. 

What you'll be doing 

• Apply state of the art ML on search using techniques in deep learning, bandits, transformers, LLMs, causal inference, and optimizations to make our users more delighted and engaged on the platform 
• Run online AB tests and analyze them against the critical business KPIs 
• Collaborate with US engineering teams as well as cross-functional teams to translate business requirements into technical specifications 
• Nurture our ML ecosystem to make it withstand scale, developer velocity and future business shifts 
• Provide technical leadership to drive technical and ML roadmap for search ranking and monetization 
• Help recruiting new engineers. Interview, train, and mentor new team members 
  
  We're excited if you have 
  
  
• 7+ years of experience (or PhD with 5 years of experience) applying Machine Learning to concrete problems at large-scale in domains like recommendation or search or ads 
• Strong CS fundamentals. Should be able covert ideas to code with ease 
• Good understanding of machine learning fundamentals like classification, deep neural nets, and sequence-based models. Familiarity with modern NLP stack and multi-modal representation learning is a plus 
• We'd love to see that you've worked with big data systems (Spark, S3, and Airflow) and can program (Java, Scala, or Python)  
• Good understanding of system architecture 
• Experience in big data technologies and streaming architecture, data pipelines, etc. 
• MS in Computer Science, Statistics, or related field, but a Ph.D. in CS or related fields is preferred 
  
• AI literacy and curiosity.You have either tried Gen AI in your previous work or outside of work or are curious about Gen AI and have explored it. 

#LI-AK1

About the Team 

The DMP team plays a critical role in Roku’s Advertising organization, leading initiatives around audience management that power decision-making across the advertising ecosystem. We develop and manage products that enable advanced segmentation and audience management for advertisers while meeting the operational needs of internal teams. We work closely with Product Managers, Machine Learning, Ad Sales, Ads Operations, and multiple groups within Advertising Engineering to deliver high-impact solutions.Looking ahead, we are exploring AI-driven capabilities to further enhance the effectiveness of advertising campaigns and improve operational efficiency of our platforms. 

About the Role 

We are seeking a highly skilled Senior Software Engineer with deep expertise in big data technologies, including Apache Spark and Apache Airflow. This hybrid position bridges software engineering and data engineering, requiring the ability to design, build, and maintain scalable systems for both application development and large-scale data processing.In this role, you will collaborate with cross-functional teams to architect and manage robust, production-grade data products and APIs that power critical capabilities across the advertising platform. You will work with technologies such as Apache Spark, Apache Airflow, ScyllaDB/Cassandra, Aerospike, Kubernetes, and SpringBoot to deliver reliable, high-performance solutions. The ideal candidate is a proactive, self-motivated professional with a strong track record in building high-scale data services and a dedication to delivering exceptional results. 

What You’ll Be Doing 

Software Development 

• Design and build APIs and backend services using Spring Boot to support data products and audience management workflows. 

• Write clean, maintainable, and efficient code, ensuring adherence to best practices through code reviews. 

Big Data Engineering 

• Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow. 

• Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance. 

• Develop and fine-tune complex queries using Apache Spark for large-scale datasets. 

• Monitor, troubleshoot, and improve data systems to minimize downtime and maximize efficiency. 

API and Platform Development

• Design, Development, and maintain large scale, low latency API systems using SpringBoot and Kubernetes

• Maintain NoSQL Infrastructure including ScyllaDB and Aerospike

Collaboration & Mentorship 

• Partner with the machine learning team, software engineers, and other teams to deliver integrated, high-quality solutions. 

• Provide technical guidance and mentorship to junior engineers, promoting best practices in software and data engineering.

We’re Excited If You Have 

• Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience). 

• 8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark, Apache Airflow.

• Expertise in developing low latency APIs
  

• Strong understanding of SOLID principles and distributed systems architecture. 

• Proven experience in distributed data processing, data warehousing, and real-time data pipelines. 

• Advanced SQL skills, with expertise in query optimization for large datasets. 

• Exceptional problem-solving abilities and the capacity to work independently or collaboratively. 

• Excellent verbal and written communication skills. 

• Experience with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes. (preferred) 

• Experience in AdTech, in advertising data platforms and audience management. (preferred)

• Strong programming skills in Python, Java, and/or Scala. (preferred) 

• Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code tools (e.g., Jenkins & Terraform). (preferred) 

• Expertise in developing low latency APIs

•  Experience with building Agentic AI systems to automate decision-making and enhance analytics workflows. (preferred)

• Experience in AdTech, in advertising data platforms and audience management. (preferred)
  

About the Team 

The Data Insights team plays a critical role in Roku’s Advertising organization, leading measurement and analytics initiatives that power decision-making across the advertising ecosystem. We develop and manage products that deliver actionable insights for advertisers while meeting the operational and analytical needs of internal teams.We work closely with Product Managers, Data Science, Ad Sales, Ads Operations, and multiple groups within Advertising Engineering to deliver high-impact solutions. Looking ahead, we are exploring AI-driven measurement capabilities to further enhance the effectiveness of advertising campaigns and strengthen internal analytics. 

About the Role 

We are seeking a highly skilled Senior Software Engineer with deep expertise in big data technologies, including Apache Spark and Apache Airflow. This hybrid position bridges software engineering and data engineering, requiring the ability to design, build, and maintain scalable systems for both application development and large-scale data processing.In this role, you will collaborate with cross-functional teams to architect and manage robust, production-grade data products that power critical analytics and measurement capabilities. You will work with technologies such as Apache Spark, Apache Airflow, Trino, Druid, Spring Boot, StarRocks, and Looker to deliver reliable, high-performance solutions.The ideal candidate is a proactive, self-motivated professional with a strong track record in building high-scale data services and a dedication to delivering exceptional results.

What You’ll Be Doing 

Software Development 

• Design and build APIs and backend services using Spring Boot to support data products and analytics workflows. 

• Write clean, maintainable, and efficient code, ensuring adherence to best practices through code reviews. 

Big Data Engineering 

• Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow. 

• Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance. 

• Develop and fine-tune complex queries and analytics solutions using Druid, Trino, and StarRocks for large-scale datasets. 

• Monitor, troubleshoot, and improve data systems to minimize downtime and maximize efficiency. 

Collaboration & Mentorship 

• Partner with data scientists, software engineers, and other teams to deliver integrated, high-quality solutions. 

• Provide technical guidance and mentorship to junior engineers, promoting best practices in software and data engineering. 

We’re Excited If You Have 

• Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience). 

• 8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark, Apache Airflow. 

• Expertise with atleast one of the following Apache Druid, StarRocks, and Trino. 

• Strong understanding of SOLID principles and distributed systems architecture. 

• Proven experience in distributed data processing, data warehousing, and real-time data pipelines. 

• Advanced SQL skills, with expertise in query optimization for large datasets. 

• Exceptional problem-solving abilities and the capacity to work independently or collaboratively. 

• Excellent verbal and written communication skills. 

• Experience with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes. (preferred) 

• Familiarity with additional big data technologies, including Hadoop and Kafka.  

• Experience in AdTech, in advertising data platforms and campaign measurement. (preferred)

• Strong programming skills in Python, Java, or Scala. (preferred) 

• Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code tools (e.g., Terraform). (preferred) 

• Expertise in data modeling, schema design, and data visualization tools.

• Experience with building Agentic AI systems to automate decision-making and enhance analytics workflows. (preferred) 

About the team

The mission of Roku's Data Engineering team is to develop a world-class big data platform so that internal and external customers can leverage data to grow their businesses. Data Engineering works closely with business partners and Engineering teams to collect metrics on existing and new initiatives that are critical to business success. As Senior Data Engineer working on Device metrics, you will design data models & develop scalable data pipelines to capturing different business metrics across different Roku Devices.

About the role

Roku pioneered streaming to the TV. We connect users to the streaming content they love, enable content publishers to build and monetise large audiences, and provide advertisers with unique capabilities to engage consumers. Roku streaming players and Roku TV™ models are available around the world through direct retail sales and licensing arrangements with TV brands and pay-TV operators.With tens of million players sold across many countries, thousands of streaming channels and billions of hours watched over the platform, building scalable, highly available, fault-tolerant, big data platform is critical for our success.This role is based in Bangalore, India and requires hybrid working, with 3 days in the office.

What you'll be doing

• Build highly scalable, available, fault-tolerant distributed data processing systems (batch and streaming systems) processing over 10s of terabytes of data ingested every day and petabyte-sized data warehouse
• Build quality data solutions and refine existing diverse datasets to simplified data models encouraging self-service
• Build data pipelines that optimise on data quality and are resilient to poor quality data sources
• Own the data mapping, business logic, transformations and data quality
• Low level systems debugging, performance measurement & optimization on large production clusters
• Participate in architecture discussions, influence product roadmap, and take ownership and responsibility over new projects
• Maintain and support existing platforms and evolve to newer technology stacks and architectures

We're excited if you have

• Extensive SQL Skills
• Proficiency in at least one scripting language, Python is required
• Experience in big data technologies like HDFS, YARN, Map-Reduce, Hive, Kafka, Spark, Airflow, Presto, etc.
• Proficiency in data modeling, including designing, implementing, and optimizing conceptual, logical, and physical data models to support scalable and efficient data architectures.
• Experience with AWS, GCP, Looker is a plus
• Collaborate with cross-functional teams such as developers, analysts, and operations to execute deliverables
• 8+ years professional experience as a data Engineer 
• BS in Computer Science; MS in Computer Science preferred
• AI Literacy / AI growth mindset

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 

The Big Data Infrastructure operates the critical infrastructure that powers the batch data processing at Stripe. The team supports a variety of use cases, including Payment, Ledger, ML, Fraud Detection, Product Analytics, Regulatory Reporting, Financial Data Reconciliation, and externally facing products like Radar and Sigma. As an example of the scale, the team’s systems serve hundreds of teams, thousands of workflows, 100,000+ task executions, O(billion) transformations, and moving terabytes of data processing over 1 GB/second every day. Our users inside Stripe include other engineering teams, Data Scientists, Sales & Operations, Finance, etc. 

Data Orchestration builds and operates the time-based and event-based orchestration infrastructure that powers and accelerates batch data pipelines. The team operates on a wide range of tech stacks including Airflow, Spark, SQL, Kafka, Flink, Hive MetaStore, Trino, Pinot, Python, Java, Scala, S3, and Iceberg. 

What you’ll do 

As a Software Engineer on our team, you will do the following: 

• Design, build, and maintain innovative next-generation or first-generation versions of key Data Platform products, with an emphasis on usability, reliability, security, and efficiency. 
• Design ergonomic APIs and abstractions that build a great customer experience for internal Stripes, that will in turn enhance the experience of millions of Stripe users.
• Ensure operational excellence and enable a highly available & reliable Data Orchestration platform across batch workloads. 
• Collaborate nimbly with high-visibility teams and their stakeholders to support their key initiatives - while building a robust platform that benefits all of Stripe in the long term. 
• Plan for the growth of Stripe’s infrastructure by unblocking, supporting, and communicating proactively with internal partners to achieve results. ● Connect your work with improvements in the usability and reliability of Open Source Software (OSS) like Apache Airflow, Iceberg, Spark and contribute back to the OSS community. 

Who you are 

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. 

Minimum requirements 

• 8+ years of professional experience writing high quality production level code or software programs and interest in Data Infrastructure. 
• Has experience operating or enabling large-scale, high-availability data pipelines from design, to execution and safe change management. Expertise in Spark, Flink, Spark, Airflow, Python, Java, SQL, and API design is a plus. 
• Has experience developing, maintaining, and debugging distributed systems built with open source tools 
• Has experience building infrastructure-as-a-product with a strong focus on users needs 
• Has strong collaboration and communication skills, and can comfortably interact with both technical and non-technical participants. 
• Has the curiosity to continuously learn about new technologies and business processes. 
• Is energized by delivering effective, user-first solutions through creative problem-solving and collaboration. 

Preferred qualifications 

• Has experience writing production-level code in Expertise in Scala, Spark, Flink, Spark, Airflow, Python, Java, and SQL is a plus.
• Has experience designing APIs or building developer platforms ● Has experience optimizing the end to end performance of distributed systems ● Has experience with scaling distributed systems in a rapidly moving environment ● Has experience working with Airflow Infrastructure. 
• Genuine enjoyment of innovation and a deep interest in understanding how things work 

Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams. 

Office location - Bengaluru , KA, India 

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

We are experts in data, working to make it cost-effective, understandable, and trustworthy. We build pipelines processing billions of events a day and are stewards of canonical data warehouses and datasets delivering products for Stripe Users while embedding with teams to build their data products.  We are experts in using the Stripe Data Platform and to scale we lead the data culture and data education to enable product teams to own their data. We invest in [AI] Data Ops to scale incident handling and serve as an escalation path for data incidents to minimize their impact. The Data Engineering Solutions team will work closely with product teams delivering trustworthy data / backend code / and innovative (AI) tools/platforms/services for data.

What you’ll do

We're looking for a person who could drive the Data Engineering Solutions Team in solving high-impact, cutting-edge data problems. The ideal candidate will be someone that has built data pipelines for large scale volume, is deeply knowledgeable of Data Engineering tools including Airflow/Spark/Kafka/Flink, is empathetic, excels at building strong relationships, and collaborates effectively with other Stripe teams to understand their use cases and unlock new capabilities.

You will:

• Lead the technical outcomes for a team of ambitious, talented engineers, providing mentorship, guidance, and support to ensure their success.
• Partner with our recruiting team to attract and hire top talent.
• Deliver cutting-edge data pipelines that scale to users' needs, focusing on reliability and efficiency.
• Develop strong subject matter expertise and manage the SLAs of data pipelines and full stack web applications that support critical stakeholders.
• Collaborate with product managers and peers across the company to create/improve canonical datasets and data warehouses, use golden paths, and ensure Stripes and customers are using trustworthy data.
• Leverage AI/LLM and Agents at scale to produce and analyze high-quality data on ambiguous problems
• Have an opportunity to work with Spark, Flink, Kafka, Trino, Pinot, Airflow, Scala, Java, SQL, and Python and many other big data technologies.
• Have the opportunity to drive the execution of key data initiatives for Stripe, overseeing the entire development lifecycle from planning to delivery while maintaining high standards of quality and timely completion.
• Foster a collaborative and inclusive work environment, promoting innovation, knowledge sharing, and continuous improvement within the team.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

We’re looking for someone who has: 

• 10+ Years of engineering experience with 5+ Years of hands-on experience building+operating data systems/pipelines, datasets/data warehouses, infrastructure, and leading small teams to deliver exceptional solutions.
• A strong engineering background and passion for data.
• Prior experience with writing and debugging data pipelines using a distributed data framework (Spark / Hadoop / Trino / etc)
• An inquisitive nature in diving into data inconsistencies to pinpoint issues, and resolve deep rooted data quality issues
• Knowledge of a backend development language (such as Scala, Java, or Go) and strong SQL experience
• Extreme customer focus, with a commitment to partnering with Product Managers, leaders, and other Stripe engineers to understand their use cases.
• Effective cross-functional collaboration, with the ability to think rigorously, communicate clearly, and make or coordinate difficult decisions and trade-offs.
• Thrive with high autonomy and responsibility in an ambiguous environment.
• Ability to foster and work in a healthy, inclusive, challenging, and supportive work environment.

Preferred qualifications

• Expertise in Iceberg, Kafka, Change Data Capture, Flink, Spark, Airflow, Hive Metastore, Pinot, Trino, AWS Cloud, and influencing open-source contributions is a plus.
• Experience creating and maintaining Data Marts / Data Warehouses to power business reporting needs
• Experience working with Product or Go-To-Market (GTM - Sales/Marketing) teams
• Genuine enjoyment of innovation and a deep interest in understanding how things work, with the ability to question and direct architectural decisions.
• Strong written and verbal communication skills for various audiences, including leadership, users, and company-wide.

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

The Batch Compute Infrastructure team at Stripe manages the foundational infrastructure, tooling, and distributed systems behind Stripe's massive-scale batch processing environments, currently encompassing over 5,000 computational nodes. Powered primarily by Hadoop, Spark, and Celeborn, these systems are the backbone for several core asynchronous financial, analytical, and regulatory workflows at Stripe, operating at petabyte scale.

What you’ll do -
You will support a team of engineers focused on building the tooling, infra and systems for operating Spark, Hadoop and Celeborn at Stripe. In addition to helping define the roadmap for these systems, you will be interacting with many other managers and their teams at Stripe, who rely on the Data processing Infra team to deliver efficient and scalable services to our customers. You will work with both the finance and engineering organization (infrastructure & product) to define, measure and monitor the cost efficiency of these systems. 

Responsibilities

• Drive Strategic Vision: Define the multi-year roadmap for Stripe’s Batch Compute Infrastructure, leading complex architectural shifts and modernization.
• Lead and Scale: Build, mentor, and aggressively scale a high-performing team of engineers, proactively investing in their career development and fostering a culture of operational excellence.
• Ensure Operational Rigor: Maintain unwavering reliability for a Tier-0 infrastructure processing tens of thousands of daily workloads, proactively mitigating risks and managing complex on-call telemetry.
• Cross-Functional Orchestration: Collaborate deeply with data platform teams, finance, and user groups to define compute efficiency metrics, execute massive-scale cost optimization strategies, and guarantee compliance with global financial regulations.
• Technical Stewardship: Provide technical guidance in architecture reviews, evaluating critical cost, performance, and reliability trade-offs in distributed systems design involving Hadoop, Spark, AWS cloud primitives, and modern metastores.

Who You Are

Minimum requirements

• 10+ years of professional software development and engineering experience.
• 3+ years of direct engineering management experience, successfully building and operating high-velocity technical teams.
• Deep technical background in building, scaling, and maintaining large-scale distributed data systems or Tier-0 infrastructure using open-source tools (e.g., Hadoop, Spark, Celeborn, Airflow, Kafka).
• Proven track record of driving significant infrastructure efficiency, managing capacity planning, and making data-driven cost-performance trade-offs.
• Experience working effectively in highly cross-functional, global organizations.

Preferred requirements

• Experience managing remote or geographically distributed engineering teams.
• Familiarity with managing a massive fleet of Linux servers, on-premise Hadoop clusters, and modern cloud data architectures (e.g., AWS S3, Graviton).
• Demonstrated ability to navigate strategic ambiguity and deliver complex, multi-quarter infrastructural projects from inception to completion.
• Deep empathy for internal data users with a passion for building robust developer tooling and abstractions.

Job Description

We’re seeking a hands-on Senior Data Architect to design and modernize scalable, AI-ready data platforms across cloud. The ideal candidate has deep technical expertise in AWS, PySpark, and Python, and experience migrating legacy Java-based scripts to Spark frameworks while ensuring data quality, scalability, and performance.

Key Responsibilities

• Design and implement data architecture and pipelines using PySpark, Python, and AWS services (Glue, EMR, S3, Redshift, Athena).
• Modernize legacy systems by converting Java-based migration or ETL scripts into Spark-based solutions.
• Build and manage data lakes and data warehouses optimized for analytics and AI/ML workflows.
• Collaborate with data scientists and analysts to enable model training, deployment, and continuous data delivery.
• Define and document HLD (High-Level Design) and LLD (Low-Level Design) for scalable data systems.
• Implement standards for data quality, governance, performance optimization, and security.
• Lead troubleshooting, performance tuning, and architecture reviews for data pipelines.

Skills and Experience

• 15+ years of experience in data engineering or architecture, with strong hands-on development background.
• Expert-level proficiency in PySpark, Python, and SQL for data processing and transformation.
• Strong understanding of AWS data ecosystem — including Glue, EMR, S3, Redshift, and Lambda.
• Proven experience migrating or re-engineering Java-based ETL systems into modern Spark environments.
• Solid foundation in data lake, data warehouse, and cloud-native architecture design.
• Experience supporting AI/ML data pipelines and integrating data platforms with ML workflows.
• Strong documentation skills (HLD, LLD) and ability to communicate architecture clearly to technical and business stakeholders.
• Experience with both RDBMS such as Maria DB/MySQL and No-SQL database such MongoDB
• Experience with GIT, Jenkins, & AWS
• Expertise in performance optimization and cost management for cloud environments
• Ability to manage multiple projects and priorities in a fast-paced environment
• AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional

Role 

We’re looking for a seasoned Senior Manager / Director, Software Development Engineering to join our team. This is a hybrid role based in our Bangalore office, reporting to the Sr. Director, Software Engineering within the Engineering department. 

You will lead and grow a high-impact engineering team working on Nanolog, a massively scalable product that has redefined how cloud security services are delivered. This is a hands-on leadership opportunity to drive technical excellence and scale a critical platform.

What you’ll do (Role Expectations)

• Manage a rapidly growing software engineering team of strong individual contributors
• Review architecture and code for the engineers to align with long term platform capabilities
• Create quality process and computing initiatives throughout the product lifecycle to eliminate architecture, design, and coding defects at the source
• Communicate technical solutions to all levels within-group and cross-discipline while providing consistent status reporting
• Maximize the productivity of your team by predicting and resolving obstacles and dependencies before they arise

Who You Are (Success Profile)

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution
• You are a positive force. You approach hard problems with constructive energy and a 'can-do' spirit that is contagious, inspiring your team to stay focused on the solution
• You are driven by innovation. You have a deep curiosity for how things work and are energized by solving complex technical challenges. You believe in the power of technology to accelerate transformation and are always looking for a better, more secure, and scalable way
• You champion simplicity. You are skilled at distilling complex problems, user needs, and technical concepts into clear, simple, and actionable plans. You are a precise communicator who brings clarity and focus to every interaction
• You are data-driven. You use data and analytics to find the truth, measure what matters, and guide informed decisions. You value evidence over assumptions, replacing "I think" with "I know" to drive better outcomes

What We’re Looking for (Minimum Qualifications)

• 12+ years of overall software development experience with 3+ years managing engineering teams in database, cloud, or distributed domains
• Proven experience building large-scale distributed systems or database kernels using Java, Go, C, or C++
• Demonstrated ability to motivate teams through technical discussions, architectural guidelines, code reviews, and release processes
• Experience working collaboratively with cross-functional partners including QA, Product Management, and Support
• Hands-on experience in the development of database systems

What Will Make You Stand Out (Preferred Qualifications)

• Extensive working experience with tools such as Redis, Kafka, API Gateway, or Spark
• Experience developing and managing large-scale, highly available distributed systems or database kernels specifically in C
• Deep expertise with Unix/Linux based solutions

#LI-HYBRID 

#LI-SK3

We're seeking a Head of Machine Learning to own and scale the ML function at Prodigal. This is the senior-most ML role in the company — partnering directly with the CTO as a peer technical leader, defining the multi-year ML vision, building and leading a world-class team, and translating cutting-edge research into production systems that move the needle for over 100 customers and millions of consumers. You'll set the bar for technical excellence, hire and develop the next generation of ML leaders, and shape what consumer finance intelligence looks like over the next decade. If you've operated at this level before — or are ready to step into it at a company where ML is the engine of the product — we want to talk.

Responsibilities:

• Own the ML function end-to-end — vision, roadmap, team, delivery, and measurable business impact across classical ML, NLP, GenAI, and Agentic AI
• Partner with the CTO as the senior ML leader to set company-wide technical direction and shape the long-term roadmap for Prodigal's Intelligence Engine
• Build and lead a high-performing ML organization — hire, mentor, and develop ML engineers, applied scientists, and tech leads across multiple pods
• Translate research into product — drive the application of LLMs, Agentic AI, the modern NLP stack, recommendation systems, and classical ML into production systems serving 100+ customers
• Set technical standards for model development, deployment, monitoring, evaluation, and experimentation that scale across the org
• Architect data and ML infrastructure in partnership with the platform and engineering teams to support large-scale training and reliable, low-latency inference
• Communicate strategy and outcomes clearly to the founders, board, customers, and broader engineering organization
• Represent Prodigal externally — at conferences, in research collaborations, and as a senior voice in the consumer finance AI community
• Stay at the frontier of ML and GenAI research, identifying where new techniques unlock product and business advantage
• Collaborate cross-functionally with product, engineering, GTM, and customer success leaders to ensure ML investment ties directly to revenue, retention, and customer outcomes

Requirements:

• 10+ years of experience in machine learning and software development at a tech or product company, with 4+ years leading ML teams (managing engineers and/or tech leads)
• Proven track record of shipping ML products in production at scale with measurable business impact
• Deep technical fluency across classical ML, deep learning, and the modern NLP/LLM stack — you can still go deep in design reviews, not just review at the surface
• Strong coding skills in Python. Hands-on with PyTorch, scikit-learn, Pandas, and Spark
• Demonstrated success hiring, mentoring, and growing ML talent — including team leads and senior engineers
• Strong executive communication and the ability to set technical direction with founders, peers, and the board
• A bias for outcomes — you connect model work to revenue, engagement, and operational metrics

Preferred Qualifications:

• Experience as a founding ML hire, ML lead, or applied science leader at a high-growth AI/ML product company
• Background in voice AI, conversational AI, speech, NLP on unstructured text, or fintech/lending domains
• Experience with cloud services (AWS), Databricks, and building scalable, distributed systems
• Track record of running A/B testing and experimentation programs at scale
• Patents, publications, or open-source contributions; strong institutional pedigree (IIT, BITS, NIT, IISc)
• Experience scaling an ML org through a hypergrowth phase

Job Benefits

• GenAI at the core – Lead the ML function at a company where AI isn't a feature, it's the product. Shape groundbreaking work that redefines consumer finance intelligence.
• World-class team - You'll get the chance to learn from (and teach) some of the brightest and most skilled people you'll ever meet. Our team members have been part of BCG, Deloitte, EY, Blackstone, Meta, Amazon and are IIT, IIM, BITS alumnus.
• Continuous education - As relentless seekers of knowledge, we sponsor and support any training materials, books, courses, and exam fees for upskilling yourself in areas related to your role - but that's not where it ends. If you make a good case for some extra learning, we're delighted to foot the tab.
• Food at the office – Meals are on us. We won't let your stomach grumble while you hustle.
• Health insurance - Health always comes first. The health of your family is as important to us as it is to you. We offer insurance coverage for both you and your family.
• Flexible schedule - We're not a "clock in, clock out" company. Morning person? Start work while the world's still sleeping. Night owl? Ramp things up while others are winding down. You're fully trusted to create the right conditions for your own personal peak productivity. We only ask that you be available to your teammates for seamless collaboration.
• Generous leave policy - Take all the time you need to recharge your batteries - no cap on vacation here. Because a rested, relaxed, and refreshed mind is a happy and effective mind.
• Recreation & team activities – We regularly indulge in friendly football, table tennis, cooking sessions, and challenge each other to do those extra push-ups or chug that 4th drink (of course, that's Nimbu Pani).

Meet Sangram (Cofounder and CTO) and hear his vision for Prodigal: https://www.youtube.com/embed/FTWlN9fwiIA?feature=shared

About Inizio

Inizio is a global partner with over 10,500 experts operating in more than 50 countries. We support health and life science companies by turning science into strategy and executing across the product and patient journey. Our services include market research, strategy consulting, transformation consulting, and commercial benchmarking, all designed to be data-backed and patient-inspired.

Role Summary:

Seeking an Azure Data Engineer with 2–4 years of experience to build and support data pipelines on Azure and contribute to our Data Warehouse and Microsoft Fabric initiatives.

Key Responsibilities:

• Develop and maintain ADF pipelines for data ingestion and transformation
• Ingest data from databases, APIs, SFTP, and SharePoint into ADLS/Blob
• Process data across Raw → Staging → EDW layers
• Write and optimize SQL queries and stored procedures
• Implement incremental/delta loads and basic error handling
• Monitor and troubleshoot pipelines
• Work with Lakehouse concepts (Bronze/Silver/Gold)
• Support Python/PySpark-based transformations
• Contribute to Microsoft Fabric (Pipelines, Lakehouse, Notebooks)

Required Skills:

• 2–4 years of Data Engineering experience
• Strong Azure Data Factory (ADF) experience
• Strong SQL (queries, stored procedures)
• Strong understanding of Data Warehouse concepts (data modeling, staging, and EDW layers)
• Good understanding of incremental and delta data loading strategies
• Working knowledge of Python with PySpark for data transformations on Azure Databricks
• Understanding of Lakehouse architecture
• Knowledge of Power Bi. 
• Familiarity with Microsoft Fabric (nice to have)
• Experience with metadata/config-driven pipeline frameworks (nice to have)

Our Pledge

At Inizio, we value inclusivity, recognize the power of diversity, and inspire the next generation of change-makers. We are an equal opportunities employer and are committed to creating a dynamic work environment that values diversity, equity, and inclusion. We welcome all applications regardless of race, color, religion, gender identity, age, national origin, marital status, veteran status, genetic information, sexual orientation, or disability.

Artificial Intelligence

Inizio may use AI technologies to support certain aspects of our recruitment process, but all hiring decisions are made by our human recruiting team. We are committed to fair, inclusive, and human-led hiring practices. Don't meet every requirement? That's okay! We are dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't perfectly align with every qualification, we encourage you to apply anyway.

About Inizio

Inizio is a global partner with over 10,500 experts operating in more than 50 countries. We support health and life science companies by turning science into strategy and executing across the product and patient journey. Our services include market research, strategy consulting, transformation consulting, and commercial benchmarking, all designed to be data-backed and patient-inspired.

Role Summary:

Seeking an Azure Data Engineer with 2–4 years of experience to build and support data pipelines on Azure and contribute to our Data Warehouse and Microsoft Fabric initiatives.

Key Responsibilities:

• Develop and maintain ADF pipelines for data ingestion and transformation
• Ingest data from databases, APIs, SFTP, and SharePoint into ADLS/Blob
• Process data across Raw → Staging → EDW layers
• Write and optimize SQL queries and stored procedures
• Implement incremental/delta loads and basic error handling
• Monitor and troubleshoot pipelines
• Work with Lakehouse concepts (Bronze/Silver/Gold)
• Support Python/PySpark-based transformations
• Contribute to Microsoft Fabric (Pipelines, Lakehouse, Notebooks)

Required Skills:

• 2–4 years of Data Engineering experience
• Strong Azure Data Factory (ADF) experience
• Strong SQL (queries, stored procedures)
• Strong understanding of Data Warehouse concepts (data modeling, staging, and EDW layers)
• Good understanding of incremental and delta data loading strategies
• Working knowledge of Python with PySpark for data transformations on Azure Databricks
• Understanding of Lakehouse architecture
• Familiarity with Microsoft Fabric (nice to have)
• Experience with metadata/config-driven pipeline frameworks (nice to have)

Our Pledge

At Inizio, we value inclusivity, recognize the power of diversity, and inspire the next generation of change-makers. We are an equal opportunities employer and are committed to creating a dynamic work environment that values diversity, equity, and inclusion. We welcome all applications regardless of race, color, religion, gender identity, age, national origin, marital status, veteran status, genetic information, sexual orientation, or disability.

Artificial Intelligence

Inizio may use AI technologies to support certain aspects of our recruitment process, but all hiring decisions are made by our human recruiting team. We are committed to fair, inclusive, and human-led hiring practices. Don't meet every requirement? That's okay! We are dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't perfectly align with every qualification, we encourage you to apply anyway.

ABOUT THE ROLE AND OUR TEAM

Are you a strategic sales professional ready to drive growth in a high-impact category? The Venue Account Executive is responsible for hitting monthly sales goals by engaging with wedding professionals in our Venue and Catering categories across the United States. Using a high-volume cold calling approach and a consultative sales process, you will build rapport with business owners to advise them on industry trends and how to scale their brands through The Knot and WeddingWire’s premium advertising platforms.

The Venue category requires a high level of sales maturity and the ability to navigate a longer, more complex sales cycle. Because high-impact outreach and client consultations happen when wedding professionals are most active, success in this role requires a dedicated 40-hour-per-week commitment during our standard business hours of 9:00 am – 6:00 pm EST. We are looking for professionals who understand that consistent presence is the key to managing a successful pipeline.

The expected salary for this job requisition is $50,000-$60,000. The salary is just one component of TKWW's total rewards package for employees. The role is eligible for other total rewards such as health care insurance, 401(k) retirement account, paid sick time, paid personal time off, and paid parental leave. This role is also eligible for variable compensation and/or performance bonuses.

Applications for this role are being accepted on a rolling basis.

RESPONSIBILITIES

• Execute High-Volume Outreach: Drive daily activity expectations through consistent, high-volume sales calls to identify and engage decision-makers.

• Manage Complex Pipelines: Successfully navigate a diverse and longer sales process from initial prospect identification to close.

• Consultative Value Building: Build and maintain strong phone rapport to uncover prospect needs and deliver crisp, on-point presentations that highlight our platforms' ROI.

• Drive Revenue: Consistently meet and exceed monthly revenue quotas by closing new business deals.

• Persistence & Negotiation: Proactively follow up with potential clients to negotiate contracts and maximize profit margins.

• Strategic Time Management: Organize your workday efficiently, ensuring all interactions and opportunities are meticulously tracked and updated in Salesforce.

• Team Collaboration: Work independently to hit personal targets while remaining a collaborative contributor to the broader team’s success.

SUCCESSFUL VENUE ACCOUNT EXECUTIVES HAVE:

• B2B Experience: At least 2 years of full sales cycle B2B experience (Inside phone sales is strongly preferred).

• Analytical Mindset: Strong skills in identifying trends, understanding challenges, and proposing data-backed solutions.

• Persuasive Communication: Confidence and enthusiasm when presenting to decision-makers, backed by excellent verbal and written skills.

• Problem-Solving Prowess: A proven ability to deliver client-focused solutions and thrive in a fast-paced, evolving, and competitive environment.

• Organizational Mastery: The ability to work independently and manage a structured 40-hour work week effectively.

• Tech Savvy: Experience with Salesforce.com or another CRM system; a Bachelor’s degree is preferred.

WORK MODEL:
This role is fully remote and not tied to any specific office location. While there are no regular in-office requirements, we encourage our remote team members to gather intentionally for key company and team events to stay connected and engaged.

#LI-Remote  #professional-track

We’re looking for a Senior Data Engineer to design, build, and operate the data pipelines and aggregates that power Zeta’s AdTech platform. This is a hands-on individual contributor role focused on high-scale batch + streaming data processing, reliable data products, and analytics-ready datasets that enable prediction, agentic workflows, BI reporting, and measurement. You will partner closely with backend, ML, and product teams to deliver trusted, well-modeled data with strong performance, quality, and observability.

What You’ll Do

• Build data pipelines: Develop robust batch and streaming pipelines (Kafka/Kinesis) to ingest, transform, and enrich large-scale event data (impressions, clicks, conversions, costs, identity signals).
• Create data aggregates & marts: Design and maintain curated aggregates and dimensional models for multiple consumers—prediction models, agents, BI dashboards, and measurement workflows.
• Data modeling & contracts: Define schemas, data contracts, and versioning strategies to keep downstream systems stable as sources evolve.
• Data quality & reliability: Implement validation, anomaly detection, backfills, and reconciliation to ensure completeness, correctness, and timeliness (SLAs/SLOs).
• Performance & cost optimization: Optimize compute/storage for scale (partitioning, file sizing, incremental processing, indexing), balancing latency, throughput, and cost.
• Orchestration & automation: Build repeatable workflows with scheduling/orchestration (e.g., Airflow, Dagster, Step Functions) and CI/CD for data pipelines.
• Observability for data systems: Instrument pipelines with metrics, logs, lineage, and alerting to accelerate detection and root-cause analysis of data issues.

Security & governance: Apply least-privilege access, PII-aware handling, and governance controls aligned with enterprise standards.

5+ years building production data pipelines and data products (batch and/or streaming) in a high-scale environment.

Strong experience with SQL and data modeling (dimensional modeling, star/snowflake schemas, event modeling).

• Hands-on experience with streaming systems (Kafka preferred) and/or AWS Kinesis, including event-driven designs.
• Proficiency in one or more languages used for data engineering (Python, Java, Scala, or Go).
• Experience with distributed data processing (Spark, Flink, or equivalent) and performance tuning at scale.
• Experience with AWS data services and cloud-native patterns (S3, Glue/EMR, Athena, Redshift, etc. as applicable).
• Familiarity with lakehouse/table formats and large-scale storage patterns (e.g., Parquet; Iceberg/Hudi/Delta are a plus).
• Experience with orchestration/workflow tooling (Airflow/Dagster/Step Functions) and CI/CD for data workloads.
• Strong data quality/observability practices (tests, monitoring, lineage; understanding of SLAs/SLOs).
• Experience with SQL + NoSQL data stores (e.g., Postgres/MySQL; DynamoDB/Cassandra/Redis) and choosing the right store per use case.

Clear communicator and collaborator; able to work with mixed audiences and translate needs into reliable data interfaces.

• AdTech / programmatic advertising domain knowledge: DSP/SSP/exchange/RTB concepts and data flows.
• Experience building measurement pipelines (attribution, incrementality, lift, or experimentation analytics).

Experience supporting ML feature stores, offline/online feature generation, or model training datasets.

• Experience with real-time analytics stores (Druid/ClickHouse/Pinot) and high-cardinality aggregation strategies.
• Deep knowledge of data governance/privacy, including PII handling and consent-aware data processing.
• Open-source contributions, publications, or conference speaking.
• BS/MS in CS/Engineering or equivalent practical experience.

WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 

As a Staff Backend Engineer, you will be a highly technical individual contributor responsible for designing, building, and optimizing the backend systems that power our low-latency ad platform. You will take the lead in developing scalable microservices and streaming data infrastructure to handle high-throughput workloads with minimal latency. This role requires deep expertise in distributed systems and real-time data processing (ideally in the programmatic advertising domain) to ensure our systems remain highly performant and reliable. You’ll work closely with product managers, data scientists, and other engineering teams to translate business needs into technical solutions and ensure the platform is fast, fault-tolerant, and observable. This role is based in the United States and can be performed remotely, with a preference for candidates who can join us in a hybrid capacity in San Francisco, New York, or Atlanta.

Responsibilities:

• System Architecture & Development: Lead the design and implementation of scalable, high-performance backend services, including microservices and APIs, that can efficiently handle large volumes of requests with low latency. Ensure the architecture accommodates real-time bidding and personalization use cases common in AdTech.
• Streaming Data Infrastructure: Develop and maintain streaming data pipelines and event-driven systems to process and analyze continuous data flows in real time (e.g., using Apache Kafka). Optimize data ingestion and processing for timeliness and accuracy to support downstream analytics and machine-learning models.
• Performance & Reliability: Ensure the backend systems are highly performant, resilient, and stable under heavy load. Implement robust fault-tolerance mechanisms and optimize for low-latency response times in a high-concurrency environment. Leverage observability best practices (comprehensive monitoring, logging, and tracing) to enable engineers to quickly analyze system behavior and take proactive measures to boost performance and reliability.
• Cross-Functional Collaboration: Work closely with cross-functional teams – including Product, Data Science, DevOps, and Frontend – to translate business requirements into scalable technical solutions. Facilitate effective communication and collaborative problem-solving to deliver new features and improvements that align with our product roadmap.
• Technical Leadership & Mentorship: Provide technical leadership within the engineering team without direct managerial duties. Guide and mentor junior engineers through code reviews, design discussions, and best practice adoption, fostering a culture of technical excellence and continuous improvement.
• Technical Strategy & Innovation: Stay abreast of emerging technologies and industry trends (e.g. new AWS services, streaming frameworks, database technologies) and evaluate their potential benefit to our platform. Contribute to the technical roadmap, making build-vs-buy recommendations and driving innovation to keep our systems ahead of the curve.

Required Qualifications:

• 8+ years of software engineering experience building backend systems, with 3+ years in a senior or lead role (e.g. Staff Engineer, Principal Engineer) in the AdTech or a similar high-volume, low-latency domain.
• Proven track record in designing and building high-throughput, low-latency distributed systems that operate at scale (e.g. handling thousands of requests per second or more).
• Expertise in microservices architecture and distributed system design, including experience decomposing monoliths or building greenfield microservices with well-defined APIs.
• Proficiency in Java and Go for backend development, and experience with Python for scripting, automation, or data processing tasks.
• Hands-on experience with streaming data technologies and event-driven frameworks, such as Apache Kafka (or AWS Kinesis), and possibly stream processing frameworks (Spark Streaming, Flink, or similar, experience with Apache Kafka is highly desired).
• Strong experience with cloud platforms (AWS preferred) and deploying services in a cloud-native environment. Familiarity with AWS components like EC2, S3, Lambda, SNS/SQS, etc., and ability to design cost-effective, performant cloud architectures.
• Experience with both SQL and NoSQL databases for high-volume applications. Comfortable with technologies like PostgreSQL/MySQL as well as key-value or wide-column stores (e.g. DynamoDB, Cassandra, Redis) for caching and fast lookups.
• Familiarity with containerization and orchestration tools (Docker, Kubernetes) and CI/CD pipelines to build and deploy microservices reliably.
• Deep understanding of system observability and monitoring – experience instrumenting applications and using monitoring/logging tools to ensure visibility into system performance (e.g. Prometheus, Grafana, ELK stack or similar).
• Excellent problem-solving and communication skills. Ability to communicate complex technical concepts clearly to cross-functional team members and stakeholders. Proven collaboration skills in an agile development environment.

Preferred Qualifications:

• Domain Expertise: Deep knowledge of the programmatic advertising ecosystem, including how Demand-Side Platforms (DSPs), Supply-Side Platforms (SSPs), ad exchanges, and real-time bidding (RTB) work together. Prior experience building or optimizing components of a DSP or ad server is a strong plus.
• High-Scale Data Processing: Experience designing systems that operate at extreme scale, such as real-time auction systems or high-frequency trading platforms, and optimizing algorithms for latency and throughput (e.g. understanding of auction theory or bidding optimization strategies).
• Data Pipelines & Analytics: Familiarity with big data processing and analytics pipelines (Spark, Hadoop, or columnar data stores) for batch and streaming workloads. Experience with data warehousing or real-time analytics databases (e.g. Druid, ClickHouse) is a plus.
• Advanced Performance Tuning: Demonstrated experience in performance profiling and optimization (e.g. JVM tuning, concurrency, GC optimization, network I/O) in large-scale Java or Go applications.
• Leadership in the Tech Community: A track record of contributing to open-source projects, technical publications, or speaking at industry conferences. Keeping on top of emerging trends and sharing knowledge both inside and outside the organization.
• Education: Bachelor’s degree in Computer Science, Engineering, or related field (Master’s or Ph.D. a plus), with strong foundations in algorithms and data structures.

Company Profile:

Zeta Global is a NYSE listed data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry’s 3rd largest proprietary data set (2.4B+ identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth.

Our technology runs on the Zeta Marketing Platform, which powers ‘end to end’ marketing programs for some of the world’s leading brands. With expertise encompassing all digital marketing channels – Email, Display, Social, Search and Mobile – Zeta orchestrates acquisition and engagement programs that deliver results that are scalable, repeatable and sustainable.

Zeta Global is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, gender, ancestry, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 

As a Staff Backend Engineer, you will be a highly technical individual contributor responsible for designing, building, and optimizing the backend systems that power our low-latency ad platform. You will take the lead in developing scalable microservices and streaming data infrastructure to handle high-throughput workloads with minimal latency. This role requires deep expertise in distributed systems and real-time data processing (ideally in the programmatic advertising domain) to ensure our systems remain highly performant and reliable. You’ll work closely with product managers, data scientists, and other engineering teams to translate business needs into technical solutions and ensure the platform is fast, fault-tolerant, and observable. This role is based in the United States and can be performed remotely, with a preference for candidates who can join us in a hybrid capacity in San Francisco, New York, or Atlanta.

Key Responsibilities

• System Architecture & Development: Lead the design and implementation of scalable, high-performance backend services, including microservices and APIs, that can efficiently handle large volumes of requests with low latency. Ensure the architecture accommodates real-time bidding and personalization use cases common in AdTech.
• Streaming Data Infrastructure: Develop and maintain streaming data pipelines and event-driven systems to process and analyze continuous data flows in real time (e.g., using Apache Kafka). Optimize data ingestion and processing for timeliness and accuracy to support downstream analytics and machine-learning models.
• Performance & Reliability: Ensure the backend systems are highly performant, resilient, and stable under heavy load. Implement robust fault-tolerance mechanisms and optimize for low-latency response times in a high-concurrency environment. Leverage observability best practices (comprehensive monitoring, logging, and tracing) to enable engineers to quickly analyze system behavior and take proactive measures to boost performance and reliability.
• Cross-Functional Collaboration: Work closely with cross-functional teams – including Product, Data Science, DevOps, and Frontend – to translate business requirements into scalable technical solutions. Facilitate effective communication and collaborative problem-solving to deliver new features and improvements that align with our product roadmap.
• Technical Leadership & Mentorship: Provide technical leadership within the engineering team without direct managerial duties. Guide and mentor junior engineers through code reviews, design discussions, and best practice adoption, fostering a culture of technical excellence and continuous improvement.
• Technical Strategy & Innovation: Stay abreast of emerging technologies and industry trends (e.g. new AWS services, streaming frameworks, database technologies) and evaluate their potential benefit to our platform. Contribute to the technical roadmap, making build-vs-buy recommendations and driving innovation to keep our systems ahead of the curve.

Required Qualifications:

• 8+ years of software engineering experience building backend systems, with 3+ years in a senior or lead role (e.g. Staff Engineer, Principal Engineer) in the AdTech or a similar high-volume, low-latency domain.
• Proven track record in designing and building high-throughput, low-latency distributed systems that operate at scale (e.g. handling thousands of requests per second or more).
• Expertise in microservices architecture and distributed system design, including experience decomposing monoliths or building greenfield microservices with well-defined APIs.
• Proficiency in Java and Go for backend development, and experience with Python for scripting, automation, or data processing tasks.
• Hands-on experience with streaming data technologies and event-driven frameworks, such as Apache Kafka (or AWS Kinesis), and possibly stream processing frameworks (Spark Streaming, Flink, or similar, experience with Apache Kafka is highly desired).
• Strong experience with cloud platforms (AWS preferred) and deploying services in a cloud-native environment. Familiarity with AWS components like EC2, S3, Lambda, SNS/SQS, etc., and ability to design cost-effective, performant cloud architectures.
• Experience with both SQL and NoSQL databases for high-volume applications. Comfortable with technologies like PostgreSQL/MySQL as well as key-value or wide-column stores (e.g. DynamoDB, Cassandra, Redis) for caching and fast lookups.
• Familiarity with containerization and orchestration tools (Docker, Kubernetes) and CI/CD pipelines to build and deploy microservices reliably.
• Deep understanding of system observability and monitoring – experience instrumenting applications and using monitoring/logging tools to ensure visibility into system performance (e.g. Prometheus, Grafana, ELK stack or similar).
• Excellent problem-solving and communication skills. Ability to communicate complex technical concepts clearly to cross-functional team members and stakeholders. Proven collaboration skills in an agile development environment.

Preferred Qualifications:

• Domain Expertise: Deep knowledge of the programmatic advertising ecosystem, including how Demand-Side Platforms (DSPs), Supply-Side Platforms (SSPs), ad exchanges, and real-time bidding (RTB) work together. Prior experience building or optimizing components of a DSP or ad server is a strong plus.
• High-Scale Data Processing: Experience designing systems that operate at extreme scale, such as real-time auction systems or high-frequency trading platforms, and optimizing algorithms for latency and throughput (e.g. understanding of auction theory or bidding optimization strategies).
• Data Pipelines & Analytics: Familiarity with big data processing and analytics pipelines (Spark, Hadoop, or columnar data stores) for batch and streaming workloads. Experience with data warehousing or real-time analytics databases (e.g. Druid, ClickHouse) is a plus.
• Advanced Performance Tuning: Demonstrated experience in performance profiling and optimization (e.g. JVM tuning, concurrency, GC optimization, network I/O) in large-scale Java or Go applications.
• Leadership in the Tech Community: A track record of contributing to open-source projects, technical publications, or speaking at industry conferences. Keeping on top of emerging trends and sharing knowledge both inside and outside the organization.
• Education: Bachelor’s degree in Computer Science, Engineering, or related field (Master’s or Ph.D. a plus), with strong foundations in algorithms and data structures.

WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 

At Zeta Global, identity is at the core of our marketing cloud. The Identity team builds and operates backend services that power the Zeta Identity Graph - collecting, resolving, and maintaining billions of behavioural, demographic, and transactional signals. These services enable people-based marketing at scale, ensure trust and transparency in how identity data is managed, and provide critical APIs and event streams consumed across Zeta’s platform. Our systems support more than 235 million consumer profiles and process billions of events monthly, requiring services that are highly available, low-latency, and built to scale.

We are looking for a Lead Software Engineer who brings strength in both backend distributed systems and data engineering. In this role, you’ll design APIs and event-driven services, scale our systems to handle rapidly growing data volumes, and modernize our platform for resilience, transparency, and performance.

You Will:

• Design and build backend services and APIs for identity resolution, graph transparency, and integrations.
• Develop and optimize event-driven pipelines and workflows processing billions of signals.
• Deploy and operate cloud-native services on EKS/Kubernetes, leveraging Helm for repeatable deployments.
• Ensure reliability, observability, and scalability across services and data pipelines.
• Collaborate across engineering, product, and data teams to deliver end-to-end identity solutions.
• Mentor engineers and influence architecture and roadmap decisions.

You Have:

• 7+ years of experience in backend and/or data engineering at scale.
• Strong skills in Python, Java, or Scala, with expertise in APIs, distributed systems, and event-driven design.
• Hands-on experience with Kafka (or similar), Spark/Hive/Flink, and workflow schedulers (Airflow/Luigi).
• Proficiency with Kubernetes (EKS preferred) and deployment practices (Helm, service meshes).
• Solid knowledge of SQL, data modelling, and cloud platforms (AWS).
• Familiarity with columnar / NoSQL databases (Aerospike, Snowflake, HBase, Scylla, Elasticsearch)
• Knowledge of performance optimization and resilience patterns (caching, retries, fault tolerance).
• Familiarity with CI/CD and automated testing practices for backend services.
• Strong communication skills and a track record of driving technical direction and mentoring teams.

Bonus Skills:

• Experience with large-scale or multi-tenant distributed systems.
• Exposure to real-time streaming frameworks (Flink, Storm).
• Knowledge of open table formats (Iceberg, Hudi, Delta Lake).
• Background in security, compliance, or privacy related to identity systems.

Company Summary:

Zeta Global is a NYSE listed data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry’s 3rd largest proprietary data set (2.4B+ identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth.

Our technology runs on the Zeta Marketing Platform, which powers ‘end to end’ marketing programs for some of the world’s leading brands. With expertise encompassing all digital marketing channels – Email, Display, Social, Search and Mobile – Zeta orchestrates acquisition and engagement programs that deliver results that are scalable, repeatable and sustainable.

Zeta Global is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, gender, ancestry, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.

Zeta Global Recognized in Enterprise Marketing Software and Cross-Channel Campaign Management Reports by Independent Research Firm

https://www.forbes.com/sites/shelleykohan/2024/06/19/amazon-partners-with-zeta-global-to-deliver-gen-ai-marketing-automation/

https://www.cnbc.com/video/2024/05/06/zeta-global-ceo-david-steinberg-talks-ai-in-focus-at-milken-conference.html

https://www.businesswire.com/news/home/20240904622808/en/Zeta-Increases-3Q%E2%80%9924-Guidance

https://www.prnewswire.com/news-releases/zeta-global-opens-ai--data-labs-in-san-francisco-and-nyc-300945353.html

https://www.prnewswire.com/news-releases/zeta-global-recognized-in-enterprise-marketing-software-and-cross-channel-campaign-management-reports-by-independent-research-firm-300938241.html

We invite you to explore this opportunity to be a part of the Zeta family……

Should you need any assistance or require further information, please do not hesitate to contact us.

As a Senior AI/ML Engineer in our AdTech team, you will be a hands-on individual contributor building and deploying machine learning models and AI-driven features for our advertising platform. You will partner with engineering, product, and data science to deliver production-grade ML for campaign optimization, user personalization, and creative intelligence—operating at large scale and low latency across billions of ad events per day. You will contribute to modern ML/LLM capabilities and agentic workflows that automate and enhance campaign operations, with a strong focus on reliability, performance, and measurable business impact.

Key Responsibilities

• Machine Learning Delivery: Design, implement, and ship scalable ML solutions for core AdTech use cases (targeting, ranking, pacing, measurement). Own features end-to-end from experimentation to production rollout.
• ML System Design: Build and evolve the ML lifecycle—data preparation, training, evaluation, and real-time inference—ensuring models integrate cleanly with ad serving systems and meet low-latency, high-throughput requirements.
• Technical Contribution: Contribute to the AI/ML technical roadmap by evaluating tools and techniques (including deep learning, LLMs, and retrieval/feature systems). Make pragmatic trade-offs with an eye toward maintainability and operational excellence.
• AI & Agentic Applications: Develop and integrate LLM-powered features and agentic workflows that assist with campaign workflows such as audience insights, bid/budget recommendations, and creative generation—within well-defined guardrails.
• Cross-Functional Collaboration: Work closely with engineering, product, and data science partners to translate marketing objectives into ML-driven solutions, define success metrics, and deliver iterative improvements.
• Performance & Reliability: Operate ML services in a high-concurrency, latency-sensitive environment. Optimize inference paths, implement monitoring/alerting, manage model drift, and ensure safe deployment practices (A/B testing, canaries, rollbacks).
• Mentorship & Best Practices: Mentor and support other engineers through code/model reviews and knowledge sharing. Champion engineering rigor in testing, observability, documentation, and reproducible ML workflows.

Required Qualifications

• 5+ years of experience in software engineering and/or applied machine learning, with a track record of shipping ML systems to production.
• Experience designing and building high-throughput, low-latency services or data pipelines for large-scale applications.
• Working knowledge of the programmatic advertising ecosystem (DSP/SSP/RTB) is a plus; strong adjacent experience (recommendation, ranking, marketplaces) is also valued.
• Proficiency in at least one of Java, Go, or Python for backend services and ML tooling.
• Hands-on experience with ML frameworks (PyTorch or TensorFlow) and common modeling approaches (classification, ranking, embeddings, deep learning).
• Experience with big data and streaming frameworks (e.g., Spark, Kafka) for processing and analyzing large datasets.
• Experience deploying ML to cloud environments (preferably AWS) and operating services at scale.
• Familiarity with data stores (SQL/NoSQL) such as PostgreSQL/MySQL, Cassandra/DynamoDB, Redis, etc.
• Familiarity with containerization/orchestration (Docker, Kubernetes) and CI/CD practices.
• Strong communication skills and ability to collaborate across disciplines; comfort explaining technical concepts to both technical and non-technical stakeholders.

Preferred Qualifications

• Experience with Large Language Models (LLMs) and generative AI applied to advertising (e.g., ad copy generation, creative optimization, or personalized messaging).
• Experience designing and implementing agentic workflows that support autonomous or semi-autonomous decision-making with strong safety/observability guardrails.
• Experience with model serving and optimization for real-time inference (latency-critical environments).
• Familiarity with modern data lake and table formats (e.g., Apache Iceberg, Apache Hudi) for managing large-scale analytical datasets.
• Knowledge of microservices architecture and event-driven design patterns in distributed systems.
• Contributions to open-source projects, publications, or speaking engagements that demonstrate thought leadership in AI/ML are a plus.

WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com. 

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 

See yourself at Twilio

Join the team as Twilio’s next Staff Machine Learning Engineer.

About the job

This position is needed to scope, design, and deploy machine learning systems into the real world, the individual will closely partner with Product & Engineering teams to execute the roadmap for Twilio’s AI/ML products and services.

You will understand customers need, build data products that works at a global scale and own end-to-end execution of large scale ML solutions. 

To thrive in this role, you must have a deep background in ML engineering, and a consistent track record of solving data & machine-learning problems at scale. You are a self-starter, embody a growth attitude, and collaborate effectively across organizations.

Responsibilities

In this role, you’ll:

• Build and maintain scalable machine learning solutions in production
• Train and validate both deep learning-based and statistical-based models considering use-case, complexity, performance, and robustness
• Demonstrate end-to-end understanding of applications and develop a deep understanding of the “why” behind our models & systems
• Partner with product managers, tech leads, and stakeholders to analyze business problems, clarify requirements and define the scope of the systems needed
• Work closely with data platform teams to build robust scalable batch and realtime data pipelines
• Collaborate with software engineers, build tools to enhance productivity and to ship and maintain ML models
• Drive high engineering standards on the team through mentoring and knowledge sharing
• Uphold engineering best practices around code reviews, automated testing and monitoring

Qualifications 

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

Required:

• 7+ years of applied ML experience with proficiency in Python
• Strong background in the foundations of Machine Learning and building blocks of modern Deep Learning
• Track record of building, shipping and maintaining Machine Learning models in production in an ambiguous and fast paced environment.
• Track record of designing and architecting large scale experiments and analysis to inform product roadmap.
• You have a clear understanding of frameworks like - PyTorch, TensorFlow, or Keras, why and how these frameworks do what they do
• Familiarity with ML Ops concepts related to testing and maintaining models in production such as testing, retraining, and monitoring.
• Demonstrated ability to ramp up, understand, and operate effectively in new application / business domains.
• You’ve explored modern data storage, messaging, and processing tools (Kafka, Apache Spark, Hadoop, Presto, DynamoDB etc.) and demonstrated experience designing and coding in big-data components such as DynamoDB or similar
• Experience working in an agile team environment with changing priorities
• Experience of working on AWS

Desired:

• Experience with Large Language Models

Location

This role will be remote, and based in India

Travel

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.

What We Offer

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

See yourself at Twilio

Join the team as our next Data Platform Product Manager in the Data Governance and Insights team..

About the job

This position is needed to own Twilio's Data Governance initiatives across Twilio. This position is based in India. You will touch many teams within Twilio to ensure safe customer data handling, supporting data privacy and compliance. This team manages data pipeline security, data reliability, and ensuring access controls. We are also the bridge to the reporting systems trusted by customers, executives and shareholders.

Responsibilities

In this role, you’ll:

• Lead the product requirements required to build and operate a central data catalog as a metadata store.
• Drive Data Governance initiative, working across various organizations and stakeholders.
• Understand the needs of our customers for operational and analytical purposes, and execute on governance of the data pipeline with required access management to fulfill these requirements.
• Craft and deliver a vision for data governance at Twilio, working side by side with other product managers and engineering counterparts across Twilio R&D.

Qualifications 

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

*Required:

• Someone with 10+ years of product management experience in a fast-paced company. If you have a strong work ethic and know how to knock down barriers to get to your objective this might be the opportunity for you.
• Strong background in Data Governance, having led at least one initiative that included cataloging metadata, data reliability, sensitive data classification and access management.
• Worked on data platforms, customer engagement platforms, or streaming applications. Proficiency in the big data ecosystem e.g. Kafka, Spark, Presto/Athena, or similar technologies.
• Technically savvy and experienced with the cloud, APIs, communications, enterprise software, data reliability, and ETL techniques.
• You have a customer oriented approach. You have an amazing ability to understand the customer’s challenges and are able to articulate a vision to solve challenges to make an impact. 
• The ability to solicit customer requirements from many - often opposing - sources, prioritize, and work with engineering and design to deliver.
• You are a strategic problem solver and flourish operating in broad scope, from conception through continuous operation of 24x7 services.
• You have solved sophisticated problems and have the aptitude to navigate uncharted waters.

Desired:

• Collaborative approach and ability to work with distributed, cross-functional teams.
• Great communication skills. You're equally at home on zoom presenting to an audience of developers as you are on a zoom talking to users and then coming up with product requirements. Your best days are the ones where you do both on the same day.
• Bachelor’s degree Computer Science, Engineering or equivalent experience required.

Location

This role will be remote, and based in India.

Travel 

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.

What We Offer

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

Metropolis is seeking a proactive, customer-centric IT Support Tech, Tier 1 to join our Global Service Desk based in India. You will serve as the first point of contact for our North American domestic enterprise, providing high-quality phone and digital support to employees spanning from our West Coast corporate headquarters to our primary East Coast offices. The ideal candidate will be responsible for resolving foundational technical issues while maintaining exceptional verbal clarity and professionalism, ensuring business continuity across all U.S. based time zones through high-touch partnerships and technical expertise.

What you'll do

• Serve as the face of IT, delivering high-touch support across live phone queues and Jira Service Management to ensure a seamless experience for our global workforce
• Master the Metropolis identity stack to resolve complex JumpCloud MFA hurdles and credential synchronization issues
• Act as a remote diagnostic expert for the Windows ecosystem and Google Workspace, resolving connectivity and software roadblocks
• Provide dedicated technical oversight for VPN stability and network resource access to safeguard mission-critical operations
• Translate intricate technical workflows into clear, actionable guidance for non-technical users while maintaining a white-glove service standard
• Maintain high-integrity records of all support interactions within Jira to ensure accurate data for escalation and trend analysis
• Champion enterprise security by coaching users on MFA best practices and proactive credential management
• Recognize high-complexity technical barriers early and facilitate warm hand-offs to senior engineering teams to minimize user downtime
• Experience leveraging AI tools to transform static workflows into responsive, high-output processes

What we're looking for

• 1+ years of experience in a high-volume technical call center or phone-based IT Support
• Exceptional command of the English language with clear, professional diction and a customer-first communication style
• Demonstrated experience with Identity Providers such as JumpCloud, Active Directory, or Okta
• Experience utilizing remote desktop support tools
• Solution-oriented mindset with the ability to remain calm and professional under pressure
• Ability to work a rotating shift schedule that aligns with North American business hours
• Ability to operate a computer and document notes in real-time at 40+ WPM

3 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins.#LI-SR1 #LI-Onsite

A LITTLE BIT ABOUT THE ROLE:  

Join us, where we’re building the next generation of brand creativity - powered by Pencil Pro, our in-house GenAI platform. As AI Creative Lead, you’ll be part of a lean global AI team that shapes how creative work is generated, tested, and deployed across some of the world’s most iconic brands. 

This is a hands-on, highly visual and experimental role, working with advanced generative tools like VEO 3.1, ChatGPT 5.2, Gemini 3 Pro and new Models as they merge within a structured sandbox environment. You’ll co-design new creative formats, run pilots, and support creative teams in applying these technologies confidently. 

We’re not looking for a classic art director. We’re looking for someone with creative instinct and systems thinking, who can bridge ideas with execution — and help others do the same.

WHAT YOU WILL BE DOING:

Creative AI Innovation & Prototyping 

• Build and evolve creative GenAI assets — from static visuals to image generation agents 
• Develop and document creative prompt systems, reusable templates, and agentic creative flows 
• Translate ambiguous requests into actionable creative directions and outputs 

Studio Enablement & Creative Support 

• Work directly inside our Pencil Pro ecosystem, building and testing prompt systems, templates, and image agents 
• Partner with studios across markets to bring GenAI creative capabilities into everyday workflows 
• Guide teams through image generation, format development, visual troubleshooting, and creative use of AI 
• Lead hands-on training, champion sessions, and co-creation demos with local and global creatives 
• Support enablement through asset packs, prompt kits, and layout systems designed for scaling 

Creative AI Innovation & Prototyping 

• Design and evolve generative creative outputs for POSM, social, packaging, and eCommerce 
• Build structured prompts, visual templates, and creative logic using Pencil and AI Sandbox 
• Develop new asset formats (e.g. I2V key visuals, image-to-layout systems, I2V, VO, Sound and Music generation) 

Client-Facing Creative Exploration 

• Co-develop and present pilots, proof-of-concepts and creative experiments with Head of AI 
• Help stakeholders understand the potential of AI — and how to brief, prompt, and judge GenAI work 
• Contribute to strategic propositions that showcase creative speed, scale, and visual performance 

Creative Workflow Troubleshooting 

• Act as an escalation point for AI visual quality or misalignment issues across studios 
• Help resolve prompt inconsistency, style mismatch, or fidelity breakdowns across creative tools 
• Support structured feedback loops and help maintain creative QA within Pencil Pro 

Tool & Model Exploration 

• Work with emerging model capabilities (e.g. VEO 3.1, GPT-5.2, Gemini 3 Pro Thinking) in coordination with the platform team 
• Share learnings from pilot formats to guide tooling and interface development 
• Feed future-facing concepts into the global AI roadmap 

WHAT YOU WILL NEED TO BE GREAT IN THE ROLE 

AI Creative Skills 

• Confident working hands-on inside structured GenAI platforms like Pencil Pro 
• Experience designing for image and video agents, key visual generation, and I2V pipelines etc. 
• Understanding of how to prompt and troubleshoot within systems like VEO, ChatGPT, and Gemini 
• Strong visual sensibility – comfortable iterating visual assets, scoping image prompts, and briefing creative direction 
• Bonus: Familiarity with structured layout design, modular templates, or agent-style thinking 

Strategic & Operational Mindset 

• Able to bring clarity to creative ambiguity — and structure to iterative work 
• Comfortable collaborating with operations, strategy, tech, and production 
• Strong communicator — visually and verbally — in explaining AI creative workflows 
• Confident presenting work-in-progress to clients, peers, and partners 

Personal Attributes 

• Proactive, resilient, and self-starting 
• Energised by experimentation and co-creation 
• Detail-focused, visually literate, and highly collaborative 
• Comfortable working in beta environments and helping build new ways of working 

Req ID - 16524

#LI-PG1 #BTG+

Role:  AI Training Manager

Location:  Remote until further notice

About the role -

This is an opportunity to join Brandtech Plus, embedded within a global FMCG organisation, as an AI Trainer delivering hands-on AI capability programmes for internal teams.

AI is reshaping how creative and marketing work gets done — and this role puts you at the centre of that shift. Based in India, you'll deliver training that builds genuine, practical AI proficiency across a range of learners: from onboarding new team members to upskilling client contacts. Your ability to translate complex AI concepts into clear, actionable learning experiences will enable people to work with greater confidence, quality, and efficiency

What you will be doing:

• Deliver live and asynchronous AI training sessions for internal teams and FMCG client stakeholders, adapting content and approach to different experience levels and learning needs
• Run onboarding workshops that embed AI tools and workflows from day one
• Facilitate hands-on, practical sessions that build real capability — not just awareness
• Host regular office hours and troubleshooting clinics to support ongoing adoption across teams
• Manage and maintain training calendars, ensuring sessions are well-planned, communicated, and resourced
• Collect and analyse participant feedback; report insights and recommendations to the Enablement Lead
• Keep training materials, guides, and resources current as tools and workflows evolve
• Identify skill gaps and adapt programme content and delivery accordingly
• Build effective working relationships with internal and client stakeholders to ensure training lands well

What you need to be great in this role:

• Experience designing and delivering AI capability training for varied audiences — including internal teams and external client or stakeholder groups
• Solid understanding of generative AI tools and their practical application in creative, marketing, or content workflows, with the ability to teach these clearly and confidently
• Strong facilitation skills: able to engage learners of different backgrounds and adapt delivery in the moment
• Experience tailoring content for different learning styles, cultural contexts, and seniority levels
• Ability to translate technical AI concepts into clear, practical, jargon-free learning experiences
• Good communication and stakeholder management skills; comfortable working with and presenting to senior contacts
• Experience managing training logistics: scheduling, materials, calendar management, and feedback collection
• A structured, proactive approach to planning and running training programmes

Gen AI & Agentic Thinking

• Proficiency with generative AI tools relevant to creative, marketing, or content workflows
• Experience building AI-assisted workflows and the ability to train others on effective, responsible usage
• Ability to critically evaluate AI outputs and apply human judgement — and to teach others to do the same
• Agentic approach to problem-solving: breaking down complex training challenges into clear, manageable steps

Req ID - 17530

#LI-PG1 #BTG+

Role:  AI Program & Execution Manager

Location: Remote until further notice 

About the role: 

As AI Program and Execution Manager, you'll be the operational backbone of our AI portfolio. Based in India, you'll coordinate execution across in-market, Enablement, and Operations workstreams — tracking progress, managing interdependencies, and ensuring that what gets planned gets done. You'll work closely with AI leads, technology teams, and senior stakeholders, preparing executive-ready updates and keeping delivery on track across a fast-moving, complex programme landscape.

This is a high-visibility role for someone who thinks systematically, communicates with clarity, and takes genuine satisfaction in turning ambiguity into momentum.

What you will be doing: 

• Maintain the master AI initiative tracker, providing clear and up-to-date visibility of progress, priorities, and status across all active programmes
• Track execution across in-market, Enablement, and Operations workstreams — identifying risks, blockers, and bottlenecks before they impact delivery
• Coordinate cross-functional delivery timelines, managing interdependencies between teams and maintaining alignment across the portfolio
• Prepare executive-ready updates, dashboards, and programme summaries for senior leadership
• Monitor action items and follow-ups across the portfolio, driving accountability and ensuring timely resolution
• Escalate blockers to leadership with clear context and recommended paths forward
• Support portfolio implementation planning, including resource allocation and capacity visibility
• Facilitate alignment sessions and working groups to maintain delivery momentum across functions
• Identify opportunities to strengthen programme governance frameworks and improve delivery processes
• Partner with AI leads, technology teams, and business stakeholders to ensure clear ownership and coordination at every stage

What you need to be great in this role: 

• Experience in programme or project management within technology, AI, digital transformation, or data-led environments
• Proven ability to coordinate complex, multi-workstream programmes across cross-functional teams
• Confidence preparing and communicating executive-level updates, progress reports, and dashboards for senior stakeholders
• Experience managing programme governance, risk and issue logs, and delivery trackers
• Proactive approach to surfacing and resolving delivery blockers — you don't wait to be asked
• Strong stakeholder management skills — equally effective partnering with senior leaders and operational teams
• Comfortable navigating fast-moving, ambiguous environments where priorities evolve
• Familiarity with AI, digital, or data transformation programmes
• Proficiency with project management and collaboration tools such as Asana, Monday.com, Jira, Airtable, or similar
• Gen AI proficiency: able to use generative AI tools to improve efficiency, enhance documentation quality, and support programme reporting workflows
• Agentic thinking: ability to break complex delivery challenges into clear, manageable steps and drive outcomes systematically

Req ID: 17528

#BTG+ #LI-PG1

The Role

We are currently seeking a Staff Software Engineer, Infrastructure to join the AI Platform team that powers seamless insights and interaction through natural language and data intelligence across our AI products.

As a Staff Software Engineer, you’ll architect, build, and operate the backend and platform systems that power AI Platform. You’ll work across service design, distributed systems, cloud infrastructure, event-driven processing, observability, CI/CD, and production reliability, helping shape the technical direction of a platform that supports scalable, client-facing AI experiences.

This role requires a strong software engineering foundation combined with deep infrastructure and systems thinking. We are looking for an engineer who can write high-quality production code, make sound architectural tradeoffs, and own platform capabilities end-to-end — not someone focused only on scripting, cloud configuration, or infrastructure tooling in isolation.

You will collaborate closely with frontend, product, and AI/ML engineers to deliver reliable, secure, and scalable systems that align with Addepar’s standards of performance, resilience, and trust.

Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position.

What You’ll Do

• Design, build, and operate backend services and infrastructure that power AI Platform products.
• Write high-quality production code for platform and service layers, with strong emphasis on maintainability, reliability, and performance.
• Architect and evolve distributed systems that support AI Platform capabilities such as real-time interactions, asynchronous processing, and secure data workflows.
• Build and extend cloud-native infrastructure across core services, networking, storage, identity, and observability layers.
• Design and maintain infrastructure as code using Terraform, including reusable modules, environment management, and drift-safe workflows.
• Build and operate Kubernetes/EKS-based services, including deployment strategies, health checks, scaling configuration, and containerization workflows.
• Design and improve CI/CD pipelines, release workflows, and engineering productivity systems.
• Build and maintain asynchronous and event-driven systems using queues, RPC/service communication, and resilient failure-handling patterns.
• Design and evolve relational and NoSQL data models, including schema design, migrations, replication, and access patterns.
• Build and maintain observability across metrics, logs, tracing, dashboards, and alerting.
• Apply secure-by-default engineering practices across IAM, secrets, encryption, network isolation, and production operations.
• Mentor engineers through code review, design review, incident reviews, and technical guidance.
• Drive technical decisions that improve platform reliability, scalability, developer productivity, and long-term system health.

Who You Are

• Bachelor’s degree in Computer Science, Engineering, or related technical field (or equivalent practical experience).
• At least 8+ years of professional software engineering experience, including significant experience in backend, infrastructure OR platform oriented work.
• Strong proficiency in at least one production backend language such as Python, Go, OR Java and the ability to work effectively across a polyglot environment.
• Strong software engineering fundamentals, including system design, debugging, code quality, testing, and operational ownership.
• Deep hands-on experience with cloud infrastructure in production environments.
• Strong experience with infrastructure-as-code workflows such as Terraform or equivalent tools.
• Experience with Kubernetes/EKS, Docker, and modern deployment practices.
• Experience designing or extending CI/CD pipelines in production environments.
• Experience with distributed systems, microservice communication, message queues, asynchronous processing, and failure handling.
• Experience with both relational and NoSQL database design in production systems.
• Strong observability and production-debugging skills.
• Strong communication, collaboration, and mentoring skills.
• Ability to operate as a software engineer first: we are not looking for someone who is only strong in scripting, cloud configuration, or infrastructure tooling without corresponding depth in production software engineering.

Bonus

• Experience with AI/ML platform tooling such as Databricks, Spark, MLflow, or model-serving systems.
• Experience with real-time streaming or WebSocket-based systems at scale.
• Experience with multi-region architectures, data residency, or failover design.
• Experience in fintech or other highly regulated environments.
• Experience optimizing platform cost, performance, and reliability tradeoffs at scale.

Job Title: Senior Designer 

Role: Freelancer

Duration: 3 months

Location: Mumbai, India

About the role: 

Working in true collaboration with our client with one goal in mind: ‘to be the leading agency partner for the development of stunning and effective needs based content and digital media campaigns’. 

These brands are at the forefront of contemporary thinking, utilising in depth insight for digital strategy and content advertising. They are also dedicated to sustainability and foregrounding a brand purpose, which means the work we do with them requires working creative thinking into every brief, regardless of scale. 

We want to create industry-leading, world class work that’s truly beautiful, smart, and effective. To help us achieve our goal, we are looking for a strong, highly motivated and conceptual designer with beauty and BPC creds to join us in this exciting ambition. 

As Senior Designer you will be an experienced digitally focused designer, comfortable taking design projects from brief through to completion, providing new ideas and creativity whilst working closely with the client’s brand guidelines. You will be producing design to the client’s brief and exacting standards whilst positively influencing clients with your creative input in addition to undertaking and pitching new creative concepts. You will be expected to work on a range of creatives from e-commerce to social media, bringing simplicity in design to the most complex briefs. 

What you will be doing: 

• Producing beautiful and innovative designs for our client’s websites, e-commerce (A+ and Shopalyst) pages and social media channels. 
• To be responsible for the full design lifecycle from concept to execution. 
• To develop a deep understanding of target audiences and the client’s marketing strategy to deliver high quality results that have an instant, positive impact on the consumer, promoting products and brands. 
• To pitch creative solutions in response to marketing strategies. 
• To oversee and manage the preparation of all finished files that will comply with the correct output specifications.

What you need to be great in this role: 

• Looking for someone with 4 to 6 years of experience. 
• Expertise in beauty and skincare brands - should have at least 1+ years of relevant experience working with skincare/beauty brands. 
• A passion for design and conception. 
• You'll have a deep affinity with layout, typography and idea-generation. 
• Ability to take ownership of projects from concept through to completion. 
• Consistent record of taking on, interpreting and delivering design projects within agreed deadlines. 
• Attention to detail with the ability to work under own initiative. 
• Excellent experience working closely with clients during kick-off. 
• Confident in bringing your own innovative ideas and creativity to projects whilst working within a broad range of design guidelines across a variety of design collateral. 
• Strong client liaison, with a proven track record of developing strong client relationships. 
• Effectively organising and prioritising workloads to manage client delivery whilst simultaneously influencing clients with your own ideas and conceptual creativity. 
• Excellent Adobe CS skills. 
• Understanding of design principles and an awareness of UX, UI and Responsive Design trends - it is ideal but not essential. 
• Working knowledge of After Effects animation is a bonus. 
• On- and Offline design experience with an emphasis on Digital. 
• Retouching experience and skills to mid-level. 
• Experience in creating in-house content. 
• Expertise in beauty and BPC brands 
• Confident and comfortable working in a fast-paced, changing client environment. 
• A passionate and inspiring creative. 
• The aptitude to learn new software and programmes efficiently and effectively. 
• Self-motivated, working with little supervision. 
• Collaborative team player, open minded – non-political. 
• Discrete about all confidential and personal information. 
• Driven, proactive, helpful, and enthusiastic team player. 
• Passion for and inquisitive about AI and new technologies 
• Understanding and knowledge of AI tools is beneficial, but ability to learn and digest benefits and features of AI tools is critical 

Req ID: 17534

#LI-SS1 #LI-Onsite

Job Title: Designer 

Role: Freelancer

Duration: 4 months

Location: Mumbai, India

About the role: 

Working in true collaboration with our client with one goal in mind: ‘to be the leading agency partner for the development of stunning and effective needs based content and digital media campaigns’. 

These brands are at the forefront of contemporary thinking, utilising in depth insight for digital strategy and content advertising. They are also dedicated to sustainability and foregrounding a brand purpose, which means the work we do with them requires working creative thinking into every brief, regardless of scale. 

We want to create industry-leading, world class work that’s truly beautiful, smart, and effective. To help us achieve our goal, we are looking for a strong, highly motivated and conceptual designer with beauty and BPC creds to join us in this exciting ambition. 

As a Designer you will be an experienced digitally focused designer, comfortable taking design projects from brief through to completion, providing new ideas and creativity whilst working closely with the client’s brand guidelines. You will be producing design to the client’s brief and exacting standards whilst positively influencing clients with your creative input in addition to undertaking and pitching new creative concepts. You will be expected to work on a range of creatives from e-commerce to social media, bringing simplicity in design to the most complex briefs. 

What you will be doing: 

• Producing beautiful and innovative designs for our client’s websites, e-commerce (A+ and Shopalyst) pages and social media channels. 
• To be responsible for the full design lifecycle from concept to execution. 
• To develop a deep understanding of target audiences and the client’s marketing strategy to deliver high quality results that have an instant, positive impact on the consumer, promoting products and brands. 
• To pitch creative solutions in response to marketing strategies. 
• To oversee and manage the preparation of all finished files that will comply with the correct output specifications. 

What you need to be great in this role: 

• 2+ years of expertise in beauty and BPC brands 
• You'll have a deep affinity with layout, typography and idea-generation. 
• Ability to take ownership of projects from concept through to completion. 
• Consistent record of taking on, interpreting and delivering design projects within agreed deadlines. 
• Attention to detail with the ability to work under own initiative. 
• Excellent experience working closely with clients during kick-off. 
• Confident in bringing your own innovative ideas and creativity to projects whilst working within a broad range of design guidelines across a variety of design collateral. 
• Strong client liaison, with a proven track record of developing strong client relationships. 
• Effectively organising and prioritising workloads to manage client delivery whilst simultaneously influencing clients with your own ideas and conceptual creativity. 
• Excellent Adobe CS skills. 
• Working knowledge of After Effects animation is a bonus. 
• On and Offline design experience with an emphasis on Digital. 
• Retouching experience and skills to mid-level. 
• Experience in creating in-house content. 
• A passion for design and conception. 
• Confident and comfortable working in a fast-paced, changing client environment. 
• A passionate and inspiring creative. 
• The aptitude to learn new software and programmes efficiently and effectively. 
• Self-motivated, working with little supervision. 
• Collaborative team player, open minded – non-political. 
• Discrete about all confidential and personal information. 
• Driven, proactive, helpful, and enthusiastic team player. 
• Passion for and inquisitive about AI and new technologies 
• Understanding and knowledge of AI tools is beneficial, but ability to learn and digest benefits and features of AI tools is critical 

Req ID: 17536

#LI-SS1 #LI-Onsite

Job Title: Copywriter

Role: Freelancer

Duration: 4 months

Location: Mumbai, India

About the role:  

Working in true collaboration with our client, we have one goal in mind: ‘to be the leading agency partner for the development of stunning and effective Needs based content and digital media campaigns’.  

The brands are at the forefront of contemporary thinking, utilising in depth insight for digital strategy and content advertising. They are also dedicated to sustainability and foregrounding a brand purpose, which means the work we do with them requires working creative thinking into every brief, regardless of scale.  

As a Copywriter you will be an integral part of the team. You will need to combine deep understanding of the trends and concerns inherent to the beauty industry with a varied skill set that will include copywriting, investigative research, script writing, conceptual thinking and content project planning. The role will primarily involve writing for digital/web: you’ll help brands fit their tone of voice to this landscape and advise on content that’ll powerfully connect with consumers. To do this you’ll need to be an expert storyteller able to find interesting and engaging ways of dramatizing subject matters, extremely digitally savvy and comfortable writing with SEO in mind.  

You’ll also occasionally be asked to team up with other client creatives to help conceptualise larger projects (I.E. videos, key visuals, social media campaigns). And due to the nature of OLIVER’s in-house agency model you’ll also need to be confident interacting directly with clients.  

What you will be doing:  

• Write, research and conceptualise creative, innovative content that brings readership and encourages sharing  
• Write short and long form articles  
• Repurpose existing content for different uses  
• Master a variety of brand voices  
• Work closely with clients to create strong concepts from initial briefing through to execution  
• Set tone and drive creativity, working closely with the Creative Director-Copy(CD/ Account Director) and Data Strategists to ensure creative excellence  
• Maintain a high awareness of relevant trending topics and news to identify content opportunities  
• Be responsible for working with internal teams to gather input and validate the content  
• Ensure consistency and quality across all written content  
• Present and articulate concepts to clients   

What you will need to be great in this role:  

• 4+years strong experience writing for digital. Must be comfortable creating content with SEO in mind  
• A background in a corporate or journalism environment  
• A thorough understanding of the language and needs inherent to writing for beauty brands  
• Experience of publishing through social media channels and content management systems  
• A powerful grasp of how content can play out across multiple mediums  
• Able to use data and insight to inform creative  
• A flair for words  
• The ability to think conceptually when needed. Experience working as part of a traditional creative team (designer and copywriter) would be helpful  
• Demonstrated ability to combine and translate complex material from different sources and contexts into stories and content that engage and resonate with target audiences  
• Confident presenting and communicating clearly to other team members and clients.  
• Passion for and inquisitive about AI and new technologies   
• Understanding and knowledge of AI tools is beneficial, but ability to learn and digest benefits and features of AI tools is critical 

Req ID: 17533

#LI-SS1 #LI-Onsite

Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta’ s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values.

Truveta was born in the Pacific Northwest in the USA and has employees who live across the country. As we expand our global footprint with a new presence in Hyderabad, India, we’re building a world-class team to help us scale this mission and Clinical Intelligence and AI Evaluation is at the heart of everything we do. This job requires daily onsite work at our headquarters in Hyderabad, India.

Who We Need

Truveta is rapidly building a talented and diverse team to tackle complex health and technical challenges. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you.

This Opportunity

This Clinical Data Analyst position is a high impact, intellectually challenging role that requires a diverse set of analytical and technical skills. It provides unique opportunities for growth using an unprecedented amount of high-quality real-word Electronic Health Record (EHR) data and clinical notes data and become a nexus of healthcare and technology. You will be solving meaningful and consequential problems in healthcare using an EHR and clinical notes database of 120 million US patients (and growing!) and help drive insights that can ultimately improve and impact on patient care. This position will report to our Director of Clinical Intelligence and AI Evaluation team and support end-to-end evaluation, extraction, execution and delivery of custom concepts from clinical notes and EHR data to help our customers dive deeply into complex research questions related to human health and generate data-driven insights that support impactful scientific decisions.

Responsibilities

· Use technical skills to scope out clinical informatics data analyses requests from both internal and external customers, produce studies and results within an agreed deadline.

· Communicate on the status of various projects and collaborate with multidisciplinary stakeholders to ensure that clinical data projects are successfully executed and delivered.

· Excel in providing technical analytics support as well as directly working with internal stakeholders to troubleshoot any data analyses. Work with customers to achieve their goals, teaching them how to wrangle and analyze data using SQL, R and Python on real-world data to address their empirical questions.

· Write Databricks SQL queries to extract, analyze and interpret clinical concepts from clinical notes per customer requests.

· Create dashboards, data visualizations, and data tools to support data-driven decision making.

· Create enablement materials and studies as the Truveta platform evolves to help new researchers to increase our capabilities.

· Collaborate closely with other Truveta teams to conduct investigations of data sources to demonstrate veracity to current internal and external customers.

· Deliver feedback to internal teams based on customer requests to inform Truveta’s product roadmap.

Required Skills

· Graduate or Masters level educational degree in clinical research, data analysis, data science, clinical informatics, health information management or related fields.

· 3+ years of demonstrated experience conducting analyses using large healthcare datasets (e.g., electronic health records, clinical notes or other real-world data sources consisting of millions of patients' data.).

· 3+ years of demonstrated experience working with customers or research teams to translate their asks into executable analytical code, rigorous quality analytical datasets, deliver high quality research analyses.

· Strong proficiency in SQL, at least one statistical programming language (R or Python), familiar with Spark bigdata analytics environments, for data wrangling, analysis, and reproducible research workflows.

· Strong hands-on problem-solving skills, troubleshoot and identify data or methodological issues early and communicate them effectively. Have ownership, accountability and reliability mindset.

· Excellent written and verbal communication skills, including the ability to clearly explain analytical approaches and findings to technical and non-technical stakeholders.

· Ability to learn and adapt quickly in a dynamic start-up environment and a good team-player.

· Willingness to learn new analytical tools, programming languages, and proprietary platforms used to analyze real-world data.

Preferred Qualifications

These qualifications are preferred but not required, please do not let them stop you from applying for this role. You will likely get the opportunity to learn how to do these more advanced analyses if you don’t already have experience with them.

· Spark/PySpark, Databricks experience

· Experience working with unstructured clinical data or natural language processing outputs

· Regex query writing experience

· Experience building cohort definitions or eligibility criteria for research studies

Why Truveta? 

Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional and everything in between. We are expanding our global footprint. Join us as we build an amazing company together.

We Offer:

· Interesting and meaningful work for every career stage

· Great benefits package

· Comprehensive benefits with strong medical, dental and vision insurance plans

· Professional development & training opportunities for continuous learning

· Work/life autonomy via flexible work hours and flexible paid time off

· Generous parental leave

· Regular team activities (virtual and in-person as soon as we are able)

Truveta is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Truveta to better meet our mission and serve patients and health communities around the world. We recognize that opportunities in technology historically excluded and continue to disproportionately exclude people from some sections, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people. We strongly encourage individuals with these identities to apply even if you don’t meet all of the requirements

Role:  AI Enablement Lead

Location:  Remote until further notice

About the role - 

This is a defining role for someone who understands how people learn, how organisations change, and how generative AI can genuinely transform the way creative and marketing teams work. Based in India, you'll own the strategy and execution for AI capability development — designing the frameworks, curriculum, and tools that help practitioners across markets understand and use AI with confidence and craft.

From role-based learning programmes and certification pathways to playbooks and adoption frameworks, you'll translate complex AI concepts into practical, accessible guidance and embed them into everyday workflows. You'll work closely with innovation leads, senior stakeholders, and cross-market teams — acting as the studio's primary advocate for responsible, high-impact AI adoption.

What you will be doing: 

• Design and manage a role-based AI learning curriculum that builds capability across levels — from foundational awareness to advanced application
• Define and implement an AI adoption framework that tracks progress, identifies gaps, and drives measurable improvement across markets
• Create and maintain AI certification pathways that recognise capability growth and motivate ongoing development
• Build and maintain a library of AI playbooks, guides, and documentation that are practical, current, and easy to use
• Champion AI adoption across markets — communicating value, building confidence, and addressing barriers to uptake
• Align learning programmes and capability initiatives with the studio's innovation roadmap and strategic priorities
• Partner with discipline leads, innovation teams, and senior stakeholders to identify capability needs and tailor learning accordingly
• Monitor adoption metrics and share insights and recommendations with studio leadership
• Evaluate new generative AI tools and approaches, assessing their relevance and potential integration into the curriculum
• Set quality benchmarks for AI-assisted outputs and guide teams on responsible, effective use
• Manage workstream-level budgets for learning programmes and external resources, driving cost efficiency without compromising quality

What you need to be great in this role: 

Skills and experience

• Demonstrated experience designing and delivering learning or capability-building programmes in a creative, marketing, or technology environment
• Deep working knowledge of generative AI tools and their application across marketing, content, and creative disciplines
• Experience developing frameworks, playbooks, or structured documentation for complex technical subjects
• Ability to translate complex AI concepts into clear, accessible language for diverse audiences and seniority levels
• Experience working across multiple markets or geographies, with an understanding of how adoption challenges vary by context
• Strong stakeholder engagement and influencing skills — able to build buy-in from senior leaders and practitioners alike
• Analytical approach: comfortable using data to assess adoption, identify gaps, and demonstrate impact
• Experience aligning capability programmes with innovation or product roadmaps

Gen AI and agentic thinking

• Expert-level proficiency with generative AI tools relevant to marketing and creative disciplines
• Proven ability to set quality benchmarks for AI-assisted outputs and train others to meet them
• Experience designing and optimising AI workflows for self and team
• Systematic, agentic approach to complex, multi-step challenges
• Strong critical judgment on when AI adds value and when human oversight is essential
• Experience establishing responsible use principles and governance standards for AI tools within a team or studio

Req ID: 17529

#LI-PG1 #BTG+

Job Description

PayPay's rapid growth necessitates the expansion of its product teams and underscores the critical need for a resilient Data Engineering Platform. This platform is vital to support our increasing business demands. The Data Pipeline team is tasked with creating, deploying, and managing this platform, utilizing leading technologies like Databricks, Delta Lake, Spark, PySpark, Scala, and the AWS suite.

We are actively seeking skilled Data Engineers to join our team and contribute to scaling our platform across the organization.

Main Responsibilities

• Create and manage robust data ingestion pipelines leveraging Databricks, Airflow, Kafka, and Terraform.
• Ensure high performance, reliability, and efficiency by optimizing large-scale data pipelines.
• Develop data processing workflows using Databricks, Delta Lake, and Spark technologies.
• Maintain and improve the Data Lakehouse, utilizing Unity Catalog for efficient data management and discovery.
• Construct automation, frameworks, and enhanced tools to streamline data engineering workflows.
• Collaborate across teams to facilitate smooth data flow and integration.
• Enforce best practices in observability, data governance, security, and regulatory compliance

Qualifications

• Minimum 7 years as a Data Engineer or similar role.
• Hands-on experience with Databricks, Delta Lake, Spark, and Scala.
• Proven ability to design, build, and operate Data Lakes or Data Warehouses.
• Proficiency with Data Orchestration tools (Airflow, Dagster, Prefect).
• Familiarity with Change Data Capture tools (Canal, Debezium, Maxwell).
• Strong command of at least one primary language (Scala, Python, etc.) and SQL.
• Experience with data catalog and metadata management (Unity Catalog, Lakeformation).
• Experience in Infrastructure as Code (IaC) using Terraform.
• Excellent problem-solving and debugging abilities for complex data challenges.
• Strong communication and collaboration skills.
• Capability to make informed decisions, learn quickly, and consider complex technical contexts.

• Leverage AI/LLM-based tools in daily workflows (e.g., code development, reviews, testing, debugging, documentation), while ensuring human oversight, judgment, and accountability drive the final product.

Remarks

＊Please note that you cannot apply for PayPay (Japan-based jobs) or other positions in parallel or in duplicate.

PayPay 5 senses

• Please refer PayPay 5 senses to learn what we value at work.

Working Conditions 

Employment Status

• Full Time

Office Location

• Gurugram (Wework)
  

  ＊The development center requires you to work in the Gurugram office to establish the strong core team.
     

Role - AI Platform & Integration Manager

Location - Remote until further notice

About the role - 

As the AI Platform & Integration Manager, you'll own the end-to-end technical health of the studio's AI platforms — ensuring they are well integrated, consistently optimised, and built to scale. You'll bridge technical infrastructure and business output, working cross-functionally with creative, production, and operations teams to ensure the tools the studio depends on work seamlessly together.

What you'll do -

• Own the technical architecture and operational health of AI platforms, serving as the primary point of accountability for platform stability, reliability, and performance.
• Design, build, and maintain API integrations and system connectivity across the AI and content technology stack.
• Configure and continuously optimise AI platforms to improve performance, scalability, and cost-efficiency.
• Build, deploy, and maintain automation workflows that reduce manual effort and accelerate studio operations.
• Manage application integrations and data synchronisation across platforms, ensuring accuracy and consistency of data flows.
• Design and maintain data pipelines; monitor data integrity, identify anomalies, and resolve issues proactively before they impact operations.
• Develop and execute technical QA and testing frameworks to validate platform behaviour, integration reliability, and output quality.
• Maintain clear, accurate documentation of system architecture, integration configurations, and operational processes — accessible to both technical and non-technical stakeholders.
• Evaluate emerging AI tools and integration technologies; provide evidence-based recommendations on adoption and implementation.
• Act as the technical point of contact for platform-related questions from creative, production, and operations teams — translating complexity into clear, actionable guidance.

What you need to be great in this role: 

Technical expertise

• Proven experience owning and managing AI platform infrastructure in a live production environment.
• Strong command of API design and RESTful services, with hands-on integration experience across enterprise or marketing technology stacks.
• Experience building and maintaining automation workflows using modern integration tooling.
• Proficiency in application integration, data synchronisation, and middleware configuration.
• Experience designing, deploying, and monitoring data pipelines with a focus on data integrity and performance.
• Rigorous, systematic approach to technical QA, testing methodology, and issue resolution.
• Ability to produce clear technical documentation for both technical and non-technical audiences.

Collaboration and influence

• Confident communicating technical complexity to non-technical stakeholders without losing precision.
• Able to work cross-functionally with creative, production, and operations teams — translating business requirements into technical solutions.
• Proactive in surfacing risks, dependencies, and platform limitations before they escalate.

Gen AI & agentic thinking

• Advanced use of generative AI tools to enhance platform management, technical problem-solving, and documentation quality.
• Experience designing AI-assisted workflows that improve efficiency and output consistency.
• Ability to guide others on effective, responsible AI tool usage within a platform context.
• Agentic approach to complex, multi-step technical challenges: able to decompose problems, identify optimal paths forward, and execute with precision.
• Strong understanding of AI capabilities and limitations, with rigorous human oversight applied to all outputs

Req ID - 17531

#BTG+ #LI-PG1

CSQ227R231

Mission

The Director of Data & AI Support Engineering - Bangalore will be responsible for leading and growing a regional team of Data & AI technical experts in India, focused on providing resiliency and smooth operation of customer production workloads.  This leader will oversee support operations during APJ and EMEA business hours with close alignment with other global teams to ensure 24x7 support coverage through coordination with other regions.  This team resolves complex and long-running data engineering use cases raised by Databricks customers to support the success of live use cases - which includes performance optimization, ensuring resiliency of production jobs, helping customers stabilize workloads on new products and features, and more.  Reporting to the Global Lead of Frontline Support Engineering - Data & AI - you are able to understand the real-world business problems our customers are solving with data and are committed to helping them achieve reliability and performance of their systems to meet their goals.

The impact you will have:

• Serve as the India site leader for an elite team of Data & AI specialists that can provide coverage of customers across EMEA & APJ business hours.
• Grow the technical expertise of the team to support successful adoption of new products and features of the Databricks platform for customer production workloads.
• Engage with top customers to understand how to support their business needs with their Data & AI strategy, in collaboration with field engineering and sales when required.
• Partner with internal product engineering teams to make Databricks products better and more supportable.
• Understand how to maintain high reliability of the Databricks platform to successfully achieve customer business goals.

Competencies & Requirements

• Proven people leadership experience: at least 6+ years as a manager of managers.
• 18+ years in the IT industry, with a strong background in Software Engineering with specialization in Data Engineering, ideally with Big Data & Cloud experience.
• Experience leading large teams (100+ employees) in engineering, technical support, or consulting.  Support experience is not required - but customer facing experience is highly desirable.
• Hands-on experience in at least two of the following at production scale:
• Big Data (Spark, Hadoop, Kafka)
• Machine Learning / Artificial Intelligence projects
• Data Science / Streaming use cases
• Spark expertise is a big advantage.
• Strong background in customer-facing support leadership roles.
• Excellent troubleshooting skills across distributed systems.
• Strong ownership mindset with ability to thrive in a fast-paced, startup-like environment with evolving needs.
• Bachelor’s/Master’s in Computer Science or equivalent technical field.

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

Now, more than ever, the Toast team is committed to our customers. We’re taking steps to help restaurants navigate these unprecedented times with technology, resources, and community. Our focus is on building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. And because our technology is purpose-built for restaurants, by restaurant people, restaurants can trust that we’ll deliver on their needs for today while investing in experiences that will power their restaurant of the future. 

Bready* to make a change?

Toast is looking for a Staff Machine Learning Engineer to serve as a technical linchpin for our AI Platform team. At the P4 level, you aren't just deploying models; you are designing the fundamental infrastructure that enables dozens of teams to build, deploy, and monitor AI at scale. You will act as a force multiplier, mentoring senior engineers and setting the architectural standards for our MLOps lifecycle—from feature stores and automated retraining to high-performance inference at the edge.

About this Roll*:

• Architectural Leadership: Design and lead the evolution of a unified MLOps platform that supports diverse needs across Toast, ensuring high availability, scalability, and security of ML services.
• Engineering Excellence: Champion and institutionalize best practices for CI/CD for ML (MLOps), automated testing, and infrastructure-as-code (Terraform).
• Cross-Functional Synergy: Lead collaborative efforts across Data Engineering, DevOps, and Product teams to bridge the gap between model prototyping and production-grade reliability.
• Strategic Roadmapping: Partner with leadership and Product Managers to define the 1-2 year technical vision for AI infrastructure, prioritizing long-term stability over short-term fixes.
• Operational Ownership: Set the standard for observability and incident response for ML systems, driving root-cause analysis for complex system failures.
• Mentorship: Actively mentor P2 and P3 engineers, fostering a culture of technical rigor and continuous learning.

Do you have the right ingredients*?

• Education: Bachelor’s or Master’s degree in Computer Science, AI, or a related technical field.
• Experience: A minimum of 10-12+ years of professional software engineering experience, with at least 6-7 years specifically focused on productionizing and scaling ML systems at the enterprise level.
• Core Tech Stack: Expert-level proficiency in Python, Scala, or Java/Kotlin. Extensive experience with PySpark and high-performance computing.
• Generative AI & LLMOps: Proven track record of taking LLM applications from research to production, including experience with Vector Databases, LangChain/LangGraph, and A2A protocols.
• System Design: Superior ability to design distributed systems that handle millions of requests with sub-second latency.
• Experience with microservice based architecture, preferably with AWS tooling (SageMaker, DynamoDB, Athena, Glue, etc.)
• Experience in software engineering best practices and tools including object-oriented programming, test-driven development, CI/CD, git, shell scripting, task orchestration, MLflow
• Profound knowledge of model deployment, orchestration (Apache airflow, Prefect), scaling, and managing CPU/GPU resources efficiently. 
• Exceptional problem-solving, analytical skills and the ability to tackle complex problems with a critical thinking approach. 
• Outstanding communication and interpersonal skills, coupled with a demonstrated ability to work collaboratively within a team environment.
• Foundational knowledge in statistical concepts (e.g. classification, regression, etc) and deep learning algorithms (e.g. CNN, RNN) is desirable

Bonus Ingredients (The "Staff" Edge)

• Data Strategy: Experience implementing enterprise-grade Feature Stores (e.g., Tecton, Feast) and real-time streaming frameworks like Apache Flink or Ray.
• Full-Stack Visibility: Ability to dive into the UI/UX layer (React) or deep into the kernel/networking layer to debug performance bottlenecks.

Open Source/Community: Contributions to relevant open-source projects (MLflow, Kubeflow, etc.) or a history of speaking at industry conferences.

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

Why we're hiring:

As a Data Engineer in the WPP Enterprise Data Group, you will be responsible for the design and implementation of scalable data solutions providing enterprise-scale data transformation across a broad range of projects.

Your role will focus on delivering solutions that utilize large-scale data ingestion, processing, storage/querying, streaming, and batch analytics using Databricks. As part of a team, you will implement world-class solutions designed by our data architects. Your responsibilities will include estimating, designing, coding, testing, deploying, and ensuring scalability and performance on Azure using key technologies like Databricks.

As a hands-on technologist with an extensive data engineering background using Databricks, you will be joining a group of Data Engineers who are passionate about building the best possible solutions for our business and endorse a culture of life-long learning and collaboration.

What you'll be doing:

• Design, build, test and maintain data pipelines (ELT), according to business and technical requirements.
• Implement secure platforms with data governance in mind.
• Play a key role in automation and building industry leading solutions against architectural best practices.
• Propose technical designs and develop integrations.
• Deliver data migrations between legacy & modern platforms
• Design & deliver data warehousing solutions and key data engineering workstreams for any required solution.
• Support cross-functional teams across the data space.

What you'll need:

Minimum requirements for this role include:

• 3+ years of experience designing and building scalable distributed data pipelines and dimensional data models
• 3+ years of experience in Python and SQL
• Experience using Databricks platform and PySpark is a must.
• Extensive experience of Microsoft Azure data services – Data Factory, ADLS gen2, Event Hubs, Azure SQL, Azure Key Vault
• Ideally experience in the following – Kafka, Delta Lake, Pandas
• A demonstrable understanding of Continuous Integration, Continuous Delivery (CI/CD) and Agile practices, unit & integration tests and development practices using Azure DevOps.
• Fluency in English.
• Exposure to AI & ML technologies is a plus.

Who you are:

You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.

You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.

You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.

What we'll give you:

Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.

Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.

Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?

#LI-Hybrid 

Role:  Social Marketing Manager

Location:  Mumbai, India 

About the role: 

As Social Marketing Manager for YouTube Marketing in India, you will be shaping and driving the social presence of one of the most culturally significant brands of our times in a dynamic and growing region.

You should have 5yrs of experience driving social strategies and programs that have created impact on marketing and business goals. You are as obsessed about what excites our audiences on social media and our follower communities as you are about what our products can do for them. You are a constant advocate for our users and creators – your ideas are always deeply rooted in what they care about and what delights them. You have deep analytical expertise and experience setting up processes to escalate potential brand risks and respond swiftly and thoughtfully to topics that are important to our users. And you look at social as a way to deepen our connection with communities, relying on data for insights that will drive measurable results.

The role is cross-functional and international - you’ll work with local, regional (APAC) and global YouTube product marketing managers as well as local XFN teams (e.g. partnerships, legal, comms, policy). You’ll deepen brand engagement, elevate our social presence, drive positive brand sentiment and engagements, and provide frequent and clear analysis to management allowing the organization to develop a strong grassroots understanding of what our users and creators care about. Beyond building impactful social and influencer marketing strategies that bring the brand to life across social channels, you’ll also work with the regional social marketing team on including proactive and reactive social listening and issue management. You will be a part of the YouTube APAC Social Marketing Team and will report to the Social Marketing lead for YouTube India Foundational in Oliver. 

What you will be doing: 

• Always-on editorial and community management: 
• Lead the strategies and operations of YouTube India’s Shorts Channel
• Elevate our always-on content and community management based on our team missions, handle strategies, and OKRs.
•  
• Initiatives: 
• Partner with marketing peers and leadership locally and across regions to help develop programs, campaigns, strategies and GTM plans that deliver intended business results and in line with business and campaign goals across YouTube’s verticals and audiences 
• Engage and lead social media, influencer and content agencies to build effective campaigns for key YouTube products and campaigns targeted at viewers, casual and intentful creators, with clear strategy to deliver optimal creativity and innovation. 
• Social Insights: Partner Insights & Analytics team and analytics agencies to track and share 
• Social impact on YouTube business goals. 
• Social performance indicators to monitor the health of the YouTube brand in India. 
• Campaign performance reporting and learnings
• Insights from YouTube social that can impact broader YouTube marketing
• Rapid Response: Work closely with global and regional social/PR/legal/policy teams as part of a Global Rapid Response Team to put in place round-the-clock social listening/monitoring workflows and processes, proactive and reactive escalation and management of user sentiment across social platforms.
• Operations: Support FTE in compliance with regards to the SOWs, POS and invoices of external agency partners

What you need to be great in this role: 

Minimum qualifications: 

• Bachelor’s degree or equivalent work experience.
• Experience in planning, executing and optimising social media and influencer marketing campaigns or programs
• Experience in working with social media, influencer and content production agency partners
• Excellent English written and oral communication skills. Fluency in Hindi and knowledge of 1-2 other Indian regional languages is an added advantage. 

Preferred Qualifications: 

• Understanding of YouTube’s ecosystem (user, creator, advertiser) and multi-format product (long form, short-form, streaming) with a focus on short form content. A good understanding of YouTube Shorts and its ecosystem (creators, content, trends) is a must! 
• Good record of creativity and data driven optimization, ideally in social media marketing (experience using Sprinklr or BrandWatch is a plus). 
• Understanding of Social Media best practices and campaigns in India, and the best Social brands and agencies. 
• Understanding of the Indian influencer ecosystem, content production and the best in class agencies in the market for each. 
• Experience in social analytics, knowledge of social media monitoring and listening tools – have built and maintained processes to proactively and reactively manage audience sentiment across social platforms.
• Demonstrated strong performance in prior roles, with independence, strong sense of ownership  and ability to form own point of view and recommendations
• Ability to operate and find answers/develop solutions in ambiguity and in a very fast paced environment. 
• Outstanding written and oral communication skills. 
• Strong experience in working with statistical analysis and data mining software is a plus.
• Passion for and inquisitive about AI and new technologies 
• Understanding and knowledge of AI tools is beneficial, but ability to learn and digest benefits and features of AI tools is critical 

Req ID: 17504

#LI-AS2 #LI-Remote

At NICE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you

So, what’s the role all about?

We are seeking a visionary Software Architect to serve as a technical leader for our engineering teams. In this role, you will bridge the gap between high-level strategy and hands-on execution, managing architectural subdomains within a large-scale platform. You will be responsible for guiding engineers toward correct technical paths, making high-stakes decisions, and relentlessly driving innovation and AI-first transformation across the organization.

How will you make an impact?

• Technical Leadership: Lead and influence multiple engineering teams, ensuring architectural alignment and high-quality technical decisions across subdomains.
• System Design: Architect resilient, multi-tenant cloud solutions and distributed event-driven systems that scale.
• Stakeholder Management: Collaborate with product leaders, directors, and cross-functional teams to navigate complex requirements in a multi-domain environment.
• API & Integration Strategy: Define robust API management strategies and ensure system resiliency through modern integration patterns.
• AI Integration: Evangelize and implement AI productivity tools (GitHub Copilot, Agents) and oversee the lifecycle of AI-driven applications utilizing LLMs.

Have you got what it takes?

• Total 14+ years and relevant 8+ years’ experience as Software Architect .
• Cloud Expertise: Proven track record of designing and deploying production-grade systems on AWS using a broad range of AWS native services.
• Architectural Depth: Deep experience in Multi-tenant Cloud Architecture, Event-Driven Systems, and Resiliency Patterns  
• Polyglot Mindset: A "right tool for the job" approach, with a willingness to work across various languages and frameworks in an AI-first environment.
• Communication: Exceptional ability to articulate complex technical concepts to both technical and non-technical stakeholders.
• AI/LLM Proficiency: It will be good to have a person with practical understanding of AI project lifecycle specifically using LLMs and the use of AI agents to accelerate development

• Backend: Advanced proficiency in Java and Springboot Framework. Exposure to Node.js will be a significant plus.
• Infrastructure: Hands-on experience with AWS CloudFormation (YAML) and Infrastructure as Code.
• Data: Strong mastery of SQL required
• Big Data exposure to Apache Spark or Big Data processing will be a bonus.
• Frontend: Solid understanding of modern UI frameworks and frontend development principles.
• Tooling: Expert-level use of Jira, GitHub, GitHub Copilot, and Claude Code/other AI agents for productivity
• Testing : good exposure to automation testing and frameworks for unit testing , integration testing , e2e testing, performance testing.

What’s in it for you?

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr.

Enjoy NICE-FLEX!

At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID:  10835
Reporting into: Director, Engineering, CX
Role Type: Individual Contributor

Job Title: Data Analyst (Python +Pyspark)

 About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the  British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO? 

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

Job Description:

POD Lead with Data Background, Scrum, Agile, Data Migration

• Design, deploy, and scale large-scale ML and data processing pipelines across cloud infrastructure.
• Build systems to ingest, process, and serve 250,000+ hours of multimodal data (video, audio, metadata).
• Architect and optimize GPU-based compute environments (e.g., NVIDIA Tesla clusters) for distributed training and inference.
• Develop high-throughput backend systems for video ingestion from desktop and mobile platforms.
• Implement distributed processing workflows, including job scheduling, fault tolerance, and resource allocation.
• Design and build human-in-the-loop and automated annotation systems to ensure data quality and scalability.
• Translate ML and multimodal research into scalable, production-grade cloud architectures.
• Optimize pipelines for performance, reliability, and cost efficiency across compute, storage, and networking layers.
• Collaborate with ML, data, and engineering teams to deliver end-to-end data workflows.

• 5+ years of experience in data engineering, ML pipelines, or distributed systems.
• Strong experience building scalable data pipelines for large datasets (video/audio preferred).
• Hands-on experience with cloud platforms (AWS, Azure, or GCP).
• Experience working with GPU-based environments and distributed computing.
• Strong programming skills in Python, Scala, or similar languages.
• Experience with data processing frameworks (Spark, Ray, Kafka, Airflow, or similar).
• Understanding of ML workflows, training pipelines, and inference systems.
• Experience designing fault-tolerant, high-availability systems.
• Strong knowledge of data storage systems (data lakes, object storage, distributed file systems).
• Ability to handle high-throughput, large-scale data ingestion and processing.

• Experience with multimodal AI (video, audio, NLP) systems.
• Familiarity with annotation tools and data labeling workflows.
• Experience with containerization and orchestration (Docker, Kubernetes).
• Knowledge of cost optimization strategies for large-scale cloud workloads.

Job Title: QA Data Engineer

Location: Any Orion Innovation office in India(Pune/Mumbai/Kochi/Coimbatore/Chennai/Hyderabad)

Work type: Hybrid 

Role Description / Responsibilities

A technically skilled QA professional specialising in validating data platforms, ETL pipelines, analytical models, and large‑scale data transformations. The QA Engineer works closely with developers, data engineers, product teams, and business SMEs to ensure the quality, reliability, and accuracy of data assets across the delivery lifecycle. of our digital data audit products.

Core Responsibilities

Data Testing & Quality Assurance

• Design, develop, and execute test plans for data & analytics products, including ingestion pipelines, transformations, data models, and dashboards.
• Apply robust testing techniques for data completeness, consistency, accuracy, timeliness, and lineage.

Technical & Platform Responsibilities

• Write and execute SQL/PL‑SQL queries for data verification, profiling, and root‑cause analysis.
• Use Databricks to inspect data, validate notebook logic, execute test scripts, and investigate transformation failures.
• Work with Delta Lake, Spark DataFrames, and related components to test scalable data processing.

ETL/ELT and Pipeline Testing

• Validate end‑to‑end ETL/ELT workflows.
• Ensure correctness of data transformations and seamless movement between data layers.
• Conduct regression testing following schema evolution, code updates, or pipeline refactoring.

Collaboration & Delivery Practices

• Work closely with Data Engineers, Developers‑in‑Test, Business SMEs, and Product Owners to ensure high‑quality delivery.
• Provide clarity on data issues, identify root causes, and support resolution.
• Participate in refinement sessions to assess testability of new features and data logic.
• Contribute to automation frameworks, promoting continuous integration of data tests.

Automation & Scripting (Desirable)

• Develop automated test scripts using Python, PySpark, or Pandas.
• Contribute to automated test frameworks that validate transformations and data quality at scale.

Skills & Experience

Mandatory

• Proven experience testing data and analytics platforms.
• Advanced SQL and PL/SQL skills.
• Hands‑on experience with Databricks (notebooks, Delta Lake, Spark).
• Strong understanding of ETL concepts and data transformation methodologies.
• Experience validating large datasets, data pipelines, and data models.

Desirable

• Python for test automation and data manipulation.
• PySpark for distributed data testing.
• Pandas for lightweight automation and exploratory validation.
• Exposure to CI/CD, data observability tools, or version control (Git).

Who we are

Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.

Who you are

We are looking for a highly motivated and analytical Data Scientist to join our growing data team. You will play a key role in extracting insights from large datasets, building predictive models, and supporting data-driven decision-making across departments.

What you'll do

• Collect, process, and analyze large datasets from multiple sources
• Build and deploy machine learning models to solve business problems
• Design and implement A/B tests and statistical analyses
• Collaborate with cross-functional teams (product, engineering, marketing) to define analytics requirements
• Communicate complex data insights in a clear and actionable manner to stakeholders
• Develop dashboards and visualizations to monitor key metrics
• Stay current with the latest trends and technologies in data science and AI

What we're looking for

• Bachelor’s and or Master’s degree in Computer Science, Mathematics, Statistics, or related field
• 4+ years of proven experience as a Data Scientist or Data Analyst
• Strong knowledge of Python/R and SQL
• Hands-on experience with machine learning frameworks (e.g., scikit learn, tensroflow, pytorch)
• Experience with big data tools (e.g., Spark, Hadoop)
• Familiarity with data visualization tools
• Strong analytical, problem-solving, and communication skills

While not required, these are a plus:

• Experience with cloud platforms preferably AWS (S3, Sagemaker, Airflow etc)
• Strong SQL skills, with experience in Snowflake, MySQL, and PostgreSQL
• Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker)

3 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. #LI-SR1 #LI-Onsite

Who we are

Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.

Who you are

As a Senior Data Engineer at Metropolis, you will play a key role in shaping both customer-facing and business-facing data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.

What you'll do

• Collaborate with engineers, product managers, and data scientists to understand data needs, and develop end-to-end data pipelines, solutions, and foundational data sets
• Design and own the data architecture for large-scale projects, making informed decisions about design and operational trade-offs
• Build, launch, and optimize sophisticated data pipelines, data models, and visualizations that support diverse use cases across multiple products or domains
• Define and manage Service Level Agreements (SLAs) for all data sets within areas of ownership
• Implement data security models based on privacy requirements, ensure compliance with safeguards, address data quality issues, and evolve data governance processes
• Solve complex data integration challenges using optimal ETL/ELT patterns, frameworks, and query techniques for both structured and unstructured data sources
• Maintain and enhance existing production processes by optimizing complex code using advanced algorithmic concepts 
• Optimize pipelines, dashboards, frameworks, and systems to streamline data artifact development
• Mentor team members, providing and receiving actionable feedback to foster skill growth and collaboration
• Ensure flexibility with availability during evening hours

What we're looking for

• Bachelor's degree in computer science, Computer Engineering, or a relevant technical field; a master's degree is preferred
• 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
• Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt 
• 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
• Hands-on experience with RDBMS such as MySQL, MS SQL Server, and Postgres
• Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
• Ability to deliver high standards of code quality, system reliability, and performance
• Experience with Spark and PySpark to handle large-scale data processing and enhance data pipeline efficiency
• Strong proficiency in Terraform is a must-have.

Our Stack

• Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)
• Datastores: MySQL, PostgreSQL, Snowflake
• Cloud: AWS
• Version control: Git & GitHub
• AI Tooling: Copilot on GitHub
• Observability: Datadog

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. #LI-SR1 #LI-Onsite