About the team

The Roku APPS team is a group of highly skilled technologists that builds innovative platform products and services that enable over 100M+ users and streaming devices. We connect users to the streaming content they love and enable content publishers to build and monetise large audiences. We work on a range of critical services that power the Roku eco-system, including device and account setup, identity, authentication, channel distribution to devices, and channel publishing.

About the role

We're now looking for a talented and experienced Backend Engineer to join Roku APPS team. The ideal candidate will have a strong background in microservices. If you have a consistent track record improving large scale systems and enjoy building consumer-facing platform, and If you are innovative at heart and have a great balance on learning, organising, building, and enjoy making an impact, this role might be a great fit for you! 

What you will be doing

• Build extremely large-scale platform products and services, used both by Roku engineers from across the company, and directly by consumers across millions of devices
• Work with Product/Design teams to iterate and build software, taking a concept from ideation to its production deployment and support
• Lead efforts to evaluate new technologies and continue to push for best practices across the entire development life cycle, including code and design reviews
• Managing project priorities, deadlines, and deliverables
• Participate in Agile development process, including scoping, technical design, coding, testing, deployment, and maintenance

We're excited if you have

• 8+ years of experience building large-scale distributed systems
• 5+ years working with cloud-based platforms and infrastructure
• An understanding of system concepts and approaches such as eventual consistency and CAP theorem
• Ability and desire to lead the design and implementation of backend services coupled with a deep understanding of different data platforms
• Deep experience in building microservices using Java for container platforms such as Docker or Kubernetes
• Solid understanding of databases such as Aurora MySQL and DynamoDB
• Hands-on Experience working with AWS ALB, ECS, RDS, or similar cloud services
• Experience with a breadth of protocols and data formats such as REST, WebSockets, HTTPS, JSON, and Protobuf
• Demonstrated ability to drive timely consensus in design with other senior team members
• Bachelors or Master’s degree in Computer Science, Engineering, or equivalent

#LI-SJ1 

About the team

Roku pioneered streaming to the TV and continues to innovate and lead the industry. As we strive to influence the future of television globally, including TV advertising, the ongoing success depends heavily on our investment in the Content Management System. With Roku providing millions of movies, episodes, news, and channels, the Content Management System plays a vital role in managing content ingestion, selection, enrichment, and curation. We are seeking engineers capable of developing, designing, and deploying highly scalable, dependable applications, tools, and automation frameworks essential for efficiently handling the vast volume of content in our pipeline.

About the role

Roku pioneered TV streaming and continues to innovate and lead the industry. The Roku Channel has us well-positioned to help shape the future of streaming. Continued success relies on investing in the Roku Cloud TV Platform, so we deliver high quality streaming TV experience at a global scale.

You will be part of the Roku Content Management System and Tools Engineering team, playing a key role in developing the next generation content management systems that drive content ingestion, selection, management, and curation workflows. These systems are vital for empowering critical functions like Search and Recommendation on the Roku Platform. Your projects will have a direct impact on millions of Roku users globally. Throughout, you'll collaborate with key stakeholders across various Roku engineering teams and take the lead in designing our content management system.

The ideal candidate will demonstrate strong technical leadership, bring 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

• Lead and grow a high-performing engineering team responsible for content ingestion, enrichment, QC automation, and partner portal systems.
• Architect and scale distributed systems that handle millions of assets and metadata records, ensuring reliability and low-latency processing.
• Collaborate with product and operational partners to deliver a world-class Partner Portal that empowers studios, networks, and content providers to onboard and manage their catalogs seamlessly.
• Drive automation across video, audio, artwork, and metadata QC, integrating AI/ML-based services to improve accuracy and efficiency.
• Partner cross-functionally to streamline content delivery and operational workflows.
• Provide technical direction, conduct code and design reviews, and ensure best practices in performance, observability, and security.
• Manage individual project priorities, deadlines and deliverables  
• Recruit and mentor engineers, fostering a culture of technical excellence, innovation, and accountability.

We’re excited if you have

• 5+ years proven track record in hiring, building and leading high-caliber product engineering teams.
• 8+ years of software development experience with deep technical knowledge and expertise in building high availability, large-scale distributed systems and services.
• Proven experience in building scalable, distributed backend systems in cloud environments such as AWS, GCP or Azure.
• Strong understanding of microservice and event-driven architectures, including experience with messaging and streaming frameworks like Kafka, SQS, or similar technologies.
• Strong leadership, collaboration and communication skills in working with cross-functional teams across the organization and delivering on big and ambitious goals.
• Deep understanding of content management, metadata processing, and media workflow automation.
• Experience in designing or integrating partner-facing platforms or portals for content or data management.
• Ability to handle periodic on-call duty as well as out-of-band requests; strong written and verbal communication skills.
• Bachelor’s degree in computer science plus 8 years of experience or equivalent; Master's degree preferred.

#LI-SJ1

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).

About the Team & Role 

The Roku Pay, Core Payments team has played a pivotal role in driving Roku’s rapid growth in online subscriptions, powered by a seamless in-streaming, on-TV purchase experience. Supporting a wide range of Roku teams, Core Payments enables transactions across multiple consumer touchpoints — including TV, web, mobile, and advertising. These teams employ diverse strategies to sell digital content, from Subscription Video on Demand (SVOD) and Transactional Video on Demand (TVOD) to Roku-branded devices and shoppable ads directly on the device.

Core Payments is now seeking a Senior Product Manager to lead the creation of our Payment Machine Learning Platform — a high-impact initiative designed to optimize payment retries, routing, and authorization success rates for our subscription business.
This platform will harness AI/ML to make real-time, data-driven payment decisions at scale, directly influencing revenue growth, reducing churn, and enhancing customer satisfaction. In this role, you will operate at the intersection of machine learning, payments infrastructure, and subscription growth, collaborating with engineering, data science, finance, and payment operations to deliver a platform that is both technically sophisticated and mission-critical.
The ideal candidate thrives in a fast-paced, highly technical environment, possesses deep knowledge of payments and subscription economics, and can balance strategic vision with hands-on execution. You will own the roadmap, drive flawless delivery, and continuously improve the platform through experimentation and data-driven insights. 

What You’ll Be Doing 

• Define and Drive the Roadmap: Partner with engineering, ML, and business stakeholders to define a high-impact roadmap for the Payment ML Platform, aligned to Roku’s subscription growth goals.
• Translate Business Goals into Product Requirements/Feature Guides, Convert business KPIs (e.g., authorization rate uplift, churn reduction) into clear product requirements, success metrics, and technical specifications. 
• Lead AI/ML Product Development: Collaborate with ML engineers and data scientists to design, train, and deploy models for retry prediction, payment routing, and fraud prevention.
• Champion Experimentation:  Design and oversee A/B and multivariate tests to validate hypotheses, measure incremental lift, and drive continuous improvement.
• Hands-On Execution: Roll up your sleeves to write PRDs, define acceptance criteria, review model performance dashboards, and troubleshoot issues with engineering.
• Stakeholder Management: Communicate roadmap progress, risks, and learnings to executives and cross-functional partners.
• Post-Launch Optimization: Monitor KPIs, identify opportunities for improvement, and prioritize enhancements to maximize impact.
• Ensure Compliance & Security: Work with legal and compliance teams to meet PCI-DSS, GDPR, and other regulatory requirements for payment data. 

We’re Excited If You Have 

• 8+ years in product management, ideally with experience in payments, fintech, subscription businesses, or ML-driven platforms. 
• Proven track record of shipping complex products in partnership with engineering, data science, and operations teams. 
• Strong understanding of payment processing flows, gateways, acquirer optimization, and retry logic. 
• Experience defining and measuring KPIs, running large-scale A/B tests, and making data-driven decisions. 
• Ability to articulate complex ML concepts to both technical and non-technical stakeholders. 
• Comfort working in fast-paced, highly iterative environments. 
• Bachelor’s degree in Computer Science, Statistics, or related field; MBA a plus. 

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 Advertising Performance group focuses on performance for all participants in the Advertising ecosystem - Advertisers, Publishers and Roku. The systems and solutions span across different disciplines and technologies to perform realtime multi-objective optimization with distributed systems at large scale and low latencies. We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems and Auction Dynamics to solve a large set of complex problems. At the core of this is our Machine Learning, Experimentation and Inference Platform that powers the entire landscape which we continuously evolve over time.

About the role 

In this role you will work on building out a SOTA machine learning platform and apply various methodologies to solve a large variety of challenging problems in Advertising related to conversion modeling aligned with attribution methodologies/models, calibration, dynamic creative generation and optimization, forecasting and timeseries modeling, yield and margin optimization and Experimentation for A/B and multivariate testing. 

We’re looking for strong engineers well versed with modern large scale machine learning platforms with a solid grasp of core statistical techniques and deep experience in SOTA Deep Learning discriminative and generative models.  

What you’ll be doing  

• Building and evolving a SOTA Machine Learning Platform from feature generation to realtime inferencing that can optimize and deploy complex models at large scale and low latencies. 

• Building SOTA Deep learning discriminative models and build generative models to generate image and video ads geared towards optimizing performance. 

• Stay at the forefront of advancements in related areas. 

We’re excited if you have 
 

• BS or higher in CS, ECE or a related field. 

• 5+ years of experience in building out Machine Learning platforms or applying Deep Learning  methodologies. 

• Excellent communication and collaboration skills. 

Preferred Qualifications: 

• MS or higher CS, ECE or a related field. 

• Experience in the Advertising domain. 

• Contributions to open-source ML projects. 

About the team

About the Role:

We are seeking a talented and experienced SRE (Site Reliability Engineering) Senior Software Engineer to join our dynamic team. The ideal candidate will have a strong background in SRE practices, cloud infrastructure management, and automation. If you have a consistent track record of architecting and building large-scale systems, enjoy solving intriguing system challenges at internet-scale, and if you are innovative at heart, and have a great balance of skills in learning, organizing, building, and enjoy making an impact, this role might be a great fit for you!

What you’ll be doing:

• Design & Infrastructure

  • Contribute to postmortem culture by facilitating comprehensive, blameless post-incident reviews that identify root causes, contributing factors, and actionable remediation items. Track incident trends to identify systemic issues and prioritize reliability improvements.

  • Implement chaos engineering practices to proactively identify failure modes, validate system resilience, and build confidence in recovery procedures. Conduct game days and disaster recovery exercises.

• SRE Process & Principles Implementation

  • Deploy and evolve SRE practices across the organization by establishing core SRE principles, frameworks, and methodologies. Define and implement service reliability practices, including Service Level Objectives (SLOs), Service Level Indicators (SLIs), and Error Budgets, to balance innovation velocity with system reliability.

  • Manage Error Budgets as a mechanism for making data-driven decisions about feature velocity vs. reliability. Track, report, and enforce error budget policies, facilitating conversations between engineering and product teams about risk tolerance and release decisions.

• Reliability Engineering & Infrastructure

  • Reduce toil through automation by identifying repetitive operational work and systematically eliminating it through infrastructure-as-code, automation frameworks, and intelligent tooling. Measure and track toil reduction efforts, aiming to keep toil below 50% of team time.

  • Implement capacity planning processes that ensure systems have adequate headroom to meet SLOs during peak traffic, unexpected load spikes, and degraded states. Develop predictive models and automated scaling mechanisms.

• Observability, Monitoring & Reporting

  • Build comprehensive observability systems that provide deep visibility into service health, performance, and user experience. Implement monitoring strategies based on the Four Golden Signals (latency, traffic, errors, saturation) and USE/RED methodologies.

  • Create SRE dashboards and reporting mechanisms that provide real-time visibility into SLO compliance, error budget consumption, and system reliability metrics. Develop executive-level reporting on reliability trends, incident impact, and improvement initiatives.

  • Establish alerting strategies that are actionable, symptom-based, and aligned with SLOs. Reduce alert fatigue by tuning thresholds and eliminating noise while ensuring critical issues trigger appropriate responses.

• Collaboration and Leadership

  • Partner with development teams to implement reliability from the design phase using SRE principles. Conduct design reviews focused on failure modes, scalability, observability, and operational concerns. Guide teams in building services that meet SLO requirements.

  • Collaborate through code reviews and design reviews, ensuring infrastructure-as-code, automation scripts, and reliability improvements follow best practices, are well-documented, and maintain high-quality standards.

  • Manage project priorities using error budgets as a decision-making framework. Leverage agile methodologies while ensuring reliability work gets appropriate prioritization alongside feature development.

• Operational Excellence & Continuous Improvement

  • Identify and eliminate performance bottlenecks through detailed analysis of metrics, traces, and profiles. Optimize system resources, tune configurations, and implement auto-scaling to ensure SLO compliance during varying load conditions.

  • Drive continuous improvement through SRE feedback loops by analyzing SLO violations, incident trends, and toil metrics to identify systemic improvements. Champion the reliability roadmap and advocate for technical debt reduction.

  • Maintain a culture of documentation and knowledge sharing by creating comprehensive runbooks, operational guides, system architecture documentation, and disaster recovery procedures. Ensure operational knowledge is distributed across the team.

  • Track and report on SRE metrics, including SLO compliance rates, error budget consumption, mean time to detection (MTTD), mean time to resolution (MTTR), toil percentage, and reliability improvement velocity.

• On-call & reliability

  • Participate in a 12x7 on-call rotation and be available to work with global teams in the event of critical outages

We’re excited if you have:

• Preferably 8+ years of experience in DevOps/SRE roles, with demonstrated expertise in implementing SRE principles, SLO/SLI frameworks, and error budget policies in production environments.

• Deep experience with observability and monitoring platforms such as Prometheus, Grafana, Datadog, New Relic, or equivalent, including experience building custom dashboards, alerts, and SLO-based monitoring.

• Strong background in incident management, including experience as an Incident Commander, conducting blameless postmortems, and implementing systematic reliability improvements based on incident learnings.

• Strong understanding of distributed systems and reliability engineering, including failure modes, fault tolerance patterns, circuit breakers, bulkheads, rate limiting, and graceful degradation strategies.

• Experience with a number of the following: Kubernetes, Docker, Service Mesh such as Istio, Envoy, Linkerd, Solo & ECS

• Experience in cloud-focused software development, preferably in Go, Python, or other object-oriented programming languages

• Experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, or CloudFormation

• Experience with CI/CD automation, including GitLab pipelines and other related tools.

• Strong hands-on experience with cloud platforms such as AWS, GCP or Azure

• Proven track record of implementing scalable, high-performance infrastructure solutions in fast-paced, dynamic environments

• Demonstrated ability to communicate clearly with both technical and non-technical project stakeholders, with the ability to work effectively in a cross-functional team environment

• Self-driven and detail-oriented with the ability to understand complex distributed systems and identify reliability risks proactively.

• Certifications in relevant technologies, such as Certified Kubernetes Administrator (CKA), AWS Certified DevOps Engineer, or Certified Information Systems Security Professional (CISSP), are preferred

• BS Degree in Computer Science or Equivalent.

#LI-SK8

About the team

A highly scalable, highly available, real-time advertising platform is critical to support and grow Roku's rapidly expanding ad business. It is the mission of the Ad Engineering Team to build this platform. We are hiring a Senior Machine Learning Engineer, Advertising Platform, to be a vital part of this mission. If you bring extensive experience building complex systems using Machine Learning and Data Science, love great technology at scale, enjoy mentoring, jumping in, and figuring things out in any system, this role is for you!

The Ad Serving team, based in Bangalore, is responsible for ensuring that ads on the Roku platform are relevant and of good quality, leading to better outcomes for advertisers and providing a great experience for our viewers. Dealing with millions of ad requests in a day, we need to have best in class ML driven systems to improve the way we serve ads in multiple countries and languages.  

About the role

In this role, you will build and develop ML models to solve for content understanding aspects of Ads. These models rely on the visual, audio and textual content of ads, across multiple languages. This includes developing computer vision and machine learning models/methods such as deep learning models, generative AI solutions, large language models (LLMs) and vision language models (VLMs). You will work with software engineers and other ML engineers to identify, build, train and productionize these models to improve brand safety, increase revenue opportunities and help with moderation and generation of ad creatives in general.

What you will be doing

• Develop scalable and effective machine-learning models and optimization strategies to solve business problems related to Ads
• Run regular A/B experiments, gather data, and perform statistical analysis
• Work closely with software engineers and other ML engineers to deliver end-to-end solutions into production
• Improve the scalability, efficiency and automation of ML driven ad serving systems, model training, deployment and serving
• Partner with senior stakeholders to plan and drive the ML strategy for Ad Serving

We're excited if you have

• 6+ years of building models for business application experience
• Master's degree ( or higher) and 4+ years of CS, CE, ML or related field experience
• Strong CS fundamentals. Should be able to write an algorithm with ease.
• Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms
• Good understanding of data science and machine learning fundamentals like regression, classification, tree-based approach, neural networks, sequence-based, and NLP approaches like W2V or Bert
• Can brainstorm and identify the right KPIs and objective functions. 
• Knowledge of programming languages such as C/C++, Python, Java or Perl (preferred)
•  Have publications at top-tier peer-reviewed conferences or journals (preferred)
• AI growth mindset / AI Literacy

About the Role 

Join us in building Roku’s next-generation cloud-agnostic platform that powers Kubernetes and service mesh at scale. If you’re passionate about designing resilient infrastructure, automating deployments, and enabling hundreds of workloads across multiple regions, this role is for you. You’ll work with cutting-edge technologies like Kubernetes, Istio, Envoy, Terraform, modern observability stacks and collaborate with teams worldwide to deliver a unified hosting experience. 

If you’re passionate about deep platform and infrastructure engineering, solving complex scaling challenges, and enabling teams through elegant, automated solutions—this role is for you. 

About the Team 

Our Cloud Compute Platform Engineering team is at the heart of Roku’s transformation toward a single, unified platform. We design and scale Kubernetes clusters, service mesh architecture, and supporting systems to ensure all engineering teams speak the same infrastructure language. We partner with internal teams to migrate workloads, enhance CI/CD pipelines, and integrate observability and security into every layer of the stack. Collaboration and impact are core to what we do. 

What You’ll Be Doing 

• Architect, design, and deploy Roku’s next-generation cloud platform and service mesh. 
• Build and own solutions to Roku's compute problems using Docker, Kubernetes, Istio/Envoy, Terraform and scripting to evolve our tech stack and deployments. 
• Proactively drive the research and implementation of new technologies to enhance scalability, reliability, and developer experience. 
• Integrate security best practices into infrastructure design and automation. 
• Build tooling to visualize inefficiencies and optimize costs across shared-tenancy clusters, including network traffic insights, cross-cluster communication efficiency, and cost attribution. 
• Collaborate with internal teams to migrate workloads to Kubernetes + Istio, leveraging open-source observability tools. 
• Work closely with the Observability team to scale monitoring and logging solutions for a holistic view of the platform. 
• Leverage SRE principles to maintain high availability and streamline onboarding workflows. 
• Mentor team members and help define best practices for infrastructure and automation. 

We’re Excited If You Have 

• Strong hands-on experience with cloud technologies (AWS preferred; GCP or Azure is a plus), specifically in architecting and managing performant, large-scale systems handling significant traffic/data. 
• Deep knowledge of Kubernetes (EKS, GKE, AKS, or similar) and service mesh technologies. 
• Proficiency in Go or another programming language, Python or another scripting language. 
• Experience designing infrastructure and building automation tools, while collaborating with internal team members and external stakeholders. 
• Experience building CI/CD pipelines and following modern deployment practices. 
• Familiarity with observability tools (Prometheus, Thanos, Loki, Grafana, etc.). 
• Ability to work independently and communicate effectively with technical and non-technical stakeholders. 
• Passion for learning and solving complex infrastructure challenges. 
• Experience integrating AI tools to improve processes and reduce operational toil (a plus). 
• Master’s degree or equivalent experience (8+ years preferred). 

Role: Sr, Software Engineer
Location: Hyderabad, India (Hybrid)
Department: Product Engineering
Reports to: Manager, Software Engineering

About GHX:
GHX (Global Healthcare Exchange) is a leading healthcare technology company on a mission to simplify the business of healthcare and improve patient outcomes. Founded in 2000, GHX has built the GHX Global Network — the world’s largest cloud-based supply chain community connecting healthcare providers, suppliers, distributors, and partners to automate key processes, reduce costs, and increase operational efficiency. Its solutions span electronic trading, procurement automation, inventory and contract management, business intelligence, and data synchronization, helping healthcare organizations improve productivity and focus more on patient care. Over the years, GHX has enabled significant cost savings for the industry and continues to innovate with intelligent automation and AI-driven capabilities.

Website: https://www.ghx.com/
LinkedIn: https://www.linkedin.com/company/ghx/

About the Role

GHX is seeking a Sr Software Engineer with deep technical expertise and a proven track record in designing, developing, and delivering high-quality, scalable software solutions. The Senior Software Engineer will play a pivotal role in the development of technological solutions, contributing to both existing and next-generation applications. The ideal candidate will be proficient in Java and Spring framework, skilled in software design patterns, experienced with AWS cloud services, and adept in CI/CD pipelines, with a passion for leading innovative projects in a collaborative environment.

Duties and Responsibilities

• Develop scalable, secure, and maintainable software systems that align with business needs, creating flexible, reusable, and efficient solutions.
• Maintain a deep understanding of software subsystems, their components, interfaces, and data integrations to ensure seamless functionality and scalability.
• Perform branching updates on the Git repository along with CI/CD responsibilities.
• Collaborate proactively with cross-functional teams to address technical dependencies, review ideas and concerns, and deliver high-quality products.
• Identify root causes of challenges, analyze upstream and downstream impacts, and recommend impactful, broad-reaching solutions while considering corporate strategy and trade-offs.
• Establish and guide best practices for design, development, testing, and Agile workflows, mentoring team members and fostering a collaborative environment.
• Build and maintain strong business relationships to influence decision-making and drive innovative solutions across teams.

Qualifications

• 5+ years of experience in software development.
• BS degree in Computer Science.
• Experience designing and implementing technological solutions using Java and its frameworks (e.g., Spring, Hibernate).
• Proficiency in AWS technologies including EC2, SNS, SQS, S3, SES, Elasticsearch Service, Lambda, etc.
• Expertise in databases such as MongoDB, Elasticsearch, and MySQL.
• Familiarity with front-end technologies such as HTML, CSS, JavaScript, Angular, and TypeScript.
• In-depth knowledge and experience implementing RESTful APIs and web services.
• Experience with Rules Engine and/or event-driven architecture.
• Exposure to design best practices including performance, scalability, robustness, and resiliency.
• Prior experience working in Agile/Scrum environments.
• Ability to work independently and as part of a team on multiple overlapping projects.
• Proven track record of successfully delivering large, complex, cross-functional projects.
• Strong problem-solving, analytical, and communication skills.

Knowledge, Skills, and Abilities

• Develops and implements innovative solutions that challenge the status quo and drive process improvement.
• Communicates complex technical concepts effectively to diverse audiences, including technical and non-technical teams.
• Demonstrates a strong understanding of system-wide impacts and interdependencies across products, teams, and the organization.
• Addresses internal and external customer needs effectively, with the ability to interact directly with customers.
• Ability to work collaboratively in a global team environment.
• Adapts to changing conditions with flexibility and leads others through transitions with clarity and confidence.
• Leads by example, fostering teamwork, trust, and a shared purpose while promoting success and strategic thinking.
• Experience in healthcare or invoicing domains is an added advantage.
• Experience using AI coding tools and AI agents is an advantage, including Python and machine learning experience.

Are you a passionate technologist eager to empower developers and shape the future of software innovation? MongoDB is looking for a Senior Developer Advocate to join our Developer Relations team in India. You'll be at the forefront of driving engagement, learning, and excitement within our developer community across India and APAC.  

As developers increasingly rely on MongoDB for their data needs, you'll play an essential role in building meaningful relationships, delivering impactful technical resources, and hosting hands-on workshops that unlock new possibilities for developers at startups, enterprises, and everything in between. If you're passionate about data, inspiring developer communities, and fueling innovation, this could be the ideal opportunity for you!  

Joining our Developer Relations team will have you collaborating and learning with world-class peers and engaging with some of the world’s largest companies.  

This role can be remotely in the India region.

About You

We're seeking someone who thrives on building vibrant developer ecosystems. As a Senior Developer Advocate, you'll use your experience in technical enablement, community-building, and instructional content to engage developers and help them confidently adopt MongoDB technologies.  

You’re seasoned at connecting with developers through events, workshops, virtual training, or meetups, and take pride in fostering discovery and delivering value. With a genuine collaborative spirit, you work closely with colleagues across teams, always striving to elevate every member’s success in alignment with MongoDB’s value of Building Together.  

A strong communicator and problem-solver, you have 5+ years of experience in roles such as Developer Advocate, Solutions Architect, Software Engineer, Developer Relations, or similar. You’re skilled at simplifying complex technical concepts and can adapt your messaging to developers at all skill levels.  

Key Responsibilities

Empower developers: Leverage your deep understanding of database technologies, programming languages, and MongoDB’s core functionality—including Atlas —to guide developers in building impactful solutions through code and content.  

Engage through live workshops:  Deliver interactive sessions for audiences ranging from 40 to 400 developers, showcasing best practices and hands-on experience with MongoDB.  

Community growth:  Build relationships with developers, community leaders, industry influencers, and partners to scale our Developer Relations programs and foster new engagement opportunities across India and APAC.  

Support user groups and champions:  Collaborate with other DevRel teams to grow MongoDB user groups, champion programs, and influencer networks in the region.  

Partner with marketing:  Work closely with various marketing teams to inform strategies, refine messaging, and create resources that resonate with our developer community.  

What You'll Bring:

Technical expertise: A minimum of 5+ years of experience consulting with development teams, complemented by proficiency in database technologies and programming languages.  

Hands-on enablement: A proven track record of sharing code and content, creating and leading developer-focused labs, workshops, hackathons, and other hands-on activities.  

Presentation excellence: Strong public speaking skills with experience delivering live workshops, webinars, or events (bonus points for live-streaming abilities!).  

Engagement strategies: Demonstrated ability to support long-term developer engagement and report on the business impact of initiatives.  

Collaborative mindset: You thrive in team environments, building connections across teams and stakeholders to drive impactful results both locally and globally.  

Travel-ready: The willingness to travel up to 40% of the time to deliver sessions and support the broader team at in-person events.  

Why Join MongoDB

MongoDB is the leading modern general-purpose database platform, designed to help developers tackle their most complex challenges. By joining us, you'll be part of a company that values curiosity, collaboration, and creativity—and empowers individuals at every level to make an impact.  

In this role, you'll help foster innovation in developer communities, champion cutting-edge technologies, and be a critical contributor to MongoDB's growth across APAC.  

Does this sound like your dream job? Join us, and together, we’ll build what's next!  

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Introduction:

Are you searching for an opportunity to play a key role in driving the dramatic growth of a highly successful software company? 

At Poppulo, we’re working on what’s next in communications and workplace technology. As a pioneer in this industry, we understand that meaningfully reaching every employee is hard. And so is managing office space in a hybrid world. And so is improving the customer and guest experience. We exist to make each of these things easier. We exist to bring harmony to our customers. 

And we do that at enterprise scale. Our omnichannel employee communications, customer communications, and workplace experience platform is trusted by over 6,000 organizations today, reaching more than 35M employees and delivering content to 500,000+ digital signs.

We know there’s no such thing as a “perfect" candidate - we’re all a work in progress and are growing new skills and capabilities all the time. We encourage you to apply for a position with Poppulo even if you don’t meet 100% of the requirements. We believe in fostering an environment where there is a diversity of perspectives, in hopes that we can all thrive. 

Job Summary 

We are looking for a Principal Software Engineer to drive technical excellence and scalability across our SaaS Employee Communications platform.

In this role, you will act as a hands-on technical leader, designing and delivering complex features, improving system performance and reliability, and mentoring engineers across the team. This position bridges Senior Engineers and Software Architects, translating architectural vision into robust, maintainable implementations while influencing architectural evolution through strong technical judgment and execution.

The ideal candidate brings deep SaaS expertise, hands-on experience with AWS managed & serverless technologies and a solid understanding of distributed system design.

Key Responsibilities 

• Lead the design and development of complex, high-impact systems and services.
• Translate architectural blueprints into scalable, production-grade solutions.
• Design and implement microservices and APIs with a strong focus on scalability, observability, and reliability.
• Own major features or components end-to-end, including performance optimization, resilience, and cost efficiency.
• Mentor senior and mid-level engineers, conduct code reviews, and uphold best practices in coding, design, testing, and CI/CD.
• Collaborate closely with Architects, Product Managers, and DevOps to ensure architectural alignment and high-quality delivery.
• Build and optimize services using AWS serverless, event-driven, and container-based technologies (Lambda, ECS, SNS, SQS, DynamoDB, EventBridge, RDS).
• Ensure systems adhere to authentication, authorization, and compliance standards (OAuth2, OIDC, RBAC).
• Identify opportunities to improve system performance, scalability, and developer productivity.
• Advocate for continuous learning, experimentation, and innovation within the engineering organization.
• Maintain accountability for coding standards, engineering processes, and technical excellence.
• Use metrics and analytics to anticipate future engineering and scalability needs.
• Ensure compliance with data protection and privacy requirements, including GDPR, HIPAA, and PII best practices.
• Proactively identify and address technical debt and long-term improvement opportunities.

 Education & Experience 

• 8+ years of software development experience with demonstrated technical leadership in complex, distributed systems.
• Demonstrated strong hands-on experience in Java, with expertise in Spring Boot, concurrency, multi-threading, and RESTful service development.
• Proven experience with modern front-end frameworks such as React or Angular is mandatory for this full-stack role.
  
• Exposure to Node.js and TypeScript, including asynchronous programming and modular architecture is nice to have.
• Proven understanding of distributed systems, multi-tenancy, RBAC, and SaaS security principles.
• Hands-on experience with microservices architecture, Docker, Kubernetes, and AWS.
• Experience with observability best practices, including metrics, logging, tracing, and alerting.
• Strong knowledge of event-driven systems (Kafka, SNS/SQS, EventBridge, Kinesis).
• Experience with GraphQL federation and implementation.
• Experience with CI/CD pipelines, Git-based workflows, and automated testing (JUnit, Jest, Playwright, etc.).
• Proven ability to design scalable, high-performance, fault-tolerant systems in multi-tenant SaaS environments.
• Familiarity with GDPR and data privacy standards is a plus.
• Experience with infrastructure-as-code tools (Terraform, CDK) and modern observability stacks.
• Excellent communication skills and the ability to collaborate effectively with both technical and non-technical stakeholders.
• Passion for continuous learning and a strong commitment to engineering excellence.
• Comfortable leading by example and driving best practices across teams.

Who We Are

• We are a values-driven organization that encourages our employees to bring their authentic selves to work every day and empowers everyone to make a tangible impact on our products, clients, and culture. We offer a dynamic environment with driven, fun, and flexible individuals who thrive on challenge and responsibility. This is an opportunity to contribute to our culture and join a company that’s on the move.
• We live the Poppulo values each day, as they are key to everything we do.

Bring Your Best Self
We show up authentically, are self-aware and always strive to be better.

• See it. Own it. Solve it.
  We proactively innovate and solve for our customers and each other. We set an example with high standards for our work. We foster a culture of learning, acknowledging our successes and our failures.
• Together We’re Better
  We value and celebrate our diversity. We learn from others, respecting their expertise, and focus on building trust. That's what makes us a team.
• Named a Great Place to Work in 2015, 2016, 2017, 2018, 2019, 2020, and 2021, we are a fast-growing global technology company, with offices in Ireland, the US, and the UK.
• Poppulo is an equal opportunity employer.
• Named a Great Place to Work in 2015, 2016, 2017, 2018, 2019, 2020, and 2021, we are a fast-growing global technology company, with offices in Ireland, the US, and the UK.
  Poppulo is an equal opportunity employer.

We are committed to protecting your privacy. For details on how we collect, use, and protect your personal information, please refer to our Job Applicant Privacy Policy. 

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 

Our  Reporting, Accounting, and Data Services org gives businesses power over the entire life cycle of their cash flow. By coordinating billing, tax, reporting, and data services in one modern stack, Stripe’s revenue and finance automation suite eliminates the inefficiencies of legacy finance tools and supports revenue growth.

While the internet has been a boon to productivity, the gains have been uneven. Common financial processes like billing, tax, and quarterly reporting are still painfully inefficient and manual. They’re also typically spread across a dozen or more software tools. The result: one-third of finance leaders reopen their books at least once a quarter because of accounting errors, and half spend 10 hours a month manually correcting discrepancies.

Stripe’s RADS suite relieves those burdens by equipping finance leaders with revenue management tools that are as sophisticated as the businesses they run. The suite automates manual work and improves accuracy across the cash flow life cycle, from payments and billing to tax, reporting, and reconciliation.

Our portfolio is growing rapidly and we are expanding our RFA suite to serve the diverse spectrum of Stripe’s users, from brand new startups to public companies. Simultaneously we are investing in foundations for an extensible platform solution, including integrations with external systems that will let us scale our reach and capabilities by orders of magnitude over the next few years.

What you’ll do

We are seeking an experienced technical leader to join our team to shape and build a suite of products that will let our users model and operate their business more efficiently. In this role, you will work closely with engineering managers, senior engineers, and cross-functional partners to design the technical architecture of the product to enable scale, interoperability and an amazing user experience. You will help grow the team in India to become a strong leader in delivering the Revenue and Finance Automation vision. You will also have the opportunity to be hands-on in building key systems, while mentoring and leading other engineers. Join us in spearheading a transformational opportunity for Stripe.

Responsibilities

• Manage the technical leadership, execution, and roadmap for Revenue and Finance automation suite. 
• Lead by example by designing and implementing critical platforms that enable seamless interoperability across the RFA suite of products.
• Partner closely with engineering, product, and design leadership to define our product strategy and user experience.
• Establish best practices, frameworks, and repeatable processes that enable the team to execute effectively.
• Foster a culture of learning and data-driven decision making on the team and the broader organization.
• Mentor and support the growth of engineers at different levels in their careers.

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

• At least 15 years of engineering experience or equivalent combined work experience demonstrating relevant domain expertise.
• Proven experience leading company-wide initiatives or influencing tech roadmap planning and execution.
• You have great product taste and a track record of taking complex problems and solving them elegantly.
• You enjoy diving into and deeply understanding the businesses that use Stripe.
• You work very well cross-functionally, and are able to think rigorously and make hard decisions and tradeoffs.
• You are capable of working in ambiguous fast-moving environments and have a curiosity to learn the domain to a deep level.
• You thrive on a high level of autonomy and responsibility.
• Strong collaboration skills to work effectively across multiple teams and stakeholders.
• Past experience mentoring and investing in the development of engineers.
• Pride in successfully completing projects involving a diverse range of technologies and systems.

Preferred qualifications

• Familiarity with large scale distributed systems.
• Experience working in high-growth teams similar to Stripe.
• If you meet the minimum requirements, we encourage you to apply. Preferred qualifications are beneficial but not mandatory.

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 

Stripe Data Pipeline: The Stripe Data Pipeline (SDP) team owns a critical product that sends all of a merchant's Stripe data directly to their data warehouse. This role is essential for delivering petabytes of data daily with high reliability and low latency, marching towards a 99.99% availability and near real-time data freshness. SDP's unique selling proposition is making data seamlessly available, serving a customer base that includes major technology and Fortune 100 companies.

Revenue and Finance Automation- Revenue and Finance Automation (RFA) suite gives businesses power over the entire life cycle of their cash flow. By coordinating billing, tax, reporting, and data services in one modern stack, Stripe’s revenue and finance automation suite eliminates the inefficiencies of legacy finance tools and supports revenue growth.

Team Matching: exact team matching for one of the subteams within one of these orgs will begin during final stages. Please note we may also consider you for different orgs based on your experience, location, etc.

What you’ll do

We are seeking an experienced technical leader to join our team to shape and build a suite of products that will let our users model and operate their business more efficiently. In this role, you will work closely with engineering managers, senior engineers, and cross-functional partners to design the technical architecture of the product to enable scale, interoperability and an amazing user experience. You will help grow the team in India to become a strong leader in delivering the Revenue and Finance Automation vision. You will also have the opportunity to be hands-on in building key systems, while mentoring and leading other engineers. Join us in spearheading a transformational opportunity for Stripe.

Responsibilities

• Lead and Architect: Take ownership of end-to-end architecture and system design for large, complex projects. Drive technical decisions that ensure scalability, reliability, and high performance across distributed systems.
• Mentor and Influence: Provide technical leadership to other engineers on the team, setting best practices in system design, architecture, and operational excellence. Act as a mentor, guiding less experienced engineers to grow into senior roles.
• Drive Product Innovation: Innovate by leveraging the latest in ML, LLMs, and data technologies, driving new features that help businesses optimize their revenue with predictive insights and advanced analytics.
• Collaborate Cross-Functionally: Partner with product, design, and data teams to deeply understand business problems and craft solutions that balance user needs, system performance, and scalability.
• Tackle Complexity: Navigate ambiguous technical challenges, breaking down complex problems into actionable solutions, and driving them from inception to successful deployment.
• Champion System Scalability and Stability: Ensure Stripe’s reporting products continue to operate at scale while maintaining system stability and providing seamless user experiences, handling billions of data points efficiently.

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

• 10 + years of engineering experience or equivalent combined work experience demonstrating relevant domain expertise.
• Experience in architecting and designing full-stack systems that deliver critical impact to a business
• You have great product taste and a track record of taking complex problems and solving them elegantly.
• You enjoy diving into and deeply understanding the businesses that use Stripe.
• You work very well cross-functionally, and are able to think rigorously and make hard decisions and tradeoffs.
• You are capable of working in ambiguous fast-moving environments and have a curiosity to learn the domain to a deep level.
• You thrive on a high level of autonomy and responsibility.
• Strong collaboration skills to work effectively across multiple teams and stakeholders.
• Past experience mentoring and investing in the development of engineers.
• Pride in successfully completing projects involving a diverse range of technologies and systems.

Preferred Qualifications

• Familiarity with large scale distributed systems.
• Experience working in high-growth teams similar to Stripe.
• If you meet the minimum requirements, we encourage you to apply. Preferred qualifications are beneficial but not mandatory.

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. 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 build and operate Stripe’s Event Infrastructure — the reliable, low-latency backbone that captures, routes, and persists billions of events daily. We design resilient, scalable systems for real-time ingestion, filtering, transformation, and high-throughput delivery to downstream consumers. We prioritize observability, backpressure control, and graceful degradation to keep payments and platform features running under any load. By automating operations and iterating on capacity and cost optimizations, we enable product teams to build on a predictable event-streaming foundation.

The Impact You’ll Have

As an Engineering Manager in the infrastructure organization, you are expected to see problems others don't and rally people to independently create solutions. You will move beyond day-to-day management to act as an industry leader, effectively advocating for your organization's mission, values, and impact.

• Architect the Org & Culture: Design and scale a high-leverage org structure. You will define what "Elite Engineering" looks like, setting the bar for craftsmanship and operational rigor serving as a blueprint for Stripe infrastructure.
• Vision and Strategy: Define the scope, vision, and goals for your organization with little or no guidance from your manager. You will anticipate industry trends and use them to influence Stripe's long-range plans, setting direction on a multi-year timeframe for Stripe’s online storage layer.
• Drive Operational Excellence: You will instill a culture of rigorous thinking and meticulous craftsmanship, ensuring our infrastructure remains proactive and resilient as Stripe’s business demands evolve.
• Bridge Engineering & Business: You will collaborate with cross-functional leaders to align deep engineering needs with global business growth forecasts.
• Build the Future Team: Proactively invest in the development of the organization and its people at all levels. You will obsess over talent, hiring and coaching other managers to elevate the skills of the leadership team.

Who You Are

We are looking for a visionary leader who thrives on operating Tier0 infrastructure and building world-class teams. You should be equally comfortable in high-level strategic conversations and deep-diving into database internals.

Minimum Requirements:

• Proven Leadership: Minimum 5 years of experience in a technical engineering management role; overseeing strategic projects.
• Systems Expertise: A deep technical background in distributed systems and experience operating Tier0 infrastructure at massive scale.
• Product Mindset: Ability to bridge deep engineering needs with global business growth forecasts and product strategy, specifically building abstractions that empower thousands of other developers.
• Strategic Navigator: Experience managing through ambiguity and making critical trade-offs between reliability, efficiency, and long-term architectural health.
• Curiosity and Humility: A deep curiosity about the "nuts-and-bolts" of the business (e.g., global money movement) combined with the humility to continue learning and growing as a leader
• Communication: Exceptional written and verbal communication skills.

Preferred Qualifications:

• Scale and Infrastructure: Successfully shipped and operated critical infrastructure (database internals or related field) with significant responsibility over funds and/or critical data
• Strategic Ambiguity: Ability to navigate complex, high-impact work where you must define your own scope and vision

Cross-Functional Influence: A track record of getting other teams on board with your vision to support execution in a way that benefits the broader company

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

Role Overview

We are seeking an analytically-driven Data Analyst to join our Finance & Strategy team at Stripe. This role bridges the gap between data science and financial planning, requiring someone who can transform complex business data into actionable financial insights. You will build sophisticated dashboards, develop predictive models, and serve as the technical backbone for our FP&A and GTM analytics initiatives. This is a unique opportunity for a data professional with financial acumen to directly influence strategic business decisions in a high-growth fintech environment.

What You'll Do

Financial Data Analytics & Modeling

• Design, build, and maintain financial dashboards for FP&A, Revenue Operations, and GTM teams using Tableau, Power BI, or Looker
• Develop automated financial reporting solutions that reduce manual effort and improve data accuracy
• Create sophisticated data models to support budgeting, forecasting, variance analysis, and scenario planning
• Build predictive models for revenue forecasting, customer lifetime value, churn analysis, and unit economics

Business Intelligence & Reporting

• Partner with Finance Business Partners and FP&A teams to translate business requirements into technical solutions
• Design and implement data infrastructure for financial planning cycles (monthly/quarterly reviews, annual budgets, long-range planning)
• Develop self-service analytics capabilities enabling finance teams to access real-time business insights
• Create executive dashboards tracking key financial and operational metrics (ARR, bookings, retention, CAC, LTV)

Data Engineering & Analytics Infrastructure

• Write complex SQL queries to extract, transform, and analyze large datasets from multiple source systems
• Build ETL pipelines to integrate financial data from ERP, CRM, billing, and data warehouse systems
• Ensure data quality, consistency, and governance across financial reporting systems
• Optimize database performance and data architecture for scalability

Strategic Analysis & Insights

• Conduct deep-dive analyses on business performance, identifying trends, anomalies, and opportunities
• Support strategic initiatives through ad-hoc financial modeling and what-if scenario analysis
• Translate complex data findings into clear, actionable recommendations for leadership
• Collaborate with Data Science teams to develop advanced analytics and ML models for finance use cases

Required Qualifications

Technical Skills

• Must Have: Advanced SQL proficiency (complex joins, window functions, CTEs, query optimization)
• Must Have: Expert-level experience with at least one BI tool (Tableau, Power BI, Looker, or Qlik)
• Must Have: Advanced Excel/Google Sheets skills (pivot tables, complex formulas, data modeling)
• Preferred: Python or R for data analysis, automation, and statistical modeling
• Preferred: Experience with cloud data platforms (Snowflake, BigQuery, Redshift, Databricks)
• Preferred: Knowledge of ETL tools (dbt, Airflow, Fivetran) and version control (Git)

Financial & Business Acumen

• Experience in data analytics within finance, FP&A, or revenue operations functions
• Strong understanding of financial statements (P&L, balance sheet, cash flow)
• Knowledge of key financial metrics: ARR, MRR, bookings, revenue recognition, CAC, LTV, gross margin, EBITDA
• Experience with financial planning processes: budgeting, forecasting, variance analysis, scenario modeling
• Understanding of SaaS/subscription business models and revenue recognition principles (ASC 606 preferred)

Analytical & Problem-Solving

• Proven ability to work with large, complex datasets and derive meaningful insights
• Experience building financial models and dashboards that drive executive decision-making
• Strong statistical analysis skills and understanding of data visualization best practices
• Track record of translating ambiguous business problems into structured analytical frameworks

Preferred Experience

• Background in fintech, payments, B2B SaaS, or high-growth technology companies
• Experience supporting GTM analytics (sales forecasting, pipeline analysis, quota setting)
• Familiarity with finance systems: NetSuite, Anaplan, Adaptive Planning, Salesforce, Stripe Billing
• Exposure to data science methodologies and machine learning concepts
• Previous work in cross-functional environments collaborating with finance, data science, and business teams

Key Competencies

• Business Acumen: Ability to understand complex business models and translate them into data requirements
• Technical Excellence: Deep technical skills with commitment to code quality and best practices
• Communication: Exceptional ability to explain technical concepts to non-technical stakeholders
• Stakeholder Management: Experience partnering with senior leaders and influencing through data
• Ownership Mindset: Self-directed with ability to manage multiple priorities and drive projects to completion
• Continuous Learning: Curiosity to learn new tools, techniques, and business domains
• Attention to Detail: Commitment to data accuracy and quality in high-stakes financial reporting

Education

• Bachelor's degree in Finance, Economics, Statistics, Mathematics, Computer Science, Engineering, or related quantitative field
• Advanced degree (MBA, MS in Analytics/Data Science) or relevant certifications (CFA, CPA, data analytics certifications) a plus

What Makes This Role Unique This position sits at the intersection of data engineering, business intelligence, and strategic finance. You'll have the autonomy to architect solutions that shape how Stripe makes multi-million dollar decisions, while working with cutting-edge data technologies and some of the brightest minds in fintech. If you're energized by the prospect of building the analytics infrastructure that powers a global payments platform, this role is for you.

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

Job Description

The Senior Account Manager (SAM) oversees projects within a vertical account team to ensure quality and provide continuity and tactical alignment while also leading high-profile projects from the client through to the project manager and cross-functional team. The SAM will partner with the Account Director to assist brand partners with the development and management of the tactical plan. This role requires a strong awareness of the account’s strategic direction, as well as knowledge of clients’ products and processes. The success of this position relies on the success of the team, meeting clients’ expectations, partnering with Avant colleagues, and individual performance. 

What you’ll do:

• Ensure quality and consistency across multiple tactics that are led by both Avant and   external partners  

• Provide oversight and consultation to Account Managers as it relates to project execution  

• Act as the in-house client at all times by communicating client expectations to the crossfunctional team  

• Act as the Customer Management Office (CMO) liaison within the respective   account (vertical)  

• Provide invoicing information and budget status updates to clients as requested  

• Provide direction and review job scope changes and closeouts as necessary  

• Provide peer-to-peer channel insights and recommendations  

• Drive strategic partnerships with clients by having and applying knowledge of their products and objectives  

• Lead and actively participate in strategic brainstorming sessions and annual   strategic planning  

• Assist the business owner as needed with the following tasks  

• Create proposals for projects within assigned accounts  

• Partner with finance team and project managers in budget development  

• Perform other strategic work as delegated by the Account Director

• Ensure strategic objectives are met with each client project  

• Support organic growth opportunities for the account through a strong understanding of Avant capabilities, client needs, and attention to buying signals  

• Partner successfully with Project Management Team to execute projects from the initiating and planning phases through the closing phase  

• Develop and manage project creative briefs and client scope statements  

• Supervise projects to ensure tactical and strategic goals are met  

• Follow all policies, procedures, industry standards, and compliance guidelines and ensure team members’ adherence  

• Execute client status meetings and prepare all meeting materials and follow-up items (agendas, notes, etc.)  

• Partner successfully with Project Management Team to execute projects from the initiating and planning phases through the closing phase (cont.)  

• Monitor the overall project scope from a client and account perspective and communicate scope changes when necessary   

• Provide final approval on all deliverables to ensure strategic objectives are met

• Develop and communicate status reports with management and the client, monitor project and team results against client expectations   

• Monitor and manage project-related risks and issues in partnership with the project manager; resolve and escalate risks and issues to the client when needed  

 This position is a perfect fit for you if: 

• Our Company values – Best Together, Impact-Obsessed, Excellence Expected, Evolve Always and Accountability with an “I” – really speak to you. 

• You are adaptable, resilient, and OK with adjusting your scope, responsibilities, and focus as we grow. When things change, so do we. We’re always evolving. 

• You are proactive, driven, and resourceful with strong prioritization skills and a desire to dive into the data. 

• You are highly organized self-starter, able to work independently and under tight deadlines. 

• You speak social media: X, Facebook, Instagram, LinkedIn, Snapchat, YouTube, Pinterest, you name it. You have in in-depth knowledge of today’s top social platforms 

What you should have:   

• BA/BS or equivalent required  

• 3-4 years of team leadership experience required  

• 3-4 years of client/customer management experience required  

• 2+ years in pharmaceutical sales/marketing preferred  

• 2+ years’ experience in strategic planning preferred

• Leadership experience in a corporate, marketing, or life sciences environment preferred  

• Project management experience preferred

Pay Range: $85,000-$100,000

This is the pay range the Company believes it will pay for this position at the time of this posting.  Consistent with applicable law, compensation will be determined based on job-related, non-discriminatory factors including but not limited to work experience, skills, certifications, and geographical location. The Company reserves the right to modify this pay range at any time. 

Realize your potential by joining the leading performance-driven advertising company! 

As the Finance Shared Services Leader on the Finance Team in our Gurgaon office, you'll play a vital role in building and managing our new Finance Shared Service Center in India from the ground up. Serving as the trusted "right hand" to our global finance leadership, you are not just managing a team, you are establishing a foundational site. You will recruit, train, and manage a high-performing team dedicated to Accounts Receivable (AR) and Accounts Payable (AP), ensuring operational excellence, optimized process flows, and scalable improvements across our global financial landscape.

To thrive in this role, you’ll need:

• 8–10+ years of progressive experience in Finance Operations, with proven senior management experience overseeing global Finance Operations teams.
• Global tech industry experience is a must, coupled with a "Builder Mentality" and a track record of building, scaling, and training shared services teams.
• High adaptability to change, with the proven ability to thrive in a fast-paced, dynamic environment.
• Deep, hands-on operational expertise with both end-to-end Accounts Receivable (collections to cash application) and full-cycle Accounts Payable.
• Strong systems knowledge, with NetSuite proficiency highly preferred, alongside experience with global payment gateways and billing structures.
• A strong process optimization background, demonstrating the ability to map process flows, identify systemic bottlenecks, and execute effective solutions.
• Operates with a high degree of independence and discretion, safeguarding sensitive financial operations while serving as a trusted leader and guiding the team.

How you’ll make an impact:

• Strategic Partnership & Site Operations: Serve as the trusted "right hand" to global finance leadership, playing a central role in launching the India Finance Shared Service Center and building its organizational structure.
• Team Building & Leadership: Recruit, onboard, train, and manage a high-performing team of AR and AP professionals, cultivating a culture of accountability and excellence.
• AR Management: Oversee the end-to-end AR process to ensure healthy cash flow, minimize DSO, and manage proactive collections, cash application, and month-end closing.
• AP Management: Direct the full P2P cycle, ensuring timely vendor payments, accurate NetSuite recording, and execution of global payment runs.
• Process Improvement & AI Integration: Analyze and document current process flows to identify operational gaps. Continuously explore ways to leverage different AI tools and capabilities to drive ongoing process improvements, making operations more effective and efficient over time.

What we offer:

• Fantastic global career opportunities, competitive salary and generous benefits.
• The chance to be part of building something unique.
• Invaluable experience in the world’s leading discovery & native advertising platform
• The opportunity to join an international team, that’s ambitious, revenue driven with a deep technical knowledge of digital advertising so the chance to learn from the best.
• A company that embraces change, has enormous potential for growth and offers a challenging yet collaborative working environment where you will always feel valued and be given every opportunity to make a name for yourself.
• An office culture that’s international, social, and supportive.

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

• Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.
• Well-being: With an office culture that’s international, social and supportive, Taboola offers very generous benefits including 30 days holiday, excellent health insurance, some flexible working, and stock options to name just a few.
• Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Work with some of the biggest names: We work with some of the biggest names in the business. Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, Expedia and Honda.

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

Sounds good, how do I apply?

It’s easy, submit your CV by clicking the “Apply” button below. 

Role Overview

We are looking for a highly experienced Senior QA Manager to own end-to-end quality for SonicOS, the core operating system powering SonicWall’s next-generation firewall products. This is a high-impact leadership role where you will define quality strategy, drive automation and test infrastructure investments, and partner closely with Product Management, Development, Release Engineering, DevOps, and Support teams to ensure every release meets high standards of reliability, security, and customer trust.

You will be responsible not just for test execution, but for shaping how quality is built into the product lifecycle — from early design reviews and threat modelling to release readiness and post-release learning.

Key Responsibilities

Quality Strategy & Release Ownership

• Define and continuously improve the QA strategy for SonicOS across major releases, patches, and hotfixes
• Establish quality gates, entry/exit criteria, and clear release readiness standards
• Drive risk-based testing and shift-left practices to catch issues early
• Own go/no-go decisions for releases from a quality standpoint

Firewall Domain & Technical Leadership

• Provide strong technical leadership across firewall features such as:
• Stateful firewall, NAT, VPN (IPSec/SSL), routing, HA
• Security services like IPS, DPI-SSL, Gateway AV, App Control, Web Filtering
• Review PRDs, design documents, and architecture proposals with a quality & security mindset
• Define comprehensive test strategies covering:
• Functional correctness and complex E2E customer workflows
• Performance, scale, and stress (throughput, sessions, DPI impact)
• HA failover, upgrades/downgrades, config migrations, and long-run stability
• Champion security and negative testing to validate abuse cases and threat scenarios

Automation, CI/CD & Test Infrastructure

• Define the long-term automation vision (UI, API, CLI, E2E) and measurable coverage goals
• Partner with automation leads to build scalable, reliable frameworks integrated into CI/CD
• Drive stability and reliability of automated test suites (reduce flakiness, improve signal)
• Own strategy for testbeds spanning hardware appliances, virtual firewalls, and cloud deployments
• Work with infra teams to ensure availability, capacity planning, and reliability of test environments

Execution Excellence & Metrics

• Own and track key quality metrics: defect leakage, escape rate, regression effectiveness, automation ROI, flakiness trends
• Lead regular release readiness and quality reviews with senior stakeholders
• Drive deep root cause analysis for production escapes and systemic quality gaps
• Convert learnings from field issues into preventive quality improvements

People Leadership & Stakeholder Influence

• Build, mentor, and retain a strong leadership bench of QA managers, leads, and senior engineers
• Set clear expectations, career paths, and technical growth plans for the QA organization
• Influence engineering leadership and PMs to prioritize quality, reliability, and customer impact
• Represent QA in leadership forums, customer escalations, and cross-functional reviews

Required Skills & Experience

• 10+ years of total technical experience, including at least 2+ years in a management or leadership role
• Strong background in testing firewall / network security products or similar system software
• Deep understanding of networking and security fundamentals (TCP/IP, routing, NAT, VPN, HA, IPS/DPI concepts, authentication mechanisms)
• Experience owning quality for complex, large-scale system software releases
• Proven leadership experience managing and scaling QA teams across geographies
• Strong exposure to automation strategy and CI/CD-driven quality practices
• Excellent communication skills with the ability to influence senior technical stakeholders

Good to Have

• Prior experience with SonicOS or comparable firewall OS platforms
• Exposure to security compliance programs (FIPS, Common Criteria, SOC2)
• Experience testing in hybrid environments (hardware + virtual + cloud)
• Experience handling customer escalations and field issue RCA

What Success Looks Like

• Predictable, high-quality SonicOS releases with reduced Sev1/Sev2 customer issues
• Measurable improvement in automation coverage and test effectiveness
• Faster feedback cycles for Dev and PM through shift-left and CI/CD integration
• Strong QA leadership bench and high team engagement
• Improved customer trust and reduced critical escalations

#LI-KB7

#LI-Remote

#LI-Pune

Role

We are looking for a Staff Information Security Engineer to join our Cyber and Data Security team. This is a Bangalore based role, reporting to the Director, Information Security Engineering. You will lead pentesting efforts across our applications and infrastructure while conducting deep security architecture reviews. By prioritizing vulnerabilities and driving security automation, you will serve as a critical partner to our engineering and operations teams in safeguarding our global ecosystem.

What you’ll do (Role Expectations)

• Perform advanced pen-testing on applications and infrastructure to identify and mitigate risks

• Conduct security architecture reviews and provide strategic recommendations for complex systems

• Partner with engineering and operations teams to prioritise vulnerabilities for remediation

• Design and implement security automation to streamline repetitive tasks and improve efficiency

• Lead security assessments across web applications, thick clients, and APIs

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.

• 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. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.

• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.

• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.

• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• 5+ years of experience in manual security assessments using industry-leading tools for web applications, thick clients, and APIs

• Expertise in thick client penetration testing across Windows, Mac, Linux, Android, and iOS platforms

• Proven experience conducting security architecture reviews in network security and complex application environments

• Strong fundamental knowledge of security concepts, cryptography, Unix architecture, and networking

• Ability to read and debug programming languages such as C/C++, Java, or Javascript to identify security weaknesses

What Will Make You Stand Out (Preferred Qualifications)

• Proven ability to validate findings and perform thorough root cause analysis

• Advanced scripting knowledge used to automate repetitive security tasks and research

• Experience or interest in emerging security research areas including Container, AI/ML, or Cloud security

#LI-Hybrid #LI-PM5

Role

We are looking for an experienced Staff Machine Learning Engineer to join our Engineering team. This role is based in Bangalore, reporting to the Manager, Machine Learning Engineering. You will be responsible for building and maintaining large-scale distributed systems that power our entire ML pipeline, from data collection to real-time serving. You'll solve complex real-world business problems by partnering closely with data scientists and product teams to deliver impactful automation and intelligence.

What you’ll do (Role Expectations)

• Build and maintain large-scale distributed systems to support the whole pipeline including data collection, feature engineering, model training, model evaluation, model deployment, and real-time serving
• Develop functional specifications, assess task requirements and scheduling, and participate in the development, debug, and support
• Solve complex real-world business problems like threat detection and business intelligence by working closely with stakeholders including data scientists, product management, and product engineering teams

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
• 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. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• 5+ years of experience as a Software Engineer or ML Engineer
• Experience with applying machine learning for improving key business metrics, optimized models for accuracy, latency
• Experience with researching newer techniques, and innovating for building ML based solutions
• Experience with algorithms in building out data collection/processing infrastructure, Machine Learning model training, and serving platforms
• Deep expertise with cloud infrastructure (AWS)

What Will Make You Stand Out (Preferred Qualifications)

• Proven track record of designing, building and shipping end-end applications at scale
• Experience identifying and solving problems in data using machine learning systems
• Familiarity with multi-agent systems, agent architectures, prompt engineering and SOTA AI frameworks

#LI-Hybrid #LI-AN4

Role 

We are looking for an experienced Staff Machine Learning Engineer to join our Engineering team. This role is based in Bangalore, reporting to the Senior Engg. Manager - Data + AI.

You will be responsible for designing and developing large scale ML Systems that analyze massive volumes of network data to detect anomalies, threats, and patterns in near real-time. You’ll solve complex real-world business problems by partnering closely with data architects and product teams to deliver impactful automation and intelligence, including the design and orchestration of specialized autonomous agents.

What you’ll do (Role Expectations)

• Build and maintain large-scale distributed systems to support the full ML lifecycle, including data collection, feature engineering, and Agentic AI components like agent workflows and real-time serving
• Solve complex business problems such as threat detection by collaborating with data architects and product teams to build multi-agent solutions that automate analysis and decisioning
• Partner with cross-functional teams to assess requirements, manage scheduling, and lead the development and debugging of agent-based systems
• Support the rollout and monitoring plans for production-grade ML systems to ensure performance, observability, and scalability

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
• 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. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• 5+ years of experience as an AI-ML Engineer with technical proficiency in Java, Springboot, Python, and PyTorch or TensorFlow
• Proven experience writing high-performance queries for large-scale analytics platforms such as Azure Data Explorer (ADX/Kusto) or Google BigQuery, including partitioning-aware patterns
• Deep expertise in designing and deploying anomaly detection using tree-based models, statistical techniques, and streaming ML approaches
• Hands-on experience developing multi-agent orchestration, agent-to-agent communications, and autonomous decision-making workflows
• Strong technical background with distributed infrastructure and public cloud platforms like Azure, GCP, or AWS

What Will Make You Stand Out (Preferred Qualifications)

• A track record of shipping end-to-end applications at scale that process billions of events
• Willingness to work across the full spectrum of Big Data and AI-based solutions
• Hands-on experience with SOTA AI frameworks, prompt engineering, and complex agent architectures

#LI-Bangalore #LI-AN4

Role 

We are looking for a Staff Machine Learning Engineer to join our Exposure Management & Security Operations team. This role is a hybrid position based in Bangalore, reporting to the Sr. Manager, Engineering Strategy, Planning & Analytics. You will join the team that built the world’s largest cloud security platform from the ground up, helping to scale a multitenant architecture that serves over 15 million users globally. Your vision and passion will be critical as we continue to innovate and enable organizations to harness the speed and agility of a cloud-first strategy.

What you’ll do (Role Expectations)

• Designing and deploying scalable, reliable, and efficient production-grade Gen AI/ML systems from data ingestion to monitoring
• Driving innovation by researching and evaluating emerging AI/ML frameworks, rapidly prototyping novel solutions, and championing full-scale implementation
• Implementing and maintaining robust MLOps practices, including logging, monitoring, and CI/CD pipelines for distributed ML systems
• Leading and mentoring junior engineers in system design best practices and promoting technical excellence
• Collaborating with cross-functional teams to translate complex business needs into technical solutions

Who You Are (Success Profile)

• You thrive in ambiguity and are comfortable building the path as you walk it, seeing dynamic environments as the raw material to build something meaningful.
• You act like an owner with a passion for the mission and a bias for action, navigating seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver who seeks out challenges because you are energized by finding solutions that deliver the biggest impact.
• You are a learner with a growth mindset, actively seeking feedback to become a better partner and a stronger teammate.
• You are driven by innovation and have a deep curiosity for how things work, believing in the power of technology to accelerate transformation.

What We’re Looking for (Minimum Qualifications)

• At least 5 years of experience as a Machine Learning Engineer with a track record of shipping complex, scalable ML systems to production
• Proven experience building Gen AI/ML systems with LLMs, fine-tuning, Retrieval-Augmented Generation (RAG), and Agentic AI in production environments
• Experience designing and implementing distributed ML systems with deep knowledge of MLOps, including monitoring and logging
• Strong computer science foundation in data structures, algorithms, and system design with expertise in Python and SQL
• Excellent communication and interpersonal skills to partner effectively across global engineering teams

What Will Make You Stand Out (Preferred Qualifications)

• Expertise with cloud services such as AWS, GCP, or Azure and ML platforms like Kubeflow or SageMaker
• Proficiency in systems programming languages like Go or Rust with an understanding of distributed systems and networking fundamentals
• A record of research, publications, or patents in AI/ML

#LI-Hybrid #LI-VV3

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 Ignite

We are Inizio Ignite, the global advisory partner for health and life sciences encompassing connected expertise across Research Partnership, Putnam, STEM, and Vynamic. Guided by purpose, passion, and precision, we collaborate with clients to ignite impact, accelerate performance, and deliver lasting change for patients. By uniting strategy, insights, and innovation with a unique depth and breadth of expertise, we drive transformation and shape the future of health. Proudly part of Inizio – the market-leading commercialization partner for health and life sciences. From early-stage development to loss of exclusivity, we simplify complexity, unlock value, and make collaboration seamless at every pivotal moment – helping healthcare leaders shape strategy and drive meaningful change. 

About the Role

We are seeking an experienced Data Science Manager to join our team at Inizio Ignite. The ideal candidate will bring deep machine learning expertise, strong GenAI and cloud competencies, and hands-on experience delivering analytical solutions that drive meaningful business impact for life sciences clients.

This leader will manage data scientists, oversee project delivery, partner with cross-functional teams, and shape the development of innovative AI/ML solutions.

What you'll be doing

Leadership & Delivery

• Lead and manage a team of data scientists, providing technical guidance, mentorship, and performance oversight.
• Own end-to-end delivery of data science and GenAI engagements for pharma/biotech clients.
• Translate business problems into analytical frameworks and ensure high-quality, timely project execution.
• Drive adoption of AI/ML capabilities across client engagements and internal initiatives.

Technical Responsibilities

• Architect, design, and review ML, statistical, and GenAI solutions, ensuring scalability, accuracy, and alignment with business objectives.
• Oversee the development, validation, and deployment of predictive models, NLP pipelines, and GenAI-based applications (e.g., summarization, insights automation, generative workflows).
• Lead cloud-based solution deployment (AWS, Azure, or GCP) including orchestration, MLOps best practices, and integration with enterprise systems.
• Ensure adherence to model governance, compliance, and responsible AI frameworks.

What you'll need

• Extensive experience in data science or advanced analytics roles, with at least 2–3 years in a leadership or managerial capacity.
• Ideally prior experience in pharmaceutical, biotech, or healthcare consulting is mandatory.
• Strong expertise in machine learning, NLP, deep learning, and GenAI (LLMs, prompt engineering, RAG, fine-tuning, embeddings).
• Hands-on experience with cloud platforms such as AWS, Azure, or GCP; exposure to MLOps frameworks preferred.
• Proficiency in Python, SQL, and common DS/ML libraries (TensorFlow, PyTorch, scikit-learn, Hugging Face, LangChain, etc.).
• Proven experience managing teams, delivering client projects, and presenting to senior stakeholders.
• Good to have understanding of pharma datasets (claims, RWE, clinical, medical insights, social data) and key use cases.
• Experience building GenAI solutions in production environments

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.

Technical Support Specialist

Role Overview:

Global Support is committed to excellence for our customers by providing legendary service on every support case. Technical Support Specialists are responsible for answering client questions and performing basic troubleshooting of platform issues. This position requires daily client contact through inbound calls, emails and messages from our customer portal. TSS team members determine the nature of a client’s request, prioritize the case appropriately and work diligently to resolve the case efficiently while exceeding client expectations.

Role Expectations:

• Ensure a high level of service and support, across multiple channels, by providing expert advice and support in a professional and confident manner.
• Efficiently prioritize, manage and resolve individual support cases within our ticketing system based on urgency and impact.
• Proactively monitor and follow-up on owned cases to guarantee timely resolution and high customer satisfaction.
• Develop a deep understanding of customer needs in order to effectively address and resolve issues, demonstrating empathy, professionalism, and a dedication to understanding and meeting customer needs.
• Adhere to team processes and best practices for case and queue
• Maintain product proficiency by engaging in continuous learning to stay updated on technological advancements that are relevant to our products and services.
• Ensure clear, concise, and timely communication of status updates and issues are provided to customers.
• Effectively articulate and escalate issues to Technical Support Engineers, while maintaining high standards of documentation and communication.
• Communicate technical information clearly and effectively to both technical and non-technical
• Openly communicate within the team to promote collaboration and leverage collective skills and knowledge to drive results.

Required Qualifications:

• 1+ years of related support/service experience, ideally in the SaaS space or equivalent
• Bachelor’s degree in computer science or equivalent degree
• Active command of the English language required
• Basic knowledge of web technologies/tools (HTML, XML, Web Services, API, relational data, etc.)
• Basic knowledge of Linux/Unix production environments, networking and security concepts
• Basic knowledge of databases including SQL

Additional Qualifications:

• Basic knowledge of high level computer languages (C/C++, Java, Perl, Ruby, Python, AWS)
• Experience working in complex, dynamic, fast-paced
• Email marketing or digital marketing software
• Strong written and verbal communication
• Soft skills:
  • Teamwork
  • Proactivity
  • Attention to Detail

Company Summary

Zeta Global is a 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.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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

https://www.forbes.com/sites/shelleykohan/2024/06/1G/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/20240G04622808/en/Zeta-Increases-3Q%E2%80%GG24-Guidance

https://www.prnewswire.com/news-releases/zeta-global-opens-ai--data-labs-in-san-francisco-and-nyc- 300S45353.html

https://www.prnewswire.com/news-releases/zeta-global-recognized-in-enterprise-marketing-software-and-cross-channel-campaign-management-reports-by-independent-research-firm-300S38241.html

Zeta Marketing Platform (ZMP) is a machine learning/AI powered customer acquisition and CRM multi-tenant platform. The backend developer will work on server-side APIs and services that enable a highly distributed event pipeline and a stack that gets tens of thousands of messages per second.

As a senior member of the Software Engineering team, you will join the group responsible for designing, developing, and owning the distributed systems CRI 1 platform for Zeta. You will collaborate with your fellow Engineers and Product managers to develop a roadmap and subsequent projects to build the next generation comprehensive, multichannel marketing solution that unifies and unlocks data across digital touch points, driving return on marketing investment.

You should have a deep knowledge of distributed systems and cloud architecture. You will need extensive design and development experience and be passionate about working with high-throughput systems where the issues of throughput, performance, redundancy, and concurrency are paramount.

 Key Responsibilities:

 As a Senior Software Developer, you will be:

• Responsible for independently and cooperatively understanding business requirements, designing, and implementing core components for real-world marketing automation platform.
• Designing, implementing application code to satisfy product requirements
• Ensuring high product quality through rigorous code reviews and unit tests
• Fixing bugs and implementing enhancements
• Taking ownership of a significant product component in design and implementation

Requirements:

• We are looking for exceptional talent with superior academic credentials and a solid foundation in computer sciences and distributed systems design and development.
• The candidate will have at least 4 years of experience developing scalable, robust sohware platforms using Java/Ruby/Python or an equivalent language.
• An undergraduate degree in Computer Science (or a related field) from a university where the primary language of instruction is English is strongly desired.
• Strong communication skills in a large-distributed development team environment are essential.
• Experience in Advertising Attribution domain is a plus

Requirements:

• BS or MS in Computer Science or related field
• 4 - 8 years of working experience with J2EE technology, Python or equivalent OO paradigm
• Strong knowledge and experience with Kafka, Elastic Search, Airflow, NoSQL databases such as Aerospike,Thrift, Cl, and AWS.
• Experience with SQL languages
• Experience working with container-based solutions is a plus.
• Experience working in a fast-paced technology environment.
• Strong object-oriented programming and design skills.
• Excellent problem solving, critical thinking, and communication skills.
• Ability and desire to learn new skills and take on new tasks.

 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 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.

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 

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 

As our  RPA Automation Manager you will be required to: 

Automation Delivery & Technical Leadership

• Own and manage the end-to-end RPA lifecycle: process discovery, solution design, development, testing, deployment, monitoring, and optimization.
• Design and oversee enterprise-grade automations using UiPath (Cloud & Desktop) and Power Automate.
• Ensure solutions meet enterprise standards for security, performance, scalability, resiliency, and auditability.
• Lead complex automations involving API integrations (REST/SOAP), databases, and cross-system workflows.
• Troubleshoot and resolve production issues, conduct root cause analysis, and drive continuous improvement.

Team Leadership & Mentorship

• Lead, mentor, and guide a team of RPA Developers, Senior Developers, and RPA Ops Engineers.
• Review solution designs, code quality, and adherence to best practices (e.g., REFramework).
• Support hiring, onboarding, upskilling, and performance management of RPA team members.
• Promote a culture of quality, ownership, and continuous learning.

Stakeholder & Business Partnership

• Act as the primary point of contact for business stakeholders on all RPA initiatives.
• Translate business requirements into scalable automation solutions with clear ROI.
• Partner with IT, DevOps, Infrastructure, and Architecture teams for deployments and environment stability.
• Support prioritization, capacity planning, and delivery commitments across multiple initiatives

Governance & Operational Excellence

• Define and enforce RPA standards, frameworks, and development guidelines.
• Maintain strong documentation practices, including process maps, design documents, runbooks, and support guides.
• Monitor bot health, uptime, and operational KPIs to ensure reliable production performance.
• Contribute to or collaborate with the RPA / Automation Center of Excellence (CoE).

To apply for this role, you should possess the following skills, experience and qualifications: 

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 8–12 years of overall experience, with 5+ years in RPA
• Strong hands-on expertise in UiPath (Studio, Orchestrator, enterprise deployment models).
• Prior experience in a technical manager role within RPA or Intelligent Automation.
• Understanding and Experience in “Agentic AI” in automation is desirable.
• Solid experience with:

• • REFramework and reusable automation patterns
  • API integrations and authentication mechanisms
  • Databases and SQL fundamentals
  • Version control systems (Git or equivalent)
  • RPA lifecycle management and exception handling

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.

Secure Every Identity, from AI to Human

Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

Okta seeks a skilled Staff Full Stack Engineer with expertise in NetSuite and/or  Oracle Fusion Cloud Applications. As part of our Business Technology team, you will be responsible for developing and optimizing full-stack solutions, including custom scripts, workflows, integrations, and system enhancements for both NetSuite and Oracle Fusion to improve business processes and scalability. This role will report to the Manager in Bangalore, India. We’d love to hear from you!

Job Duties and Responsibilities

• Design, develop, and maintain full-stack solutions for Finance Tech stack like NetSuite, Coupa and Oracle Fusion Cloud Applications etc., using any of the full-stack applications like Node Js/React
• Develop and maintain robust off-platform integration scripts using Python & LangChain to manage data transfer and interactions between NetSuite (via SuiteTalk or RESTlets) and AI Platforms
• Architect and implement scalable, secure, and cost-efficient cloud-native solutions on AWS for RAG, MCP, and Agentic AI (LangGraph) 
• Closely work with the BT Product Manager to design, develop, test, implement & support system solutions primarily in Finance Technology
• Provide technical consultation, best practices, and problem resolution for AI and Agentic AI for the Finance tech stack NetSuite, Oracle Fusion, and associated integrated systems
• Support & resolve production issues across the full application stack
• Develop and maintain integrations with third-party applications via REST/SOAP APIs
• Design and implement custom Generative AI solutions using the SuiteScript Generative AI API for practical NetSuite use cases and explore similar capabilities in Oracle Fusion

Required Skills:

• 9+ years in Python and its libraries (e.g., Pandas, Boto3) for data manipulation, ETL processes, and developing serverless functions to interact with foundational AI services on platforms like AWS Bedrock.
• Deep hands-on experience with AWS solutioning, including designing and deploying production applications using core services such as AWS EC2, AWS Lambda, Amazon S3, Amazon RDS, and API Gateway. Familiarity with Infrastructure as Code (IaC) tools like CloudFormation or Terraform is essential.
• Proficiency in NetSuite development experience (SuiteScript, SuiteFlow, SuiteTalk).
• Experience with SuiteCloud tools, REST/SOAP APIs, and third-party integrations.
• Experience with the SuiteScript Generative AI APIs to integrate LLM capabilities for advanced scripting solutions
• Strong understanding of Finance Business processes (Order Management, Billing, Vendor bill, etc.).
• Proficiency in JavaScript, SQL, and related web technologies
• Configure NetSuite modules to align with business needs, including leveraging Prompt Studio to customize and manage NetSuite AI functions like Text Enhance.
• Ability to drive and architect solutions with other developers, focusing on maximizing the value of embedded NetSuite AI capabilities
• Working Experience on the MCP and familiar with SaaS MCP connectors, like NetSuite MCP or similar
• Working experience with foundational AI services, with a desire to use a unified platform like AWS Bedrock for Generative AI development and deployment
• Nice to have some core Amazon Machine Learning (ML) services, specifically AWS SageMaker (for building, training, and deploying custom ML models), AWS Comprehend (for natural language processing and text analytics), and  Retrieval Augmented Generation (RAG)

Education and Certifications

• A Bachelor’s degree in Computer Science, Information Systems, or equivalent years of industry experience
• AWS cloud Certification or any ERP foundation certificate is a plus

#P16568_3435773
#LI_Hybrid

This new team will architect the platform foundation and infrastructure that enables a "build once, run anywhere" model, ensuring our AI-powered modernisation suite operates seamlessly regardless of a client's security or network constraints. We are looking for engineers to join this high-visibility initiative, where you will solve unique distributed systems puzzles and help shape the future of how global enterprises leverage GenAI.

We are looking for an experienced software engineer who thrives on solving infrastructure constraints and building enterprise facing platforms. 

The ideal candidate is a hands-on technical leader who can architect complex distributed systems, mentor engineers, and collaborate with product teams to deliver a platform that minimizes deployment friction and meets customers’ compliance requirements.

This role can be based out of our Gurgaon office or Remotely in India.

The ideal candidate for this role will have

• 8+ years of software development and operations experience, with a focus on building platforms and distributable software infrastructure.
• 2+ years of experience leading, coaching, and mentoring a team of engineers to achieve high-impact results.
• Deep experience designing distributable applications that run in air-gapped or highly restricted network environments.
• Strong proficiency in containerization and orchestration, with the ability to design systems where the host executes containerized applications under strict security monitoring.
• Experience building Service Host architectures that provide shared routing, proxy layers, and API gateways for multiple underlying services.
• Experience managing persistent storage solutions (blob/file storage) within distributed systems.
• Understanding of security-first design, specifically regarding the execution of untrusted code, fine-grain access control, and rigorous input validation.
• Experience designing auto-update mechanisms for software that cannot directly access the public internet.
• Curiosity, a positive attitude, and a drive to continue learning.

Position Expectations

• Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, and continuous improvement.
• Drive the distributed infrastructure for the Application Modernisation Platform, ensuring it supports a self-service SaaS product model while operating within client-controlled environments.
• Lead the design and implementation of a sophisticated orchestration layer that manages authentication, telemetry, and the lifecycle of modernization tools.
• Architect a client-side application that manages developer workflows and communicates securely with hosted services.
• Solve complex "Day 2" operations challenges, such as designing interfaces to solve DevOps challenges to manage users, secrets, and updates.
• Collaborate with security and product teams to ensure the platform can execute code generation and LLM-based tasks securely, protecting both client data and MongoDB IP.
• Act as a hands-on leader, guiding the team through technical challenges related to container security, local vs. hosted logic distribution, and cross-service data sharing.

Success Measures

Within the first three months, you will have:

• Fully ramped up on our architecture, business domain, and the specific constraints of deploying software to large enterprise client environments.
• Established yourself as the technical leader within the team, actively driving technical decisions.
• Begun mentoring team members and collaborating with product counterparts to define the integrations between the platform and the tools it hosts.

Within six months, you will have:

• Successfully led the team to deliver a prototype or initial release of the Deployment Platform that supports the core modernization toolset.
• Designed and implemented a streamlined process for platform updates that works within client security constraints.
• Established a precise rhythm of execution and served as a role model for a high-performing team.

Within 12 months, you will have:

• Become recognized as the go-to technical expert for the deployment and operations domain at MongoDB.
• Delivered a stable, production-ready platform that allows our Field Engineering teams to deploy tools without significant delays or approvals.
• Played a crucial role in helping recruiting and growing the engineering team.

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Role - Staff Software Engineer: Industry Assurance Platform

The Problem We’re Solving

Most disaster recovery is a checkbox. What happens when a ransomware attack doesn't just take down one server, but knocks out the entire ecosystem of suppliers and trading partners for weeks? In healthcare, that’s a catastrophe. We are building an industry-wide, high-availability trading platform that steps in when the primary systems fail.

What We Need You to Do

We are seeking a highly skilled and hands-on Staff Software Engineer to provide deep technical leadership within our engineering organization. This role is intended for senior technologists who excel at solving complex engineering problems, driving architectural excellence, and elevating the technical capabilities of the broader team.

The Staff Engineer operates as a senior individual contributor who influences technical direction, mentors engineers, and collaborates cross-functionally to deliver scalable, reliable, and high-quality software solutions. This role does not include direct people management responsibilities but carries significant technical ownership and organizational impact.

Key Responsibilities

· Technical Leadership – Design and implement scalable, secure and hig-performance software system; Lead complex technical initiatives spanning multiple teams or systems

· Hands-on Development – Contribute actively to codebase through design, development, code reviews and performance optimizations; Champion modern practices including automation, observability and resiliency

· Mentorship – Promote high standards in coding, testing, documentation and system design; develop technical talent by sharing knowledge

· Cross-functional collaboration – Partner closely with Product Management, Marketing, Operations and other stakeholders to translate business needs to technical solutions; Communicate complex technical concepts to non-technical audience

· Execution & Delivery – Provide leadership during planning, estimation & execution phases

Required Qualifications

· Bachelor’s degree in Computer science, Engineering or equivalent

· 8-10 years of experience in designing and building distributed software systems using Microsoft tech stack (.Net, C# )

· Experience in cloud services Azure/AWS Lambda, SQS, API Gateway, ECS etc.

· Hands-on experience with messaging systems like Kafka or Azure Service Bus

· Knowledge of Entity Framework, LINQ, PostgreSQL, MongoDB

· Implementing responsive UI using HTML5, CSS3, Angular

· Implementing CI/CD pipelines using Azure DevOps, GitHub Actions. Knowledge of Containerization and orchestration tools

· Implement testing strategies using unit, integration and API testing

Preferred Skills

· Multi-Cloud & Serverless Experience: Familiarity deploying applications on Azure & AWS specific services like Lambda and Step Functions (for hybrid-cloud orchestration)

· Leverage AI-powered tools - GitHub Copilot/Claude Code/Cursor - to accelerate delivery

· Exposure to AI/ML integration for predictive analytics

Impact of the role

Success in this role will be measured by technical outcomes — improved system scalability and stability, stronger engineering practices, accelerated delivery through mentorship, and effective collaboration across organizational boundaries.

The role

Nebius is looking for a Senior Salesforce Administrator. As a Senior Salesforce Administrator in our hyper-growth environment, you will play a foundational role in building and scaling our CRM ecosystem from day one. This is a position where you will not only configure and manage Salesforce, but also analyze business processes, design intelligent workflows, and apply data-driven insights to help teams move faster.

You will partner with Sales, Marketing, Customer Success, Product, and Engineering to architect a next-generation CRM platform that supports rapid scaling, automation-first operations, and AI-driven decision-making. This is an opportunity to shape the backbone systems of a fast-growing AI company—creating a CRM foundation that is flexible, automated, and built for high-velocity go-to-market teams.

You’re welcome to work remote from India.

Your responsibilities will include:

Administration, Configuration & Automation

• Own day-to-day Salesforce administration, including user access, permissions, security controls, page layouts, objects, record types, and data governance.
• Build scalable automation using automation to replace manual processes and enable operational efficiency.
• Work with stakeholders to map business processes, identify gaps, and design technical solutions aligned with the needs of a hyper-growth GTM engine.
• Translate business requirements into clear user stories, functional specs, and structured workflows.
• Analyse CRM usage patterns and funnel metrics to recommend operational and process improvements.
• Use Salesforce reporting and dashboards to surface insights that help leaders make data-backed decisions.
• Maintain documentation of data models, configurations, integrations, and process maps.
• Collaborate with GTM teams to build lead management flows, sales processes, customer lifecycle models, and AI-powered workflow automations.
• Deliver training, onboarding, and ongoing support to ensure strong user adoption across fast-scaling teams.
• Manage data imports/updates, deduplication, and data cleansing initiatives.
• Support integration efforts with GTM systems, marketing automation platforms, billing systems, and internal tools.
• Troubleshoot issues proactively and act as the go-to expert for platform reliability and performance.

We expect you to have: 

• 4–7+ years in Salesforce Administration with Enterprise CRM experience.
• Strong expertise in Salesforce configuration, automation (Flows), data modelling, and security.
• Demonstrated experience acting in requirements gathering, process design, workflow mapping, and reporting.
• Experience supporting high-velocity GTM teams (Sales, Marketing, Customer Success).
• Strong analytical skills with the ability to translate raw CRM data into insights and actionable recommendations.
• Familiarity with integrations, connected apps, APIs, and middleware (no coding required, but technical comfort is essential).
• Experience with lead routing, funnel analytics, lifecycle automation, or revenue operations tooling is highly valued.
• Excellent communication skills with the ability to influence stakeholders in a fast-changing, high-pressure environment.
• Salesforce certifications such as Admin, Advanced Admin, or Platform App Builder preferred.

Introduction:

Are you searching for an opportunity to play a key role in driving the dramatic growth of a highly successful software company? 

At Poppulo, we’re working on what’s next in communications and workplace technology. As a pioneer in this industry, we understand that meaningfully reaching every employee is hard. And so is managing office space in a hybrid world. And so is improving the customer and guest experience. We exist to make each of these things easier. We exist to bring harmony to our customers. 

And we do that at enterprise scale. Our omnichannel employee communications, customer communications, and workplace experience platform is trusted by over 6,000 organizations today, reaching more than 35M employees and delivering content to 500,000+ digital signs.

We know there’s no such thing as a “perfect" candidate - we’re all a work in progress and are growing new skills and capabilities all the time. We encourage you to apply for a position with Poppulo even if you don’t meet 100% of the requirements. We believe in fostering an environment where there is a diversity of perspectives, in hopes that we can all thrive. 

The Opportunity

We are looking for a Sr. Machine Learning (ML) Engineer with a strong sense of ownership. If you are an ML practitioner who thrives in an environment where innovation meets practical application to build disruptive products, this role is for you. 

At Poppulo, we intend to redefine boundaries and reshape Employee Communications and Digital Signage through the power of cutting-edge machine learning and AI. We are not just building products; we are disrupting the status-quo with transformative solutions that challenge conventional thinking, create competitive edge and create new market opportunities. 

This role is pivotal to the success of our AI team. It is the backbone of our ML initiatives. This role bridges the gap between research and production by leveraging cutting-edge AI technology into leading, world-class solutions.  

As a Sr. Full-Stack Machine Learning (ML) Engineer, you be the key driver for innovative problem solving by combining technical excellence with creative application of ML. Your expertise will be crucial in uncovering hidden opportunities within product ideas, including the design and deployment of agentic AI systems that can reason, plan, and act autonomously within real-world product constraints. Additionally, you will stay at the forefront of emerging technologies, continuously evaluating new AI/ML frameworks, tools, and best practices to help guide the evolution of our software solutions. 

Key Responsibilities

• Own end-to-end delivery of AI features across model, backend, APIs, UI integration, deployment, monitoring, and iteration in production
• Solve complex challenges with AI/ML: Design, develop new AI-powered products that deliver the product roadmap, including agentic AI solutions that orchestrate LLMs, tools, and workflows to solve multi-step problems autonomously.
• Implement ML lifecycle - from data engineering and model development to cloud-based deployment, integrations and operationalisation. Incl. MLOps 
• Productionise full-stack AI/ML solutions: Translate emerging techs like GenAI& agenticAI architectures into innovative, practical solutions that transform customer experiences. 
• Align with Product Strategy: Create proof of concepts at high cadence to demonstrate/validate potential solutions as per our product strategy. 
• Optimise Model and system performance: Fine-tune, optimise training and inference performances, including latency, cost, and reliability trade-offs in agent-based and LLM-driven systems.
• Wider collaboration: Partner with cross-functional teams to demonstrate and validate the impact of ML innovations before introducing them into the product ecosystem. 
• Research Savvy: Staying up-to-date with SOTA and industry trends in AI/ML, with a strong awareness of advances in agentic systems, autonomous workflows, and multi-agent architectures. 

Technical Skills / Competencies  

• Strong AI/ML background: Expertise in designing, building and deploying real-world ML applications (Computer Vision, Classification, etc.) 
• Strong foundation in GenAI: Deep understanding of generative models (LLMs, etc.), AI Agents, prompt engineering RAG, vector databases. 
• Technical Expertise: Proficiency in ML/GenAI frameworks, databases, shell scripts and programming languages, including frameworks and tools commonly used for building and orchestrating AI agents.
• MLOps expertise: Hands-on experience in setting up MLOps on AWS, Azure and GCP. 
• Full-stack expertise: Proficiency in data pipelines, distributed systems, APIs, web front-end, mobile apps, automated testing and cloud platforms (AWS, GCP, etc.). 
• Exceptional problem-solving skills: Ability to simplify and breakdown complex technical and business challenges to create innovative and practical solutions. 
• Team management: Experience in guiding teams to deliver high-impact solutions. 
• Continuous learning: Ability to learn quickly and apply new technologies to solve problems practically. 

Education & Experience

• Master’s or PhD in AI/ML or a related field
• At least 6+ years of experience building software or AI systems, including 1–3 years working with LLMs, generative AI, or AI agent architectures.

Why Us? 

• An excellent workplace culture 
• Competitive salary 
• Company performance-related bonus
• Medical insurance 
• Flexible working hours 
• Educational assistance 
• In-house soft skills training 

Who We Are

We are a values-driven organization that encourages our employees to bring their authentic selves to work every day and empowers everyone to make a tangible impact on our products, clients, and culture. We offer a dynamic environment with driven, fun, and flexible individuals who thrive on challenge and responsibility. This is an opportunity to contribute to our culture and join a company that’s on the move.

We live the Poppulo values each day, as they are key to everything we do.

• Bring Your Best Self
  We show up authentically, are self-aware and always strive to be better.
• See it. Own it. Solve it.
  We proactively innovate and solve for our customers and each other. We set an example with high standards for our work. We foster a culture of learning, acknowledging our successes and our failures.
• Together We’re Better
  We value and celebrate our diversity. We learn from others, respecting their expertise, and focus on building trust. That's what makes us a team.

Named a Great Place to Work in 2015, 2016, 2017, 2018, 2019, 2020, and 2021, we are a fast-growing global technology company, with offices in Ireland, the US, the UK and India.

Poppulo is an equal opportunity employer.

We are committed to protecting your privacy. For details on how we collect, use, and protect your personal information, please refer to our Job Applicant Privacy Policy.

Introduction:

Are you searching for an opportunity to play a key role in driving the dramatic growth of a highly successful software company? 

At Poppulo, we’re working on what’s next in communications and workplace technology. As a pioneer in this industry, we understand that meaningfully reaching every employee is hard. And so is managing office space in a hybrid world. And so is improving the customer and guest experience. We exist to make each of these things easier. We exist to bring harmony to our customers. 

And we do that at enterprise scale. Our omnichannel employee communications, customer communications, and workplace experience platform is trusted by over 6,000 organizations today, reaching more than 35M employees and delivering content to 500,000+ digital signs.

We know there’s no such thing as a “perfect" candidate - we’re all a work in progress and are growing new skills and capabilities all the time. We encourage you to apply for a position with Poppulo even if you don’t meet 100% of the requirements. We believe in fostering an environment where there is a diversity of perspectives, in hopes that we can all thrive. 

The Opportunity

We are looking for a Sr. Machine Learning (ML) Engineer with a strong sense of ownership. If you are an ML practitioner who thrives in an environment where innovation meets practical application to build disruptive products, this role is for you. 

At Poppulo, we intend to redefine boundaries and reshape Employee Communications and Digital Signage through the power of cutting-edge machine learning and AI. We are not just building products; we are disrupting the status-quo with transformative solutions that challenge conventional thinking, create competitive edge and create new market opportunities. 

This role is pivotal to the success of our AI team. It is the backbone of our ML initiatives. This role bridges the gap between research and production by leveraging cutting-edge AI technology into leading, world-class solutions.  

As a Sr. Full-Stack Machine Learning (ML) Engineer, you be the key driver for innovative problem solving by combining technical excellence with creative application of ML. Your expertise will be crucial in uncovering hidden opportunities within product ideas, including the design and deployment of agentic AI systems that can reason, plan, and act autonomously within real-world product constraints. Additionally, you will stay at the forefront of emerging technologies, continuously evaluating new AI/ML frameworks, tools, and best practices to help guide the evolution of our software solutions. 

Key Responsibilities

• Own end-to-end delivery of AI features across model, backend, APIs, UI integration, deployment, monitoring, and iteration in production
• Solve complex challenges with AI/ML: Design, develop new AI-powered products that deliver the product roadmap, including agentic AI solutions that orchestrate LLMs, tools, and workflows to solve multi-step problems autonomously.
• Implement ML lifecycle - from data engineering and model development to cloud-based deployment, integrations and operationalisation. Incl. MLOps 
• Productionise full-stack AI/ML solutions: Translate emerging techs like GenAI& agenticAI architectures into innovative, practical solutions that transform customer experiences. 
• Align with Product Strategy: Create proof of concepts at high cadence to demonstrate/validate potential solutions as per our product strategy. 
• Optimise Model and system performance: Fine-tune, optimise training and inference performances, including latency, cost, and reliability trade-offs in agent-based and LLM-driven systems.
• Wider collaboration: Partner with cross-functional teams to demonstrate and validate the impact of ML innovations before introducing them into the product ecosystem. 
• Research Savvy: Staying up-to-date with SOTA and industry trends in AI/ML, with a strong awareness of advances in agentic systems, autonomous workflows, and multi-agent architectures. 

Technical Skills / Competencies  

• Strong AI/ML background: Expertise in designing, building and deploying real-world ML applications (Computer Vision, Classification, etc.) 
• Strong foundation in GenAI: Deep understanding of generative models (LLMs, etc.), AI Agents, prompt engineering RAG, vector databases. 
• Technical Expertise: Proficiency in ML/GenAI frameworks, databases, shell scripts and programming languages, including frameworks and tools commonly used for building and orchestrating AI agents.
• MLOps expertise: Hands-on experience in setting up MLOps on AWS, Azure and GCP. 
• Full-stack expertise: Proficiency in data pipelines, distributed systems, APIs, web front-end, mobile apps, automated testing and cloud platforms (AWS, GCP, etc.). 
• Exceptional problem-solving skills: Ability to simplify and breakdown complex technical and business challenges to create innovative and practical solutions. 
• Team management: Experience in guiding teams to deliver high-impact solutions. 
• Continuous learning: Ability to learn quickly and apply new technologies to solve problems practically. 

Education & Experience

• Master’s or PhD in AI/ML or a related field
• At least 6+ years of experience building software or AI systems, including 1–3 years working with LLMs, generative AI, or AI agent architectures.

Why Us? 

• An excellent workplace culture 
• Competitive salary 
• Company performance-related bonus
• Medical insurance 
• Flexible working hours 
• Educational assistance 
• In-house soft skills training 

Who We Are

We are a values-driven organization that encourages our employees to bring their authentic selves to work every day and empowers everyone to make a tangible impact on our products, clients, and culture. We offer a dynamic environment with driven, fun, and flexible individuals who thrive on challenge and responsibility. This is an opportunity to contribute to our culture and join a company that’s on the move.

We live the Poppulo values each day, as they are key to everything we do.

• Bring Your Best Self
  We show up authentically, are self-aware and always strive to be better.
• See it. Own it. Solve it.
  We proactively innovate and solve for our customers and each other. We set an example with high standards for our work. We foster a culture of learning, acknowledging our successes and our failures.
• Together We’re Better
  We value and celebrate our diversity. We learn from others, respecting their expertise, and focus on building trust. That's what makes us a team.

Named a Great Place to Work in 2015, 2016, 2017, 2018, 2019, 2020, and 2021, we are a fast-growing global technology company, with offices in Ireland, the US, the UK and India.

Poppulo is an equal opportunity employer.

We are committed to protecting your privacy. For details on how we collect, use, and protect your personal information, please refer to our Job Applicant Privacy Policy.

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

About Us:

Sauce Labs is the leading provider of continuous test and error reporting solutions that give companies the confidence to develop, deliver and update high quality software at speed.  The Sauce Labs Continuous Testing Cloud identifies quality signals in development and production, accelerating the ability to release and update web and mobile applications that look, function and perform exactly as they should on every browser, operating system and device, every single time.  Sauce Labs is a privately held company funded by TPG and Riverwood Capital.

The Role:

The Mobile Device Infrastructure team is one of the most important core teams in our real device infrastructure product line. It doesn’t only maintain our real device fleet in a healthy state which is essential to our customers, but it also offers services and abstractions used by other teams to interface with the mobile devices fleet in order to elevate the customer experience with added value such as advanced insights and troubleshooting capabilities. Both are embodied in complex and challenging problems that require strong backend skills and a deep understanding of mobile device systems.

As a member of a constantly evolving team, your responsibilities will frequently adapt and grow. However, we ensure consistent context and scope throughout a project's lifecycle. This fosters a work environment that is both focused and enjoyable, offering numerous learning opportunities.

As a Software Engineer you will:

• Contribute to the development and maintenance of mobile agents, backend services, and frontend tools.
• Collaborate on the integration of mobile apps and frameworks into our core infrastructure.
• Interface with mobile OS APIs and protocols (USB/Network) to manage real device connectivity.
• Execute technical tasks that adapt mobile device behavior for lease-based environments.
• Participate in the full development lifecycle, from code implementation to automated testing.

Responsibilities:

• Triage and resolve device-specific issues to maintain high fleet availability.
• Implement optimizations in device allocation and cleanup workflows to improve performance.
• Support system health by participating in code reviews and contributing to design discussions.
• Monitor and report on metrics to help the team make data-driven improvements.
• Ensure operational excellence by managing your own code within CI/CD pipelines and following established best practices.
• Deliver high-quality code that is well-tested and maintainable.

Required Skills:

• Proficiency in Java or Kotlin (Golang experience is a plus).
• Strong debugging skills and a logical approach to problem-solving.
• Familiarity with Linux/Unix environments.
• Foundational knowledge of mobile app development (Android or iOS).
• Effective communication and the ability to work in a collaborative team setting.

Nice to Have:

• Understanding of Android internals (AOSP, adb, or MDM).
• Exposure to Objective-C or Swift.
• Basic experience with Docker or Kubernetes.
• Awareness of infrastructure-as-code concepts (Terraform, Ansible).

This position is required to be in the office 5 days a week.

Please note our privacy terms when applying for a job at Sauce Labs.

Sauce Labs is proud to be an Equal Opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity/expression/status, sexual orientation, age, marital status, veteran status or disability status.

Security responsibilities at Sauce

At Sauce, we will commit to supporting the health and safety of employees and properties, partnering with internal stakeholders to learn and act on ever-evolving security protocols and procedures. You’ll be expected to fully comply with all policies and procedures related to security at the department and org wide level and exercise a ‘security first’ approach to how we design, build & run our products and services.

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

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+