Deep Learning Jobs in Bengaluru.
All active Deep Learning roles based in Bengaluru.
Pick a job to read the details
Tap any role on the left — its description and apply link will open here.
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
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
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
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
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
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).
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
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.
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
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
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
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)
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
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.
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
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
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
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
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Senior Software Engineer - Kubernetes & ServiceMesh
Share this job
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
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).
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
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.
Ready to apply?
Apply to Poppulo
Lead /Sr Lead -Technical Writer
Experience: 13-15+ years
Location: Bangalore
Who we are and What we do?
AppViewX is trusted by the world’s leading organizations to reduce risk, ensure compliance, and increase visibility through automated certificate lifecycle management. At AppViewX, you will get to work with our AVX ONE platform that provides complete certificate lifecycle management and PKI-as-a-Service using streamlined automation workflows to prevent outages, reduce security incidents, and enable crypto-agility. AppViewX is also certified as a Great Place to Work in India, cementing us as an employer of choice.
About the Role:
We are seeking a Lead Technical Writer with leadership capabilities to manage documentation initiatives across product lines, drive process excellence, mentor writers, and collaborate closely with Product, Engineering, UX, and Release teams. The ideal candidate has deep experience in technical content development, hands-on expertise with documentation tools and automation platforms, and an ability to leverage AI-driven content acceleration to scale the documentation function.
This role requires someone who can balance hands-on writing, people management, and strategic enablement, ensuring documentation is accurate, consistent, discoverable, and aligned with product vision.
Key Responsibilities:
Leadership & Collaboration
- Lead a team of technical writers, providing guidance on writing standards, structure, and best practices.
- Own end-to-end documentation strategy across multiple product lines (SaaS, on-prem).
- Partner with Product Managers, UX Designers, Engineering Leads, and Release Managers to ensure timely, high-quality documentation.
- Define documentation processes, review templates, style guides, and standards for consistency.
- Support cross-functional initiatives such as onboarding experience, knowledge base development, and customer-facing documentation content.
Documentation & Technical Writing
- Create, review, and maintain high-quality technical content including product guides, Release Notes, KB articles etc
- Translate complex technical concepts (Networking, Cloud, Security, DevOps, Automation, etc.) into clear, simple, audience-appropriate documentation.
- Ensure content accuracy, readability, and alignment with product behavior and branding standards.
- Build and maintain client aids that go beyond traditional documentation, such as online videos, demos, guided tours, and other educational techniques.
- Passion for continuous learning, AI enablement, and modern documentation practices.
- Identify problem areas or structural deficiencies and proactively contribute to their improvement.
AI-Driven Documentation & Automation
- Use GenAI tools (ChatGPT, GitHub Copilot, Writer, etc.) to accelerate drafting, content summarization, quality checks, and content reuse.
- Implement AI-assisted documentation workflows (content repurposing, translation, metadata tagging).
- Contribute to structured content frameworks and knowledge models to enable future AI-driven documentation.
- Evaluate documentation automation tools and propose improvements for scale, accuracy and consistency.
Tools & Technologies:
Required:
- Documentation tools: MadCap Flare, Confluence, DITA/XML systems, Oxygen XML Editor
- Product documentation platforms: Git/GitLab/GitHub, CMS, Static site generators
- Diagramming tools: Visio, Lucidchart, Draw.io, Figma
- API documentation tools: Swagger / OpenAPI / Postman
- Content quality & proofreading tools
- AI tools for writing, content generation, and documentation automation
- Exposure to CI/CD pipelines
- Knowledge of HTML, XML, CSS, or scripting
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, Communications, or related fields.
- 10–15+ years of experience in technical writing, with 3–5 years in a lead/managerial capacity.
- Strong understanding of software development lifecycle and agile methodologies.
- Strong written communication, editing, and information architecture skills.
- Ability to manage multiple projects, prioritize effectively, and deliver under tight timelines.
Why AppViewX?
AppViewX caters to a wide range of customers from Fortune 1000 companies, including six of the top ten global commercial banks, five of the top ten global media companies, and five of the top ten managed healthcare providers. Over the years, we grew our diverse team, perfected our automation platform, and expanded our global footprint to India, North America, the United Kingdom, and Australia. Today, we are headquartered in New York City and have come a long way by optimizing opportunities to create lasting relationships with enterprises, gaining unshakable customer trust along the way.
AppViewX is proud to be an Equal Employment Opportunity Employer. It is AppViewX’s policy to afford equal employment opportunities to all employees regardless of race, color, national origin, ancestry, religion, citizenship status, gender, gender expression or identity, sexual orientation, age, marital status, military or veteran status, pregnancy, disability, genetic information, arrest record, or other protected class under state, federal, or local law.
Ready to apply?
Apply to AppViewX
Platform Manager QE – SaaS Platform
Location: Coimbatore / Bangalore
Experience: 10 to 14 Years
Who we are and What we do?
AppViewX is trusted by the world’s leading global organizations to reduce risk, ensure compliance, and increase visibility through machine identity management and application infrastructure security and orchestration. At AppViewX, you will get to work with our bleeding edge Automation Platform that facilitates digital transformation through streamlined workflows to prevent outages, reduce security incidents and protect both an enterprise’s reputation and bottom line. AppViewX has also been certified as a Great Place to Work in India, cementing us as an employer of choice.
Glimpse of our Team
The core of AppViewX quality lies in building predictable releases through strong engineering discipline, automation-first practices, and measurable quality outcomes. Our Platform Quality Engineering team partners closely with Platform Engineering, SRE, and Product Engineering to ensure platform reliability, scalability, and resilience under real-world workloads.
As a Platform Manager QE, you will focus on validating how the platform behaves at scale, ensuring multi-tenant SaaS stability, upgrade safety, and non-functional excellence as the platform evolves.
What will you be responsible for?
- Own end-to-end platform quality outcomes, ensuring reliability, scalability, and stability across SaaS and customer-hosted deployments
- Define and execute a platform quality strategy aligned to SaaS scale, multi-tenancy, and infrastructure evolution
- Drive non-functional quality leadership, including:
• Performance (P95/P99 latency, throughput)
• Scalability (load, stress, capacity limits)
• Reliability (failover, recovery, resilience)
• Chaos testing (node, network, dependency failures) - Validate platform behavior across:
• Kubernetes-based deployments
• Service mesh (Istio) and API gateway
• Core platform services (auth, async jobs, notifications, logging) - Ensure tenant isolation and noisy-neighbor impact validation in multi-tenant SaaS environments
- Own platform upgrade and deployment quality, including:
• Backward compatibility
• Data migration integrity
• Configuration drift across environments - Establish and govern continuous testing and QAOps practices for platform validation, including:
• Production-like environments
• CI/CD quality gates
• Observability-driven validation (logs, metrics, traces) - Drive platform-level automation strategy across API, performance, and resilience testing
- Provide platform readiness inputs to release certification, ensuring production-safe releases
- Analyze production incidents, performance degradations, and instability patterns, and drive preventive quality improvements
- Track and publish platform quality metrics (latency, stability, failure rates, incident trends) to guide engineering and leadership decisions
- Partner with Platform Engineering, SRE, and Product teams to identify and resolve systemic platform issues without impacting delivery velocity
- Lead, mentor, and grow a team of QE engineers focused on distributed systems, performance engineering, and reliability validation
- Influence architecture and design decisions to improve testability, scalability, and resilience outcomes
- Drive AI-assisted QE initiatives for performance analysis, anomaly detection, and intelligent regression optimization
What do we require? (Must Have)
- 10–14 years of experience in Quality Engineering with strong exposure to SaaS platforms and distributed systems
- Proven experience in non-functional testing:
performance, scalability, reliability, chaos engineering - Strong expertise in API and service-level automation (Python-based frameworks preferred)
- Hands-on experience with performance testing tools (JMeter, k6, Gatling, or similar)
- Experience with Kubernetes, containerized environments, and service mesh (Istio)
- Strong understanding of multi-tenant SaaS architectures and platform behavior under load
- Experience integrating quality practices into CI/CD pipelines and QA Ops workflows
- Strong debugging and root-cause analysis skills for production-scale issues
- Experience working with observability tools (Prometheus, Grafana, ELK, tracing systems)
- Strong Linux systems knowledge and environment troubleshooting skills
- Understanding of networking, security, and infrastructure concepts (TLS, DNS, load balancing)
- Strong stakeholder communication and ability to translate platform quality risks into business impact
What do we desire?
- Experience in cloud platforms (AWS / Azure / GCP) and hyperscaler environments
- Exposure to chaos engineering frameworks and reliability validation tools
- Experience with contract testing and service-level validation strategies
- Familiarity with AI-driven test optimization, anomaly detection, or quality intelligence
- Strong understanding of high-availability systems and distributed system failure modes
What You Bring as a Platform QE Manager at AppViewX
- You think in systems, scale, and failure modes, not just test cases
- You ensure platform reliability under real workloads, not just functional correctness
- You drive non-functional quality as a release gate, not a post-release activity
- You build predictable platform behavior through automation, observability, and continuous validation
- You translate technical platform risks into customer and business impact
- You mentor teams to move from test execution to engineering-driven quality ownership
- You operate with strong ownership, data-driven decisions, and disciplined escalation
What brings us together?
What makes us stand out from the rest is the people. The people who push hard every day to be smarter, passionate, resilient, creative, inclusive and curious. Surrounding ourselves with a bunch of diverse and talented minds has made us what we are, and we can't wait to see the positive impact it would have on you too!
What’s more in store?
AppViewX offers competitive benefits including incentives, health & wellness policies, investment schemes, flexible work models, and strong learning & development opportunities. We empower our employees with flexibility, ownership, and trust to drive impact.
Why AppViewX?
AppViewX serves Fortune 1000 enterprises globally, including leading banks, media companies, and healthcare providers. With a strong global presence and deep customer trust, we continue to scale our platform and engineering capabilities to solve critical enterprise challenges.
Equal Opportunity Statement
AppViewX is an Equal Employment Opportunity Employer committed to diversity, inclusion, and fair employment practices.
Ready to apply?
Apply to AppViewX
Senior Solution Support Engineer – Technical Assistance Centre
Location: Coimbatore
Experience: 3+ Years
Who we are and What we do?
AppViewX is the pioneer and leader in certificate and key lifecycle automation, infrastructure orchestration, and IoT and DevOps security solutions. AppViewX automates NetOps, SecOps, and DevOps for six of the top ten global commercial banks, five of the top ten global media companies, and five of the top ten managed healthcare providers. And, we’re only getting started. AppViewX is headquartered in New York, U.S. with additional offices in U.K., Australia and three development centers of excellence in India.
What will you be responsible for?
We, at AppViewX, are seeking a skilled, determined Solution Support Engineer with a collaborative spirit. You will handle and gracefully address customer inquiries, concerns and suggestions. You will optimize your platform to enhance smooth operations and experiences.
- You will design and implement AppViewX Platform to Solve the toughest automation problems the customer is trying to solve
- You will be the final point of escalation for the customer.
- You will use your deep technical experience and critical thinking skills to solve issues or provide a workaround for the customer and create a follow on ticket if required
- You will capture and create new content - L2 Engineers are responsible for creating and improving content for the benefit of all support. Your influence and expertise will be felt throughout the organization as you solve the same (Documentation)
- You will migrate the customer to the latest code of AppViewX and make this migration very smooth
- You will make sound judgments when dealing with issues that arise during troubleshooting and have the skills to determine the appropriate action to be taken for a given situation; and are able to prioritize instantly to prevent missed deadlines
- You will act on the ability to generate required reports from the system as well as read and utilize information, if deemed necessary
- You will provide feedback and suggestions to management for improved customer satisfaction, process improvements and system enhancements, if deemed necessary
- You are open to work in a 24*7 environment
What do we require?
- Excellent Business communication skills & soft skills to handle international customers effectively.
- Certified in Kubernetes, Networking & Systems Certifications such as RHCE, Linux+, Network+ or CCNA, any Security certifications are an added positive.
- You are a voracious learner and have the desire and ability to become a deep expert in hundreds of use cases across multiple products.
- You take charge and understand that all the expertise in the world is useless if you can’t own finding the solution and conveying the exact solution to the customer.
- You have hands-on experience in Linux and Windows Server operating systems.
- You have hands-on and understanding of Networking, Security, Certificate Management (PKI) platforms.
- You have excellent experience in management, deployments and hotfix patching of applications.
- You possess the ability to troubleshoot and decode problems based on previous experience.
- You possess the knowledge of Python or any scripting language as an advantage.
- You are passionate about learning new products/technologies continuously at a technical and troubleshooting level.
What brings us together?
What makes us stand out from the rest is the people. The people who push hard every day to be more smart, passionate, resilient, creative, inclusive and curious. Surrounding ourselves with a bunch of diverse and talented minds has made us what we are, and we can’t wait to see the positive impact it would have on you too!
What’s more in store?
AppViewX is on par with leading global companies when it comes to the benefits it offers its employees, ranging from competitive incentives, health & wellness policies, saving & investment schemes, time off/sabbatical eligibility and dedicated L&D.
What we consider equally important is the flexibility we offer our employees to – work remotely, define their own hours, and more importantly harmonize both work and life. The more trust and accountability we place on our employees, the more they surpass our goals and expectations.
Why AppViewX?
AppViewX caters to a wide range of customers from Fortune 1000 companies, including six of the top ten global commercial banks, five of the top ten global media companies, and five of the top ten managed healthcare providers. Over the years, we grew our diverse team, perfected our automation platform, and expanded our Global footprint to India, North America, United Kingdom and Australia. Today, we are headquartered in New York City and have come a long way by optimizing opportunities to create lasting relationships with enterprises, gaining unshakable customer trust along the way.
AppViewX is proud to be an Equal Employment Opportunity Employer. It is AppViewX’s policy to afford equal employment opportunities to all employees regardless of race, color, national origin, ancestry, religion, citizenship status, gender, gender expression or identity, sexual orientation, age, marital status, military or veteran status, pregnancy, disability, genetic information, arrest record, or other protected class under state, federal, or local law.All qualified applicants will be considered regardless of their color, religion, sex, sexual orientation, National origin, age, disability, gender identity, or veteran status. Attractive compensation (salary and bonus) with benefits including 401K program, medical, dental and vision benefits as well as employer-provided life insurance. Equal opportunity for the win.
Ready to apply?
Apply to AppViewX
Senior Staff Engineer - Reporting, Accounting, and Data Services
Share this job
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.
Ready to apply?
Apply to Stripe
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.
Ready to apply?
Apply to Stripe
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
Ready to apply?
Apply to Stripe
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.
Ready to apply?
Apply to Stripe
Disputes Operations Analyst II
Share this job
About Bluevine
Bluevine is the largest small business banking platform in the U.S., redefining how entrepreneurs manage their money. We create modern financial solutions, from checking and lending to payments and beyond, designed to help small business owners grow, thrive, and take control of their financial future. Our best-in-class technology, advanced security, and deep understanding of the small business community give our customers the confidence to focus on what they do best.
Since 2013, we’ve supported more than 750,000 small businesses nationwide. Backed by leading investors like Lightspeed Venture Partners, Menlo Ventures, 83North, and Citi Ventures, our 500+ person global team shares one mission: to give small businesses the financial tools they need to succeed.
We’re innovators driven by big ideas, collaboration, and real impact. Here, you’ll have the freedom to take ownership, grow your career, and make a difference for small business owners across America. Ready to shape what’s next?
This is a hybrid role. At Bluevine, we pride ourselves on our collaborative culture, which we believe is best maintained through in-person interactions and a vibrant office environment. All of our offices have reopened in accordance with local guidelines, and are following a hybrid model. In-office days will be determined by location and discipline.
ABOUT THE ROLE:
As the Disputes Operations Analyst II, you will be responsible for managing the end-to-end lifecycle of client dispute claims, including those related to debit cards, credit cards, and non-debit transactions. This role focuses on reviewing and validating claim data, filing disputes with external vendors, and ensuring each case is handled accurately and in accordance with regulatory and network requirements. You will play a key role in investigating transaction activity, assessing claim legitimacy, and taking appropriate action to mitigate financial and operational risk. Additionally, you will contribute to strengthening dispute processes, identifying trends, and supporting improvements that enhance efficiency, compliance, and the overall client experience.
WHAT YOU'LL DO:
- Manage the full dispute lifecycle, from initial claim intake to final resolution, for debit card, credit card, and non-debit related disputes.
- Accurately file dispute claims with third-party vendors and financial institutions.
- Conduct meticulous data review and analysis to validate the legitimacy of all submitted claims in accordance with Business Bank requirements.
- Lead comprehensive investigations into unauthorized transactions, focusing on identifying patterns of card fraud, account takeover (ATO) activity, and other emerging risk factors such as dispute abuse.
- Ensure all dispute processing activities adhere to applicable Network, NACHA, and Banking regulations (i.e. Reg E, Reg Z).
- Maintain clear, professional, and effective written communication when interacting with internal stakeholders, partner banks, and vendors to facilitate claim resolution.
- Collaborate cross-functionally with Risk, Fraud Operations, and Compliance teams to share insights and implement control improvements.
- Proactively identify opportunities for process improvement, take ownership of implementing changes, and contribute to the continuous strengthening of BlueVine's dispute resolution framework.
- Efficiently manage and prioritize a high-volume daily queue of claims while maintaining accuracy and adherence to strict service-level agreements (SLAs).
WHAT WE LOOK FOR:
- Bachelor’s degree in Finance, Accounting, Business Administration, or a related field
- 1+ years of experience in fraud operations, specifically in dispute resolution within a fintech or banking environment preferred.
- Demonstrated expertise and strong working knowledge of Network rules (Visa/Mastercard), NACHA rules, and U.S. Banking regulations (Reg E, Reg Z).
- Proven ability to perform complex root-cause analysis and problem-solving in a fast-paced environment.
- Exceptional written communication skills, with an emphasis on creating detailed and accurate documentation for internal records and external correspondence.
- Strong organizational skills and the ability to manage time effectively to meet deadlines.
- Applicants must be currently authorized to work in the United States on a full-time basis
Benefits & Perks
- Excellent group health coverage and life insurance
- Stock options
- Hybrid work model
- Meal allowance
- Transportation assistance (terms and conditions apply)
- Generous paid time off plan, Holidays
- Company-sponsored mental health benefits
- Financial advisory services for both short- and long-term goals
- Learning and development opportunities to support career growth
- Community-based volunteering opportunities
Ready to apply?
Apply to Bluevine - India
HFT Quantitative Research and Trading
Share this job
DeepFin is a systematic proprietary trading firm combining deep learning, traditional quantitative research methods, and cutting-edge trading technology, to trade global markets. Founded by engineers and researchers, we build and deploy advanced trading systems that operate across global markets.
Our team is lean, highly technical, and impact-driven - every hire plays a direct role in shaping the firm’s technology, strategy, and performance. We value curiosity, precision, and collaboration, and we’re building an environment where exceptional people can do their best work at the intersection of AI and financial markets.
HFT Quantitative Research and Trading
The Role
We are looking for exceptional HFT Quantitative Researchers and Traders to work at the intersection of research, engineering, low-latency execution, creating alpha and monetising our deep-learning alpha alpha across a broad spectrum of markets, products, and asset classes.
Key Responsibilities
- Monetise core alpha through efficient execution strategies across futures and related products.
- Expand trading universes - identify and onboard new instruments within existing markets and work closely with BD to identify new opportunities and exchanges.
- Develop and refine execution logic - optimise market access, routing, and order placement to minimise slippage and latency impact.
- Collaborate closely with researchers, developers, and infrastructure engineers to bring models from research to production.
- Design and test short-term signals and execution algorithms to preserve alpha and reduce transaction costs.
- Monitor live strategies, diagnose performance drift, and implement continual improvements.
- Conduct PnL attribution and microstructure analysis to measure and enhance monetisation efficiency.
- Stay ahead of exchange microstructure changes and proactively adapt strategies to evolving market dynamics and market impact dynamics.
Ideal Candidate Profile
- 5+ years of experience in HFT or ultra-low-latency trading, ideally within futures markets (options experience is a strong plus).
- Proven track record in execution alpha monetisation - not just signal generation - you’ve taken models from idea to production.
- Deep understanding of L3 data, market microstructure, order book dynamics, and short-horizon predictive models.
- Hands-on experience in strategy deployment and productionisation, including calibration, risk controls, and post-trade analytics.
- Strong quantitative and programming skills - Python and C++ preferred; familiarity with distributed and low-latency systems advantageous.
- Knowledge of cross-exchange arbitrage, market making, or execution cost optimisation a plus.
- Highly analytical, commercial mindset with the ability to operate autonomously in a fast-paced, research-driven environment
If you’re passionate about applying advanced technology to real-world markets and want to work alongside a focused, high-performing team, we’d love to hear from you. DeepFin offers a collaborative, research-driven environment where ideas move quickly from concept to execution and where every contribution has visible impact.
Join us in building the next generation of deep-learning-driven trading systems - shaping the future of finance through innovation, rigour, and technology.
Ready to apply?
Apply to DeepFin Research
Head of Machine Learning
Share this job
At Prodigal, we are building AI Agents for loan servicing and collections. Founded in 2018 by IITB alumni, our journey began with one bold mission: to eradicate the inefficiencies and confusion that have plagued the lending and collections industry for decades. We are backed by Y Combinator, Accel and Menlo Ventures.
Today, we stand at the forefront of a seismic shift in the industry, building Agentic AI applications for consumer finance. Powered by our cutting-edge platform, Prodigal’s Intelligence Engine (PIE), we’re creating the next-generation agentic workforce - one that empowers companies to achieve unprecedented levels of operational excellence and intelligence.
With over half a billion consumer finance interactions processed and a growing impact on more than 100 leading companies across North America, we’ve established ourselves as the go-to partner for organizations that demand more from their AI solutions. Our unparalleled experience, coupled with our trusted customer relationships, uniquely positions us to build Agentic AI applications that will revolutionize the future of consumer finance.
At Prodigal, we are driven by a singular, unrelenting purpose: to transform how consumer finance companies engage with their customers and, in turn, drive successful outcomes for all.
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
From day 1, Prodigal has been defined by talented, humble, and hungry leaders and we want this mindset and culture to continue to blossom from top to bottom in the company. If you have an entrepreneurial spirit and want to work in a fast-paced, intellectually-stimulating environment where you will be pushed to grow, then please reach out because we are looking to build a transformational company that reinvents one of the biggest industries in the US.
To learn more about us - please visit the following:
Our Story - https://www.prodigaltech.com/our-story
What shapes our thinking - https://link.prodigaltech.com/our-thesis
Ready to apply?
Apply to Prodigal
Senior Software Engineer
Share this job
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.businesswire.com/news/home/20240904622808/en/Zeta-Increases-3Q%E2%80%9924-Guidance
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.
Ready to apply?
Apply to Zeta GlobalSenior Data Engineer
Share this job
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!
Ready to apply?
Apply to Zeta GlobalStaff Backend Engineer
Share this job
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!
Ready to apply?
Apply to Zeta GlobalStaff Backend Engineer
Share this job
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!
Ready to apply?
Apply to Zeta GlobalSr AI/ML Engineer
Share this job
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!
Ready to apply?
Apply to Zeta GlobalSecure 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.
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
The Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.
Ready to apply?
Apply to Okta
Staff Software Engineer - AI Traffic & Inference Infrastructure
Share this job
Please complete the attached Internal Transfer Request Form and submit.
Please make sure to apply with your Coupang e-mail address.
Company Introduction
We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.
We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.
Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.
Role Overview
As a Staff Engineer on our Coupang intelligent Cloud Infrastructure team, you will design and scale the intelligent nervous system of our CIC Cloud AI platform. You won't just be moving packets; you’ll be building the orchestration and routing layers that ensure our LLMs and foundation models are highly available, low-latency, and cost-efficient. You will own the end-to-end lifecycle of traffic management from global load balancing to hardware-aware request routing across thousands of accelerators.
What You Will Do
-
Intelligent Routing: Design and implement sophisticated load-balancing algorithms tailored for AI workloads (training, inference), optimizing request distribution based on model availability, and accelerator health.
-
Inference Orchestration: Architect and evolve our inference infrastructure to support seamless model deployment, auto-scaling, and multi-AZ failover.
-
Performance Engineering: Drive initiatives to minimize tail latency (P95 /P99) and maximize throughput using advanced batching, caching, and streaming token delivery techniques.
-
Fleet Automation: Build robust infrastructure-as-code and CI/CD pipelines to manage dynamic compute fleets, ensuring they automatically scale to meet production and research demands.
-
Observability & Optimization: Leverage deep telemetry data to tune system performance and hardware-agnostic scheduling across diverse GPU/TPU environments.
-
Technical Leadership: Lead cross-functional initiatives across infrastructure and SW team, ML teams, providing mentorship and setting up the long-term technical roadmap for traffic management.
Basic Qualifications
- Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
-
Experience: 8–12 years of progressive software engineering experience, with a heavy emphasis on distributed systems, cloud-native architectures, or platform operations.
-
Programming: Strong proficiency in Go or Python, with a deep understanding of networked systems and performance optimization.
-
Orchestration: Expert-level knowledge of Kubernetes internals (scheduling, controllers) and containerization ecosystems.
-
Traffic Management: Proven experience with load balancing, service mesh, and request routing at scale.
-
Operational Excellence: A strong "ownership" mindset with a track record of maintaining mission-critical, high-availability systems in production.
Preferred Qualifications
-
AI/ML Domain Knowledge: Prior experience building infrastructure specifically for LLM inference or large-scale training clusters.
-
Low-Level Optimization: Familiarity with inference, including mixed precision, kernel tuning, or custom hardware accelerators.
-
Public/Private Cloud: Experience managing hybrid-cloud or multi-AZ deployments across AWS, Azure, or GCP.
-
Compliance: Experience operating in regulated environments with strict security and compliance requirements.
Type of work model
- Hybrid
Details to consider
- Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.
Privacy Notice
- Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://privacy.coupang.com/en/land/jobs/
Ready to apply?
Apply to Coupang Internal
Staff Software Engineer - AI Traffic & Inference Infrastructure
Share this job
Company Introduction
We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.
We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.
Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.
Role Overview
As a Staff Engineer on our Coupang intelligent Cloud Infrastructure team, you will design and scale the intelligent nervous system of our CIC Cloud AI platform. You won't just be moving packets; you’ll be building the orchestration and routing layers that ensure our LLMs and foundation models are highly available, low-latency, and cost-efficient. You will own the end-to-end lifecycle of traffic management from global load balancing to hardware-aware request routing across thousands of accelerators.
What You Will Do
-
Intelligent Routing: Design and implement sophisticated load-balancing algorithms tailored for AI workloads (training, inference), optimizing request distribution based on model availability, and accelerator health.
-
Inference Orchestration: Architect and evolve our inference infrastructure to support seamless model deployment, auto-scaling, and multi-AZ failover.
-
Performance Engineering: Drive initiatives to minimize tail latency (P95 /P99) and maximize throughput using advanced batching, caching, and streaming token delivery techniques.
-
Fleet Automation: Build robust infrastructure-as-code and CI/CD pipelines to manage dynamic compute fleets, ensuring they automatically scale to meet production and research demands.
-
Observability & Optimization: Leverage deep telemetry data to tune system performance and hardware-agnostic scheduling across diverse GPU/TPU environments.
-
Technical Leadership: Lead cross-functional initiatives across infrastructure and SW team, ML teams, providing mentorship and setting up the long-term technical roadmap for traffic management.
Basic Qualifications
- Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
-
Experience: 8–12 years of progressive software engineering experience, with a heavy emphasis on distributed systems, cloud-native architectures, or platform operations.
-
Programming: Strong proficiency in Go or Python, with a deep understanding of networked systems and performance optimization.
-
Orchestration: Expert-level knowledge of Kubernetes internals (scheduling, controllers) and containerization ecosystems.
-
Traffic Management: Proven experience with load balancing, service mesh, and request routing at scale.
-
Operational Excellence: A strong "ownership" mindset with a track record of maintaining mission-critical, high-availability systems in production.
Preferred Qualifications
-
AI/ML Domain Knowledge: Prior experience building infrastructure specifically for LLM inference or large-scale training clusters.
-
Low-Level Optimization: Familiarity with inference, including mixed precision, kernel tuning, or custom hardware accelerators.
-
Public/Private Cloud: Experience managing hybrid-cloud or multi-AZ deployments across AWS, Azure, or GCP.
-
Compliance: Experience operating in regulated environments with strict security and compliance requirements.
Type of work model
- Hybrid
Details to consider
- Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.
Privacy Notice
- Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://privacy.coupang.com/en/land/jobs/
Ready to apply?
Apply to Coupang
Machine Learning Engineer, Integrity
Share this job
HackerRank helps companies like NVIDIA, Amazon, and Microsoft hire and upskill the next generation of developers based on skills, not pedigree. Our platform is trusted by over 2,500 of the world’s most innovative companies to build strong engineering teams ready for what’s next.
Software has entered an era where humans and AI build side by side. As this shift accelerates, the definition of strong technical talent is changing. We give companies better ways to identify and invest in next-generation skills.
People at HackerRank care deeply about the impact of their work and sweat the small details so our customers can be wildly successful with products they genuinely love to use. We move with urgency and believe great outcomes come from high standards
About the role
Hiring is one of the most consequential decisions a company makes. 3,000+ enterprises rely on HackerRank to get it right. We are now reinventing how that works for the agentic era. The integrity of that system is not a feature. It is the foundation.
Open Problem
The fraud gets smarter every quarter. The models have to keep up.
Integrity isn't about whether you use AI or not; it's about whether you are following the rules. Our integrity system is a portfolio of signals spanning vision, code analysis, browser telemetry, and behavioral sequences. Each signal is independently trained, operates on a different modality, and has its own precision-recall tradeoff and failure distribution. That heterogeneity is not a design choice we made lightly. It reflects the fact that no single modality is sufficient, and that the most informative signal depends heavily on context. A model at 92% precision on today's proxy attempt patterns can sit at 74% within two quarters, not because the model degraded, but because the attack surface shifted and the training distribution did not.
The fusion problem is where current approaches hit a ceiling. Naive aggregation across signals does not work because the signals are not independent and their reliability varies with context. What is needed is calibrated uncertainty at the signal level, a principled way to weight evidence depending on conditions, and the ability to detect when a signal has drifted out of its reliable operating range. The field has good solutions for static multimodal fusion. It does not have good solutions for adversarially non-stationary multimodal fusion where the ground truth labels are expensive, delayed, and partially unobservable.
Latency adds a constraint that rules out many otherwise viable architectures. Inference runs during a live assessment, which bounds what is deployable regardless of accuracy. That means the model quality problem and the systems problem have to be solved together, not sequentially. And the system has to generalize across populations and environments it was not trained on, without encoding the kinds of demographic biases that make a technically accurate classifier practically indefensible.
The honest summary: the current generation of integrity tooling, ours and the market's, has a precision ceiling that the next wave of fraud techniques will break through. Raising that ceiling requires building past what exists, not fine-tuning it.
What you'll do
- Standardize how model quality is defined, measured, and reported across all integrity signals. Build the evaluation infrastructure, golden datasets, and benchmarking pipelines that give us and our customers genuine confidence in what we ship
- Own the performance improvement strategy for each signal. Explore newer architectures, emerging research, and different training paradigms. The approach will not be one-size-fits-all; it will be grounded in each signal's maturity, data quality, and what the science actually supports
- Define the ML strategy for new signals from scratch: audio analysis, gaze tracking, behavioral anomalies. Set the architecture, data requirements, and a clear bar for what production-ready looks like before anything ships
- Continuously monitor how assessment fraud tooling is evolving. Evaluate new models as they emerge. Know when to abandon a strategy that is no longer moving the needle
- Systematically surface edge cases, build training data around them, and turn every customer-reported failure into a model that is harder to fool
- Drive strategy-level decisions: which new signals to build, whether to use models at all, and what the evidence says
Who you are
- You have shipped ML systems in production that real users and real businesses depend on
- You have deep intuition for where precision leaks happen and how to find them systematically, not by luck
- You think in systems. A signal's accuracy number, its data pipeline, its serving infrastructure, and its customer-facing outcome are one problem to you
- You care as much about evaluation methodology as model performance. You know that a metric measured wrong is worse than no metric
- You are genuinely curious about adversarial dynamics. The fact that your model will be attacked is interesting to you, not exhausting
Even better if you have
- Experience with multimodal systems in production: vision, audio, or behavioral signal pipelines
- Background in adversarial ML or fraud/anomaly detection
- Publications or open-source work in detection, robustness, or model evaluation
- Prior experience defining what production-ready means for a new signal category from scratch
You will thrive in this role if
- You find the performance improvement problem as interesting as the model problem.
- You are energized by adversarial environments where the threat landscape shifts under your feet and the only valid response is to stay ahead of it.
- You do not inherit clean problems and optimize within them.
- You define what the problem even is, and you hold yourself to a higher bar than the one the market has set.
Want to learn more about HackerRank? Check out HackerRank.com to explore our products, solutions and resources, and dive into our story and mission here.
HackerRank is a proud equal employment opportunity and affirmative action employer. We provide equal opportunity to everyone for employment based on individual performance and qualification. We never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
Linkedin | X | Blog | Instagram | Life@HackerRank
Notice to prospective HackerRank job applicants:
- Our Recruiters use @hackerrank.com email addresses.
- We never ask for payment or credit check information to apply, interview, or work here.
Ready to apply?
Apply to HackerRank CareersAbout Karya:
Why was Karya on the cover of the Time Magazine , highlighted by Satya Nadella , and invited to present its work to Sundar Pichai one on one?
In part, because Karya is on a mission to provide AI enabled earning and learning opportunities to communities with high talent, but low access to opportunities. Karya achieves this while also delivering high quality, timely, and price competitive data to its clients.
Karya builds high quality datasets for large companies like Google and Microsoft, while providing ethical work opportunities and fair wages to its workforce.
Karya’s workers make nearly 20 times the Indian minimum wage and through our one-of-a-kind digital work platform, we have delivered over 40 million digital tasks and have positively impacted over 100 thousand workers. In the coming years, our goal is to rapidly scale our impact by bringing economic opportunities to millions of underserved users in India. With a rapidly growing global presence, we are also looking to expand our client base in the Indian market by partnering with leading Indian enterprises.
About the Role:
We are looking for a Lead Product Designer to shape how technology creates meaningful, dignified opportunities for low-income and historically excluded communities. At Karya, design is about reimagining who technology is built for, and who gets to participate in the AI economy. You will lead the design of products that work in low-resource environments, across languages, and for users with diverse levels of digital access and literacy.
This is a leadership role combining hands-on design, team building, and deep collaboration across product, technology, and field operations.
Why This Role Matters
At Karya, we are building systems where communities are not just users, but contributors to the technologies shaping the future.
Design plays a critical role in ensuring that these systems are accessible, inclusive, and truly representative.
What You Will Do
Design for Inclusion & Real-World Contexts
- Design experiences that work in low-bandwidth, low-literacy, and multilingual environments
- Build products that reflect the realities of low-income and underserved communities, not idealized users
- Champion localization beyond translation - including cultural, linguistic, and contextual relevance
- Simplify complex systems into intuitive flows that are accessible to first-time or intermittent digital users
Lead & Grow the Design Function
- Set clear goals, priorities, and design direction aligned with product and impact outcomes
- Manage and mentor a team of designers across UI, UX, and research
- Create a culture of craft excellence, critical thinking, and continuous learning
- Establish scalable design systems and processes
Drive End-to-End Product Design
- Own the design of mobile-first and web-based products from concept to execution
- Create flows and prototypes grounded in strong UX principles
- Balance speed and quality in a fast-moving, impact-driven environment
User Research & Field Learning
- Lead user research across diverse geographies and communities
- Conduct usability testing, field visits, and participatory design exercises and enable junior designers to do the same
- Translate insights into product decisions grounded in real user behavior
Cross-functional Collaboration
- Work closely with Product, Engineering, and Operations teams to ship impactful solutions
- Bridge the gap between product thinking and community realities
- Work closely with the Design Researcher to design user research studies
Experimentation & AI-driven Design
- Explore and integrate AI-assisted design workflows into product development
- Design for human-in-the-loop systems and AI-enabled platforms
- Continuously experiment with new approaches to improve accessibility, efficiency, and impact
What We’re Looking For
Experience & Skills
- 5-7 years of experience in product design, with experience leading designers
- Strong portfolio demonstrating work across mobile and web applications
- Deep understanding of UX principles, interaction design, and visual design
- Hands-on experience with user research and usability testing
- Proven ability to collaborate across disciplines
Mindset & Orientation
- Strong bias toward building for inclusion, not just scale
- Sensitivity to the needs of low-resource and underserved communities
- Curiosity about language, culture, and how people interact with technology in constrained contexts
- Comfort working in ambiguity and translating complex problems into simple, usable solutions
- Interest in AI, ethical data systems, and human-centered AI workflows
Nice to Have
- Experience designing for multilingual or regional-first products
- Exposure to low-bandwidth or offline-first design patterns
- Experience working with field teams, NGOs, or community-driven programs
- Familiarity with AI products or human-in-the-loop systems
What We Offer
-
Flexible leave and vacation policy
-
Remote / hybrid work options
-
Insurance as per industry standards
-
Access to leaders in technology and social impact
-
Meaningful work at the intersection of AI, design, and equity
Karya celebrates diversity and is an equal opportunity employer. All applicants will be considered without regard to race, religion, gender identity, sexual orientation, disability, or any other protected status.
Ready to apply?
Apply to Karya
Headquartered in Los Altos, CA. Backed by SAIGroup.
Learn more about JazzX AI:
Website: https://jazzx.ai
LinkedIn: https://www.linkedin.com/company/jazzx-ai
Learn more about SAIGroup:
Website: https://saigroup.ai
Role Overview
At JazzX, we are building a modern cloud-native platform ecosystem focused on scalability, reliability, automation, security, and developer self-service. We leverage Microsoft Azure, Cloudflare, AI/LLM-driven operations, and Agentic workflows to simplify infrastructure management, deployment automation, incident response, and platform operations across multiple environments and customer instances.
We are looking for a highly skilled Senior Platform Engineer who can design, build, automate, and operate large-scale cloud platforms while driving engineering excellence across infrastructure, networking, security, CI/CD, observability, and platform automation.
This role requires strong hands-on technical expertise, ownership mindset, system thinking, and the ability to collaborate across engineering, DevOps, security, and product teams.
Platform Engineering & Operational Excellence
- Design, build, and operate scalable, secure, and highly available cloud infrastructure on Microsoft Azure
- Build and manage platform services including networking, authentication, CI/CD, observability, deployment automation, and self-service systems
- Develop reusable Infrastructure as Code (IaC) frameworks using Terraform, GitOps, and modern automation practices
- Design secure network architectures including VNets, private networking, routing, WAF, API gateways, and Zero Trust principles
- Build automated deployment, environment provisioning, and multi-instance platform management workflows
- Improve platform reliability, operational stability, monitoring, alerting, logging, tracing, and incident response processes
- Drive operational automation, platform resilience, release governance, rollback strategies, and deployment reliability
- Build developer productivity tooling and self-service workflows for platform operations and environment management
- Contribute hands-on using Python, Go, or modern programming languages to build scalable systems, internal platforms, and automation frameworks
- Apply strong system design, distributed systems, troubleshooting, and problem-solving skills across cloud, network, deployment, and infrastructure layers
- Leverage AI/LLM-driven workflows, coding agents, and Agentic systems to improve operational efficiency, automation, incident management, and platform intelligence
- Drive cloud cost optimization, usage visibility, anomaly detection, and operational efficiency initiatives
- Strong understanding of SDLC, DevOps, Agile methodologies, release governance, production operations, and Site Reliability Engineering (SRE) practices
- Strong ownership mindset with focus on scalability, automation, reliability, operational excellence, and developer productivity
Collaboration & Leadership
- Partner with engineering, security, architecture, and product teams to define platform standards, operational processes, and long-term technical strategy
- Work closely with application teams to improve platform adoption, deployment reliability, and developer experience
- Collaborate with security teams to implement authentication, authorization, governance, compliance, and operational security standards
- Participate in architecture reviews, production readiness reviews, operational planning, and incident management discussions
- Mentor engineers and contribute to platform engineering best practices, technical standards, and documentation
- Drive technical discussions and contribute to platform modernization and intelligent automation initiatives
Experience
- 6+ years of experience in Platform Engineering, DevOps, SRE, or Cloud Infrastructure Engineering
- Hands-on experience managing production-scale Azure environments and enterprise-grade CI/CD systems
- Experience working with Kubernetes, cloud-native platforms, infrastructure automation, observability, and distributed systems
- Experience supporting multi-environment and multi-tenant platform operations at scale
- Experience with AI-assisted engineering workflows, operational tooling, or intelligent automation systems is a strong plus
- Strong communication, collaboration, and technical leadership capabilities
Technical Skills
Cloud & Infrastructure
- Microsoft Azure, Azure Networking, VNet, NSG, Load Balancer, Private Endpoints, Azure Kubernetes Service (AKS), Azure Container Apps, Azure API Management, Azure Entra ID, Azure Monitor and Log Analytics
Infra, DevOps, Automation and Building Platform
- Terraform,GitHub Actions / Azure DevOps, CI/CD Pipeline Design, Infrastructure as Code (IaC), GitOps, Python / Go any programming language
Networking & Security
- Cloudflare Gateway / WAF, API Security, Authentication & Authorization, SSO Integration (Okta, Entra ID), Network Security and Zero Trust concepts
Observability & Operations
- Monitoring and Alerting, Logging and Tracing, Incident Management, Root Cause Analysis, Reliability Engineering
AI & Platform Intelligence
- LLM-based operational workflows, Agentic automation systems, AI-assisted incident analysis and remediation, Intelligent anomaly detection and operational insights
Nice To Have
- Kubernetes ecosystem tools, Service Mesh, Vector databases, MCP/Agentic orchestration frameworks, FinOps and cloud cost optimization tools
Why Join Us
At JazzX AI, you have the opportunity to become an integral part of a pioneering team that is pushing the envelope of AI capabilities to create an autonomous intelligence driven future. We champion bold innovation, continuous learning, and embrace the challenges and rewards of crafting something genuinely groundbreaking.
Your work will directly contribute to pioneering solutions that have the potential to transform industries and redefine how we interact with technology. As an early member of our team, your voice will be pivotal in steering the direction of our projects and culture, offering a unique chance to leave your mark on the future of AI.
We offer a competitive salary, equity options, and an attractive benefits package, including health, dental, and vision insurance, flexible working arrangements, and more.
We are an equal opportunity employer and celebrate diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Why Join JazzX AI:
What draws people to JazzX AI is the opportunity to build something truly foundational.
We are at the beginning of a new era — one where enterprise systems will no longer be static tools, but dynamic collaborators that learn, reason, and evolve alongside the people who use them. At JazzX AI, you’ll help build a platform that redefines how work happens in the AGI era.
JazzX AI brings together vision, deep technology, and purpose. This is not about experimenting with AI features; it’s about turning the promise of AGI into practical, auditable, and human-aligned systems that enterprises can trust and rely on at scale. The work here directly impacts productivity, efficiency, and decision-making in complex, real-world environments.
If you’re motivated by building systems that matter — systems that combine intelligence with responsibility — JazzX AI offers the chance to do that work at a deeper level, with real ownership and lasting impact.
Ready to apply?
Apply to JazzX AISecure 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.
Access Management Engineering Team
The Okta Access Management Team builds the foundation for authentication and authorization across Okta-protected resources. Our mission is to enable customers to access these resources securely. We develop Okta cloud services and client software that allow users to seamlessly login to devices and use Okta authenticators to access applications securely. The Access Essentials team is part of Workforce Identity Cloud (WIC) Engineering. Our team is fast-growing and impactful at Okta. Join our team and develop foundational blocks for products that help our customers daily, such as Okta FastPass, Okta Device Assurance, and Okta Device Access. Learn more about Okta’s Engineering on our blog.
About You
The team is seeking a highly technical and experienced engineer on Android application platform & SDKs. The ideal candidate should have solid experience in software development and be enthusiastic about writing Android client software. The role gives the candidate an excellent opportunity to learn about interesting problems in the security and identity space.
- You will join the Android Client Foundations team to design and implement foundational blocks and core platform components for Okta’s mobile line of products like Android Okta Verify app, Fastpass, Device Assurance etc and public SDKs.
- You are a highly technical and experienced engineer. You have a passion for working on mobile platforms, with deep expertise and extensive experience on the Android platform.
- You have successfully built an enterprise or consumer product on the Android platform.
- You are comfortable leading the technical path of an organization breaking ground in a new frontier.
- You will enjoy a high degree of responsibility and impact within Okta.
Job Duties and Responsibilities
- Lead the design, development, and delivery of Okta products.
- Collaborate closely with product managers, designers, and backend engineers to translate requirements into robust and effective solutions.
- Commit to high programming standards by reviewing code and writing unit, functional, and UI tests.
- Optimize applications for speed, scalability, and responsiveness across various devices and browsers.
- Participate in code reviews, providing constructive feedback and ensuring code quality across the team.
- Proactively identify and address technical debt, performance bottlenecks, and areas for improvement.
- Stay up-to-date with the latest trends and technologies in Linux development, evaluating and recommending new tools and approaches.
- Champion a culture of continuous improvement, innovation, and technical excellence within the team.
Required Knowledge, Skills, And Abilities
- 10 - 15 years of professional software development experience
- Good understanding of design patterns, scalability patterns, security engineering, and object-oriented principles.
- Develop and maintain high-quality Android applications using Kotlin.
- Experience working in fast-paced software development teams leveraging continuous integration and deployment practices.
- Strong communication skills and the ability to work across functions.
- Strong debugging and problem-solving skills to identify, diagnose, and resolve complex issues across various Android OS versions and device types.
- Proven track record of designing and implementing highly durable, resilient, and enterprise-grade secure solutions that withstand complex security threats.
Nice-to-haves
- Understanding of Identity and Access Management protocols and architecture (FIDO, U2F, WebAuth, SSO, SAML, Kerberos, OAuth, Federation, etc.)
- Security or Systems development experience on Android, such as root detection, code signing, or tamper resistance experience, PKI, SafetyNet.
- Knowledge of Mobile Device Management.
- Experience working on public-facing SDKs.
Education:
- Bachelor’s degree in Computer Science or equivalent experience.
#LI-Hybrid
#P25115_3437187
The Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.
Ready to apply?
Apply to Okta
Job Title: GenAI Developer/ Engineer
About Us
“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery.
WHY JOIN CAPCO?
You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.
MAKE AN IMPACT
Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.
#BEYOURSELFATWORK
Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.
CAREER ADVANCEMENT
With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.
DIVERSITY & INCLUSION
We believe that diversity of people and perspective gives us a competitive advantage.
Location - Bangalore
Experience - 6 to 10
Skills and Qualifications:
Preferred skills:
Programming: Advanced Python (async programming, OOP, REST APIs, FastAPI, Flask, Pandas, NumPy)
GenAI Frameworks: LangChain, LlamaIndex, Haystack, Semantic Kernel
Machine Learning and AI: Snowflake Cortex, TensorFlow, PyTorch
Key Responsibilities:
- Develop scalable Python applications focused on GenAI
- Knowledge of Snowflake Cortex is a big plus.
- Learn and apply techniques like document chunking and embeddings
- Proficient in both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra) databases, including schema design and optimization.
- Design, develop, and fine-tune applications built around foundation models (e.g., LLMs, multimodal models) for specific business needs
- Implement and experiment with generative AI techniques, including but not limited to Retrieval-Augmented Generation (RAG) and prompt engineering
- Lead the implementation of intelligent autonomous agents and multi-agent systems capable of complex decision-making, task execution, and interaction with external systems
- Utilize and contribute to agentic AI frameworks (e.g., LangChain, AutoGen, Semantic Kernel, Crew AI) to build robust and scalable AI agents
- Develop and integrate Model Context Protocol (MCP) solutions to standardize how AI applications access and utilize external data sources, tools, and real-time information
- Lead the development of full-stack applications that integrate generative AI models and agentic systems, ensuring seamless user experiences
- Work with front-end technologies (e.g., React, Angular, Vue.js, JavaScript, TypeScript, HTML, CSS) and back-end frameworks (e.g., Python with Flask/Django/FastAPI, Node.js, Go)
- Design and implement scalable RESTful APIs and microservices to expose AI functionalities
- Deploy, manage, and optimize AI/ML workloads and full-stack applications on at least one major cloud platform (AWS, Azure, or GCP)
- Implement LLMOps/MLOps and DevOps best practices for continuous integration, continuous delivery (CI/CD), model deployment, monitoring, and lifecycle management
- Follow coding best practices and contribute to testing and documentation
- Stay abreast of the latest advancements in generative AI, agentic systems, foundation models, and related fields through continuous research and experimentation
- Collaborate effectively with cross-functional teams, including product managers, data scientists, researchers, and other engineers
- Communicate effectively with both technical and non-technical team members, ensuring alignment and understanding across all project phases.
Ready to apply?
Apply to CapcoSecure 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.
Role Overview
We are seeking a technically strong Global Partner System Specialist to design, implement, and optimize partner-facing systems and operational processes. This role sits within the Global Partner Program and Strategy team and operates at the intersection of business and technology, bringing deep expertise in PRM management and CRM architecture and development. The primary focus is on PRM platforms, Salesforce, system integrations (including learning management and badging platforms), and partner data architecture supporting the global partner ecosystem.
You will administer and maintain partner systems, ensuring performance, scalability, and data integrity. This includes troubleshooting complex system and integration issues, partnering with technical teams to resolve defects, and helping to design and execute test plans (including taking the lead on regression testing) to validate enhancements. You will translate business requirements into scalable technical solutions, develop user and system documentation, and support change management efforts by creating enablement material, communicating updates, and driving adoption of new features and workflows—ultimately enabling a seamless, data-driven partner experience and improving efficiency across the partner lifecycle.
Key Responsibilities
1. Systems Design & Integration
-
Architecture: Translate business needs into technical user stories and scalable system designs.
-
Integrations: Build and maintain data flows between Salesforce, Impartner PRM, and learning platforms (LMS) for certifications, deal registrations, and badging.
-
Lifecycle Management: Lead configuration, testing, and deployment of system enhancements.
2. Data Governance & Analytics
-
Integrity: Maintain a high standard of data consistency across all partner platforms.
-
Reporting: Design dashboards in Tableau and Salesforce to track partner performance, pipeline visibility, and portal engagement.
3. Quality Assurance & Support
-
Testing: Own end-to-end test plans and lead regression testing for system releases.
-
Technical Support: Troubleshoot complex integration issues and coordinate with developers for defect resolution.
-
User Enablement: Manage user provisioning, create technical documentation, and drive platform adoption.
4. Operational Excellence
-
Workflows: Optimize partner onboarding, agreement management, and deal registration processes.
-
Continuous Improvement: Identify automation opportunities to improve operational efficiency and partner experience.
Qualifications
Required Skills & Experience
- 5+ years of experience in systems-focused roles such as Business Analyst, Systems Analyst, or Technical Partner Operations within a SaaS or technology environment.
- Deep hands-on experience with partner data across CRM (Salesforce) and PRM (Impartner) systems
- Strong understanding of system integrations, APIs, and data flows across enterprise platforms, including learning management systems (Cornerstone & Skilljar)
- Proven ability to translate business requirements into technical solutions and system configurations as well as test, troubleshoot, and request enhancements to partner systems
- Experience participating in the full partner system lifecycle: requirements, design, testing, deployment, and support.
- Advanced analytical and problem-solving skills with a focus on scalable solutions.
- Strong communication skills bridging technical and non-technical stakeholders.
Preferred Qualifications
- Experience with IMpartner
- Familiarity with deal registration and marketing development fund administration
- Hands-on experience with:
- Tableau or similar BI tools
- DocuSign, Conga/Apttus
- Google Workspace
- Experience with data modeling, reporting frameworks, and dashboard design.
- Understanding of partner ecosystem at a SaaS technology company
#LI-Onsite
P25173_3437176
The Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.
Ready to apply?
Apply to Okta
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.
At Okta, partners are central to our success. The Global Partner Program team equips partners with the tools, resources, and operational support needed to build successful and profitable Okta practices.
Okta is seeking a Manager, Global Partner Program Operations to lead and scale the team responsible for all global partner program operations. This leadership role focuses on defining and optimizing critical operational processes, ensuring data integrity, and providing strategic oversight for all partner-facing systems, including the partner portal and key program operations. The Manager will hire, mentor, and guide a team of operations specialists to deliver a best-in-class, seamless experience for partners and internal stakeholders. The ideal candidate is a proven leader who can define strategic initiatives, drive continuous improvement, and manage complex, cross-functional operations in a high-growth environment.
The ideal candidate is highly organized, detail-oriented, and comfortable working in a fast-paced environment while supporting both partners and internal teams.
Key Responsibilities
Team Leadership and Development
- Lead, mentor, and manage a team of Global Partner Program Operations Specialists, including performance management, coaching, and career development.
- Define team priorities, allocate resources effectively, and establish Key Performance Indicators (KPIs) to ensure operational excellence and team efficiency.
- Recruit, onboard, and train new team members as the organization scales.
Program Operational Strategy & Optimization
- Define and optimize the end-to-end operational processes for the Global Partner Program, focusing on scalability, compliance, and efficiency.
- Oversee the seamless execution of high-volume, day-to-day partner operations, including partner onboarding, coordinating partner due diligence with Finance and Partner Sales teams, and managing partner agreement processing.
- Establish best practices for managing inbound support queues and ensure high-quality, timely resolution of complex partner and internal inquiries related to program structure, benefits, and resources and leverage AI where appropriate.
- Drive continuous process improvements for critical functions like Deal Registration operations and the creation of Letters of Authorization (LOAs).
- Oversee support for distribution partners with onboarding their resellers in accordance with program requirements.
Systems, Data Integrity & Reporting
- Partner with systems team to create and maintain operational integrity of all partner systems, including Salesforce, Conga, DocuSign, and the Partner Relationship Management (PRM) platform.
- Oversee the team’s efforts in maintaining accurate partner data integrity across internal systems, partner portals, and partner locator tools.
- Develop and manage reporting dashboards to track operational performance, compliance requirements, and the overall health of the partner ecosystem.
Required Skills and Experience
- 5+ years of progressive experience in partner operations, channel operations, or partner program management, preferably within SaaS or technology.
- 2+ years of direct experience managing and mentoring a team or leading complex cross-functional projects.
- Demonstrated ability to define, implement, and scale complex operational processes across global teams.
- Deep understanding and hands-on experience with core partner systems (e.g., Salesforce and a PRM platform like Impartner).
- Exceptional leadership, communication, and interpersonal skills with a proven ability to collaborate effectively with cross-functional executive stakeholders (e.g., Sales, Finance, Legal) and external partners.
- Advanced analytical and strategic thinking capabilities, with the ability to translate operational metrics into actionable business strategies.
- Strong organizational skills, high attention to detail, and sound judgment in a fast-paced environment.
Preferred Qualifications
Experience with:
- Advanced experience using and administering Salesforce (SFDC) and Partner Relationship Management platforms (e.g., Impartner)
- Proven experience managing vendor relationships for operational tools
- Expertise in data analysis and reporting using tools like Tableau or similar reporting tools
- Familiarity with agreement and data management tools such as Conga/Apptus and DocuSign
- Experience with Google Workspace.
#LI-Onsite
P25171_3437178
The Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.
Ready to apply?
Apply to Okta
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.
At Okta, partners are central to our success. The Global Partner Program team equips partners with the tools, resources, and operational support needed to build successful and profitable Okta practices.
Okta is seeking a Manager, Global Partner Sales Desk to support the transactional sales cycle and manage critical deal flow operations. This role ensures a seamless and efficient sales process by executing deal registration validation, maintaining CRM data quality, and handling quoting and purchase order (PO) processes.
The ideal candidate is highly organised, detail-oriented, and comfortable working in a fast-paced environment while supporting both partners and internal teams.
Key Responsibilities
Team Leadership and Development
- Lead, mentor, and manage a team of Global Partner Sales Desk Specialists and Cloud Desk Specialists, including performance management, coaching, and career development.
- Define team priorities, allocate resources effectively, and establish Key Performance Indicators (KPIs) to ensure operational excellence and team efficiency.
- Manage global team capacity and coverage to ensure all transactional service level agreements (SLAs) are consistently met.
- Recruit, onboard, and train new team members as the organization scales.
Program Operational Strategy & Optimization
- Define and optimize the end-to-end operational processes for the Global Partner Sales Desk, focusing on scalability, compliance, and efficiency and leverage AI wherever possible.
- Oversee the seamless execution of high-volume, day-to-day partner sales desk operations, including Deal Registration and validation, CRM hygiene, Quoting and PO issuance and troubleshooting issues.
- Develop and maintain comprehensive, up-to-date documentation and training materials for all Partner Sales Desk processes for the internal team and key cross-functional stakeholders.
- Work with Global Partner Program Operations team to establish best practices for managing inbound support queues and ensure high-quality, timely resolution of complex partner and internal inquiries related to Deal Registration process.
- Drive continuous process improvements for critical functions to support Partner Sales and ensure timely.
- Collaborate with IT teams to define and prioritize system enhancements in core platforms (e.g., Salesforce, PRM) to improve partner sales desk efficiency, scalability, and the overall partner experience.
- Monitor, analyze, and report on operational metrics to identify trends, performance gaps, and opportunities for cost reduction or efficiency gains.
Required Skills and Experience
- 5+ years of progressive experience in partner sales operations or channel sales operations preferably within SaaS or technology.
- 2+ years of direct experience managing and mentoring a team or leading complex cross-functional projects.
- Demonstrated ability to define, implement, and scale complex operational processes across global teams.
- Deep understanding and hands-on experience with core partner systems (e.g., Salesforce and a PRM platform like Impartner).
- Exceptional leadership, communication, and interpersonal skills with a proven ability to collaborate effectively with cross-functional executive stakeholders (e.g., Sales, Finance, Legal) and external partners.
- Advanced analytical and strategic thinking capabilities, with the ability to translate operational metrics into actionable business strategies.
- Strong organizational skills, high attention to detail, and sound judgment in a fast-paced environment.
Preferred Qualifications
Experience with:
- Advanced experience using and administering Salesforce (SFDC) and Partner Relationship Management platforms (e.g., Impartner)
- Expertise in data analysis and reporting using tools like Tableau or similar reporting tools
- Familiarity with agreement and data management tools such as Conga/Apptus and DocuSign
- Experience with Google Workspace
#LI-Onsite
P25172_3437184
The Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.
Ready to apply?
Apply to Okta
Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide.
Living our values everyday results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves.
The Team
The product engineering team drives the realization of practical AI solutions for the contact centre environment. Our existing Studio product stack is built on PHP/Laravel, Python and Vue.js technology deployed in private and public clouds. We leverage the latest cloud AI services such as Azure OpenAI, Google AI APIs, IBM Watson and Amazon Lex.
Our vision is nothing less than to reimagine the experience of connection between end users and the brands which serve them. Our AI agents will offer self-service which delights and accomplishes tasks at super-human speeds, while also blending in live human agents for the many cases when a human touch is needed. Our AI agents will assist the live agents too and help supervisors and managers get the most out of their mix of human and AI labor.
The role of Senior Software Engineer is for the Studio Innovations team, which modernizes existing Studio product. This team keeps our production systems stable, secure, and performing at their best, handling everything from enhancement of the existing studio product to modernize it into Java microservices on the GCP cloud.
This position is based out of one of the offices of our affiliate Acqueon Technologies in India and will adopt the hybrid work arrangements of that location.
Role purpose
The role of a Senior Software Engineer in the R&D AI Automation Team is to design, develop, and maintain the software solution (Studio) with drag-drop flow builder and execution engine that integrates multiple channels like voice, SMS, and chatbot with the Five9 contact centre voice solution. This role would be a key developer role to modernize and re-architect the existing Studio product to use Java microservices on GCP. The Senior engineer's responsibilities include software design and development, testing and documentation across our backend, front-end and interaction management platforms to deliver end-to-end features, work with product owners and designers to expand the feature set and create high-quality user interfaces, take operational responsibility for the performance and quality of services owned by your team, potentially including taking part in an on-call rotation, deep dive into cutting edge technologies and work with the products team to transfer ideas into products.
How you contribute
- Understands various programming languages, frameworks, and development methodologies, which allow you to make informed decisions and solve complex technical challenges.
- Help create blueprints that outline how different components of the system will interact, ensuring scalability, maintainability, and performance
- Writing high-quality, efficient, and maintainable code that serves the purpose of scaling and tenancy management. Should follow coding best practices and contribute to developing software modules, features, and functionalities.
- Contribute to production incident management and debugging complex issues using knowledge of monitoring tools, logging systems, and application performance management like New Relic, Grafana, Prometheus etc.
- Mentor junior engineers, helping them develop their skills and grow as professionals. This fosters a culture of continuous learning and collaboration within the team.
- Ensure that the development stays on track, milestones are met, and the project aligns with business objectives.
- Collaborate with cross-functional teams, including product managers, designers, and quality assurance professionals, to ensure that everyone is aligned on project goals and progress.
Skills, competencies and qualifications
Required:
- 5+ years of designing and developing high traffic distributed and scalable systems on a cloud-based platform (GCP. AWS or Azure) in a SaaS company. Hands-on expertise in cloud-native backend microservices with Java & backend frameworks like Spring Boot.
- Highly proficient in a variety of programming languages, including but not limited to Java, PHP, Javascript, Python or others as required.
- Experience with web development technologies such as HTML, CSS, JavaScript, and modern front-end frameworks like Vue.js or React.
- Strong observability and monitoring exposure by monitoring tools, logging systems, and application performance management like New Relic, Grafana, Prometheus etc.
- Expertise in databases (SQL and NoSQL), and their optimization techniques.
- Expertise in CI/CD, Containerization and Kubernetes.
- Awareness of web security best practices and the ability to implement security measures to protect applications and data.
- Ability to deploy and monitor applications in production along with diagnosing any technical issues.
- A portfolio of past projects showcasing full-stack development skills.
- Ability to work independently and as part of a collaborative team.
- Strong commitment to delivering high-quality code and solutions on time and within scope.
Educational qualifications
- Bachelor's degree in computer science, engineering, or related field
Desirable:
- Experience with PHP.
- Experience with Contact Centre, IVR, Virtual Agents, VoIP and telecommunications service providers is advantageous.
Other requirements
- This position requires the ability to be On Call.
Key relationships
There are no direct reports to this role.
Key stakeholders include:
- Service owners and their teams.
- Technical leadership and senior management, including VPs.
- Engineering teams.
- Network and Telecom teams.
- Customer service teams.
- Compliance and infosec teams.
Reporting Structure
- This position reports to the Senior Engineering Manager
Five9 embraces diversity and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better we are. Five9 is an equal opportunity employer.
View our privacy policy, including our privacy notice to California residents here: https://www.five9.com/pt-pt/legal.
Note: Five9 will never request that an applicant send money as a prerequisite for commencing employment with Five9.
Ready to apply?
Apply to Five9
Sr Data Scientist
Share this job
About Zuora
At Zuora, we help businesses grow smarter and adapt faster. Our platform powers modern business models — from subscriptions and usage-based pricing to AI-driven and outcome-based offerings — helping companies launch new products, automate complex billing, and unlock predictable, recurring revenue.
We’ve led the Subscription Economy for more than a decade. Now we’re evolving again by building the definitive platform for quote to cash and helping companies monetize their products and services with an adaptable, AI-ready foundation.
The Opportunity
We’re looking for a strong technical contributor to drive AI/ML innovation and deliver real business impact through intelligent solutions.
You’ll:
- Identify high-impact opportunities using AI/ML to solve customer and business problems
- Partner with stakeholders and influence decisions through data-driven insights
- Build and deploy end-to-end ML models (including LLMs) using structured and unstructured data
- Collaborate with engineering teams to develop scalable data and ML pipelines
- Take full ownership from idea to production, delivering measurable business outcomes
This role is ideal for someone who can combine deep technical expertise with business thinking to simplify complexity and build impactful, production-ready AI solutions.
About You
- 7+ years of experience in the data science/machine learning domain, preferably with hands-on end-to-end model building experience
- Curious mind to learn, explore and identify biggest customer opportunities
- Build strong relationships across both technical and business/product teams, earn trust with leadership
- Driven towards forming opinions and conclusions through data and experimentation, rather than anecdotes and hearsay
- Willingness to dive deep into the tech stack as well as hands-on coding
- Experience in building end to end ML models, across the ML lifecycle
- Strong communication and leadership presence
- Technical skills- hands on with scripting required, with knowledge or willingness to learn tools/softwares. Knowledge of R, SQL, Python, Statistical modeling, experience with AWS/Azure/GCP ML suite
- Experience in the following domains/industries preferred- SaaS, ecommerce, pricing or payments
- Bachelors/Masters in a technical or natural sciences domain from a top university
Even if you feel like you meet some, but not all of the qualifications, we would love it if you take the time to apply to the role. As we evolve and scale up a relatively new team, we strongly believe that a diverse team structure will accelerate progress towards our objectives.
The Team
Zuora Platform Tech is at the forefront of technological and business transformation, tackling complex, ambiguous problems to drive innovation. As part of the AIMS team (AI, ML, and Science), you’ll work on applying advanced AI and data science to enable total monetization across Zuora’s product suite and beyond.
The team operates at the intersection of AI, business strategy, and product innovation, solving high-impact problems like pricing, forecasting, segmentation, and optimization. The tech stack includes Java, Spring, Microservices, Kafka, Spark, NodeJS, AWS, Kubernetes, Terraform, and AngularJS.
Benefits
Zuora offers a comprehensive total rewards package designed to support ZEOs’ wellbeing, growth, and flexibility. While specific offerings may vary by country, we typically provide:
- Competitive compensation, variable bonus and performance-based reward opportunities, and retirement programs
- Medical, dental, and vision insurance
- Generous, flexible time off, plus paid holidays, wellness days, and a company-wide year-end break
- Paid parental leave (including fully paid leave for eligible ZEOs, subject to local policy)
- Learning & development stipend to support ongoing growth
- Opportunities to volunteer and give back, including charitable donation matching where available
- Mental wellbeing resources and support
*Benefits may vary by location; details will be shared during the interview process
#ZEOLife at Zuora
ZEOs (our employees) are empowered to take ownership, challenge the status quo, and make a real impact. We:
- Collaborate deeply across teams and regions
- Learn constantly and iterate often
- Build an inclusive, high-performance culture where people feel inspired, connected, and valued
Our Commitment to an Inclusive Workplace
Think, be and do you.
At Zuora, different perspectives, experiences, and contributions matter — everyone counts.
Zuora is proud to be an Equal Opportunity Employer committed to creating an inclusive environment for all. We do not discriminate on the basis of, and consider individuals seeking employment with Zuora without regard to, race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to assistance@zuora.com (or local equivalent, where applicable).
Ready to apply?
Apply to Zuora
Principal Product Manager, Platform
Share this job
HG Insights is looking for an exceptional product manager to help us to accelerate the development of the HG platform. You’ll work with the leading and most prominent companies in the world to solve some of their most challenging go-to-market, business operations, and strategic planning problems, worth millions (and sometimes billions) of dollars to them and their teams. You will work closely with Sales, Customer Success, Solutions, Engineering, and others to make a maximum impact across the business.
Report to the Director of Product, you will use your product experience and domain knowledge to drive critical parts of the HG platform.
What You'll Be Responsible For:
- Listening and learning: you'll become fluent in the problems our customers face, their use cases, our value proposition, our product, and our competitive landscape.
- Bringing a fresh perspective to our current processes, challenging the assumptions around product delivery.
- Leading effective market validation, release, rollout and positioning of strategic product offerings
- Identify and size target markets, customer segments, value propositions and use cases
- Define product KPIs and manage all HG Insights products through metric and ROI-driven methods
- Assure all product management decisions are justified based on strong financial analysis and business cases
- Identify, consider, and approve continuous upgrades to product management processes assuring that HG Insights is abiding by industry-leading product management processes
- Define the product roadmap and success metrics for your ownership areas in alignment with company vision, customer needs, and market trends.
- Engage with customers frequently to share the roadmap, collect feedback, and develop a deep understanding of their needs and challenges.
- Engage with Sales, Marketing, and Customer Success teams frequently to collect feedback, collaborate on solutions, and drive product adoption and engagement.
- Track and measure KPIs for your product areas and proactively report learnings to leadership.
- Conduct detailed market research and customer validation to demonstrate the ROI of different product opportunities prior to investment.
- Synthesize feedback into detailed use cases based on specific, real-world product applications.
- Manage multiple backlogs of prioritized features and enhancements according to customer need and product strategy.
- Partner with Engineering to ensure requirements are clear, user stories are written, and acceptance criteria followed per agile software development principles.
- Evangelize the product vision across owned product lines to stakeholders.
- Champion the voice of customers in our product strategy.
What You’ll Need:
- 10+ years product management experience in building B2B SaaS products
- Experience building products for the revenue-generating parts of a business (Sales, Marketing, Customer Success, Solutions/Services, Finance, C-Suite, etc.)
- Experience designing and shipping scalable platform products with first-party integration ecosystems
- Own AI Product Lifecycle - drive AI native products from ideation to launch - with focus on customer value
- Sharp eye for design and bias towards simplicity keeping the user experience as central focus.
- Excellent communicator, both written and verbal
- Proven track record at early stage, venture-backed tech companies.
- Ability to thrive in an intense, dynamic, convention-challenging, and high demand start-up environment
- Deep familiarity with the B2B GTM intelligence stack — including platforms like 6sense, ZoomInfo, Apollo, Demandbase, or Bombora
- Competitive, goal oriented, coachable, and fun
- High level of personal and professional integrity and trustworthiness with strong work ethic and the ability to work independently with minimal direction
- Experience integrating data with CRM, MAP, or ERP is a plus.
Ready to apply?
Apply to HG Insights
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.
About the Role
We are seeking an experienced and data-driven Senior Digital Analyst to join our team. In this role, you will collaborate closely with our lead digital analytics experts, serving as a key contributor to our digital analytics operations with a strong emphasis on Adobe Analytics. You will play a crucial role in supporting our digital user experience by ensuring robust data collection, building intuitive reporting workspaces, and helping to empower cross-functional teams to make data-informed decisions.
Key Responsibilities
- Analytics Strategy & Reporting: Leverage your deep knowledge of Adobe Analytics to help build, maintain, and optimize complex Workspaces that deliver actionable insights to stakeholders across the organization.
- Team Enablement: Support a data-driven culture by assisting in the onboarding, training, and enabling of team members to effectively utilize Adobe Workspace for self-service reporting and analysis.
- Data Quality & QA: Participate in the functional Quality Assurance (QA) of Adobe Analytics tracking implementations to ensure accurate and reliable data collection across digital properties.
- Troubleshooting: Proactively monitor, troubleshoot, and debug data tracking anomalies or reporting issues, working closely with primary subject matter experts, engineering, and marketing operations teams to deploy fixes.
- Data Architecture & Classification: Assist in the management and maintenance of tracking architectures, including dimensions, metrics, segmentation, marketing channels, and classifications.
Required Qualifications
- Expert-Level Adobe Analytics: Deep, hands-on knowledge of how Adobe Analytics for 4 years works under the hood, including custom dimensions (eVars/props), events, advanced segmentation, marketing channel processing rules, and classifications.
- Workspace Mastery: Extensive experience in designing, building, and curating Adobe Analytics Workspaces tailored to different stakeholder needs.
- Mentorship & Training: Proven experience onboarding and enabling cross-functional team members (marketing, product, etc.) to use Adobe Workspace effectively.
- Debugging Expertise: Strong technical ability to troubleshoot and debug tracking issues using browser network tools, developer consoles, and analytics debugging extensions.
- Functional QA: Demonstrated experience executing functional QA for tracking deployments to validate analytics payloads before and after production releases.
Preferred Qualifications (Nice to Have)
- Working knowledge of SQL for data querying and analysis.
- Hands-on experience working with Adobe Launch / Data Collection Tags.
- Experience implementing and managing tags via Google Tag Manager (GTM).
- Working knowledge of Google Analytics 4 (GA4) and its event-based data model.
#LI-Hybrid
#P25155_3434078
The Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.
Ready to apply?
Apply to Okta
What we want to accomplish and why we need you
Suki is a leading technology company that provides AI voice solutions for healthcare. Its mission is to reimagine the healthcare technology stack, making it invisible and assistive to lift the administrative burden from clinicians. Its flagship product is Suki Assistant, an AI assistant that uses generative AI to automatically create clinical documentation by ambiently listening to patient-clinician conversations. Suki helps clinicians complete notes 72% faster on average, assists with other tasks including coding and answering questions, and generates incremental revenue for organizations, delivering a 9X ROI in year 1. Suki also offers its proprietary AI and speech platform, Suki Platform, to partners who want to create best-in-class ambient and voice experiences for their solutions. Clinicians that use Suki already spend over 70% less time on administrative tasks, and we’re striving to do even better. Come and join us!
We are a user-driven company and are committed to making sure every pixel of our product is in service of the doctors. We’re a team of technologists, clinicians, and industry experts working together to push the limits on technology used in medicine. We’re confident enough to move fast and talented enough not to break things.
What will you do everyday?
We are looking for a Software Developer to join our Backend Engineering team. Specifically, you will be:
- Collaborating with the product, design and operations teams to build a world class product
- Developing, owning and maintaining highly scalable distributed services and solutions
- Implementing a microservices based architecture using Golang and Python
- Ensure application performance, uptime, and maintaining high standards of code quality
- Maintaining continuous integration and deployment tools; creating unit and integration tests for written software code
Ok, you're sold, but what are we looking for in the perfect candidate?
- Expertise: You know how to code. You understand our tech stack and can be productive with it. In other words, you’ve done this before.
- Action oriented: You love to build. You like to ship fast and quickly iterate.
- Creativity: You enjoy listening to user feedback and then building product in novel ways. You’re resourceful and enjoy finding alternate paths to success.
- Problem solving: you use data to help point you in the correct direction. You optimize relentlessly. You think business and engineering problems are like puzzles and you stick with them until they are solved.
- Humility: You’re humble and love working in a team without ego to deliver products
- Adaptability: You thrive in a fast-moving organization that uses light-weight process and cutting-edge technology to have a huge impact.
- Confidence: You trust your abilities and you’re ready to push yourself to the next level.
Qualifications*
- Strong product development experience in building distributed systems and microservices.
- 2 to 5 years experience
- Strong programming skills on Linux using Go
- Strong foundation in data structures, algorithms and a strong understanding of concurrent programming
- Superior organization, written/verbal communication, interpersonal and leadership skills
- Ability to collaborate effectively with cross functional teams to solve complex problems and building products spanning across geographically distributed teams to deliver end-to-end products & features
- Ability to multi-task and re-prioritize responsibilities based on changing requirements
- Bachelors/Masters degree in computer science or related field
It will be a huge plus if you have:
- Experience working with gRPC, gRPC context and Protocol Buffers
- Experience with infrastructure and systems engineering, and scaling services on cloud computing platforms like GCP
Tell me more about Suki
- On a roll: Named by Fast Company as one of the most innovative companies, named Google’s Partner of the Year for AI/ML, named by Forbes as one of the top 50 companies in AI .
- Great team: Founded, managed, and backed by successful tech veterans from Google and Apple and medical leaders from UCSF and Stanford. We have technologists and doctors working side-by-side to solve complex problems.
- Great investors: We’re backed by Venrock, First Round Capital, Flare Capital, March Capital, Hedosophia and others. With our $165M raised so far, we have the resources to scale.
- Huge market: Disrupting a massive, growing $30+ billion market for transcription, dictation, and order-entry solutions. Our vision is to become the voice user interface for healthcare, relieving the administrative burden on doctors instead of adding to it.
- Great customers: Our solutions are used in health systems and clinics across the country, supporting clinicians across dozens of specialties. Check out what one of our users says about how Suki has helped his practice.
- Impact: You’ll make an impact from day one. You’ll join a team working towards a shared purpose with a culture built upon deep empathy for doctors and passion for making their lives better.
Suki is an Equal Opportunity Employer. We are dedicated to building a company that fosters inclusion and belonging and reflects the diverse communities we serve across the country. We know we are stronger this way, and we look forward to growing our team with these shared values.
Ready to apply?
Apply to Suki
About EarnIn
As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks.
We’re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We’re growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey.
POSITION SUMMARY
EarnIn is seeking a Platform Engineer to help with strategic design, automation, and optimization of our cloud infrastructure. This role involves innovation in cloud operations, enabling rapid development and scaling solutions across teams and systems. This is an impactful role within the organization, designed for those who excel at critically evaluating the needs of a rapidly growing company and at anticipating and solving cloud challenges at scale.
This position will be hybrid, based in our Bengaluru office (HSR Layout), as part of our expanding site. EarnIn offers our employees excellent benefits, including healthcare, internet/cell phone reimbursement, a learning and development stipend, and opportunities to travel to our Mountain View HQ. Our salary ranges are determined by role, level, and location. We are unable to provide visa sponsorship or immigration support for this position.WHAT YOU'LL DO
- AI-Agent Development: Design, build, and iterate on AI agents that automate platform operations, from service and infra bootstrap, intelligent incident diagnosis, automated runbook execution, to self-healing infrastructure and PR-review bots. Own the agent lifecycle: prompt engineering, tool/function-call orchestration, evaluation, and production monitoring.
- Workflow Automation with AI: Identify and eliminate repetitive human-in-the-loop workflows across CI/CD, environment management, access provisioning, and change management.
- Kubernetes Infrastructure: Support our Kubernetes platform on AWS EKS, with a focus on environment hygiene and security; execute cluster-level tasks and updates with minimal support, and leverage AI for anomaly detection, capacity recommendations, and automated remediation.
- Developer Experience: Utilize our developer control plane (Cortex) to maintain paved paths and self-service actions, helping teams move from idea to production with minimal friction.
- Observability & Excellence: Strengthen operational excellence by monitoring SLOs/error budgets and utilizing Datadog for metrics, traces, and logs to improve system reliability.
- Platform Development: Develop platform services using industry best practices that enable operational excellence for Data, CI/CD, and Security.
- Service Standardization: Maintain service scaffolds and templates that encode testing and telemetry standards, ensure alignment with platform baselines, and use AI to auto-generate and validate configurations against them.
WHAT WE'RE LOOKING FOR
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 3+ years in platform, infrastructure, or backend engineering with deep knowledge of Kubernetes (EKS) and cloud-native architectures on AWS.
- Demonstrated experience building AI agents or agentic workflows, not just using Copilot or ChatGPT, but designing multi-step AI systems that autonomously perform operational tasks (e.g., LLM-powered runbook agents, intelligent CI/CD bots, self-service assistants with tool-use/function-calling).
- Track record of automating away repetitive workflows with AI. You should be able to point to specific examples where you replaced manual processes with AI-driven automation that let a team do more with fewer resources.
- Experience in GitOps (ArgoCD) and CI (GitHub Actions) for multi-service systems.
- Strong coding skills in Go and/or Python, treating infrastructure as software.
- Excellent communication skills; able to clearly convey technical issues and advocate for both the team's and the customer's needs.
- Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, CrewAI, or custom agent architectures) and prompt engineering for production systems.
- Mission-Driven: A strong advocate for the customer who takes initiative to fix issues and constantly asks, "can an AI agent do this instead of a human?"
- Experience using AI-assisted development tools (e.g., Copilot, Cursor, LLMs) is a plus
- Experience with service mesh (e.g., Linkerd) and traffic management patterns.
- Hands-on contributions to developer productivity insights and observability for cost-aware engineering decisions.
At EarnIn, we believe that the best way to build a financial system that works for everyday people is by hiring a team that represents our diverse community. Our team is diverse not only in background and experience but also in perspective. We celebrate our diversity and strive to create a culture of belonging. EarnIn does not unlawfully discriminate based on race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. EarnIn is an E-Verify participant.
EarnIn does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or HR team.
Ready to apply?
Apply to EarnIn
Staff, Design for Test Engineer (DFT)
Share this job
Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.
The role is Design for Test (DFT) for high-performance designs going into industry leading AI/ML architectures. The person coming into this role will be involved in all implementation aspects from RTL to tapeout for various IPs on the chip. High level challenges include reducing test cost while attaining high coverage, and facilitating debug and yield learnings while minimizing design intrusions. The work is done collaboratively with a group of highly experienced engineers across various domains of the ASIC.
This role is hybrid, based out of Bangalore.
We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.
Responsibilities:
- Implementation of DFT features into RTL using verilog.
- Understanding of DFT Architectures and micro-architectures.
- ATPG and test coverage analysis using industry standard tools.
- JTAG, Scan Compression, and ASST implementation.
- Gate level simulation using Synopsys VCS and Verdi.
- Support silicon bring-up and debug.
- MBIST planning, implementation, and verification.
- Support Test Engineering on planning, patterns, and debug.
- Develop efficient DFx flows and methodology compatible with front end and physical design flows
Experience & Qualifications:
- BS/MS/PhD in EE/ECE/CE/CS with at least 5 years of industry experience in advanced DFx techniques.
- DFx experience implementing in finFET technologies.
- Experience with industry standard ATPG and DFx insertion CAD tools.
- Familiarity with SystemVerilog and UVM.
- Fluent in RTL coding for DFx logic including lock-up latches, clock gates, and scan anchors.
- Understanding of low-power design flows such as power gating, multi-Vt and voltage scaling.
- Good understanding of high-performance, low-power design fundamentals.
- Knowledge of fault models including Stuck-at, Transition, Gate-Exhaustive, Path Delay, IDDQ, and Cell Aware.
- Exposure to post-silicon testing and tester pattern debug are major assets.
- Experience with Fault Campaigns a plus.
- Strong problem solving and debug skills across various levels of design hierarchies.
Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.
This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.
Ready to apply?
Apply to Tenstorrent
What we want to accomplish and why we need you
Suki is a leading technology company that provides AI voice solutions for healthcare. Its mission is to reimagine the healthcare technology stack, making it invisible and assistive to lift the administrative burden from clinicians. Its flagship product is Suki Assistant, an AI assistant that uses generative AI to automatically create clinical documentation by ambiently listening to patient-clinician conversations. Suki helps clinicians complete notes 72% faster on average, assists with other tasks including coding and answering questions, and generates incremental revenue for organizations, delivering a 9X ROI in year 1. Suki also offers its proprietary AI and speech platform, Suki Platform, to partners who want to create best-in-class ambient and voice experiences for their solutions. Clinicians that use Suki already spend over 70% less time on administrative tasks, and we’re striving to do even better. Come and join us!
We are a user-driven company and are committed to making sure every pixel of our product is in service of the doctors. We’re a team of technologists, clinicians, and industry experts working together to push the limits on technology used in medicine. We’re confident enough to move fast and talented enough not to break things.
Our tech stack includes GCP, Kubernetes, Golang, Python, React, C++, TypeScript, JavaScript, Swift, Kotlin, gRPC, and GraphQL.
What will you do everyday?
You’ll create engaging product experiences on iOS/Android and services that delight and empower doctors with experiences that they could never imagine with their health IT systems. You have an equal grasp of iOS and Android native development expertise in Swift/Objective-C/Kotlin/Java. You will work with the product, design and operations team to build the best product and support it. You will be DevOps friendly and you will write, test and deploy your own code. While you know how to work hard, you also know how to have fun at work, make friends with your colleagues and contribute to our diverse and inclusive culture. You will also contribute to making doctors’ lives better by reducing the administrative burden they face every day. You will be hungry to contribute and make a difference in the product quality.
Ok, you're sold, but what are we looking for in the perfect candidate?
- Expertise: you know how to code. You understand our tech stack and can be productive with it. In other words, you’ve done this before.
- Action oriented: You love to build. You know that perfect is the enemy of the good – you like to ship fast and quickly iterate.
- Creativity: You enjoy listening to user feedback and then building product in novel ways. You’re resourceful and enjoy finding alternate paths to success.
- Problem solving: you use data to help point you in the correct direction. You optimize relentlessly. You think business and engineering problems are like puzzles and you stick with them until they are solved.
- Humility: You’re humble and love working in a team without ego to deliver products
- Adaptability: You thrive in a fast-moving organization that uses light-weight process and cutting-edge technology to have a huge impact.
- Confidence: You trust your abilities and you’re ready to push yourself to the next level.
Qualifications*
- 5 to 8 years of work experience
- Proficiency using Android SDK
- Kotlin experience is a must. Swift is a plus.
- Experience with Android frameworks such as Jetpack compose
- Must have experience with testing tools like JUnit etc.
- Familiarity with RESTful APIs and third-party libraries (e.g., Retrofit, OkHttp, etc.).
- Experience building and shipping apps to Google Play store
- Must have at least 1+ apps on listed in Play store
- Experience in working with large scale distributed applications
- DevOps experience is a plus as well
- Any formal degree is preferred, but not necessary
- Strong grasp of CS fundamentals including algorithms, data structures and design is preferred
- Bachelors/Masters degree from a Tier 1 college or university
* We don’t necessarily expect to find a candidate that has done everything listed, but you should be able to make a credible case that you’ve done most of it and are ready for the challenge of adding some new things to your resume.
Tell me more about Suki
- On a roll: Named by Fast Company as one of the most innovative companies, named Google’s Partner of the Year for AI/ML, named by Forbes as one of the top 50 companies in AI .
- Great team: Founded, managed, and backed by successful tech veterans from Google and Apple and medical leaders from UCSF and Stanford. We have technologists and doctors working side-by-side to solve complex problems.
- Great investors: We’re backed by Venrock, First Round Capital, Flare Capital, March Capital, Hedosophia and others. With our $165M raised so far, we have the resources to scale.
- Huge market: Disrupting a massive, growing $30+ billion market for transcription, dictation, and order-entry solutions. Our vision is to become the voice user interface for healthcare, relieving the administrative burden on doctors instead of adding to it.
- Great customers: Our solutions are used in health systems and clinics across the country, supporting clinicians across dozens of specialties. Check out what one of our users says about how Suki has helped his practice.
- Impact: You’ll make an impact from day one. You’ll join a team working towards a shared purpose with a culture built upon deep empathy for doctors and passion for making their lives better.
Suki is an Equal Opportunity Employer. We are dedicated to building a company that fosters inclusion and belonging and reflects the diverse communities we serve across the country. We know we are stronger this way, and we look forward to growing our team with these shared values.
Ready to apply?
Apply to Suki
What we want to accomplish and why we need you.
Suki is a leading technology company that provides AI voice solutions for healthcare. Its mission is to reimagine the healthcare technology stack, making it invisible and assistive to lift the administrative burden from clinicians. Its flagship product is Suki Assistant, an AI assistant that uses generative AI to automatically create clinical documentation by ambiently listening to patient-clinician conversations. Suki helps clinicians complete notes 72% faster on average, assists with other tasks including coding and answering questions, and generates incremental revenue for organizations, delivering a 9X ROI in year 1. Suki also offers its proprietary AI and speech platform, Suki Platform, to partners who want to create best-in-class ambient and voice experiences for their solutions. Clinicians that use Suki already spend over 70% less time on administrative tasks, and we’re striving to do even better. Come and join us!
We are a user-driven company and are committed to making sure every pixel of our product is in service of the doctors. We’re a team of technologists, clinicians, and industry experts working together to push the limits on technology used in medicine. We’re confident enough to move fast and talented enough not to break things.
What will you do every day?
We are looking for a Software Architect to join our Engineering team. Suki's architecture practice is at an inflection point. We have sustained significant CCU growth, completed a demanding OLTP Database scaling journey, leveraged Redis Streams based service orchestration, deployed self-hosted ML models, built agent-driven workflows, launched an Offline Data Platform, and maintained a client surface spanning iOS, Android, Web, SDKs, and a Chrome extension — with on-device ML capabilities across all of them.
The Architect is the person who holds institutional memory and architectural coherence across this surface area — so that decisions made in isolation don't quietly contradict each other, patterns are reused rather than reinvented, and deviations from established patterns are documented, not silently absorbed. The work ahead includes enhanced agentic capabilities, continued multi-region expansion, investments on stream-based/offline data processing, and a growing ML inference footprint.
On a day to day basis, you will:
- Maintain architectural coherence across a complex and wide surface area.
- Own the load-bearing substrate through future growth and failure scenarios. The system must survive several multiples of current enterprise scale and every class of infrastructure event we can name.
- Drive the structural decomposition of platform and domain boundaries, service boundaries across the microservice portfolio, agentic framework direction, auth and access-control architecture, and cross-cutting concerns like observability and rate limiting.
- Bridge AI research and production infrastructure. Translate LLM and model requirements into efficient, production-grade services. Lead the agentic framework direction — memory architectures, tool orchestration, A2A patterns, semantic caching. Operate a GPU fleet at high duty cycle and understand dynamic batching, cross-session batching tradeoffs, and HPA calibration for GPU workloads.
- Document architectural patterns and deviations. Write Architectural Design Records, RFCs, and breaking-points documents that stand alone for readers unfamiliar with the context. Document deviations from established patterns with their reasons — not as failures, but as data points.
- Remain hands-on — stay connected to the craft, read and write code. Prototype new architectures. Review pull requests for patterns that matter. Implement the hard parts of a new pattern yourself when it matters. Lead resolution of the most critical incidents.
- Mentor and elevate the engineering organization. Act as a technical multiplier for senior engineers across backend, data, and ML disciplines. Hold a room, defend a position under pushback without collapsing into agreement, and adjust register for engineering vs. product vs. leadership audiences. Foster a culture of deep technical understanding, not just pattern-matching.
- Represent Suki’s architecture and engineering both in internal and external forums through technical blogs, conferences and meetups
QUALIFICATIONS
- Bachelor's or Master's degree in Computer Science or a related field, or equivalent production experience
- 10+ years of professional software engineering experience, with a proven track record operating at an Architect, Staff, or Principal level
- Expert-level proficiency in Go or Python, with the ability to lead architectural decisions and remain hands-on in code
- Production ownership of a real-time streaming system (Redis Streams, Kafka, Pulsar, or equivalent) at scale — including personal pager experience and a specific debugging story for a duplicate-processing or lost-message bug
- Experience operating multi-TB storage systems with active OLTP traffic
- Hands-on experience with offline/batch architectures: Airflow or equivalent orchestration, columnar formats (Iceberg, Delta, or Hudi), and warehouse-scale query engines (BigQuery, Snowflake, or Redshift)
- Experience designing and operating GPU inference infrastructure at scale, including dynamic batching, Triton/TensorRT, and HPA calibration for GPU workloads — or equivalent ML inference platform depth
- Experience integrating and scaling systems using LLM APIs or foundation models, with opinions about agent framework design, memory architectures, and tool orchestration
- Demonstrated experience navigating product-vs-platform decomposition in a real organization — including having been wrong, and articulating what the reversing signal was
- Proven ability to reason about client-side implications of backend decisions across native mobile, web, SDK, and browser extension surfaces
- Familiarity with healthcare-adjacent regulation (HIPAA, PIPEDA, PHIPA, SOC2, or HITRUST) as a design constraint, not just a compliance requirement, will be a strong plus
- Strong experience with GCP, Kubernetes, Docker, gRPC, and Protocol Buffers; multi-region architecture and data residency design will be a strong plus
What We're Looking For
- Distinguished Technical Expertise: You are a recognized expert with a proven history of architecting, building, and operating complex systems with a strong software engineering talent.
- Strategic, Systems-Level Thinker: You look beyond immediate requirements to anticipate future challenges. You can navigate deep ambiguity, identify long-term risks, and make high-judgment decisions that balance technical purity with business velocity.
- Pragmatic and Action-Oriented: You have a bias for action and a data-driven approach to problem-solving. You understand the entire lifecycle of an ML-powered feature, from data to deployment, and know how to ship robust solutions quickly.
- Leadership Through Influence: You have a demonstrated ability to lead complex, cross-functional technical initiatives without direct authority. You build
Tell me more about Suki
- On a roll: Named by Fast Company as one of the most innovative companies, named Google’s Partner of the Year for AI/ML, named by Forbes as one of the top 50 companies in AI .
- Great team: Founded, managed, and backed by successful tech veterans from Google and Apple and medical leaders from UCSF and Stanford. We have technologists and doctors working side-by-side to solve complex problems.
- Great investors: We’re backed by Venrock, First Round Capital, Flare Capital, March Capital, Hedosophia and others. With our $165M raised so far, we have the resources to scale.
- Huge market: Disrupting a massive, growing $30+ billion market for transcription, dictation, and order-entry solutions. Our vision is to become the voice user interface for healthcare, relieving the administrative burden on doctors instead of adding to it.
- Great customers: Our solutions are used in health systems and clinics across the country, supporting clinicians across dozens of specialties. Check out what one of our users says about how Suki has helped his practice.
- Impact: You’ll make an impact from day one. You’ll join a team working towards a shared purpose with a culture built upon deep empathy for doctors and passion for making their lives better.
Suki is an Equal Opportunity Employer. We are dedicated to building a company that fosters inclusion and belonging and reflects the diverse communities we serve across the country. We know we are stronger this way, and we look forward to growing our team with these shared values.
Ready to apply?
Apply to Suki
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.
Get to know Okta
Okta is The World’s Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth.
At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we’re looking for lifelong learners and people who can make us better with their unique experiences.
Join our team! We’re building a world where Identity belongs to you.
The Product
Auth0 is a developer-friendly identity platform that simplifies authentication and authorization for applications. Designed by developers for developers, we make access to applications safe, secure, and seamless for the more than 100 million daily logins around the world. Our modern approach to identity enables this Tier-Ø global service to deliver convenience, privacy, and security so customers can focus on innovation. Know more about our product at https://auth0.com/.
The Role
We are hiring for a new team within Core Identity, the Engineering organization entrusted with the very heart of the Auth0 application. Our teams own the authentication pipeline, identity protocols, user sessions, and all the fundamental concepts and foundational elements that underpin our entire product. We are also the stewards of the platform's technical health, performance, and efficiency.
As a Senior Engineer for this new team, named Core Frontier, you will operate at the vital intersection of deep product innovation and the global customer experience. Your mission is to ensure that the sophisticated features developed across the Core Identity organization (such as Native to Web, Cross-App Access and Custom Token Exchange) are hardened, scaled, and seamlessly integrated into the Auth0 ecosystem. You will act as the architectural bridge, ensuring that complex internal logic translates into a polished, secure, and high-performance experience that millions of developers and end-users interact with every day.
This is an opportunity to solve complex distributed systems challenges at a global scale, whilst providing a delightful and secure experience for our customers. You will primarily work with our NodeJS backend (TypeScript/JavaScript), with data stored in MongoDB, PostgreSQL, and Redis, all running on a multi-cloud infrastructure (AWS and Azure). If you have a passion for simplifying complex problems, building resilient and secure software, and care deeply about the final "feel" of a product, we encourage you to apply. Experience with or an interest in Identity and Access Management is highly valued.
What you will do:
- Be a founding engineer of this new team in Bengaluru, setting the technical bar and engineering culture for our growing presence in the region and working in collaboration with our global teams in Europe and North America.
- Build and design innovative features that extend the capabilities of Auth0’s platform to help our customers innovate around the world securely and delightfully.
- Contribute to the strategic technical quality, security, reliability, and scalability of our systems, and advocate for engineering best practices.
- Thrive in a highly collaborative and cross-functional environment, working with talented engineers and partners across Product, Security, Design, Architecture and QA to deliver features that delight our customers and ensure a unified technical vision.
- Deepen or gain expertise in identity, security, and modern cloud technologies (AWS, Azure) while working on distributed systems at scale.
- Mentor and be mentored by other engineers and contribute to our culture of technical excellence and continuous improvement.
- Participate in an on-call rotation to ensure our critical services remain healthy and reliable.
What you will bring:
- 5+ years of professional software development experience, or equivalent.
- Proficiency in designing and building services with Node.js (JavaScript or TypeScript).
- Experience creating and maintaining public and secure APIs, as well as front ends.
- Experience designing, building, and operating distributed systems in a cloud environment (e.g., AWS, Azure).
- A strong commitment to quality, with experience in various testing strategies (e.g., unit, integration, end-to-end).
- A product-oriented mindset, with the ability to understand customer needs and work collaboratively to find effective solutions.
Nice to have:
- Experience in the Identity and Access Management (IAM) domain.
- Knowledge of security engineering principles and application security best practices.
What you can look forward to as an Okta employee!
- Amazing Benefits
- Making Social Impact
- Developing Talent and Fostering Connection + Community at Okta
Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/.
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/.
#P24605_3431654
#LI-Hybrid
The Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.
Ready to apply?
Apply to Okta
Senior Manager, Software Engineering
Share this job
Our Purpose
At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here.
About Us
SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters.
Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity.
What Are We Looking For?
We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Senior Software Engineering Manager with a strong technical background in building and architecting large-scale, multi-tenant SaaS platforms, you possess the leadership maturity to manage both individual contributors and other managers, effectively translating organizational strategy into clear, actionable team goals. You are specifically driven to manage and grow high-performing engineering teams within the SaaS platform organization in Bangalore. Your expertise includes deep proficiency in high-load distributed systems and a hands-on understanding of modern cloud-native infrastructures.
What You Will Do
Build and Grow Our Bangalore Agent Platform Team: Be the key leader for our Agent Platform engineering team in India. Own the hiring, management, and retention of a high-performing team, ensuring local growth aligns with our global SaaS platform objectives.
Lead Execution and Delivery: Drive the execution of team projects. Partner with individual contributors (ICs) to define tasks, track progress, and ensure timely, high-quality delivery. Manage cross-team dependencies and coordinate with stakeholders (Product Managers, senior leadership) to guarantee alignment and clear communication on status and risks.
Drive Technical Strategy: Oversee the architectural design and scalability for Agent Platform SaaS services. These services interact with millions of agents and process billions of daily requests. You will rely on designated Tech Leads and senior team members for detailed design and architecture.
Ensure Cross-Functional Success: Partner with the Agent Platform engineering leadership, Product Management, and UX designers to strategically define system requirements and deliver features that protect millions of endpoints worldwide.
Foster a World-Class Engineering Culture: Promote engineering excellence and continuous learning. Coach individuals and other managers to achieve their professional goals.
Engage with Leadership: Regularly interact with senior management and executives to influence decisions and gain acceptance for strategic initiatives.
Manage a Hybrid Team: Lead the local Bangalore team within our hybrid work model, fostering strong in-person collaboration and a powerful sense of belonging.
What Experience or Knowledge You Should Bring
Leadership Track Record: A minimum of 8 years of progressive software engineering experience, including 3–5 years of increasing managerial responsibility, with at least 2 years operating at the Manager level or higher.
Management & Development Expertise: Proven success in managing, hiring, mentoring, and developing high-performing engineering teams of 8+ direct reports, including experience managing internationally distributed and cross-functional IC teams.
Core Technical Skills: Strong proficiency and an ability to lead technical strategy in major programming languages such as Java, Go, or Python, coupled with a deep understanding of software design principles.
Distributed Systems & Cloud Scale: Deep background in architecting, building, and scaling high-load, resilient distributed systems within public cloud platforms like AWS or GCP.
Infrastructure & Observability: Solid hands-on and strategic experience with modern infrastructure tooling, including Docker, Kubernetes, Helm, and infrastructure-as-code (e.g., Terraform). Experience with modern monitoring and observability stacks is a strong plus.
Product Delivery & CI/CD: Comprehensive knowledge of the entire SaaS product development lifecycle. Expert-level understanding and application of modern CI/CD practices and tooling, such as Github Actions or ArgoCD, to drive engineering velocity and quality.
Strategic Communication & Business Acumen: Exceptional verbal and written communication, negotiation, and stakeholder management skills. Demonstrated ability to translate complex technical decisions into clear business outcomes and align engineering execution with broader company strategy.
Why SentinelOne?
AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.
We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:
- Flexible working hours and hybrid/remote work model.
- Flexible Time Off.
- Flexible Paid Sick Days.
- Global gender-neutral Parental Leave (16 weeks, beyond the leave provided by the local laws)
- Generous employee stock plan in the form of RSUs (restricted stock units)
- On top of RSUs, you can benefit from our attractive ESPP (employee stock purchase plan)
- Gym membership/sports gears by Cultfit.
- Wellness Coach app, with 3,000+ on-demand sessions, daily interactive classes, audiobooks, and unlimited private coaching.
- Private medical insurance plan for you and your family.
- Life Insurance covered by S1 (for employees)
- Telemedical app consultation (Practo)
- Global Employee Assistance Program (confidential counseling related to both personal and work life matters)
- High-end MacBook or Windows laptop.
- Home-office-setup allowances (one time) and maintenance allowance.
- Internet allowances.
- Provident Fund and Gratuity (as per govt clause)
- NPS contribution (Employee contribution)
- Half yearly bonus program depending on the individual and company performance.
- Above standard referral bonus as per policy.
- LinkedIn Business platform for Hard/Soft skills Training & Support for your further educational activities/trainings
- Sodexo food coupons.
SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
SentinelOne participates in the E-Verify Program for all U.S. based roles.
Ready to apply?
Apply to SentinelOne
Senior Partner / Channel Sales Engineer (SE)
Share this job
Our Purpose
At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here.
About Us
SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters.
Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity.
What Are We Looking For?
We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Partner/Channel Sales Engineer, you will scale the technical capabilities of SentinelOne’s partner ecosystem, empowering partner SEs to lead demos and POCs independently. You will drive partner readiness and opportunity conversion through hands-on workshops and cross-functional collaboration. Leveraging your cybersecurity and enablement expertise, you will ensure technical independence and high-impact partner performance.
What will you do?
- Partner Education and Technical Enabelment
- Qualify partner technical resources before investing in enablement, ensuring the right baseline skills and technical commitment.
- Own and maintain a structured enablement tracker for all partner SEs, including skill levels, certifications, and progression plans.
- Design, guide, and support partners in building Centers of Excellence (CoE) labs on the SentinelOne technology platform.
- Uplift partner SE demo capabilities, ensuring confident, end-to-end platform demonstrations mapped to real customer use cases (PSE should co-own with Account SE on complex customer-facing engagement).
- Enable partner SEs on core platform workflows, integrations, and operational best practices.
Engagement & Weekly Cadence
- Run weekly cadence calls with distributor SEs and Tier-1 partners covering:
- Product updates and roadmap highlights
- Partner-driven POCs tracking and deal progression
- Technical Challenges
- Lead recurring ThreatOps and “Tech Friday” enablement sessions for partner SEs across the region.
- Deliver hands-on technical workshops, deep dives, and use-case-driven sessions to continuously uplift partner capability.
Cross-Functional Collaboration & Coverage Management
- Work closely with Account Managers and Direct SEs to align the right partner SE resources to specific opportunities.
- Map and manage the technical resource chain across partner organizations to ensure clear ownership, accountability, and coverage.
- Ensure partner technical engagements align with SentinelOne Channel-focused partners, as defined by the Channel business manager and sales leaders.
- Provide structured feedback to internal teams on partner readiness, skill gaps, and enablement priorities.
Success Metrics
- Increased partner-led technical independence across demos, POCs,
- Improved quality, velocity, and conversion of partner-driven opportunities.
- Reduction in escalations caused by partner technical skill gaps.
- Measurable improvement in partner SE enablement scores and certification coverage.
- Strong partner satisfaction and trust in SentinelOne’s technical leadership.
What skills and knowledge should you bring?
- Strong hands-on experience in cybersecurity technologies such as endpoint security, XDR, cloud security, or SOC operations.
- Proven experience enabling or working with channel partners, distributors, or system integrators.
- Ability to translate complex technical concepts into clear, outcome-driven partner guidance.
- Excellent communication and facilitation skills for technical enablement sessions.
- Structured, disciplined approach to tracking enablement progress and partner readiness.
- Comfortable acting as a technical authority and escalation point.
- Builder mindset with a passion for scaling ecosystems.
- High ownership and accountability for partner success.
- Strong collaboration skills with sales, SEs, and partner leadership.
- Calm under pressure when handling escalations
- Bias for clarity, structure, and repeatable processes.
Why Us?
You will join a cutting-edge company, where you will tackle extraordinary challenges and work with the very best in the industry.
- Health Insurance
- Industry-leading gender-neutral parental leave
- Paid Company Holidays
- Paid Sick Time
- Employee stock purchase program
- Employee assistance program
- Gym membership reimbursement
- Wifi/Cell phone reimbursement
SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
SentinelOne participates in the E-Verify Program for all U.S. based roles.
Ready to apply?
Apply to SentinelOne
Senior Sales Operations Analyst
Share this job
Our Purpose
At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here.
About Us
SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters.
Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity.
What Are We Looking For?
We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As the Sales Operations Specialist at SentinelOne, you will play a critical role in optimizing how prospect and account data flows across our go-to-market systems. You will be responsible for designing, building, and maintaining scalable routing and data management processes that ensure records are accurately captured, matched, assigned, and maintained in Salesforce and LeanData.
This role requires strong technical expertise in LeanData and Salesforce, along with a deep understanding of data integrity, system integrations, and cross-functional operational alignment. The ideal candidate is detail-oriented, analytical, and passionate about building efficient, automated processes that improve data quality and drive operational excellence.
What will you do?
Primary responsibilities include:
- Design, build and maintain complex routing flows using LeanData’s FlowBuilder to ensure records are assigned accurately in real time
- Continuously refine routing logic to align with evolving go-to-market strategies and territory models
- Ensure data integrity across systems by managing matching rules, deduplication processes with the Data Governance team, and account alignment
- Utilize enrichment tools such as ZoomInfo and Dun & Bradstreet to enhance record completeness and for routing accuracy
- Monitor and resolve data discrepancies to maintain a clean and reliable CRM environment
- Partner with Sales, Marketing and Channel operation teams to translate go-to-market strategy into scalable routing workflows and automation
- Collaborate with CRM and marketing teams to ensure seamless data flow and system integrations
- Monitor routing performance and troubleshoot assignment failures and process gaps
- Identify bottlenecks or inefficiencies in system workflows and implement solutions that improve operational speed and accuracy
- Work closely with Sales and Revenue stakeholders to document business requirements and implement scalable solutions
- Continuously evaluate and improve routing framework, automation and data governance standards
- Serve as the primary point of contact for routing and data management inquiries in Jira
What skills and knowledge should you bring?
Ideal candidates will have:
- Bachelor degree preferred
- 5+ years in a business or sales operations role
- Excellent communicator both in-person and virtually
- Advanced experience with LeanData routing technology and Salesforce CRM
- Hands-on experience configuring complex routing logic within LeanData FlowBuilder (must have)
- Strong understanding of CRM data structures, account hierarchies, and territory models
- Experience with data enrichment platforms such as ZoomInfo and Dun & Bradstreet
- Proven ability to analyze complex datasets, identify process gaps, and implement scalable solutions
- Excellent communication skills with the ability to collaborate across Sales, Marketing, and Operations teams
- Results driven, self motivated and ability to multitask and problem solve
- Organized, with excellent attention to detail and work in a fast paced environment
Why SentinelOne?
AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.
We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:
- Employee stock purchase program and RSU
- Numerous company-sponsored events including regular happy hours and team-building events
- Flexible Time Off.
- Flexible Paid Sick Days.
- Global gender-neutral Parental Leave (16 weeks, beyond the leave provided by the local laws)
- Gym membership/sports gears by Cultfit.
- Wellness Coach app, with 3,000+ on-demand sessions, daily interactive classes, audiobooks, and unlimited private coaching.
- Private medical insurance plan for you and your family.
- Life Insurance covered by S1 (for employees)
- Telemedical app consultation (Practo)
- Global Employee Assistance Program (confidential counseling related to both personal and work life matters)
- High-end MacBook or Windows laptop.
- Home-office-setup allowances (one time) and maintenance allowance.
- Internet allowances.
- Provident Fund and Gratuity (as per govt clause)
- NPS contribution (Employee contribution)
- Half yearly bonus program depending on the individual and company performance.
- Above standard referral bonus as per policy.
- LinkedIn Business platform for Hard/Soft skills Training & Support for your further educational activities/trainings
- Sodexo food coupons.
SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
SentinelOne participates in the E-Verify Program for all U.S. based roles.
Ready to apply?
Apply to SentinelOne