Machine Learning Jobs in India.
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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 is the No. 1 TV streaming platform in the U.S., Canada, and Mexico with 70+ millions of active accounts. Roku pioneered streaming to the TV and continues to innovate and lead the industry. We believe Roku’s continued success relies on its investment in our machine learning/ML recommendation engine. Roku enables our users to access millions of contents including movies, episodes, news, sports, music and channels from all around the world.
About the role
We’re on a mission to build cutting-edge advertising technology that empowers businesses to run sustainable and highly-profitable campaigns. The Ad Performance team owns server technologies, data, and cloud services aimed at improving the ad experience. We're looking for seasoned engineers with a background in machine learning to aid in this mission. Examples of problems include improving ad relevance, inferring demographics, yield optimisation, and many more. Employees in this role are expected to apply knowledge of experimental methodologies, statistics, optimisation, probability theory, and machine learning using both general purpose software and statistical languages.
What you’ll be doing
- ML infrastructure: Help build a first-class machine learning platform from the ground up which manages the entire model lifecycle - feature engineering, model training, versioning, deployment, online serving/evaluation, and monitoring prediction quality.
- Data analysis and feature engineering: Apply your expertise to identify and generate features that can be leveraged by multiple use cases and models.
- Model training with batch and real-time prediction scenarios: Use machine learning and statistical modelling techniques such as Decision Trees, Logistic Regression, Neural Networks, Bayesian Analysis and others to develop and evaluate algorithms for improving product/system performance, quality, and accuracy.
- Production operations: Low-level systems debugging, performance measurement, and optimisation on large production clusters.
Collaboration with cross-functional teams: Partner with product managers, data scientists, and other engineers to deliver impactful solutions.
Staying ahead of the curve: Continuously learn and adapt to emerging technologies and industry trends.
We’re excited if you have
- Bachelors, Masters, or PhD in Computer Science, Statistics, or a related field.
- Experience in applied machine learning on real use cases (bonus points for ad tech-related use cases). Min 5 years of total experience.
- Great coding skills and strong software development experience (we use Spark, Python, Java).
- Familiarity with real-time evaluation of models with low latency constraints.
- Familiarity with distributed ML frameworks such as Spark-MLlib, TensorFlow, etc.
- Ability to work with large scale computing frameworks, data analysis systems, and modelling environments. Examples include Spark, Hive, NoSQL stores such as Aerospike and ScyllaDB.
- Ad tech background is a plus.
- AI growth mindset / AI Literacy
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, Machine Learning - Data Platforms
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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 reliable, privacy-safe, and scalable data foundation is critical to Roku’s rapidly growing advertising business. The Ad Data Activation organization builds the identity systems, device graph pipelines, audience platforms, insights tooling, and data collaboration capabilities that power targeting, measurement, and reporting across Roku Ads.
We are hiring a Senior Machine Learning Engineer to help drive intelligence across these systems. You will work at the intersection of large-scale data platforms, applied machine learning, and generative AI — building capabilities that make Roku's advertising data more actionable for internal teams and advertisers. This includes building core generative AI platform features for Roku Advertising, while also applying traditional ML techniques to improve accuracy, automation, and decisioning across the ecosystem. If you enjoy working across data, ML, and new Gen-AI patterns — and want to shape how intelligence shows up inside Roku Ads — this role is for you.
About the role
In this role, you will design, build, and productionize intelligent capabilities that combine agentic Gen-AI systems with conventional ML pipelines across identity resolution, audience modeling, attribution, and optimization workflows. You will work with massive datasets, develop pipelines that transform raw signals into actionable features, and partner closely with product, data science, and platform teams.
What you will be doing
- Develop scalable and effective ML models and data pipelines to power identity, graph enrichment, audience segmentation, and campaign performance intelligence
- Design and run experiments, measure impact, and translate results into product decisions and customer outcomes
- Build and productionize agentic, generative-AI features — including reporting and insights agents, campaign-monitoring agents (with human-in-the-loop controls), and a semantic layer for reliable, natural-language analytics
- Improve automation, reliability, and scalability across model training, feature engineering, deployment, and monitoring frameworks
- Work closely with software and ML engineers to deliver end-to-end solutions from data ingestion through downstream systems
- Partner with senior stakeholders to shape ML and Gen-AI strategy for Ad Data Activation — identifying the right problems for AI, ensuring safety, and driving advertiser productivity.
We’re excited if you have
- 5+ years of experience applying ML or data science to real business problems at scale
- Master’s degree (or higher) and 4+ years of experience in CS, CE, ML, or a related field
- Strong CS fundamentals and ability to design efficient algorithms and production systems
- Experience with ML approaches used in large-scale data problems (e.g., regression, classification, tree-based methods, embeddings, sequence models, or basic NLP)
- Strong intuition for defining KPIs, objective functions, and evaluation frameworks for ML-driven systems
PREFERRED QUALIFICATIONS
- Knowledge of programming languages such as Python, Scala/Java, C/C++, or similar
- Experience working with large-scale data platforms (Spark, Presto/Trino, feature stores, data lakes, etc.)
- Experience building or integrating with LLM/Gen-AI pipelines (prompting, evaluation, retrieval, safety) is a plus
- Prior publications, patents, or open-source contributions are a plus
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
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Design and build APIs and backend services using Spring Boot to support data products and audience management workflows.
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Write clean, maintainable, and efficient code, ensuring adherence to best practices through code reviews.
Big Data Engineering
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Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow.
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Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance.
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Develop and fine-tune complex queries using Apache Spark for large-scale datasets.
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Monitor, troubleshoot, and improve data systems to minimize downtime and maximize efficiency.
API and Platform Development
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Design, Development, and maintain large scale, low latency API systems using SpringBoot and Kubernetes
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Maintain NoSQL Infrastructure including ScyllaDB and Aerospike
Collaboration & Mentorship
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Partner with the machine learning team, software engineers, and other teams to deliver integrated, high-quality solutions.
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Provide technical guidance and mentorship to junior engineers, promoting best practices in software and data engineering.
We’re Excited If You Have
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Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience).
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8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark, Apache Airflow.
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Expertise in developing low latency APIs
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Strong understanding of SOLID principles and distributed systems architecture.
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Proven experience in distributed data processing, data warehousing, and real-time data pipelines.
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Advanced SQL skills, with expertise in query optimization for large datasets.
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Exceptional problem-solving abilities and the capacity to work independently or collaboratively.
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Excellent verbal and written communication skills.
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Experience with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes. (preferred)
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Experience in AdTech, in advertising data platforms and audience management. (preferred)
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Strong programming skills in Python, Java, and/or Scala. (preferred)
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Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code tools (e.g., Jenkins & Terraform). (preferred)
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Expertise in developing low latency APIs
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Experience with building Agentic AI systems to automate decision-making and enhance analytics workflows. (preferred)
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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
The Content Platform & Intelligence team builds the pipelines, tooling, and intelligence that power Roku’s global Sports, Live, and VOD experiences. We ingest and enrich partner catalogs at scale, ensure rights-accurate availability, and feed core platform experiences like Search, Browse, and Recommendations. We obsess over metadata quality, reliability, and performance so viewers can seamlessly discover and watch what they love.
About the Role
We’re seeking a Senior Product Manager to scale how Roku onboards and operates Premium Subscription partners. You will own the product strategy and execution for onboarding VOD, Live, and Sports content at scale; keeping content rights, volumes, and performance at the center. You’ll partner closely with Subscriptions, Metadata Platform, Sports & Live product teams, Content Operations, Partnerships, and Engineering to deliver high-quality integrations that power monetisation, discovery, and delightful viewer experiences.
What You’ll Do
- Own the roadmap for onboarding new Premium Subscription partners covering VOD, Live, and Sports.
- Collaborate with metadata providers to enhance Live & Sports coverage: schedules, fixtures, teams/players, scores, artwork, league hierarchies.
- Partner with the Content Platform team to ingest, normalise, and store content intelligence that drives Search and Recommendations.
- Model regional rights, windows, blackout rules, entitlements, and service-level policies to ensure the right content shows up for the right users.
- Build internal tools and workflows that minimise manual merchandising and ops, especially for new markets and complex sports/live schedules.
We’re Excited If You Have
- 7+ years of Product Management experience in platform/backend or content systems; streaming/media experience strongly preferred.
- Proven track record building scalable ingestion/onboarding platforms, catalog systems, or developer ecosystems.
- Experience with VOD/Live/Sports pipelines, content rights and availability modelling, and internationalisation.
- Experience partnering with ML/AI teams on metadata quality, enrichment, ranking, or recommendations; comfortable with experimentation at scale.
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
Role: Sr, Software Engineer
Location: Hyderabad, India (Hybrid)
Department: Product Engineering
Reports to: Manager, Software Engineering
About GHX:
GHX (Global Healthcare Exchange) is a leading healthcare technology company on a mission to simplify the business of healthcare and improve patient outcomes. Founded in 2000, GHX has built the GHX Global Network — the world’s largest cloud-based supply chain community connecting healthcare providers, suppliers, distributors, and partners to automate key processes, reduce costs, and increase operational efficiency. Its solutions span electronic trading, procurement automation, inventory and contract management, business intelligence, and data synchronization, helping healthcare organizations improve productivity and focus more on patient care. Over the years, GHX has enabled significant cost savings for the industry and continues to innovate with intelligent automation and AI-driven capabilities.
Website: https://www.ghx.com/
LinkedIn: https://www.linkedin.com/company/ghx/
About the Role
GHX is seeking a Sr Software Engineer with deep technical expertise and a proven track record in designing, developing, and delivering high-quality, scalable software solutions. The Senior Software Engineer will play a pivotal role in the development of technological solutions, contributing to both existing and next-generation applications. The ideal candidate will be proficient in Java and Spring framework, skilled in software design patterns, experienced with AWS cloud services, and adept in CI/CD pipelines, with a passion for leading innovative projects in a collaborative environment.
Duties and Responsibilities
- Develop scalable, secure, and maintainable software systems that align with business needs, creating flexible, reusable, and efficient solutions.
- Maintain a deep understanding of software subsystems, their components, interfaces, and data integrations to ensure seamless functionality and scalability.
- Perform branching updates on the Git repository along with CI/CD responsibilities.
- Collaborate proactively with cross-functional teams to address technical dependencies, review ideas and concerns, and deliver high-quality products.
- Identify root causes of challenges, analyze upstream and downstream impacts, and recommend impactful, broad-reaching solutions while considering corporate strategy and trade-offs.
- Establish and guide best practices for design, development, testing, and Agile workflows, mentoring team members and fostering a collaborative environment.
- Build and maintain strong business relationships to influence decision-making and drive innovative solutions across teams.
Qualifications
- 5+ years of experience in software development.
- BS degree in Computer Science.
- Experience designing and implementing technological solutions using Java and its frameworks (e.g., Spring, Hibernate).
- Proficiency in AWS technologies including EC2, SNS, SQS, S3, SES, Elasticsearch Service, Lambda, etc.
- Expertise in databases such as MongoDB, Elasticsearch, and MySQL.
- Familiarity with front-end technologies such as HTML, CSS, JavaScript, Angular, and TypeScript.
- In-depth knowledge and experience implementing RESTful APIs and web services.
- Experience with Rules Engine and/or event-driven architecture.
- Exposure to design best practices including performance, scalability, robustness, and resiliency.
- Prior experience working in Agile/Scrum environments.
- Ability to work independently and as part of a team on multiple overlapping projects.
- Proven track record of successfully delivering large, complex, cross-functional projects.
- Strong problem-solving, analytical, and communication skills.
Knowledge, Skills, and Abilities
- Develops and implements innovative solutions that challenge the status quo and drive process improvement.
- Communicates complex technical concepts effectively to diverse audiences, including technical and non-technical teams.
- Demonstrates a strong understanding of system-wide impacts and interdependencies across products, teams, and the organization.
- Addresses internal and external customer needs effectively, with the ability to interact directly with customers.
- Ability to work collaboratively in a global team environment.
- Adapts to changing conditions with flexibility and leads others through transitions with clarity and confidence.
- Leads by example, fostering teamwork, trust, and a shared purpose while promoting success and strategic thinking.
- Experience in healthcare or invoicing domains is an added advantage.
- Experience using AI coding tools and AI agents is an advantage, including Python and machine learning experience.
GHX: It's the way you do business in healthcare
Global Healthcare Exchange (GHX) enables better patient care and billions in savings for the healthcare community by maximizing automation, efficiency and accuracy of business processes.
GHX is a healthcare business and data automation company, empowering healthcare organizations to enable better patient care and maximize industry savings using our world class cloud-based supply chain technology exchange platform, solutions, analytics and services. We bring together healthcare providers and manufacturers and distributors in North America and Europe - who rely on smart, secure healthcare-focused technology and comprehensive data to automate their business processes and make more informed decisions.
It is our passion and vision for a more operationally efficient healthcare supply chain, helping organizations reduce - not shift - the cost of doing business, paving the way to delivering patient care more effectively. Together we take more than a billion dollars out of the cost of delivering healthcare every year. GHX is privately owned, operates in the United States, Canada and Europe, and employs more than 1000 people worldwide. Our corporate headquarters is in Colorado, with additional offices in Europe.
Disclaimer
Global Healthcare Exchange, LLC and its North American subsidiaries (collectively, “GHX”) provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, national origin, sex, sexual orientation, gender identity, religion, age, genetic information, disability, veteran status or any other status protected by applicable law. All qualified applicants will receive consideration for employment without regard to any status protected by applicable law. This EEO policy applies to all terms, conditions, and privileges of employment, including hiring, training and development, promotion, transfer, compensation, benefits, educational assistance, termination, layoffs, social and recreational programs, and retirement.GHX believes that employees should be provided with a working environment which enables each employee to be productive and to work to the best of his or her ability. We do not condone or tolerate an atmosphere of intimidation or harassment based on race, color, national origin, sex, sexual orientation, gender identity, religion, age, genetic information, disability, veteran status or any other status protected by applicable law. GHX expects and requires the cooperation of all employees in maintaining a discrimination and harassment-free atmosphere. Improper interference with the ability of GHX’s employees to perform their expected job duties is absolutely not tolerated.
Read our GHX Privacy Policy
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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
The Principal Applied AI Engineer will lead the development of internal AI capabilities that empower teams across Poppulo to work faster, smarter, and securely. This role partners with business leaders, engineers, and IT teams to identify high-value opportunities for AI and translate them into practical solutions including GPT assistants, AI agents, and automated workflows while protecting company data, customer trust, and regulatory compliance.
Reporting to the Chief Information Security Officer, this position focuses on driving internal AI innovation effectively and safely across the organization.
The ideal candidate combines strong AI skills & security engineering with a passion for turning cutting-edge AI capabilities into real outcomes.
Primary Responsibilities
- Define the technical direction and implementation standards for internal AI solutions, ensuring consistent, secure, and scalable adoption across teams.
- Provide technical leadership across internal AI initiatives by evaluating solution approaches, guiding technical decisions, and balancing business value, feasibility, and risk.
- Lead the design and deployment of internal AI solutions such as GPT assistants, AI agents, integrations, and automated workflows.
- Implement technical controls, monitoring, and safeguards for AI-enabled systems.
- Develop integrations between AI systems and enterprise platforms including internal tools, knowledge bases, and business applications.
- Partner with business teams to identify and deliver AI solutions that improve productivity and operational efficiency.
- Work with Security, Privacy, and Legal teams to ensure AI solutions align with internal policies, compliance requirements, and regulatory standards.
- Collaborate with IT, Engineering, and DevOps teams to ensure AI solutions are reliable, secure, and scalable.
Leadership Responsibilities
Although this role is an individual contributor, the Principal Applied AI Engineer will:
- Be a technical advisor to the CISO and business leaders on AI capabilities and risks.
- Encourage experimentation and innovation while ensuring AI solutions are deployed with appropriate safeguards.
- Foster cross-functional collaboration between IT, Security, Engineering, Product Development, and business units.
Qualifications
- 8+ years of experience in AI engineering, or machine learning engineering.
- Hands-on experience designing and implementing AI security controls and guardrails, including mitigation of prompt injection, data exfiltration risks, output validation, monitoring and access control for AI systems.
- Experience designing and deploying AI assistants, GPT-based tools, or agent-driven workflows integrated with enterprise systems or internal data.
- Strong experience securing and integrating APIs, MCP, automation frameworks, and enterprise systems.
- Experience working with AI model platforms or APIs such as OpenAI, Anthropic, AWS Bedrock, Azure OpenAI, or similar technologies.
- Experience building systems within cloud environments (AWS, Azure, or GCP).
- Ability to translate business requirements into scalable AI solutions while considering speed, security, reliability, and enterprise operational needs.
Who We Are
We are a values-driven organization that encourages our employees to bring their authentic selves to work every day and empowers everyone to make a tangible impact on our products, clients, and culture. We offer a dynamic environment with driven, fun, and flexible individuals who thrive on challenge and responsibility. This is an opportunity to contribute to our culture and join a company that’s on the move.
We live the Poppulo values each day, as they are key to everything we do.
- Bring Your Best Self
We show up authentically, are self-aware and always strive to be better. - See it. Own it. Solve it.
We proactively innovate and solve for our customers and each other. We set an example with high standards for our work. We foster a culture of learning, acknowledging our successes and our failures. - Together We’re Better
We value and celebrate our diversity. We learn from others, respecting their expertise, and focus on building trust. That's what makes us a team.
Named a Great Place to Work in 2015, 2016, 2017, 2018, 2019, 2020, and 2021, we are a fast-growing global technology company, with offices in Ireland, the US, the UK and India.
Poppulo is an equal opportunity employer.
We are committed to protecting your privacy. For details on how we collect, use, and protect your personal information, please refer to our Job Applicant Privacy Policy.
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Director, AI Data Operations
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About AiDASH
AiDASH is an enterprise AI company and the leading provider of vegetation risk intelligence for electric utilities. Powered by proprietary VegetationAI™ technology, AiDASH delivers a unified remote grid inspection and monitoring platform that uses a SatelliteFirst approach to identify and address vegetation and other threats to the grid. With a prevention-first strategy to mitigate wildfire risk and minimize storm impacts, AiDASH helps more than 140 utilities reduce costs, improve reliability, and lower liability across their networks. AiDASH exists to safeguard critical utility infrastructure and secure the future of humanAIty™. Learn more at www.aidash.com.
We are a Series C growth company backed by leading investors, including Shell Ventures, National Grid Partners, G2 Venture Partners, Duke Energy, Edison International, Lightrock, Marubeni, among others. We have been recognized by Forbes two years in a row as one of “America’s Best Startup Employers.” We are also proud to be one of the few software companies in Time Magazine’s “America’s Top GreenTech Companies 2024”. Deloitte Technology Fast 500™ recently ranked us at No. 12 among San Francisco Bay Area companies, and No. 59 overall in their selection of the top 500 for 2024.
Join us in Securing Tomorrow!
The Role
As Director, AI Data Operations, you will own the people and operational backbone of a 50+ person team that powers data operations for AiDASH’s proprietary models — across model quality control for customer deliveries, training data generation for AI models, and multi-modal imagery sourcing. The team’s work directly determines the quality of our models, the rate at which our models improve, and what we ship to customers.
Reporting directly to VP, Product & Process Excellence; you will lead this team through a major transformation — from manual operations to AI-augmented operations — while raising the bar on quality, ownership, and execution. You will thrive in this role if you have run annotation pipelines, training data workflows, or model quality control operations, ideally in an AI product company — and you are ready to bring that experience to a domain where the stakes are high and the work has real-world consequences.
How you'll make an impact:
- Lead, inspire, and scale a 50+ person team — establishing clear accountability, operational discipline, and a high-ownership culture
- Drive operations against defined quality benchmarks and efficiency targets (e.g. QC accuracy, delivery turnaround time, on-time delivery, throughput, and cost efficiency)
- Drive image sourcing strategy — keeping abreast of industry trends, finding new vendors, managing commercial relationships, and managing image acquisition
- Drive an AI-first transformation of the function — pilot and embed AI agents / LLMs, and modern tooling that fundamentally shifts how the work gets done
- Build and implement repeatable processes, playbooks, and staffing strategies to ensure the organization runs efficiently in an AI-first manner
- Develop and retain top operational talent
- Collaborate & partner globally with with India and US based R&D teams— data science, platform engineering, product management — and with Customer Success teams to align operations with model training needs and customer commitments
What we're looking for:
- A senior operations leader (12+ years, 5+ managing 50+ headcount) who has built and run quality-critical operations at scale, preferably with experience of annotation/ML data ops
- Manager-of-managers credentials, with credibility across technical, product, and senior leadership
- Passionate about driving operational excellence and using AI to reshape work; hands-on experience leading AI-led transformations, even if smaller-scale or in progress. We care about your conviction, AI fluency, and pattern recognition. This is a core requirement for the role
- A track record of building high-ownership cultures in operational functions
- A high-quality bar and strong operating discipline — metrics, SLAs, and rhythms are how you run
Good to have
- Background in GIS, remote sensing, satellite imagery, or geospatial data
- Experience with annotation operations or imagery and data vendor procurement
What you'll love:
- Leading one of the largest and strategically important teams at AiDASH
- A real mandate to transform an operational function with AI
- Working alongside high-caliber peers who value ownership, low ego, and measurable impact
What This Role Is Not
- ❌ A data engineering or analytics role — you won't be building data platforms, dashboards, or BI pipelines; you'll be running the operations – people, process, vendors - that determine the quality of our AI models
- ❌ A digital transformation consulting role — this isn't a strategy-and-handoff engagement; you'll own execution and be accountable for what ships to customers
- ❌ A program management role — you won't be tracking milestones and sending status updates; you'll be setting the bar for quality and driving the team to hit it
- ❌ A senior individual contributor role — you'll lead a 50+ person team through significant change; what matters most isn't what you can do yourself, but what you can get a team to do together.
In Summary
This role is about people leadership, operational excellence, and leading the AI transformation of a function where precision, ownership, and quality are everything. If you love running great teams, setting a high bar, and are excited to use AI to reshape how operational work gets done, this is your role. One requirement: you've worked close to the model — in annotation pipelines, training data workflows, or quality operations — rather than in data analytics, BI, or IT services delivery.
We are proud to be an equal-opportunity employer. We are committed to embracing diversity and inclusion in our hiring practices, and we promote a work environment where everyone, from any race, color, religion, sex, sexual orientation, gender identity, or national origin, can do their best work.
Read our Privacy Policy here: https://www.aidash.com/policy/privacy-policy/
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Apply to AiDASH, Inc.
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 Organization
Stripe Infrastructure is responsible for the reliability, scale, performance, and cost of Stripe’s systems and the productivity and sentiment of Stripe’s people. You may work on a wide variety of critical business areas including:
- Core Infrastructure: We’re the home for Stripe's critical tier 0 infrastructure systems (Compute, Networking, DocumentDB, Distributed Caching and High assurance engineering). We build the foundational platform for Stripe products and services to allow them to operate at scale. We drive reliability, availability, efficiency and scalability of these systems.
- Developer Infrastructure: We’re responsible for the productivity of all developers at Stripe. Ensure Stripe’s engineers have a reliable, fast, and easy-to-use inner dev loop to maximize productivity while building everything from low-latency microservices to large-scale data pipelines and machine learning models.
- Security : We’re a newly formed security team tasked with building the guardrails to extend Stripe’s secure platform, allowing engineers to leverage new technologies that best meet their needs. We work on enabling new technologies for product and platform teams, prioritizing on business needs as well as building the tooling and controls that further enables self-serve, guaranteeing a high bar is maintained across all Stripe surfaces with security in-built into foundations.
- Application and Revenue Platform: Building the powerful and scalable infrastructure that powers the company’s innovative application offerings and supports the seamless processing and management of Stripe’s global transaction volumes.
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’re looking for Software Engineers who are interested in building software services and platforms that impact thousands of employees and millions of Stripe users, regardless of whether they’re an end user, developer, or partner. You will work on projects that span technologies, systems, and processes where you will design, build, test, and ship great code every day.
Responsibilities
- Build a great customer experience for internal and external Stripe teams using our infrastructure
- Participate in roadmap planning and prioritization
- Deliver value through a strong collaborative approach with multiple customers and stakeholders across Stripe
- Debug production issues across services and several levels of the stack
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
- 6-12+ years of industry software engineering experience (does not include internships or co-ops)
- Ability to write well-factored algorithms and have experience with commonly used data structures and algorithms
- Hands-on experience contributing to or building large scale distributed systems
- Strong coding skills in any programming language (we understand new languages can be learned on the job so our interview process is language agnostic)
- Strong collaboration skills, can work across workstreams within your team and contribute to your peers’ success
- Have the ability to thrive on a high level of autonomy, responsibility, and think of yourself as entrepreneurial
- Interest in working as a generalist across varying technologies and stacks to solve problems and delight both internal and external users
Preferred Qualifications
- Experience optimizing the end to end performance of distributed systems
- Focuses on the needs of our users, both internal and external
- Hold yourself and others to a high bar when working with production
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
The Big Data Infrastructure operates the critical infrastructure that powers the batch data processing at Stripe. The team supports a variety of use cases, including Payment, Ledger, ML, Fraud Detection, Product Analytics, Regulatory Reporting, Financial Data Reconciliation, and externally facing products like Radar and Sigma. As an example of the scale, the team’s systems serve hundreds of teams, thousands of workflows, 100,000+ task executions, O(billion) transformations, and moving terabytes of data processing over 1 GB/second every day. Our users inside Stripe include other engineering teams, Data Scientists, Sales & Operations, Finance, etc.
Data Orchestration builds and operates the time-based and event-based orchestration infrastructure that powers and accelerates batch data pipelines. The team operates on a wide range of tech stacks including Airflow, Spark, SQL, Kafka, Flink, Hive MetaStore, Trino, Pinot, Python, Java, Scala, S3, and Iceberg.
What you’ll do
As a Software Engineer on our team, you will do the following:
- Design, build, and maintain innovative next-generation or first-generation versions of key Data Platform products, with an emphasis on usability, reliability, security, and efficiency.
- Design ergonomic APIs and abstractions that build a great customer experience for internal Stripes, that will in turn enhance the experience of millions of Stripe users.
- Ensure operational excellence and enable a highly available & reliable Data Orchestration platform across batch workloads.
- Collaborate nimbly with high-visibility teams and their stakeholders to support their key initiatives - while building a robust platform that benefits all of Stripe in the long term.
- Plan for the growth of Stripe’s infrastructure by unblocking, supporting, and communicating proactively with internal partners to achieve results. ● Connect your work with improvements in the usability and reliability of Open Source Software (OSS) like Apache Airflow, Iceberg, Spark and contribute back to the OSS community.
Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- 8+ years of professional experience writing high quality production level code or software programs and interest in Data Infrastructure.
- Has experience operating or enabling large-scale, high-availability data pipelines from design, to execution and safe change management. Expertise in Spark, Flink, Spark, Airflow, Python, Java, SQL, and API design is a plus.
- Has experience developing, maintaining, and debugging distributed systems built with open source tools
- Has experience building infrastructure-as-a-product with a strong focus on users needs
- Has strong collaboration and communication skills, and can comfortably interact with both technical and non-technical participants.
- Has the curiosity to continuously learn about new technologies and business processes.
- Is energized by delivering effective, user-first solutions through creative problem-solving and collaboration.
Preferred qualifications
- Has experience writing production-level code in Expertise in Scala, Spark, Flink, Spark, Airflow, Python, Java, and SQL is a plus.
- Has experience designing APIs or building developer platforms ● Has experience optimizing the end to end performance of distributed systems ● Has experience with scaling distributed systems in a rapidly moving environment ● Has experience working with Airflow Infrastructure.
- Genuine enjoyment of innovation and a deep interest in understanding how things work
Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.
Office location - Bengaluru , KA, India
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 Organization
Our mission is to enable effective financial decisions through reliable data, increased efficiency and automation. We support Marketing, Sales, Seller, Accounting, Tax, Finance & Strategy (F&S), Finance Operations (FinOps) and Treasury functions across Automation, Data insights and process improvements.
You may work on a wide variety of critical business areas including:
Seller Systems: Responsible for building the systems and tooling that make Stripe’s sellers and internal revenue teams dramatically more productive and effective. We partner with Sales, Finance, Legal, and Product to deliver a single “plane of glass” selling experience that spans deal creation and modeling, negotiation and approvals, contracting, onboarding, and activation. The Seller Systems team composes first‑party, custom Stripe components with best‑in‑class third‑party business systems to deliver configurable, auditable, and globally scalable workflows. Engineers on Seller Systems build services, APIs, integrations, data pipelines, and internal UIs that power seller productivity, reduce time‑to‑activation, improve deal velocity, and enable AI‑driven assistive workflows. Use cases include deal modeling and pricing engines, approval and orchestration platforms, CLM/CPQ integrations, onboarding automation, seller analytics, and AI‑assisted seller tooling.
Finance Engineering: Responsible for building the robust and scalable infrastructure that powers the company's core financial operations, including payments processing, fund settlement, accounting, and business intelligence. The Finance Engineering team is at the core of Stripe to empower mission-critical financial domains including Accounting, Finance operations, Finance & Strategy, and Treasury. Engineers on the Financial Engineering team build platforms, data pipelines, and financial products for the Finance team. The use cases include financial analytics and insights, accounting automation, auditing, financial planning & forecasting, and financial business intelligence.
Marketing/Sales Systems: Responsible for building the most measurable, cross-channel messaging capability possible, to attract and engage customers. We will do this through scalable motions, with the most relevant messaging and increasing reach of our marketing motions. We are a cross functional team of engineers, analysts, marketers, and product managers that deliver the insights, internal systems and tools that fuel Stripe’s growth.
As part of the Marketing Systems team, you will own systems that power go-to-market motions productizing gathered insights and intelligence. This includes building tools that 1/ power better digital experiences, 2/ accelerate customer journey with intelligent orchestrations 3/ drive smarter decisions with CDP 4/ improve marketer and seller productivity.
What you’ll do
We’re looking for Software Engineers who want to make an impact on managing money at a global scale with a passion for building ergonomic APIs. You’ll play a key role in extending our balance management platform and in building out a new funds accessibility platform leveraged by enterprises and SMBs alike. Our team collaborates with many cross-functional teams – from Infrastructure to Product – at Stripe to deliver innovative solutions that address evolving user needs.
Responsibilities
- Design, build, and maintain beautiful, robust, and high-performance APIs and services
- Ensure our infrastructure is extensible, scalable, reliable, and meets SLAs for both external and internal users
- Hide complexity from our users behind simple yet powerful abstractions
- Partner closely with other engineers, analysts and scientists to build highly scalable system(s), to deliver delightful developer experiences and comprehensive interfaces
- Build the APIs that power internal stakeholder facing UI experiences, defining composable data models and durable interfaces.
- Debug production issues across services and multiple levels of the stack with an eye towards improving maintainability over the long term.
- Improve engineering standards, tooling, and processes.
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
- 7-12 years of experience designing, implementing, and operating large-scale, high-performance APIs and services
- You have implemented server-side APIs in dynamic languages like Ruby, working with document and relational datastores (especially Mongo and MySQL).
- You enjoy spelunking through new datasets (especially in systems like Redshift or Presto/Trino).
- Empathetic, collaborative, and user-first mindset in everything you build
- Experience proactively seeking feedback from users, teammates, and subject matter experts
- The skills to build holistically – from specs and documentation to implementation, testing, deployment, and measuring impact
- The ability to balance speed, complexity, and scope in service of user needs
- You have excellent oral and written communication.
Preferred Qualifications
- Experience with large-scale financial tracking systems
- Good understanding and practical knowledge in cloud based services (e.g. gRPC, GraphQL, Docker/Kubernetes, cloud services such as AWS, etc.)
- Experience in marketing domain building products that contribute to marketing tech stack.
- Experience with machine learning, recommender systems, product-led growth, and/or lifecycle marketing.
- Prior experience building distributed systems or a microservices architecture
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
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
The Support Experience engineering organization builds and improves Stripe’s user support from end to end: how users get help within our products, how they get in touch with us when they have questions, and how our teams use internal tools to answer those questions. We’re accountable for the quality and reliability of this support stack and we use data and firsthand experience to continuously improve it.
Providing great support to users of all sizes is culturally important to everyone at Stripe. We partner closely with Stripe’s design, product, and operational teams across a wide surface area: the external-facing support interfaces (https://support.stripe.com/), self-serve content, entry points, internal tooling, case routing, and helping product teams across the company reduce support volume by improving our products. We are also using the latest generative AI technologies to re-imagine support experiences, and are developing AI assistants for Stripe’s users and to help our operations teams be more productive.
What you’ll do
You’ll lead and grow an established, high-performing engineering team within the Support Experience organization. Your job is to start with what’s been built and make it better: grow the team, elevate the technical bar, and expand the team’s impact across Stripe.
In this role, your team will build support experiences for priority user segments, solving problems such as how platforms, enterprises, and consumer users get help from Stripe. This includes implementing new API endpoints for use across multiple products, data engineering to improve our support operations with real-time insights, or building AI-enabled product experiences designed for each segment’s unique needs. You’ll lead your team to use the best tools for each job, whether that means experimental machine learning applications or proven techniques for building scalable distributed systems.
Responsibilities
- Hire, lead, and manage a team of talented engineers, providing mentorship, guidance, and support to ensure their success.
- Collaborate with cross-functional stakeholders, including product managers and designers, to understand customer needs and translate them into technical solutions.
- Define the technical vision and roadmap for the suite of products managed by the team, aligning it with business objectives and industry best practices.
- Drive the execution of projects, overseeing the entire development lifecycle from planning to delivery, while maintaining high standards of quality and timely completion.
- Foster a collaborative and inclusive work environment, promoting innovation, knowledge sharing, and continuous improvement within the team.
- Stay up-to-date with emerging technologies, industry trends, and advancements in AI and customer experience practices to identify opportunities for improvement and innovation.
- Communicate effectively with stakeholders, providing regular updates on project status, progress, and any potential risks or challenges.
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
- 3+ years of experience managing teams that build and operate full-stack web applications at scale, and 10+ years of overall industry experience
- A passion for supporting both external users and internal customers
- Successfully recruited and built great teams
- The ability to thrive with a high level of autonomy and responsibility
- The desire to encourage a healthy, inclusive work environment that’s both supportive and challenging
- Clear and persuasive writing and in-person communication
Preferred qualifications
- You have experience designing, deploying, and owning Agentic LLM solutions (e.g., multi-step orchestrators, tool use/function calling) specifically for complex customer support or internal workflow automation.
- You are comfortable planning in quarters, and can set a vision for several years
- You are excited about collaborating with teammates across Stripe’s organization to provide a wonderful support experience to users
- You are comfortable working with geographically distributed teams
- Experience managing multiple engineering teams
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
Our Sales systems team is on a mission to build the most measurable, scalable agentic tools as well as transform seller tooling. As part of the Sales Systems team, you will lead a high-impact team building the systems that power prospecting workflows across our go-to-market motion. You’ll own the technical direction and delivery for tools and integrations that enable timely, personalized outreach, scalable list generation, accurate lead routing, and measurable pipeline creation. This role sits at the intersection of engineering, RevOps, Sales, Marketing, and Data — you’ll translate GTM priorities into reliable systems that materially increase SDR/BDR productivity and conversion.
What you’ll do
Responsibilities
- Work closely with product, program and business leaders to develop a long term vision and execute on sales systems strategy that scales seller motions.
- Adapt prioritization and staffing decisions as the team, business, and user demands progress
- Design and build delightful Stripe facing tooling and business critical services to support sales channel infrastructure.
- Ensure our infrastructure is extensible, scalable, reliable, and meets SLAs for both external and internal users
- Improve engineering standards, tooling, and processes.
- Build, lead, and manage a high-performing team of engineers.
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
- Have 8+ years of software engineering, including at least 1+ years of management experience
- Organizational leadership experience, including experience collaborating with executive leadership
- Experience proactively seeking feedback from users, business leaders, and subject matter experts
- Excellent verbal and written communication
- Support the engineering team in achieving a high level of technical quality, reliability, and ease-of-use
- Manage processes to help the team do its best work and engage effectively with the rest of Stripe
- Recruit great engineers, in collaboration with Stripe’s recruiting team
- Develop engineers on the team, helping them advance in their careers
- Contribute to engineering-wide initiatives as a member of Stripe’s engineering management team
- Collaborate with stakeholders across engineering to provide a wonderful user experience
Preferred qualifications
- Experience in GTM domain owning seller automation platforms (like Salesforce) and other products that contribute to seller tech stack.
- Experience with machine learning, recommender systems, lead to opportunity workflows and/or seller systems.
- Experience developing/shaping internally and externally facing products
- Experience building distributed systems or a microservices architecture
- Bachelors or Masters degree in a technical field (e.g., Computer Science)
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
At Hudl, we build great teams. We hire the best of the best to ensure you’re working with people you can constantly learn from. You’re trusted to get your work done your way while testing the limits of what’s possible and what’s next. We work hard to provide a culture where everyone feels supported, and our employees feel it—their votes helped us become one of Newsweek's Top 100 Global Most Loved Workplaces.
We think of ourselves as the team behind the team, supporting the lifelong impact sports can have: the lessons in teamwork and dedication; the influence of inspiring coaches; and the opportunities to reach new heights. That’s why we help teams from all over the world see their game differently. Our products make it easier for coaches and athletes at any level to capture video, analyze data, share highlights and more.
Ready to join us?
Your Role
We’re looking for an Engineering Manager to join our first product teams in Mumbai. You’ll be improving the operations of our internal team of sports analysts across Hudl Assist, Wyscout, InStat and Volleymetrics products. These products are used by thousands of teams around the world, from youth clubs to the pros.
Example projects might include:
- Improving the tools used to deliver training to sports analysts
- Instrumenting our processes to facilitate continuous improvement for our operations team
- Iterating on manual data collection workflows to improve speed and accuracy
- Automating workflows using AI/ML, reducing manual effort, and improving scalability of our data pipelines
As an Engineering Manager, you’ll
- Be responsible for a diverse team. You’ll support your Engineers as they develop, test and maintain technical solutions. You’ll be a working manager, expected to balance management responsibilities with code contributions to ensure the team meets its commitments and delivers business impact.
- Work with a cross-functional team. You’ll collaborate with Engineering, Quality Assurance, Product, Design and Scrum disciplines to deliver product improvements for our customers. With our global team, these team members and stakeholders are located all over the world—so you may need to work evenings occasionally.
- Help improve analysis. You’ll work to improve training tools, processes and manual data collection workflows used by our sports analysts to improve their speed and accuracy.
- Automation & AI/ML. You’ll also play a key role in evolving our workflows through automation and AI/ML, helping reduce manual effort and improve scalability across our operations"
This role requires 4 days in the office per week, so we're currently considering candidates who live within a commuting distance of our offices in Mumbai.
Must-Haves
- Formal management experience. You have multiple years of experience managing Software Engineers and know how to guide teams to deliver business impact. You’ve taken the lead on tackling ambiguous technical challenges, proposing solutions to upcoming problems, and providing technical input on others’ work.
- Experience in mature, full-stack web applications. You’ve spent several years in a role, or roles, that had you building across all levels of a web application, from the client-side code, all the way down to the database. You have a professional background in TypeScript, React, GraphQL, C#, Java, PHP, MongoDB, MySQL and/or AWS
- English language proficiency. You have strong verbal and written communication skills.
- Flexible schedule. We strive to maintain a healthy work-life balance, but in this role, it’s necessary to overlap your schedule with stakeholders and collaborators across time zones.
Nice-to-Haves
- Experience working with AI/ML systems, particularly in applying models to automate workflows or process large datasets
Our Role
- Champion work-life harmony. We'll give you the flexibility you need in your work life (e.g., national and public holidays and timeout (meeting-free) days) so you can enjoy your personal life too.
- Guarantee autonomy. We have an open, honest culture and we trust our people from day one. Your team will support you, but you'll own your work and have the agency to try new ideas.
- Encourage career growth. We're lifelong learners who encourage professional development. We'll give you tons of resources and opportunities to keep growing.
- Provide an environment to help you succeed. We've invested in our offices, designing incredible spaces with our employees in mind. We'll also provide you the tech stack and hardware to do your best work.
- Cover your medical insurance. Comprehensive medical insurance for employees, with partial reimbursement available for dependent coverage.
- Retiral benefits. We offer a Provident Fund and Gratuity.
Inclusion at Hudl
Hudl is an equal opportunity employer. Through our actions, behaviors and attitude, we’ll create an environment where everyone, no matter their differences, feels like they belong.
We offer resources to ensure our employees feel safe bringing their authentic selves to work, including employee resource groups and communities. But we recognize there’s ongoing work to be done, which is why we track our efforts and commitments in annual inclusion reports.
We also know imposter syndrome is real and the confidence gap can get in the way of meeting spectacular candidates. Please don’t hesitate to apply—we’d love to hear from you.
Privacy Policy
Ready to apply?
Apply to HudlAbout Tekion:
Positively disrupting an industry that has not seen any innovation in over 50 years, Tekion has challenged the paradigm with the first and fastest cloud-native automotive platform that includes the revolutionary Automotive Retail Cloud (ARC) for retailers, Automotive Enterprise Cloud (AEC) for manufacturers and other large automotive enterprises and Automotive Partner Cloud (APC) for technology and industry partners. Tekion connects the entire spectrum of the automotive retail ecosystem through one seamless platform. The transformative platform uses cutting-edge technology, big data, machine learning, and AI to seamlessly bring together OEMs, retailers/dealers and consumers. With its highly configurable integration and greater customer engagement capabilities, Tekion is enabling the best automotive retail experiences ever. Tekion employs close to 3,000 people across North America, Asia and Europe.
Job Description
We’re seeking a hands-on Senior Data Architect to design and modernize scalable, AI-ready data platforms across cloud. The ideal candidate has deep technical expertise in AWS, PySpark, and Python, and experience migrating legacy Java-based scripts to Spark frameworks while ensuring data quality, scalability, and performance.
Key Responsibilities
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Design and implement data architecture and pipelines using PySpark, Python, and AWS services (Glue, EMR, S3, Redshift, Athena).
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Modernize legacy systems by converting Java-based migration or ETL scripts into Spark-based solutions.
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Build and manage data lakes and data warehouses optimized for analytics and AI/ML workflows.
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Collaborate with data scientists and analysts to enable model training, deployment, and continuous data delivery.
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Define and document HLD (High-Level Design) and LLD (Low-Level Design) for scalable data systems.
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Implement standards for data quality, governance, performance optimization, and security.
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Lead troubleshooting, performance tuning, and architecture reviews for data pipelines.
Skills and Experience
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15+ years of experience in data engineering or architecture, with strong hands-on development background.
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Expert-level proficiency in PySpark, Python, and SQL for data processing and transformation.
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Strong understanding of AWS data ecosystem — including Glue, EMR, S3, Redshift, and Lambda.
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Proven experience migrating or re-engineering Java-based ETL systems into modern Spark environments.
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Solid foundation in data lake, data warehouse, and cloud-native architecture design.
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Experience supporting AI/ML data pipelines and integrating data platforms with ML workflows.
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Strong documentation skills (HLD, LLD) and ability to communicate architecture clearly to technical and business stakeholders.
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Experience with both RDBMS such as Maria DB/MySQL and No-SQL database such MongoDB
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Experience with GIT, Jenkins, & AWS
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Expertise in performance optimization and cost management for cloud environments
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Ability to manage multiple projects and priorities in a fast-paced environment
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AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional
Tekion is proud to be an Equal Employment Opportunity 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, victim of violence or having a family member who is a victim of violence, the intersectionality of two or more protected categories, or other applicable legally protected characteristics.
For more information on our privacy practices, please refer to our Applicant Privacy Notice here.
Ready to apply?
Apply to Tekion
About IonQ:
IonQ, Inc. [NYSE: IONQ] is the world’s leading quantum platform and merchant supplier - delivering integrated quantum solutions across computing, networking, sensing, and security. IonQ’s newest generation of quantum computers, the IonQ Tempo, is the latest in a line of cutting-edge systems that have been helping customers and partners including Amazon Web Services, and AstraZeneca achieve 20x performance results and accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense. In 2025, the company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing performance.
Headquartered in College Park, Maryland, IonQ has operations in California, Colorado, Massachusetts, Tennessee, Washington, Italy, South Korea, Sweden, Switzerland, Canada, and the United Kingdom. Our quantum computing services are available through all major cloud providers, while we also meet the needs of networking and sensing customers across land, sea, air, and space. IonQ is making quantum platforms more accessible and impactful than ever before.
We are looking for a Senior Quantum Field Engineer. As a Senior Quantum Field Engineer, you’ll be part of a team whose mission is to lead IonQ on its journey to build the world’s best quantum solutions and solve the world’s most complex problems. Field Engineering sits at the intersection of customers, markets, products and product teams, algorithms, applications, innovation and strategy - this is the team where ideas become applied and have impact.
Join a nimble team of scientists, engineers, salespeople, marketers, business developers, and product managers to drive an entirely new quantum computing business. We’re seeking versatile engineers and architects skilled in technical sales, technical demos and customer interactions who feel energized to deliver IonQ’s quantum computing products and quantum applications.
Responsibilities:
- Inspire prospective clients by explaining IonQ’s strategy, portfolio and answering technical questions about quantum portfolio (compute, network, security, sensing and space) and quantum applications.
- Lead and shepherd client discussions, inspiring them to see how quantum applications can be implemented in their business domain.
- This includes working through business needs and mapping Quantum Algorithms (financial services, bioscience, chemistry and materials, optimization, generative AI, and other domains) into application code and executing Proof-of-Concepts together with the IonQ Application team.
- Share insights from clients with the IonQ Product Management and Engineering teams such that client feedback is incorporated into our products.
- Navigate competitive objection handling
- Translate business needs expressed by our clients into technical work projects in collaboration with other team members.
- Create assets to explain features of our quantum applications and other IonQ quantum products.
- Move dialogs from initial ideation to focused exploration domain through to proof-of-concept and ultimately into production workflows.
- Lead client discovery sessions for business-oriented use cases that uncover potential overlap with development of useful quantum algorithms together with the IonQ Application team
- Partner with marketing, developer relations and business development to grow awareness of IonQ in the world at large.
- Attend industry conferences, as needed, to talk to client and support our booth activities.
- Some travel expected in the US (20%) but opportunities for global travel are available as well for client meeting and IonQ conference activities.
- This is a technical customer-facing role with the appropriate balance of compensation acceleration for success and a base salary to ensure that credibility and technical correctness always come first.
You’d be a good fit with:
- 5 years of experience in technical customer-facing roles or equivalent capacity. The ability to communicate (at the various context-appropriate levels of depth) and persuade clearly, have strong EQ, and other customer facings skills are critical.
- Bachelor’s degree or above in Computer Science, Machine Learning, Data Science, or other STEM field, such as Chemistry, Physics or Engineering
- Motivated learner with a strong interest in quantum computing.
You’d be a great fit with:
- Masters or PhD in a STEM field, perhaps adjacent to quantum computing.
- Time on the customer side in various verticals included leadership roles - this provides customer empathy
- Hands-on experience with Qiskit, Cirq or other quantum computing SDK.
- Proficient in Python and Jupyter Notebooks.
- Expert architecture skills across various technologies (“full stack skills”)
- Experience leading technical events.
Location: India
Travel: 20% travel domestically and globally
Job ID: 1403
Compensation will vary based on individual factors such as education, qualifications, and experience of the final candidate(s), specific office location, and calibration against relevant market data and internal team equity. Posted base salary figures are subject to change as new market data becomes available. Our benefits include comprehensive medical, dental, and vision plans, matching 401K, unlimited PTO and paid holidays, parental/adoption leave, legal insurance, and a home technology stipend. Details of participation in these benefit plans will be provided when a candidate receives an offer of employment.
At IonQ, we believe in fair treatment, access, opportunity, and advancement for all while striving to identify and eliminate barriers. We empower employees to thrive by fostering a culture of autonomy, productivity, and respect. We are dedicated to creating an environment where individuals can feel welcomed, respected, supported, and valued.
We are committed to equity and justice. We welcome different voices and viewpoints and do not discriminate on the basis of race, religion, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other basis protected by law. We are proud to be an Equal Employment Opportunity employer.
US Technical Jobs. The position you are applying for will require access to technology that is subject to U.S. export control and government contract restrictions. Employment with IonQ is contingent on either verifying “U.S. Person” (e.g., U.S. citizen, U.S. national, U.S. permanent resident, or lawfully admitted into the U.S. as a refugee or granted asylum) status for export controls and government contracts work, obtaining any necessary license, and/or confirming the availability of a license exception under U.S. export controls. Please note that in the absence of confirming you are a U.S. Person for export control and government contracts work purposes, IonQ may choose not to apply for a license or decline to use a license exception (if available) for you to access export-controlled technology that may require authorization, and similarly, you may not qualify for government contracts work that requires U.S. Persons, and IonQ may decline to proceed with your application on those bases alone. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law.
US Non-Technical Jobs. Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law.
If you are interested in being a part of our team and mission, we encourage you to apply!
Ready to apply?
Apply to IonQ
Senior Machine Learning Engineer
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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 ML systems that power this platform are not auxiliary features. They are the product.
Open Problems
The agentic era is reshaping every layer of the hiring stack. These are some of the core problems you'll be working across, none of them fully solved.
- Chakra: Building an autonomous AI interviewer that conducts, adapts to, and evaluates technical interviews end to end.
- Integrity: Detecting fraud and suspicious behavior across multiple signal types. The ways candidates game assessments change frequently, and the models need to keep up.
- Evaluation: Measuring technical skill in a world where AI writes the code. The old proxies no longer hold and the new ones have not been defined yet.
Your focus will shift across these depending on where the highest-leverage work is at any given time.
What you will do
- Design and ship production ML systems across Chakra, integrity, and evaluation domains.
- Own the full ML lifecycle: problem framing, data strategy, experimentation, deployment, and iteration.
- Build evaluation infrastructure and benchmarking pipelines that reliably measure model quality before and after deployment.
- Define the architecture and production bar for different signal categories from scratch.
- Mentor and support junior ML engineers, helping shape their technical thinking and raise the quality bar across the team.
- Establish ML best practices for the team: monitoring, model feedback loops, and quality standards.
Who you are
- 4+ years building and shipping ML systems that run in production at scale.
- Systems thinking comes naturally. Model accuracy, data pipelines, serving infrastructure, and customer outcomes are one problem, not four.
- Evaluation methodology matters as much as model performance. A metric measured wrong is worse than no metric.
- Proficient in Python, with practical experience building data pipelines and deploying models to production.
Even better if you have
- Experience with multimodal systems: vision, NLP, audio, or behavioral signal pipelines.
- LLM experience: fine-tuning, RLHF, or multi-turn agentic systems.
- Background in adversarial ML, fraud detection, or anomaly detection.
- Publications or open-source contributions in detection, robustness, or evaluation methodology.
You will thrive here if
- Messy, undefined problems are more interesting to you than optimizing within clean ones.
- Ambiguity energizes you, especially when the right framing is itself part of the work.
- Direct access to leadership, fast feedback loops, and genuinely unsolved problems is what you are looking for.
- Defining what a system should be is more compelling than maintaining what already exists.
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 Careers
Staff Information Security Engineer - Thick Client Application , VAPT
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About Zscaler
Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.
Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability.
We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.
Role
We are looking for a Staff Information Security Engineer to join our Cyber and Data Security team. This is a Bangalore based role, reporting to the Director, Information Security Engineering. You will lead pentesting efforts across our applications and infrastructure while conducting deep security architecture reviews. By prioritizing vulnerabilities and driving security automation, you will serve as a critical partner to our engineering and operations teams in safeguarding our global ecosystem.
What you’ll do (Role Expectations)
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Perform advanced pen-testing on applications and infrastructure to identify and mitigate risks
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Conduct security architecture reviews and provide strategic recommendations for complex systems
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Partner with engineering and operations teams to prioritise vulnerabilities for remediation
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Design and implement security automation to streamline repetitive tasks and improve efficiency
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Lead security assessments across web applications, thick clients, and APIs
Who You Are (Success Profile)
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You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
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You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
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You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
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You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
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You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
What We’re Looking for (Minimum Qualifications)
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5+ years of experience in manual security assessments using industry-leading tools for web applications, thick clients, and APIs
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Expertise in thick client penetration testing across Windows, Mac, Linux, Android, and iOS platforms
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Proven experience conducting security architecture reviews in network security and complex application environments
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Strong fundamental knowledge of security concepts, cryptography, Unix architecture, and networking
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Ability to read and debug programming languages such as C/C++, Java, or Javascript to identify security weaknesses
What Will Make You Stand Out (Preferred Qualifications)
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Proven ability to validate findings and perform thorough root cause analysis
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Advanced scripting knowledge used to automate repetitive security tasks and research
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Experience or interest in emerging security research areas including Container, AI/ML, or Cloud security
#LI-Hybrid #LI-PM5
At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.
Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:
- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks, and more!
Learn more about Zscaler’s Future of Work strategy, hybrid working model, and benefits here.
By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.
Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.
Pay Transparency
Zscaler complies with all applicable federal, state, and local pay transparency rules.
Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
Ready to apply?
Apply to Zscaler
About Zscaler
Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.
Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability.
We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.
Role
We are looking for an experienced Staff Machine Learning Engineer to join our Engineering team. This role is based in Bangalore, reporting to the Manager, Machine Learning Engineering. You will be responsible for building and maintaining large-scale distributed systems that power our entire ML pipeline, from data collection to real-time serving. You'll solve complex real-world business problems by partnering closely with data scientists and product teams to deliver impactful automation and intelligence.
What you’ll do (Role Expectations)
- Build and maintain large-scale distributed systems to support the whole pipeline including data collection, feature engineering, model training, model evaluation, model deployment, and real-time serving
- Develop functional specifications, assess task requirements and scheduling, and participate in the development, debug, and support
- Solve complex real-world business problems like threat detection and business intelligence by working closely with stakeholders including data scientists, product management, and product engineering teams
Who You Are (Success Profile)
- You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
- You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
- You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
- You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
- You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
What We’re Looking for (Minimum Qualifications)
- 5+ years of experience as a Software Engineer or ML Engineer
- Experience with applying machine learning for improving key business metrics, optimized models for accuracy, latency
- Experience with researching newer techniques, and innovating for building ML based solutions
- Experience with algorithms in building out data collection/processing infrastructure, Machine Learning model training, and serving platforms
- Deep expertise with cloud infrastructure (AWS)
What Will Make You Stand Out (Preferred Qualifications)
- Proven track record of designing, building and shipping end-end applications at scale
- Experience identifying and solving problems in data using machine learning systems
- Familiarity with multi-agent systems, agent architectures, prompt engineering and SOTA AI frameworks
#LI-Hybrid #LI-AN4
At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.
Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:
- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks, and more!
Learn more about Zscaler’s Future of Work strategy, hybrid working model, and benefits here.
By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.
Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.
Pay Transparency
Zscaler complies with all applicable federal, state, and local pay transparency rules.
Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
Ready to apply?
Apply to Zscaler
About Zscaler
Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.
Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability.
We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.
Role
We are looking for an experienced Staff Machine Learning Engineer to join our Engineering team. This role is based in Bangalore, reporting to the Senior Engg. Manager - Data + AI.
You will be responsible for designing and developing large scale ML Systems that analyze massive volumes of network data to detect anomalies, threats, and patterns in near real-time. You’ll solve complex real-world business problems by partnering closely with data architects and product teams to deliver impactful automation and intelligence, including the design and orchestration of specialized autonomous agents.
What you’ll do (Role Expectations)
- Build and maintain large-scale distributed systems to support the full ML lifecycle, including data collection, feature engineering, and Agentic AI components like agent workflows and real-time serving
- Solve complex business problems such as threat detection by collaborating with data architects and product teams to build multi-agent solutions that automate analysis and decisioning
- Partner with cross-functional teams to assess requirements, manage scheduling, and lead the development and debugging of agent-based systems
- Support the rollout and monitoring plans for production-grade ML systems to ensure performance, observability, and scalability
Who You Are (Success Profile)
- You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
- You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
- You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
- You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
- You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
What We’re Looking for (Minimum Qualifications)
- 5+ years of experience as an AI-ML Engineer with technical proficiency in Java, Springboot, Python, and PyTorch or TensorFlow
- Proven experience writing high-performance queries for large-scale analytics platforms such as Azure Data Explorer (ADX/Kusto) or Google BigQuery, including partitioning-aware patterns
- Deep expertise in designing and deploying anomaly detection using tree-based models, statistical techniques, and streaming ML approaches
- Hands-on experience developing multi-agent orchestration, agent-to-agent communications, and autonomous decision-making workflows
- Strong technical background with distributed infrastructure and public cloud platforms like Azure, GCP, or AWS
What Will Make You Stand Out (Preferred Qualifications)
- A track record of shipping end-to-end applications at scale that process billions of events
- Willingness to work across the full spectrum of Big Data and AI-based solutions
- Hands-on experience with SOTA AI frameworks, prompt engineering, and complex agent architectures
#LI-Bangalore #LI-AN4
At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.
Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:
- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks, and more!
Learn more about Zscaler’s Future of Work strategy, hybrid working model, and benefits here.
By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.
Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.
Pay Transparency
Zscaler complies with all applicable federal, state, and local pay transparency rules.
Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
Ready to apply?
Apply to Zscaler
About Zscaler
Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.
Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability.
We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.
Role
We are looking for a Staff Machine Learning Engineer to join our Exposure Management & Security Operations team. This role is a hybrid position based in Bangalore, reporting to the Sr. Manager, Engineering Strategy, Planning & Analytics. You will join the team that built the world’s largest cloud security platform from the ground up, helping to scale a multitenant architecture that serves over 15 million users globally. Your vision and passion will be critical as we continue to innovate and enable organizations to harness the speed and agility of a cloud-first strategy.
What you’ll do (Role Expectations)
- Designing and deploying scalable, reliable, and efficient production-grade Gen AI/ML systems from data ingestion to monitoring
- Driving innovation by researching and evaluating emerging AI/ML frameworks, rapidly prototyping novel solutions, and championing full-scale implementation
- Implementing and maintaining robust MLOps practices, including logging, monitoring, and CI/CD pipelines for distributed ML systems
- Leading and mentoring junior engineers in system design best practices and promoting technical excellence
- Collaborating with cross-functional teams to translate complex business needs into technical solutions
Who You Are (Success Profile)
- You thrive in ambiguity and are comfortable building the path as you walk it, seeing dynamic environments as the raw material to build something meaningful.
- You act like an owner with a passion for the mission and a bias for action, navigating seamlessly between high-level strategy and hands-on execution.
- You are a problem-solver who seeks out challenges because you are energized by finding solutions that deliver the biggest impact.
- You are a learner with a growth mindset, actively seeking feedback to become a better partner and a stronger teammate.
- You are driven by innovation and have a deep curiosity for how things work, believing in the power of technology to accelerate transformation.
What We’re Looking for (Minimum Qualifications)
- At least 5 years of experience as a Machine Learning Engineer with a track record of shipping complex, scalable ML systems to production
- Proven experience building Gen AI/ML systems with LLMs, fine-tuning, Retrieval-Augmented Generation (RAG), and Agentic AI in production environments
- Experience designing and implementing distributed ML systems with deep knowledge of MLOps, including monitoring and logging
- Strong computer science foundation in data structures, algorithms, and system design with expertise in Python and SQL
- Excellent communication and interpersonal skills to partner effectively across global engineering teams
What Will Make You Stand Out (Preferred Qualifications)
- Expertise with cloud services such as AWS, GCP, or Azure and ML platforms like Kubeflow or SageMaker
- Proficiency in systems programming languages like Go or Rust with an understanding of distributed systems and networking fundamentals
- A record of research, publications, or patents in AI/ML
#LI-Hybrid #LI-VV3
At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.
Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:
- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks, and more!
Learn more about Zscaler’s Future of Work strategy, hybrid working model, and benefits here.
By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.
Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.
Pay Transparency
Zscaler complies with all applicable federal, state, and local pay transparency rules.
Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
Ready to apply?
Apply to Zscaler
About Zscaler
Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.
Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability.
We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.
Role
We are looking for an experienced Staff Machine Learning Engineer to join our Engineering team. This role is based in Hyderabad, reporting to the Senior Director, Engineering. You will be responsible for building and maintaining large-scale distributed systems that power our entire ML pipeline, from data collection to real-time serving. You’ll solve complex real-world business problems by partnering closely with data scientists and product teams to deliver impactful automation and intelligence. You will also help design and build Agentic AI systems—developing and orchestrating specialized agents to automate and scale ZPA segmentation workflows, from signal ingestion and reasoning to policy recommendations and enforcement validation.
What you’ll do (Role Expectations)
- Build and maintain large-scale distributed systems to support the whole pipeline including data collection, feature engineering, model training, model evaluation, model deployment, and real-time serving—including Agentic AI components (agent workflows, orchestration, tool integrations, and real-time agent serving).
- Develop functional specifications, assess task requirements and scheduling, and participate in the development, debug, and support—including designing agent behaviors, evaluation strategies (quality/safety/latency), and rollout/monitoring plans for agent-based systems.
- Solve complex real-world business problems like threat detection and business intelligence by working closely with stakeholders including data scientists, product management, and product engineering teams—including building multi-agent solutions that automate analysis and decisioning (e.g., recommendation, triage, and segmentation/policy workflows).
Who You Are (Success Profile)
- You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
- You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
- You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
- You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
- You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
What We’re Looking for (Minimum Qualifications)
- 4+ years of experience as a AI-ML Engineer
- Experience with applying machine learning for improving key business metrics, optimized models for accuracy, latency
- Experience with researching newer techniques, and innovating for building ML based solutions
- Experience with algorithms in building out data collection/processing infrastructure, Machine Learning model training, and serving platforms
- Expertise in leveraging and augmenting LLM models for software development
What Will Make You Stand Out (Preferred Qualifications)
- Proven track record of designing, building and shipping end-end applications at scale
- Experience identifying and solving problems in data using machine learning systems
- Familiarity with multi-agent systems, agent architectures, prompt engineering and SOTA AI frameworks
#LI-Hybrid #LI-AN4
At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.
Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:
- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks, and more!
Learn more about Zscaler’s Future of Work strategy, hybrid working model, and benefits here.
By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.
Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.
Pay Transparency
Zscaler complies with all applicable federal, state, and local pay transparency rules.
Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
Ready to apply?
Apply to Zscaler
About Zscaler
Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.
Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability.
We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.
Role
We are looking for an experienced Financial Analyst, FP&A to join our FP&A team. This is a hybrid role based in Mohali, reporting to the Manager, FP&A. As part of the General and Administrative team, you will provide a strong foundation for growth and help scale our global infrastructure. You will be responsible for translating complex data into compelling narratives and partnering with business leads to maximize profitability and hit financial targets.
What you’ll do (Role Expectations)
-
Analyze Monthly/Quarterly GTM performance, focusing on New Business ACV, Upsell/Cross-sell, Pipeline health, and coverage ratio while providing variance analysis of actual bookings vs. forecast
- Manage HC & Expense reporting and forecasting, including Marketing spend, Travel & Expense, and Program Spend, along with variance commentaries and walks
-
Support the annual planning process and rolling quarterly forecasts by building and maintaining financial models to predict productivity and consolidate regional inputs for US leadership
- Apply preliminary AI/ML tools to automate routine reporting and leverage Generative AI to synthesize large datasets and draft executive summaries
- Partner effectively with US-based GTM Operations and Global FP&A teams, maintaining the flexibility to overlap with US PST time zones for key forecast calls and business reviews
Who You Are (Success Profile)
-
You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
-
You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
-
You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
-
You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
-
You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
What We’re Looking for (Minimum Qualifications)
-
CA/Master's degree in Finance, Economics, Strategy, Business, or a related field
-
1–3 years of experience in financial planning and analysis or related roles
-
Knowledge of Tableau and Structured Query Language (SQL) or other comparable visualization tools
What Will Make You Stand Out (Preferred Qualifications)
-
Proficiency in financial modeling and analysis, with advanced skills in Excel
-
Knowledge of Adaptive, NetSuite, and Salesforce
-
Flexibility to work U.S. time during the peak days of the quarterly and monthly reporting process
#LI-HG1
#LI-Hybrid
At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.
Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:
- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks, and more!
Learn more about Zscaler’s Future of Work strategy, hybrid working model, and benefits here.
By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.
Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.
Pay Transparency
Zscaler complies with all applicable federal, state, and local pay transparency rules.
Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
Ready to apply?
Apply to Zscaler
About Zscaler
Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.
Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability.
We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.
Role
We’re looking for a Full Stack Software Engineer to join our team. This role is based in Bangalore, India, reporting to the Sr. Manager of Software Engineering within the Risk360 department You will join the team that built the world’s largest cloud security platform from the ground up to help organizations worldwide harness speed and agility with a cloud-first strategy. In this role, you will be a key contributor to our multitenant architecture, enabling the delivery of innovative services to over 15 million users across 185 countries.
What you’ll do (Role Expectations)
- Develop product features related to data transformations, enrichment, analytics, and user-facing dashboards
- Design and implement intuitive, performant web applications using ReactJS for data visualization and user interaction
- Build and maintain data processing pipelines to handle data ingestion, transformation, and analysis for risk quantification
- Establish monitoring mechanisms to track data platform performance and health while defining maintenance procedures
- Collaborate closely with UX/UI designers and backend engineers to deliver seamless end-to-end solutions
Who You Are (Success Profile)
- You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
- You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
- You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
- You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
- You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
What We’re Looking for (Minimum Qualifications)
- 3+ years of experience in software development for enterprise solutions, including web-based applications
- 1+ years of experience in ReactJS or similar modern JavaScript frameworks, including component-based architecture and state management
- Solid experience in Core Java, Concurrency, Distributed Computing, and proficiency in SQL
- Exposure to Test Driven Development (TDD) using frameworks such as JUnit, REST Assured, TestNG, or Jest
- Experience with HTML5, CSS3, JavaScript/ES6+, and building responsive interfaces
What Will Make You Stand Out (Preferred Qualifications)
- Experience developing scalable web applications handling large datasets efficiently and working knowledge of GraphQL
- Expertise in state management frameworks like Redux and performance optimization including tuning JVM
- Understanding of security compliance frameworks, statistics, and machine learning
#LI-Hybrid #LI-AN4
At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.
Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:
- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks, and more!
Learn more about Zscaler’s Future of Work strategy, hybrid working model, and benefits here.
By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.
Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.
Pay Transparency
Zscaler complies with all applicable federal, state, and local pay transparency rules.
Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
Ready to apply?
Apply to Zscaler
The field of gene therapy is growing rapidly and Genezen is here to meet the exacting needs of our clients. We provide process development, produce GMP viral vectors, and provide cell transduction for gene and cell therapy clinical trials and are proud to be a part of the process that leads to new cures.
WORKING AT GENEZEN
Many people have worked in environments where you feel like just another nameless part of an enormous machine. Genezen is different. We want our employees to be innovative, collaborative problem solvers who are dedicated to meeting the challenges of working at a fast-growing company. We are dedicated to empowering our employees to be their best and making Genezen a rewarding place to work. Every employee contributes to the success of the company and you can be part of that team.
JOB SUMMARY
Responsible for driving all aspects of the Analytical and Microbiological Quality Control (QC) laboratories at Genezen. This individual provides leadership, scientific and technical expertise for all QC activities, as well as support to Analytical Development for all method qualification/validation activities. This person is also the facility aseptic subject matter expert, including responsibilities for the environmental monitoring program. The ideal candidate must have in-depth knowledge and experience in a cGMP/ GLP testing lab.
ESSENTIAL JOB FUNCTIONS
- Ensure timely in-process and release testing of early clinical grade biopharmaceuticals
- Maintain familiarity with current analytical and bioassay methods used for characterizing viral vectors (Assays include genome titer by Flow, ELISA, qPCR, ddPCR, genome integrity assay, empty/full particle ratio assay, and cell-based assays)
- Monitor, maintain and continuously improve the environmental monitoring program, including conducting Environmental Monitoring Performance Qualifications as needed
- Develop, implement and maintain EM trending program and metrics, including Annual Reports and evaluation of alert levels
- Develop, implement and maintain an in-house isolates program
- Responsible for Disinfectant Efficacy Program
- Responsible for the Analytical laboratory equipment systems and software (e.g., ddPCR, Flow, etc.) including purchase, calibration, IOPQ activities, etc. to meet the compliance (data integrity) requirements and project timelines.
- Support the Analytical Development team in qualification/validation of analytical methods to support the cGMP manufacturing of viral vectors
- Support the tech transfer of bioassays from clients to cGMP QC testing lab
- Represent QC Analytical and Microbiological in client meetings and programs
- Establish and maintain the stability program
- Oversee LIMS development, implementation, operation, troubleshooting and maintenance
- Responsible for all laboratory logistics activities including, but not limited to sample management, test/release schedule, cycle time matrix, capacity management, etc.
- Manage outside contract laboratory relationships, including method qualification/validations, investigations, audits, cost and invoices to meet project timelines and business requirements
- Support OOSs/OOTs and other lab investigations, deviations, CAPAs, change controls, audits, and training
- Analyze regulatory authorities’ programs, guidance documents, and activities in areas relevant to testing of cell and gene products
- Develop, implement and present metrics for monitoring of lab operations and stability program
- Participation in client audits and regulatory inspections as SME and development of responses to observations
- Responsible for hiring and development of team members, conduct performance review and disciplinary actions.
- Ensure safe working environment and compliance with OSHA, EHS, Quality, and cGMP procedures and policies within the QC functional area
KNOWLEDGE, SKILLS, AND EXPERIENCE
|
EDUCATION / CERTIFICATIONS / LICENSES |
Essential/Desired |
|
BS in a scientific/technical discipline |
Essential |
|
MS in a scientific/technical discipline |
Preferred |
|
ON-THE-JOB EXPERIENCE |
|
|
7+ years of experience in a QC leadership position within the biological industry |
Essential |
|
Proven technical leadership and experience in bioanalytical methods (method development, validation and transfer). Methods include but not limited to: ELISA, PCR, qPCR, ddPCR, cell-based assays, and flow cytometry-based assays. |
Essential |
|
Familiarity with viral vector release assays |
Preferred |
|
Proven lab operations management experience |
Preferred |
|
3+ years of cGXP experience |
Preferred |
|
SKILLS / ABILITIES |
|
|
Ability to maintain multiple projects and timelines
|
Essential |
|
Strong people leadership skills |
Essential |
PHYSICAL DEMANDS
While performing the duties of this job, the employee is required to meet the following physical demands:
Work Environment
- Frequently required to work in a BSL 2 environment with personal protective equipment/aseptic gowning
- Regularly required to work around large machinery and typical utilities seen in pharmaceutical facilities
- Occasionally exposed to moving mechanical parts; high, precarious places; toxic or caustic chemicals; hazardous waste; and risk of electrical shock
- Occasionally exposed to extremely loud noise levels
- Spending time on the floor during activity execution (maintenance, construction, commissioning and qualification) is required
Movement
- Frequently required to stand; sit; use hands to finger, handle, or feel; reach with hands and arms
- Occasionally required to walk; climb or balance; and stoop, kneel, crouch, or crawl
Lifting
- Frequently lift and/or move up to 10 pounds
- Occasionally lift and/or move up to 25 pounds
Vision
- Frequently utilize close vision and the ability to adjust focus
Communication
- Frequently required to communicate by talking, hearing, using telephone and e-mail
GENEZEN'S CURES VALUE-BASED COMPETENCIES
Committed to Science
We are committed to scientific excellence, staying current with industry developments, making data-driven decisions, and pursuing innovation to advance healthcare.
Urgency in action for the patients
We operate with urgency and a commitment to delivering timely treatments to patients by accelerating our partners' programs.
Resilience & Grit in operations
We are committed to overcoming challenges, learning from failures, and persistently striving for success.
Execute with Excellence & Integrity
We are dedicated to delivering quality results and upholding ethical principals.
Solutions driven for our partners
We are committed to being a proactive, collaborative, creative and open-minded partner.
GENEZEN'S BENEFITS
- Paid vacation days, amount based on tenure
- Paid sick time
- 10 observed holidays + 2 floating holiday + 1 volunteer day
- 401(k) plan with company match up to 6% of salary, vested immediately
- Share Appreciation Rights
- Choice of several healthcare plans
- FSA and HSA programs
- Dental & vision care
- Employer-paid basic term life/personal accident insurance
- Voluntary disability, universal life/personal accident insurance
- Accidental Death & Dismemberment (AD&D) Insurance
ADDITIONAL DETAILS
- Nothing in the job description for this role restricts management’s right to assign or reassign duties and responsibilities to this job at any time.
- This position requires a criminal background check.
- Genezen is an Equal Opportunity Employer.
- Genezen participates in EVerify.
- Genezen is interested in every qualified candidate who is eligible to work in the United States; however, we are not able to sponsor visas.
Genezen has operates two locations: one in Fishers, Indiana and the second in Lexington, Massachusetts.
Fishers is a suburb of Indianapolis. Fishers was named the #1 place to live in the US by Money Magazine in 2017 for its livability, safety and entrepreneurship. Fishers is one of the fastest growing communities in Indiana and is dedicated to supporting a high quality of life for all its residents. Nearby Indianapolis is home to professional and college sports teams, the Indy 500, a growing art community and the world’s largest children’s museum--to name just a few reasons why this area is a great place to live.
Lexington, Massachusetts, located just northwest of Boston, is renowned as a historic suburb with a rich cultural heritage. It boasts picturesque New England charm, tree-lined streets, and a vibrant community. Known for its pivotal role in the American Revolution, Lexington offers visitors and residents alike a blend of historical landmarks, modern amenities, and a strong sense of community pride.
Ready to apply?
Apply to Genezen
Head of Machine Learning
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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
Advanced Practice Provider, NP or PA, Highland, IN
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Discover the advantages of Advanced Independent Practice - Urological Specialists of North Indiana (USNI) - powered by Urology Alliance.
As a member of Urology Alliance (UA), USNI is supported by the nation’s leading patient-focused, excellence-driven physician-led urology network. This partnership empowers USNI to deliver superior, individualized patient care by leveraging Urology Alliance’s robust, world-class business and organizational support, ensuring our clinicians can focus on what they do best – providing top-notch care in a successful and dynamic private practice setting.
Job description
Are you ready to elevate your career in a dynamic and supportive environment? Our thriving private practice urology group is actively seeking a passionate and skilled Nurse Practitioner or Physician Assistant to become part of our expanding team in 2026!
- Prime Location: Our modern clinic is conveniently located in Highland, IN, with easy access to Hammond and nearby communities.
- Flexible Work-Life Balance: Enjoy a Monday through Friday schedule with flexibility to fit your lifestyle.
- Comprehensive Patient Care: Deliver high-quality care across both outpatient clinic settings and hospital rounds in a collaborative, patient-centered environment.
- Steady Patient Volume: See an average of 30 patients per day, allowing you to maintain meaningful patient relationships without compromising quality.
- Competitive Compensation: We offer a guaranteed annual base salary with additional incentives and benefits, ensuring a rewarding career path.
General Overview:
Lake and Porter Counties are located in Northwest Indiana, within commuting distance to Chicago.
- Both counties offer a blend of suburban and rural settings with a low cost of living compared to Chicago.
- Known for a family-friendly environment, diverse recreational options, and close-knit communities.
Housing & Cost of Living:
- Housing in Lake and Porter Counties is relatively affordable, with options from suburban neighborhoods to rural properties.
- Overall cost of living is lower than in Chicago.
- Crown Point in Lake County and Valparaiso in Porter County are popular towns with well-rated schools, safe neighborhoods, and modern amenities.
Education:
- Both counties provide strong K-12 public school systems.
- Higher education options include Purdue University Northwest in Lake County (Hammond) and Valparaiso University in Porter County.
- Valparaiso University, in particular, offers a vibrant campus community with comprehensive programs.
Recreation & Nature:
- Indiana Dunes National Park, located in Porter County, offers beaches, hiking trails, and water sports along Lake Michigan.
- Numerous parks, trails, golf courses, and family-friendly spaces in both counties support an active, outdoor lifestyle.
Community Life & Amenities:
- Both counties have rich cultural amenities, including farmer’s markets, festivals, community theaters, and art galleries.
- Valparaiso’s historic downtown in Porter County and Crown Point’s town square in Lake County provide charming dining, shopping, and entertainment.
- There’s a mix of national retail chains and locally-owned shops, with year-round community events fostering community connectedness.
Transportation & Commuting:
- Lake and Porter Counties are connected to Chicago via the South Shore Line commuter rail.
- Both counties are accessible by major highways (I-65, I-80/94), simplifying commutes.
- Gary/Chicago International Airport in Lake County offers regional flights, while Chicago’s O’Hare and Midway Airports are about an hour’s drive.
Safety:
- Suburban communities in Lake and Porter Counties generally have low crime rates.
- Crown Point in Lake County and towns in Porter County like Chesterton and Valparaiso are known for safety and family-friendliness.
Climate:
- Both counties experience a four-season climate, with warm summers, beautiful autumns, and cold winters.
- Proximity to Lake Michigan brings lake-effect snow in winter and moderates temperatures in the warmer months.
Cultural Diversity:
- Lake County is especially culturally diverse, with a blend of ethnic communities that bring varied dining, festivals, and cultural experiences.
- Porter County has a welcoming, inclusive atmosphere, with community events celebrating diversity throughout the year.
Patients Come First.
Every decision we make is anchored in strengthening patient care. Our physicians lead with a commitment to quality, access, and outcomes, and our shared infrastructure ensures they have the tools, data, and support to continually elevate care in every community we serve.
A Physician-Led Organization at Every Level.
Our model is built on physician leadership. Through our Physician Executive Committee, Regional Clinical Governance Boards, and Local Head Physicians, clinical decision-making remains with those who deliver care. This physician-led structure, supported by national-scale resources, preserves autonomy while strengthening specialty excellence.
True Partnership That Enables Physicians to Focus on Patients.
Instead of a traditional management model, we operate as a Management Services Organization (MSO). Our national infrastructure, which includes analytics, technology, revenue cycle, compliance, and operational support, reduces administrative burden so physicians can devote their time and expertise to patients. We enable, we support, and we align. We do not manage.
Outcomes Matter.
Our leadership is driven by the measurable value we deliver to physicians, practices, and patients. Our partnership-first approach, combined with data insights and operational strength, has fueled significant clinical, operational, and practice growth. As more top-tier physicians join our specialty-led ecosystem, we continue to expand access and raise the standard of specialty-care nationwide.
Interested in learning more?
We are just a click away. No pressure. Just information and a partnership built for physicians who want to lead the future of specialty care.
Be empowered to make your best next career move!
The Specialty Alliance is a physician-led Management Services Organization (MSO) that supports leading specialty practices with national-scale infrastructure, data, and resources. Our partnership model preserves clinical autonomy while enabling responsible growth and high-quality specialty care nationwide. To learn more about The Specialty Alliance, visit www.thespecialtyalliance.com.
The Specialty Alliance Corporate Headquarters, 550 Reserve St., Suite 550, Southlake, TX 76092, USA
The Specialty Alliance | GI Alliance | Urology Alliance
Ready to apply?
Apply to The Specialty Alliance
Advanced Practice Provider, NP or PA, Urology Oncololgy, Highland, IN
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Discover the advantages of Advanced Independent Practice - Urological Specialists of North Indiana (USNI) - powered by Urology Alliance.
As a member of Urology Alliance (UA), USNI is supported by the nation’s leading patient-focused, excellence-driven physician-led urology network. This partnership empowers USNI to deliver superior, individualized patient care by leveraging Urology Alliance’s robust, world-class business and organizational support, ensuring our clinicians can focus on what they do best – providing top-notch care in a successful and dynamic private practice setting.
Job description
Are you ready to elevate your career in a dynamic and supportive environment? Our thriving private practice urology group is actively seeking a passionate and skilled Nurse Practitioner or Physician Assistant to become part of our expanding team in 2026!
- Prime Location: Our modern clinic is conveniently located in Highland, IN, with easy access to Hammond and nearby communities.
- Flexible Work-Life Balance: Enjoy a Monday through Friday schedule with flexibility to fit your lifestyle.
- Comprehensive Patient Care: Deliver high-quality care across both outpatient clinic settings and hospital rounds in a collaborative, patient-centered environment.
- Steady Patient Volume: See an average of 30 patients per day, allowing you to maintain meaningful patient relationships without compromising quality.
- Oncology-Focused Practice: This role emphasizes oncology care and requires at least one year of oncology experience.
- Competitive Compensation: We offer a guaranteed annual base salary with additional incentives and benefits, ensuring a rewarding career path.
General Overview:
Lake and Porter Counties are located in Northwest Indiana, within commuting distance to Chicago.
- Both counties offer a blend of suburban and rural settings with a low cost of living compared to Chicago.
- Known for a family-friendly environment, diverse recreational options, and close-knit communities.
Housing & Cost of Living:
- Housing in Lake and Porter Counties is relatively affordable, with options from suburban neighborhoods to rural properties.
- Overall cost of living is lower than in Chicago.
- Crown Point in Lake County and Valparaiso in Porter County are popular towns with well-rated schools, safe neighborhoods, and modern amenities.
Education:
- Both counties provide strong K-12 public school systems.
- Higher education options include Purdue University Northwest in Lake County (Hammond) and Valparaiso University in Porter County.
- Valparaiso University, in particular, offers a vibrant campus community with comprehensive programs.
Recreation & Nature:
- Indiana Dunes National Park, located in Porter County, offers beaches, hiking trails, and water sports along Lake Michigan.
- Numerous parks, trails, golf courses, and family-friendly spaces in both counties support an active, outdoor lifestyle.
Community Life & Amenities:
- Both counties have rich cultural amenities, including farmer’s markets, festivals, community theaters, and art galleries.
- Valparaiso’s historic downtown in Porter County and Crown Point’s town square in Lake County provide charming dining, shopping, and entertainment.
- There’s a mix of national retail chains and locally-owned shops, with year-round community events fostering community connectedness.
Transportation & Commuting:
- Lake and Porter Counties are connected to Chicago via the South Shore Line commuter rail.
- Both counties are accessible by major highways (I-65, I-80/94), simplifying commutes.
- Gary/Chicago International Airport in Lake County offers regional flights, while Chicago’s O’Hare and Midway Airports are about an hour’s drive.
Safety:
- Suburban communities in Lake and Porter Counties generally have low crime rates.
- Crown Point in Lake County and towns in Porter County like Chesterton and Valparaiso are known for safety and family-friendliness.
Climate:
- Both counties experience a four-season climate, with warm summers, beautiful autumns, and cold winters.
- Proximity to Lake Michigan brings lake-effect snow in winter and moderates temperatures in the warmer months.
Cultural Diversity:
- Lake County is especially culturally diverse, with a blend of ethnic communities that bring varied dining, festivals, and cultural experiences.
- Porter County has a welcoming, inclusive atmosphere, with community events celebrating diversity throughout the year.
Patients Come First.
Every decision we make is anchored in strengthening patient care. Our physicians lead with a commitment to quality, access, and outcomes, and our shared infrastructure ensures they have the tools, data, and support to continually elevate care in every community we serve.
A Physician-Led Organization at Every Level.
Our model is built on physician leadership. Through our Physician Executive Committee, Regional Clinical Governance Boards, and Local Head Physicians, clinical decision-making remains with those who deliver care. This physician-led structure, supported by national-scale resources, preserves autonomy while strengthening specialty excellence.
True Partnership That Enables Physicians to Focus on Patients.
Instead of a traditional management model, we operate as a Management Services Organization (MSO). Our national infrastructure, which includes analytics, technology, revenue cycle, compliance, and operational support, reduces administrative burden so physicians can devote their time and expertise to patients. We enable, we support, and we align. We do not manage.
Outcomes Matter.
Our leadership is driven by the measurable value we deliver to physicians, practices, and patients. Our partnership-first approach, combined with data insights and operational strength, has fueled significant clinical, operational, and practice growth. As more top-tier physicians join our specialty-led ecosystem, we continue to expand access and raise the standard of specialty-care nationwide.
Interested in learning more?
We are just a click away. No pressure. Just information and a partnership built for physicians who want to lead the future of specialty care.
Be empowered to make your best next career move!
The Specialty Alliance is a physician-led Management Services Organization (MSO) that supports leading specialty practices with national-scale infrastructure, data, and resources. Our partnership model preserves clinical autonomy while enabling responsible growth and high-quality specialty care nationwide. To learn more about The Specialty Alliance, visit www.thespecialtyalliance.com.
The Specialty Alliance Corporate Headquarters, 550 Reserve St., Suite 550, Southlake, TX 76092, USA
The Specialty Alliance | GI Alliance | Urology Alliance
Ready to apply?
Apply to The Specialty Alliance
Senior Analyst - Data Scientist
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Position Summary
As an Inizio Ignite Senior Analyst you will be a core member of client engagement teams, leading sophisticated analytics workstreams and owning the development of high-impact analytical deliverables. You will apply advanced analytical, coding, and modelling skills to solve complex business problems for life sciences clients, while contributing to methodological best practices across the data analytics team.
A significant portion of this role will focus on commercial analytics and business intelligence, including marketing and sales analytics, real-world data analysis (e.g., claims and EHR), and the design and delivery of dashboards and data visualizations that support strategic and operational decision-making.
In this role, you will work closely with case team leadership to design and execute analytics approaches, translate ambiguous business questions into structured analytical plans, and communicate insights clearly to both internal stakeholders and clients.
Desired Skills and Experience
The ideal candidate for the Senior Analyst position is a highly motivated, analytically rigorous individual with strong ownership mentality, excellent communication skills, and the ability to operate independently in a fast-paced consulting environment.
- Proven analytic experiences and problem-solving skills (Master’s degree with a major in a related field of quantitative science e.g., engineering, computer/data science, statistics, mathematics, etc.)
- Senior Analyst: Master’s degree plus 1-2 years of relevant work experience or PhD’s degree
- Demonstrated expertise in processing and analyzing large datasets using SQL and Python/R/SAS; strong Excel skills (e.g., Power Query, VBA) a plus, with experience applying these skills to commercial analytics use cases such as marketing performance, sales effectiveness, patient journeys, and market dynamics
- Strong foundation in statistical analysis and machine learning, including hypothesis testing, supervised and unsupervised learning, and model evaluation
- Experience working with cloud-based data and analytics environments (e.g., AWS, Azure, Snowflake)
- Proficiency in business intelligence, dashboarding, and data visualization using tools such as Tableau, Power BI, or Qlik Sense, with the ability to translate analytical results into clear, decision-ready insights
- Experience working with real-world healthcare and life sciences datasets (e.g., claims, EHR, lab, provider, Rx, and payer data; sources such as Komodo, IQVIA, Symphony, Truven, Optum, Flatiron), particularly in commercial and market-facing analytics contexts; familiarity with omnichannel commercial analytics (e.g., HCP engagement, marketing mix, channel performance) is a plus
- Ability to independently structure analyses, manage multiple priorities, and deliver high-quality work under tight timelines
- Strong written and verbal communication skills, with the ability to explain complex analytical concepts to non-technical audiences
- Experience working effectively as part of hybrid teams across multiple geographies, demonstrating strong collaboration, adaptability, and comfort operating in a global consulting environment
Don't meet every job requirement? That's okay! Our company is dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role, but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.
Ready to apply?
Apply to Inizio Ignite | Putnam
Manager, Data Science
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About Inizio Ignite
We are Inizio Ignite, the global advisory partner for health and life sciences encompassing connected expertise across Research Partnership, Putnam, STEM, and Vynamic. Guided by purpose, passion, and precision, we collaborate with clients to ignite impact, accelerate performance, and deliver lasting change for patients. By uniting strategy, insights, and innovation with a unique depth and breadth of expertise, we drive transformation and shape the future of health. Proudly part of Inizio – the market-leading commercialization partner for health and life sciences. From early-stage development to loss of exclusivity, we simplify complexity, unlock value, and make collaboration seamless at every pivotal moment – helping healthcare leaders shape strategy and drive meaningful change.
About the Role
We are seeking an experienced Data Science Manager to join our team at Inizio Ignite. The ideal candidate will bring deep machine learning expertise, strong GenAI and cloud competencies, and hands-on experience delivering analytical solutions that drive meaningful business impact for life sciences clients.
This leader will manage data scientists, oversee project delivery, partner with cross-functional teams, and shape the development of innovative AI/ML solutions.
What you'll be doing
Leadership & Delivery
- Lead and manage a team of data scientists, providing technical guidance, mentorship, and performance oversight.
- Own end-to-end delivery of data science and GenAI engagements for pharma/biotech clients.
- Translate business problems into analytical frameworks and ensure high-quality, timely project execution.
- Drive adoption of AI/ML capabilities across client engagements and internal initiatives.
Technical Responsibilities
- Architect, design, and review ML, statistical, and GenAI solutions, ensuring scalability, accuracy, and alignment with business objectives.
- Oversee the development, validation, and deployment of predictive models, NLP pipelines, and GenAI-based applications (e.g., summarization, insights automation, generative workflows).
- Lead cloud-based solution deployment (AWS, Azure, or GCP) including orchestration, MLOps best practices, and integration with enterprise systems.
- Ensure adherence to model governance, compliance, and responsible AI frameworks.
What you'll need
- Extensive experience in data science or advanced analytics roles, with at least 2–3 years in a leadership or managerial capacity.
- Ideally prior experience in pharmaceutical, biotech, or healthcare consulting is mandatory.
- Strong expertise in machine learning, NLP, deep learning, and GenAI (LLMs, prompt engineering, RAG, fine-tuning, embeddings).
- Hands-on experience with cloud platforms such as AWS, Azure, or GCP; exposure to MLOps frameworks preferred.
- Proficiency in Python, SQL, and common DS/ML libraries (TensorFlow, PyTorch, scikit-learn, Hugging Face, LangChain, etc.).
- Proven experience managing teams, delivering client projects, and presenting to senior stakeholders.
- Good to have understanding of pharma datasets (claims, RWE, clinical, medical insights, social data) and key use cases.
- Experience building GenAI solutions in production environments
Our Pledge
At Inizio, we value inclusivity, recognize the power of diversity, and inspire the next generation of change-makers. We are an equal opportunities employer and are committed to creating a dynamic work environment that values diversity, equity, and inclusion. We welcome all applications regardless of race, color, religion, gender identity, age, national origin, marital status, veteran status, genetic information, sexual orientation, or disability.
Artificial Intelligence
Inizio may use AI technologies to support certain aspects of our recruitment process, but all hiring decisions are made by our human recruiting team. We are committed to fair, inclusive, and human-led hiring practices. Don't meet every requirement? That's okay! We are dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't perfectly align with every qualification, we encourage you to apply anyway.
Don't meet every job requirement? That's okay! Our company is dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role, but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.
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Apply to Inizio Ignite
Senior Software Engineer
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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.
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Apply to Zeta GlobalSenior QA Automation Engineer
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Greetings From Zeta Global !!
Requirements:
- Education:
- B.S. or M.S. in Computer Science or a related field.
- Experience:
- 8+ years of experience with UI Automation tools such as Selenium, and API automation works.
- 5+ years of experience working with Python and/or J2EE technology or equivalent OO paradigm.
- Experience with automating test validation either via API or through databases using Snowflake, HIVE, or AWS Athena is highly desirable.
- Web application testing experience required both in frontend and backend validations.
- Experience working in a fast-paced technology environment.
- Technical Skills:
- Knowledge and experience with Robot Framework and its libraries using Python.
- Strong proficiency in Python programming.
- Knowledgeable in Git workflows like branching, merging, and conflict resolution.
- Solid understanding of SDLC and Agile testing methodologies.
- Experience with Atlassian tools such as Jira and Confluence preferred.
- Knowledge and experience with Kafka, Elasticsearch, and SQL/NoSQL databases such as Aerospike, Thrift, CI, and AWS is highly desirable.
- Knowledge of other test automation frameworks such as Selenium, Appium, or Cucumber is a plus.
- Experience working with container-based solutions is a plus.
- Soft Skills:
- Strong communication and interpersonal skills.
- Excellent problem-solving, critical thinking, and analytical skills.
- Ability and desire to learn new skills and take on new tasks.
Responsibilities:
- Testing and Automation:
- Perform automated tests covering both frontend/UI and backend/API tests, analyze results, and report defects.
- Continuously improve the test automation strategy to enhance test coverage and efficiency.
- Proactively involve in the development of automation frameworks to satisfy business requirements as well as improve the performance and usability of the framework.
- Automate tests to ensure functional requirements and performance KPIs are met.
- Ensure high product quality through rigorous functional and API level tests.
- Collaboration and Mentorship:
- Understand business requirements independently and cooperatively.
- Mentor and guide other QA engineers on best practices in test automation.
- Collaborate with cross-functional teams to integrate automated tests into the CI/CD pipeline.
- Development and Documentation:
- Architect, design, and implement a reliable and scalable automation framework for a real-world machine learning platform.
- Develop comprehensive test plans covering business use cases and test cases.
- Identify, record, document thoroughly, and track bugs.
- Perform thorough regression testing when bugs are resolved.
Company Summary
Zeta Global is a NYSE listed data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry’s 3rd largest proprietary data set (2.4B+ identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth.
Our technology runs on the Zeta Marketing Platform, which powers ‘end to end’ marketing programs for some of the world’s leading brands. With expertise encompassing all digital marketing channels – Email, Display, Social, Search and Mobile – Zeta orchestrates acquisition and engagement programs that deliver results that are scalable, repeatable and sustainable.
Zeta Global is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, gender, ancestry, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.
Zeta Global Recognized in Enterprise Marketing Software and Cross-Channel Campaign Management Reports by Independent Research Firm
https://www.businesswire.com/news/home/20240904622808/en/Zeta-Increases-3Q%E2%80%9924-Guidance
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Apply to Zeta GlobalSenior Data Scientist
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Zeta is seeking an experienced Senior Data Scientist to join our Machine Learning team. You will design, build, and scale machine learning solutions that power marketing intelligence, campaign optimization, and business performance.
This role spans the full ML lifecycle — from data engineering and feature development to model deployment and performance monitoring — in a cloud-based, distributed environment.
Reporting / Hours: 1:00 PM – 10:00 PM IST (± 30 minutes flexibility)
Key Responsibilities
Data Engineering & ETL
- Lead the design and development of scalable ETL pipelines across platforms such as Snowflake/Hive, Athena
- Partner with cross-functional teams to optimize data architecture and workflows
Machine Learning & AI Development
- Design, develop, evaluate, and deploy ML/AI models in production environments
- Build scalable ML pipelines for training, validation, deployment, and scoring
- Develop advanced predictive models and recommendation engines
- Optimize model performance through experimentation, feature engineering, and ensemble techniques
- Implement automation frameworks to improve productivity and reproducibility
Cloud & Distributed Systems
- Leverage AWS technologies including EC2, EMR, S3, Airflow, and Athena
- Build and maintain robust workflows in distributed computing environments
Analytics, Reporting & Marketing Automation
- Generate client-facing modeling insights dashboards and performance reports with a strong focus on accuracy, consistency, and explainability
- Support marketing automation initiatives using Python, Snowflake, Apache Superset, and related technologies
Collaboration & Delivery
- Work on multiple concurrent projects in a fast-paced, high-growth environment
- Communicate complex findings clearly to both technical and non-technical stakeholders
- Mentor junior team members and contribute to best practices across the data science function
Required Skills:
- Strong expertise in supervised learning and advanced ML techniques (Random Forest, GBM, regression, neural networks, boosting and bagging methods, ensemble models)
- Proven experience building and productionizing ML pipelines
- Advanced Python proficiency and experience with ML libraries
- Strong data preparation and feature engineering skills
- Experience with Snowflake and distributed data systems
- Working knowledge of Unix and shell scripting
- Strong analytical thinking, attention to detail, and communication skills
Qualifications:
- MSc/MS in a quantitative field with 4+ years of experience
or
- BSc with 7+ years of relevant 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.
ZETA IN THE NEWS!
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Apply to Zeta GlobalSenior Data Engineer
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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!
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Apply to Zeta GlobalSenior Application Security Engineer
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We’re seeking a Senior Application Security Engineer to help strengthen Zeta’s application and platform security posture. You’ll play a critical role in embedding security throughout the software development lifecycle, ensuring our systems, applications, and AI-driven platforms are built securely from the ground up.
Zeta operates at massive scale, powering billions of consumer profiles and petabytes of data across real-time, AI-powered marketing platforms. In this role, you’ll collaborate with engineering and product teams to identify risks, implement secure design principles, and build automated controls that enable secure innovation.
This position offers significant technical scope, cross-functional visibility, and opportunities to contribute directly to the company’s overall security maturity.
Key Responsibilities:
Threat Modeling & Security Validation
- Conduct threat modeling and security reviews for distributed cloud-native systems.
- Perform security code reviews, static/dynamic analysis (SAST/DAST), and dependency scanning.
- Participate in incident response exercises and red/blue team simulations.
- Assess third-party libraries, APIs, and vendor integrations for security compliance.
Embedding Security into the SDLC
- Partner with developers and QA engineers to embed security testing into CI/CD pipelines.
- Review architecture and design documents to identify and mitigate risks early.
- Contribute to security automation initiatives and tooling to improve developer velocity.
- Support security checkpoints in release and deployment processes.
Emerging Threat Monitoring & Proactive Defense
- Stay current on evolving security risks, frameworks, and attack vectors, including AI/ML-specific threats (e.g., prompt injection, model poisoning).
- Assist in designing and deploying proactive defense mechanisms across applications and data platforms.
- Support investigations and post-incident reviews to strengthen detection and prevention capabilities.
Security Awareness & Policy Implementation
- Advocate secure coding and best practices through code reviews, workshops, and documentation.
- Contribute to internal security standards and playbooks.
- Collaborate closely with Engineering, DevOps, and Product teams to foster a security-first culture.
What You Need to Succeed
- Bachelor’s degree in computer science, Cybersecurity, or related field, or equivalent experience.
- 2 - 4 years of experience in Application Security, DevSecOps, or Secure Software Development.
- Strong understanding of OWASP Top 10, SANS CWE Top 25, and general application threat modeling.
- Experience with frameworks and architectures such as React, Node.js, Django, or FastAPI.
- Knowledge of securing APIs, microservices, and authentication mechanisms (OAuth2, OIDC, JWT).
- Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
- Working knowledge of security testing tools (e.g., Semgrep, SonarQube, Burp Suite, Zap, Trivy).
- Solid collaboration and communication skills with cross-functional teams.
Nice to Have
- Familiarity with AI/ML security concepts such as data poisoning, adversarial testing, and model integrity.
- Experience with automation frameworks and scripting for security testing.
- Relevant certifications (e.g., OSCP, GWAPT, CSSLP, or ML/AI-specific security certifications)
WHO WE ARE
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!
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Apply to Zeta GlobalStaff Backend Engineer
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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
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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!
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Apply to Zeta GlobalSr AI/ML Engineer
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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 GlobalToast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.
AI Foundations is Toast's internal platform team for AI. We build the infrastructure, governance, and developer tooling that makes AI a reliable, scalable force multiplier across the entire product development lifecycle. Our products include the LLM Proxy, AI Key Management, Observability pipelines, the Claude Plugin Marketplace, and autonomous agents that participate directly in the software development lifecycle.
As a Senior Software Engineer on this team, you'll be hands-on building the systems that other Toast engineers depend on every day: the LLM proxy, agentic workflows, and the plugin marketplace that brings AI-native development practices to teams across the company.
This is a hybrid role with 2 days per week in the Bengaluru office.
A day in the life (Responsibilities)
- Design, build, and ship features across AI platform infrastructure, including the LLM proxy, AI key management, and observability pipelines
- Develop and extend autonomous agents that participate in the SDLC, such as the AI Review GitHub App and Developer Platform MCP integrations
- Build on and contribute to the internal plugin marketplace, developing plugins that encode Toast's architectural standards and quality practices into AI assistant behavior
- Implement MCP (Model Context Protocol) services and service templates that make it faster and easier for teams across Toast to build AI-powered workflows
- Write high-quality, well-tested code and participate in design and code reviews
- Collaborate with engineers, product managers, and platform teams to understand developer needs and translate them into reliable platform solutions
- Contribute to the team's adoption of agentic development practices and tooling
- Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team.
What you'll need to thrive (Requirements)
- Bachelor’s Degree with relevant experience of 5+ years in designing and implementing scalable backend services
- Demonstrated experience building, deploying, or operating LLM-powered agents or AI-assisted developer tooling
- Familiarity with AI coding assistants (e.g., Claude Code, Cursor, GitHub Copilot) and an interest in extending them through custom plugins, skills, or hooks
- Experience with MCP (Model Context Protocol), tool use patterns, or similar agentic integration frameworks
- Working knowledge of prompt engineering and how LLM behavior responds to context and instructions
- Strong foundation in Java, Kotlin, or another object-oriented language
- Experience with distributed systems, REST APIs, and cloud-native infrastructure
- Strong customer empathy and a drive to make developers' lives better through reliable, well-designed platform solutions
What will help you stand out
- Familiarity with A2A (Agent-to-Agent) protocols and multi-agent orchestration patterns
- Experience with machine learning concepts, model evaluation, or ML infrastructure
- Experience building developer experience platforms, internal tooling, or API gateways
- Familiarity with observability tooling for AI/LLM systems (e.g., Langfuse, DataDog)
AI at Toast
At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.
Our Total Rewards Philosophy
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.
#LI-HYBRID
How Toast Uses AI in its Hiring Process
Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. To learn more: https://careers.toasttab.com/ai-in-hiring
Diversity, Equity, and Inclusion is Baked into our Recipe for Success
At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences.
We Thrive Together
We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast.
Apply today!
Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com.
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For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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Apply to Toast
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
.
See yourself at Twilio
Join the team as Twilio’s next Staff Machine Learning Engineer.
About the job
This position is needed to scope, design, and deploy machine learning systems into the real world, the individual will closely partner with Product & Engineering teams to execute the roadmap for Twilio’s AI/ML products and services.
You will understand customers need, build data products that works at a global scale and own end-to-end execution of large scale ML solutions.
To thrive in this role, you must have a deep background in ML engineering, and a consistent track record of solving data & machine-learning problems at scale. You are a self-starter, embody a growth attitude, and collaborate effectively across organizations.
Responsibilities
In this role, you’ll:
- Build and maintain scalable machine learning solutions in production
- Train and validate both deep learning-based and statistical-based models considering use-case, complexity, performance, and robustness
- Demonstrate end-to-end understanding of applications and develop a deep understanding of the “why” behind our models & systems
- Partner with product managers, tech leads, and stakeholders to analyze business problems, clarify requirements and define the scope of the systems needed
- Work closely with data platform teams to build robust scalable batch and realtime data pipelines
- Collaborate with software engineers, build tools to enhance productivity and to ship and maintain ML models
- Drive high engineering standards on the team through mentoring and knowledge sharing
- Uphold engineering best practices around code reviews, automated testing and monitoring
Qualifications
Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
Required:
- 7+ years of applied ML experience with proficiency in Python
- Strong background in the foundations of Machine Learning and building blocks of modern Deep Learning
- Track record of building, shipping and maintaining Machine Learning models in production in an ambiguous and fast paced environment.
- Track record of designing and architecting large scale experiments and analysis to inform product roadmap.
- You have a clear understanding of frameworks like - PyTorch, TensorFlow, or Keras, why and how these frameworks do what they do
- Familiarity with ML Ops concepts related to testing and maintaining models in production such as testing, retraining, and monitoring.
- Demonstrated ability to ramp up, understand, and operate effectively in new application / business domains.
- You’ve explored modern data storage, messaging, and processing tools (Kafka, Apache Spark, Hadoop, Presto, DynamoDB etc.) and demonstrated experience designing and coding in big-data components such as DynamoDB or similar
- Experience working in an agile team environment with changing priorities
- Experience of working on AWS
Desired:
- Experience with Large Language Models
Location
This role will be remote, and based in India
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.
What We Offer
Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions.
Twilio is proud to be an equal opportunity employer. We do not discriminate based upon 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 also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Ready to apply?
Apply to Twilio
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.
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
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
.
See yourself at Twilio
Join the team as Twilio’s next Senior Offensive Security Engineer
About the job
This position is needed to The Senior OffSec Engineer will be responsible for the day-to-day execution of penetration tests and contributing to larger Red Team campaigns. You move beyond simple scanning to manual exploitation and are beginning to automate your workflows.
Responsibilities
In this role, you’ll:
- Full-Stack Penetration Testing: Perform manual and automated testing of web applications, APIs, and mobile apps (iOS/Android).
- Internal/External Network Audits: Conduct network and cloud level assessments with various tooling
- Vulnerability Validation: Triage and validate reports from automated scanners or bug bounty hunters to eliminate false positives and escalate true positives
- AI/LLM Probing: Perform initial prompt injection and jailbreak tests on AI prototypes, services, and applications using established checklists (OWASP Top 10 for LLMs).
- Technical Reporting: Draft high-quality reports that detail the "path to compromise" with clear, reproducible steps for developers.
- Tool Maintenance: Manage and update the team's testing infrastructure (e.g., Burp Suite, and basic C2 listeners).
- Remediation Support: Provide direct technical guidance to engineering teams on how to patch vulnerabilities like XSS, SQLi, and IDOR.
- Adversary Emulation: Design and lead multi-week Red Team operations that mimic specific threat actors (APTs) to test the SIRT detection capabilities.
- Custom Exploit Development: Build custom payloads, droppers, and obfuscated scripts to bypass EDR/AV and maintain stealth.
- AI Red Teaming Architecture: Build automated testing frameworks for AI systems (e.g., using PyRIT, Promptfoo, or Garak) to test for models related to sensitive data leakage.
- Cloud & Infrastructure Attacks: Execute sophisticated attacks against AWS/Azure/K8s, focusing on IAM misconfigurations and container escapes.
- Purple Teaming: Collaborate with SIRT and Detection Engineering to tune SIEM alerts based on the techniques used during an engagement.
- Strategic Bug Bounty Management: Oversee the organization's bug bounty program, identifying trends in submissions to suggest broad architectural security changes.
*Required:
- Experience: 3–5 years in offensive security, penetration testing, or a high-volume bug bounty background and track record of finding high/critical vulnerabilities in complex environments.
- Concepts: Expert Knowledge and solid understanding of the MITRE ATT&CK matrix and the OWASP Top 10 for web applications and top 10 for LLMs, post exploitation (lateral movement, persistence, data exfiltration) and Adversarial ML.
- Tooling: Proficient in Burp Suite professional, Nmap, Metasploit, Wireshark etc... and AI security tools such as LangChain, TensorFlow for adversarial testing, as well as use of C2 frameworks (Cobalt Strike, Sliver, Havoc) or similar tools
- Scripting and Coding: Ability to write functional scripts in Python or Bash to automate repetitive testing tasks and proficiency in Python, C++, and scripting for creating custom offensive tooling that avoids signature-based detection.
- Certifications: Possession of advanced industry certifications such as OSCP, OSEP, OSWE, GXPN or similar
- Telecom expertise is preferred
Location
- This role will be remote, and based in India. (Karnataka, Tamil Nadu, Telangana, Maharashtra, Delhi)
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.
What We Offer
Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions.
Twilio is proud to be an equal opportunity employer. We do not discriminate based upon 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 also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Ready to apply?
Apply to Twilio
Role - Staff Software Engineer: Industry Assurance Platform
The Problem We’re Solving
Most disaster recovery is a checkbox. What happens when a ransomware attack doesn't just take down one server, but knocks out the entire ecosystem of suppliers and trading partners for weeks? In healthcare, that’s a catastrophe. We are building an industry-wide, high-availability trading platform that steps in when the primary systems fail.
What We Need You to Do
We are seeking a highly skilled and hands-on Staff Software Engineer to provide deep technical leadership within our engineering organization. This role is intended for senior technologists who excel at solving complex engineering problems, driving architectural excellence, and elevating the technical capabilities of the broader team.
The Staff Engineer operates as a senior individual contributor who influences technical direction, mentors engineers, and collaborates cross-functionally to deliver scalable, reliable, and high-quality software solutions. This role does not include direct people management responsibilities but carries significant technical ownership and organizational impact.
Key Responsibilities
· Technical Leadership – Design and implement scalable, secure and hig-performance software system; Lead complex technical initiatives spanning multiple teams or systems
· Hands-on Development – Contribute actively to codebase through design, development, code reviews and performance optimizations; Champion modern practices including automation, observability and resiliency
· Mentorship – Promote high standards in coding, testing, documentation and system design; develop technical talent by sharing knowledge
· Cross-functional collaboration – Partner closely with Product Management, Marketing, Operations and other stakeholders to translate business needs to technical solutions; Communicate complex technical concepts to non-technical audience
· Execution & Delivery – Provide leadership during planning, estimation & execution phases
Required Qualifications
· Bachelor’s degree in Computer science, Engineering or equivalent
· 8-10 years of experience in designing and building distributed software systems using Microsoft tech stack (.Net, C# )
· Experience in cloud services Azure/AWS Lambda, SQS, API Gateway, ECS etc.
· Hands-on experience with messaging systems like Kafka or Azure Service Bus
· Knowledge of Entity Framework, LINQ, PostgreSQL, MongoDB
· Implementing responsive UI using HTML5, CSS3, Angular
· Implementing CI/CD pipelines using Azure DevOps, GitHub Actions. Knowledge of Containerization and orchestration tools
· Implement testing strategies using unit, integration and API testing
Preferred Skills
· Multi-Cloud & Serverless Experience: Familiarity deploying applications on Azure & AWS specific services like Lambda and Step Functions (for hybrid-cloud orchestration)
· Leverage AI-powered tools - GitHub Copilot/Claude Code/Cursor - to accelerate delivery
· Exposure to AI/ML integration for predictive analytics
Impact of the role
Success in this role will be measured by technical outcomes — improved system scalability and stability, stronger engineering practices, accelerated delivery through mentorship, and effective collaboration across organizational boundaries.
GHX: It's the way you do business in healthcare
Global Healthcare Exchange (GHX) enables better patient care and billions in savings for the healthcare community by maximizing automation, efficiency and accuracy of business processes.
GHX is a healthcare business and data automation company, empowering healthcare organizations to enable better patient care and maximize industry savings using our world class cloud-based supply chain technology exchange platform, solutions, analytics and services. We bring together healthcare providers and manufacturers and distributors in North America and Europe - who rely on smart, secure healthcare-focused technology and comprehensive data to automate their business processes and make more informed decisions.
It is our passion and vision for a more operationally efficient healthcare supply chain, helping organizations reduce - not shift - the cost of doing business, paving the way to delivering patient care more effectively. Together we take more than a billion dollars out of the cost of delivering healthcare every year. GHX is privately owned, operates in the United States, Canada and Europe, and employs more than 1000 people worldwide. Our corporate headquarters is in Colorado, with additional offices in Europe.
Disclaimer
Global Healthcare Exchange, LLC and its North American subsidiaries (collectively, “GHX”) provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, national origin, sex, sexual orientation, gender identity, religion, age, genetic information, disability, veteran status or any other status protected by applicable law. All qualified applicants will receive consideration for employment without regard to any status protected by applicable law. This EEO policy applies to all terms, conditions, and privileges of employment, including hiring, training and development, promotion, transfer, compensation, benefits, educational assistance, termination, layoffs, social and recreational programs, and retirement.GHX believes that employees should be provided with a working environment which enables each employee to be productive and to work to the best of his or her ability. We do not condone or tolerate an atmosphere of intimidation or harassment based on race, color, national origin, sex, sexual orientation, gender identity, religion, age, genetic information, disability, veteran status or any other status protected by applicable law. GHX expects and requires the cooperation of all employees in maintaining a discrimination and harassment-free atmosphere. Improper interference with the ability of GHX’s employees to perform their expected job duties is absolutely not tolerated.
Read our GHX Privacy Policy
Ready to apply?
Apply to GHX