Benefits:

• Work with cutting-edge CX solutions transforming digital engagement

• Be part of a collaborative and high-performance team culture

• Growth opportunities in a fast-scaling business environment

Experience Requirements:

• Minimum 5 years of experience in a Customer Success, Account Management, or similar client-facing role in the CX product domain

• Prior experience working in or with BPOs is essential, with a strong understanding of operational workflows and metrics

• Strong understanding of CX tools, SaaS products, and customer journey mapping

• Exceptional communication, problem-solving, and stakeholder management skills

• Ability to analyze data and metrics to inform decision-making and demonstrate value

Other Requirements:

• Self-motivated, organized, and able to manage multiple client relationships simultaneously

• Experience with tools like Zendesk, Freshdesk, Salesforce, Gainsight, or similar CX/CRM platforms

• Exposure to global clients and ability to manage expectations across time zones

• Knowledge of CS methodologies like Success Planning, Health Scoring, and Lifecycle Management

Responsibilities:

• Own the post-sale customer relationship, ensuring successful onboarding, product adoption, and overall satisfaction

• Understand client business objectives and map them to our CX solutions for measurable outcomes

• Proactively monitor account health and usage metrics, identifying and addressing risks to drive retention and renewals

• Collaborate with cross-functional teams (Product, Sales, Support, and Operations) to ensure client needs are met

• Drive customer engagement through QBRs, product roadmap sessions, and success planning

Education Requirements:

• Master's/PhD in Computer Science, Machine Learning, or related field preferred.

Experience Requirements:

• 5+ years of hands-on deep learning experience

• Track record of successfully deploying computer vision models in production

• Experience with vision transformer architectures

• Experience optimizing models for production using ONNX/TensorRT

• Background in handling high-resolution satellite/aerial imagery preferred.

Other Requirements:

• Strong foundation in computer vision and deep learning fundamentals

• Extensive experience training transformer models from scratch

• Expert-level proficiency in PyTorch

• Experience with ONNX or TensorRT model optimization and deployment

• Deep understanding of distributed computing and parallel processing

• Advanced Python knowledge, including multi-threading and multi-processing optimization

• Experience with semantic segmentation tasks

• Proven track record of handling large-scale data processing

Responsibilities:

• Design and implement the transformer-based architecture for the semantic segmentation of aerial imagery.

• Develop efficient image-to-token and token-to-image conversion pipelines.

• Create and maintain training datasets, including data cleaning, augmentation, and validation.

• Optimize model training processes for distributed computing environments.

• Implement efficient inference pipelines for production deployment.','Collaborate with the engineering team to integrate new models into existing infrastructure.

Education Requirements:

• preferably tier-1 college (IISc, IITs, NITs, BITS and others)

• Masters/PhD in Computer Science, Machine Learning, or related field preferred

Experience Requirements:

• 5-15 YOE

• Worked on at least 1 Computer vision problem statement in the past 5 years

• Have built, trained and deployed models on production before

• Experience with vision transformer architectures

• Experience optimizing models for production using ONNX/TensorRT','Background in handling high-resolution satellite/aerial imagery preferred

Other Requirements:

• Comfortable with WFO in Bangalore or Noida

• Happy to read research papers day in day out and train on terabytes of image data on big H100 clusters

• Strong foundation in computer vision and deep learning fundamentals

• Extensive experience training transformer models from scratch

• Expert-level proficiency in PyTorch

• Experience with ONNX or TensorRT model optimization and deployment

• Deep understanding of distributed computing and parallel processing

• Advanced Python knowledge, including multi-threading and multi-processing optimization

• Experience with semantic segmentation tasks

• Proven track record of handling large-scale data processing

Responsibilities:

• Design and implement transformer-based architecture for semantic segmentation of aerial imagery

• Develop efficient image-to-token and token-to-image conversion pipelines

• Create and maintain training datasets, including data cleaning, augmentation, and validation

• Optimize model training processes for distributed computing environments

• Implement efficient inference pipelines for production deployment','Collaborate with engineering team to integrate new models into existing infrastructure

Experience Requirements:

• 1-3 years of business development experience in SaaS for Retail/D2C companies.

• Must have experience working with international markets such as North American and European markets.

Other Requirements:

• Clear, concise, and effective written and oral communication skills.

• Empathy towards customers and understanding their needs.

• Interest, curiosity, and openness to learning new technologies.

• Good interpersonal skills and ability to collaborate with internal stakeholders as well as end customers.

• Learning mindset and the right attitude will help you thrive and adapt in a fast-paced, performance-driven environment.

Responsibilities:

• Generate qualified opportunities for the company by rigorously prospecting and researching in the assigned region/market using modern tools

• Do rigorous research on companies to assess opportunities

• Strike and initiate conversations, set up meetings & demos with relevant personas of companies you are prospecting.

• Identify and implement the right sales techniques to close the deals.

• Maintaining a strong relationship with the client and advising them on issues related to the market and offering solutions on the same.

Benefits:

• Amazing Benefits

• Social Impact opportunities

• Talent development opportunities

• Community fostering at Okta

Education Requirements:

• Bachelor’s degree in Computer Science or a related field

Experience Requirements:

• 7+ years of robust experience with hands-on development & design experience

• 3+ years of experience in one or more of the following areas: Deep Learning, LLMs, NLP, Speech, Conversational AI, AI Infrastructure, Fine-tuning, and optimizations of PyTorch models

• Software development experience in Python

• Experience with at least one LLM such as Llama, GPT, Claude, Falcon, Gemini, etc.

• Expertise in AWS Bedrock and the AWS Agent Development Kit is mandatory

Other Requirements:

• Familiarity with full software development lifecycle

• Knowledge about ERP, HR technology, and Legal business processes

• AWS certifications (e.g., AWS Certified Solutions Architect, Machine Learning – Specialty) are a plus

• Experience working with large-scale generative AI or LLM-based applications

• Knowledge of secure application development and data privacy practices in AI/ML workloads

Responsibilities:

• Design and develop full-stack applications that integrate seamlessly with Amazon Bedrock AI agents

• Build scalable, production-grade AI/ML solutions using AWS Bedrock and the AWS Agent Development Kit

• Implement back-end services and APIs to interact with foundation models for tasks such as automated sourcing, content generation, and prompt orchestration

• Create intuitive and performant front-end interfaces using Angular that connect with GenAI capabilities

• Deploy and maintain enterprise-ready GenAI applications at scale

Benefits:

• Amazing Benefits

• Social Impact opportunities

• Talent development opportunities

• Community fostering at Okta

Education Requirements:

• Bachelor’s degree in Computer Science or a related technical field

Experience Requirements:

• 5+ years of experience leading and managing teams of software engineers and analysts

• Deep domain experience in Go-To-Market areas (Sales, CPQ, Customer Support)

• Strong background in IT application development across SaaS/PaaS platforms such as Salesforce, Workday, NetSuite, Anaplan, Xactly, and Boomi

• Proven success leading Agile software delivery teams

• Demonstrated ability to coach and develop technical talent

Other Requirements:

• Strong understanding of key business value streams (Campaign to Opportunity, Opportunity to Order, Order to Cash, etc.)

• Exceptional communication, stakeholder management, and executive presentation skills

• Ability to build effective teams

• Ability to develop talent

• Ability to drive results

Responsibilities:

• Hire, mentor, and retain exceptional talent; foster a culture of continuous learning, feedback, and high performance

• Manage a team of product analysts and engineers to deliver high-quality GTM technology solutions

• Oversee end-to-end project execution, ensuring projects meet scope, budget, timeline, and quality objectives

• Optimize team resources across projects, balancing innovation initiatives with ongoing operational needs (KTLO)

• Promote Agile best practices, ensure backlog health, and lead sprint planning in partnership with Product Managers and Delivery Leads

Benefits:

• Amazing Benefits

• Social Impact opportunities

• Talent development opportunities

• Community fostering at Okta

Experience Requirements:

• 7+ years Workday overall HCM experience

• 4+ years’ experience configuring and supporting Workday Benefits and Talent

• Proficient in Workday HCM and have a working knowledge of: Benefits, Talent, Security Administration, Business Process Configuration, and Report Writer

• Ability and desire to learn about and expand your expertise to encompass new areas of Workday

• Strong project management skills to oversee complex projects

Other Requirements:

• Experience with other Workday areas such as Time Tracking, Absence, Compensation, Payroll

• Workday Integrations experience

• Experience with EIBs and calculated fields

• Hands-on experience developing and enhancing custom reports and dashboards in SaaS or enterprise systems

Responsibilities:

• Help our team ensure data accuracy and seamless ongoing enhancements of new Workday features/functionality

• Be the primary point of contact for data gathering, testing, and communication with key stakeholders and internal Business Systems teams

• Serve as a subject matter expert in Workday Benefits and Talent, and lead the configuration of Workday Talent, Performance, and Benefits

• Manage Workday upgrades and implement new and revised functionality within Workday

• Design, build, test, and deploy Workday integrations using EIBs, Core Connectors, and Report as as Service (RaaS)

Benefits:

• Hands-on exposure to cutting-edge AI test automation

• Ownership and room to innovate in a collaborative, high-impact environment

• Competitive pay

• flexible policies

• fun team

Education Requirements:

• Bachelor’s in Computer Science, Engineering or related field

Experience Requirements:

• 3–4 years’ hands-on automation experience

Other Requirements:

• Strong with Playwright (preferred) or Selenium/Cypress and one scripting language (JS/TS, Python or Java)

• Familiarity with AI-based testing platforms

• Solid API testing & SQL skills; sound grasp of STLC and defect management

• Clear communicator with sharp analytical instincts

• Nice to have: BDD (Cucumber/SpecFlow), performance testing (JMeter/LoadRunner), TestRail/Zephyr, ML model validation

Responsibilities:

• Build & maintain automation with Playwright, Selenium, Cypress or equivalent

• Super-charge coverage using AI-powered tools

• Create, run and optimize manual, API (Postman/Rest Assured) and database (SQL) tests

• Triage results, file defects in Jira, and drive them to closure

Education Requirements:

• Bachelor ’s Degree

Experience Requirements:

• 6+ years of professional experience preferably in a customer-facing role

• 2+ year’s experience in the banking and financial segment

Other Requirements:

• Consulting experience working in technologies such as automation, process and task mining, business process management, workforce intelligence, desktop process analytics

• Leadership skills and an ability to coordinate and collaborate with engineering and product teams

• Strong project management skills

• Strong interpersonal skills

• Strong organization and presentation skills

• A propensity for relationship-building

• Professional experience in Financial Services and/or Insurance

• Knowledge and certification of Six Sigma principles

Responsibilities:

• Become a trusted value delivery partner for assigned clients – Customer Value management and delivery, project reporting, governance ​and consulting

• Program Management (In partnership with solutions delivery leads): All phases of engagement from onboarding, implementation, training), and ongoing support to help our customers recognize value across the journey​.

• Report and track all CS metrics in the tool and keep information upto date

• Demonstrate Deep expertise in Skan product and industry and provide consulting and best practices throughout the lifecycle ​

• Understand customer landscape, problem space, value based metrics and align with Skan capabilities​

Education Requirements:

• Bachelor's degree in engineering, Computer Science, or a related technical field

Experience Requirements:

• 5-6 years of working experience in IT Consulting, Management Consulting, Process Improvement, or a similar area

Other Requirements:

• Proven ability to perform data interpretation, result analysis, and application of statistical techniques

• Hands-on experience with IT systems, software applications, Windows, and Linux platforms

• Excellent communication and presentation skills, with the ability to convey technical concepts to diverse audiences

• Strong problem-solving and analytical skills, with a passion for tackling operational technical challenges

• Familiarity with HTML, CSS, APIs, security protocols, and communication protocols is highly desirable

Responsibilities:

• Collaborate closely with customers' technical teams to assess requirements, map processes, and execute comprehensive deployment plans for Skan's product offerings.

• Lead the end-to-end planning, configuration, and operationalization of Skan solutions, ensuring alignment with customer needs and seamless integration into their existing infrastructure.

• Serve as the primary point of contact for customers, providing technical guidance, support, and timely resolution to product-related issues and queries.

• Coordinate with internal cross-functional teams to ensure adherence to ambitious deployment schedules and successful project execution.

• Develop and maintain detailed implementation plans and provide regular updates.

Experience Requirements:

• 7+ years of experience in backend engineering, with at least 5 years of experience in building distributed systems.

Responsibilities:

• Architect and Develop Distributed Systems

• Database Architecture & Optimization

• Performance & Reliability

• Leadership & Mentorship

Experience Requirements:

• Minimum of 4 years of IT or related experience with 3 years in solution engineering and/or DevOps with a mid-to-large SaaS enterprise solutions company or similar experience.

• Deep knowledge of Linux systems

• Experience with DevOps automation, CI/CD pipeline and agile methodologies

Responsibilities:

• Collaborating with customer success managers and solutions engineers to bring deep technical expertise in implementing intelligent automation solutions for customers.

• Providing customers and solution engineers with ongoing technical support for complex issues and support escalations.

• Optimizing and automating support processes including improving reliability of on-call processes, managing incidents, updating runbooks and documentation, reviewing RCAs and recommending solutions to prevent the recurrence and severity of incidents.

Experience Requirements:

• 5+ years of experience of SRE/CloudOps Manager/Lead role in Enterprise SaaS

• Track record of developing and mentoring great talent, building and motivating high-achieving teams. Ability to lead diverse teams across multiple time zones.

• Business Acumen - Ability to quickly grasp and adapt to a variety of customer verticals, geographies, and business structures.

Responsibilities:

• Build and Manage a world-class SRE team. Design a 24x7 follow-the-sun organization including seamless handover across regions. Mentor and grow team focused on delivering white glove support and incident management service.

• Drive data-driven SRE strategy by defining and prioritizing SRE Objectives and Key Results (OKRs) aligned with company mission. This includes setting measurable targets for key service level agreements

• Manager Enterprise Support function to deliver exceptional white glove experiences at scale in close partnership with our Customer Success, Solution Consulting and Engineering teams.

Benefits:

• Great Company Culture

• Bring your whole self to work

• Rest and Relaxation

• Health Benefits

• Keep learning

Experience Requirements:

• 10+ years of experience in product management, with a strong background in analytics, data platforms, or enterprise SaaS.

• Experience leading customer-facing analytics products for enterprise customers, with a focus on data visualization, reporting, and AI-driven insights.

Responsibilities:

• Define the product vision, strategy, and roadmap for analytics solutions, ensuring alignment with business objectives.

• Identify market opportunities, customer pain points, and emerging trends in enterprise analytics to shape Ushur’s analytics capabilities.

• Develop and execute a roadmap that balances innovation with scalability, ensuring analytics solutions drive value for enterprise customers.

• Own the customer-facing analytics experience, ensuring insights are actionable, intuitive, and embedded in our platform.

• Work closely with the Director of Engineering - Analytics to translate product requirements into technical architectures, solutions, and implementation plans.

Experience Requirements:

• 3+ years

Experience Requirements:

• 1+ years

Experience Requirements:

• 3+ years

Benefits:

• Competitive salary, equity, and spot bonuses.

• Paid sick leave.

• Latest MacBook Pro for your work.

• Comprehensive health insurance.

• Paid parental leave.

Experience Requirements:

• 5+ years of experience in backend engineering or a similar role.

• Hand on experience in LLM , NLP

• Proficiency in programming languages such as Java, or Python

• Strong experience with database management systems (e.g., PostgreSQL, MongoDB) and data modeling.

• Familiarity with cloud services (e.g., AWS, Azure, GCP) and microservices architecture.

Other Requirements:

• Excellent problem-solving skills and the ability to communicate complex technical concepts effectively to diverse stakeholders.

• A collaborative mindset and a passion for innovation, with a proven track record of delivering high-quality projects.

Responsibilities:

• Lead the design, development, and maintenance of scalable backend systems and APIs that support our AI-driven platform.

• Collaborate with cross-functional teams to ensure seamless integration of backend services with frontend applications.

• Optimize system performance, reliability, and scalability through best practices and innovative solutions.

• Troubleshoot complex issues and implement solutions to improve application functionality and user experience.

• Mentor junior engineers, fostering a culture of knowledge sharing and continuous improvement.

Benefits:

• Competitive salary, equity, and spot bonuses.

• Paid sick leave.

• Latest MacBook Pro for your work.

• Comprehensive health insurance.

• Paid parental leave.

Experience Requirements:

• Minimum 10 years of experience in data science, with a focus on NLP , LLM and unstructured data processing.

• Proven track record of launching NLP-driven products to live users.

• Expertise in Python and standard libraries such as PyTorch, NLTK, and Scikit-learn.

• Experience with Transformer-based models (e.g., BERT, RAG,GPT ).

• Strong experience with one or more cloud platforms (Azure, GCP, AWS) for hosting and deploying AI/ML products.

Other Requirements:

• Familiarity with data engineering pipelines and best practices.

• Proficiency in SQL for analytics and data manipulation.

• Excellent problem-solving skills and ability to work with large-scale datasets.

• Strong interpersonal and communication skills, with the ability to mentor team members and interact with customers effectively.

Responsibilities:

• Lead the development and deployment of NLP-based solutions to process and analyze unstructured data at scale.

• Design, train, and optimize machine learning models using libraries such as PyTorch, NLTK, and Scikit-learn.

• Architect and deploy AI/ML products on cloud platforms like Azure, GCP, or AWS.

• Collaborate with data engineering teams to ensure seamless integration of AI models into production systems.

• Perform advanced SQL analytics to extract actionable insights from structured datasets.

Benefits:

• Competitive salary, equity, and spot bonuses.

• Paid sick leave.

• Latest MacBook Pro for your work.

• Comprehensive health insurance.

• Paid parental leave.

Experience Requirements:

• Minimum 10 years of professional experience in backend development.

• Min 4 year in AI NLP or ML hand on experience is required

• Expertise in one of the following programming languages: Java, Python, or Golang.

• Proven experience in building and maintaining distributed systems at scale.

• Familiarity with at least one major cloud platform (Azure, AWS, or GCP).

Other Requirements:

• Strong understanding of system design, architecture patterns, and data structures.

• Experience with relational and NoSQL databases.

• Proficiency in developing RESTful APIs and microservices.

• Solid understanding of security best practices and performance optimization.

• Excellent problem-solving and debugging skills.

• Strong communication and collaboration skills.

Responsibilities:

• Design, implement, and maintain scalable backend systems.

• Develop and optimize distributed systems capable of handling large-scale traffic and data.

• Lead the architecture and design of critical components and systems.

• Write clean, maintainable, and efficient code

• Collaborate with product managers, frontend engineers, and other stakeholders to deliver end-to-end solutions.