Education Requirements:

• Bachelor's degree in Business, Communication, or related field

Experience Requirements:

• 3-5 years of experience in SaaS onboarding, with prior support experience a plus.

• Proven experience in managing enterprise-level onboarding processes.

Other Requirements:

• Strong cross-functional collaboration and teamwork skills.

• Experience working with customers in the US, EU, and India.

• Proficiency in Microsoft Excel for data analysis and reporting

• Flexibility to accommodate global customer time zones.

• Excellent written and spoken English communication skills.

Responsibilities:

• Lead and manage enterprise-level onboarding projects, ensuring successful tool launches and smooth client transitions.

• Coordinate onboarding activities, develop project timelines, and monitor deliverables.

• Continuously evaluate and optimize internal processes for efficiency and simplicity.

• Maintain proactive communication with clients, providing timely updates and resolving queries.

• Prioritize and manage onboarding tasks to ensure completion within agreed timelines.

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 in Engineering, Computer Science, Information Technology, or a related field.

Experience Requirements:

• Strong experience in Snowflake, including designing, implementing, and optimizing Snowflake-based solutions.

• Hands-on expertise in PLSQL, including writing and optimizing complex queries, stored procedures, and functions.

• Proven ability to work with large datasets, data warehousing concepts, and cloud-based data management.

• Proficiency in SQL, data modeling, and database performance tuning.

• Experience with ETL/ELT processes and integrating data from multiple sources.

Other Requirements:

• Familiarity with cloud platforms such as AWS, Azure, or GCP is an added advantage.

• Snowflake certifications (e.g., SnowPro Core, SnowPro Advanced) are a plus.

• Strong analytical skills, problem-solving abilities, and attention to detail.

• Excellent communication skills and ability to work effectively in a collaborative environment.

Responsibilities:

• Design, develop, and maintain data pipelines in Snowflake to support business analytics and reporting.

• Write optimized PLSQL queries, stored procedures, and scripts for efficient data processing and transformation.

• Integrate and manage data from various structured and unstructured sources into the Snowflake data platform.

• Optimize Snowflake performance by tuning queries, managing workloads, and implementing best practices.

• Collaborate with data architects, analysts, and business teams to develop scalable and high-performing data solutions.

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, or a related field.

Experience Requirements:

• 4+ years of experience in data architecture, data engineering, or a related field.

• Extensive experience with Snowflake, including designing and implementing Snowflake-based solutions.

• Must be strong in SQL

• Proven track record of contributing to data projects and working in complex environments.

Other Requirements:

• Familiarity with cloud platforms (e.g., AWS, GCP) and their data services.

• Snowflake certification (e.g., SnowPro Core, SnowPro Advanced) is a plus.

Responsibilities:

• Design and implement scalable, efficient, and secure Snowflake solutions to meet business requirements.

• Develop data architecture frameworks, standards, and principles, including modeling, metadata, security, and reference data.

• Implement Snowflake-based data warehouses, data lakes, and data integration solutions.

• Manage data ingestion, transformation, and loading processes to ensure data quality and performance.

• Collaborate with business stakeholders and IT teams to develop data strategies and ensure alignment with business goals.

Benefits:

• Health and Wellness: Healthcare policy covering your family and parents.

• Food: Enjoy scrumptious buffet lunch at the office every day.

• Professional Development: Learn and propel your career. We provide workshops, funded online courses and other learning opportunities based on individual needs.

• Rewards and Recognitions: Recognition and rewards programs in place to celebrate your achievements and contributions.

Education Requirements:

• Bachelor’s/Master’s in Computer Science or related field.

Experience Requirements:

• 2+ Years

• Hands-on experience with time series forecasting and clustering.

Other Requirements:

• Proficient in Python, R, and relevant ML tools

Responsibilities:

• Time Series Forecasting: Build models to predict trends from time series data.

• Clustering: Develop algorithms to group and analyze data segments.

• Data Insights: Analyze data to enhance model performance.

• Team Collaboration: Work with teams to integrate models into products.

• Stay Updated: Apply the latest AI techniques to improve solutions.

Experience Requirements:

• 10+ Years of overall IT experience, with minimum of 5+ years in designing, developing, deploying, and operationalizing AI/ML solutions.

• Minimum 2–3 years of experience in architecting end-to-end AI/ML solutions, including design, implementation, and production deployment.

• Proven experience in GenAI, LLMs, RAG architecture, prompt engineering, and orchestration tools like LangChain, LlamaIndex, etc.

• Hands-on with vector databases (e.g., Pinecone, FAISS, Elasticsearch) and unstructured data retrieval.

• Deep knowledge of Machine Learning and Deep Learning algorithms: CNNs, RNNs, LSTMs, Transformers, etc.

Other Requirements:

• Excellent communication, leadership, and stakeholder management skills.

• Certification in AWS/GCP or ML specializations.

• Experience in leading large-scale AI transformation programs.

Responsibilities:

• Interact with clients and stakeholders to gather business and technical requirements and translate them into scalable AI/ML solutions.

• Architect and design AI/ML systems across AWS, GCP, or Azure with a strong focus on cloud-native and cost-optimized architecture.

• Lead the design and implementation of Generative AI solutions using LLMs, LangChain, LlamaIndex, Prompt Engineering, and vector databases such as Pinecone, FAISS, Weaviate, or Elasticsearch.

• Implement prompt orchestration, retrieval optimization, and grounding techniques to enhance LLM output accuracy and relevance.

• Guide the development of Python-based APIs, data preprocessing workflows, and model training pipelines.

Education Requirements:

• Bachelor’s or master’s degree in computer science, Information Technology, Data Science, or a related field.

Experience Requirements:

• aleast 4 years of hands-on experience in designing and developing scalable data solutions using the Snowflake Data Cloud platform

• 1+ years of experience with Alteryx Designer, including advanced workflow development and debugging.

• Strong proficiency in SQL, with 3+ years specifically working with Snowflake or other cloud data warehouses.

• Python programming experience focused on data engineering.

• Experience with data APIs, batch/stream processing.

Other Requirements:

• Solid understanding of data transformation logic like joins, unions, filters, formulas, aggregations, pivots, and transpositions.

• Experience in performance tuning and optimization of SQL queries in Snowflake.

• Familiarity with Snowflake features like CTEs, Window Functions, Tasks, Streams, Stages, and External Tables.

• Exposure to migration or modernization projects from ETL tools (like Alteryx/Informatica) to SQL-based cloud platforms.

• Strong documentation skills and attention to detail.

• Experience working in Agile/Scrum development environments.

• Good communication and collaboration skills.

Responsibilities:

• Analyze and interpret complex Alteryx workflows to identify data sources, transformations, joins, filters, aggregations, and output steps.

• Document the logical flow of each Alteryx workflow, including inputs, business logic, and outputs.

• Translate Alteryx logic into equivalent SQL scripts optimized for Snowflake, ensuring accuracy and performance.

• Write advanced SQL queries, stored procedures, and use Snowflake-specific features like Streams, Tasks, Cloning, Time Travel, and Zero-Copy Cloning.

• Implement data ingestion strategies using Snowpipe, stages, and external tables.

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, or a related field.

Experience Requirements:

• 6+ years of experience in data architecture, data engineering, or a related field.

• Extensive experience with Snowflake, including designing and implementing Snowflake-based solutions.

• Must have exposure working in Airflow

• Proven track record of contributing to data projects and working in complex environments.

Other Requirements:

• Familiarity with cloud platforms (e.g., AWS, GCP) and their data services.

• Snowflake certification (e.g., SnowPro Core, SnowPro Advanced) is a plus.

Responsibilities:

• Design and implement scalable, efficient, and secure Snowflake solutions to meet business requirements.

• Develop data architecture frameworks, standards, and principles, including modeling, metadata, security, and reference data.

• Implement Snowflake-based data warehouses, data lakes, and data integration solutions.

• Manage data ingestion, transformation, and loading processes to ensure data quality and performance.

• Collaborate with business stakeholders and IT teams to develop data strategies and ensure alignment with business goals.

Education Requirements:

• Bachelor’s or master’s degree in computer science, Information Technology, Data Science, or a related field.

Experience Requirements:

• minimum 4 years of relevant experience

Other Requirements:

• Proficient in Python with hands-on experience building ETL pipelines for data extraction, transformation, and validation.

• Strong SQL skills for working with structured data.

• Familiar with Grafana or Kibana for data visualization and monitoring/dashboards.

• Experience with databases such as MongoDB, Elasticsearch, and MySQL.

• Comfortable working in Linux environments using common Unix tools.

• Hands-on experience with Git, Docker and virtual machines.

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.

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​

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:

• 3+ years