Education Requirements:

• Background in Computer Science, Linguistics, Communication, or related fields (preferred but not mandatory)

Experience Requirements:

• Passion for AI, chatbots, or software development tools

• Strong command of English (other languages a plus)

• Analytical and creative problem-solving skills

• Curious mindset with willingness to experiment and iterate

• Basic coding knowledge (Python, JavaScript, or similar)

Responsibilities:

• Design, write, and refine prompts to improve AI response quality

• Experiment with different prompting techniques to achieve consistent outputs

• Collaborate with product and engineering teams to align chat output with user needs

• Document prompt strategies, guidelines, and best practices

• Assist in evaluating model performance with real user queries

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

Benefits:

• Competitive cash salary and equity

• Health Insurance

• Sport : $90 for gym membership allowance

• Food : $200 monthly allowance for meals (solution might evolve as we grow bigger)

• Transportation : $120/month for public transport or Parking charges reimbursed

Education Requirements:

• Bachelor's and/or Master's degree in Business, Computer Science, or a related field.

Experience Requirements:

• 7-10 years of experience in sales

• Deep understanding of the public sector landscape, including procurement processes and regulatory environments.

• Ideally, a strong track record in closing meaningful deals with ministries, public agencies etc.

• Experience of consultative selling of highly complex, technical products.

• Significant work experience within the AI ecosystem or related data/infrastructure field.

Other Requirements:

• Experience working at a successful, fast-growing startup, ideally in deep-tech.

• Strong technical skills to navigate quickly evolving products and steer technical discussions.

• Excellent English skills; additional languages are welcome.

• Outstanding negotiation and communication skills to build relationships and close deals effectively.

Responsibilities:

• Conduct strategic outreach and manage warm introductions to potential public sector clients.

• Convert inbound leads where there are opportunities for upselling or more bespoke agreements.

• Provide hands-on support and guidance to clients during the Proof of Concept (POC) phase, ensuring a smooth and successful evaluation process.

• Leverage successful POC outcomes to convert them into long-term, revenue-generating contracts.

• Develop and execute strategic sales plans to convert leads into valued customers.

Benefits:

• Competitive cash salary and equity

• Health Insurance

• Sport : $90 for gym membership allowance

• Food : $200 monthly allowance for meals (solution might evolve as we grow bigger)

• Transportation : $120/month for public transport or Parking charges reimbursed

Education Requirements:

• Bachelor's and/or Master's degree in Business, Computer Science, or a related field.

Experience Requirements:

• 7-10 years of experience in enterprise sales or consultative selling, ideally with a highly complex, technical product.

• Deep understanding of the APAC market dynamics and enterprise landscape.

• Experience of consultative selling of highly complex, technical products.

• Significant work experience within the AI ecosystem or related data/infrastructure field.

• Experience working at a successful, fast-growing startup, ideally in deep-tech.

Other Requirements:

• Strong technical skills to navigate quickly evolving products and steer technical discussions.

• Excellent English skills; additional languages are welcome.

• Outstanding negotiation and communication skills to build relationships and close deals effectively.

Responsibilities:

• Conduct strategic outreach and manage warm introductions to potential enterprise customers.

• Convert inbound leads where there are opportunities for upselling or more bespoke agreements.

• Provide hands-on support and guidance to clients during the Proof of Concept (POC) phase, ensuring a smooth and successful evaluation process.

• Leverage successful POC outcomes to convert them into long-term, revenue-generating contracts.

• Develop and execute strategic sales plans to convert leads into valued customers.

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

Benefits:

• Remote First Culture

• Health Care Coverage*

• Education Reimbursement*

• Competitive Paid Time Off

• 4 Self-Care Days per year

Experience Requirements:

• At least 4 years of experience in data engineering, ideally focused on AI/ML data infrastructure or enabling and accelerating AI R&D

• Strong proficiency in Python, SQL, and Infrastructure as Code (Terraform, CloudFormation), with additional experience in modern orchestration frameworks (Airflow, Prefect, or dbt)

• Proficiency with cloud-native data platforms (AWS, Azure, GCP) and vector databases (Pinecone, Weaviate, Qdrant, or Chroma)

• Experience with MLOps tools and platforms (HuggingFace, SageMaker Bedrock, Vertex AI), experiment tracking (MLflow, Weights & Biases), and model deployment pipelines

• Experience with Large Language Models (LLMs), embedding generation, retrieval-augmented generation (RAG) systems, and frameworks for orchestrating LLM interaction (LiteLLM, LangFuse, LangChain, LlamaIndex)

Other Requirements:

• Strong problem-solving, analytical, and communication skills, with the ability to design scalable AI data systems and collaborate effectively in cross-functional teams

Responsibilities:

• AI Data Infrastructure & Pipeline Management for Applied AI: Design, build, and operate scalable real-time data pipelines that support ongoing Applied AI model training. Deploy and maintain robust data infrastructure using AI techniques and engineering best practices to ensure continuous model improvement and deployment cycles.

• Data Collection: Execute initiatives for collecting, normalizing, and storing data across multiple sources, including external LLM providers.

• Collaboration: Partner with AI R&D, Applied AI, and Data Platform teams to ensure seamless data flow and quality standards. Partner with stakeholders to collect, curate, and catalog high-quality datasets that directly support Applied AI retraining workflows and business objectives.

• AI R&D Support: Provide secondary support to AI Research & Development efforts by applying advanced data warehousing and engineering technologies. Contribute to exploratory data initiatives that uncover insights from Turnitin's extensive data resources.

• Communication: Maintain clear communication channels across teams, ensuring alignment with company vision while sharing insights on data infrastructure needs and potential innovations.

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:

• Competitive salary and pre-IPO stock options

• Unlimited paid time off

• Generous leave programs for life events

• Annual Learning & Development stipend

• One-time Home office set-up stipend

Experience Requirements:

• 5+ years of experience in Python/Go/Rust (or other Object-Oriented Language)

• 3+ years of experience with React

• 3+ years of experience working with Data Warehouses such as Snowflake, Databricks or Redshift

• Experience in building and managing distributed systems

• Experience with AWS and Terraform (or equivalent)

Other Requirements:

• Hustle, curiosity, humility

Responsibilities:

• Focusing primarily on high output software development leveraging state of the art GenAI codegen practices

• Taking on technical leadership of projects from ideation to deployment and release

• Collaborating closely with product managers to determine what is technically feasible to unlock seamless user experience

• Reviewing pull requests, internal and external to team, to provide helpful feedback for stability and mentorship

• Innovating on creative technical solutions to difficult analog problems

Experience Requirements:

• 0-5 years

Other Requirements:

• Growth Hacking Mindset

• ‘Learnability’

• ‘Passionate’

Responsibilities:

• Data-Tracking & Analytical insight

• Acquisition Marketing (Social, Search, Content, Email, etc.)

• Customer Retention

• Referral Programs & Viral Marketing

• Conversion Rate Optimization & A/B-testing

Education Requirements:

• Master’s or equivalent in Computer Science, Robotics or a related field

Experience Requirements:

• Professional work proficiency with C++ and Python

• Experience working on deliberation and control architectures for multi-agent systems

• Proven ability to work with cross functional teams, setting directions and driving towards solutions independently

• Professional background of leading and delivering industrial robotics and automation solutions to customers

Responsibilities:

• Lead the development of cutting-edge robotic automation solutions using the Intrinsic platform

• Design, implement, test, and maintain innovative software features to expand Intrinsic's capabilities

• Document and communicate your work for internal and external stakeholders

• Collaborate alongside industry-leading partners to deploy automation products

Benefits:

• medical, dental and vision benefits

• life insurance

• short term and long-term disability

• 401(k) retirement plan

• vacation and sick leave

Education Requirements:

• BA/BS in Computer Science, a related field, or a similar college level education

Experience Requirements:

• 0-1 years of industry experience

• Strong foundation in data structures, algorithms, and software design

• Fluency with Java, C++, Python, or similar (we primarily code in Java)

Other Requirements:

• Openness to new technologies and creative solutions

• Comfortable working within a fast-paced high growth startup environment

Responsibilities:

• Participate in full life-cycle software development

• Design, implement, and deploy highly scalable and reliable systems

• Build storage systems, libraries, and frameworks

• Contribute ideas for new features and identify areas for improvement proactively

• Collaborate effectively across teams, including outside of engineering

Benefits:

• medical, dental and vision benefits

• life insurance

• short term and long-term disability

• 401(k) retirement plan

• vacation and sick leave

Education Requirements:

• Juris Doctor (J.D.) degree from an accredited law school

• Admission to the bar and in good standing in at least one U.S. jurisdiction

Experience Requirements:

• 7+ years of experience with some in-house experience

• Experience working in SaaS, enterprise technology, or highly regulated industries

• Deep understanding of data privacy regulations (GDPR, CCPA) and AI governance

Other Requirements:

• Ability to translate complex legal concepts into practical business advice

• Strong stakeholder management and business acumen to partner effectively with business partners

Responsibilities:

• Work with a range of business units, including product development, engineering, cybersecurity and marketing, to ensure that products and services are in compliance with relevant rules, laws, regulations and industry standards

• Collaborate with product teams to align compliance requirements with business and technology roadmaps

• Monitor evolving regulatory landscapes (e.g. GDPR, CCPA/CPRA, ePrivacy, AI Act, DORA) and translate legal requirements into actionable guidance

• Educate product and engineering teams on legal and regulatory considerations for new technologies and product features

• Work with other members of the commercial legal team to assist with the negotiation of commercial contracts, including high-value enterprise agreements, data-sharing agreements, and other strategic transactions

Experience Requirements:

• At least two years’ experience in designing and conducting robotics-related projects

Other Requirements:

• Strong hand-on skills with proficiency in at least one of the fields: CAD design (AutoDesk, Solidworks, etc.); PCB design; CNC machine operations; Electric or hydraulic motor development and control (For hardware)

• Strong programming skills with proficiency in at least one of the fields: ROS; Embedded systems; Deep learning using PyTorch or Tensorflow (For software)

• Strong interest in one or multiple of the following topics: Control and Estimation

• Strong interest in SLAM

• Strong interest in Robot Design and Dynamic Modeling

• Strong interest in Multi-robot and Swarm Systems

• Strong interest in Machine Learning, including Deep Learning, Imitation Learning, Reinforcement Learning etc.

• Strong interest in Perception, including Computer Vision, Tactile Perception, Audio Perception, Robot Dialogue

• Strong interest in Cognitive Robot and Human-robot Interaction

• Strong interest in Task and Motion Planning

• Strong interest in Other related fields in Robotics

Education Requirements:

• Master or Ph.D. degree in computational cognitive science, robotics, machine learning, applied mathematics, statistics, or related fields

Experience Requirements:

• Proven publication track record at conferences such as ICML, NeurIPS, ICLR, AAAI, ICRA, IROS, TPAMI, IJRR, etc.

• Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)

Other Requirements:

• Strong interest in one or multiple of the following topics: Multi-agent task planning and collaboration

• Strong interest in Multi-agent systems, predictive multi-agent systems

• Strong interest in Video understanding: human activity recognition and intent prediction

• Strong interest in Reinforcement learning, multi-agent reinforcement learning

• Strong interest in Algorithmic game theory

• Strong interest in Theory of mind, Bayesian cognitive science

• Strong interest in Physical and social interaction, human communications

• Broad understanding of the full machine vision pipeline from sensors to high-level algorithms

Responsibilities:

• Invent, analyze, design, develop and optimize multi-agent planning algorithms

• Collaborate in a team environment across multiple scientific and engineering disciplines, making the architectural trade-offs required to rapidly deliver software solutions

• Write clean readable code, debug complex problems that span systems, prioritize ruthlessly and get things done with a high level of efficiency

• Learn constantly, dive into new areas with unfamiliar technologies

Benefits:

• Health, dental and vision insurance

• 401(k)

• Flexible spending account

• Paid leave (PTO and parental leave)

• Social Impact opportunities

Education Requirements:

• Associate's Degree preferred in Computer Science, Networking, Audiovisual, MIS, or related technical degree

Experience Requirements:

• 1-3+ years of relevant experience

• Dante Certification Level 1 required

• Experience with AV signal flows and standards

• Working knowledge of operating control booth technologies (video switcher, audio board, graphics systems)

• Knowledge of AV systems (e.g., Zoom Room) operations and maintenance procedures

Other Requirements:

• Ability to travel

• Strong customer service skills

• Experience with ServiceNow and Jira ticket management

• Fundamental understanding of networking, Security, Unified Communications, and event services best practices

Responsibilities:

• Manage and support AV events, hybrid and onsite

• Support up to marquee off-site events such as Oktane, Company Kickoffs, etc.

• Address escalated Tier 1 and Tier 2 event support questions and issues

• Support daily tasks, projects, or programs to enhance and improve Audiovisual (AV) and Workplace Technology systems

• Resolve technical AV system problems in the DC, New York, and Chicago offices and globally as needed

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

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

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)