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:

• 1+ years

Experience Requirements:

• 3+ years

Experience Requirements:

• 3+ years

Benefits:

• Competitive salary, equity, and performance bonuses

• Paid sick leave

• Latest MacBook Pro and best-in-class tools

• Comprehensive health insurance coverage

• Paid parental leave

Education Requirements:

• Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field from a Tier-1 institution

Experience Requirements:

• 4–7 years of experience in AI/ML development, including hands-on work with LLMs systems

• Demonstrated ability to take research concepts into production-grade systems

Other Requirements:

• Strong proficiency in Python and ML frameworks like TensorFlow or PyTorch

• Experience with Large Language Models (e.g., GPT, Claude, LLaMA) including prompt engineering and fine-tuning

• Hands-on knowledge of reinforcement learning, planning algorithms, and autonomous agent frameworks

• Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices

• Strong understanding of AI pipelines, API development, and system integration

Responsibilities:

• Design and build AI agents that autonomously plan and perform complex tasks using LLMs, reinforcement learning, and symbolic Machine Learning & NLP: Develop and fine-tune NLP models for natural language understanding, contextual decision-making, and conversational

Experience Requirements:

• 5+ years of product management experience, preferably in search- or field service-related products

• Experience with AI-powered diagnostics, field service management (FSM), or customer support automation.

Other Requirements:

• Familiarity with modern search concepts vector/hybrid search, RAG architectures, reinforcement learning, NER, query expansion/rewriting, knowledge graphs, intent recognition, and conversational search

• Strong expertise in leveraging data and user behavior for search optimization

• Experience with customer service and field service management (FSM) platforms such as ServiceNow, Salesforce Service Cloud, or Microsoft Dynamics.

Responsibilities:

• Define and execute the product roadmap for Neuron7’s Search product, focusing on search relevance, configurations, and insights Define and execute the product roadmap for Neuron7’s Search products, focusing on search relevance, configurations, and insights

• Develop AI-driven insights to help customers track and improve search KPIs

• Work with data science and engineering teams teams to implement intelligent search capabilities like vector/semantic search, RAG, and reinforcement learning for search optimization

• Explore and implement concepts for Conversational Search where relevant for service cases

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.

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 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.

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:

• 6+ experience as a Data Scientist, with a focus on AI-driven environments.

• Expertise in data manipulation and analysis tools (e.g., Python, R, SQL).

• Extensive experience with machine learning frameworks and algorithms.

• Strong familiarity with both structured and unstructured data sources.

Other Requirements:

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

• A collaborative mindset and a passion for innovation, with a proven track record of leading projects to success.

Responsibilities:

• Development and implementation of advanced data models to extract insights from complex datasets.

• Collaborate with cross-functional teams to devise data-driven solutions for service optimization.

• Conduct experiments and analyses to enhance service predictions and outcomes.

• Present findings and actionable recommendations to stakeholders, translating complex data insights into clear, understandable concepts.

• Mentor junior data scientists and foster a collaborative team environment.

Benefits:

• Competitive salary, equity, and spot bonuses.

• Paid sick leave.

• Latest MacBook Pro for your work.

• Comprehensive health insurance.

• Paid parental leave.

Experience Requirements:

• 4+ years of experience in data engineering, with a focus on building large-scale data systems. In-depth knowledge of ELT processes and Lakehouse architecture.

• Data Pipelines: Expertise in Python and Scala for data pipeline development. Proven experience with Apache Spark and Databricks for big data processing and analytics.

• Hands-on experience with observability tools like Prometheus, Grafana, and ELK stack/OpenSearch.

• Experience with real-time streaming systems such as Kafka and Flink.

• Experience in working with large datasets and high-throughput data environments.

Other Requirements:

• Familiarity with cloud platforms like Azure, GCP, or AWS.

• Strong problem-solving skills and ability to work in fast-paced environments.

• Excellent communication and collaboration skills.

Responsibilities:

• Development and implementation of advanced data models to extract insights from complex datasets.

• Collaborate with cross-functional teams to devise data-driven solutions for service optimization.

• Conduct experiments and analyses to enhance service predictions and outcomes.

• Present findings and actionable recommendations to stakeholders, translating complex data insights into clear, understandable concepts.

• Mentor junior data scientists and foster a collaborative team environment.

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 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, 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.

• Hands on experience in deployment

• 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.

Education Requirements:

• A Bachelor’s degree (or higher)

• Strong curiosity about how people think, express themselves, and how to distill, clarify, and label that information for AI and machine learning [applications](http://applications.Excellent).

Other Requirements:

• Excellent Communication Skills: Strong ability to communicate complex technical information clearly and concisely, both written and verbal.

• Technical Document Comprehension: Ability to read and understand technical documents, and annotate them with precision.

• Graph & Flowchart Creation: Hands-on experience in creating graphs, charts, and flowcharts to visualize technical data.

• Attention to Detail: A keen eye for ensuring accuracy in data annotation and visualization.

• Technical Aptitude: Comfortable working with technical information and turning it into easily understandable visuals.

• Flexible Working Hours: Availability to work flexible hours, primarily in the PST time zone.

• Immediate Availability: Must be able to start immediately and commit to the full 6-month contract.

Responsibilities:

• Document Review & Annotation: Thoroughly analyze technical documents, and accurately annotate key information and data points.

• Graph & Flowchart Creation: Translate complex technical specifications into clear and concise graphs and flowcharts, ensuring accuracy and clarity.

• Data Visualization: Develop graphs, charts, and other visual data representations to support documentation and aid in understanding.

• Collaboration: Work closely with technical teams to ensure correct representation of data and processes.

• Quality Control: Ensure all annotations and visual elements meet accuracy standards and align with the original documentation.

Benefits:

• Attractive salary + Bonus

• Very good equity program

• Flexible working hours

• 100% company-paid medical insurance

• Daily catered lunch, free snacks, etc.

Experience Requirements:

• 8 - 10 years of industry experience as a Front-end engineer.

• 7+ years of full-time hands on experience as software developer working on modern frontend frameworks like ReactJS.

• It is a bonus if you do have skills surrounding Docker, Node, NEXT JS, Java (Spring Boot), GraphQL, JEST, CI/CD workflow.

• Experienced in developing responsive, interactive websites.

• Experience writing unit and e2e test cases.

Other Requirements:

• Problem-solving attitude.

• Good interpersonal skills, team player and able to work with different cultures.

• Extensive knowledge of agile software development

Responsibilities:

• Participate in the entire product development lifecycle, focusing on coding and debugging

• Write clean code to develop functional web applications

• Troubleshoot and debug applications

• Perform tests to optimize performance

• Collaborate with different stakeholders to integrate user-facing elements with server-side logic

Benefits:

• Attractive salary + Bonus

• Very good equity program

• Flexible working hours

• 100% company-paid medical insurance

• Daily catered lunch, free snacks, etc.

Experience Requirements:

• 4-8 years of product marketing experience in the B2B space, including driving messaging, positioning, and sales enablement.

• Excellent understanding of the development, testing, test automation, and/or DevOps market. Candidates coming from SaaS background will be preferred.

• An ability to understand tech and developer software including buyer behaviour and ideal customer profiles and translate tech content into great marketing material

Other Requirements:

• Proven experience creating marketing plans & strategy, customer research, competitive analysis, product requirements, messaging, pricing, etc.

• Experience setting up campaigns and reporting with marketing automation platforms

• Excellent project management, time management, and problem-solving skills with strongattention to detail.

• Exposure in working towards/ enabling B2B Pipeline Generation, including managing campaigns and ROI analysis.

Responsibilities:

• Develop product positioning, messaging, and packaging that resonates with customers and differentiate our organization in the market

• Conceptualize and create educational product and solution content for a variety of platforms

• Understand enterprise software buying/selling processes involving multiple decision-makersfor software purchases.

Benefits:

• Attractive salary

• Flexible working hours

• 100% company-paid medical insurance

• Daily catered lunch, free snacks, etc.

Education Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field. Master's degree preferred.

Experience Requirements:

• 2-6 years of Pre-sales experience working with B2B SaaS companies

• Proven experience in a presales or technical sales role, preferably in the SaaS industry.

• Experience with CRM systems, such as Salesforce or HubSpot.

Responsibilities:

• Collaborate with the sales team to understand customer needs and requirements.

• Conduct product demonstrations and presentations to showcase the features and benefits of our SaaS platform.

• Customize product demonstrations to align with customer-specific use cases and objectives.

• Respond to technical inquiries from potential clients and address any concerns or objections.

Benefits:

• Attractive salary + Bonus

• Very good equity program

• Flexible working hours

• 100% company-paid medical insurance

• Daily catered lunch, free snacks, etc.

Experience Requirements:

• 8+ years of experience in strong core java & J2EE skill

• 8+ years of experience in Spring Boot.

• 8+ years of experience in Spring and REST/SOAP services

• Strong knowledge in Java web application design and development

• Strong knowledge of Spring frameworks (Spring Boot, Spring integration, Spring Security, etc.), JPA, RESTful APIs

Other Requirements:

• Results oriented and focused on meeting deliverable timelines.

• A team player with excellent communication skills.

Responsibilities:

• Responsible for design & developing products involving Java, JEE, Springboot.

• Object-oriented analysis and design using common design patterns.

• Deep insight of Java and JEE internals such as memory management, transaction management, etc.

• Design and develop features and modules for mission-critical applications.

Benefits:

• Attractive salary + Bonus

• Very good equity program

• Flexible working hours and Work from Office

• 100% company-paid medical insurance

• Daily catered lunch, free snacks, etc.

Education Requirements:

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

Experience Requirements:

• 4-7 years of experience in AI engineering, machine learning, or related fields.

• Proven track record of developing and deploying AI models in production environments.

• Strong programming skills in languages such as Python, Java, or go.

• Expertise in machine learning frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn.

• Experience with data processing tools like Hadoop, Spark, or similar.

Other Requirements:

• Solid understanding of statistics, probability, and algorithms.

• Familiarity with cloud platforms (AWS, Azure, Google Cloud) for AI/ML deployment.

• Excellent communication and collaboration skills.

Responsibilities:

• Lead the design, development, and deployment of AI and machine learning models.

• Collaborate with cross-functional teams to identify and solve complex problems using AI.

• Conduct research to advance the state-of-the-art in AI and machine learning.

• Implement scalable AI solutions for real-world applications.