Experience Requirements:

• 5-7 years of experience in B2B (preferably enterprise) Sales/Revenue Operations

• 5-7 years of experience with GTM tech stack including SFDC (required), sales efficiency tools, and customer lifecycle management tools

• 2-4 years of experience in Revenue Operations team building and/or management

• Previously/currently responsible for fast-growing multi-million dollar quotas

• Strong analytical skills and experience with data-driven decision-making

Other Requirements:

• Proven track record of scaling pipeline and revenue growth

• Excellent communication skills, with the ability to collaborate effectively across teams

Responsibilities:

• Oversee and optimize the revenue operations process across Sales, Marketing, and Customer Success

• Develop and maintain dashboards to track key revenue metrics and provide actionable insights. Lead cross-functional projects to support strategic revenue initiatives

• Own quota design and setting, territory design, pipeline structure and measurement, sales process, KPI design and visualization across the revenue organization – pre-sale to post sale

• Oversee forecasting and reporting on sales pipeline - track progress, pinpoint trends, and fine-tune conversion rates

• Develop and implement processes and tools, enhancing efficiency, productivity, and overall revenue performance

Experience Requirements:

• 5-7 years of experience in B2B (preferably enterprise) Marketing Operations, Growth Marketing, and/or Demand Generation

• 5-7 years of experience with Marketing Automation, CRMs, and tracking tools

• 2-4 years of experience in Marketing team building and/or management

• Previously/currently own multi-million dollar marketing spend budgets

• Strong analytical skills and experience with data-driven decision-making

Other Requirements:

• Proven track record of managing campaigns that drive pipeline and revenue growth

• Excellent communication skills, with the ability to collaborate effectively across teams

Responsibilities:

• Own and execute scaled enterprise demand generation and customer marketing campaigns/initiatives to drive meaningful pipeline growth and expansion opportunities

• Own and optimize overall Marketing spend allocation and ROI

• Develop and optimize overall lead flow (MQL/SQL) tracking and reporting

• Own and accountable for growth forecasting and overall pipeline metrics

• Own, optimize, and maintain Marketing tech stack and performance

Experience Requirements:

• 2 to 4 years of relevant industry experience

Other Requirements:

• Experience in Linear algebra, statistics & Probability skills, such as distributions, Deep Learning, Machine Learning

• Strong mathematical and statistics background is a must

• Experience in machine learning frameworks such as Tensorflow, Caffe, PyTorch, or MxNet

• Strong industry experience in using design patterns, algorithms and data structures

• Industry experience in using feature engineering, model performance tuning, and optimizing machine learning models

• Hands on development experience in Python and packages such as NumPy, Sci-Kit Learn and Matplotlib

• Experience in model building, hyper Skills:- Data Science, Python, Computer Vision and Deep Learning

Responsibilities:

• Analyze large amounts of raw information to find patterns that will help improve our company.

• Build data products to extract valuable business insights.

• Help our company analyze trends to make better decisions

Experience Requirements:

• 1 to 2 years of relevant industry experience

Other Requirements:

• Experience in Linear algebra, statistics & Probability skills, such as distributions, Deep Learning, Machine Learning

• Strong mathematical and statistics background is a must

• Experience in machine learning frameworks such as Tensorflow, Caffe, PyTorch, or MxNet

• Strong industry experience in using design patterns, algorithms and data structures

• Industry experience in using feature engineering, model performance tuning, and optimizing machine learning models

• Hands on development experience in Python and packages such as NumPy, Sci-Kit Learn and Matplotlib

• Experience in model building, hyper Skills:- Python and Django

Responsibilities:

• Analyze large amounts of raw information to find patterns that will help improve our company.

• Build data products to extract valuable business insights.

• Help our company analyze trends to make better decisions

Education Requirements:

• Bachelor’s degree in product design or engineering

Experience Requirements:

• 2 - 4 yrs

Other Requirements:

• Strong experience in a dynamic product management role

• Proven experience overseeing all elements of the product development lifecycle

• Highly effective cross-functional team management

• Previous experience delivering finely-tuned product marketing strategies

• Exceptional writing and editing skills combined with strong presentation and public speaking skills

• Skills:- Product Management and Product Strategy

Responsibilities:

• Drive the product and business-planning process across cross-functional teams of the company

• Analyze consumer needs, current market trends, and potential partnerships from an ROI and build vs. buy perspective

• Assess current competitor offerings, seeking opportunities for differentiation

• Analyze product requirements and develop appropriate programs to ensure they’re successful achieved

• Develop, implement, and maintain production timelines across multiple departments

Experience Requirements:

• 4+ yrs

Other Requirements:

• Preceding experience with ReactJS workflows and libraries like Flux, Redux, Create React App, data structure libraries, Material UI/Bootstrap, VideoJS, JSON libraries

• Experience building dashboards with rich media (image galleries, video playback)

• Strong proficiency in JavaScript, including DOM manipulation, event handlers, component lifecycle, webhooks, and the JavaScript object model

• Proficient in RESTful API development and working with backend servers (i.e. Python/Flask)

• Built and deployed customer-facing services and products at scale

• Developed unit and integration tests

• Experience using Postman for API testing, test automation using Selenium, and front-end performance testing frameworks

• Worked on products where experimentation and data science are core to development

• Experience with large-scale distributed systems that have thousands of micro services and manages millions of transactions per day

• Solid instruction-level understanding of Object Oriented design, data structures, and software engineering principles

• Must have experience using Git for code review and version control

• Experience with the following tools desirable: AWS Tools (Amplify/S3/EC2)

• Experience with open source projects in a startup environment desirable.

• Skills:- Javascript, React.js and Redux/Flux

Responsibilities:

• Participate heavily in brainstorming of system architecture and feature design

• Take UI Mocks from design team and provide properly styled, pixel accurate dashboards in React JS using standard component libraries and custom components

• Architect and create reusable, effective, and scalable JavaScript code/components

• Use additional JavaScript libraries such as Redux to manage the web application's state, derive computed data from the state of the system, and make asynchronous API calls

• Work cross functionally with Engineering, Data Science, Product, UX, BD, and Infrastructure teams

Experience Requirements:

• 2+ yrs

Other Requirements:

• Built and deployed customer-facing services and products at scale

• Developed unit and integration tests

• Solid instruction-level understanding of Object Oriented design, data structures, and software engineering principles

• You have a strong background in natural language processing, statistical modeling, and/or machine learning

• Experience with open source projects in a startup environment

• Experience with large-scale distributed systems that have thousands of microservices and manages millions of transactions per day

• Worked on products where experimentation and data science are core to the development

• Experience with Python and API frameworks (Flask)

• BS, MS or equivalent

• Skills:- Javascript, HTML/CSS, User Interface (UI) Design, React.js, Redux/Flux, Bootstrap, NodeJS (Node.js), Flask and RESTful APIs

Responsibilities:

• Participate heavily in the brainstorming of UI/UX architecture and feature design

• Interface with external customers and key stakeholders to understand and document design requirements

• Work cross-functionally with Engineering, Data Science, Product, UX, BD, and Infrastructure teams

• Drive best coding practices across the company (i.e. documentation, code reviews, coding standards, etc)

• Perform security, legal, and license reviews of committed code

Education Requirements:

• BSc degree in Marketing, Journalism or relevant field

Experience Requirements:

• 2 - 4 yrs

Other Requirements:

• Experience with SaaS and AI technology a must

• Proven work experience as a Content Marketing Manager

• Proficiency in MS Office/Google GSuite, or other Content Management Software

• Experience with Adobe product suite or similar software to create marketing material

• Understanding of web publishing requirements

• Prior experience with developer blog sites such as Medium, HackerNews, Quora, Stack Overflow.

• Editorial mindset with an ability to predict audience preferences

• Hands on experience with SEO and web traffic metrics

• Expertise in social media platforms

• Project management skills and attention to detail

• Excellent communication and writing skills in English is a must

• Must be a technology enthusiast that keeps up to date with the latest trends

• Skills:- Content Marketing

Responsibilities:

• Design content marketing strategies and set short-term goals

• Undertake content marketing initiatives to achieve business targets

• Collaborate with design and writing teams to produce high quality content

• Develop editorial calendar, delegate tasks and ensure deadlines are met

• Deliver engaging content on a regular basis and inspire team members

Education Requirements:

• Bachelors or Master’s degree in Computer Science or equivalent related field experience

Experience Requirements:

• 3+ years of experience in a DevOps end-to-end development process with heavy focus on service monitoring and site reliability engineering work

Other Requirements:

• Advanced knowledge of programming/scripting languages (Bash, PERL, Python, Node.js).

• Experience in Agile/SCRUM enterprise-scale software development including working with GiT, JIRA, Confluence, etc.

• Advance experience with core microservice technology (RESTFul development).

• Working knowledge of using Advance AI/ML tools are pluses.

• Working knowledge in the one or more of the Cloud Services: Amazon AWS, Microsoft Azure

• Skills:- DevOps, PyTorch, Bash, Perl and Python

Responsibilities:

• Help identify and drive Speed, Performance, Scalability, and Reliability related optimization based on experience and learnings from the production incidents.

• Work in an agile DevSecOps environment in creating, maintaining, monitoring, and automation of the overall solution-deployment.

• Understand and explain the effect of product architecture decisions on systems.

• Identify issues and/or opportunities for improvements that are common across multiple services/teams.

• This role will require weekend deployments

Education Requirements:

• BS, MS, or PhD in Computer Science, Software Engineering, Math, Electrical Engineering, or other STEM degree

Experience Requirements:

• 4+ years experience in front-end and back-end web development

Other Requirements:

• Built and deploxperience iyed customer-facing services and products at scale

• Developed unit and integration tests

• Worked on products where experimentation and data science are core to development

• Experience with large-scale distributed systems that have thousands of microservices and manages millions of transactions per day

• Solid instruction-level understanding of Object Oriented design, data structures, and software engineering principles

• Must have at least 4+ years experience in front-end and back-end web development with the the following tools: Python, Django, HTML5, CSS, NodeJS, AWS or Azure, Java or C/C++

• You have a strong background in natural language processing, statistical modeling, and/or machine learning

• Experience with the following tools: Google Cloud Platform, Objective C/Swift

• Experience with open source projects in a startup environment

• Skills:- Python, Django, HTML/CSS, NodeJS (Node.js), Amazon Web Services (AWS), Windows Azure, Java, C and C++

Responsibilities:

• Participate heavily in brainstorming of system architecture and feature design

• Interface with external customers and key stakeholders to understand and document design requirements

• Work cross functionally with Engineering, Data Science, Product, UX, BD, and Infrastructure teams

• Drive best coding practices across the company (i.e. documentation, code reviews, coding standards, etc)

• Perform security, legal, and license reviews of committed code

Education Requirements:

• BE, B.Tech or M.Tech in Computer Science, Information Technology, or E and C

Experience Requirements:

• 4+ years experience in front-end and back-end web development

Other Requirements:

• Built and deployed customer-facing services and products at scale

• Developed unit and integration tests

• Worked on products where experimentation and data science are core to development

• Experience with large-scale distributed systems that have thousands of microservices and manages millions of transactions per day

• Solid instruction-level understanding of Object Oriented design, data structures, and software engineering principles

• Must have at least 4+ years experience in front-end and back-end web development with the the following tools: Python, Apache Tomcat, Django, HTML5, CSS, NodeJS, AWS or Azure, Java, MySQL, Flask

• You have a strong background in natural language processing, statistical modeling, and/or machine learning

• Experience with the following tools: Google Cloud Platform, AWS

• Experience with open source projects in a startup environment

• Skills:- Python, HTML/CSS, MySQL, Amazon Web Services (AWS), Google Cloud Platform (GCP), DevOps, Systems Development Life Cycle (SDLC) and System integration testing

Responsibilities:

• Participate heavily in brainstorming of system architecture and feature design

• Interface with external customers and key stakeholders to understand and document design requirements

• Work cross functionally with Engineering, Data Science, Product, UX, BD, and Infrastructure teams

• Drive best coding practices across the company (i.e. documentation, code reviews, coding standards, etc)

• Perform security, legal, and license reviews of committed code

Benefits:

• Unique opportunity to work with an all-star team

• High-performing international and ambitious team

• Dynamic, collaborative, and inclusive work environment

Education Requirements:

• Computer Science or Engineering degree (preferred)

• Graduating in 2025 or 2026 (preferred)

Other Requirements:

• Availability during summer 2025 (6-12 weeks)

Education Requirements:

• Graduate/ Master’s in Computer Science

Experience Requirements:

• 1 – 5 years

Responsibilities:

• Write “clean”, well-designed code

• Produce detailed specifications

• Troubleshoot, test and maintain the core product software and databases to ensure strong optimization and functionality

• Contribute in all phases of the development lifecycle

• Follow industry best practices

Education Requirements:

• Graduate/ Master’s in Computer Science

Experience Requirements:

• 6+ years

Other Requirements:

• Good to have experience in Telecom/Financial Domain

Responsibilities:

• Review requirements, specifications and technical design documents to provide timely and meaningful feedback

• Create detailed, comprehensive and well-structured test plans and test cases

• Estimate, prioritize, plan and coordinate testing activities

• Design, develop and execute automation scripts using open source tools

• Identify, record, document thoroughly and track bugs

Education Requirements:

• Graduate in IT or Computer Science

Experience Requirements:

• 10+ years in CPaaS or related industry

Responsibilities:

• AI Product Development

• Market Research & Analysis

• Requirement Gathering

• Competitive Analysis

• Data-Driven Insights

Education Requirements:

• Graduate in IT or Computer Science

Experience Requirements:

• 7-to-10 years in CPaaS or related industry

Responsibilities:

• Product Documentation

• API Documentation

• Pre-Sales Support

• Customer Engagement

• Solution Proposals

Experience Requirements:

• 5-8 years

Responsibilities:

• Develop and maintain NLP models for real-time applications such as Chabot’s, virtual assistants, sentiment analysis, and other AI-driven projects

• Collaborate with data scientists and AI engineers to design and implement efficient solutions for processing large-scale datasets

• Write clean, scalable, and efficient Python code to develop AI modules and integrate them with existing applications

Experience Requirements:

• Deep domain expertise of data science, statistical analysis, and data visualization

• Adept at interacting with JSON REST APIs with standard tools (e.g., Postman)

• A generalist with working knowledge of data visualization libraries and packages used today: Python (SciPy/NumPy/pandas, Seaborn, Bokeh, etc.), R (ggplot2, grid), and JavaScript (D3.js, Vega, Plotly), etc.

• Fluency with a Git/GitHub version control workflow

Other Requirements:

• Strong Python fundamentals

• Experience with at least one of the following: Microsoft Azure Space/SpaceX, Google Cloud Platform, AWS

• Good basic understanding of servers

• Biological data visualization

• Graph Networks

• Side projects

• To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR

Responsibilities:

• Able to design/develop industry-leading data visualizations based on an understanding of common and more fine-grained data visualization/representation challenges, data problems, and eventually; relating to the use cases of our current/prospective customers.

• Understands the tradeoffs between graphics paradigms and speaking multiple visualization grammars, and how they relate to the data we have and that we’re trying to represent.

• In this role, you will lead data-driven decisionmaking with the team about which languages, frameworks, and libraries we should use to visualize customer data that is best matched to the twin challenges of exploratory data analysis and analytic presentation.

• Cultivate your knowledge and ours, and help educate our team in your areas of expertise.

Experience Requirements:

• 2-4 years of experience building and deploying production-grade data pipelines

• Strong Python fundamentals

Other Requirements:

• Experience with at least one of the following: Microsoft Azure Space/SpaceX, Linux command line

• Good basic understanding of NLP/NLU language modeling, ensemble methods in data engineering pipelines and correlation matrix datasets

• Experience with a data orchestration tool (Dagster, Airflow)

• Experience in CI/CD, DevOps

• Experience in API engineering

• Experience mentoring junior engineers

• Basic experience with training of machine learning models and archiving of artifacts

• Side projects

• Technical blog

• To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR

Responsibilities:

• As a mid-level Data Engineer you will be responsible for improving the architecture of a general-purpose data pipeline used to do ETL of various data sources: crawled web pages, various APIs, PDFs, text files, etc.

• You will build, maintain, scale and support existing data pipelines and deploy them on a Cloud Service Provider.

• You will ensure the proper storing of the raw and processed data.

• You will set up monitoring for this pipeline, re-run on failure and update the pipeline with improvements without disrupting ongoing operations.

• You will integrate this pipeline to feed data to our machine learning / language models and archive the model's artifacts (weights, hyperparameters, model training code versions) at each run, as well as load these artifacts into an API server. You will have the opportunity to learn more about NLP / NLU language models and how to train and evaluate them.

Experience Requirements:

• 1-4 years of experience training and evaluating a variety of language models and deploying them to production

• Strong machine learning fundamentals and Python skills

• Proficiency in at least one machine learning library like pytorch, tensorflow, keras, fastai, etc

Other Requirements:

• scientific mindset and interest in research and development

• Experience in MLOps / the deployment and serving of models

• Experience in experiment tracking tools e.g. Weights & Biases

• Actual NLP / NLU research experience (published papers, experiments)

• Experience in web crawling, pulling data from APIs, and processing different filetypes

• Experience mentoring junior NLP / NLU practitioners

• Side projects

• Techinical blog

• To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR

Responsibilities:

• As a mid-level NLP / NLU Engineer you will be responsible for the training and evaluation of the language models we use to find hidden relationships in proprietary and public data which we may obtain through our partners or crawl from websites, APIs, and files.

• You will examine data thoroughly to find out how it is best to clean, normalize and/or preprocess and create stop words lists.

• You will research about model architectures and choose the right ones through experimentation.

• You will train and optimize these models, logging the hyperparameters, metrics and performance of each run.

• You will be asked to experiment on ensembles of language models, optimizing for the business-specific metric our partners care about. For example, for financial institutions this would be the Sharpe or Sortino ratio.