Design and optimize ML infrastructure using serverless technologies. Lead initiatives, collaborate with data teams, and implement monitoring systems for production ML models.

The Strategic Partnerships Manager will build and manage partnerships with Meta and Google, driving growth and optimizing performance marketing strategies.

As a Senior Data Platform Engineer, you'll design and implement scalable cloud data infrastructures, collaborate with cross-functional teams, and drive product development.

The Strategic Account Executive will drive US expansion by building relationships, closing new business, and managing complex sales processes while collaborating with various stakeholders.

The Customer Success Manager will enhance client success through relationship building, strategic guidance, and monitoring performance to ensure value from solutions.

As a Solution Engineer, you'll lead technical projects, ensuring client integration success while managing timelines and relationships, delivering data-driven solutions through effective communication and analytical skills.

The VP of Marketing will develop and implement cohesive marketing strategies, drive pipeline and revenue growth, lead brand and product marketing, and manage marketing teams to achieve business KPIs.

The Revenue Operations Manager will enhance operational efficiency, manage Salesforce, support forecasting, and collaborate closely with GTM leaders for data-driven decision making.

The Data Operations Analyst monitors system performance, resolves incidents, collaborates with teams, and optimizes monitoring processes and workflows.

As a Data Scientist, you will build, train, and deploy machine learning models, collaborate with teams, onboard clients, and drive innovation within data science workflows.

The Controller will manage month-end and year-end closings, prepare financial statements, oversee accounts, and enhance financial operations compliance.

The Data Analyst will improve data pipelines, analyze complex datasets, create value insights, visualize data, and contribute to AI model design.

The Backend Engineer will build and support scalable backend services for a data platform, focusing on data ingestion, processing, and delivery. Responsibilities include developing RESTful APIs, optimizing data pipelines, ensuring high code quality, and collaborating with cross-functional teams.

As a Customer Success Manager, you will manage client relationships, support their growth, analyze performance, and collaborate with internal teams to ensure client satisfaction.

The Product Designer (UX/UI) will enhance user experiences by conducting user research, creating designs and prototypes, and collaborating with cross-functional teams.

As an AI Product Manager, you will oversee the entire product lifecycle of an ML platform, collaborating with engineers and data scientists to develop innovative solutions for data-driven growth.

The Senior Full Stack Engineer will lead the development of customer-facing applications, build systems for machine learning management, and ensure performance and maintainability at scale.

Lead a team of Software Engineers and Data Scientists, driving technical direction, ensuring high-quality software delivery, and fostering professional growth through mentorship.

The Senior Full Stack Engineer will design scalable solutions, lead feature development from user needs to implementation, and ensure architecture supports performance and security.

Lead revenue growth in India, managing sales, customer success, and partnerships. Develop strategies and build strong client relationships in the digital advertising and SaaS sectors.