The Senior Backend Engineer will design scalable ML infrastructure using serverless architecture and lead technical initiatives. Responsibilities include optimizing model deployment, creating robust monitoring systems, and developing data transformation pipelines, while promoting best software engineering practices.

The Senior Data Platform Engineer will design and implement cloud data infrastructure and manage data pipelines to derive machine learning insights. This role involves collaboration with cross-functional teams to drive product development, monitoring performance, conducting code reviews, and ensuring adherence to coding standards.

The Solution Engineer serves as a technical advisor, translating customer business needs into scalable solutions using the Voyantis SaaS platform. Key responsibilities include managing project timelines, ensuring data integration accuracy, monitoring campaign performance, and maintaining strong client relationships while proactively identifying and resolving issues.

The Strategic Account Executive will drive expansion in the US by building relationships across various verticals, qualifying leads, managing the sales process, and closing deals. Responsibilities include collaborating with marketing teams and internal stakeholders, providing market feedback, and establishing a strong presence in the US market.

The Customer Success Manager will own client relationships, providing training and account management to help mobile advertisers optimize their revenue through data-driven decisions. Responsibilities include understanding client needs, identifying growth opportunities, and using consultative sales techniques to assist in scaling their business.

The Strategic Partnerships Manager will be responsible for building and managing relationships with key partners like Meta and Google. This role involves developing partnership strategies, negotiating agreements, monitoring performance, and collaborating with internal teams. They will represent the company at events, ensuring alignment with business goals and performance marketing strategies.

The VP Marketing will lead the marketing strategy to drive revenue, build brand equity, and manage product marketing functions. Responsibilities include overseeing demand generation, leading a marketing organization, optimizing campaigns, and analyzing market opportunities. The role requires extensive experience in brand building and category creation, managing various marketing channels, and reporting performance to management.

The Revenue Operations Manager will support Go-To-Market teams by designing and implementing operational processes and systems. This role involves managing Salesforce, ensuring data integrity, and providing insights through reporting and analytics. The manager will collaborate with the COO and GTM leaders to enhance efficiency and support strategic decision-making.

As a Data Scientist, you'll handle the full data lifecycle, from exploratory data analysis to model training and deployment. Collaborating with teams, you'll optimize models and support client onboarding while mentoring junior members and driving innovation through new tools.

The AI Product Manager will lead the core Machine-Learning platform at Voyantis, overseeing the entire product lifecycle. Responsibilities include collaborating with engineers and data scientists, defining metrics, and solving obstacles to achieve business goals in a fast-paced startup environment.

The Director of Data Analytics will lead the data analytics teams, manage client relationships, and oversee onboarding and support services. Responsibilities include strategic growth of the data team, fostering innovation, and ensuring client satisfaction through effective communication and customized solutions.

As a Data Analyst at Voyantis, you will analyze complex datasets, improve the data pipeline, support client onboarding, and create data visualization. Collaborating with clients to understand their needs, you'll also contribute to AI model design and build data analysis infrastructure.

The Data Operations Analyst monitors system performance and operations, flags and solves incidents, collaborates with various teams to improve processes, and implements new monitoring systems. The role requires a detail-oriented approach to handle multiple tasks while ensuring SLAs are met and productivity is enhanced.

The Senior Full Stack Engineer will lead the development of a new customer-facing app, focusing on scalable solutions, backend API development, and UI implementation. They will work on the ML platform’s configuration and management system, ensuring performance and security.

The Product Designer will enhance user experiences by designing intuitive interfaces. Responsibilities include conducting user research, creating wireframes and prototypes, ensuring UI consistency, and collaborating with various teams to optimize user interactions.

The Controller will oversee month-end and year-end closings, manage accounts receivable/payable, prepare financial statements, support budget preparation and forecasting, and ensure compliance with financial regulations. This role requires collaboration with cross-functional teams to optimize financial operations and requires a detail-oriented individual.

As a Backend Engineer for the Data Platform team, you will create and support scalable backend services that ensure data ingestion and processing for various applications. You will design and maintain RESTful APIs, optimize data pipelines, implement testing strategies, and collaborate with cross-functional teams. You will also oversee projects from conception to production, focusing on system performance and reliability.