Top Tech Jobs & Startup Jobs

The Manager, Sales is responsible for leading the firm's Innovation Funding services by fostering client relationships, generating new business opportunities, and driving sales targets. This role involves collaboration with firm leaders, outreach to prospects, team management, and maintaining CRM records as well as industry knowledge to tailor sales strategies.

The Principal, Tax Technology is responsible for leading tax automation strategy development and execution, managing project scope, timelines, and budgets. They mentor staff, support client service teams, and ensure on-time project delivery while managing client relationships and business development activities.

The Lead Data Scientist provides technical leadership in Data Science and AI/ML initiatives. Responsibilities include designing and implementing cloud-based solutions, collaborating with teams to develop scalable data architectures, and ensuring data security. The role requires strong communication skills and the ability to foster a positive team culture.

The Principal, Research and Development role involves developing and executing tax services, guiding practice projects, and enhancing client relationships. Responsibilities include overseeing operations, communicating with senior management, ensuring profitability through financial monitoring, and collaborating on acquisitions. The role requires excellent technical consulting skills and a strong track record in service delivery.

The Senior Tax Associate assists in VAT recovery processes, reviews invoices, conducts vendor research, reconciles accounts, and prepares project reports. They ensure quality and timely work, communicate with team members, and support the management with project tasks and improvements.

Lead / Demand Generation Senior Specialist responsible for creating leads, increasing sales velocity, and nurturing leads to build new pipeline. Collaborates with Sales Team to achieve company-wide goals and translates demand generation strategy into targeted campaigns.

The Data Scientist will develop AI/ML solutions, maintain data pipelines, and analyze complex datasets. They will work collaboratively in an Agile environment to enhance user experience and ensure compliance with data security policies while fostering a positive team culture.