Head of Applied AI

The Head of Applied AI at Tabs holds a vital role in shaping and executing our AI Product Strategy. Responsibilities include architecting, building, and deploying AI applications leveraging LLMs like OpenAI and LangChain, working across product and engineering teams to seamlessly integrate AI features, and partnering with various departments to illustrate how AI strategies add value. You'll also be responsible for managing relationships with stakeholders and showcasing Tabs’ innovation in AI to the outside world.

Candidates for the Head of Applied AI position at Tabs should demonstrate proven expertise in deploying AI applications, especially using LLMs like OpenAI APIs and LangChain. An entrepreneurial background, ideally with startup experience, is crucial, along with strong problem-solving capabilities and the ability to thrive in high-ambiguity environments. Achieving results consistently and showcasing resilience in challenges are equally important.

The Head of Applied AI directly contributes to Tabs' business objectives by aligning AI initiatives with strategic goals. By developing innovative AI applications that enhance revenue automation, you help finance leaders at B2B companies achieve greater efficiency and insight, which ties back to Tabs' mission of saving time and improving collections for our clients.

At Tabs, the work environment is collaborative, fast-paced, and innovative. As the Head of Applied AI, you'll engage with a diverse range of teams and stakeholders. The role requires flexibility to adapt strategies as needed, fostering a culture of creativity and entrepreneurial thinking to push AI initiatives forward.

Tabs is exciting for a Head of Applied AI due to its dedication to pioneering AI solutions for finance leaders and its strong focus on innovation in a rapidly evolving landscape. The entrepreneurial spirit within our team encourages bold ideas and creative problem-solving, making it a remarkable space for professionals eager to make an impact with cutting-edge technology.

When answering this question, highlight specific projects where you utilized Large Language Models, detailing how you integrated them into applications and the outcomes achieved. Discuss any challenges faced and how you overcame them, showing your critical thinking and adaptability.

Demonstrate your ability to make data-driven decisions by referencing frameworks or methodologies you use to prioritize AI initiatives. Discuss how stakeholder feedback, market trends, and business goals influence your decision-making process.

Answer this by outlining methods for fostering communication and collaboration, such as regular cross-departmental meetings, collaborative tools, and shared goals. Provide examples of successful integrations resulting from these strategies.

Discuss your approach to navigating uncertainty, including techniques for gathering information, testing hypotheses, and making decisions with limited data. Highlight instances where you successfully thrived despite the lack of clear direction.

Explain the importance of data in training and validating models and how you ensure high data quality. Share experiences where effective data management contributed to successful AI application outcomes.

Outline the project stages, your specific contributions, and the deployment outcome. Emphasize teamwork, resilience in overcoming obstacles, and how the project aligns with business goals.

Discuss how user feedback is integral to refining AI applications, enhancing usability, and ensuring the solution meets user needs. Provide examples of projects where user insights led to significant improvements.

Articulate your long-term vision for AI in finance, including trends you foresee and how they can achieve efficiency and drive value for companies. Show your awareness of market shifts and technology advancements.

Describe specific resources, networks, and events you engage with to keep informed about AI advancements. Highlight any associated communities or professional organizations that you actively participate in.

Convey your alignment with Tabs' mission and values, share what excites you about their focus on finance leaders, and express enthusiasm about contributing to a company that champions innovation and entrepreneurial spirit.