Head of Applied AI

As the Head of Applied AI in a Sales AI company, you will play a pivotal role in overseeing the execution and delivery of AI projects within our product roadmap.

You will work closely with leadership to define the scope of work and drive successful execution. We are seeking a highly technical individual with a proven track record of delivering customer-facing AI functionality into production.

The ideal candidate should possess extensive knowledge of AI and machine learning techniques including hands-on, practical experience in developing and implementing AI solutions, predictive analytics, recommendation systems and machine learning algorithms.

Knowledge of AI applications in sales and customer relationship management is a plus.

Find out exactly what skills, experience, and qualifications you will need to succeed in this role before applying below.

Responsibilities include :

Lead the execution and delivery of AI projects in alignment with our product roadmap, working closely with cross-functional teams to ensure successful outcomes.

Demonstrate a clear leadership brand and build followership across the business.

• Stay abreast of the latest advancements in AI research and applications and assess their potential application within our product offering.
• Design and build scalable AI systems on AWS, ensuring robustness, performance and reliability.
• Drive continuous improvement in AI processes, methodologies, and best practices to optimize efficiency and quality.
• Provide technical leadership and mentorship across the engineering team, fostering a culture of innovation and collaboration.
• Developing and implementing ML models and algorithms, with a focus on customer-centric functionality.
• Act as a subject matter expert on AI-related topics, effectively communicating complex concepts to both technical and non-technical stakeholders.

About You

• 10+ years of relevant experience with at least 3-5 years in an ML / AI leadership role.
• Master’s degree or Ph.D. in a relevant discipline is highly preferred.
• Proven record of successfully delivering customer-facing Applied AI functionality into production. Previous work experience within a startup environment is a plus.
• In-depth knowledge of AI and ML techniques, such as deep learning, NLP, large language models, and generative AI.
• Strong problem-solving and analytical skills, with the ability to identify and address technical challenges effectively.
• Familiarity in setting up AI / ML systems in AWS and Databricks environments.
• Excellent communication, collaboration and planning skills, with the ability to work effectively across cross-functional teams.
• A passion for staying updated on the latest advancements in ML and AI and a strong drive to innovate and deliver high-quality solutions.

Ideal candidates will also have :

• High level of self motivation with great organizational skills.
• Hands-on person, working on the ground with a commitment to quality.
• Experience guiding continuous improvement of process and technology.
• Ability to take smart risks and champion new ideas.
• Excellent written and oral communication skills.

Join us and enjoy these perks!

• Competitive salary with bonus
• Equity
• Medical, Dental and Vision care contributions
• 401k Retirement Plan
• Unlimited Vacation Plan
• Employee referral bonus program
• $500 learning stipend to spend on books, courses or other training materials that help you develop skills relevant to your role or professional development
• Budget for home office equipment

EEO / D&I Statement

Databook provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, pregnancy, military and veteran status, age, physical and mental disability, genetic characteristics, or any other considerations made unlawful by applicable state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Databook expressly prohibits any form of workplace harassment based on race, color, religion, sex, national origin, pregnancy, military and veteran status, age, physical and mental disability, or genetic characteristics.

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