Head of Applied AI, Databook
Office located in Palo Alto, California
Strategic Relationship Management platform
Be an early applicant
Strategic Relationship Management platform
101-200 employees
Be an early applicant
Office located in Palo Alto, California
101-200 employees
Company mission
To help improve rep performance at scale.
Role
Who you are
- 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
- 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
- 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
What the job involves
- 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
- 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
Our take
Databook delivers the industry's first Strategic Relationship Management (SRM) platform, to enable sellers to create, manage, and maintain strategic relationships at scale. The platform encompasses a range of tools to help sales teams increase productivity and performance, with the flexibility to grow with companies as they develop.
The platform provides data-driven insights on everything from opportunity intelligence to propensity to buy, and stands out for crafting deliverables that are customized to key clients. Running entirely out of the cloud, it also makes it possible for its clients to minimize hardware outlay. By providing personalized, real-time insights, Databook makes it possible for successful businesses to expand their operation by recognising which companies are the most likely to buy.
Competition in this field is rife, with HubSpot Sales Hub, Guru, Showpad Content and Highspot among the companies rivalling Databook. But the solution has been praised for being particularly user-friendly, with key features accessible via a few straightforward clicks. Databook now serves an impressive roster of clients, including Microsoft and Salesforce, which is a clear indicator of the company’s reputation and scalability.
Steph
Company Specialist at Welcome to the Jungle
Insights
-1% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Mar 2022
$50m
SERIES B
Apr 2021
$16m
SERIES A
Total funding: $71m
Company benefits
- Equity
- Employee referral bonus program
- $500 USD (or local currency equivalent) learning stipend
- Complimentary subscription to Masterclass
- $750 USD (or local currency equivalent) budget for home office equipment
- Medical, Dental and Vision care contributions
- 401k Retirement Plan
- 4 weeks vacation plus holidays
Company HQ
Evergreen Park, Palo Alto, CA
Articles
Leadership
Anand Shah
(CEO)They were an Analyst at Ernst & Young, then Goldman Sachs. Formerly an Engagement Partner at Accenture. Co-founded Databook in 2016.
Alex Barrett
(Product)They studied Modern Languages at Cambridge University. Producer at Al Jazeera, Blakeway Productions and the BBC. Co-founded Databook in 2016.
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