AI Engineer, Databook

Salary not provided

AWS

TypeScript

JavaScript

Python

Mid and Senior level

San Francisco Bay Area

Office located in Palo Alto, CA

Strategic Relationship Management platform

Be an early applicant

Strategic Relationship Management platform

101-200 employees

B2BArtificial IntelligenceEnterpriseProductivityAnalyticsMarket researchSaaSSales

Be an early applicant

Salary not provided

AWS

TypeScript

JavaScript

Python

Mid and Senior level

San Francisco Bay Area

Office located in Palo Alto, CA

101-200 employees

B2BArtificial IntelligenceEnterpriseProductivityAnalyticsMarket researchSaaSSales

Company mission

To help improve rep performance at scale.

Job

Company

Role

Who you are

3–6 years of experience building production AI or machine learning solutions
Deep hands-on expertise with AWS and modern AI frameworks
Proficiency in Python and/or JavaScript/TypeScript
A strong understanding of agentic architectures, LLMs, and integrating with provider APIs
Creative problem-solving skills and a passion for delivering innovative AI-powered products

What the job involves

Design, build, and use both our own and existing frameworks to deliver intelligent AI solutions at the core of Databook’s platform
Develop and optimize multi-agent systems and agentic workflows that deliver real impact for global sales organizations
Integrate with provider APIs to solve complex business challenges
Work closely with a talented team to deliver reliable, scalable AI products
Continuously experiment with new AI technologies, advocate for improvements, and ensure best-in-class quality and performance
PST time zone - working hours

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, and was recognised as a which is a clear indicator of the company’s reputation and scalability.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

-1% employee growth in 12 months

Glassdoor (3.4)

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

Palo Alto, CA

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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