This is a role that we hire on an ongoing basis throughout the year. If you choose to apply for this role, your information will be reviewed by our recruiting team and we will reach out to you if your background matches an opening at this time or in the future.

About Databook

Databook is the world’s first AI-powered enterprise customer intelligence platform. Dubbed “Moneyball for Sales”, Databook was founded in 2017 to give enterprise sales representatives and go-to-market teams a differentiating advantage. Today, leading enterprise companies rely on Databook to help their teams engage as experts – improving the buying experience for customers and accelerating revenue acquisition. Our customers include Microsoft, Salesforce, Databricks, and more. We are aSeries B company backed by Bessemer Ventures, DFJ Growth, M12 - Microsoft’s Venture fund, Salesforce Ventures and Threshold Ventures. We are a customer-focused, innovative, and collaborative learning organization. We are headquartered in Palo Alto, CA with a distributed team working across the globe.

About our Technology Team

The Engineering team at Databook brings together collaborative and technically passionate individuals to deliver innovative customer intelligence solutions that drive real value for our clients. Led by past Google and Salesforce engineers, this group offers an opportunity to explore all aspects of the engineering lifecycle, to be close to the client, and to make a real difference. We give our engineers a lot of autonomy to own and solve complex, novel problems - from system design to natural language processing (NLP) and machine learning (ML). The Engineering team offers a place where engineers can collect an abundance of experience and practice their leadership skills; all in a hyper-growth context.

The Opportunity

Data is core to the value Databook provides to our customers. The intelligence, insights, analysis and recommendations that we deliver are all based on sophisticated approaches to bringing together and understanding many disparate types of data that reflect the state of the world.

As a Senior Software Engineer in the Core Data team you will be solving complex and novel problems to make it easier and quicker for us to deliver even more value across 1st, 2nd and 3rd-party datasets. You will be designing and building solutions for high performance ingestion, storage and analysis of data to surface real-time recommendations and interactive experiences. Pre-loading and caching policies, dynamic extension and access controls, data dependencies and time travel are some of the gnarly problems you’ll get to work on.

Specifically you will:

• Design and build components for our Meta DB; a heterogeneous platform that brings together structured, unstructured, time-series, ML-based and aggregate data in a unified, dynamically schema’ed abstraction.
• Own components end-to-end, collaborating with Product, Machine Learning and Application teams to understand, define, prioritize and deliver high value capabilities.
• Collaborate with our SRE/DevOps team to plan data services/capacity, vett vendors and commercial offering, and troubleshoot installed systems when required.
• Contribute to group-wide quality, performance and security objectives.
• Help with hiring new engineers and mentoring other engineers across the Technology Team.

About You

• 5+ years hands-on software engineering on large scale, high performance, data oriented systems.
• Highly proficient designing and building substantial, distributed systems in Python and/or Node.js from scratch.
• Bachelor’s degree in Computer Science, Computer Engineering, similar technical field or considerable relevant experience.
• Excellent communication, collaboration, reporting, analytical and problem solving skills.

Ideal candidates will also have:

• Ability to navigate ambiguous/underspecified problems and think abstractly.
• An entrepreneurial orientation; versatile and always seeking growth.

Join us and enjoy these perks!

• Competitive salary with bonus
• Equity
• Medical, Dental and Vision care contributions
• 401k Retirement Plan
• 4 weeks vacation plus holidays
• 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
• Complimentary subscription to Masterclass
• Budget for home office equipment

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.

*We will consider remote work for candidates in Arizona, California, Colorado, Florida, Illinois, Massachusetts, New York, Tennessee, Texas, Virginia and Washington. Remote work requires periodic travel to our headquarters in Mountain View, CA every 2-3 months.