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 a profitable and fast growing B2B Saas platform focused on understanding the world and providing actionable analysis and insights to our enterprise customers such as Microsoft, Salesforce and Databricks. 

The product and technology teams are executing on a roadmap of enhanced functionality for our customers and scaling our capabilities through the use of modern technologies such as Kubernetes, Service Mesh, Event-driven Microservices and multi-cloud deployment.

We have grown rapidly during the pandemic with the majority of our team being fully remote. Our leadership are veterans from Google, Salesforce and Accenture and you should expect to learn a lot.

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

We’re hiring Senior Backend Engineers to lead the development and maintenance of Databook’s core platform. You’ll work with our exceptional engineers to build breakthrough features for our customers while keeping our platform stable and scalable. If you’re excited about building the next generation customer intelligence platform, with a keen eye towards quality, then this is the role for you!

Specifically, you’ll be in charge of:

• Owning the full engineering lifecycle of important capabilities within the Databook platform, including designing, prototyping, building and maintaining scalable and performant distributed systems.
• Collaborating with (i) our machine learning teams to incorporate our ML assets into the core platform, and (ii) our front-end teams to ensure that we deliver powerful abstractions to our client platforms. 
• Engaging with colleagues across the organization to understand requirements and ensure that our technology meets those requirements in practice.
• Hiring new engineers and mentoring other engineers in the team.

About You

• 5+ years of hands-on professional experience developing backend systems, services and practical APIs
• Expertise in backend development using Javascript, with 3+ years of demonstrable experience developing production level applications using Node.js.
• Solid understanding of asynchronous programming principles using modern JavaScript (e.g. Promises, async/await, RxJS)
• Solid experience interfacing and integrating with all kinds of SQL (Postgres) and NoSQL (MongoDB, Redis) databases

Ideal candidates will also have:

• Experience in large scale distributed system designs including best practices around gRPC, event based architectures and micro-services.
• Experience with or interest in Machine Learning, and more specifically in NLP/NLG
• Expertise in implementing CRM integration with Salesforce (Apex, LWC) or Microsoft Dynamics 365 Business Applications (.net, C#)

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.