Senior Backend Engineer - AI/ML Enterprise SaaS at

San Francisco · Full Time

We're on a mission to help businesses make decisions based on real activity data, not intuition.

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Job Description is the AI platform for data-driven enterprise companies. We're building the world's largest self-updating business activity and relationship graph. We're leveraging ML and AI to deliver real-time insights to business leaders and executives. Our team members value one another, our customers, radical transparency, and end-to-end ownership.

As a Senior Backend Engineer you will work with a vast amount of business data, design APIs, write machine learning and automation code, and build scalable systems.

We value ownership highly—the ability to take an idea through all the stages from conception to shipping a product. This reflects throughout our company, but is especially true in engineering. As an engineer at, you'll be a part of highly independent and autonomous team. Since we're building out a robust data layer that needs to be presented elegantly to the end user, you'll be working with a large array of different technologies and fields. Expect lots of interesting challenges.

* Design, implement, test, and maintain features in the following core systems within our platform:
* A scalable, fault tolerant system for synchronizing tens of billions of sales data records into Customer Relationship Management (CRM) systems.
* A social graph of the world’s sales data, incorporating hundreds of millions of records relations sales, people, companies, and deals to create actionable advice for sales and marketing teams.
* An intelligent system for matching sales activity (e-mails, calendar data, calls) with sales data records from Customer Relationship Management (CRM) systems, incorporating both complex business rules and using Machine Learning to leverage the company’s social graph.
* Our core infrastructure, including areas such as user management, authentication and authorization within our product.
* Build monitoring and alerting tools to prevent our application from being unavailable; be part of weekly on-call rotations to quickly resolve any infrastructure issues whenever our application becomes unavailable.

* 5+ years of professional experience working on backend systems in an enterprise environment
* 3+ years experience programming in Python 2.x/3.x or Java
* Experience with enterprise-grade stack for scalable apps including messaging broker, in-memory storages, NoSQL and key-value databases
* Strong knowledge of TDD, Unit and automated tests paradigms
* Strong skills in SQL and RDBMS solutions
* Understanding of SOA, micro-services and event-driven architecture
* Experience with containerized applications, Docker and Kubernetes are appreciated
* Possess a DevOps as a Culture mindset, AWS experience is a plus
* Strong knowledge of HTTP stack and REST principles for integration with 3rd-party vendors
* Bachelor’s Degree in Computer Science, Computer Engineering, or in a closely related discipline is headquartered in San Francisco, CA and is backed by Silicon Valley’s top investors, including Y-Combinator, Lightspeed Venture Partners, GGV, Index, and Shasta. 

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What We're Building is the AI platform for data-driven sales and marketing, built on a massive graph of business relationships. We give sales leaders a complete picture of sales activities and leverage AI to help them manage their teams based on hard data, rather than assumptions. Marketing teams gain visibility into how their leads move through the funnel after being passed to sales, allowing them to attribute sales activity to the right leads, campaigns, and opportunities. With AI, is finally bridging the gap between sales and marketing.

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