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 a Series 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 team-oriented learning organization. We are headquartered in Palo Alto, CA with a distributed team working across the globe.The OpportunityWe are looking for an ambitious Senior Engineering Manager to join Databook, the pioneer and leader in Strategic Relationship Management (SRM). The company’s award-winning SRMplatform leverages advanced AI and LLM technology to empower the world’s largest B2B sales teams to create, manage, and maintain strategic relationships at scale. Customers include Microsoft, Salesforce, AWS, Databricks and many of the largest and fastest growing companies.The platform ingests and interprets billions of financial and market data signals to generate actionable sales strategies that connect the seller’s solutions to a buyer’s financial pain and urgency. On average, Databook clients achieve 5x more customer meetings, 3x more pipeline,2.5x larger deals and 1.5x faster cycle time.Databook is a Series B growth startup, backed by some of the most successful SaaS investors, such as Bessemer, DFJ Growth, Salesforce Ventures,



Threshold and M12 Venture and and has raised $71m to fuel accelerated expansion. We have a friendly, entrepreneurial and collaborative culture. We are headquartered in Palo Alto, CA with a distributed team working across the globe. As a Senior Engineering Manager, you will be responsible for leading our engineering team to design, develop, and deliver cutting-edge AI solutions that are not only technologically advanced but also aligned with our clients's needs. You will work in collaboration with the Director of ML, VP Engineering and RD Leadership, leveraging your skills and experience to ensure the effective planning and execution of our product roadmap.Specifically, the role has the following responsibilities:This role is reporting to the Director of Machine Learning to oversee the development of the Core DatabookGPT engine and model team, ensuring timely delivery and optimal architecture.Technical Leadership: Demonstrate robust technical leadership through leading, mentoring, and expanding the software engineering team, fostering a culture of growth and excellence.Product development: The role reqiures strong collaboration with senior technical stakeholders and program and product managers to ensure the delivery of top-tier AI products.Execution focused: Maintain a hands-on approach through code reviews, technical discussions, and domain expertise development. This person will develop and refine development processes, metrics, and team culture to drive efficiency and innovation.Collaboration: This role requires close collaboration with other engineering and product leaders to design and build the AI&ML; engine architecture for accuracy, scalability, and performance. We have exacting standards on being the #1 Trusted

📌 Engineering Manager (Toronto)
🏢 Databook
📍 Toronto