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 collaborative learning organization.

We are headquartered in Palo Alto, CA with a distributed team working across the globe.

We are looking for an ambitious Senior Engineering Manager to join Databook, the pioneer and leader in Strategic Relationship Management (SRM). 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.

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.





Technical Leadership: Demonstrate strong technical leadership through leading, mentoring, and expanding the software engineering team, fostering a culture of growth and excellence.

The role reqiures strong collaboration with senior technical stakeholders and program and product managers to ensure the delivery of top-tier AI products.

Maintain a hands-on approach through code reviews, technical discussions, and domain expertise development.

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 Account Intelligence platform.

Foster cohesion and reliability within the team while implementing high-functioning Software Development Life Cycle (SDLC) practices.

Innovation: Foster an environment of innovation and continuous improvement, promoting the exploration of new technologies and practices that can enhance our products and the efficiency of our team.

Minimum of 3 years in engineering management preferably with SaaS or cloud offerings in a high-growth company.

Experienced engineering manager with a track record of building and leading high performance engineering teams, and with demonstrated success at high-growth companies with a global presence.

Experience leading the entire technology lifecycle from identifying needs, through design, implementation, maintenance and, when appropriate, end of life.

Experience managing at all levels, including mentoring and coaching individual contributors on software engineering best practices,



technical architecture and other complex technical challenges. Critical thinking, strategic acumen, and the ability to translate business priorities into an engineering plan of action with appropriate metrics to track progress.

Grit, commitment and determination to drive progress in an early stage context. Excellent people and management skills to interact with staff, colleagues, cross- functional teams, customers, partners and other third parties.

Demonstrated success in product launches and engineering participating in those launches.

Deep appreciation of how you operationalize and measure performance of engineering teams.

Previous experience in Sales or Marketing Tech is preferred.

Join us and enjoy these perks!

Salary $XX0,000 with bonus

Equity

Individual and family coverage for medical, dental, vision and life insurance

Short term and long term disability coverage

Flexible time off policy plus holidays

401k retirement plan with a 3% employer matching contribution

Employee referral bonus program

$750 budget for home office equipment

$We will consider remote work for candidates in Arizona, California, Colorado, Connecticut,

Work from home requires periodic travel to our

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. 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

📌 Engineering Project Manager- (Quality)) (Toronto)
🏢 Databook
📍 Toronto