Databook
https://databook.com/About
Great salespeople let their customers’ strategies do the talking.
Databook’s award-winning Strategic Relationship Management (SRM) platform uses advanced AI and NLP to empower the world’s largest B2B sales teams to create, manage, and maintain strategic relationships at scale. 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.
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.
Tech stack
NodeJS (Node.js)
React.js
Python
MongoDB
PostgreSQLCompany video
Candid answers by the company
Databook’s Strategic Relationship Management (SRM) platform uses advanced AI to empower the world’s largest B2B sales teams
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Jobs at Databook
PythonAbout Databook
Databook is the world’s first AI-powered enterprise customer intelligence platform, founded in 2017 to empower enterprise sales teams with a distinct advantage. Leading companies like Microsoft, Salesforce, and Databricks rely on Databook to enhance customer engagement and accelerate revenue acquisition. Backed by Bessemer Ventures, DFJ Growth, M12 (Microsoft’s Venture fund), Salesforce Ventures, and Threshold Ventures, we operate as a customer-focused, innovative organization headquartered in Palo Alto, CA, with a global distributed team.
About Our Technology Team
The Engineering team at Databook brings together collaborative and technically passionate individuals to deliver innovative customer intelligence solutions. Led by former Google and Salesforce engineers, this group explores the full engineering lifecycle, driving impactful outcomes and offering opportunities for leadership and growth in a hyper-growth context.
The Opportunity
We're seeking a proactive and skilled Platform Engineer to enhance the reliability, scalability, and performance of our platform. This role offers the chance to collaborate closely with cross-functional teams, integrate new technologies, and advance our DevOps and SRE practices. If you're passionate about driving excellence, building robust systems, and contributing to the evolution of an AI-driven platform, join our dynamic team!
Responsibilities
- Promote best practices and standards across engineering teams to ensure platform reliability and performance.
- Collaborate with product management and engineering to enhance platform scalability and align with business goals.
- Develop and optimize backend systems and infrastructure to support platform growth.
- Implement and enhance CI/CD pipelines, automation, monitoring, and alerting systems.
- Document system performance, incidents, and resolutions, producing detailed technical reports.
- Formulate backend architecture plans and provide guidance on deployment strategies and reliability improvements.
- Participate in an on-call rotation to ensure 24/7 platform reliability and rapid incident response.
Qualifications
- 5+ years of experience in Platform or Infrastructure Engineering, DevOps, SRE, or similar roles.
- Strong backend development experience using Python, JavaScript/Typescript.
- Solid understanding of API design and implementation.
- Proficiency in SQL.
- Experience with CI/CD tools like Jenkins, GitLab CI, CircleCI.
- Hands-on experience with IaC tools such as Terraform, CloudFormation, Ansible.
- Familiarity with monitoring and observability tools like Datadog, Splunk, New Relic, Prometheus.
- Strong analytical and problem-solving skills with a focus on long-term solutions.
- Excellent communication skills for collaboration with technical and non-technical stakeholders.
- Ability to thrive in a fast-paced environment and manage multiple priorities.
Working Arrangements
This position offers a hybrid work mode, combining remote and in-office work as mutually agreed upon.
Ideal Candidates Will Also Have
- Interest or experience in Machine Learning and Generative AI.
- Exposure to performance, load, and stress testing frameworks.
- Familiarity with security best practices and tools in cloud environments.
Join Us and Enjoy These Perks!
- Competitive salary with bonus
- Medical insurance coverage
- Generous leave and public holidays
- Employee referral bonus program
- Annual learning stipend for professional development
- Complimentary subscription to Masterclass
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