About Tome
Tome is an AI CRM (customer relationship manager) that transforms relationships between small businesses and their customers.
We harness state-of-the-art models and techniques to simplify complex research and strategic planning. Tome surfaces the most actionable knowledge about customers from internal systems, as well as from public and proprietary data across thousands of sources.
Our system is tuned and customized by a team of experienced sellers, engineers, and researchers. Many of us previously contributed to large-scale products like Llama, Messenger, Instagram, and Pinterest.
We design and build Tome in close partnership with our early customers, from small businesses to mature enterprise sales organizations. This collaboration ensures we create enduring solutions to long-standing challenges in the industry.
Learn more at tome.app/ai.
About the role
We’re looking for an experienced, creative, and versatile engineer who is eager to tackle the challenge of architecting, building, and scaling the core infrastructure and systems powering Tome’s AI-driven CRM.
At Tome, engineers take ownership of projects from inception to impact, collaborating across functions and pushing the envelope on what’s possible in applied AI and data systems. You’ll play a critical role in designing and building the data models and infrastructure that support a next-generation CRM, ensuring our system is performant, scalable, and resilient.
What you’ll do
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Build and maintain full-stack systems, end-to-end, ensuring reliability, scalability, and performance.
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Architect and scale the data infrastructure and backend services that power Tome’s AI-driven CRM.
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Design and optimize data models to support CRM workflows, customer interactions, and AI-driven insights.
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Develop observability and metrics to enable smooth operation, proactive issue detection, and continuous improvement.
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Mentor teammates, participate in code reviews, and help shape engineering culture and practices.
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Contribute to building a world-class engineering team through recruiting, mentorship, and knowledge-sharing.
Who you are
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6+ years of experience in software development, with a strong background in infrastructure, data modeling, and backend systems.
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Deep experience building scalable, high-performance data infrastructure that can support complex customer workflows and large-scale data processing.
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Strong understanding of database design, indexing strategies, and query optimization, especially in PostgreSQL or similar relational databases.
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You’re excited about Large Language Models (LLMs) and the opportunity to build systems that support and leverage them.
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You have the ability to ramp quickly on tech stack that features TypeScript, React, Next.js, Node.js, Apollo GraphQL, and PostgreSQL.
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Strong fundamentals in software engineering, with a degree in Computer Science or a related field.
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Thrives in ambiguity, able to independently drive projects and deliver results in a fast-moving environment.
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Clear communicator, capable of articulating technical decisions to both technical and non-technical stakeholders.
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Passionate about building products customers love, ensuring our CRM is intuitive, intelligent, and indispensable.
Top Skills
What We Do
Tome is an AI assistant for enterprise sellers, built to automate manual work and enable more effective conversations throughout the entire sales cycle.
The Tome platform trains custom language models on your company’s sales methodology, value framework, and GTM tech stack, allowing AEs to:
1. Book more qualified pipeline with automated account and persona research, suggested value hypotheses, and personalized outreach messages for the highest priority accounts.
2. Accelerate existing pipeline with detailed meeting prep, generated collateral, AI note taking synced to your CRM, and automated follow-ups.
3. Optimize their sales playbook with insights on which messages, features, and collateral lead to bigger, faster deals.
In this new world, AEs can focus less on work that weighs them down and more on spending time with customers. Sales leaders can ensure quality pipeline creation is maximized, more deals are won, and reps ramp faster. And RevOps leaders are at peace-of-mind knowing their systems and processes are being used to their full potential.
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