Senior Database Software Engineer, Full Stack

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November 5

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Spekit 🐙

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Sales Enablement • Enterprise • AI

Spekit is a just-in-time enablement platform designed to enhance sales and marketing effectiveness by providing AI-powered assistance where teams work. It enables organizations to centralize content, streamline training, and equip sales reps with contextual answers and resources precisely when they need them. By leveraging AI technology, Spekit helps to improve quota attainment, reduce ramp-up time for new hires, and ultimately drive better revenue outcomes.

51 - 200 employees

Founded 2018

🏢 Enterprise

📋 Description

• As we scale our AI platform, we’re tackling increasingly complex challenges in data performance, modeling, and system design thinking. • We’re looking for a Senior Full Stack Engineer with a specialization in database and systems performance to help us level up our architecture, strengthen performance across the stack, and mentor others in building fast, maintainable systems. • This role sits on a team focused on accelerating execution and delivering high-impact product experiences. • You’ll contribute across the stack while owning the optimization and scalability of our data layer, ensuring our growing AI platform remains fast, reliable, and beautifully engineered. • You’ll work closely with other engineers to design data models, optimize queries, and shape system boundaries that balance product velocity with long-term technical health. • As a senior member of the team, you’ll mentor others and influence architectural decisions that shape Spekit’s future.

🎯 Requirements

• Product-based mindset: We think long-term with the product vision in mind. We empathize with the customer - whether that customer is an end user, another team, a 3rd party integrator, or Spekit's own employees. You have a desire to develop a product that end users LOVE to use on a day to day basis! • Proficient in Python/DjangoDatabase depth as a superpower: proven expertise in query optimization, indexing strategies, schema design, and performance tuning (PostgreSQL preferred) • Systems thinking: ability to reason about domain boundaries, dependencies, and long-term architecture within a monorepo context • Mentorship ability: communicates trade-offs clearly (technical, product, and economic), helps elevate team skills, and guides less experienced engineers in database best practices • Experience with distributed/asynchronous systems that improve reliability and scale (e.g., messaging queues, background tasks, observability) • A data engineering or integration background — valuable, but not required for success • A collaborative mindset that helps the team design better data flows, make thoughtful architectural tradeoffs, and write more performant code