A bit about the job
Interested in being part of the go-to-market team selling real-world Generative AI that is moving from pilot projects into production across large engineering organizations?
Tabnine is building out a senior pre-sales team that can understand complex customer environments and map those requirements to the right Tabnine solution. For this role, the conversation is no longer just about an IDE plugin helping individual developers be more productive. It is about the Enterprise Context Engine: a context layer that gives AI systems structured understanding of repositories, services, dependencies, APIs, documentation, and architectural relationships, and can improve the tools customers already use, including Tabnine, Cursor, GitHub Copilot, and Claude Code. If you have a software development / DevOps background and a proven track record in solution engineering, especially in front of enterprise engineering buyers, we want to hear from you.
This role covers the US region. You will partner with Sales to run technical discovery, demos, architecture conversations, POVs, and rollout planning with engineering leadership, platform teams, architecture, DevEx, security, and the developers who will use the product day to day.
A bit about us
Tabnine helped pioneer AI-assisted software development and today provides both an AI Coding Platform and a standalone Enterprise Context Engine. The Tabnine Context Engine is the missing layer that makes AI more reliable, safe, and effective in the enterprise. Tabnine can be deployed as SaaS, in a private VPC, on-premises, or fully air-gapped, giving customers flexibility around privacy, security, and compliance. We’re looking for top-tier talent to join the Tabnine team and we’d love to hear from you.
Responsibilities:
Requirements:
None
Smarter AI Coding Agents. Total Enterprise Control.
Tabnine is the enterprise AI coding platform purpose-built for development leaders who demand flexibility, security, and governance without disrupting workflows. It adapts to the way your teams work, integrating with your existing tools, languages, and infrastructure while enforcing your standards and compliance requirements. Recognized in 25+ Gartner reports, Tabnine is trusted by engineering leaders worldwide to bring AI into complex enterprise environments—on their terms.
Flexible
Deploy anywhere—SaaS, VPC, on-prem, or fully air-gapped. Tabnine integrates with every IDE, LLM, repo, and development tool in your stack, supporting 30+ languages and ensuring compatibility without compromise.
Org-Aware
A context engine that connects to all major SCMs, IDEs, and tools like Jira and Confluence ensures Tabnine understands your full environment. It delivers accurate, context-aware code suggestions that reflect your architecture, conventions, and standards—enforcing compliance in real time and reinforcing best practices across the SDLC.
Secure & Compliant
Designed for strict security and compliance needs, Tabnine runs with zero telemetry, no silent updates, and keeps all data under your control. Whether in finance, healthcare, government, or other regulated sectors, Tabnine meets compliance requirements without sacrificing speed or developer experience.
Governed
Centralized governance and analytics give leaders control over AI adoption—setting usage thresholds, managing model access, and tracking performance. Prebuilt or custom rules ensure consistent code quality while reducing repetitive review work for senior engineers.
Proven Impact
In enterprise pilots, Tabnine generated 30–50% of code, reduced review time by 15%, and helped 80% of developers work ~20% faster—without lock-in, workflow disruption, or security trade-offs.
