Vendelux

Staff AI Enablement Engineer

New York, NY · Staff+

Sponsorship not specifiedDetected 83 days ago

GitSnowflakeVector DatabasesCI/CDDevOpsPlatform EngineeringData EngineeringLLMsRAGAgentic AIAI OrchestrationCRMSalesMentoring

About the role

AI is no longer an engineering story at Vendelux.
The way our sales team prospects, the way product researches, the way ops runs processes, the way data answers questions.
We're looking for a Staff AI Enablement Engineer to be the technical force behind that change.

Build the shared AI infrastructure layer
Design, build, and maintain MCP servers that connect our internal systems like Github, Snowflake, Linear, Notion, Slack, and others, to agents running across every function
Establish and own our context engineering standards: CLAUDE.md http://CLAUDE.md / AGENTS.md http://AGENTS.md conventions, shared context/ directories, architecture docs that make our agents deeply aware of how Vendelux works
Build the memory and persistence layer for long-running agents: session continuity, proactive scheduling, cross-session context
Own orchestration infrastructure for multi-agent workflows: coordination, sub-agent spawning, token budgets, permission boundaries
Drive adoption across every function
Partner with sales, ops, product, marketing, legal, and data teams to identify where AI can fundamentally change how a team works and build the agents that make it happen
Build and grow a skills marketplace where anyone can package a workflow and share it company-wide so one person's breakthrough becomes everyone's superpower
Create visibility and healthy competition around AI usage: leaderboards, showcases, Slack channels, all-hands demos that make building contagious
Build purpose-built agents for non-engineering teams

The ability to move others up the proficiency curve is what makes you exceptional in this role.
Deep hands-on experience with frontier AI agents (Claude Code, Codex, or equivalent) and the context engineering that makes them actually useful in complex codebases
Hands-on experience with MCP or similar integration frameworks.
Experience designing for non-technical users: the agent that works for a software engineer is not the same as the one that works for a sales rep or an ops manager
Comfort working cross-functionally.

Background in platform engineering, developer tooling, or data engineering
Experience with proactive/scheduled agent systems (not just request-response)
Familiarity with vector stores, RAG pipelines, or knowledge graph approaches for agent context
Experience with CI/CD automation involving AI agents
Exposure to B2B SaaS data models, CRM/MAP integrations, or event/attendee data
What "Staff" Means Here
Staff isn't a senior role with a better title.
You identify the highest-leverage problems across the company without being told what they are

Evaluate frontier models, new MCP tooling, emerging agent frameworks, and integrate what's worth integrating before competitors catch up
To make intelligence self-service, the same way DevOps made infrastructure self-service.
Not all candidates will check all of the requirements listed above and that's ok!
Vendelux is proud to be an equal opportunity workplace.

Maintain codebase health as the system scales: shared component libraries, automated quality gates, fragmentation checks, doc validation in the PR pipeline

The impact is company-wide.
Our platform powers thousands of event decisions by delivering proprietary, AI-driven insights across hundreds of thousands of events globally.
At the core of our platform is a robust ecosystem of event organizer partnerships - where organizers share first-party data, enabling richer insights for customers while receiving benchmarking and audience intelligence in return.
In addition, Vendelux Meetings extends our platform by turning insights into pipeline - using AI to identify high-value attendees and proactively book 1:1 meetings between our customers and their ideal prospects at events.
Founded in 2021, Vendelux is a Series B SaaS company backed by top-tier investors including FirstMark.

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This listing is sourced directly from Vendelux's careers page and normalized into a canonical job model.