Senior Business Development Representative - Enterprise

About Artie

Software that streams data from databases to warehouses in real-time

Tech

## Frontend * Our marketing site is written with Next.js and Tailwind. * Customer dashboard is written with React, Material UI and Typescript. ## Backend Our open-sourced service, [Artie Transfer](https://github.com/artie-labs/transfer) and our backends are all written in Go. ## Infrastructure * Kafka * Kubernetes w/ Helm * Terraform

The role

### **About Artie**Artie is a real-time streaming platform that moves production data across systems in real time, with zero maintenance. We make high-volume data replication simple, reliable, and scalable for engineering teams.Our platform powers mission-critical use cases including fraud and risk monitoring, inventory visibility, customer-facing analytics, and AI workloads. Artie is built for engineers who care about performance, reliability, and operational simplicity — and we’re growing fast.‍We’re trusted by teams like ClickUp, Substack, and Alloy, and backed by top-tier investors including Y Combinator, General Catalyst, Pathlight Ventures, and the founders of Dropbox and Mode.## About the roleWe're hiring our first Business Development Representative to build pipeline for our early sales motion. This is a ground-floor seat: you'll help define how Artie prospects, qualifies, and opens conversations with data and engineering leaders, working directly with our founders and go-to-market lead rather than through layers of management or a scripted playbook someone else wrote. It's a strong fit for someone early in their sales career who wants outsized ownership and a fast path into technical, solution-based selling.## **What you'll do*** Generate qualified pipeline through outbound prospecting into target accounts: data engineering teams, data platform/infra, and AI-driven companies wrestling with stale or brittle data pipelines* Research accounts, industries, and personas to craft outreach that's actually personalized, not templated* Prospect and qualify inbound interest, quickly separating real buying signals (someone hitting the wall on Fivetran batch latency, DMS reliability, or a homegrown Debezium/Kafka setup) from noise* Run multi-channel outbound campaigns across email, cold calls, LinkedIn, and video, sequencing that respects a technical buyer's time* Conduct discovery conversations to uncover technical pain points and initiatives, learning enough about change data capture, logical replication nuances across different databases, and schema evolution to have a credible first conversation with a data engineer or CTO* Engage data, engineering, and executive personas, then hand off warm, well-qualified meetings* Be the first impression of Artie for prospective customers evaluating us against Fivetran, AWS DMS, Debezium, and Confluent* Work directly with founders and the GTM lead to shape territory strategy and pipeline process as the team scales. What you build now becomes how the next ten reps work* Consistently hit or exceed activity, meeting-generation, and pipeline targets## **What we're looking for*** 1–2+ years of experience in SaaS, cloud, infrastructure, or technology sales development (strong new grads with clear sales aptitude will also be considered)* Genuine curiosity about data infrastructure, AI, and technical products, and comfort developing an understanding in concepts like CDC, Kafka offsets, and exactly-once delivery, not just software terminology in general* Strong, direct written and verbal communication. You can write a cold email a data engineer will actually read* A track record of consistent, measurable over-achievement against goals or quotas* Strong organizational skills and the ability to manage multiple accounts and priorities at once* High ownership and grit: comfortable with the ambiguity of an early-stage startup, where process is something you help build, not something handed to you* Based in or willing to relocate to San Francisco; this is an in-person role## **Bonus points*** Experience selling into data, engineering, or IT organizations* Familiarity with the modern data stack: Snowflake, Databricks, BigQuery, dbt, Postgres, or Kafka/Debezium-style pipelines* Comfortable using AI tools (Claude and similar) or sales engagement platforms to sharpen research, messaging, and productivity* Previous experience in a high-growth, early-stage startup environment## **Compensation & benefits**Base salary: $80-105KOTE: $115-150K* Equity in the company: every employee is an owner* Medical, dental, and vision insurance* Unlimited PTO, plus all federal holidays and sick leave* 401(k) with employer contribution* $200/month wellness & commuter stipend* $500/year learning & development allowance* Free lunch, dinner, and snacks in the office* Visa sponsorship available