Senior Business Development Representative - Enterprise

Artie•San Francisco, CA

4d•$80,000 - $125,000•Onsite

About The Position

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. We'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.

Requirements

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

Nice To Haves

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

Responsibilities

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