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Salary
$80k – $105k per year
Location
In office (San Francisco)
Seniority
Senior · 2+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Stream data changes to your warehouse with sub-minute latency and exactly-once delivery. No Kafka build, no DMS compromises.

About Artie

Artie is a fully-managed real-time data streaming platform that replicates production databases into data warehouses and lakes - 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/ML workloads.

We’re trusted by teams like Substack, Alloy, and ClickUp, and raised a Series A from top-tier investors including Standard Capital, Y Combinator, General Catalyst, Pathlight, and the founders of Dropbox and Mode.

Artie is built for engineers who care about performance, reliability, and operational simplicity - and we’re growing fast.

About the role

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.

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: $80-105K

OTE: $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

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