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Artie

Senior Business Development Representative

San FranciscoOnsite · United States
Senior · FullTime · Sales
POSTED 22 JULVERIFIED 1D AGO
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Role
110 days opentrue age
Posted 22 Jul
Payats field
$80k–105kposted
▼ −44% vs market median $165k
$80k$198k
Market p25–p75
$135k–$198k
SF Bay Area · n=513 · 365d to 6 Nov
CompanyArtie →
6open roles
Opened · 30d
+0
Closed · 30d
−0
8d of snapshots · 30d window
Market
28,577open · Senior Other
Opened · 7d
+1,5946% of open
All other
624,480open
All tracked boards · live 10 Nov · n=28,577
Visa
2H-1B LCAs · FY26
LCAs FY26 · n=2 · to 2026-06-23
PostgreSQLKafkaAWSSnowflakedbt

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

Source · ArtieFirst seen 2 NovOriginal ↗