Overview
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-floo
Full job description
Full Job Description
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
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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
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Research accounts, industries, and personas to craft outreach that's actually personalized, not templated
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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
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Run multi-channel outbound campaigns across email, cold calls, LinkedIn, and video, sequencing that respects a technical buyer's time
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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
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Engage data, engineering, and executive personas, then hand off warm, well-qualified meetings
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Be the first impression of Artie for prospective customers evaluating us against Fivetran, AWS DMS, Debezium, and Confluent
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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
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Consistently hit or exceed activity, meeting-generation, and pipeline targets
What we're looking for
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1–2+ years of experience in SaaS, cloud, infrastructure, or technology sales development (strong new grads with clear sales aptitude will also be considered)
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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
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Strong, direct written and verbal communication. You can write a cold email a data engineer will actually read
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A track record of consistent, measurable over-achievement against goals or quotas
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Strong organizational skills and the ability to manage multiple accounts and priorities at once
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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
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Based in or willing to relocate to San Francisco; this is an in-person role
Bonus points
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Experience selling into data, engineering, or IT organizations
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Familiarity with the modern data stack: Snowflake, Databricks, BigQuery, dbt, Postgres, or Kafka/Debezium-style pipelines
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Comfortable using AI tools (Claude and similar) or sales engagement platforms to sharpen research, messaging, and productivity
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Previous experience in a high-growth, early-stage startup environment
Compensation & benefits
Base salary: $80-105K
OTE: $115-150K
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Equity in the company: every employee is an owner
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Medical, dental, and vision insurance
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Unlimited PTO, plus all federal holidays and sick leave
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401(k) with employer contribution
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$200/month wellness & commuter stipend
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$500/year learning & development allowance
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Free lunch, dinner, and snacks in the office
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Visa sponsorship available
Tips for this job
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Verification notes
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