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 & benefitsBase salary: $80-125K
OTE: $115-180K
- 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
