Senior Business Development Representative

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: $80-125K
• 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.