1-2+ years in SaaS or technology sales development, or recent graduates with strong sales aptitude welcome.
Curiosity about data infrastructure and AI, with a grasp of technical concepts.
Excellent written and verbal communication skills for effective outreach.
Proven track record of meeting or exceeding sales targets or quotas.
Strong organizational skills to manage multiple accounts and priorities.
High ownership and resilience, comfortable in a startup's ambiguity.
Located in or willing to relocate to San Francisco for an in-person role.
Responsibilities
Generate qualified sales pipeline through targeted outbound prospecting.
Research accounts and craft personalized outreach messages.
Qualify inbound leads by identifying genuine buying signals.
Execute multi-channel outreach campaigns to engage technical buyers.
Conduct discovery conversations to learn about clients' technical challenges.
Engage and hand off warm leads to sales team members.
Shape the territory strategy and sales process for future reps.
Meet or exceed activity and pipeline generation targets.
Benefits
Equity ownership in the company for every employee.
Comprehensive medical, dental, and vision insurance.
Unlimited paid time off, in addition to federal holidays and sick leave.
401(k) plan with employer contributions.
Monthly wellness and commuter stipend of $200.
Annual $500 allowance for learning and development.
Complimentary meals and snacks in the office.
Visa sponsorship available.
Full Job Description
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: $80-125K
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
