Info Origin

FULLPRESS is hiring an Entry-Level Data Science Engineer

(Tier 1 STEM Degree Required)

We help high-growth SaaS companies architect and scale Quote-to-Cash on Salesforce Revenue Cloud — CPQ, Billing, RCA — plus pricing & packaging, CLM, data pipelines, and revenue intelligence. Clean systems. Faster GTM. Measurable revenue impact.

About the role
You’ll join our Revenue Intelligence team — the group that turns GTM data into real insight. You’ll help us model revenue flows, build analytics pipelines, and power the dashboards that CEOs and CROs actually use.

You’ll combine engineering precision with business intuition — translating messy CRM, billing, and usage data into structured intelligence on how money moves.

You’ll do things like:

• Build and maintain clean data pipelines from Salesforce, billing, and usage systems
• Model ARR, pipeline, and churn dynamics with SQL, Python, or dbt
• Support design of RCA and RevOps analytics architectures
• Assist in automating financial and operational reporting
• Partner with Revenue Architects to connect data to GTM strategy

You might be a fit if you:

• Hold a Tier 1 STEM degree (CS, Math, Stats, Physics, Engineering)
• Have experience with Python, SQL, or modern data tools (dbt, Snowflake, Sigma, etc.)
• Think in systems and care about clean data models
• Can communicate quantitative findings clearly and concisely
• Are obsessed with how SaaS revenue actually works

Why FULLPRESS
RCA-first on subscription + usage and migrations off legacy CPQ
IP over slides — playbooks, templates, internal tools
All-Offense culture — senior ownership, low ego, bias to action

No recruiters. No visa sponsorships. Remote-first with occasional onsite projects.

Job Type: Full-time

Pay: From $55,000.00 per year

Benefits:

• 401(k)
• Dental insurance
• Health insurance
• Paid time off
• Vision insurance

Work Location: Remote