Growth Operations & Experimentation Architect

Base Power Company

Austin (TX)

On-site

USD 110,000 - 170,000

Full time

14 hours ago
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Benefits offered by this job

In-person collaboration

Job summary

Base, America’s next-generation power company, is seeking an operator to scale the systems behind our customer acquisition engine. You will build workflows, automate processes, and run experiments that push growth across product, onboarding, referrals, and engagement.

The ideal candidate is highly resourceful, systems-oriented, and comfortable working with data in fast-moving, ambiguous environments. You’ll own projects end-to-end and collaborate across Growth, Product, Engineering, Data, and

Qualifications

  • Experience building workflows or experimentation frameworks with measurable outcomes.
  • Ability to operate in ambiguous, fast-moving environments.
  • Strong data-driven decision-making and funnel analysis skills.

Responsibilities

  • Build systems, workflows, and automation that improve the speed and effectiveness of the GTM team.
  • Drive experimentation across product, referrals, onboarding, engagement, retention, and growth operations.
  • Identify opportunities to use AI and automation to improve workflows, decision‑making, execution speed, and operational leverage across Growth.
  • Build operational infrastructure that improves measurement, reporting, attribution, funnel visibility, and experimentation velocity.
  • Partner closely with Growth, Product, Engineering, Data, Sales, and Support teams to improve systems and customer experiences across the funnel.
  • Improve instrumentation, event tracking, operational visibility, and data quality across growth systems.

Skills

Systems thinking
Data analysis
Execution oriented
Independent work
Technical curiosity

Tools

BigQuery
SQL
PostHog
Amplitude
Mixpanel

Job description

Base, America’s next-generation power company, is seeking an operator to scale the systems behind our customer acquisition engine. You will build workflows, automate processes, and run experiments that push growth across product, onboarding, referrals, and engagement.

The ideal candidate is highly resourceful, systems-oriented, and comfortable working with data in fast-moving, ambiguous environments. You’ll own projects end-to-end and collaborate across Growth, Product, Engineering, Data, and

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