
Job Description
Ovii's Interpretation of the Role
The Growth Engineer will design, build, and ship full‑stack growth experiments—from landing pages to backend services—using data‑driven decisions. You’ll own activation and retention challenges, collaborate with product and marketing, and leverage AI/LLM tools to accelerate workflows.
Role Snapshot
- Full‑stack development
- Growth experiment ownership
- Data‑driven decision making
- AI/LLM integration
- Cross‑functional collaboration
- Rapid prototyping
Must-Have Requirements
- Full‑stack development
- Growth experimentation mindset
- SQL / data analysis
- AI/LLM familiarity
- Ownership mindset
- Growth experimentation
- Data analysis
- AI/LLM integration
Nice-to-Have Signals
- PostHog or similar analytics tools
- Snowflake or similar analytics tools
- Startup growth engineering experience
- Products with real traction
- AI community involvement
- Analytics tools (PostHog, Snowflake)
- Startup growth engineering
Work Setup
- Location: San Francisco, United States
- Work mode: ONSITE
- Employment type: Full-Time
Not Specified in JD
- Visa sponsorship
- Salary range
- Remote eligibility
- Education requirement
- Certifications
- Relocation
- Notice period
- Travel
- Security clearance
- Coding test
- Portfolio
- GitHub
- Writing sample
- Cover letter
What You'll Likely Work On
- Build and ship growth experiments across the stack, including landing pages, onboarding flows, backend services, data pipelines, dashboards, and internal tools.
- Define experiment scope, collect signals quickly, and decide to iterate or discontinue based on data.
- Instrument product funnels, write SQL queries, and create dashboards to guide investment decisions.
- Own activation and retention initiatives without waiting for product tickets.
- Partner with marketing, product, and engineering to turn distribution ideas into shipped features.
- Leverage AI agents and the Composio platform to streamline personal workflow.
Good Fit If You Have
- Experience with analytics tools such as PostHog or Snowflake.
- Prior growth or product engineering experience at a startup.
- Track record of building products that achieved real traction.
- Active participation in the AI community through open‑source contributions or public writing.
Skills
- Full‑stack development (frontend & backend)
- Growth experiment design
- SQL & data analysis
- LLM/AI integration
- Ownership mindset
- Rapid iteration