B2B Growth Lead
| Company | OpenAI |
|---|---|
| Location | San Francisco, CA, USA, New York, NY, USA |
| Salary | $210000 – $265000 |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior, Expert or higher |
Requirements
- 7+ years growth, demand gen, or product-led growth experience in SaaS – ideally scaling from $0 → $100M ARR in high growth companies.
- Growth funnel expertise – deeply understands acquisition → activation → retention loops; can model and optimize each stage.
- Proven track record driving organic acquisition (SEO, content, viral loops) and self-serve free trials.
- Hands-on fluency in analytics stacks (GA4, Mixpanel/Amplitude, HubSpot/Marketo, SQL).
- Strong experimentation expertise – comfortable designing, running, and interpreting A/B and multivariate tests.
- Customer & market discovery – skilled at structured user interviews, JTBD analysis, TAM sizing, and competitive benchmarking to inform roadmap choices.
- Strategic roadmap planning – can translate business goals into a prioritized backlog, balance short-term growth bets with long-term platform investments, and articulate clear success metrics for each initiative.
- Executive-level storytelling – you distill data into clear trade-offs and next steps.
- Cross-functional influencer who can align PM, Design, RevOps, and Sales around a shared growth scoreboard.
- Internationalization expertise – prior work localizing growth motions at global scale.
Responsibilities
- Launch and iterate new growth surfaces (SEO hubs, solution pages, in-product upsells, partner embeds).
- Architect and roll out a self-serve free-trial motion that compresses time-to-value.
- Own channel mix to hit traffic, MQL, and trial-start targets.
- Localize key entry points for priority geos and industries.
- Run A/B tests on entry points (openai.com, chatgpt.com, etc.) to lift traffic quality and conversion from visitor → trial → MQL.
- Systematize learnings into reusable playbooks for all product pods.
- Define the canonical B2B funnel (visits → trials → MQL → SQL → ARR).
- Stand up end-to-end tracking, attribution, and dashboards for CAC, LTV, payback.
- Partner with Data Science and Engineering teams on clean event taxonomy and source-of-truth models.
- Partner with Sales/RevOps on lead scoring, routing, and feedback loops to maximize lead-to-close velocity.
Preferred Qualifications
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No preferred qualifications provided.