Growth Engineering Lead - USA
Apply NowCompany: Inworld AI
Location: Mountain View, CA 94040
Description:
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Why Join Inworld
Inworld is the leading provider of AI technology for real-time interactive experiences, with a $500 million valuation and backing from top tier investors including Intel Capital, Microsoft's M12 fund, Lightspeed Venture Partners, Section 32, BITKRAFT Ventures, Kleiner Perkins, Founders Fund, and First Spark Ventures.
Inworld provides the market's best framework for building production ready interactive experiences, coupled with dedicated services to optimize specific stages of development - from design and development, to ML pipeline optimization and custom compute infrastructure. We help developers bring their AI engines in-house with a framework optimized for real-time data ingestion, low latency, and massive scale. Inworld powers experiences built by Ubisoft, NVIDIA, Niantic, NetEase Games and LG, among others, and has partnerships with key industry players such as Microsoft Xbox, Epic Games, and Unity.
Inworld was recognized by CB Insights as one of the 100 most promising AI companies in the world in 2024 and was named among LinkedIn's Top Startups of 2024 in the USA.
Candidates must be based in the SF Bay Area or willing to relocate (you will be working on-site in our South Bay office a few days a week).
Your Impact
We're seeking a Growth Engineering Lead who thrives at the intersection of creativity, data, and rapid experimentation. You'll be leading the marketing function, but doing it through code, experiments, data, and AI.
You'll be hands-on, technical, and strategic. You love shipping things that make an impact from landing pages to AI workflows to attribution systems.
Inworld is breaking new ground in a product category without a playbook. It's an environment where ambiguity is the norm, and we value individuals who thrive in uncertainty. You'll be in a constant cycle of experimentation, learning, and growth.
What you'll do
In-office location: Mountain View, CA, United States.
The United States base salary range for this full-time position is between $160,000 - $250,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
Why Join Inworld
Inworld is the leading provider of AI technology for real-time interactive experiences, with a $500 million valuation and backing from top tier investors including Intel Capital, Microsoft's M12 fund, Lightspeed Venture Partners, Section 32, BITKRAFT Ventures, Kleiner Perkins, Founders Fund, and First Spark Ventures.
Inworld provides the market's best framework for building production ready interactive experiences, coupled with dedicated services to optimize specific stages of development - from design and development, to ML pipeline optimization and custom compute infrastructure. We help developers bring their AI engines in-house with a framework optimized for real-time data ingestion, low latency, and massive scale. Inworld powers experiences built by Ubisoft, NVIDIA, Niantic, NetEase Games and LG, among others, and has partnerships with key industry players such as Microsoft Xbox, Epic Games, and Unity.
Inworld was recognized by CB Insights as one of the 100 most promising AI companies in the world in 2024 and was named among LinkedIn's Top Startups of 2024 in the USA.
Candidates must be based in the SF Bay Area or willing to relocate (you will be working on-site in our South Bay office a few days a week).
Your Impact
We're seeking a Growth Engineering Lead who thrives at the intersection of creativity, data, and rapid experimentation. You'll be leading the marketing function, but doing it through code, experiments, data, and AI.
You'll be hands-on, technical, and strategic. You love shipping things that make an impact from landing pages to AI workflows to attribution systems.
Inworld is breaking new ground in a product category without a playbook. It's an environment where ambiguity is the norm, and we value individuals who thrive in uncertainty. You'll be in a constant cycle of experimentation, learning, and growth.
What you'll do
- Own and lead growth across marketing, product, and engineering.
- Build and scale growth loops, funnels, and campaigns, being hands-on with code as much as possible.
- Use AI to automate and optimize marketing workflows and internal systems.
- Ship fast: pages, tools, experiments, and systems that move the needle.
- Collaborate closely with founders, product, and engineering to align on goals and execution.
- Take ownership of analytics, performance, attribution, and everything in between.
- Lay the groundwork for a high-leverage, technical growth function from the ground up.
- Design and execute campaigns to reach and convert technical users and decision-makers.
- Write and ship technical content, from blog posts and landing pages to demo scripts and onboarding flows.
- Build and maintain marketing infrastructure, tracking, dashboards, attribution tooling.
- Run A/B tests and rapid experiments to validate ideas before scaling.
- Use insights from product usage and data to inform messaging, campaigns, and positioning.
- Develop referral, lifecycle, and retention flows to increase LTV and reduce churn.
- BA/BS degree or higher; technical degrees and backgrounds a plus.
- High technical fluency: you're comfortable writing code, aligning with engineers, and building side by side.
- Demonstrated track record of leading and executing campaigns for technical products.
- Experience driving rapid growth through innovative and unconventional marketing strategies.
- Experience utilizing AI tools to significantly boost productivity by automating marketing processes and optimizing campaign execution.
- Experience scaling marketing at a start-up or fast-growing product from the ground up.
- Background in AI, ML or technology marketing.
In-office location: Mountain View, CA, United States.
The United States base salary range for this full-time position is between $160,000 - $250,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.