Growth Engineering Lead - USA

The Growth Engineering Lead at Inworld is responsible for spearheading growth across marketing, product, and engineering. This role involves building and scaling growth loops, funnels, and campaigns while being hands-on with code. The Lead will also automate and optimize marketing workflows using AI and ensure continuous collaboration with cross-functional teams to drive impactful results.

To qualify for the Growth Engineering Lead role at Inworld, candidates should possess a BA/BS degree or higher, ideally in a technical field. It’s crucial to have high technical fluency, a proven track record in executing campaigns for technical products, and experience driving rapid growth in startup environments, particularly using innovative marketing strategies.

The Growth Engineering Lead at Inworld should have proficiency in programming, a strong understanding of AI and ML technologies, and the ability to utilize AI tools for significant productivity boosts. A successful Lead will also need to be adept at running A/B tests, analyzing data, and deriving insights to inform marketing strategies and decisions.

Inworld’s Growth Engineering Lead will work on a variety of projects, including designing and executing marketing campaigns for technical users, creating landing pages, and developing referral and retention flows. You’ll also build marketing infrastructure, such as tracking dashboards and attribution tools, and run rapid experiments to validate ideas before scaling.

The work culture at Inworld is dynamic, fast-paced, and centered around innovation. As a Growth Engineering Lead, you'll thrive in an environment where ambiguity is the norm and experimentation is encouraged. Collaboration with teams across different functions, such as founders, product, and engineering, plays a key role in achieving goals and fostering an effective growth strategy.

In building a growth funnel, I would start by identifying key customer segments and mapping out their journey from awareness to conversion. I’d analyze existing data to understand user behavior and then create targeted experiments that integrate AI-driven insights to optimize each touchpoint within the funnel.

In my previous role, I implemented unique marketing strategies including content marketing targeting developers, running A/B tests on landing pages, and utilizing referral programs that leveraged existing users to increase acquisition rates. Each strategy was tailored, data-driven, and focused on aligning with technical user needs and preferences.

I prioritize experiments based on potential impact and ease of implementation. Utilizing data, I identify high-traffic areas where small changes could yield significant improvements. I also consider alignment with overall business goals and the ability to test hypotheses rapidly.

Data analysis is central to my approach—it informs strategy, guides decision-making, and validates success. By analyzing user behavior and engagement metrics, I can identify trends and uncover insights that help optimize campaigns and enhance product offerings, ultimately driving sustainable growth.

I integrate AI tools by using them to automate repetitive tasks, such as data collection, user segmentation, and content personalization. For instance, utilizing machine learning models can enhance targeting accuracy for campaigns, leading to improved engagement and conversion rates.

Success is measured through key performance indicators (KPIs) like conversion rates, user engagement, and customer retention metrics. I also analyze the return on investment (ROI) for each campaign and gather feedback to refine future strategies continuously.

In a previous startup, we faced unexpected changes in market conditions that affected our marketing strategy. I quickly pivoted by conducting new market research and adjusting our campaigns to focus on emerging trends, maintaining agility was crucial to sustaining our growth during that period.

To optimize marketing workflows, I implement process automation, ensuring tools are streamlined and efficient. This includes utilizing AI tools for data analysis, task management, and integrating collaboration features that keep teams informed and aligned to enhance productivity.

I have extensive experience with A/B testing; it's vital in validating ideas before larger implementations. I design experiments comparing different versions of content or landing pages, analyze the results to assess performance, and apply insights to enhance campaign effectiveness.

I’m motivated by the opportunity to create significant impact through innovative strategies. The challenge of working in a fast-paced, evolving environment excites me, and I thrive on using creativity and data-driven insights to drive tangible results.