Full-stack Growth Engineer

Accountabilities:

• Build and own the self-service customer experience end-to-end, including sign-up flows, onboarding journeys, activation paths, and conversion experiences.

• Design and optimize trial experiences by defining product limits, usage models, and upgrade opportunities that balance user value with business goals.

• Develop mechanisms to identify high-intent users and create stronger connections between self-serve growth and sales-led opportunities.

• Improve the first-time user experience by helping new customers reach meaningful product value quickly and intuitively.

• Apply user behavior frameworks and growth principles to improve activation, engagement, and retention throughout the product journey.

• Establish and scale an experimentation culture by building the necessary infrastructure for events, attribution, cohort tracking, and measurement.

• Design, execute, and analyze experiments using structured methodologies, including control groups, statistical validation, guardrails, and long-term impact measurement.

• Partner closely with product, engineering, design, marketing, and sales teams to turn insights into impactful product improvements.

• Act as the internal growth engineering expert, helping raise experimentation and product-led development practices across the organization.

Requirements:

• 5+ years of experience building production software systems with a strong focus on growth engineering, experimentation, or product-led growth.

• Strong full-stack engineering skills with experience in TypeScript, Node.js, and modern frontend frameworks such as React or Angular.

• Deep understanding of experimentation methodologies, including A/B testing, control groups, statistical significance, exposure tracking, and longitudinal analysis.

• Proven experience building or owning PLG funnels covering sign-up, activation, conversion, and payment journeys.

• Strong product analytics expertise with tools such as Amplitude, Mixpanel, Segment, Statsig, LaunchDarkly, or similar platforms.

• Experience working in environments where experimentation and data-driven decision-making are core engineering practices.

• Ability to balance quantitative insights with strong product intuition and customer empathy.

• Comfortable taking ownership of outcomes, moving quickly from strategy to implementation, and operating with autonomy.

• Strong communication skills with the ability to collaborate effectively across technical and non-technical teams.

• Experience using AI tools in daily workflows and the ability to leverage emerging technologies responsibly.

• Nice to have: experience integrating billing systems such as Stripe and understanding subscription management, upgrades, downgrades, and payment operations.

Benefits:

• Competitive compensation package:

• US-based compensation: $170k-200k USD plus equity.

• Rest of world compensation: $95k-140k USD plus equity.

• Equity options.

• Unlimited paid time off with a culture that encourages employees to actually take it.

• Monthly wellness stipend of $200.

• Health insurance stipend.

• Home office budget to support a productive remote setup.

• Annual company offsite opportunities.

• Fully remote working environment with flexibility across compatible time zones.

• Opportunity to shape a growing product-led organization and build impactful systems from the ground up.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1