At Pika, we’re building the next generation of AI creative tools to empower human creativity. Our mission is to make video creation seamless, intuitive, and accessible to everyone, leveraging the power of advanced AI. We believe that AI should amplify creative expression—enabling everyone to create, collaborate, and communicate across media. Our team includes engineers, artists, and product thinkers, all passionate about building tools that unlock new creative possibilities.
Pika has raised significant funding and is backed by leading investors, with a collaborative culture based in Palo Alto, CA. We prefer hybrid in-office, sharing ideas and launching products together.
We are seeking a Growth Engineer to accelerate the adoption and expansion of Pika’s creative AI platform. As a Growth Engineer, you will use your technical expertise to identify, build, and optimize features, systems, and experiments that drive user acquisition, activation, engagement, and retention. You’ll collaborate closely with product, design, marketing, and data teams to unlock rapid, measurable growth across the product.
You will combine hands-on engineering with a deep analytical mindset, iterating quickly on growth initiatives and leveraging both code and data to uncover opportunities. Your work will directly impact millions of creators and help us shape the future of AI-powered media tools.
Design, develop, and launch growth features and experiments across the Pika platform
Implement scalable A/B tests and personalization strategies to optimize user acquisition and retention
Analyze data to discover new growth levers and track the effectiveness of growth strategies
Work closely with product, marketing, and data teams to prioritize and execute high-impact growth initiatives
Rapidly prototype and ship new product surfaces, onboarding flows, and engagement loops
Optimize performance, reliability, and user experience for features targeting key growth metrics
Contribute to product virality, referral, and sharing capabilities to expand reach
Advocate for a data-driven, experimentation-focused engineering culture
4+ years of software engineering experience, ideally on product or growth teams
Proven record of building and optimizing user-facing features, preferably in consumer or SaaS products
Experience with experimentation frameworks, A/B testing, and data analysis
Strong problem-solving and analytical skills, with ability to translate insights into scalable solutions
Proficiency with modern web or backend technologies (Python, Go, Node.js, TypeScript, or similar)
Familiarity with growth tools and analytics platforms (Amplitude, Segment, Google Analytics, etc.)
Excellent communication skills and ability to collaborate with cross-functional teams
Self-motivated, curious, and comfortable operating in a fast-paced, high-growth environment
Experience in generative AI, creative tools, or social platforms
Background in high-growth startups or rapid experimentation roles
Open source, hackathon, or growth hacking experience
Python, Go, Node.js, Postgres, Redis, Docker, Kubernetes, AWS/GCP
Competitive salary in the AI industry
Substantial equity in a fast-growing startup defining the future of AI and creativity
Comprehensive health benefits, monthly stipends, and company retreats
Collaborative, high-growth culture—everyone contributes to growth and success
Own the acquisition and activation funnel end to end, building and optimizing landing pages, analytics, experiments, internal tools, and scalable growth loops to bring more businesses to the product.
Own and optimize integrated B2B demand generation across email, outbound, ABM, and marketing automation, turning targeted campaigns and buyer engagement into qualified meetings, pipeline, and revenue.
Tell the technical and business impact stories behind enterprise AI systems, shape the company’s positioning, build AI-powered marketing tools, and own channels and experiments from creation through measurement.
Own and improve the developer journey from signup through first integration and paid adoption, using analytics, experiments, and cross-functional work to reduce time-to-value and increase activation and retention.
Build and scale organic social as an acquisition channel by growing brand accounts, testing content and funnel strategies, and using data and AI to improve conversion and business results.
