Top Tech Jobs & Startup Jobs

Build and operate full-stack growth engineering features across backend and frontend. Responsibilities include database design, API integrations, payment and messaging workflows, LLM features, production operations, monitoring, security, releases, and adoption metrics. The role requires strong Python, React, PostgreSQL, Linux, Docker, CI/CD, and production ownership, including on-call support and safe operation of live systems.

Own the Lifecycle growth vertical across conversion, activation, engagement, retention, churn, winback, and expansion revenue. Use cohort analysis, segmentation, experimentation, and unit economics to turn insights into shipped product improvements. Responsibilities include onboarding, paywalls, rewards, notifications, cancellation flows, payment recovery, upsells, and lifecycle orchestration. The role requires fast, hands-on execution and close collaboration with analysts in a fully onsite environment.

Design monetization-focused consumer product experiences, including paywalls, pricing pages, checkout, upsells, onboarding, and subscription flows. Map user states across cohorts and lifecycle stages, use analytics and A/B testing to guide decisions, prototype rapidly, and scale successful concepts. Create high-quality web and mobile UI within the design system while collaborating closely with product managers, analysts, and engineers.

Build and optimize revenue-critical product experiences including paywalls, pricing pages, checkout, subscriptions, onboarding, upsells, and in-product communications. Implement complex payment and plan-state logic, run A/B tests and product-led growth experiments, collaborate with analysts, optimize performance, and maintain unit, integration, and end-to-end test coverage for payment and onboarding flows.

Works directly with the CEO and senior executives to solve ambiguous, high-priority business problems. Responsibilities include identifying growth opportunities, scaling processes, leading cross-functional initiatives, developing financial models and executive materials, and unblocking engineering, product, growth, and partnership teams. The role requires high ownership, strong analytical and communication skills, comfort with ambiguity, and the ability to deliver outcomes across multiple business areas.

Build and operate shared infrastructure services for queues, scheduling, caching, configuration, communication, databases, and media workloads. Improve scalability, concurrency, recovery, observability, deployment, debugging, and infrastructure cost. Partner with product engineers to investigate bottlenecks, deliver practical improvements, support production systems, and measure outcomes.

Build and operate high-traffic backend systems supporting AI creation workflows, collaboration, and community features. Own features from API design through production, improve database and service performance, implement secure multi-tenant APIs, and design asynchronous, real-time, and fault-tolerant architectures. Define metrics, dashboards, and alerts while collaborating with frontend teams. The role requires strong database, architecture, Kubernetes, CI/CD, observability, and product ownership skills.

Build backend infrastructure for AI agents, including orchestration, durable workflows, tool integrations, permissions, recovery, evaluation, and observability. Own capabilities from user-task discovery through production release and measurement. Improve completion rates, reliability, latency, and cost by investigating failed runs and user feedback. The role involves shipping quickly, making independent technical decisions, and developing systems for creative workflows involving images, video, and audio.

Own and grow Higgsfield AI’s highest-value enterprise accounts by driving revenue expansion, renewals, upsells, adoption, and long-term partnerships. The role develops strategic account plans, leads complex negotiations, builds C-suite relationships, identifies cross-business opportunities, conducts executive reviews, and translates AI capabilities into measurable business value. It also partners across Product, Engineering, Marketing, Customer Success, and leadership while managing forecasting, pipeline, and enterprise growth initiatives.

Own strategic agency partnerships, enterprise adoption, revenue growth, and complex commercial negotiations. Build relationships with global agency networks, creative organizations, and senior executives; expand adoption across business units and geographies; develop partnership and go-to-market strategies; and translate generative AI capabilities into scalable commercial opportunities. Collaborate with Product, Marketing, Sales, and executive leadership while managing pipelines, forecasting, partner feedback, and revenue performance.