Top Tech Jobs & Startup Jobs

Build and scale the internal developer platform: create tools, services and automation (CI/CD, canaries, feature flags, access workflows) using IaC (Pulumi/Python) and Kubernetes to enable safe, fast shipping. Drive platform initiatives, mentor teams, lead AI tool adoption for engineering, participate in on-call and design/code reviews, and ship major improvements across the organization.

Design and ship high-converting mobile paywalls, onboarding flows, and purchase funnels using RevenueCat builders. Lead discovery, propose experiment plans, run multivariate tests, analyze results, and codify successful patterns into templates and content. Partner with Product, Marketing, and Advocacy; present findings publicly and advise internal teams on monetization UX best practices.

Build foundational agent infrastructure for an AI assistant: orchestration, tool execution, context management, evaluation, and trust/permissions. Ship reliable, observable, and secure backend systems, launch agentic features, own core infrastructure, participate in on-call, and mentor others.

Own go-to-market and adoption campaigns for developer-focused product areas: build lifecycle campaigns, design and optimize web pages, produce case studies and enablement, gather market insights, and run creative brand projects. Lead end-to-end product launches, collaborate across Product, Sales, and Marketing, and optimize self-serve funnels to drive activation, retention, and revenue.

Lead and grow a distributed software engineering team to design, ship, and support web-based features. Balance new feature delivery, technical debt, and system improvements; perform hands-on code review and triage; collaborate cross-functionally with product, design, and support; hire, coach, and mentor engineers; and establish processes for iterative, high-quality delivery that meet customer needs and SLAs.

Design, build, ship, and support backend services and end-to-end features focused on reliability, scalability, and performance. Debug production issues, write and debug SQL, follow testing best practices, collaborate in a remote team, participate in on-call, and contribute to architecture and roadmap decisions.

Own inbound technical sales conversations: lead discovery, demo and proof-of-concept builds, validate integrations with RevenueCat SDKs/APIs, produce enablement content, shorten evaluation cycles, and provide product feedback to shape features.

Proactively explore RevenueCat data to identify customer problems and opportunities. Translate ambiguous product questions into analyses and production-grade predictive/descriptive models. Partner with Product, Engineering, and Analytics to shape roadmaps, define experimentation and benchmarking approaches, deploy and iterate on models powering customer-facing features, and communicate insights across technical and non-technical audiences.

Design, build, ship, and maintain end-to-end product features across frontend, backend, and data layers. Own projects from definition through production, improve reliability and scalability, collaborate with product and design, mentor engineers, and engage with customers to solve real user problems.

Founding Data Scientist for RC Capital responsible for building underwriting, fraud detection, anomaly detection, and lead-qualification models; integrating risk signals into product flows; deploying and monitoring production models; analyzing cross-platform revenue data; and defining DS strategy to scale fintech products.