Top Tech Jobs & Startup Jobs in Austin, TX

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 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.

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.

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.

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.

Lead creation and execution of creative, account-specific ABM for large consumer apps: map and prioritize target accounts, build 1:1 and 1:few campaigns, partner closely with Sales, develop AI-native GTM workflows, own account journey metrics, and scale repeatable playbooks that generate high-quality conversations and pipeline.

Own the end-to-end customer lifecycle for RC Capital: qualify leads, onboard customers, manage accounts, resolve disputes and operational/risk issues, and run marketing and automation initiatives to improve funnel performance and reduce manual work.

Partner with Marketing, Sales, Finance, Product and other teams to turn business questions into actionable analysis. Own end-to-end analytics: build datasets and dashboards (dbt, LookML), maintain metric definitions and caveats, use and curate agent tooling for trustworthy answers, and contribute small data platform and pipeline improvements.