Gametime

• Own install volume, ROAS, and downstream GMV performance across paid acquisition channels. • Manage and optimize campaigns across Meta, TikTok, Apple Search Ads, Google App Campaigns, and emerging acquisition platforms. • Partner with Data teams to develop audience segmentation and user quality frameworks. • Collaborate with Product teams to improve post-install conversion and activation experiences. • Partner with Creative teams to develop testing strategies and performance hypotheses. • Drive experimentation across audience strategy, bidding approaches, creative concepts, and channel expansion opportunities. • Contribute to attribution, incrementality, and measurement initiatives in privacy-constrained environments. • Build reporting frameworks and actionable insights for Growth leadership.

• Own ROAS, efficiency, and growth targets across a multi-million-dollar paid search budget. • Develop and optimize campaign architecture across Google Ads and Microsoft Ads. • Build and refine keyword strategy, bidding frameworks, audience targeting, negative structures, and query management. • Audit and direct automated bidding systems, ensuring platform automation aligns with business objectives. • Partner closely with Product to improve post-click conversion performance and landing page experience. • Collaborate with Data and Analytics teams on attribution, incrementality, and measurement initiatives. • Identify and execute new growth opportunities across search inventory, seasonal demand patterns, and audience expansion. • Build reporting frameworks and performance insights that support decision-making across Growth leadership.

• Design, build, and ship LLM-powered features and agentic workflows that serve real Gametime users in production. • Build and maintain evaluation frameworks, prompt testing pipelines, and regression suites that ensure quality and reliability of AI-powered experiences. • Contribute to the orchestration layer, including agent routing, tool use, state management, and multi-step workflow coordination. • Develop and optimize prompt optimization strategies, structured outputs, and LLM integration patterns across the platform. • Propose architecture decisions and technical designs for review by the team's tech lead, balancing speed with long-term maintainability. • Collaborate cross-functionally with product, engineering, and data teams to translate customer needs into AI system design. • Stay current with the rapidly evolving LLM and agentic AI landscape, bringing practical new techniques into the team's toolkit.

• Own the full arc from post-purchase to resolution • Rebuild operating model with AI at the center • Drive structural cost reduction and margin improvement

• Supports the protection of Gametime’s people, data, and systems through a combination of security operations and foundational engineering work. • Handles alert triage, vulnerability and access management, and incident response while helping build and improve cloud security, identity, and automation capabilities. • Works closely with senior team members to implement scalable controls and strengthen security. • Enables a secure SDLC: supports vulnerability management, secrets management, and security checks in CI; raises risks in design/review with actionable recommendations. • Builds and improves cloud security controls in AWS through automation, ensuring continuous monitoring, compliance, and rapid response to security events. • Maintains strong identity and access hygiene, including enforcing MFA, applying least-privilege access patterns, supporting access reviews, and helping build automation to enforce these controls. • Creates, monitors, and triages security signals in Datadog, CloudWatch, and Grafana; participates in SIEM evaluation and onboarding. • Coordinates and maintains security training and awareness programs. • Provides backup support for IT operations when needed. • Authors and maintains security documentation, including policies, procedures, and runbooks. • Supports audits, compliance assessments, and third-party risk reviews.

• Build and ship production features in React (legacy SPA) with TypeScript. • Contribute to our Astro-based static and mixed-rendering architecture. • Implement performance optimizations that improve Core Web Vitals (LCP, CLS, INP). • Apply technical SEO best practices within features (rendering behavior, metadata, structured data, crawl-safe patterns). • Work within SSR, SSG, and hydration constraints — understanding tradeoffs and execution details. • Contribute to shared features in React Native when functionality overlaps with web. • Move features cross-platform when appropriate rather than relying on handoffs. • Collaborate with mobile engineers on platform-specific adjustments. • Contribute to performance-sensitive areas, including occasional native integrations as our tooling evolves. • Use AI agents for component generation, test writing, and performance optimization — our mixed-rendering architecture involves a lot of SSR/SSG scaffolding and rendering validation that benefits from agentic coding. • Participate in code reviews and architectural discussions. • Ship iteratively with a strong bias toward measurable performance impact.

• Build and ship production features in React (legacy SPA) with TypeScript. • Contribute to our Astro-based static and mixed-rendering architecture. • Implement performance optimizations that improve Core Web Vitals (LCP, CLS, INP). • Apply technical SEO best practices within features (rendering behavior, metadata, structured data, crawl-safe patterns). • Work within SSR, SSG, and hydration constraints — understanding tradeoffs and execution details. • Contribute to shared features in React Native when functionality overlaps with web. • Move features cross-platform when appropriate rather than relying on handoffs. • Collaborate with mobile engineers on platform-specific adjustments. • Contribute to performance-sensitive areas, including occasional native integrations as our tooling evolves. • Use AI agents for component generation, test writing, and performance optimization. • Participate in code reviews and architectural discussions. • Ship iteratively with a strong bias toward measurable performance impact.

• Own and evolve core consumer journeys across onboarding, discovery, search, event exploration, and decision-making. • Deeply understand our customers through qualitative research, quantitative data, and behavioral insights. • Lead ambiguous, high-impact problem spaces, framing opportunities and defining experience direction from first principles. • Design high-quality UI and UX, from early concepts and prototypes to polished, production-ready designs. • Concept and validate new value propositions that help users more easily discover, evaluate, and choose events. • Partner closely with Product, Engineering, and Data to bring ideas to life and ensure high-quality execution. • Contribute to AI-enabled experiences—such as personalization, smarter discovery, or decision support—by shaping interaction models, user flows, and trust-building patterns, and by helping ship these features in production. • Drive activation and conversion outcomes through experimentation, iteration, and close collaboration with growth and analytics partners. • Use metrics and learning loops to evaluate impact and continuously improve the consumer experience. • Raise the bar for craft and product thinking, influencing design quality beyond your immediate projects. • Mentor and support other designers, contributing to a strong, thoughtful design culture.

• Define and drive the long-term technical vision and architecture for Gametime's mobile platform across iOS and Android via React Native. • Explore, evaluate, and champion AI-powered capabilities within the mobile development workflow — including agentic coding tools, on-device intelligence, and AI-driven personalization features. • Own the end-to-end technical strategy for the mobile app, from architecture patterns and platform infrastructure to performance and release engineering. • Lead cross-functional initiatives spanning mobile, backend, product, design, and data teams, ensuring alignment on priorities and execution. • Establish and enforce engineering standards for code quality, testing, observability, and mobile-specific best practices across the org. • Mentor and uplift engineers at all levels through code reviews, architectural guidance, and technical thought leadership. • Drive mobile app performance, reliability, and release quality — including CI/CD pipelines, crash monitoring, and progressive rollout strategies. • Partner with Product and Design to shape the mobile roadmap, translating business goals into technically sound solutions. • Identify and eliminate platform-level bottlenecks that slow down team velocity or degrade user experience. • Promote a high-performing, inclusive engineering culture through tech talks, documentation, and engineering excellence.

• Assist in developing and maintaining frameworks to attribute marketing efforts and track customer journeys, user growth, and retention across various channels. • Analyze marketing and user behavior data to identify trends, insights, patterns, and areas for improvement. • Support the management of tracking systems and help generate comprehensive reports on marketing performance and user retention. • Work closely with marketing, product, and data teams to align analytics efforts with overall business growth goals. • Provide data-backed recommendations for marketing timing, channel optimization, and user engagement. • Help deliver detailed reporting on campaign effectiveness, organic/paid channel performance, and key metrics. • Stay up-to-date on industry best practices and emerging marketing analytics techniques.