Gametime

Growth Marketing

• Web-driven GMV and blended contribution economics as your core metric — not the performance of any single channel in isolation.
• Own the comprehensive view of a web customer’s total lifecycle, defining and strengthening the funnel to drive customer lifetime value.
• Direct management of our paid search team — strategy, budget allocation, and performance, with enough SEM fluency to coach and push, not necessarily to execute it yourself.
• Hands-on partnership with Product on CRO — analyzing funnel performance and customer behavior, prioritizing a testing roadmap, and pushing site/experience changes that move conversion, not just requesting them.
• An experimentation engine — establishing a rigorous testing culture across landing pages, user flows, and conversion optimization, in partnership with Product and Engineering.
• Building SEO and content capability from the ground up — scoping the opportunity, deciding whether it's an agency, contractor, or eventual hire, and standing up the initial engine.
• Cross-functional input into paid social and CRM where it intersects with the web funnel or GMV mix, without formal ownership of that channel.
• A clear, data-grounded point of view on when web should feed app installs versus stand on its own, with tradeoffs made explicit to leadership.
• Full-funnel economics — blended CAC/LTV, contribution margin, AOV — as the language you use to defend tradeoffs, not channel-level vanity metrics.
• Visibility and operating cadence — building the dashboards, metrics, and business reviews that keep web growth focused on the highest-impact opportunities.

Director, Web Growth

Data Analyst

• Own the analytical frameworks for tracking mobile marketing effectiveness in a privacy-aware environment, bridging platform-reported data, attribution data, MMP data, and internal truth to support confident decisions despite measurement noise.
• Own the end-to-end design and maintenance of marketing analytics dashboards in Sigma/Tableau, serving as a trusted source of truth for performance, user quality, payback, and profitability reporting.
• Conduct granular analysis on campaign, ad set, ad, and creative performance (IPM, CPM, CPI, CAC, ROAS), providing data-driven recommendations and partnering with marketing to spot creative fatigue and winning assets.
• Analyze mobile user cohorts to understand retention, monetization, payback, and LTV behaviors, identifying efficiency trends across leagues, teams, and acquisition sources to guide budget allocation.
• Partner with marketing and finance to understand channel incrementality, profitability, and spend efficiency, building financial scenario models to inform where to scale, reduce, or reallocate spend.
• Design, analyze, and interpret experiments to measure true channel incrementality and marketing lift, including geo-lift, PSA tests, and audience holdouts, translating results into practical recommendations.
• Own analytical support for retargeting and audience strategy, building and maintaining user lists and improving segmentation to ensure programs drive incremental value rather than capturing organic demand.
• Analyze how marketplace conditions, event demand, league mix, pricing, and seasonality influence acquisition efficiency, helping distinguish marketing execution shifts from broader marketplace dynamics.
• Partner with leadership to translate complex analyses into clear recommendations on spend allocation, channel strategy, and growth investment, communicating tradeoffs and risks to support fast decisions.
• Stay current on the evolving mobile privacy and attribution landscape (Apple ATT, MMP capabilities) to keep data science a competitive advantage in how Gametime measures and scales mobile growth.

Senior Data Scientist, Marketing Analytics – Mobile

Full-stack Engineer

• 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.

Staff Mobile Engineer – Tech Lead

• Build and ship high quality full-stack features across web, mobile, backend services, and APIs.
• Design scalable, reliable systems that support millions of users.
• Develop and maintain high-performance services, integrations, and infrastructure.
• Partner with Product, Design, and Data teams to solve customer and business problems.
• Own projects from concept through deployment and ongoing optimization.
• Write high-quality code, participate in code reviews, and contribute to engineering best practices.
• Improve system performance, observability, and developer productivity.
• Help drive AI adoption through intelligent automation, agentic tools, and AI-powered workflows.
• Collaborate with a talented team in a culture focused on ownership, learning, and continuous improvement.

Senior Fullstack Engineer, Staff

Frontend Engineer

• Own high quality end-to-end delivery of major consumer-facing features—from technical design through launch, experimentation, and iteration.
• Drive frontend architecture decisions: component design, state management, data-fetching patterns, and performance budgets.
• Build and optimize conversion-critical flows (event discovery, seat selection, checkout) with a relentless focus on speed, reliability, and UX quality.
• Design, instrument, and interpret A/B experiments in partnership with Product and Data; use results to validate and sharpen product decisions.
• Instrument frontend observability—error tracking, performance monitoring, real-user metrics—and act on what you find.
• Contribute to design-system components and front-end standards that accelerate the whole team.
• Mentor junior and mid-level engineers through code review, pairing, and technical leadership on shared initiatives.
• Collaborate with mobile, backend, and platform teams to deliver cohesive cross-platform experiences.

Front End Engineer – Senior, Staff

• 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.

Senior Manager, User Acquisition

Performance Marketing

• 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.

Senior Manager, Paid Search

Machine Learning Engineer

• 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.