Gametime

Backend Engineer

• Design and implement high-performance Golang microservices for e-commerce checkout, account management, and fraud mitigation.
• Take ownership of components and features within backend systems, ensuring reliability, scalability, and maintainability.
• Build, test, monitor, and maintain critical integrations and infrastructure.
• Develop and support robust internal and external APIs with high throughput and low latency requirements.
• Collaborate closely with Product, Design, and Data teams to deliver technical solutions aligned with user and business goals.
• Participate in code reviews, share knowledge with teammates, and uphold engineering best practices.
• Drive projects from implementation to production deployment with a focus on quality and operational readiness.
• Contribute to ongoing improvements in system performance, observability, and CI/CD workflows.
• Explore and help implement AI-powered capabilities within our systems and workflows, including agentic tools and intelligent automation.
• Support a collaborative, inclusive engineering culture through thoughtful communication and continuous improvement.

Senior Backend Engineer

Machine Learning Engineer

• Partner with Product, Marketing, Operations, and other teams to identify where ML can drive measurable value
• Translate business problems into clear modeling objectives, metrics, and experimentation plans
• Ensure ML efforts remain tightly aligned with business priorities and user impact
• Lead the design, development, and iteration of ranking, filtering, and personalization models across Gametime’s product surfaces
• Own modeling approaches, feature strategy, evaluation metrics, and offline and online experimentation
• Balance relevance, revenue, and user trust when evolving ranking solutions
• Apply LLMs and hybrid ML techniques to use cases such as semantic understanding, intent detection, content generation, and internal workflows
• Evaluate emerging tools and techniques, recommending pragmatic adoption where they provide clear benefit
• Establish best practices for testing, deploying, and monitoring LLM-powered models in production
• Manage and mentor applied ML practitioners, supporting growth in technical depth and business impact
• Set high standards for modeling rigor, experimentation discipline, and production readiness
• Collaborate closely with ML engineering and platform teams to ensure scalable and reliable deployment

Director, Applied Machine Learning

Influencer Marketing

• Lead Gametime’s creator relationship strategy across UGC, influencers, and brand ambassadors for paid and owned channels in support of both conversion and brand-building company objectives.
• Source, negotiate, brief, and own end-to-end the direct relationships with creators, fostering deep relationships with partners and energizing them to represent the Gametime brand.
• Partner with Creative and Growth to build a forward-looking and scalable UGC program through sourcing tools, direct outreach, and inbound creator interest to create a reliable, high-performing content engine.
• Partner closely with Performance Marketing to turn creator content into mobile-first UGC that drives IPM and CPI improvements, using data to guide creator selection and creative iteration.
• Build and operationalize an analysis framework for asset-level performance across both growth and brand initiatives, informing go-forward strategy for concepting, budgeting, briefings, and creator negotiation and retention decisioning.
• Collaborate with brand strategy, creative, organic social, and content teams to develop creator-led concepts, campaigns, and activations that support launches, partnerships, and cultural moments.
• Develop and nurture Gametime’s Creator Community, fostering long-term creator advocacy and repeat partnerships beyond one-off campaigns.
• Partner with Marketing and Creative Ops to establish clear workflows for creator briefing, asset delivery, approvals, and handoff across paid and organic channels to enable speed and scale.

Senior Creators & Influencers Strategy Manager

Brand Manager

• Lead Gametime’s brand strategy - evolving our positioning, audience insights, competitive differentiation, and messaging frameworks that guide all marketing and creative expression and build a deeper connection with fans
• Develop cut through, insight-driven creative briefs, collaborating cross functionally and with brand partners to translate audience, cultural, and category insights into actionable, consumer-facing creative that enhances adoption, loyalty, and advocacy
• Lead strategic brand planning for go-to-market initiatives, seasonal campaigns, and partnerships - ensuring consistent, compelling storytelling across paid and owned channels
• Own the relationship with Gametime’s PR agency - setting strategy, shaping narratives, managing execution, and ensuring earned media aligns with broader brand messaging and priorities
• Drive always-on brand expression by partnering with Organic Social, Content, CRM, Product, and Fan Happiness teams to ensure voice, tone, and visual identity remain consistent across all touchpoints
• Create and maintain a unified brand architecture and serve as a brand steward, evolving and enforcing Gametime’s tone, design language, and purpose - building internal understanding and adoption through playbooks, toolkits, and workshops
• Partner with Data to establish measurement frameworks that connect brand marketing activities to business outcomes - tracking funnel metrics, salience, perception, and long-term equity
• Monitor cultural, audience, and competitive trends to identify opportunities for breakthrough storytelling and category differentiation
• Define and lead brand planning processes and calendars working with Marketing Ops to align cross-functional teams around key initiatives, narratives, and campaign milestones

Senior Brand Strategy Manager

Data Scientist

• Collaborate closely with the User Acquisition team to optimize Paid Social campaign performance.
• Own the technical frameworks for tracking marketing effectiveness in a privacy-first world.
• Own the end-to-end design and maintenance of marketing analytics dashboards in BI tools.
• Conduct granular analysis on campaigns and creative performance with data-driven recommendations.
• Deeply analyze mobile user cohorts to understand retention and monetization behaviors.
• Collaborate with marketing and finance team members for channel incrementality measurement.

Data Scientist – Marketing Analytics, Mobile

Security Engineer

• Responsible for day‑to‑day security operations and hands‑on IT support that protect Gametime’s people, data, and systems.
• Focuses on internal user support, alert triage, identity and endpoint hygiene, vulnerability and access management, and first-line incident response.
• Initially begin focusing on IT support where needed and transition into full-time security engineering.

Security Engineer I

Customer Success Manager

• Overall Growth Strategy & Roadmap: Own the strategic vision and roadmap for CRM, including segmentation frameworks, testing agendas, personalization strategies, and automation expansions—all with the ultimate goal of driving improved first purchase conversion and LTV.
• Predictive capabilities and driving Hyper-Personalization: Establish and Scale Intelligent Timing and Orchestration, augmenting manual send strategies by deploying algorithms that determine exactly when a user is holding their phone.
• Platform Strategy & Architecture: Own the CRM platform strategy (e.g., Braze, modular ecosystem), serving as the primary owner of the relationship, ensuring we are maximizing our investment by utilizing the full Intelligence Suite.
• Cross-Functional Collaboration: Partner with Data Science to interpret insights, model performance scenarios, and translate analytical findings into actionable strategies and optimizations.
• Create a culture and program of continuous performance improvement through testing, Measurement & Optimization: Establish a structured experimentation framework—prioritizing tests based on expected impact, statistical rigor, and customer relevance.
• Team Leadership & Development: Coach and develop for the AI Era, ensuring CRM is a core growth driver of the business.

Senior Director, CRM

Attorney

• Provide guidance on regulatory compliance, including ticketing and resale regulations, consumer protection rules, and pricing transparency.
• Review user flows to ensure accuracy, clarity, and compliance with relevant regulations.
• Review and approve marketing claims, promotional materials, press releases, and other consumer-facing materials.
• Advise on data privacy and security requirements and help implement privacy-by-design practices with product and engineering.
• Manage IP strategy, including trademarks, copyrights, patents, and licensing.
• Advise the Board and executive team on governance best practices.
• Working closely with outside counsel, prepare and manage corporate records, board resolutions, and shareholder matters.
• Draft, review, and negotiate a wide variety of commercial agreements, including with vendors and strategic partners.
• Partner closely with HR on employee relations, internal investigations, and compliance initiatives.
• Identify legal and regulatory risks across the business and propose practical mitigation strategies.
• Manage pre-litigation disputes with customers, partners, and vendors; oversee outside counsel for any litigation or regulatory inquiries.
• Build and manage internal legal and compliance workflows, processes, and documentation.

Vice President, Legal

Full-stack Engineer

• Provide technical leadership for the Operations Automation Platform team, shaping architectural direction and driving delivery of automation-focused backend systems.
• Guide the technical/product roadmap in collaboration with Engineering, Product and Ops stakeholders, identifying high-leverage opportunities for internal efficiency.
• Design, prototype, and lead the implementation of systems and tools that automate manual workflows, especially those that can benefit from AI or agentic solutions.
• Actively contribute to backend development where needed, especially in early stages of projects or to unblock team members.
• Lead technical design discussions, code reviews, and drive adoption of best practices for reliability, observability, and maintainability.
• Mentor engineers on the team, elevate technical quality, and contribute to performance reviews via feedback and coaching.
• Evangelize new technologies — including AI/LLMs — that can improve the velocity, intelligence, or stability of our internal systems.
• Collaborate cross-functionally with multiple Ops teams to deeply understand their workflows and pain points, and drive engineering-led solutions.
• Maintain a healthy balance between speed and long-term quality, knowing when to ship scrappy MVPs and when to invest in robust infrastructure.

Tech Lead – Operations Automation Platform

Product Manager

• Own the vision and roadmap for technology, ML and AI for marketing at Gametime, aligning with broader growth and company priorities.
• Serve as the bridge between marketing stakeholders and technical teams—translating business challenges into technical requirements and ensuring solutions deliver measurable outcomes.
• Evangelize personalization and technology best practices across the marketing team and share results with executives and stakeholders.
• Partner with marketing teams such as CRM to define opportunities for advanced audience data models, personalization, and automated journeys and workflow.
• Enable predictive marketing use cases (e.g., churn prevention, LTV forecasting, event affinity scoring) by translating business needs into ML requirements.
• Leverage a combination of Braze out the box solutions, custom development by 3rd parties and our internal ML teams to build the underlying data models to enable advanced orchestration and personalization.
• Drive adoption of dynamic content optimization, send-time optimization, and multi-channel orchestration.
• Support cross-sell strategies and promotion optimization through automated decisioning and experimentation frameworks.
• Develop close working relationships with marketing partners such as Google, TikTok and Meta to develop joint technology solutions to improve marketing performance.
• Collaborate with SEM marketers to integrate ML-driven bidding, keyword optimization, and automated campaign adjustments.
• Operationalize advanced automation with ad platforms (Google, Meta, programmatic) and evaluate opportunities to pilot new betas.
• Guide the automation of targeting, creative testing, and budget allocation to maximize efficiency and ROI.
• Partner with Engineering and Analytics to ensure the right data pipelines, tooling, and measurement frameworks exist to power automation.
• Champion experimentation frameworks and incrementality testing to measure the true impact of ML-driven marketing programs.
• Define requirements for scalable, reliable infrastructure that supports continuous optimization.