{"jobs":[{"absolute_url":"https://job-boards.greenhouse.io/nextleaguellc/jobs/5137274007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4632178007,"location":{"name":"New York, NY"},"metadata":null,"id":5137274007,"updated_at":"2026-05-18T20:50:29-04:00","requisition_id":null,"title":"AI Solutions Engineer","company_name":"Next League, LLC","first_published":"2026-05-18T20:50:29-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;This role begins as a contract position at an hourly rate of \u0026lt;strong\u0026gt;$200 USD\u0026lt;/strong\u0026gt; \u0026lt;strong\u0026gt;per hour,\u0026lt;/strong\u0026gt; providing a streamlined path toward a permanent, salaried full-time transition. Please note that while the contract phase offers a higher hourly rate in lieu of benefits, the full-time conversion introduces a comprehensive total rewards package, including premium health coverage and retirement programs, alongside a restructured annual salary.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Next League is seeking an AI Solutions Engineer to design, build, and ship production AI systems across our portfolio of sports, entertainment, and league clients. This is the engineering counterpart to our Data Scientist and AI Product Manager roles, and the person who turns prototypes and discovery work into deployed, scaled, and integrated solutions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The role combines two core capabilities: building AI agents and applied LLM systems, and engineering computer vision pipelines that power fan-facing experiences and content operations. You will work across the full lifecycle, from architecting a solution with a client, to shipping a v1, to integrating it into the client\u0026#39;s stack and hardening it for production. You will partner closely with AI Product Managers, data scientists, and client engineering teams. Clients include professional teams, leagues, major sports properties, and national governing bodies.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Projects may span:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;AI agents, copilots, and assistants for sales, service, content, and internal workflows\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Retrieval-augmented generation (RAG) and tool-using agent systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Computer vision pipelines for fan-facing experiences (mobile, AR, in-venue activations, second-screen experiences)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Computer vision for content operations (highlight detection, automated tagging, content moderation, metadata enrichment)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Multi-modal AI systems that combine LLMs and vision models\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Production deployment, MLOps, and integration into client CRM, ticketing, content, and marketing platforms\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluation, monitoring, and guardrail systems for agent and CV solutions\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;Essential Duties and Responsibilities\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;The following and other duties may be assigned as necessary:\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;AI Agent \u0026amp;amp; Applied LLM Engineering\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build and ship AI agents, copilots, and RAG systems using leading frameworks (LangChain, LangGraph, OpenAI Agents SDK, Claude, and similar)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design tool-use patterns, function calling, and orchestration logic for multi-step agent workflows\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop evaluation rubrics and harnesses for agent quality, covering accuracy, latency, cost, and safety\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Optimize prompts, retrieval pipelines, and model selection for production performance\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;Computer Vision Engineering\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Engineer CV pipelines that power fan-facing experiences across mobile, AR, in-venue, and digital channels\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build content operations tooling including automated highlight detection, tagging, moderation, and metadata enrichment for video and image assets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Train, fine-tune, and evaluate vision models (object detection, segmentation, classification, embedding, multi-modal)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Integrate vision systems with downstream content management, marketing, and fan engagement platforms\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;Production Systems, Deployment \u0026amp;amp; Integration\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Deploy AI and CV systems into production environments with appropriate monitoring, logging, and observability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Integrate solutions into client systems including CRM (Salesforce, HubSpot), ticketing, content management, and marketing automation platforms\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Optimize systems for cost, latency, throughput, and reliability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to responsible AI, governance, privacy, and enterprise data handling practices\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;Client Engagement \u0026amp;amp; Delivery\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Partner with AI Product Managers and consultants to translate discovery into shippable technical solutions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Operate as a hands-on technical lead on client engagements, with occasional embedding for solution design, integration, and hardening\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Communicate technical tradeoffs to non-technical stakeholders with clarity and credibility\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute reusable patterns, templates, and reference implementations that scale Next League\u0026#39;s delivery across accounts\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;Qualification Requirements\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;3 to 5 years of experience as an ML engineer, AI engineer, or software engineer shipping production AI/ML systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong Python proficiency, with comfort in at least one of TypeScript, Node.js, or Go for production services\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience building and deploying AI agents, copilots, or RAG systems using modern agentic frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience building production computer vision systems, including model training, fine-tuning, or evaluation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to take AI/ML work from prototype to production with appropriate monitoring and reliability practices\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with large language model APIs and at least one major model provider (Claude, OpenAI, Gemini, or similar)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communication skills and the ability to operate in client-facing technical conversations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort with system design fundamentals: APIs, authentication, retrieval, event tracking, queues, and storage\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;Preferred Experience\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Sports, entertainment, league, media, or content industry experience strongly preferred\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with leading AI platforms such as:\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Claude\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;ChatGPT / OpenAI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Google Gemini / Vertex AI\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Microsoft Copilot (M365 / Copilot Studio)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;AWS Bedrock\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Azure AI Foundry\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with agentic frameworks (LangChain, LangGraph, OpenAI Agents SDK, CrewAI)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with video processing pipelines, automated highlight generation, or content moderation systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with AR or mobile computer vision (ARKit, ARCore, WebAR, on-device inference)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with vector databases (Pinecone, Weaviate, pgvector) and embedding workflows\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with cloud platforms (AWS, GCP, Azure) and MLOps tooling\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with marketing, CRM, ticketing, content management, or fan engagement platforms\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with automation tools such as n8n or Zapier\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background in responsible AI practices, model governance, and enterprise data handling\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;Who Will Thrive in This Role\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Engineers who love shipping, and who measure their work in production systems and business outcomes\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Builders who can move fluently between agent orchestration and computer vision pipelines\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Pragmatists who can architect cleanly, ship fast v1s, and harden them into production\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Practitioners excited to apply AI across fan experiences, content operations, and live sports environments\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;p1\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;s1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;#LI-DNI\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":4064378007,"name":"AI \u0026 Innovation","child_ids":[],"parent_id":null}],"offices":[{"id":4028745007,"name":"US","location":"United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/nextleaguellc/jobs/4540461007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4330916007,"location":{"name":"Remote"},"metadata":null,"id":4540461007,"updated_at":"2025-09-12T17:16:08-04:00","requisition_id":null,"title":"Are you ready for what's Next?","company_name":"Next League, LLC","first_published":"2024-10-14T13:06:16-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;While we may not have an open role for you right now, we’d love to stay in touch! If you’re excited about the possibility of working with us in the future, feel free to drop your resume. We’ll keep it on file and reach out when we have a position that fits your background and experience.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We look forward to connecting when the time is right!\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4046305007,"name":"All","child_ids":[],"parent_id":null}],"offices":[{"id":4028745007,"name":"US","location":"United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/nextleaguellc/jobs/5137271007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4632177007,"location":{"name":"United States"},"metadata":null,"id":5137271007,"updated_at":"2026-05-21T15:51:25-04:00","requisition_id":null,"title":"Data Scientist","company_name":"Next League, LLC","first_published":"2026-05-15T09:53:48-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;This role begins as a contract position at an hourly rate of \u0026lt;strong data-path-to-node=\u0026quot;0\u0026quot; data-index-in-node=\u0026quot;61\u0026quot;\u0026gt;$200 USD per hour\u0026lt;/strong\u0026gt;, providing a streamlined path toward a permanent, salaried full-time transition. Please note that while the contract phase offers a higher hourly rate in lieu of benefits, the full-time conversion introduces a comprehensive total rewards package, including premium health coverage and retirement programs, alongside a restructured annual salary.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Next League is seeking a Data Scientist to join the AI Strategy, Training and Transformation team. This role pairs rigorous applied data science with hands-on AI agent prototyping to power how we deliver measurable outcomes for our sports, entertainment, and league clients.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The role sits at the intersection of quantitative modeling and applied AI engineering. You will design and ship models that drive revenue, marketing performance, fan engagement, and operational efficiency, while also prototyping AI agents and applied AI tooling that scale our delivery across client accounts. You will collaborate primarily with product, strategy, and engineering counterparts, with occasional embedding on client engagements to lead technical discovery, audit data, and architect modeling solutions. Clients include professional teams, leagues, major sports properties, and national governing bodies.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Projects may span:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Predictive and propensity modeling (fan churn, lookalike audiences, conversion likelihood, lifetime value)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Marketing performance, attribution, and media mix modeling\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Pricing, demand forecasting, and inventory optimization for ticketing and hospitality\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Recommendation and personalization systems for fan-facing experiences\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;AI agent prototypes for sales, service, content, and internal workflows\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluation frameworks for LLM and agentic systems (accuracy, latency, cost, safety, drift)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Custom analytics and insight tooling for Next League consultants and client stakeholders\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;Essential Duties and Responsibilities\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;The following and other duties may be assigned as necessary:\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;Modeling \u0026amp;amp; Applied Data Science\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design, build, and deploy machine learning and statistical models that address client business challenges across revenue, marketing, and fan engagement\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead exploratory data analysis, feature engineering, and model selection across structured and unstructured client data\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Translate ambiguous business problems into well-scoped modeling initiatives with clear success metrics\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build evaluation frameworks and monitor model performance, drift, and business impact over time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Document modeling decisions, assumptions, and tradeoffs in a way that earns trust with both technical and non-technical stakeholders\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;AI Agent \u0026amp;amp; Applied AI Development\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Prototype AI agents, copilots, and assistants using leading frameworks such as LangChain, LangGraph, OpenAI Agents SDK, and Claude\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build retrieval-augmented (RAG) pipelines and tool-using agent workflows for internal and client use cases\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop evaluation rubrics for agent quality covering accuracy, latency, cost, and safety guardrails\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with engineering to harden prototypes into production-ready solutions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Stay current on the rapidly evolving model and tooling landscape, and bring practical recommendations back to the team\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;Client \u0026amp;amp; Team Collaboration\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Support AI Product Managers and consultants with quantitative analysis, modeling, and technical deep-dives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Occasionally embed with client teams to lead data audits, modeling workshops, and technical architecture discussions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Communicate complex modeling results to non-technical stakeholders with clarity and credibility\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to executive-ready deliverables including business cases, demos, and rollout plans\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;Tooling, Productization, and Governance\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Help shape Next League\u0026#39;s internal data science and AI tooling stack\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build repeatable patterns that scale modeling and agent work across the client portfolio, including notebooks, evaluation harnesses, prompt libraries, and modeling templates\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to responsible AI, model governance, privacy, and enterprise data handling standards\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;Qualification Requirements\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;3 to 5 years of experience in data science, applied machine learning, or quantitative analytics roles\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong foundation in statistics, machine learning, and experimental design\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in Python and SQL, with comfort in at least one major ML library (scikit-learn, PyTorch, TensorFlow, XGBoost, or similar)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience building and deploying models against real business problems with measurable outcomes\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience working with large language models and at least one agent or RAG framework\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong product instincts and the ability to ship pragmatic v1s under tight timelines\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceptional communication skills, with the ability to translate model outputs into business recommendations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort operating in ambiguity and shaping problems before solving them\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of responsible AI practices, governance considerations, and enterprise data handling\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;Preferred Experience\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Sports, entertainment, league, media, or performance marketing experience strongly preferred\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with leading AI platforms such as:\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Claude\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;ChatGPT / OpenAI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Google Gemini / Vertex AI\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Microsoft Copilot (M365 / Copilot Studio)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;AWS Bedrock\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Azure AI Foundry\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with agentic frameworks (LangChain, LangGraph, OpenAI Agents SDK, CrewAI)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with vector databases (Pinecone, Weaviate, pgvector) and embedding models\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with cloud data platforms such as Snowflake, BigQuery, or Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with marketing analytics, CRM data (Salesforce, HubSpot, Dynamics 365), ticketing systems, or fan engagement platforms\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with automation tools such as n8n or Zapier\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort with core system concepts: APIs, permissions, retrieval and search, event tracking\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to MLOps and model deployment workflows\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;Who Will Thrive in This Role\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Data scientists who want to do more than build models, and who are excited to ship applied AI that drives client outcomes\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Builders who are equally comfortable in a Jupyter notebook and in a client meeting\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Pragmatists who can move from messy data to a working pilot quickly without losing analytical rigor\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Practitioners excited to apply data science and AI across sports, fans, and live experiences\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p class=\u0026quot;p1\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;s1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;#LI-DNI\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":4064378007,"name":"AI \u0026 Innovation","child_ids":[],"parent_id":null}],"offices":[{"id":4028745007,"name":"US","location":"United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/nextleaguellc/jobs/5132481007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4628983007,"location":{"name":"United States"},"metadata":null,"id":5132481007,"updated_at":"2026-05-20T12:24:48-04:00","requisition_id":null,"title":"Vice President of Engineering","company_name":"Next League, LLC","first_published":"2026-05-15T09:54:22-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;Next League is hiring a Vice President of Engineering to lead our team through its next phase of growth. This is a hands-on senior leadership role reporting to the Chief Digital Officer, with ownership of our delivery practices and the technical platforms that underpin work for our clients. This role will continue the acceleration of our engineering modernization, scale our use of AI across client deliverables, and raise the technical bar across every engagement.\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Advance our AI-assisted engineering operating model and expand our generative and agentic AI capabilities, in collaboration with the broader Next League staff.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive continued improvement in architecture and delivery quality across client engagements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Help shape where Next League invests in proprietary capability, where we lean on platform partners, and where we integrate best-of-breed third-party technologies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define and champion an AI-grounded multi-year technology roadmap aligned with business growth and client needs across leagues, federations, teams, venues, and media organizations.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Key Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Team Leadership \u0026amp;amp; Operating Model\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead, mentor, and grow Next League’s engineering organization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evolve how the team builds: AI-assisted development workflows, strong technical standards, tight product/design/engineering collaboration, and fast prototyping-to-production paths.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintain and extend technical standards across Infrastructure as Code, source control discipline, CI/CD pipelines, microservices decomposition, security-by-design, and performance testing at scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure resilient and scalable delivery for live sporting events and other business-critical client environments.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;AI, Data \u0026amp;amp; Platform Innovation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Scale Next League’s production AI engineering practice across the Marketing Tech and Media Tech solutions we deliver for clients.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead the design of observability and operations practices: component-level metrics, product-level evaluation, and integrated dashboards for live event monitoring.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Guide the design and scaling of fan data and revenue platforms that deliver personalized, real-time experiences that drive revenue for our clients’ audiences.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Client Partnership \u0026amp;amp; Executive Engagement\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with client technical leaders to define and build architecture, AI, and delivery solutions that drive outcomes aligned with their business objectives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute technical depth and thought leadership to proposals, pitches, and discovery work, including co-authored content with cloud and platform partners.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Represent Next League at industry conferences, partner events, and in published insights.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Experience designing and operating modern cloud-native platforms across distributed systems, APIs, event-driven architectures, observability, security, and infrastructure automation. The ideal candidate does not need hands-on depth in every framework or vendor on the market today, but should be confident coding, evaluating architectures, guiding teams, and making sound technical tradeoffs across a fast-moving ecosystem.\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10+ years of progressive technology leadership, with at least 5 years in a senior director or VP-level role managing and growing engineering teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record architecting and delivering large-scale platforms for sports, media, entertainment organizations, or similar industry.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience operationalizing AI (e.g., ML, generative, agentic) in production.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Direct experience with AI-assisted coding tools, with the ability to guide teams on best practices for adopting and operating them.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing and scaling real-time systems where latency and accuracy are mission-critical.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expert hands-on development experience in modern tech stack, preferably Node/Next/Typescript.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable representing the firm with clients, partners, and at industry events.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional services organization or similar team working environment experience is required\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working within or directly alongside a professional supporting sports organizations, tours, leagues, federations, governing bodies, broadcasters, or media rights holders,\u0026amp;nbsp; is strongly preferred.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Strong familiarity with several of the following:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Cloud infrastructure and serverless platforms; Infrastructure as Code and environment automation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Real-time data pipelines, modern analytics stacks, and large-scale data warehousing.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;LLM-enabled application patterns, agentic workflows, prompt-as-code practices, and evaluation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Monitoring, observability, and production support.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Personalization, decisioning, and intelligent automation in client marketing and media technology products.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;We expect fluency with the kinds of ecosystems and tools used by modern AI-driven engineering teams, for example, cloud platforms (AWS, Google Cloud, Microsoft Azure), Infrastructure as Code and orchestration (Terraform, Kubernetes), data and analytics platforms (Snowflake, Databricks, dbt), observability (Datadog), AI/ML frameworks (LangChain, vector databases, MLflow, Anthropic, OpenAI), and AI coding assistants (Claude Code, Cursor, Codex). Equivalent experience with comparable technologies is welcome.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Leadership Attributes\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Strategic thinker with a bias for action who is energized by fast-moving, AI-driven environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborative, people-first leader who invests in the growth of individuals and teams through mentoring and coaching.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Intellectually curious and externally visible; comfortable sharing technical thought leadership through writing, conference presentations, and partner co-authorship.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mission-aligned with Next League’s commitment to diversity, mentorship, and social impact.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;Travel Requirements\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;This position is expected to travel to Next League office and client sites as needed; about 50% of travel required.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;Work Environment\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job.\u0026amp;nbsp; Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate.\u0026lt;strong\u0026gt;\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;p1\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;s1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;#LI-DNI\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 16px;\u0026quot;\u0026gt;Next League is the leading digital growth consultant and technology solutions partner helping lead the sports industry to know what’s next. Founded by a team of technology veterans with decades of success in sports, Next League is redefining the digital agency and technology services model to unlock new business growth, digital innovation and technology solutions with a commitment to lasting social impact. The people-first, culture-driven approach puts a focus on building inclusive, curious and collaborative relationships that deliver next level digital experiences.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 16px;\u0026quot;\u0026gt;Salary will be commensurate with a variety of factors, including qualifications, experience and geographic location. We strive to provide the best working environment for our team members by offering the following benefits:\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 16px;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 16px;\u0026quot;\u0026gt;Retirement Plan Programs (with a company match!)\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 16px;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 16px;\u0026quot;\u0026gt;Unlimited Vacation \u0026amp;amp; Sick Time\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 16px;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 16px;\u0026quot;\u0026gt;Excellent Health Benefits Packages\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 16px;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 16px;\u0026quot;\u0026gt;Flexible Working Opportunities (we are a 100% remote business)\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 16px;\u0026quot;\u0026gt;Diversity, Equity, and Inclusion are the care of our culture at Next League. Providing a safe and inclusive space for all team members to ensure their voice is heard is critical to our success. Next League provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$250,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$325,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4032222007,"name":"Engineering","child_ids":[],"parent_id":4032226007}],"offices":[{"id":4028745007,"name":"US","location":"United States","child_ids":[],"parent_id":null}]}],"meta":{"total":4}}