AI Orchestration Lead
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Job Description
AI Orchestration Lead role focused on optimizing internal AI processes for a sports media company. Driving automation and performance improvements across departments at ScorePlay.
Responsibilities:
- Build and maintain ScorePlay's AI playbook: which tools, which workflows, what "good" looks like
- Define AI strategy in partnership with the CEO: where we go deep, where we standardize, what we skip
- Run a continuous horizon scan on frontier tooling and surface high-signal opportunities early
- Design and deploy multi-agent systems that automate high-volume, high-friction workflows across Sales, CS, Marketing, Finance, and People
- Own the technical architecture for how agents connect to our stack (HubSpot, Notion, Slack, Linear, Granola, n8n, Claude/Anthropic API)
- Build and iterate on internal tools and Claude-powered automations that reduce manual work and improve output quality
- Define benchmarks and run evals to measure agent performance: accuracy, reliability, cost, adoption
- Run structured weekly syncs with each Head of Department to challenge workflows, validate AI plans, and pressure-test roadmaps before execution
- Co-design function-specific agent strategies that get used, not just documented
- Build training materials and onboarding pathways so new hires are productive in our AI stack from day one
- Define the KPI framework for AI adoption across the company, with revenue per employee as the north star
- Audit the agent fleet: map every active agent, its permissions, cost, and impact
- Set guardrails to prevent agent sprawl — redundant tools, conflicting automations, unchecked API costs
- Report impact to the CEO and leadership on a regular cadence
Requirements:
- Hands-on experience building and deploying AI automations in a business context - not just prompting, actually shipping
- Comfortable with API integrations, workflow tools (n8n, Zapier, Make), and LLM orchestration patterns (prompt chaining, RAG, multi-agent handoffs)
- Familiarity with the Anthropic ecosystem (Claude, MCP, Claude Code) is a strong plus
- Able to evaluate and benchmark AI tools independently
- Strong cross-functional communication — equally effective in a Sales workshop and a technical review
- Experience in a high-growth SaaS or tech environment
- High bias for action; comfortable with ambiguity.
Benefits:
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Professional development opportunities
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