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About the Role

We are building an applied AI function focused on transforming how work gets done across the enterprise through agentic systems, workflow redesign, and intelligent data integration. We are seeking a VP, AI to lead this transformation end-to-end. This role owns how AI is identified, evaluated, built, and scaled within the organization’s workflows, moving from fragmented experimentation to a structured, repeatable system that delivers measurable business impact. You will operate across platforms, define how agents interact with enterprise systems and data, and establish the operating model required to scale adoption. This is a systems leadership role requiring a balance of strategy, product thinking, and execution. You will translate ambiguous business problems into deployable solutions, drive platform and architecture decisions, and build the frameworks that embed AI into day-to-day operations.

Responsibilities

Lead structured evaluation of AI platforms (e.g., Gemini, Claude, Perplexity), identifying strengths, limitations, and integration pathways
Translate platform capabilities and constraints into clear prioritization for enterprise-wide adoption
Identify and scale high impact use cases tied to measurable business outcomes
Design and scale multi-step, agent-driven workflows that automate and augment core business processes
Translate complex, ambiguous workflows into structured, automatable systems
Ensure AI is embedded into core operations, not deployed as isolated tools
Establish reusable patterns to scale beyond one-off solutions
Drive consistency across teams while maintaining speed and flexibility
Define how third-party systems (SaaS platforms, databases, APIs) integrate into AI workflows
Establish scalable ingestion and integration patterns working with Infrastructure and Architecture Leadership throughout the organization (APIs, connectors, BigQuery, MCP, etc.)
Ensure data is structured, accessible, and governed for AI consumption
Own adoption of AI-driven workflows across the organization
Ensure all AI initiatives are tied to clear, quantifiable outcomes
Drive initiatives from POC → production → sustained usage
Define and track success metrics, including: Workflow adoption, Time saved / efficiency gains, Throughput and decision velocity, Business impact (cost, revenue, productivity)
Define and track success metrics across all AI initiatives, including: Decision velocity improvements, Productivity and output lift
Establish baseline metrics prior to deployment and continuously measure post launch impact
Ensure all AI solutions are tied to clear, quantifiable business outcomes
Redesign business processes to embed AI into daily operations
Establish and refine frameworks for intake, prioritization, and scaling of AI initiatives
Track engineering velocity, output, and impact across workstreams
Build and lead a high-performing team of AI engineers and integration specialists
Establish standards for agent design, orchestration, and integration
Ensure high-quality execution across POCs and production systems
Partner with TPMs and engineering leadership to drive structured delivery
Act as the bridge between business, engineering, and platform teams
Present clear, opinionated recommendations to senior leadership
Drive alignment and best practices across the enterprise
Engage with external partners (e.g., Google) to accelerate innovation and influence roadmap direction

Requirements

12+ years of experience across AI, engineering, data, or technical product leadership
Proven track record of deploying AI-driven systems in enterprise environments
Strong understanding of LLM/agent architectures, orchestration patterns (RAG, tool use, multi-agent systems), and API-driven integrations
Experience making architecture decisions across AI platforms, including tradeoffs between RAG, direct API access, and hybrid approaches
Experience translating ambiguous business problems into scalable system architectures and production-grade AI solutions
Demonstrated ability to lead cross-functional teams and drive large-scale initiatives
Strong executive presence with the ability to influence senior stakeholders

Skills

AI Strategy
Business Impact Analysis
AI Platform Evaluation
Agentic Platform Design
Workflow Automation
Enterprise Data Integration
API Integration
Data Governance
AI Adoption
Performance Measurement
Process Redesign
Team Leadership
Cross-Functional Leadership
LLM Architectures
Agent Orchestration
RAG
Tool Use
Multi-Agent Systems

Location

Remote

Work Type

Hybrid

Experience Level

VP Level
12+ years of experience

Salary/Compensations

$240,000.00 - $290,000.00

Benefits

Discretionary bonus
Health insurance coverage
Life and disability insurance
Retirement savings plans
Company paid holidays
Unlimited paid time off (PTO)
Mental health and wellness resources
Pet insurance
Childcare resources
Identity theft insurance
Fertility assistance programs
Fitness reimbursement

About the Company

Horizon Media is proud to be an equal opportunity workplace.

Equal Opportunity

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.