Tech.

We are looking for a Head of AI to lead the rollout of Generative AI initiatives across a global organization. This role is focused on turning AI opportunities into practical, production-ready solutions that deliver measurable business value. Main Responsibilities: Lead a cross-functional Gen AI team, setting priorities, removing blockers, and ensuring delivery. Own and manage the Gen AI adoption roadmap from idea generation to production rollout. Assess and prioritize AI use cases based on business value, feasibility, and implementation effort. Make informed technical decisions around LLMs, RAG, AI agents, enterprise AI platforms, build-vs-buy options, and production readiness. Coordinate stakeholders, dependencies, risks, and delivery timelines across multiple teams. Report progress, outcomes, and ROI to senior stakeholders. Lead change management and adoption strategies to ensure AI solutions are successfully embedded across the business. Desired experience: Strong practical understanding of AI/ML and Generative AI technologies. Technology delivery experience, including AI/ML or complex technical projects delivered into production. Experience leading technology adoption and change management in complex organizations. Familiarity with LLMs, prompt engineering, RAG, AI agents, and enterprise AI platforms. Strong stakeholder management, communication, prioritization, and decision-making skills. Delivery-first mindset with a focus on shipping working solutions.  

Our client is seeking a Vice President, Product Innovation to lead end-to-end product strategy, innovation pipeline, and portfolio performance. This executive leader will be responsible for envisioning, designing, and delivering high-value products, programs, and solutions that enhance customer value, drive revenue growth, and expand market impact. The role partners closely with marketing, finance, operations, and professional services to deliver future-forward offerings grounded in market intelligence, customer insight, and enterprise strategy. Key Responsibilities • Define and lead the long-term product innovation strategy aligned with enterprise objectives. • Translate vision into actionable product roadmaps with clear milestones, success metrics, and financial outcomes. • Drive cross-functional ideation, pilot programs, and commercialization of new products and enhancements. • Own and manage a diverse portfolio of programs, digital products, and emerging offerings. • Establish lifecycle management frameworks including performance evaluation, optimization, and sunsetting decisions. • Develop data-driven forecasting, pricing models, and go-to-market strategies. • Identify market trends, customer needs, and emerging technologies to fuel innovation. • Cultivate external partnerships, alliances, and potential acquisition opportunities. • Lead, mentor, and develop a high-performing product innovation team. • Collaborate cross-functionally to ensure cohesive execution and operational excellence. • Oversee departmental budgets, forecasts, ROI analysis, and scalable operating processes. Candidate Profile • 10+ years of experience in product management, product development, or innovation leadership. • Proven success launching new products and managing complex product portfolios. • Experience within entertainment, digital platforms, or consumer-facing products preferred. • Strong strategic, analytical, financial, and communication skills. • Demonstrated ability to lead and influence cross-functional teams. Education • Bachelor’s degree in Business, Computer Science, Marketing, Engineering, or a related field required. • Master’s degree or MBA preferred. Preferred Certifications • Certified Product Manager (CPM – AIPMM) • Certified Scrum Product Owner (CSPO) or Professional Scrum Product Owner (PSPO) • Professional Certified Marketer (PCM – AMA)  

We’re looking for a Senior AI Engineer to lead the design and deployment of production-grade AI systems, with a focus on self-hosted models. You’ll play a key role in shaping how AI is used across Enteractive - from LLM-powered tooling for agents, to automation, personalization, and internal intelligence systems, while ensuring data privacy, performance, and reliability. This is a hands-on, high-impact role for someone who can bridge research and real-world systems at scale. Key Responsibilities Design, build, and maintain AI/LLM infrastructure (self-hosted models, GPUs, inference pipelines) Develop and deploy LLM-based solutions (RAG systems,internal tools for agents and CRM teams) Optimize models for latency & throughput in controlled environments Build scalable data pipelines for training, fine-tuning, and evaluation Implement model serving and orchestration (e.g., APIs, batching, streaming inference) Ensure security, compliance, and data privacy across all AI systems Collaborate with product and operations teams to embed AI into player engagement workflows Required Skills / Experience 2+ years of experience in AI / ML engineering Solid understanding of LLMs, embeddings, and prompt engineering Experience deploying models in on-prem or hybrid environments Strong Python skills and experience building production APIs/services Experience with model optimization techniques (quantization, batching, GPU utilization) Familiarity with MLOps practices (CI/CD, monitoring, versioning) Strong problem-solving skills and ability to operate autonomously