AI Specialist

Position Overview

We are seeking a highly collaborative and strategic AI Specialist to spearhead the implementation of a company-wide AI Acceleration program for one of our clients. In this high-impact role within the organization, your primary mandate is to transform how the product portfolios operate.

You will operate at the intersection of strategy, operations, and applied AI — helping clients move from experimentation to measurable business impact.

Instead of allowing AI-assisted product discovery to happen in isolated pockets, it is required to scale and standardize a shared approach that empowers all product teams to build functional, working prototypes using modern AI utilities. This role sits at the intersection of AI/ML innovation, process optimization, rapid prototyping, and cross‑department collaboration — ensuring that AI‑first solutions are discovered, validated, and iterated to deliver clear, quantifiable value aligned with Sequoia's mission to redefine the client experience through data‑driven insights and innovative technology.

• High-Fidelity MVP Development:
  Partner directly with Product Managers across primary portfolios to rapidly develop functional, data‑interactivity prototypes using modern AI environments (e.g., Claude Code, Cursor, v0, Lovable).
• Strategy & Discovery Validation:
  Guide product teams in using active, running prototypes to stress‑test business requirements and validate features before handing product requirements over to engineering.
• Sourcing & Data Integration:
  Collaborate with technical leads to map and verify data accessibility pipelines, ensuring prototyping sandboxes safely read and mirror enterprise benchmarking datasets.
• Collaborate closely with technical, product, and data teams to move solutions from pilot to scaled deployment.

• Help organizations adopt new AI‑enabled ways of working through training, change management, and stakeholder engagement.
• Educate business teams on how to effectively and responsibly leverage AI tools and solutions.
• Develop documentation, playbooks, and best practices to support scalable adoption.
• Partner with legal, risk, and compliance stakeholders to support responsible AI implementation.

• 4–7 years of experience in consulting, business transformation, product, operations, program delivery, or technology‑related roles.
• Bachelor’s degree required.
• Experience supporting digital, data, automation, or AI‑related initiatives in a consulting or enterprise environment.

• Expert-level capability with modern AI‑native development environments, component builders, and code‑generation platforms (Claude Code, Cursor, v0, Lovable).
• AI & Data Foundations:
  Solid understanding of generative AI concepts, including LLMs, AI agents, copilots, automation workflows, and enterprise AI adoption challenges, as well as structural enterprise data concepts (SQL, data cleansing, and mapping variables).
• Product Development Lifecycle:
  Exhaustive familiarity with standard Agile product discovery frameworks, user persona validation, and user experience design principles.
• Cross‑Functional Diplomacy:
  Exceptional interpersonal and relationship management capabilities, with a history of bridging gaps between corporate leadership and engineering teams.
• Outcome-Centric Philosophy: A rigorous product‑first mentality focused on translating technological capabilities into quantifiable, high‑impact business results.
• Innovation Curiosity:
  Persistent fascination with the evolving AI landscape and a proactive drive toward rapid experimentation and continuous skill acquisition.

• Process Transformation exposure:
  Familiarity with Agile delivery frameworks or large‑scale digital modernization initiatives is preferred.
• Systemic Integration Expertise:
  Prior exposure to large‑scale enterprise architectures, including CRM environments, data infrastructure, and complex operational pipelines, is highly valued.

• Technical Translation:
  Exceptional ability to translate non-technical business requirements and high-level product…