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AI Strategist at Ema. Remote Location: United Kingdom (Remote). Who we are. Ema is building the world’s largest agentic . AI. platform to revolutionize enterprise productivity. Our proprietary technology enables companies to delegate repetitive tasks to Ema, the Universal . AI. employee, unlocking 10x gains in workforce efficiency. Founded by ex-Google, Coinbase, Flipkart, and Okta executives, we bring deep product and scaling expertise to this mission. Our team includes top engineers from Google, Microsoft Research, Facebook, Square, and Coinbase, and alumni of Stanford, MIT, UC Berkeley, CMU, and IITs.. We’ve raised over $60M from top-tier investors including Accel, Naspers/Prosus, Section32, SCB10X, Sozo Ventures, Hitachi Ventures, and prominent angels like Sheryl Sandberg, Jerry Yang, and Dustin Moskovitz. Ema is headquartered in Silicon Valley with a second hub in Bangalore, India. This is a hybrid role requiring in-office work three days per week.. Role Overview. We are seeking a seasoned . AI. Strategist to . lead. strategic enterprise accounts and play a pivotal role in shaping high-impact . AI. engagements. This role will work closely with our Executive Leadership Team, providing leverage on our most important deals and helping drive transformative . AI. adoption across major enterprises. The ideal candidate has previously served as a Senior Engagement Manager (or equivalent) at a top-tier consulting firm such as McKinsey, BCG, Bain, or comparable management consulting firms, and is familiar with complex enterprise sales motions. You must be comfortable engaging at C-level, shaping . AI. strategy for customers, and partnering cross-functionally to orchestrate successful outcomes.. Key Responsibilities. Strategic Account Leadership. Own and drive . AI. strategy for high-value enterprise accounts . Partner with executive sponsors, customer success, solution engineering, and product to deliver winning . AI. solutions.. Act as the strategic advisor to client leadership, helping define . AI. transformation roadmaps and business cases.. Deal Strategy & Executive Leverage. Work closely with the . CEO, CRO, and broader leadership team. to influence deal strategy and positioning on the most strategic opportunities globally . Bring consulting-grade thinking to structure engagements, solution narratives, and commercial approaches.. Shape proposals, POVs, and strategic narratives to accelerate deal cycles.. Client Advisory & Relationship Management. Serve as a trusted advisor to senior stakeholders (CIO, CDO, CDO, CXO) on . AI. -driven business transformation.. Navigate complex organizational structures and drive stakeholder alignment at executive and working levels.. Lead. strategic workshops, discovery sessions, and executive briefings.. Cross-Functional Collaboration. Collaborate with product, engineering, GTM, and delivery teams to align . AI. solutions with customer objectives.. Provide market insights and customer feedback to inform product roadmap and GTM strategy.. Mentor internal teams on consultative selling, strategic storytelling, and engagement design.. What You Bring. Requirement. Experience: . 7–12 years+ overall, including time as a Senior Engagement Manager / Project Leader at McKinsey, BCG, Bain, or similar.. Background: . Strong experience in consulting-led enterprise strategy and transformation engagements.. Sales Motion Exposure: . Familiarity with enterprise . SaaS. or . AI. /technology sales cycles is essential.. AI. & Digital Fluency: . Deep understanding of . AI. /ML applications in enterprise workflows (LLMs a plus).. Stakeholder Management: . Proven track record advising C-suite clients and managing executive relationships.. Strategic Thinking: . Ability to design business cases, assess ROI, and translate strategy into actionable execution.. Communication: . Exceptional storytelling, structured problem-solving, and presentation skills.. Collaboration: . Experience working with cross-functional leadership teams in high-velocity environments.. Nice to Have. Prior exposure to . AI. , Generative . AI. platforms, or data transformation initiatives.. Experience working with high-growth startups or global . SaaS. companies.. MBA from a top-tier institution.