AI Strategist

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 with a presence in India 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 with significant presence in India.
• 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 with Indian touchpoints.
• 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.BackgroundStrong experience in consulting-led enterprise strategy and transformation engagements.Sales Motion ExposureFamiliarity 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.CollaborationExperience 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.