AI Strategist

Fdetimes; San Francisco (CA); On-site; USD 190,000 - 235,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

Ema Unlimited is seeking a seasoned AI Strategist to lead strategic enterprise accounts and shape high-impact AI engagements. You will work with our Executive Leadership Team to drive transformative AI adoption across major enterprises, engaging at the C-level and guiding cross-functional execution.

Ideal candidates bring 7–12+ years in management consulting or equivalent, with a deep understanding of enterprise AI, SaaS sales motions, and the ability to translate strategy into actionable plans.

Qualifications

• Experience as Senior Engagement Manager / Project Leader at top-tier firms (e.g., McKinsey, BCG, Bain) or equivalent.
• 7–12+ years in enterprise strategy and transformation engagements.
• Familiarity with enterprise SaaS or AI/technology sales cycles.
• Deep AI/digital fluency in enterprise workflows (LLMs a plus).
• Proven ability to advise C-suite clients and manage executive relationships.
• Strong communication, storytelling, and presentation skills.

Responsibilities

• Own and drive AI strategy for high-value enterprise accounts.
• Partner with executive sponsors and cross-functional teams to deliver AI solutions.
• Define AI transformation roadmaps and business cases for clients.
• Influence deal strategy and positioning with senior leadership; shape proposals and narratives.
• Lead strategic workshops, discovery sessions, and executive briefings.
• Mentor internal teams on consultative selling and engagement design.

Skills

Strategic account leadership

C-suite engagement

Enterprise strategy

Storytelling & presentation

Cross-functional collaboration

Consulting background

Education

MBA

Job description

About Ema

Ema builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboarding and benefits to IT support, invoice processing and payroll, so people can spend their time on work that needs them. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs.

We are backed by industry leading investors including Accel, Naspers/Prosus, Creaegis, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production. We ship real systems that run real business processes at scale.

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.

Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.

Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.