Europe Arbeitnow ·
full-timeAI Strategist - UK
Ema · United Kingdom (Remote)
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. 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 $90M 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 hubs in London, Vancouver and Bangalore. 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 el
| Role | AI Strategist - UK |
|---|---|
| Company | Ema |
| Location | United Kingdom (Remote) |
| Compensation | Not disclosed |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
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