Engagement Lead - Maya Enterprise

The company

WORK-SELF builds Maya Enterprise, the Human Context infrastructure for enterprise AI. AI agents increasingly perform work inside large organisations, but they need context about the people and decisions around that work: who owns it, which decisions an agent can make, when a person reviews the result and how exceptions are escalated. Maya provides this governed context through an MCP-native server so employees and agents can complete work through accountable workflows.

We are a London-based enterprise AI company. In our first year we won enterprise contracts across banking, utilities, property services and European public finance, reached EBITDA-positive operations with a small team, and deployed Maya with enterprise customers. We work with technology and delivery partners and hold a granted US AI patent assigned to the company. Our next stage is scaling product delivery, enterprise adoption and partner-led growth. The people joining now will help build that next stage.

The role

You will lead Maya Enterprise client engagements from initial scoping to measurable operational results. You will align business sponsors, workflow owners, IT and implementation teams, keep pilots on track and ensure delivered work can be evaluated against an agreed baseline. The role combines consulting-grade client management with practical execution. You own the engagement outcome, not the core product roadmap or sales quota.
Expected compensation ranges: £60k – £75k per year (Base) + £90k - £140k (Equity) + Bonus on performance and standard benefits

What you will own

• Engagement design. Translate executive goals into a bounded workflow scope, success criteria, decision map, delivery plan, responsibilities and governance. Challenge requests that cannot be measured or delivered safely.

• Stakeholder alignment. Lead meetings with CFO, COO, AI/transformation, operational and technology teams. Manage decision forums, escalate blocked actions early and keep ownership visible.

• Pilot and rollout delivery. Coordinate product, implementation and customer resources; run plans, milestones, risks, issue logs, training and business acceptance through to go-live.

• Outcome measurement. Establish baselines for rework, completion, approval delays and cost per delivered unit where relevant. Package agreed findings into client readouts and a credible expansion case.

• Account continuity. Support post-launch reviews, handovers and further workflow opportunities; capture customer learning for product and commercial colleagues.

You will know you are succeeding when

• First 30 days. You understand the engagement approach and can produce a clear customer charter, stakeholder map, delivery plan and outcome baseline for a defined workflow.

• By 90 days. You lead active pilots and deployments with clear governance, ownership and agreed success measures. You coordinate 10 client implementations per quarter, targeting approximately 30 days for each appropriately scoped deployment and delivery within agreed budgets.

• By 180 days. Engagements have documented acceptance evidence, executive readouts and a path to broader adoption. You maintain at least 95% customer satisfaction, track Net Promoter Score separately, secure references and follow-on opportunities, and work towards an 85% or higher renewal rate for eligible accounts.

Who does well here

• Experience leading complex technology delivery, transformation or consulting engagements in large enterprises.

• Ability to operate credibly with senior business sponsors, IT, risk and frontline workflow owners.

• Strong project controls, requirements, issue resolution and executive reporting.

• Confidence measuring business process outcomes rather than equating deployment with value.

• Comfort working with product and engineers on integrations, data, permissions and acceptance without needing to code every component.

Success is an adopted, measured enterprise workflow, not a completed workshop or technical installation alone.

What you get

• Visible ownership of enterprise transformation outcomes from start to finish.

• Direct collaboration with clients, the founder and the product and engineering team.

• The opportunity to help build and scale an early-stage enterprise AI company.

If this resonates with you, we would love to hear from you. Any questions, please email us at careers@work-self.com