Product Marketing - Maya Enterprise

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.

You will own how Maya Enterprise is positioned and brought to market: which enterprise segments to enter first, which buying problems justify investment, how our product differs from alternatives, and how customers, sales teams and partners understand the offer. You will shape market strategy, pricing and packaging recommendations, customer proof and repeatable sales playbooks. The Founding Product Lead owns development of Maya;

you own market understanding and commercial readiness.
Expected compensation ranges: £40k – £55k per year (Base) + £80k - £145k (Equity) + Bonus on performance and standard benefits

• Markets, buying groups and customer evidence. Identify the highest-priority enterprise verticals, budget owners, operational sponsors and adoption triggers. Interview buyers and study win/loss evidence to learn what makes Maya necessary rather than merely interesting.

• Category positioning and accurate differentiation. Explain Maya's Human Context role alongside agent platforms, workflow orchestration, workforce AI, context/data platforms and governance products. Maintain clear competitive analysis distinguishing direct substitutes, complementary infrastructure and potential partners; do not imply an unconfirmed partnership.

• Product proof and sales enablement. Translate capabilities into vertical use cases, ROI models, battle cards, executive decks, objection responses, pricing explanations and partner material. Use verifiable customer evidence and approved product claims.

• GTM, offers and packaging. Recommend vertical entry strategies, pilot-to-production offers, packaging and pricing approaches with the founder and sales team. Equip distribution partners and commercial teams to run repeatable discovery and launch motions.

• Market learning and adoption. Track buying behaviour, expansion signals, competitor moves and adoption objections. Feed customer problems to the product team without taking ownership of technical development or release delivery.

• First 30 days. You have defined priority buyers, their purchasing problems and gaps in Maya's current positioning. Working with sales, you have established a plan to build qualified pipeline coverage towards 10 times the revenue target.

• By 90 days. Sales and partner teams have differentiated buyer messaging, vertical use cases, competitive guidance and evidence-backed pilot and packaging offers. You maintain an approved product-claims register and documented points of differentiation against relevant competitors.

• By 180 days. You use customer wins, losses and adoption evidence to improve repeatable sector go-to-market plays and sales conversion. You maintain a win-loss register and target a 70–80% win rate in…