Partner Manager - UK

Ema is building the next generation AI technology to empower every employee in the enterprise to be their most creative and productive. Our proprietary tech allows enterprises to delegate most repetitive tasks to Ema, the AI employee. We are founded by ex-Google, Coinbase, Okta executives and serial entrepreneurs. Our team is a powerhouse of talent, comprising engineers from leading tech companies like Google, Microsoft Research, Facebook, Square/Block, and Coinbase.

Ema is hiring a Partner Manager to lead strategic GTM partnerships with SIs, VARs, Consulting firms, Cloud platforms, and AI ecosystem players. You will be instrumental in building and scaling a partner-led growth channel. We’re looking for a seasoned professional with experience in developing strategic partnerships, enabling partners’ sales and technical teams, and activating GTM motion with large Tier-1 partners targeting Fortune 500 enterprises.

You will collaborate closely with the Sales, Marketing, Product, and Customer Success team to drive Partner success, and act as the voice of the partner internally to advocate for partner needs and product feedback. This role is ideal for you if you’re entrepreneurial, data-driven, and relationship-first. You understand that great partnerships don’t just drive revenue — they unlock new capabilities and customer value.

You Will:

• Identify, onboard, and grow key go-to-market (GTM) partners, including consultancies, resellers, cloud marketplaces, ISVs, and system integrators.
• Collaborate with partners to build joint value propositions and GTM plans tailored to priority industries and enterprise use cases.
• Lead partner enablement efforts, including training, certifications, and sales collateral.
• Serve as the partner’s advocate internally, sharing feedback to improve product and collaboration.
• Structure and negotiate partnership agreements, incentives, and success metrics.
• Drive pipeline through partner channels and work closely with sales teams on co-selling opportunities.
• Track joint deals, monitor partner-influenced pipeline, and measure revenue impact.
• Build and scale partner programs, including onboarding flows, partner portals, and reporting tools.
• Define partner success metrics and lead quarterly business reviews (QBRs).
• Collaborate cross-functionally with Sales, Marketing, Product, and Customer Success to support partner growth.
• Stay up to date on trends in enterprise AI and evolving GTM models.
• Represent the company at industry events, partner conferences, and ecosystem forums.

Minimum Qualifications:

• 5+ years experience in Partner management role at a SaaS, enterprise software, or AI company.
• Proven track record of sourcing, enabling, and scaling GTM partnerships that directly influenced sales outcomes.
• Knowledge of partner program design, including incentives, MDF, and co-sell playbooks.
• Deep understanding of enterprise sales motions, especially in AI and automation.
• Excellent negotiation, relationship management, and stakeholder communication skills.
• Strategic thinker with an ability to move fast and execute in a startup environment.

Ideally, You'd Have:

• Familiarity with agentic AI, RPA, enterprise workflow automation, or LLM-based platforms.
• Experience working with cloud hyperscalers (AWS, Azure, GCP) or consulting/SI ecosystems.
• Prior exposure to RevOps tools like Hubspot, Salesforce or PRM systems.
• Good understanding of software development principles, data structures, and algorithms.
• Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking.
• The ability to work collaboratively in an extremely fast-paced, startup environment.

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.