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Partner Success Architect

United Kingdom, London · Job Posted February 21, 2026
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Job Description

As a Partner Success Architect, you will serve as a critical bridge between Ema’s platform capabilities and our partners' business and technical goals. You will own the technical co-creation process with partners, enabling them to build, position, and deliver innovative AI employee solutions powered by Ema. This role is deeply cross-functional, requiring collaboration with Sales, Product, Engineering, and Customer Success to amplify Ema’s presence through strategic alliances.

Job Responsibility

  • Lead technical co-creation by running discovery sessions and prototype AI employee workflows with partners using Ema’s GWE
  • Build pre-sales assets by creating solution templates, demos, and reference architectures to support sales and showcase capabilities
  • Drive Partner Enablement to own technical onboarding, design enablement materials, and support partners in scaling their solutions
  • Act as Trusted Advisor by providing ongoing technical guidance, troubleshooting, and feedback loops between partners and internal teams
  • Support GTM and Field Sales by delivering demos, proofs-of-value, and contribute to GTM assets and playbooks with field and partner teams
  • Track and Optimize Impact by measuring partner success with KPIs, gather market feedback, and represent Ema at events and co-marketing efforts

Requirements

  • 5+ years of experience in solution architecture, partner engineering, or pre-sales in enterprise software or SaaS
  • Demonstrated expertise in designing or implementing complex technical solutions in a B2B environment, preferably in AI, ML, automation, or cloud platforms
  • Excellent communication and presentation skills, with the ability to simplify complex technical concepts for diverse audiences

Nice to have

  • Experience with Generative AI, LLMs, or agentic platforms in production settings
  • Familiarity with enterprise systems like Salesforce, ServiceNow, Workday, or similar
  • Prior experience in a startup or high-growth SaaS environment is preferable
  • Comfort working in fast-paced, ambiguous environments and scaling new programs from 0 to 1

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