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Join to apply for the Partner Success Architect role at Ema Unlimited
About Ema
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.
About Ema
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 $60M 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 a second hub in Bangalore, India. This is a hybrid role requiring in-office work three days per week.
Role Overview
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.
Key Responsibilities
* 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.
Qualifications
* 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.
Preferred Qualifications
* 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.
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.
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Job function
Design, Art/Creative, and Information Technology
* Industries
Software Development
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