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. 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.

Role Overview: Ema is on the lookout for a highly skilled and experienced Staff Machine Learning Engineer to spearhead the development of next-generation AI technologies. This role is pivotal in driving the evolution of EmaFusion and other proprietary models to empower enterprises globally by enhancing productivity through AI-driven automation. As a Staff Machine Learning Engineer, you will lead complex projects that blend deep learning with practical applications, ensuring that Emas AI systems are at the forefront of innovation. Roles and Responsibilities: Lead the design, development, and deployment of state-of-the-art machine learning models, with a strong emphasis on scalability and reliability across various enterprise use cases. Collaborate with cross-functional teams including data scientists, software engineers, and product managers to translate business requirements into actionable ML solutions. Drive the innovation and enhancement of EmaFusion and Generative Workflow Engine (GWE) by integrating cutting-edge research into real-world applications. Mentor and guide junior engineers and data scientists, fostering a culture of knowledge sharing and continuous learning within the team. Ensure the robustness and security of machine learning models by implementing best practices in data protection and compliance with international standards. Contribute to strategic planning by identifying new opportunities for machine learning applications within the enterprise ecosystem, and aligning them with the companys long-term vision. Communicate complex technical concepts and project updates to both technical and non-technical stakeholders through presentations, reports, and documentation. Qualifications: PhD in Computer Science, Machine Learning, or a related field ; or a Master s degree with 8+ years of relevant experience. 10+ years of hands-on experience in designing and deploying machine learning models in production environments, with a proven track record of delivering scalable solutions. Proficiency in programming languages such as Python, Java, or C++, and extensive experience with deep learning frameworks like TensorFlow, PyTorch, or similar. Expertise in neural networks, reinforcement learning, and generative models with a solid understanding of their practical applications in large-scale systems. Experience working with large datasets and distributed computing systems, with a focus on optimization and performance tuning. Strong problem-solving skills , with the ability to navigate complex challenges and devise innovative solutions that drive the companys AI capabilities forward. Excellent communication skills , with the ability to convey technical information clearly and effectively to diverse audiences. A strong publication record in top-tier conferences or journals, and experience in patenting innovative solutions is highly desirable. Why Join Ema: At Ema, we are building the future of work by leveraging AI to empower enterprises worldwide. You will be part of a dynamic and diverse team that values creativity, innovation, and a deep commitment to excellence. Join us in shaping the future of AI technology, where your work will directly impact the productivity and success of global enterprises. We offer competitive compensation, a collaborative work environment, and the opportunity to work alongside some of the brightest minds in the industry.