[Hiring] Product Manager @Ema

Role Description

Shape Ema's product direction. You'll research customers, prioritize features, work with engineering and design, and drive adoption of innovative AI capabilities.

What You'll Own

• Define product strategy and roadmap
• Conduct customer research and discovery
• Write PRDs (Product Requirement Documents)
• Collaborate with engineering and design to ship features
• Analyze metrics and drive data-informed decisions
• Go-to-market strategy and launch planning

Qualifications

• 6-10 years PM experience in SaaS or enterprise software
• Strong cross-functional leadership and communication
• Experience shipping multiple features end-to-end
• Data-driven decision making and analytics
• Customer research and user empathy
• BTech in CS/related field from top Institutes

Requirements

• PM at high-growth SaaS companies (50-500 employees)
• Experience with platform or API products
• AI/ML product experience
• Enterprise sales support and GTM experience
• Analytics and A/B testing expertise

Benefits

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.

Company Description

Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs.

• Backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz.
• Headquartered in Silicon Valley with offices in London, Bangalore, and Vancouver.
• At the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale.