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Active1mo ago

Product Manager

Ema (Enterprise Machine Assistant)·📍 San Francisco Bay Area, California, United States

Employment

FULL TIME

Work mode

On-site

Experience

MID LEVEL

Salary

$120,664–$164,695 / year · Jobiba est.

Market pay estimate

$120,664–$164,695 / year for comparable Product Manager roles in United States. Not employer-provided.

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Role overview

Job description

About Ema 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. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Opportunity Summary: Ema is building the next generation AI technology to empower every employee in

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Role market pulse

How Product Manager demand looks in United States

45/100 · steady

Live jobs

157

Posted 30d

48

30d movement

-56%

Remote share

21.7%

Salary listed

45.9%

Salary trend 1Y

Not enough history

What they are looking for

Skills & requirements

Qualification

Bachelor’s degree in Business, Marketing, Computer Science, or a related field. An MBA or equivalent experience is a plus. 3-5 years of experience in product management, preferably in the tech or software industry. Strong understanding of product development processes, including agile methodologies. Ability to work with cross-functional teams and influence without direct authority. Excellent communication, leadership, and problem-solving skills. Analytical mindset with the ability to interpret data and make informed decisions. Strong organizational and project management skills. Preferred

Department · Product Management & Design

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Hiring company

Ema (Enterprise Machine Assistant)

Technology

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