Product Manager

San Francisco, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

AI & Machine Learning, Enterprise SoftwareIndustries

Requirements

Candidates should have a Bachelor's degree in Business, Marketing, Computer Science, or a related field, with an MBA or equivalent experience being a plus. They must possess 3-5 years of experience in product management, preferably in the tech or software industry, along with a strong understanding of product development processes, including agile methodologies. The ability to work with cross-functional teams and influence without direct authority is essential, as well as excellent communication, leadership, and problem-solving skills.

Responsibilities

The Product Manager will define and communicate the product strategy and roadmap based on market trends, customer needs, and company goals. They will conduct market research and competitor analysis to identify opportunities and translate customer needs into product requirements. The role involves collaborating with engineering, design, and marketing teams to deliver functional and user-friendly products, managing the product development lifecycle, and prioritizing features based on feedback. Additionally, they will work closely with cross-functional teams for successful product launches, track product performance post-launch, and iterate on product features based on data insights. The Product Manager will also present updates and manage relationships with external vendors as needed.

Skills

Product Management

Agile Methodologies

Market Research

Competitor Analysis

Communication

Leadership

Problem-Solving

Cross-functional Collaboration

Ema

Develops enterprise AI solutions for workforce efficiency

About Ema

Ema develops and implements AI solutions specifically designed for businesses. Their main product is AI employees that can be customized through conversation to learn and perform tasks that exceed human capabilities, allowing companies to quickly expand their workforce. Ema's AI solutions focus on replacing traditional co-pilots with secure and compliant AI employees, meeting strict standards like SOC2, ISO27001, GDPR, HIPAA, and NIST. The EmaFusionTM model combines the strengths of over 100 large language models to deliver high accuracy at a low cost for various enterprise applications. Ema distinguishes itself from competitors by providing tailored solutions that empower businesses to enhance their operational efficiency. The company's goal is to help enterprises take control of their operations and achieve significant improvements in productivity through advanced AI technology.

Mountain View, CaliforniaHeadquarters

2023Year Founded

$59.3MTotal Funding

SERIES_ACompany Stage

Cybersecurity, AI & Machine LearningIndustries

51-200Employees

Benefits

Hybrid Work Options

Risks

Emerging competition from startups like SilkFlo and Kognitos threatens Ema's market share.

Rapid customer base expansion may strain Ema's operational capabilities and service quality.

Reliance on multiple investors may lead to conflicting interests and strategic directions.

Differentiation

EmaFusionTM integrates over 100 LLMs for high accuracy and cost-effectiveness.

Ema offers secure AI employees adhering to SOC2, ISO27001, GDPR, HIPAA, and NIST standards.

Ema's no-code AI agents enable enterprises to deploy AI without extensive technical expertise.

Upsides

Ema's customer base has more than doubled since its launch in March 2024.

Ema secured $50M in Series A funding, enhancing its market position and capabilities.

Growing demand for AI-driven automation aligns with Ema's focus on AI employees.

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