Engineering Manager at Decagon

San Francisco, California, United States

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$240,000 – $300,000Compensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI & Machine Learning, Enterprise SoftwareIndustries

Skills

Key technologies and capabilities for this role

Product DevelopmentSystem DevelopmentTeam ManagementTechnical LeadershipProblem SolvingAI ProductsLLMsAI AgentsProduction Deployment

Questions & Answers

Common questions about this position

What is the salary range for the Engineering Manager position?

The salary range is $240K - $300K.

Is this Engineering Manager role remote or does it require office work?

This information is not specified in the job description.

What are the key requirements for the Engineering Manager role?

Candidates need 5+ years of experience developing and deploying production-level products, 2+ years directly managing high-performing teams, and an understanding of balancing hands-on technical work with leading teams.

What benefits does Decagon offer for the Engineering Manager position?

Benefits include medical, dental, and vision coverage, a take-what-you-need vacation policy, and daily lunches, dinners, and snacks in the office.

What makes a strong candidate for the Engineering Manager role at Decagon?

Strong candidates have 5+ years in production-level development, 2+ years managing teams, passion for AI products and enterprise customer experiences, plus experience scaling teams, being a startup founder, or building AI products.

Decagon

Generative AI solutions for customer support

About Decagon

Decagon.ai provides generative AI solutions designed to improve customer support and operational efficiency for various clients, from large enterprises to growing startups. Their tools automate complex data processes, helping businesses identify themes, detect anomalies, and extract valuable insights from customer interactions. The AI-powered assistance offered by Decagon.ai takes care of routine tasks and learns from human agents, which boosts productivity and enhances customer satisfaction. Unlike many competitors, Decagon.ai focuses on deeply integrating its scalable solutions with clients' internal systems, ensuring smooth automation and support. The company operates on a subscription-based model, allowing clients to access their AI tools and support services. Notable clients include Bilt, Fourthwall, and Vanta, who utilize Decagon.ai's technology for automating ticketing, supporting creators, and improving pre-sales processes.

San Francisco, CaliforniaHeadquarters

2023Year Founded

$97.3MTotal Funding

SERIES_BCompany Stage

Data & Analytics, Enterprise Software, AI & Machine LearningIndustries

51-200Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Unlimited Paid Time Off

Meal Benefits

Risks

Increased competition from AI giants like OpenAI and Google threatens Decagon's market share.

Over-reliance on key clients like Bilt and Vanta poses a potential business risk.

Rapid technological advancements could render Decagon's solutions obsolete without continuous innovation.

Differentiation

Decagon.ai offers AI solutions that enhance customer support and operational efficiency.

Their AI-powered agent assistance handles mundane tasks, improving productivity and satisfaction.

Decagon.ai's tools automate complex data processes, unlocking valuable insights from interactions.

Upsides

Increased demand for AI-driven customer support solutions enhances Decagon's market potential.

Growing interest in AI automation tools boosts Decagon's client acquisition opportunities.

Shift towards subscription-based AI services aligns with Decagon's scalable business model.

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