Principal Engineer - Tech Lead Manager, AI Agents for ML Infra
MotionalSalary not specified
Full Time
Expert & Leadership (9+ years)
$300,000 – $375,000Compensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Finance, Healthcare, HospitalityIndustries
Requirements
- 1+ years of engineering management experience
- 5+ years of industry experience in software engineering
- Proficiency with Python, Typescript and asynchronous programming
- A high degree of comfort digging into systems failures within deep technology stacks using any tool necessary
Responsibilities
- Lead a team to design and build AI agents that outperform human agents in managing complex customer interactions and driving customer retention
- Collaborate closely with enterprise customers across a number of verticals, understand their needs and transform these pain points into magical AI agents
- Partner with product, design and research to identify cross-customer trends that guide the evolution of Decagon’s agent building platform and research efforts
- Contribute to team strategy and help define the future of AI customer support agents
Skills
Conversational AI
AI Agents
Software Engineering
System Design
Scalable Systems
Team Leadership
Mentoring
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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