Engineering Manager, Agent Software Engineering at Decagon

London, England, United Kingdom

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£220,000 – £280,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AI, Customer ExperienceIndustries

Requirements

2+ years of engineering management experience
7+ 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

Key technologies and capabilities for this role

Engineering ManagementConversational AIAI AgentsSoftware EngineeringTeam LeadershipScalable SystemsCustomer CollaborationPythonMachine Learning

Questions & Answers

Common questions about this position

What is the salary range for this Engineering Manager position?

The salary range is £220K - £280K.

Is this role remote or onsite, and where is the office?

This is an onsite role in Decagon's new London office, and the company is in-office driven by a commitment to excellence and velocity.

What skills and experience are required for this role?

Candidates need 2+ years of engineering management experience, 7+ years of industry experience in software engineering, and proficiency with Python.

What is the company culture like at Decagon?

Decagon is an in-office company with values including customers are everything, relentless momentum, winner’s mindset, and stronger together.

What makes a strong candidate for this Engineering Manager role?

A strong candidate has engineering management experience, is excited to mentor junior engineers, dives deep into complex system challenges, and builds scalable solutions while collaborating with customers.

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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