Senior Software Engineer, Insights at Decagon

San Francisco, California, United States

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$250,000 – $375,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Conversational AI, Customer Experience, TechnologyIndustries

Requirements

5+ years of engineering experience building customer-facing products
Proficiency with Typescript, Python, and asynchronous programming
Strong product sense and ability to solve vague analytical problems
Experience creating clear, effective visualizations or UI for complex information
Ability to collaborate with PM and Design to drive product direction

Responsibilities

Build user-facing features that help teams understand customer intents, sentiment, and voice of the customer signals
Design intuitive visualizations and workflows that help APMs and CX teams write better AOPs and identify improvement opportunities
Create tools that highlight gaps in agent behavior, explain performance issues, and surface actionable recommendations
Build product experiences that make it simple to explore conversations and understand why agents behave the way they do
Work across the stack to deliver fast, reliable, and polished insights products that customers rely on daily

Skills

Key technologies and capabilities for this role

Software EngineeringBackendFrontendData VisualizationConversational AIUser InterfacesIntents AnalysisSentiment Analysis

Questions & Answers

Common questions about this position

What is the salary range for the Senior Software Engineer, Insights role?

The salary range is $250K - $375K.

Is this a remote position or does it require in-office work?

Decagon is an in-office company.

What experience is required for this Senior Software Engineer role?

Candidates need 5+ years of engineering experience building customer-facing products.

What are Decagon's company values?

The company values are customers are everything, relentless momentum, winner’s mindset, and stronger together.

What makes a strong candidate for the Insights team role?

Ideal candidates have 5+ years of experience building polished customer-facing product experiences with strong analytical logic, enjoy solving ambiguous problems, and can work across backend and frontend.

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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