Senior Data 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, Technology, Customer ExperienceIndustries

Requirements

5+ years of experience building production-grade data pipelines and distributed data systems
Expert proficiency in Python, SQL, and data orchestration tools (Airflow, Dagster, Prefect, and other similar tooling)
Strong understanding of data modeling, specifically for analytics and complex querying needs
Experience working with unstructured or semi-structured data at scale
Ability to own large technical projects from architectural design to production deployment

Responsibilities

Design and build scalable data pipelines that ingest, process, and structure millions of customer conversations (text and audio) in near real-time
Architect and maintain feature stores that power workflows and products like Watchtower, Ask AI, and the rest of our analytics suite
Develop the data foundation for our analytics platform, enabling deep queries into customer intent, sentiment trends, and agent performance
Collaborate with Product and Engineering teams to translate complex product requirements into efficient, long-term data architecture solutions

Skills

Key technologies and capabilities for this role

Data PipelinesFeature StoresData EngineeringETLScalable SystemsLow LatencyML EngineeringBackend DevelopmentSQLPythonBig DataSparkKafkaAirflow

Questions & Answers

Common questions about this position

What is the salary range for the Senior Data Engineer 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 and skills are required for this role?

Candidates need 5+ years of experience building scalable data pipelines, architecting feature stores, and handling data at massive scale for real-time AI applications.

What are Decagon's company values and work environment like?

Decagon emphasizes values like customers are everything, relentless momentum, winner’s mindset, and stronger together, with an in-office environment driven by commitment to excellence and velocity.

What makes a strong candidate for this Senior Data Engineer position?

Ideal candidates have 5+ years of experience and enjoy building foundational data architecture beyond simple ETL, including scalable pipelines, feature stores, and real-time data processing for 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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