Solutions Architect at Decagon

San Francisco, California, United States

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$250,000 – $300,000Compensation

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

Full TimeJob Type

UnknownVisa

Artificial Intelligence, SaaS, Customer ExperienceIndustries

Requirements

8–10+ years of experience in customer-facing technical roles such as Solutions Architect, Sales Engineer, or Pre-Sales Consultant
Ability to quickly understand complex enterprise technology stacks and connect them to Decagon’s platform capabilities
Demonstrated success engaging with large organizations and aligning solutions with strategic business outcomes
Strong technical proficiency in developing tailored demos, proofs-of-concept, and solution architectures
Even Better If You Have
2+ years of direct AI/Generative AI sales engineering experience
Experience working in a high-growth startup environment
Hands-on experience integrating telephony infrastructure into enterprise systems
An engineering background (software engineering, systems engineering, or related) that enables you to dive deeper into technical conversations

Responsibilities

Partner with Account Executives to discover, qualify, and design solutions that deliver measurable ROI for enterprise customers
Rapidly assess a customer’s technology stack and requirements, translating them into an integration strategy for Decagon’s platform
Develop custom demonstrations on the Decagon platform tailored to customer-specific needs and value drivers
Establish scalable pre-sales processes, technical playbooks, and reusable assets to support growth

Skills

Key technologies and capabilities for this role

Solutions ArchitecturePre-Sales EngineeringEnterprise ArchitectureAI PlatformsTechnology Stack AssessmentAPI IntegrationCustomer ROI AnalysisTechnical DiscoveryProduct Strategy

Questions & Answers

Common questions about this position

What is the salary range for the Solutions Architect position?

The salary range is $250K - $300K.

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 8–10+ years in customer-facing technical roles like Solutions Architect or Sales Engineer, ability to understand complex enterprise tech stacks, success engaging large organizations, and strong proficiency in demos, POCs, and solution architectures.

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

Decagon's values are customers are everything, relentless momentum, winner’s mindset, and stronger together. They are an in-office company driven by a shared commitment to excellence and velocity.

What makes a strong candidate for the Solutions Architect role?

A strong candidate has 8–10+ years in customer-facing technical roles, experience with complex enterprise stacks, and success aligning solutions with business outcomes. Even better are 2+ years in AI/Generative AI sales engineering, high-growth startup experience, and an engineering background.

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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