AI Solutions Architect, Deployment at Decagon

San Francisco, California, United States

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$200,000 – $280,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, TechnologyIndustries

Requirements

Have 4+ years experience in project launch coordination, especially within a customer support environment (internal and/or external)
Write production-grade code in Python, SQL, or similar languages
Enjoy developing internal tools, workflow engines, and lightweight platforms
Understand and operationalize GTM workflows through thoughtful systems design
Are comfortable navigating ambiguity and collaborating cross-functionally
Prioritize exceptional user experiences for internal systems just as highly as customer-facing products

Responsibilities

Coordinate product launches across internal User Operations teams and external partners to guarantee seamless execution and support readiness
Architect launch-readiness systems that streamline formerly manual processes, replacing ad-hoc docs and meetings with automated workflows, dashboards, and alerting to build for scale
Develop and implement scalable feedback loops between support, product, and engineering so customer insights are continuously integrated into product strategy
Prototype quickly—leveraging ChatGPT, Jupyter notebooks, Retool, and other tools—to prove value before hardening with Engineering
Collaborate cross-functionally with Product, Engineering, Marketing, Legal, and Operations to align on launch goals, timelines, and readiness metrics
Identify risks and challenges during rollouts, proposing solutions that safeguard customer experience and service levels
Continuously automate, replacing every repetitive touchpoint with scripts, agents, or LLM-powered flows

Skills

Key technologies and capabilities for this role

Systems ArchitecturePrototypingInternal ToolingData InfrastructureAutomated WorkflowsAPI IntegrationDashboardsAlertingScalable Software

Questions & Answers

Common questions about this position

What is the salary range for the AI Solutions Architect role?

The salary range is $200K - $280K.

Is this role remote or in-office, and where is it located?

This is an in-office role based in San Francisco, California.

What skills and experience are required for this position?

Candidates need 4+ years in project launch coordination, especially in customer support, and must write production-grade code in Python, SQL, or similar languages. Experience developing internal tools, workflow engines, and understanding GTM workflows is also key.

What is Decagon's company culture like?

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

What makes a strong candidate for this AI Solutions Architect role?

A strong candidate has 4+ years in project launch coordination in customer support, writes production-grade Python or SQL code, enjoys building internal tools and workflows, and can prototype quickly while collaborating cross-functionally.

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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