Solutions Engineering Manager at Decagon

New York, New York, United States

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$250,000 – $285,000Compensation

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

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Technology, Customer ExperienceIndustries

Requirements

7+ years of experience in pre-sales technical roles such as Solutions Architect, Sales Engineer, or equivalent
3+ years of experience managing or leading pre-sales/solutions engineering teams
Proven success working with large enterprise customers and navigating complex buying cycles
Strong technical proficiency with enterprise AI deployments, API integrations, and production system architectures
Excellent communication skills, with the ability to engage executives, business stakeholders, and technical teams with equal credibility
A collaborative, organizational mindset with a track record of building scalable teams and processes
Ability to thrive in fast-moving, high-growth environments with significant ambiguity
Strong executive presence and consultative skills

Responsibilities

Hire, mentor, and manage a team of Solutions Architects, providing technical guidance, coaching, and career development
Establish and operationalize best practices for pre-sales solutioning, proof-of-concepts, and technical validation
Partner with Sales leadership to co-develop go-to-market strategies and align technical execution with business goals
Engage directly with a select portfolio of strategic enterprise prospects and customers, guiding them through discovery, solution design, and ROI validation
Ensure your team delivers compelling demonstrations, prototypes, and solution architectures tailored to customer needs
Foster cross-functional collaboration with Product and Engineering to bring customer insights into roadmap priorities
Serve as an executive-level technical representative in customer meetings, technical workshops, and industry events
Define scalable processes and assets to support team efficiency, repeatability, and long-term growth
Stay current on enterprise AI adoption patterns, integration strategies, and the evolving competitive landscape

Skills

Key technologies and capabilities for this role

Solutions EngineeringPre-SalesTeam LeadershipHiringMentoringSolutions ArchitectureAI PlatformsConsultative SellingEnterprise SalesTechnical ExcellenceScalable ProcessesCustomer Engagements

Questions & Answers

Common questions about this position

What is the salary range for the Solutions Engineering Manager position?

The salary range is $250K - $285K.

Is this role remote or onsite?

This is an onsite role at an in-office company.

What are the key skills needed for this Solutions Engineering Manager role?

Key skills include technical depth, enterprise consultative engagement, team leadership, hiring and mentoring Solutions Architects, establishing pre-sales best practices, and cross-functional collaboration with Sales, Product, and Engineering.

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 Solutions Engineering Manager role?

A strong candidate will have technical depth, experience leading and hiring Solutions Architects, skills in pre-sales solutioning and enterprise engagements, executive presence, and the ability to drive cross-functional strategies aligning technical capabilities with customer outcomes.

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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