Decagon Logo

Decagon

Director of Solutions Engineering, Enterprise East

Posted 12 Days Ago
Be an Early Applicant
In-Office
New York City, NY, USA
320K-400K Annually
Senior level
In-Office
New York City, NY, USA
320K-400K Annually
Senior level
Leads and scales Decagon’s pre-sales Solutions Engineering function by hiring and developing the team, establishing technical validation and proof-of-concept processes, partnering with Sales, Product, and Engineering, and guiding enterprise customers through solution design, demonstrations, integrations, and ROI validation. Serves as an executive-level technical representative while shaping go-to-market strategies, customer insights, and scalable team processes for enterprise AI adoption.
The summary above was generated by AI

About Decagon

Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.

Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel.

We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others.

We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team.

About the Role
Decagon is seeking a Director of Solutions Engineering to build and lead our growing pre-sales solutions engineering function. This role combines technical depth, enterprise consultative engagement, and team leadership, enabling Decagon to drive adoption of our AI-native platform across some of the world’s most complex enterprises.

As a manager of the Solutions Engineering team, you will be responsible for hiring, mentoring, and developing a high-performing team of Solutions Engineers. You’ll establish scalable processes and best practices for pre-sales engagements, ensure technical excellence in customer conversations, and represent Decagon as a senior technical leader on key opportunities.

This role is highly cross-functional: you will partner closely with Sales, Product, and Engineering to design strategies that align technical capabilities with customer outcomes. You will also bring strong executive presence to customer engagements, guiding both technical and business stakeholders through how Decagon integrates into their technology environments and drives measurable business value.

In this role, you will

  • Hire, mentor, and manage a team of Solutions Engineers, 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 enterprise prospects and customers, guiding them through discovery, solution design, and ROI validation.

  • Ensure your team delivers compelling demonstrations, prototypes, and solution engineers 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.

Your background looks something like this

  • 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, capable of establishing trust and credibility with senior leaders.

Even better if you have

  • Experience in AI/Generative AI pre-sales engineering or enterprise deployments.

  • Familiarity with enterprise architecture design, developer tooling, SDKs, and integration patterns.

  • Background in software engineering or systems engineering, enabling you to dive deeply into technical discussions.

  • Experience integrating telephony infrastructure or other complex enterprise systems.

  • Knowledge of LLM architecture, prompt engineering, evaluation, and AI-powered solution design.

  • Thought leadership experience through conferences, webinars, or published technical content.

Compensation
$320,000 - $400,000 + Offers Commission + Equity

Benefits

We proudly offer the following benefits for our full-time employees:

  • Medical, Dental, and Vision benefits for you and your family

  • Life Insurance and Disability Benefits

  • Retirement Plan (e.g., 401K, pension)

  • Parental Leave

  • Fertility and family building benefits through Carrot

  • Monthly stipend to support your wellness, lifestyle, and work-life balance

  • Daily lunches and snacks in the office to keep you at your best

  • Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave)

These benefits are described in more detail in Decagon’s policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.

Similar Jobs

13 Minutes Ago
Hybrid
New York, NY, USA
230K-286K Annually
Senior level
230K-286K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Leads multiple technology projects and engineering teams while designing and implementing large-scale, distributed, cloud-native systems. Provides technical leadership across teams, shapes architecture and platform roadmaps, mentors engineers, drives reliability and performance, and partners with product leaders. Uses modern programming languages, cloud platforms, microservices, databases, containers, CI/CD, observability, and AI-based development tools to deliver secure solutions supporting regulatory and customer needs.
Top Skills: Ai Coding ToolsAutomated Testing FrameworksAWSAzureBitbucketC#Ci/CdDockerGCPGitGitGoIde CopilotsInfrastructure As CodeJavaJavaScriptKubernetesNode.jsNoSQLObservabilityOpen Source FrameworksPythonRdbmsRustScalaTypescript
13 Minutes Ago
Hybrid
New York, NY, USA
215K-246K Annually
Mid level
215K-246K Annually
Mid level
Fintech • Machine Learning • Payments • Software • Financial Services
Leads full-stack engineering projects and developers building distributed microservices and cloud-based systems. Provides technical direction across Agile teams, defines service boundaries and integration patterns, reduces technical debt, improves system performance, and establishes engineering standards. Collaborates with product managers and architects while using modern programming languages, databases, containers, AWS services, AI coding tools, CI/CD, and observability technologies.
Top Skills: Ai Coding ToolsAPIsAutomated Testing FrameworksAWSAzureBitbucketC#Ci/CdDockerFront-End Javascript FrameworksGCPGitGitGoIde CopilotsInfrastructure As CodeJavaJavaScriptKubernetesNode.jsNoSQLObservability ToolsOpen Source FrameworksPythonRdbmsRustScalaTypescript
18 Minutes Ago
In-Office
Staten Island, NY, USA
20-36 Hourly
Mid level
20-36 Hourly
Mid level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Engages health plan members in homes and community settings, provides benefit education, coordinates clinical visits, removes access barriers, completes assessments, connects members with community resources, documents interactions in an EMR, and plans field routes. The role requires collaboration with providers, independent judgment, strong organization, reliable transportation, and flexibility to meet member needs.
Top Skills: Electronic Medical Record (Emr)ExcelWindows

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account