[All remote jobs](https://jobicy.com/jobs.md)[![Kong Inc. logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2022/03/f43352b801f4c6854ba70c5f70cec7cd.jpeg)](https://jobicy.com/company/kong-inc.md)[Kong Inc.](https://jobicy.com/company/kong-inc.md)

# Staff Solutions Engineer – Northeast

Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move.

[Apply for this job](#job-application)[View company](https://jobicy.com/company/kong-inc.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUSD 220k–260k / yrDepartment[Sales](https://jobicy.com/categories/seller.md)EmploymentFull TimeExperienceDirectorPublished6 Oct 2026Apply before5 Nov 2026Listing views29Application actions1Application toolkit

## Make your next move.

Prepare your resume, explore your fit, and draft a cover letter for this opportunity.

AI Summary

## The role, at a glance.

Kong is seeking a Staff Solutions Engineer to lead the technical strategy for complex enterprise API-management and AI-connectivity opportunities in the Northeast. The role partners closely with field sales, conducts discovery, delivers demonstrations and technical feasibility workshops, and owns proof-of-concept validation through deal close. It requires deep hands-on expertise in cloud-native infrastructure, APIs, security patterns, and emerging AI/LLM and agentic architecture practices. The successful candidate will also mentor junior solutions engineers, represent Kong through technical thought leadership, and relay customer feedback to product and engineering teams.

## Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

### Job Complexity

5/5EasyHard

### Pace & Pressure

5/5RelaxedFast-paced

### Autonomy Level

5/5GuidedFull ownership

### Communication Load

5/5IndependentCollaborative

AI insightThis is a senior, customer-facing technical sales role requiring ownership of high-stakes, multi-stakeholder enterprise evaluations and complex technical strategy. Candidates need both strong implementation-level knowledge and the executive communication skills to influence architecture, purchasing, and product direction.

## Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianHighly competitive$240,000US market range$190k–$270k0$297k

AI insightThe disclosed annual compensation range is USD 220,000 to USD 260,000, with a midpoint of USD 240,000. This sits within a competitive US market range of approximately USD 190,000 to USD 270,000 for a staff-level enterprise Solutions Engineer with API, cloud-native, security, and AI/LLM specialization; total compensation may vary based on variable pay and equity components not specified in the posting.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[Solutions Engineering](https://jobicy.com/jobs?search_keywords=Solutions%20Engineering.md)[Enterprise Pre-Sales](https://jobicy.com/jobs?search_keywords=Enterprise%20Pre-Sales.md)[API Management](https://jobicy.com/jobs?search_keywords=API%20Management.md)[AI Connectivity](https://jobicy.com/jobs?search_keywords=AI%20Connectivity.md)[LLM Governance](https://jobicy.com/jobs?search_keywords=LLM%20Governance.md)[Kubernetes](https://jobicy.com/jobs?search_keywords=Kubernetes.md)[Docker](https://jobicy.com/jobs?search_keywords=Docker.md)[REST APIs](https://jobicy.com/jobs?search_keywords=REST%20APIs.md)[GraphQL](https://jobicy.com/jobs?search_keywords=GraphQL.md)[API Security](https://jobicy.com/jobs?search_keywords=API%20Security.md)

Sample interview questionsHow would you structure a technical discovery session for an enterprise evaluating an API and AI connectivity platform?I would begin by identifying business drivers, target use cases, success metrics, stakeholders, and the current architecture. I would then map API, identity, security, observability, deployment, and AI-governance requirements to a prioritized validation plan, documenting risks and decision criteria before proposing a focused proof of concept.

Describe how you would validate an AI/LLM traffic-management use case during a proof of concept.

I would define measurable scenarios such as model routing, rate limiting, authentication, prompt guardrails, semantic caching, and auditability. I would deploy the solution in a representative environment, run functional and load tests, demonstrate governance controls, and review results against agreed technical and business success criteria.

What API security patterns would you recommend for a distributed, cloud-native enterprise environment?

I would generally recommend layered controls including OAuth 2.0 or OIDC for authorization and identity, mTLS for service-to-service transport security, scoped tokens, centralized policy enforcement, rate limiting, schema validation, secrets management, and comprehensive logging. The final architecture should align with the customer's threat model, regulatory requirements, and operational maturity.

How do you manage a complex enterprise deal with both technical practitioners and executive stakeholders?

I create a stakeholder map and tailor communication to each audience: architecture depth and implementation evidence for practitioners, risk reduction and outcomes for executives, and clear milestones for sponsors. I maintain a mutual action plan with documented success criteria, owners, dependencies, and regular checkpoints to keep technical validation aligned with the commercial process.

How would you mentor a junior Solutions Engineer who is technically capable but struggles with discovery conversations?

I would model structured discovery, provide a reusable question framework, and role-play customer scenarios with them. After joint calls, I would give specific feedback on listening, follow-up questions, and connecting technical details to business impact, then gradually give them more ownership with coaching checkpoints.

Opportunity details

## About this role.

Are you ready to unlock intelligence?

If you don’t think you meet all of the criteria below but are still interested in the job, please apply. Nobody checks every box – we’re looking for candidates that are particularly strong in a few areas, and have some interest and capabilities in others.

About the Role:

Are you ready to sit at the epicenter of the API and AI connectivity revolution? As a Staff Solutions Engineer at Kong, you won’t just be selling a platform — you’ll be a trusted technical advisor helping the world’s most innovative enterprises architect secure, scalable API ecosystems while navigating the transition into the agentic AI era. Kong sits at the intersection of API management and AI connectivity, and you’ll be the person who makes that story real for customers.

What You’ll Do:

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Support field sales in helping customers understand the value of the Kong API and AI connectivity platform.

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Conduct discovery conversations to understand customer requirements and map them to Kong solutions, from initial product reviews through to production.

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Support POCs throughout the entire evaluation process, owning technical validation and stakeholder alignment.

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Ensure customer satisfaction across your assigned set of accounts.

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Collaborate with support, product, and engineering teams to advocate for customer needs.

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Create technical documentation for DevOps, implementations, and services engagements.

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Lead and support API Management and AI Goverance evaluations, including scoping API/AI use cases, LLM traffic management, and governance requirements.

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Deliver demonstrations of Kong’s API & AI governance and agentic connectivity capabilities, including Model Context Protocol (MCP) governance, semantic caching, prompt guardrails, and shadow AI detection.

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Run API & AI-focused Technical Feasibility Workshops (TFWs) to validate Kong’s fit for modern and/or AI/agentic architectures.

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Own the technical strategy for complex, multi-stakeholder enterprise deals from qualification through close.

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Mentor and coach junior SEs on technical skills, discovery methods, and deal strategy.

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Drive thought leadership by authoring technical blogs, hosting webinars, speaking at industry events and conferences such as AWS re:Invent, Google Next, API & AI summit, and regional events

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Influence product direction by synthesizing customer feedback and market signals into actionable input for the product team.

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And any additional tasks required by manager.

What You’ll Bring:

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7+ years of software engineering and/or solutions engineering experience at a SaaS, open source, or enterprise software company.

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Proven track record owning complex, enterprise-level deals with multiple technical and executive stakeholders.

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Experience mentoring or coaching other SEs or technical team members.

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Experience with Docker, Kubernetes, and cloud-native platforms.

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Experience with REST and GraphQL APIs, CI/CD pipelines, and API security patterns (OAuth2, OIDC, mTLS).

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Hands-on experience with AI-assisted development tooling — Claude Code, GitHub Copilot, OpenAI Codex, or equivalent is required.

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Working knowledge of AI/LLM architectures, including model routing, rate limiting, semantic caching, and prompt governance.

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Familiarity with Model Context Protocol (MCP) and agentic AI patterns.

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Solid understanding of cloud computing trends and open source business models.

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Strong listener and communicator — you can confidently lead discussions with engineers, architects, and executives.

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Enthusiasm for working in a high-profile, fast-paced environment at the intersection of API and AI connectivity.

#LI-JS2

About Kong:

Kong Inc., the AI Connectivity Company, is building the connectivity layer of AI. Trusted by the Fortune 500® and AI-native startups alike, Kong’s unified API and AI platform enables organizations to secure, manage, accelerate, govern, and monetize the flow of intelligence across APIs and AI traffic — on any model, any cloud. For more information, visit [www.konghq.com](http://www.konghq.com).

Show more

[Apply now >](https://jobicy.com/jobs/154680-staff-solutions-engineer-northeast.md)

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