[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) # Senior Manager, Professional Services 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 137,900–197k / yrDepartment[Project & Program Management](https://jobicy.com/categories/project-management.md)EmploymentFull TimeExperienceDirectorPublished31 Oct 2026Apply before30 Nov 2026Listing views37Application actions2Application 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 senior professional-services leader to manage Field Engineers and Engagement Managers serving enterprise customers. The role owns staffing, delivery quality, go-live outcomes, escalations, and customer satisfaction across a portfolio of concurrent engagements. It requires substantial technical credibility in API management, Kubernetes, cloud-native infrastructure, distributed systems, and major cloud platforms. The manager partners closely with Sales, Customer Success, Solutions Architecture, Product, and Engineering while developing delivery standards and coaching a technical team. This is a high-impact leadership role in a fast-moving AI connectivity and enterprise platform environment. ## 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 insightThe role combines people leadership with accountability for complex enterprise technical delivery, staffing decisions, and high-risk escalations. Success requires sound judgment across API platforms, cloud-native architecture, customer management, and cross-functional execution in a rapidly evolving market. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Market rate$167,450US market range (per year)$150k–$210k0$231.00k AI insightThe employer discloses a yearly base-pay range of $137,900 to $197,000 USD, with a midpoint of $167,450. This is a credible range for a US-based senior manager leading technical professional services teams; the estimated US market range for comparable roles is $150,000 to $210,000 yearly. ## Core skills Skills and capabilities most closely associated with this opportunity. [Professional services leadership](https://jobicy.com/jobs?search_keywords=Professional%20services%20leadership.md)[Technical delivery management](https://jobicy.com/jobs?search_keywords=Technical%20delivery%20management.md)[People management](https://jobicy.com/jobs?search_keywords=People%20management.md)[Enterprise account management](https://jobicy.com/jobs?search_keywords=Enterprise%20account%20management.md)[Resource staffing](https://jobicy.com/jobs?search_keywords=Resource%20staffing.md)[Capacity planning](https://jobicy.com/jobs?search_keywords=Capacity%20planning.md)[API management](https://jobicy.com/jobs?search_keywords=API%20management.md)[Kubernetes](https://jobicy.com/jobs?search_keywords=Kubernetes.md)[Cloud-native infrastructure](https://jobicy.com/jobs?search_keywords=Cloud-native%20infrastructure.md)[Distributed systems](https://jobicy.com/jobs?search_keywords=Distributed%20systems.md)[AWS](https://jobicy.com/jobs?search_keywords=AWS.md)[Azure](https://jobicy.com/jobs?search_keywords=Azure.md)[GCP](https://jobicy.com/jobs?search_keywords=GCP.md)[CI/CD](https://jobicy.com/jobs?search_keywords=CICD.md)[Customer escalation management](https://jobicy.com/jobs?search_keywords=Customer%20escalation%20management.md) Sample interview questionsHow have you managed delivery outcomes across multiple concurrent enterprise engagements?I establish clear ownership, delivery milestones, risk indicators, and operating reviews for every engagement. I use capacity and complexity data to staff appropriately, address risks early, and personally lead escalations where customer impact or delivery risk is highest. Describe how you would staff a portfolio of professional-services engagements with limited engineering capacity. I would assess each engagement by technical complexity, customer criticality, delivery stage, required domain expertise, and contractual deadlines. I would then prioritize work transparently, assign the best-fit engineers and engagement managers, rebalance capacity frequently, and communicate trade-offs early to stakeholders. What technical knowledge is necessary to lead services teams implementing API and cloud-native platforms? A leader should understand API gateways, API lifecycle management, integrations, Kubernetes, networking, security, CI/CD, and public-cloud operating models well enough to assess technical decisions and remove blockers. The goal is not to replace hands-on engineers, but to set sound standards and challenge assumptions constructively. How do you handle an at-risk customer implementation approaching its go-live date? I quickly clarify the root causes, business impact, decision owners, and recovery options. I create an executable recovery plan with daily accountability, align internal and customer stakeholders on scope and risks, and escalate promptly when a decision or additional resources are required. How would you develop Field Engineers and Engagement Managers on your team? I would use regular one-to-ones, direct feedback, delivery retrospectives, and individualized growth plans tied to observable skills. I would create opportunities for team members to lead complex work, deepen technical or program leadership capabilities, and build reusable practices that improve both their careers and team performance. 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. AI traffic is about to outrun API traffic the same way API traffic outran human traffic. Come lead the team that gets enterprises through that transition. If you don’t think you meet every bullet below, apply anyway. Nobody checks every box — we’re looking for people who are strong in a few areas and hungry in the rest. ### About the Role: Kong is the connectivity layer of AI. We’re a 6-time Gartner Magic Quadrant Leader and a Forrester Wave Leader, running in production at Fortune 500 scale. Every enterprise moving from “we’re piloting AI” to “AI is in production” runs into the same wall: governance, security, and connectivity for a traffic pattern nobody built for. That’s the opportunity in front of this team, and it’s why Professional Services is one of the fastest-growing parts of this company right now. We’re hiring a Professional Services Manager to lead a team of Field Engineers and Engagement Managers across Kong’s US Professional Services organization. This is a leadership role, not a delivery role: you’re directly responsible for delivery outcomes, staffing, and the growth of the people who sit hands-on with customer engineering teams every day. You own the full engagement lifecycle for your book of business — staffing the right Field Engineers and Engagement Managers on every account, holding the team to go-live dates and technical quality, and driving resolution personally on the highest-risk or highest-value accounts. You’re operating at the intersection of people leadership, technical delivery, and enterprise account management, and you’re judged on outcomes, not activity. We want leaders who’ve done the implementation work themselves and now want to multiply that impact through a team: coach the engineers, clear the blockers and build the delivery muscle that lets Kong keep pace with enterprise demand for API and AI connectivity. You’ll work daily with Solutions Architects, Sales, Customer Success, Product, and Product Engineering — scoping engagements correctly before they land on your team, and feeding what you learn in the field straight back into how Kong builds and sells. This is a rare seat: AI connectivity is a land grab right now, and the person who builds this team’s delivery model in the next 18 months owns a track record that doesn’t come around twice. ### Impact Lead the team that turns Kong’s platform into production reality for some of the world’s largest enterprises — the ones deciding right now how AI gets governed, secured, and scaled across their business. ### Growth Build your leadership craft against the fastest-moving category in enterprise software: AI connectivity, cloud-native architecture, and distributed systems at Fortune 500 scale. Prove out this team’s model and the case for more scope writes itself. ### Opportunity Join a Professional Services organization growing as fast as the AI adoption curve it’s built to serve — market-leading credibility behind every conversation you walk into, and a direct hand in building the delivery model while it’s still being written. ### What You’ll Do: * Manage and grow a team of Field Engineers and Engagement Managers — hiring, coaching, career development, and performance management. * Own delivery outcomes across your book of business: go-live dates, technical quality, and customer satisfaction. Report on them with the same rigor you’d demand from your team. * Staff the right Field Engineer and Engagement Manager to every engagement based on account complexity, technical scope, and team capacity. * Be the senior escalation point on at-risk or high-complexity engagements — drive resolution and direct the team’s response personally. * Run your team’s operating cadence: staffing reviews, at-risk reviews, 1:1s, and status reporting up to Professional Services leadership. * Partner with Sales, Customer Success, and Solutions Architecture to scope new engagements accurately and take clean handoffs from pre-sale to delivery. * Set and enforce delivery standards across your team — reusable accelerators, reference architectures, and best practices that outlive any single engagement. * Feed what your team learns in the field back to Kong Product and Engineering — real customer signal shapes our roadmap. * Lead your team’s work on the strategic initiatives that matter most right now: AI connectivity, governance, platform modernization, and cloud-native transformation. ### What You’ll Bring: ### Experience * 8+ years in customer-facing engineering, professional services, or platform engineering, including 2+ years directly managing a technical, customer-facing team. * A track record of delivery leadership in API gateways, API management, integrations, or distributed systems platforms — deep enough that you can direct and evaluate your team’s work, not just review it. * Experience managing staffing, capacity, and prioritization across a portfolio of concurrent enterprise engagements. * Strong Kubernetes and cloud-native infrastructure fluency — enough to unblock your team and hold your own with customer architects and executives. * Experience with major cloud providers: AWS, Azure, or GCP. * Comfort directing and evaluating automation frameworks, deployment tooling, CI/CD pipelines, or migration tooling built by your team. * Prior experience in API Management, Open Source, Middleware, SaaS, or Infrastructure software companies is a strong plus. ### Preferred Attributes * A decisive leadership mindset — you make the staffing and prioritization call and drive it to resolution without needing to do the work yourself. * Comfortable operating in ambiguous, fast-moving enterprise environments where the right call today beats the perfect call next week. * A genuine passion for growing engineers and engagement managers into their next role — this job is measured in the careers you build, not just the accounts you save. * Excellent communication across technical and executive audiences, internal and customer-facing. * Highly organized, with strong prioritization and execution across a multi-account portfolio. * Real enthusiasm for AI, modern infrastructure, and cloud-native technology — this team is living the shift, not reading about it. * A strong sense of ownership for outcomes that aren’t always fully in your control — that’s the job. #LI-KH1 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). 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