Job intelligence
Senior Manager, Professional Services
Kong Inc.
Before relying on the listing: Confirm Application closing time with the employer or source. See verification questions
Executive opportunity brief
The decision in one screen
A compact evidence-first read of compensation, flexibility, mobility and what still needs verification. No universal quality score is used.
Fast read
Opportunity DNA
The available details do not point to a single standout advantage yet. The clearest issue to weigh is the salary benchmark is still shallow.
The range is usable, but the comparable sample is still too shallow for a strong relative-pay call.
Geographic eligibility is restricted to a country or region.
The listing does not make the minimum education or experience threshold clear enough yet.
Sponsorship and relocation support are not clear from the current listing.
Part of the application route can be assessed, but the full external process may contain additional steps.
At least one recent enabled source can still renew this vacancy.
This fingerprint summarizes what is clear, constrained or still unanswered in the current listing. It is a reading aid, not an overall job score.
Decision evidence check
4 of 5 core facts stated
This checks whether the listing states the facts that commonly change an employment decision. It measures disclosure completeness, not whether the opportunity is good or bad.
Facts already stated
- Compensation
- Work arrangement
- Advertised location
- Employment type
What to verify next
- Application closing time: Is there a firm application deadline, a rolling review window or no stated closing date?
Advertised location is not proof of work authorization, sponsorship, or legal eligibility. Unknown information is not a negative score; verify those questions separately.
Decision levers
What could make or break the fit?
Reasons to look closer
Nothing stands out strongly enough yet to call a clear advantage. The role may still be attractive for reasons the listing does not spell out.
Trade-offs to weigh
- The salary benchmark is still shallow: Pay is disclosed, but the current comparison pool is too small for a strong relative-pay conclusion.
- Location rules could change the fit: Geographic eligibility is restricted to a country or region.
Questions worth asking before you invest more time
- Confirm whether a degree is actually required, preferred, or replaceable with equivalent experience.
- Confirm the actual minimum experience requirement rather than assuming preferred background is mandatory.
- Ask whether visa sponsorship is available before investing significant time in the application.
These questions come from details the listing leaves open. An unanswered point is not treated as a disadvantage.
Salary transparency context
Is pay disclosure typical for this kind of role?
This listing states usable structured compensation, but the current role sample is still too small for a reliable disclosure-rate comparison.
Compensation counts only when amount, ISO currency and supported pay period are all known.
At least ten current comparable roles are required before HPJ publishes a disclosure percentage.
Employer-level comparison is withheld until enough current employer listings are available.
This compares salary-disclosure behavior in current visible listings. It does not compare raw salary amounts across currencies, infer undisclosed pay as zero, or rate employer quality.
Private offer & negotiation lab
Turn an offer into evidence, not guesswork
Enter an annual base offer and, if you want, your own target. HPJ compares only within one explicit currency and never chooses a target for you.
Negotiation evidence available: advertised pay range, strong decision evidence.
Enter an annual base offer to compare it with explicit same-currency evidence. HPJ will not suggest a target for you.
Review the full package · 10 terms
Mark what is confirmed, what needs clarification and what you want to prioritize. These choices and notes stay in this browser.
Usable advertised compensation is available.
Variable compensation is mentioned; verify amount, formula, target and eligibility.
Equity or long-term incentive language is mentioned; verify grant type, vesting and valuation basis.
Retirement or pension benefits are mentioned; verify employer contribution and vesting.
Health-benefit language is mentioned; verify coverage, dependants and employee cost.
Paid-leave language is mentioned; verify the exact entitlement and carry-over rules.
A work-arrangement signal is available; verify schedule details before relying on it.
Relocation support not established
Sponsorship not established
A review cycle is mentioned; verify timing and whether compensation can change at that review.
Questions worth taking into the offer conversation
- Is there a bonus, commission or other variable-pay component, and how is it calculated?
- Does the package include equity or another long-term incentive, and what are the vesting terms?
- What retirement or pension contribution does the employer provide?
- What health coverage is included and what costs remain with the employee?
- How much paid leave is provided and what are the carry-over or blackout rules?
- If relocation is relevant, what expenses, timing and repayment conditions are covered?
- What exact sponsorship or work-authorization conditions apply to this role?
- When is the first performance and compensation review after joining?
Skill bridge
What does this role connect to?
The listing contains useful skill signals, while the current occupation sample is still too thin for a broader comparison.
Skills named in this listing
Shared with the current career sample
The occupation sample is still too thin for a reliable shared-skill comparison.
Application edge
- If these skills match your background, prepare one concrete example that shows how you used AWS, Azure, and Google Cloud rather than relying on a keyword-only claim.
- The listing mentions extra application steps. Review those requirements before starting so you can prepare the requested material in one pass.
Skill signals come from explicit text mentions. A mention is not automatically a requirement, and absence from the current top-skill list does not make a skill rare or unimportant.
Application Decision Lab
Turn the listing into a preparation plan
Separate what the listing actually states from what you still need to prepare or verify. Your selections and short notes stay in this browser and are never submitted to High Paid Job.
AWS
This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.
Azure
This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.
Google Cloud
This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.
Kubernetes
This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.
Prepare for a stated application step
A portfolio or work sample is explicitly mentioned.
Questions worth resolving before you rely on the opportunity
- Application closing time: Is there a firm application deadline, a rolling review window or no stated closing date?
- Work authorization / sponsorship: If sponsorship or work authorization matters to you, what exact immigration or employer-sponsorship conditions apply to this role?
Decision analysis
What the listing really tells you
A closer look at Senior Manager, Professional Services at Kong Inc. points most strongly to pay is visible, but the benchmark is still thin, remote flexibility can be weighed properly, and the application route gives a few useful clues. Those signals shape the practical upside and the questions still worth asking.
Pay is visible, but the benchmark is still thin
The USD range can be compared directly within its currency, although the present comparison sample is too shallow for a confident relative-pay ranking.
Remote flexibility can be weighed properly
Location flexibility can be assessed here: Remote with some uncertainty or restrictions, with a Remote Freedom reading of 62/100. The most important location constraint is geographic eligibility is restricted to a country or region..
The application route gives a few useful clues
Provider-mediated application path · 1 visible process step. The external application may contain additional steps that are not visible from the listing itself.
The listing can be traced to a current source
The opportunity currently has 1 renewable source path across 1 source classes. Multiple independent paths can strengthen continuity, but they are not a substitute for checking the application destination.
How this analysis is assembled
The brief pulls together the parts of the vacancy that can be compared reliably today. Gaps in the listing remain visible instead of being filled with assumptions.
Analysis evidence coverage
How much analysis can the current evidence support?
This title does not yet fit a reliable comparison family, so a pay percentile is not shown.
Measures observable location flexibility and explicit restrictions; it does not determine whether remote work is personally desirable.
The configured source supplied structured salary fields, a usable currency and a focused comparison value.
The listing was posted about 1 days ago.
At least one enabled source recently observed the vacancy. The source chain is traceable, but this is not independent employer verification.
There is no universal opportunity score because pay, flexibility and access matter differently to different people. Compare Jobs lets you weight the evidence around your own priorities.
Decision checklist
What is supported, uncertain or worth checking?
This checklist separates supported strengths, visible cautions and missing evidence. It is not an overall recommendation or guarantee that the job is suitable for you.
Supported strengths
No standout strength is supported strongly enough to list here. That is not a negative rating.
Visible cautions
- Geographic eligibility is restricted to a country or region.
- The role may involve non-standard hours or on-call work.
- This is remote work with a geographic restriction, not a worldwide-remote vacancy.
Still unknown
- There is not enough comparable salary evidence to establish this job’s current pay position.
- Visa sponsorship is not established by the available listing data.
Pay vs. barriers
Opportunity Efficiency not assessed
The current pay position is not reliable enough to weigh compensation against the stated barriers.
1 explicit Remote Freedom restriction signal is present and is shown separately from qualification requirements.
- Current comparable pay position is unavailable.
- Education requirement is not established.
- Required prior-experience level is not established.
This section weighs pay context against clearly stated barriers without collapsing unlike requirements into one universal score. Degree, experience, licensing, clearance and location limits remain separate, and missing qualification details stay unknown.
Beyond the headline
Not enough evidence for a hidden-value finding
Potential hidden value appears only when several distinct non-pay advantages are actually supported. Missing requirements or benefits are never counted as positives.
Still check: The current application path is provider-mediated rather than directly classified as an employer-authorized or official route.
Hidden Value is an experimental evidence summary, not an investment-style score or guarantee of employability. It only uses explicit current listing evidence and does not infer that an unmentioned qualification is unnecessary.
Explainable opportunity highlight
Why this opportunity stands out
These are supported signals from the current listing and comparison sample—not a guarantee that this is the best job for you.
The source provides structured salary information with a comparatively focused range, improving the usefulness of pay comparisons.
The listing was posted about 1 days ago.
Compensation intelligence
How competitive is this pay?
This title does not yet fit a reliable comparison family, so a pay percentile is not shown.
Why this analysis?
- This title does not yet fit a reliable comparison family, so a pay percentile is not shown.
- Salary confidence: High. The configured source supplied structured salary fields, a usable currency and a focused comparison value.
- Range quality: Focused salary range.
Employer compensation communication
Pay transparency at Kong Inc.
Good current pay transparency
This score uses the employer’s current visible listings and combines how often pay is disclosed with how useful those ranges are. Bonus, equity and benefit mentions are shown separately and do not raise the score.
This pattern comes from the employer’s current visible vacancies. It describes hiring and pay transparency in those listings, not employee satisfaction or a permanent judgement of the employer.
Current employer intelligence
Kong Inc. — current opportunity snapshot
Employer Evidence Profile
How often this employer’s current visible sampled vacancies state decision-critical information. These percentages describe evidence coverage, not employer quality.
Current sampled listings with advertised compensation evidence.
Current sampled listings whose work arrangement is clearer than unknown.
Current sampled listings with a supported country signal.
Current sampled listings with an explicit closing time.
Current sampled listings with a usable posting date.
Current sampled listings that explicitly indicate confirmed, possible or unavailable sponsorship evidence.
Current sampled listings with an explicit relocation signal.
Low coverage means the current visible listings state the information less often. It does not prove that the employer lacks the policy, benefit or support.
Common current occupation families: Sales (9) · Software engineering (5) · Customer success (3)
Visible seniority mix: Senior / lead (7) · Leadership (16)
Current employment-type mix: Full time (25)
Most visible hiring countries in this sample: United States (15) · United Arab Emirates (2) · Switzerland (1) · Sweden (1)
Other current roles from this employer
Commerical Account Executive
USA
Leadership · Region-restricted remoteEnterprise Account Executive - Dallas
USA
Leadership · Region-restricted remoteDeveloper Advocate - Volcano
USA
Seniority not clearly specified · Region-restricted remoteStaff Software Engineer, Konnect Core Platform
USA
Senior / lead · Region-restricted remoteThese are other current vacancies visible from the same employer, not endorsements or evidence of future hiring plans.
Current disclosed salary medians by currency
- USD 212,500 median · 15 disclosed salaries
Questions worth asking this employer
- If work authorization matters to you, what sponsorship policy applies to this specific role and location?
- If a move is required, is relocation assistance available for this position?
- What is the expected application and interview timeline if the listing does not state a closing date?
These questions are prompted by missing or thin evidence in the employer’s current visible vacancies. Missing evidence is not treated as a negative judgement.
This employer snapshot uses the employer’s current visible listings. Remote and sponsorship rates use only vacancies with explicit evidence, while missing information stays unknown. Salary medians are shown separately by currency and need at least five disclosed salaries. Zero confirmed sponsorship means none was explicitly found in this sample, not that sponsorship is unavailable.
This snapshot describes the employer’s current visible vacancies—things such as pay disclosure and work arrangement. It is not an employee-satisfaction or hiring-quality rating, and different currencies stay separate.
Work-location intelligence
Remote Freedom
Remote with some uncertainty or restrictions
Why this score?
- The role is remote but the source identifies a country or regional restriction.
Location restrictions detected
- Geographic eligibility is restricted to a country or region.
Remote Freedom measures observable location flexibility only. Unknown work-location information remains unscored. Timezone wording is penalized only when it appears restrictive; general collaboration across time zones is not treated as a restriction. A score does not guarantee legal work eligibility, payroll availability or visa sponsorship.
International applicant intelligence
Visa & relocation signals
Sponsorship status is shown only when the listing provides clear enough wording. Employer history or headquarters location is not used to guess an answer.
The available listing details do not contain a clear enough sponsorship statement.
The available listing details do not contain a clear enough relocation statement.
Tradeoff check
What’s the catch?
These are visible conditions worth checking before treating the headline compensation as the whole story:
- The role may involve non-standard hours or on-call work.
- This is remote work with a geographic restriction, not a worldwide-remote vacancy.
Application-path intelligence
What can we see about the application process?
Provider-mediated application path
The current application path comes through a publisher or aggregator. The destination may still lead to an employer-authorized hiring system, but that is not clear enough to assume.
Current destination: jobicy.com · HTTPS
Visible application steps or requirements
- A portfolio or work sample is explicitly mentioned.
Application effort is estimated from visible listing and source details. Optional steps are kept separate from mandatory ones, and the external form may contain additional requirements that are not visible here.
Application safety context
Application safety check
Basic application-safety context available
The current application destination has a basic transport-safety signal such as HTTPS. This does not verify the employer, vacancy, recruiter or application process.
Evidence checked: Source provenance · Application destination · Listing wording
Observable transport-safety signals
- The available application destination uses HTTPS.
Before you share money or sensitive information
- Confirm the vacancy on the employer’s official careers site when practical, especially if a recruiter contacts you outside the listed application path.
- Check that recruiter email domains and application destinations are consistent with the employer or an identifiable recruiting provider.
- Do not pay application, processing, training or equipment fees merely to be considered for a job.
- Do not send cryptocurrency, gift cards, online-banking credentials or PINs as part of an application.
- Treat unusually fast offers or interviews conducted only through informal messaging channels as reasons to verify the employer independently.
This is a limited safety screen, not employer verification and not a fraud determination. Never send money, cryptocurrency, passwords or sensitive banking credentials merely because a listing appears on a job platform.
Original listing details
The section below comes from the listing source. The decision sections above use the job’s structured pay, location, qualification, mobility and application details to give you additional context.
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.
Listing provenance
Where did this job come from?
See where this vacancy came from and whether more than one current source can still support it. Source names help with traceability and attribution; they are not endorsements or guarantees.
At least one enabled source recently observed the vacancy. The source chain is traceable, but this is not independent employer verification.
- Continuity
- One recent renewable source
- Source-class independence
- One renewable source class
- Last source observation
- Observed today
This records when High Paid Job last observed the vacancy in source evidence. It confirms source presence, not that the employer edited the vacancy at that time.
- 1 enabled source recently observed this vacancy.
Source confidence is about traceability and continuity. It is separate from application safety and should not be read as an employer reputation rating.
The vacancy is supplied by an external job publisher. Source information helps show where the listing came from; it is not a guarantee about the employer or vacancy.
Listing source: Jobicy. Destination: jobicy.com. The application opens in a new tab so you can keep this report open.