Braun Board

Staff Solutions Engineer - Central

Kong · Remote · US

Base
$220K–$250K
OTE
Not disclosed
Posted
2h ago

Still open · checked 1h agoon Kong's careers page

What Kong sells

Secures and manages traffic between apps and AI

Companies have many apps and AI models sending data back and forth, and it gets hard to keep that traffic safe, fast, and under control. Kong sells a product that handles this flow, so a company can secure it, manage it, speed it up, and set rules for it. Teams can then use their apps and AI tools with less worry about what goes where.

In plain English, from their own job posts. Something wrong? Tell us

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The Braun Read

Worth a look

Solid on the basics. Use the first call to fill in the gaps.

Pay
Base is listed but not OTE. Ask what the variable is and how many people hit it.
Transparency
Says nothing about quota, attainment, deal size, territory or sales cycle.
Pipeline
Mostly inbound or an assigned book.
Time on market
Brand new.
Company hiring
Ramping up: posted 10 sales roles in the last 30 days.

Red flags

None spotted.

Green flags

  • SDR or inbound support. You won't be building all of your own pipeline from zero.

Based only on what the posting says. Flags are a starting point for your first call, not a final judgment.

Questions to ask on the first call

Built from what this posting leaves out. How they answer tells you as much as what they say.

  1. 1.

    What percentage of fully ramped reps hit quota last year?

    OTE is what you could earn. This is how likely you are to earn it.

  2. 2.

    What's the OTE, and what did the median rep earn last year?

    Base is what you're guaranteed. OTE and the median show the upside.

  3. 3.

    Who's the economic buyer, and who else is in the deal?

    Selling to a CFO and selling to a developer are different jobs.

  4. 4.

    What's the annual quota, and how was it set?

    A quota built from real data is a target. Otherwise it's a hope.

  5. 5.

    How long is ramp, and what's the quota during it?

    Full quota on day one means you start behind.

  6. 6.

    Why is this role open? Did someone leave, or is it new?

    New headcount is growth. A replacement means someone left. Ask why.

When the offer comes

Save these for later. They land better once they've said yes to you.

  1. 1.

    Can I see the full comp plan in writing, including clawbacks and accelerators?

    What's in writing is what gets paid. Read it before you sign.

  2. 2.

    Can I see the actual comp distribution for the team last year, not just the OTE?

    The spread shows what most reps really take home. OTE is just the target.

  3. 3.

    I'd be walking away from earned commission to join. Is there room for a sign-on bonus to help cover that?

    Leaving money behind is a fair reason to ask. The worst answer is no.

Josh's top five questions for any sales interview →

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The role

Technical pre-sales role supporting field sales on Kong's API and AI connectivity platform for large enterprises. Covers discovery, POCs, demos, and feasibility workshops across assigned accounts.

Enterprise · Inbound

Selling motion

Not stated in the posting.

Who you're selling to

Buyer:
Not stated in the posting.Ask: “Who's the economic buyer, and who else is in the deal?”
Company size:
Enterprise

Pipeline expectations

Mostly inbound or an assigned book of business.

Compensation

$220K–$250K base

What is not disclosed

This posting doesn't tell you:

  • OTE
  • Quota size
  • Quota attainment
  • Average deal size
  • Territory
  • Sales cycle length

The questions above cover the big ones.

Full posting
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: - Support field sales in helping customers understand the value of the Kong API and AI connectivity platform. - Conduct discovery conversations to understand customer requirements and map them to Kong solutions, from initial product reviews through to production. - Support POCs throughout the entire evaluation process, owning technical validation and stakeholder alignment. - Ensure customer satisfaction across your assigned set of accounts. - Collaborate with support, product, and engineering teams to advocate for customer needs. - Create technical documentation for DevOps, implementations, and services engagements. - Lead and support API Management and AI Goverance evaluations, including scoping API/AI use cases, LLM traffic management, and governance requirements. - 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. - Run API & AI-focused Technical Feasibility Workshops (TFWs) to validate Kong’s fit for modern and/or AI/agentic architectures. - Own the technical strategy for complex, multi-stakeholder enterprise deals from qualification through close. - Mentor and coach junior SEs on technical skills, discovery methods, and deal strategy. - 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 - Influence product direction by synthesizing customer feedback and market signals into actionable input for the product team. - And any additional tasks required by manager. What You’ll Bring: - 7+ years of software engineering and/or solutions engineering experience at a SaaS, open source, or enterprise software company. - Proven track record owning complex, enterprise-level deals with multiple technical and executive stakeholders. - Experience mentoring or coaching other SEs or technical team members. - Experience with Docker, Kubernetes, and cloud-native platforms. - Experience with REST and GraphQL APIs, CI/CD pipelines, and API security patterns (OAuth2, OIDC, mTLS). - Hands-on experience with AI-assisted development tooling — Claude Code, GitHub Copilot, OpenAI Codex, or equivalent is required. - Working knowledge of AI/LLM architectures, including model routing, rate limiting, semantic caching, and prompt governance. - Familiarity with Model Context Protocol (MCP) and agentic AI patterns. - Solid understanding of cloud computing trends and open source business models. - Strong listener and communicator — you can confidently lead discussions with engineers, architects, and executives. - Enthusiasm for working in a high-profile, fast-paced environment at the intersection of API and AI connectivity. #LI-MP1 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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