Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 12 hours ago

Forward Deployed Engineer, GTM

Kong100 open roles

Pay
$125,370 – $179,100 a year
Where
California, United States
Work mode
Remote
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowForward Deployed Engineer, GTMKong · California, United States

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Kong's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.9% of postings close within 7 days. Measured by our own scanner across the market. Kong postings stay open a median of 44 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 12.9%7 days
  4. 21.0%14 days
  5. 35.6%30 days
  6. 58.5%60 days
This job: posted 12 hours ago

Kong median: 44 days open

The 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.

We are looking for a GTM Forward Deployed Engineer to build and launch AI agents for our go to market (GTM) teams (Marketing, Sales, Product and Revenue Operations) using platforms like Salesforce, Slack, Claude Code, Gemini, Snowflake, Marketo, Clay, Nooks, and Rox

Key Responsibilities

- Prototype and deploy AI agents for customer retention, pipeline generation, GTM productivity, deal inspection, account research, opportunity updates, and meeting prep.

- Create prompt templates and system instructions for accurate, consistent outputs.

- Define agent persona, tone, and fallback logic

- Re-engineer GTM processes by connecting LLMs to GTM systems

- Build and test agentic tools quickly.

- Document agent logic and prompt structures to ensure scalable, independent automation across the global GTM organization.

- Test system prompts, context retrieval, and model selection to boost output quality, seller adoption, and deal velocity.

- Track and audit production agents to quickly fix output drift, performance gaps, and accuracy issues

- Partner with GTM Analytics teams to integrate GTM data sources for real-time customer and pipeline insights.

- Create practical prompt libraries, quick-reference playbooks, and training sessions to maximize seller, customer and/or potential customer value.

- Ensure prompt, workflow, and deployed solutions meet security, legal, and company AI standards.

Required Qualifications

- Have 5+ years of software engineering experience

- Working knowledge of GTM strategy, AI Operations and hands-on experience putting AI workflows or LLM agents into production.

- Experience creating internal documentation, toolkits and playbooks that outlived your involvement and were adopted at scale.

- Experience in a technical or cross-functional role that required problem-solving across teams and functions.

- A track record of building AI-powered tools, automations, or workflows that changed how real work gets done — with specific examples you can speak to.

- Clear, concise communication skills — you can explain a technical concept to someone who's never thought about it before, without talking down to them.

- Comfort with ambiguity and self-direction; you don't need a detailed roadmap to know where to start.

Preferred Qualifications:

- Hands-on experience with AI development platforms and tools such as Claude, Claude Code, MCPs, LLM APIs, custom agent frameworks, or workflow automation platforms.

- Background in change management, organizational development, or a large-scale rollout that required bringing skeptical stakeholders along.

- Experience in solutions engineering where you had to earn trust and deliver results quickly.

- Familiarity with the enterprise SaaS tools Kong runs on: Okta, Slack, Google Workspace, Salesforce, Jira, or Freshservice.

- Familiarity with Kong Konnect, Kong Gateway, or API management concepts — understanding how APIs and AI models connect will help you build smarter tools.

- Experience helping others develop new technical skills, whether through formal training, one-on-one coaching, or team enablement programs

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.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Kong's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Kong's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Kong's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.