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Added 47 mins ago
KI
Technical Marketing Engineer
Klara Inc
Hamilton, ON
- Full-time
…depend on auditable, long-lived, sovereign systems. Our team is senior, globally distributed, and operates with a high degree of…
Added 2 hours ago
UO
Electro-Optical Engineer Intern
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- Volunteer
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- Full-time
As a Senior Data Architect, you'll lead the design and implementation of modern data platforms for enterprise clients across Energy, Financial Services, and Public Sector. You'll work…
Added 3 hours ago
W
Senior Talent Acquisition Partner
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WildBrain Studios is looking for a Senior Talent Acquisition Partner to join our Talent team and support recruitment efforts on our CG animated feature Little Santa!
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TM
Senior Content Marketing Specialist
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Associate Director, Content Marketing
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…high-performing team of marketing professionals. This is a senior leadership opportunity for an experienced growth marketer who thrives at the intersection of strategy, client partnership,…
Added 9 hours ago
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Revenue Enablement Specialist, XDR
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Added 9 hours ago
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Added 9 hours ago
SS
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Klara Inc

Technical Marketing Engineer

Hamilton, ON, Canada

Full-time

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Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Oct 12, 2026
Posting language: English
Posted: Jul 23, 2026

Original job description

About Klara Inc.

Klara Systems is a FreeBSD and ZFS engineering services company. We work with enterprise customers across North America, the UK, and Europe, including defense primes, storage vendors, and operators of critical infrastructure who depend on auditable, long-lived, sovereign systems. Our team is senior, globally distributed, and operates with a high degree of autonomy. 

Role Overview

You will be a part of the marketing team and will build and run the pipeline that turns engineering work into published material buyers can find. You pull source material from engineers and consultants, decide what is worth publishing, structure it so humans and retrieval systems can use it, and measure what it does for pipeline. You automate the repetitive parts so output does not depend on headcount.

This is a hands-on individual contributor role. You will be the first person in this seat, and you will build most of the tooling yourself.

What you will do

Interview engineers and consultants. Mine incident write-ups, support patterns, upstream PRs, mailing lists, and client-safe delivery lessons for source material.
Turn that material into posts, technical pages, comparisons, FAQs, and migration explainers organized around the questions buyers ask, in the language practitioners use.
Spot opportunities for original research and benchmark reports in recurring patterns from customer engagements.
Build your own extraction tooling: scripts and LLM pipelines that mine support tickets, upstream PRs, mailing list archives, and delivery notes, then flag what is worth publishing.
Maintain a tracked set of buyer questions and run it monthly against ChatGPT, Claude, Perplexity, and Google AI Overviews. Report where Klara appears, then close the gaps through page structure, schema markup, and new content.
Use AI tooling to watch forums, mailing lists, and technical communities for discussions Klara should be part of.
Read the funnel, run experiments across regions and channels, and cut channels that are not earning their budget.
Own funnel reporting, attribution, nurture flows, and the dashboards leadership reads. When a stage underperforms, say why and what you changed.
Automate reporting and first drafts so your time goes to interviews, technical review, and distribution.
Keep lightweight dashboards: retrieval coverage, funnel impact, and time from source material to published output.

What success looks like

When buyers ask about FreeBSD, ZFS, storage architecture, migration, or reliability, Klara material shows up in search results and in model answers.
Material from consulting or development work and upstream activity gets published within days.
More pipeline can be traced to published technical material.
Engineers trust the output enough to put their names on it.

Must Have

You can hold a technical conversation with an operating systems or storage expert and turn 40 minutes of discussion into something publishable.
A background in software development, systems administration, or a related field, through education or hands-on work.
You read technical docs and incident notes closely enough to catch missing context and sharpen claims, and you check before shipping rather than guessing.
You use AI tooling daily and know how to get accurate and usable information and assets from it.
You know which repetitive tasks are worth automating and which are not worth the build.
You understand technical buyer personas and can build content they actually want to read.

Nice to Have

You have experience using and building marketing dashboards. Can work HubSpot (or similar tools) and read a dashboard without being handed a summary.
You are familiar with or have contributed to and/or participated in an open source project or community.
You have run a retrieval or AEO program before, not just SEO.
The second time a task shows up, you think about options to automate it or build a tool for it.

How we work 

We are distributed and asynchronous by default. We operate as a senior team with low ceremony and high trust, and we hold ourselves to an honest engineering culture. We do not oversell, we do not obscure problems, and we expect the same standards from the people we hire.

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More about this job

Responsibilities

Source technical insights from engineers, consultants, support patterns, and open-source activity, then turn them into accurate, buyer-focused content and research. Build automation and retrieval monitoring, manage funnel reporting and experiments, and improve the reach and measurable pipeline impact of published material.

Requirements

The candidate must be able to discuss operating systems or storage with experts and turn technical conversations and documentation into accurate, publishable material, supported by software development, systems administration, or related hands-on experience. They should use AI tools effectively, understand technical buyers, and identify worthwhile automation; experience with marketing dashboards, HubSpot, open-source communities, or retrieval/AEO programs is an advantage.

Skills

Technical Content Development
Technical Interviewing
Systems Administration
Software Development
FreeBSD
ZFS
AI Tooling
LLM Pipelines
Marketing Automation
Search Engine Optimization
Answer Engine Optimization
Schema Markup
Funnel Reporting
Marketing Attribution
Dashboard Development
HubSpot

Visa sponsorship

Not detected in the job text

Keywords

FreeBSD
ZFS
Storage Architecture
Operating Systems
Systems Administration
Software Development
Technical Marketing
Technical Content
Content Strategy
Technical Buyer Personas
AI Tooling
Large Language Models
LLM Pipelines
Search Engine Optimization
Answer Engine Optimization
Google AI Overviews
Schema Markup
Marketing Automation
Funnel Reporting
Marketing Attribution
Nurture Flows
Marketing Dashboards
HubSpot
Open Source
Benchmark Reports
Incident Write-Ups
Mailing Lists
Upstream Pull Requests
Pipeline Measurement
Technical Research

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