Integrant

Enterprise software engineering with AI agents

Technical Marketing Specialist - AI Solutions, Engineer Track

Product MarketingConfirmed live in the last 24 hours

Full-timeSan Diego, CA, USA$50k - $65k /yrIn-person

About the Job

Requirements

A Computer Science degree or an engineering degree in any discipline is required.
Strong analytical and logical thinking is required.
Comfort with technical complexity and the ability to understand technical systems are required; building them is not required.
Attention to detail and precision are required, particularly for marketing copy about technical products.
The ability to explain complex systems in clear, structured, logical writing is required.
Curiosity about how things work is required.
A data-driven mindset and the ability to measure what works are required.
The ability to write clearly and precisely, with an emphasis on accuracy rather than creativity, is required.
The ability to explain technical concepts to non-technical people is required.
Strong written communication skills, more than verbal communication skills, are required.
The ability to diagram systems and explain architecture is required.
Attention to detail in writing is required.

Responsibilities

Develop a deep understanding of the company's AI and agentic solutions.
Explain complex technology concepts to non-technical buyers, conveying the work engineers have built.
Create technical content, including case studies, technical blog posts, architecture diagrams, and demonstrations.
Work directly with engineers to understand product capabilities.
Help sales teams explain technical value to enterprise customers.
Measure the effectiveness of content and iterate based on data.
Translate engineering specifications into buyer-friendly language.
Write technical blog posts explaining AI and agentic concepts.
Create case studies that include technical depth and business outcomes.
Build technical diagrams, architecture explanations, and how-it-works content.
Answer complex technical questions from prospects.
Participate in technical demonstrations and sales calls.
Help execute technical campaigns targeting engineers at buyer companies.
Support webinars with technical content, including code examples, architecture, and deep dives.
Create technical comparison content about the company's solution and competitors.
Support technical question-and-answer content and frequently asked questions.
Track engagement with technical content using data.
Research how enterprises use AI and agentic solutions.
Analyze competitors' technical offerings and positioning.
Study industry trends in AI, automation, and machine learning.
Collect customer feedback on technical capabilities.
Document product capabilities for sales and marketing use.
Create materials that help sales engineers close deals.
Develop technical frequently asked questions and response templates.
Build technical battlecards explaining how to position against competitors.
Support presales technical discussions.
Create technical value proposition documents.

Desired Qualifications

Python, JavaScript, or another programming language is a nice-to-have.
Understanding of application programming interfaces and system integration is a nice-to-have.
Knowledge of AI, machine learning, or automation concepts is a nice-to-have.
Database or SQL experience is a nice-to-have.
Git, GitHub, or version control experience is a nice-to-have.
Basic Linux or command-line knowledge is a nice-to-have.
Familiarity with cloud platforms such as AWS, GCP, or Azure is a nice-to-have.
Understanding of enterprise software architecture is a nice-to-have.

Technical Marketing Specialist - AI Solutions | Engineer Track

Integrant · San Diego, United States · — · Posted 2026-10-07

Workplace: on_site

Department: Marketing

Description

Role Overview

You've spent years learning to code, build systems, solve technical problems. Now use that analytical mindset in a new way.

As our Technical Marketing Specialist, you will:
- Deeply understand our AI and Agentic solutions (technical depth matters here)
- Explain complex tech concepts to non-technical buyers (articulate what engineers built)
- Create technical content: case studies, technical blogs, architecture diagrams, demos
- Work directly with our engineers to understand product capabilities
- Help sales teams explain technical value to enterprise customers
- Measure what works and iterate based on data

What You'll Own

Technical Translation & Content

Translate engineering specifications into buyer-friendly language
Write technical blog posts explaining AI/Agentic concepts
Create case studies with technical depth AND business outcomes
Build technical diagrams, architecture explanations, how-it-works content
Answer complex technical questions from prospects
Participate in technical demos and sales calls

Campaign Support & Execution

Help execute technical campaigns targeting engineers at buyer companies
Support webinars with technical content (code examples, architecture, deep dives)
Create technical comparison content (our solution vs. competitors)
Support technical Q&A content and FAQs
Track engagement on technical content (data-driven)

Research & Analysis

Research how enterprises use AI/Agentic solutions
Analyze competitor technical offerings and positioning
Study industry trends in AI/automation/ML
Collect customer feedback on technical capabilities
Document product capabilities for sales/marketing use

Sales Enablement

Create materials that help sales engineers close deals
Develop technical FAQs and response templates
Build technical battlecards (how to position against competitors)
Support pre-sales technical discussions
Create technical value proposition documents

Why This Is Perfect For Engineers

✅ Use Your Technical Skills: Code understanding, system thinking, analytical rigor—all valued here

✅ Data-Driven: Everything measured. What content works? What messaging converts? Prove it with data.

✅ Problem-Solving: How do you explain a complex distributed system to a CEO? How do you position automation vs. human labor? Solve these communication problems.

✅ No BS Nonsense: We don't do vanity metrics ("10K impressions!"). We care about business outcomes. Engineers respect that.

✅ Learn Business: See how your technical work drives leads, pipeline, revenue. Understand the business side of technology.

✅ Credibility: Talk to engineers and technical decision-makers as a peer. You speak their language.

✅ Career Path: Technical marketing is a legitimate career (not a fallback). Step into this, become an expert, position for product management or director roles.

Requirements

Computer Science degree OR engineering degree (any discipline)
Strong analytical and logical thinking
Comfortable with technical complexity (don't need to build it, but must understand it)
Attention to detail and precision (marketing copy for technical products must be exact)
Can explain complex systems in writing (clear, structured, logical)
Curious about how things work
Data-driven mindset (measure what works)

Communication Skills

Can write clearly and precisely (not creative, but accurate)
Can explain technical concepts to non-technical people
Strong communication (written more than verbal—this is technical content)
Can diagram systems and explain architecture
Attention to detail in writing

Nice-to-Have Technical Skill

Python, JavaScript, or any programming language
Understanding of APIs and system integration
Knowledge of AI/ML/automation concepts
Database or SQL experience
Git, GitHub, or version control
Linux/command line basics
Cloud platforms (AWS, GCP, Azure)
Understanding of enterprise software architecture

Integrant is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity, genetic information, or any other protected characteristic.

Benefits

Salary**: $50,000–$65,000 annually
- Based on education, technical background, communication skills
- SB 642 compliant (California transparency)

Apply

Apply at Integrant

About the Company

Integrant

Enterprise software engineering with AI agents

Integrant builds enterprise software for regulated industries like medical devices, life sciences, pharma, financial services, manufacturing, and the public sector. Their offerings include full platform development, modernization of legacy systems, or embedding AI agents into client workflows. It uses the Agentic Software Development Life Cycle (ADLC), where AI agents assist across requirements, architecture, build, test, and deployment, while engineers with deep domain knowledge govern every step to ensure quality. Unlike many firms, Integrant combines top-tier engineering talent (the top 1% in a demanding market), a long-track record in regulated environments, and responsible AI acceleration with engineer accountability. Their goal is to be the trusted technology partner clients rely on for mission-critical software that lasts. Headquartered in San Diego with engineering centers in Cairo and Amman.

Company size: 201-500
Company stage: Not listed
Total funding: Not listed
Headquarters: San Diego, CA
Founded: 1992

Recently Posted Jobs

Explore more opportunities at Integrant

See more jobs