AI Marketer (in Partnership with Nas.com)

Aleph (Formerly Red Alpha Cyber); Singapore; On-site; SGD 27,000 - 40,000; Full time

Job summary

Aleph (formerly Red Alpha Cyber) is launching an AI Marketer programme in Singapore to train engineers to build, deploy and own AI-powered marketing systems. The 12-week training will cover marketing fundamentals and campaigns, followed by applying technical skills to marketing workflows that drive growth.

You'll work across marketing, technology and AI, learning to communicate technical products and create automated, measurable marketing solutions.

Qualifications

• Good if you have some relevant experience in software, data, cloud, AI, QA or solutions engineering, or a related technical role
• No marketing experience required. We'll teach you the marketing through structured training and real campaigns
• Strong problem-solving skills: you can break messy problems into steps, test assumptions and persist through debugging
• Curious about customers and why products win, not just how they're built
• Strong communication and ownership: you can explain technical ideas simply, work with non-technical stakeholders and take a project from idea to something people depend on
• We care more about your technical foundation, curiosity about the market and ability to learn than your marketing background.

Responsibilities

• Learn marketing funnel concepts across audience, channels, campaigns and conversion
• Map marketing workflows across CRM, lifecycle/email, CMS, analytics and data
• Identify repetitive work and opportunities for automation or AI value
• Turn opportunities into a practical roadmap with clear business outcomes
• Translate complex technical AI capabilities into clear buyer messaging
• Create technical content, demos and campaigns for developers and business audiences
• Run experiments across channels and use data to decide what to scale
• Build workflows connecting marketing platforms via APIs and webhooks
• Use SQL and Python to clean, transform and move marketing data
• Build AI-powered workflows using LLMs, RAG and agentic workflows
• Add human review and safeguards where needed
• Test and evaluate AI systems with real-world examples and clear criteria
• Add monitoring, logging, retries and fallbacks
• Deploy and hand over systems for marketing teams
• Partner with stakeholders to understand problems and define success
• Explain built systems in business terms and demonstrate impact

Skills

Software experience

Data experience

Cloud experience

AI experience

QA experience

Job description

You can build it. Now learn to grow it. Become Singapore's next AI Marketer!

Aleph (formerly Red Alpha Cybersecurity), in partnership with Nas.com, is launching a new AI Marketer programme designed to bring engineering talent into marketing.

We are looking for engineers who want to move closer to customers and growth, and apply their technical skills to build, deploy and own AI-powered marketing systems.

You don't need a marketing background. The role begins with a structured, full-time 12-week training programme that takes you from marketing fundamentals to running campaigns, positioning technical products and building AI workflows that drive growth.

After training, you'll work across marketing, technology and AI: understanding how marketing works, telling clear stories about technical products, and building systems that automate work and deliver measurable business value.

What You'll Do

Understand Customers & Marketing

• Learn how marketing works across the funnel: audience, positioning, channels, campaigns and conversion
• Map how marketing operates across CRM, lifecycle/email, CMS, analytics, advertising platforms and internal data
• Identify repetitive work, bottlenecks and opportunities where automation or AI can create value
• Turn these opportunities into a practical roadmap with clear business outcomes

Tell the Story of Technical Products

• Translate complex technical and AI capabilities into clear messaging that buyers understand
• Create technical content, demos and campaigns for developer and business audiences
• Run experiments across channels and use data to decide what to scale

Build AI & Automation Systems

• Build workflows that connect marketing platforms through APIs, webhooks and scheduled jobs
• Use SQL and Python to clean, transform and move marketing data reliably
• Build AI-powered workflows using LLMs, RAG, tool calling and agentic workflows for research, content, personalisation and reporting
• Add appropriate human review, approval gates and safeguards where needed

Make Systems Reliable

• Test and evaluate AI systems using real-world examples and clear quality criteria
• Add monitoring, logging, error handling, retries and fallbacks
• Deploy, document and hand over systems that marketing teams can confidently use

Work With the Business

• Partner with marketing and business stakeholders to understand problems and define success
• Explain what you've built in business terms and demonstrate its impact

What We're Looking For

• Good if you have some relevant experience in software, data, cloud, AI, QA or solutions engineering, or a related technical role
• No marketing experience required. We'll teach you the marketing through structured training and real campaigns
• Strong problem-solving skills: you can break messy problems into steps, test assumptions and persist through debugging
• Curious about customers and why products win, not just how they're built
• Strong communication and ownership: you can explain technical ideas simply, work with non-technical stakeholders and take a project from idea to something people depend on

We care more about your technical foundation, curiosity about the market and ability to learn than your marketing background.

Nice to Have

Any of the following is a plus, but not required:

• Experience building or shipping AI or LLM-powered applications
• Technical writing, blogging, open-source contributions or speaking at meetups
• Customer-facing experience, e.g. pre-sales, solutions engineering, developer support or product demos
• Exposure to CRM, marketing automation, CMS, analytics or advertising platforms
• Zapier, Make, n8n or other automation tools
• Personal side projects you've launched and tried to grow

Your First 12 Weeks

You'll go through a structured, build-first programme across Aleph and Nas.com:

Weeks 1–4: Marketing Foundations

• Customers and buyer journeys, positioning and messaging, the marketing funnel, channels, campaigns, CRM and lifecycle marketing, and marketing analytics
• Technical storytelling and content, the modern marketing stack, LLM applications for marketing, RAG, evaluation, and how to spot high-value automation opportunities

Weeks 8–10: Build & Deploy

• AI-powered campaigns and workflows, marketing automation engineering, production reliability and deployment

Weeks 11–12: Real-World Deployment

• Identify a high-value marketing problem, build a solution, deploy it, measure the results and hand it over to the business

What Success Looks Like

By Week 5:

You can explain how a marketing team works, map a customer funnel, write clear positioning for a technical product and run a simple campaign

By Week 12:

You have deployed a working AI or automation system that creates measurable value for a real marketing organisation

Beyond the programme:

You own a growing portfolio of campaigns, marketing automations and AI workflows, and the roadmap for what to build next

Why become an AI Marketer?

Marketing is changing from a function that uses technology to one that increasingly builds with it. Companies need people who understand both.

As an AI Marketer, you'll combine your engineering skills with an understanding of customers, campaigns and growth. You won't just build the product. You'll help it reach the people who need it.

"I know how to build it, I understand the customer, and I can now grow it," we want to hear from you.

By submitting your application for this position, you consent to the collection, use, and disclosure of your personal data by ALEPH (formerly RED ALPHA CYBERSECURITY) for the purpose of i) employment facilitation and ii) data and statistical analysis. You may find out more information on the PDPA policies at https://www.redalphacyber.com/privacy-policy.