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Senior Product Engineer

Job in Johannesburg, 2000, South Africa
Listing for: Jem
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Systems Engineer, AI Engineer
Job Description & How to Apply Below

Senior Product Engineer

Join to apply for the Senior Product Engineer role at Jem

Johannesburg-Based | Scale-Up | Full-time Role | Tech Machine | Hiring Manager:
Thamsanqa Moyo, Kaeleigh Stroud, Richard O'Brien

Jem is hiring two Product Engineers to build AI-native systems, lead technical work streams with enterprise customers, and ship production features that directly impact our platform and customers.

Jem is a fast-growing HR and financial wellness scale‑up building tools for frontline teams. We support deskless workers across South Africa with payroll, HR, and benefits products, delivered through modern platforms and AI‑powered conversational systems.

This is a forward‑deployed product engineering role. You will build AI agents and platform systems, while also working directly with enterprise customers during technical discovery and implementation. This role combines product engineering, platform ownership, and client‑facing technical leadership.

  • Build and operate AI-native product systems that work reliably at scale.
  • Lead technical implementation with enterprise customers and turn real-world problems into shipped product.
What Success Looks Like
  • AI agents and conversational systems are live, reliable, and improving over time
  • Enterprise implementations run smoothly and convert into long‑term customer partnerships
  • Features you own move core product and customer success metrics
  • Platform systems are stable, observable, and secure
  • Junior engineers grow through your technical mentorship
What You’ll Do

AI‑Native Product Development

  • Build and orchestrate multi‑agent systems using modern agent frameworks
  • Develop conversational and voice‑based AI agents for Whats App and related channels
  • Implement MCP and agent‑to‑agent communication patterns
  • Use AI coding agents to accelerate delivery and experimentation
  • Continuously improve agent performance through prompt design and workflow optimisation
  • Design and maintain Postgre

    SQL schemas and production data models
  • Build and operate event‑driven systems and integrations
  • Own system reliability, performance, and observability
  • Build and maintain integrations with enterprise platforms and middleware tools
  • Lead technical discovery and implementation sprints with enterprise customers
  • Run technical scoping sessions with client IT teams
  • Design integration architectures across payroll, ERP, and internal systems
  • Present technical solutions, timelines, and progress to client stakeholders
  • Build long‑term technical relationships with customer teams

Product Ownership & Team Contribution

  • Drive features from problem definition through release and iteration
  • Own performance and business outcomes for your features
  • Conduct customer interviews and validation sessions
  • Mentor interns and junior engineers in AI-native development practices
  • Have built AI agents or conversational systems in production environments
  • Are comfortable owning backend systems and product features end to end
  • Enjoy working directly with enterprise customers and their technical teams
  • Care about system quality, reliability, and real‑world impact
  • Are excited by fast‑moving, high‑ownership environments
  • Enjoy mentoring others and raising the technical bar
  • Hands‑on experience with agent frameworks and AI-native systems
  • Experience building conversational or voice‑based AI products
  • Strong prompt engineering and LLM integration patterns
  • Strong Postgre

    SQL experience and backend development skills
  • Experience with event‑driven architectures and system integrations
  • Ability to lead technical discussions with enterprise IT teams
  • Professional experience in Python and/or Type Script
  • Comfort travelling to client sites for implementation work
What You Can Expect from Us
  • Hybrid work environment with a 3‑day office policy in the Cape Town/Johannesburg office.
  • Frontline exposure to building real AI products at scale
  • Direct work with enterprise customers and complex real‑world systems
  • High ownership, fast learning, and visible impact
  • Great Benefits (lunch 4 times a week, medical aid contribution, retirement annuity contribution, etc.) and 22 days of annual leave.
Seniority level
  • Mid‑Senior level
Employment type
  • Full-time
Job function
  • Engineering and Information Technology

Referrals increase your chances of interviewing at Jem by 2x

Johannesburg, Gauteng, South Africa

#J-18808-Ljbffr
Position Requirements
10+ Years work experience
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