Kulu
Kulu

Senior Product Platform Engineer @ High Growth AI Startup - Rp 30m-40m/month (Contract-to-Hire Opportunity)

Jakarta, Indonesia (hybrid)
Employee
Engineering

Who are we?

Kulu is an AI startup, backed by some of the world’s leading investors including Antler (backers of Lovable and Airalo) and Redbus (backers of Cleo). We are building AI agents for software companies that run video calls with their users to get them onboarded. Imagine joining a Zoom call with an AI to help you get set up using a new piece of software - just share your screen and speak with the AI as it guides you through configuration.

Kulu is led by a rockstar founding team: Ed (CEO) - 1st PM at Teya ($1b+ valuation in 2 years) and one previous exit. Rio (CTO) - PhD in AI, specialising in computer vision. Oscar (CCO) - Former Head of Sales at multiple VC-backed companies.

Kulu has two offices: London - Commercial Office, and Bali - Product & Engineering Office. The founding team works from both locations.

The role is based in Bali and we can offer a relocation package for the right candidate. The role will start as a contractor with a view to it moving full-time depending on performance.

Why this role exists

We are AI-first SaaS product where product quality, UX polish, and AI behaviour are tightly coupled. Our core engineering team is focused on shipping critical user-facing functionality and AI capabilities.

What’s missing is clear ownership of the systems that determine whether something is safe to ship - analytics, internal tooling, product quality gates, and AI evaluation infrastructure.

This role exists to own that entire “release readiness” layer end-to-end, enabling the team to move fast without breaking product quality or AI experience.

Tasks

You will be the single owner of our product platform and release-quality systems.

  • Product analytics & instrumentation
  • Define and maintain a consistent event schema
  • Implement analytics across frontend, backend, and AI agents
  • Build internal dashboards for funnels, usage, drop-offs, and failures
  • Internal & admin tooling
  • Build dashboards and tools for debugging sessions and inspecting AI behaviour
  • Replace ad-hoc scripts and database queries with reliable internal systems
  • Product quality & release systems
  • Own feature flags, rollouts, and release checks
  • Define what is “shippable” for non-trivial changes
  • Act as a release gate owner, with authority to block unsafe releases
  • AI quality & evaluation
  • Version and manage prompts and AI configuration changes
  • Define when AI evals are required before shipping
  • Build and maintain AI evaluation pipelines and make results visible over time
  • Platform health & evolution
  • Define system-level health and reliability metrics
  • Establish expected variance vs unacceptable deviation for AI systemsReduce platform-level debt that slows shipping and decision-making

Requirements

Required technical stack

  • Strong full-stack fundamentals
  • Testing & CI: pytest; vitest; Playwright (or equivalent) for E2E and behavioural testing, GitHub CI/CD gate design
  • Data & Systems: Distributed and asynchronous systems, PostgreSQL
  • Cloud & Security: AWS logging and metrics (e.g. CloudWatch), Baseline application security testing, Familiarity with common API, auth, and WebSocket risks, OWASP ZAP or equivalent tooling
  • AI / Agent systems experience:
  • Experience testing AI-, agent-, or other non-deterministic systems
  • Familiarity with behavioural regression detection (not brittle assertions)
  • Understanding why deterministic testing breaks down — and how to design around it
  • Experience with LLM or agent observability tools (e.g. LangSmith) is a strong plus
  • Experience with vision or multimodal systems is a strong plus
  • Experience with real-time systems (voice, streaming, WebSocket) is a strong plus

What we’re looking for

  • At least 4 years of experience in platform, quality, or reliability-focused roles
  • Strong system-level thinking (not just test scripts)
  • Experience testing AI or agent-based systems
  • Understands why deterministic testing is hard — and how to work around it
  • Comfortable turning vague problems into clear, shipped systems
  • Willing to make and defend platform-level decisions
  • Strong product judgement and pragmatism

Nice to have

  • Experience designing internal platforms used by other engineers
  • Exposure to ISO / SOC / enterprise readiness environments

Benefits

We offer competitive salary, high autonomy and try to accommodate everything you need to succeed in your role. In return, we expect dedication, sustained effort, and passion. We’re on the mission of our lifetimes and every person on the team is a crucial part of our success.

If you’re looking for an easy 9-5 job, we are not for you. If you want to build a generation-defining company and a product that will be used by millions of people every day, then please apply.

Our Operating Principles:

  • Always Be Hustlin’ – Move fast, outwork the competition, stay scrappy.
  • Relentlessly Curious - Reason from first principles, question assumptions and explore better ways.
  • Super Pumped – Show relentless enthusiasm and drive.
  • Make Magic – Create experiences that delight customers.
  • Obsess Over the Details – Perfect the product experience, no matter how small.
  • Big Bold Bets – Think big, take risks and go after huge, transformative opportunities.
  • Ownership is Key - Own the outcome, not just the task.
Updated: 5 minutes ago
Job ID: 15635917
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Kulu

1-10 employees
Technology, Information and Internet

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  1. Senior Product Platform Engineer @ High Growth AI Startup - Rp 30m-40m/month (Contract-to-Hire Opportunity)