Senior Product Manager (AI)

BukuWarung; Jakarta Pusat; On-site; IDR 350,000,000 - 650,000,000; Full time

Job summary

BukuWarung is seeking a senior PM to lead AI-driven initiatives across merchant-facing functions in Indonesia. You will define the roadmap, assess when to automate versus augment, and write precise specs for engineering to execute.

You’ll collaborate with function leads to translate operational pain into shippable products, with clear success metrics and governance for failures not to automate. You will manage 1–2 PMs embedded in key functions and drive measurable cost and quality improvements

Qualifications

• 6–8 years of PM experience with hands-on AI/agentic product work.
• Ability to connect product initiatives to P&L or ops costs.
• Comfort managing PMs and cross-functional roadmaps.
• Technical fluency to discuss system design trade-offs.
• Bias toward measurable outcomes over shipped features.

Responsibilities

• Own the roadmap for AI-driven initiatives across all merchant facing functions.
• Identify which workflows are good candidates for agentic automation vs augmentation vs no automation.
• Write specs precise enough for engineering to build against and partner with them.
• Stand up the measurement for each initiative before it ships: cost movement and quality metrics.
• Manage and grow 1–2 PMs embedded with functions.
• Work directly with function leads as primary stakeholders, translating pain into a shippable product.
• Know when to avoid automation and define escalation/human-in-the-loop requirements.

Skills

PM experience 6–8y

AI/agentic product

Cost-per-ticket mindset

Cross-functional leadership

Technical fluency

Measurable outcomes

Job description

About the role

BukuWarung serves millions of merchants across Indonesia. Every merchant interaction — sales, onboarding, support, collections, servicing — has a lot of human interactions. This role owns the mandate to change that: use AI, including our internal agentic platform, to make our customer-facing functions measurably cheaper to run and measurably delighting for the merchant, at the same time.

This is not a platform-engineering role and not a research role. It’s a business-outcomes role that happens to use AI as its primary lever. You will spend more time identifying where an agentic workflow changes a function’s cost or quality curve, writing the spec, and partnering with engineering to ship it, than you will spend configuring the tooling yourself — though you should be comfortable doing the latter when it’s the fastest path to a working prototype.

What you’ll do

• Own the roadmap for AI-driven initiatives across all merchant facing functions, prioritized by a combination of cost/efficiency and speed/quality of the customer-facing experience.

• Identify which workflows in these functions are good candidates for agentic automation vs. augmentation vs. no automation at all, and make that call explicitly rather than defaulting to “automate everything.”

• Write specs precise enough for engineering to build against, and partner with them

• Stand up the measurement for each initiative before it ships: what cost line moves, what quality/SLA metric moves, and by how much, not just that “AI was used.

• Manage and grow 1–2 PMs, each likely embedded closer to a specific function, while

• Work directly with function leads as the primary stakeholders, you are translating their operational pain into a shippable product, not building in isolation.

• Know when an agent should not make the call, flag failure modes, escalation paths, and human-in-the-loop requirements before they become incidents, not after.

What we’re looking for

• 6–8 years of PM experience , with hands-on AI/agentic product experience as a must-have — you’ve shipped something where an agent or LLM-driven workflow made a real decision or took a real action, not just called an API and rendered a response.

• Demonstrated ability to connect a product initiative to a P&L or ops line — you think in cost-per-ticket, cost-per-transaction, resolution time, conversion, not just feature velocity.

• Comfort managing PMs and holding a cross-functional roadmap, even if this is your first time doing so formally.

• Enough technical fluency to partner credibly with engineering on system design trade-offs for agentic workflows — data contracts, failure/fallback behavior, evaluation, guardrails — without needing to write the code yourself.

• A bias toward measurable outcomes over shipped features: you’d rather ship one workflow that provably cuts cost-per-ticket 20% than five that “used AI.”

What will make you a strong fit

• Prior experience in a company where you personally had to build the case for automating a function you didn’t own the P&L for — i.e., you’ve had to sell ops/sales/support leadership on a change, not just build it.

• Experience in emerging markets, fintech, or high-volume/low-ARPU businesses, where

• A specific, defensible point of view on where AI agents should not be trusted with a decision, this is a role that will need to say no to automation as often as it says yes.