Description review
Technical Product Manager - AI Finance App
Bjak · Ireland · back to the listing
HR standards
54/100
needs work
Title ↔ description
81/100
solid
Reads as
Product Manager
100% confident
What this role officially is
ICT product manager — ESCO, the EU occupation classification
ICT product managers analyse and define current and target status for ICT products, services or solutions. They estimate the cost effectiveness, points of risk, opportunities, strengths and weaknesses of products or services provided. ICT product managers create structured plans and establish time scales and milestones, ensuring optimisation of activities and resources.
Also known as: IT product manager, IT products manager, ICT product managers, ICT products manager, ICT products managers
How others title the same work
Large employers
- Staff Product Manager, Search Experiences Mozilla
- Missionforce - Senior Product Manager, Agentforce Public Sector Salesforce
- Product Lead, Connect Stripe
- Product Manager - Compliance, Bridge Stripe
- Product Manager, Ecosystem Risk Stripe
Startups
- Technical Product Manager Careforce
- Product Manager Agave
- Product Manager AlgoTest
- Product Manager Aqua
- Product Manager Artisan
What the listing never says
- 21 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No section describes what the person would actually do. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
About KIRA
Our mission is to make money smart, reliable and within reach for everyone.
In 2019, we built the first mobile-first, insurance platform, enabling insurance to be accessible online by millions in the region. Today, it's the leading insurance platform in Southeast Asia.
Today, we are expanding ways to help people in Asia and it includes spending, saving, investing, exchanging, travelling, and more. Our objective is to build tools that will help people get more from their money and at ease and self reliance, become an expert. We believe AI will help us achieve this in our generation.
We are looking for the most talented and driven people we can find. We are looking for people who work for their passion, not counting hours. Who loves building great next-generation products, not status quo. Who cares about redefining how everyone around us can get the best financial applications, not for an exclusive few.
We have teams working around the world, with over 20 nationalities and growing from our offices and remotely. Join us and build a better future.
If you're this person, we'd love to talk to you.
What You'll Own
• Own a vertical end-to-end - outcomes and metrics, a backlog prioritised by value / risk / dependency / strategic priority, acceptance criteria crisp enough to build and test against.
• Shape the technical design with engineering - system boundaries, money-movement correctness (idempotency, ledgering, reconciliation), third-party-rail reliance and rail-down behaviour, failure/retry/refund paths, security, latency, scalability, recovery.
• Make hard trade-offs across correctness, speed, cost, reliability and UX - and defend them to an engineering, compliance or ops lead who pushes back.
• Treat regulated constraints as first-class product inputs - licensing scope, CDD/KYC and limits, sanctions/PEP screening, transaction monitoring, data residency and privacy. Know which are hard launch gates and which are forward-readiness.
• Apply AI where it earns its place - define what it's allowed to decide, where a human stays in the loop, how it's evaluated, and what it does when unsure. Every AI-surfaced number traces back to a real record.
• Ship against external gates - build feature-complete behind flags; go live per rail as each partner and regulatory gate clears.
• Work across Engineering, Design, Compliance, Operations, Treasury and Finance/Reconciliation
What We're Looking For
• Product leadership - significant experience owning a complex technical product end-to-end; strong judgement and decisiveness under ambiguity; ability to balance ambition against technical, regulatory and operational reality; can hold their own with senior engineers.
• Technical foundation - solid system design (boundaries, datastores, queues/workflows, APIs, failure modes, consistency under concurrency); comfort reading, reviewing and challenging design docs; can sketch an architecture and a sequence. No production code, but technical enough that engineers don't have to simplify.
• Domain - experience in a regulated / high-consequence domain (payments, banking, remittance, insurance, …) or demonstrable fast-ramp ability; understands why money movement is different (correctness over convenience, irreversible states, partners you don't control).
• AI judgement - hands-on with LLM-based products; can frame a feature as eval-able (offline, online, human feedback); realistic on hallucination/drift/data gaps, including data-blocked vs model-blocked and when a model must not be in the loop at all.
• Nice to have - engineer or highly-technical-PM background · zero-to-one · shipped AI-heavy consumer products · defined eval metrics for ML/LLM systems · AI UX + failure-handling intuition · SEA market experience.
Outcome
• Clear vertical strategy and legible roadmap
• Ships fast and clears the gates that actually block launch
• Money is correct and users are never misled about the state of their funds
• AI features are valuable, predictable and trusted
• Trade-offs made deliberately under uncertainty and hold up when challenged
• Engineering, design, compliance, and operations are aligned with minimal friction
Location
This is a remote role. We hire globally and work across multiple countries and time zones.
Candidates should be comfortable working effectively in a distributed, fast-moving international team and collaborating with colleagues across different locations.
Language
English is our main working language across global teams. Strong English communication is required.
Interview Process
Our process is designed to move fast:
• Online assessment or practical task
• Technical interview
• CEO / final round
For strong candidates, we aim to complete the process and make an offer within 1 week from the start of the interview process. Candidates who complete assessments quickly will be prioritized.
Originally posted on Himalayas
Our mission is to make money smart, reliable and within reach for everyone.
In 2019, we built the first mobile-first, insurance platform, enabling insurance to be accessible online by millions in the region. Today, it's the leading insurance platform in Southeast Asia.
Today, we are expanding ways to help people in Asia and it includes spending, saving, investing, exchanging, travelling, and more. Our objective is to build tools that will help people get more from their money and at ease and self reliance, become an expert. We believe AI will help us achieve this in our generation.
We are looking for the most talented and driven people we can find. We are looking for people who work for their passion, not counting hours. Who loves building great next-generation products, not status quo. Who cares about redefining how everyone around us can get the best financial applications, not for an exclusive few.
We have teams working around the world, with over 20 nationalities and growing from our offices and remotely. Join us and build a better future.
If you're this person, we'd love to talk to you.
What You'll Own
• Own a vertical end-to-end - outcomes and metrics, a backlog prioritised by value / risk / dependency / strategic priority, acceptance criteria crisp enough to build and test against.
• Shape the technical design with engineering - system boundaries, money-movement correctness (idempotency, ledgering, reconciliation), third-party-rail reliance and rail-down behaviour, failure/retry/refund paths, security, latency, scalability, recovery.
• Make hard trade-offs across correctness, speed, cost, reliability and UX - and defend them to an engineering, compliance or ops lead who pushes back.
• Treat regulated constraints as first-class product inputs - licensing scope, CDD/KYC and limits, sanctions/PEP screening, transaction monitoring, data residency and privacy. Know which are hard launch gates and which are forward-readiness.
• Apply AI where it earns its place - define what it's allowed to decide, where a human stays in the loop, how it's evaluated, and what it does when unsure. Every AI-surfaced number traces back to a real record.
• Ship against external gates - build feature-complete behind flags; go live per rail as each partner and regulatory gate clears.
• Work across Engineering, Design, Compliance, Operations, Treasury and Finance/Reconciliation
What We're Looking For
• Product leadership - significant experience owning a complex technical product end-to-end; strong judgement and decisiveness under ambiguity; ability to balance ambition against technical, regulatory and operational reality; can hold their own with senior engineers.
• Technical foundation - solid system design (boundaries, datastores, queues/workflows, APIs, failure modes, consistency under concurrency); comfort reading, reviewing and challenging design docs; can sketch an architecture and a sequence. No production code, but technical enough that engineers don't have to simplify.
• Domain - experience in a regulated / high-consequence domain (payments, banking, remittance, insurance, …) or demonstrable fast-ramp ability; understands why money movement is different (correctness over convenience, irreversible states, partners you don't control).
• AI judgement - hands-on with LLM-based products; can frame a feature as eval-able (offline, online, human feedback); realistic on hallucination/drift/data gaps, including data-blocked vs model-blocked and when a model must not be in the loop at all.
• Nice to have - engineer or highly-technical-PM background · zero-to-one · shipped AI-heavy consumer products · defined eval metrics for ML/LLM systems · AI UX + failure-handling intuition · SEA market experience.
Outcome
• Clear vertical strategy and legible roadmap
• Ships fast and clears the gates that actually block launch
• Money is correct and users are never misled about the state of their funds
• AI features are valuable, predictable and trusted
• Trade-offs made deliberately under uncertainty and hold up when challenged
• Engineering, design, compliance, and operations are aligned with minimal friction
Location
This is a remote role. We hire globally and work across multiple countries and time zones.
Candidates should be comfortable working effectively in a distributed, fast-moving international team and collaborating with colleagues across different locations.
Language
English is our main working language across global teams. Strong English communication is required.
Interview Process
Our process is designed to move fast:
• Online assessment or practical task
• Technical interview
• CEO / final round
For strong candidates, we aim to complete the process and make an offer within 1 week from the start of the interview process. Candidates who complete assessments quickly will be prioritized.
Originally posted on Himalayas