Technical Product Manager GBG Location 3960

Enabling safe and rewarding digital lives for genuine people everywhere

We make it our mission to ensure more genuine people have digital access to opportunities and businesses have access to more genuine people. Our technology draws on diverse and reliable data to create a single point of truth for identity and address verification.

With over 30 years of experience behind us our team and technology are focused on enabling safe and rewarding digital lives for everyone. Regardless of age location or background genuine people everywhere should be able to digitally prove who they are and where they live.

The Role

Werehiring aTechnicalProduct Manager in Kuala Lumpur to shapeLoqatesnext-gen addressing verification and geospatial customer discovery partner with engineering to ship AI-assisted validation capabilities and drive measurable outcomes (conversion accuracy and latency) for developers and product teams worldwide. Experience in verification/data-quality/ecommerce/logisticspreferred. Apply to join an empowered team building at global scale.

Why this role matters

Loqatepowers some of the worlds highestvolume mostbusiness-criticalverification workflowsfrom global ecommerce checkouts to enterprise onboarding fraud preventionlogistics and the heart of this sits our verification engine: the systems that parse normalise match score enrich andvalidatelocation and contact data in milliseconds at global scale withenterprisegradereliability.

Werelooking for a technical product manager who thrives in this spacesomeone who can sit comfortably between customers engineersand professional serviceswhodeeply understands how verification engines work and can drive meaningful improvements in accuracy latency throughput and resilience.

This role is about building the engine not just the experience.

The opportunity

You will own the core verification engine forLoqateslocation products including address capture validation parsing normalisation geocoding and confidence scoring with a mandate to:

• Improve performance accuracy and scale

• Evolve platform and engine capabilities

• Support enterprise customers with complex technical needs

• Productise AI and ML innovations safely and pragmatically

Youllwork as part of an empowered product trio (PM Engineering Manager Tech Lead) but this role demandsreal technicaldepth: you will activelyparticipatein architectural discussions tradeoff decisions and engine optimisation work.

Your remit will include identification sizing and delivery of the most valuable customer problems shape differentiated solutions with engineering and data science and ship measurable outcomes that improve conversion deliverability and trust.

This is a hands-on product role: discovery with customers shaping product strategy collaborating deeply with engineering and driving the dots across platform capabilities ML/AI models SDKs APIs tools and docs so developers and product teams can build with confidence.

Whatyoulldo

1) Own the verification engine (not just features)Be accountable for the core verification pipeline: and evolvetherules-based and ML-driven components including fallback strategies and confidence improvements in:

• Accuracy and coverage by country and data source

• Precision/recall trade-offs

• Determinism explainability and auditability for enterprise use cases

2) Act as a technical product partner to engineering

Engage deeply with engineering on system design and performance including:

• Response times (p95/p99 latency)

• Throughput and concurrency

• Caching strategies and data locality

• Model evaluation and runtime costs

• Reliability resilience andbulk processing

• Deployment flexibility and easeofset up

Help frame engineering decisions in customer and business terms balancing performance cost and complex technical constraints into clear product choices and tradeoffs.

3) Leadenterpriselevelcustomer engagement

Act as a credible technical counterpart for enterprise in technicaldiscussionscovering:

• API behaviour andconfiguration

• Latency and performance expectations including cache settings

• Verification logic and edge cases showing our competitive differentiation

• Data quality confidence scoring and explainability

Bring real customer problems back into discovery prioritisation and engine evolution.

4) Optimise and evolvetheproduct engine

Apply prior experience optimising a product enginetoimprovespeed quality costandscalability over engine health metrics and dashboards including:

• Latency distributionsper dataset/country/operating mode.

• UseProduct Ops insights to assessaccuracy andproduct quality

• Failure modes(assessed fromsupport casesand customer insights)

• Cost per transaction/deployment

Run controlled experiments and rollouts tovalidateengine improvements beforegeneral availability releases.

5) Productise AI and data science responsibly

Partner withProduct Opsto turn ML capabilities into productionready engine components includingaddress parsing and normalisation modelsandfuzzy matching and entity strong evaluation practicestoincludeoffline benchmarking vs innovation with enterprise trust and predictability.

6) Drive outcomes not output

Define success in terms of measurable improvements not shipped features:

• Higher firsttimematchrates

• Faster response times

• Bettercustomerdownstream conversion and deliverability(customervalue)

• Reduced customer friction and support loadforinternal teams

Maintain a clear evidencebased roadmap focused on engine capabilities and leverage.

What success looks likein 306090 days

• 30:Youvespoken with 1215 customers/partners; mapped top problems and potential goals.

• 60: Opportunity solution trees in place; 23 problem betsvalidatedwith prototypes or data; OKRs and goal(s) agreed.

• 90: Firstthin-slicein production improving a key metric and/or business outcome!

Whatyoullbring(person specification)

• Product management experience in one or more of: address intelligence contact verification fraud/risk ecommerce checkoutlogistics/last-mile geospatial or enterprise data quality (APIs/platforms).

• Deep customer empathy anda track recordof continuous discovery (interviews usability prototyping hypothesis testing).

• Proven experience as a Technical Product Manager or Product Manager workingvery closeto core systems or engines.

• Strong understanding of APIdriven highthroughput lowlatency systems.

• Demonstrated ability to lead engineering teams through outcomes not feature mandates and excellent prioritisation and sequencing instincts and methodologies.

• Experience working with enterprise customers and managing complex technical requirements.

• Platform mindset: API and SDK lifecycle versioning and deprecation self-serve docs/samples observability SLAs.

• Familiarity with AI/ML in production: model evaluation offline/online testing data governance and responsible AI considerations.

• Effective stakeholder management: aligning Sales Customer facing teams Marketing Legal/Compliance and regional teams.

• Excellent communication in English; comfortable working across UK/EU/US time zones.

• Bonus: Experience with postal/address standards mapping vendors or payments/risk ecosystems.

How we work

Empowered product teams: PM Design Engineering own outcomes not task lists. Dual-track discovery & delivery: We de-risk value usability feasibility and viability before we slicesshipped often: Maximise learning velocity and minimise cycle time. Clear strategy & measurable bets: OKRs and decision docs over lengthy PRDs. Customer in the room: Frequent exposure hours with real users and developers.

Practical details

• Location: Kuala Lumpur Malaysia (hybrid). Some travel in APAC and occasional trips to the UK/US for team collaboration and customer discovery.

• Reporting line: Director of Product (Loqate GBG).

• Collaboration: Engineering Data Science UX Technical Writing Partner/Alliances Sales CS Support Legal/Compliance.

Why join GBG

• Mission-critical products used by leading global brands at massive scale.

• A platform mandate: build once power many experiences.

• A chance to shape the frontier of verification and geospatial AI with real-world measurable impact on trust conversion and delivery.

• A culture that values curiosity andcraftsmanshipand gives you the autonomy to do the best work of your career!

To find out more

As an equal opportunity employer we are dedicated to creating a diverse and inclusive workplace where everyone feels valued and empowered. Please inform your GBG Talent Attraction Partner if you require any reasonable adjustments to the interview process.

To chat to the Talent Attraction team and find out more about our benefits and why were a great place to work drop an email to and well be in touch. You can also find out more about careers at GBG and check out our current opportunities at Experience:

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