Technical Product Manager

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 R

oleWe're hiring a Technical Product Manager in Kuala Lumpur to shape Loqate's next-gen addressing, verification and geospatial products. You'll lead 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/logistics preferred. Apply to join an empowered team building at global sca

le.
Why this role matt

ers Loqate powers some of the world's highest‑volume, most business-critical verification workflows from global ecommerce checkouts to enterprise onboarding, fraud prevention, logistics, and payments. At the heart of this sits our verification engine: the systems that parse, normalise, match, score, enrich, and validate location and contact data in milliseconds, at global scale, with enterprise grade reliabil

ity.We're looking for a technical product manager who thrives in this space, someone who can sit comfortably between customers, engineers, and professional services who deeply understands how verification engines work, and can drive meaningful improvements in accuracy, latency, throughput, and resilie

nce.This role is about building the engine, not just the experie

nce.
The opportu

nity You will own the core verification engine for Loqate's location products including address capture, validation, parsing, normalisation, geocoding, and confidence scoring with a mandat

• e to:Improve performance, accuracy, and
• scaleEvolve platform and engine capabil
• itiesSupport enterprise customers with complex technical
• needsProductise AI and ML innovations safely and pragmati

callyYou'll work as part of an empowered product trio (PM, Engineering Manager, Tech Lead), but this role demands real technical depth: you will actively participate in architectural discussions, trade‑off 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 t

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

ence.
What you

ll do 1) Own the verification engine (not just features) Be accountable for the core verification pipeline: input, parsing, normalisation, matching, scoring, output. Understand and evolve the rules-based and ML-driven components, including fallback strategies and confidence thresholds. Drive improvemen

• ts in:Accuracy and coverage by country and data
• sourcePrecision/recall trad
• e-offsDeterminism, explainability, and auditability for enterprise use

cases
2) Act as a technical product partner to engi

neeringEngage deeply with engineering on system design and performance, inc

• luding:Response times (p95/p99 l
• atency)Throughput and conc
• urrencyCaching strategies and data l
• ocalityModel evaluation and runtim
• e costsReliability, resilience, and bulk pro
• cessingDeployment flexibility and ease of

set upHelp frame engineering decisions in customer and business terms, balancing performance, cost, and scalability. Translate complex technical constraints into clear product choices and trad

e‑offs.
3) Lead enterprise‑level customer en

gagementAct as a credible technical counterpart for enterprise customers and partners. Participate in technical discussions c

• overing:API behaviour and confi
• gurationLatency and performance expectations, including cache
• settingsVerification logic and edge cases, showing our competitive differe
• ntiationData quality, confidence scoring, and explai

nabilityBring real customer problems back into discovery, prioritisation, and engine ev

olution.
4) Optimise and evolve the produ

ct engineApply prior experience optimising a product engine to improve speed, quality, cost, and scalability over time. Establish engine health metrics and dashboards, i

• ncluding:Latency distributions per dataset/country/operat
• ing mode.Use Product Ops insights to assess accuracy and produc
• t qualityFailure modes (assessed from support cases and customer
• insights)Cost per transaction/d

eploymentRun controlled experiments and rollouts to validate engine improvements before general availability

releases.
5) Productise AI and data science r

esponsiblyPartner with Product Ops to turn ML capabilities into production‑ready engine components, including address parsing and normalisation models and fuzzy matching and entity resolution. Ensure strong evaluation practices to include offline benchmarking vs baselines. Balance innovation with enterprise trust and predi

ctability.
6) Drive outcomes,

not outputDefine success in terms of measurable improvements, not shippe

• d features:Higher first‑time
• match ratesFaster res
• ponse timesBetter customer downstream conversion and deliverability (cust
• omer value)Reduced customer friction and support load for int

ernal teamsMaintain a clear, evidence‑based roadmap focused on engine capabilities an

d leverage.
What y

• ou'll bring Product management experience in one or more of: address intelligence, contact verification, fraud/risk, ecommerce checkout, logistics/last-mile, geospatial, or enterprise data quality (APIs
• /platforms).Deep customer empathy and a track record of continuous discovery (interviews, usability, prototyping, hypothes
• is testing).Proven experience as a Technical Product Manager or Product Manager working very close to core systems
• or engines.Strong understanding of API‑driven, high‑throughput, low‑late
• ncy systems.Demonstrated ability to lead engineering teams through outcomes, not feature mandates and excellent prioritisation and sequencing instincts and me
• thodologies.Experience working with enterprise customers and managing complex technical r
• equirements.Platform mindset: API and SDK lifecycle, versioning and deprecation, self-serve docs/samples, observab
• ility, SLAs.Familiarity with AI/ML in production: model evaluation, offline/online testing, data governance, and responsible AI con
• siderations.Effective stakeholder management: aligning Sales, Customer facing teams, Marketing, Legal/Compliance, and reg
• ional 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 commit. Thin slices, shipped 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 an

d developers.
Prac

• tical details Location: Kuala Lumpur, Malaysia (hybrid). Some travel in APAC and occasional trips to the UK/US for team collaboration and custo
• mer discovery.Reporting line: Director of Product
• (Loqate, GBG).Collaboration: Engineering, Data Science, UX, Technical Writing, Partner/Alliances, Sales, CS, Support, Leg

al/Compliance.

• 
  Why join GBG Mission-critical products used by leading global brands at
• massive scale.A platform mandate: build once, power ma
• ny 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 and craftsmanship and gives you the autonomy to do the best work

of your career!

To find out moreAs 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 in

terview process.
To chat to the Talent Attraction team and find out more about our benefits and why we're a great place to work, drop an email to [Confidential Information] and we'll be in touch. You can also find out more about careers at GBG and check out our current opportunities at gb