Technical Product Manager - GBG Location (3960)

Gbg Plc; Kuala Lumpur; Hybrid; MYR 180,000 - 300,000; Full time

Job summary

GBG plc is seeking a Technical Product Manager in Kuala Lumpur to shape Loqate’s address, verification and geospatial products. You will drive discovery with customers, collaborate with engineering to ship AI‑assisted validation, and focus on conversion, accuracy and latency for developers and product teams worldwide.

This hands‑on role requires deep technical depth, cross‑team collaboration, and a hunger to balance innovation with enterprise reliability.

Qualifications

• Experience with address verification, data quality and APIs for enterprise systems.
• Strong empathy for customers and disciplined discovery practices.
• Ability to partner with engineering on core engines and APIs.

Responsibilities

• Own the verification engine end‑to‑end: input, parsing, matching, scoring, output.
• Partner with engineering to optimize latency, throughput and scalability.
• Engage enterprise customers and partners to surface requirements and drive alignment.
• Evolve engine capabilities and productize AI/ML components responsibly.
• Define success via measurable outcomes: accuracy, conversions, deliverability.

Skills

Address intelligence

Contact verification

Fraud/risk

Ecommerce checkout

Logistics/last‑mile

Geospatial

Enterprise data quality

APIs

Job description

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

We’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.

Why this role matters

Loqatepowers some of the world’s highest‑volume, mostbusiness-criticalverification workflowsfrom 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, andvalidatelocation and contact data in milliseconds, at global scale, with“enterprisegrade”reliability.

We’relooking for a technical product manager who thrives in this space,someone who can sit comfortably between customers, engineers,and 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 for Loqate’s location 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

You’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 trust.

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 confidence.

Whatyou’lldo

1) Own the verification engine (not just features)Be accountable for the core verification pipeline: input,parsing,normalisation,matching,scoring,output.Understand and evolvetherules-based and ML-driven components, including fallback strategies and confidence thresholds.Drive 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 scalability. Translate complex technical constraints into clear product choices and trade‑offs.

3) Lead“enterprise‑level”customer engagement

Act as a credible technical counterpart for enterprise customersandpartners. Participate in technicaldiscussionsdiscovering:

• 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, cost,andscalability over time. Establish 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 production‑ready engine components, includingaddress parsing and normalisation modelsandfuzzy matching and entity resolution.Ensure strong evaluation practicestoincludeoffline benchmarking vs baselines.Balance innovation with enterprise trust and predictability.

6) Drive outcomes, not output

Define success in terms of measurable improvements, not shipped features:

• Higher first‑timematchrates

• Faster response times

• Bettercustomerdownstream conversion and deliverability(customervalue)

• Reduced customer friction and support loadforinternal teams

Maintain a clear, evidence‑based roadmap focused on engine capabilities and leverage.

What success looks likein 30–60–90 days?

• 30:You’vespoken with 12–15 customers/partners; mapped top problems and potential goals.

• 60: Opportunity solution trees in place; 2–3 problem betsvalidatedwith prototypes or data; OKRs and goal(s) agreed.

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

Whatyou’llbring(person specification)

• 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 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 API‑driven, high‑throughput, low‑latency 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 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 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.