Senior Product Manager - 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.

 

About the team and role

We’re hiring a 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 scale.

Why this role matters

At Loqate, we help the world’s most ambitious brands verify, locate, and connect with their customers accurately, instantly, globally. Our products power address capture, email & phone validation, bank verification, trust signals, store finder & mapping, and enterprise data quality for the moments that matter: checkout, onboarding, fraud prevention, and delivery.

We’re building the next generation of verification and geospatial intelligence using our API-first SaaS platforms, deploying AI-assisted validation and entity resolution, and reliability on a global scale. If you’re a Product Manager who thrives on customer discovery, data-driven decisions, and leading empowered engineering teams to real outcomes, this is your next big canvas!

The opportunity

You will own a problem space within GBG’s Location Business spanning address intelligence, contact verification, and AI-driven data quality for customers across ecommerce, logistics, fintech, marketplaces, and enterprise software. 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.

What you will do

• Customer discovery & problem framing: Lead continuous discovery: qualitative interviews, JTBD mapping, shadowing, data deep-dives, and opportunity assessment across merchants, partners, and developers. Maintain living opportunity solution trees and backlogs; validate with prototypes and lightweight experiments before we commit. Articulate crisp problem statements and success metrics that guide engineering trade-offs.
• Platform & AI product leadership: Evolve our verification products (address, email, phone, bank) with an API-first SaaS mindset. Partner with our data science team to productise AI/ML capabilities including: Address parsing with ML and rules, embeddings and fuzzy matching for entity resolution, Geocoding quality improvements and confidence scoring, AI-assisted data cleaning and enrichment, deployment flexibility and model performance dashboards. Build the right guardrails: evaluation protocols, bias & fairness checks, data governance, and privacy-by-design across GDPR/PDPA/ISO 27001/SOC 2 contexts.
• Direct empowered engineering teams: Work with your Engineering Manager and Tech Lead as a triad; align on high-integrity commitments after discovery has validated the solution. Translate outcomes into thin-slice deliveries and clearly defined problem spaces (not feature lists). Maintain a rational, evidence-based roadmap aligned to strategy and OKRs and goals, managing dependencies across data pipelines, infrastructure, and customer-facing APIs/SDKs.
• Data-driven decisions & learning loops: Champion product decisions via precision/metrics, latency, coverage, conversion, NPS plus other customer and product metrics. Run A/B tests and experiments; establish model and quality success. Publish decision artefacts and post-launch evaluations; socialise insights with GTM, Support, and Customer facing teams.
• Market & partner ecosystem: Track competitor moves, postal authority changes, data provider SLAs, and regulatory shifts; convert into strategy and backlog updates. Co-create with strategic partners (commerce platforms, last‑mile/logistics, payment/fraud, and data providers) to extend platform reach and value.

What success looks like in 30–60–90 days?

• 30: You’ve spoken with 12–15 customers/partners; mapped top problems and potential goals.
• 60: Opportunity solution trees in place; 2–3 problem bets validated with prototypes or data; OKRs and goal(s) agreed.
• 90: First thin-slice in production improving a key metric and/or business outcome!

What you’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, hypothesis testing).
• Demonstrated ability to lead engineering teams through outcomes, not feature mandates and excellent prioritisation and sequencing instincts and methodologies.
• Strong data ‘chops’: funnel analytics, experimentation, cohort analysis, basic SQL or analytics tooling; comfort with model metrics.
• 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.

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 we’re a great place to work, drop an email to [email protected] and we’ll be in touch. You can also find out more about careers at GBG and check out our current opportunities at gbgplc.com/careers.