{"id":1897760,"url":"https://alion.io/job/epos-growth-product-manager-2","title":"Growth Product Manager","company":{"id":237906,"name":"EPOS","domain":"epos.com.sg","url":"https://alion.io/company/epos-3","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":73,"open_postings":97,"ghost_share":0.536,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":19,"computed_at":"2026-10-19T05:45:15Z"}},"role":"Product","role_family":"Product","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Kuala Lumpur, Malaysia"],"countries":["MY"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":17500,"max_usd":48000,"period":"year","method":null,"sample_n":8776},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Python","optional":false},{"name":"AI Agents","optional":true},{"name":"Go","optional":true},{"name":"LLM","optional":true},{"name":"SQL","optional":true},{"name":"TypeScript","optional":true},{"name":"WhatsApp","optional":true}],"status":"live","first_seen_at":"2026-10-05T09:11:24Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-19T14:45:19Z","board_verified":true,"closed_at":null,"days_open":14,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":13},"description":"Role Summary\nThis is an individual contributor role based in Malaysia, supporting operations regionally across Southeast Asia. You own lead generation, data enrichment, and lead prioritisation for the F&B market, leading projects end to end from a product or data angle with clear commercial results. Your secondary focus is using that data to set up and drive AI led engagement campaigns and to enable Marketing and Sales with AI. This is a product and data ownership role, not a handson engineering role: you set the strategy and partner with engineering on the build rather than building and operating everything yourself. Because the work touches engineering, marketing, and sales at once, cross-functional collaboration matters as much as product and data judgment.\nKey Responsibilities\nLead Generation and Data Pipeline\nOwn the lead data pipeline, including the overall strategy: sourcing, collection, cleaning, enrichment, matching, and deduplication across sources and against existing CRM records\nDrive crossfunctional collaboration with Engineering, Marketing, Sales, and Product to deliver, run, and improve the pipeline\nSet data quality standards and monitoring, including match rules, refresh cadence, and coverage and accuracy metrics\nDeliver clean, prioritised leads into HubSpot and the internal sales CRM, with clear lead and deal attribution\nWork with Legal and Compliance to keep data sourcing within applicable data protection laws in each market (such as PDPA) and platform terms\nAI Enablement for Marketing and Sales\nUse enriched lead data to set up and drive AI-led engagement campaigns, including chatbots and other AI-driven outreach: audience segments, message sequences, triggers, timing, and handoff to Sales\nIdentify and prioritise opportunities where AI can help Marketing and Sales teams work faster or convert better, and work with engineers to bring them into the teams’ daily workflows\nSupport localisation across Southeast Asian markets, including language, tone, and channel\nSupport A/B tests and analyse results (reply rate, qualification rate, conversion to meeting and deal) to improve campaign performance\nRequirements\n5+ years in product, growth, data, or RevOps roles in B2B SaaS or a related field\nTrack record of leading an end-to-end project that delivered commercial results (for example pipeline, revenue, conversion, or cost savings), from a product or data angle\nWorking knowledge of Python: able to prototype, read, and review data pipeline code and direct engineers on it, without needing to build and operate everything yourself\nExperience with data 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