1) Product Discovery & Rapid Validation (AI-Accelerated)
- Lead structured discovery: define problems, map journeys, prioritize opportunities, and validate solutions before building.
- Run lightweight discovery cycles (3–5 days or 1 week): problem framing → prototype/wireframe → quick user validation → decision.
- Translate research into clear product insights, constraints, and tradeoffs (clinical, compliance, operational, commercial).
2) Data-Driven Growth & Experimentation
- Own metric-driven iteration across acquisition, activation, conversion, retention, revenue, referral.
- Define measurement plans: events, funnels, cohorts, dashboards; ensure instrumentation is in place.
- Run experiments (A/B tests where possible): hypotheses, success metrics, rollout plans, and post-analysis.
3) Strategy, Roadmap, and Financial Impact
- Define product strategy and roadmap aligned to company OKRs, capacity, and financial outcomes.
- Evaluate initiatives with expected impact: revenue uplift, retention improvement, cost reduction, operational efficiency, risk reduction.
- Maintain a clear prioritization system (e.g., RICE/ICE/Opportunity Scoring) and communicate tradeoffs with C-level.
4) Cross-Functional Collaboration & Stakeholder Alignment
- Partner closely with engineering, design, data, clinical/ops, sales, marketing, and customer success to ensure product decisions support company objectives and real customer needs.
- Drive decision clarity: define the problem, options, tradeoffs, and risks (incl. compliance/clinical), and make recommendations; escalate effectively when needed.
- Align internal and external stakeholders (e.g., enterprise clients/partners) via structured discovery sessions, feedback loops, and clear documentation of scope, timelines, and success metrics.
- Oversee releases to ensure alignment between product and go-to-market teams (launch readiness, enablement, comms, support prep).
5) Developer Collaboration & Delivery Excellence (Agile)
- Translate discovery into delivery with developers and designers: PRDs, user stories, acceptance criteria, edge cases, and non-functional requirements.
- Maintain delivery hygiene: backlog quality, sprint ceremonies, QA readiness, bug triage, release monitoring, and post-release learnings.
- Ensure measurement is built-in (event tracking, dashboards, experiment setup) — not added after launch.
6) AI-Driven Development & Modern Shipping
- Operate an AI-augmented product workflow to improve cycle time and quality (without outsourcing thinking).
- Use AI responsibly to accelerate: research synthesis, PRD drafting, user story refinement, analytics/query assistance, experiment design, QA test cases, release notes, and stakeholder comms.
- Partner with engineering on practical AI-enabled delivery practices (as appropriate): AI-supported estimation, test planning, triage, documentation, and release workflows.
- Enforce guardrails: privacy, security, accuracy checks, and risk awareness—especially for mental health use cases.
7) Team & Culture
- Help build a customer-driven culture: continuous discovery, fast learning loops, crisp writing, and decision clarity.
- Build/mentor/manage a product team (PMs, UX/UI) as needed and raise the quality bar for product practice.
Requirements
- 2+ years experience as a Product Manager / Product Owner shipping digital products.
- Proven ability to run product discovery (research → synthesis → rapid validation → decision).
- Strong understanding of Agile principles and hands-on backlog management.
- Excellent communication, presentation, and leadership skills (written + verbal; executive-ready).
- Sharp analytical and problem-solving skills: funnels/cohorts/retention, prioritization, and experiment interpretation.
- Demonstrated experience using AI tools in real product work (discovery, writing specs, analysis, QA, release support) with strong judgment and source-checking.
- Passion for improving mental health outcomes in Thailand (and willingness to learn clinical/ethical context).
- Comfortable with asynchronous work via Discord, Notion, Jira.
Nice to Have (Highly Valued)
- Experience in health tech, telemedicine, EMR/EHR, regulated products, or sensitive user journeys.
- Working knowledge of SQL, event instrumentation, and product analytics setup.
- Experience with experimentation platforms and feature flags.
- Familiarity with privacy, security, accessibility, and clinical compliance considerations.
- Experience mentoring PMs/designers or building product org practices.
Tools (Preferred Exposure)
Product & delivery: Jira, Notion, Discord, Figma,
Analytics/BI: Mixpanel/Amplitude/GA4, Looker/Metabase
Experimentation: feature flags/A-B testing (e.g., Flagsmith or equivalent)
AI at work: ChatGPT/Claude, Perplexity, dev collaboration support like GitHub Copilot, and automation (Zapier/Make/n8n) as relevant.
Benefits
- Health Insurance
- Hybrid Work
- Annual Leave 12 days
- Mental Health counseling sessions with psychiatrists and psychologists through ooca platform
- Social Security Insurance
- Provident Fund (condition applied)
- Special discount home loan interest with Government Housing Bank
- BYOD policy: Personal laptops less than 3 years old are eligible for 1000 THB/month subsidy (registration required)