Product Management Technology Machine Learning
- Own the product backlog and prioritize features that deliver measurable value to biotech and pharma R&D users. - Translate user needs (bench scientists, computational biologists, ML engineers, R&D leaders) into clear, testable user stories, acceptance criteria and wireframes. - Run discovery: interview users, run usability tests, analyze telemetry, and validate product hypotheses. - Coordinate cross-functional delivery: work closely with full-stack and AI engineers, DevOps, QA, and design to move features from spec to production. - Define and maintain product artifacts: product roadmap, PRDs, API/UX specs, release notes and developer docs. - Manage pilot programs and customer onboarding: recruit pilot users, run onboarding sessions, capture feedback and convert pilots to repeatable product requirements. - Monitor product health and KPIs (usage, job success rate, time-to-first-result, onboarding time); use metrics to prioritize bugs and improvements. - Own stakeholder communication: give regular demos, report progress to leadership, and solicit cross-team alignment. - Ensure compliance & governance requirements are represented in product decisions (auditability, data access controls, export-control gating). - Create and maintain customer-facing materials: product one-pagers, onboarding playbooks, runbooks, and API docs. - Act as the voice of the customer inside the company; evangelize product choices and customer needs across the org. - Facilitate sprint planning, grooming, retrospectives and acceptance of delivered work; work with engineering to remove blockers.
- Bachelor’s degree (any technical, business or life-science background). - 5+ years product management experience delivering B2B/SaaS products; minimum 2+ years working on ML/AI products or computational platforms. - Experienced working with science or technology product development required. - Proven track record running pilots and onboarding early customers; ability to translate pilot learnings into product improvements. - Strong analytical orientation: experience defining KPIs, designing experiments, A/B tests and interpreting usage/telemetry to prioritize work. - Exceptional stakeholder and people-management skills: comfortable working with scientists, engineers, operations, and commercial teams. - Demonstrated ability to prioritize under ambiguity and to balance short-term delivery with long-term platform strategy. - Prior experience in life-science, drug-discovery, or computational biology environments (R&D workflows, lab integration, LIMS, ELN). - Experience working with regulated customers (pharma, clinical, or similar) and familiarity with audit/GxP concepts. - Experience with developer-facing products (APIs, SDKs, CLI) or platform products.
- We provide a dynamic, fast-paced, and collaborative environment where problem-solving and agility are at the heart of what we do. Along with a competitive salary, we foster a culture that values ambition, confidence, and humility, consistently pushing the boundaries of innovation. - Competitive salary - Workplace: This role is based in our Hanoi office, located in the vibrant Old Quarter. - Build a professional network through collaborations with pharmaceutical companies, industry leaders, and academic experts. - Work on impactful projects that address critical challenges in drug discovery and healthcare.
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