1. M t cng vic
Lp k hoch v iu phi: Xy dng k hoch d n, phn b ngun Chu trch nhim nh hnh, qun l v pht trin sn phm AI, m bo sn phm p ng nhu cu th trng, mc tiu kinh doanh v mang li tri nghim tt nht cho ngi dng. L cu ni gia i ng k thut AI, Data Scientist, Designer v cc bn lin quan.
Nhim v chnh
- Qun l sn phm
- Xy dng v qun l Product Backlog: xc nh, m t, sp xp u tin cc tnh nng AI.
- m bo sn phm AI pht trin theo ng roadmap v nh hng chin lc.
- Vit user stories, m t yu cu sn phm r rng cho i dev/AI team.
- Nghin cu & phn tch
- Nghin cu th trng, xu hng AI, i th cnh tranh, hnh vi khch hng.
- Phn tch d liu, nh gi hiu qu ca cc tnh nng AI trin khai.
- Thu thp & x l feedback t ngi dng v stakeholders ci tin sn phm.
- Qun l d n Agile/Scrum
- Tham gia lp k hoch sprint, daily stand-up, review v retrospective.
- Lm vic cht ch vi Scrum Master, Data Scientist, AI Engineer, UI/UX Designer.
- m bo cht lng & tin deliverables.
- Giao tip & iu phi
- L cu ni gia i ng pht trin (dev/AI team) v business (marketing, sales, i tc).
- Trnh by, bo co tin & kt qu cho ban lnh o.
- Lm vic gi hnh chnh : 8h00-17h30 (ngh tra t 12h- 13h30), ngh chiu Th 7, Ch nht hng tun.
2. Yu cu
Trnh hc vn: i hc tr ln, u tin chuyn ngnh Qun tr kinh doanh, Cng ngh thng tin, AI/Data Science hoc lin quan.
Kinh nghim:
- T 2+ nm kinh nghim PO/BA/Product Manager, u tin trong lnh vc AI, Data
- Hiu bit c bn v Machine Learning, Deep Learning, NLP, Computer Vision l li th.
K nng:
- Thnh tho Agile/Scrum, Jira, Confluence.
- K nng phn tch, lp k hoch, qun l backlog.
- Giao tip, thuyt trnh, vit ti liu r rng.
- T duy sn phm, nh hng tri nghim ngi dng.
- Kh nng hc hi v thch ng nhanh vi domain mi.
3. Quyn li
- Mc lng cnh tranh, hp dn (Thu nhp xng ng vi ng vin c nng lc)
- Thng: D n, thng sng to, thng l tt
- Chnh sch, ch lao ng: BHXH, BHYT, BHTN, ...
- Review 2 ln/ nm.
- Mi trng lm vic chuyn nghip, nng ng v thn thin. Tham gia cc d n Tr tu nhn to ln.
- Tham gia hot ng th thao, workshop, t chc sinh nht, teambuilding, du lch theo qu, nm.
4. Lin h
- Email: [Confidential Information]
