Hanoi, Vietnam · --:-- GMT+7On-site · 9:00–17:00NEKSAI Group
Careers
Technology Is the Foundation. People Are the Purpose.
Torilab is looking for people who want to solve real problems, contribute with genuine expertise, follow through to results, and turn ideas into value for everyday life together.
“Angular Steering,” Torilab’s research conducted with a researcher from the National University of Singapore (NUS), was selected as a Spotlight paper at NeurIPS 2025. At Torilab, you work on research problems about the internal mechanisms of AI models and methods for steering model behavior.
From Research to Real Products
Torilab develops, operates, and continuously improves NEKSAI Group AI products such as Twomi and Kiketsuta. What you build goes into products with real users.
Co-Development With Partners
Beyond Group products, Torilab co-develops AI products and services with partners under a revenue-sharing model, not outsourced projects. You take part in the full product lifecycle, from research to operations.
Our Promise
What We Expect. What We Give Back.
01 · Expectation
Grow Into Who Society Needs
We expect everyone to keep growing, not only in skills but in the ability to identify real problems and work toward solving them.
02 · Philosophy
Profit Is Fuel, Not the Destination
We don’t optimize for short-term numbers. Profit lets us invest in better technology, attract talented people, and take on bigger problems. Impact and revenue are not in conflict; they reinforce each other.
03 · Commitment
We Invest in Your Future
We commit to more than the role you are hired for: an environment where you can challenge yourself, keep growing, and move closer to the future you want.
Torilab works on-site at our Hanoi office, from 9:00 to 17:00. This is where the team exchanges ideas, solves technical problems, and collaborates throughout research and technology development.
Office
20F Lancaster Luminaire, Hanoi
Hours
9:00 – 17:00 (GMT+7)
Work Mode
On-site
Employee Voice
“
Recognized for value, not titles.
At Torilab, I’m evaluated on the value I create and how I grow, not on seniority or title. My input carries the same weight as the research and engineering teams’, so I always feel like a real part of the product. The company also gives me plenty of opportunities to learn more about both business and technology.
KaceyProduct Manager“
A place to keep learning.
What I value most is that Torilab truly invests in each person’s growth. I get hard problems to solve, room to try new things, and support to expand my skills. The company thinks about long-term value rather than short-term results, so I can build things to last and see myself here for the long run.
LeviBackend & Integration Engineer“
No hierarchy barriers.
Everyone has a voice here. When I find an issue, we sit down and discuss it candidly, based on data, with no blame and no hierarchy barriers. Colleagues are always ready to help each other, and sharing responsibility for product quality makes me feel trusted.
HarmonyQuality Control Manager“
Together every day at our Hanoi office.
Working on-site from 9:00 to 17:00 means the team talks face to face and solves problems fast; I can just turn around and discuss things with the research or backend team. Clear working hours also leave me time for myself after work. Most importantly, I can see my growth path here, and the company keeps creating opportunities for me to get closer to my goals.
ProductProduct Operations Specialist — TwomiFull-time · Hanoi · On-site
About the Role
Make every release land—and make the product learn from it. You are the connective tissue between product, engineering, data, support, and go-to-market for Twomi, an AI-native media experience of Live TV Shows performed by AI avatars. Your job is to make sure each Twomi release reaches users correctly, performs as expected, and produces clear learning for what we build next.
What You’ll Do
Run the end-to-end rollout for each app version: push notifications, website news, email, note.com, Instagram, X, TikTok, Help Center updates, and internal announcements.
Own app-store optimization: keyword research, listing copy, screenshots, preview videos, and ranking experiments.
Monitor daily downloads, weekly cumulative revenue, and operational health; investigate anomalies and bring the right people together quickly.
Work with the Product Owner and BI team to turn user behavior, feedback, and market signals into a sharper roadmap.
Test releases with engineering before and after launch, document issues clearly, and close the loop.
Represent product operations in affiliate and commission-rule discussions with the Buzzencer team.
Build and maintain small AI-assisted tools and automations for reporting, QA, research, and recurring workflows.
Requirements
Bachelor’s degree in Business, Economics, Marketing, Information Systems, Engineering, Data, Operations, or a related field—or equivalent evidence of capability through work and projects.
Strong working English, especially written communication; able to coordinate clearly with stakeholders in Vietnam, Japan, and Singapore.
Strong analytical and structured problem-solving ability: comfortable working with metrics, spreadsheets, dashboards, checklists, and operational details.
Able to manage multiple workstreams, prioritize under time pressure, and follow through reliably without close supervision.
Hands-on familiarity with AI tools and the motivation to build simple automations, agents, or internal tools. Professional software-engineering experience is not required.
Nice to Have
Strong academic performance or graduation from a highly selective university.
Experience in app or product operations, QA, analytics, ASO, automation, or cross-functional project delivery.
Study or work experience abroad, Japanese-language ability, or experience collaborating across cultures.
DataSenior Data Analyst — Product & Growth Insights (AI Products)Full-time · Hanoi · On-site
About the Role
Turn business questions into useful insights for consumer AI products such as Twomi for the Japanese market. You will explore why users drop off, how product changes affect engagement, which marketing cohorts retain and convert, and how results translate into revenue. Working with Product, Marketing, Operations, and BI Engineering, you will create trusted reports and practical recommendations.
What You’ll Do
Turn questions from Product, Marketing, Sales, and Operations into clear hypotheses, relevant metrics, and focused analyses.
Analyze acquisition and behavioral cohorts, funnels, and user journeys to understand activation, retention, and drop-off across our AI products.
Evaluate product releases, feature adoption, and experiments using meaningful baselines and fair comparisons; explain limitations.
Assess marketing channels and campaigns through installs, conversion, customer quality, CAC, and ROI/ROAS where attribution supports it.
Create reliable dashboards and recurring or ad-hoc reports, using clear charts to explain trends, key findings, and recommended actions.
Check metric definitions, time windows, test-data exclusions, and data consistency; coordinate with BI Engineering to address gaps.
Connect product and campaign performance with sales, revenue, costs, and basic unit economics in partnership with Finance.
Use AI tools and lightweight automation to speed up research, analysis, and reporting while validating important results.
Requirements
5+ years in product, growth, business, or data analytics, ideally in consumer apps, digital banking, subscriptions, or other digital products.
Ability to clarify business questions, choose useful KPIs, form hypotheses, and explain findings in plain language.
Hands-on experience with cohort analysis, funnels, retention, and customer segmentation, including fair comparisons between groups.
Strong Excel / Google Sheets and dashboard skills (Looker is required), with a clear, accurate reporting style.
Good judgment on data quality, metric definitions, date ranges, and the limits of what a report can demonstrate.
Understanding of product and marketing metrics (conversion, CAC, LTV, ROI) and business fundamentals (revenue, costs, P&L, and cash flow).
Practical use of AI tools for research or analysis, and the ability to communicate effectively in English with different teams.
Nice to Have
Experience with consumer mobile apps, AI products, CRM / customer lifecycle analytics, or subscription businesses.
