Jobs at BJAK

Support senior leaders by managing calendars, prioritization, meeting coordination, travel arrangements, relationships, recruiting interviews, and special projects. The role requires strong executive support experience, discretion, organization, and proficiency with modern productivity tools. It is remote for candidates based in Hong Kong, with occasional travel and English communication required.

Owns technical product roadmaps, requirements, metrics, and end-to-end delivery for AI-native communication applications. Translates user needs into features and workflows, evaluates architecture and technical trade-offs with engineering, leads launches and iterations, analyzes product performance and experiments, and uses market and user insights to prioritize improvements in adoption, engagement, and retention.

Lead product strategy, roadmap, prioritization, technical direction, launch planning, and performance measurement for an AI-native mobile communication application. Partner with engineering, design, and business stakeholders to evaluate architecture, scalability, reliability, costs, and trade-offs while delivering intuitive user experiences and measurable adoption, engagement, retention, and business impact.

Leads strategy, roadmap, prioritization, technical scope, launch planning, and performance optimization for an AI-native mobile communication application. Partners with engineering, design, and business stakeholders on architecture, scalability, reliability, user experience, and measurable product outcomes. Requires deep technical fluency and experience launching and scaling complex technology products.

Own product roadmaps, requirements, success metrics, and end-to-end delivery for AI-native communication applications. Translate user needs into technical features, evaluate architecture and engineering trade-offs, lead launches, and optimize adoption, engagement, and retention through experimentation and analytics. Guide prioritization using market research, user feedback, product performance, and business evidence.

Leads product strategy, roadmap, prioritization, technical scope, and launch planning for an AI-native communication application. Partners with engineering, design, and business stakeholders on architecture, scalability, reliability, and product trade-offs. Defines success metrics and uses adoption, engagement, retention, and user feedback to guide investments. Requires extensive technical product management experience and a track record of launching and scaling complex products.

Lead product strategy, roadmap, prioritization, technical direction, launch planning, and product performance for an AI-native mobile communication application. Partner with engineering, design, and business stakeholders to evaluate architecture, scalability, reliability, cost, and product trade-offs. Define success metrics and use adoption, engagement, retention, and user feedback to guide investment across interconnected product areas.

Leads product strategy, roadmaps, prioritization, technical product decisions, launch planning, and post-launch improvements for an AI-native mobile communication application. Partners with engineering, design, and business stakeholders to evaluate architecture, scalability, reliability, cost, and product trade-offs. Defines success metrics and uses adoption, engagement, retention, and user feedback to guide investment. Requires extensive technical product management experience and the ability to launch and scale complex products.

Define product roadmaps, requirements, and success metrics for AI-native communication applications. Translate user needs into technical features and workflows, evaluate architecture and engineering trade-offs, and lead products from planning through launch and iteration. Analyze user behavior, experiments, and performance to improve adoption, engagement, retention, and business outcomes. Assess market opportunities and collaborate with engineering on complex systems, integrations, reliability, and performance.

Own product strategy and execution for AI-native communication applications. Define roadmaps, requirements, metrics, and user workflows; evaluate technical architectures and trade-offs with engineering; lead products from planning through launch and iteration; analyze experiments and user behavior to improve adoption, engagement, and retention; and assess market opportunities, competition, and feedback.

Define product roadmaps, requirements, workflows, and success metrics for AI-powered communication applications. Partner with engineering to evaluate architecture, system design, reliability, performance, usability, and development trade-offs. Lead products through planning, design, testing, launch, and iteration. Analyze user behavior, experiments, market opportunities, competition, and feedback to improve adoption, engagement, retention, and business outcomes.

Define strategy, roadmap, priorities, scope, and release plans for an AI-native mobile communication application. Partner with engineering on architecture, technical feasibility, scalability, reliability, and product trade-offs. Guide design and user experience decisions, lead launches, establish success metrics, and use product performance and user feedback to drive improvements and investment across interconnected product areas.

Define product roadmaps, requirements, and success metrics; translate user needs into technical product features; evaluate architecture and engineering trade-offs; lead products from planning through launch; analyze user behavior and experiments; and guide priorities using market research, feedback, and performance data.

Manage global HR operations across approximately 15–20 countries, including payroll inputs and reconciliation, EOR and vendor coordination, onboarding and offboarding, employee records, contracts, compliance research, documentation, and issue resolution. The role requires strong spreadsheet and HR systems skills, attention to detail, and the ability to manage multiple countries, vendors, and deadlines.

Manage international HR operations across 15–20 countries, including payroll inputs and reconciliation, EOR and vendor coordination, onboarding, offboarding, employee records, contracts, compliance research, HR documentation, and issue resolution. The role requires strong spreadsheet and HR systems skills, attention to detail, and the ability to coordinate multiple countries, vendors, and deadlines.

Own the strategy, requirements, evaluation, and quality of AI-powered products. Partner with ML, backend, and client engineers to make trade-offs across reliability, latency, cost, safety, and user experience. Define metrics, identify failure modes, establish feedback loops, prioritize work, and drive execution. The role requires deep technical understanding of ML and LLM systems, strong product judgment, and experience shipping complex AI products in a fast-moving environment.

Owns the end-to-end product direction and quality of AI systems, translating model capabilities and engineering constraints into requirements, evaluations, and user experiences. Partners with ML, backend, and client engineering teams to balance quality, latency, cost, reliability, safety, and usability. Drives experimentation, failure-mode analysis, feedback loops, prioritization, and execution for reliable, trustworthy AI-powered consumer products.

Owns the strategy, requirements, evaluation, and quality of AI-powered products. Partners closely with ML, backend, and client engineering teams to define system behavior, assess model performance, manage trade-offs across quality, latency, cost, reliability, safety, and UX, and establish feedback loops. The role requires strong technical judgment, hands-on experience with AI or LLM products, and the ability to turn ambiguous problems into measurable requirements and executable plans.

Leads high-priority cross-functional initiatives spanning product, engineering, hiring, operations, and business development. Partners with leadership to solve business and product challenges, build teams and processes, research markets and opportunities, and improve company operations. Owns projects from planning through execution and delivers meaningful business outcomes in a fast-moving AI startup environment.

Drive high-priority cross-functional initiatives across engineering, product, hiring, operations, and business development. Partner with leadership to solve business and product challenges, build teams and processes, research markets and opportunities, improve operations, and lead projects from planning through execution in a fast-moving AI startup.