BJAK

Payroll

• Own end-to-end monthly payroll processing for Malaysia and assigned regional markets, validating all payroll inputs including joiners, exits, allowances, incentives, claims, attendance, and deductions.
• Manage statutory submissions and compliance (e.g. EPF, SOCSO, EIS, income tax and equivalents), ensuring payroll processes comply with local labour laws and regulatory requirements.
• Perform payroll checks, reconciliations, and validations prior to payout, maintaining strong internal controls and audit-ready documentation.
• Process salary adjustments, promotions, bonuses, allowances, and ad-hoc payments with full accuracy and confidentiality.
• Coordinate and manage payroll vendors, regional payroll partners, and EOR providers—validating outputs, resolving discrepancies, and enforcing SLAs.
• Prepare payroll reports, reconciliations, and documentation for HR, Finance, and management, supporting audits, budgeting, and compensation analysis.
• Identify gaps or inefficiencies in payroll workflows and support improvements in SOPs, automation, and HRIS integration.

Payroll & Benefits Analyst

Learning and Development

• Own and manage the company-wide engagement and learning calendar, including townhalls, festive events, team activities, onboarding sessions, and internal campaigns.
• Plan and execute engagement programs end-to-end, ensuring strong participation, smooth execution, and positive employee experience.
• Coordinate learning programs across technical, soft skills, and leadership topics, working with internal stakeholders and external trainers.
• Maintain training logistics including scheduling, attendance tracking, completion rates, and basic ROI or effectiveness measurement.
• Run onboarding culture sessions to introduce new hires to BJAK’s values, expectations, and ways of working.
• Partner with People Ops and leaders to embed culture, feedback, and recognition into daily practices.
• Track engagement and learning data, gather feedback, and continuously improve program quality and impact.

L&D Specialist

Human Resources

• Partner with business leaders and managers on team effectiveness, performance management, and day-to-day people decisions.
• Translate business goals into people actions across hiring, engagement, performance, and workforce planning.
• Support employee relations matters and performance conversations with sound judgment and practicality.
• Contribute to workforce planning, headcount tracking, and people data analysis in partnership with Finance and HR leadership.
• Support talent initiatives including onboarding, career development, internal mobility, and learning programs.
• Use people data and feedback to identify trends, surface risks, and recommend improvements.
• Operate across multiple geographies and business contexts, adapting approaches as needed.

HR Business Partner

Operations

• Define and execute operational strategies that support business growth and align with BJAK’s objectives in the UK market.
• Run day-to-day operations smoothly across customer service, administrative operations, and internal workflows to ensure frictionless execution.
• Hire, lead, and develop a high-performing operations and admin team with a strong culture of ownership and accountability.
• Own process improvement by identifying bottlenecks, automating where possible, and implementing systems that reduce cost and increase speed.
• Champion customer experience by leading the customer support function and stepping in hands-on during high-stakes or escalated cases.
• Oversee company administration and internal operations, including office management, documentation, vendor coordination, and adherence to internal policies.

Operations Lead

Designer

• Design digital-first creative assets for marketing campaigns, social media, web, and paid ads (static and motion).
• Create motion graphics and short-form animations/videos for digital and performance marketing use.
• Translate creative briefs into clean, bold, conversion-focused digital visuals.
• Use AI tools such as Midjourney, DALL·E, or Runway to support visual ideation and production.
• Collaborate remotely with content, video, product, and performance marketing teams.
• Adapt and optimize visuals based on performance data and feedback.
• Maintain strong visual consistency across all digital BJAK brand touchpoints.
• Support product and growth initiatives with visuals that clearly communicate value in digital environments.

Graphic and Motion Designer

Marketing

• Own and drive the full marketing strategy — digital, brand, content, and campaigns — for London and regional markets (SEA).
• Lead and coordinate cross-channel marketing campaigns across Meta, Google, TikTok, YouTube, CRM, and more.
• Plan and execute performance marketing initiatives with clear KPIs: CAC, ROAS, CTR, conversions.
• Build and lead the content marketing engine — including blogs, video scripts, landing pages, and campaign messaging.
• Shape and evolve the BJAK brand voice and positioning across platforms.
• Manage creative production with internal teams and external agencies/freelancers.
• Analyze data and market trends to generate insights and strategic improvements.
• Collaborate with product, design, sales, and data teams to align marketing with business goals.
• Own the marketing calendar, budget, and resource allocation, making ROI-driven decisions.
• Support go-to-market (GTM) efforts for new products and features.

VP Marketing

Content Writer

• Write scripts, storylines, and dialogues for social media, podcasts, and short-form video shoots
• Create engaging captions, hooks, and copy for platforms like TikTok, Instagram, and YouTube
• Collaborate with video producers, designers, and the creative team to ensure seamless content from script to screen
• Research UK cultural trends, audience interests, and viral formats to inspire fresh content ideas
• Adapt tone and storytelling style to different objectives — educational, entertaining, inspiring, or promotional
• Contribute to brainstorming sessions, content calendars, and new format ideation
• Ensure all content is original, on-brand, and aligned with BJAK’s new UK brand voice and goals

Full-stack Engineer

• Own the application engineering strategy and execution across backend, mobile, and desktop.
• Lead and grow a small, senior applications team, including backend, mobile, and desktop engineers.
• Set the architectural direction for AI-powered product workflows, APIs, and client integrations.
• Ensure AI capabilities are integrated into the product with clear abstractions, predictable behavior, and graceful failure modes.
• Partner closely with Machine Learning leadership to translate model capability into shippable product features.
• Make high-impact decisions across latency, cost, reliability, security, and user experience.
• Establish a strong execution culture through code reviews, design reviews, and hands-on technical leadership.
• Ensure production readiness: observability, monitoring, retries, fallbacks, privacy, and cost controls.
• Balance speed and discipline – shipping quickly without compromising long-term system quality.

Technical Lead, Applications

Backend Engineer

• Build and operate backend systems that serve AI-powered features in production.
• Design inference pipelines, orchestration layers, and service boundaries around models.
• Own production concerns: monitoring, logging, alerting, and incident response.
• Optimize latency and throughput across inference, caching, batching, and streaming.

Backend Engineer, AI

Product Manager

• Own the end-to-end AI product strategy, grounded in technical feasibility and real-world constraints.
• Translate model capabilities, data limitations, and evaluation results into clear product decisions.
• Make hard trade-offs across quality, latency, cost, reliability, and user experience.
• Work daily with ML, backend, and mobile engineers on design, evaluation, and iteration.
• Define success metrics and feedback loops across offline evaluation, online experiments, and human feedback.
• Drive execution with clear specifications, risk awareness, and disciplined prioritization.
• Ensure AI features ship quickly, safely, and reliably into production.
• Own AI product quality across UX, correctness, and outcomes.

Head of Product, AI

Machine Learning Engineer

• Own the research and intelligence direction of this system.
• Define how AI reasons, evaluates, and improves in a product used with high frequency.
• Set and evolve the research direction for A1’s core intelligence, including context representation, memory, reasoning, planning, and orchestration.
• Decide when to design new model architectures versus adapting or leveraging frontier open-source or commercial models.
• Define evaluation frameworks that measure real-world usefulness, robustness, safety, and long-term behavior – not benchmark vanity.
• Own alignment, safety, and guardrail strategy as first-class product concerns.
• Guide exploration of frontier techniques such as retrieval-augmented training, mixture-of-experts, distillation, multi-agent orchestration, multimodal systems.
• Shape early product intelligence direction in close partnership with product and application engineering.
• Set the technical bar for research rigor, judgment, and taste across the organization.

VP of Research – Machine Learning

Engineering Manager

VP of Engineering, Applications

• Own the execution layer of A1’s intelligence – training pipelines, inference systems, evaluation tooling, and deployment
• Architect and operate scalable inference systems, balancing latency, cost, and reliability
• Build and own end-to-end ML pipelines spanning data, training, evaluation, inference, and deployment

Technical Lead, Machine Learning

• Build and own end-to-end ML pipelines spanning data, training, evaluation, inference, and deployment.
• Fine-tune and adapt models using state-of-the-art methods such as LoRA, QLoRA, SFT, DPO, and distillation.
• Architect and operate scalable inference systems, balancing latency, cost, and reliability.
• Design and maintain data systems for high-quality synthetic and real-world training data.
• Implement evaluation pipelines covering performance, robustness, safety, and bias, in partnership with research leadership.
• Own production deployment, including GPU optimization, memory efficiency, latency reduction, and scaling policies.
• Collaborate closely with application engineering to integrate ML systems cleanly into backend, mobile, and desktop products.
• Make pragmatic trade-offs and ship improvements quickly, learning from real usage.
• Work under real production constraints: latency, cost, reliability, and safety.

Principal Machine Learning Engineer

Software Engineer

• Own how the system behaves on desktop environments.
• Focus on reliability, performance, and real-time behavior in production desktop applications.
• Build and maintain cross-platform desktop applications using Electron.
• Design responsive and scalable UIs for real-time collaboration.
• Implement desktop-specific functionality including file system access, native notifications, auto-updates, and deep linking.
• Integrate AI-powered features (chat, agents, AI assistance) via backend APIs.
• Optimize startup time, memory usage, and runtime performance.
• Profile and reduce Electron overhead.
• Manage large local state and message history efficiently.
• Ensure smooth real-time updates (messages, typing indicators, presence).
• Maintain stability across macOS and Windows environments.