Senior Java Developer

Head of Engineering

Da Nang - Viet Nam

Product

Develop and communicate the engineering strategy, technical roadmap and priorities that align with product goals, customer outcomes and regulatory obligations. Assume responsibility for various aspects of the engineering process including discovery, estimation, architecture, development, testing, release, production support, incident response and continual improvement. Establish and build the engineering organisation by defining team structure and roles, participating in hiring, coaching and retaining engineers, and creating clear expectations and development paths. Lead internal engineers and oversee external engineering delivery partners to ensure agreed outcomes, quality standards, security requirements, and delivery commitments are met. Maintain a strong technical understanding to challenge designs, lead architecture and code reviews, resolve complex issues, and make informed decisions. Establish and enforce engineering standards for secure software development, code quality, automated testing, release management, and technical debt reduction. Assume responsibility for production reliability and operational readiness, including observability, capacity, availability, performance, incident management, and root-cause remediation. Integrate security and privacy into the engineering process, including encryption, auditability, secrets management, vulnerability remediation and data minimization. Collaborate with other teams to shape requirements, manage trade-offs, communicate risk and provide transparent delivery forecasts. Define measurable engineering objectives and own responsible AI adoption across various areas. Evaluate AI-enabled product opportunities and manage engineering suppliers and technology vendors. Contribute to budgeting, forecasting and prioritization, ensuring engineering expenditure produces measurable business value.

Negotiation

Senior Account Executive

Ho Chi Minh - Viet Nam

Outsource

• Account Management
• Sale

As a Senior Account Executive, you are the primary engine of Our Client's revenue growth. You do not simply transact; you are the captain who navigates complex client challenges and steers high-value opportunities from a qualified lead to a signed, long-term partnership.Your mission is to own the full sales cycle, acting as a trusted guide ("Sherpa") who translates intricate business needs into tangible, high-quality technical solutions. You will be the crucial link between the client's vision and Our Client's delivery excellence. Lead the Commercial Expedition: Own the relationship with prospective clients from the first sales-led call to the final contract negotiation, establishing trust and demonstrating value at every step. Architect the Solution: Move beyond selling resources to architecting solutions. Conduct deep consultative discovery to unearth client pain points and collaborate with internal technical experts to design the perfect engagement model. Drive Predictable Revenue: Build and manage a robust pipeline, providing accurate forecasting and executing with a discipline that ensures you meet and exceed your revenue targets#KEY RESPONSIBILITIES#1. Full-Cycle Deal Execution & Closing Take ownership of Sales Qualified Leads (SQLs) provided by the Sales Development Representatives (SDRs) and manage the entire sales expedition to a successful summit (close). Lead sophisticated contract and pricing negotiations, focusing on Value-Based Pricing, Gross Margin, and long-term partnership value over commoditized, low-margin deals. Consistently meet and exceed quarterly and annual quotas for closed-won revenue and new Annual Recurring Revenue (ARR).#2. Consultative Selling & Solution Orchestration Conduct deep-dive discovery sessions with C-level executives, VPs of Engineering, and Product Managers to understand their core business challenges, operational bottlenecks, and strategic aspirations. Collaborate seamlessly with Our Client's technical leads and Sales Engineers to architect tailored solutions, whether they involve custom software development, dedicated engineering teams, or advanced AI implementations. Prepare and deliver compelling proposals, business cases, and presentations that articulate a clear value proposition and ROI for the client.#3. Pipeline Management & Forecasting Discipline Operate with a high degree of autonomy, meticulously managing your pipeline of opportunities within the CRM. Provide accurate, reliable weekly and monthly sales forecasts to leadership, adhering strictly to our established RevOps framework. Ensure all client interactions, deal stages, and next steps are logged with precision, creating a transparent and predictable sales motion.#4. Strategic Internal Collaboration Work in a tight-knit feedback loop with the SDR team to refine lead quality and optimize outbound targeting. Act as the "voice of the climber" (customer) to the marketing and delivery teams, providing field insights that help shape service offerings and go-to-market messaging. Partner with the CRO on tier-one strategic accounts, leveraging executive sponsorship to navigate enterprise complexity and accelerate deal cycles.#YOUR FIRST 90 DAYS: KEY MILESTONES Master the Playbook: Internalize Our Client's core service offerings, "Digital Sherpa" value proposition, and key case studies. Shadow technical and delivery teams to build a foundational understanding of our capabilities. Take Command of the Pipeline: Assume ownership of the existing pipeline of qualified leads, establishing a rhythm of weekly calls, follow-ups, and discovery sessions. Secure the First Summit: Successfully navigate your first deal through the entire sales cycle, from initial scoping to a signed contract, demonstrating mastery of the Our Client sales process

Negotiation

Senior Bioinformatics Engineer

Ho Chi Minh - Viet Nam

Product

• Data Science

Act as the main expert on bioinformatics for engineering teams developing cloud-native bioinformatics software. Work with software architects to convert scientific workflows into scalable distributed computing architectures. Help engineers understand the computational characteristics, assumptions, and limitations of existing bioinformatics tools. Confirm that modernized applications maintain scientific correctness and produce reproducible results. Establish biological data models, metadata standards, controlled vocabularies, and best practices for data harmonization. Assist engineering teams in developing scalable approaches for processing large genomic and multi-omics datasets. Evaluate open-source bioinformatics software and identify opportunities for cloud-native modernization. Collaborate with distributed computing specialists to determine how algorithms can be parallelized using large-scale execution frameworks. Create validation datasets, benchmarking methodologies, and acceptance criteria for transformed applications. Review engineering designs to ensure biological accuracy and scientific integrity. Collaborate with AI engineering teams on using AI-assisted software transformation while ensuring scientific correctness. Stay up to date with advances in bioinformatics, computational biology, distributed computing, and cloud-based scientific software.

Negotiation