Senior Backend Engineer

Senior Account Executive

Ho Chi Minh - Viet Nam

Outsource

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

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Salesforce Engineer (IC2)

Ho Chi Minh - Viet Nam

Outsource

• Salesforce

#Salesforce Engineering (Quote-to-Cash) Build and maintain Salesforce processes from Quote through to Cash Work full-stack on the platform: declarative (data model, Flows, validation, security model) and programmatic (Apex, Lightning Web Components) Implement changes safely on a production system used by Go-to-Market every day#Integrations & System Interfaces Maintain and further develop the integrations between Salesforce and internal/external systems (customer portal, HubSpot, license management, billing/ERP, and others) Design and operate integrations using Salesforce REST/SOAP APIs and standard integration patterns Own the health of these interfaces: monitoring, error handling, and data consistency#Collaboration with Go-to-Market / RevOps Partner with RevOps and GTM to translate business needs into robust technical implementations Challenge requirements where they create risk or technical debt Coordinate handoffs at the Lead-to-Quote / Quote-to-Cash boundary#Reliability, Security & Change Safety Protect a revenue-critical system: change control, testing, backup/rollback awareness Apply JTL security and compliance standards to Salesforce work#Optional / stretch With spare capacity, support tech-heavy Lead-to-Quote topics in Salesforce (optional; primary ownership of Lead-to-Quote stays with RevOps)

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Senior Bioinformatics Engineer

Ho Chi Minh - Viet Nam

Product

• Data Science

Serve as the primary bioinformatics subject matter expert for engineering teams developing cloud-native bioinformatics software. Collaborate with software architects to translate scientific workflows into scalable distributed computing architectures. Help engineers understand the computational characteristics, assumptions, and limitations of existing bioinformatics tools. Validate that modernized applications preserve scientific correctness and produce reproducible results. Define biological data models, metadata standards, controlled vocabularies, and best practices for data harmonization. Guide engineering teams in designing scalable approaches for processing large genomic and multi-omics datasets. Evaluate open-source bioinformatics software (e.g. PLINK, Regenie, BCFtools, GATK, Nextflow workflows, etc.) and identify opportunities for cloud-native modernization. Work with distributed computing specialists to determine how algorithms can be parallelized using Spark and other large-scale execution frameworks. Develop 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 current with advances in bioinformatics, computational biology, distributed computing, and cloud-based scientific software.

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