Enterprise Account Executive, Singapore

Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands. ABOUT THE ROLE The Technical Account Manager is a technical team member responsible for all aspects of the planning, architecture, coordination, and management of professional services engagements. The focus is on architecting and project management of availability solutions, including data protection and monitoring. The Technical Account manager is an expert in the areas of Data Management, Data Analytics, Business Continuity, Data Center, Cloud, Operating Systems, Networking, Storage, and Virtualization. WHAT YOU’LL DO * Provide input to the writing of proposals and Statements of Work * Support delivery implementation and consulting services to meet Veeam Software solution design and deliverables * Provide overall project guidance (Project plans, Schedules, Communication Plans, Resource plans, Status updates, etc.) * Assist with assessment and design of solutions * Assist with Veeam Software solution implementation effort estimation * Assist with post-installation issues * Create white papers, solutions guides, best practices, custom documentation, etc. * Deliver onsite knowledge transfer on Veeam Software solutions * Assist in the selling of Professional Services * Document configuration and completed activities * Analyze installed environments and guide optimal Veeam Software configurations * Facilitate communication between client and Veeam support * Identify additional needs within the client’s environment that can be resolved with Veeam Software solutions * Provide input for improvement of process and documentation * Overnight travel to meet company goals and objectives * Perform other duties, as assigned What You’ll Bring * VMware VCP, Microsoft MCSE or equivalent experience * Prince 2, ITIL, PMP, or equivalent experience * Bachelor’s Degree in technology required (A combination of education and experience will be considered) * Hands-on experience with Veeam’s Core products * Proven Consulting and Project Management experience * Excellent communication, interpersonal and relationship-building skills * Responsible for understanding customer needs and architecting an appropriate solution. * Focuses on developing deep technical knowledge of VEEAM solutions and a broad range of associated technologies. * Significant experience and understanding of virtualisation technologies such as VMware and Hyper-V * Experience with disruptive storage systems and technologies (Nimble, Nexsan, Actifio, Veeam, etc.) * Hands-on experience with networking protocols and equipment (Fibre Channel, Ethernet, Cloud services) * Experience with traditional storage and backup architectures (EMC, NetApp, IBM, HP/3PAR, Hitachi, Dell, etc.) * Hands-on experience with Enterprise applications (Exchange, SQL, Oracle, etc.) * Experience with Data Management, Data Protection, Data Analytics * Extensive experience with Data Center, Business Continuity and Operating Systems * A proven track record of success (Attitude, Competency, Activity Levels) * Experience successfully managing multiple simultaneous projects and accounts * Working knowledge of Cloud technologies, capabilities, and protocols WHAT YOU’LL GET  * 15 to 21 annual vacation days (based on role level), plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares * Private medical plan for employees and eligible dependents, including major medical, hospital, surgical, and outpatient coverage * Dental insurance with comprehensive coverage for employees and dependents * Annual wellbeing allowance for health and wellness support * Life and accident insurance for added financial protection * Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning  #LI-LW3     Veeam Software is an equal opportunity employer and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential. Personal data collected during the recruitment process will be processed in accordance with our Recruiting Privacy Notice [https://www.veeam.com/legal/recruiting-privacy-notice.html], which explains how your information is collected, used, and handled in connection with hiring activities. By applying for this position, you consent to this processing.  By submitting your application, you confirm that the information provided, including any supporting documents, is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification may result in disqualification from consideration or, if discovered after employment begins, termination of employment.

ABOUT US: At Fireworks, we’re building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We’ve been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We’re an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI. In the last few months alone we launched Fireworks Training, partnered with Microsoft Azure Foundry, and published research straight from our production systems. A few examples of what that looks like in practice: * Frontier RL is cheaper than the mega-cluster narrative suggests: we ran cross-region rollouts using 98% sparse weight deltas and published what we learned. (blog [https://fireworks.ai/blog/frontier-rl-is-cheaper-than-you-think]) * Open source agents with frontier advisors: matching frontier performance through training and harness engineering. (blog [https://fireworks.ai/blog/open-source-agents-frontier-advisors]) * The fine-tuning bottleneck is not the algorithm: integration friction and iteration speed are what actually stall teams; we documented the patterns across dozens of customer engagements. (blog) [https://fireworks.ai/blog/fine-tuning-bottlenecks] The Role AI Field Engineers at Fireworks are the technical tip of the spear. You embed with our most ambitious customers and technology partners to turn complex AI problems into production systems, fast. The role sits at the intersection of engineering, product, and customer delivery. You are hands-on-keyboard building POCs, MVPs, and production integrations, while also holding your own in executive-level conversations about architecture, strategy, and business outcomes. You spend most of your time building. You ship code, run benchmarks, debug production issues, and architect deployments. But you also lead discovery conversations, align stakeholders, and translate customer pain points into product improvements that compress the feedback loop from field to roadmap. This is a role for engineers who are comfortable on-site with customers, building the relationships and trust that happen in person, not just over a call. The Segment As a Field Engineer in the Enterprise track you will work with large organizations and digital-native companies adopting GenAI across the business. These engagements span more stakeholders and longer cycles, so you will manage executive relationships and align teams while staying hands-on in the code. The emphasis is on pairing strong technical delivery with the executive presence to earn trust across an org: discovery, solution design, POC execution, and the path to production at enterprise scale. What You'll Work On Technical Delivery and Deployment * Build end-to-end POCs and MVPs alongside customer engineering teams, working inside their codebases, infrastructure, and constraints. * For customers whose core product is built on GenAI, architect the inference foundations that capability depends on, and size deployments so they can scale in their market without infrastructure becoming the bottleneck. * Run load tests and establish latency, throughput, and cost baselines against realistic customer traffic profiles, and tune deployments to hit those targets * Deploy and validate new model families on inference frameworks (vLLM, SGLang), determining optimal shapes, quantization configs, and serving patterns across workloads. Model Strategy and Fine-Tuning * Guide customers on model selection, fine-tuning strategy (SFT, DPO, RFT), and evaluation methodology. * Build and run fine-tuning pipelines directly with customers, navigating trade-offs between model families, compute cost, and quality targets. * Design and implement evaluation frameworks that measure production-quality metrics, not just benchmark scores. Customer Engagement and Stakeholder Management * Many of our customers exist because of GenAI. Help them bake frontier model capabilities into their core offering and turn that into a durable competitive edge. * Lead structured discovery conversations to unpack customer pain points, constraints, and success criteria before proposing solutions. * Own the technical relationship from first engagement through production deployment. Earn trust with ML engineers and VPs in the same meeting. * Spend time on-site with customers. Build trust and momentum in person, embedding with their teams where the work happens. Product Feedback and Platform Improvement * Identify recurring customer pain points and translate them into concrete product proposals, working directly with engineering and product to ship fixes and features. * Codify repeatable deployment patterns and contribute them back to internal tooling, documentation, and the platform itself. * Feed customer signals (deployment patterns, failure modes, feature gaps) back into the product roadmap with specificity and urgency. What We're Looking For Minimum Qualifications * 5+ years in a hands-on, customer-facing technical role: Forward Deployed Engineer, Applied AI Engineer, Solutions Architect, ML Engineer with field exposure, or technical founder. * Demonstrated ability to build production software with customers, not just advise on it. You have shipped code running in someone else's production environment. * Strong Python skills. Comfortable reading, writing, and debugging production code. Familiarity with Kubernetes and infrastructure engineering. * Working knowledge of the LLM stack: inference trade-offs, model serving, fine-tuning workflows (SFT at minimum; DPO/RFT a strong plus). * Experience with cloud infrastructure (AWS, Azure, GCP) and deploying models on GPU infrastructure. * Exceptional communication: able to run a sharp discovery call, present to a VP, and debug a latency issue with an ML engineer in the same afternoon. Preferred Qualifications * 10+ years in technical field or engineering roles. * Experience with inference serving frameworks (vLLM, SGLang, TensorRT-LLM) and tuning deployments for real workloads. * Experience operating as a technical authority inside a customer's environment building within their infrastructure, navigating their constraints, and shipping code that runs in their production systems. * Track record taking GenAI POCs from prototype to production-scale deployments. * Experience with hyperscaler AI platforms (Azure AI Foundry, AWS Bedrock/SageMaker, GCP Vertex). * Experience building or integrating agentic systems, tool-use chains, or AI-native developer toolchains. Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted. On Target Earnings (Plus Equity) $200,000—$350,000 SGD WHY FIREWORKS AI? * Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. * Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. * Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. * Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.