The Senior Systems Engineer will assist customers with evaluations and configurations, demonstrate product expertise, and collaborate on sales strategies and technical documentation.
Description
VAST Data is looking for a Senior Systems Engineer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"VAST's data management vision is the future of the market."- Forbes
VAST Data is the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless VASTronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our company’s growth and at a pivotal point in computing history.
THE ROLE:
- Assist customers with evaluations and benchmarks, system configurations, and system installations.
- Work closely with VAST R&D Engineering in helping to define product requirements and usability, including the creation of product specification documents.
- Participate in the creation of sales strategy and tactics and takes ownership of technical responsibilities within customer accounts.
- Demonstrate technical leadership and subject matter expertise on storage products, distributed storage architectures, file systems, and competitive storage offerings in the DAS, NAS and SAN product spaces.
- Creation of architecture “blueprints” for repeatable solutions that the Sales team will deliver to the customer community.
- Help with the development of a dispersed group of system and field engineers.
- Consult on how to form and build and manage a Support organization.
- 5+ years of experience supporting the sales of enterprise storage to large IT organizations
- Positive energy, optimism and vision.
- Ability to perform in an unstructured environment.
- Understanding of classic unstructured data applications and next-generation analytics and web frameworks.
- Preparation and/or delivery of technical product and architecture presentations to customers and trainees.
- Knowledge of virtualization, high-performance networking and enterprise security.
- Excellent verbal and written communication skills
Similar Jobs
Cloud • Security • Software • Cybersecurity • Automation
Own complex enterprise customer escalations from engagement through resolution, coordinating Engineering, Support, Product, Customer Success, and Sales. Lead executive communications, maintain customer-facing resolution plans, manage commitments, coordinate with Incident Managers, and oversee post-escalation reviews and relationship repair. Develop escalation playbooks and process improvements while providing globally distributed, on-call support for high-severity customer situations.
Top Skills:
Ci/CdCloud-Native PlatformsDevsecopsGitlabPagerdutySalesforceSlackZendesk
Consumer Web • Coupons • Healthtech • Social Impact • Pharmaceutical
Provides independent legal counsel on healthcare regulations, employee benefits agreements, commercial contracts, AI initiatives, and product launches. Reviews pharmacy, telehealth, licensure, fraud and abuse, privacy, and healthcare product risks; negotiates agreements; develops AI governance processes, templates, playbooks, and training; monitors regulatory developments; and coordinates complex matters across legal, product, engineering, privacy, security, compliance, finance, and procurement teams.
Top Skills:
Artificial Intelligence (Ai)Telehealth
Artificial Intelligence • Cloud • Payments • Software • Business Intelligence • Generative AI • Automation
Leads enterprise-scale data architecture across batch, streaming, warehouse, lakehouse, transactional, AI, and vector-store use cases. Establishes data quality, governance, lineage, observability, access-control, and reliability standards. Defines AI-enabled data engineering patterns, mentors engineers, resolves complex architecture issues, and influences cross-functional roadmaps. Requires hands-on technical leadership and 15+ years of software, data engineering, or architecture experience.
Top Skills:
DbtGcp Bigquery
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
