Datadobi · 9 hours ago
Presales Engineer
Datadobi is a global leader in Unstructured Data Management, and they are seeking a Pre-Sales Engineer to provide technical sales support during the pre-sales cycles to customers, prospects, and partners. The role involves executing proof of value projects, developing technical solutions, and supporting the sales team in identifying and qualifying new opportunities.
Information TechnologySoftware
Responsibilities
Strong focus on the business outcomes that customers’, prospects’, and/or partners’ need to achieve, their strategy, and developing an understanding of their challenges while providing guidance as to the best way to secure the desired outcome(s)
Develops and maintains appropriate technical and managerial level contacts within the customer/prospect/partner
Provides architecture, product or solution design, and executes software-demos during the bid phase. Supports the design and development of the technical architectural content defined in the SOW. May develop complex SOWs and can negotiate scope effectively with customer and internal Datadobi teams
Supports the account manager in sales activity to win existing opportunities and identify and qualify new sales opportunities within existing accounts
Support account managers to secure subscription renewals
Provides input into product and solution owners (Engineering and Product Management) on the development of new capabilities, and feedback on field experience with Datadobi’s products and solutions
Identifies and provides training and enablement to Datadobi customers and partners
Takes responsibility for proof of value projects. Designs solutions and executes installation, customization and integration across projects of moderate and large scale and complexity
Takes ownership for all technical aspects up to hand-over to the Operations team
Qualification
Required
Strong communication and inter-personal skills; ability to influence and establish credibility and work with sales, peers, users, customers and partners
Strong presentations skills with the ability to present remote (webcast) and direct to audiences of variable sizes – adapting the messaging from technical details to overall business requirements as needed
Project management and delivery skills
At least five (5+) years' experience
Object storage fundamentals
NAS fundamentals including SMB, NFS, and multi-protocol access
Object and NAS metadata details
Data discovery and mobility performance considerations
Challenges related to scale in an environment
Data Mobility fundamentals relating to file/object data in on-premises, cloud, and/or hybrid-cloud environments
REST API fundamentals
Data protection
NTFS permissions and ACLs
NFS permissions
Data lifecycle, retention, WORM, and legal hold
Metadata extraction and indexing concepts
Data classification (e.g., PII, PHI, ROT data)
File/object analytics and reporting
Classification at scale
Using metadata insights to drive cost reduction, risk mitigation, and/or AI enablement
Preferred
Core concepts - Machine Learning, Deep Learning, Generative AI, Agentic AI
AI data lifecycle and importance of data in training, RAG, inferencing, archival, and re-use
Types of unstructured data that are important in AI pipelines
Governance and security to manage AI risk
Benefits
Fringe benefits
Company
Datadobi
Datadobi specializes in seamless storage platform migrations.
Funding
Current Stage
Growth StageRecent News
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