6 days ago
Base Salary
$282k - $353k/yr
Responsibilities
- Own the technical win for GAIA opportunities through discovery, solution design, demonstrations, proof of value, and technical qualification.
- Serve as the AI subject-matter expert on data architecture, RAG, deployment models, risk, and enterprise AI adoption.
- Design and deliver enterprise AI and GenAI solutions integrated with Cohesity’s data security and management platform.
- Architect RAG solutions and build reference architectures, solution accelerators, and reusable demonstrations.
- Lead technical workshops, POCs, and pilots for customers in regulated industries.
- Create executive-quality solution briefs, architecture diagrams, and account-specific business cases.
- Collaborate with NVIDIA, hyperscalers, and infrastructure OEMs on joint solutions, technical co-selling, and reference architectures.
- Provide field feedback to Product and Engineering to influence the roadmap and customer adoption.
- Maintain accurate technical qualification, POC exit criteria, and forecast inputs.
Requirements
- 7+ years of experience in solutions architecture, sales or pre-sales engineering, or technical consulting, including enterprise sales support.
- Hands-on experience designing and deploying generative AI systems involving LLMs, embeddings, RAG, vector stores, and orchestration frameworks.
- Strong enterprise infrastructure experience with storage, backup and recovery platforms, and hybrid-cloud architectures.
- Familiarity with Kubernetes, OpenShift, AWS, Azure, and GCP for deploying AI workloads.
- Proficiency in Python and APIs for automation, integration, ML workflows, demonstrations, and POC debugging.
- Working knowledge of security, governance, compliance, AI, and data protection considerations.
- Ability to communicate complex AI and infrastructure concepts to technical and executive audiences.
- Experience operating in a specialist, overlay, or co-sell model with account executives.
- Bachelor’s degree in a technical field or equivalent practical experience.
- Ability to use AI tools to improve productivity, workflows, and decision-making.
- Professional English proficiency for customer and internal communication.
- Preferred qualifications include specialist or overlay SE experience at a data infrastructure, cloud, or AI platform vendor; regulated-industry AI validation experience; technical co-selling with NVIDIA, AWS, Azure, or GCP teams; and technical relationships with data or AI architecture leaders.
Benefits
- Full-time employees are eligible for health and wellness benefits, vacation, paid holidays, refresh days, a 401(k) retirement plan, life insurance, disability insurance, and other company benefits.
- Field-based East Coast position with regular travel across North America for customer meetings, workshops, and POCs.
- Periodic travel to Cohesity’s Santa Clara headquarters and company events is required.
- Employees within a reasonable commute of a core office generally work in the office 2–3 days per week of their choosing.
- Candidates outside the designated area should be prepared to relocate before starting and have legal authorization to work in the job location.
Tech Stack
Categories
Solutions Engineering
About Cohesity
Cohesity builds enterprise data security and management software that provides backup, disaster recovery, ransomware recovery, and data governance across data centers and public clouds. Its Cohesity Data Cloud is sold as subscription software, on integrated appliances, and as cloud services to large enterprises and public-sector customers. Privately held and headquartered in Santa Clara, California, Cohesity was founded in 2013 and focuses on cyber recovery and securing data at scale.