.png){kind=logo}
Partners with enterprise sales teams across strategic accounts, serving as the technical lead throughout complex cybersecurity sales cycles. Designs architectures, leads technical evaluations and proof-of-value engagements, delivers tailored demonstrations, advises CISOs and security leaders, and positions the platform against legacy SIEM and security analytics solutions. The role also supports executive briefings, documents opportunities in Salesforce, provides customer-driven product feedback, and tracks emerging security analytics, cloud, and AI-driven SOC trends.
Description
Vega is one of the fastest-growing startups in cybersecurity, redefining security analytics and operations with an AI-native platform for the SOC!
We are building the next-generation operating system for security teams. Vega is already delivering real impact at some of the world’s largest organizations - improving detection, unlocking the value of their security data, and reducing cost and complexity. With HQs in New York and TLV, we're looking for people who want to be a part of the next rocket-ship in cyber.
The Role
We’re seeking a Senior Sales Engineer to partner with our enterprise sales team and support revenue growth across a defined set of Fortune 1000 and Global 2000 accounts in the West.
This role sits at the intersection of deep technical expertise and strategic customer engagement. You will be the trusted technical advisor to CISOs, security operations leaders, and platform teams - guiding customers through architecture design, evaluations, proof-of-value engagements, and executive-level technical discussions.
You will play a critical role in positioning Vega as a foundational security analytics platform, capable of replacing or augmenting legacy SIEM and security data architectures at enterprise scale.
What You’ll Do
- Partner closely with Regional Sales Managers to support a defined set of strategic enterprise accounts.
- Act as the technical lead throughout complex enterprise sales cycles, from discovery through close.
- Conduct deep technical discovery to understand customer security operations, data pipelines, detection strategies, and scalability requirements.
- Design and present enterprise-grade architectures that demonstrate how Vega fits into and modernizes the SOC.
- Lead technical evaluations, pilots, and proof-of-value (PoV) engagements that clearly articulate ROI, performance, and operational impact.
- Deliver compelling technical demos tailored to executive, practitioner, and platform audiences.
- Position Vega as a strategic alternative to legacy SIEM, security analytics, and data platforms, addressing scale, cost, and operational complexity.
- Support executive briefings, customer QBRs, and architecture reviews with senior security and IT leadership.
- Provide product feedback based on real-world customer use cases to influence roadmap and go-to-market strategy.
- Maintain accurate technical opportunity notes, evaluation plans, and PoV outcomes in Salesforce and internal systems.
- Stay current on evolving security analytics trends, cloud architectures, and AI-driven SOC workflows.
What You Will Bring
- 5+ years of experience in a Sales Engineering, Solutions Engineering, or Pre-Sales role within cybersecurity or enterprise software.
- Strong technical background in modern security architectures, including SIEM, XDR, security data lakes, log management, and cloud-scale analytics.
- Experience supporting complex enterprise sales cycles with multiple stakeholders and long evaluation periods.
- Experience in high growth, fast paced environments
- Ability to engage credibly with CISOs, VP-level security leaders, architects, and hands-on practitioners.
- Proven ability to design and explain scalable architectures across AWS, Azure, and/or GCP environments.
- Comfort leading technical evaluations, PoVs, and hands-on workshops in enterprise environments.
- Excellent communication skills with the ability to translate deep technical concepts into business value.
- Strong collaboration skills and a team-first mindset when working with Sales and Product.
- Willingness to travel regionally for customer meetings and strategic account engagement.
Nice to Have
- Hands-on experience deploying, operating, or migrating SIEM platforms at scale.
- Familiarity with large-scale log ingestion pipelines, detection engineering, and SOC workflows.
- Familiarity with Vega’s mission, architecture, or AI-native approach to security operations.
- Recent experience working in early-stage startups (Series B/C)
Vega (vega.io) New York, New York, USA Office
368 9th Ave, New York, New York, United States, 10001 0614
Similar Jobs
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software • Business Intelligence • Data Privacy
The role involves designing cloud infrastructure, managing production Kubernetes clusters, optimizing CI/CD pipelines, enhancing developer experience, and ensuring reliable AI workloads. Candidates should have extensive experience in infrastructure and distributed systems engineering with strong coding skills and cloud expertise.
Top Skills:
AWSAzureDatadogDockerElkGCPGoGrafanaJavaKubernetesPrometheusPythonTerraform
Social Impact • Software
Owns core product areas across the full lifecycle, from discovery and strategy through execution, launch, and iteration. Conducts customer research, workflow analysis, usability testing, competitive research, and data analysis. Partners closely with engineering and design to deliver scalable user experiences, defines success metrics and instrumentation, and supports launches through messaging and cross-functional readiness. The role also requires hands-on AI experience and operates in a high-ownership, low-structure B2B SaaS environment.
Top Skills:
AICRM
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
Manage assigned client accounts to ensure satisfaction and renewals. Coach clients on SailPoint/IdentityIQ identity and access solutions, monitor usage and risks, provide strategic updates, identify expansion opportunities, and drive resolutions to customer issues.
Top Skills:
IdentityiqSailpoint
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
