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Own and grow strategic enterprise cybersecurity accounts across the Northeast. Develop multi-year account plans, acquire new customers, expand existing accounts, lead complex sales cycles with executive stakeholders, leverage channel partners, manage Salesforce pipelines and forecasts, and collaborate with Sales Engineering, product, and leadership teams. The role requires selling security analytics and data modernization solutions, displacing legacy SIEM platforms, and representing the company in executive meetings and industry events.

Design, build, deploy, and optimize end-to-end AI systems for cybersecurity applications. Develop production LLM applications and AI agents, manage the full machine learning lifecycle, analyze large-scale unstructured security data, and improve system scalability, reliability, and observability. Collaborate with product, engineering, and security teams to turn AI research into user-facing platform features.

Lead technical sales engagements for enterprise cybersecurity accounts across the Northeast. Partner with sales teams, conduct discovery, design scalable security architectures, deliver technical demonstrations, and lead evaluations, pilots, workshops, and proof-of-value engagements. Advise CISOs and security leaders on modernizing SIEM and security data environments across cloud platforms. Document opportunities in Salesforce, provide customer-driven product feedback, and travel regionally for strategic account engagement.

Supports enterprise cybersecurity sales by leading technical discovery, architecture design, demos, evaluations, proof-of-value engagements, and executive discussions. Advises CISOs and security teams on modernizing SIEM and security data architectures across AWS, Azure, and GCP. Collaborates with sales and product teams, documents opportunities in Salesforce, provides customer-driven product feedback, and travels regionally across the Western U.S.

Own the end-to-end accounting function, including financial close, audits, tax compliance, payroll, billing, collections, revenue recognition, controls, and accounting operations. Lead ERP and finance systems improvements, manage multi-entity consolidation, and support cash management and investor reporting. The role requires prior controllership experience in a high-growth B2B SaaS company and strong knowledge of ASC 606, Priority ERP, and NetSuite implementations.

Lead and scale Vega’s North Central enterprise sales organization. Responsibilities include hiring and coaching Regional Sales Managers, driving revenue and pipeline generation, managing strategic account plans, guiding complex enterprise deals, maintaining forecast discipline, leveraging channel partners, engaging senior security executives, and collaborating cross-functionally to expand enterprise accounts and win new logos.

Own and grow revenue across strategic Fortune 1000 and Global 2000 accounts in the Eastern and Southeastern U.S. Develop multi-year account strategies, acquire new enterprise customers, expand existing accounts, lead complex cybersecurity sales cycles, engage executives and channel partners, manage Salesforce pipelines and forecasting, support evaluations and proof-of-value engagements, and provide customer feedback to product and leadership teams. Regional travel is required.

Leads and scales Vega’s enterprise sales team across the Western U.S. Responsibilities include hiring and coaching Regional Sales Managers, driving pipeline and revenue performance, managing strategic enterprise deals, forecasting, developing account plans, leveraging channel partners, engaging security executives, and partnering cross-functionally to grow new and existing accounts.

Own and execute channel strategy across the North Central region by managing VAR, reseller, MSSP, and strategic partner relationships. Generate partner-sourced pipeline, recruit and enable partners, develop joint business plans, support co-selling and enterprise deal execution, coordinate field activities and demand generation, and track partner performance in Salesforce. The role partners closely with sales, sales engineering, marketing, and alliances teams and is based in Chicago with regional travel.

Build and operate scalable batch and streaming data pipelines powering AI systems. Own ingestion, storage, transformation, serving, monitoring, validation, and continuous improvement across the data lifecycle. Partner with AI engineers and researchers to translate model requirements into reliable production infrastructure, using data lakes, warehouses, relational, graph, and vector databases. Define data strategy and ensure high-quality, observable, timely data for AI models and agents.