The Manager of Threat Research will lead a team dedicated to detecting compromised systems and expanding victim intelligence capabilities. They will own malware triage workflows, mentor researchers, and partner with product and engineering teams to translate telemetry into scalable features.
Bitsight
16 Remote Job Openings at Bitsight
The Sales Activation Manager bridges sales and marketing functions to drive revenue growth through campaign planning, sales enablement, and field execution. This role develops and delivers scalable sales programs, tools, and training to equip sales teams for success in their territories.
Lead complex client engagements and steer professional services delivery excellence by owning strategic direction and outcomes. Mentor consultants and manage executive-level relationships to drive client retention and expansion.
Drive the delivery of client programs by executing daily activities and managing day-to-day client relationships. Perform vendor risk assessments and communicate actionable findings to stakeholders through reports and presentations.
Drive the delivery of client programs by executing daily activities and managing deliverables to ensure quality and client satisfaction. Serve as the primary point of contact for clients while collaborating with internal analysts and cross-functional teams to support business objectives.
Lead complex client engagements and steer professional services delivery excellence by owning strategic direction and outcomes. Mentor consultants and manage executive-level relationships to drive client retention and expansion.
Develop and execute territory plans to maximize client retention and expand the company's footprint through strategic advisory. Build relationships with C-level executives and collaborate cross-functionally to optimize the use of Bitsight products.
Develop and execute territory plans to maximize client retention and expand the company's footprint through strategic advisory. Build relationships with C-level executives and collaborate cross-functionally to optimize the use of Bitsight products.
Develop and enhance security strategies to protect against emerging threats using SIEM, EDR, and cloud security technologies. Lead security incident handling, SOC operations, and support AI governance initiatives to safeguard company data.
Develop and enhance security strategies to protect against emerging threats using SIEM, EDR, and cloud security technologies. Lead security incident handling, SOC operations, and support AI governance initiatives to safeguard company data.
The role focuses on end-to-end Salesforce configuration, automation via Flows, and maintaining strict data hygiene for AI-readiness. It also involves managing the business systems support queue and documenting all configurations for repeatability and AI context.
Lead a multifaceted security research team to develop risk signal collection, processing, and analysis methodologies. Collaborate with product and engineering teams to transition research prototypes into production environments and align development roadmaps.
Lead the execution of internal and external go-to-market strategies for ecosystem integrations to drive global automation and scale. Own the product lifecycle for strategic integrations, defining technical specifications and collaborating with external partner PMs and internal engineering teams.
Design and implement AI-enabled workflows to automate manual tasks such as EBR/QBR preparation and renewal readiness. Partner with cross-functional teams to integrate data into scalable systems that improve CSM productivity and customer health tracking.
The role involves managing a partner portfolio in the EMEA region by recruiting and onboarding strategic resellers. You will create partner business plans and collaborate with field sales to drive lead generation and revenue growth.
The Principal Data Scientist will lead the ideation and execution of high-impact ML/AI initiatives to advance product strategy and technical roadmaps. They are responsible for designing, deploying, and maintaining production-grade ML models and scalable architectures within the company's data engines.