Jobs at Bitsight Technologies

Develop statistical and machine learning methodologies for cybersecurity risk assessment, predictive modeling, and security ratings. Enhance scoring methodologies, explore cybersecurity and threat intelligence data, apply emerging AI/ML techniques, and build scalable production code and data pipelines. Monitor model performance, investigate anomalies, document technical solutions, and collaborate with Engineering, Product, Marketing, and Customer Success teams.

Supports core HR operations, employee inquiries, HRIS records, compliance reporting, employee engagement surveys, and workplace initiatives. Partners on learning and development programs, onboarding, internal events, culture activities, and process improvements. The role requires strong communication, adaptability, collaboration, and the ability to work onsite three days per week in Boston.

Own Bitsight’s cloud platform architecture, availability, Kubernetes operations, Terraform infrastructure modules, AI platform infrastructure, data residency, observability, and cloud cost controls. Lead incident response, set service reliability objectives, mentor engineers, establish reusable self-service tooling, evaluate platform technologies, and provide technical direction across AWS, GCP, and Azure.

Manage legal department operations, process improvement, technology enablement, vendor and outside counsel relationships, legal spend, risk communications, and routine contract drafting and negotiation. The role oversees legal technology implementations, develops reporting dashboards, improves policies and workflows, manages budgets and invoices, and supports contracts databases and departmental activities.

Coordinates AI-supported engineering workflow adoption, contributes to the AI SDLC roadmap, manages AI code reviewer initiatives, tracks software delivery bottlenecks, analyzes engineering metrics, establishes quality expectations, supports tooling adoption, and partners with security, compliance, architecture, product, and engineering teams.

Build and maintain high-quality full-stack SaaS applications for third-party risk management. Own loosely defined features from technical design through delivery, develop and optimize REST APIs, create modern web interfaces, write well-tested code, and collaborate with engineers and product owners in a continuous delivery environment.

Prospect and qualify outbound and inbound leads through phone, email, LinkedIn, and other channels. SDRs educate prospects, uncover needs, personalize outreach using AI-powered tools, handle objections, and hand qualified opportunities to Account Executives. The role requires accurate CRM activity logging, quota attainment, collaboration with Sales and Marketing, and continuous learning in a metrics-driven environment.

Own post-sale success, retention, adoption, and expansion for strategic OEM and insurance partners. Serve as a C-suite advisor, lead executive reviews, guide integrations and enablement, identify expansion opportunities, monitor adoption and risk signals, and influence product strategy. The role also develops scalable customer success playbooks, mentors team members, and collaborates across Sales, Product, Engineering, and Services to drive predictable partner growth.

Manages complex, high-value enterprise customer relationships and strategic account plans. Advises C-suite stakeholders on cyber risk outcomes, leads executive business reviews, drives renewals and expansion, develops thought leadership, mentors junior CSMs, and improves customer success processes and team practices.

Own the full customer account lifecycle from onboarding through renewal and expansion. Manage customer health, adoption, retention, and growth across enterprise and commercial accounts. Build strategic account plans, lead outcome-based business reviews, engage executive stakeholders, identify expansion opportunities, and intervene proactively against churn risk. The role requires cybersecurity and risk management knowledge, strong executive communication, data-driven decision-making, and collaboration with sales, support, and product teams.

Manage strategic relationships with complex, high-value customers and drive retention, expansion, and transformational outcomes. Responsibilities include developing multi-year account plans, conducting executive business reviews, advising C-suite stakeholders on cyber risk, identifying expansion opportunities, leading thought leadership, mentoring junior CSMs, and improving customer success processes. The role requires strong cybersecurity expertise, executive communication, strategic account management, and cross-functional influence.

Own product positioning, messaging, and go-to-market strategy for cybersecurity and cyber risk intelligence solutions. Lead cross-functional launches, create sales and marketing assets, enable enterprise sales teams, and translate complex security capabilities into compelling customer outcomes. Partner with Product, Sales, Marketing, and Customer Success to influence product strategy, drive adoption and pipeline, and measure revenue impact. Build expertise in cybersecurity buyers, competitors, market trends, and AI-driven security challenges.

Build and maintain high-quality backend software for a SaaS third-party risk management platform. Own loosely defined features from technical design through delivery, develop and optimize REST APIs, work with Python frameworks, cloud infrastructure, CI/CD pipelines, and container technologies, and contribute to continuous engineering improvements. Preferred work includes coding agents, database modeling, big data systems, search technologies, and AI-assisted development tools.

Build and maintain AI-assisted go-to-market infrastructure, including automated workflows, system integrations, data-quality pipelines, and enrichment and prioritization systems. Partner with Sales and RevOps leadership to translate business needs into scalable technical solutions. Evaluate GTM AI tools, lead build-versus-buy decisions, migrate legacy systems, experiment with pipeline-generation workflows, and document integrations. The role requires strong SQL, programming, API, CRM, automation, and GTM process expertise.

Own and scale Bitsight’s SaaS cloud infrastructure, focusing on reliability, security, automation, and cost efficiency. Design complex systems, troubleshoot production issues, validate AI-assisted infrastructure automation, and improve delivery processes. Lead technical discussions, establish infrastructure best practices, mentor engineers, and collaborate across teams. The role requires strong Linux, scripting, containerization, cloud, infrastructure-as-code, networking, and observability expertise, with occasional off-shift production support.