Top Tech Jobs & Startup Jobs

Own and administer Forcepoint’s enterprise Anthropic environment, including provisioning, identity integrations, connectors, access policies, licensing, usage audits, security controls, and vendor management. Drive the internal AI platform roadmap by gathering feedback, prioritizing improvements, onboarding teams, delivering training, and measuring adoption. Partner with security on AI governance, data protection, acceptable-use policies, and incident response while serving as the primary Anthropic vendor contact.

Designs, builds, and maintains scalable data pipelines and infrastructure using AWS, S3, Fivetran, Python, SQL, and Databricks. Develops ETL/ELT workflows, dashboards, reports, data models, and governance practices. Partners with analysts and business stakeholders, documents technical processes, participates in Agile development, and contributes to code reviews. The role also explores AI, machine learning, cloud-native tools, and LLM integrations.

Own end-to-end delivery of Forcepoint’s Enterprise AI program portfolio, coordinating engineering, platform, security, and business stakeholders. Responsibilities include milestone tracking in Jira, risk and dependency resolution, executive reporting, AI infrastructure cost visibility, governance and production readiness, adoption measurement, and launch training. The role manages multiple concurrent AI programs from requirements through production deployment and supports strategic portfolio decisions with senior leadership.

Optimize Forcepoint.com conversion and engagement using behavioral analytics, A/B and multivariate testing, personalization, and AI-assisted workflows. Analyze visitor behavior, build experiments and personalized experiences, improve content and machine readability, and report impacts on leads, pipeline and business outcomes.

Manage new and existing mid-market cybersecurity accounts across the Greater Boston Area. Responsibilities include developing account and opportunity plans, managing 150–300 prospects, executing complex sales cycles, coordinating sales engineers and channel partners, maintaining CRM forecasts, negotiating with executives, and meeting revenue quotas for Forcepoint software, appliances, and services.

Design, build, and maintain AI agents and automation pipelines using agentic frameworks and LLM APIs. Integrate agents with external tools and services, write well-tested backend code (Golang/Python), monitor and debug agent behavior in production, and collaborate with senior engineers to define and document agent workflows.

Build trusted relationships with cybersecurity customers, understand their goals, drive solution adoption, conduct business reviews, provide best-practice recommendations, coordinate internal resources, monitor product usage and health scores, and communicate customer feedback. The role supports renewals, satisfaction, expansion opportunities, product improvements, and customer advocacy.

Sell and close Forcepoint cybersecurity solutions within an assigned territory, focusing on new business, cross-selling, upselling, and account growth. Responsibilities include prospecting, cold calling, managing customer and channel-partner relationships, conducting complex sales with minimal supervision, preparing forecasts, and recommending appropriate security solutions. The role requires strong sales performance, technical product knowledge, industry awareness, and experience in cybersecurity or high-tech sales.

Designs, develops, and executes automated tests using Robot Framework and Playwright across browsers and operating systems. Tracks defects, collaborates with development teams, reviews test cases, and maintains test documentation. Conducts performance testing with JMeter or LoadRunner, analyzes results, identifies bottlenecks, recommends improvements, and continuously enhances automation frameworks and testing processes.

Provide technical support to business customers by troubleshooting Forcepoint products and related systems. Respond to support cases within service-level agreements, gather logs and configuration details, reproduce issues, research solutions, and resolve or escalate cases. Prioritize work by severity, document customer interactions, identify proactive fixes, verify service entitlements, and contribute to technical knowledge sharing. The role requires diagnosing networking, operating system, cloud, security, and application issues across Windows, Linux, macOS, Azure, and AWS environments.