
Cybersecurity • SaaS • AI
PlexTrac is a leading platform in the cybersecurity domain that specializes in automating pentesting reporting and vulnerability management. By aggregating data from various security tools and using AI-powered insights, PlexTrac helps organizations prioritize risks and streamline their Continuous Threat and Exposure Management (CTEM) processes. This enables security teams to identify, assess, and remediate vulnerabilities effectively, enhancing their overall security posture and operational efficiency.
51 - 200 employees
Founded 2016
🔒 Cybersecurity
☁️ SaaS
💰 $70M Series B on 2022-02
November 6

Cybersecurity • SaaS • AI
PlexTrac is a leading platform in the cybersecurity domain that specializes in automating pentesting reporting and vulnerability management. By aggregating data from various security tools and using AI-powered insights, PlexTrac helps organizations prioritize risks and streamline their Continuous Threat and Exposure Management (CTEM) processes. This enables security teams to identify, assess, and remediate vulnerabilities effectively, enhancing their overall security posture and operational efficiency.
51 - 200 employees
Founded 2016
🔒 Cybersecurity
☁️ SaaS
💰 $70M Series B on 2022-02
• Lead technical strategy and architecture for our Gen-AI initiatives: model selection, data pipelines, infrastructure, inference, monitoring, and cost controls • Build and ship production AI embedded products (prompt orchestration, fine-tuning pipelines, retrieval-augmented generation, model serving, observability) • Be the principal engineer for AI: hands-on coding, designing APIs, owning reliability and performance at scale • Translate technical tradeoffs to non-technical stakeholders (product, sales, execs) and create clear decision frameworks • Mentor engineers, set engineering standards, and grow the AI engineering playbook (tests, data quality, safety guardrails) • Drive vendor & model strategy (open-source vs hosted LLMs)
• 7+ years software engineering experience • Proven, hands-on history shipping ML/AI systems into production (fine-tuning or instruct-tuning, RAG, vector DBs, model serving) • Deep technical understanding of inference stack, scaling, latency/cost tradeoffs, and data pipelines • Experience choosing/training models (LLMs/transformers) and deploying safely with monitoring/observability • Hands-on experience in fine-tuning LLMs, Agentic AI, MCPs and RAG systems • 2+ years of experience in AI/ML engineering, with a focus on NLP, LLMs, and conversational AI • Strong experience with Python and knowledge of JavaScript development (TypeScript, React) • Experience in building data pipelines, analytics, ETL processes, SQL, and event streaming • Strong systems and API design skills
• Competitive wellness benefits including Medical, Dental, Vision, Disability and Life • 401(k) • Paid Parental Leave • Flexible work schedule - WFH, WFO • Flexible Time Off • World Class Culture
Apply NowNovember 6
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