Top Tech Jobs & Startup Jobs in Seattle, WA

Design and train LLMs and agentic systems for cybersecurity using RLHF/RLAIF and supervised fine-tuning. Build agent architectures, tooling, retrieval/memory, and evaluation pipelines with rigorous statistical benchmarking. Optimize prompts and inference, collaborate with engineers to productionize prototypes, and drive research on agent planning, safety, and reliability.

The role involves managing strategic partnerships with cloud providers, enhancing offerings on AWS Marketplace, and driving business growth through program management and cross-functional collaboration.

Support Finance and Sales by reconciling and validating revenue KPIs (ACV, ARR, renewals), building reporting datasets and dashboards, collaborating with CRM and data engineering teams, and participating in month-end and quarter-end close activities. Provide ad-hoc analysis and stakeholder-facing explanations of metric derivation and data quality.

As a Principal Data Engineer, you will design and implement LLM, AI-powered security data platforms, mentor engineers, and drive the adoption of data solutions across teams.

Lead global brand media strategy end-to-end: strategy, agency management, creative partnership, experimentation, measurement, and budget ownership. Drive brand awareness via cross-functional collaboration, run brand health studies, analyze performance and scale effective channels.

Conduct cloud-focused Red Team/Blue Team (CRTBT) engagements, emulating adversary TTPs against customer cloud environments, collaborate with client SOC/IR teams, manage engagements end-to-end, develop automation and tooling for adversary emulation, and recommend long-term enhancements to improve cloud detection and response.

Design and scale technical enablement learning programs for sales engineers, partners, and technical sellers. Own curriculum architecture, assessments, labs, workshops, and blended modalities, partner with SMEs, set instructional standards, use feedback and AI tools to measure and improve learning effectiveness.

Build and own a vendor schema registry and semantic validation pipeline that ingests OpenAPI/Swagger/Smithy specs, tracks schema evolution, detects semantic and breaking changes, and provides SDKs and developer tooling to safely map vendor APIs into a canonical knowledge graph used by downstream teams.

Support Falcon Intel Recon customers by triaging and escalating findings, guiding customers on intelligence output, advocating customer feedback to product teams, and leading process improvements to maximize customer success and renewals.

Design, build, and productionize machine learning models to attribute cloud costs, forecast usage, and detect anomalies. Analyze large-scale cloud and financial datasets, run experiments, collaborate with engineers to deploy and monitor models, and report project status while improving team technical capability.