Top Tech Jobs & Startup Jobs

As a Senior Fullstack Software Engineer II, you'll design, build, debug, and test software across UI and backend. Responsibilities include delivering high-quality software, cross-service debugging, gathering requirements, ensuring reliability, mentoring, and improving processes.

The Sales Excellence Manager will enhance the sales experience through market research, training design, and cross-functional collaboration to boost sales productivity.

The Paralegal role involves managing contracts, compliance, and corporate maintenance, while utilizing legal tech, process optimization, and project management to enhance efficiency.

Manage end-to-end commercial contracting (SaaS, hardware deployments, services, procurement, reseller deals, NDAs). Serve as primary legal partner to sales, procurement, operations, and leadership. Optimize contract workflows with a Contract Analyst, implement CLM, leverage AI legal tools, maintain templates and playbooks, escalate complex matters to Assistant General Counsel, and measure deal velocity and risk mitigation.

Build and harden the cloud backbone for an agentic AI platform: scale and ensure reliability of the event pipeline, dispatch to agent/CV workflows, maintain projections and context stores, and own observability, SLOs, and operational readiness at fleet scale.

Own end-to-end delivery of a GenAI-powered security deterrence product: design services and APIs, integrate detection models with prompting and voice/TTS, build evaluation and regression suites, ensure precision and safety for real-world actuations, and drive build-vs-buy decisions while collaborating across platform, data, and ML teams.

Lead end-to-end model lifecycle as infrastructure: standardized packaging, model CI/CD, serving with versioned contracts, automated deployment/rollback, monitoring and drift detection. Extend platform discipline to LLM/VLM/agentic workloads (prompt/versioning, generative evaluation, guardrails, token cost/latency observability). Define API boundaries, enable self-serve safe deployments, own operational seams (vector stores, tracing), and mentor engineers to grow the ML/LLM ops function.

Lead and grow an engineering team building Agentic AI platforms and distributed edge-to-cloud systems. Drive architecture, AI model operationalization, orchestration, scalability, reliability, MLOps, and cross-functional delivery while hiring, mentoring, and setting technical strategy.

Oversee AI adoption strategy, develop internal policies, and build AI solutions. Collaborate across teams and communicate progress to executives.

Lead design and scaling of reusable automated test frameworks for Web, Mobile, and API. Build CI/CD test pipelines, drive performance/chaos/security testing, diagnose microservices failures, mentor SDET engineers, and introduce observability and AI-driven testing improvements to increase reliability and deployment velocity.