Top Tech Jobs & Startup Jobs

As a Senior Staff Site Reliability Engineer, you will lead the SRE team, advocate best practices, ensure resilience in cloud architecture, and mentor team members.

Develop and optimize dbt infrastructure, implement scalable data models, and ensure consistent business logic across teams at Ironclad.

Lead marketing technology and operations owning the full martech stack, data foundations, AI-powered automation, and scalable campaign and funnel processes. Partner cross-functionally, manage pipeline reporting, and lead a team of GTM engineers and ops specialists to operationalize brand, demand, and community programs.

Lead and scale a Revenue Enablement team to improve seller productivity, manager effectiveness, and AI readiness. Build programs (certifications, SKO support, coaching, reinforcement) tied to measurable revenue outcomes and partner cross-functionally to align messaging and execution.

Build and maintain scalable demo environments, scripts, and integrations to demonstrate Ironclad's platform. Collaborate with sales, product, and engineering to align demo assets, gather product feedback, and automate demo capabilities.

Lead full-cycle enterprise sales within a manufacturing territory, prospecting and closing complex SaaS deals. Navigate multi-stakeholder evaluations, build business cases tying CLM to operational outcomes, partner with Solutions Engineering and Customer Outcomes, and manage forecast, pipeline, and cross-functional handoffs to drive net-new acquisition and strategic expansion.

The Technical Lead Manager at Ironclad leads a team of engineers, manages product delivery, advises on technical contributions, and drives operational excellence while aligning with company strategy and culture.

As a Principal Engineer, you will architect and evolve AI-powered solutions, collaborate cross-functionally, and lead technical discussions while mentoring engineers.

Lead and grow the engineering team building Jurist, Ironclad's AI-native contract review product. Define technical vision, own full‑stack architecture (UI and backend), ensure reliability and model quality through evals and instrumentation, and partner with product, design, and domain experts to deliver explainable, trustworthy AI features. Balance hands‑on engineering (80%) with people leadership (20%).

Lead design and delivery of high-priority AI initiatives across product and platform boundaries. Rapidly prototype and launch AI features, unblock teams, mentor engineers, and shape production-grade LLM systems (retrieval, evals, prompting, orchestration). Collaborate with product, design, and domain experts to turn customer needs into shipped product.