Jobs at Ironclad

Leads the global sales operations infrastructure, including GTM planning, territory and quota design, forecasting, pipeline accountability, renewals, expansion, partner and BDR programs, and international growth. Builds and manages a global operations team, automates sales workflows, develops AI-enabled GTM strategies, and presents data-backed recommendations to executive leadership while partnering across Sales, Marketing, Customer Experience, Finance, and GTM Engineering.

Designs and delivers enterprise automations, AI-assisted workflows, and governed integrations across business systems. Leads cross-functional integration projects, operationalizes Glean-based AI workflows, establishes engineering and observability standards, implements error handling and alerting, and mentors automation engineers. The role partners with stakeholders to translate business needs into scalable technical architectures and roadmaps while advancing reliable, secure, and reusable automation practices.

Own the architecture for agentic search systems combining LLMs and retrieval to answer complex contract questions. Design evaluation benchmarks, improve search relevance, build content-understanding and ingestion pipelines, and set technical direction across the AI organization. Partner with product, applied science, and engineering leaders while mentoring senior engineers and driving measurable, production-scale improvements in retrieval, query understanding, reranking, and LLM agent systems.

Own strategy, roadmap, and execution for Ironclad’s workflow efficiency product area. Lead workflow roles, assignments, approvals, notifications, activity intelligence, data quality, and AI-powered workflow experiences. Partner with Engineering, Design, Data, AI, Legal, Customer Success, Sales, and executives to improve contract cycle time, approval reliability, user autonomy, and customer-facing workflow experiences.

The role involves leading global recruiting strategies for GTM and G&A functions, managing a team of recruiters, and collaborating with leadership to scale high-performing sales organizations.

As a Senior Staff Software Engineer, you'll architect and build solutions for a hybrid platform while mentoring teams and collaborating across departments.

Own finance data infrastructure, system integrations, and AI automation for FP&A and the monthly close. Design and maintain EPM architecture, BigQuery/dbt pipelines, iPaaS integrations, data governance, and automated close/forecasting pipelines. Build AI/LLM-driven agents with human-in-the-loop controls to ensure SOX-compliant, reliable outputs.

Lead enterprise customers through adoption of Ironclad by developing adoption roadmaps, aligning executives, managing implementations, tracking adoption metrics, resolving escalations, and partnering cross-functionally to drive AI-powered workflow activation and measurable business outcomes.

Lead application security efforts across product and platform teams by performing security assessments, vulnerability testing, code reviews, threat modeling, and CI/CD integration. Collaborate with SRE, development, IT, and risk teams to remediate vulnerabilities, implement secure coding practices, provide training, and drive security process improvements. Mentor engineers and stay current on threat techniques and protective controls.

Lead product, privacy, and IP legal counsel for AI-enabled contract platform. Embed in product development to advise on AI governance, privacy, data use, IP, and security; create scalable review processes, playbooks, and tooling; support customer-facing matters and risk management; and translate legal and technical complexity into actionable product requirements and controls.

Lead GTM financial planning, forecasting, and ARR/bookings reporting for Sales. Partner with CRO and GTM leaders on investment, capacity, pipeline, deal structuring, and headcount planning. Build models, optimize systems and dashboards, and drive analytics to support enterprise and mid-market growth.

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.

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.

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

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.

Provide high-level executive support to senior Engineering and Product leaders: manage complex calendars and priorities, anticipate needs, coordinate cross-team communications, lead special projects, improve processes using AI/productivity tools, and protect confidential information while enabling organizational efficiency.

Serve as a product and technical advisor to drive customer adoption of Ironclad. Validate fit, design and configure contracting workflows, templates, and integrations, lead demos and workshops, advise on responsible AI integration, and collaborate cross-functionally to ensure successful implementation and long-term platform ownership.

Partner with account teams to design, configure, and implement contracting workflows in Ironclad. Advise on AI-driven contract automation, validate solution fit, lead demos and workshops, and drive customer adoption while collaborating cross-functionally and feeding product insights back to the Product team.

The Staff Data Scientist will work with product teams to analyze data, identify improvement opportunities, design experiments, and create reporting dashboards to enhance contract management workflows.

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%).