• Engage directly with prospects, customers, and internal partners to identify the clinical and operational workflows that drive their business • Translate workflow insights into clear, end-to-end solution proposals that show prospects exactly how Canvas will work for them • Balance what a prospect needs today with what will scale as they grow • Document learnings and contribute to internal knowledge-sharing to elevate team effectiveness • Build MVP versions of proposed solutions as Canvas plugins using agent-assisted development tools such as Claude Code • Develop and deploy agents with prospective customers during the sales process, turning proposed workflows into live automation they can evaluate firsthand • Demonstrate working prototypes during the sales process, showing fluency in event-driven design, handlers, and effects • Iterate rapidly on prototypes based on prospect feedback during active sales cycles • Create and maintain reusable solution patterns and playbooks that accelerate future engagements • Collaborate across sales, customer success, implementation, engineering, and product teams to align on proposals, handoffs, and feedback loops • Bridge business and technical contexts to move deals forward effectively • Surface and track quality signals (proposal-to-close flow, prototype adoption, prospect feedback) to inform iteration • Shadow senior team members while progressively owning lower-complexity engagements independently

Role Description Make the complex case for the most technical platform in Litigation AI. This role owns technical credibility in the enterprise sales cycle. You will partner with Strategic Sales Executives to: - Run discovery - Design proof-of-concept workflows - Deliver demos tied to specific buyer problems - Answer technical questions from legal IT, security, and compliance teams We are looking for someone who can build and explain — who understands how AI systems work, how legal data environments are structured, and how to translate both for a General Counsel who has never touched a command line. Domain knowledge in eDiscovery or legal tech is a strong advantage. What you will do - Own technical discovery: - Identify the buyer's technical environment, integration requirements, security posture, and implementation constraints before the demo. - Deliver problem-first demos: - Build and present demonstrations tied to the specific matter workflow, data type, and buyer pain — not a feature tour. - Run proof of concept: - Design and execute POC engagements that answer the technical objections that block deals. - Support security and compliance review: - Navigate VSQ processes, security questionnaires, and IT review cycles at AmLaw firms and Fortune 500 accounts. - Build reusable assets: - Document discovery frameworks, demo environments, and POC templates. The next SA should inherit a better toolkit. Qualifications - Technical depth and communication range: You can explain a vector database to a senior engineer and explain why it matters to a General Counsel — in the same conversation. - Enterprise pre-sales experience: You have supported complex sales cycles, not just product demos. You know what a security review looks like from both sides. - Problem-framing discipline: You do not demo features. You demonstrate outcomes tied to specific buyer problems. - Legal domain fluency: You understand eDiscovery workflows, litigation data structures, and why legal buyers care about privilege, chain of custody, and data residency. - Builder instinct: Hands-on experience with code, data pipelines, or infrastructure is a strong differentiator. Requirements - 3+ years of enterprise pre-sales, solutions engineering, or technical consulting experience. - Demonstrated delivery of technical demos and proof of concepts in complex, multi-stakeholder cycles. - Experience with AI/ML platforms, data infrastructure, or legal technology preferred. - Ability to navigate security and compliance review processes (SOC 2, ISO 27001, VSQ) is a strong plus. - Bachelor's degree in computer science, engineering, or a related technical field preferred. Benefits - Compensation: $175,000, variable comp, + equity options. - Medical, dental, vision, and voluntary insurance options. - Vacation, sick leave, and paid holidays. - Access to benefit counselors and fitness class reimbursements. - Annual learning and development budget and real career growth in a fast-scaling organization. Company Description Syllo is defining the Litigation AI category. We are the first unified platform designed to autonomously manage the entire litigation lifecycle end-to-end. Founded in 2019 by a team of litigators and engineers, Syllo enables legal teams to securely harness the power of AI across any matter, regardless of complexity or scale. Our technology supports Fortune 500 companies and AmLaw 200 firms managing their most complex litigation portfolios. Awarded ILTA Transformative Project of the Year and ALM eDiscovery Technology of the Year for 2026, we are the market leader in enterprise-grade litigation AI. Backed by top-tier VCs, we are at a clear inflection point — the team has doubled in the last six months and growth is accelerating.

• Own the technical sales process from introductory meetings (net new sales) through post-sales (customer satisfaction, upselling, and subscription renewals) for enterprise data, machine learning, and AI platform solutions. • Support the technical needs of customers including discovering new use cases for Cloudera’s technology, with a particular focus on Generative AI, predictive analytics, and enterprise MLOps. • Design solutions for your customers’ needs using Cloudera technologies, based on reference architectures and common patterns (e.g., Open Data Lakehouse, Retrieval-Augmented Generation / RAG, and end-to-end ML pipelines). • Demonstrate Cloudera products —including data engineering pipelines, model training/deployment workflows, and Generative AI features—in a way that inspires your customers to say “yes” to Cloudera. • Partner with your Account Managers to show your customers the true business and technical value of a Cloudera solution and drive successful sales. • Present product roadmap and vision —including state-of-the-art AI capabilities, hybrid MLOps, and secure data access—to inspire your customers to think bigger. • Interface with other Cloudera teams to ensure your customers hear one Cloudera voice. • Advocate for your customers’ needs to Product Management and Engineering. • Participate in external publicity and evangelism (conferences, meetups, webinars, blogs) focused on hybrid data platforms, modern data engineering, and enterprise AI. • Achieve goals aligned to a team target with annual sales expectations, as well as actively participate in knowledge exchange with peers and the wider community.

• Own the end-to-end application architecture for humanoid robots • Define reusable software platforms spanning robotics, AI, voice, cloud, and edge systems • Lead technical decisions involving robotics frameworks, operating systems, SDKs • Guide proof-of-concepts into production-ready customer deployments • Collaborate with robotics OEMs, technology partners, and cross-functional engineering teams • Design scalable, modular software architectures for humanoid robot applications • Evaluate and select robotic software frameworks, developer SDKs • Collaborate closely with mechanical and electrical teams • Ensure deployed solutions meet reliability, observability, maintainability, security, and operational requirements • Lead, mentor, and unblock a small, fast-moving startup team of developers