The Documentation Architect will design and maintain a centralized knowledge architecture, including automated pipelines for content generation and verification. They will collaborate with internal teams and the Staff Technical Writer to ensure accurate, accessible documentation for both internal stakeholders and external clients.
The Senior UX/UI Designer will provide design support, audit product workflows, and implement design system rules to improve user experience. They will collaborate with cross-functional teams to simplify complex litigation platform interfaces and drive intuitive design patterns.
Design and build high-performance, production-level AI features while mitigating the unreliability of LLMs through robust engineering solutions. Manage the full lifecycle of AI features, from prototyping and API design to deployment, monitoring, and performance optimization.
The Staff Technical Writer will own the organization and creation of documentation for both internal stakeholders and external clients. They will translate complex developer updates and legal workflows into clear, value-driven content across various formats.
The Staff Software Engineer will lead FinOps initiatives to drive cloud cost efficiency and accountability across the engineering organization. They will also design scalable infrastructure, optimize data pipelines, and mentor the team on cost-conscious engineering practices.
Lead the architecture, development, and operation of a production inference platform for large language models, including model serving, runtime optimization, deployment, routing, autoscaling, scheduling, and observability. Set the inference infrastructure roadmap, benchmark models and hardware, optimize performance and cost, partner with ML and engineering teams, and mentor engineers.
Develop evaluation methods, experiments, monitoring processes, and tools to measure and improve AI system quality and performance. Analyze production data, investigate issues across data, models, and systems, and communicate findings and recommendations to technical and non-technical stakeholders.
The AI Workflows Training Lead will design, build, and maintain AI curriculum for internal and external audiences. They will deliver live and recorded training sessions while collaborating with product and account teams to ensure effective AI adoption.
The Client Training Manager will own the end-to-end training relationship for key accounts, designing and delivering tailored learning programs. They will also manage client portals, analyze usage data, and provide feedback to internal product and account teams.
The Staff Engineer will lead the design and implementation of scalable cloud-based infrastructure and optimize data pipelines for AI integration. They will also oversee internal tool development, platform reliability initiatives, and mentor engineering teams to ensure high performance.
The Senior Engineering Manager will mentor and support a team of 8-10 engineers while fostering a culture of ownership and psychological safety. They will also partner with product managers to define roadmaps and improve engineering processes to increase velocity.
Design, build, and maintain backend systems and APIs to support the company's data platform. Collaborate with cross-functional teams to deliver scalable features and improve system architecture.
You will lead the architectural evolution and optimization of the company's search and retrieval infrastructure to handle petabyte-scale data. This includes designing cost-effective data tiering strategies and ensuring high availability and low latency for complex, concurrent queries.
The Support Specialist will serve as the primary point of contact for clients, resolving technical issues and providing product walkthroughs. They will also contribute to internal knowledge bases and help content while collaborating with engineering teams to improve the platform.
Provide high-level administrative and strategic support to the CLO and Chief of Staff of Engineering, including calendar management and meeting coordination. Maintain organizational systems, handle internal and external communications, and identify opportunities to optimize operational workflows.
The Director of Value Engineering will build financial and strategic narratives to help clients realize the value of the Syllo platform. This role involves partnering with sales to create ROI models, conducting deep discovery, and delivering executive-level business case presentations.
The Managing Director will lead the account management function, owning net revenue retention and expansion ARR targets. They are responsible for building the AM team, establishing expansion playbooks, and maintaining executive relationships with strategic customers.
You will drive engineering execution for company operations by translating business needs into technical specifications and managing the engineering build queue. Additionally, you will partner with data engineering to ensure accurate data warehouse structures and support downstream reporting systems.
The Senior IT Administrator will own the company-wide IT infrastructure, managing hardware, identity, and SaaS applications while scaling support through AI-driven workflows. They will also partner with Security Engineering to maintain compliance with SOC 2 and ISO 27001 standards.
The Data Security Compliance Director will own the end-to-end compliance program, including SOC 2 and ISO 27001 certifications and vendor security questionnaire responses. They will also develop data handling policies, manage incident response procedures, and ensure privacy compliance across the organization.
The Security Compliance Engineer will own the technical security infrastructure, including configuring controls for SOC 2 and ISO 27001 compliance. They will also manage identity and access, endpoint security, and lead technical incident response efforts.
The Strategic Sales Executive will own the full enterprise sales cycle, from discovery and proof of concept to contract negotiation and closing. They will build relationships with legal leadership and CFOs to translate platform capabilities into matter economics and risk reduction.
The Data Specialist will manage the end-to-end data lifecycle, including ingestion, processing, and production workflows for complex litigation cases. They will also perform systematic quality control and collaborate with engineering and client services teams to ensure data integrity and platform efficiency.
The Sales Enablement Manager will design and execute onboarding programs, training curricula, and sales playbooks to accelerate GTM team performance. They will partner with Sales, Marketing, and Product teams to ensure reps are equipped with the content and coaching necessary to qualify deals and close consistently.
The Client Services Specialist will serve as the primary account owner for a portfolio of legal clients, managing end-to-end case delivery and platform strategy. They will partner with the Sales Account Director to ensure client success while coordinating with internal teams to resolve technical and workflow issues.
Design and execute enterprise-wide change management strategies to drive the adoption of litigation AI technology within law firms and corporate legal departments. Partner with internal sales and account management teams to identify transformation opportunities and lead client workshops and executive briefings.
You will build and scale internal tools to support operational efficiency, leveraging AI-first workflows and coding agents. Additionally, you will design evaluation frameworks for LLM-backed systems and collaborate with cross-functional teams to automate internal processes.
