Own and organize the product documentation library; author internal and client-facing documentation across the litigation lifecycle; produce procedural guides, decision trees, and visual workflow diagrams; write quick-turn responses to client questions; edit and polish release notes and translate developer updates into client-centric value propositions.
About Syllo
Syllo is on a mission to transform litigation. Our product is a unified litigation platform that enables lawyers and paralegals to safely harness the power of language models and agentic AI throughout the litigation life cycle. Since going to market, we have gained a diverse group of enterprise customers, including some of the biggest law firms and corporations in the country, and we are quickly expanding. By reducing the expense of litigation industry-wide, we aim to improve access to high-quality representation and promote the alignment of legal outcomes with merit.
About the Role
With our growing client-base and increasingly rapid product development, our need for clear, accurate, and frequent communication to our clients and internal stakeholders is greater than ever. Our training & enablement, customer success, marketing, account management, and sales teams, in addition to clients, will all consume documentation on our product.
Responsibilities
- Own the organization of documentation
- Create documentation
- Author internal and client-facing documentation on how to use Syllo at each and every stage of the litigation journey
- Author client-facing documentation on new, complex features
- Author quick-turnaround questions from clients about our product
- Edit release notes so that they’re most useful for our clients
Qualifications
- Ability to keep organized and as needed restructure a growing documentation library.
- The ability to write in a way that doesn’t simply spell out standard UI clicks, but bridges complex legal workflows with the product’s capabilities.
- A thirst for learning all resources available for acquiring answers to even the most complex and/or technical of questions.
- The ability to write distinct internal guides for solutions architects, customer success, and training & enablement and external, client-facing guides tailored to distinct user personas: litigators, paralegals, eDiscovery specialists, and admins.
- Proficiency in creating procedural step-by-step guides, decision trees, and visual workflow diagrams that show users how to complete complex, multi-stage legal tasks inside the platform.
- High attention to detail to polish automated product update notes. Makes technical updates clear, concise, and punchy.
- Translates developer updates into client-centric value propositions.
Nice to have
- Litigation Lifecycle Fluency: has extensive knowledge and understanding of the litigation journey: how litigation moves from early intake and eDiscovery to written discovery, depositions, motion practice, and trial prep.
United States - Remote Pay Range
$140,000—$180,000 USD
Similar Jobs
Software
Write technical marketing content—including blog posts, guides, tutorials, explainers, video outlines, forum articles, and social copy—for developers, creators, marketers, and AI-native builders. Translate complex video AI concepts into accessible materials, optimize content for SEO, collaborate with product and engineering teams, support external publishing, and monitor competitor messaging. Travel up to 10% annually for conferences, meetings, and business events.
Top Skills:
APIsChatgptClaudeComputer VisionGitMcp ServersMultimodal AiSdksSeoVideo Ai
.jpeg)
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Architect and deploy production-grade autonomous AI agents for semiconductor manufacturing. Responsibilities include designing multi-agent systems, RAG and agent pipelines, evaluation and profiling frameworks, MCP/A2A integrations, security controls, and Kubernetes-based CI/CD deployments. The role requires optimizing inference workloads, transforming AI prototypes into scalable systems, collaborating with data teams and manufacturing experts, and mentoring engineers.
Top Skills:
A2AAgent-To-Agent ProtocolAgentic AiCi/CdCloud ComputingComputer VisionCrewaiDockerFunction CallingGenerative AiGoogle Agent Development KitKubernetesLangchainLanggraphLangsmithLarge Language ModelsMcpMicrosoft Agent FrameworkModel Context ProtocolOpentelemetryPrompt EngineeringPythonPyTorchPytorch ProfilerRagRustScikit-LearnSignal ProcessingTensorFlowTensorrt-LlmTypescriptVector SearchVllm
Artificial Intelligence • Big Data • Cloud • Information Technology • Machine Learning • Software
Leads a team of 6–10 Solution Consultants supporting enterprise sales pursuits. Responsibilities include coaching, recruiting, performance management, technical sales strategy, proof-of-value execution, customer engagement, cross-functional collaboration, forecasting, QBRs, and revenue attainment. The role partners closely with Sales, Product, Engineering, Professional Services, Customer Success, and Marketing while driving team productivity and regional sales initiatives.
Top Skills:
Cloud TechnologyDigital Experience MonitoringItilSaaSService Management
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
