Role Description We are seeking an AI Workflows Training Lead to join our training department. In this role, you own the content and delivery of all AI workflow training for both internal teams and external clients. You will translate complex AI functionality into practical instruction for paralegals, attorneys, and legal ops professionals. - Design, build, and maintain the AI workflows curriculum for both internal and external audiences - Deliver live training sessions and recorded modules covering Syllo's AI workflow features - Develop enablement content specifically suited for different user personas, accounting for differences in technical fluency, role responsibility, and daily workflow - Regularly update training materials to align with Syllo platform updates - Collaborate with the Instructional Designer on the production of scalable training assets - Identify gaps in client AI adoption and recommend targeted training interventions to client account teams Qualifications - 3+ years of experience in litigation (JD preferred) - Strong presentation skills and comfort presenting to mixed-expertise audiences, from legal technology directors to practicing attorneys - Experience with training, curriculum design, or technical enablement, with direct exposure to AI-powered tools or workflows - Experience training legal audiences (attorneys, paralegals, legal ops) is a strong plus - Ability to learn new software capabilities quickly and translate them into clear instructional content - Experience collaborating with product or engineering teams to track and interpret feature releases - Familiarity with LMS platforms, video production tools, and learning asset formats a plus Requirements - Subject matter depth: you understand how Syllo's AI features work and can explain them plainly to legal users - Curriculum thinking: you design learning experiences that build skill, not just awareness - Pace: you keep training content current as the product evolves - Collaboration: you work effectively with product, engineering, and client account teams to stay ahead of what clients need to know - Communication: you adapt your register for the audience in front of you Compensation Compensation will be negotiated based on your qualifications and experience, with a salary range of $130 – 160K, with potential for a higher range for exceptional candidates.

• Serve as a senior AI security subject matter expert for customers, prospects, partners, and internal teams • Help articulate Cyera’s AI security vision, platform value, and differentiated technical approach in customer-facing engagements • Engage in high-impact opportunities where deeper AI expertise can materially improve technical credibility, positioning, or deal quality • Partner with Field CTOs on the largest and most strategic engagements, while also independently leading AI-focused technical workstreams across the field • Work directly with customer technical and executive stakeholders to understand AI initiatives, governance challenges, risk posture, and architectural requirements • Lead AI-focused discovery sessions, technical deep dives, workshops, and strategic POV design • Design and deliver compelling AI security demos, solution narratives, and proof-of-value approaches that align with customer priorities • Improve the technical rigor and repeatability of AI-focused POVs and evaluations • Bring structured field insight back into Product and Engineering based on strategic customer engagements • Partner closely with PMM on AI security messaging, positioning, launches, and technical narrative • Help elevate customer conversations from narrow use cases to broader platform and strategic outcomes

• Work alongside senior team members to assess business workflows • Build and iterate on AI automations and lightweight applications • Participate in coaching sessions with business team members • Maintain clear documentation for the tools and workflows • Test AI tools before they go to users • Track and report on business team members' AI skill development • Research emerging AI tools and platforms • Follow AI governance guidelines and collaborate with IT and Security

• Build and maintain trusted client relationships, serving as a senior thought partner to product, business, technical, and executive stakeholders. • Lead discovery on client engagements: stakeholder interviews, workflow and process analysis, opportunity framing, AI use-case mapping, value articulation, and prioritized recommendations. • Bring structure to ambiguous problem spaces by surfacing assumptions, clarifying decisions, making risks and tradeoffs visible, and creating shared alignment around the path forward. • Facilitate executive workshops and working sessions that move teams from disconnected input to clear priorities, product direction, and next steps. • Develop clear, persuasive written artifacts - including briefs, opportunity maps, product strategy documents, PRDs, roadmaps, and client-facing recommendation decks. • Maintain product ownership through build and implementation: translating strategy into buildable work, supporting sprint planning and backlog decisions, and keeping delivery grounded in client outcomes. • Partner closely with product design, engineering, and AI engineering to validate feasibility, shape product and architecture tradeoffs, and make practical sequencing decisions. • Define outcome hypotheses, success measures, and learning plans; help clients make decisions that balance user value, business impact, feasibility, governance, and time-to-value. • Help clients identify, evaluate, and design AI-enabled products and workflows, including agentic experiences, automation opportunities, human-in-the-loop decisions, evaluation approaches, privacy, security, reliability, and change-management needs. • Use AI as an extension of the product practice - accelerating research, synthesis, prototyping, documentation, and delivery workflows while maintaining quality and judgment. • Support pre-sales efforts by joining early client conversations, helping frame opportunities, developing engagement approaches, contributing to proposals and SOWs, estimating work, and presenting Able's point of view. • Identify opportunities to deepen client relationships and expand impact while protecting trust, delivery quality, and a clear understanding of scope and outcomes. • Build and evolve Able's product strategy and design discipline: establish methods, standards, AI-enabled workflows, artifacts, and operating practices that enable exceptional client work today and scale with the company over time. • Provide functional leadership, coaching, and quality oversight for Able's current PM and design team; establish expectations for strong discovery, strategy, design collaboration, and delivery. • Help define the future structure, capabilities, hiring needs, onboarding approach, and internal tooling roadmap for an AI-native product and design practice. • Contribute to the strategy and roadmap for Able's internal platform, tooling, and operating systems when those efforts will strengthen client delivery or the broader practice.