Lucid Software
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Lead onboarding, coaching, and enablement programs for North America Commercial sales. Design and deliver workshops, support new-hire ramp, coach reps and managers, translate global initiatives into regional enablement, and measure impact using data and AI insights to improve ramp time, methodology adoption, and quota attainment.
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Manage a large portfolio of SMB accounts through scalable, operational engagement—owning renewals, expansions, upgrades, downgrades, and cancellations; maintain accurate Salesforce data; analyze customer feedback to inform recommendations; build scalable playbooks; and collaborate cross-functionally to drive retention and expansion.
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Manage and execute core SaaS privacy and compliance programs including data mapping, vendor risk, retention, AI controls, and global regulatory monitoring. Partner cross-functionally, maintain documentation, deploy compliance tools, and design role-specific training and metrics to measure program effectiveness.
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Lead and operate core SaaS privacy and compliance programs (data mapping, assessments, sanctions, retention, vendor risk). Maintain documentation, tools, and OKRs; monitor global regulations (U.S./EU); manage AI controls; partner cross-functionally to implement controls and deliver role-specific compliance training and awareness.
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Manage and execute core SaaS compliance programs (privacy, data mapping, vendor risk, sanctions, retention), monitor global regulations (US/EU focus), implement AI controls, maintain documentation and compliance tooling, partner cross-functionally to mitigate risk, and design role-specific compliance training and OKR tracking.
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Design, script, and produce a wide range of customer learning experiences (webinars, in-app tutorials, videos, courses, workshops). Partner with product, CS, marketing, and SMEs to diagnose adoption challenges, research learner needs, and iterate using data and feedback. Maintain and publish content across learning platforms, build scalable reusable assets, and leverage AI and modern authoring tools to improve content quality and efficiency.
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Lead strategic expansion of existing accounts across assigned EMEA SMB territory. Prospect, build relationships, close expansion deals, collaborate with Customer Success, maintain forecasts and CRM hygiene, and drive adoption of Lucid products.
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As a Product Support Specialist, you'll engage with customers, manage technical issues, create user support content, and oversee the product community.
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Partner with GTM and Sales leadership to support operating rhythms, forecasting, planning, and performance reporting. Analyze data to produce insights and recommendations, drive process improvements and automation, manage sales targets and segmentation, and coordinate cross-functional initiatives with Finance, Marketing, and Customer Operations to scale revenue operations globally.
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Support GTM and Sales leadership with operating rhythms, forecasting, and business reviews. Produce data-driven analyses and recommendations, collaborate cross-functionally (Finance, Analytics, Marketing), deploy automated outreach workflows, manage sales targets and segmentation, and drive process improvements to scale revenue operations.
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Lead technical engagement for enterprise EMEA customers: deliver tailored demos, run deep discovery, lead pilots and workshops, define technical success and ROI, act as product SME, relay customer feedback to product, and build reusable SE assets to scale impact.
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Lead pre-sales technical engagements for enterprise customers across EMEA: deliver tailored demos, run technical discovery, lead pilots and workshops, act as product SME, translate customer needs into product feedback, and build reusable assets to scale the Solutions Engineering team.
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Lead execution of SaaS compliance programs including data mapping, privacy assessments, sanctions compliance, vendor risk, data retention and AI controls. Monitor global laws (US/EU), maintain documentation, deploy tracking tools, advise product and business teams, and design role-specific compliance training to mitigate regulatory risk across Lucid’s cloud-native environment.
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Lead onboarding, coaching, and enablement for EMEA sales teams. Design and deliver workshops, manager coaching, new-hire ramp programs, and regionally-tailored enablement assets. Use data and AI-enabled insights to diagnose skill gaps, measure impact, and drive quota attainment.
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Provide front-line technical product support, troubleshoot and escalate user issues, grow and manage product community, create and maintain Help Center and user education content, analyze user metrics, and collaborate cross-functionally to improve product and support.
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Lead product discovery, definition, development, launch, and iteration for B2B SaaS visual collaboration features. Partner cross-functionally to research customers, prioritize roadmaps, run experiments and prototypes, and identify where AI and automation can add value while balancing product polish, technical feasibility, and measurable business outcomes.
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Prospect and qualify accounts across APAC as a strategic partner to Account Executives. Execute multi-channel outreach (calls, emails, LinkedIn), support discovery calls and presentations, develop deep product knowledge to solve customer problems, manage pipeline using Salesforce/Salesloft/ZoomInfo, and contribute to territory planning and regional expansion. Hybrid role with in-office collaboration in Melbourne twice weekly.
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Lead strategic growth and expansion within assigned enterprise customers across EMEA, prospect and generate pipeline, manage complex sales cycles with internal stakeholders, drive renewals and expansions, and collaborate with CSMs and solution engineers to achieve quota.
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Lead AI platform and evaluation efforts to prototype, validate, and launch agentic and generative AI features for Lucid's visual collaboration products, partnering with Engineering, Design, Data Science, and product teams to build scalable foundations, experimentation, and evaluation practices.
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Lead AI product strategy and platform evaluation for generative and agentic features. Partner with engineering, design, and data science to prototype, validate, and launch scalable AI capabilities, improve experimentation and evaluation practices, and translate customer insights into trustworthy visual AI experiences.



