Companies that use Seismic Learning

Source: Analysis of 100 job postings that mention Seismic Learning

My analysis shows that Seismic Learning is primarily purchased by learning and development leaders (18%), enablement managers (16%), instructional designers (13%), and training managers (11%). These buyers sit within Revenue Enablement, Sales Operations, Customer Success, and HR Learning teams. Their strategic priority is clear: they need to accelerate onboarding, reduce ramp time, and scale training programs across global, often remote-first workforces. They're hiring for roles that can bridge technical content creation with strategic program design.

The day-to-day users are practitioners who transform existing materials like slide decks and PDFs into interactive digital learning experiences. They're building compliance training, product knowledge modules, sales playbooks, and role-specific certification programs. I noticed frequent mentions of creating content using tools like Articulate, Camtasia, and Adobe Creative Suite, then deploying through Seismic Learning alongside their LMS platforms. These users manage content libraries, track learner progress, administer assessments, and continuously update training materials.

The recurring pain points center on speed and scale. Companies want to "launch faster" and "decrease ramp time" while creating "engaging, effective learning experiences that drive performance." One posting emphasized the need to "transform the way that learning and training happens" while another sought someone who could "reduce administrative burden" and deliver "just-in-time learning." These organizations are managing distributed teams and need centralized platforms where training can be accessed on-demand across multiple geographies and business units.

Source: Analysis of tech stacks from 339 companies that use Seismic Learning

I noticed that Seismic Learning users operate in a very specific category: they're B2B companies with sophisticated, sales-driven growth models that require constant enablement and optimization. The presence of Seismic itself (the sales enablement platform) appearing nearly 5000 times more often tells me these companies view sales enablement as mission-critical infrastructure, not a nice-to-have. They're investing heavily in equipping their revenue teams to perform at scale.

The pairing with Gainsight is particularly revealing. When I see companies using both a learning platform and customer success software, it signals a complex sale with long implementation cycles where customer retention depends on ongoing education. These aren't transactional businesses. They're likely selling enterprise software or services that require continuous relationship management. The Decagon AI correlation suggests they're also modernizing their support operations, probably dealing with technical customer inquiries at volume. Cultureamp's presence indicates these are growth-stage companies large enough to worry about culture and employee engagement systematically, not just ad hoc.

My analysis shows these are firmly sales-led organizations, likely in the growth or scale-up stage with 200 to 2,000 employees. The combination of PagerDuty and OneLogin points to technical products, probably SaaS platforms where uptime and security matter deeply to customers. They've moved past founder-led sales into building repeatable revenue engines. The heavy investment in enablement tools suggests they're hiring sales teams quickly and need systematic onboarding and ongoing training to maintain quality across a distributed workforce.

Source: Analysis of Linkedin bios of 339 companies that use Seismic Learning

I noticed that Seismic Learning's customers span a remarkably diverse range of sectors, but they share a common thread: they're complex organizations operating in highly regulated or technically sophisticated domains. These aren't simple product companies. They're building enterprise software platforms (Procore, MongoDB, Workato), delivering critical healthcare solutions (Siemens Healthineers, Resmed, Viz.ai), managing vast financial services operations (Webster Bank, FIS, Mastercard), or manufacturing specialized products at global scale (Micron Technology, Qualcomm, Axalta). Many operate in industries where mistakes are costly and expertise is non-negotiable.

These are predominantly mature, established enterprises. The signals are clear: employee counts frequently exceed 1,000 (often 5,000-plus), many are publicly traded or have reached late-stage funding rounds (Series D and beyond), and they operate across multiple countries. Companies like Siemens Healthineers have 125 years of history, while even younger firms like Procore have "more than two decades of experience." This isn't the scrappy startup segment.