Skillsoft
AI-native skills management
Manager,SoftwareEngineering
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Manager, Software Engineering at Skillsoft. Skills: Software Engineering Management, AI-native development, team building and mentorship, spec-first development, AI-assisted code review, cross-functional collaboration, product development lifecycle, AI evaluations, agentic architecture. Translates functional plans into operational delivery. guides cross-functional pods through ambiguity”
Industry & Context.
translate real user problems into shipped features; uses metrics to surface signal and unblock the team
What They're Looking For.
Must Have
Bachelor’s degree in Information Technology or Software Engineering
Nice to Have
Built or shipped products with AI-generated media pipelines — TTS narration, AI video generation, or multi-modal content production similar to Spark's podcast/video workflow, Background in authoring tool platforms or e-learning content publishing pipelines (SCORM, xAPI, CP pipeline)
What You'll Do.
Translates functional plans into operational delivery
guides cross-functional pods through ambiguity
Champions spec-first development
Applies AI-assisted code review
Partners with customers
and GTM to translate real user problems into shipped features
and release-readiness checkpoints
Fluent in AI evaluations
Familiar with LangGraph (or similar) agentic architecture
How You'll Work.
Team & Collaboration
guides cross-functional pods; Clearly communicate across engineering, product, and external; drive cross-squad alignment on shared ownership and review SLAs; Partners with customers, product, design, and GTM
Communication Scope
Clearly communicate across engineering, product, and external; drive cross-squad alignment
Process & Methodology
Translates functional plans into operational delivery, guides cross-functional pods through ambiguity with up to one-year delivery impact, Champions spec-first development as a force helps engineers write sharper specs, makes planning the starting point for ambitious work, and uses metrics to surface signal and unblock the team, runs spec, architecture, and release-readiness checkpoints as delivery gates, not ceremonies
Full Job Description
At Skillsoft, we believe skills fuel growth. Our mission is to empower every organization and every learner to turn constant change into continuous growth. As part of the team, your skills will help organizations understand what skills they have, what they need next, and how to apply them in ways that drive real performance and progress. Join us at Skillsoft, where we are redefining enterprise learning and helping organizations build their Skillsforce™ of the future. Through our innovative software technology platform, we bring together immersive multimodal learning experiences, advanced analytics, AI-driven insights, and world-class content to deliver measurable transformative impact at scale. At Skillsoft, we are building the Skillforce™ of the future—a workforce that is ready, adaptable, resilient, and equipped to thrive alongside rapidly evolving AI tool and technologies. We empower organizations and individuals to unlock their full potential in an ever-changing world. Skillsoft is seeking an adaptive, innovative experienced Software Engineering Manager who excels in dynamic product environments, possesses a genuine interest in AI-native development, and has a proven ability to build and mentor top-tier engineering teams during periods of rapid, as we look to build out our new next-generation LX Studio AI-native course designer and suite of technologies. This leader will be challenged with setting high standard for quality, communicate with clarity, and fostering an environment where team members can be their best and achieve their best work. If you’re driven to shape the future of workforce transformation and make a meaningful global impact while helping us build innovative software tools and technologies, we invite you to be part of what’s next. Responsibilities Translates functional plans into operational delivery processes; guides cross-functional pods through ambiguity with up to one-year delivery impact. Champions spec-first development as a force multipli
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