K2United

Content Marketing Manager

• Develop multi-channel content plans and campaign messaging that translate marketing leadership direction into executable content strategies, timelines, and deliverables.
• Write and refine marketing emails, value proposition collateral, classroom implementation collateral, blogs, social media copy, webinar content, conference presentations, campaign messaging, and sales enablement assets.
• Create content that supports clear, coordinated market conversations across priority audiences and ecosystems, including CTE, workforce development, small business, and government cybersecurity.
• Improve marketing content discoverability through SEO-, AEO-, and GEO-informed recommendations, updates, topic alignment, and optimization workflows.
• Evaluate and apply emerging AI-enabled content, search, and optimization practices that support marketing performance and audience engagement.
• Author sales and business development enablement content that connects customer pain points, use cases, outcomes, differentiators, and proof points.
• Refresh and repurpose existing content across formats, audiences, channels, and use cases so high-value assets remain current, useful, and easier to reuse.
• Coordinate content review and delivery workflows so assets move from brief to approved or delivery-ready state with clear ownership, timely input, accuracy, and brand alignment.
• Partner with Marketing Leadership, Sales, Business Development, Graphic Design, Product Design, Conference stakeholders, and presenters to keep content aligned and moving.

Senior Marketing Content Specialist

Data Engineer

• The Senior Data Engineer will own the data engineering function on K2Share's Federal Team, partnering with technical and product leadership to deliver data products that support mission-critical decision-making for federal agency clients.
• Design and build relational data layers that handle OSCAL and other structured compliance data - including ingestion, validation, transformation, and export workflows that preserve fidelity to source schemas across the full data lifecycle
• Design and maintain data models that support governance, risk, compliance, scoring, and reporting workflows for federal cybersecurity programs, with OSCAL as the connective layer across them - including long-term retention and archival policies that align with federal recordkeeping and audit requirements
• Design and build big-data processing pipelines on Databricks (PySpark, Delta Lake, Unity Catalog) that normalize cybersecurity data from across federal agency environments and produce analytical layers for trend analysis, executive reporting, and cross-program insights
• Optimize data systems for performance and cost - identifying I/O and compute bottlenecks, scaling compute responsibly, and balancing throughput against the cost discipline federal engagements require
• Architect, build and maintain AWS data infrastructure that meets federal security and operational requirements - working across services such as S3, Bedrock, Lambda, Fargate, and EC2 in support of compliance and analytical workloads
• Design and implement audit-ready data primitives - change capture, access controls, validation, and lineage — that support agency reporting and continuous monitoring needs
• Lead AI-first development and responsible AI deployment on the data team - using AI development tools as a standard part of the engineering loop, prototyping AI-assisted compliance workflows, and designing the production AI systems behind them (RAG architectures, vector store management, conversational agents, prompt and output guardrails, and evaluation pipelines), in alignment with federal AI governance guidance (OMB, NIST AI RMF)
• Engage with federal agency stakeholders and internal teams during requirement discovery, delivery, and ongoing support — translating compliance needs into data products and customer feedback into improvements

Senior Marketing Content Specialist

Senior Data Engineer – Design, Architecture