Knowledge Manager (SharePoint) - Senior - TS/SCI - Fort Meade, MD

Role Overview We’re launching an internal AI/LLM venture and seeking a true co-founder who will lead our technical vision, drive product development, and build a world-class data science practice. You’ll partner directly with leadership, own the roadmap for th products, and help spin out a high-growth AI startup from within our organization. Key Responsibilities Technical Leadership: Define and execute the end-to-end AI/LLM technical strategy—from data ingestion and model selection to fine-tuning, scaling, and deployment. Product Development: Collaborate with product management to translate market needs into AI features; prototype rapidly and move to production. Team Building: Recruit, mentor, and manage data scientists, ML engineers, and AI researchers. Establish best practices for MLOps, A/B testing, and monitoring. Incubation & Operations: Set up infrastructure, tooling, and processes to support agile experimentation and continuous iteration within the incubator. Stakeholder Alignment: Present technical plans, milestones, and trade-offs to executive sponsors; coordinate with legal, security, and compliance for data governance. Go-to-Market Support: Work alongside go-to-market teams to craft demos, pilot programs, and proofs-of-concept that showcase our LLM capabilities to early customers. Equity & Ownership: Act as a true co-founder with an equity stake—aligning long-term incentives on growth, fundraising, and exit strategies. Required Qualifications Proven Co-Founder/Leadership Experience: Founded or co-founded at least one AI or data-centric startup, or led a ground-up AI initiative with demonstrable impact. Deep Data Science Expertise: Example: Master’s or PhD in Computer Science, Statistics, or related field; 3+ years in data science or ML engineering roles. LLM Mastery: Hands-on experience fine-tuning, evaluating, and deploying large-language models (e.g., GPT, LLaMA, Mistral) at scale. Production-Grade ML Ops: Expertise with infrastructure (Kubernetes, Docker), data pipelines (Airflow, Prefect), and model-serving frameworks (TensorFlow Serving, TorchServe). Cross-Functional Collaboration: Track record partnering with product, design, and commercial teams to ship AI-driven features under tight timelines. Fundraising Savvy: Comfortable presenting technical vision to investors and participating in pitch decks, due diligence, and board meetings. Preferred Experience Successful exit or fundraising round in an AI-focused venture Open-source contributions in NLP or ML communities. Familiarity with prompt engineering frameworks and evaluation metrics for generative AI. What We Offer Equity & Co-Founder Status: Significant founder equity in the new venture alongside a competitive salary. Autonomy & Resources: Backing from our parent company’s engineering, design, and go-to-market teams plus a dedicated R&D budget. Growth & Impact: A rare opportunity to incubate a cutting-edge business from day one and shape the future of AI within a growing organization.

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Application Manager This individual will be responsible for managing project execution, monitoring team performance, ensuring optimal resource allocation, and overseeing vendor relationships. The Application Manager will also ensure that cross-work stream interactions are efficiently managed and that all deliverables align with business objectives, timelines, and quality standards. A strong understanding of technology security practices and familiarity with security policies and compliance requirements within state agencies are essential to this role. Key Responsibilities: Team Coordination & Cross-Work Stream Interaction: -Facilitate coordination between cross-functional teams and work streams to ensure effective communication, knowledge sharing, and alignment across departments. -Drive collaboration between different teams, ensuring that each work stream is on track, with clear ownership and timelines. -Act as the main point of contact between work streams, ensuring that dependencies between teams are identified and managed proactively. Project Oversight & Progress Monitoring: -Develop comprehensive project plans that outline clear goals, milestones, deadlines, and responsibilities across multiple work streams. -Track the progress of all work streams within a project, ensuring that individual streams align with overall project objectives and timelines. -Address any delays or issues that arise, ensuring smooth project progression and that any interdependencies are handled efficiently. Resource Allocation & Bandwidth Management: -Monitor team capacity and bandwidth across work streams to ensure that resources are optimally allocated and that no team or individual is overburdened. -Reallocate resources as needed to maintain a balanced workload and ensure high-priority tasks are completed on time. -Ensure alignment of resources across multiple work streams to avoid conflicts and optimize productivity. Performance Tracking & Evaluation: -Continuously monitor and evaluate the performance of teams and work streams, using data to assess productivity and identify areas for improvement. -Provide regular feedback to team members and work stream leaders, identifying opportunities for process improvements or resource adjustments. -Report on the status of project deliverables and team performance to senior leadership, offering insights and actionable recommendations. Task Progression & Outcome Evaluation: -Ensure the timely completion of tasks across work streams, making adjustments as needed to accommodate shifts in priorities or resources. -Evaluate the outcomes of completed projects, identifying key successes and areas for future improvement. Risk, Security & Issue Management: -Proactively identify and address potential risks, including cybersecurity vulnerabilities or compliance issues, that may affect the progress or quality of work across different work streams. -Develop risk mitigation plans and implement corrective actions promptly to keep projects on course. -Ensure that all project risks, including those related to security policies and data protection, are communicated to stakeholders in a timely manner. -Maintain familiarity with state agency security regulations and ensure that applications and systems comply with applicable state and federal security policies and standards. Security Collaboration & Guidance: -Work closely with enterprise security teams to review and validate security architecture for applications across cloud, on-premises, and hybrid environments. -Provide ongoing security guidance to application development and DevOps teams, ensuring adherence to security best practices throughout the software development lifecycle (SDLC). -Collaborate on the implementation of secure CI/CD pipelines, integrating security checks such as static/dynamic code analysis, secrets scanning, and artifact integrity verification. -Guide teams on proper configuration and use of cloud security services (e.g., IAM, encryption, network security controls) in platforms such as AWS, Azure, or Google Cloud. -Assist in developing and enforcing infrastructure security standards, including secure provisioning, patch management, and hardening of resources across environments. -Participate in threat modeling and security risk assessments to proactively identify and mitigate vulnerabilities in application design and deployment strategies. Vendor Management & Collaboration: -Oversee relationships with external vendors, ensuring they deliver products and services on time and within agreed-upon terms. -Collaborate with vendors to resolve any project-related issues and ensure that their deliverables meet organizational and security standards. -Ensure that vendor engagements include appropriate security clauses, and that vendors adhere to state-mandated cybersecurity practices. Continuous Improvement & Process Optimization: -Identify opportunities to streamline workflows across work streams, improve communication, and increase efficiency. -Implement best practices and process improvements to optimize project execution, resource allocation, and team collaboration. -Continuously integrate security best practices into the application lifecycle and project management methodologies. Qualifications: -10+years’ experience in application management, project oversight, and cross-functional team coordination. -Strong leadership and organizational skills with a demonstrated ability to manage and oversee multiple teams and work streams simultaneously. -Proven experience collaborating with security architects and engineering teams to ensure secure application design and deployment. -Strong understanding of cloud security principles, including identity management, encryption, and network segmentation. -Experience with secure CI/CD practices and infrastructure-as-code security controls (e.g., Terraform, Ansible, GitOps). -Familiarity with security tools and platforms, container security, vulnerability management, and SIEM systems. -Demonstrated experience with cybersecurity principles, secure application development, and compliance with state agency IT security policies. -Familiarity with regulatory frameworks such as NIST, HIPAA, CJIS, or other relevant government security standards. -Experience in vendor management, including negotiation, performance tracking, and contract management. -Expertise in project management tools and methodologies, with the ability to track performance and optimize resources effectively. -Excellent communication skills with the ability to drive cross-functional collaborationand manage complex relationships. -            Strong problem-solving skills and the ability to manage risks and resolve issues in a timely manner.

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