Prosum Inc.

Role Description Our client is a fast-growing, high-velocity SaaS company seeking a highly motivated and detail-oriented Third-Party Risk Management (TPRM) Consultant for an immediate engagement. In this role, you will be a key contributor to our Governance, Risk, and Compliance (GRC) organization, taking immediate ownership of a critical backlog of vendor risk assessments. We need a consultant who leverages cutting-edge AI tools to accelerate the assessment lifecycle, applying critical analysis to balance our business velocity with our defined risk appetite. - Execute the TPRM Process: Conduct comprehensive, end-to-end risk assessments on third parties. Analyze security controls, SOC 2 Type II reports, ISO certifications, and compliance documentation, gathering necessary details directly from vendors. - Drive AI-Powered Efficiency: Leverage Claude and other advanced AI tools to rapidly parse, summarize, and extract key findings from vendor compliance artifacts, significantly reducing time-to-assessment while highlighting material risks. - Identify Critical Systems & Assets: Partner with internal technical and business teams to map sensitive data, determine inherent risk, and identify complex processor/ sub-processor relationships. - Prioritize by Risk Appetite: Categorize third parties (tiering) to guide reassessment depth. Evaluate gaps through the lens of our risk appetite, ensuring we secure our supply chain without unnecessarily blocking business velocity. - Support Contracting: Partner with our legal and procurement teams to ensure critical security and data protection requirements are accurately captured in vendor contracts. - Maintain Accurate Records (OneTrust): Document all assessment activities, findings, and mitigation efforts with high data integrity inside our TPRM platform (OneTrust). - Provide Operational Support: Guide internal business owners and external third parties smoothly through the TPRM pipeline, answering technical questions and resolving bottlenecks. Qualifications - 5+ years of direct experience conducting complex, end-to-end third-party risk assessments, preferably in a fast-paced SaaS, tech, or regulated environment. - Direct, practical experience leveraging LLMs (Cursor, Claude, Gemini) to optimize workflows, analyze long-form documents, and accelerate evidence collection. - Deep understanding of information security/data protection frameworks (SOC 2, ISO 27001, NIST CSF) and global regulations (GDPR, CCPA, and the EU AI Act). - Hands-on, intermediate-to-advanced experience with OneTrust, including navigating workflows and managing assessment data. - Exceptional problem-solving abilities. You don't just check compliance boxes; you look at actual architectural risks and can clearly articulate business impacts to stakeholders at all levels. - A proven ability to hit the ground running on day one, take total ownership of your queue, and prioritize effectively in a dynamic, high-velocity environment. Preferred Qualifications - Relevant certifications such as CRISC, CISA, CISSP, CISM, or CTPRP. - Familiarity with data analysis and visualization tools like Power BI to support data driven risk reporting.

Role Description We are seeking an AI/ML Operations Support Engineer to support enterprise machine learning and generative AI platforms in production environments. This role is focused on platform operations, production support, monitoring, deployment support, troubleshooting, automation, and governance across cloud-based AI ecosystems. This is not a pure machine learning development role. The ideal candidate will have experience supporting AI/ML solutions in production and ensuring reliability, performance, scalability, and operational readiness. Qualifications - 3-7 years of experience supporting cloud-based applications and platforms. - Experience supporting machine learning, generative AI, or advanced analytics platforms in production environments. - Strong cloud experience, preferably within AWS or similar enterprise cloud platforms. - Experience supporting APIs, integrations, and distributed systems. - Ability to work independently while collaborating effectively across teams. - Strong troubleshooting and problem-solving skills. Requirements - Experience supporting cloud-hosted applications and services in production environments. - Experience administering or supporting AI/ML platforms, model-serving environments, or generative AI solutions. - Hands-on experience supporting MLOps and/or LLMOps processes. - Experience deploying, maintaining, monitoring, and troubleshooting machine learning models in production. - Familiarity with model-serving infrastructure, inference endpoints, vector search technologies, and AI application support. - Experience with observability, model monitoring, alerting, performance management, drift detection, or governance processes. - Experience using Python or similar scripting languages for automation and operational support. - Experience supporting containerized environments and orchestration platforms. - Familiarity with CI/CD pipelines and infrastructure automation. - Understanding of machine learning lifecycle management from deployment through retirement. Benefits - Strong production support and incident management experience. - Ability to identify root causes and resolve complex technical issues. - Experience creating operational dashboards, metrics, monitoring, and alerting frameworks. - Excellent communication and collaboration skills. - Experience working with cross-functional engineering, data, and business teams. - Experience in Agile delivery environments. Key Responsibilities - Support enterprise AI/ML and generative AI platforms to ensure high availability, performance, and reliability. - Monitor production AI workloads and proactively address operational issues. - Troubleshoot model deployments, inference services, platform infrastructure, and data pipeline issues. - Participate in operational support and incident response activities. - Support model deployment, promotion, rollback, and lifecycle management processes. - Maintain version control, deployment governance, and operational standards. - Validate deployment readiness through testing and operational reviews. - Implement and maintain monitoring solutions for model health, prediction quality, latency, throughput, utilization, and operational compliance. - Create dashboards, reporting, and alerting capabilities to improve visibility and reliability. - Support governance, security, and responsible AI requirements. - Develop automation solutions to improve operational efficiency and reduce manual effort. - Support CI/CD processes and infrastructure automation initiatives. - Contribute to MLOps, LLMOps, observability, and platform reliability best practices. - Partner with Data Scientists, ML Engineers, Platform Engineers, Data Engineers, and Application Teams. - Collaborate with Cloud, Infrastructure, Security, and Architecture teams to support scalable AI solutions. - Contribute to documentation, knowledge sharing, and operational readiness efforts. Ideal Candidate The successful candidate will have a strong operations mindset, understand how AI/ML solutions function in production environments, and be comfortable troubleshooting across infrastructure, platform, application, and model layers. They should be capable of working independently, adapting to evolving technologies, and supporting multiple AI/ML platforms rather than a single vendor-specific solution.

Role Description A growing organization is seeking a Senior BI / Analytics Engineer to help build and scale a modern data and analytics ecosystem. This role will focus on designing and maintaining scalable ELT pipelines, data models, semantic layers, and executive-level dashboards using modern cloud data technologies. The ideal candidate brings deep expertise in dbt, Snowflake, Power BI, and modern ingestion platforms, with a strong foundation in data modeling, analytics engineering, and business intelligence best practices. Key Responsibilities - Semantic Layer & Data Modeling - Develop and maintain semantic layers supporting operational and executive reporting - Create dimensional and subject-area data models aligned to business functions including CRM, sales, marketing, finance, operations, compliance, and customer support - Standardize KPIs, metrics, calculations, and business definitions across reporting environments - Collaborate with stakeholders to translate business requirements into scalable analytics solutions - Data Transformation & ELT Orchestration - Design, build, and optimize dbt Cloud transformation models including staging, core, and mart layers - Implement automated testing frameworks for schema validation, data quality, and business logic - Manage dbt Cloud job scheduling, orchestration, and deployment workflows - Ensure reliable ingestion-to-transformation-to-delivery pipelines - Snowflake Administration & Optimization - Configure and manage Snowflake warehouses, roles, permissions, and resource monitors - Optimize warehouse performance, scalability, and cost management - Configure and maintain connectors and integrations with operational systems - Troubleshoot data pipeline and query performance issues - Data Ingestion & Integration - Configure and maintain Fivetran connectors and ingestion pipelines - Support API-based ingestion processes where needed - Monitor connector health, schema drift, and incremental loading processes - Maintain integrations across multiple enterprise systems and data sources - Analytics & Dashboard Development - Design and develop interactive dashboards and reporting solutions using Power BI - Build advanced DAX calculations, semantic models, dataflows, and row-level security configurations - Deliver analytics solutions supporting Sales, Marketing, Finance, and Operations teams - Provide end-user training and documentation to support adoption and governance - Data Quality & Governance - Implement automated monitoring, alerts, and data quality controls - Maintain lineage and documentation across analytics and transformation platforms - Perform data reconciliation and troubleshooting across multiple source systems - Support governance, consistency, and reporting accuracy initiatives Qualifications - 7+ years of experience in BI Engineering, Analytics Engineering, Dashboard Development, or ELT-focused roles - Deep hands-on expertise with dbt including modeling, testing, documentation, and orchestration - Strong experience with Snowflake administration, optimization, and performance tuning - Advanced Power BI experience including: - Semantic modeling - DAX development - Dataflows - Row-Level Security (RLS) - Governance best practices - Experience with Fivetran connectors and API-based data ingestion - Strong SQL development and dimensional data modeling skills - Experience integrating and reconciling data from platforms such as Salesforce, HubSpot, NetSuite, QuickBooks, and call-center systems - Strong analytical, troubleshooting, and communication skills Preferred Qualifications - Experience with Python, C#, or other programming languages - Exposure to Azure data services, Functions, or API Gateway technologies - Background supporting financial services, regulated industries, or compliance-focused environments - Experience with Power BI administration and enterprise governance Preferred Technical Environment - dbt Cloud - Snowflake - Power BI - Fivetran - SQL - Salesforce - HubSpot - NetSuite / QuickBooks - API integrations - Cloud-based analytics platforms Additional Information - Senior-level opportunity with high visibility and impact - Opportunity to help build and modernize enterprise analytics infrastructure - Collaborative, data-driven environment - Competitive compensation and benefits package available based on experience

Role Description We are seeking a Fiber Network Engineer to support the design, documentation, and management of physical fiber optic infrastructure across a large-scale telecommunications network. This role focuses on outside plant (OSP) fiber design, route engineering, and network inventory management to support fiber-based services. The ideal candidate has experience in fiber network planning, GIS-based tools, and telecom infrastructure design, with strong attention to detail and the ability to collaborate across engineering, GIS, sales engineering, and field operations teams. Key Responsibilities - Design fiber routes for network services including point-to-point, ring, and path-diverse architectures - Develop fiber design schematics for new builds, relocations, and restoration projects - Plan and document fiber splicing and construction requirements for field implementation - Research and analyze existing network records, databases, and documentation to support fiber design and optimization - Maintain accurate fiber network inventory, including fiber routes, enclosures, conduit, and related assets - Update and manage fiber circuit and asset data in network inventory and database systems - Ensure accuracy of fiber usage and capacity tracking across systems - Collaborate with internal teams including Outside Plant (OSP), GIS, Sales Engineering, and Fiber Visualization teams - Support fiber relocation, restoration, and infrastructure modification projects - Maintain effective communication with internal stakeholders and cross-functional teams - Prioritize and manage workload to meet project timelines and business needs - Support additional engineering and operational tasks as needed Qualifications - Bachelor's degree in Engineering or related field, or equivalent telecom network experience - 3-7+ years of experience in fiber network design, OSP engineering, or telecom infrastructure - Strong understanding of fiber optic network design principles and outside plant engineering - Experience working with network inventory or database management systems - Proficiency in Microsoft Office Suite, including MS Visio - Strong analytical, organizational, and time management skills - Ability to work independently and manage multiple priorities - Strong communication and collaboration skills across technical and non-technical teams Preferred Qualifications - Experience in the telecommunications industry - Familiarity with GIS-based tools and mapping platforms - Experience with Salesforce or similar CRM platforms - Working knowledge of fiber network design standards and best practices - Experience supporting large-scale fiber network deployments or expansions Additional Information - Role reports to Engineering leadership - Works closely with OSP, GIS, Sales Engineering, and network visualization teams - Focus on accuracy, documentation, and network integrity across fiber infrastructure - Fast-paced, collaborative engineering environment

Role Description A technology organization focused on advanced data security solutions is seeking a Vice President, Engineering and Product to lead integrated hardware and software strategy, product development, and engineering execution. This executive role oversees roadmap development, agile delivery, and engagement with customers and partners across defense, intelligence, and enterprise environments. The position operates at the intersection of product management, engineering leadership, and mission delivery. Key Responsibilities - Product and Technology Strategy - Define and lead integrated hardware and software product roadmaps aligned with market and customer requirements - Drive innovation in data-at-rest security, Zero Trust architectures, and edge computing environments - Translate emerging requirements (e.g., CSfC, post-quantum cryptography, AI-driven threats) into product strategy - Engineering Leadership - Lead and scale agile engineering teams across hardware, firmware, and software domains - Establish and maintain agile development processes to ensure predictable delivery and high-quality output - Oversee full product lifecycle, including concept, development, testing, deployment, and sustainment - Program and Execution Management - Align engineering execution with customer programs, delivery timelines, and compliance requirements - Drive cross-functional coordination across engineering, product management, and partner teams - Ensure delivery of secure, scalable, and mission-ready solutions - External Engagement - Serve as a technical and strategic representative for solutions and capabilities - Engage with defense and intelligence stakeholders, system integrators, OEM partners, and industry organizations - Support participation in industry events, customer briefings, and strategic discussions Qualifications - 10+ years of leadership experience in engineering, product management, or technology strategy - Proven experience managing agile teams delivering complex hardware and software systems - Strong background in cybersecurity, encryption, or data protection technologies - Demonstrated experience developing and executing product roadmaps Preferred Qualifications - Experience supporting defense or government programs - Familiarity with CSfC, National Security Systems, or related security frameworks - Experience with edge computing, embedded systems, or secure storage technologies - Background in defense, aerospace, or regulated technology markets Core Competencies - Strategic and operational leadership - Strong communication skills across technical and non-technical audiences - Ability to influence internal and external stakeholders - Experience acting as a technical advisor or industry representative - Mission-focused mindset with emphasis on security and reliability Position Summary This role provides the opportunity to lead development and delivery of advanced security technologies designed to protect sensitive data in complex and high-assurance environments. The position has significant impact on product direction, engineering execution, and customer outcomes in mission-critical applications.