Clearview AI

Role Description Clearview AI is the leading provider of facial recognition technologies to US law enforcement, state, and federal agencies. Our mission is to help our users solve crimes and prevent financial fraud with the responsible use of our facial recognition software. As a Customer Success Manager, you will play a pivotal role in shaping the customer experience, driving adoption, and expanding Clearview AI’s footprint within enterprise organizations. - Proactively manage a portfolio of enterprise customers from trial to implementation to ongoing delivery to expand the scope and scale of Clearview AI adoption. - Develop and build strong relationships with key customer stakeholders and executive sponsors: steering committees, regular visits (virtual/in-person), reports, events. - Understand customers’ needs and priorities to optimize the use of their platform. - Identify growth opportunities for up-sell and cross-sell within existing accounts. - Increase Net Revenue Retention through proactive and strategic engagement/expansion efforts. - Effectively communicate application features and product information for new releases and facilitate their adoption. - Be the voice of the customer and provide internal feedback on how Clearview products can better serve our customers. - Collaborate closely with various cross-functional teams (Product Management, R&D, Marketing and Sales) to drive better results. - Resolve billing and support inquiries in a timely and productive manner. - Coordinate small customer projects. - Assist in onboarding new team members. - Manage and optimize enterprise customer accounts, ensuring seamless onboarding, training, and ongoing support, with a focus on improving customer satisfaction and retention. - Exercise discretion and independent judgment in developing and implementing strategies to address customer needs and challenges. - Other reasonable additional responsibilities that may be asked from time to time. Qualifications - 8+ years of enterprise software or SaaS customer success/account management with specific experience supporting the public sector (military/government/law enforcement/public safety). - Experience providing product support at the user level. - Experience using CRM tools (ex: SFDC, Hubspot). - Well-organized and excellent time management abilities. - Proven ability to collaborate and build strong relationships with customers. - Exceptional oral and written communication skills and attention to detail. - Passion for technology and public safety. - Bachelor's degree or equivalent experience. - Ability to travel within the United States. - Candidates based in Florida, North and South Carolina are strongly preferred due to team collaboration and business needs. Benefits - Medical, Dental, Vision, STD and LTD Plans. - FSA - Medical and Dependent Care. - EAP and wellness programs. - 13 Paid Holidays. - Unlimited PTO. - Flexible work environment - 100% remote. - 401(k) plan. - The expected annualized salary compensation for this position is between $100,000 - $115,000 with participation in our stock equity plan.

• Build, train, evaluate, and deploy computer vision and multimodal models, taking them from early prototype through to production • Design systems that infer structured attributes and spatial context from imagery, combining learned models with geometric and heuristic reasoning • Train and fine-tune models on large, diverse real-world image datasets, and build the pipelines to curate and label that data at scale • Work with vision-language models (VLMs) and build rigorous evaluation frameworks to measure their accuracy on our tasks • Develop and benchmark high-performance image retrieval capabilities with embedding models and vector indexing strategies • Optimize models for inference latency and throughput using techniques like distillation, quantization, and GPU acceleration • Read current research, prototype novel algorithms from academic literature, and turn promising ideas into reliable production code • Implement efficient, scalable data pipelines and inference infrastructure • Develop high-performance tooling in ML and data engineering • Additional duties and responsibilities as reasonably required by the employee’s supervisor or CEO

Role Description We are hiring a highly technical individual contributor to push the limits of our computer vision and machine learning capabilities. This is a high-impact, hands-on role for a research-minded engineer who wants to build and ship models, not manage a team. Much of the work involves large-scale visual understanding, extracting structured signals from imagery and reasoning about the real-world context behind a photograph, but we care more about deep ML/CV ability than any one problem area and welcome strong generalists. - Build, train, evaluate, and deploy computer vision and multimodal models, taking them from early prototype through to production - Design systems that infer structured attributes and spatial context from imagery, combining learned models with geometric and heuristic reasoning - Train and fine-tune models on large, diverse real-world image datasets, and build the pipelines to curate and label that data at scale - Work with vision-language models (VLMs) and build rigorous evaluation frameworks to measure their accuracy on our tasks - Develop and benchmark high-performance image retrieval capabilities with embedding models and vector indexing strategies - Optimize models for inference latency and throughput using techniques like distillation, quantization, and GPU acceleration - Read current research, prototype novel algorithms from academic literature, and turn promising ideas into reliable production code - Implement efficient, scalable data pipelines and inference infrastructure - Develop high-performance tooling in ML and data engineering - Additional duties and responsibilities as reasonably required by the employee’s supervisor or CEO Qualifications - Experience building, training, evaluating, and deploying ML models in production - Strong experience using PyTorch, JAX, or other deep learning frameworks to develop and optimize models - Strong software engineering ability to build and maintain complex systems and work with large-scale datasets - Ability to solve open-ended problems and quickly learn new domains - Comfort operating with significant ownership and autonomy, making pragmatic trade-offs between model sophistication, velocity, inference and business constraints - BS, MS, or PhD in Computer Science or a related technical field, or equivalent practical experience Requirements - Experience inferring structured, real-world attributes from images - Experience training models on large-scale, real-world image datasets - Familiarity with vision-language models (VLMs) - Ability to digest academic literature, prototype novel algorithms, and bridge the gap between research and production code - Experience building LLM or VLM pipelines and the evaluation frameworks to measure their performance - Experience in an ML role at a growth-stage startup - Publications in major ML or computer vision conferences (e.g., CVPR, ICML, ICCV, WACV) Benefits - Medical, Dental, Vision, STD and LTD Plans - FSA - Medical and Dependent Care - EAP and wellness programs - 13 Paid Holidays - Unlimited PTO - Flexible work environment - 100% remote - 401(k) plan

• Meet sales quota and drive success within a specific territory of state and local law enforcement agencies achieving quarterly and annual sales targets • Develop and execute sales strategies and campaigns for new clients • Build and maintain a robust pipeline leveraging proactive prospecting and direct sales efforts, partners and strategic networking. • Cultivate and sustain strong client relationships to navigate and close complex enterprise deals • Develop deep customer insights into existing and new use cases, customer needs, internal decision making processes, budget cycles and other critical information. • Provide accurate quarterly forecasting of sales pipeline • Provide product feedback to cross-functional teams (product and engineering) to drive continuous product enhancements, updates and improvements of our products • Additional duties and responsibilities as reasonably required by the employee’s supervisor or CEO

• Meet sales quota and drive success within a specific territory of state and local law enforcement agencies achieving quarterly and annual sales targets • Develop and execute sales strategies and campaigns for new clients • Build and maintain a robust pipeline leveraging proactive prospecting and direct sales efforts, partners and strategic networking. • Cultivate and sustain strong client relationships to navigate and close complex enterprise deals • Develop deep customer insights into existing and new use cases, customer needs, internal decision making processes, budget cycles and other critical information. • Provide accurate quarterly forecasting of sales pipeline • Provide product feedback to cross-functional teams (product and engineering) to drive continuous product enhancements, updates and improvements of our products • Additional duties and responsibilities as reasonably required by the employee’s supervisor or CEO

• Meet sales quota and drive success within a specific territory of state and local law enforcement agencies achieving quarterly and annual sales targets • Develop and execute sales strategies and campaigns for new clients • Build and maintain a robust pipeline leveraging proactive prospecting and direct sales efforts, partners and strategic networking. • Cultivate and sustain strong client relationships to navigate and close complex enterprise deals • Develop deep customer insights into existing and new use cases, customer needs, internal decision making processes, budget cycles and other critical information. • Provide accurate quarterly forecasting of sales pipeline • Provide product feedback to cross-functional teams (product and engineering) to drive continuous product enhancements, updates and improvements of our products • Additional duties and responsibilities as reasonably required by the employee’s supervisor or CEO

• Execute the monthly FedRAMP CONMON calendar and ensure timely completion of all required artifacts and submissions. • Own monthly vulnerability remediation tracking: intake scan outputs, open/track remediation tickets, validate closure evidence, and ensure SLA adherence (e.g., 30/90/180-day timelines). • Maintain and update the Plan of Action and Milestones (POA&M): create/update POA&M items, document milestones, track due dates, coordinate risk statements with Legal, and route for approvals. • Generate and maintain monthly inventory and configuration evidence (e.g., Integrated Inventory Workbook/IIW updates, authorized software evidence, baseline/config drift support). • Prepare monthly CONMON reporting packages, including Monthly Security Status Reports, CONMON Executive Summary inputs, deviation requests, and other stakeholder reports required by the Sponsoring Agency, FedRAMP PMO, or Authorizing Official. • Prepare deviation and exception requests: gather technical justification, compensating control documentation, scope/impact statements, and route through required approvals. • Support continuous monitoring governance activities: access review evidence, log/monitoring review evidence, and coordination of corrective actions with Engineering and Security & IT. • Maintain the CONMON and ATO artifact repository in Google Drive (or designated system): version control, naming conventions, evidence indexing, and audit-ready structure. • Support annual security testing activities (e.g., penetration tests, red-team exercises if applicable, IR/ISCP tabletop exercises) by tracking schedules, collecting artifacts, and documenting remediation status. • Support annual 3PAO assessment coordination: evidence collection, interview scheduling, assessor Q&A tracking, and findings remediation tracking in partnership with the VP, Federal Operations. • Support significant change workflows: help determine compliance impact, document change narratives, update SSP appendices as required, and maintain change evidence for CONMON. • Track training compliance for federal systems (Rules of Behavior acknowledgements, required awareness training completion) in coordination with People Ops and Security & IT. • Serve as a primary day-to-day point of contact for internal stakeholders for FedRAMP evidence requests and compliance status updates; escalate risks and blockers to the VP, Federal Operations.

• Proactively manage a portfolio of enterprise customers from trial to implementation to ongoing delivery to expand the scope and scale of Clearview AI adoption • Develop and build strong relationships with key customer stakeholders and executive sponsors: steering committees, regular visits (virtual/in-person), reports, events • Understand customers’ needs and priorities to optimize the use of their platform • Identify growth opportunities for up-sell and cross-sell within existing accounts • Increase Net Revenue Retention through proactive and strategic engagement/expansion efforts • Effectively communicate application features and product information for new releases and facilitate their adoption • Be the voice of the customer and provide internal feedback on how Clearview products can better serve our customers • Collaborate closely with various cross-functional teams (Product Management, R&D, Marketing and Sales) to drive better results • Resolve billing and support inquiries in a timely and productive manner • Coordinate small customer projects • Assist in onboarding new team members • Additional duties and responsibilities as reasonably required by the employee’s supervisor or CEO • Manage and optimize enterprise customer accounts, ensuring seamless onboarding, training, and ongoing support, with a focus on improving customer satisfaction and retention. • Exercise discretion and independent judgment in developing and implementing strategies to address customer needs and challenges, working closely with cross-functional teams such as finance and marketing, to ensure successful customer outcomes. • As a Customer Success Manager, you will play a pivotal role in shaping the customer experience, driving adoption, and expanding Clearview AI’s footprint within enterprise organizations. • Other reasonable additional responsibilities that may be asked from time to time

• Generate and qualify new sales opportunities within state and local government accounts • Conduct outbound prospecting via email, phone, LinkedIn, and other channels • Research agencies, departments, and key stakeholders to identify relevant use cases • Schedule meetings and demos for State and Local Account Executives covering the United States • Maintain accurate activity tracking and pipeline data in Salesforce • Collaborate closely with Account Executives to develop targeted account strategies • Stay informed on public sector trends, procurement processes, and funding cycles • Additional duties as needed and directed by your manager