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The role focuses on hunting for and closing new business while retaining and growing key corporate clients. Responsibilities include generating leads from banks and agencies and selling specialized financial products like trade credit insurance.
Develop and scale the web platform's content management architecture using both front-end and back-end services. Collaborate with product teams and architects to design and implement the technical roadmap within an Agile Scrum environment.
The role focuses on securing technical wins by architecting scalable solutions and acting as a trusted advisor for large enterprise customers. It involves driving product innovation through customer feedback and collaborating cross-functionally to accelerate business growth.
Build and scale a partner ecosystem of VARs, MSSPs, and SIs to drive partner-sourced and influenced revenue. Manage co-selling efforts with Account Executives and execute strategic business plans to establish BlinkOps as a leader in agentic security.
Lead a high-performing analytics organization supporting Growth, Sales, and Finance to drive revenue and strategic decision-making. Define the analytical roadmap, establish data standards, and manage a team of 15+ analysts.
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Provide high-level administrative support to the Chief Investment Officer and two VPs, managing complex calendars and global travel. Handle sensitive communications, triage inbound requests via Slack, and prepare briefing materials for meetings.
Lead enterprise financial planning, long-range modeling, and performance management to support the company's scale. Serve as a strategic partner to the CFO and executive team to inform investment, growth, and profitability decisions.
Implement customer projects focusing on clusters, containers, automation, and CI/CD solutions. Design cloud services according to architecture guidelines and maintain cloud platforms while providing technical support to junior engineers.
Lead demanding customer projects focusing on custom cluster, container, automation, and CI/CD solutions. Design and optimize container platforms while providing technical coaching and long-term support to clients.
The role serves as the primary authority on the competitive landscape, synthesizing market signals into actionable narratives for executive decision-making. Responsibilities include managing competitive monitoring, conducting strategic deep dives, and leading the competitive intelligence data strategy.
Lead technical engagements and customized demonstrations to match client needs with the SaaS platform's capabilities. Collaborate with product teams to translate customer feedback into feature enhancements and manage the end-to-end delivery of product trials.
Lead the architecture and implementation of a medallion lakehouse in Microsoft Fabric to power self-serve analytics. Design AI-powered tools and data pipelines while mentoring a cross-functional team of data engineers and analysts.
The CTO will define the long-term technical architecture for AI systems and infrastructure while building a global engineering organization from the ground up. They will lead technical execution, establish engineering standards, and align workstreams across product and research teams.
Own the creation of visual, video, and application-based content to make complex robotic vision technology easier to understand and trust. Produce a wide range of assets including application videos, social media content, and sales enablement media to support demand generation and customer conversion.
Lead strategic relationships with C-suite stakeholders to drive value realization and measurable business outcomes for key accounts. Act as the internal voice of the customer to influence product roadmap, implementation practices, and go-to-market strategy.
The role involves defining end-to-end AI system requirements and translating model capabilities into product decisions. The manager will collaborate with engineers to balance quality, latency, and cost while owning the overall product quality and user trust.
Lead the engineering strategy and execution to transform Machine Learning capabilities into reliable user experiences across backend, mobile, and desktop platforms. Manage a senior applications team while setting the architectural direction for AI-powered workflows and APIs.
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The VP of Research will lead the intelligence direction of the system, defining how AI reasons, evaluates, and improves. They will oversee model architecture decisions, evaluation frameworks, and the overall alignment and safety strategy.
Design and develop custom technical solutions for clients using SQL, Python, and proprietary software to deliver meaningful business outcomes. Translate client business requirements into technical deliverables and provide strategic guidance on data landscapes.
Lead a team of Account Managers to drive renewals, expansion, and product adoption for large financial services clients. Build the operational systems and processes necessary to scale predictable growth and align with Product and Sales teams.
Build end-to-end product features and design agent workflows that handle planning, tool use, and recovery. Integrate LLMs and external tools to create reliable, production-grade AI systems with low latency.
Implement and maintain EpicCare systems and databases to ensure optimum performance and workflow efficiency. Manage complex IT projects, facilitate system updates, and conduct technical reviews to meet business needs.
Build and improve core ML components across data, training, evaluation, and inference for real production systems. Debug model issues and iterate on features based on real-world user feedback and production constraints.
Architect and build large-scale ML systems covering training, inference, and deployment. Set technical standards for ML infrastructure and optimize GPU performance for production-grade systems.
The role involves translating research into scalable, production-grade ML systems and owning the end-to-end execution of data pipelines and inference architecture. You will be responsible for fine-tuning models and optimizing GPU performance to ensure reliability and low latency in real-world products.
The role involves building and owning critical machine learning subsystems from data preparation to production deployment. You will collaborate cross-functionally to turn research ideas into scalable, reliable AI products while mentoring other engineers.
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The Director of Quality Operations provides technical leadership for the administration and improvement of the Quality Management System. They ensure all development and commercial operations comply with company standards and global regulatory requirements.
The Software Engineer will build and maintain cross-platform desktop applications using Electron, focusing on reliability and real-time performance. Responsibilities include integrating AI-powered features and optimizing system behavior across macOS and Windows environments.
Own the end-to-end execution of ML systems, translating research into scalable production-grade solutions. Responsible for data pipelines, model fine-tuning, and optimizing inference systems for latency and cost.
The consultant provides operational support, coaching, and guidance to volunteer chapter leaders to ensure effective governance and member engagement. They identify trends across their portfolio to improve organizational resources and simplify complex administrative processes.
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