Top Tech Jobs & Startup Jobs

Drive new enterprise client acquisition for AI-driven workflow and decision-support solutions. Own C-suite engagement, consultative discovery, executive-level positioning, and deal conversion across complex, multi-stakeholder buying environments while partnering with AI, product, and solution teams to scale repeatable new-logo sales motions.

Senior Full Stack Engineer will design, develop, and deploy cloud-hosted distributed applications (Java/Spring, React). Collaborate with stakeholders, influence architecture, implement CI/CD, monitoring, TDD, and mentor teammates while improving delivery processes and working in Agile/DevOps environments.

Sell SaaS and data (DaaS) solutions to SMB named accounts by developing new opportunities, managing pipeline and forecasts, creating account strategies with cross-functional partners, preparing proposals and plans, and using Salesforce and automation tools. Travel to events 1-3 times per year.

Lead a team of 4-5 ML engineers to design, build, and operate scalable AI/ML systems and agentic architectures. Provide architecture and code guidance, establish ML engineering best practices, standardize LLM serving and retrieval infrastructure, implement safety guardrails and traceability, define evaluation frameworks for reasoning quality, and ensure CI/CD, data governance, and responsible AI compliance.

Lead product execution for Insurance and Healthcare portfolios by standardizing discovery, requirements, and documentation; ensure smooth handoffs to engineering; drive data/platform/integration excellence, UX design maturity, agile operating model improvements, measurable KPIs, and develop product execution, business analysis, and design leaders to scale delivery across multiple teams and verticals.

Build, design, and deploy cloud-hosted distributed applications to support scientific research. Collaborate with stakeholders and cross-functional Agile/DevOps teams, contribute to architecture and delivery improvements, and apply test-driven development practices.

Manage design, implementation, and governance of global sales compensation plans. Lead quota setting, incentive modelling, payments, performance analysis, documentation, training, and cross-functional stakeholder engagement to ensure fair, motivating, and compliant programs.

Lead modernization of patent data processing workflows by owning product roadmaps, driving AI-native automation, defining requirements and success metrics, running discovery and experimentation, partnering with engineering, operations and finance, and measuring productivity, quality, and cost improvements to enable scalable human-in-the-loop and agentic workflows.

Lead ideation, development, and execution of immersive special events, activations, lounges, and networking experiences. Collaborate with Sales, Sponsorship, Operations, Marketing, Legal, and Finance; manage talent, vendors, contracts, budgets, AV/production, on-site execution, and content capture for year-round repurposing. Use audience and community insights to inform strategy. Travel as required.

Lead and manage data engineering teams to build and maintain high-quality data pipelines, implement automation and performance scripts, integrate LLMs/Agentic AI, collaborate with product and engineering, oversee data modeling, ensure data quality, and support SEC-related data solutions.