Top Tech Jobs & Startup Jobs

Develop customer analytics that improve retention, growth, adoption, and operational performance. Build and maintain BI dashboards, customer health metrics, churn-risk reporting, and predictive models. Partner with Client Success, Product, Sales, and Operations to translate complex findings into actionable recommendations. The role also owns data quality, governance, reporting automation, workflow improvements, and stakeholder communication.

Leads full-cycle recruiting for complex, high-impact product and technology roles. Advises hiring managers using market intelligence, compensation data, and recruitment metrics; sources and engages active and passive candidates; manages stakeholder communications; improves recruiting processes; builds talent pipelines; and mentors recruiters.

Build and operate LLM-powered features and agentic workflows for insurance claims using Python and TypeScript. Responsibilities include developing NLP pipelines, evals, guardrails, event-driven services, durable workflows, observability, data models, and privacy and security controls. The role owns AI features end to end, from design and collaboration through production, monitoring, on-call support, and continuous improvement.

Leads the centralized GTM Enablement Center of Excellence, establishing strategy, governance, role-based onboarding, seller readiness, sales methodology, tool adoption, content standards, and change management. Partners with Sales, RevOps, Marketing, Product, Customer Success, Learning, Analytics, and Systems teams to improve seller productivity, field execution, process adoption, ramp time, pipeline quality, and revenue outcomes. Builds scalable operating models, measurement frameworks, and reinforcement mechanisms for commercial teams.

Design, deploy, and manage secure, scalable cloud platforms across Azure and AWS for AI and machine learning applications. The role focuses on infrastructure as code, CI/CD, observability, Kubernetes, security tooling, reliability, cost optimization, and operational excellence. The engineer partners with development and ML teams, mentors engineers, resolves critical production issues, leads cross-functional initiatives, and participates in an on-call rotation.

Advises automotive repair clients on accounting, financial management, and operational improvements. Assesses workflows and financial statements, identifies process gaps, designs future-state processes, develops action plans, tracks KPIs, delivers training, and leads implementation and continuous improvement. Presents recommendations to client and internal stakeholders while supporting adoption, performance improvement, retention, and renewal. Requires nationwide travel of up to 75%.

Work with the CSO & Innovation team to prototype and implement agentic AI, conversational avatars, mobile demos, RAG/LLM pipelines, dashboards, and 3D assets. Build POCs, lightweight iOS apps, interactive demos, and internal tools while conducting rapid research and collaborating with cross‑functional teams to accelerate AI innovation.

Lead client-facing pre-sales engagements for Auto Physical Damage solutions. Conduct carrier process reviews, map claims workflows, identify pain points, recommend solutions, deliver tailored demonstrations, create executive presentations, and support technical discovery throughout the sales cycle. Collaborate with Sales, Product, Marketing, Client Success, and Implementation teams to align client needs, product capabilities, and implementation expectations.

Leads strategic technology partnerships, establishing governance frameworks, KPIs, performance reporting, and executive engagement models. Evaluates partner capabilities, commercial value, risk, and contractual commitments; drives escalations, value realization, and measurable business outcomes. Coordinates Product, Technology, Security, Finance, Procurement, and external partners to align capabilities with technology priorities, optimize vendor relationships, reduce redundancy, and identify opportunities involving cloud and AI technologies.

Supports enterprise customers through complex technical troubleshooting, API support, incident leadership, and resolution ownership. Builds expertise in customer environments, identifies operational risks, and recommends reliability improvements. Coordinates Engineering, Product, Support, Sales, and external partners without direct authority. Leads technical communications, service reviews, root-cause discussions, and escalation processes while analyzing service metrics and improving support tooling, documentation, automation, and operational practices.