Top Tech Jobs & Startup Jobs

Leads AI-driven revenue enablement programs for sales teams, using call, CRM, pipeline, and performance data to identify execution gaps and build workflows that improve rep productivity and behavior. Owns product launch enablement, everboarding, skills development, manager coaching, certifications, and process adoption. Measures impact through adoption, win rate, ACV, pipeline conversion, ramp time, and productivity metrics while partnering with Sales, Product Marketing, RevOps, and senior executives.

Leads index research and develops thought leadership for Morningstar Indexes. The description provides limited role-specific responsibilities, but the position likely oversees research-driven content, insights, and strategic perspectives supporting the organization’s indexing business and external audience engagement.

Manage inbound homeowner leads through the full sales cycle for Hometap's home equity investment product. Serve as primary contact from first call to close, maintain a high-volume pipeline in Salesforce and internal systems, coordinate with underwriting and processing teams, meet monthly and quarterly sales targets, and ensure compliant, empathetic communication throughout the application process.

Talent Partner responsible for full-cycle recruiting across technical, commercial, and operational roles, while building scalable HR programs for onboarding, performance management, and employee experience. The role partners with hiring managers and leadership on sourcing, interview design, offers, headcount planning, workforce forecasting, employer brand, and broader People initiatives. Candidates should have 4–7 years of HR, recruiting, or people operations experience, ideally in a scaling technology or hardware company.

Lead Deepgram’s corporate legal function, including governance, IPO readiness, financings, M&A, employee equity, international subsidiaries, and regulatory developments. Partner with Finance, People, and company leadership to build scalable legal processes for a fast-growing AI company. Establish an AI-native legal practice while advising on a broad range of startup legal matters.

Supervises and develops a technical customer care team supporting Dealertrack DMS. Responsibilities include managing inbound contacts, cases, and task queues; coaching employees; conducting performance reviews; monitoring quality, metrics, SLAs, and regulatory adherence; supporting training and professional development; and managing payroll, timecards, PTO, and staffing requirements. The role also handles customer communications and ensures effective resolution of device, platform, and network-related issues.

Manages regional client and vendor relationships while supporting profitable business results through KPI tracking, vendor performance analysis, strategic sourcing, negotiations, and cost optimization. Conducts client needs assessments, aligns vendors geographically, supports quality control checks, assists estimation and project teams, resolves issues, and collaborates cross-functionally. Travel is expected up to 40% of the time.

Lead a small engineering team while remaining hands-on, guiding software development from design through delivery. Build new products and scale existing systems, establish technical excellence, collaborate with platform engineers and domain experts, and work directly with customers and end users to deliver decision-making platforms for defense and airspace safety.

Own end-to-end network reliability across data centers, AWS, and GCP, including routing, switching, DNS, load balancing, service mesh, VPNs, circuits, and cross-connects. Automate network configuration with Ansible, Terraform, GitOps, CI validation, and IPAM. Engineer failover, observability, security hardening, client connectivity, and Kubernetes ingress while participating in an interrupt-contained on-call rotation.

Administer and enhance Edmunds’ Databricks data platform and AWS infrastructure. Build and maintain ETL pipelines, infrastructure-as-code tooling using Terraform or CDK, and operational dashboards, alerts, and reports. Collaborate with business, engineering, analytics, security, and infrastructure teams to support data platform users and AI solutions. Evaluate new technologies, troubleshoot platform issues, and improve operational, cost, and security visibility.