Top Tech Jobs & Startup Jobs

Leads the DevOps function, managing the team while remaining hands-on with cloud infrastructure, CI/CD, Infrastructure as Code, Kubernetes, observability, security, disaster recovery, and cost optimization. Establishes operational processes, owns the DevOps roadmap, supports data engineering infrastructure, participates in on-call rotation, and partners across engineering to improve reliability, automation, and delivery performance.

Generate qualified pipeline through targeted phone, email, and LinkedIn outreach. Research accounts, identify prospects, manage inbound leads, personalize messaging, qualify opportunities, schedule sales meetings, track engagement signals, and provide strong handoffs to Sales Executives. The role requires meeting pipeline and activity goals while contributing ideas to outreach processes and working Pacific Time core hours.

Leads revenue operations and strategy across Sales, Marketing, and Customer Success. Owns HubSpot architecture, administration, automation, reporting, and data quality; manages the broader revenue technology stack; deploys AI for forecasting and lead scoring; develops revenue forecasts, dashboards, and predictive analytics; optimizes lead-to-cash workflows and deal desk operations; and establishes planning, pipeline review, and cross-functional operating processes.

Early-career Marketing Associate supporting B2B SaaS campaigns across email, content, webinars, outbound programs, paid media, and digital marketing. Responsibilities include building HubSpot emails and automations, updating WordPress pages, managing audience segmentation, supporting Apollo campaigns, creating basic Canva graphics, conducting campaign quality assurance, tracking performance, researching markets, and maintaining marketing assets. The role is contract-to-perm and intended for a recent graduate or candidate with less than one year of marketing experience.

Lead design and delivery of enterprise BI solutions using Power BI and Microsoft Fabric. Build data models, dashboards, real-time analytics, and AI-powered insights. Collaborate with stakeholders, Data Engineering, and US leadership to turn complex requirements into scalable, high-performance reports and analytics solutions.