Top Tech Jobs & Startup Jobs

Own enterprise new-logo acquisition and expansion while personally closing complex, high-value deals and carrying an individual quota. Hire, coach, and develop Enterprise AEs and SDRs; establish forecasting, pipeline, conversion, and sales operating cadences. Partner with Marketing, Product, Customer Success, Partnerships, Legal, and Finance, while presenting performance and strategic recommendations to executives and the board.

Generate qualified pipeline via outbound prospecting and inbound lead qualification. Research accounts, engage executives, schedule meetings for AEs, support ABM and events, maintain CRM activity, collaborate with marketing, sales, partners, and report on pipeline and outreach performance.

Own product marketing content strategy and production for a technical, B2B, sales-led AI platform. Create developer-focused product stories, technical articles, case studies, comparison pages, launch materials, and sales enablement content. Translate complex APIs, models, architecture, and customer outcomes into clear narratives. Partner with sales, product, engineering, and customers to support evaluations, improve messaging, identify market insights, and optimize content based on engagement and pipeline impact.

Provides onsite desktop and IT support by diagnosing hardware and software issues, supporting Windows and Mac endpoints, deploying and maintaining devices, managing software licensing and inventory, documenting solutions, resolving service tickets, coordinating with vendors, and assisting users remotely or in person. The role requires three years of desktop support experience, after-hours on-call participation, and strong knowledge of Active Directory, GPO, Office 365, SCCM, and desktop operating systems.

Provides high-level administrative, calendar, travel, meeting, board, event, and project support to executive leaders. Manages confidential information, coordinates leadership activities, prepares agendas and presentations, tracks action items, conducts research, supports office operations, and improves administrative workflows. The role requires strong judgment, discretion, communication, organization, and proficiency with business productivity tools. It is primarily onsite in Hollywood, California, with occasional evening and weekend work.

Design, implement, and maintain backend services and APIs for customer and account workflows. Support Schwab integration and migration efforts involving customer data, account lifecycle, identity, KYC, and legal entity systems. Collaborate across Product, Engineering, Security, and Operations; write tests and documentation; participate in code reviews and deployments; and help maintain reliable, highly available production systems.

Own tactical media planning and execution for a tourism account, including channel plans, budgets, flighting, MAFs, specifications, creative calendars, invoice reconciliation, and vendor contracts. Maintain accurate campaign documentation, track performance and scope changes, coordinate cross-functional handoffs, and ensure budgets and materials remain aligned. The role independently manages day-to-day planning while escalating strategic or scope issues appropriately.

Leads Data Engineering, Data Governance, and BI/Analytics teams while owning enterprise data platform architecture, pipelines, governance, warehouse or lakehouse design, BI strategy, and data quality. Serves as the technical bridge between data teams and business stakeholders, manages the platform roadmap, and oversees governed data integration for Glean AI search and agent tools. This hands-on director role combines architecture, engineering, people leadership, strategic planning, and stakeholder partnership.

Build and refine SaaS financial models, forecasts, dashboards, and reporting for metrics such as MRR, ARR, CAC, LTV, and churn. Cleanse and reconcile multi-source data, perform ad hoc and trend analysis, and provide actionable insights to leadership. Partner cross-functionally with Product, Sales, Marketing, and Customer Success while improving data processes, forecasting accuracy, and operational efficiency using advanced Excel, BI, and generative AI tools.

Lead data engineering initiatives supporting analytics, machine learning, and business intelligence teams. Design complex data warehouse and data lake models, manage large-scale SQL and Python ETL/ELT pipelines, maintain data quality and lifecycle standards, and translate strategic priorities into actionable projects. Provide technical leadership, mentorship, architectural guidance, project planning, and cross-functional collaboration with product, infrastructure, and architecture teams.