Top Tech Jobs & Startup Jobs in Los Angeles, CA

Manages HRIS operations, implementations, upgrades, integrations, data integrity, security, reporting, and user access. Oversees testing, data conversions, technical issue resolution, payroll validation, and process automation. Provides advanced HR data analysis and serves as the liaison between HRIS and departments including payroll, benefits, recruiting, compensation, legal, and risk management. Leads departmental HRIS initiatives and supports system efficiency improvements.

Support 2–3 senior leaders through executive coordination, project management, client contracting and invoicing, business development research, calendar and travel management, expense reporting, meeting coordination, milestone tracking, and preparation of client-ready documents. The role requires proactive organization, strong client service, confidentiality, independent judgment, and proficiency with Microsoft Office, Teams, SharePoint, and Salesforce in a fully remote environment.

Leads Proofpoint’s global Collaboration Protection specialist sales organization, managing three Regional Directors and approximately 17 Sales Specialists. Owns go-to-market strategy, quota attainment, pipeline development, forecasting, partner strategy, major customer engagements, and cross-functional alignment with product, marketing, sales engineering, and core sales teams. The role also develops sales talent, drives MEDDICC-based sales discipline, expands strategic accounts, supports complex deals, and provides market insights to influence product strategy.

Lead Onfleet’s Product organization, including Product Management, Design, and User Research. Own product strategy, roadmaps, prioritization, planning, customer feedback, success metrics, cross-functional coordination, and product team development. Partner with Engineering and go-to-market leaders to deliver adopted products and support enterprise growth. Represent Product with executives, the board, customers, and advisors while building scalable team processes and operations.

Performs strategic and business analysis supporting sales, marketing, lifecycle, and product teams. Builds dashboards, recurring reports, business cases, scenario models, and presentation-ready insights. Maintains data quality, identifies performance issues, and supports leadership decision-making. Uses generative AI tools to automate reporting, accelerate analysis, and uncover growth opportunities.

Lead the product workstream in client AI engagements: assess product teams, design future-state PDLC, coach PMs on AI-native workflows, scope prototypes, write executable specs and Sprint Charters, design PM training, and feed field insights into agent tooling and methodology improvements.

Own full-cycle recruiting from sourcing through hire, partnering with hiring managers to define talent needs and strategies. Build proactive candidate pipelines, engage passive talent, assess search progress using recruiting data and market insights, and deliver a consistent candidate experience. Source talent through industry and partnership events, maintain accurate Greenhouse documentation, and improve recruiting processes, technology, interview practices, and diverse talent pipelines.

Designs and delivers customer-focused solutions for ExtraHop’s cybersecurity and network visibility platform. Responsibilities include developing GUI tools, scripts, APIs, data visualizations, and automated workflows; analyzing network topologies and application stacks; performing root cause analysis; profiling applications; creating technical collateral; and training customer personnel. The role requires strong networking, application architecture, scripting, communication, and customer engagement skills.

Owns technical vision, architecture, standards, and roadmaps for complex Azure Databricks and enterprise lakehouse engagements. Leads discovery workshops, designs secure and scalable data platforms, oversees delivery, supports technical pre-sales, develops reusable consulting assets, and mentors architects and engineers. The role connects platform decisions to customer outcomes, security, performance, reliability, adoption, and cost goals while engaging executives and multidisciplinary teams.

Design, build, and optimize scalable data pipelines, warehouses, lakes, and processing systems for analytics and business intelligence. Ensure data quality, security, reliability, and cost efficiency while collaborating with data scientists, analysts, and engineers. Maintain technical documentation, support Databricks solutions, and apply emerging data engineering technologies. The role requires strong programming, SQL, ETL, orchestration, data modeling, cloud, and big data expertise.