Top Tech Jobs & Startup Jobs in Los Angeles, CA

Manage North American deal desk and order processes, including complex deal structuring, approvals, tax and regional compliance, order accuracy, billing and provisioning coordination, legal workflows, RFPs and vendor risk assessments. Maintain CRM data integrity, resolve deal blockers, train sales teams, and improve quote-to-cash processes while partnering with Sales, Finance, Legal, and Product.

Own customer marketing across onboarding, adoption, retention, renewal, and expansion. Build lifecycle journeys, segmentation, trigger-based campaigns, customer education, re-engagement, upsell, and cross-sell programs. Partner with Sales, Customer Success, Product, Revenue Operations, and Marketing Operations to improve customer outcomes. Manage plans, budgets, dashboards, attribution, and performance optimization while connecting engagement to retention and expansion revenue.

Lead and scale the Precision Defense engineering organization, establishing technical strategy, operating models, leadership structures, and sequenced roadmaps. Oversee teams focused on deception, security-control validation, blue-team agents, defensive engineering, integrations, and AI-enabled workflows. Partner with Product and engineering leaders to prioritize investments, manage dependencies, translate ambiguous objectives into execution plans, and deliver secure customer outcomes. Build high-performing teams while providing architectural guidance and communicating risks, tradeoffs, and progress.

Drive cybersecurity sales growth by acquiring mid-enterprise accounts, exceeding quotas, managing the full sales cycle, and building channel partner relationships. Responsibilities include qualification, proof of value, product demonstrations, forecasting, negotiation, deal closure, post-sale ROI management, CRM and pipeline tracking, and customer relationship development. The role is remote, focused on the East Coast, and requires up to 20% travel.

Develop scalable Python-based reconnaissance and autonomous offensive-security workflows for external attack surfaces. Research and parse large volumes of unstructured data, model identity and attack-path relationships, automate multi-step attacks, and build production-safe tooling. Maintain test environments, contribute to attack-content roadmaps, mentor engineers, collaborate cross-functionally, and document technical research. The role requires deep offensive-security experience, production software engineering skills, and expertise in identity, cloud, SaaS, and external attack techniques.

Design, build, and operate backend services supporting external penetration testing, including Python APIs, workflow orchestration, ETL pipelines, AWS data lakes, GraphQL and graph APIs, Kubernetes infrastructure, and observability systems. Own service performance, scalability, uptime, deployment, and production operations while collaborating with product, design, and frontend teams. Contribute to architecture, technical documentation, platform stability, and user-facing launches.

Lead external attack capabilities for an autonomous penetration-testing platform. Design scalable Python reconnaissance workflows, parse high-volume unstructured data, model identity and attack-path relationships, and automate safe multi-step attack workflows. Research emerging offensive techniques, build production-grade attack content and test environments, establish coverage priorities, mentor engineers, and collaborate across engineering, product, and customer-facing teams.

Owns marketing performance measurement through attribution models, dashboards, funnel and pipeline analysis, ROI reporting, forecasting, and planning models. Partners with Marketing, Sales, RevOps, Finance, and SDR teams to improve data quality, evaluate campaigns, guide budget decisions, and present executive-ready insights. Mentors marketing operations analysts without direct reports.

Build and maintain product data models, ELT pipelines, semantic layers, and self-service analytics assets. Partner with Product Engineering and Data Governance to define canonical data, certify metrics, document taxonomies, monitor data quality, and support expansion and upsell analytics. Translate business requirements into governed data products, communicate insights to technical and non-technical stakeholders, and ensure data tooling complies with federal frameworks including FedRAMP and DoD IL4/5.

Design, build, and own business-critical data pipelines and infrastructure across warehouses, orchestration, BI, and multiple regions. Develop AWS Glue and Spark jobs, data models, event contracts, observability, and batch or streaming architectures. Collaborate across producer and consumer teams, support Federal workloads, and operate production data platforms in government cloud environments.