Top Tech Jobs & Startup Jobs in Los Angeles, CA

Build and manage patient lifecycle campaigns across email, SMS, push, and in-app channels. Own audience segmentation, campaign QA, experimentation, holdout measurement, and retention optimization. Partner with Product, Engineering, and Data Science to instrument events, develop notification infrastructure, and apply predictive personalization signals such as churn propensity and appointment readiness. The role requires hands-on campaign execution, strong lifecycle platform expertise, data fluency, and comfort operating in an ambiguous environment.

Own the complete enterprise sales and customer success cycle for large accounts. Build executive relationships across Security and Engineering, develop complex account plans, close major transactions, manage renewals and expansions, collaborate with internal and channel teams, and maintain accurate forecasting. The role requires at least five years of enterprise technical sales experience, cybersecurity or DevSecOps domain expertise, a history of exceeding quotas, and success closing million-dollar-plus ARR deals.

Own the full pre-sales technical sales cycle for enterprise State, Local, and Education customers, including discovery, demos, architecture, proof of concepts, and implementation guidance. Partner with Account Executives, Customer Success, Product, and Sales leadership to drive growth, support RFPs and RFIs, influence product direction, and build scalable technical assets. Represent the company at public-sector events and help establish enterprise sales engineering processes.

Own and prioritize the Workday/ERP product backlog, translate business needs into epics and user stories, partner with Finance and business leaders, support Agile delivery and releases, manage integrations and reporting, ensure compliance and security, and drive continuous improvement and adoption across Workday modules.

Manage financial analyses, evaluate deal structures, and provide insights for clients while supervising junior members and ensuring quality deliverables.

Provide controller-level advisory to skilled nursing clients: oversee financial reporting, budgeting, forecasting, KPI/benchmarking analysis, technical accounting support, operational improvement recommendations, and lead and coach client teams to improve financial stability and reporting quality.

Leads system monitoring, maintenance, incident response, troubleshooting, reliability improvements, patching, upgrades, and production support. Analyzes root causes, tracks availability and performance metrics, coordinates system changes, and supports application governance, continuity testing, audits, and regulatory inquiries. Coaches junior staff and ensures supported systems comply with technology standards and risk-management requirements.

Manage and mentor Product Managers while guiding product strategy, prioritization, roadmap execution, and lifecycle management for Rapid7’s cybersecurity platform. Partner with Product, Engineering, UX, executives, customers, and cloud ecosystem partners to define requirements, launch features, analyze usage and feedback, and drive market impact. The role also promotes AI-enabled product management practices, customer-centric decision-making, cross-functional alignment, and development of high-performing global teams.

Own the strategy, vision, roadmap, and execution of Rapid7’s Managed Detection and Response product portfolio. Lead and develop a global product management team, partner with SOC and engineering leaders, translate customer and market insights into product decisions, define platform capabilities, and drive product OKRs. Serve as a senior customer-facing representative while collaborating with sales, marketing, and customer success on positioning, launches, adoption, retention, and expansion.

Leads and develops a Solution Consulting team supporting the Applied Epic portfolio. Responsibilities include coaching consultants, partnering with Sales, overseeing product demonstrations, supporting strategic deals, coordinating executive client engagements, aligning with Product and Marketing, and ensuring implementation handoffs. The role requires insurance or SaaS expertise, pre-sales experience, people management, AI product knowledge, and up to 50% nationwide travel.

Generates new small-business accounts within an assigned territory through prospecting, cold calling, networking, and lead development. Identifies customer needs, recommends wireless solutions, negotiates and closes deals, manages the sales funnel, reports forecasts, and grows the customer base. The role requires field-based territory coverage, customer relationship management, strong communication, negotiation, and solution-based selling skills.

Serve as a technical and strategic advisor throughout the customer lifecycle. Lead discovery, value selling, complex SaaS deals, technical validation, POCs, solution architecture, integrations, demos, onboarding readiness, and expansion strategy. Design scalable solutions using APIs, CRMs, data pipelines, marketing automation, and Zapier. Partner cross-functionally with Sales, Customer Success, Product, and Engineering while mentoring peers and creating reusable enablement assets.

Lead technical discovery, solution design, demos, POCs, and value selling for complex enterprise SaaS deals. Partner with sales, customer success, product, marketing, and engineering teams to architect integrations using APIs, CRMs, automation tools, and data pipelines. Influence product strategy, facilitate post-sale handoffs, build scalable enablement resources, and mentor solution consulting peers as a player-coach.

The Senior Sales Engineer presents technical products, gathers customer requirements, leads product evaluations, configures solutions, and designs evaluation test plans. The role requires cybersecurity and networking expertise, including TCP/IP, DNS, routing, VPNs, and firewalls, along with experience applying AI tools to troubleshooting, solution design, automation, and customer problem-solving.

As a Security Architect, you will build secure agent runtimes and systems, ensuring robust security capabilities in agentic AI solutions while conducting security evaluations.