Top Tech Jobs & Startup Jobs in Los Angeles, CA

Lead Dave’s Lifecycle and CRM function across onboarding, engagement, retention, reactivation, and transactional communications. Own the multi-product lifecycle roadmap, member journeys, next-best-action framework, KPIs, experimentation, and Braze platform strategy. Partner with Product, Marketing, Data, Compliance, and Legal while managing budgets, forecasting, executive reporting, and a team of four lifecycle marketers. Drive compliant, data-informed engagement and retention across millions of members.

Lead the end-to-end activation experience for Vanta’s compliance platform, from strategy and customer discovery through shipped product. Define roadmaps, design AI-powered and agentic workflows, establish measurable outcomes, run experiments, and align cross-functional teams. The role also involves documenting strategy, leading multi-team initiatives, raising design quality, mentoring designers, and shaping reusable AI and growth patterns across Self-Serve.

Lead and scale UpCodes’ Customer Success function by managing and mentoring CSMs, building customer health scoring, setting retention and expansion KPIs, creating scalable playbooks and workflows, handling customer onboardings and escalations, and developing reporting dashboards and knowledge resources. The role combines hands-on customer leadership with team hiring, process development, cross-functional collaboration, and strategic planning.

Develop and execute integrated marketing strategies for North American enterprise accounts. Lead ABM, demand generation, digital, email, industry, and field campaigns; partner with enterprise sales on account prioritization and messaging; manage events and executive experiences; create content and enablement; coordinate cross-functional teams; and measure pipeline, revenue, and campaign performance.

Manage property and casualty claims recovery and subrogation portfolios from investigation through settlement and collection. Evaluate liability, damages, coverage, collectability, and recovery potential; prepare demand packages; negotiate settlements; track legal deadlines; coordinate arbitration, litigation, counsel, experts, and vendors; maintain accurate claims documentation, forecasts, payments, and reconciliations.

Own and architect core AI pharmacy products, including prior authorization pipelines, Epic integrations, patient communications, and production agentic systems. Build hands-on software using LLMs, RAG, function calling, and evaluation workflows in a regulated healthcare environment. Set engineering standards, make architectural decisions, manage delivery across product milestones, and collaborate across teams to ship reliable solutions that improve pharmacy operations.

Own the product roadmap for AI-enabled data products, lead customer discovery with CPG and foodservice stakeholders, translate insights into requirements and priorities, and guide cross-functional delivery from concept through launch. Develop go-to-market and adoption plans, monitor product performance, manage risks, and communicate business impact. The role requires practical AI and machine learning fluency, strong customer research, commercial product management experience, and 20–30% travel.

Administer and support Software AG ADABAS/Natural mainframe database environments, including upgrades, configuration, maintenance, monitoring, backups, restores, reorganizations, disaster recovery, performance tuning, and troubleshooting. The role manages database definitions, security, utilities, vendor relationships, documentation, client onboarding, and change control. It also provides scheduled 24x7 on-call support across large, multi-database customer environments.

Leads North American Product Success, defining its strategy, operating model, talent standards, customer onboarding, product health, usage analytics, and revenue motions. Owns retention, renewal, expansion, adoption, NPS, and forecasting outcomes while partnering with Sales, Customer Success, Product, and Product Marketing. Manages 5–7 leaders within an 80+ person organization and develops scalable, data-driven processes across a growing SaaS portfolio.

The Senior Data Scientist will conduct product analysis, build advanced models and analytics tools, evaluate A/B tests, develop automated dashboards, and generate recommendations for product strategy. The role partners with business stakeholders and Engineering to improve data infrastructure and governance, communicate statistical insights, and support data-driven decisions across Product, Marketing, and Finance.