Top Tech Jobs & Startup Jobs in Los Angeles, CA

Lead customer-facing implementations of the Open Data Platform, designing and delivering MVPs, reference architectures and demos. Work with customer engineering and internal teams to migrate, deploy, optimize performance, troubleshoot operational issues, and drive adoption of Acceldata Data Observability Cloud.

Develop and execute multi-channel customer acquisition strategies (SEO, SEM, email, social) to attract nonprofit clients. Analyze campaign and customer data to optimize ROI, identify decision-makers, generate leads, and coordinate hand-offs to client services and finance. Collaborate with partners, sales, and marketing to align acquisition efforts with firm goals.

Accelerates SERHANT.’s growth by recruiting and converting high-performing real estate agents and teams. Develops market-specific recruiting strategies, builds executive-level relationships, analyzes market intelligence, manages recruiting pipelines, and identifies expansion opportunities. Advises brokerage leadership, mentors recruiting team members, collaborates on campaigns and events, forecasts recruiting activity, and ensures compliance with licensing and company processes.

Lead Rumi's content and community: set editorial strategy and calendar, produce high-quality written and social content, repurpose and distribute product updates and educator stories, build lightweight distribution and engagement systems, track performance, and collaborate with sales and founders to support launches and campaigns.

Provides executive and operational support to the founders, managing calendars, inboxes, travel, leadership meetings, action items, hiring coordination, candidate pipelines, finance coordination, market research, marketing support, and ad-hoc projects. The role begins with administrative execution and expands into cross-functional project management, process design, and strategic initiative support. It requires high autonomy, discretion, sound judgment, strong communication, ownership, and the ability to organize a fast-paced startup environment.

Own the technical side of deal progression for airline deployments: qualify opportunities, run demos and POCs, author integration and deployment architectures (PSS, APIs, data feeds, DNS, identity, networking), respond to RFPs/security questionnaires, scope SOWs and NFRs, and build reusable demo/reference assets to drive adoption and expansion while liaising between sales, engineering, and customers.

Lead the design, development, deployment, and governance of advanced analytics, machine learning, and AI solutions using large healthcare datasets. Responsibilities include data preparation, statistical and predictive modeling, model monitoring, explainability, visualization, stakeholder communication, and translating findings into clinical and operational improvements. The role also mentors data professionals, advises leaders, manages initiative priorities and risks, and promotes responsible AI and Agile practices.

Lead and deliver Workday implementations with a focus on integrations. Design, build, test, and deploy Workday Studio integrations using Core Connectors, PECI, EIBs, and XSLT. Collaborate with business and technical stakeholders and own end-to-end integration lifecycle from requirements through production deployment.

Develops and deploys machine learning systems for high-stakes decisions in pricing, claims, underwriting, and predictive health. Responsibilities span problem framing, quantitative research, experimentation, causal inference, predictive modeling, multimodal and foundation model development, agent systems, production deployment, and ongoing iteration. The role requires strong mathematical and statistical foundations, Python fluency, and expertise in machine learning, statistics, econometrics, or causal inference.

Design and implement enterprise data and lakehouse architectures for client data, cloud, and AI transformation initiatives. The role requires hands-on expertise with Databricks, Azure, GCP, Spark/PySpark, SQL, Unity Catalog, governance, Terraform, and CI/CD. Responsibilities include client-facing solution architecture, clear communication, and delivery of scalable analytics solutions. Databricks Champion status is mandatory, while DPP experience is preferred. Immediate or 30-day-or-less availability is preferred.