Top Big Data Jobs in Los Angeles, CA

Build production AI agents and agent-powered features from research and prototyping through deployment. Develop evaluation infrastructure with golden datasets, regression suites, and offline/online scoring. Own retrieval and context pipelines, production instrumentation, failure taxonomies, and cost and latency budgets. Partner with data science and product management on experiments and agent behavior, while establishing LLM engineering patterns, guardrails, and reusable tooling.

Owns RTB House’s performance media measurement strategy across products. Responsibilities include defining measurement taxonomies, evaluating attribution, incrementality, MMM, and MTA methodologies, managing third-party measurement partners, developing testing playbooks, piloting identity and measurement approaches, translating insights into market-facing messaging, and training commercial teams. The role requires hands-on performance media buying or oversight experience and strong ability to communicate measurement concepts, limitations, and results to technical, executive, and commercial audiences.

Sell supply chain and logistics SaaS solutions to Fortune 1000 customers, managing 15–25 strategic accounts. Responsibilities include exceeding quota, acquiring new business, expanding existing accounts, developing account strategies, mapping stakeholders, coordinating cross-functional go-to-market efforts, communicating value, managing pricing strategies, collaborating with customer success teams, and maintaining accurate Salesforce records.

Lead brand voice and messaging consistency across press, blog, and marketing materials. Ghostwrite for executives, edit internal/external content, develop thought leadership, optimize for SEO, manage editorial calendars, run content audits, use analytics to track performance, and produce white papers.

Own Arcadia’s revenue operating system, including Salesforce, forecasting, pricing, SKUs, quote-to-cash, KPI frameworks, sales compensation, and AI-powered reporting. Lead the evaluation and roadmap of the revenue technology stack while partnering with Sales, Marketing, Customer Success, Finance, Product, and Tech. Build scalable processes, improve forecast accuracy, analyze pipeline and sales efficiency, and drive predictable growth in a high-growth SaaS environment.

Lead global content strategy and manage the content calendar across blogs, case studies, whitepapers, email, social, and web. Create and optimize SEO-driven content, coordinate promotions, measure performance, and iterate. Collaborate with Product, Sales, Sales Enablement, and regional teams to align product positioning and thought leadership. Conduct market/competitor research and support client-facing materials and training.

Lead commercial growth for 3-5 Tier 1 retail accounts post-sale: own expansion, renewals, and ARR through account planning, upsell, negotiation, executive engagement, and cross-functional collaboration. Use data-driven strategies, Salesforce and Trumpet for pipeline and forecasting, and partner with Customer Success, Product, and Marketing to realize customer value and scale long-term enterprise relationships.

The Senior Full-Stack Engineer will manage client relationships, design integration solutions, and ensure seamless delivery and optimization of technical workflows, while leveraging AI for efficiency.

Sell Celonis enterprise SaaS into retail accounts by identifying new logos, managing full sales cycles, engaging C-level stakeholders, delivering tailored demos and value cases, collaborating with partners and internal teams, and spending most time in the field closing six-figure deals.

Lead product marketing for a multi-product consumer fintech platform: build competitive intelligence, define pricing/tiering, own positioning and GTM, drive adoption and retention using qualitative and quantitative insights, and partner cross-functionally with Product, Research, and leadership to influence strategy and launches.