Top Tech Jobs & Startup Jobs in Los Angeles, CA

The role involves managing Givebutter's commercial contracting function, negotiating agreements, advising product teams on legal matters, and building legal processes using AI tools.

Design, build, and own production AI agents and automations for marketing. Integrate and instrument the marketing stack (Salesforce, HubSpot, Qualified, Clay, ZoomInfo, data warehouse), implement predictive scoring and personalization, monitor systems for reliability, and collaborate with marketing, RevOps, and sales to translate problems into deployable software.

The Senior Production Scheduler will manage production schedules, collaborate with stakeholders, and implement improvement strategies to optimize logistics operations.

Manage and grow a portfolio of residential customers within a territory. Build relationships with owners, managers, and service providers, generate new business, lead customer meetings, use CRM and company tools to track activities and analyze trends, participate in trainings and trade shows, and apply consultative selling to meet sales goals and deliver excellent customer service.

Provide 1st-tier desktop support for employees and clients, troubleshoot Windows and macOS systems, manage account provisioning and file-sharing environments, collaborate with international teams and 3rd parties, and support AV/media solutions including Avid systems to maintain high availability and performance.

The Data Scientist will develop end-to-end models with automated data pipelines, evaluate business opportunities, implement A/B tests, and enhance data infrastructure.

The Enterprise Account Executive will focus on closing mid-market and enterprise customers, building a qualified sales pipeline, and maintaining customer readiness. Responsibilities include navigating complex sales conversations and contributing to company growth in a high-paced environment.

Partner with sales to design and present Garner's Employer and DataPro solutions to high-value prospects. Lead discovery, technical solution design, RFP responses, and project-manage engagements with support from Data and Product teams. Act as technical liaison, communicate value propositions, and stay current on industry trends to inform product improvements.

Own preparation, review, and filing of SEC reports (10-Q, 10-K, 8-K, S-1); drive quarterly and annual reporting calendar; lead earnings release process; manage disclosure checklist and XBRL review; improve and automate reporting processes; prepare/review journal entries, reconciliations, equity rollforwards, and EPS; ensure U.S. GAAP and SOX compliance; research technical accounting issues and implement new accounting pronouncements.

Own and execute multi-year strategic partnerships with a hyperscaler and an AI lab, aligning technical integrations, commercial motions, and joint go-to-market plans. Coordinate cross-functional teams, run operational cadences, track measurable outcomes (pipeline, ARR, integrations), and represent partnerships to executives while driving hands-on execution and follow-through.

Lead delivery of complex, multi-workstream professional services engagements for large strategic customers. Define program strategy and methodology, manage roadmaps, dependencies, budgets and risks, drive adoption and change management, and communicate outcomes to executive and technical stakeholders.

Lead analytics engineering for Revenue, Marketing, and Finance by building scalable data solutions, data models, and dashboards; provide training and consultation, support ad hoc data needs, and translate technical findings into executive-level insights to improve operational performance.

Lead architecture, build, and operate customer-facing analytics platform: design ELT and metric governance, implement low-latency serving (OLAP), ensure reliability/performance, mentor engineers, partner with product, and use AI coding tools to accelerate development.

Lead company-wide data governance and standards, enforce data contracts and schema/version control, manage PII/RBAC and master data, establish data-quality metrics and monitoring, grow and run the governance team, remain hands-on with data profiling and SQL, and use AI to accelerate governance work and modeling.