Top Tech Jobs & Startup Jobs in Los Angeles, CA

An independent marketing contractor will build and manage digital campaigns, generate and qualify leads, optimize campaign performance, analyze data, improve conversion rates, and independently track results. The role is remote, commission-based, and suited to experienced marketers with at least two years of paid or organic campaign experience. Contractors receive onboarding, systems, training, ongoing support, and flexible work arrangements.

Lead the transition from founder-led sales to a scalable revenue function. Own outbound strategy, prospecting, pipeline development, and deal closing for healthtech and life sciences buyers. Sell both platform access and expert marketplace services, focus on cardio and brain health segments, identify new revenue opportunities, and establish repeatable sales processes while preparing for future team growth.

Design, develop, and evaluate large-scale multimodal foundation models for biological research. Build hybrid LLM and graph neural network architectures, relational foundation models, and distributed multi-GPU training systems. Apply deep learning theory to biological data, transition research prototypes into scalable production systems, publish peer-reviewed research, and mentor junior staff while collaborating across scientific and engineering teams.

Drives new member acquisition and revenue growth across the Western U.S. senior living market. Responsibilities include prospecting, territory planning, pipeline management, consultative selling, complex GPO deal negotiation, executive relationship development, and closing multi-year agreements. The role uses Salesforce, AI-powered sales tools, and automated workflows for lead prioritization, forecasting, outreach, and account research. It also requires cross-functional collaboration, market engagement, conference participation, and 50% regional travel.

Own the full-cycle enterprise B2B software sales process, from prospecting and discovery through demos, proposals, negotiations, and closing. Build and maintain a seven-figure pipeline, self-source approximately half of opportunities, manage forecasting in HubSpot, and sell to security, operations, and executive stakeholders. The role requires early-stage go-to-market experience, strong quota performance, AI fluency, and effective collaboration with product and customer success teams.

Own pipeline, forecasting, and closed revenue for Salesforce, data, and AI solutions sold to financial institutions. Manage the full sales cycle from prospecting through close, co-sell with Salesforce partners, and quarterback solution architects and engineers through scoping and proposals. Use AI tools in sales workflows, translate technical solutions into business outcomes, and maintain executive customer relationships. The role is fully remote with travel up to approximately 30%.

Owns and maintains organizing data systems, voter-contact tools, and organizational databases. Ensures data integrity through quality assurance, audits, standardized processes, documentation, and permission management. Supports organizers by troubleshooting tools, managing data requests, providing training, and improving workflows. Writes SQL queries in BigQuery, develops reports and visualizations, supports integrations, and collaborates with engineering and analytics teams on data models and priorities.

Own the technical sales cycle for Databricks consulting engagements, including discovery, architecture design, solution scoping, estimation, proposals, demos, proofs of concept, workshops, and statements of work. Design lakehouse, data engineering, analytics, governance, security, and AI architectures. Partner with sales, Databricks, alliance, and delivery teams while ensuring effective handoffs into implementation.

Lead research on recursive self-improvement for an autonomous ML research engine. Define the RSI roadmap, design agent strategies and compute allocation, learn from prior sessions, build evaluations, and compound knowledge across tasks. Conduct rigorous experiments, track frontier agentic LLM research, and ship validated improvements into production systems. The role requires hands-on Python engineering, applied ML research, production deployment experience, and technical leadership of a small research team.

Owns and optimizes the marketing technology ecosystem across multiple business indications. Leads platform implementations, integrations, testing, deployment, support, and enhancements while improving data flows, reliability, usability, and adoption. Translates commercial and business needs into technology priorities, requirements, standards, and execution plans. Partners with IT, commercial teams, analytics, vendors, and functional leaders to manage risks, simplify complex systems, and maximize the value of marketing technology investments.