Top Tech Jobs & Startup Jobs in Los Angeles, CA

Build and lead Adaption’s developer community across Discord, forums, social channels, and events. Develop community strategy, support technical users, gather feedback, organize meetups and hackathons, collaborate with developer groups and universities, highlight user projects, and create scalable community operations. Partner with technical and marketing teams to drive feedback loops and strengthen relationships with researchers, developers, and enterprises.

Founding Engineer responsible for building FilmoreAI’s production AI and data platform for construction equipment dealers. The role covers agent infrastructure, model routing, LLM extraction and reasoning, canonical data modeling, entity resolution, Python data pipelines, Azure cloud orchestration, evaluation, observability, and safe human-approved write-back. The engineer will work independently in an ambiguous startup environment and use agentic development tools to ship reliable systems with strong cost, latency, accuracy, and operational guardrails.

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%.

Provides second-level technical support for Aircall’s communications platform. Investigates escalated issues involving APIs, webhooks, CRM integrations, telephony, messaging, analytics, authentication, and AI features. Leads customer troubleshooting sessions, analyzes logs and payloads, collaborates with Product, Engineering, partners, and telecom providers, and documents recurring solutions. Also trains frontline support teams and improves troubleshooting processes and knowledge resources.

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.