Top Tech Jobs & Startup Jobs in Los Angeles, CA

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%.

Support recruiting for global Sales, Marketing, and Customer Success teams. Responsibilities include sourcing, outreach, candidate screening, interview scheduling, pipeline management in Ashby, candidate communication, offer closing, and improving hiring processes. The role uses LinkedIn Recruiter, Claude, Juicebox, and hiring data to increase recruiting efficiency. It is designed for someone with 0–2 years of recruiting, sales, or other candidate- or client-facing experience who wants to grow into full-cycle recruiting.

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.

Leads Lantern’s consultant relations function through named ownership of major consulting and brokerage relationships. Builds durable national and local partnerships, embeds the team in active sales opportunities, improves deal outcomes, develops consultant-focused content, closes coverage gaps, and establishes outcome-based metrics. Partners cross-functionally with Sales, Client Success, Marketing, Analytics, Clinical, and other teams while building, mentoring, and managing a high-performing consultant relations organization.

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.

Own complex post-sale technical relationships from onboarding through adoption and renewal. Lead implementations, integrations, configurations, and security reviews; advise strategic customers on identity, access, device trust, and SaaS security. Partner with Customer Success and cross-functional teams to drive customer value, manage risks, support expansion, create scalable resources, and mentor team members while serving as an escalation point.

Designs enterprise and healthcare technology architectures for federal pursuits, primarily supporting the Department of Veterans Affairs. Develops proposal narratives, solution concepts, architecture diagrams, modernization roadmaps, implementation strategies, staffing estimates, and technical differentiators. Collaborates with capture, engineering, delivery, pricing, and executive teams on proposals and presentations. Applies expertise in cloud, data, APIs, interoperability, DevSecOps, cybersecurity, AI, and Generative AI while supporting responsible AI practices and federal healthcare requirements.

Design and deploy production-ready LLM pipelines and agentic workflows, automate large-scale multimodal dataset pipelines, monitor and improve agent performance, and integrate AI agents with 3D scene composition. The role also involves process documentation, incident response, and continuous improvement, with collaboration across the engine team and company founders.

Manage strategic customer relationships from onboarding through renewal, driving product adoption, retention, and measurable business outcomes. Responsibilities include platform walkthroughs, account performance monitoring, deployment and adoption strategies, risk and opportunity forecasting, renewal support, issue coordination, process documentation, and communicating customer feedback internally. The role requires data analysis, product expertise, cross-functional collaboration, and continuous improvement of customer success processes.