Top Tech Jobs & Startup Jobs in Los Angeles, CA

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.

Manage revenue recognition and compliance under ASC 606 and GAAP. Review contracts and RFPs, establish standalone selling price frameworks, reconcile Oracle revenue to the General Ledger, support financial close and audits, maintain internal controls, and prepare technical accounting policies. Lead revenue process improvements, acquisition integrations, UAT for new products, risk assessments, and automation initiatives while collaborating with cross-functional teams.

Deliver immersive learning simulations using digital avatars, portray diverse perspectives, facilitate learner debriefs, provide performance feedback and scoring, and host professional customer experiences. Requires professional acting and improv capability, native European French and English, strong communication and emotional intelligence, reliable overnight availability, and a private workspace with stable wired internet. This part-time role involves 20–30 hours weekly and a 65–85-hour paid training program.

Build and own lifecycle communication programs across onboarding, adoption, retention, and expansion. Define behavioral segments and triggers, write customer messaging, launch campaigns, measure outcomes in Mixpanel, and optimize through experimentation. Collaborate with Marketing, Product, Customer Success, and customer-facing teams. Help establish scaled digital customer success programs and pilot AI agents for personalized customer interactions.

Leads and develops the product management team while building scalable product operations. Translates product strategy into roadmaps, priorities, capacity decisions, and planning cadences. Establishes standards for specifications, QA, releases, outcome tracking, support, and escalations. Partners cross-functionally with engineering, design, go-to-market, customer success, and leadership to improve delivery predictability, communication, and team effectiveness.