Top Tech Jobs & Startup Jobs in Los Angeles, CA

Design, implement, and maintain backend services and core APIs (primarily Scala). Collaborate on architecture, improve system reliability, and deliver production software for legal AI products.

Lead and support process and quality improvement projects at the UROC depot, including data collection and analysis, repair cost reduction, process development, test method analysis, software/tool support, FMEA and CAPA activities, and cross-functional project execution to improve yield, cycle time, and quality.

Lead an AI-native product end-to-end for SMB customers: discover problems, run hypothesis-driven experiments, prototype rapidly with AI tools, own funnel metrics (activation, conversion, retention, monetization), and ship fast alongside engineers.

Lead and transform FP&A for a multi-product SaaS business: build a scalable data-warehouse-first planning architecture, embed AI/LLM tooling, own revenue and product-level P&Ls, manage and grow a small FP&A team, and partner with GMs and the CFO on budgeting, forecasting, and strategic analysis.

Lead as a technical operator between product, engineering, design, and leadership to remove blockers, accelerate delivery, and compress feedback loops. Drive rapid prototyping-to-production cycles, introduce AI tooling and lightweight processes, directly contribute to delivery, surface risks and dependencies, and scale team workflows so the product organization ships higher-quality features faster.

Provide technical pre-sales support for enterprise storage and cloud solutions: qualify opportunities, design and size solutions, run POCs, deliver demos and trainings, respond to RFIs/RFPs, document configurations, and collect product feedback to inform product management.

Own and optimize sales tech stack and CRM, manage pricing sheets and deal pricing accuracy, ensure correct billing handoffs, maintain data hygiene, build operational reporting and dashboards, monitor pipeline health, and improve sales processes in partnership with Sales, Finance, and Customer Success.

Lead and develop small backend and platform engineering teams building reliable, scalable fintech systems. Turn ambiguous problems into clear plans, partner on architecture and tradeoffs, contribute technically when needed, improve execution quality, and work cross-functionally with product and compliance to surface risks and balance roadmap with operational responsibilities.

The Senior AI Engineer at RegScale designs and operates AI systems, ensuring reliability and performance while overseeing the data pipeline and compliance integration, alongside improving AI capabilities across the engineering organization.

Lead and scale demand generation for a B2B SaaS platform: own paid media, lifecycle and digital campaigns, manage a ~$1.5M media budget, implement experimentation and AI-driven workflows, align marketing with sales, and improve reporting, attribution, and pipeline performance.

Design, build, and own AWS infrastructure and automation for a 24/7 SaaS platform. Implement scalable, secure, highly available systems, partner with developers to improve reliability and performance, maintain critical infrastructure, build tooling and processes to reduce toil, participate in weekly on-call rotation and lead RCA and durable fixes.

Acquire and expand regional hotel brands and ownership groups across North America by building executive relationships, leading complex multi-stakeholder sales cycles, creating predictable pipeline through outbound prospecting and events, and collaborating with Marketing, Product, Customer Success, and Enterprise teams to drive new logo ARR and account expansion.

Serve as the compliance SME for HSA, FSA, and HRA products: review marketing and customer content, lead compliance risk assessments (including AI tools), advise product and ops teams on transaction and regulatory issues, monitor regulatory changes, support escalations and audits, and recommend controls and remediation for identified risks.