Top Tech Jobs & Startup Jobs in Los Angeles, CA

Lead design and build of scalable backend systems and data platforms; own architecture and production deployments; improve reliability, performance, and observability; mentor engineers and collaborate with Product, Data Science, SRE, and Security.

The Principal Data Scientist will lead data analysis projects, collaborate with product management, assess business impacts, ensure data governance, and mentor junior analysts. Must leverage statistical techniques and machine learning to drive product strategy and business outcomes.

The Territory Manager will develop new business, manage renewals, collaborate with teams, and meet sales targets within the business automation segment.

Provide front-line support for Enverus software via phone, email, and screen share; diagnose and resolve user issues; document requests; educate customers; escalate product defects; collaborate with teams to ensure case flow and high customer satisfaction.

Answer owner relations calls about revenue, land, division orders, JIB, A/R, and A&P; log and follow up inquiries in a case system; build client relationships; provide accurate, timely, professional responses; manage difficult situations; cross-train to expand skills.

Lead architecture, design, and delivery of PET product features; write production full‑stack code; champion testing, observability, CI/CD and operational readiness; mentor engineers and collaborate with product to shape technical roadmap.

The Sales Development Representative is responsible for qualifying new revenue opportunities, engaging with potential clients, and meeting daily performance metrics while representing the company at trade shows.

The Segment Director or Advisor will lead go-to-market strategies and client relationship management in the power utilities and energy transition markets, driving performance tracking and stakeholder engagement.

Handle incoming owner relations inquiries about revenue, land, division orders, JIB, A/R, and A&P. Log and follow up cases in a tracking system, build trusting client relationships, manage difficult situations calmly, provide accurate timely responses, and participate in cross-training.

Design, build, and maintain high-throughput data ingestion and processing pipelines; integrate AI-powered infrastructure; implement and support complex computing algorithms and distributed services; own systems end-to-end including architecture, observability, reliability, and operational support; lead architectural initiatives and reduce system complexity while maintaining performance on large-scale real-time data.