Top Tech Jobs & Startup Jobs in Los Angeles, CA

Own the complete B2B SaaS sales cycle, from outbound prospecting and inbound qualification through discovery, demos, negotiation, and closing. Sell construction management software directly to residential construction business owners, build pipeline independently, forecast revenue, and consistently achieve quota. Partner with the founder to shape go-to-market strategy, messaging, sales processes, and playbooks while providing market insights to improve the product and positioning.

Investigates insurance claims for staged losses and fraud by analyzing CCTV, dashcam footage, photographs, statements, engineering reports, and other evidence. Reconstructs incidents, evaluates authenticity and causation, identifies inconsistencies and fraud patterns, and produces objective written assessments for insurance and SIU professionals. Contributes investigative expertise to AI training and evaluation datasets while collaborating remotely with project stakeholders.

Creates organic short-form content ideas, hooks, and scripts for Reels, TikToks, and Shorts across multiple client brands. Writes ad scripts, VSLs, landing pages, emails, and SMS campaigns; develops variants for testing and adapts content based on performance data. Manages different brand voices, monitors social trends, uses AI tools effectively, and leads content direction with increasing independence.

Own and scale paid marketing across Meta and Google Ads, expanding into TikTok and LinkedIn. Responsibilities include ad copywriting, creative testing, UGC creator management, KPI optimization, attribution analysis, funnel optimization, and cross-functional collaboration to drive revenue growth. The role requires managing substantial advertising budgets and improving performance metrics such as CPA, ROAS, CTR, and CAC.

Leads the Southeast regional sales organization for K12 education technology solutions. Responsibilities include developing sales strategy, exceeding revenue targets, recruiting and coaching Account Executives and Sales Managers, managing customer and partner relationships, forecasting pipeline, monitoring market trends, coordinating go-to-market efforts, managing budgets, and representing the company at industry events. Requires extensive B2B software sales leadership experience, EdTech knowledge, CRM proficiency, and travel up to 50%.

Own strategy, execution, optimization, reporting, and growth for a portfolio of paid media clients across Google, Meta, LinkedIn, and TikTok. Lead client relationships, campaign testing, performance analysis, cross-functional collaboration, sales enablement, and account expansion. Mentor junior teammates, manage deliverable quality, contribute to media best practices and product development, and occasionally supervise paid media staff.

Own Chainguard’s account-based marketing program for strategic enterprise and regulated accounts. Design and execute 1:1, 1:few, and 1:many campaigns across paid media, web, email, gifting, and executive events. Build ABM playbooks, tooling, automation, AI agents, target-account programs, and measurement frameworks. Partner with Sales, BDRs, and partners to accelerate pipeline, improve account engagement, and report performance using marketing and business intelligence systems.

Leads application discovery, migration planning, dependency tracking, cutover execution, change management, and stakeholder coordination for enterprise cloud migration from on-premises data centers to Azure and AWS. Owns assigned applications from planning through acceptance, develops runbooks and readiness materials, manages risks and issues, and leads technical delivery teams during migration windows.

Provide high-volume technical support to pet care businesses by handling phone calls and tickets, troubleshooting product settings, building new customer accounts, collaborating with technical teams, and documenting customer interactions and resolutions. The role requires strong communication, technical aptitude, organization, self-motivation, and comfort working remotely in a fast-paced environment.

Build, train, evaluate, and deploy deep learning models for credit modeling and loss prediction. Conduct representation learning experiments, integrate models into ML pipelines, and own projects from hypothesis through measurable business outcomes. Collaborate with data scientists, engineers, and product partners, communicate findings, and develop agentic tools that accelerate data science workflows.