Top Tech Jobs & Startup Jobs in Los Angeles, CA

Full-cycle new business sales role focused on prospecting and acquiring net-new employer accounts for ZipRecruiter. Responsibilities include high-volume outreach (70+ calls/day), demoing the platform, managing free trials to paid conversions, developing proposals, and meeting monthly new-business quotas. Role includes intensive onboarding and sales training (Dev Bay).

Design and develop scalable user-facing web applications; improve engineering practices and collaborate with technical and non-technical stakeholders; engage with cross-functional teams.

Lead full lifecycle technical recruiting for engineering teams: source passive candidates, manage 10–15+ complex requisitions, improve recruiting processes with data and AI tools, build hiring playbooks and assessments, mentor TA peers, partner with engineering and compensation to close offers, and drive metrics like time-to-hire and offer acceptance.

Lead and coach a software engineering team owning mission, execution, code quality, and morale. Partner with product managers on roadmaps, remove roadblocks, improve processes, and drive innovation across high-traffic full-stack and data applications.

As a Decision Scientist II, you will analyze mobile app performance, define KPIs, design experiments, and provide insights to enhance user experience and product strategy.

The role involves building tools for business operations, managing NetSuite customizations, collaborating on technical solutions, and using AI tools for development.

Lead customer marketing programs to drive enterprise revenue growth, retention, expansion, and advocacy. Build advocacy, storytelling, executive engagement, events, and customer communities (including an advisory board and podcast). Partner cross-functionally with Sales, Customer Success, Product, and Brand to create scalable playbooks, measure business outcomes, and influence pipeline and executive relationships.

Lead design, development, and productionization of advanced ML models and data pipelines. Drive architecture, experimentation, validation, and best practices while mentoring ML engineers and delivering scalable, business-driving AI solutions.

The role involves building data processing pipelines, deploying cloud technologies, and writing code in a Kubernetes environment, focusing on big data technologies.

Drive new business and revenue growth for enterprise staffing accounts by prospecting, negotiating contracts, conducting demos, building executive relationships, managing and expanding existing accounts, meeting quotas, cold calling, and traveling up to 50%.