Top Tech Jobs & Startup Jobs in Los Angeles, CA

Advises General Counsel, CLOs, and legal operations leaders on contract transformation, legal innovation, compliance, risk management, and AI-driven contract intelligence. Leads executive workshops, supports enterprise sales opportunities, develops ROI cases, provides legal expertise for solution design and RFPs, influences product strategy, and represents Icertis at industry events. The role collaborates cross-functionally with Sales, Product, Engineering, Marketing, Services, and Customer Success, with travel up to 30%.

The Sales Enablement Manager will build onboarding, ramp, training, coaching, and sales-content programs for a B2B commercial team. Responsibilities include creating sales resources, supporting product and market messaging, identifying skill gaps, coordinating with Sales Operations, Marketing, and Product, organizing content, and measuring enablement effectiveness through ramp, adoption, confidence, and sales-performance metrics.

Own sales enablement strategy, onboarding, ramp programs, training, coaching, and sales content for a B2B commercial team. Create resources such as talk tracks, pitch decks, FAQs, case studies, and competitive guidance. Partner with Sales, Marketing, Product, and Sales Operations to improve messaging, process adoption, and readiness. Analyze seller feedback, customer conversations, content usage, ramp time, and sales performance to measure and improve enablement effectiveness.

Coordinate customer open source contribution engagements with account, product, and engineering teams. Run contributor recognition programs, develop communications and events, promote initiatives internally and externally, and improve workflows using existing tools and AI agents. This is a community and program coordination role rather than hands-on engineering.

Leads community relations and stakeholder outreach for a major bus rapid transit construction project. Responsibilities include business mitigation programs, public engagement, presentations, communications materials, issue resolution, marketing tactics, CRM tracking, construction impact updates, contract coordination, and community event participation. The role requires collaboration with Metro staff, contractors, elected officials, businesses, and diverse community groups, including occasional evening and weekend work.

Coordinates recruiting and People Operations activities, including interview scheduling, candidate communications, job postings, reference and background checks, onboarding, leave administration, HRIS and platform updates, inbox management, and responses to payroll, tax, unemployment, and agency requests. Maintains accurate confidential records, supports compliance processes, and assists with ad hoc HR projects.

Leads global procurement and strategic sourcing, including supplier selection, RFPs, contract negotiations, benchmarking, vendor management, cost reduction, and sourcing strategy. Oversees direct procurement for devices, apparel, accessories, formulations, and packaging, while supporting indirect spend. Builds supplier relationships, expands non-China sourcing, partners cross-functionally, and manages and develops a procurement team. The role is remote-first with some international travel.

Leads end-to-end customer contracting, including drafting, redlining, and negotiating MSAs, SOWs, order forms, amendments, and NDAs. Manages vendor onboarding, due diligence, security questionnaires, RFP/RFI responses, contract governance, approvals, and obligation tracking. Partners with Legal, Sales, Product, Engineering, and Delivery teams while advising on commercial operations tools and prioritizing contracting workstreams.

Leads national sales growth for wireless infrastructure assets by developing executive carrier relationships, originating leasing and collocation opportunities, negotiating portfolio-level agreements, managing pipeline forecasting, and collaborating across real estate, operations, legal, finance, and asset management teams.

Develop fraud-detection and identity-risk machine learning models from problem definition through deployment. Investigate fraud patterns, engineer predictive features, evaluate model performance, and monitor drift across batch and real-time decisioning environments. Collaborate with senior data scientists and engineers using Python and PySpark while supporting model documentation, explainability, privacy, validation, and governance.