Top Social Impact Jobs in Los Angeles, CA

Lead a 10+ person marketing science team to centralize customer segmentation, programmatic media and audience strategy, marketing analytics and BI, attribution (lift and econometrics), ad operations, privacy/compliance, and martech. Build data products and automation for scalable media activation, provide reporting and insights for stakeholders and ELT, and collaborate cross-functionally to align measurement and marketing strategy.

Lead the launch and operation of Atticus’s personal injury practice in California. Represent severely injured clients through intake, negotiation, mediation, and trial; determine case selection and strategy; and oversee legal operations. Manage attorney and non-attorney staff across intake, case management, and support. Collaborate with marketing, product, engineering, and company leadership to develop scalable processes, client support protocols, branding, and practice operations.

Sell Benchling's AI-enabled biotech R&D platform into 1-3 top global accounts. Generate 80% of pipeline, manage complex 7+ figure sales cycles, forecast accurately, negotiate and close deals, align multi-persona stakeholders, and coordinate internal and external partners to drive adoption and revenue.

Recruit clinicians by reviewing applications, conducting interviews, assessing clinical and operational fit, maintaining accurate applicant-tracking records, and coordinating candidate handoffs through offer and onboarding stages. The role focuses on delivering an excellent candidate experience while identifying therapists and psychologists passionate about serving older adults. This is a remote, part-time position requiring strong interpersonal judgment, organization, flexibility, and the ability to manage frequent interviews in a fast-paced environment.

Lead product strategy and execution for a shared digital platform addressing homelessness. Work with CEO, CTO, engineering, and frontline users to design, build, implement, and scale outreach and shelter software, drive discovery, partner on adoption and training, and measure community-level impact.

Senior executive responsible for statewide strategy, government relations, and large-scale multi-agency SaaS implementations. Cultivates executive-level relationships, influences policy and funding, leads cross-functional delivery of transformative social care projects, manages risk and revenue targets, mentors senior staff, and represents the organization at public forums.

Own and grow a portfolio of enterprise customers by identifying expansion opportunities, selling new modules and users, coordinating cross-functional teams, maintaining account plans and forecasts, engaging executives, and closing multi-stakeholder deals with 10-20% travel.

Chief of Staff to the Enterprise GM, responsible for developing multi-year strategies, aligning executives and functions, improving operating models and governance, and leading complex organizational transformation. The role provides executive counsel, synthesizes cross-functional insights, guides resource allocation, strengthens collaboration, and addresses systemic organizational challenges. Success requires strategic thinking, operational excellence, organizational design expertise, executive presence, and experience driving results in B2B, preferably SaaS, revenue organizations.

Develop and execute proactive community engagement strategies across organic social channels. Manage the brand voice, respond to priority interactions, monitor sentiment and trends, identify learner stories, coordinate outreach, escalate sensitive issues, and translate community insights into social content, campaigns, testimonials, and broader marketing recommendations.

Leads high-impact business operations initiatives, builds scalable processes and systems, analyzes complex data, partners with Product, Data, and Operations leaders, manages cross-functional execution, mentors team members, and builds a growing operations team to deliver measurable business results.

Develop and operate production ML and AI systems powering patient experiences such as matching, ranking, recommendations, onboarding, and personalization. Build reusable ML infrastructure, pipelines, evaluation, observability, and model-serving capabilities. Provide technical leadership across the ML lifecycle, guide architecture, evaluate custom versus foundation-model approaches, and partner with ML and Patient Engineering teams to deliver reliable, scalable AI products.