Top Social Impact Jobs in Los Angeles, CA

Analyze and optimize drug pricing using data-driven models, dashboards, reports, and strategic frameworks. Partner with Sales, Operations, Marketing, Finance, Product, pharmacy partners, and data teams to identify opportunities, define success metrics, improve reporting, and balance pharmacy economics with patient affordability. Serve as a trusted analytical advisor and support backend data development and query optimization.

Own People Operations programs including benefits, HRIS, payroll, multi-state compliance, policies, performance and merit cycles. Manage vendors, administer HR systems, improve and automate processes, and support employee experience. Provide analysis and recommendations for future PEO, HRIS, benefits, and policy decisions while handling sensitive employee matters with tact and clarity.

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.

The Founding Engineer will lead the development of Sailor Health's AI-powered platform, building systems for patient care and mentor the engineering team.

Lead client adoption, strategic consulting, and project management for Findhelp’s social service software. Conduct needs assessments, design tailored solutions, train stakeholders, manage complex projects, and build relationships with government, nonprofit, and healthcare leaders to achieve measurable outcomes.

Administers global sales commissions and incentive payments, maintaining compensation data across Xactly Incent, Salesforce Spiff, and Salesforce. Performs calculations, audits, reconciliations, and discrepancy investigations; supports employee lifecycle changes, payroll deadlines, quota administration, financial close, and compensation reporting. Partners with Revenue Operations, Finance, People Operations, Payroll, sales employees, and leaders while maintaining confidential records, audit trails, and process controls.

Lead financial decision-making for provider and patient growth engines. Own the revenue model, forecasting, capital allocation, unit economics, annual planning, monthly forecasting, and GTM headcount and capacity planning. Build and lead the GTM Finance function, including hiring, coaching, analytical infrastructure, dashboards, reporting, and AI-enabled workflows. Partner with business leaders to evaluate CAC, LTV, payback, channel performance, and growth investment decisions.

Leads and coaches a team of 6–7 recruiters supporting Provider Sales and Care Partnerships. Owns recruiting strategy, complex requisitions, sourcing, process design, pipeline health, offer closing, recruiting metrics, stakeholder partnerships, interviewer training, and process improvement. Serves as an executive-facing talent advisor while driving consistent, inclusive, data-informed hiring practices in a high-growth environment.

Leads and builds Donorbox’s product marketing function, owning positioning, messaging, product-led growth, launches, enablement, competitive intelligence, and performance measurement. Partners with Product, Sales, Customer Success, and Marketing to drive acquisition, conversion, retention, and expansion. Manages one direct report, establishes scalable processes and KPIs, influences roadmap priorities, and presents data-driven insights to executive leadership.

Owns donor engagement communications, cultivation and stewardship events, fundraising collateral, annual reports, and seasonal giving campaigns. Develops visual and narrative assets, manages event and campaign execution, maintains editorial and asset libraries, and builds AI-enabled workflows. Partners with fundraisers, marketing, executive leadership, designers, and external PR teams to strengthen donor engagement and fundraising outcomes. Uses campaign, event, and donor data to improve performance.

Lead the AI Quality engineering team while remaining hands-on building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and CI/CD pipelines for production AI agents. Run experiments across prompts, models, routing, caching, and agent harnesses to improve quality, latency, and cost. Partner with AI Core engineering and manage technical direction and team priorities.