Top Tech Jobs & Startup Jobs in Los Angeles, CA

Own growth for OnePay’s Pay Later product by expanding customer discovery and loan-start opportunities beyond checkout. Lead in-store and wallet provisioning, set demand and conversion targets, run continuous experiments, and optimize personalized offers. Partner with Engineering, Design, Risk, Analytics, Walmart teams, and platform groups to ship and scale growth initiatives. The role requires strong product ownership, startup experience, cross-functional execution, and familiarity with payments, lending, or consumer banking.

Leads Yahoo Finance’s Brand Strategy team, developing client-focused advertising solutions, content-led programs, and revenue strategies. Responsibilities include team leadership, cross-functional collaboration with Sales, Editorial, Product, Finance, and Operations, AI adoption, brand storytelling, campaign optimization, market analysis, and executive-level client presentations. The role requires deep digital advertising and financial services expertise, strategic vision, and a record of achieving revenue growth and building strategic client relationships.

Leads enterprise-wide business development and strategic technology partnerships across Yahoo’s portfolio. Responsibilities include sourcing and negotiating AI, cloud, infrastructure, and enterprise service agreements; managing renewals and expansions; modeling aggregated deal value; aligning Finance, Legal, Procurement, Security, Privacy, and Engineering; overseeing executive partner relationships; and building AI-assisted pipeline tracking, governance, and scalable commercial processes.

Creates and manages purchase orders, sources materials and labor, negotiates vendor pricing and lead times, tracks deliveries and fulfillment, coordinates procurement with project managers, and manages vendor returns, RMAs, credits, and part exchanges. The role also supports equipment rentals, subcontractors, permits, licenses, and purchasing decisions for sales orders.

Own product marketing for Datacor’s ERP platform and integrated MES, WMS, and CRM solutions. Develop positioning, messaging, launch plans, campaign content, sales enablement materials, competitive intelligence, webinars, and customer expansion campaigns. Partner with Product Management, Sales, Demand Generation, and Marketing leadership to translate complex product capabilities into differentiated narratives for process manufacturing audiences. Contribute to AI product launches and conduct market research, win/loss interviews, and customer segmentation initiatives.

The Strategic Finance Manager will lead financial planning, budgeting, renewal forecasting, and customer retention analysis. They will translate customer and financial data into executive insights, identify risks and opportunities, develop renewal metric governance, and support resource allocation. The role partners with Finance, Renewal Management, Customer Success, Data Science, Operations, and go-to-market teams while applying AI and automation to improve forecasting, reporting, and analytical efficiency.

Source, screen, and recruit licensed mental health professionals. Coordinate interviews, verify clinical licensure, manage candidate communications, maintain talent pipelines, track recruiting metrics, and support outreach campaigns and process improvements. The role partners with clinical hiring teams and represents Talkspace throughout the candidate experience, from initial outreach through onboarding.

Supports Customer Success Managers by resolving support tickets, coordinating onboarding and end-user training, executing adoption and go-live plays, monitoring account health, routing qualified leads, and maintaining continuity for assigned accounts. The role investigates escalated issues, coordinates with internal teams and healthcare providers, tracks customer success metrics, and identifies utilization risks. Candidates need healthcare or healthcare technology experience, strong communication, organization, CRM and data skills, and the ability to manage high-volume customer requests.

Manage a portfolio of WellHive customer accounts, driving platform adoption, customer health, and measurable outcomes. Build relationships with site leadership, program leads, and end users; identify risks; lead interventions; coordinate internal support; report account progress; and serve as a platform expert. The role requires 3–5 years of customer success, account management, or comparable software-company experience.

Owns strategic enterprise accounts, driving retention, renewals, expansion, cross-sell, upsell, and profitable revenue growth. Leads consultative sales engagements, executive relationships, business reviews, proposals, negotiations, forecasting, and account planning. Requires independent management of complex B2B sales cycles within the managed service provider industry, collaboration with solutions and service teams, and travel to customer sites and industry events.

Drives retention, expansion, renewals, and long-term growth across mid-market B2B accounts. Develops account strategies, identifies cross-sell and upsell opportunities, conducts customer meetings and executive briefings, negotiates commercial terms, presents proposals, and secures commitments. Partners with solution architects and service managers to develop solutions, assess adoption and risk, and support customer growth. Requires MSP industry experience and willingness to travel up to 50%.

Leads engineering strategy, architecture, delivery, and organizational development for Agiloft’s Contract Intelligence portfolio. Oversees Astra Agents, Contract Intelligence Graph, shared cloud-native platforms, APIs, IAM, AI assistants, and integrations. Partners with Product, Design, Applied AI, and Operations to deliver secure, scalable, reliable customer-facing systems. Manages distributed engineering teams, develops leaders, establishes operational metrics, guides responsible AI practices, and remains hands-on in architecture, code reviews, and technical decisions.

Owns end-to-end features and services across Rails, Python machine-learning services, agent infrastructure, and data platforms. Improves the scalability, reliability, and cost efficiency of computer vision and LLM inference pipelines; builds model infrastructure, orchestration, and evaluation systems; contributes to architecture and code reviews; mentors teammates; ships production code; and participates in troubleshooting and incident response.