Top Tech Jobs & Startup Jobs in Los Angeles, CA

Own go-to-market strategy for a product portfolio, including positioning, messaging, buyer personas, competitive programs, launches, pricing and packaging input, sales enablement, customer advocacy, and growth initiatives. Use market intelligence, customer insights, analytics, and ROI measurement to improve acquisition, expansion, retention, adoption, and competitive performance. Represent the company through customer engagements, conferences, webinars, media opportunities, and executive presentations.

Lead and own cross-organizational technical programs for ML and robotics platform development, define roadmaps and milestones, remove blockers, align diverse engineering teams, and drive adoption of platform best practices to deliver scalable autonomy and infrastructure outcomes.

Manage a portfolio of churches by providing ongoing virtual communication, support, training, and engagement guidance. Monitor participation, requests, response activity, and network health metrics to improve church involvement and retention. Resolve customer issues, coordinate technical support, maintain accurate CRM records, support onboarding transitions, and collaborate with internal teams to strengthen network outcomes and improve engagement processes.

Drive adoption of payment APIs by managing API specifications, creating technical documentation, tutorials, sample applications, and video content. Represent the company at conferences, meetups, and workshops; engage with developers; advocate for customer needs; and relay community feedback to product and engineering teams. The role also gathers technical requirements and collaborates across engineering, sales, marketing, and support to improve developer success, customer satisfaction, and revenue outcomes.

Define and execute the market strategy for UserTesting’s AI solutions. Own positioning, messaging, value propositions, go-to-market plans, sales enablement, customer and buyer research, competitive differentiation, thought leadership, and market feedback loops. Translate complex AI workflows and human-judgment applications into compelling solutions for technical enterprise buyers, while influencing product and company strategy through cross-functional leadership.

Develop and maintain scalable gameplay systems focused on enemy, boss, and ally behaviors for AAA games. Collaborate with content and engineering teams, architect flexible features, optimize performance, review code, mentor junior programmers, estimate work, and drive architecture development for enemy behavior systems.

Manage strategic enterprise accounts across a national territory, growing existing customers and acquiring new logos. Build consultative account strategies, serve as a trusted AI and customer-experience advisor, drive adoption, forecast accurately, achieve bookings targets, and coordinate cross-functional teams and channel partners. The role requires navigating complex enterprises, engaging executives and decision-makers, developing champions, and creating value-based solutions in emerging AI, ML, and NLP markets.

Join a research and advisory pipeline for an asset-management startup building an auditable reasoning engine. Advise on agentic AI, world models, interpretability, and systemic risk. Help shape research direction, identify failure modes and guardrails, and provide scholarly evidence (papers, GitHub, Google Scholar) and a short written response to demonstrate expertise.

Owns care delivery product capabilities including prescribing, prior authorizations, and virtual visit workflows. The role gathers clinical and business requirements, prioritizes roadmaps, translates needs into product specifications, partners with engineering and cross-functional teams, tracks product metrics, facilitates Agile ceremonies, and leads feature rollout and training. It also identifies responsible applications of AI and automation to reduce clinical and administrative burdens in a regulated healthcare environment.

Leads the data science roadmap and manages Data Scientists and Analysts while remaining hands-on. Designs data pipelines, ETL/ELT processes, analytical datasets, machine learning models, predictive analytics, optimization, and AI solutions. Partners with executives and cross-functional teams to translate business needs into scalable solutions, establish success metrics, improve data governance, and deliver measurable operational and financial value. Coaches team members, develops organizational capabilities, and communicates analytical outcomes to technical and non-technical stakeholders.