Top Tech Jobs & Startup Jobs in Los Angeles, CA

Own Blitzed’s social media and Discord community across strategy, content planning, publishing, moderation, engagement, events, and player relationships. Create reactive posts, memes, and short-form content while maintaining a consistent brand voice. Collaborate with content, creator, product, and operations teams, track performance and engagement, and develop repeatable growth processes. The role requires strong knowledge of crypto, casino, streaming, gaming, and internet culture.

Lead Nava’s employee-facing healthcare technology product area. Responsibilities include shaping the roadmap, setting measurable product goals, conducting customer research, improving usability and satisfaction, partnering with support, marketing, engineering, and design, and driving product adoption and engagement. The role requires guiding products from discovery through delivery, achieving product-market fit, and aligning stakeholders around priorities and outcomes.

Designs, builds, and scales automation for secure hybrid infrastructure. Responsibilities include CI/CD, infrastructure as code, cloud architecture, configuration management, monitoring, logging, security, network operations, containerization, and self-healing systems. The role maintains mission-critical production environments, develops performance metrics, resolves root causes, and collaborates cross-functionally to improve reliability and operational efficiency.

Manages a portfolio of Dunkin’ franchisees by setting performance goals, analyzing business data, coaching operators, and driving sales, profitability, growth, and brand consistency. Facilitates business reviews and planning, supports remodels and new store openings, coordinates training and marketing initiatives, evaluates restaurants, and ensures administrative and expense-management requirements are met. Requires restaurant operations expertise, strong relationship-building, strategic coaching, financial acumen, and travel based on portfolio needs.

Develop and deploy machine learning models for manufacturing use cases including predictive quality, machine failure prediction, and time-series pattern discovery. Work directly with customers to scope problems, validate solutions in live deployments, and translate successful analyses into product features. Collaborate with engineering, product, and customer success teams while applying statistics, optimization, generative AI, and agentic AI to deliver end-to-end solutions.

Own significant product areas from customer problem discovery through solution definition, prototyping, shipping, measurement, and iteration. Build AI-powered prototypes and production products using tools such as Claude and Cursor, engage directly with customers and commercial stakeholders, lead small squads, influence product direction, and contribute to an AI-native product engineering culture.

Lead a development team while remaining hands-on in full-stack engineering. Design, build, test, deploy, and support secure web applications using C#/.NET, Angular, databases, and AWS. Drive cloud migrations, architecture, CI/CD automation, application security, troubleshooting, performance and cost optimization. Mentor developers, establish engineering standards, lead technical delivery, and collaborate with product, data, DevOps, and architecture teams.

Owns co-marketing and joint go-to-market campaigns for Monad ecosystem integrations and deployments. Responsibilities include identifying high-impact opportunities, developing narratives, creating social activations, writing case studies and blogs, coordinating creative, legal, compliance, and launch workflows, and measuring campaign performance. The role requires managing complex external workstreams and collaborating with crypto-native and traditional business partners.

Leads end-to-end customer engagements integrating software with government data systems. Designs and builds custom workflows, translates ambiguous requirements into technical plans, debugs production issues in constrained environments, documents decisions, reviews code, mentors engineers, and makes delivery trade-offs. Requires customer-facing software engineering experience, data integration expertise, and willingness to travel to U.S. military installations.

Define clinical reasoning, safety boundaries, evaluation scenarios, datasets, rubrics, and acceptance thresholds for AI-enabled chronic disease products. Analyze failures and edge cases, support clinical validation and outcomes research, interpret clinical and EHR data, and collaborate with Product, Engineering, AI/ML, Data, informatics teams, and clinical stakeholders on integrations and workflows.