Top Tech Jobs & Startup Jobs in Los Angeles, CA

Leads enterprise performance marketing, demand generation, digital strategy, brand positioning, patient and provider engagement, analytics, reporting, budgeting, and marketing operations. Develops multi-channel campaigns, manages marketing technology and vendors, builds analytical models and dashboards, and translates performance data into growth strategies. Oversees a marketing team and ensures admissions, cost-per-admission, financial, and operational targets are achieved in a behavioral healthcare environment.

Own paid media strategy, campaign setup, optimization, measurement, reporting, and budget pacing, beginning with Meta and expanding to other channels. Analyze performance to improve CAC, ROAS, lead quality, revenue, and profitability. Maintain tracking infrastructure, run structured tests across creative and funnels, and provide actionable reporting and channel-expansion recommendations. This remote, hands-on senior individual-contributor role requires collaboration with marketing and sales teams and no travel.

Own production reliability across Azure, colocation, and edge Kubernetes environments. Build observability, alerting, automated recovery, high-availability architectures, deployment automation, and cost optimization. Lead incident response, troubleshoot distributed systems, improve disaster recovery and operational maturity, support platform lifecycle management, and mentor engineers. Participate in separate weekday and weekend on-call rotations for customer-facing systems.

Owns IT infrastructure, endpoint management, identity and access, security, compliance, vendor relationships, and employee support across corporate and clinical teams. The role designs scalable systems, resolves hardware and software issues, manages provisioning and deprovisioning, develops IT policies and documentation, supports HIPAA and SOC 2 compliance, and maintains disaster recovery and cybersecurity response practices. Periodic travel to regional offices is required.

Manages sales, business development, forecasting, and field support across a Canadian territory. Grows dealer accounts, acquires new business, develops sales pipelines, supports retail partners with marketing and merchandising programs, maintains Salesforce data, manages customer care and leads, contributes to forecasts, and attends industry events. Requires B2B outside sales experience, financial acumen, technology proficiency, a valid driver’s license, and travel exceeding 70%.

Provide first-line customer and technical support for MDCalc products. Manage support tickets from intake through resolution, troubleshoot light technical issues, escalate complex problems to engineering, and follow up with users. Identify recurring issues, maintain documentation and knowledge-base content, improve support processes, monitor support metrics, and communicate product risks and updates to internal teams.

Owns revenue, profitability, and growth across wholesale retail, Amazon, DTC e-commerce, international accounts, and media channels. Responsibilities include managing major retail relationships, negotiating pricing and promotions, overseeing Amazon operations and advertising, setting channel architecture, forecasting, budgeting, and leading channel P&L reporting. The role also manages brokers and agencies, coordinates with Operations and Supply Chain, expands distribution, and protects brand positioning across markets.

Own university data integrations from source discovery through validated, signed-off feeds. Build SQL queries and scheduled extracts, model data, support partner upgrades and migrations, translate institutional policies into accurate data feeds, and improve monitoring, documentation, and reusable integration patterns. Collaborate with registrars and database administrators while supporting a named set of university partners. The role requires deep experience with student information systems, including PeopleSoft, and occasional travel for partner onsite engagements.

Own and scale Bitsight’s SaaS cloud infrastructure, focusing on reliability, security, automation, and cost efficiency. Design complex systems, troubleshoot production issues, validate AI-assisted infrastructure automation, and improve delivery processes. Lead technical discussions, establish infrastructure best practices, mentor engineers, and collaborate across teams. The role requires strong Linux, scripting, containerization, cloud, infrastructure-as-code, networking, and observability expertise, with occasional off-shift production support.

Designs and maintains scalable data pipelines, warehouse models, and analytics solutions. Builds natural-language data interfaces using GenAI and LLM techniques, optimizes SQL, improves data quality and observability, and supports distributed data platforms on AWS or GCP. Partners with engineering, analytics, business, and product teams, contributes to shared codebases, establishes development standards, and participates in production on-call and incident response.