Top Tech Jobs & Startup Jobs in Los Angeles, CA

Early-stage Sales Development Representative responsible for building outbound playbooks, generating and qualifying enterprise pipeline, co-owning territory strategy with AEs, representing the company at events, cultivating channel partnerships, and providing market feedback to shape messaging and GTM motion.

Design, build, and maintain scalable ETL/ELT data pipelines and analytical platforms on AWS and Databricks. Migrate legacy workflows to cloud-native services, implement data lake and catalog solutions, enable AI/RAG/vector search, ensure FedRAMP/NIST compliance, optimize performance, and mentor junior engineers while collaborating in Agile teams.

Design, build, and maintain scalable ETL/ELT pipelines and data models using Databricks, Spark, dbt, SQL, and AWS services. Optimize ingestion, transformation, orchestration, and monitoring across structured and semi-structured data. Collaborate in Agile teams, support analytics and reporting for large-scale federal environments, and evaluate new data tools and platform improvements.

Design, build, and maintain scalable AWS-native data platforms and ETL/ELT pipelines using Databricks, Spark, Python, dbt, and SQL. Implement ingestion, transformation, orchestration, and analytics solutions (Iceberg, Parquet, Redshift, Athena), support FedRAMP/NIST controls, migrate legacy systems to cloud-native services, and mentor junior engineers while collaborating in Agile teams.

Serve as the product owner representing client needs, define and prioritize backlog, write epics/features/user stories and acceptance criteria, collaborate with stakeholders and development teams, analyze market and user needs, make product decisions, and maintain product documentation within agile practices.

Manage onboarding, policy administration, and bordereaux workflows; ensure data integrity and SLA adherence; produce reports using Snowflake, Power BI, and Excel; collaborate cross-functionally to document SOPs and implement process improvements.

Lead enterprise adoption of Microsoft Copilot, Copilot Studio, and Power Platform by analyzing business processes, designing AI agents, building ROI-backed automation roadmaps, delivering training and prompt engineering best practices, and measuring utilization and productivity improvements across functions.

Perform manual and automated testing of web and mobile apps; design and run test plans, convert tests to TypeScript+Playwright automation, integrate tests into CI/CD, use AI-assisted tools to author and maintain tests, perform API and SQL backend testing, track defects in Jira/Zephyr, and collaborate with engineering teams to improve QA processes.

Build and own the internal AI agent and integration platform: design and deploy agentic workflows, MCP servers and connectors, OAuth/credential management, Databricks BI pipelines, usage tracking, and platform infrastructure. Partner with R&D, AI Enablement, and business teams to triage requests, define standards, and productionize autonomous workflows securely and cost-effectively.

Lead product strategy and long-term vision for a mature communications platform (SMS, messengers, Voice). Identify market opportunities, convert hypotheses into a roadmap, build and lead a product team, partner with engineering on technical solutions, and launch new product lines to scale the business.

Identify and qualify US market opportunities, build and maintain partner relationships, generate leads with publishers/distributors/advertisers, represent the company at events, create presentations and proposals, collaborate with internal teams, track partnership performance, support negotiations, and report pipeline and competitive analysis to leadership.

Own the Growth product vision, roadmap, and execution across signup, onboarding, activation, trial-to-paid conversion, and in-product expansion. Build high-tempo experimentation, growth models, metrics, playbooks, and frameworks. Partner with design, engineering, product, marketing, sales, and CS to drive discovery, adoption, pricing input, and scalable growth capability. Spend time with customers and data to turn insights into high-impact initiatives.