Top Tech Jobs & Startup Jobs in Los Angeles, CA

Own product management for educator-focused SaaS products, identifying customer needs and translating them into roadmap priorities, business requirements, and product features. Collaborate with technical product management, UX/UI, curriculum, sales, marketing, customer success, and other stakeholders throughout feature design, development, release, and delivery. Analyze market trends, customer feedback, and product data; communicate product value and release messaging; and balance customer needs with strategic and financial business objectives.

Leads enterprise-scale Agile delivery as a Release Train Engineer, facilitating PI planning, coordinating dependencies across Agile Release Trains, managing risks and governance, and tracking delivery metrics. Coaches Scrum Masters, Agile Managers, leadership, and cross-functional teams on SAFe, Lean-Agile, and continuous improvement. Partners with stakeholders, vendors, and technical teams to support strategic technology initiatives, improve delivery processes, and maintain transparency through dashboards, reports, and knowledge bases.

Build and maintain revenue workflows, integrations, and AI agents connecting Salesforce with sales and marketing systems. Own inbound lead routing, automated sales and marketing plays, CRM hygiene, data enrichment, and AI-assisted workflows. Use APIs, webhooks, automation platforms, Python or JavaScript, and SQL to eliminate manual work and improve pipeline speed. Document workflows, enforce governance, and measure time savings and conversion improvements across Revenue Operations.

The Revenue Operations Manager drives forecasting, pipeline visibility, data quality, reporting, quota allocation, capacity modeling, and GTM planning. They build dashboards and executive insights, manage operating cadences, improve CRM processes, and support sales technology selection and optimization. The role partners with Sales, Marketing, Customer Success, Finance, and Analytics to improve revenue predictability, efficiency, and execution.

Own the strategy, roadmap, architecture, performance, and business outcomes of Versapay’s global payment gateway. Lead processor and acquirer integrations, transaction lifecycle capabilities, compliance, reliability, and payment optimization. Partner with engineering, finance, risk, compliance, operations, and go-to-market teams while guiding execution across engineering pods. Apply AI and machine learning to retry optimization, decline analysis, anomaly detection, incident response, and partner integrations.

Conduct keyword research, on-page optimization, technical SEO checks, link-building support, competitor analysis, and content briefing. Track rankings, traffic, and conversions while preparing performance reports and monitoring search engine updates. The intern will receive mentoring and gain practical experience with SEO and analytics tools.

Develop ABAP solutions for a SAP S/4HANA Greenfield implementation, translating requirements into technical designs and supporting the full application lifecycle. Responsibilities include backend integrations, SAP Fiori and BTP development, HANA CDS Views, debugging, performance tuning, code reviews, and potentially mentoring developers. The role requires U.S. citizenship, a background check, and the ability to obtain and maintain DHS EOD/Public Trust clearance. This is a remote position supporting a Washington, DC customer.

Designs, builds, and optimizes scalable data collection, storage, access, and analytics systems. Creates and automates reliable data pipelines, supports data quality and governance, ensures SLA and performance compliance, and monitors pipeline operations. The role requires collaboration with analytics, business, and customer teams, with potential work involving AI/ML pipelines, Databricks, DevOps practices, streaming data, and event-driven architectures.

Develop AI agents, chatbots, and machine learning models for a modernized federal data science platform. Research and standardize AI capabilities in Databricks and Palantir, prompt-engineer LLMs, integrate AI into DevOps pipelines, and train models on production datasets for prediction and anomaly detection. The role requires collaboration with developers and customers, database familiarity, Agile experience, documentation, and an active or obtainable DoD Secret clearance.

Own the strategy and outcomes for Mural’s AI Workflows products from concept through launch. Build prototypes, identify valuable collaboration workflows, define product-quality evaluations, guide model and routing decisions, and determine whether to iterate, scale, or stop based on user evidence. Partner with engineering, ML, design, finance, growth, and other teams on reliability, unit economics, data loops, and agentic multiplayer experiences.

Provides Tier 2 technical support by troubleshooting escalated application incidents involving logs, APIs, databases, authentication, integrations, and release changes. Reproduces issues, identifies root causes, communicates clearly with technical and non-technical audiences, coordinates with Engineering and Product, documents resolutions, improves support processes, develops technical content, and supports Tier 1 teams. The role includes ownership of customer escalations, multi-product proficiency, and scheduled after-hours support rotations.

Leads Product Operations and builds the operating system for product planning, prioritization, development, measurement, portfolio governance, tooling, and AI enablement. Connects Product, Engineering, Design, Finance, Sales, and Customer Success to improve decision-making, delivery predictability, customer outcomes, and organizational learning. Establishes product management standards, metrics, operating rhythms, career frameworks, and scalable processes while leading and developing the Product Operations team.

Partners with Sales to lead technical customer engagements, deliver product demonstrations and presentations, support technical evaluations, articulate Grafana’s value, and help close opportunities. The role gathers customer and competitive feedback for Product and Engineering teams while creating documentation, blog posts, videos, and enablement materials. Success requires strong technical pre-sales experience, communication skills, customer problem-solving ability, judgment, collaboration, and self-direction in a remote international environment.

Leads and coaches an SDR team responsible for inbound and outbound pipeline creation, qualification, meeting conversion, and sales handoffs. Owns coverage models, CRM discipline, reporting, dashboards, performance reviews, onboarding, enablement, and scalable prospecting playbooks. Partners with Marketing, Sales, Growth, and Revenue Operations to improve lead quality, speed-to-lead, opportunity acceptance, and pipeline performance.

Build and maintain full-stack applications, backend services, automations, data workflows, and internal tools. Partner with stakeholders to identify business problems, design and validate solutions, deploy production systems, measure outcomes, and iterate. Use AI-assisted development, AWS, Cloudflare, modern frameworks, relational databases, CI/CD, and observability practices while troubleshooting and improving system reliability, performance, and operational excellence.

Serves as the primary contact for a portfolio of small-business clients, coordinating tax, bookkeeping, payroll, and advisory services. Tracks milestones, schedules expert appointments, resolves escalations, supports onboarding and platform adoption, maintains Salesforce records, identifies sales opportunities, and shares client insights internally. The role focuses on proactive communication, client satisfaction, service progression, retention, and efficient coordination across internal teams.