Top Tech Jobs & Startup Jobs in Los Angeles, CA

The Specialty Solutions Engineer will design and architect technical solutions in observability, partner with sales, and support customer engagements. Responsibilities include advising on solutions, developing relationships, and participating in pre-sales documentation.

Leads strategic client relationships and services growth for complex technology consulting engagements. Develops account strategies, identifies opportunities, shapes and closes large deals, presents proposals, and oversees cross-practice delivery. Serves as a senior trusted advisor while aligning scope, quality, staffing, economics, utilization, customer satisfaction, and business outcomes across cloud, infrastructure, application development, analytics, security, networking, and managed services.

Participates in AHEAD’s associate development program, beginning with three months of network training before supporting client projects. Collaborates across teams, analyzes technical issues, recommends solutions, manages competing priorities, and delivers projects on schedule. Requires infrastructure experience, technical education or equivalent training, data center knowledge, U.S. work authorization, and willingness to travel more than 50%. Preferred certifications include CCENT, CCNA, Network+, Server+, Security+, VCTA, and CCA-V.

Drive enterprise adoption of AI services-led solutions by developing sales strategies, building pipelines, advising C-level stakeholders, designing tailored engagements, presenting solutions, negotiating contracts, and closing complex professional or managed services deals. Collaborate with consulting, delivery, presales, engineering, marketing, and customer success teams while contributing market insights, sales enablement, and thought leadership.

Own and evolve AWS cloud infrastructure, CloudFormation, GitLab CI/CD pipelines, Datadog observability, security controls, automation, databases, and containerized workloads. Participate in on-call, incident response, troubleshooting, postmortems, cost optimization, and reliability improvements. Collaborate with software engineers to improve platform usability and mentor the team on operational excellence while supporting SOC 2 requirements and adopting AI-assisted engineering tools.

Own a product module across strategy, discovery, requirements, roadmap, launch, and lifecycle measurement. Partner with users, clients, designers, engineers, marketing, operations, and platform success to define solutions and deliver intuitive experiences. Conduct feedback sessions, validate problems, communicate roadmaps, identify AI opportunities, and drive measurable improvements in user behavior, business outcomes, and client experience.

Designs and governs production-grade agentic AI solutions across multiple squads. Translates business needs into architectures, roadmaps, requirements, security controls, and implementation plans; defines orchestration, integrations, workflows, and operational safeguards. Coordinates dependencies, technical debt, reusable patterns, and architecture governance while communicating tradeoffs to executives and stakeholders. Provides hands-on technical guidance, supports developer enablement, and directly manages engineers delivering enterprise AI and automation solutions.

Build and ship full-stack features for AHEAD’s Hatch and Unity platforms, owning work from user needs through design, implementation, testing, deployment, and support. Make architectural decisions, use AI development tools responsibly, lead code reviews, mentor engineers, collaborate with stakeholders, estimate work, manage technical risk, and help shape the engineering roadmap. The role uses Elixir and Phoenix while emphasizing adaptability, product thinking, software quality, security, and reliable delivery.

Designs, builds, secures, monitors, and supports scalable data platforms across public and multi-cloud environments. Develops batch and streaming pipelines, ELT processes, data lakes, warehouses, APIs, and integrations with transactional systems. Works with SQL and NoSQL databases and technologies including Spark, Hadoop, Databricks, Snowflake, Kinesis, and Lambda. Leads projects, presents to leadership, collaborates with clients and Scrum teams, troubleshoots issues, and enables analytics and machine learning initiatives.

Lead and implement hands-on data governance across the Data Platform: build and operate the enterprise catalog, automate lineage, embed data quality checks, configure Snowflake governance, manage access workflows and event contract governance, create governance metrics and dashboards, define standards and operating model, enable domain teams, and hire and lead a small governance function.