Top Tech Jobs & Startup Jobs in Los Angeles, CA

Lead complex SaaS customer implementations from contract signature through adoption and handoff to Customer Success. Manage 30–40 concurrent projects, create milestone plans, conduct training and executive updates, guide technical rollouts, resolve risks and blockers, and coordinate with Product, Support, and CS. The role requires strong communication, organization, stakeholder management, autonomy, and the ability to drive customer accountability without direct authority.

Own a $1.2M new-ARR quota selling Devs.ai’s AI platform to enterprise technology companies. Build outbound pipeline, manage complex multi-stakeholder sales cycles, run proofs of value, coordinate security, legal, and procurement processes, and close six-figure deals. The role requires consultative selling to technical and executive stakeholders, accurate forecasting, CRM discipline, business-case development, and collaboration with product, marketing, solution engineering, partners, and cloud providers.

Leads enterprise sales growth with national and regional health plans, owning new-logo acquisition and expansion. Builds executive relationships, develops territory and account strategies, leads complex RFP-driven multi-year pursuits, and collaborates with marketing, SDRs, sales engineering, and deal desk teams. Maintains pipeline and forecast accuracy in Salesforce and HubSpot while pursuing large healthcare services opportunities across member engagement, contact center, care management, quality outreach, and digital engagement.

Handles inbound and outbound calls with prospective students, uses scripts and multiple contact systems, screens inquiries, qualifies prospects, and warm-transfers them to admissions advisors. Maintains accurate records, meets call-quality and conversion metrics, follows schedules, supports marketing call tracking, and adapts to new scripts and processes. Evening and weekend flexibility may be required.

Data Engineer II will modernize BlueLabs’ data platform by leading Kimball dimensional modeling and legacy warehouse migrations, building reliable production data pipelines, and enforcing data quality standards. The role requires advanced SQL, Python, and dbt expertise, hands-on Snowflake and Redshift experience, and ownership of testing, documentation, observability, and scalable architecture. The engineer will collaborate cross-functionally, guide Data Engineer I team members, contribute to architectural decisions, and translate business logic into maintainable, cloud-agnostic data layers.

Manage top-of-funnel lead lifecycle: convert inbound MQLs, execute multi-channel outbound prospecting, qualify prospects, book meetings for Sales, maintain Salesforce data, and collaborate with Marketing to improve messaging and campaign effectiveness.

Administer and optimize enterprise Windows and Linux infrastructure, virtualization, cloud platforms, networks, storage, security, endpoints, identity systems, and disaster recovery. Monitor performance, resolve infrastructure issues, maintain compliance controls, document systems, support technical escalations, and lead upgrades, migrations, and deployments. The role requires independent management of complex environments and strong communication with technical and non-technical stakeholders.

Leads cross-product marketing for One Identity’s identity-security portfolio. Develops unified positioning, messaging, segmentation, solution content, sales enablement, competitive intelligence, campaigns, events, and marketing strategies. Partners globally with product management, sales, field marketing, agencies, customers, analysts, and partners to strengthen branding, generate pipeline, and achieve business targets.

Owns end-to-end creative production across concurrent experiential programs, managing graphics grids, asset libraries, timelines, approvals, proofs, quality control, print and fabrication vendors, swag production, budgets, freelancers, and onsite installation checks. The role ensures creative assets are on brand, on spec, on time, and within budget while improving production systems and coordinating internal teams, clients, contractors, and vendors.

Build and deploy data integrations, AI-powered workflows, and internal tools. Responsibilities include connecting APIs and databases, improving data quality, implementing validation and monitoring, developing retrieval and automation applications, translating business needs into deliverables, deploying production solutions, documenting systems, and transferring knowledge to internal teams.