Top Tech Jobs & Startup Jobs in Los Angeles, CA

Owns CX quality assurance across multiple support teams and channels, including interaction audits, scorecards, calibration, coaching, reporting, and QA automation. Manages lab and phlebotomy partner relationships, diagnostics metrics, escalations, and issue resolution. Works directly in Zendesk handling complex member inquiries, supports franchise-center teams and RNs, maintains documentation, and contributes to training and process improvement.

Own and scale the US tax function for startups: manage federal and state corporate and personal tax filings, ensure multi-state compliance, drive automation and process improvements, provide light advisory on compensation and entity structuring, and collaborate with accounting while communicating directly with founders.

Provide Tier 2 and Tier 3 customer-facing support for federal ICAM environments. Resolve identity lifecycle, provisioning, entitlement, authentication, SSO, MFA, federation, and conditional access issues across SailPoint, Microsoft Entra ID, and GitHub. Document incidents in ServiceNow, perform root cause analysis, support change validation, maintain knowledge articles, report SLA metrics, and coordinate with engineering, security, platform, and government stakeholders.

Drive new-logo growth across Life Sciences accounts in Northern California and territories west of the Mississippi. Build territory strategy, generate pipeline, lead complex enterprise SaaS sales cycles, engage executive and technical stakeholders, develop ROI-based business cases, and close strategic platform deals valued at $500K–$1M+ ACV. Partner with Siemens, Marketing, Product, and Customer Success to expand enterprise opportunities and support digital transformation initiatives.

Grows the SBA and conventional commercial lending portfolio by originating loans, developing referral networks, evaluating credit opportunities, guiding clients through closing, and cross-selling bank products. The role manages client relationships, assesses financial statements and collateral, partners with credit and operations teams, and represents the bank through community networking and business development activities.

Owns new customer acquisition and ARR growth across a Southwest enterprise territory. Responsibilities include strategic prospecting, pipeline generation, lead qualification using MEDDPICC, collaboration with marketing, BDR, sales engineering, technical, and product teams, CRM management in Salesforce, enterprise negotiations, free-trial conversion, and closing complex six-figure deals. The role requires consistent quota attainment and selling cybersecurity solutions to technical and executive stakeholders.

Assesses enterprise information security risks, performs vulnerability and security posture assessments, and coordinates remediation across networks, systems, applications, and vendors. Develops security policies and standards aligned with SOX, PCI, HIPAA, and NIST guidance; supports audits, incident response, training, access monitoring, and security projects. Communicates technical risks and corrective actions to technical and nontechnical stakeholders while mentoring teams and managing competing priorities.

Manage strategic relationships with enterprise SaaS customers after implementation. Drive adoption, retention, satisfaction, and measurable customer outcomes through executive engagement, quarterly business reviews, account health monitoring, and usage analysis. Identify expansion opportunities, collaborate with Sales and internal product teams, advocate for customer needs, maintain account records in Planhat, and travel to key customer sites and events approximately 25% of the time.

Acquire new enterprise and government customers by prospecting, building pipeline, developing account plans, engaging C-level executives, positioning Ivalua’s procurement solutions, coordinating internal teams, delivering executive proposals, closing complex deals, exceeding sales targets, and maintaining accurate forecasts.

Build full-stack marketplace features for search, ranking, and renter-facing products while supporting ML Ops infrastructure. Develop model deployment pipelines, feature stores, real-time data pipelines, monitoring, and production integrations with data scientists. Write tested code, review contributions, plan technical work, and improve system performance, reliability, and scalability. Collaborate with product and globally distributed engineering teams.