Top Tech Jobs & Startup Jobs in San Diego, CA

Own the full sales cycle targeting regional and mid-market Property & Casualty insurers, MGAs, mutuals and InsurTechs. Build pipeline through prospecting and relationships, deliver presentations and proposals, negotiate contracts, close deals, transition clients to account management, maintain CRM and forecasts, represent the company at industry events, and collaborate with marketing and operations to drive growth.

Design and own growth-critical surfaces (pricing, paywalls, upgrades, checkout) to drive ARR, expansion, and reduce churn. Create hypotheses, run A/B tests with growth engineering and data, iterate fast on winners, and ensure visual/interaction consistency. Set design direction for growth surfaces and mentor other designers.

Own revenue accounting and Order-to-Cash: prepare journal entries, AR and deferred revenue reconciliations, invoicing, collections, revenue recognition workbooks, process improvements, controls, and audit support while partnering with Sales, FP&A, and Legal.

Manage a large portfolio of scaled mid-market SaaS clients to drive product adoption, retention, and expansion. Monitor account health and usage trends, lead renewal conversations, handle escalations, and deliver programmatic enablement. Act as voice of the customer internally, apply AI and data-driven insights, and influence product and process improvements to maximize customer value.

Lead strategic data evolution for Fund Administration clients, building dashboards, managing stakeholders, and translating business needs into actionable insights.

Own technical onboarding for merchants launching on TikTok Shop with AfterShip Channels. Configure integrations (products, orders, inventory), troubleshoot API and mapping issues, teach merchants to use advanced features, drive go-live within ~30 days, and partner with product and GTM teams to surface product improvements and growth opportunities.

Manage and develop a team of project managers delivering eDiscovery services. Ensure high-quality client service, allocate workload, handle escalations, improve workflows, and provide hands-on project support and coaching.

Lead global go-to-market strategy for eDiscovery solutions, shaping positioning, messaging, and sales enablement while driving revenue growth and product adoption.

Manage end-to-end delivery of multiple concurrent eDiscovery projects as primary client contact. Ensure projects meet scope, timeline, quality, compliance, and budget. Coordinate internal teams, provide reporting, forecast revenue/invoicing, advise on scoping with sales, and maintain client relationships. Require eDiscovery technical knowledge, data processing/hosting familiarity, regulatory awareness, and strong communication under pressure.

Lead and manage a Salesforce engineering delivery team to design, build, test, and deploy scalable, secure Salesforce solutions. Drive Agile and DevOps practices, enforce release governance, integrate AI and Data Cloud capabilities, ensure HIPAA/PHI compliance, and collaborate with product, platform, and operations teams to execute the enterprise roadmap and unblock technical work.

Act as the client-facing bridge to product and engineering: gather and prioritize requirements, manage onboarding/scoping/delivery communications, support engineers with context, create repeatable deployment patterns, and convert customer insights into roadmap priorities.

Lead global SaaS and cloud workplace operations, managing Microsoft 365 and Google Workspace, IAM (SSO, Entra, MFA), Zero Trust enforcement, automation (Power Automate, Zapier, PowerShell, Python), onboarding/offboarding, security/compliance collaboration, and mentoring IT teams to ensure secure, scalable, and efficient cloud environments.

Partner with GTM leadership to own subscription revenue and ARR forecasting, lead sales capacity and expense planning, provide deal economics and ROI analysis, support strategic planning and board reporting, and drive automation/AI-enabled finance processes to optimize growth.

Own and architect the semantic layer and metrics/metadata for the data platform (Databricks/GCP). Build AI-ready models, enforce modeling and documentation standards, implement observability/testing for pipelines, enable self-serve analytics, and collaborate across product, clinical, and business teams to translate questions into reliable data solutions.