Top Remote Jobs in San Luis Obispo, CA

Design and maintain analytical data models, transformation frameworks, data-quality checks, semantic definitions, and metric consistency across analytics and customer-facing products. Partner with engineering, product, and analytics teams to document data, improve lineage, and enable trustworthy self-service data usage. The role requires advanced SQL, analytics engineering, dimensional modeling, testing, and collaborative translation of business concepts into precise data definitions.

Design data-rich workflows, interfaces, visualizations, and controls for brokers, agency leaders, and internal operations teams. Conduct user research, translate complex data into intuitive experiences, partner with Product, Engineering, and Data from discovery through launch, contribute to Spark’s design system, and incorporate AI into design workflows.

Own clinic communications, customer case studies, engagement programs, pet-parent educational content, partner resources, and scalable content processes. Collaborate with Product, Customer Success, Growth, sales, veterinary experts, and external partners to create and distribute content across products and marketing channels. Manage video production, vendors, budgets, editorial workflows, and performance measurement while strengthening Vetcove’s brand presence.

Build and operate platform infrastructure for product analytics, data processing, and ML systems. Responsibilities include event tracking pipelines, Databricks Bronze-to-Gold lakehouse layers, schema evolution, data contracts, CI validation, backfills, monitoring, feature computation, model pipelines, lineage, PHI policy enforcement, and self-service developer tooling. The role focuses on making data and ML changes safe, observable, reproducible, and accessible to engineers and subject-matter experts.

Lead end-to-end strategy and execution for conferences, trade shows, sponsorships, and ancillary events. Manage logistics, budgets, vendors, booth experience, speaker submissions, and onsite operations. Align events with sales and marketing priorities, capture and route leads, measure event KPIs and ROI, and travel regularly for onsite execution.

Leads product operations across software teams by optimizing development processes, tracking product usage and feature adoption, managing roadmaps and Jira governance, consolidating customer feedback, coordinating risk and decision-making, and enabling go-to-market launches. Partners with product, engineering, program, marketing, and support teams to improve communication, delivery timelines, and product quality.

Implement and optimize cross-channel marketing campaigns using Braze and data warehouse integrations. Build complex journey flows, dynamic templates (Liquid), audience segmentation, and QA campaigns. Collaborate with marketing and engineering to validate data, ensure compliance (SMS/email), and scale personalized lifecycle messaging.

Lead technical client onboarding, migrations, solution design, integrations, data orchestration, troubleshooting, and project delivery for Movable Ink’s AI-powered personalization platform. Partner with clients and internal teams to implement custom workflows, APIs, webhooks, and data solutions. Conduct training and workshops, provide product expertise, advise on roadmap improvements, and support long-term client success across email and mobile marketing programs.

Leads and develops a Solutions Consulting team supporting enterprise and mid-market SaaS sales. Builds scalable presales operating systems, including playbooks, capacity models, coverage plans, enablement, and performance reporting. Personally supports strategic deals while partnering across Sales, Product, Engineering, Marketing, Operations, and Post-Sales. Drives executive engagement, complex solution design, deal execution, customer adoption, and improvements to win rates and time-to-value.

Own the product strategy and roadmap for SEO and AI visibility across thousands of real estate websites. Lead technical SEO foundations, structured data, performance, experimentation, migrations, measurement, and AI citation visibility. Partner with engineering and product teams to establish scalable defaults, safeguards, acceptance criteria, and reporting that improve organic discovery, client conversions, and platform-wide search quality.