Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Own the end-to-end architecture and roadmap for MyFitnessPal’s product data stack. Coordinate data platform contributions across engineering, analytics, and BI teams; establish data movement, standardization, governance, security, and compliance practices; evaluate and consolidate tools; manage access, licensing, and spend; and drive architecture standards, documentation, and adoption across the organization.

Manage CRM operations for lifecycle marketing, serving as the Braze subject-matter expert. Build segmentation, personalization, automation, templates, governance, and data processes; troubleshoot integrations and pipelines with technical partners; support campaign setup, QA, rendering, deliverability, and triggered journeys; and execute partner advertising campaigns. The role also maintains campaign tracking and improves operational efficiency through automation and scalable frameworks.

Own reliability and security of CI/CD and production services: define SLI/SLOs, lead incident response and postmortems, build observability (Datadog), operate Kubernetes and IaC (Terraform), harden pipelines with SAST/DAST/SCA and policy-as-code, and coach teams on reliability and operational best practices.

Designs and leads scalable data platforms, event-driven services, orchestration pipelines, and DataOps practices using Python, Airflow, Snowflake, Kafka, and related technologies. The role establishes engineering standards, governance, security, observability, cost efficiency, and AI-assisted development practices. It also mentors engineers, drives cross-functional initiatives, modernizes data ingestion, and ensures reliable, compliant, and well-governed systems.

Own and scale influencer marketing strategy for Viral Automations, including budgeting, forecasting, campaign performance analysis, partner selection, deal structures, process improvements, and measurement. Translate business goals into priorities and resource plans, connect influencer results to growth KPIs, improve team efficiency, coach team members, and coordinate with Paid, Brand, Finance, Legal, and Creative teams.

Lead MyFitnessPal’s brand marketing strategy and campaigns from planning through launch and measurement. Own brand guidelines, campaign calendars, budgets, KPIs, and consumer insights while managing creative and media agencies. Develop briefs, oversee production across paid and owned channels, ensure brand consistency, evaluate performance, and translate analytics into recommendations. Train teams and partners on brand standards and AI-assisted review processes, while presenting results and strategic recommendations to senior leadership.

Lead MyFitnessPal’s product analytics practice and team, advising the Chief Product Officer and senior leaders through actionable data insights. Define product metrics, oversee experimentation, analyze customer and marketing behavior, improve instrumentation and data infrastructure, and shape product strategy, roadmaps, engagement, and retention. This hands-on director role combines executive communication, team development, analytical leadership, and direct analysis across consumer iOS and Android applications.

Lead strategy, roadmap, and measurable outcomes for Cal AI, an early-stage mobile app. Own product direction, drive cross-functional alignment, champion continuous discovery and experimentation, scale the product post-product-market fit, and improve MyFitnessPals product operating model to deliver durable user and business growth.

Lead a cross-functional backend and iOS engineering squad to grow paid subscribers by building and maintaining app store and Stripe integrations, prioritize platform stability, drive growth experiments, manage delivery and tech debt, and coach engineers through close partnership with Product and Design.

Own and maintain KPI reporting pipelines and business logic, ensure data quality, diagnose KPI changes, perform deep-dive analyses, build dashboards and visualizations, architect data models and curated reporting zones, and partner with Data Engineering and product/marketing stakeholders to enable self-service analytics.