Thumbtack

Security Engineer

• Own and deliver application security work within defined projects or domains. Contribute to cross-functional security initiatives, executing clearly scoped pieces of larger efforts.
• Identify, prioritize, and help remediate application security risks in partnership with engineering teams.
• Apply secure-by-default patterns and approved architectures when designing or reviewing systems.
• Support cloud infrastructure security by integrating security controls into CI/CD pipelines, IAM, networking, and runtime environments.
• Partner with product and engineering teams to assess risk and recommend practical, risk-informed security improvements. Participate in application security design reviews and threat modeling for new and existing systems.
• Write code, reviews, and documentation to address vulnerabilities and reduce recurring classes of issues.
• Participate in security incident response and contribute to post-incident analysis and remediation.

Security Engineer – App Sec, Cloud Infra

Data Scientist

• Propose and conduct quantitative research into key user behaviors, product flows, and business trends; based on analysis and in collaboration with cross-functional partners, identify potential new opportunities and next steps for the product team
• Design and analyze experiments and other tests for causal inference, in collaboration with engineers, applied scientists, and economists
• Partner with product managers, engineers, etc. to help scope new features, e.g., scenario modeling for possible impact on key metrics, make recommendations on business logic of new features, etc.
• Define and monitor key metrics; investigate changes in metrics and propose next steps
• Develop topic area expertise, e.g., develop a deep understanding of how Thumbtack search works and interacts with other systems
• Contribute to our team and company data culture through accessible data table design and maintenance
• Collaborate with, mentor, and help recruit team members

Data Scientist I, Monetization & Pricing

Manager

• Own leadership development initiatives
• Finalize the roadmap and launch programs
• Show impact with clear metrics
• Work with senior leaders and external partners
• Drive adoption of new programs

Senior Learning & Development Manager

Customer Success Manager

• Lead and coach a team of 8–10 Success Specialists responsible for retention, satisfaction, churn prevention, and growth
• Improve gross and net revenue retention through proactive outreach, renewal readiness, and risk mitigation
• Identify at-risk Pros using health signals and coach effective save and recovery strategies
• Drive adoption of high-impact Thumbtack features and close feedback loops with Product partners
• Monitor and act on performance metrics including NRR, GRR, churn, CSAT, adoption, and time-to-value
• Implement and refine playbooks for onboarding, adoption, renewals, and QBRs to improve consistency and outcomes

Pro Success Manager II

DevOps Engineer

• Design, create, and maintain software and systems to improve the availability, scalability, and efficiency of Thumbtack's services
• Set the architectural direction of infrastructure and platform services while supporting the engineering organization
• Design and implement tools and processes used for deployment, change, service, and infrastructure management
• Troubleshoot and debug critical systems throughout the SDLC
• Contribute to the evolution and performance of capabilities we provide to engineering as a platform organization
• Capacity planning and demand forecasting, anticipating performance bottlenecks
• Participate in rotating on-call duties

Senior Software Engineer, Site Reliability Engineer

Platform Engineer

• Define platform architecture and design shared services
• Build core infrastructure for analytics and ML
• Drive data quality and observability standards
• Improve developer experience for data producers and consumers
• Mentor engineers and evangelize best practices
• Make pragmatic architecture decisions.

Staff Data Platform Engineer

• Define platform architecture. Design and evolve shared platform services (data ingestion, orchestration, transformation, metadata, and observability) that balance scale, cost, and operational simplicity.
• Build core infrastructure. Implement and own platform features (e.g., transformation frameworks, feature stores, real-time ingestion pipelines, lineage and observability) that power analytics and ML.
• Drive data quality & observability. Champion observability, governance, and data quality standards so every dataset is trustworthy and measurable.
• Enable developers. Improve the developer experience for data producers and consumers—tooling, templates, docs, and CI/CD for data assets.
• Lead through influence. Mentor platform and product engineers, evangelize best practices across teams, and partner with analytics, ML, and product to prioritize platform investments.
• Balance tradeoffs. Make pragmatic architecture decisions and articulate tradeoffs between speed, reliability, and maintenance cost.