Jobs at Mozilla

As a Senior Marketing Data Scientist, you will conduct quantitative analyses, manage marketing tests, and provide actionable insights to enhance marketing performance and investment effectiveness.

Contract senior technical recruiter responsible for full-cycle hiring: partner with hiring managers, source and screen candidates (using tools like HireEz and LinkedIn), assess technical skills, manage the recruitment process through ATS (Greenhouse preferred), drive diverse pipelines, collaborate with compensation/legal/finance teams, and use data analytics to improve recruitment strategies.

Contract senior technical recruiter responsible for full-cycle hiring: partnering with hiring managers, sourcing and screening candidates via tools like HireEz and LinkedIn, assessing technical skills, managing offers, building diverse pipelines, collaborating with compensation/legal/finance, and using analytics to improve strategies.

Lead full-lifecycle Go-To-Market hiring across EMEA, sourcing senior commercial talent, building diverse pipelines, advising GTM leaders on market intelligence, negotiating complex international offers, and maintaining Greenhouse ATS hygiene and hiring metrics to optimize recruitment processes.

The Staff Data Scientist will own the analytical strategy for Firefox, driving data-informed decisions through measurement frameworks, experiments, and user growth analysis, while mentoring other data scientists.

Lead development and improvement of Firefox's Gecko accessibility engine: write and test C++ code, debug multi-process/multi-threaded and OS-specific issues, collaborate with design and product teams, influence web accessibility standards, build infrastructure exposing the web platform to assistive technologies, and ensure memory and performance targets are met.

Work on Firefox accessibility by improving the Gecko accessibility engine: write and test C++ code, debug multi-process/multi-threaded and OS-specific issues, collaborate with designers and other browser teams, influence web accessibility standards, and build infrastructure to expose the web platform to assistive technologies.

Design, fine-tune, evaluate, and deploy LLM-driven, user-facing browser features using RAG, embeddings, prompt engineering, and modern ML tooling. Lead end-to-end model lifecycle, run production experiments, collaborate with product and engineering, and document and review work with an emphasis on privacy, latency, and usability.

The Staff Data Scientist will lead analytical strategies for Firefox, focusing on product growth, measurement frameworks, and mentoring data scientists while guiding data-driven decisions.

Design, build, and maintain scripts, APIs, and automations for workplace systems and AI/agent integrations. Develop integrations between collaboration tools and identity platforms, implement observability, improve onboarding/offboarding workflows, and collaborate with IT, Security, and People teams to embed secure, scalable automation. Participate in pilots for LLMs/agents and contribute to documentation, code review, and reusable integration libraries.

Design, build, and maintain scripts, APIs, integrations and agentic automations for workplace systems (collaboration tools and identity platforms). Implement monitoring and observability, automate onboarding/offboarding and access workflows, integrate LLMs/agents for productivity, collaborate with IT/security/People teams to ensure compliance, and contribute to code review, documentation, and reusable integration templates.

Lead iOS development for Thunderbird: design and improve mobile architecture, optimize performance and security, debug and test across unit/integration/automation, review and document technical decisions, own projects end-to-end, and collaborate with product, UX, and open-source contributors to deliver a scalable, accessible, and maintainable iOS app.

Lead design and development of Thunderbird's iOS app, improving architecture, performance, reliability, security, and accessibility. Own projects end-to-end, debug and test at unit/integration/automated levels, review code, mentor contributors, and document technical decisions while collaborating with product, UX, and open-source community.

Lead architecture and implementation of production-grade multi-agent, LLM-driven systems and developer tooling. Design orchestration layers, integrate/combine commercial and open-source models, establish benchmarking and evaluation practices, mentor engineers, and balance rapid prototyping with long-term scalable architectures for a new browser automation platform.

Lead data-driven strategy by partnering with senior executives, design and deliver sophisticated analytical solutions on large-scale data, build trusted cross-functional relationships, and mentor data scientists to raise analytical quality across the organization.

Lead data-driven strategy by partnering with senior executives to deliver rigorous analytical solutions. Design and implement sophisticated analyses on large-scale data, build trusted cross-functional relationships, mentor data scientists, and influence long-term product and business decisions.

Lead customer and partner go-to-market for a new browser automation platform: identify design partners, build pipeline, run discovery and technical sales cycles, shape pilots/POCs, close early commercial deals, and feed product requirements back to engineering.

Lead customer and partner go-to-market for a new browser automation platform: identify design partners, build pipeline, run discovery and technical sales, shape pilots/POCs, close LOIs and early commercial deals, and partner with engineering to translate customer needs into product roadmap.

Lead architecture and implementation of production-grade agentic systems and multi-agent frameworks. Orchestrate LLM workflows, integrate commercial and open-source models, build AI developer tooling, establish benchmarking and evaluation for agent reliability and performance, mentor engineers, and balance rapid prototyping with long-term scalable architecture.

Lead backend development and operate services end-to-end: design, implement, deploy, monitor, and troubleshoot cloud-based back-end systems. Participate in on-call rotation, collaborate with frontend, CloudEng, and product teams, conduct code and security/privacy reviews, and mentor junior engineers.