We are building a creative, dynamic, and diverse team that’s committed to developing innovative privacy technology through the power of AI and data science. Tumult Labs cultivates a collaborative work environment based on continuous learning, creative problem-solving, expression of unique views, and mutual respect for work/life balance.
Tumult Labs is looking for a Senior Client Project Manager who will be able to who will be able to capture and understand customer requirements; work with scientists and engineers to align requirements to existing technology and technology roadmap; create and document a project plan including objectives, scope, phases, requirements, and deliverables; create appropriate tracking artifacts and keep up to date with input from technical leads; communicate project status to stakeholders; attend client meetings; work with solution-leads to communicate status, timeline and risks; mitigate risks, maintain quality assurance, and address concerns while overseeing phase, milestone, and final project reviews; ensure compliance with relevant regulations that pertain to projects under their purview; support software-development projects including running meetings and tracking progress; and solicit feedback from software engineers and suggest appropriate modifications of the software-development lifecycle.
Tumult Labs is looking for a software engineer who will work with a small, dedicated team of scientists and engineers to develop and deploy advanced privacy tools. The ideal candidate will work from specifications to build or modify software applications, potentially participating in all phases of the product development lifecycle, from design and prototyping to execution and shipping. They will assist with coding, debugging, testing, and documentation of code. They will support deployment of applications in cloud computing environments and interaction with relational databases and/or Apache Spark.
Tumult Labs is looking for a computer science PhD or Masters student to develop and deploy advanced privacy tools, such as designing algorithmic privacy solutions; developing product specifications and prototypes; and measuring the properties of privacy solutions empirically and/or theoretically