Data Science Manager

Tatari•San Francisco, CA

11h•$140,000 - $180,000•Hybrid

About The Position

Tatari is on a mission to revolutionize TV advertising. We work with some of your favorite disruptor brands—like Calm, Vuori, Rocket Money, and hundreds more—to grow their business using linear and streaming TV ads. Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising into an automated, digital-like experience. Our technology and services are pushing the industry forward, enabling businesses of any size to advertise on TV. Named one of the 16 Hottest Ad Tech Companies by Business Insider and Best Places to Work by Inc. Magazine, Tatari is experiencing rapid growth. Our executive team is comprised of former founders and senior leaders at fast-rising startups like Shazam, TrueCar, AdapTV, and LiveRail and larger, more established tech companies like Amazon, Google, Meta, Microsoft, and Yahoo. We’re looking for a Data Science Manager to lead our growing AI product data science function. This is a foundational role focused on building and managing a small team of data scientists working on customer-facing features powered by machine learning and LLMs. You’ll partner closely with Product, Engineering, and Platform teams to deliver fast-moving experiments, shape the roadmap for AI innovation, and lay the foundation for scalable, production-ready AI systems. While this is not an individual contributor (IC) role, we’re looking for someone with the technical depth to meaningfully collaborate on modeling and system design, and the management experience to lead a team through execution. You’ll play a central role in shaping how AI shows up in our product and how the team behind it grows.

Requirements

Master’s degree or equivalent experience in a technical field (e.g., Computer Science, Mathematics, Physics, Data Science, etc.)
Minimum 2 years of management experience, plus minimum of 6 years of experience in a Data Science role, or a related role in a technology environment
Strong strategic thinking and project management skills, including priority and dependency management across several large projects with multiple stakeholders
Strong organizational and leadership skills, able to exercise judgment to make tradeoffs through cost-benefit analysis
Ability to translate complex concepts to both technical and non-technical stakeholders and drive alignment across Product, Engineering, and Data Science
Proven ability to lead through ambiguity and move from 0→1 with new features or systems
Advanced knowledge of statistics and probability, particularly their application in model development
Intermediate to advanced experience in Data Manipulation Software (e.g. SQL, Python), cloud computing environments (e.g., AWS), and ML workflows or toolkits

Nice To Haves

PhD in a technical field
Demonstrated experience in leading AI work, ideally including work with LLMs, embeddings, or ranking/recommender systems – with a successful track record of end-to-end implementation.
TV Media Industry or Ad Tech experience a plus

Responsibilities

Manage and grow a team of data scientists focused on AI/ML product development
Facilitate the team’s design of algorithms and models to innovate, research, and deliver on product features that drive and expand our business opportunities
Empower the team to innovate and explore new methodologies and improve upon existing algorithms
Actively develop strong working relationships across Product, Engineering, and Infrastructure teams to foster alignment, drive shared decision-making, and accelerate delivery of AI-powered features
Collaborate with partner teams to define scope, translate product requirements into technical approaches, and ensure successful delivery
Own Data Science prioritization for AI/ML outcomes, allocate resources and manage workload
Drive execution of AI/ML projects by tracking progress, aligning timelines with stakeholders, and ensuring timely, high-quality delivery
Assess and mitigate risks to delivery, owning accountability for downstream business impacts
Promote high-quality experimentation, modeling, and evaluation standards, with an emphasis on reliability and product value
Develop lightweight but effective team processes to support fast iteration and scalable AI delivery
Conduct performance reviews, coach team members, and support career growth planning for direct reports
Contribute to hiring and onboarding efforts for the team