Staff Product Manager, AI Scheduling

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com. Team Description: The Ads Marketplace team is a strategic growth engine for Reddit Ads. Our mission is to democratize high-performance advertising by enabling brands to achieve world-class results with minimal friction. To achieve this, we need an incredibly robust, scalable, and state-of-the-art Machine Learning infrastructure. The Ads ML Platform team is at the core of this mission, tasked with building the foundation that powers all of our content understanding, ad targeting, and ad ranking models. We are empowering our ML engineers and data scientists to move faster and build smarter. The Role: As the Staff Product Manager for the Ads ML Platform, you will hold significant ownership over the infrastructure and tools that make our ads marketplace intelligent. You will define the vision and build the roadmap for a platform that enables unparalleled engineering velocity and supports the most modern ML architectures. You will be the bridge between complex ML systems and business outcomes. Whether it's integrating generative AI to increase developer productivity, establishing unified model-serving infrastructure, or optimizing GPU utilization, your work will directly accelerate how quickly and effectively we can ship highly-performant ad products. If you are passionate about the intersection of platform engineering and state-of-the-art ML research, this is the role for you. Responsibilities * Define the Vision: Shape the long-term strategy and roadmap for Reddit’s Ads ML platform, ensuring we are adopting cutting-edge technologies (including Generative AI and LLM workflows) to stay ahead of the curve. * Accelerate Velocity: Build products and tooling that dramatically reduce friction for Machine Learning Engineers (MLEs) and Data Scientists, enabling them to train, deploy, and iterate on models faster than ever. * Cross-Functional Leadership: Partner deeply with Engineering, Data Science, and Ads Product teams to understand their constraints, prioritize platform initiatives, and deliver scalable infrastructure. * Drive Execution and Adoption: Own key performance indicators (KPIs) around platform reliability, latency, cost-efficiency, usage metrics, and developer productivity. * Stay Cutting-Edge: Keep your finger on the pulse of the broader ML ecosystem. Read the latest research papers, understand emerging architectures, and determine how they can be practically applied to Reddit’s Ads ML platform. * Distill pain points, translate to requirements: Conduct regular user research with MLEs in Ranking, Creative Effectiveness and Content Understanding to convert pain points (e.g., slow backfills, limited training speed, no way to quickly share features across models) into precise product requirements. Validate the needs and ensure they are tied into a broader vision for the org. Minimum Qualifications: * At least 7+ years of product management experience, with prior focus internal technical products, developer tools, data/ML platforms, and/or ads and content ranking. * Deeply analytical and highly technical background; you are comfortable working in complex data systems and understanding the entire machine learning lifecycle (training, inference, deployment, monitoring). * Genuine passion for machine learning and AI; you stay at the forefront of ML, enjoy reading ML research papers, stay informed on the latest industry trends, architectures, and capabilities. * Exceptional problem-solving skills and the ability to translate highly technical constraints (e.g., GPU scheduling, latency budgets) into actionable product roadmaps. * Strong communication skills; you can seamlessly translate technical requirements to business stakeholders and articulate business goals to engineering teams. Preferred Qualifications: * Prior professional experience as a Machine Learning Engineer, Data Scientist, or Backend Software Engineer before transitioning into Product Management. * Understanding of the Ad Tech ecosystem (bidding, ranking, targeting). * Experience implementing or managing systems that support Generative AI/LLM workflows (Agentic automation, Prompt iteration, Fine-tuning, RAG). Perks and Benefits: * 100% remote opportunity (we have 4 office locations for hybrid/onsite work preference in NY, SF, LA and Chicago) * Competitive salary and equity options * Comprehensive health benefits (medical, dental, vision) & workplace perks (home office set up stipend etc) * Generous 401k matching * Flexible vacation policy  * Paid parental leave (4+ months) * Family planning support * Paid volunteer time off #LI-AS1     Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $217,000—$303,900 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

P-1558 We are looking for a strong Support Operations Leader, who will serve as the operational leader and strategic partner for the Bangalore support team. You will own critical support operations workflows and rhythms, strengthen coverage across priority support motions, and partner closely with cross-functional teams to improve how support operates at scale. An ideal candidate for this role will be a hands-on operational leader with a strong product operations mindset. The candidate will own core support operations rhythms, including shift scheduling, coverage planning, workflow clarity, and operating cadences, while driving cross-functional alignment across Support, Product, Engineering, and R&D Ops to improve team effectiveness and close operational gaps. This person should be comfortable organizing ambiguity, bringing structure to fast-moving environments, and translating strategy into clear execution. They will act as the trusted day-to-day partner for the support team, help bridge communication and execution gaps across regions, and drive process maturity that measurably improves support readiness and team effectiveness. The impact you will have: * Own support shift scheduling and coverage planning to ensure the Bangalore team has consistent, effective operational support across priority workflows * Identify, prioritize, and close support coverage gaps across teams, regions, and operating hours, and drive clear action plans with leadership * Act as the day-to-day operational leader and partner for the Bangalore support team, helping translate team priorities into execution * Establish, scale, and continuously improve core support processes, operating cadences, and team workflows * Partner closely with Support, Product, Engineering, and R&D Ops to drive cross-functional alignment on support workflows, role clarity, playbooks, and execution priorities * Organize and drive key operational workstreams for the team, anticipating roadblocks, tracking dependencies, and keeping work moving through ambiguity * Use AI tools (Claude Code, Glean, Databricks AI assistants, ChatGPT) every day to scale your own throughput - briefing prep, ticket triage, draft comms, root cause exploration, repetitive ops workflows * Surface recurring operational friction and support pain points, then work cross-functionally to drive durable fixes instead of one-off workarounds * Help bridge communication, decision-making, and execution gaps between the Bangalore support team and partner teams in other regions * Bring a strong product operations lens to support operations by combining process rigor, stakeholder management, and clear operational judgment What we look for: * 10 to 15+ years of experience in product operations, support operations, program management, or a similar cross-functional operational leadership role * Experience managing or influencing support operations, workforce planning, shift coverage, or service delivery models * Strong cross-functional leadership, with a track record of partnering effectively with Support, Product, Engineering, and Operations teams * Excellent and proven ability to manage multiple cross-functional projects with competing priorities.  * Advanced level of working knowledge of the Google Suite of products (ability to create executive updates, MBR, QBR decks, etc.). * AI-first working style. You already use Claude Code, ChatGPT, Cursor, Glean, NotebookLM, or similar in your current role, and can give concrete examples of how it's changed the quality of your output, not just your speed * Experience establishing or improving processes, operating cadences, workflows, tooling, or role clarity in support or operations environments * Ability to create clarity from ambiguity, structure loosely defined problems, and independently drive issues to closure * Strong judgment, ownership, and a bias for action; someone who rolls up their sleeves and brings plans to life * Analytical enough to identify patterns and operational gaps, but fundamentally oriented toward execution, operational leadership, and business impact About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.