Own the developer experience for running training jobs on Baseten, from environment setup and job submission to scheduling, debugging, checkpointing, and recovery, helping make training and fine-tuning AI models dramatically easier.
Compensation
Competitive compensation, including meaningful equity
Responsibilities
Own the product experience for training jobs, from setup and submission through execution, monitoring, and recovery
Make distributed training easier to use, with intuitive workflows for scheduling, GPU availability, logs, checkpoints, and debugging
Work closely with research and infrastructure teams to support different training workloads, including supervised fine-tuning and reinforcement learning
Help developers recover from failures, reproduce experiments, and spend less time waiting on infrastructure
Connect training with the rest of Baseten's platform, including Loops, model evaluation, and inference deployment
Requirements
Nice to have: ML developer tools
Nice to have: Trainer and sampler systems for reinforcement learning
Product Manager for Global Revenue Growth Management (RGM) AI product at Coca‑Cola, responsible for vision, roadmap, discovery, requirements, governance, and adoption across 200+ markets.
Compensation
United States: 202,000 - 229,000 USD
Responsibilities
Own AI product vision and roadmap
Conduct discovery with RGM teams
Translate discovery into AI requirements
Prioritize backlog and define success metrics
Design governance and guardrails
Requirements
Bachelor’s degree in Business, Economics, Computer Science, Engineering, or related field; MBA or technical postgraduate degree preferred
Nice to have: B2B or enterprise platform experience
Nice to have: RGM, pricing, or commercial experience at a CPG company
Nice to have: Direct experience in Engineering, Data Science, Architecture
Lead the delivery and implementation of data and AI-enabled products for the Joint Staff CDAO, acting as the primary liaison between customer stakeholders and technical delivery teams.
Compensation
Salary Range: $103,500.00 - $181,100.00
Responsibilities
Own end-to-end implementation and delivery of data, analytics, and AI-enabled capabilities
Act as main liaison between Joint Directorate leadership, mission owners, and technical POD resources
Gather, analyze, and synthesize customer requirements and mission needs
Define user stories, acceptance criteria, and success measures
Manage stakeholder expectations and facilitate recurring product reviews, demos, and working sessions
Requirements
Bachelor’s degree
Nice to have: Experience supporting the Department of Defense
Nice to have: Experience with Chief Data and AI Offices
Nice to have: Experience with product portfolio or POD team
Nice to have: Familiarity with Joint Staff Directorates
Lead AI product strategy, roadmap, and feature delivery for Collibra’s AI Product Management team.
Compensation
The standard base salary range for this position is $204,000-255,000 per year. This position is not eligible for additional commission-based compensation. Salary offers are based on a combination of factors, including, but not limited to, experience, skills, and location.
Responsibilities
Define AI product strategy and 12‑month roadmap
Co‑author customer‑facing AI features from problem framing through launch
Lead evaluation of AI models and approaches
Set responsible AI standards with Engineering, Legal, and Security
Lead the AI/ML strategy and roadmap for Cisco Networking products, build native AI/ML functionality, shape data platform strategy, and manage a team of product managers.
Compensation
The starting salary range posted for this position is $233,900.00 to $330,400.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.
Responsibilities
Own overall AI/ML strategy and roadmap
Build native AI/ML functionality into networking products
Shape data platform strategy
Manage a team of 7 product managers
Drive product strategy, roadmap, prioritization, and execution
Requirements
Bachelor's degree
Master's degree
PhD
Nice to have: Experience with large, matrixed enterprise organizations
Nice to have: Experience interfacing with Executive Level stakeholders