Ibotta

Data Scientist

• Contribute to creating best practices for the team
• Initiate and drive collaboration with stakeholders, architects, and data engineers to discover, define, cleanse, and refine the data needed for analysis and modeling
• Analyze large and novel datasets to extract actionable insights to inform model development and understand consumer behavior
• Inform experimental design to formulate solutions addressing major business challenges and innovation opportunities
• Build models using a variety of statistical and machine learning techniques, from selecting the best type of model for the problem to using techniques to measure and optimize model performance
• Prepare models for production deployment and monitoring of performance over time
• Embrace and uphold Ibotta’s Core Values of Integrity, Boldness, Ownership, Teamwork, Transparency, & A good idea can come from anywhere

Data Scientist, Client Data & Measurement

Data Engineer

• Implement and maintain data contract specifications that codify table ownership, schema expectations, and quality thresholds.
• Enforce standards through automated validation in the deployment pipeline.
• Collaborate with data owners to improve metadata coverage across the team's data estate.
• Contribute to an automated scoring pipeline that evaluates data assets on their readiness for AI and analytical use.
• Build and maintain the jobs that collect quality signals and surface scores to data teams.
• Support the discovery and classification of sensitive data across the data estate.
• Maintain tagging and lineage automation frameworks.
• Monitor AI usage across the company, defining new avenues for AI assistance.
• Build systems that make people actually trust AI outputs regarding data, including query accuracy checks and clear attribution.
• Build and maintain the semantic framework that makes data assets more legible to both people and AI systems.
• Proactively leverage AI tools to accelerate development, maintain code quality, and explore new approaches to data engineering problems.
• Partner with adjacent teams to onboard data assets into the AI-ready platform.

Director

• Lead the Client Data & Measurement team: recruiting, mentoring, coaching and developing a team of managers and analytics professionals, with a focus on building and scaling the team and offerings
• Work with internal stakeholders to identify, define and prioritize the roadmap for delivering impactful advanced analyses and automations for clients, while driving internal projects to expand on Ibotta's revenue
• Communicate with external clients to understand their ways of performance measurement, present our approach, and determine how our data can be best used to support program performance
• Partner with other technical leaders on Engineering, Architecture, Product and Analytics to define and advocate for Client Analytics data and reporting priorities
• In collaboration with internal partners, own Ibotta’s promotions and media measurement solutions by conceptualizing, designing, and providing external clients industry-leading and market-defensible methodologies that power Ibotta’s measurement solutions; partner cross-functionally to build scalable solutions
• Shape and prioritize Client Data & Measurement strategy and align to organizational objectives, based on your expertise and understanding of market trends.
• Manage, with support from your direct reports, day-to-day development & delivery of all Client Data & Measurement requests and roadmap priorities
• Uncover automated processes to scale the business and better leverage our high-potential data asset, including proactively identifying industry trends and insights that compel Clients to invest in Ibotta.
• Work with peers and other business partners to introduce efficiencies for the team
• Research industry trends and standards to stay abreast of new developments
• Lead cross-functional teams in driving and delivering key data and analytics products and initiatives
• Embrace and uphold Ibotta’s Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency, & A good idea can come from anywhere

Director, Client Data – Measurement

Artificial Intelligence

• Guide the Product Team’s & Company’s strategy for AI adoption
• Build, maintain, and expand the suite of AI-powered skills and tools
• Develop and maintain a structured context library
• Own templates for PRDs, roadmaps, business cases
• Partner with Finance to track metrics and update units
• Ensure PMs have configured AI environments
• Serve as the internal expert on AI toolchain configuration
• Drive AI tool adoption through enablement and training

Principal PM, AI Enablement

• Help lead the continued evolution of Ibotta's measurement methodology through exploration of cutting-edge measurement research and experimental design
• Collaborate as the go-to troubleshooter for measurement anomalies—exploring outlier results, diagnosing data quality issues, and validating statistical assumptions across alpha, beta, and production measurement systems
• Lead code reviews and architecture discussions, providing expert guidance on design patterns, scalability, and technical trade-offs
• Foster a culture of code quality, rigorous measurement, and collaborative problem-solving
• Evaluate and adopt new tools, explore frameworks and innovative model forms that enhance team effectiveness, while maintaining code quality standards
• Lead enterprise-wide data science initiatives spanning 6+ months with measurable business impact across multiple teams and KRs
• Build trusted partnerships with C-suite executives, product managers, and data science leaders to translate business problems into technical solutions while delivering with consistency and transparency
• Present complex technical concepts clearly to both technical and non-technical audiences, including executive leadership
• Deliver high impact presentations on key initiatives and research, with easily understood visualizations, to drive insight and adoption
• Mentor more junior data scientists through technical guidance, code reviews, and strategic coaching
• Create technical training programs and documentation that elevate organizational data science maturity
• Embrace and uphold Ibotta's Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency, & A good idea can come from anywhere

Principal Data Scientist, Causal Inference

Account Manager

• Own a portfolio of Ibotta’s most strategic and complex accounts
• Serve as a strategic advisor for high-value clients
• Drive end-to-end campaign excellence
• Lead the optimization and expansion of active campaigns
• Translate complex performance data into compelling client narratives
• Develop and present high-impact campaign recaps and business reviews
• Foster executive-level relationships across client organizations
• Partner cross-functionally with Client Partners
• Drive proactive whitespace identification and account expansion strategies
• Maintain rigorous client engagement rhythms
• Act as a senior escalation point and solutions leader
• Independently manage forecasting, pipeline health, and performance tracking
• Provide informal mentorship to peers and cross-functional partners

Account Management Director

Analytics Engineer

• Learn to organize and optimize Ibotta’s vast data environment for high-level analysis
• Partner with Decision Scientists to aggregate and normalize datasets
• Work alongside Engineering, Data Engineering, and Decision Science teams
• Assist in identifying, documenting, and testing events-based data
• Develop datasets with data quality principles in mind
• Assist in deploying and maintaining data sets using DataBricks
• Help build automation tools and UI components that make data accessible

Associate Analytics Engineer

Salesforce Developer

• Define and drive the technical architecture for the Salesforce platform across multiple squads, balancing new capability delivery against tech debt reduction
• Establish engineering standards, code review practices, and development patterns that work across a team of varying skill levels including embedded contractors
• Mentor and develop other Salesforce engineers, building team capability rather than concentrating knowledge
• Own cross squad technical decisions for integrations between Salesforce and Ibotta's rewards content, distribution, and billing platforms
• Identify opportunities to apply AI and automation to Salesforce development workflows, and guide the team on when agentic approaches are appropriate vs. traditional ones
• Partner with engineering managers, product managers, and architecture leaders to define and execute the Salesforce platform technical roadmap
• Reduce system complexity in codebases and drive simplification that the whole team can maintain
• Develop new automation and integrations with the Ibotta platform that support business requirements
• Build new user experiences consisting of custom objects, workflows, validations and formulas while adhering to Salesforce best practices
• Implement and troubleshoot integrations between Salesforce and the Ibotta platform that accurately transfers data between multiple systems, including external systems
• Manage and improve the Salesforce DevOps process including efficient deployment processes, expectations for code, and managing sandbox environments using Copado, Git and Jira
• Keep current with new Salesforce features and functionality, providing recommendations for improvements, and teaching others
• Provide high quality, reliable, scalable and high-throughput solutions
• Create and maintain technical documentation on integrations with the platform
• Embrace and uphold Ibotta’s Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency, & A good idea can come from anywhere