Jobs at Ibotta

Manage cross-functional software engineering squads, partnering with Product Management to prioritize work, plan milestones, develop technical rollouts, and deliver solutions. Mentor and coach engineers, build technical roadmaps, support staffing and team culture, monitor progress, and make engineering decisions. The role also requires guiding responsible AI adoption in software development, adapting agile processes, and contributing directly to engineering-driven product initiatives.

Own endpoint and device management for Mac and Windows fleets using Jamf Pro and Microsoft Intune. Build zero-touch provisioning, patching, compliance, security baselines, application packaging, lifecycle workflows, and automation scripts. Partner with IT, Security, and Identity teams on device access and monitoring. Provide Tier 3 incident support, maintain Git-based infrastructure automation, document runbooks, and improve delegated support processes across a distributed enterprise fleet.

Leads HR strategy for the Technology organization, partnering with the CTO and senior leaders on workforce planning, talent management, compensation, organizational design, change management, and succession planning. Develops direct reports into strategic HR partners and supports executive decision-making through people analytics and organizational insights.

Own procurement strategy, savings targets, vendor relationships, negotiations, procurement process improvements, reporting, and cost reduction initiatives. Lead the Procurement Committee and collaborate with cross-functional leaders. Spend 20–30% of the role supporting FP&A activities, including budgeting, forecasting, and variance analysis. The position is hybrid in Denver and requires candidates to live in the United States.

Leads and develops an Account Management team responsible for campaign performance, client reporting, gross profit growth, optimization, and incremental spend. Coaches employees, improves processes, supports complex sales cycles, and collaborates with analytics, product, marketing, and operations. The role also drives cross-functional initiatives, go-to-market best practices, forecasting, strategic decision-making, and a high-performance culture. Travel is required up to 20%.

Own the strategy and roadmap for Ibotta’s product data foundation, including catalog management, automated enrichment, identity resolution, search, and recommendations. Partner with Engineering, Analytics, Decision Science, and product teams to improve data accuracy, coverage, integrity, and usability. Define metrics, guide platform adoption, balance automation with human review, communicate trade-offs to leadership, and build AI-powered workflows supporting product data operations.

Lead the technical direction, architecture, integrations, deployment practices, testing, reliability, and performance of Ibotta’s Salesforce platform. Partner with product, engineering, architecture, and revenue stakeholders to shape the roadmap, simplify inherited systems, establish engineering standards, and mentor Salesforce engineers. The role requires deep Salesforce expertise, Apex and Lightning Web Components experience, backend development knowledge, event-driven integrations, CPQ, and strong technical communication.

The Customer Experience Analyst supports Customer Operations by administering tools such as Zendesk, identifying process improvements, coordinating cross-functional projects, translating stakeholder needs, documenting processes, and applying AI and automation to reduce manual work. The role also analyzes data, supports ambiguous initiatives, represents the Customer Experience team, and manages shifting priorities in a hybrid Denver environment.

Lead Sales Operations, Sales Tooling, Pricing & Deal Management to drive forecasting, territory design, compensation, CRM (Salesforce) improvements, and cross-functional GTM alignment. Build and scale a high-performing team, support Revenue Finance on pricing, and provide executive reporting and insights to optimize sales productivity and revenue outcomes.

Embed with Revenue leadership to identify high-value questions, build scalable analyses, models, and visualizations, and use AI agents and LLM tooling to accelerate insight delivery. Advise data teams on models, metrics, and semantic layers; validate AI-assisted outputs; communicate recommendations to technical and executive audiences; and develop reusable tooling and documentation.

Manage campaign and advertising product setup, quality assurance, launches, troubleshooting, and workflow optimization. Collaborate with Engineering, Product, and other departments to resolve technical issues and improve processes. Support internal customers, training, app testing, resource maintenance, and business-critical on-call coverage, including nights and weekends.

Develop and execute go-to-market plans for campaign-platform capabilities, translating product functionality into positioning, messaging, sales enablement, training, and adoption programs. Partner with Product, Sales, and Sales Enablement to launch capabilities, understand campaign personas, gather feedback, track adoption and performance, and improve commercial impact. Support emerging initiatives involving AI-assisted campaign planning, automation, and new campaign experiences.

Supports business development partnerships by preparing client materials, analyzing performance, managing inbound inquiries, conducting outbound prospecting, organizing partner information, researching competitors, and coordinating events and projects. The role helps generate incremental revenue and serves as a subject matter expert on outreach efforts while managing administrative and scheduling responsibilities.

Leads multiple engineering teams and managers, defining technical strategy, improving stability and quality, and ensuring predictable delivery. Partners with Product, Architecture, business stakeholders, and external partners to prioritize solutions, manage technical debt, and support organizational growth. Develops engineering talent and standards while advancing cloud, DevOps, event-driven architecture, reliability, security, and AI-driven automation initiatives.

Manage client campaigns end-to-end to maximize ROI and drive incremental revenue. Serve as primary client contact, optimize performance, deliver data-driven insights and recaps, pursue upsells/renewals, onboard and train clients, and support account growth while traveling up to 40%.

Own the revenue tracking and data product roadmap, including Salesforce CPQ and revenue systems operations. Lead development of a revenue systems data mart, establish data governance and definitions, replace spreadsheet-based administration with governed tooling, and coordinate backlog delivery across RevOps, Finance, Data Engineering, Analytics, and Sales. Manage operational rhythms, issue triage, system maintenance, documentation, and quote-to-cash workflows while balancing interim solutions with long-term platform improvements.

Design and maintain production data pipelines and infrastructure (Databricks, Airflow), ensure data quality and governance, build rollups and consumable datasets, implement CI/CD and automated testing, create and maintain Looker dashboards, mentor team members, collaborate cross-functionally, and integrate AI tooling to enable self-service analytics and data-driven product decisions.

Manage cross-functional planning and execution of brand, demand-generation campaigns and events. Improve project systems and processes, use approved AI tools, lead meetings, track risks, deliver stakeholder updates, and run retrospectives to optimize workflows.

Manage client campaigns from kickoff through wrap-up, monitor performance, surface insights, support reporting and optimization, coordinate cross-functional teams, identify upsell opportunities, and maintain strong client relationships. Support onboarding, trainings, and occasional travel (up to 20%).

Lead and deliver complex, cross-functional implementation projects for grocery retail, commerce, and advertising partners. Scope work, plan and execute initiatives, set KPIs, manage stakeholders, facilitate workshops, mentor team members, and continuously improve PMO practices using data-driven problem solving and project reviews.