Top Tech Jobs & Startup Jobs

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.