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Own the full enterprise SaaS sales cycle, from prospecting through executive negotiations and close, while expanding existing accounts. Build pipeline, manage forecasts, develop executive relationships, and partner with Product, Marketing, Customer Success, and Leadership to refine go-to-market strategy. Contribute to sales enablement, account strategy, sales methodology, and the growth of a scalable commercial organization.

Leads product operations and launch execution across Vertafore. Manages cross-functional release planning, go-to-market coordination, readiness, task tracking, risk mitigation, communications, milestone and KPI monitoring, leadership reporting, and continuous process improvement. Partners with Product, Marketing, Sales, Support, and Operations to deliver timely, high-impact SaaS product releases and scalable operating processes.

Manage a portfolio of accounting and bookkeeping partners to drive retention, platform adoption, revenue growth, and subscription expansion. Conduct business reviews, create success plans, identify churn risks, and position Xero capabilities including payroll, bill pay, analytics, and AI tools. Use Salesforce CRM for account health, forecasting, and pipeline management while collaborating with consultants, sales operations, marketing, finance, and customer experience teams.

Own Core IT business operations, including SaaS budgets, licensing, vendor management, hardware procurement, inventory, logistics, and renewals. Lead a small team, build operational processes and reporting, optimize spend, manage enterprise contracts, and partner with IT, Finance, Sales, and R&D leadership. The role also oversees multi-region hardware operations and supports the development of a scalable Business Operations function.

Lead design and build of ETL pipelines and Gold Layer tables in Databricks; develop semantic layers, data dictionaries, and AI-ready documentation; create dashboards and ad-hoc analyses to surface marketing and sales KPIs; partner with stakeholders to translate requirements into analytics-ready datasets and enable self-serve BI and agentic AI workflows.

Handle calls and emails from agency offices, accounts, and policyholders. Explain billing statements, assist users with the online billing system, research account issues, resolve complex billing questions, and support business owners and bookkeepers with invoices. Provide timely, high-quality customer service, manage stressful interactions, participate in phone rotation, and work independently in a remote environment.

Calculates, adjusts, audits, and processes sales commissions for agents. Maintains commission databases and records, investigates payout disputes, reconciles discrepancies, answers commission and 1099 questions, supports recurring commission processes, and recommends process improvements while ensuring accurate and timely payments.

Own reliability, scalability, security, observability, and incident response for production applications across AWS and on-premises DoD environments. Build monitoring and alerting, define SLIs and SLOs, lead post-incident reviews, automate infrastructure with Terraform and Ansible, operate Kubernetes clusters, embed RMF and STIG controls, reduce operational toil, and support secure air-gapped deployments.

Lead DigitalOcean’s AI security strategy, governance framework, and multi-year roadmap. Secure AI/ML systems across data ingestion, training, model serving, RAG, agents, and monitoring. Conduct threat modeling, adversarial testing, AI red teaming, and security reviews; develop guardrails and automation with engineering teams. Advise executives and the board on AI risk, define organizational controls, and guide responses to emerging threats including prompt injection, model supply-chain risks, and AI-enabled social engineering.

Own strategic affiliate and publisher partnerships across credit cards, home lending, and deposits. Responsibilities include sourcing and onboarding partners, negotiating commissions and placements, managing performance and ROI, leading quarterly business reviews, coordinating cross-functional campaign execution, testing new formats, and improving partnership processes.

Own strategic affiliate and publisher partnerships across credit cards, home lending, and deposits. Responsibilities include partner management, business development, deal negotiation, performance and ROI tracking, quarterly business reviews, campaign execution, testing, process improvement, and managing a team of Partnership Managers. Requires 3–5 years of affiliate or publisher partnership experience, strong negotiation and analytical skills, platform fluency, and stakeholder management.

Develops statistical and machine learning models, analyzes complex datasets, builds trustworthy data assets, and generates insights that support business growth and customer behavior analysis. The role collaborates with stakeholders, data engineers, and architects; leads high-impact projects; informs experimental design; optimizes model performance; and mentors colleagues in data science and machine learning.

Build and govern Ibotta’s foundational data platform using Python, SQL, Terraform, Databricks, AWS, and Spark. Develop infrastructure provisioning, access controls, governance automation, self-service tooling, and scalable data pipelines. Support reliability through incident resolution, root cause analysis, on-call participation, and platform improvements. The role requires three years of software or data engineering experience and is hybrid in Denver.

Full-time summer intern supporting secure data sharing, multi-cloud infrastructure, Terraform automation, AWS and Databricks platforms, and Unity Catalog governance. The role involves collaborating with platform engineers, security teams, and domain teams while developing practical experience with distributed systems, cloud technologies, and reusable automation.

Design, develop, deploy, and support AI solutions including generative AI applications, agents, workflow automation, document intelligence, and retrieval-augmented generation. Partner with business and IT teams to identify use cases, integrate enterprise platforms and data sources, establish prompt and evaluation standards, support AI governance and security, monitor solution performance, and train employees on responsible AI adoption.