Senior Technical Program Manager, Sprout Social

• You’re an experienced program manager who brings clarity to complexity and builds right-sized systems that keep cross-functional work organized and accountable
• You know how to navigate the org to bring in the right people, surface risks early, and get to the root of problems
• You stay connected to the “why” — understanding goals, strategy, and execution — and help teams stay aligned to it
• If you’re a strategic thinker with a passion for keeping R&D teams organized, and you’re excited to shape what great R&D program management looks like, we’d love to talk to you!
• 4+ years of experience working in software organizations in Engineering, Program Management, or Technical Program Management roles
• Proven track record of leading large-scale, high-impact, cross-functional technical programs
• Experience in high-growth SaaS environments

Desirable

• Reporting to the Chief of Staff & Head of Ops for R&D, and partnering closely with the Senior Manager of Data Science, you’ll embed directly with the Data Science team to establish and refine operational practices
• You’ll be responsible for shaping how the team manages intake, stakeholder requests, and delivery workflows, while introducing frameworks and tools that make collaboration smoother and more transparent
• Partner with Data Science leadership to define, document, and evolve operational processes, including intake, prioritization, stakeholder management, and program tracking
• Build and maintain Jira projects, dashboards, and workflows that provide clarity, accountability, and visibility into ongoing and upcoming work
• Organize and facilitate program planning, reviews, and communication cadences to ensure the Data Science team and its stakeholders remain aligned and well-informed
• Develop frameworks for stakeholder engagement and communication so the right inputs are captured and decisions can be made quickly
• Surface risks, clarify dependencies, and proactively manage blockers across the team’s portfolio of work
• Introduce and refine lightweight, scalable structures that help Data Science operate effectively within the broader R&D organization
• Support adoption and change management for new Data Science tools, processes, and platforms
• Establish operational metrics to track the health and impact of Data Science initiatives
• Within 1 month, you’ll plant your roots, including:
• Completing Sprout Social’s new hire training and onboarding alongside fellow new team members to gain a broad understanding of our products and how your role fits into the organization
• Partnering with your manager and the Senior Manager of Data Science to define success metrics for your role and how you’ll be measured
• Exploring our products to understand what makes our software unique and why customers love it
• Building relationships across data teams, product, engineering, design, and GTM teams
• Within 3 months, you’ll start hitting your stride by:
• Establish a clear understanding of the Data Science team’s objectives, portfolio, and stakeholder landscape
• Stand up initial operational processes and Jira structures to improve intake, prioritization, and visibility
• Begin facilitating team ceremonies and stakeholder updates, driving clarity and momentum in ongoing work
• Identifying opportunities to improve how we collaborate and operate across functions and within Data Science
• Within 6 months, you’ll be making a clear impact through:
• Become the go-to partner for Data Science leadership on operational excellence, intake prioritization, and cross-team alignment
• Roll out frameworks for stakeholder management that improve communication and reduce friction across the org
• Ensure that the team’s work is consistently visible, tracked, and connected to R&D-wide objectives
• Contribute to more predictable planning and delivery cycles for the Data Science team
• Within 12 months, you’ll make this role your own by:
• Act as a thought partner to the Senior Manager of Data Science and R&D Operations leadership, shaping how program management best supports technical research-oriented teams
• Share and scale successful frameworks you’ve developed for Data Science so they can be adopted by other technical groups
• Surprising us — bringing your unique skills, ideas, and energy to strengthen the team in ways we haven’t yet imagined