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United States Digital Space LLC in Boston, MA seeks a Senior Program Manager, R&D Talent Programs to own end-to-end Product/Design talent programs, from strategy to cohort experience, in collaboration with Early Careers and Recruitment.
You will start with our Product internship program and scale future talent initiatives across Design and wider R&D, building headcount plans, timelines, evaluation bars, and intern experiences with leadership oversight.
Location: Boston, MA - Hybrid position
the company creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.
As Senior Program Manager, R&D Talent Programs, you will own the Product/Design talent program end to end—strategy, structure, cohort experience, and stakeholder alignment—serving as the primary point of contact and the planner who builds the cohorts that become the next generation of the company's Product and Design leadership. In this role, you will collaborate closely with the Early Careers team, who manages university partnerships and the talent pipeline, as well as the Recruitment team, who oversees candidate sourcing and requisition management.
Our Product internship program is where you'll start. As that program matures, you will design and build the talent programs that come next—extending to Design and the wider set of programs that develop talent across R&D. This is a role with room to define its own scope over time.
This role is ideal for someone who has built a talent program. You will set strategy alongside Product & Design leadership, then do the work that makes strategy real: securing headcount, establishing timelines, designing an evaluation bar, and creating an intern experience good enough that the best candidates say yes. You will work in close partnership with People Success Partners, Early Careers, Recruitment, Finance, Compensation, and Product/Design leadership.
This role sits within the R&D Operations team at the company - we are on a mission to empower our teams to build great products efficiently, effectively, and at scale. We remove obstacles, foster alignment, and help teams focus on what matters most—solving real problems for our customers. We also play a central role in building the talent pipeline for the future.
At the company, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/the company-benefits.
The base salary range for this role is listed below. The starting salary will be determined based on skills, experience, and geographic location. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions if eligible), equity, and benefits. You can learn more about how we align pay with local labor markets in our Geographic Pay Zone Philosophy.
Zone A
$153,000—$245,000 USD
Zone B
$133,000—$213,000 USD
Zone C
$120,000—$192,000 USD
Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. We ask that you complete interviews and assessments on your own, without real-time AI tools, recording, or transcription bots, unl