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Senior Program Manager

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Remote from
USA, Canada
Salary
USD 150k–190k / yr
Employment
Full Time
Experience
Senior
Published
Apply before
18 Nov 2026
Listing views
41
Application actions
1
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AI Summary

The role, at a glance.

Juniper Square is seeking a senior technical program leader to manage complex, multi-team software initiatives from planning through release. The role bridges engineering, product, design, QA, platform, and operations, with responsibility for dependencies, risks, governance, reporting, and delivery outcomes. A central requirement is designing reusable multi-step AI workflows, including Jira and Confluence automation, prompt libraries, and PMO tools that improve team-wide execution. The successful candidate will also shape PMO standards and mentor program and technical program managers. This is a high-seniority, full-time remote role open to candidates in the United States or Canada.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

5/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThis role requires 15+ years of industry experience, leadership across ambiguous and high-stakes software programs, and ownership of PMO-wide process improvements. It also demands practical expertise designing reliable, reusable AI-enabled workflows and validating their outputs.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate
$170,000
US market range (per year)$155k–$205k
AI insightThe employer explicitly lists a U.S. annual base-salary range of $150,000–$190,000 USD, with a midpoint of $170,000. The estimated U.S. annual market range of $155,000–$205,000 reflects the seniority, technical program scope, PMO leadership expectations, and specialized AI workflow responsibilities of the role.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
Describe a complex multi-team software program you led from planning through release. How did you manage dependencies and delivery risk?

I began by aligning stakeholders on outcomes, scope boundaries, milestones, ownership, and decision rights. I maintained a dependency map and risk register, reviewed both on a regular cadence, and escalated blockers with clear options and impact assessments. This enabled teams to make timely trade-offs while keeping the release plan transparent.

Tell us about a reusable AI workflow you designed for program or project management.

I would describe a workflow that connects structured delivery data, such as Jira issues and Confluence documentation, to generate a draft status report and risk summary. I would define source-of-truth fields, validation rules, review checkpoints, and measurable success criteria before rollout. I would then document the workflow, provide templates, and monitor output quality so other PMs can use it reliably.

How do you ensure AI-assisted program-management outputs are accurate and safe to distribute?

I define what good output looks like before automation, including required data sources, formatting standards, and unacceptable failure modes. I use validation steps such as source links, exception reporting, sampling, and human approval for high-impact communications. Accountability remains with the program owner, so I continuously improve prompts, data quality, and controls when inaccuracies are found.

How would you communicate a major schedule change to senior leadership and cross-functional teams?

I would communicate the change early with a concise view of the cause, customer or business impact, affected milestones, and options for mitigation. I would recommend a path forward, name accountable owners, and clarify the decisions needed from leadership. For delivery teams, I would translate the decision into updated plans, dependencies, and working agreements.

How have you helped improve PMO standards while still supporting teams with different delivery needs?

I establish lightweight common standards for planning, status reporting, risks, and metrics, then allow teams flexibility in implementation where it does not compromise visibility or governance. I gather feedback from practitioners, measure adoption and usefulness, and iteratively refine templates and ceremonies. This creates consistency without imposing unnecessary process overhead.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
Opportunity details

About this role.

About Juniper Square

Private markets are one of the largest, most complex, and most underserved corners of global finance. Our mission at Juniper Square is to unlock their full potential. We’re the Operations Partner trusted by 2,300+ GPs, unifying technology, data, and fund administration services into a single platform that helps GPs move faster, make better decisions, and scale with precision. With $300B+ under administration and 700,000+ LPs on platform, we’ve built the scale to match our ambition. And with JunieAI, our purpose-built AI platform, we’re reimagining how private markets operate, embedding intelligence across every workflow. Founder-led since 2014, backed by $350M+ in funding, and now 1,000+ employees strong, we’re building a company designed to shape the future of private markets for decades to come.

Our culture is built for people who want to do ambitious, meaningful work alongside exceptionally talented teammates. We think like owners, move with urgency, and take pride in solving hard problems that truly matter to our customers and the future of private markets. We believe the best ideas come from open debate, deep collaboration, and diverse perspectives, which is why we believe transparency is the default and feedback makes us stronger. If you’re energized by high standards, rapid growth, and the opportunity to help define a category at a pivotal moment, come join us!

Juniper Square offers employees a variety of ways to work, ranging from a fully remote experience to working full-time in one of our physical offices. We invest heavily in digital-first operations, allowing our teams to collaborate effectively across 27 U.S. states, 2 Canadian Provinces, India, Luxembourg, and England. We also have physical offices in San Francisco, New York City, Mumbai and Bangalore for employees who prefer to work in an office some or all of the time.

About your role

As a Senior Program Manager, PMO, you will own program management for Juniper Square’s most complex, cross-functional software initiatives, driving execution from planning through release while acting as a senior voice inside our Program Management Office (PMO). You will partner closely with engineering, product, design, QA, platform, and operations leadership to build program plans, resolve dependencies, and keep delivery on track against customer commitments. You will act as a bridge between engineering, product management, and other cross-functional partners, translating ambiguous, high-stakes problems into a program plan that accounts for internal and external dependencies.

Beyond your own programs, you will help set the standard for how the PMO runs: contributing to governance, process standardization, metrics, and, critically, how the team uses AI. This role carries a heavy AI focus. You are expected to operate at the Workflow Orchestrator level on Juniper Square’s AI fluency ladder. That means you do not just use AI tools yourself; you design and deploy multi-step workflows that span multiple tools or data sources and replace manual coordination, and you build the reusable systems (prompt libraries, Cowork skills and plugins, scripted Jira/Confluence data extraction) that other program and technical program managers across the org rely on. You will be looked to as the AI thought leader for the PMO organization, actively raising the AI fluency floor for the team.

What you’ll do

  • Own program management for Juniper Square’s most complex, multi-team software initiatives, partnering with engineering, product, design, QA, platform, and operations to build program plans, resolve cross-functional dependencies, and drive execution through every stage of the software development lifecycle.

  • Act as a senior bridge between engineering and product management, translating ambiguous, cross-functional problems into a concrete program plan with clear milestones, owners, and dependencies, including with third-party teams where relevant.

  • Establish and evolve the execution framework (agile/scrum ceremonies, artifacts, governance cadence) for your programs, and contribute those improvements back into PMO-wide standards and processes.

  • Provide regular, senior-leadership-ready status reporting; proactively identify, monitor, and mitigate risk; apply change management discipline when scope or timelines shift.

  • Contribute to PMO governance, including metrics definitions, process standardization, and adherence tracking, across the broader program management team.

  • Design and deploy multi-step, AI-powered workflows, such as Cowork skills and plugins and scripted Jira/Confluence extraction and analysis, that replace manual PMO coordination, built as systems other PMs and TPMs can reuse rather than one-off personal shortcuts.

  • Maintain a working library of reusable prompts, templates, and automations for high-frequency PMO work (status reporting, metrics dashboards, roadmap artifacts) and proactively share them across the team.

  • Serve as an AI thought leader for the PMO org: define what “good” looks like before automating a workflow, build in validation steps, and own the accuracy of anything you ship. You can delegate the work, never the accountability.

  • Mentor and coach TPMs and PMs on day-to-day program management practice, PMO goals, and their own AI fluency; contribute to roadmap planning and help anticipate delivery challenges across the organization.

  • Ensure program documentation, status reporting, and delivery metrics are maintained on a regular, reliable cadence.

Qualifications

  • Bachelor’s degree in Computer Science or equivalent practical experience.

  • 15+ years of total industry experience, including 8+ years of technical program management on complex, large programs spanning multiple cross-functional teams.

  • Deep understanding of the product development lifecycle and technical program management at scale, with a track record of driving programs from concept through release across multiple teams.

  • Demonstrated AI fluency at the Workflow Orchestrator level: you have designed and deployed at least one multi-step AI or Cowork workflow spanning multiple tools or data sources, with a measurable time or quality improvement you can speak to specifically. Not just personal, ad hoc prompting.

  • Comfortable maintaining a working library of reusable prompts, skills, or workflow templates, and configuring Cowork skills, connectors, and plugins without needing engineering support.

  • Hands-on experience automating program-management workflows with AI, for example scripting or using AI tools to extract and analyze data from Jira and Confluence, generate status reports, or build reusable prompt libraries and templates that others rely on.

  • Comfort defining quality criteria before deploying AI-assisted workflows, validating outputs, and owning the accuracy of anything you automate.

  • Experience with project management tooling (Atlassian suite, Microsoft Project, Smartsheet, or equivalent) and Agile/Scrum; working familiarity with SAFe.

  • Experience partnering cross-functionally with product management, design and UX, customer success, customer support, and other functions such as sales, marketing, and legal as needed.

  • Experience with program and project governance: budgeting, vendor management, compliance, and metrics.

  • Professional credentials (PMI PMP, ACP, CSM) a plus.

  • Experience with fintech platforms, cloud platforms (AWS), Docker, and Kubernetes a plus.

  • Self-driven and adaptable, comfortable mentoring peers, and flexible working with counterparts across geographies and time zones.

Compensation

Compensation for this position includes a base salary and equity, and a variety of benefits. The U.S. base salary range for this role is $150,000 to $190,000 USD. The Canadian base salary range for this role is $120,000 to $150,000 CAD. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable.

Benefits include:

  • Health, dental, and vision care for you and your family

  • Life insurance

  • Mental wellness coverage

  • Fertility and growing family support

  • Flex Time Off in addition to company-paid holidays

  • Paid family leave, medical leave, and bereavement leave policies

  • Retirement saving plans

  • Allowance to customize your work and technology setup at home

  • Annual professional development stipend

Your recruiter can provide additional details about compensation and benefits.

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