Lead Product Manager, Agent Factory

Junipersquare
Americas USA +1 more
RemoteCareer-pivot friendly

Who this role is best for

Strong fit for AI-fluent product managers who build automated workflows and shape long-term AI strategy, with experience in B2B enterprise SaaS and a preference for in-person collaboration in San Francisco.

Best fit for

  • AI-fluent product managers with a track record of building complex workflows in B2B SaaS
    — “Exceptional talent with AI. You use LLMs, agents and AI tools (e.g. Claude, Cursor) to build prototypes, automations and your own agents”
  • Individuals with a background in fund administration or private markets domain expertise
    — “Start with fund administration: Ship core workflows such as capital calls and fund onboarding with our fund administration team”
  • Candidates comfortable with the ambiguity of building solutions from zero to one in a fast-moving environment
    — “The work is early and the problems are hard, and engineering will look to you to make the call on ambiguous tradeoffs.”

Things to consider

  • In-person collaboration in San Francisco is preferred despite remote flexibility options
    — “This role would benefit from in-person collaboration in San Francisco”
  • The role demands AI fluency over traditional product management experience
    — “AI fluency matters to us more than years of product management experience.”

How to stand out

  • Demonstrate AI fluency with examples of agent-based workflows or automations you've developed
    — “You use LLMs, agents and AI tools (e.g. Claude, Cursor) to build prototypes, automations and your own agents”
  • Showcase experience with workflow orchestration and agentic systems in your resume and interviews
    — “A strong technical thinker who can go deep on workflow orchestration, deterministic versus agentic steps”
  • Highlight your ability to influence teams and set strategic direction in your application materials
    — “A track record of leading through influence and setting strategy that multiple teams execute against.”
  • Emphasize your hands-on experience with building or shipping technically complex product areas
    — “owning a technically complex product area from strategy through execution”
  • Include projects or roles where you worked with managed agent platforms like Claude Managed Agents
    — “Experience with managed agent platforms such as Claude Managed Agents”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Built the agent factory for automated workflows
  • Developed AI strategy and long-term vision
  • Shaped how agentic solutions are brought to market
  • Built internal R&D factory for software development
Typical background
Experience in product managementStrong technical backgroundExperience in private markets or financial services

Skills & requirements

Required

Product ManagementAgile MethodologiesCross-functional CollaborationAI StrategyAutomationWorkflow DesignFund AdministrationPrivate MarketsTechnology IntegrationData-driven Decision MakingStakeholder ManagementProject PlanningRisk AssessmentTechnical UnderstandingBusiness AnalysisUser ResearchPrototypingUser Experience DesignProduct VisionRoadmapping

Preferred

Machine LearningNatural Language ProcessingRoboticsEmbedded SystemsBlockchain

Stack & domain

PythonTypeScriptKubernetesTerraformCi/cd ToolsLeadershipCollaborationProblem-solvingPrivate MarketsAI

About the role

Original posting from Junipersquare via Ashby

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 https://blog.junipersquare.com/juniper-square-ponders-future-of-office-with-digital-first-hybrid-workplace-strategy/ 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

We’re looking for a Lead Product Manager to build our agent factory. You’ll start by turning how fund administration gets done today into automated workflows, where agents, code and people each take the steps they do best, and then quickly extend the factory more broadly into Private Markets.

About 60% of your time goes to the agent factory, starting with core fund administration workflows such as capital calls and fund onboarding. The other 40% goes to partnering with the product executive team on AI strategy and long-term vision, and shaping how we bring agentic solutions to market. You will also play a role in building our internal R&D factory where agents help us design, code, test and deploy our own software.

The work is early and the problems are hard, and engineering will look to you to make the call on ambiguous tradeoffs. AI fluency is a baseline expectation: you should prototype with agents, build your own automations, and use AI to move 10x faster than a traditional PM.

This role would benefit from in-person collaboration in San Francisco, where many of our product management, design, and engineering personnel are based, although we also welcome exceptional candidates from elsewhere in the United States and Canada.

WHAT YOU’LL DO

The agent factory (about 60%)

  • Build the agent factory: Build the factory that turns how private markets work gets done into automated workflows, where agents, code and people each take the steps they do best.
  • Start with fund administration: Ship core workflows such as capital calls and fund onboarding with our fund administration team, and prove the model in production.
  • Extend across private markets: Quickly take the factory beyond fund administration to workflows and users across the private markets.
  • Make each one faster: Turn what every workflow teaches us into reusable building blocks and connectors, so the next one is faster to build than the last.

AI strategy and beyond (about 40%)

  • Shape AI strategy: Partner with the product executive team on AI strategy and long-term vision.
  • Bring agentic solutions to market: Shape how we bring agentic solutions to our customers.
  • Help build the R&D factory: Play a role in building our internal R&D factory, where agents help us design, code, test and deploy our own software.
  • Lead through influence: Set direction across teams and raise the bar for product craft.

QUALIFICATIONS

  • 7+ years of product management experience in B2B or enterprise SaaS, including owning a technically complex product area from strategy through execution.
  • Exceptional talent with AI. You use LLMs, agents and AI tools (e.g. Claude, Cursor) to build prototypes, automations and your own agents, and to move 10x faster than a traditional PM. AI fluency matters to us more than years of product management experience.
  • An entrepreneurial attitude. You’re comfortable taking ambiguous problems from zero to one, and you act like an owner.
  • A strong technical thinker who can go deep on workflow orchestration, deterministic versus agentic steps, connectors, identity and auditability.
  • Exceptional written and verbal communication, and comfort explaining complex technical ideas to engineers, executives and clients.
  • A track record of leading through influence and setting strategy that multiple teams execute against.

Preferred qualifications

  • Former founders strongly preferred.
  • Experience with managed agent platforms such as Claude Managed Agents.

COMPENSATION

Compensation for this position includes a base salary, equity, and a variety of benefits. The U.S. base salary range for this role is $180,000 - $265,000. 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.

#LI-Remote #LI-NY1 #experiencedprofessional #Juniper-US #Juniper-Canada

Source: Junipersquare careers (Ashby)

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