Our Platform We're a thematic holding company backed by the Pritzker Organization focused exclusively on acquiring and scaling category-defining software businesses. Our structure organizes investments into focused portfolios that function as specialized operating groups, each developing deep domain expertise, proven operational playbooks and long-term partnerships with founders and management teams.We combine operational rigor with a permanent capital backing and a growth equity mindset - partnering closely with leadership teams to drive sustainable ARR growth, profitability improvements and industry-leading customer outcomes.About the Role We are looking for a product-minded executor who thrives at the intersection of product thinking, systems design, and hands-on delivery. It's about owning problems end-to-end, working directly with engineering, and shipping real solutions that make our internal operations significantly better.You will take on scoped product initiatives, identify and evaluate tools that solve real problems, design workflows that reduce friction, and work closely with the Dev team to get things built and shipped. We are looking for someone with a sharp product instinct, a bias for action, and the technical fluency to bridge business problems and engineering solutions.Key Responsibilities 1. Own Scoped Product & Systems Projects End-to-End Drive execution of internal product initiatives from problem definition through launch - not just coordination, but true ownership Convert ambiguous requirements into structured specs, user stories, and delivery plans Manage timelines, stakeholder inputs, dependencies, and QA to ensure smooth rollout Proactively identify blockers and solve them without waiting to be directed 2. Work Closely with Engineering to Ship Solutions Write clear, implementable requirements and acceptance criteria that engineering teams can act on immediately Translate business and operational problems into structured technical workflows Support backlog grooming, sprint planning, and iterative delivery cycles Be the connective tissue between product intent and engineering execution 3. Evaluate Tools & Drive Buy vs. Build Decisions Research and assess software tools across categories - CRM, automation, analytics, outreach, PM tooling, and more Conduct structured market mapping and competitor benchmarking to identify product gaps, whitespace opportunities, and differentiation angles beyond feature comparison. Go beyond surface-level comparisons - dig into user reviews, implementation case studies, community forums, and vendor documentation to build evaluations grounded in real-world usage, not just feature lists Build structured evaluation frameworks and decision matrices grounded in real implementation constraints Actively track the evolving AI and automation tooling landscape - understand where AI-native tools are replacing traditional software, and factor that into every buy vs. build recommendation Identify integration complexity, adoption risks, and scaling considerations Recommend clearly: buy, build, or improve - with rationale leadership can act on 4. Build Lightweight Automations & Workflow Improvements Identify and eliminate manual effort through smart tooling and automation (Zapier, Make, n8n, webhooks) Configure and optimize existing tools - CRM, task management, outreach, internal platforms Debug workflow issues independently before escalating to Dev Build repeatable, scalable processes that reduce operational drag5. Communicate Decisions Clearly Document your work - specs, research findings, decision rationale - in a way that others can build on When needed, structure recommendations into concise decision narratives for leadership Keep documentation lean and actionable; thoroughness over polish Build strategy decks and research thesis to drive board level decisions & company directionWhat Success Looks Like (First 90 Days) Independently own and drive 2–4 scoped projects from kickoff to delivery Deliver 1–2 tool evaluation recommendations per week with clear implementation paths Implement multiple lightweight workflow improvements without Dev involvement Produce specs and documentation that engineering teams can act on without follow-up calls Become a reliable, low-maintenance execution partner to the Product teamRequired Skills & Qualifications Core Must-Haves 3–5 years of hands-on experience owning product or systems projects, ideally in a startup or high-growth environment Demonstrated ability to own and ship product or systems projects end-to-end Track record of driving measurable impact — not just delivering outputs (e.g., efficiency gains, conversion improvements, revenue enablement, or cost reduction) Strong project execution: breaking down tasks, tracking progress, managing dependencies, following through Product thinking: ability to frame problems, define scope, prioritize, and use structured prioritization frameworks (e.g., impact-effort, MoSCoW, or equivalent) Comfort working directly with engineers - understanding technical constraints, writing clear requirements Strong research and analytical ability: hypothesis-driven evaluation of tools, workflows, and build vs. buy tradeoffs grounded in real implementation constraints Excellent written communication: specs, documentation, decision summaries that are clear and actionable Ownership mindset - you drive outcomes, not activitiesTechnical Expectations You must be comfortable with at least several of the following: APIs, webhooks, and tool integrations - conceptually and hands-on Automation tooling: Zapier, Make, or n8n Strong working knowledge of SQL for structured analysis (joins, aggregations, CTEs, window functions, etc.) and ability to extract actionable insights from raw datasets Workflow and system design thinking Debugging and troubleshooting tool-based workflows independently Experience building dashboards to monitor funnels, KPIs, and performance metrics. Experience analyzing end-to-end funnels (lead → conversion → retention) to identify drop-offs, bottlenecks, and optimization opportunities through structured data analysis. Experience designing metrics frameworks and instrumentation to measure workflow or product performance post-launch. Familiarity with experimentation frameworks (A/B testing, cohort analysis, performance attribution) and translating findings into product or workflow improvements Comfort evaluating AI-native tools (LLMs, workflow copilots, AI automation tools) and understanding practical implementation constraintsNice-to-Haves (Strong Plus) Prior experience in Product, Product Ops, BizOps, RevOps, or early-stage startup operations Experience working with CRMs Familiarity with modern product and ops tool stacks (Front, Asana, Notion, outreach platforms, etc.) Experience building decision-oriented dashboards that translate raw data into clear operational or product insights (Metabase, Looker, Sheets, or Tableau) Comfort with light scripting - Python or JS basics, or Postman API testing Exposure to writing product specs, user stories, or running sprint workflowsFill out this form to apply:
Job Title
Sr. Product Analyst