Our PlatformWe'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 RoleWe 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 Responsibilities1. Own Scoped Product & Systems Projects End-to-EndDrive execution of internal product initiatives from problem definition through launch - not just coordination, but true ownershipConvert ambiguous requirements into structured specs, user stories, and delivery plansManage timelines, stakeholder inputs, dependencies, and QA to ensure smooth rolloutProactively identify blockers and solve them without waiting to be directed2. Work Closely with Engineering to Ship SolutionsWrite clear, implementable requirements and acceptance criteria that engineering teams can act on immediatelyTranslate business and operational problems into structured technical workflowsSupport backlog grooming, sprint planning, and iterative delivery cyclesBe the connective tissue between product intent and engineering execution3. Evaluate Tools & Drive Buy vs. Build DecisionsResearch and assess software tools across categories - CRM, automation, analytics, outreach, PM tooling, and moreConduct 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 listsBuild structured evaluation frameworks and decision matrices grounded in real implementation constraintsActively 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 recommendationIdentify integration complexity, adoption risks, and scaling considerationsRecommend clearly: buy, build, or improve - with rationale leadership can act on4. 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 platformsDebug workflow issues independently before escalating to DevBuild repeatable, scalable processes that reduce operational drag 5. Communicate Decisions ClearlyDocument your work - specs, research findings, decision rationale - in a way that others can build onWhen needed, structure recommendations into concise decision narratives for leadership Keep documentation lean and actionable; thoroughness over polishBuild strategy decks and research thesis to drive board level decisions & company direction What Success Looks Like (First 90 Days)Independently own and drive 2–4 scoped projects from kickoff to deliveryDeliver 1–2 tool evaluation recommendations per week with clear implementation pathsImplement multiple lightweight workflow improvements without Dev involvementProduce specs and documentation that engineering teams can act on without follow-up calls Become a reliable, low-maintenance execution partner to the Product team Required Skills & QualificationsCore Must-Haves3–5 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-endTrack 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 throughProduct 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 requirementsStrong research and analytical ability: hypothesis-driven evaluation of tools, workflows, and build vs. buy tradeoffs grounded in real implementation constraintsExcellent written communication: specs, documentation, decision summaries that are clear and actionableOwnership mindset - you drive outcomes, not activities Technical ExpectationsYou 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 datasetsWorkflow and system design thinkingDebugging and troubleshooting tool-based workflows independentlyExperience 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 improvementsComfort evaluating AI-native tools (LLMs, workflow copilots, AI automation tools) and understanding practical implementation constraints Nice-to-Haves (Strong Plus)Prior experience in Product, Product Ops, BizOps, RevOps, or early-stage startup operationsExperience working with CRMsFamiliarity 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 testingExposure to writing product specs, user stories, or running sprint workflowsFill out this form to apply:
Job Title
Sr. Product Analyst