Jobs · Engineering · Texas

Product Owner

Bain & Company · Houston, TX · 1 mo ago
HybridEngineering$141k–$154k/yrFull-time

About the role

We are seeking a Product Owner to lead the delivery of a product area on our Private Equity Due Diligence platform. This role requires a deep understanding of private equity workflows and the ability to translate complex business needs into actionable product strategies.

Responsibilities

  • Roadmap, Discovery, and Squad Delivery Leadership (80%)
    • Own the roadmap and backlog for an assigned product area
    • Define outcomes, milestones, and sequencing
    • Lead continuous discovery with stakeholders
    • Write and maintain epics, user stories, and acceptance criteria
    • Define success metrics and instrumentation requirements
    • Partner with Engineering to shape feasible technical approaches
    • Partner with Design to ensure UX quality and accessibility
    • Own release readiness for your scope
    • Drive post-release learning
  • Other (20%)
    • Own squad ceremonies from a product perspective
    • Act as the primary interface for your product area to cross-functional partners
    • Establish and maintain a clear Definition of Done

Requirements

  • Bachelor’s degree in Business, Economics, Engineering, Computer Science, Information Systems, or a related field (or equivalent practical experience)
  • 6+ years of experience in product management, product ownership, business analysis, consulting, or product strategy roles delivering software products in production environments
  • Demonstrated experience owning a backlog and leading cross-functional delivery (Product/Design/Engineering), including prioritisation and dependency management
  • Proven ability to translate ambiguous stakeholder needs into well-scoped epics/stories with measurable outcomes and acceptance criteria
  • Experience using data to inform product decisions: defining KPIs, interpreting dashboards, and driving iteration based on evidence
  • Strong stakeholder management skills; able to communicate trade-offs, progress, and outcomes to senior business leaders
  • Outcome-driven roadmap ownership: sets OKRs/success metrics, sequences work pragmatically, and maintains focus on measurable impact
  • Requirements excellence: produces clear PRDs/stories/acceptance criteria; anticipates edge cases and ensures testability
  • Prioritisation discipline: makes trade-offs explicitly; balances user value, delivery risk, quality, and operational considerations
  • Cross-functional leadership: aligns Engineering, Design, Data Platform, and Platform teams; manages dependencies without surprise work
  • Product analytics: comfortable with KPI design, adoption measurement, and interpreting qualitative and quantitative signals to drive decisions
  • Communication: concise, structured executive updates; clear decision logs; strong facilitation of stakeholder discussions
  • Generative AI and Agentic Systems: Understands the user-facing implications of AI features (non-determinism, latency, context limits, hallucination risk) and bakes constraints into requirements and acceptance criteria
  • Partners with the Agent / AI squad to define evaluation-ready requirements (golden scenarios, quality thresholds, HITL needs) and ensures regression gates exist for changes
  • Uses AI tooling to accelerate PRDs, OKRs, prioritisation drafts, and stakeholder communications; validates accuracy and removes speculation before sharing
  • Safeguards AI features meet safety and data-handling requirements (PII handling, auditability, egress constraints) by coordinating early with Security and Governance
  • Builds for users: deeply understands PE workflows and optimises for real analyst outcomes, not internal convenience
  • Leads with clarity: reduces ambiguity for squads through crisp requirements, priorities, and success metrics
  • Drives follow-through: measures results post-release and iterates based on evidence
  • Uses AI tooling to move faster, but applies judgement and accountability for every decision and artifact shared

Qualifications

  • Experience with Agile methodologies and tools
  • Strong problem-solving and analytical skills
  • Excellent communication and interpersonal skills
  • Ability to work independently and as part of a team
  • Passion for product management and innovation

Skills

  • Product management
  • Agile methodologies
  • Stakeholder management
  • Data analysis
  • AI and machine learning
  • UX/UI design
  • Project management

Benefits

  • Comprehensive benefits package including medical, dental, and vision coverage
  • Generous paid time off
  • Parental leave
  • Sick leave
  • Flexible work schedule
  • Life and long-term disability insurance
  • Annual fitness reimbursement

Pay

The estimated annualized compensation for this role is as follows:

  • In Atlanta: $140,875 - $153,750
  • In Boston: $162,000 - $176,750
  • In Texas: $147,625 - $161,250
  • In Chicago: $155,125 - $169,250

Schedule

This role follows a hybrid model, requiring in-office presence at least 1 day per week.

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