Product Owner

Product Owner for Bain & Company's PEG PE due diligence platform translates stakeholder needs into an executable roadmap and backlog, defines success metrics, and ships capabilities that improve PE analyst workflows.

Responsibilities

• Own and maintain the roadmap and backlog for the assigned product area (Deal Screening, Due Diligence workflows, Portfolio Monitoring, Report Builder); define outcomes, milestones, and sequencing.
• Lead continuous discovery with analysts, associates, and partners to surface high-value problems, validate hypotheses, and translate insights into delivery work.
• Draft and uphold epics, user stories, and acceptance criteria to enable autonomous squad delivery; ensure work is testable, measurable, and aligned to user outcomes.
• Define success metrics and instrumentation requirements; ensure releases have baselines and post-release measurement plans.
• Make prioritisation trade-offs across scope, quality, risk, and time; keep the squad focused on the highest-impact outcomes.
• Collaborate with Engineering to shape feasible technical approaches and manage dependencies (platform services, data contracts, AI service integration).
• Partner with Design to ensure UX quality, accessibility, and edge-case handling are addressed early; align on iterative delivery plans.
• Own release readiness for your scope: stakeholder communications, enablement/training materials, change notes, and rollout strategy.
• Drive post-release learning: analyse adoption and performance, conduct outcome reviews, and iterate based on evidence.
• Manage squad ceremonies from a product perspective: refinement, planning input, review facilitation, and outcome-focused retrospectives.
• Act as the primary interface for your product area to cross-functional partners (Security, Data Governance, Platform Engineering, Data Platform, Agent / AI); align on requirements and constraints early.
• Establish and maintain a clear Definition of Done for product outcomes with Engineering and QA (quality, observability, documentation, operational readiness).
• Leverage AI tooling to accelerate PRD drafting, stakeholder synthesis, and prioritisation artifacts; apply editorial judgement and validate facts before sharing.
• Support hiring, interviewing, and mentoring of Product Analysts/Associate PMs where applicable; raise product practice standards through coaching and feedback.

Requirements

• Bachelor's degree in Business, Economics, Engineering, Computer Science, Information Systems, or related field (or equivalent practical experience).
• Minimum 6 years of experience in product management, product ownership, business analysis, consulting, or product strategy delivering software in production environments.
• Proven experience owning a backlog and leading cross-functional delivery (Product/Design/Engineering), including prioritisation and dependency management.
• Ability to translate ambiguous stakeholder needs into well-scoped epics/stories with measurable outcomes and acceptance criteria.
• Data-informed decision making: defining KPIs, interpreting dashboards, and driving iteration based on evidence.
• Strong stakeholder management: communicate trade-offs, progress, and outcomes to senior leaders.
• Outcome-driven roadmap ownership: set OKRs/success metrics, sequence work pragmatically, and focus on measurable impact.
• Requirements excellence: produce clear PRDs/stories/acceptance criteria; anticipate edge cases and ensure testability.
• Prioritisation discipline: explicit trade-offs, balancing user value, delivery risk, quality, and operational considerations.
• Cross-functional leadership: align Engineering, Design, Data Platform, and Platform teams; manage dependencies without surprise work.
• Product analytics: comfortable with KPI design, adoption measurement, and interpreting qualitative and quantitative signals.
• Communication: concise, structured updates for executives; clear decision logs; effective facilitation of stakeholder discussions.
• Understanding AI feature implications (non-determinism, latency, context limits, hallucination risk) and embedding constraints in requirements and acceptance criteria.
• Collaborates with the Agent / AI squad to define evaluation-ready requirements and ensures regression gates for changes.
• Uses AI tooling to accelerate PRDs, OKRs, prioritisation drafts, and stakeholder communications; verifies accuracy and removes speculation.
• Ensures AI features meet safety and data-handling requirements (PII handling, auditability, egress constraints) by coordinating with Security and Governance early.
• Builds for users by deeply understanding PE workflows and optimising for real analyst outcomes, not internal convenience.
• Leads with clarity, reducing ambiguity for squads through crisp requirements, priorities, and success metrics.
• Drives follow-through by measuring results post-release and iterating based on evidence.
• Uses AI tooling to move faster while exercising judgement and accountability for every decision and artifact shared.
• This role requires a hybrid work model with in-office presence at least one day per week in Atlanta, GA.

Benefits

• 401(k) plan with an annual employer contribution based on years of service
• 4.5% 401(k) company contribution, increasing after three years and 100% vested on start date
• Bain covers 100% of individual premiums for medical, dental, and vision
• Generous paid time off including parental leave, sick leave, and holidays
• Fully vested 401(k) company contribution
• Paid Life and Long-Term Disability insurance
• Annual fitness reimbursements
• Wellness program
• Annual discretionary performance bonus

Compensation

• Base salary in Atlanta: $140,875 - $153,750 per year, with discretionary annual performance bonus
• Overall range posted: $140,875 - $176,750 per year, depending on location and experience
• Full benefits package includes health, dental, vision premiums paid by Bain, 401(k) with employer contributions, and other programs listed above