Join Bain PEG Innovation in Houston, TX on a hybrid schedule to lead the PE due diligence platform as a product owner. You will translate stakeholder needs into a practical roadmap and backlog, define success metrics, and partner with Engineering and Design to deliver high quality capabilities. The role carries a base salary of USD 140,875 to 176,750 per year, plus a discretionary annual performance bonus and a comprehensive benefits package. This role follows a hybrid model with in-office presence required at least one day per week.
Responsibilities
- Own the roadmap and backlog for an assigned product area such as Deal Screening, Due Diligence workflows, Portfolio Monitoring, or Report Builder; define outcomes, milestones, and sequencing.
- Lead continuous discovery with stakeholders including analysts, associates, and partners to identify high value problems, validate hypotheses, and translate insights into delivery work.
- Write and maintain epics, user stories, and acceptance criteria that enable autonomous squad delivery; ensure work is testable, measurable, and aligned to user outcomes.
- Define success metrics and instrumentation requirements for features; ensure releases have clear baselines and post release measurement plans.
- Make prioritisation trade-offs across scope, quality, risk, and time to keep the squad focused on the highest impact outcomes.
- Partner with Engineering to shape feasible technical approaches and manage dependencies including platform services, data contracts, and AI service integration.
- Collaborate 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, including stakeholder communications, enablement materials, change notes, and rollout strategy.
- Drive post release learning by analysing adoption and performance, conducting outcome reviews, and iterating based on evidence.
- Lead squad ceremonies from a product perspective, including refinement, planning input, review facilitation, and outcome-focused retrospectives.
- Act as the primary interface for your product area with cross functional partners such as Security, Data Governance, Platform Engineering, Data Platform, and the Agent / AI squad; align on requirements early.
- Establish and maintain a clear Definition of Done for product outcomes with Engineering and QA, covering quality, observability, documentation, and operational readiness.
- Use AI tooling to accelerate PRD drafting, stakeholder synthesis, and prioritisation artifacts, applying editoral judgement and validating facts before sharing.
- Support hiring, interviewing, and mentoring of Product Analysts or Associate PMs as applicable, elevating product practice through coaching and feedback.
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 delivering software in production environments.
- Proven ability to own a backlog and lead cross functional delivery (Product, Design, Engineering) with prioritisation and dependency management.
- Demonstrated skill in translating ambiguous stakeholder needs into well-scoped epics and stories with measurable outcomes and acceptance criteria.
- Experience using data to inform product decisions, including defining KPIs, interpreting dashboards, and iterating based on evidence.
- Strong stakeholder management abilities; able to communicate trade-offs, progress, and outcomes to senior leaders.
- Outcome-driven roadmap ownership with ability to set OKRs, sequence work pragmatically, and maintain focus on measurable impact.
- Excellence in requirements: clear PRDs, stories, acceptance criteria, and anticipation of edge cases to ensure testability.
- Effective prioritisation discipline that explicitly balances user value, delivery risk, quality, and operational considerations.
- Cross-functional leadership: aligns Engineering, Design, Data Platform, and Platform teams while managing dependencies without surprise work.
- Product analytics proficiency: KPI design, adoption measurement, and interpreting qualitative and quantitative signals for decisions.
- Strong communication skills: concise executive updates, clear decision logs, and facilitation of stakeholder discussions.
- Understanding of user facing implications of AI features, including non-determinism, latency, context limits, and hallucination risk; bake constraints into requirements and acceptance criteria.
- Partnership with the Agent / AI squad to define evaluation-ready requirements and ensure regression gates for changes.
- Experience using AI tooling to accelerate PRDs, OKRs, prioritisation drafts, and stakeholder communications; validate accuracy and remove speculation.
- Ensure AI features meet safety and data handling requirements (PII, auditability, egress constraints) by coordinating with Security and Governance early.
- Deeply understand PE workflows and design for real analyst outcomes, not internal convenience.
- Clarity in leadership: reduce ambiguity for squads through crisp requirements, priorities, and success metrics.
- Follow-through mindset: measure results post release and iterate based on evidence.
- Ability to move quickly with AI tooling while maintaining accountability for decisions and artifacts shared.
- This role is hybrid, requiring in-office presence at least one day per week.
Benefits
- Discretionary annual performance bonus
- 401(k) plan with employer contribution (4.5% initially; increases after 3 years; 100% vesting at start for the 4.5% contribution)
- Fully vested 401(k) company contribution
- Medical, dental, and vision insurance with Bain paying 100% of premiums
- Generous paid time off including parental leave, sick leave, and paid holidays
- Paid Life and Long-Term Disability insurance
- Annual fitness reimbursements
What makes us a great place to work
We are consistently recognized as one of the world’s best places to work. Bain is the top ranked consulting firm on Glassdoor’s Best Places to Work list and has earned the #1 overall spot a record seven times.
Who you'll work with
As the premier consulting partner for the private equity industry, Bain's PEG practice is global and significantly larger than competitors. A network of over 1,000 professionals supports private equity and institutional investor clients across deal generation, due diligence, portfolio value creation, and exit planning. The PEG Innovation team builds analytical solutions using proprietary data and software to revolutionize investment insights and decision making.
Where you'll fit within the team
Product Owners are responsible for delivery outcomes within a PE due diligence product area. You convert stakeholder needs into an executable roadmap and backlog, define success metrics, and ensure the squad ships high quality capabilities that improve PE analyst workflows. You lead discovery and prioritize ruthlessly while partnering with Engineering and Design to deliver iteratively, often with shared services from Platform Engineering, Data Platform, and the Agent / AI squad.
Compensation information
Base salary ranges from USD 140,875 to 176,750 per year, with a discretionary annual performance bonus. Benefits include a 401(k) plan with employer contribution, fully vested company contributions, and premium coverage for medical, dental, and vision insurance. The role is hybrid, with in-office presence required at least one day per week. Compensation details vary by location within the U.S. and are determined based on experience, education, and skill level.
