Product Manager

About This Opportunity

As a Product Manager, you will be responsible for working with the client base of Orion to support the development roadmap and rollout execution of their respective product(s). This position will drive the strategic and tactical development of advisor‑facing products and services. You will work with internal SMEs and stakeholders to identify opportunities, risks, and efficiencies to further develop the product offering.

As we continue to evolve and live our Orion values, we are looking for someone to grow with us.

Candidates must work in‑office at one of the following locations for at least 3 days per week:
Omaha, NE.

All internal employees, regardless of their current work arrangement (remote or in‑office), are encouraged to apply.

• Own and maintain the product roadmap for your assigned product area(s), aligned to business goals and customer needs.
• Define, validate, and refine the product vision and strategy in partnership with leadership, design, engineering, and key stakeholders.
• Set and track clear success metrics (OKRs/KPIs) to measure product performance and business impact.
• Conduct ongoing user research, client interviews, usability testing, and data analysis to identify pain points and opportunities.
• Prioritize solving customer problems and delivering measurable value, not just feature delivery.
• Champion a hypothesis‑driven and experimentation mindset in product development.
• Translate insights into clear, detailed user stories, requirements, acceptance criteria, and prototypes.
• Prioritize and manage the product backlog, balancing new features, technical debt, and bug fixes using data‑informed prioritization frameworks.
• Partner closely with engineering, design, and QA to plan, execute, and deliver high‑quality releases in an Agile environment.
• Validate releases post‑launch through adoption metrics, user feedback, and performance data.
• Act as the primary product expert internally and externally, educating teams on product capabilities, positioning, and roadmap.
• Collaborate with Marketing, Sales, and Service teams to support go‑to‑market activities, product messaging, and client education.
• Build trusted relationships with clients, gathering feedback and representing their voice in product decisions.
• Support revenue growth by assisting Business Development and Sales teams with strategic client opportunities.
• Stay informed on industry trends, competitive landscape, technology advancements, and regulatory changes impacting your product area.
• Advocate for user experience consistency, working closely with UX teams to enhance product usability and accessibility.
• Identify, track, and mitigate product risks proactively.

• Has strong understanding of product lifecycle management, road mapping, and prioritization frameworks (e.g., RICE, MoSCoW).
• Defines and tracks customer‑centric product KPIs.
• Has excellent skills in storytelling, communication, and stakeholder management.
• Balances technical understanding with business and user needs.
• Is proficient with data‑driven decision‑making using analytics tools (e.g., Tableau, Power BI, Fullstory, Looker, Google Analytics).
• Has familiarity with Salesforce and project tracking tools (e.g., Jira, Aha!) preferred.
• Has prior experience delivering products in an Agile development environment.
• Has proven success owning and growing a customer‑facing product or feature set.
• Has experience shipping AI/ML‑powered products (e.g., LLM‑enabled features, recommendation systems, classifiers, workflow automation), including full lifecycle ownership from ideation through delivery and iteration.
• Has strong understanding of LLM capabilities and constraints, including hallucination risk, context‑window tradeoffs, latency and inference cost models, prompt‑engineering patterns, retrieval‑augmented generation (RAG), and agentic workflows.
• Has ability to translate ambiguous AI opportunities into clear product use cases with measurable business outcomes, KPIs, and prioritization logic.
• Is proficient at working with model evaluation frameworks, including defining evaluation datasets,…