Staff Product Manager

ORION•Omaha, NE

2d•Hybrid

About The Position

The Staff Product Manager is Orion's most senior individual contributor track in product. This is a player-coach role: a Staff PM raises the bar through their own craft — shipping the hardest problems themselves, modeling AI-native product development, and actively mentoring a small group of peer PMs — without carrying direct reports. Staff PMs sit directly under a GM, signaling that builders have a first-class path to the most senior levels of product leadership. It is anticipated that an incumbent in this role will work as a Hybrid employee, with three (3) or more days each week required on-site at one of the listed office locations. Candidates should be located within a commutable distance to an office. Internal candidates currently aligned to an Orion office location may be given preference; however, internal candidates with varying work arrangements may be considered based on experience and business needs. Work location is subject to change based on business needs.

Requirements

Has a proven track record of shipping successful products at senior IC level
Has a deep, demonstrable AI fluency and has built features powered by LLMs, ships prototypes in modern AI coding tools, understands eval frameworks, cost tradeoffs, and agent architectures; this is not "has used ChatGPT"
Possess strong technical instincts; reads code, writes SQL, works fluently with APIs, holds substantive conversations with senior engineers
Has world-class written communication; writes the clearest PRD in the room
Has mastery of discovery craft; customer interviews, competitive teardowns, data analysis, synthesis
Possesses evidence of raising the bar for teammates (mentorship outcomes, artifacts adopted as team standards, successful hires championed)
Has comfort with ambiguity and a strong bias to ship
Has a minimum of a bachelor's degree or equivalent practical experience
Has 10+ years in product management or product engineering, with clear evidence of increasing scope and complexity
At least one tour in a heavily AI-forward or technically deep product role

Nice To Haves

Agile Scrum Development
AI Concepts
Client-Centric
Effective Communication
Innovation
Large Language Model (LLM) Fine-Tuning
Product Management
Project Management
Technical Proficiency
Time Management
User Experience (UX)
Work Collaboratively

Responsibilities

Own the highest-leverage, ambiguous, or hardest-to-solve problems in the pillar — the platform-level bets and the initiatives where the outcome matters most
Personally ship the work: PRDs, prototypes, shipped features, customer research synthesis, and post-launch analyses — at the quality bar the rest of the team calibrates against
Build and deploy AI-native workflows: prototype in AI coding tools, run discovery and synthesis through LLMs, ship internal agents that eliminate repetitive work, and publish those workflows as team standards
Partner with engineering leadership on technical direction for the pillar — data contracts, AI/model integration decisions, platform investments
Translate GM-level strategy into a crisp, opinionated product vision for the pillar; set the product quality bar the team works against
Run end-to-end discovery: customer interviews, data analysis, competitive research, opportunity sizing — AI-accelerated at every stage
Lead cross-pillar initiatives that touch more than one product, where a senior IC perspective is more valuable than a management handoff
Represent the pillar in customer executive conversations, industry forums, and cross-functional executive reviews
Mentor 3–6 peer PMs through weekly 1:1s, PRD reviews, shadowing on discovery calls, and pair-shipping on hard problems
Raise the team's AI fluency: teach AI-native workflows, maintain the pillar's prompt and agent library, review AI-generated artifacts for quality
Own the hiring bar for the pillar's PM hires; lead technical interview loops and make hire/no-hire calls alongside the GM
Be the person peers escalate to when stuck — unblock them and make the call on hard tradeoffs
Model operating norms (documentation, async comms, meeting hygiene) that keep the team flat and fast