Opportunity

Principal PM Agentic AI at Legion - $280K-$300K + Equity in Columbus

Location Columbus
Company Legion
Source jobicy
Posted 2026-10-28 14:53:40

Career & Market Insight

A Rare Intersection of AI Product Leadership and Deep Technical Craft

This Principal PM role sits at one of the most strategically valuable intersections in enterprise software right now: agentic AI applied to a regulated, operationally complex domain. Skills developed here — LLM evaluation, agent system design, human-in-the-loop architecture, enterprise compliance for AI — are in extremely high demand and will remain so for years.

Compensation vs. Market: The $280,000–$300,000 base is in the 90th+ percentile for Principal PMs nationally. Comparable roles at Tier 1 tech companies (Google, Meta, Salesforce) for a Principal PM with AI specialization typically range $250,000–$320,000 OTE. The added bonus tied to business outcomes and equity in a growth-stage WFM company makes total comp competitive with FAANG while offering significantly more ownership and impact.

Career Development Signals:

  • Green flag: Direct CEO collaboration daily — rare exposure that accelerates career trajectory.
  • Green flag: Individual contributor with full ownership of a pre-launch agent surface — maximum learning density.
  • Green flag: Compensated practical exercise signals a company that respects talent.
  • Yellow flag: No team to inherit means no direct reports or management track currently — pure IC role.
  • Yellow flag: "Genuine ambiguity" and shifting model capabilities require high tolerance for uncertainty.

Work-Life Balance: The bar described is genuinely demanding — daily agentic tooling, prototype building, customer operations visits, and enterprise deployments. This is a high-intensity role best suited to someone energized by deep, fast-moving technical product work rather than looking for predictable hours.

JOB OVERVIEW

Legion is building AI agents that carry out workforce management work, not agents that describe it.

Much of what is presented as AI in workforce management today is a conversational layer over an existing scheduling screen. The more substantial problem — software that reasons over demand, labor regulation, and employee preferences, then acts, with a person in the loop wherever the stakes require one — remains unsolved across the category. Legion intends to solve it, and this role leads the product work to get there.

You will take an agent surface from operational research through specification, prototype, evaluation, and enterprise deployment, working hands-on throughout. You will work closely with Legion's AI Lab engineers and with our CEO, who is engaged in this work daily.

RESPONSIBILITIES AND DUTIES

Agent definition. Determine what an agent is responsible for, which tools it may call, what it must escalate, what it must never do, and what a manager sees when it acts. These decisions affect employee pay and legal compliance. Much of this work is pre-launch, so you will shape the direction rather than inherit it.

Problem selection. The hardest judgment in agentic product work is identifying which workflows suit an agent and which do not. You will spend substantial time inside customer operations — district managers, store managers, labor operations, frontline employees — and return with a ranked, defensible view of where an agent creates measurable value and where it does not.

The human-in-the-loop contract. Scheduling decisions affect income, childcare arrangements, and legal protections. For each agent action you will define where autonomy is appropriate, the escalation thresholds, how a manager overrides the system, what is logged, and how a compliance team audits the outcome. Legion treats this as a first-class design problem.

Build quality. You are accountable for what ships, not for what was specified. That means staying engaged through implementation: reviewing the build against the specification as it comes together, using the product yourself before anyone else is asked to, joining bug triage and design review, catching drift from intent while it is still cheap to correct, and holding a release when the quality is not there. Our customers experience the build, not the document. A well-written specification that produced a product managers do not trust is failed product work, and we assess it that way.

Evaluation. Build and maintain the evaluation sets that determine whether an agent is ready to ship and whether it is degrading in production — writing the cases, reviewing failure traces, setting the pass criteria. You will be the person who holds a release when the demonstration is persuasive and the evaluation is not.

Specifications. Legion uses Functional Requirements Documents as its ground-truth specification layer; release notes, enablement material, and sales content are generated from maintained specifications rather than reconstructed from code or institutional memory. Write FRDs that meet that standard and keep them accurate after release. A specification is where the work begins, not where your responsibility ends.

Commercialization. Partner with go-to-market on packaging, metering, pricing inputs, and field readiness. Agentic products raise difficult commercial questions — what unit to meter, what a customer is paying for when software performs work a person previously did — and you will be expected to hold a considered position on them.

Design-partner delivery. Lead agent deployments with large enterprise design partners: scoping the pilot, establishing success criteria before it begins, joining failure reviews, and determining what becomes generally available and what remains bespoke.

TECHNICAL EXPECTATIONS

Legion is looking for a product manager who builds, rather than one who directs others who build. In a typical week, this role involves:

  • Writing and iterating on prompts and system prompts directly, and explaining why a change improved a behavior
  • Standing up a working prototype of a proposed agent — tool definitions, structured outputs, retries, guardrails — before engineering is asked to build anything
  • Using agentic coding tools (Claude Code or equivalent) daily: prototyping, data analysis, specification work, and reading the codebase behind your specifications
  • Reviewing an execution trace and diagnosing whether a failure originates in a tool description, a retrieval gap, a context-window constraint, an under-specified output schema, or a genuine model limitation
  • Building and running evaluation sets, and interpreting the results without a data scientist to translate them
  • Holding an informed position on retrieval design, tool-use patterns, structured output, model routing, latency and cost trade-offs, and multi-tenant safety in enterprise SaaS
  • Opening pull requests against our codebase — a prototype, a prompt change, an evaluation fixture, a specification stub. Pushing code is permitted and actively encouraged for product managers who want to work that way. It is not a requirement of the role, and the same review standards apply to everyone.
  • Following model releases, agent frameworks, and protocol changes, and translating them into roadmap implications within days rather than quarters

We recognize that this is a demanding technical bar for a product role. It reflects what the work actually requires.

REQUIRED SKILLS AND QUALIFICATIONS

  • 7+ years in product management (Senior) or 10+ years (Principal), including at least 2 years shipping LLM-backed features to external, paying users — not internal tools, proofs of concept, or hackathon projects
  • Demonstrated hands-on capability of the kind described above. Expect to show your work.
  • Substantial enterprise B2B SaaS experience: multi-tenant architecture, role-based access control, audit trails, single sign-on, data residency, security review, and enterprise procurement. You should be able to anticipate what a customer's security questionnaire will ask about an LLM feature.
  • A record of taking an ambiguous, operationally complex domain problem through to a shipped product with demonstrated adoption — not only launch
  • Evidence of staying with a product through implementation and owning its quality at release. We will ask about a release you delayed or stopped, what you found, and how you found it.
  • The judgment to recognize what current models cannot do reliably, and the willingness to say so when a room expects a different answer
  • Comfort working inside a codebase. An engineering background is not required, but you should be able to read the code behind what you are specifying, run it locally, and open a pull request.
  • Strong written communication. Legion runs on documents, and candidates are evaluated substantially on how they write.

PREFERRED QUALIFICATIONS AND ATTRIBUTES

  • Direct experience in workforce management, HCM, ERP, supply chain, or another operationally complex enterprise domain with compliance exposure
  • Familiarity with labor compliance regimes — predictive scheduling ordinances, meal and rest break rules, union work rules — or demonstrated ability to become fluent in a comparable regulatory domain quickly
  • Background in demand forecasting, optimization, or decision systems
  • Experience building platform or authoring surfaces that customers configure themselves
  • An engineering or technical degree, or prior experience as an engineer or data scientist
  • Experience with products sold into frontline-heavy industries: retail, hospitality, healthcare, or manufacturing

SCOPE OF ROLE, STATED PLAINLY

So that candidates can assess fit early:

  • This is an individual contributor role. There is no team to inherit and no management responsibility at present.
  • The role is accountable for what ships, not for what is specified. Writing the specification is a portion of the work, not the whole of it.
  • This is not an AI strategy or vendor-evaluation role. The work is product definition, prototyping, specification, evaluation, and delivery.
  • The role requires forming an independent point of view from operational research. Direction will not be handed down in detail.
  • The environment carries genuine ambiguity. The category is being defined as we work in it, and model capabilities shift underneath the roadmap.

SELECTION PROCESS

Our process includes a practical exercise: a sanitized workforce management problem, for which candidates produce an agent design — scope, tools, failure modes, human-in-the-loop contract, and evaluation plan — together with a working prototype they built themselves, using any model provider they prefer. The exercise is then discussed with the people the candidate would work alongside. We weigh it heavily, and we compensate candidates for the time.

COMPENSATION & BENEFITS

Salary Range: $280,000–$300,000 + bonus (tied to business outcomes) + Stock Equity

At Legion, we offer competitive compensation and benefits packages to all employees. As a fully remote employer, pay for positions is determined using local, national, and industry-specific survey data.

Our posted salary range is done so in good faith based on national data and may be refined for a candidate's region/town/cost of living. We strive to make competitive offers that allow employees room for future growth. Salaries will be based on the applicant's location, level of experience, education, and specialized knowledge and skills. Additionally, we consider the external market rate, the amount we have budgeted internally, and the internal equity for the same position within the company.

Benefits include, but are not limited to:

  • $0 monthly premium and other flexible medical, dental, and vision plans effective on the first day of employment
  • 401k plan
  • Discretionary Paid Time Off and Paid Holidays
  • Parental Leave
  • Equity
  • Monthly Wellness Reimbursement
  • Monthly Lunch on Legion

ABOUT LEGION

Join Legion's mission to turn hourly jobs into good jobs. We're a remote, mission-driven team seeking exceptional talent to propel this vision. Embrace a culture that's collaborative, fast-paced, and entrepreneurial. With us, you'll grow your skills, work closely with experienced executives, and contribute significantly to our mission.

Legion Technologies delivers the industry's most innovative workforce management platform. It enables businesses to maximize labor efficiency and employee engagement simultaneously. The award-winning, AI-driven Legion WFM platform is intelligent, automated, and employee-centric. It's proven to deliver 13x ROI through schedule optimization, reduced attrition, increased productivity, and increased operational efficiency. Legion delivers cutting-edge technology in an easy-to-use platform and mobile app that employees love.

If you're ready to make an impact and grow your career, Legion is where you belong. Join us in making hourly work rewarding and fulfilling. For more information, visit https://legion.co

EQUAL EMPLOYMENT OPPORTUNITY

Legion Technologies is proud to be an equal-opportunity employer and is committed to maintaining a diverse and inclusive work environment. All qualified applicants will be considered for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, genetic information, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.

DISABILITY ACCOMMODATION

For individuals with disabilities who need additional assistance at any point in the application and interview process, please email [email protected]

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Legion recruiting email communications will always come from the @legion.co domain. Any outreach claiming to be from Legion via other sources should be ignored. If you are uncertain whether you have been contacted by an official Legion employee, reach out to [email protected]

Frequently Asked Questions

Is this role truly fully remote or is there an office requirement?
The role is fully remote within the United States. Legion is a fully remote employer and there is no office requirement, though the role involves visiting customer operations sites and collaborating closely with the CEO and AI Lab team.
What is the salary range and total compensation for this role?
The base salary range is $280,000–$300,000 annually, plus a bonus tied to business outcomes and stock equity. Benefits include $0 premium health insurance from day one, 401k, discretionary PTO, parental leave, and monthly wellness reimbursement.
What does the hiring process involve?
The process includes a paid practical exercise where candidates design an AI agent for a sanitized workforce management problem — including scope, tools, failure modes, human-in-the-loop contract, and evaluation plan — plus a working prototype built by the candidate. This is then discussed with the team.
Is an engineering background required for this product manager role?
An engineering background is not strictly required, but candidates must be comfortable reading code, running it locally, and opening pull requests. The role involves daily use of agentic coding tools and building working prototypes independently.
Does this role include people management responsibilities?
No — this is explicitly an individual contributor role with no team to inherit and no management responsibility at present. The focus is entirely on hands-on product definition, prototyping, specification, and delivery.
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