Principal Product Manager, Agentic AI

vibehackers; United States; Remote; USD 280,000 - 300,000; Full time

Benefits offered by this job

Zero monthly medical premium

Flexible medical/dental/vision plans

401(k) plan

Discretionary paid time off

Paid holidays

Equity

Monthly wellness reimbursement

Monthly lunch stipend

Job summary

vibehackers seeks a Principal Product Manager to lead agentic AI for workforce management. You will own specification, prototyping, evaluation and enterprise deployment, collaborating with AI engineers and executives.

The role demands hands-on prototyping, defining limits and guardrails, and shaping go-to-market with executive stakeholders. Fully remote in the United States with competitive compensation.

Qualifications

• 10+ years product management experience at principal level.
• 2+ years shipping LLM-backed features to paying customers.
• Hands-on prompt engineering, prototyping, evaluation and delivery.
• Enterprise B2B SaaS with multi-tenant architecture, RBAC, audit trails.
• Ability to ship ambiguous, operationally complex domain problems.

Responsibilities

• Define agent responsibilities, tool usage, escalation rules and outputs.
• Identify workflows with measurable value and create a ranked roadmap.
• Define human-in-the-loop autonomy boundaries and auditability.
• Review builds vs. specs, join bug triage, and approve releases.
• Build evaluation sets, write tests, review failures and set pass criteria.
• Produce Functional Requirements Documents as the source of truth.
• Collaborate on packaging, pricing inputs, and field readiness.
• Lead design-partner deployments and determine GA vs. bespoke deliverables.

Skills

Product Management

Operational Research

Prompt Engineering

Prototyping

Human-in-the-loop

Specification Writing

Stakeholder Management

Go-to-market

Enterprise SaaS Knowledge

Written Communication

Compliance & Security Awareness

Technical Literacy

Job description

Uses agentic coding tools and LLMs daily (e.g., Claude Code) for prompt engineering and rapid agent prototyping.

About the Role

Lead product definition, prototyping, evaluation, and enterprise deployment of agentic AI for workforce management. Own the end-to-end product lifecycle—specification, hands-on prototyping, evaluation, and release quality—while working closely with AI Lab engineers and executive leadership.

Job Description

Role

Principal Product Manager leading the development of agentic AI that performs workforce management tasks. The role requires hands-on work across specification, prototyping, evaluation, and enterprise deployment, with close collaboration with AI engineers and executive stakeholders.

Key Responsibilities

• Define agent responsibilities, tool usage, escalation rules, and manager-facing outputs with attention to pay and legal compliance.
• Conduct operational research inside customer operations to identify workflows where agents create measurable value and produce a ranked roadmap.
• Define the human-in-the-loop contract: autonomy boundaries, escalation thresholds, overrides, logging, and auditability.
• Stay engaged through implementation: review builds vs. specifications, join bug triage, perform design review, and hold releases when quality is insufficient.
• Build and maintain evaluation sets, write test cases, review failure traces, and set pass criteria for releases and production monitoring.
• Produce and maintain Functional Requirements Documents (FRDs) as the authoritative specification source.
• Partner with go-to-market on packaging, metering, pricing inputs, and field readiness for agentic products.
• Lead design-partner deployments: scope pilots, establish success criteria, join failure reviews, and determine general availability vs. bespoke deliverables.

Technical Expectations

• Write and iterate prompts and system prompts; explain improvements to model behavior.
• Stand up working prototypes of agents (tool definitions, structured outputs, retries, guardrails) prior to engineering work.
• Use agentic coding tools (e.g., Claude Code) daily for prototyping, analysis, and spec work; read and understand code behind specifications.
• Diagnose execution traces to identify issues from tool descriptions, retrieval gaps, context-window limits, output schemas, or model limitations.
• Build and run evaluation sets and interpret results without a data scientist intermediary.
• Hold informed positions on retrieval design, tool-use patterns, structured output, model routing, latency/cost trade-offs, and multi-tenant safety.
• Open pull requests against the codebase for prototypes, prompt changes, evaluation fixtures, or spec stubs (pushing code is encouraged but not required).

Requirements

• 10+ years product management experience for Principal level (7+ years for Senior), with at least 2 years shipping LLM-backed features to external paying customers.
• Demonstrated hands-on capability in prompt engineering, prototyping, evaluation, and product delivery.
• Substantial enterprise B2B SaaS experience (multi-tenant architecture, RBAC, audit trails, SSO, data residency, security review, procurement).
• Track record of taking ambiguous, operationally complex domain problems through to shipped products with adoption.
• Evidence of owning product quality through implementation and release decisions.
• Judgment to recognize current model limitations and communicate them clearly.
• Comfort working inside a codebase: read code, run locally, and open pull requests.
• Strong written communication; ability to run the product primarily through documents and specifications.

Preferred Qualifications

• Direct experience in workforce management, HCM, ERP, supply chain, or other operationally complex, compliance-exposed domains.
• Familiarity with labor compliance regimes (predictive scheduling, meal/rest rules, union work rules) or ability to learn regulatory domains quickly.
• Background in demand forecasting, optimization, or decision systems.
• Experience building configurable platform surfaces for customers.
• Engineering or technical degree or prior engineering/data science experience.
• Experience with products sold into frontline-heavy industries (retail, hospitality, healthcare, manufacturing).

Scope of Role

• Individual contributor role with no current team management responsibilities.
• Accountable for what ships, not just for the specification.
• Focused on product definition, prototyping, specification, evaluation, and delivery rather than AI strategy or vendor evaluation.

Selection Process

• Includes a compensated practical exercise: produce an agent design (scope, tools, failure modes, human-in-the-loop contract, evaluation plan) and a working prototype built by the candidate.
• Salary Range: $280,000–$300,000 plus bonus (tied to business outcomes) and stock equity.
• Benefits include $0 monthly premium and flexible medical/dental/vision plans effective day one, 401(k) plan, discretionary paid time off and paid holidays, parental leave, equity, monthly wellness reimbursement, and monthly lunch stipend.

Location & Remote

• Fully remote in the United States. Company states pay is determined using local, national, and industry-specific survey data and may be refined by candidate location.

Skills

Product Management Operational Research Prompt Engineering Prototyping Human-in-the-loop Design Evaluation & Metrics Specification Writing Stakeholder Management Go-to-market Collaboration Enterprise SaaS Knowledge Compliance & Security Awareness Technical Literacy (codebase familiarity) Written Communication Customer Research

Experience Level

USD 280,000 - 300,000/year

Employment Type

{Full-Time}

• Fully Remote
• $0 monthly medical premium / flexible medical plans