Perceptyx
Product Deployment Manager
USA
Sponsorship not specified$130k-$140kDetected 64 days ago
AccessibilityProduct StrategyRecruitingHRISCommunicationCollaboration
About the role
- The Product Deployment Manager is a critical individual contributor within the Product team responsible for helping new and emerging capabilities successfully move from roadmap to real-world customer deployment.
- A central focus of this role is our headless delivery strategy: bringing Perceptyx capabilities into customer environments through APIs, MCP (Model Context Protocol), and the AI assistants customers already use, such as Microsoft Copilot and Claude.
- Acting as a bridge between Product strategy, customer implementation realities, and long-term productization, you will ensure that new capabilities are not only built, but are deployable, adoptable, and able to mature into scalable offerings.
Responsibilities
- Product Deployment & Support: Serve as the deployment lead for emerging, technically complex product capabilities (integrations, APIs, automation, and platform services).
- Act as a customer-facing point of contact for technical implementation discussions below core architecture design.
- Technical Enablement & Trust Governance: Build onboarding materials, implementation guides, and technical FAQs.
- Own the customer-facing trust package for agent-based deployments-handling data-scoping explanations, guardrail behavior, and model usage answers for security reviews.
- Integration & Migration Support: Support customer adoption of strategic integration capabilities (HRIS, ATS, API-based, and automation-driven patterns).
- This role does not manage people.
- Serve as the deployment lead for emerging, technically complex product capabilities (integrations, APIs, automation, and platform services).
- Build onboarding materials, implementation guides, and technical FAQs.
- Support customer adoption of strategic integration capabilities (HRIS, ATS, API-based, and automation-driven patterns).
- Please note: This role does not manage people.
Requirements
- You have a working understanding of how AI assistants consume software capabilities and what it takes to deploy them into enterprise agent environments.
- Communication & Synthesis: Excellent written and verbal communication skills, with a proven ability to translate complex technical criteria into business values for non-technical stakeholders and cross-functional teams.
- Ambidextrous Mindset: Proven ability to operate effectively in ambiguous, emerging spaces where processes are still evolving, while maintaining sharp attention to execution detail.
- 4+ years in Product Operations, Technical Program Delivery, Solutions Engineering, Technical Implementation, Product Enablement, or a similar role in a B2B SaaS environment.
- Excellent written and verbal communication skills, with a proven ability to translate complex technical criteria into business values for non-technical stakeholders and cross-functional teams.
- Proven ability to operate effectively in ambiguous, emerging spaces where processes are still evolving, while maintaining sharp attention to execution detail.
Nice to have
- Undergraduate degree preferred, or equivalent practical experience.
- Experience working directly with enterprise customer tech teams on architectural, governance, or security reviews.
- Familiarity with developer-facing capabilities such as SDKs, webhooks, or MCP-related patterns.
- Specific domain experience in HR Tech, employee experience software, survey platforms, or enterprise analytics environments.
Skills
- Final compensation is determined by factors including experience, geography, and skills.
Compensation
- US: $130,000-$140,000 USD per year.
- Canada: $150,000-$180,000 CAD per year.
- Note: Final compensation is determined by factors including experience, geography, and skills.
Benefits
- Comprehensive medical, dental, and vision insurance; [401k/RRSP] matching; generous PTO and paid holidays; parental leave; and professional development budget.
- Bonus Points: Experience working directly with enterprise customer tech teams on architectural, governance, or security reviews.
Company info
- bringing Perceptyx capabilities into customer environments through APIs, MCP (Model Context Protocol), and the AI assistants customers already use, such as Microsoft Copilot and Claude.
- At Perceptyx, we value your time and want our interviewers to be fully engaged in the conversation.
Equal opportunity
- equal opportunity employer committed to a diverse workforce.
- Perceptyx is an EEO/AA/Minority/Female/Disability/Veteran employer.
- If you require an accommodation, please let us know.
Visa & Work Authorization
- Your Choice (Opt-Out): Participation in recorded interviews is voluntary.
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This listing is sourced directly from Perceptyx's careers page and normalized into a canonical job model.