Technical Product Manager – AI Solutions

Jobtailor

Pennsylvania

On-site

USD 120,000 - 160,000

Full time

3 days ago

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Job summary

Jobtailor seeks an experienced AI Product Manager to own the product vision for AI in Customer Operations. You will lead an engineering team within a scaled agile cadence, drive discovery with CS and platform stakeholders, and shape AI use cases with measurable success metrics.

You will craft PRDs, user stories, and specs for AI-led capabilities, define agent behaviors, prompts, and guardrails, and publish production-ready configurations.

Qualifications

Bachelor's degree in Computer Science, Information Systems, Business, or related field.
6+ years of relevant product management or related work experience.
Experience defining, deploying, and iterating on AI-enabled solutions in an enterprise or B2B/B2C product environment.
Experience implementing LLM-enabled automation workflows, agentic AI, or custom generative AI solutions in production.
Familiarity with LLM APIs, retrieval-augmented generation, knowledge grounding, function/tool calling, and agent orchestration frameworks.
Hands-on prompt engineering experience.
Experience evaluating and monitoring AI quality.
3+ years PM in CX tech, enterprise e-commerce, or customer platforms.
Strong understanding of customer service operations and CRM platforms (Salesforce preferred).
Proven experience with customer-facing digital platforms and portals in B2B environments.
Strong leadership, collaboration, and communication skills.
Technical depth to engage engineers on AI architecture and design tradeoffs.
Comfort operating in regulated healthcare environments with responsible AI considerations.

Responsibilities

Own the product vision, roadmap, and backlog for AI in Customer Operations.
Act as product owner for an engineering team within scaled agile planning cadence.
Lead product discovery with customer service and digital platform stakeholders.
Identify, prioritize, and validate high-value AI use cases with defined success metrics.
Develop PRDs, user stories, and functional specifications for AI-driven capabilities.
Define assistant and agent behaviors, conversation and escalation flows, grounding and retrieval strategy, and guardrails.
Create, test, iterate, and publish production-ready prompts and agent configurations.
Define AI evaluation frameworks, launch quality bars, monitor production behavior, and drive continuous improvement.
Advise stakeholders on build-versus-buy-versus-configure decisions across AI platform landscape.
Manage development cycles with internal engineering and external vendor resources.
Oversee test planning, system integration testing, validation, and issue resolution.
Collaborate with legal, compliance, privacy, and security for responsible AI delivery.
Work with end users to drive adoption through training, enablement, and support.

Skills

AI product management

Prompt engineering

LLM-enabled automation

AI quality monitoring

Independent product owner

Leadership & communication

Technical depth in AI architecture

Education

B.S. in CS/IS/Business

Tools

Salesforce

Job description

Own the product vision, roadmap, and backlog for AI in Customer Operations
Act as product owner for an engineering team within a scaled agile planning cadence
Lead product discovery with customer service and digital platform stakeholders
Identify, prioritize, and validate high-value AI use cases with defined success metrics
Develop PRDs, user stories, and functional specifications for AI-driven capabilities
Define assistant and agent behaviors, conversation and escalation flows, knowledge grounding and retrieval strategy, and guardrails
Create, test, iterate, and publish production-ready prompts and agent configurations
Define AI evaluation frameworks, set launch quality bars, monitor production behavior, and drive continuous improvement
Advise stakeholders on build-versus-buy-versus-configure decisions across the enterprise AI platform landscape
Manage product development cycles with internal engineering and external vendor resources
Oversee test planning, system integration testing, validation of results, and issue resolution
Partner with legal, compliance, privacy, and security stakeholders to deliver AI capabilities responsibly
Work with end users to drive adoption through training, enablement, feedback loops, and usage support

Requirements

Bachelor's degree in Computer Science, Information Systems, Business, or a related field
6+ years of relevant product management or related work experience
Demonstrated experience defining, deploying, and iterating on AI-enabled solutions and automations in an enterprise or B2B/B2C product environment
Experience implementing LLM-enabled automation workflows, agentic AI, or custom generative AI solutions in production
Familiarity with LLM APIs, retrieval-augmented generation, knowledge grounding, function/tool calling, and agent orchestration frameworks or platforms
Hands-on prompt engineering experience
Experience evaluating and monitoring AI quality
Current working understanding of LLM capabilities and tradeoffs
3+ years of product management experience in customer service, CX technology, enterprise e-commerce, or customer platform domains
Strong understanding of customer service operations, including contact center technologies, case management, and service metrics
Familiarity with enterprise CRM platforms; Salesforce strongly preferred
Proven experience with customer-facing digital platforms and portals in B2B environments
Track record of improving customer satisfaction and operational efficiency through technology initiatives
Ability to operate independently as product owner for a team
Strong leadership, collaboration, verbal, and written communication skills
Technical depth to engage engineers on AI architecture and design tradeoffs
Strong problem-solving and analytical skills
Comfort operating in a regulated healthcare environment with compliance, privacy, and responsible AI considerations

Core Competencies

Demonstrates expertise in product management for AI-driven solutions, with a strong focus on customer operations and the ability to define and iterate on AI capabilities. Proficient in managing product development cycles, collaborating with stakeholders, and ensuring compliance in regulated environments.

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