Prompt Engineering

Prompt Engineering Product Jobs

4 jobs found

3d ago

Product Manager for AI Solution

Photon United States

United States

3d ago

$54k - $189k/yr Contract Ai Evals Ai Orchestration Ai Workflows

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Job Description

Photon is building AI-powered workflows across the Clover ecosystem, with a focus on measurable outcomes and strong user trust. This contract Product Manager role is based in the United States (onsite) and brings together product strategy and hands-on AI execution, from use-case definition to evaluation, governance, and launch planning.

What you’ll focus on

Define and prioritize AI-powered workflow use cases, partnering with engineering, data science, and design to identify high-value automation opportunities.
Translate business processes into agentic experiences that give merchants flexibility while keeping end-user experiences simple.
Define success metrics, manage complex product requirements, and create a prioritized roadmap using behavioral data and market trends.
Ensure AI solutions deliver measurable business outcomes while maintaining user trust, security, and control.

How the work gets delivered

Build and implement agent evaluation frameworks, including confidence scoring and prompt iteration cycles to monitor production accuracy and performance.
Implement enterprise AI governance mechanisms such as human-in-the-loop review, audit trails, and approval workflows to support reliability, security, and compliance across agent pipelines.
Use hands-on prototyping tools to rapidly validate prompts, agent workflows, and evaluation harnesses to speed alignment and deployment.
Collaborate with vertical PMs to educate and onboard them into AI development, using their subject matter expertise to help develop agents for vertical areas.

What you bring

7+ years of Product Management experience (at least Senior level), ideally in POS, e-commerce, or complex fintech enterprise systems.
Hands-on expertise across Generative AI and practical agent systems, including multi-agent orchestration, tool-calling/tool-use frameworks, and RAG & embeddings, along with prompt engineering and workflow automation.
Comfort working with complex data structures such as catalogs, taxonomies, and item relationships.
A track record of leading large-scale cross-functional initiatives from concept to launch, with strong analytics for defining metrics and iterating based on data.
Experience building evaluation harnesses (evals, confidence scoring), managing human-in-the-loop feedback loops, and designing audit-ready workflows for enterprise AI systems.
Ability to run hands-on rapid prototyping of agent workflows and prompt systems alongside engineering to validate product architecture.

Compensation and benefits

Compensation range: USD 54,000 to USD 189,000 per year
Compensation is based on actual experience and qualifications of the candidate (reasonable and good faith estimate).
Job type: Independent contractors (contract)
Benefits: medical, vision, and dental; 401k retirement plan; variable pay/incentives; paid time off; paid holidays

Note: No applications will be considered if received more than 120 days after the date of this post.

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6d ago

Staff IT Product Owner

EchoStar Englewood, CO

Englewood, CO

6d ago

$96k - $138k/yr Full time Agentic Ai Ai Agent Ai Agent Platform

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Job Description

EchoStar is building an Agentic AI development tool that helps teams create autonomous, multi-step reasoning agents for CX use cases. As a Staff IT Product Owner based in Englewood, CO (onsite), you will set the product vision, define measurable outcomes, and own the platform backlog in Jira while partnering closely with engineering and CX leadership.

What you’ll do

Own and drive the product vision for the Agentic AI development tool, enabling engineers to build agents for use cases such as automated support resolution, hyper-personalized outreach, and human-in-the-loop handoffs.
Partner with CX leadership to identify key customer journey friction points and ensure the AI platform includes the required capabilities, including API integrations, RAG pipelines, and Guardrails.
Define AI platform KPIs tied to downstream CX results, including developer velocity, system uptime, and agent hallucination rates, alongside deflection rate, average handle time, and NPS.
Act as the ultimate owner of the platform backlog in Jira, breaking complex and ambiguous AI initiatives into well-structured Epics, User Stories, and tasks.
Use Advanced Roadmaps, JQL, and Jira dashboards to track cross-sprint dependencies, forecast delivery of complex ML models, and report transparently to executive stakeholders.
Lead backlog grooming, sprint planning, and sprint reviews, including clear acceptance criteria for non-deterministic AI features (for example, an agent routing intent with 95% confidence).
Work daily with Senior/Staff AI Engineers, Data Scientists, and Backend Engineers to prioritize foundational architectural work such as prompt management systems, memory/context windows, and tool-use/function calling.
Prioritize guardrails, compliance checks, and PII redaction so customer-facing agents operate safely and securely.
Drive the roadmap for tooling that supports human CX agents taking over from, monitoring, and providing feedback to AI agents.
Serve as a subject matter expert in Agile delivery for AI products and mentor junior and mid-level Product Owners across the CX organization.

What you bring

10+ years in Product Management or Product Ownership, with at least 5+ years at a Senior or Staff level managing highly technical platform or infrastructure products.
Proven experience shipping Generative AI, LLMs, or Machine Learning products, including strong understanding of Agentic AI concepts such as RAG, vector databases, prompt engineering, and orchestration frameworks like LangChain or AutoGen.
Expert-level Jira proficiency, including structuring complex programs, balancing technical debt vs. feature delivery, and writing clear user stories for backend and AI engineers.
Deep understanding of CX ecosystems, including CCaaS, CRM platforms, and customer support workflows.
Ability to participate in deep technical architecture discussions, with fluency in APIs, microservices, system latency, and data pipelines.
Strong capability to manage effectively up to VP/C-level while maintaining credibility with engineering squads.
Certified Scrum Product Owner (CSPO), SAFe PM/PO, or equivalent Agile certifications.
Experience with cloud-native AI services, particularly the AWS AI stack (Amazon Bedrock, SageMaker, AgentCore).
Experience building internal developer platforms (IDP), SDKs, or APIs where developers were the primary end-users.

Location and compensation

Location: Englewood, CO (onsite)
Salary: USD 96,250 - 137,500 per year
Minimum experience: 10 years

Technologies you’ll work with

Jira, Advanced Roadmaps, JQL, Jira dashboards
RAG pipelines, Guardrails, API integrations, LangChain, AutoGen
Vector databases, prompt engineering, agent orchestration frameworks
CCaaS, CRM platforms, AWS AI stack, Amazon Bedrock, SageMaker, AgentCore
SDKs, IDP, microservices, memory/context windows, tool-use/function calling, PII redaction

Benefits

Versatile health perks including flexible spending accounts
HSA
401(k) Plan with company match
ESPP
Career opportunities
Flexible time away plan
Benefits can be viewed here: EchoStar Benefits

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1mo ago

Senior Lead Product Manager, Product Operations

Cox Automotive Burlington, VT

Burlington, VT

1mo ago Closed

$135k - $225k/yr Full time Manager Ai Engineering Ai Workflows

This position is no longer accepting applications (closed Oct 18, 2026).

Job Description

Cox Automotive is looking for a Product Operations Senior Lead Product Manager to shape how product teams plan, build, and measure outcomes across the enterprise. In this onsite role in Burlington, VT, you will lead product operations maturity by embedding AI-first ways of working into discovery, definition, build, launch, and measurement, then operationalize shared standards across Cox Automotive.

You will partner across the product development lifecycle to create repeatable practices and enable teams to adopt enterprise expectations, shifting from an AI-aware organization to an AI-native product operating model.

What you will do

Lead the creation and adoption of strategies that enable Cox Automotive product team members to deliver best-in-class products.
Manage shared product management discipline standards across Cox Automotive and run initiatives that support product management excellence.
Support product readiness processes for key initiatives across the portfolio.
Collaborate cross-functionally with partners across the product development lifecycle to define and operationalize best practices.
Develop learning and development programs and drive adoption of enterprise standards.
Embed AI-first methodologies into how teams discover, define, build, launch, and measure products, accelerating the shift to AI-native ways of working.
Identify, develop, and administer enterprise-wide initiatives designed to improve Product Operations across portfolios.
Drive processes that improve product management maturity, skills, and consistency across Cox Automotive.
Own and evolve the enterprise discipline framework, including standards for discovery, specification, delivery, and post-launch measurement.
Lead development and adoption of AI-first approaches to product management across CAPTG.
Integrate AI tools (for example, Claude and Pendo AI) into workflows including discovery, research synthesis, specification writing, and launch readiness.
Develop reusable playbooks, skills, prompts, and agents to standardize and scale applied AI.
Serve as an internal subject matter expert and evangelist for applied AI in product management.
Partner with Product Management, Product Readiness teams, and other teams internal to the Product COE and CAPTG to coordinate efforts and promote awareness for Product Operations initiatives.
Catalyze behavioral change through knowledge sharing and curated resources that drive buy-in and adoption.

Core requirements

Lead adoption of AI-first approaches to product management with working knowledge of LLMs (Claude preferred), prompt engineering, and agentic workflows.
Provide excellent service to internal stakeholders while seeking incremental value.
Think critically and broadly about integrating tools, processes, and standards to create compounding value.
Teach others and clarify best practices in a way that drives buy-in and adoption.
Self-motivated and able to independently drive initiatives with minimal oversight.
Ability to operate broadly across diverse teams and stakeholders with macro and enterprise-level thinking.
Excellent written and verbal communication skills, comfortable communicating at all levels including senior leadership.

Experience and education

Bachelor's degree in a related discipline and 8 years of experience in a related field. Alternative combinations may include a master's degree with 6 years, a Ph.D. with 3 years, or 20 years of experience.
5-7 years of experience in a product organization directly in product management, or a combination of product management and product operations.
Hands-on experience applying AI tools to real product management workflows with measurable results.
Direct involvement driving continuous improvement and large operational change management initiatives.
Strong ability to build business relationships and contribute to the enterprise vision at Cox Automotive.
Strong ability to assess capabilities and gaps and build plans to address training needs.

Working knowledge of

AI in Product Management (hands-on, not theoretical).
Change Management and ADKAR.
Double Diamond framework.

Nice to have

Claude and Pendo.
Consulting experience.
Spec Driven Development.
Certified in Human Centered Design.

Technologies

Claude, Pendo AI
LLMs, prompt engineering, agentic workflows
Double Diamond framework
ADKAR

Location and compensation

Location: Burlington, VT (onsite)
Base salary range: USD $134,900 - $224,900 per year
Base salary may vary within the anticipated range based on the ultimate location and the selected candidate's knowledge, skills, and abilities.
May be eligible for additional compensation, which could include an incentive program.

Benefits

Flexibility to take as much vacation with pay as consistent with duties, company needs, and obligations.
Seven paid holidays throughout the calendar year.
Up to 160 hours of paid wellness annually for personal wellness or that of family members.
Additional paid time off including bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.

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1mo ago

Product Owner (AI)

Wesco Jersey Village, TX

Jersey Village, TX

1mo ago Closed

$119k - $161k/yr Full time Ai Engineering Ai Workflows Artificial Intelligence

This position is no longer accepting applications (closed Oct 17, 2026).

Job Description

Wesco seeks an AI Product Owner to lead AI and Generative AI product initiatives. This role connects business stakeholders with AI, data science, and engineering teams to shape AI product strategy, manage the backlog, and drive measurable business outcomes from planning through enterprise adoption.

Responsibilities

Partner with business leaders and functional stakeholders to identify, assess, and prioritize opportunities for AI, Generative AI, Machine Learning, and Intelligent Automation that deliver measurable business value.
Understand business processes, pain points, data availability, and operational requirements to determine which AI approaches fit best.
Translate strategic business objectives into actionable AI roadmaps, capabilities, and use cases.
Evaluate AI initiatives using criteria including business impact, feasibility, scalability, data readiness, implementation effort, and expected ROI.
Define MVP scope and support iterative development from proof-of-concept to production deployment and enterprise adoption.
Own and manage the AI product backlog, ensuring priorities remain aligned to business objectives and overall product strategy.
Convert business requirements into detailed epics, features, user stories, acceptance criteria, and functional requirements.
Continuously prioritize and refine the backlog based on business value, technical feasibility, stakeholder feedback, and changing organizational priorities.
Collaborate across Scrum Masters, engineering, data scientists, AI/ML engineers, architects, and business stakeholders throughout the product lifecycle.
Participate in Agile ceremonies including sprint planning, backlog refinement, sprint reviews, demos, and retrospectives.
Define acceptance criteria and validate that released solutions meet business requirements.
Partner with Data Science, AI/ML, engineering, and architecture teams to build solutions using technologies such as Generative AI, Large Language Models (LLMs), Machine Learning, NLP, predictive analytics, AI agents, and Intelligent Automation.
Support evaluation of AI outputs for accuracy, relevance, reliability, usability, and business value.
Define product and model performance metrics and establish feedback mechanisms to support continuous improvement.
Work with technical teams to address issues such as hallucinations, model performance, data quality, scalability, and integration with enterprise applications.
Establish measurable KPIs, success criteria, and business outcomes for AI initiatives.
Develop business cases and quantify potential improvements in productivity, revenue, cost reduction, customer experience, forecasting accuracy, cycle time, and operational efficiency.
Monitor adoption and performance post-deployment and identify opportunities for continuous improvement.
Gather stakeholder and user feedback and incorporate learnings into future product releases.
Communicate AI product performance, risks, dependencies, roadmap progress, and business outcomes to leadership and key stakeholders.
Ensure AI solutions are developed and deployed in alignment with organizational Responsible AI, security, privacy, data governance, and compliance standards.
Partner with governance, security, legal, risk, and technology teams across the AI product lifecycle.
Support evaluation of AI solutions for bias, accuracy, explainability, data quality, privacy, and other risks.
Establish human-in-the-loop controls and monitoring mechanisms where required.

Requirements

3–6+ years of experience in Product Management, Product Ownership, Business Analysis, Digital Transformation, Agile Delivery, or a related discipline.
Experience owning or supporting technology products from business problem identification through implementation and adoption.
Ability to translate complex or ambiguous business requirements into structured product requirements, user stories, and acceptance criteria.
Strong understanding of Agile/Scrum product development methodologies and backlog management.
Working knowledge of AI, Machine Learning, Generative AI, LLMs, analytics, or Intelligent Automation technologies.
Ability to work effectively with Data Scientists, AI/ML Engineers, Software Engineers, Architects, and business stakeholders.
Strong analytical and problem-solving skills, connecting technical capabilities to measurable business outcomes.
Excellent stakeholder management, facilitation, communication, and presentation skills.
Experience using product and delivery tools such as Jira, Azure DevOps, Confluence, or similar platforms.

Technologies

AI, Generative AI, Machine Learning, Intelligent Automation
Scrum, Agile
Jira, Azure DevOps, Confluence
Large Language Models (LLMs), NLP, predictive analytics, AI agents, LLM-based applications
Python, SQL, Snowflake
Azure AI services, AWS AI services, GCP AI services
APIs, RAG, prompt engineering

Preferred Qualifications

Previous experience in Supply Chain, Sales, Commercial Operations, or related business functions.
Experience delivering AI/ML or GenAI products in an enterprise environment.
Understanding of AI/ML concepts including model evaluation, training and inference, data pipelines, prompt engineering, RAG, and LLM-based applications.
Familiarity with Python, SQL, Snowflake, Azure/AWS/GCP AI services, APIs, and modern data platforms.
Experience developing business cases, ROI assessments, and value-realization frameworks for AI or digital initiatives.
Experience taking AI solutions from proof-of-concept/MVP to scalable production deployment.
Exposure to enterprise AI governance and Responsible AI frameworks.

Benefits

Paid time off
Medical, dental, and vision coverage
Retirement savings plans
Bonus or sales incentive plan (for eligible positions, subject to plan documents)
Commission structure for certain sales roles (additional compensation based on sales results, as defined by the applicable commission plan)

Location and Compensation

Location: Jersey Village, TX (onsite)

Salary: USD 119,327–161,092 per year

Compensation details: $119,327 - $161,092 Annually

Other listed locations: Pittsburgh, PA; Glenview, IL; Raleigh, NC; Austin TX; Houston TX; Dallas TX; Jersey Village TX; Phoenix AZ

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Prompt Engineering Product Jobs

Product Manager for AI Solution

Staff IT Product Owner

Senior Lead Product Manager, Product Operations

Product Owner (AI)

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