Senior Product Manager (AI Evaluation & Product Strategy) at Gramian Consulting Group

📍 Job Overview

Job Title: Senior Product Manager (AI Evaluation & Product Strategy)

Company: Gramian Consulting Group

Location: California, United States

Job Type: Contractor

Category: Product Management / GTM Operations

Date Posted: 2026-08-24

Experience Level: Mid-Senior Level (4+ years)

Remote Status: Fully Remote

🚀 Role Summary

This role involves designing and creating high-quality product management deliverables, acting as a benchmark for AI-generated outputs.
Focuses on defining and evaluating senior-level product management work, including PRDs, product strategy, and roadmaps.
Requires evaluating AI-generated product management artifacts for accuracy, reasoning, and clarity.
Opportunity to shape the future of AI-assisted product management by defining excellence standards.

📝 Enhancement Note: While the job title is "Product Manager," the core responsibilities of evaluating AI outputs and defining standards for product management deliverables align closely with GTM Operations and Revenue Operations functions, particularly in areas of process definition, quality assurance, and tooling enablement. The role requires a deep understanding of product management best practices to serve as a benchmark.

📈 Primary Responsibilities

Design realistic and complex product management scenarios that mirror real-world challenges and decision-making processes.
Create definitive, "gold-standard" reference deliverables, including Product Requirements Documents (PRDs), launch memos, strategic roadmaps, executive update summaries, and cross-functional communication briefs.
Develop nuanced product strategy scenarios encompassing critical elements like prioritization, trade-offs, customer needs analysis, and execution decisions.
Rigorously evaluate AI-generated product management deliverables, assessing them for structural integrity, logical reasoning, technical depth, clarity for various stakeholders, and adherence to best practices.
Define detailed and objective evaluation rubrics specifically tailored for senior-level product management outputs, ensuring consistency and fairness.
Identify and articulate common weaknesses in AI-generated outputs, such as vague objectives, insufficient trade-off analysis, weak prioritization rationale, or unclear success criteria.
Apply established product management frameworks (e.g., Jobs-to-be-Done, opportunity solution trees, prioritization models) consistently in both the creation of scenarios and the evaluation of AI outputs.
Ensure all created scenarios and produced deliverables authentically represent high-impact product workflows and strategic thinking.
Provide structured, actionable, and constructive feedback to AI models and development teams to enhance the quality and effectiveness of AI-generated product management outputs.

📝 Enhancement Note: The emphasis on "gold-standard" deliverables and evaluation rubrics suggests a need for meticulous process documentation and a strong understanding of quality assurance within product management workflows, which are key components of operations roles.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a Bachelor's degree in a related field (e.g., Computer Science, Business, Engineering, Marketing) is often preferred for senior product roles. Advanced degrees or relevant certifications in Product Management or AI/ML may be beneficial.

Experience: A minimum of 4 years of professional Product Management experience is required, with a strong preference for experience within major technology companies (e.g., FAANG) or comparable high-scale, high-growth product environments.

Required Skills:

Product Management Expertise: Deep understanding of the product lifecycle, from ideation and strategy to launch and iteration.
PRD & Documentation Creation: Proven ability to author comprehensive and effective Product Requirements Documents, launch memos, and executive summaries.
Product Strategy & Roadmapping: Demonstrated experience in developing and articulating product strategies, prioritizing initiatives, and building actionable roadmaps.
Cross-functional Collaboration: Strong ability to work effectively with engineering, design, data science, marketing, sales, and executive teams.
Prioritization & Trade-off Analysis: Expertise in making difficult prioritization decisions and clearly articulating the rationale and trade-offs involved.
Communication Skills: Exceptional written and verbal English communication skills, capable of conveying complex information clearly to diverse audiences, including technical teams and senior leadership.
PM Framework Proficiency: Practical knowledge and application of common product management frameworks such as Jobs-to-be-Done (JTBD), opportunity solution trees, and various prioritization models.
AI Output Evaluation: Ability to critically assess AI-generated content for quality, accuracy, strategic alignment, and completeness.

Preferred Skills:

Experience in evaluating AI-generated content or working with AI product development teams.
Familiarity with AI/ML concepts and their application in product development.
Experience in creating evaluation rubrics or quality assessment frameworks.
Background in IT professional services or engineering talent solutions, providing context for the consulting environment.
Experience in a consulting capacity, advising clients on product strategy or management best practices.

📝 Enhancement Note: The emphasis on FAANG or comparable environments implies a need for candidates who have operated at scale, understanding complex systems and large user bases, which is a common requirement for senior operations roles dealing with large datasets and extensive user workflows.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

Demonstration of PRDs: Examples of well-structured and comprehensive PRDs that clearly define product scope, requirements, user stories, and success metrics.
Product Strategy Artifacts: Samples of product strategy documents, market analyses, competitive assessments, or business cases that illustrate strategic thinking.
Roadmap Examples: Visualizations or documentation of product roadmaps, showcasing prioritization logic and alignment with business objectives.
Launch & Communication Memos: Polished examples of launch plans, go-to-market strategies, or executive update memos that demonstrate effective communication and planning.
Case Studies of Prioritization: Documentation of how complex prioritization decisions were made, including trade-offs considered and stakeholder alignment achieved.

Process Documentation:

Workflow Design: Evidence of designing or documenting product management workflows, from ideation to launch.
Framework Application: Clear illustration of how specific PM frameworks (JTBD, Opportunity Solution Trees, etc.) were applied to solve product challenges.
Evaluation Frameworks: If applicable, examples of frameworks or rubrics developed for evaluating product deliverables or team performance.
Cross-functional Process Integration: Examples demonstrating how product management processes were integrated with engineering, design, marketing, and sales workflows.

📝 Enhancement Note: While this role is not traditional "operations," the requirement for a portfolio demonstrating "gold-standard" deliverables and structured evaluation implies a need to showcase process rigor, quality control, and the ability to define operational excellence in product management. Candidates should highlight their ability to create repeatable, high-quality outputs.

💵 Compensation & Benefits

Salary Range: $60 - $100 per hour.

Methodology: This range is explicitly provided in the job description. It reflects a senior-level contractor role with specialized expertise, suitable for experienced product managers operating in high-demand markets.
Factors: The specific hourly rate within this range will likely depend on the candidate's exact years of experience, depth of expertise in specific product areas, negotiation skills, and the perceived value they bring to evaluating AI-driven product management.

Benefits:

Contractor Status: This is a contractor assignment, meaning traditional employee benefits (health insurance, retirement plans, paid time off) are typically not provided by the hiring organization.
Flexibility: As a remote contractor, candidates benefit from significant flexibility in work hours and location within the US.
Hourly Rate: The compensation is structured as an hourly wage, allowing for potential earnings based on hours worked.
Specialized Experience: The role offers the opportunity to gain unique experience in AI evaluation and product strategy, which can be valuable for future career development.

Working Hours: Approximately 40 hours per week, typical for a full-time contractor role. The remote nature allows for flexibility in scheduling, though core hours for collaboration may be expected.

📝 Enhancement Note: As a contractor role, candidates should be aware that they will be responsible for their own benefits (health insurance, retirement, taxes). The hourly rate is competitive for senior-level contract product management roles in the US, especially those involving specialized skills like AI evaluation.

🎯 Team & Company Context

🏢 Company Culture

Industry: IT Professional Services and Engineering Talent Solutions. Gramian Consulting Group operates within the tech services sector, bridging the gap between companies needing specialized IT talent and skilled professionals.

Company Size: Specific size not detailed, but described as a "boutique consultancy," suggesting a smaller, focused team rather than a large corporation. This often implies a more agile, personal, and hands-on work environment.

Founded: Specific founding date not provided, but the description suggests established expertise in software engineering and leadership.

Team Structure:

Likely a lean, agile team of consultants and talent acquisition specialists.
The role will involve collaboration with Gramian's internal team (e.g., account managers, recruiters) and, more significantly, with the client company's product, engineering, and leadership teams.
Reporting structure will be to a Gramian project lead or manager, with direct client stakeholders for the product management tasks. Methodology:
Focus on delivering high-quality IT professional services and engineering talent solutions.
Emphasis on understanding client needs deeply and matching them with the right expertise.
For this role, the methodology will revolve around defining and evaluating product management excellence, leveraging established frameworks and practical experience.
A data-driven approach to evaluating AI outputs and providing structured feedback.

Company Website: https://jobs.workable.com/company/kANY7hHLXDH7fUqyifRLmf/jobs-at-gramian-consulting-group (This is a link to their job postings page, the main company site is likely gramianconsulting.com based on domain_derived)

📝 Enhancement Note: As a boutique consultancy, Gramian likely values strong individual contributors who can operate autonomously and deliver high-quality work. The culture is expected to be professional, client-focused, and results-oriented.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned at a senior individual contributor level within the Product Management domain, but its unique focus on AI evaluation and defining standards also touches upon operational excellence and process definition. It's a specialized, high-impact role that leverages extensive product management experience.

Reporting Structure:

As a contractor, you will report to a project manager or lead at Gramian Consulting Group.
You will work closely with and receive direction from client-side stakeholders (e.g., Head of Product, VP of Engineering, AI leads) within the organization for whom the AI evaluation is being performed. Operations Impact:
The primary impact is on improving the quality and effectiveness of AI-generated product management tools and outputs.
By defining clear standards and providing expert feedback, this role directly influences the development of AI that can better support product managers, thereby enhancing overall product development efficiency and quality.
This role contributes to the operational efficiency of product teams by ensuring AI tools produce reliable and high-quality outputs. Growth Opportunities:
Specialization: Deepen expertise in AI evaluation methodologies and the intersection of AI with product management.
Consulting Experience: Gain valuable experience working with different companies and their product challenges, enhancing consulting skills.
Industry Insight: Develop a unique perspective on the evolving landscape of AI in the tech industry and product development.
Networking: Build connections within Gramian Consulting Group and with client organizations.
Potential for Future Engagements: Successful contractors may be offered further opportunities with Gramian or its clients.

📝 Enhancement Note: This role offers a unique growth path for experienced Product Managers looking to pivot into a more advisory or quality assurance-focused capacity, leveraging their expertise in a novel application of AI. It's an opportunity to define best practices in a nascent field.

🌐 Work Environment

Office Type: This is a fully remote contractor position, meaning there is no physical office requirement. Work is performed from the candidate's chosen location within the United States.

Office Location(s): Remote, US-based. The role is designed to accommodate talent across the United States, likely leveraging various time zones.

Workspace Context:

Autonomy: Candidates will need to establish their own productive home office environment.
Digital Collaboration: Heavy reliance on digital collaboration tools (video conferencing, chat, project management software) for communication with both Gramian and client teams.
Independent Work: The role requires significant self-discipline and the ability to work independently, managing one's own schedule and tasks effectively.
Focus on Deliverables: The environment is highly focused on producing high-quality, tangible outputs and providing expert evaluations.

Work Schedule: Approximately 40 hours per week. While remote, flexibility is expected, but candidates should be available for scheduled meetings, reviews, and collaborative sessions, potentially across different US time zones.

📝 Enhancement Note: The remote, contractor nature of this role necessitates strong self-management and communication skills. Candidates should be comfortable working asynchronously and proactively communicating their progress and any blockers.

📄 Application & Portfolio Review Process

Interview Process:

Initial Screening: Likely a brief call with a Gramian recruiter to assess basic qualifications, experience, and alignment with the contractor role.
Technical/Product Deep Dive: An interview with a senior member of Gramian's team or a direct client stakeholder to thoroughly assess product management expertise, strategic thinking, and experience with PM frameworks. This may involve scenario-based questions.
Portfolio Review: A dedicated session where candidates present their portfolio, showcasing examples of PRDs, roadmaps, strategy documents, and launch plans. The focus will be on the quality, depth, and impact of these deliverables.
AI Evaluation Discussion: A discussion or practical exercise focused on how the candidate would approach evaluating AI-generated product management outputs, assessing their critical thinking and ability to define quality standards.
Final Interview/Offer: Potentially a final discussion to confirm fit and extend an offer.

Portfolio Review Tips:

Curate Select Examples: Choose 2-3 of your strongest, most representative pieces of work (PRDs, strategy documents, roadmaps).
Highlight Impact & Process: For each piece, clearly articulate the problem it solved, your role, the process you followed, the frameworks used, and the measurable impact or outcome.
Demonstrate "Gold Standard" Quality: Ensure your examples exemplify the high-quality, detailed, and strategically sound outputs the role requires.
Contextualize: Be prepared to explain the business context, target audience, and key decisions made for each portfolio item.
AI Evaluation Readiness: Be ready to discuss your approach to evaluating quality and identifying weaknesses in any product management deliverable, framing this as your potential approach to AI outputs.

Challenge Preparation:

Scenario-Based Questions: Prepare to answer hypothetical product management challenges, focusing on strategy, prioritization, and stakeholder management.
Framework Application: Be ready to explain how you'd use frameworks like JTBD or opportunity solution trees in specific situations.
AI Evaluation Approach: Think about how you would assess an AI-generated PRD. What criteria would you use? What common pitfalls would you look for? How would you provide feedback?
Communication Clarity: Practice articulating your thoughts concisely and clearly, as if presenting to executives.

📝 Enhancement Note: Candidates should emphasize their ability to not just do product management, but to define and evaluate excellent product management. The portfolio is critical for demonstrating this capability.

🛠 Tools & Technology Stack

Primary Tools (Likely to be used by candidate and/or client):

Product Management Platforms: Jira, Confluence, Asana, Trello (for task management, documentation, and collaboration).
Roadmapping Tools: Aha!, Productboard, Roadmunk, or even advanced spreadsheet/presentation tools.
Documentation Tools: Google Workspace (Docs, Slides), Microsoft Office Suite (Word, PowerPoint), Notion.
Collaboration Suites: Slack, Microsoft Teams, Zoom, Google Meet.
AI/ML Platforms (for evaluation context): Candidates may be expected to understand or interact with AI platforms, though direct experience isn't required. Familiarity with AI development environments or interfaces could be a plus.

Analytics & Reporting:

Familiarity with analytics concepts and how they inform product decisions (e.g., understanding metrics, KPIs). While not directly building dashboards, the ability to evaluate outputs that should incorporate data is key. CRM & Automation:
Understanding of how product management interacts with CRM systems (e.g., Salesforce) and sales enablement tools, particularly when defining product requirements or launch strategies.

📝 Enhancement Note: While direct experience with specific AI platforms isn't required, familiarity with common product management tools and the ability to learn new collaboration or evaluation interfaces quickly will be essential. The role implies a need to understand how AI tools integrate into existing product workflows.

👥 Team Culture & Values

Operations Values:

Excellence: A commitment to defining and delivering "gold-standard" work.
Rigor: Applying structured methodologies and frameworks consistently.
Clarity: Ensuring all communication and documentation is clear, concise, and actionable.
Insight: Providing deep, critical analysis and valuable feedback.
Collaboration: Working effectively with diverse teams to achieve shared goals.
Adaptability: Embracing new technologies like AI and adapting product management practices accordingly.

Collaboration Style:

Client-Centric: Focused on understanding and meeting the specific needs of the client organization.
Expert-Driven: Operating as a subject matter expert in product management and AI evaluation.
Proactive Communication: Regularly updating Gramian and client stakeholders on progress, findings, and any challenges.
Constructive Feedback: Delivering feedback in a professional, actionable, and supportive manner.

📝 Enhancement Note: The culture likely values professionals who are not only skilled but also possess strong communication, analytical, and problem-solving capabilities, with an emphasis on delivering tangible value and insights.

⚡ Challenges & Growth Opportunities

Challenges:

Defining "Excellence": Quantifying and standardizing what constitutes "senior-level" product management work for AI evaluation can be subjective and challenging.
AI Nuance: Evaluating AI outputs requires understanding both product management principles and the potential limitations/biases of AI models.
Client Variability: Working with different client organizations means adapting to diverse product strategies, team structures, and existing processes.
Remote Collaboration: Maintaining strong communication and alignment with distributed teams requires proactive effort.
Contractor Role Dynamics: Navigating the client-consultant relationship effectively.

Learning & Development Opportunities:

AI Integration: Gain hands-on experience and insight into how AI is being applied to product management functions.
Product Strategy Refinement: Enhance your ability to develop and articulate sophisticated product strategies through iterative scenario design.
Evaluation Methodology: Develop expertise in creating and applying evaluation frameworks for complex qualitative outputs.
Consulting Skills: Improve client management, communication, and advisory skills.
Industry Trends: Stay at the forefront of advancements in AI and its impact on the tech industry.

📝 Enhancement Note: This role presents a unique opportunity to contribute to the cutting edge of AI adoption in product management, solving a complex problem of quality assurance for AI-generated content.

💡 Interview Preparation

Strategy Questions:

"Describe a complex product strategy you developed. What were the key trade-offs and how did you prioritize initiatives?" - Preparation: Have a specific, detailed example ready. Focus on the 'why' behind your decisions and the metrics used.
"How would you approach creating a 'gold-standard' PRD for a new AI feature, and what key elements would you ensure are present?" - Preparation: Outline your structured process, emphasizing user needs, technical requirements, success criteria, and potential risks.
"Imagine an AI generated a product roadmap. What are the first 5 things you would check to evaluate its quality?" - Preparation: Think critically about roadmap elements: alignment with strategy, feasibility, clarity of dependencies, realistic timelines, and stakeholder buy-in. Company & Culture Questions:
"What do you see as the biggest challenges in evaluating AI-generated product management content?" - Preparation: Discuss the subjectivity of quality, the need for domain expertise, and potential AI biases.
"How do you ensure effective collaboration with engineering, design, and business stakeholders, especially in a remote setting?" - Preparation: Highlight your communication strategies, proactive engagement, and use of collaboration tools.
"What does 'product management excellence' mean to you, and how would you translate that into an evaluation rubric?" - Preparation: Define key attributes of excellent PM work and how they can be objectively assessed. Portfolio Presentation Strategy:
Structure Your Narrative: For each portfolio piece, use a STAR (Situation, Task, Action, Result) or similar framework.
Quantify Impact: Whenever possible, use data and metrics to demonstrate the success of your work.
Highlight Process: Explain the methodologies and frameworks you employed.
Focus on Strategic Thinking: Emphasize the strategic decisions made and their rationale.
Be Ready for Deep Dives: Anticipate detailed questions about your choices and execution.

📝 Enhancement Note: Candidates should be prepared to demonstrate not just their past accomplishments but their ability to analyze, critique, and define best practices, positioning themselves as experts capable of setting standards for AI outputs.

📌 Application Steps

To apply for this operations-adjacent product management position:

Submit your application through the Workable platform.
Portfolio Customization: Prepare your portfolio to highlight examples of high-quality PRDs, product strategies, roadmaps, and launch documents. Focus on pieces that demonstrate strategic depth, clear prioritization, and excellent communication.
Resume Optimization: Tailor your resume to emphasize your extensive product management experience, particularly in large-scale tech environments, and any experience or aptitude for evaluating complex outputs or defining quality standards.
Interview Preparation: Practice articulating your product management philosophy, your approach to evaluating quality, and how you would assess AI-generated content. Prepare specific examples for scenario-based questions.
Company Research: Understand Gramian Consulting Group's business model and their specialization in IT professional services and talent solutions. Research the general landscape of AI in product management to contextualize your role.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

Senior Product Manager (AI Evaluation & Product Strategy)