Product Strategy Lead

📍 Job Overview

Job Title: Product Strategy Lead Company: Synquery Location: Nashville, Tennessee, United States / Boston, Massachusetts, United States Job Type: FULL_TIME Category: Product Operations / Revenue Operations (GTM Enablement) Date Posted: September 03, 2025 Experience Level: 0-2 Years (Early Career) Remote Status: Hybrid (with preference for Nashville or Boston locations)

🚀 Role Summary

• This role is centered around the strategic application of AI and automation technologies to solve complex client business challenges, bridging the gap between cutting-edge innovation and practical business operations.
• You will be instrumental in designing, building, and deploying AI-driven workflows and lightweight AI agents, directly impacting client efficiency and operational outcomes.
• As a Product Lead for a core product, you will collaborate closely with Engineering teams, translating market needs and client feedback into actionable product roadmaps and feature development, mirroring a GTM strategy execution function.
• The position requires a blend of client management, project execution, and a deep understanding of automation platforms, aligning with core Revenue Operations and Go-To-Market (GTM) operational support functions.
• Success in this role hinges on an entrepreneurial mindset, the ability to thrive in ambiguity, and a proactive approach to building solutions from the ground up, characteristic of high-impact operations roles in growth-stage companies.

📝 Enhancement Note: Given the title "Product Strategy Lead" and the responsibilities involving AI workflow design, product management, and client project ownership within an AI research company, this role can be categorized under Product Operations with strong ties to Revenue Operations and GTM enablement. The emphasis on building and deploying workflows and acting as a liaison between technology and client needs aligns with operational efficiency and revenue growth support.

📈 Primary Responsibilities

• AI Workflow Design & Prototyping: Design, build, and prototype client-specific workflows using AI and automation platforms (e.g., n8n, Make, Clay) to address unique business challenges and enhance operational efficiency.
• AI Agent Development: Construct and refine workflow automations and lightweight AI agents to augment client operations, improve data processing, and enable new business capabilities.
• Product Lifecycle Management: Serve as a Product Lead for a core Synquery product, including prototyping new product ideas with low-code tools and collaborating with Engineering to guide their development and successful market introduction.
• Client Project Ownership: Manage client-facing operations projects from initiation to completion, ensuring timely delivery of high-quality solutions, stakeholder satisfaction, and strong client relationships.
• Strategic Client Engagement: Act as a thought partner to clients, translating their business needs and operational pain points into actionable strategies that leverage Synquery's AI capabilities and platform offerings.
• Cross-Functional Collaboration: Work closely with internal Engineering, Sales, and Client Success teams to ensure seamless delivery of AI solutions and to gather insights for product improvement and market expansion.
• Process Documentation & Improvement: Document designed workflows and AI agent functionalities, identifying opportunities for process optimization and scalability within client engagements and product offerings.

📝 Enhancement Note: The responsibilities clearly indicate a blend of technical execution (AI workflow design, agent building) and strategic product management, with a strong emphasis on client delivery and operational impact. This is typical of roles that support GTM functions by operationalizing new technologies and ensuring client adoption and success.

🎓 Skills & Qualifications

Education:

• Bachelor’s degree from a top academic institution, demonstrating strong analytical and foundational knowledge.

Experience:

• 0-2 years of experience in client-facing roles, such as consulting, account management, project management, or business operations.
• Hands-on experience with AI and automation platforms (e.g., n8n, Make, Clay) is a significant advantage.
• Prior exposure to product management principles or experience in a startup environment is highly beneficial.

Required Skills:

• AI & Automation Proficiency: Demonstrated hands-on experience or a strong aptitude for learning and utilizing AI and automation tools like n8n, Make, or Clay for workflow creation.
• Client Management & Communication: Excellent verbal and written communication skills, with the ability to manage client expectations, present technical concepts clearly, and build strong professional relationships.
• Problem-Solving & Analytical Skills: Ability to analyze complex business problems, identify opportunities for automation, and design effective operational solutions.
• Entrepreneurial Drive: A proactive, self-starter mentality with a willingness to take initiative, adapt to changing priorities, and contribute to building processes and products from the ground up.
• Project Management Fundamentals: Basic understanding of project management principles for managing client engagements and internal product development cycles.

Preferred Skills:

• Low-Code Tool Experience: Familiarity or experience with low-code development platforms for rapid prototyping.
• Product Management Acumen: Understanding of product development lifecycle, user story creation, and roadmap planning.
• Technical Aptitude: A strong interest and ability to quickly learn new technologies, particularly in the AI and automation space.
• Startup Experience: Previous work in a fast-paced startup environment, demonstrating adaptability and a results-oriented approach.
• Data Analysis & Visualization: Basic skills in analyzing data to inform workflow design and measure impact.

📝 Enhancement Note: The emphasis on AI/automation platforms, client management, and an entrepreneurial mindset is critical for operations roles in tech startups. The "0-2 years" experience level suggests the company is looking for high-potential individuals who can grow with the role and company, focusing on foundational skills and a willingness to learn.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Workflow Automation Case Studies: Examples of designed and implemented workflows, showcasing the problem addressed, the tools used (e.g., n8n, Make, Clay), the logic applied, and the measurable outcomes or efficiency gains achieved.
• AI Agent Prototypes/Demos: Demonstrations or detailed descriptions of lightweight AI agents built, highlighting their functionality, the AI models or techniques employed, and their potential business impact.
• Product Prototyping Examples: If applicable, examples of new product ideas prototyped using low-code tools, demonstrating ideation, user flow design, and functional testing.
• Client Project Summaries: Summaries of client-facing projects managed, detailing scope, key deliverables, stakeholder management, and successful project completion, with a focus on operational improvements delivered.
• Process Improvement Documentation: Evidence of process analysis and documentation, illustrating understanding of operational flows and how they were optimized or automated.

Process Documentation:

• Candidates are expected to demonstrate an ability to document complex AI workflows and automation logic clearly and concisely, facilitating understanding and potential replication or further development.
• Proficiency in creating process maps, flowcharts, and technical specifications for AI agents and automated systems will be highly regarded.

📝 Enhancement Note: For an early-career role focused on AI and automation, a portfolio demonstrating practical application of these tools, even in academic or personal projects, is crucial. It should showcase problem-solving skills, technical aptitude with automation platforms, and the ability to articulate process improvements.

💵 Compensation & Benefits

Salary Range:

• Given the early-career nature of the role (0-2 years experience), the locations (Nashville and Boston), and the high-growth tech startup environment, a competitive salary range is expected. For Nashville, a range of $65,000 - $85,000 annually is typical for such roles. For Boston, which generally has a higher cost of living, the range might be closer to $75,000 - $95,000 annually. These figures are estimates based on industry benchmarks for similar positions in these markets and may vary based on the candidate's specific qualifications and interview performance.

Benefits:

• Competitive Salary: A salary commensurate with experience and market rates.
• Equity Package: Potential for stock options or equity, reflecting the startup environment and the opportunity to grow with the company.
• Comprehensive Health Benefits: Medical, dental, and vision insurance coverage.
• Professional Development: Opportunities for training, certifications, and attendance at industry conferences related to AI, automation, and product management.
• Flexible Work Environment: While hybrid, there's an implied flexibility in how the work is accomplished, supporting work-life balance.
• 401(k) or Retirement Plan: Standard retirement savings options.

Working Hours:

• The role is listed as full-time, implying a standard 40-hour work week. However, startup environments often require flexibility and a willingness to go the extra mile, particularly during critical project phases or product launches. The hybrid nature suggests a balance between structured office time and remote flexibility.

📝 Enhancement Note: Salary ranges are estimates based on US market data for early-career roles in AI/Tech in Nashville and Boston. Benefits are standard for tech startups, with equity being a key differentiator. The "40" hours for working hours is a baseline, and actual commitment may vary.

🎯 Team & Company Context

🏢 Company Culture

Industry: AI Research & Development, Software Technology, Consulting Services. Synquery operates at the intersection of cutting-edge AI research and practical business application, serving clients in consulting and investment sectors. Company Size: Fast-growing startup, implying a dynamic, agile, and potentially lean operational structure. This means more direct impact and broader responsibilities for individuals. Founded: Synquery was founded to disrupt how organizations access and scale human expertise using AI. The founding principles likely emphasize innovation, speed, and a client-centric approach.

Team Structure:

• As an early-career role, the Product Strategy Lead will likely report to a senior product manager, head of product, or a founding team member.
• The team is expected to be collaborative, with close interaction between product, engineering, client success, and potentially sales.
• Roles are likely cross-functional, with individuals expected to contribute across different areas as needed.

Methodology:

• Data-Driven Decision Making: Emphasis on using data to inform workflow design, product decisions, and client solutions.
• Agile Development & Iteration: A culture that supports rapid prototyping, testing, and iteration based on feedback and performance metrics.
• Client-Centric Operations: Focus on understanding and solving client problems through technology and operational excellence.
• Automation & Efficiency Focus: Core to the company's mission, driving continuous improvement in processes through AI and automation.

Company Website: https://www.synquery.ai/

📝 Enhancement Note: The company's description highlights a "fast-growing AI research company" backed by VCs, with a culture valuing "speed, entrepreneurial thinking, and the drive to win." This context suggests an environment where initiative, adaptability, and a results-oriented mindset are highly valued, common in operations roles within ambitious startups.

📈 Career & Growth Analysis

Operations Career Level: Early Career Individual Contributor. This role is designed for someone with foundational skills looking to gain significant experience and grow into leadership positions within the product and operations domains of an AI company. Reporting Structure: The role will likely report to a senior leader within the Product or Operations team, providing mentorship and guidance. The direct interaction with Engineering and clients offers broad exposure. Operations Impact: The Product Strategy Lead will directly influence the success of Synquery's core products and the operational efficiency of its clients. Their work in designing and deploying AI workflows will have a tangible impact on revenue generation, client satisfaction, and internal operational scalability.

Growth Opportunities:

• Product Leadership: Progression to Senior Product Manager, Product Manager, or Head of Product roles as the company scales and product lines expand.
• Operations Specialization: Deep dive into specific areas of AI operations, workflow automation, or client success management.
• Technical Expertise Development: Advanced training and hands-on experience with a wide array of AI and automation technologies.
• Entrepreneurial Leadership: Opportunity to lead new initiatives, product lines, or even co-found new ventures within the Synquery ecosystem.
• Client Strategy Development: Evolving into a key advisor for enterprise clients on AI adoption and operational transformation.

📝 Enhancement Note: The "grow into leadership roles" statement is a strong indicator of the company's intent to develop talent internally. For an operations professional, this means opportunities to gain deep domain expertise and move into management or strategic planning roles.

🌐 Work Environment

Office Type: Hybrid work model. This suggests a blend of remote work and in-office collaboration, likely with designated "anchor" days or team meetings at the office. Office Location(s): Primary locations are Nashville, Tennessee, and Boston, Massachusetts. This offers candidates in these regions a chance to work in a dynamic tech hub.

Workspace Context:

• Collaborative Environment: Expect close collaboration with engineering, product, and client-facing teams, fostering an exchange of ideas and problem-solving.
• Technology-Rich: Access to modern AI and automation tools, cloud platforms, and collaboration software necessary for the role.
• Agile & Dynamic: The workspace will likely reflect the fast-paced nature of a startup, with an emphasis on quick decision-making and adaptability.
• Innovation Hub: Being part of an AI research company means exposure to cutting-edge technology and a culture that encourages experimentation.

Work Schedule:

• Standard full-time hours (approx. 40 hours/week) are expected, but the hybrid model and startup culture may offer some flexibility in daily scheduling, provided project deadlines and client needs are met. Regular team syncs and client calls will structure the week.

📝 Enhancement Note: The hybrid nature and preference for specific locations indicate a need for some in-person collaboration while offering flexibility. The "fast-growing AI research company" context points to an innovative and potentially demanding but rewarding work environment.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your resume and potentially a brief call with a recruiter or hiring manager to assess basic qualifications and cultural fit.
• Technical/Skills Assessment: This may involve a take-home assignment or a live coding/design exercise focused on workflow automation, AI agent conceptualization, or product prototyping using specified tools.
• Case Study Presentation: You may be asked to present a past project or a hypothetical solution to a business problem, demonstrating your strategic thinking, problem-solving approach, and communication skills. This is where your portfolio will be crucial.
• Behavioral Interviews: Questions designed to assess your entrepreneurial mindset, client management abilities, communication style, and how you handle ambiguity and challenges.
• Team/Hiring Manager Interviews: Deeper dives into your experience, technical skills, and how you would fit within the Synquery team and contribute to specific product roadmaps or client projects.

Portfolio Review Tips:

• Quantify Impact: For each portfolio piece, clearly state the problem, your solution, the tools used, and the measurable results (e.g., time saved, efficiency gained, revenue impact). Use metrics and data wherever possible.
• Showcase Process Thinking: Detail the steps you took to design, build, and refine your workflows or prototypes. Highlight your analytical approach and any iterations made.
• Demonstrate Tool Proficiency: Clearly indicate which AI and automation platforms you used and your level of expertise. If you have experience with low-code tools, include those examples.
• Highlight Client Focus: If you have client-facing project examples, emphasize how you understood client needs, managed expectations, and delivered value.
• Keep it Concise & Targeted: Focus on 2-4 of your strongest, most relevant projects that best showcase the skills required for this Product Strategy Lead role.

Challenge Preparation:

• Workflow Design Exercise: Be prepared to design a workflow for a given business scenario, specifying triggers, actions, data transformations, and potential integrations.
• Product Ideation: Practice brainstorming new product features or improvements based on market trends or client feedback.
• Communication Practice: Rehearse explaining technical concepts and project outcomes clearly and concisely to both technical and non-technical audiences.

📝 Enhancement Note: The interview process will likely heavily emphasize practical application of AI/automation skills and strategic thinking. A strong portfolio demonstrating hands-on experience and quantifiable results will be key to passing the technical and case study stages.

🛠 Tools & Technology Stack

Primary Tools:

• AI & Automation Platforms: n8n, Make, Clay (hands-on experience or demonstrated aptitude required).
• Low-Code Tools: For prototyping new product ideas (specific tools may vary, but familiarity with the concept is key).
• CRM: Likely a modern CRM system for client data management and sales process support (e.g., Salesforce, HubSpot).

Analytics & Reporting:

• Data Analysis Tools: Proficiency in analyzing data to understand workflow performance and client needs. This could involve SQL, Python libraries (Pandas, NumPy), or data visualization tools.
• Business Intelligence Tools: Experience with BI tools like Tableau, Power BI, or Looker for reporting and dashboard creation is a plus.
• Product Analytics: Familiarity with tools like Mixpanel, Amplitude, or Google Analytics for tracking product usage and user behavior.

CRM & Automation:

• Integration Platforms: Understanding of how different systems connect and integrate to create seamless workflows.
• Workflow Automation: Beyond specific platforms, a general understanding of automation principles and best practices is crucial.

📝 Enhancement Note: Proficiency with n8n, Make, and Clay is explicitly mentioned and will be a primary focus. Candidates should be prepared to discuss their experience with these or similar automation tools and demonstrate how they've used them to solve problems.

👥 Team Culture & Values

Operations Values:

• Innovation & Entrepreneurship: A drive to explore new AI applications and build solutions from the ground up, embracing challenges as opportunities.
• Client-Centricity: A commitment to understanding and solving client business problems with a focus on delivering tangible value and building lasting relationships.
• Speed & Agility: The ability to move quickly, adapt to change, and iterate on solutions in a fast-paced startup environment.
• Collaboration & Teamwork: A willingness to work closely with diverse teams, share knowledge, and support collective success.
• Results Orientation: A focus on achieving measurable outcomes and driving impact through efficient and effective operations.

Collaboration Style:

• Cross-Functional Integration: Expect to collaborate closely with Engineering on product development, with Client Success on client onboarding and ongoing support, and potentially with Sales on understanding market needs.
• Open Communication: A culture that encourages open dialogue, feedback exchange, and constructive debate to refine strategies and solutions.
• Ownership & Accountability: Team members are expected to take ownership of their work and be accountable for delivering high-quality results.

📝 Enhancement Note: The emphasis on "speed, entrepreneurial thinking, and the drive to win" strongly suggests a culture that rewards proactive individuals who can operate with autonomy and deliver results in a dynamic setting, which is characteristic of successful operations teams in growth-stage companies.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating Ambiguity: As an early-career role in a fast-growing startup, there will be inherent ambiguity in processes and strategic direction, requiring adaptability and initiative.
• Balancing Product & Client Needs: Juggling the demands of product development with the specific requirements of client projects requires strong prioritization and time management skills.
• Rapid Technology Evolution: Staying current with the fast-paced advancements in AI and automation technologies will be an ongoing challenge and opportunity.
• Scalability of Operations: Contributing to building scalable processes and workflows as the company and client base grow.

Learning & Development Opportunities:

• Deep AI/Automation Expertise: Gain hands-on experience with leading AI and automation platforms, becoming an expert in their application.
• Product Management Acumen: Develop a strong understanding of product strategy, development, and lifecycle management from a unique AI-driven perspective.
• Client Strategy & Consulting Skills: Hone skills in client management, needs assessment, and strategic advisory through direct client engagement.
• Startup Growth Experience: Benefit from working in a high-growth environment, learning about scaling operations, fundraising, and strategic business development.
• Leadership Development: The company explicitly mentions growth into leadership roles, providing a clear path for career advancement.

📝 Enhancement Note: The challenges presented are typical for early-career roles in startups, offering significant learning opportunities. The growth path into leadership is a key attraction for ambitious professionals in operations.

💡 Interview Preparation

Strategy Questions:

• AI Workflow Design: "Describe a complex business process you've analyzed. How would you design an AI-driven workflow to automate or optimize it? What tools would you use, and what are the key considerations?"
• Product Strategy: "Imagine you're the Product Lead for a new AI feature. What steps would you take to validate the idea, prototype it, and gather feedback from potential users?"
• Client Problem Solving: "A client is struggling with inefficient data processing. How would you approach diagnosing the issue and proposing an AI-powered solution? What questions would you ask?"
• Entrepreneurial Drive: "Tell me about a time you identified a problem and took initiative to solve it, even without being asked. What was the outcome?"
• Automation Tool Experience: "Describe your hands-on experience with n8n, Make, or Clay. What types of workflows have you built, and what were the results?"

Company & Culture Questions:

• "What excites you about Synquery's mission and the AI research space?"
• "How do you stay updated on the latest trends in AI and automation?"
• "Describe your ideal team environment and how you collaborate with others."
• "How do you handle working in a fast-paced, potentially ambiguous startup environment?"

Portfolio Presentation Strategy:

• Structure: For each project, follow a clear narrative: Problem -> Your Role/Action -> Solution/Tools Used -> Results/Impact.
• Visuals: Use clear diagrams, flowcharts, or screenshots to illustrate workflows and prototypes.
• Quantify: Emphasize metrics and data to demonstrate the impact of your work.
• Conciseness: Be prepared to walk through your portfolio efficiently, highlighting the most relevant aspects for the Product Strategy Lead role.
• Enthusiasm: Show passion for the technology and the problems you're solving.

📝 Enhancement Note: Interview preparation should focus on demonstrating practical skills with AI/automation tools, strategic thinking in product and operations contexts, and an entrepreneurial, client-focused mindset. The portfolio is the centerpiece for showcasing these capabilities.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided Ashby link.
• Tailor Your Resume: Highlight specific projects or experiences demonstrating your hands-on work with AI/automation platforms (n8n, Make, Clay), client management, project execution, and problem-solving skills. Use keywords from the job description.
• Curate Your Portfolio: Select 2-4 of your strongest projects that best showcase your ability to design and implement automated workflows, build AI agents, or prototype products. Ensure each project clearly outlines the problem, your solution, the tools used, and quantifiable results.
• Prepare Your Narrative: Be ready to clearly articulate your experience and passion for AI and operations during interviews. Practice explaining your portfolio projects concisely and confidently, focusing on the impact and your specific contributions.
• Research Synquery: Understand the company's mission, its AI research focus, its target clients (consulting firms, investors), and its culture of speed and entrepreneurship. This will help you tailor your responses and demonstrate genuine interest.

⚠️ 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.

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