AI Product Strategy and Automation Engineer

📍 Job Overview

Job Title: AI Product Strategy and Automation Engineer

Company: THREAD BANK

Location: Nashville, Tennessee, United States

Job Type: Full-Time

Category: Revenue Operations / Sales Operations / GTM Operations (with a strong AI/Product focus)

Date Posted: March 05, 2026

Experience Level: Mid-Level (2-5 years)

Remote Status: On-site

🚀 Role Summary

• This role is critical for driving operational efficiency and innovation through the strategic application of AI and automation within a digital-first financial institution.

• You will be instrumental in identifying, designing, and implementing AI-powered workflows that directly impact key business metrics like cost savings, cycle time reduction, and error rate minimization.

• This position requires a unique blend of product thinking, engineering execution, and a strong understanding of business processes, particularly within a regulated fintech environment.

• You will work closely with senior leadership, providing direct exposure to C-suite stakeholders and influencing the bank's digital transformation and AI strategy.

📝 Enhancement Note: While the job title is "AI Product Strategy and Automation Engineer," the responsibilities and required skills strongly align with a Revenue Operations, Sales Operations, or GTM Operations role focused on process optimization, efficiency gains, and technology implementation, specifically leveraging AI and automation tools. The emphasis on stakeholder interviews, problem synthesis, prioritization, and impact measurement are core operations functions.

📈 Primary Responsibilities

• Design, build, and deploy AI-powered workflows and automation solutions using platforms like n8n, integrating APIs, connectors, and AI models to achieve tangible improvements in operational metrics.

• Conduct thorough stakeholder interviews to understand pain points, synthesize complex business needs into clear problem statements, and prioritize opportunities based on impact, effort, risk, and confidence.

• Develop and execute well-scoped work plans, defining requirements, acceptance criteria, and comprehensive rollout strategies for automation initiatives.

• Establish robust quality assurance, governance, and audit trails for all AI-driven processes, including setting confidence thresholds, implementing sampling mechanisms, and defining escalation paths.

• Maintain meticulous documentation and version control for all workflows, prompts, and associated technical assets to ensure reproducibility and compliance.

• Monitor key performance indicators (KPIs) and gather internal customer feedback to track and report on the impact of automations, such as hours saved, dollars saved, and volume processed.

• Present automation impact insights and strategic recommendations to product leadership, cross-functional teams, and senior executives to inform decision-making.

• Champion responsible AI practices by collaborating closely with compliance and risk management teams to ensure adherence to all regulatory standards.

• Develop example AI projects, such as CCO intake and scoring workflows, AI-assisted operational review flows, and dashboards that link operational volume and hours saved to executive objectives.

📝 Enhancement Note: The responsibilities emphasize a "build and ship" mentality, common in operations roles focused on delivering tangible improvements. The inclusion of stakeholder management, prioritization exercises, and impact reporting are standard operations functions, adapted here for an AI/automation context.

🎓 Skills & Qualifications

Education:

Experience:

• 2-5 years of experience in a role involving process improvement, technology implementation, product development, or operations, with a focus on driving efficiency.

Required Skills:

• Structured Thinking & Problem Solving: Ability to break down complex problems into manageable components and develop logical solutions.

• Prompt Engineering: Proficient in crafting clear, effective prompts for AI models to generate reliable and accurate outputs.

• AI-Assisted Development ("Vibe Coding"): Comfort and proficiency in using AI coding assistants (e.g., Claude Code, Cursor) for rapid prototyping, validation, and iteration.

• Automation Platform Proficiency: Hands-on experience building and deploying AI workflows using n8n or similar automation platforms (e.g., Power Automate, Zapier, Make), including API integrations, triggers, routing, approvals, and notifications.

• Basic Data Literacy: Ability to work with data in tools like Excel or Google Sheets, perform back-of-the-envelope opportunity sizing, and translate findings into potential cost savings with clear assumptions.

• High Ownership & Bias for Action: Proven ability to take initiative, drive projects forward independently, and ensure solutions are adopted and used effectively.

• Communication Skills: Strong written and verbal communication skills, with the ability to articulate technical concepts to non-technical stakeholders and document assumptions and decisions clearly.

• Growth Mindset & Resilience: Commitment to continuous learning in the rapidly evolving fields of AI, product management, and financial technology.

Preferred Skills:

• Hands-on experience with n8n.

• Familiarity with Python, SQL, JSON, and interpreting API documentation.

• Experience with product management methodologies (requirements gathering, user stories, acceptance criteria).

• Interest in governance, risk, compliance (GRC), or other regulated environments.

• Background in management consulting, strategy consulting, or business operations.

• Working knowledge of AI/ML concepts, large language models (LLMs), and responsible AI practices.

📝 Enhancement Note: The "vibe coding" and n8n proficiency are specific technical skills, while structured thinking, problem-solving, and ownership are core operational competencies. The preferred skills highlight a desire for candidates with a broader understanding of GRC and consulting, which are valuable in a regulated fintech environment.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Process Improvement Case Studies: Showcase examples of how you've identified inefficiencies, designed new workflows, and implemented solutions that resulted in measurable improvements (e.g., reduced cycle times, saved hours, lowered error rates).

• Automation Demonstrations: Provide examples of AI-powered workflows or automations you've built, illustrating the integration of APIs, AI models, and user interfaces. Highlight the specific tools used (e.g., n8n, Power Automate).

• Prompt Engineering Examples: Include examples of prompts you've developed for AI models, demonstrating your ability to elicit specific, reliable, and useful outputs. Show before-and-after scenarios if applicable.

• Documentation Samples: Present examples of clear and concise documentation for workflows, including requirements, acceptance criteria, process diagrams, and audit trail considerations.

• Impact Reporting: Demonstrate how you've tracked and reported on the ROI or business impact of your implemented solutions, using data and key performance indicators.

Process Documentation:

• Candidates are expected to have experience in documenting end-to-end processes for automation and AI implementation, including:
  • Workflow Design: Clearly mapping out current and future state processes, identifying automation points.
  • Implementation Planning: Detailing the technical steps, integrations, and testing required for deployment.
  • Performance Measurement: Defining metrics and methods for tracking the ongoing effectiveness and impact of automated processes.

📝 Enhancement Note: For an AI Product Strategy and Automation Engineer role, a portfolio is crucial for demonstrating practical application of skills. The emphasis is on tangible results, process design, and clear documentation, aligning with operations best practices for showcasing contributions and impact.

💵 Compensation & Benefits

Salary Range:

• Based on industry benchmarks for Mid-Level Automation Engineers and AI Specialists in Nashville, TN, with 2-5 years of experience, the estimated salary range for this role is $85,000 - $115,000 annually. This estimate considers the specific skills required (AI, automation platforms, prompt engineering) and the regulated fintech environment, which often commands a premium.

• Methodology: This range was derived by analyzing salary data from reputable sources for similar roles in the Nashville metropolitan area, factoring in the specified experience level and the specialized nature of AI and automation engineering within the financial services sector.

Benefits:

• Excellent benefits package (details to be provided by the employer, but typically includes health, dental, vision insurance).

• Opportunity to be part of a high-growth, cutting-edge fintech startup within a stable banking industry.

• Family-friendly culture.

• Direct exposure to C-suite stakeholders and leadership.

Working Hours:

• Standard 40-hour work week.

📝 Enhancement Note: Salary range is an estimate based on industry data for a mid-level role with specialized skills in a specific geographic location. The "excellent benefits" are noted as provided by the company, with typical offerings for such roles.

🎯 Team & Company Context

🏢 Company Culture

Industry: Financial Technology (Fintech) / Digital Banking

Company Size: Thread Bank operates as a digital-first community bank, indicating a growing but likely agile structure. While not explicitly stated, this suggests a company size that allows for direct impact and visibility for individual contributors, likely in the range of 50-250 employees, common for innovative fintechs.

Founded: The company description implies a modern, digital-first approach, suggesting a relatively recent founding or a significant pivot towards digital innovation.

Team Structure:

• The role reports to the "Product Manager for AI Innovation," indicating a dedicated team focused on leveraging AI.

• This team likely collaborates closely with product management, engineering, compliance, risk, and business operations teams across the bank.

Methodology:

• Data-Driven Innovation: Thread Bank emphasizes enhancing customer engagement through innovative solutions, suggesting a data-informed approach to product and process development.

• Agile Implementation: The focus on "shipping things that matter" and rapid iteration points to agile methodologies for product and automation development.

• Compliance and Quality Focus: Operating in a regulated banking environment necessitates a rigorous approach to quality assurance, governance, and compliance in all developed solutions.

Company Website: thread.bank

📝 Enhancement Note: The company culture is described as valuing innovation, collaboration, and flexibility, with a family-friendly atmosphere, within the structured environment of a regulated bank. This blend suggests a dynamic workplace that balances cutting-edge technology with robust compliance.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned at a Mid-Level, bridging the gap between junior automation specialists and senior product strategists. It offers significant autonomy and direct impact on strategic initiatives.

Reporting Structure: You will report to the Product Manager for AI Innovation, providing a clear line of mentorship and strategic direction. This role also involves significant direct interaction with C-suite stakeholders, offering high visibility.

Operations Impact: The core of this role is to drive measurable operational improvements through AI and automation. This directly impacts the bank's efficiency, cost structure, customer experience, and ability to scale its digital offerings, making it a high-impact position within the GTM and operational functions.

Growth Opportunities:

• AI & Product Specialization: Deepen expertise in AI, LLMs, prompt engineering, and automation platforms, becoming a subject matter expert within the organization.

• Leadership Development: Progress into senior product management, AI strategy, or operations leadership roles, potentially managing teams or larger strategic initiatives.

• Cross-Functional Expertise: Gain extensive experience in the regulated banking and fintech sectors, understanding compliance, risk, and product development within this niche.

• Strategic Influence: Contribute directly to the bank's overarching AI and digital transformation strategy, influencing future technology investments and operational roadmaps.

📝 Enhancement Note: This role offers a unique pathway for operations professionals to pivot into AI and product strategy within a stable industry, providing substantial growth potential and strategic influence.

🌐 Work Environment

Office Type: Thread Bank is described as a "digital-first financial technology community bank," and this role is specified as "On-site." This suggests a modern office environment designed for collaboration, innovation, and potentially housing key infrastructure or client-facing functions.

Office Location(s): The primary office location is Nashville, TN, at 1621 Ensley Blvd.

Workspace Context:

• Collaborative Atmosphere: The company culture emphasizes collaboration, suggesting an open-plan office or dedicated team spaces for dynamic interaction.

• Technology-Rich Environment: As a digital-first bank, expect access to modern technology, including robust IT infrastructure, specialized software, and potentially advanced AI/automation tools.

• Cross-Functional Interaction: The role necessitates frequent interaction with diverse teams, fostering a dynamic work environment where ideas are exchanged and problems are solved collectively.

Work Schedule: The standard 40-hour work week allows for focused work on complex automation projects and strategic planning, with potential for flexibility depending on project needs and company policy.

📝 Enhancement Note: The on-site requirement in a modern fintech environment suggests a focus on in-person collaboration and access to company resources, which can be beneficial for complex technical and strategic work.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your resume and portfolio to assess alignment with required skills, particularly in automation, AI, and process optimization.

• Technical/Skills Assessment: This may involve a practical exercise or a deep dive into your portfolio to evaluate your ability to design, build, and document AI workflows and automations using tools like n8n. Expect questions on prompt engineering and problem-solving.

• Product & Strategy Discussion: Interviews focusing on your understanding of product management principles, your approach to identifying and prioritizing opportunities, and your strategic thinking in applying AI to business problems.

• Stakeholder & Culture Fit: Conversations to assess your communication skills, ability to collaborate with diverse teams (including compliance and risk), and alignment with Thread Bank's innovative yet regulated culture. Expect to discuss how you handle ambiguity and drive action.

• C-Suite/Leadership Interview: A final interview with senior leadership to discuss high-level strategy, impact, and your vision for AI adoption within the bank.

Portfolio Review Tips:

• Quantify Impact: For each project, clearly articulate the problem, your solution, the tools used, and the measurable business impact (e.g., "Reduced processing time by 30%", "Saved 15 hours per week", "Decreased error rate by 10%").

• Showcase Process Thinking: Detail your approach to understanding existing processes, identifying bottlenecks, and designing optimized workflows. Use diagrams where helpful.

• Demonstrate Technical Skills: Provide clear examples of workflows built in n8n or similar platforms. Explain the logic, API integrations, and AI model usage.

• Highlight Prompt Engineering: Include examples of prompts and the resulting outputs, explaining your rationale and iteration process.

• Address Governance & QA: Show how you considered quality assurance, error handling, documentation, and compliance in your projects, especially relevant for a banking environment.

Challenge Preparation:

• Be prepared to discuss a hypothetical scenario where you need to automate a banking process. Outline your approach to discovery, design, implementation, and measurement.

• Practice explaining complex technical concepts (like prompt engineering or API integration) in a clear, concise manner to a non-technical audience.

• Think through potential risks and compliance considerations for AI applications in a financial institution.

📝 Enhancement Note: The interview process is designed to assess practical skills, strategic thinking, and fit within a regulated environment. A strong, results-oriented portfolio is essential for this role.

🛠 Tools & Technology Stack

Primary Tools:

• Automation Platform: n8n is explicitly mentioned as the primary tool. Proficiency in its workflow design, API integration, and automation capabilities is key.

• AI Models & Assistants: Experience with Large Language Models (LLMs) and AI coding assistants such as Claude Code, Cursor, or similar is expected for "vibe coding" and rapid prototyping.

• Data Manipulation & Analysis: Excel or Google Sheets for basic data literacy, opportunity sizing, and impact calculation.

Analytics & Reporting:

CRM & Automation:

• CRM System: Thread Bank has a CRM system, and automation workflows may integrate with it. Understanding CRM data structures and workflows is advantageous.

• API Integration: Essential for connecting various systems and AI models. Familiarity with RESTful APIs, JSON, and API documentation is crucial.

Other Potential Tools (Preferred):

• Automation Platforms: Power Automate, Zapier, Make.

• Programming Languages: Python, SQL.

📝 Enhancement Note: Expertise in n8n and AI coding assistants is a core requirement. Familiarity with related automation tools and programming languages will significantly enhance a candidate's profile.

👥 Team Culture & Values

Operations Values:

• Innovation & Progress: A drive to explore and implement new technologies like AI and automation to improve processes and customer experiences.

• Collaboration & Partnership: Working effectively with product, engineering, compliance, and business teams to achieve shared goals.

• Quality & Compliance: A commitment to rigorous standards, accuracy, and adherence to regulatory requirements in all operational and technical implementations.

• Impact & Results: A focus on delivering measurable business outcomes and demonstrating the value of implemented solutions.

• Continuous Learning: An eagerness to stay abreast of rapid developments in AI, fintech, and automation technologies.

Collaboration Style:

• Cross-Functional Integration: Expectations are high for seamless collaboration across departments, bridging technical and business needs.

• Open Communication: Encouraging the sharing of ideas, feedback, and challenges to foster a dynamic and efficient problem-solving environment.

• Iterative Development: A willingness to embrace iterative improvements and feedback loops to refine automation workflows and AI models.

📝 Enhancement Note: The culture blends the agility of a fintech startup with the rigor of a regulated bank, emphasizing innovation, quality, and collaborative problem-solving.

⚡ Challenges & Growth Opportunities

Challenges:

• Balancing Innovation with Regulation: Navigating the complexities of implementing cutting-edge AI solutions within a strictly regulated banking environment.

• Managing Ambiguity: The role involves working with evolving AI technologies and synthesizing unclear business pain points into actionable automation projects.

• Driving Adoption: Ensuring that implemented automation solutions are effectively adopted and utilized by internal stakeholders.

• Measuring ROI: Quantifying the precise financial and operational impact of AI-driven automations can be challenging but is critical for demonstrating value.

Learning & Development Opportunities:

• AI & Automation Specialization: Deep dive into advanced AI concepts, prompt engineering techniques, and sophisticated automation platform features.

• Fintech & Banking Domain Expertise: Develop a strong understanding of financial services operations, compliance, and regulatory landscapes.

• Product Strategy Skills: Enhance capabilities in product ideation, roadmap development, and stakeholder management within a product-focused team.

• Leadership Potential: Opportunities to lead technical projects, mentor junior team members, and contribute to the strategic direction of AI adoption.

📝 Enhancement Note: The challenges presented are typical for roles at the forefront of technological adoption in regulated industries, offering significant learning opportunities for ambitious professionals.

💡 Interview Preparation

Strategy Questions:

• "How would you approach identifying automation opportunities within a community bank's operations?" (Focus on stakeholder interviews, process mapping, and impact assessment).

• "Describe a time you had to balance a fast-paced development approach with strict quality or compliance requirements." (Highlight your process for ensuring quality and adherence to standards).

Company & Culture Questions:

• "What excites you about working at the intersection of AI, fintech, and banking?" (Showcase your understanding of Thread Bank's mission and the industry).

• "How do you ensure your technical solutions align with business goals and stakeholder needs?" (Demonstrate your ability to translate technical capabilities into business value).

Portfolio Presentation Strategy:

• Structure for Impact: Organize your portfolio by the type of impact (e.g., Efficiency Gains, Process Improvement, AI Innovation) or by project complexity.

• Tell a Story: For each project, clearly outline the problem, your role, the solution you designed and implemented, the tools used, and the quantifiable results.

• Demonstrate Technical Depth: Be prepared to walk through specific workflow logic in n8n or explain your prompt engineering approach.

• Address Challenges: Be transparent about any challenges faced and how you overcame them.

• Focus on Replicability: Highlight how your solutions are documented and maintainable, showing consideration for long-term operational success.

📝 Enhancement Note: Preparation should focus on demonstrating practical application of AI and automation skills within a business context, emphasizing quantifiable results and a strong understanding of operational processes and compliance.

📌 Application Steps

To apply for this AI Product Strategy and Automation Engineer position:

• Submit your application through the provided link on recruiting.paylocity.com.

• Tailor Your Resume: Highlight experience with AI, automation platforms (especially n8n), prompt engineering, process optimization, and any relevant fintech or banking experience. Quantify achievements with metrics wherever possible.

• Curate Your Portfolio: Prepare a concise portfolio showcasing 2-3 of your strongest projects. Focus on clear descriptions of the problem, your solution, the tools used, and the measurable impact. Include examples of workflow designs and prompt engineering.

• Practice Your Pitch: Be ready to articulate your experience and how it aligns with the role's requirements, especially your ability to "vibe code," think structurally, and drive projects from ideation to completion.

• Research Thread Bank: Understand their digital-first approach, their mission, and their position in the fintech landscape. Consider how your skills can contribute to their specific goals.

⚠️ 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.