AI/ML Product Strategy Lead

📍 Job Overview

Job Title: AI/ML Product Strategy Lead

Company: Arcesium LLC

Location: New York, NY, USA

Job Type: Full-Time

Category: Product Strategy / Go-to-Market Operations

Date Posted: 2026-09-14

Experience Level: 5-10 Years

Remote Status: Hybrid

🚀 Role Summary

• Drive the go-to-market strategy for Arcesium's agentic AI platform, translating client and market feedback into actionable product roadmap inputs.

• Act as a crucial link between client insights, market dynamics, and the product development lifecycle for AI/ML initiatives.

• Foster strong cross-functional collaboration with Product, Engineering, Sales, Marketing, and Communications to align strategic objectives and execution.

• Develop and articulate compelling use cases and launch narratives for AI features to drive adoption and market penetration.

• Provide strategic AI-specific input for executive-level materials, including board and management team presentations.

📝 Enhancement Note: This role is positioned at the intersection of Product Strategy, Market Intelligence, and Go-to-Market (GTM) execution, with a specific focus on AI/ML products within the financial technology sector. It requires a strategic thinker who can bridge technical capabilities with market needs and drive commercial success for AI initiatives. The emphasis on "agentic AI" suggests a focus on advanced AI systems capable of autonomous action and decision-making.

📈 Primary Responsibilities

• Market Intelligence & Competitive Analysis: Maintain a deep and current understanding of AI adoption trends, competitive landscapes, and emerging technologies within financial services to identify defensible advantages for Arcesium clients.

• Voice of the Customer & Product Input: Partner with Sales and Marketing teams to systematically gather, analyze, and synthesize client feedback, market signals, and competitive intelligence to inform and prioritize the AI product roadmap.

• Cross-Functional Influence & Alignment: Build and maintain strong relationships with Product Management, Engineering, Sales, Marketing, and Communications teams, influencing prioritization and strategy through data-driven insights and credible recommendations.

• Go-to-Market Strategy & Execution: Develop segment-specific agentic AI use cases and craft compelling go-to-market narratives for new AI feature releases and client programs, ensuring alignment with sales enablement and marketing campaigns.

• Executive & Board Communications: Prepare and deliver AI-specific strategic input, including roadmap details, client success evidence, and competitive context, for high-level board and management team materials.

• Thought Leadership & Content Collaboration: Collaborate with the Communications function to supply subject-matter expertise and review for thought leadership content, including blog posts, bylines, and press materials, focusing on agentic AI and AI governance.

• Client & Industry Engagement: Represent Arcesium at industry events, engage with analyst firms, and build strategic relationships with AI technology partners and vendors to enhance market presence and gather external insights.

📝 Enhancement Note: The responsibilities highlight a strategic, outward-facing role that requires deep market understanding and the ability to translate that into tangible product and go-to-market strategies. It emphasizes influence without direct authority, a common characteristic of senior strategy roles.

🎓 Skills & Qualifications

Education: A bachelor’s degree is required. Advanced degrees in relevant fields may be considered a plus.

Experience: 7+ years of experience in product management, go-to-market strategy, corporate strategy, or a closely related field. Ideally, candidates will have prior exposure to AI/ML products or platforms.

Required Skills:

• Product Management & Strategy: Proven ability to define product strategy, develop roadmaps, and translate market needs into actionable product requirements.

• Go-to-Market (GTM) Strategy: Expertise in developing and executing comprehensive GTM plans, including use case definition, narrative development, and sales enablement.

• AI/ML Understanding: A solid working knowledge of AI/ML concepts, capabilities, and applications, particularly within a B2B enterprise context.

• Market Intelligence & Competitive Analysis: Ability to gather, synthesize, and analyze market data, competitive intelligence, and client feedback to identify opportunities and threats.

• Cross-Functional Influence: Demonstrated skill in influencing senior leadership and diverse teams (Product, Engineering, Sales, Marketing) without direct authority.

• Communication Skills: Exceptional written and verbal communication abilities, with the capacity to articulate complex technical and business concepts to varied audiences.

• Problem Structuring & Data Conviction: Comfort with ambiguity, ability to structure unstructured problems, and a data-driven approach to building conviction and making recommendations.

• Financial Services Operations Acumen: A strong understanding of financial services operations (e.g., accounting, treasury, reporting, reconciliation) is highly preferred.

• Enterprise Technology Familiarity: Experience or understanding of enterprise technology solutions and their implementation within large organizations.

Preferred Skills:

• Experience partnering directly with Sales, Marketing, and Communications functions.

• Familiarity with agentic AI platforms and their strategic implications.

• Experience in thought leadership development and industry engagement (e.g., speaking at conferences, analyst briefings).

• Advanced degree in a relevant field (e.g., MBA, Computer Science, Engineering).

📝 Enhancement Note: The emphasis on "7+ years of experience" suggests a mid-to-senior level role. The requirement for a "working understanding of financial services operations" is critical for rapid ramp-up and effective strategy development within Arcesium's client base. The "comfort with ambiguity" and "build conviction through data" points to a need for analytical rigor and a proactive, self-starter mindset.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Strategic Frameworks: Examples showcasing the development and application of strategic frameworks for product prioritization, market entry, or competitive positioning, particularly for technology products.

• Use Case Development: Demonstrated ability to define and articulate compelling use cases for complex technologies, showing how they solve specific business problems and deliver tangible value.

• Market Analysis & Insights: Evidence of market research, competitive analysis, and synthesis of findings into actionable strategic recommendations.

• Cross-Functional Collaboration Documentation: Examples illustrating how you've worked with Product, Engineering, Sales, and Marketing to align on strategy and drive execution.

Process Documentation:

• Strategic Planning Process: Documentation or case studies detailing your approach to strategic planning, roadmap development, and influencing product direction based on market feedback.

• Go-to-Market Process: Examples of developing and executing go-to-market plans, including narrative creation, sales enablement content, and launch strategies for new products or features.

• Feedback Synthesis Process: A clear methodology for gathering, analyzing, and translating diverse feedback sources (client, market, sales) into product requirements and strategic initiatives.

📝 Enhancement Note: While a formal portfolio isn't explicitly requested, the role's responsibilities strongly imply the need for candidates to be able to demonstrate their strategic thinking, market analysis, and cross-functional influence through past work. Candidates should be prepared to discuss specific examples of their contributions to product strategy and go-to-market execution, especially concerning technology products.

💵 Compensation & Benefits

Salary Range: $200,000 - $230,000 annually (Base Salary)

Benefits:

• Comprehensive medical coverage.

• Prescription drug coverage.

• 401k contribution matching.

• Year-end bonus (guaranteed in the first year of hire).

Working Hours: The job description implies a standard 40-hour work week, consistent with a full-time professional role. Given the hybrid nature, flexibility may be expected in coordinating with teams across different time zones and meeting business needs.

📝 Enhancement Note: The salary range provided is for base compensation. The variable compensation (year-end bonus) is guaranteed for the first year, which is a significant incentive. The benefits package is standard for a professional role in the US financial technology sector. The salary is estimated based on the provided range for the New York metropolitan area, considering the experience level (7+ years) and the specialized nature of AI/ML product strategy in FinTech.

🎯 Team & Company Context

🏢 Company Culture

Industry: Financial Technology (FinTech). Arcesium operates within a dynamic and rapidly evolving sector, characterized by innovation, data-driven decision-making, and a focus on solving complex client challenges.

Company Size: While not explicitly stated, Arcesium is a global firm with a significant market presence, suggesting a medium to large enterprise size, likely with hundreds to a few thousand employees. This scale offers opportunities for impact while maintaining structured processes.

Founded: Founded in 2014, Arcesium has a relatively young but established history, positioning itself as an innovator in the FinTech space, leveraging its expertise to address sophisticated data challenges for financial institutions.

Team Structure:

• This role is inherently cross-functional, requiring close collaboration with dedicated Product Management, Engineering, Sales, Marketing, and Communications teams.

• The AI/ML Product Strategy Lead will likely operate within a strategic or product-aligned function, reporting to a senior leader responsible for AI product strategy or GTM.

• Collaboration will extend across various business units and client-facing teams to ensure alignment between product capabilities and market demand. Methodology:

• Data-Driven Decision Making: Arcesium emphasizes leveraging data to solve complex problems and drive transformational business outcomes. This role will be expected to apply this principle to AI strategy and market analysis.

• Proactive Ownership & Intellectual Curiosity: The company culture values individuals who take initiative, explore new ideas, and continuously learn, especially in fast-paced areas like AI/ML.

• Collaboration & Empowerment: Arcesium fosters an environment where employees are empowered to contribute meaningfully from day one and are encouraged to collaborate with colleagues to accelerate professional development and achieve shared goals.

Company Website: https://www.arcesium.com/

📝 Enhancement Note: Arcesium's focus on "solving complex data-driven challenges" and "transformational business outcomes" indicates a results-oriented culture. The emphasis on innovation in FinTech means this role will be at the forefront of technological advancements. The company's founding date suggests a blend of startup agility with established market presence.

📈 Career & Growth Analysis

Operations Career Level: This is a senior-level strategic role, often referred to as a "Lead" or "Principal" position, requiring significant experience in product strategy and GTM. It sits above traditional product management and below executive leadership, focusing on shaping the strategic direction of AI products.

Reporting Structure: The AI/ML Product Strategy Lead will likely report to a Director or VP level executive within Product, Strategy, or Go-to-Market functions. They will work closely with peer leads in Market Intelligence and Communications, as well as functional heads in Product, Engineering, Sales, and Marketing.

Operations Impact: The role has a direct impact on Arcesium's revenue growth and market leadership in AI/ML. By shaping the AI product roadmap and go-to-market strategy, the Lead influences which AI capabilities are developed, how they are positioned, and how effectively they are adopted by clients, ultimately driving commercial success and client value.

Growth Opportunities:

• Leadership in AI Product Strategy: Potential to grow into a Head of AI Product Strategy or similar leadership role, overseeing broader AI product portfolios and strategic initiatives.

• Deepening FinTech Expertise: Opportunity to become a recognized expert in AI/ML applications within the financial services industry, potentially leading to broader strategic advisory roles.

• Cross-Functional Leadership Development: Exposure to and influence over multiple departments (Product, Eng, Sales, Marketing, Comms) provides a strong foundation for future leadership roles in general management or broader GTM leadership.

• Specialization in Agentic AI: Becoming a subject matter expert in the burgeoning field of agentic AI, a high-demand and future-forward specialization.

📝 Enhancement Note: The "Lead" title signifies a senior individual contributor role with significant strategic influence. Growth potential is strong, leaning towards leadership in specialized AI product strategy or broader strategic advisory within FinTech.

🌐 Work Environment

Office Type: Hybrid. This indicates a mix of remote work and in-office presence, likely requiring the individual to be present in the New York office for a portion of the week to facilitate in-person collaboration, team meetings, and client engagements.

Office Location(s): New York, NY, USA. This places the role in a major global financial and technology hub, offering access to talent, industry events, and a vibrant professional network.

Workspace Context:

• Collaborative Environment: The hybrid model and emphasis on cross-functional influence suggest a dynamic workspace where collaboration is key. Expect regular team syncs, brainstorming sessions, and cross-departmental project work.

• Technology & Tools: As a FinTech company focused on AI/ML, Arcesium likely provides access to robust analytical tools, collaboration platforms, and potentially specialized AI development environments, though the focus here is strategy, not development.

• Team Interaction: The role requires frequent interaction with various stakeholders across different departments, fostering a broad network and understanding of Arcesium's operations.

Work Schedule: While a standard 40-hour work week is implied, the nature of strategic roles in FinTech and AI often involves flexibility to meet project deadlines, client needs, and market opportunities. The hybrid arrangement allows for some personal schedule management.

📝 Enhancement Note: The hybrid model in a major city like New York suggests a professional environment that balances flexibility with the need for in-person collaboration, crucial for strategic alignment and relationship building.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review applications to assess alignment with core qualifications. Expect questions about experience in product strategy, AI/ML, and financial services.

• Hiring Manager/Team Interviews: Deeper dives into experience with product management, GTM strategy, market analysis, and cross-functional influence. Case studies or scenario-based questions related to AI product strategy and market challenges are likely.

• Cross-Functional Interviews: Meetings with key stakeholders from Product, Engineering, Sales, and Marketing to assess collaboration style, communication effectiveness, and strategic alignment.

• Executive/Senior Leadership Interview: A final discussion with a senior leader to evaluate strategic vision, leadership potential, and cultural fit.

Portfolio Review Tips:

• Strategic Impact Focus: Showcase examples where your strategic insights led to tangible business outcomes, product success, or market advantage.

• Data-Driven Storytelling: Present market analysis, client feedback synthesis, and competitive intelligence with clear data points and a narrative that explains your conclusions and recommendations.

• Cross-Functional Collaboration: Highlight instances where you successfully influenced diverse teams to adopt a strategy or launch a product, emphasizing your communication and negotiation skills.

• AI/ML Relevance: If possible, include examples related to technology products, AI/ML, or complex enterprise solutions to demonstrate your understanding of the domain.

• Problem-Solving Clarity: Be prepared to walk through how you approached unstructured problems, broke them down, and arrived at solutions, emphasizing your analytical process.

Challenge Preparation:

• AI Product Strategy Case Study: Be ready to analyze a hypothetical AI product scenario, define target markets, propose a GTM strategy, and outline key roadmap priorities.

• Market Analysis Exercise: Prepare to analyze a specific market trend or competitor and articulate its implications for Arcesium's AI offerings.

• Stakeholder Alignment Scenario: Practice articulating a strategic recommendation and explaining how you would gain buy-in from different functional teams (e.g., Engineering, Sales).

📝 Enhancement Note: Candidates should prepare to articulate their strategic thinking process, demonstrate their ability to influence, and showcase their understanding of AI/ML within the financial services context. A strong portfolio, even if not formally submitted, will be built through the candidate's ability to vividly describe past achievements and strategic contributions during interviews.

🛠 Tools & Technology Stack

Primary Tools:

• Product Management Platforms: Tools for roadmap planning, feature prioritization, and backlog management (e.g., Jira, Aha!, Productboard).

• Collaboration & Communication Tools: Platforms for team communication, document sharing, and virtual meetings (e.g., Slack, Microsoft Teams, Zoom, Google Workspace).

• CRM Systems: Understanding of CRM platforms for sales and client data insights (e.g., Salesforce), enabling better GTM strategy.

• Market Intelligence Platforms: Tools for competitive analysis, market research, and trend identification (e.g., Gartner, Forrester, specialized FinTech analysis tools).

Analytics & Reporting:

• Data Analysis Tools: Proficiency in tools for analyzing data to support strategic decisions (e.g., Excel, Tableau, Power BI, SQL - for understanding data, not necessarily deep analysis).

• Presentation Software: Tools for creating compelling executive-level presentations (e.g., PowerPoint, Google Slides).

CRM & Automation:

• Salesforce (or similar): Familiarity with CRM data to understand client needs and sales pipeline dynamics.

• Marketing Automation Platforms (e.g., Marketo, HubSpot): Understanding how these tools support GTM initiatives.

📝 Enhancement Note: While this role is strategy-focused, familiarity with the tools used by Product, Sales, and Marketing teams is crucial for effective cross-functional collaboration and for understanding how strategies translate into execution. The emphasis will be on using insights from these tools, rather than direct operational management of them.

👥 Team Culture & Values

Operations Values:

• Data-Driven Decision Making: Emphasizing rigorous analysis and client insights to guide strategic decisions and product prioritization.

• Intellectual Curiosity & Proactive Ownership: Encouraging team members to explore new ideas, challenge assumptions, and take initiative in driving outcomes.

• Collaboration & Partnership: Fostering an environment of mutual respect and shared goals, where cross-functional teams work together to achieve success.

• Client-Centricity: A commitment to understanding and solving complex client challenges, ensuring that product development and GTM strategies deliver significant value.

• Innovation & Adaptability: Embracing change and continuously seeking new ways to leverage technology, particularly AI/ML, to drive transformation in financial services.

Collaboration Style:

• Influence through Insight: The preferred style is to build conviction and drive alignment through well-researched data, clear articulation of value, and credible recommendations, rather than positional authority.

• Cross-Functional Partnership: Active engagement with Product, Engineering, Sales, Marketing, and Communications teams to ensure a unified approach to AI product strategy and go-to-market execution.

• Open Feedback Culture: A willingness to share insights, provide constructive feedback, and engage in healthy debate to refine strategies and improve outcomes.

📝 Enhancement Note: The cultural values align with a high-performing, strategic team operating in a fast-paced FinTech environment. The emphasis on collaboration and data-driven decision-making is central to the role's success.

⚡ Challenges & Growth Opportunities

Challenges:

• Bridging Technical & Business Gaps: Effectively translating complex AI/ML capabilities into understandable business value propositions and actionable product strategies for diverse stakeholders.

• Navigating Ambiguity in AI: The rapidly evolving nature of AI/ML means strategies must be adaptable, and candidates must be comfortable with uncertainty and the need for continuous learning.

• Influencing Without Authority: Successfully driving product roadmap decisions and GTM strategies across multiple departments requires strong influencing and negotiation skills.

• Synthesizing Diverse Feedback: Integrating input from clients, sales, marketing, and market research into a cohesive and prioritized product strategy can be complex.

• Competitive Landscape: Staying ahead of rapid advancements and aggressive competition in the AI/ML FinTech space requires constant vigilance and strategic foresight.

Learning & Development Opportunities:

• Deepening AI/ML Expertise: Opportunities to engage with cutting-edge AI technologies and specialized applications within financial services.

• Strategic FinTech Acumen: Becoming a recognized authority on AI strategy and its application in the financial industry.

• Leadership Development: Gaining experience in influencing senior leadership and managing strategic initiatives across a complex organization.

• Industry Engagement: Representing Arcesium at industry events and with analyst firms, building a personal brand and professional network.

• Mentorship: Potential for mentorship from senior leaders within Arcesium, guiding career progression in strategy and product leadership.

📝 Enhancement Note: The challenges are inherent to a senior strategy role in a cutting-edge technology field. The growth opportunities are significant, focusing on specialization, leadership, and industry recognition.

💡 Interview Preparation

Strategy Questions:

• "How would you approach developing a go-to-market strategy for a new AI feature aimed at improving financial reconciliation processes?" (Focus on market segmentation, value proposition, sales enablement, and launch narrative.)

• "Describe a time you synthesized complex market feedback into concrete product roadmap priorities. What was your process, and what was the outcome?" (Emphasize data synthesis, prioritization framework, and influencing stakeholders.)

• "Given the rapid evolution of AI, how do you ensure a product strategy remains relevant and defensible over the long term?" (Look for strategies related to continuous market monitoring, modular architecture, and agile roadmap adjustments.) Company & Culture Questions:

• "Why Arcesium, and what specifically about our AI/ML product strategy interests you?" (Demonstrate research into Arcesium's business, AI initiatives, and company values.)

• "How do you build trust and influence with engineering and sales teams when advocating for a particular product direction?" (Highlight collaborative approaches, data-backed arguments, and understanding of functional priorities.)

• "Describe your experience working with marketing and communications teams. How do you ensure consistent messaging and effective GTM execution?" (Focus on partnership, alignment, and feedback loops.) Portfolio Presentation Strategy:

• Structure: Organize your examples logically, perhaps by strategic initiative, product type, or impact area. Start with the business challenge, detail your approach (market analysis, strategy development), explain your actions (influence, collaboration), and conclude with the quantifiable results and lessons learned.

• Quantify Impact: Wherever possible, use metrics (e.g., revenue growth, market share increase, adoption rates, efficiency gains) to demonstrate the impact of your strategic contributions.

• Focus on "Why" and "How": Clearly articulate your strategic thinking process ("why") and your methods for execution and influence ("how").

• Tailor to Arcesium: Connect your experience and examples to Arcesium's business, its clients, and its stated focus on AI/ML in FinTech.

📝 Enhancement Note: Interview preparation should focus on demonstrating strategic thinking, strong communication, and a data-driven approach. Candidates need to showcase their ability to translate complex technical concepts into business value and effectively influence cross-functional teams.

📌 Application Steps

To apply for this AI/ML Product Strategy Lead position:

• Submit your application through the Arcesium LLC job portal via the provided Greenhouse link.

• Resume Optimization: Tailor your resume to highlight experience in product strategy, go-to-market execution, AI/ML, and financial services operations. Use keywords from the job description and quantify achievements with metrics.

• Portfolio Preparation: Mentally prepare to discuss specific examples of your strategic work, market analysis, and cross-functional influence. Focus on case studies that demonstrate your ability to drive product success and GTM outcomes.

• Company Research: Thoroughly research Arcesium's current AI/ML offerings, target markets, competitive positioning, and company culture to articulate your interest and fit.

• Interview Practice: Practice answering common strategy, leadership, and behavioral interview questions, focusing on clear articulation of your thought process and past successes.

⚠️ 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.