Title: Customer AI Strategist Location: New York City, New York, United States Job Description: Customer AI Strategist – Enterprise Clients $150K–$180K Base + Bonus + Equity | AI SaaS | New York (Hybrid) A high-growth AI SaaS company is hiring a Customer AI Strategist to guide enterprise marketers through the next era of AI-driven brand performance. This role sits at the intersection of analytics, strategy, and client consulting—ideal for someone who loves turning complex data into clear strategies, frameworks, and business outcomes. If you’re energized by helping Fortune 500 brands transform how they operate in the AI era, this is a unique chance to influence senior stakeholders, shape best practices, and help build the future of AI-powered marketing. What You’ll Lead - Serve as a trusted advisor to senior marketing and strategy leaders at enterprise brands - Lead quarterly business reviews, executive-level insights, and performance recommendations - Translate data, platform metrics, and AI trends into actionable strategies and roadmaps - Build frameworks for AI marketing adoption and optimization - Identify patterns across clients and codify best practices, playbooks, and use cases - Partner with product and engineering to ensure customer feedback informs roadmap and evolution - Stay ahead of AI, SaaS, SEO, and mar-tech trends to guide clients and internal teams Who Thrives Here - 5+ years in client-facing, analytical, or customer advisory roles (SaaS, consulting, technical account management, strategy, or analytics) - Strong data fluency; comfortable working with analytics tools (Excel, SQL, BI dashboards) - Excellent communicator able to present confidently to executives and technical teams - Strategic thinker who can simplify complexity into persuasive storytelling - Skilled at managing multiple enterprise customers, competing priorities, and deadlines - Comfortable with ambiguity, fast-moving environments, and owning outcomes end-to-end Bonus Skills - Familiarity with prompt engineering or LLM behavior - Background in SEO, digital marketing, or campaign performance analytics - Experience in marketing operations, conversion optimization, or growth analytics Why This Opportunity - Steer AI transformation for the world’s largest brands - High-influence role with executive visibility and strategic ownership - Fast-growing, well-funded AI platform with massive market whitespace - Competitive compensation, bonus, and meaningful equity - Work alongside experienced mar-tech and SaaS leaders with a track record of successful exits - Hybrid work model with a collaborative team and strong customer-facing culture

Role Description We are seeking an experienced Quantitative Finance Subject Matter Expert to support the development, evaluation, and improvement of advanced Artificial Intelligence (AI) models. This is not a traditional Investment Banking position. Instead, you will apply your real-world expertise to evaluate complex AI-generated financial analyses, validate technical reasoning, identify inaccuracies, and help improve Large Language Models (LLMs) used within the finance industry. We are looking for professionals who are recognized as experts within their field—individuals capable of evaluating financial reasoning with the same rigor expected in investment banking, corporate finance, transaction advisory, and institutional finance environments. Domain Expertise - Quantitative Finance - Financial Engineering - Financial Mathematics - Derivatives - Risk Modeling - Stochastic Calculus - Portfolio Optimization - Model Validation - Quantitative Research What Makes a Strong Candidate - Built pricing models - Validated quantitative models - Published quantitative research Key Responsibilities - Evaluate AI-generated financial analyses for technical accuracy, completeness, and quality of reasoning. - Identify factual inaccuracies, unsupported assumptions, logical inconsistencies, and calculation errors. - Review financial models, valuation methodologies, and investment analyses produced by AI. - Create, review, and refine finance-related prompts, benchmark responses, and evaluation datasets. - Apply detailed annotation guidelines consistently while maintaining exceptional quality standards. - Provide structured, actionable feedback that improves AI model performance. - Collaborate with Project Managers, Quality Assurance teams, and AI Researchers to improve evaluation methodologies. - Maintain productivity and quality expectations while working independently in a remote environment. Required Qualifications - Significant practical experience in Investment Banking, Corporate Finance, or Transaction Advisory. - Strong knowledge of U.S. financial markets and corporate finance principles. - Exceptional analytical and critical thinking skills. - Advanced financial modeling and valuation capabilities. - Excellent written English communication skills. - Ability to independently evaluate complex financial analyses and articulate technical feedback. - Strong attention to detail and commitment to quality. Preferred Qualifications - One or more of the following is highly desirable: - Professional Certifications - CFA (Completed or Candidate) - CPA - MBA (Finance) - Chartered Accountant (CA) Professional Background - Investment Banking - Big Four Transaction Advisory - Valuation Advisory - Private Equity - Venture Capital - Corporate Development - Strategic Finance Financial Platforms - Bloomberg Terminal - Capital IQ - FactSet - Refinitiv - PitchBook AI Experience - Previous experience with any of the following is highly desirable: - AI Model Evaluation - Reinforcement Learning from Human Feedback (RLHF) - Prompt Engineering - AI Annotation - Large Language Model (LLM) Evaluation - AI Quality Assurance - Benchmark Dataset Development U.S. Market Knowledge - Candidates should demonstrate a strong working knowledge of: - SEC Filings - Public Equities - Financial Statements - Valuation Methodologies - Corporate Earnings - Macroeconomic Indicators - Investment Analysis - Capital Markets - Financial Ratios - Portfolio Concepts - Market Trends What Makes a Strong Candidate - Successful candidates are often professionals who have: - Led complex financial analyses or valuation engagements. - Reviewed or approved the work of other finance professionals. - Supported or led high-profile transactions. - Presented recommendations to executive leadership, investment committees, or clients. - Built financial models used in strategic business decisions. - Applied expert judgment to evaluate complex financial scenarios. Trial Gig (Required) As part of the selection process, all shortlisted candidates must successfully complete a Trial Gig designed to evaluate technical finance expertise, analytical reasoning, written communication, attention to detail, and the ability to assess AI-generated financial responses. - Successful completion of the Trial Gig is required before joining the production project. - Candidates who meet the required quality standards will receive an offer to join the project and will be compensated for successfully completing the Trial Gig. - Candidates who do not meet the required quality standards will not move forward on this project and will not receive compensation for the Trial Gig. - Strong candidates who are not selected may remain in our talent network and be considered for future AI evaluation projects that better align with their expertise.

Role Description We are seeking an experienced Quantitative Finance Subject Matter Expert to support the development, evaluation, and improvement of advanced Artificial Intelligence (AI) models. This is not a traditional Investment Banking position. Instead, you will apply your real-world expertise to evaluate complex AI-generated financial analyses, validate technical reasoning, identify inaccuracies, and help improve Large Language Models (LLMs) used within the finance industry. We are looking for professionals who are recognized as experts within their field—individuals capable of evaluating financial reasoning with the same rigor expected in investment banking, corporate finance, transaction advisory, and institutional finance environments. Qualifications - Significant practical experience in Investment Banking, Corporate Finance, or Transaction Advisory. - Strong knowledge of U.S. financial markets and corporate finance principles. - Exceptional analytical and critical thinking skills. - Advanced financial modeling and valuation capabilities. - Excellent written English communication skills. - Ability to independently evaluate complex financial analyses and articulate technical feedback. - Strong attention to detail and commitment to quality. Requirements - Candidates should demonstrate expert-level knowledge in one or more of the following: - Quantitative Finance - Financial Engineering - Financial Mathematics - Derivatives - Risk Modeling - Stochastic Calculus - Portfolio Optimization - Model Validation - Quantitative Research - Previous experience with any of the following is highly desirable: - AI Model Evaluation - Reinforcement Learning from Human Feedback (RLHF) - Prompt Engineering - AI Annotation - Large Language Model (LLM) Evaluation - AI Quality Assurance - Benchmark Dataset Development - U.S. Market Knowledge: Candidates should demonstrate a strong working knowledge of: - SEC Filings - Public Equities - Financial Statements - Valuation Methodologies - Corporate Earnings - Macroeconomic Indicators - Investment Analysis - Capital Markets - Financial Ratios - Portfolio Concepts - Market Trends Benefits - Compensation: United States: $55–$60 USD/hour - Exceptional candidates may be considered for higher compensation based on experience and project requirements. Trial Gig (Required) As part of the selection process, all shortlisted candidates must successfully complete a Trial Gig designed to evaluate technical finance expertise, analytical reasoning, written communication, attention to detail, and the ability to assess AI-generated financial responses. Please note: - Successful completion of the Trial Gig is required before joining the production project. - Candidates who meet the required quality standards will receive an offer to join the project and will be compensated for successfully completing the Trial Gig. - Candidates who do not meet the required quality standards will not move forward on this project and will not receive compensation for the Trial Gig. - Strong candidates who are not selected may remain in our talent network and be considered for future AI evaluation projects that better align with their expertise.

• Lead one of three delivery lanes of AI initiatives at Redcare: Forward deployed AI engineering. • Sitting in between citizen AI supported by AI platform and full-fledged AI products. • You have the opportunity to bring or hire your own team. • Decentral work mode where individual contributors get deployed into the business domain teams. • Need to create space for knowledge sharing, learning and belonging for the ICs in the team. • Support your team members in driving a transformation in the business by active stakeholder management, creating sharing understanding and removing obstacles. • Work 50% hands-on overseeing and driving automation tasks. • Own and drive initiatives of standardization / templates / skills in agentic setup to accelerate onboarding of new business domains.