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Company Description Meridian brings context-aware AI agents to industries that have traditionally been overlooked in technology adoption such as supply chain, manufacturing, staffing and more. The company works closely with sector experts to automate operations, enhance decision-making, and unlock new efficiencies through applied AI. Meridian is backed by leading investors, including Sunflower Capital, Pear VC, SV Angel, and angels from Anthropic. Team members join a fast-moving environment where they can shape products from the ground up and see their work deployed directly in critical industry workflows. Role Description The GTM role at Meridian is a full-time, on-site position based in New York, NY, focused on developing and executing go-to-market strategies. Day-to-day responsibilities include identifying target customer segments, refining value propositions, and collaborating with product and engineering teams to align offerings with market needs. The role involves managing sales pipelines, conducting customer discovery calls, and building relationships with key stakeholders to drive adoption and revenue. The GTM professional will create and iterate on messaging, sales collateral, and enablement materials, while analyzing performance data to optimize campaigns and outreach efforts. This position requires close coordination with leadership to prioritize opportunities, report on progress, and help shape Meridian’s presence in emerging AI markets. Qualifications • Proven experience in go-to-market strategy, product positioning, and market segmentation for B2B technology or AI-driven products., • Background in sales, business development, or customer-facing roles, with the ability to manage pipelines and convert leads into long-term customers., • Strong analytical and research skills, including the ability to gather market insights, interpret data, and translate findings into actionable GTM plans., • Excellent communication, presentation, and storytelling capabilities to craft clear, compelling messaging and collateral for diverse audiences., • Comfort working cross-functionally with product, engineering, and marketing teams, and contributing to fast-moving startup environments., • Demonstrated ability to work on-site in New York, NY, with a high level of ownership, adaptability, and collaborative mindset., • Experience in AI, data products, or selling into traditional or underdigitized industries is a plus., • Bachelor’s degree in Business, Marketing, Economics, or a related field, or equivalent practical experience.

WE ARE HIRING: MANAGER, REVENUE GROWTH MANAGEMENT (RGM) Location: Perth Amboy, NJ (On-site) Reporting to: Chief Executive Officer Join Tropical Cheese Industries, a leader in the Hispanic food industry for over 40 years, as our first Manager, Revenue Growth Management (RGM) Summary The RGM Manager owns how Tropical Cheese prices, promotes and packages its portfolio across all channels, including retail, DSD, foodservice and distributors. Key Responsibilities Strategy, Governance and Leadership • Build the annual pricing, promotion and trade spend budget, set clear revenue and margin targets, and track performance against them, • Establish and run a monthly revenue review with Sales, Finance and Marketing leadership, • Define and enforce pricing and trade guardrails by retailer and channel, alongside working closely with retailers to enforce these, • Collaborate with Sales, Finance, Marketing and Operations, and train the sales team on pricing, promotion and trade tools and guidelines, • Lead and develop one direct report (RGM Analyst): set priorities, coach on analytical and commercial judgment, and build the capability of the RGM function, • Other duties as required by the business Pricing and Price-Pack Architecture • Own the list price architecture across the portfolio; recommend, size and sequence all price changes by brand, pack, channel and customer, • Lead price-pack architecture design: pack sizes, key price points, price tiers and good-better-best laddering by channel, • Recommend portfolio and mix actions that shift volume toward higher-margin packs, brands and channels Promotion and Trade Spend • Own promotional strategy and the promotion calendar recommendation by retailer, • Evaluate promotional ROI by customer, brand and event, • Manage trade spend against budget; partner with Finance on accrual accuracy and deduction resolution Key Skills & Qualifications • Advanced Excel proficiency (required) – scenario modeling, large data sets, and the ability to build clean, auditable tools from scratch, • Power BI or Tableau (required), • Experience with syndicated and retailer data: Circana, NielsenIQ, and retailer portals (Walmart Scintilla, and similar), • Experience with ERP systems (Oracle NetSuite or equivalent), • Demonstrated ownership of pricing, promotion or trade investment decisions in a CPG or food manufacturing environment, • Strong P&L and margin literacy: gross-to-net, trade spend, customer profitability, elasticity and ROI Education and/or Experience • Bachelor’s degree in Business, Finance, Economics, Analytics or a related field preferred; equivalent practical experience will be considered, • Minimum 4-6 years of commercial experience in CPG or food manufacturing, including 2+ years directly applied to revenue growth management, pricing, trade strategy, category management or commercial finance, • Experience in Hispanic foods, dairy, deli / perimeter or other perishable categories strongly preferred, • Direct store delivery (DSD) experience strongly preferred What We Offer • Competitive salary + Performance Bonus, • Medical, Dental, Vision, and Life Insurance, • 401(k) with company match, • Paid time off, • Paid holidays Equal Employment Opportunity (EEO): Tropical Cheese Industries, LLC. is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

About Masterworks Masterworks is a fintech platform that allows anyone to invest in SEC-qualified shares of multi-million dollar paintings by names like Banksy, Basquiat, and Picasso. We have built a portfolio of over $1.2 billion in world-class artworks, introducing over 1 million individuals to the $2.2 trillion art market. Masterworks has been covered by The New York Times, CNBC, The Wall Street Journal, and the Financial Times, and was recognized as one of the Top 50 Startups in the US by LinkedIn. In 2021, we achieved unicorn status with a $110M Series A at a valuation exceeding $1 billion. We are based at 1 World Trade Center in New York City's Financial District. Why Masterworks? If you answered "Yes" to any of the below, we'd love to hear from you! • Are you passionate about democratizing alternative investments?, • Are you interested in working for a disruptive start-up, focused on a new asset class?, • Do you enjoy meaningful work that has a noticeable impact on business performance? Position Overview We are seeking a VP of Quantitative Research to lead the development and prediction of trends in the overall art market, including index construction, predictive analytics, and Machine Learning. Team Overview The research team consists of the following functions: • Data Infrastructure & Reporting - responsible for owning data pipelines, database architecture, and analytical reporting., • Data Quality & Operations - owns the integrity of the underlying auction dataset, including repeat-sale pair construction, currency conversion logic, buyer's premium separation, and auction house coverage QA., • Quantitative Modeling & ML - consists of index construction, artist ranking models, momentum and acceleration signals, and predictive feature development. This team primarily drives a quantitative counterpart to the Art Acquisitions team and owns the model layer that feeds directly into IC recommendations. Responsibilities Overview We are ideally seeking an experienced, high-performing individual who is highly curious about the art market, worked in quantitative research at a traditional asset manager, and has led diverse teams. • Help evolve the Masterworks Contemporary Art Index methodology - including repeat-sales regression, hedonic pricing, and return-bounds filtering - in a form suitable for CFTC review and third-party licensing, • Lead development of artist-level predictive models, including ML feature engineering, F1-score optimization, and momentum/acceleration signal identification, • Help translate quantitative research into actionable acquisition recommendations alongside the Art Acquisitions team Requirements And Preferred Experience • 10+ years in quantitative research, data science, or financial economics - ideally with exposure to alternative assets, structured products, or index construction, • Hands-on experience with repeat-sales regression, hedonic pricing, or similar asset valuation methodologies strongly preferred, • Proficiency in Python and / or R; comfort with SQL and large transactional datasets, • Deep intellectual curiosity about what drives returns in illiquid, infrequently-traded asset markets Measurements Of Success In First 90 Days • Assist in improving / adapting current Masterworks index methodologies to support derivative investment products, • Augment existing model through feature enrichment, leading to increased F1-score, • Develop 2 - 3 models to utilize in order to better understand trends in artists markets, • Identify investment metrics that can be applied to artists markets to identify momentum or accelerating markets, • Aid in the execution of backend development for analytics and business objectives Additional Requirements • Must be able to work in the NYC office 5 days per week, • Must be eligible to work in the US Benefits At Masterworks • Daily catered lunches and free admission to art museums and galleries, • Health, dental, and vision coverage with FSA options, • PTO, company holidays, paid parental leave, and 401k, • Happy hours, company outings, and more!

AssistRx is a specialty pharmacy hub services company that manages therapy initiation and patient access programs for pharmaceutical manufacturers. The company's flagship platform, iAssist, integrates at the point of prescribing and connects patients, providers, payors, and manufacturers across complex specialty therapy programs. Welsh, Carson, Anderson & Stowe acquired AssistRx in February 2024, and the company has grown significantly, supporting a broad portfolio of programs across therapeutic areas including oncology, immunology, rare disease, and obesity. POSITION SUMMARY The Data Scientist, ITA will be a primary analytical contributor within a small, high-performance team. Working directly alongside the Director / VP and two peer Data Scientists, this individual will own the design and execution of analytical models, generate program insights across key KPI families, and help build the client-facing outputs — pilot QBR materials, trend narratives, analytical summaries, prototype of insight-focused dashboarding — that define the ITA value proposition. The role requires a combination of technical depth in SQL and Python, working familiarity with statistical methods applicable to program performance analysis, and an orientation toward clear, audience-appropriate communication. Experience in pharma, pharma consulting, at a health insurer, or at a PBM is required: this work depends on understanding how specialty programs function, how manufacturers define success, and how data from hub operations connects to the broader access and reimbursement landscape. KEY RESPONSIBILITIES Analytical Execution • Design and execute ad hoc and recurring analyses for ITA client engagements, covering six defined families of KPIs, • Build and maintain analytical models within the six KPI families — from patient outcomes through data quality — ensuring consistent definitions, reproducible methodology, and appropriate statistical rigor, • Develop cohort analyses, funnel decompositions, survival curves, regression models, and distribution-based performance metrics that surface actionable insights within program data, • Identify trends, anomalies, and comparative performance differentials across programs, payors, geographies, and time periods; frame findings as hypotheses with supporting evidence Client-Facing Output Development • Contribute to quarterly business review (QBR) preparation, including data pulls, visualization development, and narrative drafting under the direction of the Director / VP, • Produce clean, client-ready analytical exhibits — charts, tables, and written summaries — formatted for manufacturer audiences including market access leadership and patient services teams, • Participate in select client meetings as a technical resource; communicate methodology and findings clearly to non-technical stakeholders Productization & Documentation • Define analytical specifications and prototype outputs for validated insights; partner with the dedicated BI and report development team to translate ITA analytical work into productized ThoughtSpot and Power BI dashboards — ITA owns the logic, acceptance criteria, and narrative framing; the report development team handles production build, • Maintain clear documentation of analytical methodologies, data transformations, and code to support reproducibility and team knowledge management, • Surface upstream data quality issues that affect insight reliability; partner with data governance teams on remediation Continuous Improvement • Contribute to the evolution of the ITA analytical framework as new client engagements reveal novel questions and additional KPI families emerge, • Stay current on emerging methods in healthcare analytics, specialty pharmacy data, and applied machine learning relevant to program performance and patient journey analysis REQUIRED QUALIFICATIONS • Approximately 5 years of experience in healthcare analytics, with direct experience in one or more of the following: pharmaceutical manufacturer (commercial, market access, or patient services analytics), pharma consulting, health insurer, or pharmacy benefit manager (PBM), • Strong proficiency in SQL; experience querying and manipulating data in cloud data warehouse environments (Snowflake preferred), • Python or R required; Python preferred (pandas, numpy, scipy, and scikit-learn), • Working knowledge of statistical methods applicable to program performance analysis: cohort analysis, survival analysis, funnel decomposition, regression modeling, distribution-based metrics, and experimental design and A/B testing frameworks, • Experience producing structured, audience-ready analytical outputs — not just raw analyses; strong attention to how findings are communicated, not just computed, • Clear, organized written and verbal communication skills; ability to explain quantitative findings in plain language, • Bachelor's degree in a quantitative field (statistics, mathematics, data science, computer science, economics, or related); advanced degree a plus PREFERRED QUALIFICATIONS • Familiarity with pharmaceutical hub program workflows, including case management, prior authorization, benefits verification, payor adjudication, and patient financial assistance programs, • Experience working with specialty pharmacy data structures and source systems (CRM, pharmacy dispensing platforms, benefits verification systems), • Background in patient access or market access analytics at a pharmaceutical manufacturer, including program KPI development and payor-level performance analysis, • Analytical experience at a health insurer or PBM, particularly in formulary analytics, specialty drug utilization, or patient access reporting, • Experience with ThoughtSpot or Power BI preferred, • Exposure to or curiosity about generative AI and its applications in analytics workflows (natural language querying, entity resolution, or automated insight generation), • Experience contributing to a client-facing analytics product or repeatable analytical framework, • Familiarity with dbt or similar data transformation frameworks

About the Company Founded in 2016, Pennington Partners is an award-winning multi-family office that serves entrepreneurial founders, high-income earners, and multi-generational families through integrated wealth and investment solutions. Managing more than $4 billion across advisory mandates, private funds, and affiliated entities, Pennington Partners brings rigor with an entrepreneurial spirit. Our culture is vibrant, intelligent, and relentlessly driven. We are an ensemble of exceptional professionals with diverse, multi-disciplinary backgrounds who value independent judgment, integrity, and fresh thinking. While the firm continues to gain scale and institutional structure, we remain deeply committed to our entrepreneurial roots—valuing agility, creativity, and an unwavering client focus. About the Position The Sr. Investment Analyst/Investment Associate will be responsible for due diligence of alternative and traditional investments across private and public markets, analysis of client investment portfolios, asset allocation, and performance monitoring. You must be comfortable working in a fast-paced, dynamic, performance-driven environment, and committed to delivering a high-quality, accurate product on a time-sensitive basis. This position can be based in New York City, NY or Bethesda, MD. What You’ll Do • Collaborate with the investment team to conduct due diligence on private and public investment opportunities, primarily focused on private equity, private credit, hedge funds, and other alternative investment funds, as well as select long-only funds, • Source, underwrite, and evaluate primary fund commitments and co-investment opportunities., • Work with the investment team to allocate assets for Pennington's UHNW operating partner families, • Develop investment memos, manager reviews, and recommendation materials for Investment Committee meetings, • Conduct full-cycle diligence, including qualitative analysis, financial modeling, and risk analysis, • Support monitoring of existing investments What You’ll Need. • 3-5 years of relevant experience at an endowment, foundation, family office, institutional investment/allocator platform, or investment bank with a track record of relevant experience such as manager selection across alternative investments and/or direct and co-investments, • Bachelor’s degree with a concentration in Business, Finance, Math, Accounting, or Economics preferred, • Strong financial analysis and modeling skills, • Collaborate with senior investment team and mentor analysts to conduct due diligence and author investment memo recommendations, • Ability to work in a fast-paced environment under tight deadlines while exerting a high level of attention to detail, • Strong analytical and problem-solving skills, • Self-motivated with a continuous process improvement mindset Behavioral Characteristics • Judgment – does the right thing first with a bias for action., • Diplomacy – diplomatic and deferential yet assertive., • Logic – reasons in a consistent manner with applied critical thinking., • Analytical orientation – carefully evaluates all details presented., • Self-reliance – takes action and moves forward without specific direction, also asks questions at appropriate times without prodding., • Efficiency – spends a minimum of effort or resources to achieve maximum results., • Formality – respects but does not always follow convention(s); willing to experiment., • Constancy – unwavering and unexcitable. “Quiet” confidence. Comfortable with ambiguity., • Centered – unhesitating in expressing their personal values., • Intellectual curiosity – an insatiable thirst for knowledge; a need to understand., • Self-possession – self-monitored, thinks before speaking., • Pluck - courage or resolution in the face of difficulty., • Collaboration - ability to build and maintain positive relationships with both Pennington colleagues and external stakeholders. What You’ll Get We offer competitive and comprehensive benefits to help you prioritize your wellness and your career development. Working with a company that leverages our Core Values: Developing One’s Greatest Potential, Thinking Big, Client Obsession, Tikkun Olam (Repair Our World). • Salary - Competitive compensation (base salary + target bonus), • Benefits - Robust benefits package with a choice of PPO Health Insurance Plans covering medical, dental, vision, disability, and group term life insurance. Optional HSA Plan, with a $600 employer contribution. 401K Plan with employer match, commuter parking benefit, cell phone reimbursement., • Health & Wellness – $100/month stipend to use on the choice of fitness, meditation classes, meal kits, CSA, and more. Oura Ring welcome gift and one-year subscription to the Oura Ring app, and Pennington welcome swag! Worldwide emergency travel assistance coverage., • Paid Time Off - 15 days PTO, unlimited sick leave, bereavement leave, 11 federal holidays and 3 floating holidays. Paid maternity and paternity leave for biological and adoptive parents, plus the option to work from home after paid leave ends to extend time with your growing family, and a $4,000 childcare stipend to help you transition back to work. EQUAL EMPLOYMENT OPPORTUNITY It is the policy of Pennington Partners to ensure equal employment opportunity (EEO) for all employees and applicants for employment without regard to race, color, religion, sex, pregnancy (including childbirth, lactation, or related conditions), national origin or ancestry, age, disability, veteran status, uniformed servicemember status, sexual orientation, gender identity, status as a parent, genetic information (including testing and characteristics), or any other characteristic protected by applicable federal, state, or local law. It is Pennington Partners’ policy to comply with applicable laws concerning the employment of persons with disabilities, including reasonable accommodation for applicants and employees with disabilities.

Job DescriptionWho We Are Qvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards. Learn more about Qvest & our entry level opportunities on our Campus Recruitment Microsite! Who We're Seeking Qvest is seeking a team of Consulting Analysts to join our consulting practices in Los Angeles and New York, starting in late summer 2027. We are looking for organized, ambitious team members who excel in fast-paced environments, bring a superior work ethic to every task, strive for growth & development, and view every new experience as an opportunity to learn. This role is open to current undergraduate seniors only, or graduate students currently completing their final year without full-time work experience. If you have already completed your undergraduate or graduate degree prior to Winter 2026, please review our open roles for experienced professionals. If you are currently an undergraduate junior, please review our Internship opportunities. Applications for our Analyst position must include all of the following documents. Applications missing 1 or more of these will not be considered: • Full and up-to-date transcript (undergraduate and graduate, if applicable), • Resume, • Cover LetterWhat You'll Do, • Create deliverables and work closely with your team to iterate until client-ready, using modern tools to enhance depth, accuracy and speed of work, • Test and evaluate new systems and technologies, validating system capabilities for client solutions, • Support end-to-end project management by delivering clear status reports, raising risks and issues, and helping keep engagements on schedule, • Facilitate interactive, collaborative workshops and interviews with client stakeholders to collect user requirements, uncover pain points, and document business needs, • Foster strong, collaborative relationships across client organizations and internal Qvest teams, • Propel Qvest's growth by contributing to strategy, methodology enhancement, and talent recruitmentWhat You'll Bring, • 0 - 2 years of part time or internship work experience, preferably in an analytical capacity, • Excellent communication and interpersonal skills, • Demonstrated ability to thrive in team environments and manage multiple priorities under tight deadlines, • A natural curiosity for emerging technology and experience using AI or automation tools to enhance work quality and speed, • A proactive drive to solve problems and rethink processes, • Exceptional organizational and follow-through skills, maintaining high attention to detail across complex tasks, • A history of success throughout academic career, • Bachelor's degree in engineering, information systems, computer science, economics, business or other related fields, with a cumulative GPA of 3.2 or higherPreferred Experience, • Experience and/or interest in the Media & Entertainment industry #LI-DNI Life at Qvest We were founded on a culture of collaboration and inclusiveness, and this permeates each of our initiatives, both client-facing and internal. We offer a wide selection of benefits including medical, dental & vision, 401k matching and flexible vacation; we sponsor training to advance our teams’ skill sets and we prioritize our employees’ professional growth paths. Qvest US is currently 300+ people strong and we’ve been recognized as a “Best Place to Work,” a “Great Place to Work,” “Fastest Growing,” and “A Jewel." Travel Requirements Employees are responsible for traveling to and from client sites as required by their project or assignment, regardless of location. Travel may include sites outside the employee’s primary office location, state, or region. Remote & Hybrid Work Employees are expected to report onsite at the client location when required by the project scope, client request, or management directive. While remote or hybrid work may be permitted for certain projects. Working Hours Although weekly working hours will vary by project & client, we typically expect teammates to work from approximately 8:30 AM - 5:30 PM, Monday through Friday, at a minimum. Some weeks or days may require you to work more or less hours, depending on the needs of the business and the client. This does not apply to days where teammates have approved time off, such as vacation days, sick days, personal days, holidays, or any other approved time off. Equal Employment OpportunityQvest is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Qvest applies this stance to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including internships, at all levels of employment.

Job DescriptionBuy-Side Investment Analyst (Entry-Level) – Career Launch AI Talent Network Location: New York, NY (Hybrid) Type: Full-Time Compensation: Typically $140,000 – $185,000+ total compensation (varies by employer) About This Role This Buy-Side Investment Analyst description represents the type of entry-level private equity and private markets roles featured on the Career Launch AI Private Job Board. It is not a direct job opening with a single employer. Members of the Career Launch AI platform gain access to exclusive buy-side investment roles—including private equity, growth equity, and private capital positions—that may not be posted on public job boards. Career Launch AI provides tools and structured support to help candidates connect with hiring managers, prepare for interviews, and pursue high-caliber investment careers. More information is available at careerlaunch.ai. About the Opportunity A lower middle-market private equity firm (representative of firms within our network) may seek an analytically strong, early-career Buy-Side Investment Analyst to support the full investment lifecycle. Individuals in roles like this gain hands-on exposure to deal evaluation, financial modeling, diligence, and portfolio analysis, working closely with senior investment professionals in a lean, apprenticeship-style environment. The role is designed to accelerate technical development and judgment on live transactions. Day-to-Day ResponsibilitiesDeal Evaluation & Financial Modeling Build and maintain operating and transaction models, including 3-statement models, DCFs, and LBOs Analyze investment returns, capital structures, sensitivities, and downside scenarios Perform valuation analyses using comparable companies, precedent transactions, and intrinsic methods Support deal underwriting and scenario analysis for new investments and add-ons Due Diligence & Market Research Assist with diligence across financial, commercial, operational, and legal workstreams Analyze company performance, KPIs, customer cohorts, margins, and unit economics Conduct industry, market, and competitive research to support investment theses Synthesize third-party diligence findings into actionable insights Investment Committee & Deal Process Support Draft investment memos, exhibits, and presentation materials Summarize diligence findings and key risks/opportunities Prepare data-driven recommendations for internal investment discussions Support transaction execution through signing and closing Portfolio Company & Post-Investment Support Assist with portfolio company performance tracking and KPI dashboards Support analysis for operational initiatives, growth strategies, and cost optimization Contribute to modeling and evaluation of bolt-on acquisitions, refinancings, and exit scenarios Help monitor portfolio performance versus underwriting expectations What Makes This Work Engaging Direct exposure to live deals and investment decision-making Regular interaction with management teams, founders, and executives Steep learning curve across M&A, strategy, and applied finance Clear pathway toward long-term buy-side investing roles Ideal Candidate Profile This profile reflects the competencies commonly sought for entry-level buy-side investment analyst roles. Education & Technical Skills Bachelor’s degree in Finance, Economics, Accounting, Engineering, Mathematics, or related field Strong Excel skills and the ability to build, audit, and interpret complex financial models Solid foundation in accounting, corporate finance, and valuation Experience (Formal or Informal) Prior internships or experience in investment banking, private equity, consulting, transaction advisory, or corporate finance is beneficial Demonstrated interest in investing, financial analysis, or M&A through coursework, internships, or independent study Soft Skills & Mindset Strong ownership mentality and attention to detail Clear written and verbal communication skills Ability to perform in fast-paced, deadline-driven deal environments Coachable, intellectually curious, and eager to learn How Career Launch AI Helps Candidates Access Roles Like This Career Launch AI is a career acceleration platform supporting candidates pursuing competitive buy-side finance roles. AI-Powered Job Search Automation Automated applications to a high volume of relevant roles with tailored resumes Targeted search across private equity, growth equity, venture capital, and corporate development Recruiter & Hiring Manager Outreach Human-led outreach to relevant recruiters and investment professionals Support in initiating warm conversations, not just cold applications Execution & Tracking Support Centralized systems to manage applications and outreach End-to-end administrative support throughout the search Interview & Case Preparation Assistance with private equity modeling tests and case interviews Behavioral and technical interview preparation tailored to buy-side roles Continued Support Ongoing guidance throughout the hiring process until placement Learn More or Apply To access roles of this kind through the Career Launch AI platform, visit: careerlaunch.ai Career Launch AI offers access to a curated private job board, personalized outreach support, automated application tools, interview preparation, and continued assistance until placement. Career Launch AI — Powered by Initio Capital 8 The Green, Dover, Delaware 19901 admin@careerlaunch.ai

Job Description Position Type: AI Product Manager Location: New York City (Wall Street) on-site 3 days/week; 2 days remote -- hybrid role Start Date: On or about October 1, 2026 Compensation: $150k-160k annually, exact compensation may vary based on skills and experience Overview Automated Industries is seeking an AI Product Manager on behalf of one of our clients who will operate in both capacities – to augment existing AI roadmaps, as well as innovate new projects – crafting AI experiences that enable our educators to deliver even better student outcomes, improve school operations, as well as drive efficiencies throughout the enterprise. AI is a team sport, and in your role, you will be key in leading and influencing teams on the translation of business problems and questions into GenAI solutions. Key Responsibilities • Own the end-to-end product lifecycle: From discovery and prioritization to delivery and optimization, you will be responsible for driving various products and features on the AI roadmap., • Data-driven prioritization: Apply a focused ROI-first approach to inform roadmap decisions., • Translate business goals: You will translate the needs of various stakeholders into clear AI/ML feature requirements in partnership with AI engineers and data scientists., • Design intuitive and usable AI experiences: You will collaborate with UX/UI and engineering to ensure seamless integration of LLMs, RAG, and ML outputs into an effective customer experience., • Evaluate and experiment: You will define evaluation metrics and work with data scientists to experiment, validate, and iterate on models and AI features., • Continuously improve: Implement feedback loops to ensure models and AI features evolve based on real-world usage and user feedback., • Be the glue: By serving as the connective tissue between business partners and technical teams, you will balance technical feasibility and business impact to deliver the right solutions at the right time., • Foster the strategy: Contribute to shaping the overall AI strategy and ensuring product decisions align with long-term organizational AI goals and support the enterprise priorities Minimum Qualifications • 3+ years of product management experience (AI/ML or data-driven platforms preferred but not necessary) with proven experience launching enterprise tools or customer-facing products., • Experience designing custom GPT or other basic AI tools., • Experience working in Agile development environments, using tools like JIRA or Confluence to manage backlogs and sprints., • Knowledge of requirements gathering, project management, and process redesign., • Proven experience in translating ambiguous business problems into concrete technical solutions., • Demonstrated experience in leading the development of AI projects from start to finish., • Strong communication and storytelling skills (executive-level preferred but not necessary), • Strong time management skills with the ability to collaborate across multiple teams., • Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, Economics, Applied Mathematics, Machine Learning, or a related field. Preferred Qualifications • Knowledge of GenAI and RAG strategies, MCP, and prompt engineering best practices., • Strong understanding of LLM ecosystems (OpenAI, Anthropic, Gemini, etc.), RAG pipelines, vector databases (e.g. Pinecone, FAISS, Milvus, PostgreSQL)., • Exposure to developer frameworks for agentic AI development. Work Environment • On-site Tuesday through Thursday, • Remote Monday and Friday, • Collaborative, fast-paced technical environment, • Direct interaction with engineering leadership, vendors, and business stakeholders, • Role combines team management, cloud operations oversight, vendor management, and cost governance Compensation & Terms Base Compensation: $150k-160k annually, commensurate with experience Start Date: On or about October 1, 2026 \nCompany Description We are an end-to-end AI advisory and implementation firm that embeds engineering talent directly into client organizations to rebuild how work gets done. We are an end-to-end AI advisory and implementation firm that embeds engineering talent directly into client organizations to rebuild how work gets done.

Job DescriptionBusiness Valuation Officer Career Launch AI Talent Network Location: New York, NY (Hybrid) Employment Type: Full-Time Industry: Investment Banking / Financial Services Experience Level: Analyst / Early Career Compensation: Competitive base salary + performance bonus (varies by employer) About This Opportunity This posting represents the type of Business Valuation Officer roles featured within the Career Launch AI Private Job Board. It is not a direct job opening with a specific employer. Members of the Career Launch AI platform gain access to exclusive finance, valuation, and advisory opportunities that may not appear on public job boards. This description reflects a typical early-career valuation-focused role accessible through our network. More information is available at careerlaunch.ai. Representative Role Overview A valuation advisory firm, investment bank, accounting firm, or corporate finance group may seek a Business Valuation Officer to support enterprise valuation, transaction analysis, and financial advisory engagements. This role is well-suited for candidates interested in valuation theory, financial modeling, and applied analytics, with exposure to M&A, fairness opinions, financial reporting valuations, and strategic decision support. Key Responsibilities Perform business valuations using DCF, comparable company analysis, precedent transactions, and asset-based approaches Build and maintain detailed valuation and financial models to assess enterprise and equity value Conduct industry, market, and company-specific research to support valuation assumptions Support valuations for M&A transactions, fairness opinions, financial reporting, tax, and strategic planning Prepare valuation summaries, exhibits, and client-ready presentations Assist with due diligence, data validation, and normalization of financial statements Collaborate with senior valuation professionals, bankers, auditors, and advisory teams Support documentation and review processes in line with professional and regulatory standards Desired Qualifications Bachelor’s degree in Finance, Accounting, Economics, Mathematics, or a related discipline Strong foundation in valuation methodologies and financial modeling High analytical rigor with strong attention to detail Ability to translate quantitative analysis into clear written and visual insights Excellent communication and organizational skills Ability to manage multiple valuation workstreams in a deadline-driven environment Prior internship or experience in valuation advisory, investment banking, accounting, consulting, or corporate finance is beneficial Proficiency in Excel, PowerPoint, and financial research platforms Why This Posting Matters This Business Valuation Officer description reflects the types of opportunities available exclusively to Career Launch AI members, including: Roles shared directly with Career Launch AI by employers Opportunities not posted publicly Warm introductions to hiring managers and valuation teams AI-supported job targeting and application support Interview coaching focused on valuation concepts and case-style questions Career Launch AI members gain access to 1,000+ curated roles across: Investment Banking Valuation & Transaction Advisory Private Equity & Venture Capital Corporate Finance Strategy Consulting Technology (FAANG-level and startups) Product Management, Data, Operations, and more How Career Launch AI Helps Candidates Career Launch AI is a career acceleration platform designed to help candidates secure competitive roles more efficiently. Members receive: AI-powered job application automation Personalized recruiter outreach Warm introductions to decision-makers Sector-specific resume optimization Interview preparation and ongoing support This posting is an example of the types of positions members may pursue through the platform. How to Access Opportunities Like This To be considered for roles of this type, candidates must enroll in the Career Launch AI platform. Career Launch Assessment Link: https://careerlaunch.ai/assessment Once enrolled, members receive: Access to the exclusive job board Personalized recruiter outreach Automated job applications Coaching and interview preparation Ongoing support until placement

Job Description Lantheus (NASDAQ: LNTH) is the leading radiopharmaceutical-focused company, delivering life-changing science to enable clinicians to Find, Fight and Follow disease to deliver better patient outcomes. Headquartered in Massachusetts with offices in New Jersey, Canada, Germany, Sweden, Switzerland and United Kingdom, Lantheus has been providing radiopharmaceutical solutions for nearly 70 years. Today, we’re expanding our portfolio and pipeline across oncology, neurology and cardiology. Through recent acquisitions, along with strategic partnerships across the life sciences ecosystem, we are accelerating our efforts to advance precision medicine and improve patient outcomes around the world. At Lantheus we are purpose-driven, and every employee plays a vital role in our success. We’re dedicated to cultivating a high-growth, forward-thinking culture where innovation thrives and diverse perspectives drive meaningful progress. Join us and be part of a company where your contributions make a real impact, because we know someone’s health is in our hands. Summary of role The Medical Science Liaison (MSL) is a field-based scientific expert and a key member of Global Medical Affairs responsible for establishing and maintaining trusted peer-to-peer scientific relationships with healthcare professionals (HCPs), Key Opinion Leaders (KOLs), investigators, academic institutions, and other healthcare stakeholders. The MSL serves as a scientific and clinical resource, facilitating balanced, evidence-based scientific exchange while generating actionable medical insights that inform medical strategy and improve patient outcomes. The MSL communicates scientific, clinical, and technical information within the medical community, develops long-term collaborative relationships with external experts, and serves as a therapeutic and radiopharmaceutical expert for internal stakeholders. The role supports the execution of Medical Affairs objectives through scientific engagement, medical insight generation, congress support, clinical research support, and cross-functional collaboration while ensuring compliance with all applicable laws, regulations, company policies, and industry standards. The successful MSL demonstrates extensive expertise in their given therapeutic area, radiopharmaceuticals, molecular imaging, precision medicine, clinical research, and emerging scientific trends. The MSL continuously maintains current scientific knowledge through ongoing education, medical literature review, congress participation, and company-sponsored training. This is a remote position open to applicants authorized to work for any employer within the United States. Preferred candidates will reside near a major international airport. Key Responsibilities Scientific Engagement • Develop, cultivate, and maintain strategic long-term scientific relationships with Key Opinion Leaders, investigators, healthcare professionals, academic institutions, and professional societies within the assigned territory., • Conduct high-quality, peer-to-peer scientific exchange utilizing current evidence to communicate approved scientific, clinical, and technical information regarding disease state, diagnostic imaging, radiopharmaceuticals, clinical trial data, treatment guidelines, and emerging scientific evidence., • Present complex scientific information effectively in both one-on-one and group settings, tailoring communications to diverse healthcare audiences while maintaining scientific accuracy and compliance., • Respond appropriately to unsolicited scientific and medical information requests by providing timely, balanced, accurate, and evidence-based information in accordance with company policies and applicable regulations., • Maintain advanced scientific expertise in therapeutic area, radiopharmaceuticals, molecular imaging, clinical trial data, and evolving therapeutic landscapes. Medical Insight Generation • Proactively gather, document, and communicate actionable medical insights obtained through scientific interactions with external experts., • Identify emerging scientific trends, diagnostic imaging patterns, treatment advances, unmet medical needs, competitive intelligence, healthcare system challenges, and evolving standards of care., • Provide strategic field intelligence that informs Medical Affairs strategy, evidence generation priorities, product lifecycle management, and future research initiatives., • Effectively communicate actionable insights to Medical Affairs leadership and cross-functional partners including Clinical Development, Clinical Operations, Commercial, Regulatory Affairs, Market Access, and Health Economics. Congress and Scientific Meeting Support • Represent Medical Affairs at national, regional, and international scientific congresses, professional society meetings, and educational conferences., • Develop and execute strategic congress engagement plans, including identification of priority KOL interactions, scientific sessions, and educational opportunities., • Facilitate compliant scientific discussions with healthcare professionals after, during, and following scientific meetings., • Collect, analyze, and disseminate key scientific updates, competitive intelligence, clinical data, and emerging research findings to internal stakeholders., • Prepare congress summaries and scientific debriefs that support organizational learning and medical strategy. Clinical Research and Study Support • Identify and evaluate qualified investigators and clinical research sites for company-sponsored and investigator-sponsored studies., • Support clinical trial feasibility assessments, investigator identification, site engagement, and evidence generation initiatives., • Facilitate scientific collaboration between investigators and internal clinical development teams while maintaining appropriate separation from operational trial management., • Support investigator-sponsored research (ISR), post-marketing studies, real-world evidence initiatives, and collaborative scientific research opportunities., • Demonstrate comprehensive knowledge of clinical trial design, Good Clinical Practice (GCP), and clinical research methodology. Medical Education and Scientific Communication • Deliver scientific and educational presentations to healthcare professionals and internal stakeholders on disease state, radiopharmaceuticals, oncology, diagnostic imaging, clinical evidence, and emerging data., • Support advisory boards, speaker development, educational initiatives, scientific roundtables, and medical education programs., • Provide constructive scientific feedback regarding presentation accuracy, scientific content, and compliance with company policies., • Serve as a scientific resource to internal cross-functional teams by providing therapeutic area expertise and medical education. Cross-Functional Collaboration • Collaborate effectively with Medical Affairs, Clinical Development, Commercial, Regulatory Affairs, Market Access, Pharmacovigilance, Health Economics, Professional Promotions, and other cross-functional partners., • Share appropriate clinical, scientific, and technical information in a timely manner to support organizational objectives., • Contribute scientific expertise to product launches, lifecycle management activities, publication planning, evidence generation, and strategic initiatives. Compliance and Pharmacovigilance • Fully understand and comply with Lantheus Pharmacovigilance procedures, including timely identification, documentation, and reporting of adverse events and product quality complaints., • Conduct all activities in accordance with the Lantheus Code of Conduct, Medical Affairs policies, OIG Guidance, PhRMA Code, Good Clinical Practice (GCP), HIPAA requirements, FDA regulations, and all applicable legal and ethical standards., • Accurately document scientific interactions, field medical activities, and medical insights using approved systems and processes., • Maintain current knowledge of evolving scientific literature, treatment guidelines, regulatory requirements, and compliance expectations. Basic Qualifications • PhD, PharmD, MD, DO, or equivalent advanced scientific or clinical degree required., • Minimum of two years of Medical Science Liaison or Medical Affairs experience preferred., • Clinical or scientific experience in therapeutics area, nuclear medicine, radiopharmaceuticals, molecular imaging, or diagnostic imaging preferred., • Demonstrated understanding of current and emerging trends in therapeutic area, radiopharmaceuticals, precision medicine, and diagnostic imaging., • Strong scientific acumen with the ability to critically evaluate and communicate complex clinical and scientific information., • Proven ability to establish and maintain credible scientific relationships with healthcare professionals and external experts., • Demonstrated leadership within cross-functional teams and the ability to collaborate effectively across multiple business functions., • Excellent verbal, written, presentation, and interpersonal communication skills., • Highly organized with demonstrated ability to independently manage multiple priorities in a dynamic environment., • Strong analytical thinking, strategic planning, and problem-solving capabilities. Preferred Qualifications • Advanced knowledge of therapeutic area, radiopharmaceuticals, molecular imaging, and precision medicine., • Strong familiarity with key clinical publications, treatment guidelines, and evolving scientific literature., • In-depth understanding of clinical trial design, clinical development, and evidence generation., • Knowledge of investigator-sponsored research, real-world evidence, and post-marketing research., • Understanding of pharmacoeconomic principles and healthcare value evidence., • Advanced knowledge of the U.S. healthcare system, reimbursement environment, and medical imaging industry., • Experience supporting scientific congresses and advisory boards., • Advanced proficiency with Microsoft Office Suite (Word, Excel, PowerPoint) and CRM/documentation platforms., • Ability to travel approximately 70% within the assigned geography., • Residence near a major international airport preferred. Core Competencies • Scientific Expertise, • Strategic Scientific Engagement, • KOL Relationship Management, • Medical Insight Generation, • Clinical Research & Evidence Generation, • Congress Planning & Scientific Exchange, • Medical Education & Scientific Communication, • Cross-Functional Collaboration, • Strategic Thinking & Business Acumen, • Scientific Storytelling & Data Interpretation, • Compliance & Ethical Conduct, • Pharmacovigilance, • Project & Stakeholder Management, • Executive Presence, • Adaptability & Continuous Learning Core Values The ideal candidate will embody Lantheus core values: • Let people be their best, • Respect one another and act as one, • Learn, adapt, and win, • Know someone’s health is in our hands, • Own the solution and make it happen The pay range for this position is between $156,000 and $234,000 annually. Actual base pay offered may vary depending on a number of factors such as job-related knowledge, skills and experience. Employees in this position are eligible for a discretionary performance-based cash incentive. Benefits for this position include a comprehensive health benefits package that includes medical, prescription drug, dental, and vision coverage. Other offerings include life and disability benefits, pre-tax accounts, a 401(k) with company contribution, and a variety of other benefits. In addition, employees are eligible for a generous time off package including paid vacation, holidays, sick days, and paid parental leave. Interested candidates can apply at Lantheus.com. Applications for this position will be accepted until September 30, 2026. Lantheus is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, related medical conditions and lactation), gender identity or gender expression, sexual orientation, marital status, military service and veteran status, disability, protected medical condition as defined by applicable state or local law, genetic information, or any characteristic protected under applicable federal, state, or local laws and ordinances. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the Lantheus Talent Acquisition team at talentacquisition@lantheus.com. Lantheus is an E-Verify Employer. Applicants have rights under Federal Employment Law: Employee Polygraph Protection Act (EPPA); Family and Medical Leave Act (FMLA) For California Applicants: Family Care & Medical Leave & Pregnancy Disability Leave; California Law Prohibits Workplace Discrimination & Harassment; Your Rights and Obligations as a Pregnancy Employee For Ohio Applicants: Know Your Rights: Equal Employment Opportunity is the Law

Job DescriptionCompany Description We’re a leading Investor Services group offering end-to-end services in administration, accounting, reporting, regulatory and compliance needs of the investment sector worldwide. We employ a global workforce of 6,500+ people across 24 jurisdictions and have assets under administration (AUA) exceeding US$857 billion. We work with 13 of the world’s top-15 private equity firms. Our services are underpinned by a Group-wide commitment to ESG and best-in-class technology including a global data platform and innovative proprietary tools supported by in-house experts. Above all, what makes us different is our people. Operating as trusted partners to our clients, we deliver intelligent solutions through a combination of technical expertise and strong relationships based on deep client understanding. We’re driven by our Group purpose, to power people and possibilities Job Description This position will be at the forefront of driving growth and nurturing relationships with existing prospects. You’ll lead strategic initiatives, forge meaningful connections, and position IQEQ as a trusted partner in our clients' success stories. This role offers the perfect blend of leadership, strategy, and hands-on execution, ideal for a visionary who thrives in a fast-paced environment. What you’ll do • You'll cultivate relationships at the executive and operational levels with prospects, becoming an expert on their organizational structure and strategic goals; and develop a clear understanding of the political and business landscape of prospects to ensure optimal engagement, • You'll act as the primary point of contact for prospect relationships, continuously broadening engagement across C-suite and other key decision-makers, while ensuring alignment with the prospect’s strategic goals, offering tailored solutions and positioning IQEQ as integral to their business model, • You'll stay ahead of industry trends and competitors to adapt strategies that ensure long-term client retention and growth, and provide feedback to internal teams on product functionality and market trends to drive continuous innovation, • You'll lead the creation of a prospect-specific value proposition that differentiates IQEQ in a competitive marketplace, and collaborate with senior leadership and cross-functional teams to deliver bespoke solutions that meet client needs, and leverage IQEQ's global network to create a holistic and comprehensive strategy for client engagement, • You'll lead cross-functional teams in the preparation of proposals and presentations that showcase IQEQ's capabilities and expertise, • You'll coordinate with internal stakeholders to ensure seamless communication and alignment on prospect strategies, and maintain up-to-date records of all prospect activities and engagements through our CRM system What we offer • IQ-EQ offers a comprehensive benefits package designed to support employees' well-being and work-life balance, • Employees receive generous paid time off, including 4 weeks of PTO that increases over time, sick time and paid holidays, and financial wellness is supported through a 401(k) plan with a company match (subject to eligibility), • Health benefits include medical, dental, vision, mental health support and additional ancillary insurance plans, • Additional benefits include paid parental leave and a hybrid work schedule, promoting both personal and professional fulfillment, • This position is commission eligible and the salary will be dependent on experience and location ($150,000 - $180,000)Qualifications, • You hold a Bachelor’s degree in business, finance, economics, applied mathematics, or a related field, • You bring over five years of proven success in business development or client relationship roles within financial services, private equity, or asset management, • You have a strong ability to drive strategic initiatives, understand competitive landscapes, and close high-value deals, • You demonstrate exceptional leadership, financial acumen, and expertise in P&L management, budgeting, and financial modeling, • You excel in communication, presenting complex ideas clearly, and thrive in fast-paced, data-driven environments with a focus on results and innovation Additional Information Sustainability is integral to our strategy and operations. Our sustainability depends on us building and maintaining long-term relationships with all our stakeholders – including our employees, clients, and local communities – while also reducing our impact on our natural environment. There is always more we can, and should do, to improve – whether in relation to our people, our clients, our planet, or our governance. Our ongoing success as a business depends on our sustainability and agility in a changing and challenging global landscape. We’re committed to fostering an inclusive, equitable and diverse culture for our people, led by our Diversity, Equity, and Inclusion steering committee. Our learning and development programmes and systems (including PowerU and MyCampus) enable us to invest in growing our employees’ careers, while our hybrid working approach supports our employees in achieving balance and flexibility while remaining connected to their colleagues. We want to empower our 6,500+ employees - from 94 nationalities, across 24 countries - to each achieve their potential. Through IQ-EQ Launchpad we support women managers launching their first fund, in an environment where only 15% of all private equity and venture capital firms are gender balanced. We’re committed to growing relationships with our clients and supporting them in achieving their objectives. We understand that our clients’ sustainability and success lead to our sustainability and success. We’re emotionally invested in our clients right from the beginning. #LI-HYBRID

Job DescriptionCompany Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube. Job Description The Analytics and Performance Excellence (APEX) function supports AbbVie’s US organization and is comprised of highly regarded researchers, analysts, data scientists and strategists who are committed to being best-in-class within the biopharmaceutical industry. We serve as a strategic in-house counsel, ensuring that all decisions leverage the key insights that we develop. We continue to build new capabilities and skill sets, encouraging our team members to pull up a chair, be themselves, be creative, speak their minds, and do good work. We are a passionate, diverse, flexible, and inclusive organization with a culture that supports the best ideas, wherever they originate. We are smart, fun, quirky, and innovative – and we’d love for you to join us. Role Summary Manager, Analytics Products is the single-threaded product owner for a defined subset of AbbVie's Omnichannel analytics portfolio — a suite of capabilities spanning omnichannel marketing strategy, planning, execution, and measurement. Operating within the APEX Enterprise Advanced Analytics and Innovation team, this role holds full accountability for the business value of its assigned products. Reporting to the Associate Director, Analytics Products, the SM partners closely with Data Science, Marketing, Digital Lab, BTS, APEX Business Units, and external partners to ensure Omnichannel analytics solutions are impactful, adopted, and continuously improving. This is an outcome-oriented role combining applied AI/ML expertise with a product ownership mindset. Key Responsibilities • Own the product vision, strategy, and roadmap for a subset of Omnichannel analytics capabilities, ensuring alignment from strategy through execution., • Define the problem space — articulating business outcomes, user needs, scope, and the product backlog — while partnering with Data Science, Data Transformation, and BTS on technical delivery., • Manage the full APEX product lifecycle across 1–2 assigned Omnichannel initiatives, from Intake and Solutioning through Prioritization, Build & Validate, Delivery & Adoption, and Measure & Enhance., • Drive value-based prioritization, making disciplined trade-off decisions on scope, features, and timelines based on business impact, with clear acceptance criteria for deliverables., • Define and track success metrics, including adoption and business impact, and support closed-loop measurement frameworks to assess end-to-end promotional effectiveness., • Partner with Marketing, Digital Lab, BTS, APEX Business Units, and external vendors to co-develop analytics solutions that deliver quantifiable value across HCP and patient journeys., • Represent assigned analytics products in Product Council forums as the authoritative voice on product direction and trade-offs, feeding updates to the AD for Steering Committee visibility., • Engage stakeholders consultatively, shifting conversations from feature requests to problem definitions, user outcomes, and measurable results., • Communicate insights and strategy clearly — creating compelling roadmap presentations and recommendations for senior cross-functional audiences. Supervisory / Management Responsibilities This role does not carry formal direct report responsibilities at this time. Key Competencies • Outcome-oriented: Defines success metrics, measures product impact, and holds teams accountable to results — not delivery milestones., • Curiosity-driven discovery: Actively seeks out unmet needs and untapped AI/ML opportunities through networking and exploration, rather than waiting for requests to arrive., • Influence without authority: Builds alignment across Marketing, Data Science, Engineering, BTS, and partners through credibility and strategic framing., • Disciplined prioritization: Makes and defends scope and trade-off decisions based on business impact, urgency, and technical feasibility., • Strong communication: Presents complex analytics concepts and product strategies to senior audiences with clarity., • Consultative problem-framing: Translates ambiguous business challenges into well-scoped product opportunities with measurable outcomes., • Cross-functional collaboration: Builds trust across diverse stakeholder groups while maintaining clear decision rights per the APEX governance model.Qualifications Education Bachelor's degree in Business Administration, Statistics, Economics, Engineering, or a related quantitative field. Advanced degree (MBA, MS, or PhD) preferred. Required Experience • 5+ years in marketing analytics, digital analytics, or commercial analytics in biopharma, healthcare, or life sciences., • 3+ years as a product owner or product manager for analytics, data, or technology products, with full lifecycle ownership., • 3+ years in omni-channel analytics, engagement analytics, journey analytics, or closed-loop measurement., • 3+ years defining data and technology requirements in collaboration with data science, engineering, or technology teams., • 3+ years measuring commercial effectiveness via promotional response analysis, closed-loop measurement, A/B testing, or quasi-experimental methods., • 2+ years hands-on building AI/ML prototypes, proofs-of-concept, or MVPs., • Demonstrated ability to independently stand up a working demo or prototype from an ambiguous business idea with minimal upfront specification., • Hands-on experience with data science tools (Python, R, SQL) and ability to engage technically with data science and technology partners. Preferred Experience • Agile product development experience: backlog management, sprint planning, user story writing, and acceptance criteria., • Familiarity with pharma data sources (Symphony Health, IQVIA, or equivalent prescription, patient, and omnichannel marketing data)., • Experience designing and delivering executive-ready demos and presentations that translate technical AI/ML capabilities into business language for non-technical audiences., • Background in data visualization or design (e.g., Tableau, Power BI, Figma) to elevate the clarity and impact of prototypes and stakeholder-facing materials., • Experience working with Agentic Coding Tools (Cursor, Claude Code, Codex, Antigravity). Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: • The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future., • We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees., • This job is eligible to participate in our long-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: https://www.abbvie.com/join-us/reasonable-accommodations.html

Job Description At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections. Mindbody equips wellness entrepreneurs with technology to support thriving businesses and create exceptional experiences. Innovation and curiosity drive our culture, connecting businesses and individuals through cutting-edge solutions. Join us if you're passionate about enhancing wellness through technology. The Opportunity Mindbody is seeking a Principal Product Manager, Agentic Experience to define how AI transforms the way businesses use our industry-leading B2B software platform. This role will own the vision, strategy, and execution for incorporating agentic workflows into Mindbody's business experience. Your mandate spans both sides of the opportunity: envisioning an AI-first user experience that meaningfully improves how customers operate their businesses, and establishing the underlying platform capabilities that allow Mindbody teams to build reliable agentic workflows quickly, safely, and at scale. This is not a role focused on adding isolated AI features or conversational interfaces to existing workflows. You will determine where agents can fundamentally simplify work, coordinate actions across the platform, and help customers achieve outcomes with less effort. You will also define the quality, evaluation, trust, and governance systems necessary to make non-deterministic products dependable in real business environments. As a Principal Product Manager, you will operate as a senior individual contributor and organizational leader. You will level up Mindbody's thinking about applied AI, align teams around a cohesive strategy, and create the platform and product patterns that shape one of the most important components of Mindbody's next evolution. The Role You'll PlayDefine Mindbody's agentic product strategy • Establish a compelling vision for an AI-first B2B user experience across Mindbody's platform., • Develop and own the product strategy and roadmap for agentic experiences and their enabling platform capabilities., • Identify the workflows where agentic systems can create meaningful customer and business value—not merely add novelty or incremental convenience., • Determine the appropriate interaction models for agents, including proactive assistance, workflow orchestration, recommendations, approvals, and autonomous actions., • Translate rapidly evolving AI capabilities into durable product strategy grounded in customer needs, technical feasibility, economics, and risk., • Define clear boundaries between deterministic software, AI-assisted experiences, and agent-led workflows.Build trusted agentic experiences, • Lead the development of agentic workflows designed specifically for B2B users and their operational needs., • Create experiences that make agent reasoning, proposed actions, uncertainty, and outcomes understandable to users., • Define when agents should act autonomously, request approval, escalate to a person, or decline to act., • Ensure agentic workflows respect permissions, business rules, data boundaries, and customer-specific context., • Design for user trust and control through confirmation patterns, reversibility, auditability, and effective recovery from errors., • Partner with Design and Research to establish reusable interaction patterns for AI-first experiences across Mindbody.Establish the enabling AI platform, • Define the product requirements for a shared platform that enables teams to create, test, deploy, observe, and improve agentic workflows efficiently., • Partner deeply with Engineering, Architecture, Data, Security, and Privacy to develop scalable capabilities for model access, orchestration, tool use, context management, permissions, observability, and governance., • Establish reusable primitives and product patterns that accelerate delivery while maintaining consistent standards for quality and safety., • Make thoughtful build, buy, and partner decisions in a fast-moving technology ecosystem., • Define an adoption strategy that makes the platform valuable and practical for product and engineering teams across Mindbody., • Balance experimentation with the architectural discipline required to support production-grade B2B software at scale.Create rigorous evaluation and quality systems, • Define quality standards for non-deterministic products and establish how those standards will be measured., • Build an evaluation strategy spanning offline evaluations, production monitoring, human review, experimentation, and customer feedback., • Develop representative test sets and evaluation criteria for task completion, correctness, groundedness, tool selection, policy adherence, latency, cost, and user trust., • Establish release criteria and ongoing monitoring for workflows whose behavior cannot be validated through traditional deterministic testing alone., • Create feedback loops that convert production signals and failure modes into measurable product improvements., • Partner with technical teams to address hallucinations, model drift, prompt and workflow regressions, ambiguous intent, and failures across multi-step tasks.Lead across the organization, • Serve as a company-wide thought leader on agentic products and applied AI., • Align executives, product leaders, and technical teams around a shared vision, investment strategy, and operating model., • Influence roadmaps across organizational boundaries and drive adoption of shared AI capabilities and standards., • Coach product teams on agentic product discovery, workflow selection, evaluation, and responsible delivery., • Communicate complex technical concepts, uncertainties, and tradeoffs clearly to technical and nontechnical audiences., • Engage directly with customers to understand their workflows, trust thresholds, and readiness for different levels of AI assistance and autonomy., • Create momentum while maintaining a high bar for customer value, reliability, security, and responsible use.The Experience You Bring, • 9-12 years of product management experience, including strategic leadership of complex platform or cross-product initiatives., • Hands-on product leadership experience taking LLM-powered or agentic systems from concept to production., • Experience designing agentic user experiences or workflows for B2B users, including workflows that reason over context, use tools, coordinate multiple steps, or take actions on a user's behalf., • Deep understanding of the distinct product challenges posed by non-deterministic systems., • Demonstrated experience establishing evaluation and quality systems for production AI products, including offline and online evaluation methods., • Strong working knowledge of modern agentic system concepts such as orchestration, retrieval, tool calling, context management, structured outputs, guardrails, observability, and human-in-the-loop controls., • Experience building platform capabilities used by multiple product and engineering teams., • A track record of driving platform adoption and influencing roadmaps across teams without relying on direct authority., • Significant B2B SaaS experience and an understanding of the reliability, permissions, security, auditability, and change-management expectations of business customers., • Ability to connect technical platform decisions to user experience, product outcomes, and business strategy., • Strong judgment regarding the appropriate balance among autonomy, user control, reliability, speed, cost, and risk., • Executive-level communication skills and the ability to create clarity in a technically complex, rapidly changing space.What Will Set You Apart, • You have launched and scaled production agents that take consequential actions inside complex B2B workflows—not only copilots, chat interfaces, or content-generation features., • You have owned an AI platform, agent development framework, or shared set of capabilities adopted by multiple product teams., • You have developed evaluation systems that meaningfully predicted production quality and informed release decisions., • You understand how to evaluate end-to-end agent performance, including planning, tool selection, task completion, policy compliance, and recovery from failure., • You have designed AI experiences for users operating complex businesses, where mistakes can affect customers, schedules, communications, payments, or revenue., • You have evolved an established B2B SaaS product toward an AI-first experience while respecting existing workflows, customer trust, and platform constraints., • You can distinguish between compelling demonstrations and durable products—and know what it takes to close the gap between them., • You remain current on the AI ecosystem while avoiding strategy driven by hype, individual models, or short-lived implementation patterns. Pay Transparency It is Playlist's intent to pay all Team Members competitive wages and salaries that are motivational, fair and equitable. The goal of Playlist's compensation program is to be transparent, attract potential employees, meet the needs of all current employees, and encourage Team Members to stay with our organization. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. The base salary range for this position in the United States is $180,000 to $242,000. The total compensation package for this position may also include performance bonus, benefits and/or other applicable incentive compensation plans. Have we piqued your curiosity? Sound like the role for you? We'd love to hear from you! Even if you're not 100% sure about potential fit, we still encourage you to apply. We're looking for the right person, not the perfect series of checkboxes. The Company is an Equal Opportunity Employer. We highly value diversity at our company and encourage people of all different backgrounds, experiences, abilities and perspectives to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other protected characteristics. By entering your email and phone number and submitting your application, you consent to receive emails, calls and SMS about your application and other roles at The Company, including by auto-dialer. Message and data rates may apply. Opt-out or text STOP to cancel at any time. If you are a California resident or reside outside the United States then by submitting your application you confirm that you have read, understood, agree and - where applicable - grant your prior, free, informed and express consent for the processing of your personal information, including sensitive personal information, as described in our California Applicant Privacy Notice or International Applicant Privacy Notice (as applicable). Note: This description outlines key responsibilities but isn't intended to cover every task or duty. Additional responsibilities may be assigned as needed to support the team and business goals.

Job Description About impact.com: impact.com is the world's leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, impact.com empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products - Performance (affiliate), Creator (influencer), and Advocate (customer referral) - unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, impact.com helps brands show up where it matters most. Today, over 5,000 global brands - including Walmart, Uber, Shopify, Lenovo, L'Oréal, and Fanatics - rely on impact.com to power more than 350,000 partnerships that deliver measurable business results. Your Role at impact.com: We're seeking a Senior Data Scientist to serve as an embedded Data Scientist within our Programmatic Experience Group. You'll own the design and deployment of machine learning models that optimize yield, pricing, and inventory allocation at scale — sitting at the intersection of data science, platform engineering, and marketplace economics. This is a high-craft, high-ownership individual contributor role. You'll work end-to-end: architecting the data pipelines that feed your models, engineering the features that drive performance, and deploying real-time inference systems that make decisions at speed. Your work directly determines how effectively Impact's programmatic marketplace balances advertiser performance with publisher monetization — making this one of the highest-leverage technical roles in the business. You'll collaborate closely with Product, Data Science, and Programmatic Delivery Engine Engineering, but you operate with significant autonomy. You're expected to bring both the modeling rigor of a data scientist and the production instincts of an ML engineer — and to be genuinely excited about both. What You'll Do: Yield Optimization & Pricing Models • Design and deploy ML models that optimize auction pricing, bid shading, floor price setting, and yield across Impact's programmatic inventory., • Build and iterate on real-time pricing algorithms that balance short-term revenue efficiency with long-term publisher and advertiser health., • Develop and maintain feedback loops that allow pricing models to adapt to shifting market conditions, inventory mix, and demand patterns., • Quantify the revenue impact of pricing model improvements; communicate tradeoffs between yield maximization, fill rate, and partner ROI to stakeholders. Inventory Allocation & Supply Optimization • Own ML-driven inventory allocation logic: routing, pacing, and matching supply to demand across partner segments, deal types, and campaign objectives., • Build models that forecast inventory availability, demand curves, and clearing prices to support proactive allocation decisions., • Identify and address inefficiencies in inventory utilization — including unsold inventory, suboptimal deal matching, and allocation imbalances across the publisher base. Data Architecture & Feature Engineering • Design and own the data infrastructure that feeds programmatic models: event pipelines, feature stores, training datasets, and real-time feature serving., • Engineer high-signal features from auction logs, bid stream data, user signals, contextual attributes, and historical performance — at the scale of programmatic data volumes., • Build robust data pipelines with production-grade standards: reliability, observability, versioning, and efficient reprocessing. Real-Time Inference & Production ML • Deploy models to production real-time inference environments; own latency, reliability, and throughput requirements for auction-time decision-making., • Build monitoring systems that track model performance, data drift, and system health in production; define alerting thresholds and retraining triggers., • Partner with MLOps and Platform Engineering to ensure scalable, low-latency serving infrastructure meets SLOs under high-volume auction traffic., • Own the full model lifecycle: training, evaluation, deployment, A/B testing, and iteration. Experimentation & Performance Measurement • Design and execute rigorous A/B and holdout experiments to measure the causal impact of model changes on yield, fill rate, advertiser performance, and publisher revenue., • Build evaluation frameworks that go beyond offline metrics — validating model behavior in live auction environments where feedback signals are delayed or noisy., • Translate experimental results into clear business narratives; present findings and recommendations to Product and business stakeholders. Self-Learning Systems & Feedback Loops • Research and implement adaptive, self-learning components within the programmatic stack — including contextual bandits, reinforcement learning signals, and online learning approaches where appropriate., • Design feedback mechanisms that close the loop between auction outcomes, model updates, and system behavior; reduce reliance on manual tuning and rule-based overrides., • Stay current with advances in programmatic ML, auction theory, and online optimization; evaluate applicability to Impact's specific marketplace dynamics. Cross-Functional Collaboration • Serve as the primary ML technical partner for the Rubicon product and engineering teams; translate business requirements into modeling approaches and communicate technical tradeoffs clearly., • Collaborate with Data Science peers on shared infrastructure, modeling standards, and cross-domain feature reuse., • Document models, architectures, and experimental findings to a standard that enables review, replication, and knowledge transfer across teams. What You Bring: Required • Experience: 5+ years in data science, ML engineering, or quantitative research, with at least 2+ years building and deploying ML models in programmatic advertising, ad tech, marketplace optimization, or a closely related domain (e.g., real-time bidding, dynamic pricing, auction systems)., • Programmatic & marketplace depth: Demonstrated understanding of programmatic auction mechanics (RTB, header bidding, floor pricing, deal types, bid shading) and how ML can be applied to optimize outcomes across the supply-demand stack., • Production ML engineering: Proven ability to take models from prototype to production independently — including real-time inference, monitoring, retraining pipelines, and SLO ownership., • Data architecture: Experience designing and building data pipelines, feature stores, and training infrastructure for high-volume, low-latency ML systems., • Technical skills:, • Strong Python and SQL; proficiency with ML libraries (scikit-learn, XGBoost, LightGBM, PyTorch/TensorFlow) and large-scale data tools (Spark, Kafka, or equivalent streaming/batch frameworks)., • Experience with real-time feature serving and low-latency model deployment (REST APIs, gRPC, or streaming inference)., • Familiarity with production ML workflows: model versioning, drift monitoring, A/B testing, evaluation, and retraining., • Experience processing and modeling at programmatic data scale: high-cardinality auction logs, bid stream data, impression and click events., • Experimentation rigor: Strong grasp of causal inference and experiment design in online, delayed-feedback environments (auction holdouts, switchback tests, variance reduction techniques)., • Communication: Ability to explain complex modeling decisions and tradeoffs to Product and business stakeholders; comfortable presenting in cross-functional forums., • Education: Bachelor's in a quantitative field (CS, Statistics, Math, Engineering, Economics, or similar); Master's/PhD preferred. Preferred / Nice to Have • Direct experience with SSP, DSP, or exchange-side yield optimization — particularly floor price optimization, bid landscape modeling, or deal matching algorithms., • Familiarity with auction theory (first-price vs. second-price dynamics, optimal reserve pricing, revenue equivalence) and its practical implications for programmatic ML., • Experience with contextual bandits, multi-armed bandits, or reinforcement learning applied to real-time decisioning problems., • Knowledge of online learning and adaptive algorithms in production environments with non-stationary data distributions., • Familiarity with privacy-preserving ML techniques relevant to programmatic (differential privacy, federated learning, cookieless attribution modeling)., • Experience with GCP tools (BigQuery, Vertex AI, Dataflow, Pub/Sub) and/or Databricks/Spark for large-scale event processing and model training., • Exposure to supply forecasting, inventory management, or capacity planning in programmatic or marketplace contexts., • Familiarity with Impact's affiliate and partnership ecosystem, or prior experience at the intersection of performance marketing and programmatic delivery. What Sets You Apart • Marketplace intuition. You understand programmatic auctions not just as an engineer but as an economist — you think about incentive structures, equilibrium dynamics, and how model decisions ripple through the supply-demand stack., • Full-stack ML ownership. You're as comfortable designing a feature store schema as you are tuning a gradient boosting model or debugging a latency spike in production. You own the whole chain., • Feedback loop thinking. You don't just deploy models — you design the systems that make them smarter over time. You think about how today's decisions become tomorrow's training signal., • Rigor under real-world constraints. You know how to run clean experiments in environments where feedback is delayed, data is noisy, and business pressures create tradeoffs. You don't let imperfect conditions become an excuse for imprecise thinking., • Pragmatic delivery. You ship. You balance the perfect with the production-ready, iterate fast, and know when an MVP outperforms a six-month research project., • Collaborative depth. You build genuine technical trust with engineering and product partners — not just by having good ideas, but by following through, communicating clearly, and making the integration easy. Salary Range: $165,000 - $185,000 per year, plus an additional 5% variable annual bonus contingent on Company performance and eligible to receive a Restricted Stock Unit (RSU) grant. *This is the pay range the Company believes is equitable for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Benefits and Perks: At impact.com, we believe that when you're happy and fulfilled, you do your best work. That's why we've built a benefits package that supports your well-being, growth, and work-life balance. • Medical, Dental, and Vision insurance, • Office-only catered lunch every Thursday, a healthy snack bar, and great coffee to keep you fueled, • Flexible spending accounts and 401(k), • Flexible Working: Our Responsible PTO policy means you can take the time off you need to rest and recharge. We're committed to a positive work-life balance and provide a flexible environment that allows you to be happy and fulfilled in both your career and your personal life., • Health and Wellness: Your well-being is a priority. Our mental health and wellness benefit includes up to 12 fully covered therapy/coaching sessions per year, with additional dependent coverage. We also offer a monthly gym reimbursement policy to support your physical health., • A Stake in Our Growth: We offer Restricted Stock Units (RSUs) as part of our total compensation, giving you a stake in the company's growth with a 3-year vesting schedule, pending Board approval., • Investing in Your Growth: We're committed to your continuous learning. Take advantage of our free Coursera subscription and our PXA courses., • Parental Support: We offer a generous parental leave policy, 26 weeks of fully paid leave for the primary caregiver and 13 weeks fully paid leave for the secondary caregiver., • Technology Financial Support: We provide a technology stipend to help you set up your home office and a monthly allowance to cover your internet expenses. impact.com is proud to be an equal-opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors. #LINewYorkNewYork

Job DescriptionAbout Baba Baba is an applied AI lab modernizing risk and care delivery for people with Medicare. We've become the fastest growing digital health system matching people with Medicare and their family caregivers with expert advocates, physicians, medications, lab testing, and AI agents to deliver insurance-covered care across all 50 states. In the last 8 months, we've completed tens of thousands of appointments and partnered with health plans covering more than 4 million Medicare beneficiaries. On any given day, our team's work spans population health research, applied AI research, clinical care delivery, and fintech infrastructure. We're a Series A company with $47M+ in funding. Our team is half engineers, a third former founders, and comes from places like Ramp, Stripe, Liquid AI, Palantir, MIT, and CMU. Our clinical operations are led by the former Executive Director of Care Transitions from the Mount Sinai Health System. We believe that talent density is our greatest competitive advantage. Interested candidates should email connor@callbaba.com with a short summary of the most challenging problem they've worked on and a link to their LinkedIn. About the Role Direct-to-consumer marketing is the #1 input to Baba's growth today. We market to a range of audiences, including older adults, people with Medicare, people with Medicaid, and family caregivers - the biggest market in the country. As Director of Growth Marketing you own the function end to end: strategy, channel mix, media buying, funnel conversion, the team, and the operating model. You'll own an eight-figure annual media budget and be responsible for growing our existing channels and opening new ones, including offline, partnership, and community channels that reach older adults where digital doesn't. You'll partner closely with Design, Product & Engineering, Clinical Operations, and Finance, and you'll report to the CEO. This is a full-time role based in our Soho office in NYC. We're looking for candidates who are local or open to relocating. What You'll Own Growth strategy and targets. Define the acquisition strategy and make sure it flows into roadmaps and priorities at every level. Own D2C target-setting and channel mix allocation across our audiences. Performance and unit economics. Own CPL, CAC by channel, and lead-to-enrolled-to-billing conversion. Operate within the monthly spend ceiling and payback target set with Finance. Channels. Run and scale paid social, search, and programmatic, and build out the channels that matter for this population: TV and streaming, direct mail, radio, community and partnership marketing, and referral programs. Test fast, kill fast, and scale what pays back. Measurement and incrementality. Own how we know what's working. Design and run incrementality tests and build the measurement stack and MMM-style views that make budget allocation defensible. Funnel and conversion. Own the funnel from first impression through first clinical interaction. Partner with Product & Engineering on the tooling and with Clinical Ops on what happens after a lead converts. Team and operating model. Manage and grow a small growth marketing team, including org design, hiring, coaching, and agency management. Build the operating cadence, reporting, and processes that let the function absorb new channels and audiences without losing efficiency. We'd Love to Hear From You If You have 6–10+ years in growth or performance marketing, and you've directly owned a paid budget in the $5–20M+ annual range and scaled it meaningfully while improving efficiency. You've marketed to older adults or a Medicare or Medicaid population, or in another healthcare, insurance, or financial services category. Experience with Medicare or health insurance marketing is a strong plus. You've run more than digital: TV, streaming, direct mail, radio, or partnership and community channels, and you know how to measure them. You are relentlessly analytical. You go from data to insight to action quickly, you diagnose root causes, and you'd rather build the dashboard than wait for one. You think in payback and lead quality, not just CPL, and you have designed and run incrementality tests rather than trusting platform-reported attribution. You're a first-principles thinker who can build a growth strategy from scratch and prioritize ruthlessly across levers. You've built and led a high-performing team and managed agencies, with sharp discernment for performance and a track record of developing people. You lead across teams with a low ego and a strong point of view loosely held, and you're comfortable driving decisions with Product, Design, Finance, and Clinical in the room. You want to be both the strategic layer and the person close enough to the work to catch what's off in an ad account or a landing page.

Job DescriptionAbout Baba Baba is an applied AI lab modernizing risk and care delivery for people with Medicare. We've become the fastest growing digital health system matching people with Medicare and their family caregivers with expert advocates, physicians, medications, lab testing, and AI agents to deliver insurance-covered care across all 50 states. In the last 8 months, we've completed tens of thousands of appointments and partnered with health plans covering more than 4 million Medicare beneficiaries. On any given day, our team's work spans population health research, applied AI research, clinical care delivery, and fintech infrastructure. We're a Series A company with $47M+ in funding. Our team is half engineers, a third former founders, and comes from places like Ramp, Stripe, Liquid AI, Palantir, MIT, and CMU. Our clinical operations are led by the former Executive Director of Care Transitions from the Mount Sinai Health System. We believe that talent density is our greatest competitive advantage. About the Role We deliver fee-for-service care today, are building toward value-based contracts with payers, and are expanding into adjacent Medicare businesses with their own payment and cash timing dynamics. The ideal candidate is comfortable with the Accounts Receivable and Accounts Payable dynamics of insurance driven healthcare businesses. Baba is looking for their Head of Finance & Revenue Operations. This individual will build the finance & accounting function in the company from FP&A, healthcare RCM KPIs, and payroll/compensation of care delivery. You will work alongside leadership to develop the operating model, financial forecast, accounting reconciliation / close, cashflow modeling, board package / materials systems to help the company scale to $100M+ revenue. Our RCM team will report to you. You will report to the CEO and work closely with Operations, Clinical Operations, Growth, and Product & Engineering. This role is full-time and NYC-based; our office is in Soho. Interested candidates should email connor@callbaba.com with a short summary of the most challenging problem they've worked on and a link to their LinkedIn. What You'll Own Cash and forecasting. Build and maintain the 13-week cash forecast and the operating model, accounting for acquisition spend, RCM collection lag, deferred revenue from new lines, and clinician, contractor, and partner payment cycles. Accounting and reporting. Own the monthly close (working with our outside accounting firm), multi-entity accounting across the MSO, professional corporations, and any subsidiaries or acquired entities, intercompany flows, year-round audit readiness (financial and regulatory), and the board and investor reporting package. Unit economics and KPIs. Own weekly reporting for Cost Per Lead, CAC by channel, lead-to-enrolled-to-billing conversion, revenue per patient, gross margin, CAC payback, and net revenue retention. Revenue cycle performance. Manage the RCM Lead and be accountable for total collected revenue: days in AR, clean claim rate, denial overturn rate, and payer-by-payer collection lag. We'd Love to Hear From You If You have 5–12+ years across FP&A, operating finance, or finance leadership at a healthcare services or health tech company, ideally one that grew fast with meaningful working-capital constraints. You have owned a monthly close and a board package, and you have owned an operating model and cash forecast that leadership actually ran the business on. You understand provider-side healthcare revenue: Medicare and Medicaid reimbursement, payer contracting, and why collections lag. You've managed multi-entity accounting with intercompany flows, or are confident you can operate in scaling entities. You've been through audits up close and come out clean: financial statement audits, and ideally payer or Medicare/Medicaid billing audits. You know what auditors ask for, how to keep a business audit-ready year-round, and how to defend a position when it's challenged. You are analytical and hands-on: you build the model yourself, and you're equally comfortable in the ledger. You have managed people and can develop an RCM leader and, over time, a finance team. You thrive in ambiguity, bias toward action, and would rather give a clear answer with stated assumptions than wait for perfect data. You’re looking forward to rethinking outdated or inefficient finance/accounting processes with AI and engineering

Job DescriptionWhat you'll be part of Garner is on a mission to transform the U.S. healthcare system — and we're the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare "win win" — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. Who we want This is a role for someone who wants to work on a hard problem, deliver real impact and be pushed to be the best version of themselves. As an Associate Applied Scientist, you'll be embedded in the Applied Science team. Our members rely on us to answer hard questions — Which doctor should I see? What will it cost? When should we reach out, and how? — and the quality of those answers is determined by the algorithms behind them. This is not a dashboards or descriptive-analytics role. You will own production systems end-to-end: framing the problem, defining the objective function, choosing the right approach (ML, optimization, heuristics, expert systems, or a hybrid), shipping it, and improving it against real-world outcomes. The closest analog outside healthcare is a quantitative researcher at a top hedge fund. What you will do • Ship production algorithmic systems end-to-end, from problem framing to launch to iteration, • Frame messy, real-world healthcare and business constraints into clear objectives, tradeoffs, and decision frameworks, • Define the set of metrics needed to judge whether a solution is working, and validate solutions before they ship, • Choose the right approach for each problem, from machine learning to optimization to heuristics to simple rules, based on what the problem actually calls for, • Bring new ideas to your work, experimenting with approaches beyond the obvious to get better results, • Produce rigorous, well-validated work others can rely on, and review your peers' code and analyses, • Build a deep understanding of the healthcare economy and Garner's place in it To make the role concrete, here are two problems on our near-term roadmap: • Provider tiering optimization. Build a tiering algorithm that jointly optimizes geographic access and total-cost-of-care savings across our doctor network. The objective function, constraints, and tradeoff surface are all open design questions., • Member engagement model. Build an ML system that ingests claims data and in-app behavior to choose the right channel and moment for each touchpoint — SMS, push, phone, or email — to influence member behavior toward better-quality, lower-cost care.What we're looking for, • A Bachelor's or Master's degree (in progress) in Computer Science, Mathematics, Statistics, Economics, or a related STEM field, with an expected graduation date of Fall 2026 or Spring 2027., • A bias toward action, quickly translating ideas into working prototypes to test approaches., • Strong applied problem-solving skills, with the ability to define good metrics and then deliver solutions that improve them., • A solid command of the methods your work calls for and the data your models depend on., • Strong judgment in choosing between statistical models, heuristics, optimization approaches, and simpler algorithmic methods depending on the problem., • Strong communication skills, with the ability to present your work clearly to senior stakeholders., • A desire to do work that matters: and to be held to a high standard while doing it. You're energized by a mission with measurable outcomes, not just good intentions. You engage with AI tools as part of how you do your best work, and hold yourself accountable to outcomes that matter beyond your team's metrics.What you'll get here You'll work on problems that matter, at a company working to change healthcare at scale. You'll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you'll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It's demanding by design. You'll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Technologies we use • Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, HuggingFace, modern LLM tooling and eval frameworks. We pick tools based on the problem, not the resume — bring your judgment. Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation The target base comp range for this role is $150,000. Individual compensation will depend on qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive plan and benefits package, including: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health, and more. Few roles offer this combination: work that is genuinely hard, a mission that is genuinely important, and a team that is genuinely invested in your success. If that's what you're looking for, we'd love to meet you. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com. Equal Employment Opportunity:Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com.

Job Description Be Part Of A High-Performing Team: Join a sophisticated financial services technology environment supporting cybersecurity, data operations, and enterprise risk management initiatives. This team is focused on strengthening how insider risk is detected, measured, and governed across a large, regulated organization. The role sits at the intersection of cybersecurity, data science, analytics, and risk decisioning, contributing to a high-visibility program designed to centralize insider risk data and transform complex behavioral and enterprise signals into actionable insights. What's In Store For You: Engagement: W2 only (no C2C/1099) This is a hybrid opportunity based in Jersey City, NJ, supporting a cybersecurity data lakehouse initiative tied to insider risk and advanced analytics. The role offers the opportunity to work across Cybersecurity, HR, Legal, Compliance, Anti-Fraud, and enterprise protection teams while helping shape risk scoring, model governance, and executive-level reporting for a highly regulated environment. How You Will Make An Impact • Design, build, and refine quantitative models that help identify, assess, and prioritize insider risk across employees, contractors, vendors, and non-human identities., • Partner with data engineers, analysts, cybersecurity stakeholders, and business teams to centralize insider risk data within a cybersecurity data lakehouse., • Develop statistical, machine learning, and analytical frameworks for anomaly detection, classification, clustering, scoring, and behavioral risk modeling., • Translate large, complex enterprise datasets into clear risk signals, defensible models, and actionable business recommendations., • Support the creation of human-centric risk scoring methodologies that improve detection, investigations, governance, and regulatory readiness., • Communicate model outputs, assumptions, and analytical findings to technical and non-technical stakeholders, including senior leadership. Do you bring proven success in data science, risk modeling, and cybersecurity analytics? • 5+ years of experience in data science, quantitative analysis, statistical modeling, or risk analytics., • Bachelor’s or Master’s degree in Data Science, Statistics, Applied Mathematics, Economics, Quantitative Finance, Computer Science, or a related discipline., • Strong experience developing statistical or machine learning models, including regression, classification, anomaly detection, and clustering., • Proficiency with Python and/or R, plus strong SQL skills for large-scale data analysis., • Experience working with complex enterprise datasets and translating analytics into operational or business decisions., • Background supporting Insider Risk, Fraud, AML, Cybersecurity, UEBA, Threat Analytics, or related risk programs., • Familiarity with identity/access data, endpoint telemetry, DLP, email, collaboration monitoring, or similar enterprise security datasets., • Understanding of model explainability, governance, validation, and documentation expectations in regulated environments., • Knowledge of employee lifecycle risk, behavioral analytics, or human-centric risk modeling is strongly preferred., • Strong communication skills with the ability to simplify complex analytical concepts for non-technical stakeholders.

Job DescriptionDescription We're Future, a global leader in specialist media. Our 3,000+ employees power more than 200 trusted brands, helping millions of people discover expert content that informs, inspires, and drives action. Through our websites, magazines, events, newsletters, podcasts, and social channels, we connect passionate audiences with the topics they care about most. You will develop advanced measurement frameworks beyond basic click-and-impression metrics. Your daily work involves building a proprietary measurement ecosystem tailored to modern data infrastructures. You will work closely with our sales teams and external agency partners. You will consult directly with brands to clearly define their success metrics. By translating complex data into accessible narratives, you will showcase true business growth. You will empower our internal teams to bring sophisticated, market-ready solutions to clients. What You'll Do You will report into the VP, Commercial Product and Go To Market Go-To-Market & Vendor Governance • Own the Measurement Narrative: Serve as the definitive technical voice for client and agency management, translating complex attribution frameworks into clear, high-impact business value., • Measurement as a Product: Treat measurement capabilities as a core commercial asset; partner with Sales to transform data insights into packaged media solutions that scale., • Sales Enablement & Decision Tree Design: Co-develop structured decision trees, FAQs, and frameworks to guide Sales and Sales Enablement teams on mapping the right measurement solutions to specific client goals., • Vendor & Commercial Governance: Manage the technical onboarding, benchmarking and financial efficiency of third-party measurement vendors to ensure contract costs directly fuel revenue growth. Technical Methodologies & Data Science • Causal Experimentation: Guide the data science design, execution, and evaluation of advanced incrementality testing, establishing scientific rigor via Geo-lifts, split-market holdouts, and randomized controlled trials., • MMM Data Architecture: Systematically map and pipeline complex media exposure data to cleanly ingest into global agency holding companies and corporate Marketing Mix Models., • Identity & Privacy Engineering: Own the technical identity roadmap—navigating MAIDs, clean rooms, cookieless identifiers, and privacy compliance (CCPA/GDPR)—to ensure high-fidelity signal capture across the ad stack. Product Innovation & 3-Year Vision • Close the Product Loop: Funnel behavioral, network, and creative insights directly back to Product Management to inform future core builds (acting as a key stakeholder for initiatives like the Product Manager Atelier)., • Scale Multi-Product Frameworks: Design and execute sophisticated measurement for performance tools (e.g., Future Optic, Helix) while expanding capabilities across social, audio/podcasts, and lower-funnel iterations., • Architect the Proprietary Ecosystem: Oversee the 3-year migration from third-party dependencies to an in-house, full-stack ecosystem powered by first-party pixels, predictive models, and custom testing frameworks. Experience That Will Put You Ahead Of The Curve • Experience: 4+ years in Marketing Science, Ad Analytics, or Attribution within a digital publisher, advanced measurement vendor, or quantitative media agency., • Agency Ecosystem Fluency: Deep understanding of major agency holding companies, their workflows, operational RACI matrix configurations, and media-planning vocabulary., • Measurement Mastery: Strong practical knowledge of MTA, Geo-testing, and MMM, alongside platform attribution algorithms (Meta, Google, DV360) and modern Data Clean Rooms., • Client-Facing Impact: 2+ years presenting complex data methodologies directly to brands and agencies, with a proven ability to turn technical frameworks into clear, commercial stories., • Technical Stack: Proficiency in SQL and data visualization tools. Hands-on experience with Python or R for custom statistical analysis is highly preferred., • Education: Bachelor’s degree in a quantitative field (Economics, Statistics, Data Science, etc.). A Master’s or PhD in Econometrics or Applied Statistics is a strong plus. Compensation and Benefits The expected range for this role is $162,000 - $180,000 • Uncapped leave, because we trust you to manage your workload and time, • When we hit our targets, enjoy a share of our profits with a bonus, • Refer a friend and get rewarded when they join Future, • Well-being support with access to our Colleague Assistant Programs, • Opportunity to purchase shares in Future with our Share Incentive Plan Internal job family level Commercial 3 This is a hybrid role from our New York office, working three days from the office and two from home. Diversity and Inclusion Diversity is central to who we are. We believe different perspectives spark new ideas, fuel creativity, and drive innovation. That's why we're committed to building an inclusive workplace where everyone feels valued, respected, and empowered to succeed. We're dedicated to fair and inclusive hiring practices and welcome talent from all backgrounds, because diverse teams build stronger futures. Please let us know if you need any reasonable adjustments. #LI-Hybrid

Job Description We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.) Our Mission: To actively connect people to their next great opportunity. Who We Are: ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android. Summary: We are looking for a Sr. Manager, Decision Science to lead our Marketplace Decision Science team at ZipRecruiter. Our Marketplace team optimizes supply and demand by turning matches into hires for jobseekers and employers, and driving sustainable revenue for ZipRecruiter. As a Sr. Manager supporting the Marketplace Team, you will be a true player-coach: developing a small, high-performing team of decision scientists while personally leaning in on high impact analyses in your problem space. You will own how marketplace quality is measured, set the bar for experimentation rigor on ranking changes, and translate a complex, often ambiguous problem space into clear strategy for Product, Engineering, and business leadership. Key Focuses: • Lead & Develop a High-Performing Team: Manage, coach, and grow a small team of decision scientists supporting the Marketplace area. Own performance and development conversations, set clear expectations, identify each person's strengths and growth opportunities, and foster a culture of connection, belonging, and results. Attract and develop talent as the team scales., • Player-Coach Technical Leadership: Lean in on the highest-stakes analyses in the Marketplace space and be able to dive into the details. Set methodological standards for the area, pressure-test causal claims, and provide strategic guidance on decision science methodology for projects that extend beyond your immediate team., • Lead Decision Science for the Marketplace Area: Own the decision science agenda for a broad and often ambiguous problem space — partnering with stakeholders to define which questions are worth asking, setting analytical priorities, and holding the team to a high bar of rigor across everything it ships. This spans work such as defining the metrics and diagnostic frameworks that describe supply and demand balance and marketplace liquidity, and setting the standard for how ranking changes are evaluated through well-designed, large-scale A/B tests that deliver rapid, reliable insight., • Evaluate Business Tradeoffs & Quantify Long-Term Impact: Build the frameworks to weigh competing priorities — jobseeker experience against employer outcomes, short-term metric movement against durable growth. Quantify the ROI of initiatives, and where the answer isn't visible in a two-week experiment, model and forecast the longer-term metric and revenue impact so leadership can prioritize based on estimated impact and data-driven confidence., • Strategic Cross-Functional Partnership: Serve as the trusted Decision Science leader for Product, Engineering, and Finance/GTM partners. Influence the roadmap by identifying new opportunities, and garner stakeholder buy-in by demonstrating a strong understanding of cross-functional priorities and capabilities., • Executive Communication & Advocacy: Synthesize complex quantitative findings into clear, actionable business strategy for executive leadership and senior stakeholders. Regularly influence key decisions through effective storytelling and expert knowledge, and advocate for Decision Science to be in the room for the discussions that matter., • Prioritization, Resourcing & Team Efficiency: Prioritize effectively across multiple concurrent projects and align your team's capacity to the goals of the Marketplace area and the company. Be opinionated about and set standards for Data and AI tooling for the team. Minimum Qualifications: • Bachelor's degree in a quantitative field such as mathematics, computer science, operations research, economics, or equivalent experience., • 8+ years of product analytics or data science experience in a product/engineering/tech environment., • 2+ years of people management experience, including direct responsibility for performance management and career development., • Demonstrated ability to lead data teams on top organizational priorities with high levels of trust from senior stakeholders and leadership., • Experience designing and analyzing A/B tests to drive product decisions., • Experience developing metric and tradeoff frameworks, including modeling or forecasting the longer-term metric and revenue impact of initiatives, • Strong business acumen and a demonstrated ability to connect data analysis to measurable business outcomes., • Excellent communication and presentation skills, with a track record of synthesizing complex findings for both technical and non-technical audiences, including executive leadership. Preferred Qualifications: • Prior experience with two-sided marketplaces (e.g., job boards, e-commerce, or similar platforms), particularly supply and demand dynamics., • Experience partnering with ML or Applied Science teams on ranking, search, or recommendation systems. As part of our team you'll enjoy: • Competitive salary, • Exceptional benefits package, • Flexible Vacation & Paid Time Off, • Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is $207,500-$265,000 Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations. Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits. ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics. Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at: https://www.ziprecruiter.com/careers/job-applicant-privacy-notice

Job Description Job Opening APPLICATION DEADLINE DATE: October 28, 2026 JOB TITLE: Senior Certification Analyst, SG-18, PEF LOCATION: Albany/NYC APPOINTMENT TYPE: Permanent JURISDICTION CLASS: Non-Competitive DEPARTMENT: Division of Minority & Women-owned Business Development 625 Broadway Albany, NY 12245 -OR- 5 Grand Central East New York, NY 10017 BASIC FUNCTION: The incumbent will follow the Division’s certification application review process to timely and accurately review certification applications and develop recommendations regarding the eligibility of certification applications from Minority and Women-owned Businesses (MWB) as to their ownership and managerial and operational control pursuant to Article 15-A, Section 314 of the Statewide Certification program. S/He will partner with Business Development to assist recently certified firms to learn about New York State contract opportunities, the bidding and contracting process, along with other resources offered by the Division. The incumbent will also answer questions regarding the application process and corresponding documents required to meet Article 15-A requirements. WORK PERFORMED: • Review certification applications for completeness., • Prepare written requests for clarifications to applicants based on review and analysis of the application and supporting documentation., • Contact applicants requesting additional documentation in cases of incompleteness or necessity for up-to-date information on business activities., • Conduct both virtual and in-person state-wide interviews of applicants, as well as in-person and virtual site visits, as necessary., • Ascertain application’s eligibility for certification., • Prepare checklists and final reports focusing on issues of ownership, operational and managerial control, and develop conclusions relative to applicant eligibility for MWBE status., • Represent the agency by participating on panels for various business seminars. EDUCATION & REQUIREMENTS: Six years of experience in contract compliance, affirmative action, or minority and women’s business enterprises. This experience must include the following: • Planning, developing, implementing, and reviewing programs dealing with minority business enterprise, affirmative action, minority and women’s business program coordination, affirmative action compliance review, OR, • Labor relations directly relating to affirmative action, OR, • Experience in the development and administration of programs designed to facilitate minority and women’s access to employment or business opportunities in the public or private sector. Substitution: The following substitutions for the experience described above may be applied as follows: • An associate degree in business, computer science, marketing, math, finance, accounting, economics, public administration, public policy, or a related field, may substitute for two years of experience described above., • A bachelor’s degree in business, computer science, marketing, math, finance, accounting, economics, public administration, public policy, or a related field, may substitute for four years of experience described above., • A J.D. or master’s degree in business, computer science, marketing, math, business administration, economics, public administration, public policy, or a related field, may substitute for one additional year of experience described above., • Two years of experience as an Assistant Minority Business Specialist or as a Minority Business Specialist I may substitute for six years of experience. SALARY RANGE: $66,964 - $88,970 (plus $4,150 location pay if filled in NYC) Note: The starting salary for candidates with no prior State service will be at the minimum hiring rate. ADDITIONAL: If interested in this position, please forward a cover letter and resume to the e-mail address below by October 28, 2026. Be sure to indicate the position title, vacancy ID#, and location you are applying for and specify how you meet the minimum qualifications in your cover letter. INQUIRE NYS Department of Economic Development Human Resources Office 625 Broadway Albany, NY 12245 Fax: (518) 292-5852 E-Mail: DED-HR@esd.ny.gov New York State is an Equal Opportunity/Affirmative Action employer. Minorities, women, and individuals with disabilities are encouraged to apply. Please contact Human Resources if you require an accommodation. 9/28/2026 Reference #01028 & #01062 Pursuant to Executive Order 161, no State entity, as defined by the Executive Order, is permitted to ask, or mandate, in any form, that an applicant for employment provide his or her current compensation, or any prior compensation history, until such time as the applicant is extended a conditional offer of employment with compensation. If such information has been requested from you before such time, please contact the Office of Employee Relations at (518) 473-3130 or via email at response@oer.ny.gov

Job Description About Overdeck Family Foundation Overdeck Family Foundation (“the Foundation”) was founded in 2011 to provide all children the opportunity to unlock their potential. The Foundation focuses on enhancing education through funding efforts in early childhood, hands-on STEM education, and K-9 programs, supporting both educators and student-centered learning environments. Our grantmaking and strategic support focus on unlocking innovation, evidence, and growth opportunities to accelerate key academic and socioemotional outcomes for all children. At Overdeck Family Foundation, we achieve our impact by collaborating with rigor, fostering a culture of curiosity and learning, and living our core values to drive meaningful change. Visit www.overdeck.org for more information on our foundation, including our research repository. The Research Fellow Position Overdeck Family Foundation is seeking a Research Fellow to work with the Research & Impact Officer, Meghan McCormick, to support the Foundation’s evidence and research efforts. This role will contribute to activities including evidence reviews for prospective grantees, evidence summaries for funding recommendations, and targeted communication activities such as updating summaries of research funded by the Foundation. The position is ideally suited for advanced doctoral students or post-doctoral researchers in economics, public policy, sociology, applied psychology, or education, particularly those with expertise in econometrics and K-12 education. What You’ll Help Us Do: Conduct evidence reviews to assess potential grantee organizations against the Foundation’s goals and priorities. Develop evidence summaries to support funding recommendations and presentations. Collaborate on updating and maintaining a repository of research studies funded by the Foundation. Support communications activities by creating clear, concise summaries of research findings. Who You Are: You are outcomes-driven. You are motivated by the Foundation’s mission to open doors for every child in the U.S. by measurably enhancing education both inside and outside the classroom. You bring expertise in quantitative research. You have advanced training in research methodology (ex: experimental and quasi-experimental designs), knowledge of the federal ESSA evidence tiers, and experience conducting independent research. You communicate effectively. Your ability to synthesize and clearly present complex research findings ensures your work drives understanding and decision-making. You are independent and proactive. You excel at managing your tasks and producing high-quality outputs with minimal supervision. You value collaboration. You’re a team player, open to feedback, and eager to work with internal colleagues to enhance the Foundation’s learning and impact. What You’ve Done: Advanced doctoral coursework or a post-doctoral position in a relevant field. Expertise in econometrics, quantitative research methods, and K-12 education preferred. Strong written and verbal communication skills. Demonstrated ability to work independently and meet project deadlines. Working at Overdeck Family Foundation This fellowship opportunity will span from March to October 2025, with an estimated time commitment of 35-40 hours per month. Overdeck Family Foundation will offer the Research Fellow a competitive monthly retainer of $2,500, totaling $20,000 for the full engagement. The role is fully remote though the Fellow will be welcome to join select meetings with the team in person at the Foundation’s New York City offices based on geographic proximity. The Research Fellow may perform duties as convenient though would be expected to be available to join occasional meetings or check-ins during the Foundation’s core working hours (10 a.m. to 4 p.m. ET). How to Apply Please complete the application form, which includes uploading the following materials: Resume/CV Example of Original Research: Submit an original research paper that you have led or co-led. This can be a working paper or a published paper. Example of a Literature Review: Share a literature review that you have led. This can be either published or unpublished.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Applied Economics & Finance Benchmark Specialist Type: Contract Compensation: $77–$98/hour Location: Remote Commitment: 10+ hours/week Role Responsibilities • Author original economics and finance questions that test deep conceptual understanding., • Ensure questions are unambiguous, self-contained, and precisely defined., • Rate each question's difficulty: Medium, Hard, or Expert., • Provide 1 correct answer and 9 plausible but subtly incorrect alternatives., • Write step-by-step Chain-of-Thought solutions in markdown format., • Supply 1–5 academic references per question from reputable sources., • For verification tasks: flag issues with clarity, completeness, precision, or solvability and justify any edits made. Qualifications Must-Have • PhD or doctoral candidate in Economics, Finance, or a closely related field., • Master's degree considered for candidates with exceptional depth in a specific subdomain., • Strong command of graduate-level economic theory, quantitative methods, and financial modeling., • Excellent written English and ability to express complex ideas clearly and concisely. Preferred • Experience with academic research, CFA/CPA certification, or financial industry expertise. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description Job Summary: Just Salad is seeking an Analyst of Finance & Business Intelligence (BI) to join our Finance team. In this high-visibility role, you will go beyond traditional reporting to drive financial planning, analytics, and data infrastructure across a rapidly expanding restaurant network. The ideal candidate bridges rigorous financial modeling with hands-on BI deployment. You will leverage cutting-edge AI tools (Claude, ChatGPT, Gemini) daily to accelerate forecasting, automate workflows, and deliver strategic insights to executive leadership.In line with Just Salad’s mission to make everyday health and sustainability possible, you will also support initiatives to reduce Just Salad’s environmental footprint. You will serve as a strategic partner to senior executives (including CEO, CFO), translating complex data into clear insights and actionable business strategies. This position is onsite in our NYC office. Reports to: Director of Finance We value partnership, incubate good ideas, inspire passion, and celebrate innovation. In this role, you will champion our culture while executing the following: Key Responsibilities Financial Analysis & Reporting Manage store-level financial tracking, same-store sales performance, and core P&L modeling. Build financial models for new store growth, menu pricing, marketing capital allocation, and ad-hoc strategic projects. Prepare executive reporting packages, variance analyses, and investor presentations for the CFO and Board. Lead ad hoc modeling, competitive benchmarking, and scenario analysis to support key operational decisions. Establish and monitor cross-functional KPIs across operations, marketing, finance, and supply chain. Deliver data-driven, actionable recommendations to leadership — bringing a strong point of view to every analysis. Business Intelligence & Analytics Deploy and govern executive BI dashboards, ensuring clean, analysis-ready datasets for department leaders. Act as internal SME on reporting infrastructure, partnering with Tech and vendor teams to bridge data gaps. Utilize modern AI platforms to automate reporting workflows and accelerate insight generation. Oversee menu cost tracking and pricing analysis in collaboration with Supply Chain and Culinary. Digital Analytics Analyze digital channel performance across app, web, and third-party delivery platforms (traffic, conversion, mix). Drive loyalty program analytics, evaluating engagement, redemption patterns, offer effectiveness, and customer LTV. Build dashboards tracking guest frequency, customer churn, cohort segmentation, and campaign ROI. Partner with Marketing to model business cases for menu updates, digital initiatives, and personalization engines. Evaluate third-party delivery economics (DoorDash, Uber Eats, Grubhub, Sharebite) and catering fee structures. Translate digital metrics into strategic investment and optimization recommendations for Marketing leadership. Qualifications: BS in Finance, Economics, Statistics, Applied Math, or related field; 1–2 years of experience in FP&A, consulting, data science, investment banking, investment management, or research. Strong proficiency with modern AI tools (Claude, ChatGPT, Gemini) for analytics and workflow automation. Advanced Excel skills; working knowledge of SQL and cloud data warehouses (Snowflake or similar). Proven track record of managing competing priorities and delivering under tight timelines. Comfortable navigating raw, complex, and unstructured data across multiple platforms. Excellent communication skills with the ability to convey complex insights clearly to non-technical stakeholders. Self-starter with strong problem-solving skills and an ownership mindset. Experience in restaurant, hospitality, or multi-unit retail is a plus. Benefits: Salary range: $90,000 - $100,000 Bonus: Eligible to participate in our Just Salad’s Corporate Bonus program. Paid vacation, holidays, and sick time Medical, Dental, and Vision insurance Voluntary Long-Term Disability, Hospital Indemnity, Accident, Life + AD&D Insurance Employee Assistance Program Eligibility to participate in our 401K program Pre-tax benefits (FSA, HSA, and Commuter Benefits) Fitness discounts Summer Fridays Free Just Salad About Us: Just Salad is a fast-casual restaurant chain with a mission to make everyday health and sustainability possible. The brand serves craveable, accessible, plant-centric meals made with homemade dressings, prepped-daily produce, from-scratch recipes and fresh, flavorful ingredients. Guests can choose from over 15 chef-designed salads, wraps, warm bowls, market plates, soups and smoothies, including classic offerings and rotating seasonal favorites. Empowering customers to “Eat with Purpose,” Just Salad is a Certified B Corporation™ and home to the world’s largest restaurant reusable bowl program, as well as the first U.S. restaurant chain to carbon label its menu and offer a Climatarian menu category. The company was founded in 2006 and has more than 125 locations across New York, New Jersey, Connecticut, Florida, Illinois, Pennsylvania, Massachusetts and Washington, D.C.

Job DescriptionCompany Description With more than 100 years of experience, Sika is a worldwide innovation and sustainability leader in the development and production of systems and products for commercial and residential construction, as well as the transportation, marine, automotive, and renewable energy manufacturing industries. Sika is a specialty chemicals company with a globally leading position in the development and production of systems and products for bonding, sealing, damping, reinforcing, and protection in the building sector and industry. Sika has subsidiaries in 103 countries around the world, produces in over 400 factories, and develops innovative technologies for customers worldwide. In doing so, it plays a crucial role in enabling the transformation of the construction and transportation industries toward greater environmental compatibility. Approximately 33,000 employees generated CHF 11.20 billion in sales in 2025. Job Description • Responsible for developing successful value-added sales using solution based and consultative sales techniques within assigned sales territory to increase sales in all Sika Target Markets. This includes calling on Owners, Architects, Consultants, Engineers, Design-Build firms, Contractors, and all other influencers/opinion leaders in the territory., • Learning the main Sika product lines (Target Markets) critical for an effective value-added and solution-based approach, including Liquid Applied Membranes, Sealing/Bonding, Refurbishment, Roofing, Flooring, Building Finishing, Concrete and Waterproofing., • Employ foundational knowledge to identify and position products and solutions to create sales opportunities., • Make sales calls to uncover construction projects in the earliest stages., • Build a strong pipeline of major projects in the territory with large potential across the Target Markets., • Achieve specifications and work to ensure Sika products are approved and specified prior to projects bidding., • Communicate with local Sika sales colleagues in all Target Markets appropriately to maximize the sales opportunities on major projects and at key accounts., • Organize Sika’s added-value sales efforts for strategic projects and accounts in the territory including major seminars/symposiums such as Sika hosted events to demonstrate to customers Sika’s full capabilities., • Perform local value-added sales efforts using Salesforce.com, our customer relationship management solution, as the main communication tool with all team members contributing and participating to maximize sales opportunities on identified strategic pursuits., • Up to 20% domestic and international travel required to various client sites nationwide. Local telecommuting permitted.Qualifications, • Bachelor’s degree in Business Administration, Economics, Marketing, Management, or a related field of study (or foreign equivalent) and 3 years of related experience required., • Experience must include one (1) year of:, • Technical Sales in the Building Construction industry, • Specification codes, • Building codes and applications, • P&L Management, • Strategic Planning, • Account Management, • Customer Relationship Management, • Contract negotiations, • Power BI, • Presentations, • Read/interpret construction documents (including drawings, details, plans), • Specification writing, • Working on cross-selling teams Additional Information • 401k with Generous Company Match, • Bonuses, • Medical, Dental, and Vision Benefits, • Paid Parental Leave, • Life Insurance, • Disability Insurance, • Paid time off, paid holidays, • Floating holidays + Paid Volunteer Time, • Wellness/Fitness Reimbursements, • Education Assistance, • Professional Development Opportunities, • Employee Referral Program & More! Sika Corporation is committed to a work environment that supports, inspires, and respects all individuals that apply. As an equal opportunity employer Sika will consider all qualified applicants without discrimination on the basis of race, color, religion, sex, pregnancy, sexual orientation, gender identity, age, disability, national or ethnic origin, or other protected characteristics. We offer competitive salaries, aligned with local market benchmarks and the specific scope and responsibilities of each role. Compensation is determined based skills relevant to the position, education and/or training. We are committed to fair and equitable pay practices in accordance with applicable laws and regulations.

Job Description CCaventus is a global asset manager focused on credit and asset-oriented investments, encompassing a full range of corporate, real estate, and structured finance opportunities. CCaventus is backed by institutional sponsors and built on the strength of a proven credit platform, powered by permanent capital. We are a talent-driven, multi-strategy engine led by a team of handpicked portfolio managers with decades of experience and extensive industry expertise in their respective fields. CCaventus is looking to expand the Valuations team, through the addition of a Valuations Senior Analyst / Associate. This is a technically demanding, senior individual contributor role with team leadership responsibility. In this role, the successful candidate will work under the EVP of Valuations. Responsibilities: • Complex Financial Instrument Valuations – Lead and own fair value engagements for a broad range of financial instruments, including: ◦ Exotic/structured derivatives (options, or option-linked instruments) ◦ Fixed income: corporate bonds, leveraged loans, and distressed/illiquid debt ◦ Equity-linked and hybrid instruments: convertible bonds, warrants, and preferred equity with complex features ◦ Options and contingent claims across public and private underlying assets – Build, maintain, and critically review valuation models - including DCF, binomial lattice, Monte Carlo simulation, Black-Scholes and its extensions, and reduced-form/structural credit models – Select and justify appropriate methodologies given instrument complexity, liquidity, observability of inputs, and applicable accounting guidance – Calibrate models to market data and perform robust sensitivity and scenario analysis – Source and analyze market data inputs including yield curves, credit spreads, implied volatilities, and prepayment assumptions • Accounting Standards & Financial Reporting Support – Apply and interpret relevant US GAAP accounting standards as they govern fair value measurement and financial instrument reporting, including: ◦ ASC 820 (Fair Value Measurement): Level 1/2/3 hierarchy, principal market, highest-and-best-use, unit of account, and Day 1 P&L considerations ◦ ASC 946 (Investment Companies): NAV-basis reporting, fair value for fund portfolios, and related disclosure requirements ◦ ASC 825 (Financial Instruments): fair value option elections and related disclosure – Partner with external auditors and fund administrators on fair value sign-offs, Level 3 roll-forwards, and valuation committee presentations – Prepare and review technical memoranda documenting valuation conclusions, methodology rationale, and accounting treatment linkages – Assist portfolio companies or clients in designing and implementing valuation policies consistent with applicable standards • Team & Engagement Leadership – Lead engagement workflow end-to-end: scoping, timeline management, model review, quality control, and final deliverable – Mentor and review the work of junior Analysts and Associates on the Valuations team – Act as a primary point of contact for internal portfolio teams and external clients on instrument-level valuation questions – Communicate valuation conclusions clearly to non-technical stakeholders including CFOs, controllers, and audit committees Requirements • Bachelor’s degree in Finance, Applied Mathematics, or other quantitative finance major, or Economics with a strong interest in pursuing professional designation; Master’s degree is a plus., • Experience with valuing and reviewing debt and complex financial instruments/derivatives (swaps, contingent consideration, convertible debt, etc.) and related methodologies/ models/ software (Monte Carlo simulation, Binomial Models, Thomson Reuters or Bloomberg)., • 3-5 years valuation experience with a Big 4 or Top 20 public accounting and advisory firm., • Demonstrated experience in both performing valuations and reviewing common stock, debt and derivative valuations, etc., • Experience working with Capital IQ., • Highly Proficient in Microsoft Office, especially Excel and Word, • Good understanding of the accounting standards related to financial instruments and valuations is a plus., • Ability to work on multiple engagements simultaneously with competing priorities in a rapidly growing, fast-paced, interactive, results-based environment, • Excellent written, interpersonal, and presentation skills, • Python programming/coding is a plus, • Individuals on the path to obtaining the CFA qualification is a plus. This job description is not an exhaustive list of all responsibilities, and duties may change Benefits • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Life Insurance (Basic, Voluntary & AD&D), • Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity), • Short Term & Long Term Disability, • Training & Development, • Free Food & Snacks, • Wellness Resources

CPGR Growth Leader - AI Engineering, Strategic Accounts Fractal is a strategic AI partner to Fortune 500 companies, with a vision to power every human decision in the enterprise. We believe the future belongs to organizations that combine human imagination with intelligent systems, and Fractalites are the ones helping build that future. We are seeking a senior, client-facing growth leader to own the AI Engineering workstream across a portfolio of strategic accounts. This leader will create C-suite access, originate enterprise transformation opportunities, and shape them into scaled, multi-year programs spanning AI, data, cloud, and engineering modernization. Location: New York City, NY or Chicago, IL (Onsite) Note: This position is not eligible for immigration sponsorship at this time. Role Overview: As Growth Leader - AI Engineering, Strategic Accounts, you will sit at the intersection of strategic account growth, technology advisory, and transformation execution. You will build trusted relationships with CIOs, CTOs, CDOs, business executives, and their leadership teams; understand their enterprise priorities; and translate those priorities into a differentiated AI engineering and modernization agenda. You will own the opportunity lifecycle from executive dialogue and problem definition through solution shaping, commercial closure, mobilization, and scale. Success means moving beyond isolated pilots: creating funded transformation roadmaps, building durable executive sponsorship, and expanding Fractal's role into repeatable, enterprise-wide programs with measurable business and technology outcomes. Key Responsibilities: Strategic Growth & C-Suite Engagement • Own the AI Engineering growth agenda, qualified pipeline, bookings, revenue, and profitable expansion across assigned strategic accounts., • Develop and sustain trusted-advisor relationships with CIOs, CTOs, CDOs, Chief Digital Officers, business presidents, and senior technology leaders across multiple buying centers., • Create executive-level points of view on AI-led transformation and enterprise modernization, connecting technology choices to growth, productivity, resilience, speed, and customer experience., • Map account priorities, stakeholders, budgets, decision processes, and competitive positions; convert this insight into focused account and pursuit plans., • Lead executive briefings, innovation sessions, modernization assessments, and co-creation workshops that generate sponsored, outcome-led transformation opportunities. Transformation Origination & Enterprise Modernization • Identify and shape strategic initiatives across data-platform and cloud modernization, AI/ML engineering, GenAI and agentic AI, application and software engineering, intelligent operations, and enterprise automation., • Translate a client's current-state technology estate and business ambition into a pragmatic multi-year roadmap, sequenced value cases, target architecture, investment case, and transformation governance model., • Connect modernization of legacy data, applications, integration, and engineering practices with AI readiness, ensuring that foundational work enables near-term business value., • Advise clients on responsible AI, security, privacy, model risk, data governance, interoperability, and operating-model implications required for enterprise adoption., • Bring relevant Fractal capabilities, platforms, accelerators, and industry solutions together into a coherent transformation proposition rather than standalone offerings. Pursuit Leadership & Program Scale • Lead large, complex pursuits from qualification through proposal, solution architecture, value engineering, commercials, negotiations, and executive closure., • Build compelling business cases with clear baseline metrics, benefits, investment requirements, risks, dependencies, and a credible path from proof of value to production scale., • Orchestrate consulting, AI, data, cloud, product, design, and engineering teams to create one integrated client narrative, solution, and delivery model., • Stay actively engaged through mobilization and critical delivery milestones, protecting the original value thesis, executive confidence, and expansion potential., • Turn successful pilots into reusable platforms and multi-business, multi-region programs; establish references and executive advocacy that accelerate growth across the portfolio. Ecosystem & Practice Leadership • Build joint propositions and go-to-market motions with Hyperscalers, data and AI platforms, and other strategic technology partners., • Create reusable modernization plays, reference architectures, executive narratives, solution blueprints, estimation models, and pursuit assets that improve win rate and speed., • Share market signals and client needs with capability leaders, helping shape Fractal's AI Engineering offerings, investments, alliances, and talent priorities., • Coach account, solution, and engineering leaders; foster high standards of commercial ownership, technical credibility, collaboration, and client stewardship. Measures of Success • Growth in qualified pipeline, bookings, revenue, margin, and share of wallet across strategic accounts., • Depth of CIO and technology-leadership sponsorship, and conversion of advisory conversations and pilots into funded, multi-year transformation programs., • Business value realized, client advocacy created repeatability across business units or regions, and disciplined transition from pursuit to delivery. Required Experience & Skills: • 15+ years of experience in technology consulting, digital engineering, data and AI services, or enterprise transformation, including significant responsibility for growth in large strategic accounts., • A demonstrated record of originating, shaping, and winning complex, multi-million-dollar or multi-year transformation programs with enterprise clients., • Established credibility with CIOs, CTOs, CDOs, and senior business leaders, with the presence and judgment to challenge constructively and build consensus., • Strong understanding of enterprise modernization across cloud-native architecture, data platforms and Lakehouse patterns, APIs and integration, microservices, DevSecOps, platform engineering, MLOps/LLMOps, observability, and legacy transformation., • Working depth in applied AI, GenAI, agentic systems, RAG, model and data engineering, AI governance, and the requirements for secure, reliable production deployment., • Ability to connect technical architecture and engineering choices to business outcomes, operating-model change, adoption, and a quantified value case., • Strong commercial acumen across opportunity qualification, deal strategy, pricing, contracting, negotiation, risk management, and portfolio economics., • Experience leading multidisciplinary, geographically distributed teams through influence in a matrixed organization., • Excellent executive communication, facilitation, storytelling, and written proposal skills; able to make complex technology choices clear to both business and technical audiences., • Industry experience in CPG, Retail, or another data-intensive enterprise sector is preferred; willingness to travel to client locations as required. Leadership Competencies: • Strategic account entrepreneurship: sees whitespace, creates momentum, and takes end-to-end ownership for growth., • C-suite influence: earning trust through insight, candor, relevance, and consistent follow-through., • Transformation thinking connecting business ambition, technology modernization, operating-model change, and measurable value., • Technical credibility: goes deep enough to guide architecture and engineering trade-offs without losing the executive narrative., • Commercial discipline: qualifies rigorously, builds investable value cases, and protects sustainable economics., • Enterprise orchestration: aligns diverse client, Fractal, and partner stakeholders around one outcome and plan., • Scale mindset: designs for adoption, reuse, governance, and repeatability from the beginning., • Judgment and integrity: makes responsible decisions, surfaces risks early, and puts long-term client trust first. Education: • Bachelor’s degree in engineering, Computer Science, Business, or a related field. A master's degree, MBA, or equivalent advanced qualification is preferred. Pay: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the starting base salary for this role is $220,000, with the potential for a higher base depending on experience, skills, and overall fit for the position. This role is also eligible for a performance-based bonus tied to achieving sales goals related to new client acquisition and project growth. Benefits: As a full-time employee of the company, or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

A full-stack analytics practitioner, strong across analytics engineering (dbt, semantic layer), business intelligence and dashboarding, and data science (predictive modeling, causal inference, optimization). Economics, Statistics, Computer Science, Operations Research, Applied Mathematics); Master��

Economics, Statistics, Computer Science, Operations Research, Applied Mathematics); Master’s degree is a plus. Role: Director, Client Data Science. We’re looking for a Director, Client Data Science to own that foundation: the reporting, automation, and metrics that make sure our external story h

We are seeking a highly technical, detail oriented Middle Office Trade Support candidate to directly support macro PM's. This role sits at the intersection of trading, finance, and technology, ensuring trades are monitored and accurately booked, structured, and reflected across internal systems in line with Front Office intent, valuation methodologies, and downstream reporting. The ideal candidate is execution focused, intellectually curious, and technically strong—someone who thrives in a fast paced, high accountability environment while maintaining exceptional accuracy and control. About the Role This role involves supporting the execution of derivative transactions and ensuring they are accurately processed and reported. Must have experience with F/X and derivatives trade support., strong Excel, and be AI knowledgeable. Responsibilities • Book and validate a broad range of derivative transactions with precision and speed, • Support the full trade lifecycle, including resets, payments, and amendments, • Partner closely with Front Office, Deal Teams, Tax, and Portfolio Finance to ensure trades align with strategy, structure, valuation, and tax considerations, • Coordinate with Technology teams to ensure seamless trade capture across Front Office systems, valuation platforms, and reporting tools, • Build and maintain strong relationships with internal stakeholders, counterparties, and fund administrators to support smooth execution and issue resolution, • Identify process improvement opportunities and develop automation solutions using Excel, Python, and AI tools, • Cross train across additional derivative and private market products to enhance team scalability and coverage Qualifications • Bachelor’s degree in Finance, Accounting, Economics, or a related field, • 3–7+ years of experience in middle office, trade support, or derivatives operations, • Hands on experience with derivative trade booking and lifecycle management in a front office aligned environment, • Solid understanding of valuation concepts across Swaps, FX, Rates, Futures, Credit, and Fixed Income, • Experience with Bloomberg and MarkitWire (Rates and FXIR experience is a plus) Required Skills • Advanced Excel skills (data manipulation and analysis), • Python or similar tools for automation and analytics, • Familiarity with AI tools applied to operational efficiency and workflow optimization, • Experience with trade capture and reconciliation systems including Bloomberg and MarkitWire (Rates and FXIR experience is a plus) Qualified candidates should send resumes to ws@rockwood-search.com . Please put your Name and “Front Office- Trade Support” in the subject line and attach your resume in word or PDF document form. Also include contact information, salary requirements and any applicable information in the body of the email.

$35 - $100/hourpayEViewsMacroeconomicsmicro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Macroeconomic Modeling Specialist (EViews) Job Type: Contract Location: Remote Job Summary Join our customer's team as a Macroeconomic Modeling Specialist (EViews) and drive the creation, validation, and automation of advanced macroeconomic models. Leverage your expertise in EViews to develop robust time-series and forecasting solutions, contributing essential economic insights that inform key decisions at the organizational level. This remote opportunity is ideal for a passionate modeler who values clarity in communication and excellence in quantitative analysis. Key Responsibilities • Design and implement sophisticated time-series models such as VAR, VECM, ARIMA, and cointegration frameworks using EViews., • Conduct rigorous model diagnostics and validation to ensure robustness and reliability of forecasts., • Automate forecasting workflows for efficiency and scalability within the modeling process., • Translate complex statistical outputs into clear, actionable macroeconomic insights for both technical and non-technical stakeholders., • Document modeling approaches and results with precise, concise written reports., • Collaborate with the customer's team to integrate modeling results into broader economic narratives and policy recommendations., • Stay current with macroeconomic modeling best practices and EViews software updates. Required Skills and Qualifications • Extensive hands-on experience with EViews, including scripting and automation functionalities., • Proven expertise in building, estimating, and validating time-series models—especially VAR, VECM, ARIMA, and cointegration models., • Deep knowledge of model diagnostics, stability tests, and forecasting accuracy measures., • Strong quantitative background with the ability to explain complex modeling processes in clear written and verbal communication., • Demonstrated success in automating modeling and forecasting workflows., • Ability to extract economic meaning from statistical outputs and present findings insightfully., • Self-driven, detail-oriented, and adept at remote collaboration. Preferred Qualifications • Advanced degree in Economics, Econometrics, Applied Statistics, or related field., • Previous experience supporting central banks, policy institutions, or financial sector clients with macroeconomic modeling., • Familiarity with additional econometric software or programming languages (e.g., R, Python, Stata).

Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, Economics, Operations Research, Public Health, Biomedical Informatics, or a related discipline. At least 12 years of experience across data science, machine learning, advanced analytics, applied statistics,

Company Description Meridian brings context-aware AI agents to industries that have traditionally been overlooked in technology adoption such as supply chain, manufacturing, staffing and more. The company works closely with sector experts to automate operations, enhance decision-making, and unlock new efficiencies through applied AI. Meridian is backed by leading investors, including Sunflower Capital, Pear VC, SV Angel, and angels from Anthropic. Team members join a fast-moving environment where they can shape products from the ground up and see their work deployed directly in critical industry workflows. Role Description The GTM role at Meridian is a full-time, on-site position based in New York, NY, focused on developing and executing go-to-market strategies. Day-to-day responsibilities include identifying target customer segments, refining value propositions, and collaborating with product and engineering teams to align offerings with market needs. The role involves managing sales pipelines, conducting customer discovery calls, and building relationships with key stakeholders to drive adoption and revenue. The GTM professional will create and iterate on messaging, sales collateral, and enablement materials, while analyzing performance data to optimize campaigns and outreach efforts. This position requires close coordination with leadership to prioritize opportunities, report on progress, and help shape Meridian’s presence in emerging AI markets. Qualifications • Proven experience in go-to-market strategy, product positioning, and market segmentation for B2B technology or AI-driven products., • Background in sales, business development, or customer-facing roles, with the ability to manage pipelines and convert leads into long-term customers., • Strong analytical and research skills, including the ability to gather market insights, interpret data, and translate findings into actionable GTM plans., • Excellent communication, presentation, and storytelling capabilities to craft clear, compelling messaging and collateral for diverse audiences., • Comfort working cross-functionally with product, engineering, and marketing teams, and contributing to fast-moving startup environments., • Demonstrated ability to work on-site in New York, NY, with a high level of ownership, adaptability, and collaborative mindset., • Experience in AI, data products, or selling into traditional or underdigitized industries is a plus., • Bachelor’s degree in Business, Marketing, Economics, or a related field, or equivalent practical experience.

Required Knowledge Areas, Skills, Abilities and other Qualifications: • Knowledge with Microsoft development technologies, including C#, .NET Framework, .NET Core/.NET, ASP.NET MVC, ASP.NET Core, and Web API, • Proficiency in both front-end and back-end technologies, including HTML, CSS, JavaScript, TypeScript and at least one server-side programming language., • Strong knowledge of front-end frameworks (e.g., React, Angular,) and back-end frameworks., • Experience with databases (SQL) and knowledge of database design, queries, and performance optimization., • Strong knowledge of Python scripting and automation., • Experience with Azure DevOps, Git, GitHub, and CI/CD pipeline implementation., • Knowledge of security principles, including authentication, authorization, encryption, OAuth, OpenID Connect, and Microsoft Entra ID (Azure AD)., • Experience with process analysis, business process management, and workflow design., • Strong written and oral communication skills., • Highly organized with an obsessive eye towards planning and details., • Excellent follow up skills., • Demonstrates initiative and can self-manage domain specific work., • Strong project/process management skills and committed to continuously improve quality and effectiveness of own work., • Able to navigate across cross-functional teams to successfully accomplish role expectations., • Experience in healthcare is preferred. Purpose of Position: Under direction, with broad latitude for the exercise of independent judgment and ingenuity serves as expert consultant and advisor on complex data processing problems; participates broadly in the design of computer based information systems under development or to be developed with particular emphasis on the feasibility of major projects, benefits to be derived from systems’ implementation, costs of development and operation, and with attention to the orderly development of particular systems, interfacing with other systems to accomplish an effective degree of integration. In the area of Computer Operations provides the technical support and operations management of the NYC Health + Hospitals MIS Computer Center over a 24 hour/7 day operation week. In the Network Services area participates in the planning and implementation of Network Services with an emphasis on remote site preparation and participates in the operation of the Network Control Center helping to resolve complex network and telecommunications problems. Essential Duties and Responsibilities: Application Programming and Systems Engineering Disciplines 1. Recommends alternative approaches for users concerning aspects of data processing system design and selection of systems for computerization and processing of management information data, statistics, reports, etc., 2. Develops design for feasibility studies and participates in analyses of project requests from user departments within NYC Health + Hospitals., 3. Recommends programs, practices, and standards to facilitate uniform application of electronic data methods and their correlation with other units and regulatory jurisdictions., 4. Maintains a high-level of technical competence with particular regard to latest E.D.P. technology, methodology and applications of computer and related devices in the field of health care and management information systems., 5. Performs in-depth investigation and analysis to identify and resolve processing problems associated with the systems, programs, and machine utilization., 6. Selects computer, communications and peripheral equipment to meet the specifications of Department’s projected requirements and workloads based upon considerations of cost, performance specifications, demonstrations of performance, vendor support, ease of operation, maintenance and other technical factors. Network Services 1. Plans and assists in the coordination of network equipment at remote user sites., 2. Supervises the assignment of network technicians in support of problem resolutions and remote site installation., 3. Recommends standards and procedures for the uniform application of data communications methods and interfaces., 4. Interfaces with communications carrier (NY Telephone, AT&T, Northern Telecom, Telecom Plus ROLM, etc.) to coordinate service and problem resolution issues. Computer Operations 1. Manages operation of all computers and peripheral devices in the Computer Center., 2. Ensures that specific job operating instructions are understood and followed and that all operational directives, guidelines and procedures are adhered to by Computer Operations staff for the purpose of establishing and maintaining a stable processing environment., 3. Manages vendor field service engineer support to ensure maintenance and repair work is performed as required and in a timely manner., 4. Provides operations support to systems engineering in the maintenance of all operating systems software and in the diagnosis of hardware problems and to Network Services in the maintenance of online communications capability., 5. Responsible for training, development, motivation, performance evaluation, and motivation, performance evaluation and discipline of all assigned Operations staff., 6. Maintains and ensures satisfactory operating environment of Computer Center. Minimum Qualifications: 1. A Baccalaureate Degree from an accredited college or university with a major in Computer Science, Systems Engineering, applied Mathematics, Business Administration, Economics/Statistics, Telecommunications, Data Communications, or a related field of study; and, 2. Five (5) years of progressive, responsible experience in the field of data processing, computer systems and applications. Operations Specialty requires supervisory experience (5 years). Network Services requires a telecommunications background and experience. 1. Broad knowledge and expertise in the characteristics of computers, peripheral devices, communications systems and hardware capabilities, programming languages, E.D.P. applications, systems analysis methodology, data management and retrieval techniques; or, 2. A satisfactory equivalent combination of training, education and experience.

Economics Adjunct Faculty (Online/Remote) in the United States.The North Carolina Central University School of Business is AACSB-accredited and offers high-quality undergraduate and graduate business education programs through teaching and applied research focused on transforming our diverse learner

Key Requirements: • Epic Cogito Revenue Cycle Certificate Required, • Epic Clinical Certificate preferred, • Experience with creating new dashboard/Slicerdicer model/filters, • Proficient in one other coding language such as Python, • Experience with Python, Git, ADO, Microsoft Fabric, Tableau & Power BI, • Experience with Snowflake or other Data Warehouse concepts and reporting, • Experience with Clarity database and an understanding how Epic's production data (Chronicles) is extracted, transformed, and loaded (ETL) into the Clarity tables, • Experience with Agile/Scrum methodologies and project management, • In-depth knowledge of the Caboodle data warehouse (a Dimensional Data Warehouse - EDW). This includes understanding its star-schema (fact and dimension tables) and how data flows from Clarity into Caboodle., • Excellent Problem Solving and Decision Making, • Progressive thinking, • Familiar with Snowflake or other Data Warehouse concepts and reporting, • Effective communication skills Purpose of Position: Under direction, with broad latitude for the exercise of independent judgment and ingenuity serves as expert consultant and advisor on complex data processing problems; participates broadly in the design of computer based information systems under development or to be developed with particular emphasis on the feasibility of major projects, benefits to be derived from systems’ implementation, costs of development and operation, and with attention to the orderly development of particular systems, interfacing with other systems to accomplish an effective degree of integration. In the area of Computer Operations provides the technical support and operations management of the NYC Health + Hospitals MIS Computer Center over a 24 hour/7 day operation week. In the Network Services area participates in the planning and implementation of Network Services with an emphasis on remote site preparation and participates in the operation of the Network Control Center helping to resolve complex network and telecommunications problems. Essential Duties and Responsibilities: Application Programming and Systems Engineering Disciplines 1. Recommends alternative approaches for users concerning aspects of data processing system design and selection of systems for computerization and processing of management information data, statistics, reports, etc., 2. Develops design for feasibility studies and participates in analyses of project requests from user departments within NYC Health + Hospitals., 3. Recommends programs, practices, and standards to facilitate uniform application of electronic data methods and their correlation with other units and regulatory jurisdictions., 4. Maintains a high-level of technical competence with particular regard to latest E.D.P. technology, methodology and applications of computer and related devices in the field of health care and management information systems., 5. Performs in-depth investigation and analysis to identify and resolve processing problems associated with the systems, programs, and machine utilization., 6. Selects computer, communications and peripheral equipment to meet the specifications of Department’s projected requirements and workloads based upon considerations of cost, performance specifications, demonstrations of performance, vendor support, ease of operation, maintenance and other technical factors. Network Services 1. Plans and assists in the coordination of network equipment at remote user sites., 2. Supervises the assignment of network technicians in support of problem resolutions and remote site installation., 3. Recommends standards and procedures for the uniform application of data communications methods and interfaces., 4. Interfaces with communications carrier (NY Telephone, AT&T, Northern Telecom, Telecom Plus ROLM, etc.) to coordinate service and problem resolution issues. Minimum Qualifications: 1. A Baccalaureate Degree from an accredited college or university with a major in Computer Science, Systems Engineering, applied Mathematics, Business Administration, Economics/Statistics, Telecommunications, Data Communications, or a related field of study; and, 2. Five (5) years of progressive, responsible experience in the field of data processing, computer systems and applications. Operations Specialty requires supervisory experience (5 years). Network Services requires a telecommunications background and experience. 1. Broad knowledge and expertise in the characteristics of computers, peripheral devices, communications systems and hardware capabilities, programming languages, E.D.P. applications, systems analysis methodology, data management and retrieval techniques; or, 2. A satisfactory equivalent combination of training, education and experience. Years of Experience: • 7+ years’ experience in data and analytics related work Educational Level: A Bachelors of Degree in Data Sciences, Computer Science, Mathematics, Engineering, Business Administration, or related disciplines

Job Description Digital Matter is a next-generation growth and transformation partner built for the realities of today’s market. We combine the pace and precision of a startup with the discipline and rigor of a global advisory firm. We help consumer brands manage media as a strategic asset class, with the same intentionality and governance applied to capital allocation. By connecting data, technology, and creative, we turn media investment into measurable enterprise value: accelerating growth, improving efficiency, and building durable capabilities. Over the past seven years, we’ve guided organizations through IPOs, digital turnarounds, and successful exits. Our point of view is simple: when media is managed as capital, it becomes a catalyst for transformation at scale. Job Description Digital Matter is seeking a Vice President of Integrated Biddable Media to lead the strategy, evolution, and delivery of our biddable capability across paid social, paid search, programmatic, retail media, and emerging auction-based channels. This is a senior leadership role for someone who can combine deep media expertise with enterprise-level judgment, commercial ownership, and a strong point of view on how data, technology, creativity, and measurement should work together. You will partner with senior client leaders and cross-functional teams to turn business priorities into integrated growth strategies. You will also build the operating systems, talent, standards, and partner ecosystem required to deliver high-quality work at speed and scale. What You’ll Do • Direct integrated biddable strategy across paid social, paid search, programmatic, retail media, and emerging channels, with clear roles for each channel in the customer journey., • Turn client business priorities into actionable audience, investment, creative, data, platform, and measurement decisions., • Serve as a trusted advisor to senior clients. Bring a point of view, show the evidence, name the tradeoffs, and recommend a path forward., • Guide planning, activation, optimization, and measurement through channel leaders and specialists, ensuring the work reflects the strategy and meets a consistent quality bar., • Use working knowledge of major platforms to challenge assumptions, assess platform and product choices, interpret performance, and direct optimization—without needing to be the day-to-day campaign operator., • Manage biddable investment as a connected portfolio, balancing near-term performance with brand, customer, and enterprise value., • Connect biddable teams to strategy, creative, commerce, CRM, analytics, and brand media so integration changes the work, not just the meeting cadence., • Shape testing and measurement agendas using incrementality, experimentation, attribution, modeling, platform signals, and informed judgment., • Advance practical uses of automation and AI that improve speed, quality, or insight, with clear human ownership and controls., • Manage relationships with platforms, technology providers, data partners, and service partners, holding them accountable for transparency, performance, and value., • Support the commercial health and growth of the capability, including scoping, staffing, pricing, margin awareness, retention, and new-business development., • Lead and develop managers and channel specialists, creating clarity, accountability, and stronger decision-making across the team., • Represent Digital Matter in senior client conversations, pitches, and industry discussions with a distinctive, evidence-based point of view. What You’ll Bring • Leadership experience in biddable or performance media, with accountability for complex client portfolios, teams, and business outcomes., • Deep expertise in paid social and strong working knowledge across paid search, programmatic, retail media, commerce, and emerging auction-based formats., • A track record of connecting specialist channel excellence to integrated communications, customer, and growth strategies., • Credibility with senior client executives and the ability to communicate complex technical, commercial, and measurement issues with clarity., • Strong commercial judgment, including experience with revenue, pricing, staffing, margin, partner economics, and scope management., • Practical fluency in experimentation, incrementality, attribution, modeling, first-party data, privacy-aware activation, and platform measurement., • Experience scaling operating models, automation, or AI-enabled workflows while maintaining human oversight, quality, and accountability., • Demonstrated success building leadership teams, developing talent, managing performance, and creating succession plans., • The ability to lead through ambiguity, make informed decisions without perfect information, and adjust quickly as evidence changes., • Preference and commitment to maintain a hybrid model in New York and client travel as business needs require, • A collaborative leadership style grounded in transparency, ownership, curiosity, and respect for functional expertise. Base Salary Range: $180,000-$260,000 The salary range posted is reflective of base salary, which will be determined based on skills, experience, and qualifications. You will also be eligible for equity and benefits and company incentives. What We Offer: • Competitive salary, • Full coverage health insurance including Medical, Dental, and Vision, • 401K with company contribution, • Generous vacation days in addition to company holidays, sick days, and summer Fridays, • Pre-taxed commuter benefits, • 16 weeks of paid parental leave, • And more... What We Value One Team. We’re all in. When we win, we win together. When we miss, we learn together. Collaboration isn’t optional; it’s how we operate. Everyone plays a part, everyone has a stake, and every result belongs to all of us. Maximum Transparency. We are transparent, both internally and externally. The value we deliver comes from leveraging those truths to drive actionable solutions that move the business forward. Ownership Culture. We believe in moving with purpose. We don’t wait for perfect conditions - we identify opportunities, make informed decisions, and execute with speed and accountability. Success is measured by what we accomplish, not just what we plan. Digital Matter is an Equal Opportunity Employer and is committed to fair and equitable hiring practices. All hiring decisions at Digital Matter are based on strategic business needs, job requirements, and individual qualifications. All candidates are considered without regard to race, color, religion, gender, sexuality, national origin, age, disability, genetics, or any other protected status Note to Recruiters and Placement Agencies: We do not accept unsolicited agency resumes. The salary range posted is reflective of base salary, which will be determined based on skills, experience, and qualifications. You will also be eligible for equity and benefits and company incentives. What We Value One Team. We’re all in. When we win, we win together. When we miss, we learn together. Collaboration isn’t optional; it’s how we operate. Everyone plays a part, everyone has a stake, and every result belongs to all of us. Maximum Transparency. We are transparent, both internally and externally. The value we deliver comes from leveraging those truths to drive actionable solutions that move the business forward. Ownership Culture. We believe in moving with purpose. We don’t wait for perfect conditions - we identify opportunities, make informed decisions, and execute with speed and accountability. Success is measured by what we accomplish, not just what we plan. Digital Matter is an Equal Opportunity Employer and is committed to fair and equitable hiring practices. All hiring decisions at Digital Matter are based on strategic business needs, job requirements, and individual qualifications. All candidates are considered without regard to race, color, religion, gender, sexuality, national origin, age, disability, genetics, or any other protected status. If you would like to request an interview accommodation, please reach out to HR at Jana.Greenberg@dgtlmttr.com Note to Recruiters and Placement Agencies: We do not accept unsolicited agency resumes.

Job DescriptionAbout Baba Baba is an applied AI lab modernizing risk and care delivery for people with Medicare. We've become the fastest growing digital health system matching people with Medicare and their family caregivers with expert advocates, physicians, medications, lab testing, and AI agents to deliver insurance-covered care across all 50 states. In the last 8 months, we've completed tens of thousands of appointments and partnered with health plans covering more than 4 million Medicare beneficiaries. On any given day, our team's work spans population health research, applied AI research, clinical care delivery, and fintech infrastructure. We're a Series A company with $47M+ in funding. Our team is half engineers, a third former founders, and comes from places like Ramp, Stripe, Liquid AI, Palantir, MIT, and CMU. Our clinical operations are led by the former Executive Director of Care Transitions from the Mount Sinai Health System. We believe that talent density is our greatest competitive advantage. Interested candidates should email connor@callbaba.com with a short summary of the most challenging problem they've worked on and a link to their LinkedIn. About the Role Health plans are the most important commercial relationships Baba will build. As Head of Payer Partnerships, you will own them: the strategy, the pipeline, the deals, and the executive relationships with the country's top national and regional plans, with a focus on Medicare Advantage and dual-eligible populations. You'll design and close value-based and other risk-aligned agreements, take pilots to scaled contracts, and be the face of Baba to plan leadership. This is a closing role with strategic ownership, not a strategy role with occasional selling. The right person has done this before at a digital health or tech-enabled services company, where they built a payer book from early pilots into scaled contracts. You'll report to the CEO and work closely with Clinical Operations, Finance, Legal, Product, and Growth. You'll build a partnerships team as the company scales. This role is full-time and based in our Soho office in NYC. Expect travel for in-person business development meetings and industry conferences. What You'll Own Payer strategy and pipeline. Define which plans, which populations, and which structures we pursue, in what order, and own the pipeline end to end from first meeting through signed contract and expansion. Deals. Structure and negotiate agreements with plans, including value-based, risk-aligned models, and novel payment pilots. Executive relationships. Build durable, trusted relationships with plan leaders across the functions that matter for a deal, and create internal champions who carry Baba through complex organizations. Pilot to scale. Take pilots from design through launch, measurement, and expansion. Own the plan-facing narrative on results, and work with Clinical Ops and Finance to make sure we deliver and prove ROI. Voice of the payer. Bring real-time commercial insight back to Product, Clinical, and Growth, and turn what plans need into product + service offerings. Team. Hire and lead partnerships and account management talent as the company scales. We'd Love to Hear From You If You have 5+ years of commercial experience, including several years leading payer sales or partnerships at a digital health or tech-enabled care company, and you've personally closed and expanded health plan contracts, ideally in Medicare Advantage or with dual-eligible populations. You understand how plans buy from a startup: the stakeholders, budgets, calendars, and approval paths, what a plan's medical cost, quality, and network teams each need to see, and how to get a young company through security, legal, and clinical review without losing a year. You've structured value-based or risk-aligned agreements and can speak fluently to the economics on both sides of the table. You have real executive presence and can hold a room of plan leadership, adapt the story to each plan's priorities, and negotiate without losing the relationship. You've taken a pilot to a scaled contract and know what that takes operationally, not just commercially. You're energized by 0→1 work and ambiguity, and you build structure and momentum where none exists. You're operationally excellent: you run a pipeline, a forecast, and a dozen live conversations with precision. You can cross-functionally collaborate with Clinical, Finance, Legal, Product, and Growth. Previous stints inside healthplans, consulting, or strategy roles but not a substitute for experience with successful healthcare plan partnerships.

Job Description About Us Greenbrook Medical is building the new standard in primary care. We deliver high-touch, relationship-based care through neighborhood clinics, grounded in a simple belief: every senior deserves the kind of care we would want for our own families. Our model prioritizes time with patients, strong care coordination, and a personalized approach that improves outcomes while lowering total cost of care. We take full accountability for patient outcomes and overall cost of care, aligning clinical excellence with disciplined execution. That commitment shows up in our results, including a patient Net Promoter Score of 91, compared to 32 for typical healthcare organizations. Rooted in Tampa Bay and partnered with Tampa General Hospital, we are entering an exciting phase of growth. Backed by strong unit economics, experienced operators, and a proven playbook, we are looking for builders and operators who want to help scale a healthcare platform designed to deliver better care, better coordination, and better outcomes for seniors. About the Role As our Director, People Strategy, you will own the analytical and infrastructure backbone of the People function: compensation, headcount planning, people analytics, and knowledge management. You will report to the Chief People Officer and operate as their right hand on the work that requires rigor and follow-through. When a question comes up about what a role should pay, whether our staffing plan still holds as panels grow, or what our data actually says about retention, you own the answer. This is a builder role with one direct report. You will do the analytical work yourself rather than direct a team that does it, and you will manage our People Operations & Credentialing Manager, who runs onboarding and offboarding logistics, technology provisioning, and physician credentialing. You will be effective here if you are comfortable with ambiguity, move fluidly across unrelated problems in the same week, and consistently identify where you can add the most value rather than waiting to be assigned it. Location: New York City area preferred. We are open to remote for the right person, with regular travel to New York and to our Tampa Bay clinics. What You'll Do Compensation Strategy & Execution • Own our compensation philosophy, structure, and bands end to end, including refreshing bands at least annually as the market and our roles change, • Act as the steward of that philosophy across the organization. You are the person who makes sure it is actually applied consistently, in every offer, promotion, adjustment, and new role, rather than living in a document nobody opens, • Run the market research behind every banding decision, working across our benchmarking sources for corporate and clinical roles, • Hold our commitment that total compensation for clinical roles sits above market. This means benchmarking base and total cash separately, then designing the bonus structures that close the gap deliberately rather than by accident, • Design, implement, and oversee our metrics bonus programs, including which metrics we pay on, how payouts are calculated and timed, and how performance against them is tracked and communicated, • Build and maintain the compensation models: cost of proposed changes, merit and adjustment cycles, offer scenarios, and total compensation views, • Bring us new compensation strategies that drive business results, not just market parity. An open question we want your point of view on: how do we make clinical roles progressively more attractive with tenure, so that our best clinicians have a reason to stay past year three?, • Serve as the review point on offers and internal adjustments, making sure decisions are defensible, internally equitable, and within band, • Run the annual compensation cycle end to end, working directly with the CPO on design and decisions, partnering with Finance on budget, and supporting managers through delivery, • Own our compensation documentation, including team and role-specific compensation design, role-level one-pagers, and leveling guidance, so managers can have clear conversations without needing to guess Headcount Planning & Workforce Modeling • Own the headcount planning process end to end, from annual plan through monthly maintenance and reforecasting, • Maintain the headcount model as the single source of truth for approved, open, and forecasted roles, reconciled against Finance and our ATS, • Automate the ratio-based logic in the plan so that staffing triggers fire on their own. We know what it takes to staff a clinic. The unsolved problem is building a model where roles are generated automatically as panel size, visit volume, and site count cross defined thresholds, instead of being added by hand every cycle, • Run the intake and approval process for new and backfill role requests, holding the turnaround standards we have committed to, • Build the scenario capability that lets leadership ask what a change in growth pace means for hiring and cost, and get an answer the same day People Analytics & Reporting • Own people analytics and reporting for the company, including the metrics we report to the Leadership Team and Board, • Own our dashboard suite across headcount and growth, hiring funnel and time to fill, turnover and retention, engagement, compensation distribution, and manager effectiveness, drawing on Lattice, Greenhouse, and our HRIS, • Take ownership of the recruiting dashboards currently in build and drive their ongoing evolution, optimization, and maintenance, partnering with our Director of Talent, who owns pipeline execution, • Turn analysis into recommendations. The bar is not a clean chart, it is a clear point of view on what we should do differently, • Establish the definitions, data hygiene standards, and reporting cadence that make our numbers trustworthy and consistent across sources Knowledge Management • Own knowledge management for the company, including how we structure and govern Notion, • Set clear standards for how documentation is created, organized, named, and maintained, then drive adoption of those standards across teams, • Make sure people can find what they need without asking a person, and that what they find is current, • Partner with L&D on the intersection of documentation and training Strategic Projects • Take ownership of high-value People projects that need a senior operator, including work that would otherwise sit with the CPO, • Scope, plan, and drive these projects to completion with minimal direction, bringing back a recommendation rather than a set of options with no view, • Evaluate, select, and implement People technology as our needs outgrow current tools, • Manage the People Operations & Credentialing Manager, setting the standards for onboarding logistics, provisioning, and credentialing, and holding the outcomes What Success Looks Like • Compensation bands are current, externally benchmarked, and internally equitable, with a documented refresh cadence and no offers made outside of band without explicit exception, • Clinical total compensation is verifiably competitive, with a documented calculation to boot, • Metrics bonus programs run on a predictable cycle, with payouts calculated correctly and on time, and participants who understand what they are being paid for, • The headcount model is trusted as the single source of truth by the Leadership Team and reconciles to Finance every month, • Ratio-based staffing triggers run automatically off volume and site assumptions, with no manual role-by-role maintenance, and a new growth scenario can be produced in hours rather than days, • A standing set of People dashboards is live, accurate, and reviewed on a monthly cadence, with the Leadership Team pulling from them directly, • Notion standards are documented, adopted, and maintained, measured by findability and currency of core content, • The CPO's time is measurably redirected toward the highest-value work because this role owns what it should own Note: Metrics will evolve with the business needs, these are where we are focused right now About You You bring: • 10+ years of experience across compensation, people analytics, HR strategy, or people operations, including time in a senior role on a high-performing, mature People team, • Experience at a company that had already built strong People fundamentals, ideally Series C or later, and the ability to bring those best practices with you rather than invent them from scratch, • Deep compensation expertise, including building and refreshing bands, running market benchmarking, leveling roles, and modeling the cost of compensation decisions, • Strong quantitative and analytical skills. You are genuinely advanced in spreadsheets, comfortable building models others rely on, and able to work with messy data without losing the thread, • Excellent project management skills. You can hold multiple workstreams at once, sequence them sensibly, and land them on the dates you committed to, • Fluency with People technology, including HRIS, ATS, and performance platforms, and a track record of implementing or meaningfully improving at least one of them. We run on Lattice, Greenhouse, and Notion, • Comfort in ambiguity. You move across unrelated problems, define the work yourself, and proactively identify where you can add the most value instead of asking for direction alone, • Clear, direct communication. You can write a recommendation a CEO will read in two minutes and act on, • Based in the New York City area, or willing to travel regularly to both New York and Tampa Bay, • Bachelor's degree required You'll stand out if you: • Have compensation experience spanning both corporate and clinical or licensed roles, including familiarity with clinical benchmarking sources, • Have built workforce planning models driven by operational ratios rather than static headcount lists, • Have automated meaningful parts of a manual process, whether through scripting, BI tooling, or systems integration, • Bring a blend of management consulting and in-house experience. The consulting background gives you the structuring and problem-solving toolkit; the in-house years mean you know how to land a recommendation inside a real organization rather than hand it off, • Have worked in healthcare, multi-site, or another distributed frontline workforce environment, • Have administered Lattice, including compensation, performance, and engagement modules, and are comfortable being our internal expert on it, • Have been the person a People leader trusted with the projects that could not slip Why You'll Love Working Here Make An Impact Every Day Be part of a mission-driven team transforming primary care for seniors. Your work directly supports better outcomes, better coordination, and better experiences for some of the most vulnerable patients in healthcare. Work That Actually Matters We're not a volume-driven system, we're accountable for outcomes. That means your work directly contributes to quality care, patient satisfaction, and meaningful improvements in how healthcare is delivered. Build And Grow With Us We're building more than a company, we're building careers. As we expand, you'll have opportunities to grow your skills and take on new challenges. Strong, Transparent Compensation & Benefits • $170,000 - $180,000 base salary + generous performance bonus, • Health, dental, and vision insurance, • Paid time off, • 401(k) with company match We believe in fair, equitable pay that reflects your experience and impact. Our Selection Process Application → Initial interview → Skills/experience interview → Peer interviews → Values interview → Case study interview → References Equal Employment Opportunity and Commitment to Diversity At Greenbrook Medical, we believe the only way we accomplish our mission is by building the best team in healthcare. We do this through a culture of respect and belonging, ensuring our teammates feel cared for first and foremost. We will extend equal employment opportunity to all applicants without regard to age, race, ethnicity, sex, religion, sexual orientation, gender identity, socioeconomic background, disability status, military affiliation, pregnancy or any other status protected under federal, state and local laws. We encourage all who share our mission to apply. Greenbrook Medical will provide reasonable accommodations during the recruitment process. If you need additional accommodations or assistance, do not hesitate to contact our People team at recruiting@greenbrookmedical.com.

KalshiKalshi has defined a new category: prediction markets. Kalshi allows people to trade on the outcome of any events and turn any question about the future into a financial asset. Kalshi fought for years and legalized prediction markets in the US for the first time in history, is currently the fastest growing financial market in America, and has thousands of markets across politics, economics, financials, weather, tech, AI, culture and more.We believe prediction markets have the potential to be the largest financial market because they turn anything into a financial position.Our vision: well… build the largest financial market on the planet.Our mission: bring more truth to the world through the power of markets.Our culture is simple: we hire really talented people, work really hard, and enjoy the climb. We are looking for ambitious and exceptional people to join our (relatively small) team to help us build the next generation of financial markets.Role RoadmapWe're expanding our Support Operations function to deliver exceptional user experiences as Kalshi's user base grows. As a frontline representative of the company, you'll help users navigate prediction markets, resolve issues, and get the most out of our platform. You'll combine strong communication skills, operational rigor, and market knowledge to support users with speed, clarity, and empathy.You'll work across Support, Operations, Product, and Engineering to improve processes, identify patterns in user behavior, and elevate the quality and reliability of our support ecosystem. This is a high-impact role based in our NYC office.What You'll DoUser SupportRespond to user inquiries across email, social channels, and other support touchpoints with speed and accuracyGuide users through account setup, trading mechanics, verification, and platform featuresTroubleshoot issues, diagnose root causes, and escalate complex technical problems when neededManage sensitive user situations with professionalism, clarity, and empathyOperations & Process ImprovementMaintain and optimize support workflows, documentation, and knowledge base contentIdentify patterns in user issues and collaborate with Product and Operations to address root causesTrack and analyze key support metrics (response time, resolution rate, CSAT, issue type frequency)Contribute to internal support playbooks, standard operating procedures, and tooling improvementsMarket & Product ExpertiseDevelop a deep understanding of prediction markets, event contracts, and trading mechanicsStay up to date on Kalshi's market offerings, platform updates, and new featuresEducate users on prediction markets and how they can be applied in real-world contextsProvide insights to Product, Engineering, and Operations teams based on recurring user feedbackWhat You BringRequired:2+ years of experience in customer support, operations, customer success, or a related roleExceptional written and verbal communication skills, with the ability to explain complex concepts clearlyStrong problem-solving and critical thinking abilitiesComfort with technology and learning new tools quicklyHigh attention to detail and strong organizational skillsAbility to work independently and manage multiple priorities in a fast-paced environmentBonus Points:Experience in fintech, trading platforms, marketplaces, or other regulated environmentsFamiliarity with prediction markets, event contracts, or financial productsExperience building or improving support processes, tools, or workflowsNYC Pay Transparency DisclosureSalary Range: $90,000–$105,000 annually, plus equity and benefits. This range reflects current market data for this role. Kalshi has minimal hierarchy and broad variance in experience levels within each title; if your compensation expectations exceed this range, we encourage you to reach out — we're always happy to discuss.Our CultureMeritocracy is at our core, and we value people who take ownership and figure (usually hard) things out. We dream big. We love our craft deeply and are proud of what we put out in the world. We are committed to our vision of building something big… but also useful: a product that brings more truth through the power of markets.Kalshians are Kalshi's most important asset: we pick Kalshians carefully, so we trust them fully on day 1.Commitment to Equal OpportunityKalshi is committed to creating a culture of inclusion and belonging, and we are proud to be an equal opportunity employer. We believe it is our collective responsibility to uphold these values and encourage candidates from all backgrounds to join us in our mission. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, veteran status, age, or any other protected characteristic per federal, state, or local law.

The Product & Tech Analytics team is seeking a Sr. Data Analyst who will be a key player in driving personalization strategy on Disney+ and Hulu. We partner across the business to turn raw data into meaningful insights, and then turn those insights into strategic recommendations that steer key decisions in the product. Our ideal candidate is an excellent coder and communicator who crafts high-impact, data-informed stories to decode challenging and unstructured problems, and can responsibly manage complex projects that cross several silos. If you go beyond gathering data and you consistently transform it into knowledge and meaningful business action, this is a great role for you.You’ll work with personalization product teams, business leadership, and industry-leading machine learning experts to understand recommendation system performance and identify areas for strategic investment. Through this collaboration, you’ll design innovative approaches to measure success, test hypotheses, extract actionable insights, and develop recommendations that drive key decisions behind our algorithms. You’ll be a critical voice informing and shaping the future of personalization for Disney Streaming.Core ResponsibilitiesA/B Testing & Experimentation: Lead the design, analysis, and interpretation of experiments across personalization. Partner with stakeholders to ensure experiments are designed and interpreted correctly. Conduct power analysis, contribute strong code to our advanced experimentation libraries, perform post-analysis on complex questions in SQL and Python, and provide expert clarity on results.Analytics Engineering & Reporting Foundations: Collaborate closely with data engineers and product management to tackle data consistency challenges, ensure the accuracy and quality of data required for analysis, and improve foundational datasets. Instrument new product features from the ground up - managing the project end-to-end - and ensure we have the right data built the right way, leading a group of partners from data product and data engineering.Deep-Dive Analysis: Help cross-functional stakeholders understand platform performance. Dig into metrics that are ahead or behind expectations, surface actionable insights, and present them effectively through data visualization tools and live presentations. Apply advanced techniques (statistical modeling, experimentation, causal inference) to user behavioral data to identify patterns and uncover opportunities. Don’t just describe what happened with data - help people see what it means and what they can do about it. Become a key voice for setting our strategy.AI Enablement: This is an AI-first analytics team that has a robust assortment of tools (Claude, Cursor, Snowflake Cortex, Gemini, and more) available to accelerate analytics engineering and answer stakeholder questions. We are constantly sandboxing and inventing, so we’re looking for somebody excited and curious to take advantage of our tools and be a cutting-edge innovator in AI for analytics.Qualifications:Bachelor’s degree in Statistics, Economics, Mathematics, Computer Science, Data Analytics, or a related field5+ years of experience in data analytics, including 2+ years at a senior levelProficiency and 3+ years of applied experience creating complex queries and analysis on very large datasets in SQL and Python, leveraging Snowflake, Databricks, or a similar data warehouse3+ years of applied experience with data exploration, visualization, and instrumentation in Looker (or an equivalent tool like Tableau)3+ years experience with A/B testing - including power analysis, use of experimentation code libraries, metric selection, test design, and interpreting complex resultsFamiliarity with notebooking and scheduled job instrumentation in PythonStrong understanding of statistics concepts (e.g. hypothesis testing, statistical power, confidence intervals, regression analysis, Type I/II error, etc.)Ability to think strategically and interpret market and consumer information contextuallyStrong communication and interpersonal skills, including written and verbal presentation skills, with experience presenting to diverse audiences and managing strong personalitiesExperience managing end-to-end analytical projects, including documenting requirements up front, setting deadlines, and delivering strategic meaningful impactPreferred Qualifications:Master’s degree in Statistics, Economics, Mathematics, Computer Science, Data Analytics, or a related fieldExperience with product analytics, especially user funnels and user behaviorsHands-on experience with advanced statistical methods such as causal inferenceBackground in streaming media or subscription-based productsExperience building agentic analytics toolsAdvanced knowledge of LookerProven ability to manage projects that require new datasets, collaborating with data engineering teams to improve data quality and build foundational datasets for scalable analysisThe hiring range for this position in New York City, NY is $123,000 - $165,000 per year, in Santa Monica, CA is $117,500 - $157,500 per year and in San Francisco, CA is $128,700 - $172,500 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.Reference: 10157869

AB's systematic merger arbitrage strategy sits within Multi-Asset & Hedge Fund Solutions, a team known for combining quantitative rigor with deep market expertise. You will report directly to the Head Portfolio Manager, a 30-year veteran of discretionary event-driven investing and serve as his primary research counterpart and deputy on the portfolio. You will collaborate closely with AB's technology and data engineering teams, who provide infrastructure support, freeing you to focus on research, signal development, and investment decision-making. You will also engage directly with AB's institutional clients and prospects, representing the strategy in meetings and contributing to business development alongside the Head PM and the broader client group. What You'll Do: Systematic Research & Signal Development • Identifying patterns in active and completed deals that can be systematically tested against historical data., • Design and maintain quantitative models and systematic signals to assess spread dynamics, deal break probability, and portfolio-level risk and return behavior., • Develop, backtest, and evaluate new investment ideas using the team's backtesting engine; own the integrity of input data and the deal database that underpins this process, ensuring completeness, accuracy, and consistency of historical and live deal records., • Identify and apply machine learning and statistical techniques to extract signals from deal, market, and alternative data., • Proactively identify opportunities to leverage AI tools across the strategy including data acquisition, deal monitoring, and research workflows and help embed those capabilities into the team's day-to-day investment process. Portfolio Management Support • Monitor and assess active deals across the M&A universe tracking deal timelines, deal structure, regulatory and antitrust developments, and deal outcomes., • Periodically engage with company management teams and deal advisors as needed to clarify deal timelines, assess regulatory risk from the issuer's perspective, and confirm deal economics where contractual terms require interpretation for modelling purposes., • Track regulatory filings (HSR, SEC), antitrust proceedings, shareholder vote schedules, and deal timetables for all active positions., • Support the Head PM in position sizing, portfolio construction, and risk management decisions., • Assist with trade building and portfolio monitoring., • Contribute to regular strategy performance reviews, providing attribution analysis and research-driven commentary on historical results. Technology & Data • Partner with AB's technology team to enhance research workflows, data pipelines, signal construction, and analytics., • Manage deal and market data across relational databases; maintain data quality standards across all research inputs., • Identify opportunities to expand the team's data capabilities through alternative or third-party data sources. Client & Business Development • Attend meetings with institutional clients and prospects to present the strategy, discuss current positioning, and present research findings including deal-level analysis and systematic insights from the team's backtesting work., • Contribute to the preparation of investor materials, performance commentary, research publications and the strategy's quarterly investment letter., • Serve as a credible and articulate spokesperson for the strategy in client interactions and external forums. What We're Looking For: Required • 5+ years of investment management or quantitative research experience in equities. Experience with merger arbitrage or event-driven strategies a plus., • Experience with quantitative research methods, including backtesting systematic strategies and evaluating signal performance, • Working proficiency in Python for research and data analysis purposes; comfort writing and maintaining production-quality scripts in an investment context., • Working proficiency in SQL for querying and managing structured datasets., • Excellent attention to detail and a strong commitment to data quality., • Strong communication skills; able to present investment views clearly and credibly to sophisticated institutional audiences., • Bachelor's degree in a quantitative or finance-related discipline (Finance, Economics, Mathematics, Computer Science, Statistics, or similar)., • Willingness to embrace and use AI to help with all facets of the job Preferred • Familiarity with Merger Arbitrage. Ability to analyze M&A transactions from announcement through close, including an understanding of typical deal timelines, deal structures, regulatory review processes, and break risk, • Experience with quantitative modeling and ML methods applied to event-driven or arbitrage investing (e.g., classification models, supervised learning for deal outcome prediction)., • Exposure to systematic strategy development: factor construction, signal combination, and portfolio optimization., • Experience using AI tools to augment investment or research workflows; able to articulate clearly how AI has enhanced their work and to identify practical applications within a systematic strategy context. About AB We are a leading global investment management firm offering high-quality research and diversified investment services to institutional clients, retail investors, and private-wealth clients in major markets around the globe. With over 4,000 employees across 57 locations operating in 26 countries and jurisdictions, our ambition is simple: to be the most trusted investment firm in the world. We realize that it's our people who give us a competitive advantage and drive success in the market, and our goal is to create an inclusive culture that rewards hard work. Our culture of intellectual curiosity and collaboration creates an environment where you can thrive and do your best work. Whether you're producing thought-provoking research, identifying compelling investment opportunities, infusing new technologies into our business or providing thoughtful advice to our clients, we are fully invested in you. If you're ready to challenge your limits and empower your career, join us! All are encouraged to apply. AB does not discriminate against any employee or applicant for employment on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability, marital status, citizenship status, sexual orientation, gender identity, military or veteran status or any other basis that is prohibited by applicable law. AB's policies and practices seek to ensure that employment opportunities are available to all employees and applicants based solely on job-related criteria. In accordance with applicable law, the minimum and maximum base annual salary for this role is as follows: Base Salary Range: $200,000.00 to $250,000.00 Actual base salaries may vary based on factors including but not limited to education, training, experience, past performance, and other job-related factors. Base salary is just one component of total compensation at AB, which may include, depending on eligibility, commissions, year-end incentive compensation, short- and long-term incentives and Department-specific awards. In addition, AB provides a variety of benefits to eligible employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays, sick and vacation time off New York, New York

The AI & Digital Innovation team in RBC Capital Markets is seeking an AI Product Manager with expertise in product management for AI and data products, applied AI, Generative AI, and quantitative fluency for pricing and trading contexts to collaborate with Sales & Trading and develop desk-facing solutions. You will work across how sales understand clients, how sales and traders set a price, and how that price drives a sale, leading how these initiatives are framed, prioritized, built, and governed. What will you do? • Identify and prioritize desk-facing applied AI opportunities for Sales & Trading, with an emphasis on improving how sales understand clients, how sales and traders set a price, and how that price drives a sale., • Frame ambiguous commercial questions as scoped, testable product definitions, translating business needs and desk context into opportunities that can be evaluated, delivered, and adopted by real users., • Own the product roadmap and sequencing across initiatives, with an emphasis on explicit prioritization, documented trade-offs, and shared delivery expectations with business stakeholders and delivery partners., • Act as the bridge between the desk and engineering, data science, and quantitative partners, with an emphasis on agreed problem definitions, acceptance criteria, and evidence that a capability works for the users it is built for., • Drive adoption of delivered capabilities and learn from real user feedback after release, with an emphasis on observed needs, usability, reliability, and increasing practical value for Sales & Trading stakeholders., • Carry initiatives through risk, compliance, and AI governance, ensuring control, documentation, and human oversight expectations are understood early and met before a capability reaches users. What do you need to succeed? Must-have • 5+ years of experience delivering AI, analytics, or data products for professional users in a capital markets or similarly regulated setting., • A demonstrated record of converting unstructured stakeholder requests into scoped, testable problem definitions with clear success criteria, and taking them through to a defined, evaluated, and adopted capability, with initiative and end-to-end ownership., • Experience prioritizing competing requests from multiple business and technology stakeholders, and aligning them on scope, sequencing, and acceptance criteria., • Demonstrated experience applying product management practices such as discovery, roadmap ownership, acceptance criteria, and adoption measurement., • Applied AI and Generative AI fluency sufficient to earn the confidence of engineering and data science partners, including evaluation, reliability, and known limitations. Building models is not part of this role., • Quantitative comfort with pricing, trading, and risk concepts, and the ability to work credibly alongside quantitative stakeholders., • Strong written and verbal communication with senior stakeholders, including concise framing of options, trade-offs, and recommendations., • Understanding of Sales & Trading workflows within Capital Markets Nice-to-have • A post-secondary degree in a STEM discipline, Quantitative Finance, Economics or a related quantitative field, or equivalent hands-on technical experience., • Experience delivering AI or data products in a regulated or security-conscious environment, including exposure to model risk, compliance, or AI governance processes., • Exposure to electronic trading, automated pricing, or predictive analytics initiatives., • Risk concepts, market microstructure, and quantitative finance fluency for pricing, trading and risk-management contexts. What's in it for you? We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual. A comprehensive Total Rewards Program include competitive compensation and flexible benefits, such as 401(k) program with company-matching contributions, health, dental, vision, life, disability insurance, and paid-time off. Leaders who support your development through coaching and managing opportunities. Ability to make a difference and lasting impact. Work in a dynamic, collaborative, progressive, and high-performing team. Opportunities to do challenging work. Opportunities to build close relationships with clients. The expected salary range for this particular position is $120,000 to $225,000, depending on your experience, skills, and registration status, market conditions and business needs. You have the potential to earn more through RBC's discretionary variable compensation program which gives you an opportunity to increase your total compensation, provided the business meets its performance targets and you meet your individual goals. RBC's compensation philosophy and principles recognize the importance of a highly qualified global workforce and plays a critical role in attracting, engaging and retaining talent that: • Drives RBC's high-performance culture, • Enables collective achievement of our strategic goals, • Generates sustainable shareholder returns and above market shareholder value Job Skills: Business Analysis, Derivatives Pricing, Generative AI, Machine Learning (ML), Mathematical Finance, Predictive Analytics, Product Management, Product Roadmap Development, Quantitative Trading, Risk Management, Stakeholder Management

Spark Foundry was built during the most transformative time in the history of advertising and marketing. We deliver everything a traditional media agency has to offer and have grown into one of the world's most successful agencies by helping brands evolve their marketing by leveraging identity, commerce, artificial intelligence, and more to connect with people. Transformation is part of our DNA. Spark Foundry's start-up spirit delivers high-touch approaches and a never-ending desire to challenge the status quo. Combined with Publicis Media's powerhouse soul leveraging connected data assets, advanced AI applications, and investment clout, we "Bring HEAT to Brands." No other agency possesses the expertise that we do to address today's most pressing challenges to drive business transformation through media. The Associate Director, Media Analytics and Insights is responsible for the application of data-driven insights into Spark Foundry's planning, investment, and measurement processes. Additionally, the role requires the candidate to design and lead the implementation of modern measurement plans and longer terms roadmaps for the client. Working closely with internal cross-functional teams and Analytics leads are vital parts of the role, with accountability for the highest quality execution of a diverse array of client and project deliverables an imperative. The role functions as an expert technical point of escalation, an analytical problem solver, and a technical translator to internal account teams and clients. It also provides ongoing strategic account direction/vision for technology, process, and media reporting/insights. Responsibilities: • Build strong relationships with internal stakeholders, facilitating synergy between the planning and activation functions that manage day-to-day client business, • Build and develop relationships with client business directors and brand teams, ensuring that client and overall data proposition is relevant and aligns with strategy direction, • Identify organic growth opportunities and partner with Client and Analytics leadership to convert, • Drive a culture of 'always-on' data-driven decision making that will institutionalize the use of consumer-driven analytics in media/marketing investment planning and activation, • Scope and direct advanced analytics projects to ensure that the deliverables are designed to answer valuable client and media team questions, and that timelines and scope are adhered to, • Have experience and expertise in how to intersect consulting skills, data, advanced analytics, and marketing strategy to drive and improve clients' business results, • Consult with senior client marketing and business leaders to define and answer most important business questions, • Advise on how to best leverage media and marketing investments to drive business results, • Work collaboratively with the network to provide the client with thought leadership, and leverage it to create meaningful and measurable marketing experiences, • Underpin client marketing processes with 'big picture' measurement frameworks and KPIs that will be used to evaluate experiences and specific plans, campaigns, or investments across paid, owned, and earned media environments, • Keep abreast of evolving media landscape, including research and emerging trends to provide insight to both media teams and client (as required), • Guide and work closely with the planning teams and the client teams to deliver on 'data-driven' marketing investment decisions (how much, where, when, which channels, etc), • Create and manage deliverables against detailed project plans that align expectations with actionable outcomes, • Provide a high-value consultation layer on top of analytics deliverables, • Consult with client media teams to align on the strategy, implementation, and measurement plans for all key accounts, • Determine the best means of communicating analytical insights to clients that ensures understanding of results and application of the analyses is applied, • Build presentations providing clear analytics story why the work is important, the truths that the analytics reveal, and the actions that should follow the analysis, • Build the profile of Analytics within the agency by packaging and evangelizing best in class client work, • Lead the application of AI-enabled analytics solutions (e.g., predictive outputs, anomaly detection, automated insights) to enhance measurement, forecasting, and optimization, • Identify opportunities to integrate AI-driven tools and methodologies into analytics workflows to improve efficiency, scalability, and insight generation, • Partner with internal and external teams to evaluate and scale AI-powered measurement and data solutions across client engagements Qualifications: • Minimum 5 years of experience in performing analytics in marketing sciences capacity at a media agency, market research, or consulting company, or in-house at a brand., • Working knowledge of databases and SQL is preferred., • Knowledge of web measurement technologies: Ad serving platforms Website analytics software Data visualization skills desirable (e.g. Tableau, Datorama, PowerBI, etc.), • Quantitative education or experience preferred (Statistics, Social Sciences, Economics, Quantitative Marketing)., • Experience in a cross-functional team environment with agency experience a big plus, • Strong understanding of contemporary marketing analytics, advertising technology and research techniques, as well as an innovative vision on how the practice should evolve to keep pace with the ever-changing marketing environment, • Strong client management/consultative experience with both presenting and resolving issues, • Extensive experience leading and managing marketing technology projects from ideation through implementation, • Strong critical thinking and problem-solving skills a demonstrated ability to mine data for relevant and actionable insights, • Solid written and verbal communication skill with ability to communicate/translate complex concepts to non-technical audiences, • Strong understanding and experience with digital media buying, KPI development, and technology practices during campaign planning and execution, • Demonstrated experience with programmatic audience buying concepts and execution, • Powerful leadership qualities, as will be required to lead external and internal resources into new marketing effectiveness territories, • Strong attention to detail, and be able to quality-check their teams' work to ensure that data anomalies/mistakes are caught prior to delivery of the analysis to the client teams, • Strong management capabilities, both operationally (as well as strategically) to ensure that guidance is given to all teams on how to enhance the product as the account matures), • Outgoing and able to integrate with fast-paced planning and activation teams, • Able to cultivate excellent relationships with technology and research partners, • Ability to meet deadlines in a fast-paced environment, • Hands-on, problem solving abilities 'can do' approach (someone who is a thinker and a doer) Additional information: Our Publicis Groupe motto "Viva La Diffrence" means we're better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent. Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off. If you require accommodation or assistance with the application or onboarding process specifically, please contact USMTTACompliance@publicis.com. All your information will be kept confidential according to EEO guidelines. Compensation Range: USD $112,290.00 - USD $179,712.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 12/7/2026.

With a team of industry specialists and world-class experts in accounting, business intelligence, damages analysis, economics, finance, intellectual property, valuation, data analytics, statistics, and strategic analysis. BRG's Economics, Disputes & Investigations (EDI) practice is a leader in areas that can significantly impact business. We are dedicated to providing clear perspectives that help clients understand their current situation as well as the road ahead. Recognized by Forbes as one of America's Best Management Consulting Firms, we have ranked as a "Top Economics Consultancy" by Global Competition Review for the Eleventh Consecutive year. We have also been recognized among Consulting Magazine's "Best Firms to Work For" for the Fourth Consecutive Year. BRG's EDI practice is currently looking for an experienced consultant to lead project workstreams, provide strategic guidance, develop analytical frameworks, and most importantly mentor junior staff. The qualified person will have experience in addressing real-world applied economics questions, including in the areas of intellectual property, and financial analysis. This position requires a highly motivated problem solver with robust analytical ability, strong organizational skills, and a desire to work with leading experts in the field. The work will involve both execution and oversight of engagement work streams that may be either quantitative or qualitative in nature, with responsibilities to include design of economic, statistical, and financial analysis, modeling of financial data and markets, management of existing client relationships, development and presentation of client deliverables, management of junior staff, quality control, industry research, and expansion of business. This position offers advancement opportunities within a rapidly growing expert services and consulting firm. Qualifications: • Master's degree with an academic focus on quantitative research (Economics, Finance, Mathematics, Statistics, or another quantitative discipline). ABD or PhDs will be considered for our Economist track., • Minimum four (4+) years of experience in an advisory firm managing commercial disputes., • Minimum two (2+) years of experience antitrust & competition litigation matters., • Demonstrated understanding of, and ability to explain, economic, financial and/or accounting concepts, and quantitative and qualitative analysis methods., • Must have strong leadership capabilities, ability to communicate effectively with both junior and senior staff., • Experience working with large data sets in Excel and/or statistical analysis programs (e.g SAS, Stata, R, etc.), • Having demonstrated the ability to create strategic visions and to implement strategies with a proven track record., • Desire to work within a highly collaborative team environment., • Clear and demonstrated interest in consulting with the broader vision of generating business and becoming known in the marketplace as an Expert in your field. Salary Range: Senior Associate - $70,000 $135,000 per year. Consultant - $70,000 $150,000 per year About BRG BRG combines world-leading academic credentials with world-tested business expertise and purpose-built emerging technologies. Our culture centers on agility and connectivity which sets us apart and gets you ahead. At BRG, our professionals include specialist consultants, industry experts, renowned academics, and leading-edge data scientists. Together, they bring a diversity of real-world experience, data, and human and artificial intelligence, to economics, disputes, and investigations; corporate finance; and performance improvement services that address the most complex challenges facing organizations across the globe. Our unique structure nurtures the interdisciplinary relationships that give us the edge, laying the groundwork for more informed insights and more original, incisive thinking. When paired with our global reach and resources, our diverse perspectives and technical capabilities make us uniquely capable to address our clients' challenges. We get results because we know how to apply our thinking to your world. At BRG, we don't just show you what's possible. We're built to help you make it happen. BRG is proud to be an Equal Opportunity Employer. Our hiring practices provide equal opportunity for employment without regard to race, religion, color, sex, national origin, age, United States military veteran status, ancestry, sexual orientation, marital status, family structure, medical condition including genetic characteristics or information, veteran status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law.

Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intelligence (AI) systems? Want to help the largest global enterprises derive business value through the adoption and automation of Generative AI (GenAI)? Excited by using massive amounts of disparate data to develop AI/ML models? Eager to learn to apply AI/ML to a diverse array of enterprise use? Thrilled to be a key part of Amazon, who has been investing in Machine Learning for decades - pioneering and shaping the world's AI technology? The Amazon Web Services Professional Services (ProServe) team is seeking a skilled ML Engineer to join our team as a Delivery Consultant at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS AI/ML and GenAI solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the ML project lifecycle. You will lead customer-focused project teams as a technical leader, and perform hands-on development of ML solutions with exceptional quality. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure AI/ML and GenAI solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. As an experienced technology professional, you will be responsible for: • Leading project teams and implementing end-to-end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, deployment and monitoring, • Designing and implementing machine learning pipelines that support high-performance, reliable, scalable, and secure ML workloads, • Designing scalable ML solutions and operations (MLOps) using AWS services and leveraging GenAI solutions when applicable, • Collaborating with cross-functional teams (Applied Science, DevOps, Data Engineering, Cloud Infrastructure, Applications) to prepare, analyze, and operationalize data and AI/ML models, • Serving as a trusted advisor to customers on AI/ML and GenAI solutions and cloud architectures, • Sharing knowledge and best practices within the organization through mentoring, training, publication, and creating reusable artifacts, • Ensuring solutions meet industry standards and supporting customers in advancing their AI/ML, GenAI, and cloud adoption strategies This is a customer-facing role with potential travel to customer sites as needed. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. • Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or other related field, • 8+ years of building machine learning models or developing algorithms for business application experience, • 5+ years leading technical teams and hands-on experience focused on data, software, or ML engineering, with understanding of distributed computing (e.g., data pipelines, training and inference, ML infrastructure design), • Experience with automation (e.g., Terraform, Python), Infrastructure as Code (e.g., CloudFormation, CDK), and Containers & CI/CD Pipelines, • Experience building ML pipelines with MLOps best practices, including: data preprocessing, model hosting, feature selection, hyperparameter tuning, distributed & GPU training, deployment, monitoring, and retraining, • Experience with MLOps (e.g., MLFlow, Kubeflow) and orchestration (e.g., Airflow, AWS Step Functions). Experience building applications using GenAI technologies (LLMs, Vector Stores, LangChain, Prompt Engineering) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers.

Why join usBrex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.Finance at BrexThe Finance team is a strategic engine at Brex. We lead planning, forecasting, capital allocation, and ROI analysis — partnering across the business to drive clarity and unlock opportunity. We partner across teams at Brex to ensure our business is building and planning with the same dream big goals throughout our entire organization. We’re not here to report on outcomes; we shape them. If you want to influence company direction and think long-term about value creation, this is where your ownership starts. Cross-functional alignment: We work on complex problems that cut across Engineering, Product, Design, Sales, Marketing, Revenue Operations, CX, and more. This requires the ability to generate buy-in from a wide set of stakeholders on key initiatives.Business intelligence: We are a data-driven organization that always provides data to support our decision-making. When data is not available, we find it in market and competitive research. We convey complex financial information to varied stakeholders in order to influence decisions.Problem solving: We lead with solutions by defining an ambiguous problem, processing information, applying judgment and creativity, and generating buy-in around the answer. This requires the ability to not only track and improve key metrics, but to define what those key metrics should be.Building, not just advising: We ship the models, tooling, and automation that the frameworks depend on, and we own their accuracy.Where you’ll workThis role will be based in our New York office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week Monday, Wednesday, and Thursday. As a perk, we also have up to four weeks per year of fully remote work!What You’ll DoWe are building out the Strategic Finance team and looking for someone to join the function and partner with leadership to maximize ROI from our investments.In this role, you will own the frameworks Brex uses to underwrite and measure return on investment across the business. You will translate roadmap proposals, GTM investments, headcount requests, and pricing changes into expected return, payback, and opportunity cost, so that business partners and Finance underwrite decisions off the same set of numbers. You will work with leaders across the company, and you will close the loop after the fact, measuring realized return against what was originally underwritten.You will bring both the financial and the commercial point of view, and need to embrace challenges and structure complex problems. This role carries high exposure to Executive Leadership, as you will regularly deliver analysis and recommendations directly to the Leadership team.ResponsibilitiesBuild and own the frameworks used to evaluate investment decisions across the business, spanning R&D, GTM, headcount, and pricingPartner with business leaders on capital allocation: sizing the cost of a given bet, pricing the tradeoffs between competing uses of the next dollar, and framing opportunity cost in terms leadership can act onDevelop the unit economics and ROI measurement standards applied to new product launches, pricing changes, GTM programs, and platform investmentsRun post-investment measurement on major bets, comparing realized return to what was underwritten and feeding those learnings back into the frameworkQuantify the downstream commercial impact of product and GTM decisions on revenue, margin, and customer lifetime valueTranslate operating and capacity inputs into financial impact, and financial constraints into terms business partners can plan againstBuild shared definitions and a single source of truth across Finance, EPD, GTM, and Revenue Operations so all organizations plan off the same numbersShip the models, dashboards, and automation the frameworks depend on, and own their accuracyProvide ad hoc analytical support to GTM Finance and Revenue Operations on pipeline, conversion, retention, expansion, and go-to-market efficiency questionsRequirementsBachelor’s Degree in Economics, Finance, Business, or related field2+ years of Strategic Finance, FP&A, or Investment Banking experienceAn AI-first mindset: you default to asking how AI can improve every workflow, you actively experiment with new tools, and you have used AI to accelerate analysis or automate a taskMastery of Excel and PowerPoint with proven experience in building financial models and managing complex data Strong communication, team-working, quantitative and analytical skillsIntellectual curiosity, a collaborative work style, and the drive to take ownership in a fast-moving environmentComfort managing multiple workstreams simultaneously and proactively driving work forward without being askedA bias toward proactive insight over reactive reportingAbility to operate independently, build structure in ambiguous environments, and prioritize effectivelyComfort working directly in data: SQL or BI tooling experience is a strong plus (Snowflake, Hex, Looker, or Salesforce)CompensationThe expected salary range for this role is $117,520 USD - $146,900 USD. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation packageBrex LLC is a wholly owned subsidiary of Capital One, N.A.Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.

Apply 26977072 New York, New York, United States Hybrid Jul. 20, 2026 Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact. Citi's COO Technology organization is building one of the most consequential AI platforms in global financial services and this is the role that leads it. The Head of AI Solutions is a newly created, executive-level position with a clear mandate: architect a unified AI strategy, build a world-class engineering team, and deliver production-grade AI at scale across the operational nerve center of a global bank. This is not a coordination or advisory role. It is a builder's role one with the budget, the mandate, and the organizational reach to make it real. You will own the AI strategy and delivery capability across a $200M+ technology portfolio spanning some of the most operationally complex domains in banking: KYC, fraud detection, wholesale lending operations, global reconciliations, cash management, payments control, non-financial regulatory reporting, payroll, and international operations . The scale is significant, the problems are highly complex at this stage, and the impact is direct the solutions you build will influence how trillions of dollars in transactions flow daily, how regulatory risk is managed, and how Citi's operational infrastructure evolves over the next decade. Unlike a role at a pure-play technology company, you will be solving AI challenges where failure has regulatory and systemic consequence and where success reshapes the economics and resilience of critical global operations. The ambiguity is real, the stakes are high, and the opportunity for lasting impact is unmatched. This role reports directly to the Head of COO Technology. Responsibilities: Define and own the multi-year AI strategy for the COO Technology portfolio; translate business intent into a concrete, milestone-driven execution roadmap with measurable outcomes Develop architecture blueprints and end-to-end systems design for Generative AI and agentic workflows across diverse operational domains Build the shared AI platform reusable models, tooling, guardrails, evaluation frameworks, and accelerators that reduces duplication, lowers cost, and enables faster adoption across COO Establish and enforce engineering standards, architectural guardrails, and development patterns across all AI initiatives Define a rigorous total cost of ownership model for developing, deploying, and sustaining AI in production Identify and evaluate emerging GenAI technologies, foundation models, and agent frameworks and make deliberate, defensible decisions on where to build, buy, or partner Production AI Delivery at Enterprise Scale Lead end-to-end delivery of AI solutions across high-complexity, regulated operational environments from architecture through production deployment, monitoring, and continuous improvement Drive the agentic product development lifecycle: runtime harness design, evaluation frameworks, human-in-the-loop workflows, feedback loops, and production readiness criteria Manage cross-functional delivery spanning engineering, product, data, architecture, cyber, risk & compliance, and operations Proactively identify and resolve dependencies, critical path risks, and systemic delivery blockers; ensure on-time, on-budget execution Ensure all AI solutions meet production-grade standards: stability, scalability, auditability, explainability, and regulatory compliance Serve as the senior AI executive point of contact for COO function leads partnering directly with the Heads of Core Operations Technology, Shared Services Technology, and Controls Technology Lead AI governance forums and Architecture Review Boards; establish clear decision rights and review cadences across the portfolio Translate complex technical realities into clear, compelling narratives for senior non-technical audiences including COO, CIO, and regulatory stakeholders Develop executive-level communications steering committee materials, portfolio dashboards, and milestone tracking that improve decision velocity and reduce execution risk Ensure full adherence to Citi's internal policies, risk and control frameworks, model risk management (MRM) standards, and applicable regulatory requirements Building the AI Engineering Organization Build, structure, and lead a high-performing AI engineering function aligned to COO's operational priorities including team topology, operating model, and career pathways Foster a culture of technical excellence, intellectual curiosity, and pragmatic innovation: engineers who ship production solutions, not prototypes Own and manage the AI technology portfolio budget (~$200M), driving disciplined funding allocation, financial transparency, and cost-to-serve accountability Lead productivity and efficiency programs with measurable targets across cycle time, quality, throughput, and engineering leverage Define and optimize vendor and partner strategy, including strategic AI platform partnerships (e.g., Google, Anthropic), third-party tooling, and outsourced delivery models 15+ years of experience in Technology - Required: Generative AI & LLM Engineering: Deep, hands-on expertise in large language models including model selection, fine-tuning, prompt engineering, retrieval-augmented generation (RAG), vector database design, and evaluation methodologies. You understand how models behave in production, not just in demos. Agentic Systems Design: Proven experience designing and deploying multi-agent architectures and orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI); tool-use patterns, human-in-the-loop workflows, and agentic safety at enterprise scale AI/ML Engineering & MLOps: Full AI/ML lifecycle ownership: training pipelines, model deployment, versioning, monitoring, drift detection, observability (e.g., Weights & Biases, Arize), and lifecycle management using platforms such as MLflow, Vertex AI, or SageMaker Cloud AI Platforms: Demonstrated deployment of AI workloads on AWS, GCP, and/or Azure including managed ML services, scalable inference infrastructure, and vector stores Programming & Frameworks: Strong Python proficiency; working knowledge of PyTorch or TensorFlow; applied experience with AI application frameworks (LangChain, LlamaIndex, or equivalents) Enterprise AI Architecture: Designing AI systems for regulated production environments: data security, model explainability, audit logging, access controls, and integration with legacy systems Leadership & Delivery - Required: 15+ years in technology, with a proven record of leading large-scale engineering organizations through build-out and transformation 10+ years of management experience, including direct leadership of senior engineers and architects, and management of managers across global teams Demonstrated delivery of enterprise AI solutions with realized measurable business outcomes not just successful pilots or proofs of concept Experience managing large, complex technology budgets ($50M+) with accountability for financial transparency and ROI Track record of operating effectively in matrixed, cross-functional organizations at the intersection of technology and operations Deep familiarity with financial services operations and the regulatory landscape particularly KYC/AML, fraud, reconciliations, and regulatory reporting Strong understanding of model risk management (MRM) and what it takes to move AI from development to production under regulatory scrutiny Experience engaging with strategic technology partners (cloud providers, AI platform companies) at an executive level Leadership Profile You build platforms, not point solutions you instinctively seek the reusable, the shared, the scalable You are equally credible in a deep technical architecture review and a board-level strategy discussion You attract, develop, and retain strong technical talent engineers want to work for you because they grow You operate with clarity and urgency in ambiguous environments; complexity energizes rather than paralyzes you You communicate with precision you can make a complex AI architecture concept land with a CRO, a COO, and a principal engineer, and you do it differently for each Education: Bachelors required; Master's in CS, AI/ML, or related field preferred What success looks like: In the first year, we expect the successful candidate to: Establish the AI engineering team and operating model hire and structure a high-performing team with clear roles, responsibilities, and a strong culture Deliver 3+ production-grade agentic AI systems across priority COO domains, with measurable operational impact (cost, speed, quality, or risk reduction) Launch the shared AI platform reusable RAG infrastructure, evaluation frameworks, and common tooling adopted across COO Technology Define and align the multi-year AI roadmap with COO function leads and the Head of COO Technology, with clear prioritization, milestones, and funding allocation Establish AI governance Architecture Review Boards, model risk processes, and compliance frameworks embedded in the delivery lifecycle Why this role Scale that is rare. You will build AI capabilities across one of the world's most operationally complex banking platforms with direct, measurable impact on how trillions of dollars in transactions are processed, controlled, and reported daily. Greenfield mandate. The team, the platform, and the strategy are yours to define. You will set the architectural direction, the engineering culture, and the standards that govern AI across the COO portfolio. Uniquely hard problems. Banking operations at this scale generate AI challenges that simply do not exist elsewhere legacy system integration, regulatory auditability requirements, multi-jurisdictional data constraints, and the need for explainability in consequential decisions. If you want to solve problems that matter and that are genuinely difficult, this is the role. Executive visibility and sponsorship. This role has CIO and COO-level visibility, a clear organizational mandate, and the budget to execute without delay. Strategic partnerships. Collaborate directly with Google, Anthropic, and leading cloud AI providers to design and deploy core platform capabilities at scale. Citi is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. ------------------------------------------------------ Technology ------------------------------------------------------ Applications Development ------------------------------------------------------ Full time ------------------------------------------------------ New York New York United States ------------------------------------------------------ $250,000.00 - $500,000.00 In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire. ------------------------------------------------------ Please see the requirements listed above. ------------------------------------------------------ For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ ------------------------------------------------------ We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi. Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details. Illinois residents AI Notice and Right ( opens in new window) ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi ( opens in new window) . View Citi's EEO Policy Statement ( opens in new window) and the Know Your Rights ( opens in new window) poster. Apply