Job Description Applied AI Engineer, Product and Delivery Hybrid Portland, ME or Remote (East Coast / Chicago) $225,000 to $275,000 plus equity Most AI job ads ask for an engineer who can tolerate the business. This one is the reverse. We are hiring someone whose core strength is problem solving and commercial judgement, and who has started building with AI rather than just talking about it. If you are the person on your team who takes a vague question from an operator, works out what actually needs answering, and has recently been prototyping your own tooling with LLMs, read on. The Company A newly independent company, spun out of the value creation team of a private equity firm. Its proprietary platform builds a digital twin of an organisation, simulating its people, processes and systems to produce an actionable roadmap for AI-driven value creation. The founding team comes from quantitative finance, top-tier strategy consulting and leading analytics and technology firms. The work is evidence-based, auditable and used by investors and management teams to make real decisions about real businesses. This is a founding-stage team. You will shape what gets built. The Role You sit between the consultants and analysts doing client work and the engineers building the product. Your job is to close the gap between them. Sit with consultants and data analysts, watch the work, and find where it is slow, manual or error-prone Take an ambiguous business problem and sharpen it into a requirement someone can build against Design and build LLM-powered prototypes to test whether an idea is worth pursuing Define what a good output looks like and build the checks that prove it Partner with software engineers to productionise what works, and drive adoption into the delivery workflow Lead design reviews and mentor the analysts and engineers building alongside you Track new models, frameworks and agentic tooling, and form a view on what is worth adopting What We Are Looking For The non-negotiables: Problem solving. You scope ruthlessly. You know the difference between the analysis that is complete and the analysis that is sufficient, and you ship the second one Business acumen. You understand how an operational change shows up in the numbers. P&L, EBITDA, labour cost. You can connect a technical output to a client's investment thesis Operator exposure. You have worked directly with the people running a business, not adjacent to them. Your work changed what someone did on Monday Quality instinct. You check your own work by reflex. You can tell us about a time you caught something before it went out, and what you changed afterwards Strong SQL and the ability to build, not just specify Big plus: Applied AI experience, at any depth. Internal tools, automated workflows, agent prototypes, LLM-assisted analysis. What matters is that you have built something real and learned where it falls over Python Fluency with agentic development tooling such as Claude Code, subagents and custom skills LangChain, LangGraph or similar orchestration frameworks Experience with LLM-as-judge evaluation patterns Consulting, private equity or another deadline-driven client-service background Forward-deployed or solutions work where you built something for one customer and then generalised it into product You do not need a background as a machine learning engineer. Data analysts, analytics leads, business operations people, consultants and value creation professionals who have started building with AI are exactly who we want to hear from. What Is On Offer Cash compensation of $225,000 to $275,000 Equity in a newly independent business at the point of spin-out Hybrid in Portland, ME preferred, with fully remote considered for candidates on the East Coast or in Chicago Direct influence over the product and the technical direction, on a team small enough that your judgement carries How to Apply Apply through this advert or get in touch for a confidential conversation.
10/06/2026
Full time
Job Description Applied AI Engineer, Product and Delivery Hybrid Portland, ME or Remote (East Coast / Chicago) $225,000 to $275,000 plus equity Most AI job ads ask for an engineer who can tolerate the business. This one is the reverse. We are hiring someone whose core strength is problem solving and commercial judgement, and who has started building with AI rather than just talking about it. If you are the person on your team who takes a vague question from an operator, works out what actually needs answering, and has recently been prototyping your own tooling with LLMs, read on. The Company A newly independent company, spun out of the value creation team of a private equity firm. Its proprietary platform builds a digital twin of an organisation, simulating its people, processes and systems to produce an actionable roadmap for AI-driven value creation. The founding team comes from quantitative finance, top-tier strategy consulting and leading analytics and technology firms. The work is evidence-based, auditable and used by investors and management teams to make real decisions about real businesses. This is a founding-stage team. You will shape what gets built. The Role You sit between the consultants and analysts doing client work and the engineers building the product. Your job is to close the gap between them. Sit with consultants and data analysts, watch the work, and find where it is slow, manual or error-prone Take an ambiguous business problem and sharpen it into a requirement someone can build against Design and build LLM-powered prototypes to test whether an idea is worth pursuing Define what a good output looks like and build the checks that prove it Partner with software engineers to productionise what works, and drive adoption into the delivery workflow Lead design reviews and mentor the analysts and engineers building alongside you Track new models, frameworks and agentic tooling, and form a view on what is worth adopting What We Are Looking For The non-negotiables: Problem solving. You scope ruthlessly. You know the difference between the analysis that is complete and the analysis that is sufficient, and you ship the second one Business acumen. You understand how an operational change shows up in the numbers. P&L, EBITDA, labour cost. You can connect a technical output to a client's investment thesis Operator exposure. You have worked directly with the people running a business, not adjacent to them. Your work changed what someone did on Monday Quality instinct. You check your own work by reflex. You can tell us about a time you caught something before it went out, and what you changed afterwards Strong SQL and the ability to build, not just specify Big plus: Applied AI experience, at any depth. Internal tools, automated workflows, agent prototypes, LLM-assisted analysis. What matters is that you have built something real and learned where it falls over Python Fluency with agentic development tooling such as Claude Code, subagents and custom skills LangChain, LangGraph or similar orchestration frameworks Experience with LLM-as-judge evaluation patterns Consulting, private equity or another deadline-driven client-service background Forward-deployed or solutions work where you built something for one customer and then generalised it into product You do not need a background as a machine learning engineer. Data analysts, analytics leads, business operations people, consultants and value creation professionals who have started building with AI are exactly who we want to hear from. What Is On Offer Cash compensation of $225,000 to $275,000 Equity in a newly independent business at the point of spin-out Hybrid in Portland, ME preferred, with fully remote considered for candidates on the East Coast or in Chicago Direct influence over the product and the technical direction, on a team small enough that your judgement carries How to Apply Apply through this advert or get in touch for a confidential conversation.
Job Description Digital Analyst $70,000 - $82,500 New York City, NY (Hybrid) Retail & Ecommerce The Organization A leading retail and ecommerce organization is seeking a Digital Analyst to join its analytics team. This is an opportunity to support a data-driven business focused on understanding customer behavior, improving digital experiences, and driving informed decision-making across key stakeholders. The Role The Digital Analyst will be responsible for analyzing digital performance and customer behavior data to generate actionable insights that support business objectives. Responsibilities include: • Using SQL to extract, analyze, and manipulate data from multiple databases and sources • Leveraging Google Analytics and/or Adobe Analytics to measure website performance and understand customer behavior • Supporting A/B testing and multivariate testing initiatives to evaluate and improve digital experiences • Building dashboards, reports, and visualizations that support data-driven decision-making • Identifying trends, patterns, and opportunities within digital and customer data • Partnering with business and technical teams to align analytics initiatives with strategic goals • Presenting findings and recommendations to stakeholders across the organization The Requirements • Strong experience using SQL for data extraction, analysis, and reporting • Experience working with Google Analytics and/or Adobe Analytics • Hands-on experience supporting A/B testing and/or multivariate testing initiatives • Experience using data visualization tools such as Tableau, Power BI, Looker, or similar platforms • Ability to translate complex datasets into meaningful business insights • Strong communication and presentation skills • Experience working cross-functionally with both technical and non-technical stakeholders Salary & Benefits • $70,000 - $82,500 base salary • Comprehensive benefits package • Hybrid working environment • Opportunity to work closely with cross-functional stakeholders on business-critical initiatives How To Apply Interested candidates should apply via LinkedIn Easy Apply. Due to the volume of applications, only candidates whose experience closely aligns with the requirements of the position will be contacted.
10/06/2026
Full time
Job Description Digital Analyst $70,000 - $82,500 New York City, NY (Hybrid) Retail & Ecommerce The Organization A leading retail and ecommerce organization is seeking a Digital Analyst to join its analytics team. This is an opportunity to support a data-driven business focused on understanding customer behavior, improving digital experiences, and driving informed decision-making across key stakeholders. The Role The Digital Analyst will be responsible for analyzing digital performance and customer behavior data to generate actionable insights that support business objectives. Responsibilities include: • Using SQL to extract, analyze, and manipulate data from multiple databases and sources • Leveraging Google Analytics and/or Adobe Analytics to measure website performance and understand customer behavior • Supporting A/B testing and multivariate testing initiatives to evaluate and improve digital experiences • Building dashboards, reports, and visualizations that support data-driven decision-making • Identifying trends, patterns, and opportunities within digital and customer data • Partnering with business and technical teams to align analytics initiatives with strategic goals • Presenting findings and recommendations to stakeholders across the organization The Requirements • Strong experience using SQL for data extraction, analysis, and reporting • Experience working with Google Analytics and/or Adobe Analytics • Hands-on experience supporting A/B testing and/or multivariate testing initiatives • Experience using data visualization tools such as Tableau, Power BI, Looker, or similar platforms • Ability to translate complex datasets into meaningful business insights • Strong communication and presentation skills • Experience working cross-functionally with both technical and non-technical stakeholders Salary & Benefits • $70,000 - $82,500 base salary • Comprehensive benefits package • Hybrid working environment • Opportunity to work closely with cross-functional stakeholders on business-critical initiatives How To Apply Interested candidates should apply via LinkedIn Easy Apply. Due to the volume of applications, only candidates whose experience closely aligns with the requirements of the position will be contacted.
Job Description Our client is hiring a full-stack Software Engineer to help build their investment analytics platform. You'll own significant pieces of the infrastructure, make real architectural decisions, and work directly with the business teams who depend on what you build. You'll identify problems, design solutions, and ship - often in the same week. You need to be comfortable with ambiguity, confident making judgment calls, and energized by work where there's no established playbook. RESPONSIBILITIES: Build and own the platform - design and maintain the application infrastructure, API layer, and shared services that power the Analytics Engine end-to-end. Microsoft Azure experience is preferred. Set the technical foundation - make early architectural decisions that will shape how the platform scales; know when to move fast and when to get it right. Develop full-stack applications that surface ML insights and advanced analytics through intuitive, responsive interfaces built in React and TypeScript. C# and SQL experience is valuable. Improve developer velocity - own the build, deploy, and testing pipeline and continuously reduce friction for the team. Integrate AI-native workflows - build tools, prompts, and evals that put real analytical leverage in the hands of investment teams. Work directly with stakeholders - engage with investment, asset management, and capital markets teams to understand problems, gather feedback, and iterate without waiting for someone else to translate. QUALIFICATIONS: 5+ years of full-stack development experience, including time in an early-stage or 0 1 environment (ideally fintech, etc) Proven ability to ship end-to-end independently - from scoping a problem to deploying production code - without needing a designer, PM, or architect to unblock you Experience shipping LLM-native features or applications in production Expert-level React skills: modern patterns (hooks, context, suspense), performance optimization, and component architecture Strong backend proficiency in Python or Node.js; fluent in designing and maintaining scalable APIs Must have worked on a data science or predictive analytics tool/product PREFERRED: Experience building ML-powered application workflows and integrating data science outputs Familiarity with MCP or production LLM integrations Background at an AI-native company or in a product-focused founding environment Experience in real estate, finance, or other data-intensive industries
10/06/2026
Full time
Job Description Our client is hiring a full-stack Software Engineer to help build their investment analytics platform. You'll own significant pieces of the infrastructure, make real architectural decisions, and work directly with the business teams who depend on what you build. You'll identify problems, design solutions, and ship - often in the same week. You need to be comfortable with ambiguity, confident making judgment calls, and energized by work where there's no established playbook. RESPONSIBILITIES: Build and own the platform - design and maintain the application infrastructure, API layer, and shared services that power the Analytics Engine end-to-end. Microsoft Azure experience is preferred. Set the technical foundation - make early architectural decisions that will shape how the platform scales; know when to move fast and when to get it right. Develop full-stack applications that surface ML insights and advanced analytics through intuitive, responsive interfaces built in React and TypeScript. C# and SQL experience is valuable. Improve developer velocity - own the build, deploy, and testing pipeline and continuously reduce friction for the team. Integrate AI-native workflows - build tools, prompts, and evals that put real analytical leverage in the hands of investment teams. Work directly with stakeholders - engage with investment, asset management, and capital markets teams to understand problems, gather feedback, and iterate without waiting for someone else to translate. QUALIFICATIONS: 5+ years of full-stack development experience, including time in an early-stage or 0 1 environment (ideally fintech, etc) Proven ability to ship end-to-end independently - from scoping a problem to deploying production code - without needing a designer, PM, or architect to unblock you Experience shipping LLM-native features or applications in production Expert-level React skills: modern patterns (hooks, context, suspense), performance optimization, and component architecture Strong backend proficiency in Python or Node.js; fluent in designing and maintaining scalable APIs Must have worked on a data science or predictive analytics tool/product PREFERRED: Experience building ML-powered application workflows and integrating data science outputs Familiarity with MCP or production LLM integrations Background at an AI-native company or in a product-focused founding environment Experience in real estate, finance, or other data-intensive industries
