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Job Description: Job Title: CFO Data Management - Controls Analyst Corporate Title: Vice President Location: Chester Company Overview: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being a diverse and inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Location Overview: Find us in the city of Chester, a destination renowned for its culture, history, and beauty. Working at Bank of America Chester offers a far-reaching global career for a world-renowned organisation, whilst being ideally situated against the backdrop of the rolling North Wales hills and the banks of the serene River Dee. The Team: CFO Data Management (CFO DM) is responsible for ensuring data is timely, accurate and complete with respect to Bank of America’s Treasury Function’s needs and use cases. This role forms part of the Treasury Data Management Controls Team. The CFO DM Controls Team is a horizontal function with three key areas of focus: execution of daily and monthly data quality controls, manual adjustments to address data issues and month end reconciliations to ensure complete and accurate data to downstream data consumers accountable for the adherence to regulatory mandates. The role will have responsibility for the month end reconciliations for GRIFFIN including expanding coverage to include Merrill Lynch International, presenting month end results to stakeholders in GRR and GFC, driving root cause analysis for breaks and remediation of these. Role Description: The role will have responsibility for the month end reconciliations between GRIFFIN (EMEA Regulatory reporting platform) and the general ledger. The reconciliation will cover the following entities/branches: BofASE, BofAE DAC, BANA London and MLI. Responsibilities: <ul> <li>Expanding legal entity coverage to include a month end reconciliation for Merrill Lynch International</li> <li>Supervising the reconciliation team who are based in India</li> <li>Presenting month end reconciliation results to stakeholders including EMEA GRR, legal entity CFOs, and other key stakeholders</li> <li>Driving root cause analysis for month end breaks collaborating with CFO DM Product SMEs, GBAM Finance and business partners on data needs, upstream data sourcing, and remediation</li> <li>Coordination of escalation to address exceptions, threshold breaches and data quality/data gap remediation.</li> <li>Work with CFO DM GRIFFIN controls team to improve/remediate manual adjustments for data gaps identified by the reconciliation process</li> <li>Engage and build relationships with business and technical stakeholders at varied levels to align on key objectives and provide data control oversight and proactively escalate and mitigate risk. Ensure adherence to applicable policies.</li> <li>Operational Excellence – enhance CFO DM processes through identification and analysis of processes and own the delivery of solution(s).</li> <li>Develop a strong knowledge of CFO DM Controls processes and how they link to stakeholder (GRR) daily/monthly reporting.</li> <li>Ensure processes, procedures and routines are well documented and followed consistently.</li> <li>Support Audit and Regulatory requests.</li> </ul> What we are looking for: <ul> <li>Excellent problem solving and analytical skills</li> <li>Attention to detail and an ability to “connect the dots”</li> <li>Advanced Microsoft Office</li> <li>Capacity to handle multiple tasks and work in a flexible environment</li> <li>Ability to think and act independently, detailed oriented and organized;</li> <li>Excellent verbal and written communication skills and the ability to build relationships across a matrixed organization.</li> <li>Time management and ability to meet SLAs and deadlines</li> </ul> Skills that will help: • Knowledge and prior experience with Regulatory Reporting • SQL experience querying large sets of data • Basic knowledge of Tableau and/or Alteryx • Product knowledge and experience of end to end trade bookings • Data Management experience Benefits of working at Bank of America: UK <ul> <li>Private healthcare for you and your family plus an annual health screen to help you manage your physical wellness with the option to purchase a screen for your partner</li> <li>Competitive pension plan, life assurance and group income protection cover if you become unable to work as a result of a disability or health reasons</li> <li>20 days of back-up childcare including access to school holiday clubs and 20 days of back-up adult care per annum</li> <li>The ability to change your core benefits as well as the option of selecting a variety of flexible benefits to suit your personal circumstances including access to a wellbeing account, travel insurance, critical illness etc.</li> <li>Access to an emotional wellbeing helpline, mental health first aiders and virtual GP services.</li> <li>Access to an Employee Assistance Program for confidential support and help for everyday matters</li> <li>Ability to donate to charities of your choice directly through payroll and the bank will match your contribution</li> <li>Opportunity to access our Arts &amp; Culture corporate membership program and receive discounted entry to some of the UK’s most iconic cultural institutions and exhibitions.</li> <li>Opportunity to give back to your community, develop new skills and work with new groups of people by volunteering in your local community.</li> </ul> Bank of America: Good conduct and sound judgment is crucial to our long term success. It’s important that all employees in the organisation understand the expected standards of conduct and how we manage conduct risk. Individual accountability and an ownership mind-set are the cornerstones of our Code of Conduct and are at the heart of managing risk well. We are an equal opportunities employer and ensure that no applicant is subject to less favourable treatment on the grounds of sex, gender identity or gender reassignment, marital or civil partner status, race, religion or belief, colour, nationality, ethnic or national origins, age, sexual orientation, pregnancy or maternity, socio-economic background, responsibility for dependants or physical or mental disability. The Bank selects candidates for interview based on their skills, qualifications and experience. We strive to ensure that our recruitment processes are accessible for all candidates and encourage any candidates to tell us about any adjustment requirements.

Bank of America

Senior Data Analyst

Outlier

AI Training for Sociology

Job Description: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Job Summary: Client Protection is looking for an experienced analytical leader to join the digital commerce fraud strategy team. This is an exciting opportunity given the constantly evolving nature of digital adoption and attacks in marketplace as well as in money movement. The incumbent will be responsible for managing a team focused on fraud and scam prevention strategies for key digital money movement channels. Responsibilities will include, working across multiple lines of business; partnering with product, technology, operations, vendors, and others; responsibility for the overall first party fraud loss line; and evaluating various internally developed and vendor provided machine learning tools to maximize client experience while managing fraud most effectively. As a Fraud Strategy Manager with the Client Protection organization, you will capitalize on technical abilities and strategic thinking to solve business challenges and seek opportunities for improvement. You will join a team of fraud professionals who are dedicated to stopping criminals and protecting customers. In the role you will spend time analyzing difficult problems as we try to stay one step ahead of the fraudsters. You will develop complex defenses designed to minimize the impact to good customers while maximizing fraud loss avoidance. You will work across multiple partner organizations and represent our team as a subject matter expert. We are looking for someone with strong communication skills, sound business judgement, results oriented with a track record of thriving in a fast-paced entrepreneurial environment. The role will be responsible for several key areas: • Develop and implement robust third-party fraud and scam detection program rooted in digital space to safeguard the organization against financial fraud. • Provide recommendations on mitigation efforts, ensuring monitors are in place, and will self-create initiatives as needed. • Lead a team of fraud analysts in the identification, investigation, and mitigation of fraud activity. • Collaborate with cross-functional teams to integrate fraud detection measures into existing systems and processes. • Stay abreast of industry trends, emerging threats, and technological advancements to continuously enhance fraud prevention methodologies. • Analyze data and conduct investigations to identify patterns, trends, and anomalies indicative of potential fraud. • Identifying new sources of data (internal or vendor-provided) that can enrich our existing detection processes, be added to our decision systems, and allow for new detection strategies to be developed. Will require close coordination with partners in Fraud Technology. • Drive the development of new models designed to detect fraud activity. • Ensuring proper risk controls are deployed, while adhering to best practices. • Provide oversight on defect reviews of 3rd party/scam loss cases to identify any gaps in Fraud strategy and/or procedural adjustments. • Providing fraud requirements, testing, and development of strategies for new project and endeavors • Lead the team to Develop, implement, and continuously improve fraud detection algorithms and systems. Perform regular audits and analysis of transaction data to detect new fraud trends. • Guiding team to Develop new fraud strategies using statistical and analytical techniques. Goal will be to identify and mitigate new and emerging fraud threats. • Design and monitor key fraud metrics and KPIs to evaluate the effectiveness of fraud prevention. • Monitor Strategy performance and Optimization of existing detection strategies to determine areas where rules can be adjusted to decline fewer false positives and improve the ROI and overall performance of our fraud strategies. • Systems Integration: Integrate fraud detection systems with core banking and transaction processing systems using APIs and middleware solutions. Collaborate with IT and software development teams to ensure seamless integration and functionality of fraud management systems. Manage and optimize the performance of fraud detection systems and tools. • Policy and Strategy Development: Stay updated with the latest fraud trends, regulatory requirements, and best practices. Lead the creation and refinement of fraud detection and prevention strategies. • Work closely with compliance, legal, risk management, and other relevant departments to align fraud management efforts with organizational goals. Conduct training sessions and workshops to educate staff on fraud detection techniques and policies. • Identify process improvements and efficiencies via data analysis. • Deliver accurate metrics related to fraud and claim activity. Validate the integrity and quality of data required for performing analysis. • Partner with claims, policy, strategy, and product teams to deliver data insights and analysis that inform critical decisions and help achieve goals. Required Qualifications: • 3+ years of experience in advanced to expert level in SQL and SAS • Minimum 7 years of work experience in large financial institution with specialization in data analytics • Minimum 5 years of experience in managing teams. Desired Qualifications: • The candidate must be at an advanced to expert level in SAS and SQL. Should also have familiarity with other programming languages such as Python, R, or Java. Knowledge of data extraction tools such as Hive or Hue will be useful. • Experience in Statistical model utilization • 3+ years of decision tree development • Experience in managing fraud for digital products (Zelle, Wires, ACH, Bill pay) • Expertise in fraud detection and management platforms, specifically SAS Fraud Management and creation of user defined variables for rule development. • Ability to work in a fast-paced, dynamic environment is critical. • Must have exceptional organizational, project management and communications skill. • Candidate must have a proven track record of building and deploying analytical solutions that have resulted in material financial results. • Ability to work independently as well as effectively work in teams with individuals with a variety of skills and backgrounds. • Advanced analytical and quantitative skills with demonstrated ability in using data and metrics to identify root causes. • Basic understanding of 1st and 3rd party fraud (claims to charge-off timing, chargeback recovery rights, etc.) • Proven strong analytical and communication skills. • Experience in working with tools like SAS E-miner and use machine learning models to identify patterns and anomalies in transaction data indicative of fraudulent activity. • Bachelor’s degree, preferably in a quantitative discipline such as mathematics, statistics, operations research, engineering, computer science, finance, or business. Skills: <ul> <li>Analytical Thinking</li> <li>Business Analytics</li> <li>Data Mining</li> <li>Fraud Management</li> <li>Business Process Analysis</li> <li>Critical Thinking</li> <li>Influence</li> <li>Relationship Building</li> <li>Strategy Planning and Development</li> <li>Business Case Analysis</li> <li>Issue Management</li> <li>Leadership Development</li> <li>Process Performance Measurement</li> <li>Recruiting</li> </ul> Shift:1st shift (United States of America) Hours Per Week: 40

Fraud Analytics and Innovation Senior Leader - Client Protection

R1 is the leading provider of technology-driven solutions that transform the patient experience and financial performance of hospitals, health systems and medical groups. We are the one company that combines the deep expertise of a global workforce of revenue cycle professionals with the industry’s most advanced technology platform, encompassing sophisticated analytics, AI, intelligent automation, and workflow orchestration. We are seeking a Data Engineer III to join our Data Platform team. This role will report to the senior engineering manager of data platform and be involved in the planning, design, and implementation of our automated data lake solution to support analytics across all applications within the company. What you will do: <ul> <li>Collaborate with and across Agile teams to develop, test, implement, and support technical solutions. </li> <li>Work with other team with deep experience in analytics and operation to understand how to centralize their data. </li> <li>Share your passion for staying experimenting with and learning new technologies. </li> </ul>What you will bring: <ul> <li>3+ years' work experience in the software engineering or data engineering domain</li> <li>Expert knowledge and experience working with Scala and Spark</li> <li>Experience working with modern data pipeline orchestration tools to create complex ETL pipeline jobs</li> <li>Experience working with SQL and NoSQL database systems</li> <li>Experience in distributed system architecture design </li> <li>Experience with acquiring and preparing data from primary and secondary disparate data sources</li> </ul>Nice to haves: <ul> <li>Experience with cloud environments (Azure Preferred) </li> <li>Experience working with Databricks</li> <li>Healthcare industry experience</li> <li>Experience working with agile methodology</li> </ul>For this US-based position, the base pay range is $75,504.00 - $134,521.77 per year . Individual pay is determined by role, level, location, job-related skills, experience, and relevant education or training.This job is eligible to participate in our annual bonus plan at a target of 10.00%The healthcare system is always evolving — and it’s up to us to use our shared expertise to find new solutions that can keep up. On our growing team you’ll find the opportunity to constantly learn, collaborate across groups and explore new paths for your career. Our associates are given the chance to contribute, think boldly and create meaningful work that makes a difference in the communities we serve around the world. We go beyond expectations in everything we do. Not only does that drive customer success and improve patient care, but that same enthusiasm is applied to giving back to the community and taking care of our team — including offering a <a href="http://go.r1rcm.com/benefits" target="_blank">competitive benefits package.</a>R1 RCM Inc. (“the Company”) is dedicated to the fundamentals of equal employment opportunity. The Company’s employment practices , including those regarding recruitment, hiring, assignment, promotion, compensation, benefits, training, discipline, and termination shall not be based on any person’s age, color, national origin, citizenship status, physical or mental disability, medical condition, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status or any other characteristic protected by federal, state or local law. Furthermore, the Company is dedicated to providing a workplace free from harassment based on any of the foregoing protected categories.If you have a disability and require a reasonable accommodation to complete any part of the job application process, please contact us at 312-496-7709 for assistance.CA PRIVACY NOTICE: California resident job applicants can learn more about their privacy rights <a href="https://f.hubspotusercontent20.net/hubfs/4941928/California%20Consent%20Notice.pdf" target="_blank">California Consent </a>To learn more, visit: <a href="https://R1RCM.com" target="_blank">R1RCM.com</a>Visit us on <a href="https://www.facebook.com/R1RCM" target="_blank">Facebook</a>

R1 RCM

Data Engineer III

Remote Coding Expertise for AI Training (Ukrainian)

Job Description: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Job Summary This job is responsible for reviewing and interpretating large datasets to uncover revenue generation opportunities and ensuring the development of effective risk management strategies. Key responsibilities include working with lines of business to comprehend problems, utilizing sophisticated analytics and deploying advanced techniques to devise solutions, and presenting recommendations based on findings. Job expectations include demonstrating leadership, resilience, accountability, a disciplined approach, and a commitment to fostering responsible growth for the enterprise. This job is responsible for supporting advanced analytics technical development and the pathway to optimality, scalability, and sustainability in close partnership with Bank of America Technology. This work closely integrates with business efforts to improve portfolio risk, profitability, performance forecasting, and operational performance for customer products and related divisions such as credit cards. Key responsibilities include applying knowledge of multiple business and technical-related topics and independently driving strategic improvements, large-scale projects, and initiatives. Job expectations include working with counterparts within the Line of Business, across the technology organization, and risk teams. Client Protection Shared Services – Advanced Analytics is looking for a seasoned and energetic data science leader to join our team as a Lead Data Scientist and help us deliver data science products to the production environment especially for scalable graph analytics. In this role, you will be expected to work on large and complex data science projects. Collaborating with internal strategy, technology, product, and policy partners to deploy advanced analytical solutions with the goal of reducing fraud losses, lowering false positive impacts, improving client experience, and ensuring the Bank minimizes its total cost of fraud. Responsibilities: <ul> <li>Enables business analytics, including data analysis, trend identification, and pattern recognition, using advanced techniques to drive decision making and collection data driven insights</li> <li>Applies agile practices for project management, solution development, deployment, and maintenance</li> <li>Develops and reviews technical documentation, capturing the business requirements, and specifications related to the developed analytical solution and implementation in production</li> <li>Manages multiple priorities and ensures quality and timeliness of work deliverables such as quantitative models, data science products, data analysis reports, or data visualizations, while exhibiting the ability to work independently and in a team environment</li> <li>Delivers presentations in an engaging and effective manner through in-person and virtual conversations that communicates technical concepts and analysis results to a diverse set of internal stakeholders, and develops professional relationships to foster collaboration on work deliverables</li> <li>Supports the identification of potential issues and development of controls</li> <li>Maintains knowledge of the latest advances in the fields of data science and artificial intelligence to support business analytics</li> <li>Manages a roadmap of data science use cases for technical development and implementation to the production environment in close partnership with Bank of America Technology</li> <li>Manages relationships with multiple technology platform and development team leaders including alignment of roadmaps, managing projects, and managing risks</li> <li>Engages business and technology senior leaders on reporting of project/deliverable statuses, opportunity identification, and planning efforts</li> <li>Oversees development, delivery and quality assurance for data science use cases delivered to the production environment and other areas of the line of business</li> <li>Performs complex analysis of financial models, market data, financial data, and portfolio trends to understand product performance and improve portfolio risk, profitability, performance forecasting, and operational performance</li> <li>Coaches and mentors peers to improve proficiency in a variety of systems and serves as a subject matter expert on multiple business and technical-related topics</li> <li>Identifies business trends based on economic and portfolio conditions and communicates findings to senior management</li> <li>Supports execution of large scale projects, such as platform conversions or new project integrations by conducting advanced reporting and drawing analytics based insights</li> <li>Link Analysis/Graph analytics to find and mitigate densely connected fraud networks</li> <li>Developing and tuning graph algorithms to maximize detection of fraud</li> <li>Assist with the generation, prioritization, and investigation of fraud rings </li> </ul> Required Qualifications • Minimum of 4 years of experience in data and analytics • Must have familiarity with Graph databases (e.g. TigerGraph, Neo4J) and graph query languages • Must be proficient with SQL and one of SAS, Python, or Java • Critical problem-solving skills including selection of data and deployment of solutions • Proven ability to manage projects, exercise thought leadership and work with limited direction on complex problems to achieve project goals while also leading a broader team • Excellent communication and influencing skills • Thrives in fast-paced and highly dynamic environment • Intellectual curiosity and strong urge to figure out the “whys” of a problem and come up with creative solutions • Expertise handling data across its lifecycle in a variety of formats and storage technologies (e.g., structured, semi-structured, unstructured; graph; hadoop; kafka) • Expertise in data analytics and technical development lifecycles including having coached junior staff Desired Qualifications • Advanced STEM (Science, Technology, Engineering, Math) degree (Masters or PhD) • 7+ years of experience; work in financial services is very helpful, with preference to fraud, credit, cybersecurity, or other heavily quantitative areas • Deep understanding of graph databases, graph algorithms, and experience developing graph schemas • Understanding of advanced machine learning methodologies including neural networks, ensemble learning like XGB, and other techniques • Proficient with H2O or similar advanced analytical tools • Experience managing multi-year roadmaps, engaging technical and non-technical stakeholders, and leading large cross-functional formal projects • Experience influencing mid to senior (executive) level leaders • Experience managing risk and issue remediation • Understanding of computer science topics like automation, code versioning, computational complexity, parallel processing, requirements gathering, testing methodologies, and development lifecycle models like Agile Skills: <ul> <li>Agile Practices</li> <li>Application Development</li> <li>DevOps Practices</li> <li>Technical Documentation</li> <li>Written Communications</li> <li>Artificial Intelligence/Machine Learning</li> <li>Business Analytics</li> <li>Data Visualization</li> <li>Presentation Skills</li> <li>Risk Management</li> <li>Adaptability</li> <li>Collaboration</li> <li>Consulting</li> <li>Networking</li> <li>Policies, Procedures, and Guidelines Management</li> </ul> Shift:1st shift (United States of America) Hours Per Week: 40

Data Scientist  II  - Graph Data Platform - Client Protection

Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems. Our <a href="https://www.coinbase.com/mission" target="_blank">work culture</a> is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be. What you’ll be doing (ie. job duties): <ul> <li>Product Vision and Strategy: Define and articulate a clear product vision and strategy for AI initiatives focused on enhancing employee productivity and collaboration. Develop a comprehensive roadmap aligned with overall company objectives.</li> <li>AI Opportunity Discovery: Proactively identify and analyze opportunities to leverage AI to address specific employee pain points, streamline workflows, and improve collaboration across various departments and functions. Conduct user research, market analysis, and competitive assessments to inform product decisions.</li> <li>Technology Assessment and Implementation: Evaluate and recommend third-party AI solutions, platforms, and tools, considering factors such as functionality, scalability, security, and integration capabilities. Oversee the successful implementation and integration of these technologies into our existing systems.</li> <li>Internal AI Product Development: Collaborate closely with our Machine Learning team to define product requirements, prioritize features, and guide the development of custom AI-powered solutions tailored to our unique organizational needs.</li> <li>Cross-Functional Team Leadership: Lead and mentor a dedicated "AI Pod" comprising representatives from IT, HR, and our Machine Learning team. Foster a collaborative, agile, and results-oriented environment to ensure effective communication, stakeholder alignment, and the successful delivery of AI-driven products and initiatives.</li> <li>Stakeholder Communication and Management: Effectively communicate the product vision, strategy, roadmap, and progress to a wide range of stakeholders, including senior leadership, business unit leaders, and end-users. Build strong relationships, manage expectations, and solicit feedback to ensure product success.</li> <li>End-to-End Product Lifecycle Management: Own and manage the complete product lifecycle, from ideation, user research, and requirements gathering to design, development, testing, launch, iteration, and continuous improvement. Employ agile methodologies to deliver high-quality products iteratively.</li> <li>Prioritization and Decision-Making: Make strategic decisions regarding product prioritization, feature selection, resource allocation, and trade-offs, balancing business needs, technical feasibility, and user value.</li> <li>Performance Measurement and Optimization: Define key performance indicators (KPIs) to measure the effectiveness of AI-powered solutions and track their impact on employee productivity, collaboration, and overall business outcomes. Utilize data analytics to identify areas for optimization and drive continuous improvement.</li> <li>Ethical AI and Governance: Ensure that all AI solutions adhere to the highest ethical standards, including fairness, transparency, accountability, and data privacy regulations. Establish governance frameworks and best practices for responsible AI development and deployment.</li> <li>Change Management and Adoption: Develop and execute change management strategies to drive user adoption of new AI tools and workflows. Provide training, communication, and support to ensure a smooth transition and maximize the impact of our AI initiatives.</li> </ul> What we look for in you (ie. job requirements): <ul> <li>Bachelor's degree in Computer Science, Engineering, Business Administration, or a related field. Master's degree preferred.</li> <li>5+ years of experience in product management, with a demonstrated track record of successfully launching and managing technology products in a fast-paced environment.</li> <li>Significant experience working with Artificial Intelligence (AI) and Machine Learning (ML) technologies, with a strong understanding of their applications and limitations.</li> <li>Deep understanding of the AI/ML landscape, including natural language processing (NLP), machine learning, deep learning, and generative AI.</li> <li>Proven ability to lead cross-functional teams and influence stakeholders at all levels of the organization.</li> <li>Exceptional communication, presentation, and interpersonal skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.</li> <li>Strong analytical and problem-solving skills, with a data-driven approach to decision-making and a focus on delivering measurable results.</li> <li>Experience with agile product development methodologies and tools (e.g., Scrum, Kanban).</li> <li>Familiarity with enterprise software, SaaS solutions, and cloud computing platforms (e.g., AWS, Azure, GCP).</li> <li>Strong understanding of user experience (UX) principles and a customer-centric approach to product development.</li> <li>Strong security and compliance understanding.</li> <li>Experience working in a highly regulated environment</li> <li>Experience in a fast-paced, high-growth company</li> </ul> ID: P70738 Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include target bonus + target equity + benefits (including medical, dental, vision and 401(k)). Pay Range: $170,765—$200,900 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. <h3>Commitment to Equal Opportunity</h3> Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Know Your Rights notice <a href="https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRights_10_20.pdf" target="_blank">here</a>. Additionally, Coinbase participates in the <a href="https://static-assets.coinbase.com/e-verify.pdf" target="_blank">E-Verify program</a> in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site <a href="https://chrome.google.com/webstore/detail/chromevox/kgejglhpjiefppelpmljglcjbhoiplfn" target="_blank">click here to download</a> a free compatible screen reader <a href="http://www.chromevox.com/tutorial/" target="_blank">(free step by step tutorial can be found here)</a>. <h3>Global Data Privacy Notice for Job Candidates and Applicants</h3> Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available <a href="https://www.coinbase.com/legal/applicant_privacy_notice" target="_blank">here</a>. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined <a href="https://www.coinbase.com/legal/application-arbitration-agreement" target="_blank">here.</a>

Coinbase

Senior Product Manager, AI Productivity

AI Training for Operations Management and Research

<h1>AI Engineer - LLM Applications Specialist</h1><h2>About the Company:</h2>Great Question is the all-in-one customer research platform loved by teams from Intuit to Amazon, Canva and Figma. We're now looking to bring on an AI Engineer to help us enhance our platform with advanced AI capabilities, creating intelligent research assistants that will revolutionize how our customers conduct research.We're a team of 30+, led by second time founders, who have 3x revenue through 2024, and we're looking to do it again in 2025. This is an opportunity to get in early, work on an exciting AI implementation, have a huge impact on the technology of an early-stage company, and shape the future of AI-assisted customer research.This is a fully remote role open to people in the US or Canada with a strong preference to one of our hubs of Denver/Boulder Colorado, SF Bay Area California, Raleigh North Carolina; or Toronto Canada.<h2>Why join us?</h2>At Great Question, we're building a culture of collaboration, curiosity, and impact.By joining our team, you will:<ul> <li>Work closely with a passionate, mission-driven team</li> <li>Have a direct impact on the growth and success of the company</li> <li>Be at the forefront of implementing practical AI solutions in a SaaS product</li> <li>Shape the direction of our AI strategy and implementation</li> <li>Learn from experienced startup founders (10 years experience, 2 previous exits)</li> <li>Grow with the company - opportunity to specialize deeply in AI engineering or move into technical leadership</li> </ul><h2>Why not join us?</h2>At Great Question, we believe in transparency—not just about our strengths, but also about where we still have room to grow. Here's what you should know before deciding to apply:<ul> <li>Evolving AI Strategy: Our AI implementation is still in its early stages, so expect to help define approaches and best practices</li> <li>Lean Teams, Big Impact: You'll wear multiple hats in the AI development process, from prompt engineering to implementation and evaluation</li> <li>Fast-Paced Growth: We move quickly with high expectations, requiring creativity and comfort with iteration and occasional ambiguity</li> </ul>We're pretty far from perfect, and we don't claim to be. But we'd like to get there. So if you're someone who thrives on solving complex AI problems, enjoys creating intelligent systems from scratch, and loves being part of a dynamic, fast-growing environment, Great Question might be the right place for you.<h2>About the Role:</h2><h3>Role Overview</h3>We are seeking a highly skilled AI Engineer to design and implement an agent-based UI on top of our existing customer research platform. You will be focused on creating an AI research assistant that can help our users create research studies, review documents, and act as an intelligent research companion. The ideal candidate will have expertise in prompt engineering, agent frameworks, and LLM application development with a focus on creating production-ready AI solutions in JavaScript.<h3>Key Responsibilities</h3>AI System Architecture &amp; Development:<ul> <li>Design and build agent-based flows that integrates seamlessly with our existing platform</li> <li>Develop sophisticated prompt templates that effectively interact with our API to create research studies, review documents, and assist in research activities</li> <li>Evaluate and recommend the optimal framework for our use case (LangGraph vs. alternatives)</li> <li>Implement the chosen agentic framework to create a coherent AI agent experience</li> <li>Ensure the AI system can effectively understand user research needs and translate them into actionable research plans</li> </ul>Prompt Engineering &amp; Optimization:<ul> <li>Create robust, reliable prompts that consistently produce high-quality outputs</li> <li>Develop techniques to ensure AI responses remain factual, helpful, and aligned with research best practices</li> <li>Optimize prompts for different use cases within the customer research workflow</li> <li>Document prompt strategies and engineering decisions for knowledge sharing</li> </ul>Framework Selection &amp; Implementation:<ul> <li>Provide expert guidance on the selection of appropriate agentic frameworks (whether LangGraph or alternatives)</li> <li>Explain trade-offs between different frameworks in terms of performance, maintainability, and integration with our JavaScript stack</li> <li>Stay current with the latest advancements in LLM agent frameworks and recommend improvements</li> <li>Implement the chosen framework effectively within our JavaScript environment</li> </ul>Evaluation &amp; Quality Assurance:<ul> <li>Design and implement comprehensive evaluation frameworks to measure AI system performance</li> <li>Create automated tests to ensure consistent AI behavior across different scenarios</li> <li>Develop monitoring systems to track AI system performance and identify areas for improvement</li> <li>Collaborate with the product team to gather user feedback and iterate on AI capabilities</li> </ul>Technical Integration:<ul> <li>Work with our strong frontend resources and app developers to integrate AI capabilities</li> <li>Focus primarily on the prompting strategy and agentic framework rather than frontend implementation</li> <li>Ensure AI features are developed in JavaScript to align with our tech stack</li> <li>Document technical specifications and implementation details for the broader team</li> </ul><h3>Qualifications</h3><ul> <li>Bachelor's degree in Computer Science, AI, or related field</li> <li>5+ years of experience in software development, with at least 1-2 years focused on LLM applications</li> <li>Strong programming skills with experience implementing LLM applications (JS preferred)</li> <li>Demonstrated expertise in prompt engineering and LLM application development</li> <li>In-depth knowledge of various agent frameworks (LangGraph, LangChain, AutoGPT, BabyAGI, etc.) and ability to evaluate their strengths and weaknesses</li> <li>Experience designing, implementing, and evaluating AI systems in production environments</li> <li>Excellent problem-solving skills and attention to detail</li> <li>Strong communication skills and ability to explain complex AI concepts to non-technical stakeholders</li> <li>Experience with evaluation frameworks and testing methodologies for LLM applications</li> </ul><h3>Nice to Have</h3><ul> <li>Knowledge of customer research methodologies and practices</li> <li>Previous work with research or data analysis tools</li> <li>Experience building AI assistants or agents for specific domains</li> <li>Understanding of UX principles for AI interfaces</li> </ul><h2>Support Structure</h2>You'll be working closely with our engineering team who will provide support in:<ul> <li>Strong frontend resources who will handle UI implementation</li> <li>App developers who will assist with platform integration</li> <li>DevOps infrastructure and deployment</li> <li>Web/API programming integration</li> <li>Business domain knowledge and customer research expertise</li> </ul>Your primary focus will be on the AI-specific components: prompt engineering, agentic framework selection and implementation, and ensuring the AI performs effectively for research tasks.<h2>Benefits</h2><ul> <li>Competitive salary</li> <li>Flexible remote work arrangement</li> <li>Opportunity to work on cutting-edge AI applications</li> <li>Potential for long-term relationship based on project success</li> <li>Work with a growing startup making real impact in the customer research space</li> </ul><h2>Hiring Process</h2>We endeavor to deliver a great candidate experience, including notifications of your status in the hiring process throughout.The hiring process includes the following steps and typically happens across 2-3 weeks from first interview:<ol> <li>Initial phone screens for shortlisted candidates</li> <li>Technical Interview with CTO, delving into your AI experience</li> <li>Systems Design Interview</li> <li> Coding Interview</li> <li>Interview with Co-Founder &amp; CEO</li> <li>Reference checks</li> </ol>Note - Each interview is sequential, so you'll only move to the next round if you pass the previous one. After each interview, we'll aim to notify you if you're progressing within 3 days of your interview taking place.<h2>How to Apply</h2>If this sounds like the opportunity you've been waiting for, we'd love to hear from you! Please submit your resume, making sure it's a concise representation of your previous work experience.Where applicable in your resume, please include specific examples of AI systems you've built in JavaScript, with concrete metrics on their performance and impact. We're particularly interested in your experience evaluating and implementing different agentic frameworks.Note, we will only ever contact you over email using a <a href="http://greatquestion.co" target="_blank">greatquestion.co</a> email address.

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