Li-Cycle

Manager

• Serve as the primary analyst on a range of quantitative and qualitative research projects
• Manage full execution of projects that address major business questions for Fortune 500 clients across industries
• Act as a key client communicator and work alongside research team members to ensure objectives are achieved and insights-driven output is delivered
• Perform tasks and responsibilities with thoroughness to produce high-quality, high-accuracy market research deliverables
• Load, test, and proofread all research surveys and content on staging before posting live to production
• Assure data accuracy and relevance to objectives at every step in the project process
• Design and program research instruments utilizing multiple methodologies (qualitative and quantitative within the community)
• Learn and become an expert user of the Fuel Cycle Research Engine platform to execute research projects
• Efficiently manage time to coordinate and execute project components for multiple projects
• Prioritize tasks, communicate effectively, and remain flexible to meet client needs
• Ensure all project components are executed within scope and timelines, collaborating with cross-functional teams (community management, programming and data processing, Customer Experience)
• Assist with daily moderation of research activities in the communities and extract insights; oversee data collection and ensure quotas and data quality
• Assist in mentoring and training more junior team members while remaining an independent contributor
• Analyze data and develop insightful results or story that addresses business objectives in a clear, concise, visually appealing format

Research Manager

• Serve as primary analyst on quantitative and qualitative research projects for Fortune 500 clients
• Manage full execution of research projects and ensure research and business objectives are achieved
• Communicate with clients and act as key client contact
• Load, test, and proofread research surveys and content before production
• Assure data accuracy and relevance throughout project process
• Design and program research instruments using multiple methodologies within the community
• Use the Fuel Cycle Research Engine platform to execute research projects
• Coordinate and execute project components for multiple projects, prioritize tasks, and meet client needs
• Ensure projects are executed within scope and timelines and collaborate with cross-functional teams
• Assist with daily moderation of research activities, oversee data collection, and ensure quotas and data quality
• Assist in mentoring and training more junior team members
• Analyze data and develop insightful results or “story” addressing business objectives in clear, visually appealing formats

Backend Engineer

• About Fuel Cycle: Fuel Cycle empowers leading organizations with agile research solutions that deliver decision-ready insights — fast, flexible, and fully integrated. As a market research disruptor, our AI-powered Insights Platform is built for speed, precision, and scale. With cutting-edge tools and seamless audience connectivity, we help brands ditch the guesswork and make smarter, customer-led decisions at lightning speed.
• Why work at Fuel Cycle?: Join a high-growth team where curiosity is valued, ownership is encouraged, and your work drives real-world impact. Whether you’re based at our Los Angeles HQ, New York City hub, working remotely across the U.S., or part of our global team in India, you’ll help shape the future of decision intelligence for some of the world’s most iconic brands.
• Overview: We are seeking an experienced Senior AI/Python Engineer with deep expertise in modern web frameworks and data processing libraries. The ideal candidate will have hands-on experience with FastAPI and/or Flask for building robust web services, Streamlit for rapid application prototyping, and SQLAlchemy with PostgreSQL for data management. Additionally, you should be familiar with Pandas for data manipulation and have exposure to leveraging Large Language Models (LLMs) through Langchain. Experience with Docker and the AWS ecosystem is essential for deploying scalable applications in a cloud environment.
• This position follows a hybrid work model and is based out of our Los Angeles HQ, with an on-site presence required 3 days/week.
• Key Responsibilities: Develop & Maintain Applications: Design, build, and maintain high-performance, scalable AI subsystems and applications using Python, leveraging frameworks such as FastAPI, and Streamlit.
• Data Management & Processing: Use SQLAlchemy with PostgreSQL for efficient data handling and integrate Pandas for data analysis and transformation.
• LLM Integration: Work with large language models (LLMs) via Langchain to build and deploy AI-driven features and applications.
• DevOps & Cloud Deployment: Containerize applications using Docker and deploy them on AWS, ensuring high availability, scalability, and security.
• Collaborative Development: Collaborate with data scientists, AI researchers, product managers, and other engineers to understand requirements, design solutions, and deliver high-quality products.
• Code Quality & Best Practices: Ensure adherence to industry best practices, code quality standards, testing, and documentation throughout the development lifecycle.
• Innovation & Continuous Improvement: Stay current with emerging technologies, frameworks, and methodologies to continually enhance our AI capabilities.
• Your Success Metrics: Deliver high-quality, scalable, and well-documented Python applications within project deadlines.
• Ensure seamless integration of LLMs and AI capabilities to enhance product features.
• Optimize database performance and ensure data integrity with SQLAlchemy and PostgreSQL.
• Successfully deploy and maintain applications in the AWS cloud environment.
• Contribute to code reviews, knowledge sharing, and mentorship within the team.
• Who you’ll work with?: Engineering; Product
• Core Skills, Competencies & Attributes: Technical Excellence: Strong expertise in Python, FastAPI/Flask, Streamlit, pandas, numpy, Vector Stores and AI/ML frameworks.
• Problem-Solving: Ability to troubleshoot, debug, and optimize code for performance.
• Collaboration & Communication: Work effectively with cross-functional teams across different time zones.
• Adaptability & Continuous Learning: Stay updated with the latest advancements in AI, cloud computing, and data engineering.
• Ownership & Accountability: Take initiative and responsibility for the success of the projects.
• What you’ll bring: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Minimum 5 years of professional experience in Python development.
• Minimum 2-3 years of experience with FastAPI or Flask for building RESTful APIs (demonstratable project work).
• Minimum 2-3 years of experience with Docker and deployment in the AWS ecosystem (demonstratable project work).
• Experience in developing interactive applications using Streamlit.
• Strong knowledge of SQLAlchemy and PostgreSQL/MySQL for relational database management.
• Proficiency with Pandas for data processing and analysis.
• Demonstrated experience with LLMs and familiarity with Langchain framework for AI applications.
• Excellent problem-solving skills and the ability to work in a collaborative team environment.
• Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• Preferred, but Not Required: Experience with CI/CD pipelines and automated testing frameworks.
• Familiarity with microservices architecture and serverless computing on AWS.
• Prior experience in an AI-driven product environment or in building AI applications.
• Exposure to additional data science tools or libraries is a plus.
• Benefits & Perks: Fuel Cycle is committed to supporting the well-being, flexibility, and growth of our team. We offer a competitive and inclusive benefits package that includes:
• Comprehensive Health Coverage
• 401(k) with Company Match
• Equity Purchase Option
• Flexible Work Schedule
• Generous Time Off
• Paid Parental Leave
• Monthly Internet & Phone Stipend
• Wellness & Lifestyle Perks
• Team Connection Perks
• Compensation Overview: The expected starting salary range for this position is $150,000 - $180,000.
• These components make up your total compensation package, which will be reviewed in greater detail during your initial recruiter conversation.

Senior AI/Python Engineer

Sales Development Rep

• About Fuel Cycle: AI-powered insights platform and market research disruptor delivering decision-ready insights
• Why work at Fuel Cycle: High-growth team, curiosity valued, ownership encouraged, offices in LA and NYC and remote options across the U.S. and global team in India
• Overview: Hire an AI-native Sales Development Representative to drive outbound pipeline using Fuel Cycle’s AI SDR (“Alice”) and multi-channel prospecting
• Location: Hybrid role based out of New York City office with on-site presence required 3 days/week
• Key Responsibilities — AI-Driven Sales Orchestration (40%): Steer and refine Alice’s outbound campaigns, monitor workflows, apply human intervention, enhance templates and objection-handling
• Key Responsibilities — Strategic Prospecting and Pipeline Generation (40%): Book discovery meetings via cold calling, email, LinkedIn, use Sales Navigator/6Sense/Dripify, collaborate with Enterprise Sales Directors on co-owned accounts
• Key Responsibilities — Process Optimization and CRM Discipline (20%): Maintain detailed activity records in Salesforce, ensure data hygiene, analyze CRM data and track campaign effectiveness
• Success Metrics: Monthly quotas for discovery meetings and demos (5 discovery meetings, 3 demos), conduct 50+ outbound calls/day
• Collaboration: Work closely with Enterprise Sales Directors, Sales Ops, and Marketing to implement prospect communications and outreach strategies

Sales Development Strategist, AI-Enabled

Sales

• Fuel Cycle empowers organizations with AI-powered market research and insights platform
• Build sales pipeline and drive new business revenue across regional territory
• Own full sales cycle from lead generation through close
• Hybrid role based in New York City office requiring on-site presence 3 days/week
• Develop executive-level relationships and execute account-based strategies
• Collaborate with Marketing, Business Development, and Product teams to influence roadmap
• Deliver tailored proposals, ROI analyses, and persuasive pitch decks
• Use Salesforce for pipeline management, forecasting, and tracking account activity

Enterprise Sales Director

• Build sales pipeline and drive new business revenue across regional territory
• Own full sales cycle from discovery through close, delivering tailored proposals and ROI analyses
• Identify and pursue new business opportunities through outbound prospecting, events, and partner engagement
• Maintain disciplined pipeline hygiene with accurate forecasting and reporting
• Develop account-based strategies to penetrate high-value enterprise targets and expand influence
• Build and sustain executive-level relationships with C-suite and senior decision-makers
• Collaborate cross-functionally with Marketing, Business Development, and Product teams to influence roadmap
• Consistently achieve quarterly and annual revenue targets and monitor post-sales churn
• Hybrid role based at Los Angeles HQ with on-site presence required 3 days/week

• Fuel Cycle empowers leading organizations with agile research solutions and an AI-powered Insights Platform
• AI-native Sales Development Representative tasked with driving outbound pipeline growth using Fuel Cycle’s AI SDR “Alice” alongside multi-channel prospecting
• Hybrid role based in Los Angeles HQ requiring on-site presence 3 days/week
• Key responsibilities: manage AI-driven sales orchestration, strategic prospecting and pipeline generation, process optimization and CRM discipline
• Success metrics: monthly quotas—5 discovery meetings, 3 demo meetings, conduct 50+ outbound calls/day
• Collaborate with Enterprise Sales Directors, Sales Ops, and Marketing to implement prospect communications and outreach strategies