Production Supervisor Jobs

Why us? Insurify is one of America’s fastest-growing MIT FinTech startups and has been recognized as one of Inc. 5,000’s fastest-growing private companies in America in 2025, 2024, 2023, 2022 and 2021, Forbes Fintech 50 List for 2023, 2022, and 2021, Forbes Next Billion Dollar Startups of 2022, and Top 100 InsurTech company. We’re changing the way millions of people compare, buy and manage insurance with artificial intelligence, technology, and superior product design. Our company vision is to be recognized as the preeminent and most trusted digital agent for insurance comparison, purchase, and management. Our team is critical to achieving our vision and fostering the right culture is essential to our team’s success. How you will make an impact Design, train, and iterate on ML models and algorithms that personalize the ranking of results within the product Identify opportunities for applying machine learning, propose experiments, and build models to improve customer conversion and engagement Take ownership of ML solutions end-to-end, from problem formulation and data exploration to model validation and iteration Collaborate with engineers and stakeholders using modern development practices such as version control (Git), code reviews, and reproducible experimentation Partner closely with the Marketing team to develop and improve machine-learning–driven bidding and targeting methodologies What you need to succeed 4+ years of relevant experience Experience building and using machine learning models with clear and measurable business impact Strong skills and hands-on experience in Python (numpy, pandas, sklearn, etc.) and SQL Comfortable working in production-oriented codebases, including using Git for version control An interactive and collaborative approach to delivering ML-powered data products Quick learning ability and a drive well-suited to a fast-paced startup environment Experience clarifying ambiguous business problems and translating them into effective

Responsibilities: Annotate Case Report Form (acrf.pdf) following FDA/CDISC or sponsor guidelines. Develop SDTM specifications and generate SDTM datasets using SAS. Develop ADaM specifications and generate ADaM datasets using SAS based on Statistical Analysis Plan. Develop Tables, Listings, Graphs, Patient Profile in support of the Clinical Study Report, Posters, Manuscripts. Develop ADaM data, Tables, Listings, Figures for Integrated Summary of Safety (ISS) and Integrated Summary of Efficacy (ISE). Create electronic submission package to FDA, e.g., define.xml or define.pdf following FDA guidelines with minimum supervision. Proficient in analyze information and develop innovative solutions to programming and data analysis challenges; Support the point of contact (POC) of programming with statisticians for statistical input and analysis interpretation Follow and reinforce regulatory agency requirements during daily job. Serve as a programming team lead and contribute to department initiative. Provide guidance, mentoring, training for team members and help solve issues from cross-functional teams. Review draft and final production deliverables for project to ensure quality and consistency. Skills and Qualifications: Bachelor’s/Master’s degree in Statistics, Mathematics, Computer Science, Electrical Engineering, Biotechnology or related scientific disciplines. Minimum of 4+ years of clinical programming experience, along with 1+ year of project management and 1+ year of people management experience. Proven knowledge and training in high level computing languages such as. SAS, C/C++, Java, R, Python, MATLAB and SQL. Database programming experience is a plus. Proficient in decoding programming logic and assembling programming code based on logic provided and be able to explain to team members. Proficient in applying concepts in Artificial Intelligence and Machine Learning in the real world. In-depth knowledge of ICH, Good Clinical Practices, Clinical research, Clini

Responsibilities: Annotate Case Report Form (acrf.pdf) following FDA/CDISC or sponsor guidelines. Develop SDTM specifications and generate SDTM datasets using SAS; Develop ADaM,specifications and generate ADaM datasets using SAS based on Statistical Analysis Plan; Develop Tables, Listings, Graphs, Patient Profile in support of the Clinical Study Report, Posters, Manuscripts; Develop ADaM data, Tables, Listings, Figures for Integrated Summary of Safety (ISS) and Integrated Summary of Efficacy (ISE) Create electronic submission packages to FDA, e.g., define.xml or define.pdf following FDA guidelines with no supervision. Expert-level in analyze information and develop innovative solutions to programming and data analysis challenges; Serve as point of contact (POC) of programming with statisticians for statistical input and analysis interpretation; Follow and reinforce regulatory agency requirements during daily job. Serve as a programming team lead and contribute to department initiatives. Provide guidance, mentoring, training for team members and help solve issues from cross-functional teams; Review draft and final production deliverables for project to ensure quality and consistency. Work with global team or sponsors to coordinate project deliverables, timelines and resources. Skills and Responsibilities: Bachelor’s/Master’s degree in Statistics, Mathematics, Computer Science, Electrical Engineering, Biotechnology or related scientific disciplines with 5+years of clinical programming experience. Proven knowledge and training in high level computing languages such as. SAS, C/C++, Java, R, Python, MATLAB and SQL. Database programming experience is a plus. Expert-level in decoding programming logic and assembling programming code based on logic provided and be able to explain to team members. Expert level in applying concept in Artificial Intelligence and Machine Learning in real world. In-depth knowledge of ICH, Good Clinical Practices, Clinical research, Clinical tria

Why us? Insurify is one of the America’s fastest-growing MIT FinTech startups and has been recognized as one of Inc. 5,000’s fastest-growing private companies in America of 2023, 2022 and 2021, Forbes Fintech 50 List for 2023, 22, 21, Forbes Next Billion Dollar Startups of 2022 global and Top 100 InsurTech company. We’re a profitable company, that's changing the way millions of people compare, buy and manage insurance with artificial intelligence, technology, and superior product design. We are proud to be the largest online insurance distribution and comparison platform in the USA. Our company vision is to be recognized as the preeminent and most trusted digital agent for insurance comparison, purchase, and management. Our team is critical to achieving our vision and fostering the right culture is essential to our team’s success. How you will make an impact Work with our product team to architect and develop new features Optimize existing features using modern development techniques to improve speed and reliability Write comprehensive test suites that fortify our codebase Deploy to production often What you need to succeed 4+ years of experience building back ends applications using a modern web framework (we use Python + Django, Node.js) Experience analyzing code performance to identify optimization opportunities Experience writing unit and integration tests Experience with SQL and NoSQL DBs (we use MySQL, Redis, DynamoDB, Redshift) Fluent spoken and written use of English language It would be considered a plus: Experience with Apache Airflow or other task workflow systems Experience with data pipelines Infrastructure as Code and familiarity with AWS Frontend experience (we use React) Benefits 25 days annual leave Enhanced private medical, dental and vision insurance plans Yearly wellbeing budget or Multisport card Personal budget for learning and books Employee Assistance Program and other wellbeing

The following description is not intended as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. Management retains the discretion of adding or changing the duties of the position at any time. The Test Engineer is responsible for conducting performance, safety, and functional testing of battery products to ensure compliance with company and industry standards. This role involves test planning, data collection, analysis, and reporting, as well as identifying and resolving product or process issues during testing. JOB DESCRIPTION • Perform static, safety, functional, and fire protection tests on battery products, including liquid injection operations. • Conduct dynamic performance testing to verify battery reliability and compliance with technical standards. • Record, analyze, and interpret test data; prepare and submit detailed test reports. • Apply knowledge of electrical and electronic circuits, component selection, and electrical safety standards. • Troubleshoot and resolve testing-related issues using strong analytical and hands-on problem-solving skills. • Follow established testing procedures and ensure all test results are accurate, traceable, and compliant with specifications. • Report any anomalies or failures immediately to the responsible engineer or supervisor and assist in corrective actions. • Maintain and calibrate testing instruments; ensure testing areas are clean, organized, and compliant with safety requirements. • Support continuous improvement in testing methods and product quality through feedback and data-driven insights. • Apply basic quality management principles and contribute to product reliability enhancement. COMPETENCIES • Technical Proficiency: Strong understanding of battery testing procedures, electrical systems, and safety protocols. • &nbs

Why us? Insurify is one of the America’s fastest-growing MIT FinTech startups and has been recognized as one of Inc. 5,000’s fastest-growing private companies in America in 2025, 2024, 2023, 2022 and 2021, Forbes Fintech 50 List for 2023, 2022, and 2021, Forbes Next Billion Dollar Startups of 2022 global and Top 100 InsurTech company. We’re changing the way millions of people compare, buy and manage insurance with artificial intelligence, technology, and superior product design. Our company vision is to be recognized as the preeminent and most trusted digital agent for insurance comparison, purchase, and management. Our team is critical to achieving our vision and fostering the right culture is essential to our team’s success. How you will make an impact Work with our product team to architect and develop new features Optimize existing features using modern development techniques to improve speed and reliability Write comprehensive test suites that fortify our codebase Deploy to production often What you need to succeed 5+ years of experience of building frontend applications using a contemporary web framework (like React) Knowledge of JavaScript/TypeScript (we use React, NodeJS, Gatsby) Understanding of modern CSS techniques or willingness to learn Good knowledge of http(s) protocol Experience in analyzing code performance to identify optimization opportunities Experience in writing unit and integration tests Familiarity with Infrastructure as Code, AWS, and Python are a plus Fluency in English (both writing and speaking) Benefits Employee stock options 25 days annual leave Enhanced private medical, dental and vision insurance plans Yearly wellbeing budget or Multisport card Personal budget for learning and books Employee Assistance Program and other wellbeing perks Office kitchen and fun area with snacks and beverages Regular social events Friendly office culture Hybrid office We are proud to be an Equal Employment Opportunity and Affirm

ROLE/RESPONSIBILTIES: We are seeking a quant research intern to join an NLP quant team within Point72. We believe the significant advances in NLP methods show promise for finance. We develop and launch end-to-end signals, from data processing to performance testing. The ideal candidate will have strong machine learning, data science and software engineering skills, some experience with modern NLP, and a curiosity about finance and trading. Responsibilities may include: Using NLP to construct features from varied datasets Formulating research hypotheses to derive alpha Building and testing the performance of trading signals based on NLP and financial features Launching identified signals into production REQUIREMENTS: Bachelor’s, Master’s or PhD candidate in computer science or other quantitative discipline Proficient in Python and general software engineering principles (github, testing, dev workflow) Strong understanding of machine learning and statistics Prior research experience preferred Experience with deep learning, specifically NLP (PyTorch, HuggingFace, LLMs, etc.) preferred Data science stack familiarity preferred An interest in financial markets Great attitude A collaborative mindset Commitment to the highest ethical standards ABOUT POINT72: Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.

Role/Responsibilities: We are seeking a quantitative researcher to join an NLP quant team within Point72. We believe the significant advances in NLP methods show promise for finance. We develop and launch end-to-end signals, from data processing to performance testing. The ideal candidate will have strong machine learning, data science and software engineering skills, some experience with modern NLP, and a curiosity about finance and trading. Responsibilities may include: Using NLP to construct features from varied datasets Formulating research hypotheses to derive alpha Building and testing the performance of trading signals based on NLP and financial features Launching identified signals into production Requirements: Bachelor’s, Master’s or PhD degree in computer science or other quantitative discipline Proficient in Python and general software engineering principles (github, testing, dev workflow) Strong understanding of machine learning and statistics Prior research experience preferred Experience with deep learning, specifically NLP (PyTorch, HuggingFace, LLMs, etc.) preferred Data science stack familiarity preferred An interest in financial markets Great attitude A collaborative mindset Commitment to the highest ethical standards About Point72: Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit www.Point72.com/working-here.

Data Science & Engineering Lead Lead the charge in AI and data innovation as our Data Science & Engineering Lead . Here, you’ll work hands-on with our talented team to build and deploy high-impact ML models, optimize our data systems, and drive actionable insights. If you’re skilled in advanced AI tools like Databricks, Spark, and Azure, and excited to push boundaries in machine learning and engineering, we want you on our team. Join us for meaningful work, a collaborative culture, and competitive benefits. In This Role, You Will: Design and implement supervised and unsupervised ML models (e.g., OLS, Logistic Regression, Ensemble Methods) to solve real-world business problems. Lead model development for advanced architectures in neural networks, such as ANN, CNN, RNN, GAN, Transformers, and RESNet. Drive NLP advancements with tools like NLTK and neural-based language models. Oversee the development of computer vision models, utilizing OpenCV for real-world applications. Lead time-series modeling projects for forecasting and anomaly detection. Utilize AI techniques like Retrieval-Augmented Generation (RAG), Chain of Thought (CoT), and Model of Alignment (MOA) to enhance model performance. Build and maintain scalable data pipelines for both streaming and batch processing. Architect and optimize lakehouse solutions using Delta/Iceberg and bronze-silver-gold architectures. Lead the development of ETL processes with tools like Airflow, DBT, and Airbyte to support data flow and transformation. Design and optimize database models for OLTP and OLAP systems using Snowflake, SQL Server, PostgreSQL, and MySQL. Develop NoSQL solutions, leveraging MongoDB, DynamoDB, and ElasticSearch for unstructured data. Lead efforts in building cloud infrastructure, particularly in AWS (preferred) or Azure, using services such as Lambda, API Gateway, Batch processing, Kinesis, and Kafka. Oversee MLOps pipelines for robust deployment of ML models in production with platforms like Sagem

Become a part of our caring community The Group Sales Representative works with brokers, agents and consultants as an Ancillary Group insurance product expert. Will work with new and existing accounts with 50+ eligible employees. The Group Sales Representative discovers, develops, and maintains benefits brokerage relationships that result in the ongoing sales and retention of Humana's Group benefit products for distribution in a specific region. The Group Sales Representative will be held accountable for the achievement of production through tenacious broker development. Brokers should view them as the benefits experts for all products that the executive will sell in the given territory. You will deliver organized, polished presentations of solutions, with benefits tied to the employer's business needs. Will develop and execute a comprehensive strategic plan that results in increased sales and maximized profitability by maintaining and expanding penetration of existing products and cross selling other Humana products. Job Responsibilities Develops new business opportunities and implements strategies necessary to attain sales objectives through consultative selling, issue resolution and superior service. Manages complex negotiations. Positions products, rate levels, and expanded product portfolios to increase sales and maximize revenue. Develop and maintain multiple benefits brokerage and consultant relationships within assigned territory. Collaborates with internal partners and/or external constituents to uncover profitable growth and cross-sell opportunities within new or existing customers and to support post-sale activities. Coordinates finalist presentations and sales seminars, testimonials and works with subject matter expert in support of the successful delivery of constituent presentat

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: As a Data Center Fiber Technician at SpaceXSI's data center, you’ll dive into the world of fiber optic systems, applying your core skills and eagerness to grow in a high-growth tech environment. Working onsite with passionate teams, you’ll tackle hands-on challenges to install and maintain critical network infrastructure, ensuring seamless connectivity. Expect to collaborate closely, refine your expertise, and keep our systems running smoothly to support SpaceXSI's mission of accelerating human scientific discovery through AI. RESPONSIBILITIES: Under the guidance of the Foreman Supervisor, Project Manager, and Superintendent manage all phases of data center installation projects Ensure a safe and productive work environment Develop sensor indicators and conduct timely inspections, so that a faulty fiber optic system does not destabilize its performance Troubleshoot, resolve, repair and install fiber optics systems, ensuring that they work properly Examine and replace faulty and/or old fiber optic cables Organize scheduled maintenance routines Take care of fiber splicing and rectify fiber optic problem areas Keep track of the signal strength of different devices F

ABOUT TOPGOLF Topgolf is a sports entertainment company that has changed how millions of people experience golf and where you can build a serious career. Our venues are high-energy, high-volume environments where performance matters and results are visible. Every day, we bring together golf, food and beverages, events, and entertainment into one experience that keeps guests coming back. WHAT WE’RE SEEKING Do you hold the line on quality even when it is busy? Can you lead a kitchen team through a high-volume service and still have the team better when the shift ends than when it started? We are looking for a Culinary Manager who leads from the front. Someone who understands food cost and portion control, coaches their team through the work, and takes genuine ownership of the kitchen's performance. Consistency is not lucky. It is what happens when a leader pays attention. If you run a tight, proud kitchen, this is where those matter. WHAT YOU WILL DO Lead Kitchen Operations • Supervise the kitchen team in delivering best-in-class culinary experiences every shift • Coach and develop Team members and drive engagement across the kitchen • Delegate tasks effectively and follow up to ensure completion and quality • Manage day-to-day line operations or events execution as assigned Maintain Culinary Standards • Select and develop recipes to corporate approval and standardize production for consistent quality • Establish and maintain presentation techniques and quality standards • Plan and cost menus for special events and chef-choice occasions • Ensure proper equipment operation, maintenance, and cleanliness Manage Costs and Inventory • Monitor inventory levels and purchase product within budgetary guidelines • Maintain food and labor

About Ema Ema builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboarding and benefits to IT support, invoice processing and payroll, so people can spend their time on work that needs them. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Creaegis, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production. We ship real systems that run real business processes at scale. Build agents that learn from the work they do. Ema builds AI employees that carry out complex workflows across enterprise applications. Our ML team works on the loop that makes them better: production traces become data, data becomes training and evaluation, and better agents produce better traces. The hard part is deciding which intervention will improve behavior in the next real workflow. The problem space Harnesses and inference-time compute. Design context, tools, skills and orchestration for multi-step agents, including work across documents, slides, images, audio and video. Test where extra reasoning, search or verification earns its latency and cost. Build self-improvement loops with explicit permissions, evaluation gates and rollback. Agent post-training. Curate trajectories for SFT, optimize preferences, or run RL on real agent tasks. Investigate methods such as DPO, GRPO or DAPO where they fit; compare process and outcome supervision, shape rewards, and distill useful frontier behavior into smaller models. Measure whether gains transfer beyond the training environment. Environments and rewards. Turn enterprise workflows into reproducible training

About Ema Ema builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboarding and benefits to IT support, invoice processing and payroll, so people can spend their time on work that needs them. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Creaegis, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production. We ship real systems that run real business processes at scale. Build agents that learn from the work they do. Ema builds AI employees that carry out complex workflows across enterprise applications. Our ML team works on the loop that makes them better: production traces become data, data becomes training and evaluation, and better agents produce better traces. The hard part is deciding which intervention will improve behavior in the next real workflow. The problem space Harnesses and inference-time compute. Design context, tools, skills and orchestration for multi-step agents, including work across documents, slides, images, audio and video. Test where extra reasoning, search or verification earns its latency and cost. Build self-improvement loops with explicit permissions, evaluation gates and rollback. Agent post-training. Curate trajectories for SFT, optimize preferences, or run RL on real agent tasks. Investigate methods such as DPO, GRPO or DAPO where they fit; compare process and outcome supervision, shape rewards, and distill useful frontier behavior into smaller models. Measure whether gains transfer beyond the training environment. Environments and rewards. Turn enterprise workflows into reproducible training

ABOUT TOPGOLF Topgolf is a sports entertainment company that has changed how millions of people experience golf and where you can build a serious career. Our venues are high-energy, high-volume environments where performance matters and results are visible. Every day, we bring together golf, food and beverages, events, and entertainment into one experience that keeps guests coming back. WHAT WE’RE SEEKING Do you hold the line on quality even when it is busy? Can you lead a kitchen team through a high-volume service and still have the team better when the shift ends than when it started? We are looking for a Culinary Manager who leads from the front. Someone who understands food cost and portion control, coaches their team through the work, and takes genuine ownership of the kitchen's performance. Consistency is not lucky. It is what happens when a leader pays attention. If you run a tight, proud kitchen, this is where those matter. WHAT YOU WILL DO Lead Kitchen Operations • Supervise the kitchen team in delivering best-in-class culinary experiences every shift • Coach and develop Team members and drive engagement across the kitchen • Delegate tasks effectively and follow up to ensure completion and quality • Manage day-to-day line operations or events execution as assigned Maintain Culinary Standards • Select and develop recipes to corporate approval and standardize production for consistent quality • Establish and maintain presentation techniques and quality standards • Plan and cost menus for special events and chef-choice occasions • Ensure proper equipment operation, maintenance, and cleanliness Manage Costs and Inventory • Monitor inventory levels and purchase product within budgetary guidelines • Maintain food and labor costs according to bu