<div><span style="text-decoration:underline;"><strong>Join us on the journey to get to net zero</strong></span></div><div> </div><div>At Carbon Direct, we dedicate our scientific, software, and business expertise to empower organizations around the world to take climate action.</div><div> </div><div><strong>Our Mission</strong></div><div>Enable organizations to reduce, remove, and utilize their emissions with carbon science</div><div>We are a purpose-driven carbon management firm dedicated to helping organizations around the world reach their climate goals. We make carbon science accessible and actionable with our end-to-end platform.</div><div> </div><div><strong>Global citizens with global impact</strong></div><div>Whether a scientist, developer, or carbon markets expert, we are united by our mission to take climate action now. We are experts in our fields and we act with confidence. Located across 4 countries and 10+ states in the U.S., we offer both remote-friendly work options and dynamic, in-person experiences with offices located in Seattle, WA and Oakland, CA.</div><div> </div><div><strong>Diverse backgrounds bring diverse perspectives</strong></div><div>We recognize that teams with diverse backgrounds and different experiences are powerful. Bringing together a variety of perspectives only enhances how we can effectively address the climate crisis. Together, we are creating an environment where everyone is celebrated and anyone can succeed.</div><p><strong>Overview </strong></p><p>As the Director of Data Science at Carbon Direct, your role is at the heart of technological innovation in carbon management. Leading the integration of cutting-edge data science, machine learning, and AI into our products, you will drive advancements in decarbonization. Your expertise will not only enhance our capabilities but also open new avenues for impactful carbon management solutions.  Your role is pivotal in merging top-tier information technology with groundbreaking concepts. Collaborating with our leading science team, you will play a key role in developing digital technologies that are at the forefront of decarbonization possibilities, delivering tools that are both powerful and user-friendly.</p><p><strong>Responsibilities </strong></p><ul><li>Lead the Platform Data Team, expanding platform capabilities by leveraging Data Science, Machine Learning, and AI to provide innovative decarbonization solutions.</li><li>Partner with members of the Carbon Data Science team to develop, integrate, and deploy cutting-edge scientific models into our decarbonization platform.</li><li>Drive the platform data science life cycle, enhancing our product offering, and enabling our clients to decarbonize effectively and efficiently.</li><li>Lead data engineering efforts and implement data operations processes, championing data quality, consistency, accessibility, and usability.</li><li>Draw from your experience to make timely and effective technical decisions for tools and solutions (e.g., build vs. buy). </li><li>Lead cross-functional data projects, raising the visibility of impacts, keeping contributors aligned, and effectively communicating statuses with stakeholders.</li></ul><p><strong>Qualifications</strong> </p><ul><li>Extensive data science experience.</li><ul><li>Ideally, has experience applying a wide range of math modeling, ML concepts, and AI algorithms to solving business problems.</li><li>Embodies thought leadership, leveraging data science methodologies to pioneer groundbreaking solutions via software.</li></ul><li>Experience leading and managing cross-functional data science projects.</li><li>Experience working with software development teams. </li><li>Proficiency in Python and R; familiar with ML libraries (e.g. pandas, TensorFlow…)</li><li>Knowledge of cloud computing platforms like AWS, Azure, or Google Cloud.</li><li>Familiarity with big data technologies (e.g., BigQuery, Hadoop, Spark) and data storage and retrieval paradigms.</li><li>Comfortable managing hybrid-remote, multidisciplinary teams staffed by data analysts, data scientists, and/or data engineers. </li><li>Excellent communication skills and the ability to translate advanced concepts into terms that non-technical or non-expert stakeholders can readily understand. </li><li>Background in climate and carbon management is a plus.</li><li>Experience with data governance projects is a plus.</li></ul><div><p><strong>Salary</strong></p><p>$170,000-$230,000</p><div><strong>Benefits</strong></div><div>While we love our work, our lives aren’t defined by it. At Carbon Direct, we offer a robust benefits package that considers the whole person, their partners, and their families – and we’re always looking to improve.</div><div> </div><div><strong>Our U.S. benefits* include:</strong></div><div><ul><li>Comprehensive nationwide medical, dental, and vision coverage. <a href="https://app.rippling.com/benefits/preview/v4awgaedwor7yqpb">See a preview of our coverage here</a>.</li><li>Time off as needed: Flexible vacation policy and ten company-wide holidays, plus annual winter break between Christmas and New Year's</li><li>16 weeks of fully paid parental and family leave with no tenure requirement</li><li>Remote-friendly work culture with annual company-wide retreats</li><li>Reimbursement for your work-from-home setup and monthly work-from-home stipend</li></ul></div><div><em>*Please note that the benefits described apply to <a href="http://u.s.-based/">U.S.-based</a> employees only. For our international employees, our benefits package varies by each country and its statutory requirements.</em></div></div><div> </div><div><strong>Equal Opportunity Employer</strong></div><div>Carbon Direct is an equal opportunity employer and does not discriminate on the basis of race, color, gender, religion, age, sexual orientation, national or ethnic origin, disability, marital status, veteran status, or any other occupationally irrelevant criteria. We adhere rigorously to our equal employment opportunity policies in connection with all employment decisions, including hiring, compensation and promotion.</div>

Carbon Direct is decarbonizing the global economy. 

Director of Data Science

<div><span style="font-size:24px;">About Insight M</span></div><div><br></div><div>At Insight M, we combine innovative aerospace systems with advanced data science. Unlike traditional aerospace companies, we sell information, not hardware - we operate our sensors cost-effectively at continental scale to produce novel data streams about pressing global problems.</div><div> </div><div>First on our list: <a href="https://www.sciencemag.org/news/2018/06/natural-gas-could-warm-planet-much-coal-short-term">spotting hard-to-monitor emissions of methane</a>, a potent greenhouse gas that accelerates climate change. Since starting continuous survey operations in 2018, Insight M has removed methane emissions equal to over 72.6 million tonnes of CO2e through our work. To put that in perspective, that’s equivalent to over 15.8 million cars being removed from the roads or shutting down about forty-seven 350 MW coal-fired power plants for a year.</div><div> </div><div>We call that a good start.</div><div> </div><div>As a team, we love science and engineering, we love getting our hands dirty with hardware and software, and we love seeing our work make a difference in the real world.</div><div> </div><div>We’ve created a diverse, collaborative, supportive, and fun environment based on integrity and treating people right. So no matter your sex, gender, sexual identity, gender identity, race, age, beliefs, sexual orientation, or disabilities, we welcome you and would like to work with you. :-)</div><div> </div><div>It’s never boring, it’s always challenging, and we’re usually laughing.</div><div><br></div><div>A note of encouragement: If you don't meet 100% of the qualifications below, you should still seriously consider applying. Studies show that you can still be considered for a role if you meet just 50% of the role's requirements.</div><div><br></div><div>If you would like interview accommodations, please contact [interview.accommodations@insightm.com] to request assistance with your application or accommodations in advance of your interview. </div><div><br></div><div><span style="font-size:24px;">General Opportunity</span></div><div><br></div><div>Although we may not have a current open position that matches your skill set, we are a growing company with lots of future employment opportunities. If Insight M has piqued your interest, please send us your resume and fill out our application questions.</div><br><br><h3>The typical roles we hire for include:</h3><ul><li>Software Engineers (FE, BE, Full-stack, Design, GIS, Data-focused, Build)</li><li>QA</li><li>Hardware Engineers</li><li>Hardware Technicians</li><li>Flight Systems Software Engineers</li><li>Senior Scientists </li><li>Data Scientists</li><li>Sensor Scientists and Engineers </li><li>Customer Success Managers</li><li>Flight Operations Support Managers</li><li>Operations Engineers</li><li>Data Analysts</li><li>GIS Analysts</li><li>ESG Analysts</li><div><br></div><div>Our stack: Python, SQLAlchemy, a little Bash, JavaScript/React, AWS (S3, EC2), PostGIS. The infrastructure and cloud orchestration pipeline uses Terraform, Apache Airflow, and Astronomer. We use Data Factory for data integration/transformation. In terms of DevOps, we do infrastructure as code. CI/CD: Ansible, CircleCI, Github, Artifactory, and various pieces in AWS.</div></ul><h3>These are the typical qualities we look for in a team member:</h3><ul><li>Positivity and the ability to work with a diverse team</li><li>Open, inquisitive, and collaborative mindset</li><li>Comfort in a start-up culture where you need to move quickly and be comfortable with pivots</li><li>Ability to figure out and produce expertise on your own; ability and interest in quickly learning new tasks</li><li>Conscientious and detail-oriented perspective</li><li>Excellent communication and relationship skills</li><li>Creative problem solving</li></ul><br><div><span style="font-size:24px;">Life at Insight M</span></div><div><br></div><div>A few important facts about working at Insight M:</div><div> </div><div>- We provide health, dental, and vision insurance, including subsidized coverage for dependents. Our 401K plan provides a 50% employer match on employee contributions up to 8%.</div><div> </div><div>- We think death-march hours are a bad way to run a company. We expect something approximating a 40-hour workweek, but mostly we just care that your work gets done. No, really. (Full disclosure: we occasionally put in some extra hours during crunch periods, but that is the exception, not the norm).</div><div> </div><div>- We do not track vacation time, nor do we have set hours to be in the office. Instead, we encourage taking real vacations, mental health days, leaving early to pick up the kids, working from home, time-shifting commutes, staying home when you're sick, ducking out to the gym - we believe work time should be flexible.</div><div> </div><div>During the pandemic we transitioned to 100% remote work aside from hardware, flight operations, operations engineers, or any role that specifically states it is in the office. For most positions, we plan to continue having remote opportunities in perpetuity.</div><div> </div><div>(We love it when kids make a cameo in a video call.)</div><div><br></div><div>Insight M is an equal-opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. </div><div><br></div><div>This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Insight M makes hiring decisions based solely on qualifications, merit, and business needs at the time.</div>

Revolutionizing energy data collection and utilization by transforming raw information into valuable data products for businesses.

General Opportunity

<div><span style="font-size:16px;">The Data team leverages data from our autonomous vehicles and operations to determine autonomy and service readiness. We provide the foundation for strategic decision-making at Zoox. You will develop and implement the next generation of our data pipeline to ensure visibility into our business as we scale toward the launch of an autonomous mobility service. You will define the system and build the pipeline to enable Zoox to develop and scale with a data-first culture.</span></div><div><br></div><div><span style="font-size:16px;">You will join a diverse, experienced team with rapidly growing scope and responsibility while also having access to one of the most unique data sets in the autonomous vehicle industry. Hence, we are seeking all skill levels to grow with the team.</span></div><br><br><h3>In this role, you will:</h3><ul><li>Coach, mentor and grow the data platform team</li><li>Collaborate closely with data scientists, cross functional teams and stakeholders to support their data needs</li><li>Help develop the long term roadmap and vision of our data infrastructure to meet future needs</li><li>Ensure efficiency and reliability of our large scale data processing infrastructure</li><li>Optimize and grow data infrastructure to meet increasing demand for data driven use cases</li></ul><h3>Qualifications</h3><ul><li>Experience managing and growing high performing teams of 5+ members</li><li>Hands-on technical leadership in designing and building highly scalable cloud data infrastructure systems for batch and/or stream processing</li><li>Familiarity in Python/Java/C++, SQL</li><li>Experience using modern compute, data infrastructure and visualization tools, and services such as Kafka, Airflow, AWS S3, AWS EC2, DBT, Kubernetes, Terraform, Data Lakes, Data Warehouses, and Looker</li><li>Strong written and verbal communication skills to work cross functionally with product managers, data scientists, ML engineers, and various stakeholders</li><li>Proven track record of delivering impactful projects through collaboration across teams and organization</li></ul><h3>Bonus Qualifications</h3><ul><li>Familiarity with Agile and Scrum based development</li><li>Familiarity with ML infrastructure</li><li>Experience in Autonomous Vehicle domain</li></ul><br><div><b>Compensation</b></div><div>There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $239,000 to $300,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.  </div><div><br></div><div>Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.</div><div><br></div><div><b>About Zoox</b></div><div>Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.</div><div><br></div><div><a href="https://www.linkedin.com/company/zoox-inc">Follow us on LinkedIn</a></div><div><br></div><div><b>Accommodations</b></div><div>If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.</div><div><br></div><div><b>A Final Note:</b></div><div>You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.</div>

Transforming urban transportation with fully electric autonomous vehicles, challenging car ownership and reducing congestion.

Engineering Manager - Data Platform

<div><span style="font-size:11pt;">We are seeking a highly skilled software engineer to design and develop platforms that support and facilitate AI model development for the Perception component of our autonomous driving stack. In this role, you will work closely with Machine Learning (ML) engineers, data scientists, and software engineers to build scalable and high-performance applications that enable ML engineers to efficiently curate and build model training datasets, as well as evaluate their models across petabytes of multimodal data. You will be responsible for conducting the design and implementation of the frontend application of various MLOps systems, ensuring that they follow best practices to maximize the tooling efficiency and ML engineers’ productivity.</span></div><br><br><h3>In this role, you will:</h3><ul><li>Collaborate with ML engineers and data scientists to understand business requirements and design MLOps applications that facilitate effective data operations, reveal data insights, and boost engineers’ productivity in ML model training and validation.</li><li>Develop the front end of the MLOps applications, for example, a Dataset Management platform that enables ML engineers to curate label data for model training. Another example is the Metrics platform that enables ML engineers to build their own metrics and dashboards to evaluate the performance of their models.</li><li>Collaborate with backend engineers and data engineers to integrate the frontend application seamlessly with data pipelines and workflows on top of modern data processing technologies such as Apache Spark and Databricks, to support the real-time processing and visualization of large-scale data.</li><li>Monitor and optimize the performance of the applications to ensure high availability, scalability, and reliability, to support the development of mission-critical autonomous driving technology.</li><li>Continuously define problems and opportunities to iterate the application with a visionary product roadmap that keeps stakeholders on the same page.</li><li>Stay up-to-date with the latest trends and technologies in MLOps and data visualization, specifically related to autonomous driving perception and machine learning.</li></ul><h3>Qualifications</h3><ul><li>Bachelor's or Master's degree in Computer Science, Engineering, or a related field.</li><li>At least 5 years of experience in software engineering and front-end application development.</li><li>Experience designing and building modern data-intensive applications such as data warehouses that query and visualize data at a large scale.</li><li>Experience with modern web frameworks (e.g. react, angular, vue), python API frameworks (e.g. FastAPI, Django), and writing high-quality backend Python code.</li><li>Knowledge of SQL basics.</li><li>Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.</li></ul><h3>Bonus Qualifications</h3><ul><li>Experience in MLOps application development and ML-related development in the Autonomous Driving industry</li><li>Experience with Plotly Dash framework is a plus</li><li>Experience working with distributed data processing platforms such as Databricks</li></ul><br><div><b>Compensation and Benefits</b></div><div>There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $179,000-$294,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.  </div><div><br></div><div>Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.</div><div><br></div><div><b>About Zoox</b></div><div>Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.</div><div><br></div><div><a href="https://www.linkedin.com/company/zoox-inc">Follow us on LinkedIn</a></div><div><br></div><div><b>Accommodations</b></div><div>If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.</div><div><br></div><div><b>A Final Note:</b></div><div>You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.</div>

Full Stack Software Engineer - Perception Labeling & Tools

<div><span style="font-size:11pt;">Simulation is key to ensuring the safety of autonomous vehicles at Zoox. In this critical role, you will ensure Zoox’s simulation framework is a trustable platform for AI driving software validation, by analyzing the accuracy and realism of the simulator, and how effective the sim platform is at predicting real-world driving performance. You will work cross-functionally with our AI/autonomy teams, systems engineering and safety analysis teams, QA teams, and more, to measure and guide improvements to our simulation platform.</span></div><br><br><h3>Responsibilities</h3><ul><li>Derive requirements and perform system verification/validation for simulation frameworks and tools.</li><li>Drive planning and execution by decomposing system needs into projects, tools, and/or features that deliver incremental value to teams and customers.</li><li>Build metrics and tools which measure and continuously monitor simulation validity in alignment with company objectives.</li><li>Lead analyses of tools/frameworks and communicate results across stakeholders, driving continuous improvement to software components.</li><li>Collaborate with Engineering Managers to ensure design, implementation, and programs are on track, and regularly drive consensus among diverse partners on technical projects.</li><li>Develop clear proposals and design documents for large-scope or multi-functional initiatives.</li><li>Design and build statistically-sound analyses, sampling methods, validation criteria, and development processes for building highly relevant datasets for evaluation applications.</li><li>Build tools to mine large-scale logs and simulated data for the most interesting situations.</li><li>Typical workload: 30% validation strategy 30% coding, 40% dataset development and statistical analysis. </li></ul><h3>Qualifications</h3><ul><li>8+ years of experience in decomposing and analyzing large, complex systems.</li><li>Experience in systems engineering, requirements authoring, system analysis, and validation/testing.</li><li>Experience developing, specifying, and/or validating simulation-based testing technologies for autonomous, robotics, or other complex integrated systems.</li><li>Fluent in data-based and analytical engineering problem-solving practices, including using paretos and root cause analysis.</li><li>Excellent critical and analytical thinking skills: you can interpret what the data tells us and which analyses will reveal impactful conclusions.</li><li>Databricks, Jupyter Notebooks experience.</li><li>Proficient with Python, SQL, or similar for analysis of large datasets.</li><li>Clear track record of effective collaboration with data scientists, machine learning engineers, and platform teams, driving continuous delivery of quality results.</li><li>Comfortable working in a fast-paced environment and operating under ambiguity.</li><li>Strong communication skills and experience addressing diverse audiences.</li><li>BS, MS, or Ph.D. in Computer Science, Mechanical Engineering, Robotics, or equivalent experience</li><div><br></div></ul><br><div><b>Compensation</b></div><div>There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $203,000 to $345,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.  </div><div><br></div><div>Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.</div><div><br></div><div><b>About Zoox</b></div><div>Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.</div><div><br></div><div><a href="https://www.linkedin.com/company/zoox-inc">Follow us on LinkedIn</a></div><div><br></div><div><b>Accommodations</b></div><div>If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.</div><div><br></div><div><b>A Final Note:</b></div><div>You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.</div>

Senior/Staff Systems Engineer - Simulation Verification & Validation

<div>The Collision Avoidance System (CAS) is responsible for detecting and reacting to imminent collision situations in support of our vehicle’s overall safety goals. CAS Perception is responsible for processing raw sensor data from our vehicle’s world-class sensor suite using a combination of geometric, interpretable algorithms and deep learning to detect near-collisions with obstacles along our intended driving path, in the most challenging dense urban environments and under tight compute resource constraints. Overall CAS is parallel and complementary to our Main AI autonomy stack and has a close relationship with our vehicle hardware and safety teams to architect redundancy into our overall driving system.</div><div><br></div><div>As the Manager, Data Science for CAS (CAS Verification and Validation) at Zoox, you will spearhead a multifaceted team comprising engineers, data scientists, and statisticians, focusing on the critical task of assessing the Collision Avoidance System (CAS). This system is essential for detecting and mitigating imminent collisions, through partnering with Zoox's autonomy software teams. Your role involves defining and building metrics to gauge CAS performance, emphasizing its operation in dense urban settings. You will collaborate extensively with System Engineers and QA teams to formulate comprehensive validation plans, ensuring CAS's efficacy and integration within Zoox's broader safety objectives.</div><br><br><h3>Responsibilities</h3><ul><li>You will set the short and long-term technical direction for the team and collaborate on the broader company-wide directions </li><li>You will coordinate cross-functional initiatives with other teams across CAS Perception Algorithms, Systems Engineering, QA, and more</li><li>You will grow the team through hiring and guide the continued professional development of team members</li><li>You will collaborate with engineers on the other parts of CAS Perception, CAS Planner, and the Main AI teams to solve the overall Autonomous Driving problem in complex urban environments</li></ul><h3>Qualifications</h3><ul><li>B.S. or higher degree in an Engineering or Science discipline with a strong focus on Mathematics, Statistics, Probability Theory, or Data Science</li><li>8+ years of relevant professional work experience and at least 2 years of leading teams of 5+ engineers</li><li>Fluency in Python</li><li>Proficiency in quantitative analysis/modeling tools</li><li>Sound statistical inference skills, with the ability to communicate uncertainty appropriately to engineering and business stakeholders</li></ul><h3>Bonus Qualifications</h3><ul><li>Advanced Degree in Computer Science</li><li>Experience with production metrics pipelines</li><li>Experience with manual or automatic labeling pipelines</li><li>Experience with analysis of latency for safety-critical software systems</li><li>Experience with petabyte-scale distributed computing (Spark, Databricks, generic MapReduce pipelines)</li><li>Background in Bayesian statistics</li><li>Proficient with Scala / R / SQL</li><li>Prior experience with autonomous vehicles in general</li><li>Strong mathematics skills</li></ul><br><div><b>Compensation</b></div><div>There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $203,000 to $319,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.  </div><div><br></div><div>Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.</div><div><br></div><div><b>About Zoox</b></div><div>Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.</div><div><br></div><div><a href="https://www.linkedin.com/company/zoox-inc">Follow us on LinkedIn</a></div><div><br></div><div><b>Accommodations</b></div><div>If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.</div><div><br></div><div><b>A Final Note:</b></div><div>You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.</div>

Manager, Data Science for Collision Avoidance

<h2>Joby Overview</h2>Located in Northern California, the team at Joby Aviation is driven by our goal of creating an affordable, all-electric air transportation system. Imagine a piloted air taxi that takes off vertically, then quietly carries you and your fellow passengers over the congested city streets below, enabling you to spend more time with the people and places that matter most. Since 2009, our team has worked steadily to make this dream a reality. We’ve designed and tested many generations of prototype aircraft capable of serving in a network of electric air taxis. We’re looking for talented, committed individuals to join our team as we push onwards toward certifying the Joby aircraft with the Federal Aviation Administration, scaling our manufacturing, and preparing to launch commercial service in 2025.<h2>Overview</h2><p>Joby Aviation is seeking a skilled Data Scientist with a specialized background in developing Prognostics and Health Monitoring (PHM) algorithms, specifically for aircraft or heavy machinery applications. The ideal candidate will bring a proven track record in contributing to the research and development of cutting-edge diagnostic and prognostic solutions for critical applications. As a valuable member of our dynamic team, the successful candidate will play a pivotal role in designing innovative diagnostics and prognostics algorithms tailored for the Joby S4 vehicle. This position involves active participation in all stages of the product development lifecycle, requiring expertise in requirements gathering, design, validation, documentation, release, and maintenance. You will also need to work closely with your colleagues across a broad set of highly technical disciplines who depend on data. The ideal candidate is energetic, has a positive attitude, is flexible and excited about learning and using new technologies. </p><h2>Responsibilities</h2><ul> <li>Develop models and scalable algorithms derived from both data and underlying physics to evaluate the condition of electro-mechanical systems</li> <li> Create predictive models of physical degradation, failures, and data-driven prognostics algorithms to assess the health and performance of critical components</li> <li> Formulate health monitoring strategies to detect anomalies/outliers in real flight data</li> <li> Conduct research and development projects concentrating on Prognostic Health Management (PHM) and Condition Based Maintenance Plus (CBM+) in diverse application areas</li> <li> Gather and analyze equipment lifecycle history, including failure modes, downtime, MTBF, etc.</li> <li> Address complex questions regarding fleet usage and behavior to facilitate proactive monitoring, enhance reliability, and minimize field failures</li> <li> Wrangle data from a multitude of formats and systems (Avro, TDMS, PostgreSQL, AWS, etc.)</li> <li> Conduct data analysis and interpret sensor data from a number of physical tests (aircraft, simulators, reliability test equipment, subsystem tests, etc.)</li> <li> Collaborate with cross-functional teams and subject matter experts to integrate prognostic solutions into existing systems and workflows</li> <li> Support field testing and validation efforts, working closely with test engineers and technicians to validate prognostic models in real-world environments</li> <li> Automate data collection and processing algorithms, including the generation of Machine Learning/Deep Learning models for automatic data labeling and anomaly detection</li> <li> Comfortable navigating a quickly changing environment and willing to learn on-the-fly to obtain and define requirements</li> <li> Stay current with advancements in machine learning, particularly in the areas of data-driven prognostics and physics-based machine learning</li></ul><p>The primary location for this role is in Santa Cruz CA. but an alternate location of San Carlos, CA. is also possible.</p><h2>Required</h2><ul> <li>MS or PhD in Electrical, Computer Science, Mechanical, or Aerospace Engineering, or similar field and 7+ years of relevant experience.</li> <li>Work experience, including academic research, directly related to the development of Prognostics Health Management (PHM) or Condition Based Maintenance Plus (CBM+) technologies, or analysis and simulation of complex electrical or mechanical systems </li> <li>Strong background in data analysis (algorithms, data structures, and architectures), probability, statistics, signal processing, and predictive modeling </li> <li>Experience with rotating machinery diagnostics and vibrational analysis, preferably in the aerospace industry </li> <li>Strong programming skills, preferably in Python and its numerical and data libraries (pandas, scipy, numpy, etc.) </li> <li>Work experience with Apache Spark or other big data tools (Databricks, Presto, Data Lake, etc.) </li> <li>Work experience with anomaly/outlier detection in time series data </li> <li>Proficient in data-driven methods, Regression, Neural Networks, Machine Learning and Deep Learning </li> <li>Strong written and verbal communication skills </li> <li>Self-starter capable of working with limited supervision and guidance </li> <li>Experience leading teams and projects from conception to completion </li> <li>Strong verbal and written communication skills </li></ul><h2>Desired</h2><ul> <li>Experience with Health and Usage Monitoring Systems (HUMS) and their certification</li> <li> Knowledge of aerospace systems, components, and their failure modes</li> <li> Familiarity with fault detection and diagnosis methods, and reliability analysis</li> <li> Experience with MLOps and building machine learning pipelines in a professional setting</li> <li> Record of generating new ideas or improving existing ideas in statistical modeling or machine learning, demonstrated by accomplishments such as first-author publications or projects</li> <li> Experience with data architectures in relation to how to store, fetch, and manipulate data (SQL, custom APIs, etc.)</li> <li> Used Git in small to medium size teams for code reviews.</li></ul><p> </p><p>Please still apply if you don’t meet all items in the desired section! Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse and effective workplace, so if you’re excited about this role but your experience doesn’t align perfectly with every qualification, we encourage you to apply anyway. You may be just the right candidate for this or other roles.</p><p>Compensation at Joby is a combination of base pay and Restricted Stock Units (RSUs). The target base pay for this position is $148,700 - $198,200/yr. The compensation package offered will be determined by location, job-related knowledge, skills, and experience.</p><p>Joby also offers a comprehensive benefits package, including paid time off, healthcare benefits, a 401(k) plan with a company match, an employee stock purchase plan (ESPP), short-term and long-term disability coverage, life insurance, and more.</p><h2>Min</h2><h2>Max</h2><h2>EEO</h2><p>Joby is an Equal Opportunity Employer.</p>

Transforming personal mobility with safe, quiet, and affordable electric aircraft for the next generation.

Staff Data Scientist – Prognostics and Health Monitoring

<h2>Joby Overview</h2>Located in Northern California, the team at Joby Aviation is driven by our goal of creating an affordable, all-electric air transportation system. Imagine a piloted air taxi that takes off vertically, then quietly carries you and your fellow passengers over the congested city streets below, enabling you to spend more time with the people and places that matter most. Since 2009, our team has worked steadily to make this dream a reality. We’ve designed and tested many generations of prototype aircraft capable of serving in a network of electric air taxis. We’re looking for talented, committed individuals to join our team as we push onwards toward certifying the Joby aircraft with the Federal Aviation Administration, scaling our manufacturing, and preparing to launch commercial service in 2025.<h2>Overview</h2><p>We are looking for a passionate individual to lead and manage the integrated flight simulator team. The successful candidate will play a key leadership role in a small, fast-moving team responsible for the architecture, design, and implementation of a robust, deterministic, and highly scalable software simulation framework. They will work closely with multidisciplinary teams of engineers, data scientists, pilots, and other stakeholders to create and improve one of the highest fidelity flight simulators.</p><p> </p><p>This role also involves performing individual contributor work as a C++ software engineer. As the team is small, the leadership responsibilities should represent half of the job effort on average making this role perfect for leaders who wish to stay close to the code and keep their engineering skills fresh.</p><p> </p><p>The team consists of talented engineers with OOP C++ development skills who can design and build a high-fidelity simulator that will help drive the development, verification, and certification activities for a one-of-a-kind fully electric aircraft.</p><h2>Responsibilities</h2><p>In this role you will:</p><ul> <li>Focus on leading the Integrated Vehicle Simulator (IVS) software development team towards feature completion through planning and scheduling of effort. This includes guiding sprint planning activities as well as disseminating priorities.</li> <li>Collaborate and touch base with stakeholders to ensure scope, schedules, and priorities are well understood.</li> <li>Develop and manage a team of engineers to achieve company objectives by providing technical direction, monitoring progress, problem solving, and leading your team's professional development (e.g., performance evaluations, promotion management, routine one-on-one developmental conversations) and mentor them on performance.</li> <li>Participate in software design reviews to provide input on functional requirements, product designs, schedules, or potential problems.</li> <li>Work with a range of software, processor in the loop, and hardware in the loop simulators representative of the eVTOL system.</li> <li>Become the simulator product expert and support software verification, devops, and other software engineering teams with their simulator needs.</li> <li>Lead efforts to design, execute, and maintain supporting documentation for simulator usage.</li> <li>Perform software engineering tasks with the same care and consideration expected from the rest of the team.</li></ul><h2>Required</h2><ul> <li>Experience as a team lead, manager, or mentor of software engineers.</li> <li>University degree in computer science or computer engineering and 7+ years industry experience. An advanced degree and 5+ years industry experience will also be considered.</li> <li>Practical knowledge of object-oriented programming methodology and multi-layered system architectures.</li> <li>Demonstrable knowledge of C++ and knowledge of multi-threaded systems.</li> <li>Experience with modern integrated development environments and debuggers.</li> <li>Basic understanding of version control technologies.</li> <li>Exposure to python.</li></ul><p>Candidate should be an energetic, meticulous, self-motivated person with an adamant belief in the importance of product quality. If you love working with leading-edge technology, have passion for innovation and safety, and a hands-on approach this is the job for you.</p><h2>Desired</h2><ul> <li>A positive attitude and a passion for Aerospace!</li> <li>A personable approach to stakeholder management.</li> <li>Willingness to be flexible and learn new technologies.</li> <li>Experience in building schedules, Gantt charts, or road-maps pertaining to software development.</li> <li>Experience with running sprint planning exercises.</li> <li>Knowledge of needs analysis, requirements analysis, and resource/capacity planning.</li></ul><p>Please still apply if you don’t meet all items in the desired section! Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse and effective workplace, so if you’re excited about this role but your experience doesn’t align perfectly with every qualification, we encourage you to apply anyway. You may be just the right candidate for this or other roles.</p><p> </p><p>Compensation at Joby is a combination of base pay and Restricted Stock Units (RSUs). The target base pay for this position is $137,800 - $183,800/yr. The compensation package offered will be determined by location, job-related knowledge, skills, and experience.</p><p> </p><p>Joby also offers a comprehensive benefits package, including paid time off, healthcare benefits, a 401(k) plan with a company match, an employee stock purchase plan (ESPP), short-term and long-term disability coverage, life insurance, and more.</p><p> </p><h2>Min</h2><h2>Max</h2><h2>EEO</h2><p>Joby is an Equal Opportunity Employer.</p>

Software Engineering Lead, Flight Simulator

<h2>Joby Overview</h2>Located in Northern California, the team at Joby Aviation is driven by our goal of creating an affordable, all-electric air transportation system. Imagine a piloted air taxi that takes off vertically, then quietly carries you and your fellow passengers over the congested city streets below, enabling you to spend more time with the people and places that matter most. Since 2009, our team has worked steadily to make this dream a reality. We’ve designed and tested many generations of prototype aircraft capable of serving in a network of electric air taxis. We’re looking for talented, committed individuals to join our team as we push onwards toward certifying the Joby aircraft with the Federal Aviation Administration, scaling our manufacturing, and preparing to launch commercial service in 2025.<h2>Overview</h2><p>The successful candidate will play a key role in a small, fast-moving team responsible for the architecture, design, and implementation of a robust, deterministic, and highly scalable software simulation framework. They will work closely with multidisciplinary teams of engineers, data scientists, pilots, and other stakeholders to create and improve one of the highest fidelity flight simulators.</p><h2>Responsibilities</h2><p>We are looking for talented engineers with OOP C++ development skills who can design and build a high-fidelity simulator that will help drive the development, verification, and certification activities for a one-of-a-kind fully electric aircraft.</p><h2>Required</h2><ul> <li>University degree in computer science or computer engineering and 7+ years industry experience. An advanced degree and 5+ years industry experience will also be considered.</li> <li>Practical knowledge of object-oriented programming methodology and multi-layered system architectures</li> <li>Demonstrable knowledge of C++ and knowledge of multi-threaded systems</li> <li>Experience with modern integrated development environments and debuggers</li> <li>Basic understanding of version control technologies</li> <li>Exposure to python</li></ul><h2>Desired</h2><ul> <li>A Positive attitude and a passion for Aerospace!</li> <li>Willingness to be flexible and learn new technologies. </li> <li>Ability to work inside of a team.</li></ul><p> </p><p>Please still apply if you don’t meet all items in the desired section! Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse and effective workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification, we encourage you to apply anyway. You may be just the right candidate for this or other roles.</p><p> </p><p>Compensation at Joby is a combination of base pay and Restricted Stock Units (RSUs). The target base pay for this position is $97,500-$191,000. The compensation package offered will be determined by location, job-related knowledge, skills, and experience.</p><p>Joby also offers a comprehensive benefits package, including paid time off, healthcare benefits, a 401(k) plan with a company match, an employee stock purchase plan (ESPP), short-term and long-term disability coverage, life insurance, and more.</p><p> </p><h2>Min</h2><h2>Max</h2><h2>EEO</h2><p>Joby is an Equal Opportunity Employer.</p>

Senior Software Engineer, Flight Simulator

<div><h2>About Watershed</h2><p><a href="https://watershedclimate.com/">Watershed</a> is a software platform for running a world-class climate program. We measure our success in the carbon reduction achievements of our customers. We are looking for team members who love product-building, want to work hard at a mission-oriented startup, and will collaborate with us in shaping the culture of a growing team.</p><p>We have offices in San Francisco, New York and London and remote team members across the US and Europe. We hope that you'll be interested in joining us!</p><h2>The role</h2></div><p>Accurately measuring sustainability impacts throughout the value-chain is the first step to reduce the human footprint on the planet. Watershed is building the leading software solution for financial institutions to measure their financed greenhouse gas emissions as a means to discovering pathways to reduce them. And, we are building a team of scientists to implement the end-to-end measurement and sustainability analytics platform for our customers.</p><p>We’re looking for an individual to own the data science strategy for the Watershed Finance team and develop it in tandem with other functional leaders to shape the product, go-to-market, and services strategies for the team. You'll work with world-class scientists, software engineers, and product designers to build the leading platform for measuring and evaluating sustainability impacts for the climate programs of some of the world’s preeminent financial institutions.</p><p><strong>As part of this work, you will:</strong></p><ul><li>Combine customer needs, government and industry guidance, and business strategy to create and execute the data science roadmap for the Watershed Finance product.</li><li>Partner with and advise trailblazing customers as we co-develop cutting-edge products that turn Watershed’s climate intelligence into market-leading investment intelligence.</li><li>Expand the impact of climate data science within financial institutions by researching and developing methods to solve problems like forecasting portfolio emissions trajectories, modeling decarbonization pathways, and measuring progress against targets.</li><li>Build and improve emissions estimation models that work with the varying types and granularities of investment data available to different types of financial institutions, including private equity, private credit, insurers, and more.</li><li>Identify and incorporate external data sets to enrich and expand Watershed’s offering, including financial data, emissions reports, and decarbonization commitments.</li><li>Use Watershed’s tooling to develop, test, and deploy models.</li></ul><p><strong>You might be a fit if you:</strong></p><ul><li>Have 6+ years experience as a data scientist, bonus if you have experience in process LCA, environmental input-output analysis, or hybrid LCA especially if related to modeling emissions for financial institutions.</li><li>Have experience in a customer-facing role leading engagements that involve problem discovery, product roadmap development, and advisory services.</li><li>Have fluency in a scientific programming language like Python, ideally in a production environment.</li><li>Are an excellent verbal and written communicator. You can communicate complex topics to technical and non-technical audiences.</li><li>Thrive in high-volume environments, with both systematic organization to drive efficiency and meticulous attention to detail to ensure accuracy.</li><li>Are willing to roll up your sleeves to work with unstructured and inconsistent data. You have good intuition for how numbers in a table map to the real world.</li><li>Are passionate about solving sustainability challenges and excited to contribute to doing so at a fast paced startup. You learn quickly and operate well in ambiguity.</li></ul><div><div><div><p>At Watershed, we strive to design consistent, fair, and competitive compensation programs. The total cash compensation range may be inclusive of several levels at Watershed and final offer will be determined by a number of factors, including the candidate’s skills, capabilities, and location, as well as scope of the role.</p><p><span>The anticipated cash compensation range is in addition to a total rewards benefit package including equity, health/dental/vision insurance, 401(k), unlimited paid time off, paid parental leave, fertility, and mental health programs etc. </span></p></div><div>Salary Range</div><div><span>$114,700</span><span>—</span><span>$230,300 USD</span></div></div></div><div><h2> </h2><h2>FAQ</h2><p><strong>Where does Watershed work?</strong></p><p>We have hub offices in San Francisco, New York and London, and some remote team members in the US and EU. Most of our jobs need to be in San Francisco / New York / London, but certain jobs are open to being remote and will be specifically noted on the jobs page and in the job description.</p><p><strong>What’s the interview process like?</strong></p><p>It starts the same for every candidate: getting to know the team members through 1 to 2 conversations about Watershed, your experience, and your interests. Next steps can vary by role, but usual next steps are a skill or experience screen (e.g. a coding interview for an engineer, a portfolio review for a designer, deeper experience call for other roles) which leads to a virtual or in person interview panel after that if the screens go well. We prioritize transparency and lack of surprise throughout the process.</p></div>

Measure, reduce, and report carbon emissions with Watershed's enterprise climate platform, trusted by leading companies worldwide.

Environmental data scientist, financial services

<div>At Bowery, we’re making wildly delicious food more accessible to everyone. Driven by our proprietary end-to-end technology, our farms are transforming the entire fresh food supply chain to be simpler, safer, and vastly more sustainable.</div><div><br></div><div>We have 5 farms in operation (including state-of-the-art R&amp;D and innovation farms) and we’re just getting started. We’re backed by tech and agriculture industry leaders with $647M in equity and debt capital, and our products are sold in over 1,400 locations.</div><div><br></div><div>Working at Bowery is more than just a job. It’s a chance to make a global impact with first-of-its-kind technology and ridiculously good food. We’re always looking for passionate minds to grow (and eat) with us! Ready to make a real difference? Join us. We’d love to have you here.  </div><div><br></div><div>P.s. Check out <a href="https://spoti.fi/3ToY3Mm"><b>The Roots: Bowery Farming's People Podcast</b></a> for all things Bowery culture, teams, leadership, and karaoke (yes, karaoke)</div><div><br></div><div><b style="font-size:18px;">About The Role:</b></div><div><span style="font-size:10.5pt;">The Data Science, Algorithms, role at Bowery builds production-facing data products which help automate and optimize the agricultural and operational functions across our network of indoor vertical farms. The Data &amp; AI function is central to the vision of the company as well as its day-to-day operation, and owns the analytics, forecasting, crop modeling, computer vision, and operations optimization solutions. In addition to our team of data scientists, you’ll also collaborate with software engineers, agricultural scientists, and supply-chain managers who bring domain expertise to our data-driven solutions. </span></div><div><br></div><div>This role is based out of our NYC HQ. We follow a hybrid working model.  </div><br><br><h3>What You'll Do:</h3><ul><li>You’ll create innovative quantitative solutions to advance the state of indoor farming alongside supply chain managers, mechanical engineers, and agricultural operations specialists.</li><li>You’ll research, design, and implement machine learning and operations research models. </li><li>You’ll design and build solutions to optimize farm operations and help achieve the highest utilization of time and space in the farm.</li><li>You’ll design experimental frameworks to ensure data integrity and empower us to more easily analyze and act upon data from new trials.</li><li>You’ll analyze historical data related to crop growth and environmental characteristics to model and forecast yields for future harvests, and uncover insights about optimizing growth potential.</li><li>You’ll help shape the way our data science team does work - researching and making key decisions about what we build, how we build it, and which tools are best for solving our problems.</li><li>You’ll work alongside software engineers to implement data processing and visualization systems that make data readily available and simplify how insights are communicated.</li><li>You won’t target ads, optimize signup funnels, or recommend anything for anyone to click on.</li></ul><h3>Who You Are:</h3><ul><li>You have extensive experience applying data science, operations research, machine learning, or related methods to solving real-world problems.</li><li>You have experience designing and deploying software that makes decisions, and monitoring/measuring the impact of those decisions.</li><li>You've worked with cross-functional stakeholders to implement or maintain software that serves business needs.</li><li>You are fluent in Python and enjoy building software the team can depend on.</li><li>You are proficient with SQL and can work “full stack” to integrate solutions with our data ecosystem.</li><li>You are confident in taking ownership of projects from start to finish and enjoy the process of turning nebulous ideas into reality.</li><li>You are energized by the idea of translating business, operations, and agricultural questions into data science problems, solving those problems, and interpreting the output back into clear outcomes.</li><li>You’re a creative problem solver who is able to execute independently but plan collaboratively.</li><li>You have a strong mathematical background in probability, statistics, and optimization algorithms.</li><div><br></div></ul><h3>Who We Are:</h3><ul><li>Bowery is a place where everyone is welcome, included, and empowered to reach their full potential.</li><li>We live our shared values every day in both big and small ways: opt in, think wildly different, break barriers together &amp; be kind to the core</li><li>We are a mission-driven team of unconventional thinkers, problem-solvers, optimists, and activators</li><li>We share a passion for giving back more to the planet than we take, growing deliciously abundant food without abundant harm</li><li>We are excited to hear from you! </li></ul><h3>Benefits as Good as our Greens</h3><ul><li>To support you and your family, we offer health, dental, and vision insurance; mental health resources; family forming support; long-term and short-term disability insurance; FSA; HSA and commuter benefits</li><li>Company stock options so that you can reap the benefits of every Bowery win</li><li>401k Program</li><li>The more balance, the better. We offer unlimited paid vacation, paid holiday - plus 16 weeks of paid parental leave so you can focus on what matters most</li><li>From internal mobility to a mentorship program and curated L&amp;D initiatives, we are fully invested in your growth</li></ul><br><div>Our commitment to eliminating bias and ensuring pay equity goes beyond pay transparency. Click here (<a href="https://bit.ly/3CUwuUY">https://bit.ly/3CUwuUY</a>) to learn more about how compensation works at Bowery, how we came up with the salary on this job posting, and what we’re doing to ensure your compensation is internally and externally equitable.</div><div><br></div><div>The salary for this role will be $185,000. If this role is of interest to you, we encourage you to apply no matter what so we can see your profile and background. You can trust us to make a leveling assessment based on your unique skills and experience and communicate that with you. </div><div><br></div><div>Bowery is an equal opportunity employer - a place that celebrates unique backgrounds, qualities, and cultures that will enrich the workplace. We are attempting to redefine what a sustainable agricultural supply chain can look like. We cannot achieve this mission without a team that reflects the diversity of people who want fresh, locally grown food in regard to race, ethnicity, gender, sexuality, age, national origin, religion, family status, disability, military status, and experience. We strongly encourage people from marginalized communities to apply to join our team.</div>

Revolutionizing agriculture for a healthier planet and population, Bowery delivers fresh, nutritious produce through sustainable farming.

Senior Data Scientist, Algorithms

<h1>About Us</h1><p style="">At Hayden AI, we are on a mission to harness the power of artificial intelligence and machine learning to transform the way governments and businesses address real-world challenges. <br><br>From optimizing bus lane and bus stop enforcement to pioneering digital twin modeling and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive forward a sustainable future.</p><p style=""></p><h1>What the Job Involves</h1><p style="">This product manager role focuses on identifying opportunities, creating product visions and roadmaps, and leading the development and launch of innovative products. The right candidate will work with cross-functional teams to translate user research and market data into product requirements, ensuring successful product launches.</p><h2><br>Responsibilities</h2><ul style=""><li><p style="">Understand the needs and problems of the target market and user base by conducting comprehensive research. </p></li><li><p style="">Develop and articulate a clear vision for assigned products, aligning them with Hayden's business goals and strategy. </p></li><li><p style="">Work closely with the engineering and design teams to define product features and requirements. Prioritize these features based on their potential impact on user satisfaction, market demand, and business objectives.</p></li><li><p style="">Act as a bridge between technical teams (engineers, data scientists), design teams, product marketing, sales, and customer support to ensure alignment on product goals, timelines, and priorities.</p></li><li><p style="">Guide the development of prototypes and minimum viable products (MVPs) to test and validate hypotheses with real users. </p></li><li><p style="">Define key performance indicators (KPIs) for the product and monitor these metrics closely. Use data-driven analysis to make informed decisions about product improvements, feature enhancements, and market positioning. </p></li><li><p style="">Regularly communicate with all stakeholders, including customers, investors, and internal team members. Provide updates on product development progress, share insights from market research, and gather feedback to iterate on the product. </p></li><li><p style="">Keep an eye on competitors and the broader market to understand emerging trends, technologies, and potential threats. Use this information to inform strategic decisions and keep the product competitive. </p></li></ul><h2><br>Qualifications</h2><ul style=""><li><p style="">Bachelor's degree in Computer Science, Engineering, or related field.</p></li><li><p style="">5+ years product management or related industry experience.</p></li><li><p style="">Demonstrated experience building and developing B2G products.</p></li><li><p style="">Proven ability to ideate, develop and bring new products to market.</p></li><li><p style="">Knowledge of Artificial Intelligence (AI) is a plus.</p></li><li><p style="">Track record of working in a technical environment with a cross-functional team to drive product vision, define requirements, coordinate resources, and define KPIs and milestones.</p></li><li><p style="">Strong presentation skills for delivering technical information.</p></li><li><p style="">Expertise in data analysis, including handling complex, large-scale datasets and making data-driven decisions.</p></li><li><p style="">Skilled at requirements gathering from diverse stakeholders and translating them into product solutions.</p></li></ul><h1><br>Benefits and Perks</h1><p style="">There are endless learning and development opportunities from a highly diverse and talented peer group, including experts in a wide range of fields (AI, Computer Vision, Government Contracting, Systems &amp; Device Engineering, Operations, Communications, and more!)</p><ul style=""><li><p style="">Options for 100% company paid medical, dental, and vision coverage for employees and dependents (for US employees)</p></li><li><p style="">Flexible Spending Account (FSA) and Dependent Care Flexible Spending Account (DCFSA)</p></li><li><p style="">Life, AD&amp;D, Short and Long Term Disability Insurance</p></li><li><p style="">Aflac Critical Illness, Accident Insurance &amp; Hospital Indemnity Insurance</p></li><li><p style="">MetLife Legal Plan(s) &amp; Pet Insurance</p></li><li><p style="">Farmers GroupSelect Auto &amp; Home Insurance</p></li><li><p style="">401(k) with 3% company matching</p></li><li><p style="">Professional development reimbursement</p></li><li><p style="">Unlimited PTO</p></li><li><p style="">Hybrid work opportunities</p></li><li><p style="">Daily catered lunches in our San Francisco office</p></li></ul><p style=""><br>Hayden AI is committed to creating a diverse and inclusive environment that fosters learning from each other. We celebrate people of diverse backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer and are committed to providing a work environment free of harassment and discrimination. Hayden AI is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process. To all recruitment agencies: Hayden AI does not accept agency resumes.<br><br>Please do not forward resumes to our jobs alias, Hayden AI employees or any other company location. Hayden AI is not responsible for any fees related to unsolicited resumes.</p>

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