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Job Description Gravis Robotics is a startup turning heavy construction machines into intelligent and autonomous robots. Our unique combination of learning-based automation and augmented remote control enables a single operator to safely manage a fleet of earthmoving machines in a gamified environment. With over a decade of academic experience at the cutting edge of large-scale robotics, our team is rapidly translating this expertise into real-world deployments with industry leaders in a trillion-dollar market. Our Rooftop Autonomous Control Kit (RACK) integrates sensing, compute, communication, and networking into a manufacturer-agnostic solution that works across a wide range of construction machines. We operate at the intersection of hardware, software, and real-world deployment, and we're growing fast. About the Role We're building out our US field team and looking for a hands-on Field Robotics Engineer to be part of it from the ground up. You'll own the end-to-end technical execution of customer deployments across the Americas, from initial site assessment through live operations, and work directly with R&D and Operations to continuously sharpen how we plan, test, and deliver. This is not a desk job. You'll be on-site, getting systems to perform in real-world conditions, troubleshooting integrated robotic systems under pressure, and serving as the trusted technical face of Gravis to our customers. If you want to see your work move dirt, this is the role. Responsibilities Lead the technical execution of customer deployment projects from start to handover Own end-to-end technical planning, coordination, and follow-up in close collaboration with Operations Serve as a trusted technical point of contact for customers throughout the deployment lifecycle Provide hands-on technical support and guidance to customers and end users Perform regular system testing to ensure reliability, robustness, and performance Generate performance reports and work with cross-functional teams to identify and resolve issues quickly Contribute to continuous improvement of deployment processes, tooling, and best practices Required Qualifications Bachelor's degree or higher (or equivalent experience) in Robotics, Mechatronics, Electrical Engineering, Mechanical Engineering, or a related field Hands-on experience deploying, integrating, and debugging robotic software systems Experience with the ROS ecosystem Solid Linux proficiency and fluency with Git or similar version control Programming skills in C++ and Python Willingness to travel to customer sites, including domestically and internationally depending on project needs Valid US driver's license Must be authorized to work in the United States Additional Beneficial Skills Hands-on mechanical or electronics experience (hardware assembly, basic soldering) Experience with communication protocols such as CAN Previous customer project or technical project management experience Practical experience repairing vehicles, machinery, bicycles, or electronics Experience operating or working with construction or agricultural machinery Location & TravelThis role is US-based with frequent travel to deployment sites across the Americas. You'll get real exposure to customer environments from day one. You'll also spend several weeks at our headquarters in Zurich, Switzerland, at the start, embedded with our engineering, product, and operations teams to deeply understand our technology and culture before heading into the field. Don't meet every requirement? If you're enthusiastic about this role but your experience doesn't match every qualification, we still encourage you to apply. You might be the perfect candidate for this or other positions. This is an opportunity to join a dynamic and versatile team and to be part of a young startup that is revolutionizing heavy construction. Gravis Robotics offers a competitive salary and the opportunity to work on problems with real global impact. Gravis is an equal opportunity employer. We are committed to building an inclusive and diverse team, and do not discriminate based upon race, color, ancestry, national origin, religion, sex, sexual orientation, age, gender identity, gender expression, disability, veteran status, or other legally protected characteristics. We comply with all applicable federal, state, and local employment laws. We are an international team working to solve problems with global impact. Proficiency in English is a requirement for all roles. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionDescription: @Orchard LLC is seeking Junior Programmer Analysts to support a highly visible NOAA Satellite Applications and Research program. This position is contingent upon contract award. Key Responsibilities: • Manage daily operations of existing satellite data processing systems, ensuring continuous data flow and rapid troubleshooting of technical bottlenecks., • Support design and develop activities for new data processing and delivery systems, scaling existing architecture to meet evolving customer needs and resource availability., • Work closely with Senior Scientists to support the development and integration of new data products., • Actively promote the use of ocean and coastal satellite data for downstream decision-making and real-world applications., • Maintain and enhance the program’s Drupal-based website to ensure information is accessible and up to date., • Author comprehensive technical and non-technical documentation for all system deliveries and workflows., • Effectively leverage AI tools to automate workflows and increase operational efficiency., • Manage helpdesk inquiries, providing timely resolutions to user issues., • Support new employee onboarding and contribute to other mission-critical tasks as directed by the Lead Scientist.Requirements: Qualifications: • Bachelor's degree in Marine Science or Engineering or related. A master’s degree is preferred., • Minimum 2-3 years of data analysis experience. Strong preference for applicants with prior experience in the field of satellite, radar, or remote sensing., • Experience developing data processing and analysis using programming languages such as Python, FORTRAN, JavaScript, Perl, shell script, and MATLAB., • Must have programming skills with at least one of the following languages:, • MATLAB, • Pyton, • FORTRAN, • IDL, • Perl/Shell Scripting, • Knowledge of common earth science data formats, metadata, and applications., • Familiarity with Cloud platforms such as AWS and Azure., • Excellent communication skills with the ability to translate technical requirements to non-technical audiences. If you are a motivated individual with a passion for continuing your work with NOAA, we want to hear from you! @Orchard is an equal opportunity employer. We encourage all qualified candidates to apply, regardless of race, gender, age, disability, or other protected characteristics. To learn more about our other exciting opportunities, visit our Jobs Page at www.atorchard.com.

Job DescriptionDescription: @Orchard LLC is seeking an experienced Lead Scientist to support a highly visible NOAA Satellite Applications and Research program. The ideal candidate will have experience supporting ocean and coastal water remote sensing satellite observation projects. This position is contingent upon contract award. Key Responsibilities: • Develop new products to support research in collaboration with the science teams., • Maintain and troubleshoot data management and services to ensure uninterrupted access to data portals and servers., • Effectively utilize Artificial Intelligence tools to optimize processes and operations., • Support timely updates to processes, product availability, and quality monitoring metrics of products., • Ensure uninterrupted availability of portals, websites, and services related to data systems., • Provide necessary notifications to users on product updates and features., • Support any duties related to assurance work plans and communications., • Contribute to publications, posters, and presentations on products and services, including training., • Oversee help desk support for products and services.Requirements: Qualifications: • Master’s degree in the field of Marine Science/Marine Biology or Oceanography (or related). Prefer a PhD or advanced degree., • Minimum 5 years of data analysis experience related to ocean remote sensing., • Experience with scientific programming languages such as Python, FORTRAN, JavaScript, Perl, shell script, and MATLAB., • Experience working with environmental satellite data and related product development activities., • Strong familiarity with ocean and coastal water remote sensing satellite observation., • Cloud computing and platform experience is required, such as AWS and Azure., • Prefer experience supporting/leading NOAA Satellite programs, particularly CoastWatch, PolarWatch, or OceanWatch programs., • Experience with observations and ocean information products, such as Low Earth Orbit or Geostationary Orbit missions., • Strong preference for applicants with prior experience dealing with data related to sea surface temperature and ocean surface vector., • Knowledge of common earth science data formats, metadata, and applications., • Excellent communication skills with the ability to translate technical requirements to non-technical audiences. If you are a motivated individual with a passion for continuing your work with NOAA, we want to hear from you! @Orchard is an equal opportunity employer. We encourage all qualified candidates to apply, regardless of race, gender, age, disability, or other protected characteristics. To learn more about our other exciting opportunities, visit our Jobs Page at www.atorchard.com.

Job DescriptionDescription: @Orchard LLC is seeking an experienced Lead Scientist to support a highly visible NOAA Satellite Applications and Research program. The ideal candidate will have experience supporting ocean and coastal water remote sensing satellite observation projects. This position is contingent upon contract award. Key Responsibilities: • Identify and support new product activities., • Actively pursuing opportunities for new products and collaborations with Line/Regional Offices., • Plan and prioritize project activities., • Provide resource recommendations based on priorities., • Contribute to peer-reviewed publications, posters, and presentations on products, applications, tools, and services, including training and data distribution., • Effectively utilize Artificial Intelligence tools to optimize processes and operations., • Lead training activities related to new products and features., • Support any duties related to scientific collaboration and coordination to achieve program goals.Requirements: Qualifications: • Master’s degree in the field of Marine Science/Marine Biology or Oceanography (or related). Prefer PhD or advanced degree., • Minimum 5 years of data analysis and program support experience related to ocean remote sensing programs., • Experience with scientific programming languages such as Python, FORTRAN, JavaScript, Perl, shell script, and MATLAB., • Experience working with environmental satellite data and related product development activities., • Strong familiarity with ocean and coastal water remote sensing satellite observation., • Cloud computing and platform experience is required, such as AWS and Azure., • Prefer experience supporting/leading NOAA Satellite programs, particularly CoastWatch, PolarWatch, or OceanWatch programs., • Strong familiarity with ocean and coastal water remote sensing satellite observation., • Knowledge of environmental satellite data and related products., • Excellent presentation and stakeholder engagement/communication skills., • Strong communication skills with the ability to communicate to scientific and non-scientific audiences. If you are a motivated individual with a passion for continuing your work with NOAA, we want to hear from you! @Orchard is an equal opportunity employer. We encourage all qualified candidates to apply, regardless of race, gender, age, disability, or other protected characteristics. To learn more about our other exciting opportunities, visit our Jobs Page at www.atorchard.com.

Element 84 is a woman-owned small business that works with public, private, and non-profit sector clients to develop geospatial data processing pipelines & build software that helps answer big questions about our health, our infrastructure, and our changing planet. We solve challenging problems across a wide range of industries, but our super power is cloud-based geospatial data processing, remote sensing, and Earth science systems. Our headquarters is located in Alexandria, VA and we have a satellite office in Philadelphia, PA. Element 84 also supports a large remote workforce from a variety of other states. Element 84's values are: We Invest in Each Other, We are Reliable, and Our Work Benefits our World. Element 84 works on meaningful projects that are challenging—from a technical, people, and team perspective. We make an impact on large projects through our leadership and expertise, both formal and informal. Element 84 values life outside of work. We offer parental leave for everyone and support each other through family challenges like medical problems, adoptions, and new babies. Element 84 has had a flexible work schedule since our founding in 2010. Element 84 is committed to fostering a culture of curiosity and respect for all individuals as we constantly strive to create a work environment where everyone feels welcome and supported. You are curious about the world, are constantly learning, driven to lead (formally or informally), and have a strong work ethic. You're interested in solving impactful problems in science, medicine, and other projects that have a societal good. You can work independently or with a team, prioritize your projects, and be effective without micromanagement. You'll care about writing. Our team is remote and written communication is essential. In addition to caring about a well-crafted email and a succinct conference abstract, you understand that good writing is good design and engineering. As an AI Systems Engineer, you will design and build the multi-agent systems that power NASA's Text-to-Spaceship initiative, an AI pipeline that converts natural language mission requirements into validated spacecraft component designs. You won't just be "calling an API"; you will be architecting and building autonomous agentic workflows that orchestrate heterogeneous AI techniques (LLMs, reinforcement learning, RAG, uncertainty quantification), building integrations with engineering tools (CAD, FEA, CAM), and deploying scalable infrastructure on AWS. Your goal is to turn science objectives into manufacturable hardware designs through reliable, AI-driven automation. As our AI Domain Expert, you will bridge the gap between generative AI and physical reality. You will be responsible for ensuring that our text-to-spaceship pipeline generates physically viable, safe, and manufacturable spacecraft components. You will translate complex physics, NASA standards, and aerospace load cases into programmatic guardrails for our multi-agent systems, ensuring our AI generates structurally sound flight hardware. Physics-Informed AI Constraints: Translate physical constraints (mass, thermal envelopes, radiation shielding, vibro-acoustics) and mechanical properties into prompt contexts, structured outputs, and agent guardrails. Automated CAE & FEA Workflows: Design and implement programmatic workflows for Finite Element Analysis (FEA) and computational fluid dynamics (CFD) that the AI agents can autonomously trigger to validate their own designs. Domain Validation & Ground Truth: Serve as the human-in-the-loop expert to vet AI-generated structural designs, identifying edge cases, hallucinated physics, or impractical geometries, and using those insights to improve the agentic evaluation framework. Multi-Agent Architecture: Design and implement agentic frameworks where a lead orchestrator agent coordinates specialized agents (optical design, structural, harnessing, analysis, reporting) across complex, multi-step engineering workflows. Natural Language to Engineering Output: Build pipelines that convert natural language mission requirements into structured specifications (text → JSON) and implement RAG pipelines for engineering knowledge retrieval. Tool Integration: Connect AI agents to external engineering tools (CAD, FEA, CAM software) via MCP and custom API integrations, enabling agents to drive design, analysis, and manufacturing workflows. Cloud Infrastructure: Deploy and scale AI workloads across cloud providers (AWS, GCP, Azure) using containerized architectures. Apply cloud security best practices for government data. Evaluation & Observability: Build evaluation frameworks for agentic applications — measuring agent performance, design quality, and pipeline reliability across multi-step autonomous workflows. Mechanical & Aerospace Engineering Fundamentals Aerospace or Manufacturing Experience: 2+ years working as a software engineer within the aerospace, defense, space, or similar manufacturing sectors, with a strong understanding of the hardware engineering lifecycle and launch and spaceflight environment. CAD/CAE Automation: Hands-on experience with the scripting APIs of industry-standard engineering tools (e.g., Python APIs for Autodesk Fusion 360, ANSYS, NASTRAN, or SolidWorks). Materials Science: Familiarity with aerospace-grade materials (titanium, aluminum alloys, carbon fiber composites) and how their properties dictate design limits. Engineering Standards: Ability to interpret and programmatically apply GD&T (Geometric Dimensioning and Tolerancing) and NASA/aerospace engineering standards. Cloud & Infrastructure AWS: Experience with AWS services and architecture. Familiarity with other cloud providers (GCP, Azure) is a plus. Software Engineering Language: Real-world experience with Python. Secondary proficiency in TypeScript is a plus. API & Systems Design: Strong grasp of API design, containerization, and connecting heterogeneous tools and data formats into automated pipelines. Infrastructure as Code: Experience with IaC tools and reproducible cloud deployments. AI & Agentic Systems LLM Fundamentals: Deep understanding of how large language models work — context windows, structured output, prompt engineering, and model selection trade-offs. Evaluation: Ability to design and implement evaluation strategies for complex LLM workflows, measuring correctness, reliability, and performance of multi-step autonomous systems. Agentic Patterns: Experience building agents with agentic libraries like Pydantic AI. Tool Integration: Expertise in the Model Context Protocol (MCP) or equivalent approaches for connecting AI agents to external APIs, databases, and domain-specific tools. Experience with ML techniques beyond LLMs (e.g., reinforcement learning, uncertainty quantification, reduced-order models) applied to design optimization or engineering problems. Contributions to open-source AI libraries or a portfolio of deployed LLM applications. Paying attention to who we are as a company–people, family members, friends, and colleagues–is our primary focus at Element 84. There are lots of ways to run a company, and, for us, we prioritize wanting to come to work, being around people we enjoy, taking on big things with people you trust, and sharing our achievements as a team. You’ll get credit when things go right and we’ll have your back when things go wrong. We only take on work that is challenging and right for us. There are projects we will turn down and the team has a say. We may be a small company, but we have big company benefits meant to support the idea that we're here for the long term and happiness comes from much more than where you work. We have an extraordinary retention rate because we hire extraordinary people. We hope that’s you. Estimated Range: The salary for this position is estimated to be $156,500 – $189,000. The final salary offer will be dependent on the candidate's specific experience level, technical proficiency, and alignment with the requirements of the role. Candidates may be below the range to begin and enter into the range after strong performance is demonstrated. This is a full time, salaried position. Please submit your information, resume and cover letter if you are interested. Remote candidates are encouraged, but your home office must be less than 100 miles from either Element 84’s Alexandria, VA or Philadelphia, PA hub. Benefits Offered Competitive medical, dental and vision benefits Life Insurance, Short & Long Term disability insurance Voluntary Accident, Critical Illness & Hospital Insurance 401(k) and Roth 401(k) retirement plans with a fixed 3% of salary employer contributions (paid regardless of employee participation) Health savings account with a company contribution Flexible spending accounts (medical, dependent care and transportation) Company-paid parental leave after one year of employment Flexible work schedules Paid employee assistance program 6 paid floating holidays 4 weeks + 1 day paid Vacation Time Off per calendar year (prorated first year) 40 hours paid Sick Leave Cell phone stipend Element 84 is an equal opportunity employer.

In today's digital age, instant information is the norm. But this transparency disappears when it comes to consumer products, and their ethical and sustainable production through supply chains. Addressing the global climate challenge and safeguarding both humanity and the planet requires a transformation in food systems. This is why we built OpenSC. Co-founded by WWF and The Boston Consulting Group, OpenSC is on a mission to revolutionize the way we buy and produce products by providing data on transparency and traceability for supply chains. We deliver social and environmental impact by providing supply chain transparency that empowers brands to know, influence, and prove (to third parties) the sustainability of their supply chain practices. This is achieved through the OpenSC platform, which leverages AI, Blockchain and Remote Sensing technologies to enable automated ingestion, analysis, and sharing of a supply chain's data. Drive an innovative product idea that directly impact customers by developing and optimising the platform and creating a smooth and pleasant end-user experience for our customers. Collaborate on designing, developing, and scaling the OpenSC platform, driving its global rollout across diverse supply chains. Contribute to a future-ready and high-quality performance code base, working on technical solutions and product ideas in close cooperation with other developers, data engineers and product managers. Design and build secure, scalable, and reliable frontend features based on primarily Plotly Dash (Python) and web apps in React.js to enhance the user experience. Promote agile and software best practices and develop effective solutions to real-world challenges in collaboration with the platform team. Take end-to-end ownership over what you build and focus on qualities such as testing, security, stability, scalability and operability. Foster good agile practices that provide a foundation for iterative product development and build valid solutions to real-world problems. Our tech stack: We are cloud-native company and leverage AWS cloud and its services (e.g. EKS, EC2, RDS, SQS/SNS, Lambda, S3, etc.). Our APIs are historically built with Spring Boot (Kotlin), but we are looking to become Python-first in our tech stack. Our data pipelines are orchestrated by Dagster (Python) with data stored in S3 and Postgres, and transformations written using dbt. We build frontend applications in Plotly Dash (Python) and web apps in React.js. We deploy our code using CircleCI and Github Actions and use terraform for infrastructure deployment. Our blockchain component is developed with Node.js and integrates third-party services such as IPFS and Ethereum. Strong focus on product development while maintaining a balance between user-centric perspectives and broader organisational needs. Proficiency in writing production-quality code using software engineering best practices (e.g. test-driven development, code reviews, design documentation, etc.) in modern Python-based web application frameworks. Experience in building web applications in Javascript/Typescript. Experience in building frontend applications with Plotly (Python). Proficiency in frontend concepts and paradigms, encompassing a deep understanding of modern frameworks, responsive design principles, user interface (UI) patterns, and best practices in web development. Ability to excel in fast-paced, dynamic environments, contributing to shaping an early-stage product in collaboration in a cross-functional environment with data engineers and product managers. Passion and desire to work on sustainability topics and ethical production within supply chains.

Location: SF or Waterloo, with ability to travel Start Date: Flexible, ideally Q3 2025 _ is building planetary superintelligence. Backed by top funds, we’ve raised $10M+ and are now heads down building. Join us at the cutting edge, where we’re scaling generative transformer diffusion models, designing next-gen benchmarks, and engineering foundation models that go far beyond LLMs. You’ll be at the core of a moonshot journey to define what’s next in agentic AI and frontier model capabilities. We are looking for an experienced Senior Machine Learning Engineer who is eager to advance the frontier of AI, help us design, build, and scale end-to-end novel foundation models, and leverage their hands-on experience implementing a wide range of pre-training and post-training models, including large foundation models (beyond just LLM fine-tuning). This role is focused on: Designing, implementing, and scaling state-of-the-art models Productionizing research codes, models and technologically complex systems Shaping benchmark design and model evaluation frameworks Building agentic AI capabilities and long-term technical bets Hum is a seed-funded startup on a mission to create positive impact through earth observation and AI. Founded at the University of Waterloo by a team of PhDs and engineers, we’re backed by some of the best AI and climate tech investors like HF0, Inovia Capital and Propeller Ventures, angels like James Tamplin (cofounder Firebase) and Sid Gorham (cofounder OpenTable, Granular), and partners like Amazon AWS and the United Nations. We’re building multimodal foundation models for the natural world. We believe there’s more to the world than the internet + more to intelligence than memorizing the internet. Our models are trained on satellite remote sensing and real world ground truth data, and are used by our customers in nature conservation, carbon dioxide removal, and government to protect and positively impact our increasingly changing world. Our ultimate goal is to build AGI of the natural world. The role will involve: Collaborating with researchers and scientists to implement, evaluate and scale proof-of-concept models. Owning, implementing and integrating the latest state-of-the-art methods and external open-source codes. Develop AI systems capable of accurately understanding the universe and generating new knowledge. Training multi-modal models supporting different sensor and other modalities like text Bachelor’s degree in computer science, engineering, a related field, or equivalent experience. 5+ years of relevant work experience. Prior experience building distributed training pipelines for multi-node systems using PyTorch and Ray. Experience training large diffusion or transformer models. Preferably on video or time series data. Proficiency with Python, Ray Trainer, PyTorch, and Anyscale framework. Familiarity with cloud platforms such as AWS, GCP, or Azure. Past training of video or time-series models Startup experience, comfortable with a small dynamic team. Location wise, strong preference for in-person in Waterloo or San Francisco however remote work is possible for exceptional candidates.

We anticipate hiring multiple people for this position and it is not required that you meet every criteria in this job description. Element 84 is a woman-owned small business that works with public, private, and non-profit sector clients to develop geospatial data processing pipelines & build software that helps answer big questions about our health, our infrastructure, and our changing planet. We solve challenging problems across a wide range of industries, but our super power is cloud-based geospatial data processing, remote sensing, and Earth science systems. Our headquarters is located in Alexandria, VA and we have a satellite office in Philadelphia, PA. Element 84 also supports a large remote workforce from a variety of other states. Element 84's values are: We Invest in Each Other, We are Reliable, and Our Work Benefits our World. Element 84 works on meaningful projects that are challenging—from a technical, people, and team perspective. We make an impact on large projects through our leadership and expertise, both formal and informal. Element 84 values life outside of work. We offer parental leave for everyone and support each other through family challenges like medical problems, adoptions, and new babies. Element 84 has had a flexible work schedule since our founding in 2010. Element 84 is committed to fostering a culture of curiosity and respect for all individuals as we constantly strive to create a work environment where everyone feels welcome and supported. You are curious about the world, are constantly learning, driven to lead (formally or informally), and have a strong work ethic. You're interested in solving impactful problems in science, medicine, and other projects that have a societal good. You can work independently or with a team, prioritize your projects, and be effective without micromanagement. You'll care about writing. Our team is remote and written communication is essential. In addition to caring about a well-crafted email and a succinct conference abstract, you understand that good writing is good design and engineering. Element 84 is seeking a highly-skilled and motivated Senior Software Engineer to join our team as we begin a new, multi-year, data-intensive application development project. You will be a key contributor to the design, implementation, and launch of a complex system that is global in scope and will be used by some of the largest companies in the world. An ideal candidate for this role is excited by the challenge of converting detailed specifications into robust, performant, and highly maintainable code, takes great pride in their craftsmanship, and is eager to take ownership of critical components. Participate in all aspects of the software development lifecycle from user story generation, through design, development, automated testing and operational support Improve quality by actively participating in code reviews and adhering to team quality standards Work alongside other engineers on the team to elevate technology and consistently apply best practices Own the execution of medium-to-large-sized features with higher-level technical support Describe and document the details of your work fluidly and accurately for technical peers and non-technical stakeholders Think holistically about the system and build with an eye towards long term maintainability and efficiency Collaboratively provide estimates and other input to the client, project managers designers, or others about features to help determine their feasibility, complexity, cost, and priority level Contribute to a culture of positivity, curiosity, and respect for all individuals Here are the guidelines we're looking at to gauge experience and skillset: Required Qualifications 5+ years of experience as a Software Engineer Experience building back-end systems that are scalable, secure, and well-architected Experience with a major cloud provider (AWS, Azure, or GCP) Proficiency in troubleshooting software issues and debugging a large codebase Ability to work as a member of a team using the Scrum methodology Firm commitment to and experience with automated testing and continuous integration Proponent of continuous improvement and willing to bring new ideas to the team Outstanding all-round communication skills and ability to work collaboratively and proficiently in a remote environment Energetic, self-motivated, team player Bachelor's Degree in a technical major, such as Computer Science or Engineering (will consider equivalent professional experience in lieu of degree) This position requires that applicants be authorized to work in the United States without sponsorship now or at any time in the future, and be able to pass a general background check. Preferred Qualifications Experience with high-throughput, distributed, event-driven systems Interest in data engineering, database administration, data warehousing, etc. Experience building and deploying containerized applications and working in a multi-container development environment Experience implementing authz/authn Full-stack exposure or experience Paying attention to who we are as a company–people, family members, friends, and colleagues–is our primary focus at Element 84. There are lots of ways to run a company, and, for us, we prioritize wanting to come to work, being around people we enjoy, taking on big things with people you trust, and sharing our achievements as a team. You’ll get credit when things go right and we’ll have your back when things go wrong. We only take on work that is challenging and right for us. There are projects we will turn down and the team has a say. We may be a small company, but we have big company benefits meant to support the idea that we're here for the long term and happiness comes from much more than where you work. We have an extraordinary retention rate because we hire extraordinary people. We hope that’s you. The salary range for this position is $130,000 - $172,000. Actual compensation offered to candidate will be finalized at offer and may be above or below the posted range due to skill level, experience, industry-specific knowledge, education/certifications, or geographic location. Base salary represents just one component of the Element 84 total compensation package. Employees will also receive a number of benefits as listed below. Other compensation for this position may include bonus eligibility (dependent on employee performance and company profits). This is a full time, salaried position. Please submit your information, resume and cover letter if you are interested. Remote candidates are encouraged, but your home office must be less than 100 miles from either Element 84’s Alexandria, VA or Philadelphia, PA hub. Benefits Offered Competitive medical, dental and vision benefits Life Insurance, Short & Long Term disability insurance Voluntary Accident, Critical Illness & Hospital Insurance 401(k) and Roth 401(k) retirement plans with a fixed 3% of salary employer contributions (paid regardless of employee participation) Health savings account with a company contribution Flexible spending accounts (medical, dependent care and transportation) Company-paid parental leave after one year of employment Flexible work schedules Paid employee assistance program 6 paid floating holidays 4 weeks + 1 day paid Vacation Time Off per calendar year (prorated first year) 40 hours paid Sick Leave Cell phone stipend Element 84 is an equal opportunity employer.

In today's digital age, instant information is the norm. But this transparency disappears when it comes to consumer products, and their ethical and sustainable production through supply chains. Addressing the global climate challenge and safeguarding both humanity and the planet requires a transformation in food systems. This is why we built OpenSC. Co-founded by WWF and The Boston Consulting Group, OpenSC is on a mission to revolutionise the way we buy and produce products by providing data on transparency and traceability for supply chains. We deliver social and environmental impact by providing supply chain transparency that empowers brands to know, influence, and prove (to third parties) the sustainability of their supply chain practices. This is achieved through the OpenSC platform, which leverages AI, Blockchain and Remote Sensing technologies to enable automated ingestion, analysis, and sharing of a supply chain's data. • Drive innovative solutions that empower internal teams by providing tools, support and automations, working closely with other developers and product managers., • Collaborate on designing, developing, and scaling the OpenSC platform, driving its global rollout across diverse supply chains., • Lead initiatives to strengthen security across the entire development environment., • Focus on automating infrastructure to accelerate product development and delivery., • Promote agile and software best practices and develop effective solutions to real-world challenges in collaboration with the platform team.Our tech stack:, • We are cloud-native company and leverage AWS cloud and its services (e.g. EKS, EC2, RDS, SQS/SNS, Lambda, S3, etc.)., • Our APIs are historically built with Spring Boot (Kotlin), but we are looking to become Python-first in our tech stack., • Our data pipelines are orchestrated by Dagster (Python) with data stored in S3 and Postgres, and transformations written using dbt., • We build frontend applications in Plotly Dash (Python) and web apps in React.js., • We deploy our code using CircleCI and Github Actions and use terraform for infrastructure deployment., • Our blockchain component is developed with Node.js and integrates third-party services such as IPFS and Ethereum., • Passion and desire to work on sustainability topics and ethical production within supply chains., • Ability to excel in fast-paced, dynamic environments, contributing to designing and evolving the platform in collaboration with other engineers and product managers., • Expertise in backend software architecture and distributed systems design principles., • Expertise in cloud technologies (e.g. AWS, GCP/Azure), including proficiency with cloud services such as storage, compute, networking, monitoring, and more., • Experience in infrastructure-as-code (IaC) tools such as Terraform or AWS CloudFormation., • Experience in applying security best practices and frameworks, with a focus on safeguarding systems, data, and infrastructure through robust security measures., • Excellent knowledge of software engineering best practices (e.g. test-driven development, code reviews, design documentation, etc.), • Experience with Spring Boot/Kotlin, Node.js, React.js, and data pipelines is advantageous.

About Us: Zeitview is the leading intelligent aerial imaging company for high-value infrastructure, providing businesses with actionable, real-time insights to recover revenue, reduce risk and improve build quality. We serve customers in the solar, wind, insurance, construction, real estate, and critical infrastructure industries. Trusted by the largest enterprises in the world, Zeitview is active in over 70 countries. Our mission is to accelerate the global transition to renewable energy and sustainable infrastructure through advanced inspection solutions. Take a look at our latest achievements _! This role in one paragraph: Build the core product that serves every Zeitview vertical. You will build and ship Zeitview's primary enterprise platform, Asset Insights. You receive problem definitions and prioritized requirements from our vertical product leads: PMs who sit with customers in solar, wind, utilities, oil & gas, and commercial properties, and you turn those into working software. You partner with engineering leads to shape technical approach, manage cross-stage dependencies across the inspection pipeline (capture → analysis → delivery), and deliver complex programs at quality. Product vision and strategy are set by the Head of Product and VPs of Product; your job is to contribute technical judgment and then execute. What you'll actually do in the first 6 months: • Evaluate where generative AI, LLM, or agent-based capabilities should replace or augment existing platform workflows, and where they shouldn't, • Negotiate scope trade-offs between multiple vertical PMs competing for the same engineering capacity, and make those trade-offs legible to leadership, • Own the backlog for one or more pipeline stages in Asset Insights (e.g., analysis, analytics, action), writing epics and stories that engineering can pick up without a follow-up meeting, • Work side-by-side with operations teams who run inspections and deliver reports, identifying where product investment eliminates manual steps, • Inherit and improve the interface contracts between pipeline stages so that a change in capture doesn't break delivery, • Stand up or refine measurement frameworks for your product areas, defining what "working" means before you ship, not after This role is NOT: • A customer-facing strategy role. You will not own client relationships, run sales calls, or set vertical go-to-market strategy. If that's what you're looking for, see our Senior Product Manager - Vertical posting., • A greenfield vision role. You are executing against an existing product strategy, contributing to its evolution with technical insight, not defining it from scratch., • A people management role. You will informally guide other team members and coordinate across functions, but you will not have direct reports. Requirements: • Bachelor's degree (or higher) in a science, technology, or related field, or equivalent experience, • 8+ years of professional experience, with 5+ years in product management, • You have built and shipped enterprise B2B SaaS products. Not just managed a backlog, but made architectural and scoping decisions that affected whether the product worked at scale, • You have hands-on experience with AI/ML-powered product capabilities: generative AI, LLMs, agent-based systems, or comparable. You can evaluate an AI feature's readiness for production, not just pitch one., • You can hold your own in technical design discussions with engineering leads. You've shaped system architecture, evaluated build-vs-buy trade-offs, and ensured prototype-to-production paths are viable, • You have delivered complex, ambiguous programs across multiple teams where no single person had full authority, coordinating through influence, clarity, and follow-through, • You can write a product requirement that an engineer reads once and builds from. Your specs reduce ambiguity rather than create it., • You are fluent in quantitative reasoning: you've built measurement frameworks, designed experiments, and made judgment calls when the data was incomplete Strongly preferred: These will move you to the top: • Experience working with operational or service delivery teams. You understand that the product doesn't end at the UI, • Product management or domain experience in solar, wind, utilities, oil & gas, or commercial properties, • Experience with geospatial data pipelines, remote sensing, or inspection/asset management platforms, • Experience designing evaluation frameworks for non-deterministic AI outputs, • Experience with drone or remote piloted system workflows, • Experience in mobile application development What’s Included: • Feel great about your work as you join a leading mission-driven intelligent aerial imaging company - our goal is to accelerate the global transition to renewable energy and sustainable infrastructure, and you personally will play a large part in making this happen!, • Competitive base salary, annual bonus and stock options, • Your choice of multiple medical insurance plans, including options with an HSA and 100% coverage of the premium for yourself and your dependents, • Unlimited PTO: We mean it when we say we prioritize work-life balance and mental health, • Autonomy and upward mobility, • Diverse, equitable, and inclusive culture: a place where your voice matters This role has a base salary range of $160,000 - $180,000 USD, plus a target annual bonus and eligibility for stock options. Actual compensation may vary based on experience, skills, and location within USA. Zeitview is proud to be an equal opportunity employer. At Zeitview, we believe in cultivating an environment where our team members can bring their authentic, whole selves to work. Encouraging identity and belonging is one of the many aspects of our culture that makes us stronger as an organization and drives innovation. We are committed to building and delivering a diverse, inclusive, and equitable workforce that includes age, color, sex, disability, national origin, race, religion or veteran status, that is representative of the world around us, where all individuals are treated with respect and dignity - and to act swiftly if this value is ever threatened. We are constantly striving to be better, and we continue to take strategic steps to advance representation. We also provide reasonable accommodation for qualified individuals with disabilities and for seriously held religious beliefs in accordance with applicable law.

Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles. Empowering the world starts with living _ and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office. This is a remote US role with a preference for candidates based in San Francisco, San Diego, or Boston. We have offices in San Francisco and San Diego for those who prefer hybrid or office settings. Oura employees in other major cities (like Boston and New York) occasionally gather informally at local co-working locations. We are seeking a highly experienced and driven Senior Machine Learning Data Scientist to join our Women's Health team. You will play a pivotal role in developing and commercializing cutting-edge machine learning models and algorithms, leveraging wearable health data to improve women's health outcomes. You will lead complex projects, mentor junior team members, and contribute significantly to the strategic direction of our technology.. What you will do: • Contribute to the development and deployment of advanced machine learning pipelines and models for innovative Women's Health features, focusing on time-series analysis and robust validation., • Drive the commercialization of machine learning models and algorithms, collaborating closely with cross-functional teams including scientists, product managers, software developers, product designers and test engineers., • Design and execute rigorous statistical analyses for model performance evaluation, monitoring, and generating actionable insights to inform strategic product decisions., • Conduct in-depth exploratory research to identify and characterize novel health sensing features, translating proof-of-concept ideas into scalable, commercialized products., • Contribute to the development of best practices for machine learning within the Women's Health team., • Present and communicate complex technical concepts to diverse audiences. This is a remote US role with a preference for candidates based in San Francisco, San Diego, or Boston. Requirements • PhD in Biomedical Engineering, Electrical Engineering, Biostatistics, Computer Science, or a related field. And 3+ years of industry experience in machine learning and data science., • 5+ years of advanced programming experience in Python and SQL., • Extensive experience with a wide range of machine learning and statistical modeling techniques, including deep learning, time-series analysis, and signal processing., • Demonstrated experience in the full lifecycle of developing and commercializing machine learning models and algorithms., • Excellent communication skills, and the ability to articulate complex technical concepts to both technical and non-technical audiences., • Self-driven, motivated, have a pragmatic can-do attitude and delivery-focused mindset: you can move quickly and prioritize effectively., • Strong domain knowledge in Women's Health and experience with health data from wearables are significant plusses. Benefits At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health. What we offer: • Competitive salary and equity packages, • Health, dental, vision insurance, and mental health resources, • An Oura Ring of your own plus employee discounts for friends & family, • 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off, • Paid sick leave and parental leave Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future. • Region 1 $172,000 - $203,000, • Region 2 $158,000 - $187,000, • Region 3 $147,000 - $174,000 A recruiter can determine your zones/tiers based on your US location. We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Missouri (MO), Nebraska (NE), South Dakota (SD), West Virginia (WV), and Wisconsin (WI) Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics. We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Disclaimer: Beware of fake job offers! We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note: • Our jobs are listed only on the ŌURA Careers page and trusted job boards., • We will never ask for personal information like ID or payment for equipment upfront., • Official offers are sent through Docusign after a verbal offer, not via text or email. Stay cautious and protect your personal details. To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.

About Us: Zeitview is the leading intelligent aerial imaging company for high-value infrastructure, providing businesses with actionable, real-time insights to recover revenue, reduce risk and improve build quality. We serve customers in the solar, wind, insurance, construction, real estate, and critical infrastructure industries. Trusted by the largest enterprises in the world, Zeitview is active in over 70 countries. Our mission is to accelerate the global transition to renewable energy and sustainable infrastructure through advanced inspection solutions. Take a look at our latest achievements _! This role in one paragraph: Be the voice of the customer for an entire industry at Zeitview. You will be Zeitview's resident expert for one of our target verticals -- solar, wind, electric utilities, oil & gas, or commercial properties. You own problem definition: understanding what enterprise customers in your vertical actually need, why they need it, and what it's worth. You run discovery, build client relationships alongside sales, synthesize market signals, and translate all of that into clear, prioritized requirements that our platform product managers and engineering teams can execute against. You are responsible for competitive intel and defining metrics to demonstrate the success of the product and strategies. You should be growth focused. You will not just iterate on our existing product/service offerings but propose business cases and GTM for expanding our offerings. You do not own the product backlog or ship software directly, you own the "what" and "why," then work with solutions-side PMs to negotiate the "how" and "when." What you'll actually do in the first 6 months: • Define what "success" looks like for your vertical in terms that connect to revenue, retention, and customer outcomes, not just feature delivery, • Embed with 3–5 strategic accounts in your vertical. Not to sell, but to understand their inspection workflows, pain points, and decision-making structures deeply enough to write requirements they'd recognize as their own, • Run structured discovery across a mix of methods (customer interviews, operational ride-alongs, competitive analysis, usage data) and synthesize findings into a prioritized problem set for your vertical, • Negotiate with platform PMs over engineering capacity, making the case for your vertical's priorities with data and customer evidence, not volume, • Write requirements that hold up under engineering scrutiny: specific enough to build from, flexible enough to serve platform-wide, • Build internal credibility as the person who knows your industry better than anyone else in the building This role is NOT: • A platform-building role. You will not own a product backlog, write technical specs, or ship software with engineers day-to-day. If that's what you're looking for, see our Senior Product Manager - Asset Insights posting., • A pure strategy role, with no customer contact. You will be on calls with enterprise clients regularly. You will travel to sites. You will see the physical infrastructure your product serves., • A people management role. You will coordinate across functions and informally guide others, but you will not have direct reports. Requirements: • Bachelor's degree (or higher) in a science, technology, or related field, or equivalent work experience, • 8+ years of professional experience, with 5+ years in product management, solutions consulting, technical sales, or a comparable customer-facing role in enterprise software, • Deep domain expertise in at least one of: solar energy, wind energy, commercial properties, and in particular electric utilities, oil & gas. "Deep" means you can walk onto a customer site and understand what you're looking at: the assets, the inspection workflows, the regulatory context, and the business model. Candidates without direct industry experience will not be considered., • You have a track record of building trusted relationships with enterprise customers and converting those relationships into product insight, not just feature requests, but an understanding of underlying needs, • You can run structured discovery and synthesize qualitative and quantitative inputs into a prioritized problem set that other teams can act on, • You have commercial acumen: you understand how product decisions connect to pipeline, deal size, retention, and competitive positioning in your vertical, • Exceptional communication skills. You can present to a customer's VP of Asset Management on Monday and translate that conversation into a product brief for solutions PMs and Engineering on Tuesday, • Willingness to travel to customer sites and inspection locations Strongly preferred: These will move you to the top: • Direct industry experience. You've worked in the industry, not just sold to it, • Experience working with operational or service delivery teams (field inspection, drone operations, or similar), • Experience with geospatial data, remote sensing, or asset management platforms, • Familiarity with AI/ML-powered products, enough to assess where these capabilities address real vertical problems vs. where they're a distraction, • Experience with go-to-market strategy: product launches, positioning, pricing, or vertical-specific marketing, • Experience in mobile application development What’s Included: • Feel great about your work as you join a leading mission-driven intelligent aerial imaging company - our goal is to accelerate the global transition to renewable energy and sustainable infrastructure, and you personally will play a large part in making this happen!, • Competitive base salary, annual bonus and stock options, • Your choice of multiple medical insurance plans, including options with an HSA and 100% coverage of the premium for yourself and your dependents, • Unlimited PTO: We mean it when we say we prioritize work-life balance and mental health, • Autonomy and upward mobility, • Diverse, equitable, and inclusive culture: a place where your voice matters This role has a base salary range of $160,000 - $180,000 USD, plus a target annual bonus and eligibility for stock options. Actual compensation may vary based on experience, skills, and location within USA. Zeitview is proud to be an equal opportunity employer. At Zeitview, we believe in cultivating an environment where our team members can bring their authentic, whole selves to work. Encouraging identity and belonging is one of the many aspects of our culture that makes us stronger as an organization and drives innovation. We are committed to building and delivering a diverse, inclusive, and equitable workforce that includes age, color, sex, disability, national origin, race, religion or veteran status, that is representative of the world around us, where all individuals are treated with respect and dignity - and to act swiftly if this value is ever threatened. We are constantly striving to be better, and we continue to take strategic steps to advance representation. We also provide reasonable accommodation for qualified individuals with disabilities and for seriously held religious beliefs in accordance with applicable law.

About Nearmap Property intelligence is reshaping how the world understands the built environment, and Nearmap is driving that. We put powerful aerial imagery, AI-driven analytics, and geospatial tools into the hands of the people who plan, build, insure, and govern the places we all live and work. Our technology turns property uncertainty into decisive action, and our culture brings out the best in the people who build it. We move fast, we care about craft, and we're proud of what we're building. If you're energized by turning hard problems into real-world impact, we'd love to meet you. About the Role Location: Fully remote within the continental United States. Solutions Product Manager, Government supports the development and growth of Nearmap’s product solutions across Government use cases. This role assists in understanding customer needs, researching market opportunities, monitoring competitors, and helping define product requirements that create value for customers and align with company strategy. Working closely with senior product leaders, the Solutions Product Manager contributes to new solution development and the optimization of existing offerings. They partner with sales, engineering, and marketing to ensure product initiatives are well-defined, deliver measurable customer impact, and support Nearmap’s growth objectives. This role emphasizes hands-on execution - gathering insights, writing clear requirements, managing delivery priorities, and tracking performance, while building domain expertise in geospatial technology and location intelligence. Key Responsibilities Play the essential role of Product Owner for the delivery stream: • Assist senior product managers in defining product requirements and priorities for Government solutions., • Translate customer and business needs into clear, actionable user requirements and acceptance criteria for technical delivery teams., • Monitor existing product metrics and provide insights to the greater product org., • Analyze calls and other signals to provide insight to the greater org., • Participate in backlog grooming, priority refinement, and requirements alignment with the technical delivery team. Be the domain expert, providing support and educating stakeholders: • Develop and maintain deep domain expertise across diverse use cases in government, with comprehensive knowledge of customer workflows, use cases, and industry-specific challenges., • Bring authoritative understanding of critical application areas such as property assessment and management, land development, public safety, portfolio/asset management, and disaster response while rapidly building expertise in emerging new needs. Build and maintain highly effective relationships: • Regularly converse with Sales, Sales Engineering, and Customer Success to gather customer pain points and opportunities, and impediments to selling/upselling., • Regularly converse with customers to understand how Nearmap products are used and perceived, and opportunities to solve addition customer problems and upsell., • Communicate findings back to Nearmap stakeholders in a form that drives action and improvement., • Regularly converse with ecosystem partners, including technology platform providers, channel partners, analysts, media to boost Nearmap’s profile and presence., • Listen to sales and customer success calls on recording tools to gain understanding of customer concerns and needs. Compliance with Nearmap values, policies and standards, and ensure compliance with all local statutory requirements: • Complies with responsibilities of working for a public company., • Complies with all local legislative requirements., • Adheres to company guidelines and the corporate Code of Conduct., • Where appropriate keeps up to date with legislative requirements., • Acts in an ethical way when dealing with company assets and other people. Experience • 5-10+ years of experience in government or, ideally, a government geospatial office with experience in a project or product leadership role, • Experience with geospatial data and how it is used in government is extremely valuable., • Experience in government procurement and the relationships between local, state and federal entities is valuable., • Bachelor’s degree or equivalent practical experience. Skills • Ability to effectively write, validate, and quantify a business case in plain language quickly and thoroughly., • Geospatial technology, remote sensing, BIM, including familiarity with Esri, Autodesk, Bentley products., • Ability to write clear, and concise product requirements., • Proven track record of getting things done, managing multiple tasks including communication with internal and external teams whilst consistently delivering on schedule., • Ability to communicate clearly and effectively with in a cross-functional environment., • Ability to derive insights from diverse data sets. Personal Attributes • Excellent written, verbal and visual communication skills., • Strong commercial acumen, strategic thinker and revenue driven., • Excellent analytical and interpersonal skills, with ability to work successfully across all engineering disciplines. Why you'll love working at Nearmap: We move fast and work smart; often wearing multiple hats. We adapted to remote working with ease and are continually looking at ways to improve. We’re proud of our inclusive, supportive culture, and maintain a safe environment where everyone feels a sense of belonging and can be themselves. Nearmap offers: • In addition to flexible time off, Nearmap offers 4 extra "YOU" days off each year - take a break, no questions asked!, • Company-sponsored volunteering days to give back., • Generous parental leave policies for growing families., • Work from Overseas Policy - explore the world in the approved list of cities while you work!, • Discounted Private Health Insurance plans., • Monthly wellbeing and technology allowance., • A Nearmap subscription (naturally!). Learn More About The Work We Do: _ _ Thanks, but we got this! Nearmap does not accept unsolicited resumes from recruitment agencies and search firms. Please do not email or send unsolicited resumes to any Nearmap employee, location or address. Nearmap is not responsible for any fees related to unsolicited resumes.

Are you ready to take the helm in shaping the future of tactical mission autonomy, standing shoulder-to-shoulder with trailblazers who are turning cutting-edge dreams into tangible reality? As a vital member of the growing EpiSci team, your influence will be immediate and transformative as we propel towards a future where security and autonomy unite in unprecedented ways. EpiSci isn't just another company; we're a rapidly ascending force of innovation, forging ahead with next-gen tactical mission autonomy technologies that span defense, aerospace, and commercial domains. At our core, we wield the latest advancements in artificial intelligence, autonomy algorithms, wireless communications, and digital signal processing to surmount the most formidable national security challenges. Our Tactical AI prowess is nothing short of extraordinary, offering robustness, dependability, and a rapid adaptability that thrives on the frontlines of emerging missions and obstacles. Picture developing AI aviators for cutting-edge aircraft like the F-22 and F-16, revolutionizing wireless tactical communication systems, and fueling the skies with swarms of autonomous UAVs supercharged by sensor fusion. As a Microservices Software Engineer at EpiSci, your role is pivotal, entailing dynamic endeavors that encompass designing and actualizing architectures and systems across a spectrum of Tactical autonomy applications. Here, you won't just follow the norm; you'll be crafting groundbreaking, hybrid autonomous algorithms that redefine the boundaries of both commercial and defense applications. The challenge is profound and the rewards are immeasurable, as you build superior systems that empower our military with unrivaled capabilities. We understand and cherish the richness that diverse perspectives and backgrounds bring to the table. At EpiSci, we wholeheartedly invite every exceptional individual, regardless of their journey, to join our ranks and become a driving force behind the secure and autonomous world of tomorrow. Your future at EpiSci awaits—ignite your potential and let's redefine what's possible, together. Don't meet every single requirement? At EpiSci, we're committed to building a diverse, inclusive, and authentic workforce, so if you're excited about this role but your previous experience doesn't align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at EpiSci. \n Responsibilities • Create and integrate software microservices that operate real autonomous aircraft systems including F16 fighter jets, group 1-5 unmanned aerial vehicles (UAVs), as well as simulated models to accomplish tactical military missions., • Collaborate with autonomy engineers to implement production level microservice architectures to control autonomous UASs., • Establish and improve software testing and debugging tools for autonomy solutions implemented as service-oriented architectures., • Implement, leverage and refactor, and improve state-of-the-art unmanned aerial system (UAS) autonomy algorithms in programming languages for the following autonomy categories to perform tactical military missions:, • Autonomy loops such as: “Sense, Make Sense, Decide, Act (SMDA)”, “Observe, Orient, Decide, Act (OODA)” loops., “Perceive, Decide, Act’ (PDA)” loops., • Sense: Environment sensing and modeling, computer vision, sensor processing, classification, anomaly detection., • Make Sense: Environment mapping, data interpretation, 3D voxel grids, GeoGrids, WGS84, aerospace coordinate systems and reference frames (north east down (NED), Geocentri & Geodetic latitudes, Earth-centered-inertial (ECI), earth centered earth fixed (ECEF)), no fly zones, keep-in/keep-out zones. Sensor fusion and target tracking, etc. Find, fix, track, target (F2T2)., • Decide: State machines, behavior trees, optimization algorithms, constraint solving, classic algorithms (A, RRT, DFS, BFS, Branch & Bound, Random Forests), heuristics, optimization, Kalman filters, particle filters, etc. Artificial intelligence techniques such as deep reinforcement learning, reinforcement learning, machine learning, neural networks, supervised learning, unsupervised learning, generic algorithms, Bayesian networks, fuzzy logic, etc., • Act: Autonomous 2D & 3D UAS trajectory/motion planning, route planning, SLAM. Classical controls systems, optimal control systems, adaptive control systems, model predictive control systems, especially for integration of 3rd party UAS autopilots. Guidance, navigation, and controls (GNC)., • Build, leverage, and improve robotic autonomy software architectures that can be deployed on real systems to accomplish military missions (including publish/subscribe architectures)., • Design autonomy software in collaboration with autonomy engineers that supports full integration with aircraft autopilots, datalinks, sensors, PNT/GPS/INS, ground control stations, etc., • Support live flight test of autonomy software on aircraft such as F16s, and group 1-5 unmanned aerial vehicles (UAVs)., • Collaborate with 3rd party UAS vehicle vendors on the integration of EpiSci autonomy software onto OEM UAS hardware., • Collaborate with domain experts and prior DoD warfighters (ex. DoD fighter pilots) to build software autonomy solutions for military missions. Minimum Qualifications • Education Requirements:, • Master’s degree in computer science/related engineering field., • 6+ years of hands-on experience developing Python, and Rust software for autonomous robotic systems., • Technical Requirements:, • Experience in developing software for autonomous robotic systems in Python, and Rust, • Strong procedural and object-oriented programming experience that employs clean code principles and good design patterns., • Strong software architecture design experience., • Experience developing in Docker and containerized development environments, and using Linux-based operating systems (e.g., RHEL, Ubuntu)., • Experience using git, Visual Studio Code, GitLab, SonarQube, Azure Container registry., • Experience using microservice development and testing tools such as Kubernetes, Pytest, Grafana, Postman, and Hoverfly., • Experience with cross-language schema development and maintenance using tools such as Protobuf., • Additional Requirements:, • Passion for solving complex problems with little supervision in a fast-moving team., • Ability to balance multiple priorities in a fast-paced, highly collaborative, frequently changing, and sometimes ambiguous environment., • Excellent analytical, communication, and documentation skills with demonstrated ability to collaborate across multiple teams., • Travel Requirements, • Must be willing to travel as projects requires. Estimated average travel is once every other month for between 2 days up to 1 week. (~20%), • Location Requirements, • Remote., • Security Requirements, • (MANDATORY) Must be a U.S. Citizen., • (MANDATORY) Must be eligible for a U.S. SECRET security clearance with Special Access Program (SAP) eligibility. Preferred Qualifications • Education Requirements:, • Master’s degree in computer science/related engineering field., • 9+ years of experience developing software for autonomous robotic systems in multiple programming languages., • Technical Requirements:, • Familiarity with software-in-the-loop (SIL) and hardware-in-the-loop (HIL) development and testing., • High proficiency in modern C++ (2011, 2017, 2020, smart pointers, etc.) w/CMAKE in Docker-based Linux environments., • Familiarity with military architecture standards such as OMS UCI., • Experience creating and modifying CI/CD pipelines to automate developer tasks., • Experience working projects related to national security for one or more government agencies., • Interdisciplinary background, with evidence of continual learning., • Security Requirements, • (MANDATORY) Current U.S. SECRET security clearance with Special Access Program (SAP) eligibility. \n$100,000 - $190,000 a year\n EpiSci is proud to be an equal opportunity and affirmative action employer. We are committed to equal employment opportunity regardless of race, color, religion, sex, sexual orientation, age, marital status, disability, gender identity or Veteran status. We value our differences and we’re excited to learn what you can add to our team. Don't meet every single requirement? At EpiSci, we're committed to building a diverse, inclusive, and authentic workforce, so if you're excited about this role but your previous experience doesn't align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at EpiSci.

UP42 was founded in 2019 with a clear purpose: to transform how organizations order, access, and analyze Earth observation data. Our platform brings together the world’s leading geospatial providers, and offers a single touchpoint to access, manage, and process data at scale. From vegetation management and infrastructure monitoring to disaster response, UP42 helps organizations across industries find solutions to complex problems through Earth observation. Our expert support team and detailed documentation guide our users through every step. Since July 2025, UP42 has been a part of Neo Space Group. We are looking for a Sales Manager – North America (m/f/x) to join our Sales team to help organizations unlock the power of geospatial data. You will drive the adoption of our unique platform, which simplifies access to satellite, aerial, and drone imagery all in one place. This is an opportunity to own a territory and guide customers through complex digital transformations in a high-growth market. This is a fully remote position open to candidates residing anywhere in the United States. What you will do: Build and close commercial opportunities across your assigned territory to drive regional growth. Own the full sales cycle from initial discovery to closing expansion deals within existing accounts. Educate customers on how a unified platform and data ecosystem outperforms traditional transactional purchases. Qualify and progress a healthy pipeline by following structured sales standards like MEDDPICC. Act as the primary commercial contact while collaborating with Product, Pre-Sales, and Customer Success teams. Translate complex technical product capabilities into clear business outcomes for your clients. Maintain disciplined CRM hygiene to ensure accurate forecasting and transparent deal progression. Develop long-term enterprise strategies that evolve into larger strategic account responsibilities over time. Here is a good summary of what we are looking for: Proven B2B sales experience within SaaS, data, or technical infrastructure sectors Strong foundation in geospatial or remote sensing markets Demonstrated ability to build and manage a sales pipeline independently Skill in running discovery calls to identify budget ownership and decision makers Experience selling value and business outcomes rather than just features Comfort engaging with both technical stakeholders and business users Disciplined approach to CRM management and sales processes Proactive mindset with a high level of accountability for territory goals Bonus points if you bring: Experience selling API-based or platform-as-a-service products Mastery of structured methodologies like MEDDPICC, Challenger, or Sandler Background managing mid-market or emerging enterprise accounts Familiarity with complex data licensing and subscription models Success in navigating multi-stakeholder sales cycles Let us tell you why UP42 is a good choice: Let’s disrupt the industry: You get the chance to shape the state-of-the-art geospatial processing platform and create a completely new planetary perspective. Let’s win as a team: We’re an inspiring international team working in a fun and productive environment. Let’s be fair: We offer a competitive salary package and other perks such as wellbeing initiatives and educational budget for your personal development- just to name a few. Let’s think outside of the box: There are challenges and enough space for creativity and taking ownership. Does this sound like a good next step into your geospatial career? If so, we look forward to receiving your application in English. Our culture is one of belonging, where everyone feels welcome and where differences are celebrated. We seek to recruit the best talent regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background and/or belief—and strongly encourage people from underrepresented groups to apply. We also value more than the skills and experiences outlined in this job description. Even if you think you only fill 60% of the requirements for this role - we would still like to consider your application. Remote • United States, Colorado, United StatesBusiness Development Your application has been successfully submitted! _ We appreciate your interest in this position. Unfortunately, you have already applied for this job.

About Nearmap Property intelligence is reshaping how the world understands the built environment, and Nearmap is driving that. We put powerful aerial imagery, AI-driven analytics, and geospatial tools into the hands of the people who plan, build, insure, and govern the places we all live and work. Our technology turns property uncertainty into decisive action, and our culture brings out the best in the people who build it. We move fast, we care about craft, and we're proud of what we're building. If you're energized by turning hard problems into real-world impact, we'd love to meet you. About the Role Location: Remote within the continental United States Solution Product Manager, Commercial supports the development and growth of Nearmap’s product solutions across AEC, Solar, and other remote sensing use cases. This role assists in understanding customer needs, researching market opportunities, monitoring competitors, and helping define product requirements that create value for customers and align with company strategy. Working closely with senior product leaders, the Product Manager contributes to new solution development and the optimization of existing offerings. They partner with sales, engineering, and marketing to ensure product initiatives are well-defined, deliver measurable customer impact, and support Nearmap’s growth objectives. This role emphasizes hands-on execution—gathering insights, writing clear requirements, managing delivery priorities, and tracking performance, while building domain expertise in geospatial technology and location intelligence. Play the essential role of Product Owner for the delivery stream • Assist senior product managers in defining product requirements and priorities for AEC and solar solutions., • Translate customer and business needs into clear, actionable user requirements and acceptance criteria for technical delivery teams., • Monitor existing product metrics and provide insights to the greater product org., • Analyze calls and other signals to provide insight to the greater org., • Participate in backlog grooming, priority refinement, and requirements alignment with the technical delivery team. Be the domain expert, providing support and educating stakeholders • Develop and maintain deep domain expertise across diverse use cases in AEC, and Solar with comprehensive knowledge of customer workflows, use cases, and industry-specific challenges., • Bring authoritative understanding of critical application areas such as property assessment and management, land development, public safety, portfolio/asset management, and disaster response while rapidly building expertise in emerging new needs. Build and maintain highly effective relationships • Regularly converse with Sales, Sales Engineering, and Customer Success to gather customer pain points and opportunities, and impediments to selling/upselling., • Regularly converse with customers to understand how Nearmap products are used and perceived, and opportunities to solve addition customer problems and upsell., • Communicate findings back to Nearmap stakeholders in a form that drives action and improvement., • Regularly converse with ecosystem partners, including technology platform providers, channel partners, analysts, media to boost Nearmap’s profile and presence., • Listen to sales and customer success calls on recording tools to gain understanding of customer concerns and needs. Compliance with Nearmap values, policies and standards, and ensure compliance with all local statutory requirements • Complies with responsibilities of working for a public company., • Complies with all local legislative requirements., • Adheres to company guidelines and the corporate Code of Conduct., • Where appropriate keeps up to date with legislative requirements., • Acts in an ethical way when dealing with company assets and other people. Experience • 5-10+ years of experience in AEC with experience in a project or product leadership role, • Experience with geospatial data and how it is applied in AEC is extremely valuable., • Experience in the AEC use cases around projects workflow from pursuit to project completion. Skills • Ability to effectively write, validate, and quantify a business case in plain language quickly and thoroughly., • Geospatial technology, remote sensing, BIM, including familiarity with Esri, Autodesk, Bentley products., • Ability to write clear, and concise product requirements., • Proven track record of getting things done, managing multiple tasks including communication with internal and external teams whilst consistently delivering on schedule., • Ability to communicate clearly and effectively with in a cross-functional environment., • Ability to derive insights from diverse data sets. Personal Attributes • Excellent written, verbal, and visual communication skills., • Strong commercial acumen, strategic thinker, and revenue driven., • Excellent analytical and interpersonal skills, with ability to work successfully across all engineering disciplines. Education • Bachelor’s degree or equivalent practical experience. Why you'll love working at Nearmap: We move fast and work smart; often wearing multiple hats. We adapted to remote working with ease and are continually looking at ways to improve. We’re proud of our inclusive, supportive culture, and maintain a safe environment where everyone feels a sense of belonging and can be themselves. In addition to your annual leave, Nearmap offers: • 4 extra "YOU" days off each year—take a break, no questions asked!, • Company-sponsored volunteering days to give back., • Generous parental leave policies for growing families., • Work from Overseas Policy - explore the world in the approved list of cities while you work!, • Discounted Private Health Insurance plans., • Monthly wellbeing and technology allowance., • A Nearmap subscription (naturally!). Learn More About The Work We Do _ _ Thanks, but we got this! Nearmap does not accept unsolicited resumes from recruitment agencies and search firms. Please do not email or send unsolicited resumes to any Nearmap employee, location or address. Nearmap is not responsible for any fees related to unsolicited resumes.

Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles. Empowering the world starts with living _ and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office. We are seeking a Senior Product Manager – Heart Health to join our growing Health Sensing organization. Reporting to the Director of Product Management, Health Risk Detection, this role will focus on advancing Oura’s cardiovascular health experiences, from proactive monitoring to long-term heart health insights. You’ll join an established, cross-functional team dedicated to Heart Health. You’ll collaborate with Science, Design, Engineering, and Regulatory partners to accelerate our roadmap, deepen member value, and bring science-backed heart health features to life. This is a high-impact opportunity to help shape how millions of people understand and care for their cardiovascular health through wearable technology. • Partner closely with Science and Engineering teams to define and deliver next-generation heart health sensing and signal analysis capabilities, • Translate scientific findings and physiological concepts into intuitive, meaningful product experiences that empower members to better understand their heart health, • Support discovery and development of new features spanning both wellness and regulated use cases, • Contribute to the prioritization and delivery of roadmap initiatives, balancing scientific feasibility, user impact, and business opportunity, • Partner with Design to create user experiences that communicate complex heart health data with simplicity and empathy, • Collaborate with Regulatory, Legal, and Quality teams on product strategies that align with applicable regulatory frameworks, • Communicate progress, insights, and tradeoffs effectively to leadership and cross-functional stakeholders, • Contribute to the broader Health Risk Detection strategy and align heart health workstreams with Oura’s mission to empower proactive health ownership This is a remote US role with a preference for east coast time zone. Openness to flexible hours to support cross-time-zone collaboration with teams in Europe and the U.S. REQUIREMENTS We would love to have you on our team if you have: • 5+ years of product management experience, ideally in connected health, digital biomarkers, or wearable sensing., • Experience delivering products or research-based features in cardiovascular health, fitness, or related physiological domains., • Strong understanding of key cardiovascular signals (e.g., HRV, ECG, PPG, blood pressure estimation) and their application in consumer or regulated products., • Proven success translating early-stage scientific research into member-facing experiences., • Familiarity with the nuances between wellness and medical-grade products; experience with FDA or other regulatory processes is a plus., • Excellent collaboration and communication skills with scientists, engineers, designers, and clinicians., • A passion for helping people live longer, healthier lives through actionable, science-backed insights. BENEFITS At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health. What we offer: • Competitive salary and equity packages, • Health, dental, vision insurance, and mental health resources, • An Oura Ring of your own plus employee discounts for friends & family, • 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off, • Paid sick leave and parental leave Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future. • Region 1: $172,550 - $203,000, • Region 2 $158,950 - $187,000, • Region 3 $147,900 - $174,000 A recruiter can determine your zones/tiers based on your US location. We are not considering candidates residing in the following states: Alaska (AK), Arkansas (AR), Delaware (DE), Iowa (IA), Mississippi (MS), Missouri (MO), Nebraska (NE), Rhode Island (RI), South Dakota (SD), Vermont (VT), West Virginia (WV), and Wisconsin (WI). Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics. We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Disclaimer: Beware of fake job offers! We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note: • Our jobs are listed only on the ŌURA Careers page and trusted job boards., • We will never ask for personal information like ID or payment for equipment upfront., • Official offers are sent through Docusign after a verbal offer, not via text or email. Stay cautious and protect your personal details. To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.

We anticipate hiring multiple people for this position and it is not required that you meet every criteria in this job description. Element 84 is a woman-owned small business that works with public, private, and non-profit sector clients to develop geospatial data processing pipelines & build software that helps answer big questions about our health, our infrastructure, and our changing planet. We solve challenging problems across a wide range of industries, but our super power is cloud-based geospatial data processing, remote sensing, and Earth science systems. Our headquarters is located in Alexandria, VA and we have a satellite office in Philadelphia, PA. Element 84 also supports a large remote workforce from a variety of other states. Element 84's values are: We Invest in Each Other, We are Reliable, and Our Work Benefits our World. Element 84 works on meaningful projects that are challenging—from a technical, people, and team perspective. We make an impact on large projects through our leadership and expertise, both formal and informal. Element 84 values life outside of work. We offer parental leave for everyone and support each other through family challenges like medical problems, adoptions, and new babies. Element 84 has had a flexible work schedule since our founding in 2010. Element 84 is committed to fostering a culture of curiosity and respect for all individuals as we constantly strive to create a work environment where everyone feels welcome and supported. You are curious about the world, are constantly learning, driven to lead (formally or informally), and have a strong work ethic. You're interested in solving impactful problems in science, medicine, and other projects that have a societal good. You can work independently or with a team, prioritize your projects, and be effective without micromanagement. You'll care about writing. Our team is remote and written communication is essential. In addition to caring about a well-crafted email and a succinct conference abstract, you understand that good writing is good design and engineering. Element 84 is seeking a highly experienced and motivated Senior DevOps Engineer with a strong background in architecting reliable, scalable cloud systems and a proven record of utilizing infrastructure as code in complex deployments to support our innovative projects. In this role, you'll be instrumental in leading the design, implementation, and operation of cloud-native solutions for complex operational systems, collaborating closely with technical teams and customers. The ideal candidate will possess deep expertise in designing, deploying, and supporting enterprise-grade software within cloud environments, with a strong emphasis on infrastructure as code principles. While direct experience with geospatial applications isn't required, a curiosity and aptitude for working in this domain will be beneficial. Leading the design and implementation of robust, scalable, and secure cloud-native solutions on AWS and Azure. Collaborating with security experts to translate organizational security requirements into secure and compliant cloud implementations. Developing and maintaining infrastructure-as-code to manage and provision infrastructure across numerous Azure and AWS accounts, ensuring consistency and efficiency. Maintaining and optimizing CI/CD automation pipelines to facilitate rapid and reliable software deployments. Crafting automation scripts in Python, Bash, JavaScript, and other relevant languages to streamline operational workflows. Contributing to the development and maintenance of infrastructure supporting Generative AI applications on domain-specific datasets. Automating the creation and management of front and back-end applications, pipelines, security tooling, etc. Defining and advocating for best practices and standards for DevOps success across Element 84 and our customer organizations. 6+ years of experience in software development, with 3+ years specifically focused on Cloud Technologies. Strong, hands-on experience with IaC is a must, including writing, maintaining, and troubleshooting complex configurations for cloud environments. Strong experience developing in one or more programming languages (e.g., Python, Bash, JavaScript). Demonstrable experience designing, deploying, and managing infrastructure and services on a major cloud platform. Ability to clearly document and communicate intricate architectural concepts at various levels, including delivering presentations, creating visual representations of architectures, and writing white papers. Demonstrated experience in negotiating tradeoffs between critical factors such as security, performance, maintainability, and cost. Proven ability to multitask and effectively prioritize work across competing demands and multiple customers. Extensive experience working within an Agile Development software team. Solid experience with Linux environments. Deep understanding of cloud architecture patterns and tradeoffs (e.g., serverless vs. provisioned, managed services vs. self-hosting). Expertise with build and deployment automation tools. Proficiency with infrastructure monitoring tools, such as CloudWatch, AWS Config, Kibana, Splunk, Grafana, OpenTelemetry, Honeycomb, etc. Experience with data storage and data engineering tools and technologies (e.g., ElasticSearch, SQL, NoSQL, DynamoDB, Redshift, Athena, Glue, etc.). Experience with networking tools and technologies and troubleshooting issues (CloudFront, Route53, Load Balancers, API Gateway, VPCs, NACLs, etc.). Technical cloud certification (e.g., AWS Solutions Architect Associate/Professional, AWS DevOps Engineer Professional, Azure Solutions Architect Expert, Azure DevOps Engineer Expert) or willingness to obtain one. This position requires that applicants be a US Person (US citizen or legal permanent resident) and authorized to work in the United States without sponsorship now or in the future. AWS Solutions Architect, AWS DevOps, Azure Solutions Architect Expert, Azure DevOps Engineer Expert, and/or Certified Kubernetes Administrator certifications. B.S. in Computer Science, Computer Engineering, or a related field (equivalent professional experience will be considered in lieu of a degree). Experience with Generative AI technologies. Experience working in regulated contexts (e.g., NIST 800-53, PCI, HIPAA). Experience with authentication and authorization technologies (e.g., SAML, SSO, AWS Cognito, JWT, OAuth, OPA, Ranger). Demonstrated ability to proactively learn and integrate new technologies into existing workflows. Familiarity with geospatial data processing, analysis, or visualization tools and concepts. Experience using containerized workloads for local development and enterprise deployments (e.g. docker, EKS, EKS-automode, minikube, podman) Experience with data warehousing or data lakehouses (e.g. Databricks or Snowflake) Paying attention to who we are as a company–people, family members, friends, and colleagues–is our primary focus at Element 84. There are lots of ways to run a company, and, for us, we prioritize wanting to come to work, being around people we enjoy, taking on big things with people you trust, and sharing our achievements as a team. You’ll get credit when things go right and we’ll have your back when things go wrong. We only take on work that is challenging and right for us. There are projects we will turn down and the team has a say. We may be a small company, but we have big company benefits meant to support the idea that we're here for the long term and happiness comes from much more than where you work. We have an extraordinary retention rate because we hire extraordinary people. We hope that’s you. The salary range for this position is $145,000 - $175,000. Actual compensation offered to candidate will be finalized at offer and may be above or below the posted range due to skill level, experience, industry-specific knowledge, education/certifications, or geographic location. Base salary represents just one component of the Element 84 total compensation package. Employees will also receive a number of benefits as listed below. Other compensation for this position may include bonus eligibility (dependent on employee performance and company profits). This is a full time, salaried position. Please submit your information, resume and cover letter if you are interested. Remote candidates are encouraged, but your home office must be less than 100 miles from either Element 84’s Alexandria, VA or Philadelphia, PA hub. Competitive medical, dental and vision benefits Life Insurance, Short & Long Term disability insurance Voluntary Accident, Critical Illness & Hospital Insurance 401(k) and Roth 401(k) retirement plans with a fixed 3% of salary employer contributions (paid regardless of employee participation) Health savings account with a company contribution Flexible spending accounts (medical, dependent care and transportation) Company-paid parental leave after one year of employment Flexible work schedules Paid employee assistance program 6 paid floating holidays 4 weeks + 1 day paid Vacation Time Off per calendar year (prorated first year) 40 hours paid Sick Leave Cell phone stipend Element 84 is an equal opportunity employer.

Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles. Empowering the world starts with living _ and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office. This is a remote US role with a preference for candidates based in San Francisco, San Diego, or Boston. We have offices in San Francisco and San Diego for those who prefer hybrid or office settings. Oura employees in other major cities (like Boston and New York) occasionally gather informally at local co-working locations. We are seeking a highly experienced and driven Senior Machine Learning Data Scientist to join our Women's Health team. You will play a pivotal role in developing and commercializing cutting-edge machine learning models and algorithms, leveraging wearable health data to improve women's health outcomes. You will lead complex projects, mentor junior team members, and contribute significantly to the strategic direction of our technology.. What you will do: • Contribute to the development and deployment of advanced machine learning pipelines and models for innovative Women's Health features, focusing on time-series analysis and robust validation., • Drive the commercialization of machine learning models and algorithms, collaborating closely with cross-functional teams including scientists, product managers, software developers, product designers and test engineers., • Design and execute rigorous statistical analyses for model performance evaluation, monitoring, and generating actionable insights to inform strategic product decisions., • Conduct in-depth exploratory research to identify and characterize novel health sensing features, translating proof-of-concept ideas into scalable, commercialized products., • Contribute to the development of best practices for machine learning within the Women's Health team., • Present and communicate complex technical concepts to diverse audiences. This is a remote US role with a preference for candidates based in San Francisco, San Diego, or Boston. Requirements • PhD in Biomedical Engineering, Electrical Engineering, Biostatistics, Computer Science, or a related field. And 3+ years of industry experience in machine learning and data science., • 5+ years of advanced programming experience in Python and SQL., • Extensive experience with a wide range of machine learning and statistical modeling techniques, including deep learning, time-series analysis, and signal processing., • Demonstrated experience in the full lifecycle of developing and commercializing machine learning models and algorithms., • Excellent communication skills, and the ability to articulate complex technical concepts to both technical and non-technical audiences., • Self-driven, motivated, have a pragmatic can-do attitude and delivery-focused mindset: you can move quickly and prioritize effectively., • Strong domain knowledge in Women's Health and experience with health data from wearables are significant plusses. Benefits At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health. What we offer: • Competitive salary and equity packages, • Health, dental, vision insurance, and mental health resources, • An Oura Ring of your own plus employee discounts for friends & family, • 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off, • Paid sick leave and parental leave Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future. • Region 1 $172,000 - $203,000, • Region 2 $158,000 - $187,000, • Region 3 $147,000 - $174,000 A recruiter can determine your zones/tiers based on your US location. We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Missouri (MO), Nebraska (NE), South Dakota (SD), West Virginia (WV), and Wisconsin (WI) Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics. We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Disclaimer: Beware of fake job offers! We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note: • Our jobs are listed only on the ŌURA Careers page and trusted job boards., • We will never ask for personal information like ID or payment for equipment upfront., • Official offers are sent through Docusign after a verbal offer, not via text or email. Stay cautious and protect your personal details. To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.

_ is building EarthOS, an AI-powered climate and geospatial intelligence platform that turns satellite, environmental, and asset-level data into actionable insights for companies, investors, and insurers. _ is dClimate Labs’ natural capital and carbon MRV platform. It helps carbon project developers, investors, buyers, and agricultural companies monitor land cover, vegetation health, carbon stocks, land-use change, and project risks using satellite data and geospatial analytics. Our mission is to turn petabytes of Earth observation imagery into auditable metrics of carbon stocks, vegetation health, and land use change so that climate finance can flow where it matters. We’re looking for a hands-on full-stack data engineer to advance CYCLOPS across the full stack, from APIs and geospatial data pipelines to frontend tools used by carbon project developers, investors, buyers, and agricultural companies. Own the product & the pipeline: You’ll design everything from ingestion of raw Sentinel/Landsat scenes to the API that powers on-chain carbon registries and dashboards. Impact at scale: Each line of code helps move millions of tonnes of CO₂ equivalent through verifiable nature-based projects. Novel technology: No legacy cruft. Pick the right datastores, cloud primitives, and CI/CD flows from day one. Educational environment: You will work with professors and academics who are top of their fields so you understand the why, while doing the how. Path to leadership: You’ll play a role in hiring and mentoring subsequent engineers, setting technical direction for years to come. Architect end-to-end systems: Design satellite-image processing pipelines (STAC → xarray → Parquet/Zarr/IPFS) and the microservices that expose results via GraphQL/REST. Ship product features: Build dashboards in Next.js/React and geospatial APIs in Node/Python/FastAPI that climate-finance customers love. Scale & harden: Automate everything with IaC (Terraform/Pulumi), CI/CD, and robust orchestration using Prefect. Profile memory & I/O to keep petabyte workflows affordable. Lead & mentor: Establish engineering best practices, run code reviews, and recruit the next generation of Cyclops engineers. Fluent across the stack: Python for data and Typescript, React/Next.js, Node.js Data-infrastructure chops: Dask/DuckDB; S3 & object-store patterns; Data pipelining with orchestration tools like Prefect, columnar formats (Parquet, Arrow) and chunked stores (Zarr, Cloud-Optimized GeoTIFF), Docker. GIS / remote-sensing know-how: Google Earth Engine, QGIS, Rasterio, GDAL, PROJ, xarray, GeoPandas, STAC, EO tiling schemes Cloud & DevOps: Docker, IaC, Prefect, AWS compute services and observability (Prometheus/Grafana, OpenTelemetry). Systems thinking: Comfortable reasoning about distributed systems, eventual consistency, and data-versioning at petabyte-plus scale. Bias for action & ambiguity tolerance: You turn half-written Notion docs into shipped features without hand-holding. Mission-driven: You want your work to fight climate change. Experience leading a small team or owning a large production system. GPU accelerated image processing (cuDF, RAPIDS, TorchGeo). Machine Learning knowledge and MLOps (PyTorch/TensorFlow) Experience with carbon/MRV methodologies or environmental/agricultural science. For candidates based in the United States, the anticipated salary range is $40,000 - $110,000, depending on experience and location. We also welcome global candidates. For those located outside the United States, engagement structure and compensation will be tailored to your location and discussed throughout the hiring process. Remote-first, async-friendly culture with team members and hubs in Europe and USA Stipend for hardware, conferences, and learning. The chance to write the playbook for geospatial data in decentralized climate finance. Email _ with: “CYCLOPS - Geospatial Wizard” in the subject line. Your resume and GitHub / portfolio links. A short note (<300 words) describing the most complex data pipeline you’ve built and what you’d do differently next time. We review every application personally. If you’re excited by satellites, big data, and real-world impact, let’s talk.

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