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Based in San Francisco, ___ is a rapidly growing healthcare technology and clinical services company with a mission to ensure individuals receive the safest and most effective treatments for their unique and evolving healthcare needs. Frequently, medications cause more harm than good. Incorrect drugs and doses costs the US healthcare system over $528 billion in waste, avoidable harm, and hospitalizations each year. Arine is redefining what excellent healthcare looks like by solving these issues through our software platform (SaaS). We combine cutting edge data science, machine learning, AI, and deep clinical expertise to introduce a patient-centric view to medication management, and develop and deliver personalized care plans on a massive scale for patients and their care teams. Arine is committed to improving the lives and health of complex patients that have an outsized impact on healthcare costs and have traditionally been difficult to identify and address. These patients face numerous challenges including complicated prescribing issues across multiple medications and providers, medication challenges with many chronic diseases, and patient issues with access to care. Backed by leading healthcare investors and collaborating with top healthcare organizations and providers, we deliver recommendations and facilitate clinical interventions that lead to significant, measurable health improvements for patients and cost savings for customers. Why is Arine a Great Place to Work?: Outstanding Team and Culture - Our shared mission unites and motivates us to do our best work. We have a relentless passion and commitment to the innovation required to be the market leader in medication intelligence. Making a Proven Difference in Healthcare - We are saving patient lives, and enabling individuals to experience improved health outcomes, including significant reductions in hospitalizations and cost of care. Market Opportunity - Arine is backed by leading healthcare investors and was founded to tackle one of the largest healthcare problems today. Non-optimized medications therapies which cost the US 275,000 lives and $528 billion annually. Dramatic Growth - Arine is managing more than 18 million lives across prominent health plans after only 4 years in the market, and was ranked 236 on the 2024 Inc. 5000 list and was named the 5th fastest-growing company in the AI category. Arine is seeking a highly motivated and technically strong DevOps Engineer to help build, automate, and scale our cloud infrastructure and delivery pipelines. This role will focus on AWS, CI/CD, and Infrastructure as Code, while also leveraging AI-driven tooling to improve reliability, security, and delivery speed. You will work closely with Engineering, QA, and Security teams to ensure fast, safe, and scalable software delivery. Role & Responsibilities: • CI/CD Engineering: Design, build, and maintain automated CI/CD pipelines (e.g., GitHub Actions, Jenkins) to enable fast, secure, and reliable deployments., • Cloud Infrastructure on AWS: Provision, manage, and optimize core AWS services (EC2, ECS, S3, RDS, Lambda, VPC, IAM) to support scalable, highly available applications., • Infrastructure as Code (IaC): Implement and maintain IaC frameworks (Terraform, CloudFormation, or similar) to ensure infrastructure is version-controlled, repeatable, and auditable., • AI-Enabled DevOps: Leverage AI and automation for log/metric anomaly detection, predictive alerting, AI-assisted troubleshooting, and intelligent CI/CD optimizations., • Observability & Reliability: Build and maintain robust monitoring, logging, and alerting systems (CloudWatch, Datadog, ELK, etc.) to ensure platform stability and rapid issue detection., • Security & Compliance: Implement DevSecOps best practices, including secrets management, IAM policies, vulnerability scanning, and automated compliance checks., • Collaboration & Enablement: Partner with development, QA, and product teams to ensure smooth releases, infrastructure reliability, and continuous improvement across the SDLC. Required Technical Skills: • 3-5 years of experience in DevOps, Cloud Engineering, or Site Reliability Engineering (SRE)., • Strong hands-on experience with Amazon Web Services (AWS)., • Solid expertise in CI/CD pipeline implementation (GitHub Actions, Jenkins, AWS CodePipeline, etc.)., • Proficiency in Infrastructure as Code (Terraform, CloudFormation, or similar)., • Experience with Docker and container orchestration (EKS, ECS, or Kubernetes)., • Strong experience in scripting (bash, Python), • Working knowledge of Linux, networking concepts, and shell scripting., • Experience with industry-standard monitoring and logging platforms., • Familiarity with AI-driven operations (AIOps) tools or intelligent observability platforms. Nice to Have: • Experience with serverless architectures., • Exposure to security scanning, compliance automation, or frameworks like SOC2/HIPAA., • Experience working in regulated environments (healthcare, finance, etc.). Mindset We’re Looking For: • Automation-First Thinker: You believe everything that can be automated (infrastructure, deployments, testing, and recovery) should be automated., • Cloud Architect in the Making: You consistently consider scalability, cost, reliability, and performance when designing infrastructure., • AI-Curious Engineer: You are excited about using AI to improve monitoring, reduce downtime, and speed up DevOps workflows., • Ownership-Driven: You take responsibility for the health, security, and reliability of the systems you build., • Strong Communicator: You effectively translate technical challenges into clear solutions when working with developers, QA, and leadership. Remote Work Requirements: • An established private work area that ensures information privacy, • A stable high-speed internet connection for telephonic and/or remote work Perks: Joining Arine offers you a dynamic role and the opportunity to contribute to the company's growth and shape its future. You'll have unparalleled learning and growth prospects, collaborating closely with experienced Clinicians, Engineers, Software Architects, and Digital Health Entrepreneurs. The posted range represents the expected base salary range for this position and does not include any other potential components of the compensation package, benefits, and perks. Ultimately, the final pay decision will consider factors such as your experience, job level, location, and other relevant job-related criteria. The base salary range for this position is: $120,000-$150,000/year. Job Requirements: • Ability to pass a background check, • Must live in and be eligible to work in the United States Information Security Roles and Responsibilities: All staff at Arine are expected to be part of its Information Security Management Program and undergo periodic training on Information Security Awareness and HIPAA guidelines. Each user is responsible to maintain a secure working environment and follow all policies and procedures. Upon hire, each person is assigned and must complete trainings before access is granted for their specific role within Arine. Arine is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace where all employees are treated with fairness and respect. We do not discriminate on the basis of race, ethnicity, color, religion, gender, sexual orientation, age, disability, or any other legally protected status. Our hiring decisions and employment practices are based solely on qualifications, merit, and business needs. We encourage individuals from all backgrounds to apply and join us in our mission. Check our website at . This is a unique opportunity to join a growing start-up revolutionizing the healthcare industry! Job Offers: Arine uses the arine.io domain and email addresses for all official communications. If you received communication from any other domain, please consider it spam. Note to Recruitment Agencies: We appreciate your interest in finding talent for Arine, but please be advised that we do not accept unsolicited resumes from recruitment agencies. All resumes submitted to Arine without a prior written agreement in place will be considered property of Arine, and no fee will be paid in the event of a hire. Thank you for your understanding.

Base Operations - Data Engineer Location: US-based, Remote Who We Are: Base Operations decodes the world’s threat landscape into actionable security insights that enable organizations to protect their people, assets, and operations. We empower security teams to better assess threats, manage risk across large footprints, and make data-driven decisions using granular, street-level intelligence. As a category-creator in a growing market, we are looking for impact-driven individuals who are passionate about technology and are committed to helping our customers operate with efficiency and greater accuracy. We developed our technology at Harvard and MIT and use cutting-edge AI. The company is award-winning and backed by top-tier VCs. Our customers include some of the most sophisticated and relevant companies in the Fortune 500. Our team cares about solving hard problems, promoting transparency, encouraging growth in emerging markets, and empowering people to safely explore the world. We are a thoughtful, dedicated, and fun-loving group obsessed with disrupting the security intelligence industry and winning the loyalty of our customers. Overview: Base Operations is building the world’s largest dataset of global threat patterns and street-level intelligence. We are looking for an exceptional data engineer that can define, build, and mature the data pipelines, models, and warehouse to help us excel in this objective. This individual should have the technical acumen to contribute thought leadership relative to our architecture strategy, while also excelling at mapping that strategy into a tactical plan and executing against it. You will: * Build, test, and maintain robust ingestion and transformation pipelines, incl. the injection of NLP models to extract and augment data from free text sources. * Develop data transformation, validation and analysis methods to augment the utility and actionability of data * Build out a data warehousing strategy to realize and enhance the full data lifecycle. * Operationalize data quality throughout, ensuring visibility and timely remediation of data quality issues. * Contribute to GIS data architecture strategies, and drive transformation and implementation activities resulting from those strategies. * 3+ years experience building production-level data pipelines and standing up the platforms to support them * 3+ experience implementing and maintaining data warehouses, data models, and performing schema migrations. Experience standing up a data warehouse from scratch as well as AWS tools such as Athena and S3 a big plus. * Strong working knowledge of SQL, data models, and performing schema migrations. * Demonstrable thought leadership on operationalizing data quality * Development experience delivering production ready code in Python. Familiarity with Pandas framework. * Strong collaborator across functional areas, incl. data science, infrastructure, software development, and product * Hands on knowledge of GIS enabled data stores such as Postgres/GIS, GIS-related libraries such as GeoPandas, and analytic data platforms such as DataBricks * Experience with infrastructure and automation tools such as Jenkins, Argo Workflows, Argo CD, Terraform, Kubernetes or equivalent. * Deep understanding of ML and AI based infrastructure * Familiarity with JavaScript. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. Base Operations champions diversity - we welcome and employ people regardless of race, color, ancestry, religion, gender, gender identity, genetic information, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, disability, or Veteran status. We are proud to be an equal opportunity employer.

I'm ___, Senior Manager, Data Science at Teamworks. I lead the data scientists behind our Hockey and Basketball platforms, and right now we're hiring for both — one Data Scientist focused on Hockey, one on Basketball. These are teams I'd put up against anyone doing technical work in sports analytics today, working with tracking and pose data that most researchers and analysts won't have access to for years. Both roles are for people who want to get into the data, understand it deeply, and build things that last. The work is different by sport, but the profile is similar: strong data science fundamentals, an eye for how data should be structured to support modeling, and genuine passion for the sport and the analytics pushing it forward. Both roles involve building on top of proprietary tracking and pose data to create metrics, models, and analyses that elite sports organizations actually use. Day-to-day the work looks like this across both: * Build and transform new data sources into tables, features, and structures that are easy for the team and our clients to build on * Develop, extend, and validate models — including event-probability models and athleticism models — ensuring data representation supports both current and future use cases * Build metrics and analyses that NHL and NBA clients rely on to make decisions, and support client-facing work by digging into the data to answer their questions directly * Extract meaningful features from high-dimensional tracking and pose data, and update existing models to incorporate new signals as they become available * Validate models and outputs — your own and others' — with enough rigor that the team can trust what ships * Write clear reports that communicate technical work to the product team and broader organization The Hockey role centers on expanding our platform to non-NHL contexts using Sportlogiq tracking data and incoming Hawk-Eye pose data — including stick location, body orientation, and skating models. The Basketball role centers on building metrics and player evaluations on top of our EPV (Expected Possession Value) framework, translating model outputs into tools NBA front offices can actually use. * 3+ years of experience working with sports tracking data including the kinds of models typically built and the data challenges that come with them * Strong data science fundamentals: you understand how models work, what they need from the data, and how to set data up to support them * Proficiency in Python or R, with solid statistical foundations and comfort with SQL for building and querying structured data * Attention to detail in how data is structured and represented, with an eye for edge cases, consistency, and how downstream users will interact with what you build * A team-first mentality — both teams are small, and being someone others can rely on matters as much as technical skill * For Hockey: direct experience with hockey data or hockey analytics (inside a team, public work, or academically), and familiarity with pose or skeleton data or other high-dimensional spatiotemporal data sources * For Basketball: experience working inside an NBA front office or comparable environment, familiarity with deep learning methods, and public-facing basketball analytics work that demonstrates how you think about the game Hockey and basketball analytics are both moving fast, and these teams are at the front of it — working directly with NHL and NBA organizations on decisions that matter, using data most researchers won't have access to for years. If you want to do work that pushes the field forward and have it actually land with real teams, these are rare seats to be in. We're the Operating System for Sports™, powering 6,500+ organizations worldwide, from collegiate programs to every major pro league. Founded in 2006, we've evolved from a messaging tool for college football into the leading sports tech platform, with 500+ global teammates building the future of sports tech. Our solutions span Personnel, Coaching, Performance, Operations, and Intelligence - helping teams recruit smarter, train better, stay compliant, and win. Teamworks is an equal opportunity employer - if you live our core values every day and are honest, hardworking, humble, committed, innovative, and an all-around exceptional person, you'll thrive at Teamworks. We are committed to building a diverse and inclusive workforce and take affirmative action to not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics. This policy applies to all employment practices within our organization, including but not limited to recruiting, hiring, promotion, termination, compensation, benefits, and training. Teamworks is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email ___. To all recruitment agencies: Teamworks does not accept agency resumes. Please do not forward resumes to our jobs alias, Teamworks employees or any other organization location. Teamworks is not responsible for any fees related to unsolicited resumes.

Who We Are Renew Home is on a mission to change how we power the world by making it easier for customers to save energy and money at home as part of the largest residential virtual power plant in North America. We partner with industry-leading brands to better manage residential energy for users by prioritizing efficiency, savings, and comfort — and cleaner energy for everyone. We are an Equal Opportunity employer striving to create a diverse, equitable, and inclusive work environment where everyone feels that they have a voice that is heard. We strongly encourage candidates to check out our website at ___ to learn more about the world-changing work we are doing. Role Summary Renew Home is seeking a talented and self-driven Senior Data Scientist to join the growing Product Analytics team. At Renew Home, we prioritize data-driven decision making, and you will play a crucial role in making this a reality. Collaborating closely with stakeholders across the organization – Engineering, Product, Operations, Partnerships – you will deliver analytic solutions and timely insights by asking the right questions of our data. This role requires someone who takes initiative, drives projects end-to-end, and holds themselves accountable to outcomes. What You Will Do • Lead cross-functional initiatives to define, implement, and iterate on measurement and analysis of our Virtual Power Plant (VPP)., • Proactively analyze and interpret complex data to uncover critical business, product, and user insights. Propose strategies for improving both the systems powering our VPP and the tools used by our energy industry partners., • Synthesize large-scale, disparate datasets — including smart meter data, device telemetry, settlement data, and logs — to aid in increasing the impact of our VPP products and services., • Build source of truth data models in DBT that serve as the foundation for reporting and decision-making., • Define and monitor KPIs to evaluate the success of new product features and business initiatives., • Influence product and business strategy by effectively communicating analytical results, recommendations, and tradeoffs to stakeholders across all levels of the organization., • Partner with engineers to define appropriate data instrumentation for new product features., • Perform statistical analysis and build predictive models on user interactions and smart device data to drive business recommendations and product strategy., • Contribute to the culture and workflows of the Product Analytics team – advocate for analytic best practices, introduce new tools and processes, perform code reviews, support your peers, and coach more junior members., • 5+ years of experience in analytics, analytics engineering, or data science., • Fluency in SQL and deep experience with columnar data warehouses (e.g. Redshift, BigQuery), including dimensional modeling, query optimization, and warehouse design principles, • Proficiency in Python for data analysis (e.g. Pandas, NumPy, Jupyter), • Solid foundation in statistics including causal inference, experimentation, and simulation., • Ability to work through ambiguity, excellent problem solving skills and attention to detail., • Strong product intuition and ability to connect data insights to the user experience and business outcomes., • Preferred Qualifications:, • Strong preference for experience in the energy space (energy markets, smart devices, or home energy systems), or a demonstrated interest in the domain with evidence of self-driven learning or research., • Experience may include (one or more of the following):, • Energy industry knowledge or experience with energy markets, • Experience with smart energy devices such as thermostats, EVs, solar, batteries, and water heaters, • Understanding of building/home energy systems and physics, • Experience with DBT and workflow orchestration platforms like Prefect/Airflow., • Experience with the AWS cloud computing ecosystem including: Redshift, s3, ZeroETL, ecs, Lambda., • A full-time position, with a competitive salary based on experience. The base salary for this role is: $155k - $195k. We use market data and consider your job family, background, skills, experience, and U.S. work location to determine compensation within our established pay range., • Fully remote work environment with home office set-up allowance., • Real and lived work-life balance - Company perks include no pre-set vacation limits (with a top-down culture of taking meaningful PTO every year!), parental leave benefits, and a corporate value of working sustainably and putting families first., • Competitive benefits package that includes numerous health and wellness benefits., • 401(k) plan, with employer contributions to the same., • Opportunity to work with amazing people who are passionate about their mission, thriving in a fully-remote work environment, and learning and growing every day. At this time, Renew Home is unable to sponsor or take over sponsorship of employment visas. Candidates must be authorized to work in the United States without current or future immigration from the company, including training plans for foreign students. EQUAL OPPORTUNITY EMPLOYER Individuals seeking employment at Renew Home are considered without regard to race, color, religious creed, sex, gender identification, national origin, citizenship status, age, physical or mental disability, sexual orientation, marital, parental, veteran or military status, unfavorable military discharge, or any other status protected by applicable federal, state or local law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Location: Remote (U.S.-based, U.S. Citizens Only) Type: Full-Time Clearance: Must pass FBI fingerprint and background check in multiple states GovWorx is a mission-driven technology company dedicated to supporting public safety agencies—including 911 Emergency Communications Centers, law enforcement, and fire/EMS departments—through responsible AI solutions. Our platforms, such as CommsCoach, BluAssist, and MedAssist, leverage operational data to enhance training, quality assurance, and performance evaluation, aiming to improve staffing, morale, and efficiency across public safety sectors. We’re looking for an experienced, impact-driven Data Engineer to join GovWorx, a company at the forefront of Responsible AI for public safety. You’ll play a key role in shaping and delivering AI solutions that support 911, Law Enforcement, and Fire/EMS teams. This role is ideal for someone with a strong background in data infrastructure, cloud systems, and a passion for building reliable, scalable pipelines that power AI systems in production. * Design, implement, and maintain data pipelines and workflows to support AI and analytics use cases * Manage and optimize structured and semi-structured data using MySQL, Redshift, OpenSearch, and related datastores * Evaluate and implement new database technologies and AWS-native tools to support scalability and performance * Collaborate with data scientists, engineers, and product managers to ensure data needs are met across systems * Build internal tooling for data access, transformation, and quality monitoring * Support infrastructure-as-code and cloud automation to maintain high system reliability Must-Haves: * 3+ years of experience in data engineering or related backend/infrastructure roles * Proficiency in working with relational and non-relational datastores (e.g., MySQL, OpenSearch) * Strong experience with AWS tools such as S3, Glue, Lambda, or similar * Experience building and maintaining ETL/ELT pipelines and working with structured and unstructured data * Experience with Python for data processing (pandas, PySpark, or similar) * Comfort with contributing to production codebase * Familiarity with containerization (e.g., Docker) and version control (e.g., Git) * Must pass FBI fingerprint and background check in multiple states Nice to Have: * Experience supporting ML/AI pipelines or working closely with data science teams * Experience with Sisense or similar embedded BI/analytics platforms * Knowledge of DBT or similar SQL transformation frameworks * Familiarity with infrastructure as code tools (e.g., Terraform, CloudFormation) * Contribute to cutting-edge AI projects that directly support public safety * Be a key influencer in product and model strategy at a growing AI company * Collaborate with a high-performing team across data science, product, and engineering * Help shape the future of Responsible AI through mission-driven work

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. We are seeking a highly experienced Senior Data Scientist with deep expertise in demand forecasting and time-series modeling. The ideal candidate will have strong applied experience building, deploying, and scaling forecasting solutions in production environments, particularly within CPG, FMCG, retail, or similar industries. Key Responsibilities • Design, develop, and deploy time-series forecasting models including ARIMA, SARIMA, and ETS, • Build machine-learning-based forecasting models using GBM, Random Forest, XGBoost, and LightGBM, • Develop hierarchical and multi-level forecasting solutions across products, regions, and channels, • Perform large-scale data extraction, transformation, and analysis using SQL, • Implement and operationalize models in cloud environments (Azure preferred), • Collaborate with business stakeholders to translate demand planning requirements into scalable analytics solutions, • 10+ years of experience in applied data science or advanced analytics, • 5+ years of hands-on experience in demand planning, demand forecasting, or sales forecasting, • Strong domain experience in CPG, FMCG, retail, or similar industries, • Advanced proficiency in Python (pandas, NumPy, scikit-learn, statsmodels), • Strong SQL skills for large-scale data processing Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Based in San Francisco, ___ is a rapidly growing healthcare technology and clinical services company with a mission to ensure individuals receive the safest and most effective treatments for their unique and evolving healthcare needs. Frequently, medications cause more harm than good. Incorrect drugs and doses costs the US healthcare system over $528 billion in waste, avoidable harm, and hospitalizations each year. Arine is redefining what excellent healthcare looks like by solving these issues through our software platform (SaaS). We combine cutting edge data science, machine learning, AI, and deep clinical expertise to introduce a patient-centric view to medication management, and develop and deliver personalized care plans on a massive scale for patients and their care teams. Arine is committed to improving the lives and health of complex patients that have an outsized impact on healthcare costs and have traditionally been difficult to identify and address. These patients face numerous challenges including complicated prescribing issues across multiple medications and providers, medication challenges with many chronic diseases, and patient issues with access to care. Backed by leading healthcare investors and collaborating with top healthcare organizations and providers, we deliver recommendations and facilitate clinical interventions that lead to significant, measurable health improvements for patients and cost savings for customers. Why is Arine a Great Place to Work?: Outstanding Team and Culture - Our shared mission unites and motivates us to do our best work. We have a relentless passion and commitment to the innovation required to be the market leader in medication intelligence. Making a Proven Difference in Healthcare - We are saving patient lives, and enabling individuals to experience improved health outcomes, including significant reductions in hospitalizations and cost of care. Market Opportunity - Arine is backed by leading healthcare investors and was founded to tackle one of the largest healthcare problems today. Non-optimized medications therapies which cost the US 275,000 lives and $528 billion annually. Dramatic Growth - Arine is managing more than 18 million lives across prominent health plans after only 4 years in the market, and was ranked 236 on the 2024 Inc. 5000 list and was named the 5th fastest-growing company in the AI category. The Role: The Data Engineering Lead is a pivotal hybrid role within the Data Engineering team, combining hands-on development with leadership responsibilities. This individual will lead a squad of Data Engineers to deliver high-quality, high-velocity customer data pipelines while maintaining existing ones. The Data Engineering Lead owns end-to-end delivery including project management, data quality, and timelines and is accountable for both team output and their own individual contributions. This role requires consistently high standards in both coding and execution. What You'll be Doing: • Collaborate with the Implementation and Data Analyst team to review and own DE requirement write-ups, ensuring they fully address data needs discussed in implementation calls., • Communicate timelines for deliverables to unblock Data Engineers for ETL pipeline development., • Proactively flag risks to timelines or quality to stakeholders and project managers., • Lead backlog grooming for implementation-related tickets., • Ensure team cross-coverage: both the DE Lead and assigned Data Engineer should understand the full ETL flow, with at least two additional engineers familiar at a high level., • Conduct thorough peer reviews and DE UATs after initial UAT completion., • Design and maintain data transformation pipelines using dbt, including utilizing core concepts like macros, incremental models and dbt tests, • Work with QA and CSA teams to resolve post-UAT issues and update the DE UAT checklist., • Provide technical guidance and mentorship to junior engineers, and promote best practices and coding standards., • Identify and escalate inefficiencies within and across teams., • Support project management and provide leadership to peers as needed., • Author and support high-quality technical documentation, assisting junior engineers in doing the same., • Collaborate with the DE Manager to report on DE contractor performance issues. Who You Are and What You Bring: • 6+ years of experience working with Data, • Experience leading a team of up to 3 Engineers, • Experience creating an automated ETL process using Python and DBT SQL, • Hands on experience with modern data technologies and comfortable leveraging AI coding assistants to accelerate development, improve code quality, and enhance productivity., • Experience with data processing, validation, cleaning, and debugging data sets, • Experience with building production grade ETL pipelines using dbt (including macros, incremental and Python models and testing), • A demonstrable and deep understanding of healthcare /healthcare claims data, • Experience with processing large data sets (over 10 GB), • Excellent verbal and written communication skills Remote Work Requirements: • An established private work area that ensures information privacy, • A stable high-speed internet connection for remote work, • This role is remote, but you will be required to come to on-site meetings multiple times per year. This may be in the interview process, onboarding, and team meetings Perks: Joining Arine offers you a dynamic role and the opportunity to contribute to the company's growth and shape its future. You'll have unparalleled learning and growth prospects, collaborating closely with experienced Clinicians, Engineers, Software Architects, and Digital Health Entrepreneurs. The posted range represents the expected salary for this position and does not include any other potential components of the compensation package (including bonus and equity), benefits, and perks. Ultimately, the final pay decision will consider factors such as your experience, job level, location, and other relevant job-related criteria. The salary range for this position is: $150,000-170,000/year. Job Requirements: • Ability to pass a background check, • Must live in and be eligible to work in the United States Information Security Roles and Responsibilities: All staff at Arine are expected to be part of its Information Security Management Program and undergo periodic training on Information Security Awareness and HIPAA guidelines. Each user is responsible to maintain a secure working environment and follow all policies and procedures. Upon hire, each person is assigned and must complete trainings before access is granted for their specific role within Arine. Arine is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace where all employees are treated with fairness and respect. We do not discriminate on the basis of race, ethnicity, color, religion, gender, sexual orientation, age, disability, or any other legally protected status. Our hiring decisions and employment practices are based solely on qualifications, merit, and business needs. We encourage individuals from all backgrounds to apply and join us in our mission. Check our website at . This is a unique opportunity to join a growing start-up revolutionizing the healthcare industry! Job Offers: Arine uses the arine.io domain and email addresses for all official communications. If you received communication from any other domain, please consider it spam. Note to Recruitment Agencies: We appreciate your interest in finding talent for Arine, but please be advised that we do not accept unsolicited resumes from recruitment agencies. All resumes submitted to Arine without a prior written agreement in place will be considered property of Arine, and no fee will be paid in the event of a hire. Thank you for your understanding.

About Cleerly We’re Cleerly – a healthcare company that’s revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world’s leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location. Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly’s solutions are supported by more than a decade of performing some of the world’s largest clinical trials to identify important findings beyond symptoms that increase a person’s risk of heart attacks. At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description. While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time. About the Opportunity We’re seeking a DevOps Engineer III who’s passionate about building scalable, secure, and reliable cloud infrastructure to help scale and evolve our enterprise-grade platform for quantitative computer-aided diagnosis. In this role, you’ll be part of a core DevOps team responsible for designing and evolving the systems that support continuous integration, automated testing, secure infrastructure, and reliable software delivery. As a member of the team, you’ll support initiatives that enhance build and release pipelines, develop internal tools and services, and ensure the scalability, performance, and security of our infrastructure. You’ll also help define best practices, guide architectural decisions, and mentor junior engineers. This is an ideal role for someone who thrives in fast-paced environments, enjoys solving complex problems, and has a passion for building and improving cloud-native systems that accelerate engineering velocity. Responsibilities • Deployment, configuration, and infrastructure operations., • Own and maintain the Terraform codebase, implementing infrastructure as code best practices., • Design, implement, and maintain build pipelines using GitHub Actions., • Manage Kubernetes environments (EKS), including cluster provisioning, workload orchestration, scaling, upgrades, and observability., • Collaborate with product delivery teams to gather requirements and deliver secure, scalable infrastructure to support them., • Design and implement highly available, fault-tolerant systems with strong observability and disaster recovery capabilities., • Participate in on-call rotations and lead post-incident reviews, driving long-term reliability improvements across systems. Our Stack: Cloud: AWS (EC2, S3, EKS, SQS, SES, Lambda, VPCs, etc.) IaC: Terraform, Terragrunt Containers: Docker, Kubernetes, ECS CI/CD: GitHub Actions Languages: HCL, Bash, Python, TypeScript Databases: PostgreSQL, Redis, NoSQL Security: OpenVPN, IPsec tunnels, HIPAA controls Requirements: • Bachelor’s degree in Computer Science, Engineering, or equivalent experience., • 4+ years of experience as a DevOps, Infrastructure, or Site Reliability Engineer., • Solid understanding of AWS and hands-on Terraform experience., • Experience deploying and managing containerized applications., • Familiarity with CI/CD systems and Git-based workflows., • Strong communication and documentation skills., • Detail-oriented, with a focus on delivering high-quality, maintainable code., • Ability to work independently and as part of a distributed team. Preferred: • Experience in healthtech or regulated environments, • Familiarity with HIPAA or HITRUST requirements, • Amazon AWS Certified Cloud Practitioner certification, • Amazon AWS Certified CloudOps certification The base salary range for this role varies by location and is aligned to market benchmarks. • Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range., • Final compensation is determined based on location, experience, skills, and internal equity. This role is eligible for a 10% target annual bonus, resulting in the following base salary and Total Target Compensation (TTC) ranges: • Base Salary: $135,000 - $155,000, • TTC: $149,000 - $171,000 *Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards. Working at Cleerly takes HEART. Discover our Core Values: • H: Humility- be a servant leader, • E: Excellence- deliver world-changing results, • A: Accountability- do what you say; expect the same from others, • R: Remarkable- inspire & innovate with impact, • T: Teamwork- together we win Don’t meet 100 percent of the qualifications? Apply anyway and help us diversify our candidate pool and workforce. We value experience, whether gained formally or informally on the job or through other experiences. Job duties, activities and responsibilities are subject to change by our company. OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. By submitting your application, you agree to receive SMS messages from Cleerly recruiters throughout the interview process. Message frequency may vary. Message and data rates may apply. You can STOP messaging by sending STOP and get more help by sending HELP. For more information see our Privacy Policy (___. All official emails will come from @cleerlyhealth.com email accounts. #Cleerly

Here at Ooma we empower people to connect in smarter ways. We do this by creating powerful communication experiences through our cloud-based platform to bring people together at work and at home. Our solutions help small business owners stay connected with their customers and manage their businesses from anywhere. For larger companies we provide customized unified communications solutions to meet their unique needs. At home, we help our customers connect with their loved ones by providing the #1 rated VoIP phone service available. We also provide them with peace of mind through our innovative smart home security solution. At Ooma, all our products and services are priced competitively, because we believe advanced technology should be accessible to all. About the Role: At Ooma, we are innovators driven by operational excellence and passionate about delivering outstanding customer experiences. As part of our transformation into a truly international team of Site Reliability Engineers (SREs), we are expanding our capabilities to meet the demands of our worldwide customer base. We are looking for a talented SRE, Systems Administrator, Operations Engineer, DevOps Engineer, or IT professionals who thrive on solving challenging problems and ensuring service reliability at scale. If you are motivated by working with the latest technologies, mentoring others, and building highly available systems, we’d love to talk to you. What You’ll Do: • Become a subject matter expert in applications supporting Ooma customers., • Collaborate with Development, QA and other SREs to evaluate, deploy, and debug applications., • Improve observability by implementing, refining, and adjusting application monitoring and thresholds., • Mentor team members to enhance application management practices., • Act as an escalation path and backup for junior team members, providing guidance during alerts and incidents., • Write automation scripts, set up CI pipelines, and review/evaluate software solutions and best practices., • Participate in on-call rotations, providing 24/7 support for Ooma services. Experience We’re Looking For: • Strong background in production (24/7) support for large-scale environments required., • 6+ years of Linux administration and troubleshooting experience with full-stack, application support focus; 8+ years overall working experience as an IT professional., • Proven expertise in advanced scripting using Python, Perl, and Bash., • Database administration experience with MySQL, MongoDB, or PostgreSQL required., • Must have experience with configuration management tools such as Ansible, Puppet, etc., • Hands-on experience with cloud platforms such as OCI, AWS, or GCP required., • Proven ability to lead technical projects from inception to completion., • Experience with DevOps tools, like Docker, K8s, Gitlab CICD, Jenkins, Terraform preferred, • Experience with monitoring best practices using ELK stack, Prometheus, Nagios, or Grafana preferred, • Experience with Agile tools like Jira, Confluence, or any similar tool, preferred, • Strong collaboration skills and empathy for the end-user experience., • Excellent troubleshooting, communication (written and verbal), and cross-functional leadership skills., • Ability to work effectively in fast-paced, dynamic environments and manage ambiguity., • Quick learner with a self-starter mindset and ownership of outcomes., • Sound judgment in escalation and decision-making., • Bachelor's degree in Engineering/Computer Science or equivalent experience. #LI-CC1 What We Offer: Working at Ooma means being a team player, while allowing your individual voice to come through. And, you'll receive competitive compensation, benefits and generous company perks. • Comprehensive Medical/Dental/Vision insurance for you and eligible dependents, • HMO, PPO’s or a PPO with a HDHP (including HSA, which Ooma helps fund), • Employer Paid Income Protection Benefits (Basic Life and AD&D, Short- and Long-term disability), • FSA Healthcare & Dependent Care, • Commuter Benefits, • Voluntary Accident, Critical Illness, Hospital Indemnity and Legal, • 401(k), including employer match, and Roth, • Employee Stock Purchase Plan (ESPP), • Paid Time off, Sick Time, as well as corporate holidays observed, • Employee Assistance Program, • Life Balance benefits with Travel Assistance Services and Identity Theft, • Additional Benefits include a Discount Program, Credit Union, Medicare Assistance, etc. Ooma is an equal-opportunity employer committed to recruiting, employing, retaining, promoting, and otherwise treating all employees on the basis of merit, qualifications, and competence. We do not discriminate on the basis of any trait or characteristic protected by applicable federal, state, or local laws. #LI-C1 The base salary range for candidates within the United States is listed below. Actual base pay will depend on a variety of factors such as education, skills, experience, specific location, etc. The base pay range is subject to change and may be modified in the future. Regular employees may also be eligible for bonus(es), sales incentive(s) (target included in OTE) and/or stock in the form of Restricted Stock Units (RSUs). United States Pay Range $110,000 - $175,000 USD

Stitch Fix (NASDAQ: SFIX) is the leading online personal styling service that helps people discover the styles they will love that fit perfectly so they always look - and feel - their best. Few things are more personal than getting dressed, but finding clothing that fits and looks great can be a challenge. Stitch Fix solves that problem. By pairing expert stylists with best-in-class AI and recommendation algorithms, the company leverages its assortment of exclusive and national brands to meet each client's individual tastes and needs, making it convenient for clients to express their personal style without having to spend hours in stores or sifting through endless choices online. Stitch Fix, which was founded in 2011, is headquartered in San Francisco. At Stitch Fix, our data science team combines data insights with expert human judgment to generate innovative recommendations that transform the way our clients discover what they love. We believe in a curiosity-driven data science culture where members have autonomy to deliver impact through analyzing data, building reusable tools & processes and integrating with live engineering services. The diversity of the problems that we work on, and the data-rich environment of our business, make it possible, even essential, to bring the tools of multiple disciplines to bear on our hardest problems. We are looking for data scientists and leaders to join us as we revolutionize retail. The Merchandising Algorithms team helps ensure that Stitch Fix purchases the right inventory to delight our clients while also supporting their sellthrough via pricing recommendations and other levers in order to efficiently operate the business. Team members are owners of the health and efficiency of our inventory state, providing recommendations and analytical insights to empower our business partners to improve our assortment. Alongside partnerships in merchandise, engineering, and product, this role will focus on building tools to optimally disseminate operational budgets when purchasing inventory, all while maintaining a high value product experience for our clients. This role will combine technical expertise in data science and optimization techniques with strong decision-making capabilities to drive data-informed strategic decisions across the organization. The ideal candidate will have a passion for solving complex business problems, utilizing data to derive insights, and providing actionable recommendations that guide key business decisions. As a Senior Full Stack Data Scientist at Stitch Fix, you will design, implement, and validate improvements to our repurchased inventory buying strategy to ensure optimal sellthrough given business constraints and client demand. Optimizing our inventory has considerable opportunity for impact at Stitch Fix, by combining a deep focus on ensuring a client-right approach to inventory management with smart, active processes to increase business efficiency and unit margin. • Build key relationships with stakeholders across product, engineering, finance, and operations and collaborate on translating business challenges into analytical questions that can be addressed using data science techniques, • Use decision-modeling frameworks, such as simulations, optimization models, and A/B testing, to assess potential outcomes and guide decision-making., • Solution at high speed with a small, agile team of coworkers to produce outsized impact on the business, • Have the autonomy to identify unaddressed problems in the business as well as offer new, improved solutions to existing challenges, • Build tools and dashboards to support data-driven decision-making and empower non-technical stakeholders to leverage data insights in day-to-day decisions., • Be exposed to a wide-open field of opportunity for impact with plenty of challenges to make your own, • Work in concert with and learn from a large, diverse, and world-class Algorithms team towards the common goal of transforming the way people find what they love., • You are proficient in building and deployment apps using the Python data ecosystem, • You have 1+ years experience with optimization techniques such as linear programming, dynamic programming and others. A bonus if you have experience with Gurobi!, • You’re fluent in SQL and have experience handling large-scale datasets, • You have an understanding of statistical principles and how to apply them to data and experimental results, and can communicate derived insights to stakeholders to drive action, • You drive for resiliency. You take a principled approach to complexity, and can make smart bets on where to invest time and system burden for maximum business impact, • You’re curious about what’s happening outside your immediate sphere and how you can leverage insights elsewhere inside the domains you own, • You have familiarity with data visualization tools such as matplotlib, seaborn, looker etc, • You’re happiest as a team player, able to balance time against multiple systems and work streams with defined objectives, • We are a group of bright, kind people who are motivated by challenge. We value integrity, innovation and trust. You’ll bring these characteristics to life in everything you do at Stitch Fix., • We cultivate a community of diverse perspectives— all voices are heard and valued., • We are an innovative company and leverage our strengths in fashion and tech to disrupt the future of retail., • We win as a team, commit to our work, and celebrate grit together because we value strong relationships., • We boldly create the future while keeping equity and sustainability at the center of all that we do., • We are the owners of our work and are energized by solving problems through a growth mindset lens. We think broadly and creatively through every situation to create meaningful impact., • We offer comprehensive compensation packages and inclusive health and wellness benefits. Compensation and Benefits This role will receive a competitive salary, benefits, and equity. The salary for US-based employees hired into this role will be aligned with the range below, which includes our three geographic areas. A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, location, and performance. This position is eligible for an annual bonus, and new hire and ongoing grants of restricted stock units, depending on employee and company performance. In addition, the position is eligible for medical, dental, vision, and other benefits. Applicants should apply via our internal or external careers site. Salary Range$123,000—$205,000 USD ___ leads to the machine readable files that are made available in response to the federal Transparency in Coverage Rule and includes negotiated service rates and out-of-network allowed amounts between health plans and healthcare providers. The machine-readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data. Please review Stitch Fix's US Applicant Privacy Policy and Notice at Collection here: ___ Recruiting Fraud Alert: To all candidates: your personal information and online safety are top of mind for us. At Stitch Fix, recruiters only direct candidates to apply through our official career pages at ___ or ___. Recruiters will never request payments, ask for financial account information or sensitive information like social security numbers. If you are unsure if a message is from Stitch Fix, please email ___. You can read more about Recruiting Scam Awareness on our FAQ page here: ___

We are building a team that is empowered to use AI to solve business needs by having a rapid development and deployment pipeline with a focus on rapid iteration, continuous delivery, and intelligent automation. We are looking to add a software engineer who will contribute to the full software development lifecycle, with a strong emphasis on AI. A key part of this role involves prompt engineering and understanding how to interact with LLMs to ensure the accuracy, reliability, and relevance of AI-generated outputs. If you’re AI-forward and excited to explore and apply the latest tools and technologies to solve real-world business problems, this is the role for you. You’ll work with a modern tech stack including Python, Azure OpenAI, Langchain, Postgres, Docker, Cursor, Git, Azure DevOps, React, and AI Agents to deliver high-value software to our business. Location: Remote. Working hours are based on the US Central or Eastern Time Zone. About the Company: Abstra is a fast-growing, Nearshore Tech Talent services company, providing top Latin American tech talent to U.S. companies and beyond. Founded by U.S.-bred engineers with over 15 years of experience, Abstra specializes in sourcing skilled professionals across a wide range of technologies to meet our clients’ needs, driving innovation and efficiency. Job Description: Job Functions, Essential Duties, and Responsibilities: • Collaborate with cross-functional teams to integrate AI capabilities using Azure OpenAI, Langchain, and AI Agents., • Apply prompt engineering techniques to optimize LLM interactions for precision, consistency, and business value., • Build and maintain containerized applications using Docker and deploy via Azure DevOps pipelines., • Work with PostgreSQL and other data technologies to design efficient and reliable data models., • Develop and consume REST APIs to enable seamless integration across services and platforms., • Participate in sprint planning, estimation, and retrospectives as part of an Agile Scrum team., • Contribute to the evolution of our AI-driven development environment using tools like Cursor., • Stay current with emerging technologies and bring a mindset of continuous learning and experimentation. Experience, Skills, Knowledge Requirements • +5 years of experience in designing, developing, testing, and maintaining scalable architectures using Python., • A strong experience in leveraging AI and the latest tools to drive innovation and efficiency., • Extensive experience using Python to develop web applications and back-end services., • Experience with MCP servers (a big plus, but not mandatory)., • Extensive experience working with REST APIs., • Experience designing, querying, and optimizing databases, particularly using PostgreSQL., • Experience with Docker, Git, Azure DevOps, CI/CD pipelines, automated testing, and infrastructure as code., • Familiarity with Azure Functions, Azure OpenAI, Langchain, and building AI workflows and agents., • Exposure to GraphQL and C#., • Experience with prompt engineering and optimizing LLM interactions for accuracy and reliability (It’s not mandatory, but ideally you should be open to shortening the learning curve, since it’s a daily basis task)., • Experience with React., • Experience working with other developers, quality engineers (QE), ops engineers, and support engineers to ensure smooth deployment and continual operation., • Experience participating in design discussions with both technical and non-technical audiences., • Excellent problem-solving skills and attention to detail., • Familiarity or experience with Agile engineering practices (test-driven development, continuous integration, pair programming, etc)., • Ability to work with legacy systems while contributing to modernization efforts., • Strong problem-solving skills and a passion for learning and applying new technologies., • Experience collaborating with technical and non-technical stakeholders., • Familiarity with Agile methodologies and open-source development practices. What We Offer: • Flexible working hours and remote work options., • Opportunities for professional growth and development., • A collaborative and inclusive work environment., • The chance to work on impactful projects with a talented team., • Excellent compensation in USD., • Hardware and software setup.

About Collectly Our mission is to enable healthcare organizations to focus on providing care, rather than spending time on collections and tedious administrative tasks. At the same time we see this being possible only by providing financial transparency for patient and a modern patient experience from check-in to getting a bill. We’re Y Combinator alumni and have raised last year $29M from Sapphire Ventures to expand the product and accelerate growth from a healthy bottom line with hundreds of clients. \n Job description • As a Senior Software Engineer, you will be part of the talented team building the core Collectly product, powered by a Python backend and React front end., • We are a hybrid company, partly based in Santa Monica and partly remote spread out around the United States & Europe. As a member of the engineering team, you will: • Collaborate with the founder, PMs, designers, and other engineers to navigate trade-offs and build a world-class product., • Work with urgency to build critical features with a keen attention to detail and high-quality maintainable code., • Completely own your features end-to-end, from product requirements, code, testing, observability, rollout and maintenance. Must-haves • At least 3 years experience building complex web apps, ideally on Python-based frameworks like FastAPI or Flask., • A passion for building and delivering exceptional products., • The ability to navigate a fast-paced work environment., • A hard-working ethic to help build and grow a new startup., • Exceptional written and oral communication skills., • New hires begin their journey with a mandatory 1-2 week onsite onboarding in Los Angeles/Santa Monica with our CTO, then return back home & enjoy the freedom of remote work. We cover all travel and accommodations!, • At this time, Collectly doesn't provide visa sponsorship. Nice-to-haves: • Experience with our technology stack:, • Python, • Flask, • SQLAlchemy, • PostgreSQL, • Redis Benefits • Unlimited PTO, • Equity Options, • 401k with Company Match, • Student Loan Contribution, • 100% Employer Covered Medical Benefits (includes Vision and Dental), • Competitive compensation, • A lot of autonomy within your area of responsibility, • The fun of working at a no-nonsense startup that just wants to build an amazing product and business. \n

What We Do: Brightwell is a payments company on a mission to make money movement faster, safer, and more accessible — whether across town or around the world. We build the full experience for banks and credit unions: from the mobile interfaces that guide account holders through transfers, to the platform infrastructure powering it all behind the scenes. That means multi-corridor payment routing, partner integrations across financial networks, and real-time compliance and fraud detection — with the reliability requirements that come with moving people's money. We're a 65-person team based in Atlanta, scaling fast as more financial institutions sign on. The work moves quickly, the impact is tangible, and what you build will be in the hands of real users at real institutions. We're looking for bold thinkers to help us get there. Where We Work: This is a remote position open to candidates currently residing in FL, GA, IL, or TX. Atlanta-area candidates will work hybrid (2 days/week in office at The Battery). All other candidates will work fully remote, with quarterly travel to Atlanta required. Who We Need: We’re looking for an Infrastructure Engineer to help bring our Azure infrastructure under Terraform and build the platform our product teams depend on. We have a running production environment; now we need someone to codify it, automate it, and make it self-service. You’ll split your time evenly between platform engineering and operational work, with a clear mandate to reduce the operational burden over time. This is a hands-on technical role with a 50/50 split. Half your time will be spent on platform engineering: Terraforming existing Azure infrastructure, building automation, improving observability, and collaborating with InfoSec on compliance controls. The other half is operational: supporting product teams with infrastructure requests, maintaining CI/CD pipelines, monitoring systems, and responding to incidents. What You’ll Do: Balance platform engineering with operational work (50/50 split). Platform Engineering (50%): • Terraform existing Azure infrastructure. This is the primary mission from day one., • Use AI-assisted tools (Claude Code, Cursor, GitHub Copilot) to accelerate IaC development, automation scripting, and configuration management., • Automate repetitive tasks and build self-service tooling., • Improve observability and monitoring capabilities., • Create runbooks and technical documentation., • Collaborate with InfoSec on security and compliance controls., • Support product teams with Azure infrastructure requests., • Manage Azure resources (VMs, Serverless Functions, App Services, SQL, networking, etc.)., • Maintain CI/CD pipelines and troubleshoot deployment issues., • Apply patches, updates, and security fixes., • Monitor production systems health, performance, and costs., • 5+ years in infrastructure/platform/DevOps roles., • Strong Azure experience (App Services, Serverless, databases, networking, identity)., • Infrastructure-as-code: Terraform or Bicep., • Monitoring: Azure Monitor, Application Insights, Datadog, Grafana, etc., • CI/CD: Azure DevOps, GitHub Actions, or similar., • Scripting: TypeScript, PowerShell, Python, or Bash., • Understanding of networking, DNS, SSL/TLS, mTLS., • Experience leveraging modern AI-assisted development tools (e.g., Claude Code, Cursor, GitHub Copilot) to accelerate infrastructure automation and engineering workflows., • Fintech or regulated industry experience (SOC 2, PCI)., • Configuration management: Ansible, etc., • First 30 days: Understand our Azure environment, shadow on-call, and start Terraforming your first resources., • First 90 days: Own on-call shifts, have meaningful IaC coverage in place, and establish patterns the team can build on., • Weekly on-call rotation (alternating with team)., • Typical escalations: deployment issues, performance problems, outages., • Real Ownership & Impact: Take charge of your work with full autonomy — what you build ships to real users at real financial institutions around the world., • Entrepreneurial Spirit: We welcome bold thinkers who are passionate about driving change, solving hard problems, and pushing innovation forward., • Growth & Development: We invest in your career with professional development support and expanding opportunities as we scale., • Flexible & Collaborative Team: Enjoy a remote-friendly environment and a tight-knit, inclusive team with opportunities for both social and professional engagement., • Competitive Benefits: Medical, dental, vision, disability, 401(k) with match, flexible spending accounts, paid parental leave, paid vacation, and more. Brightwell is an equal opportunity employer committed to employing a diverse workforce and sustaining an inclusive culture.

Figma is growing our team of passionate people on a mission to make design accessible to all. ___, Figma helps entire product teams ___, design and build better products — from start to finish. Whether it’s consolidating tools, simplifying workflows, or collaborating across teams and time zones, Figma makes the design process faster, more efficient, and fun while keeping everyone on the same page. From great products to long-lasting companies, we believe that nothing great is made alone—come ___ with us! We are looking for an experienced Data Scientist to join our growing data team. At Figma, Data Scientists are deeply embedded within cross-functional teams across the company—from Product to Finance, Marketing, and Platform. We are hiring across a number of roles in these areas. This is ideal for someone excited to own high-impact data projects, partner strategically with stakeholders, and shape the future of our products and business. The ideal candidate will bring strong analytical and technical skills, business intuition, and a collaborative mindset to guide decision-making and unlock growth opportunities. You’ll work on problems ranging from understanding user behavior to optimizing revenue strategies, improving internal tooling, and influencing product direction through experimentation and data modeling. This is a full-time role that can be held from one of our US hubs or remotely in the United States. • Collaborate across teams to define and measure key metrics, design experiments, and uncover insights that inform strategic decisions, • Build models and analytical frameworks to support product, marketing, platform, or finance initiatives, • Develop tools, datasets, and systems that enable others to work with data more efficiently and rigorously, • Own complex data projects end-to-end—from problem scoping to solution delivery, • Champion data quality, accessibility, and the democratization of data across the organization, • Partner with Product, Engineering, Design, Research, Sales, Marketing, or Finance to drive impact, • 4+ years of experience in Analytics, Data Science, or a related field, • Fluency in SQL and proficiency in a scripting language like Python or R, • Experience with distributed data systems (e.g., Redshift, Snowflake, Presto, Hive, Spark), • Strong foundation in statistical methods, experimentation, and/or forecasting, • A track record of working cross-functionally and communicating effectively with both technical and non-technical partners, • Experience supporting one or more of the following: Product, Marketing, Finance, or internal Platform/Tooling teams, • A self-starter attitude and the ability to thrive in ambiguous and fast-paced environments At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure If based in Figma’s San Francisco or New York hub offices, this role has the annual base salary range stated below. Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 80% and 100% of range. Please discuss your specific work location with your recruiter for more information. Figma offers equity to employees, as well a competitive package of additional benefits, including health, dental & vision, retirement with company contribution, parental leave & reproductive or family planning support, mental health & wellness benefits, generous PTO, company recharge days, a learning & development stipend, a work from home stipend, and cell phone reimbursement. Figma also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Figma’s compensation and benefits are subject to change and may be modified in the future. Annual Base Salary Range (SF/NY Hub): $136,000 - $338,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an ___ - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to ___. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: • Holding interviews in an accessible location, • Enabling closed captioning on video conferencing, • Ensuring all written communication be compatible with screen readers, • Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with ___.

Vercel gives developers the tools and cloud infrastructure to build, scale, and secure a faster, more personalized web. As the team behind v0, Next.js, and AI SDK, Vercel helps customers like Ramp, Supreme, PayPal, and Under Armour build for the AI-native web. Our mission is to enable the world to ship the best products. That starts with creating a place where everyone can do their best work. Whether you're building on our platform, supporting our customers, or shaping our story: You can just ship things. As a Senior Software Engineer on our Trust & Safety team at Vercel, you’ll build and operate systems that protect millions of developers and projects from abuse at internet scale. You’ll analyze real-world threat actor behavior, detect emerging abuse patterns across large datasets, and design production-ready mitigations to keep the platform safe without slowing developers. This role blends security engineering, data analysis, and applied LLM techniques, working closely with product, infrastructure, and security teams to turn evolving threats into scalable defenses. If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team. • Analyze threat actor behavior and evolving abuse patterns across large, heterogeneous datasets to inform detection logic, policy decisions, and scalable mitigations., • Research, prototype, and implement state-of-the-art LLM-driven techniques for abuse detection, classification, and prevention., • Design and develop production-ready systems that detect and disrupt abusive behavior across the Vercel platform., • Build, maintain, and fine-tune internal tools, datasets, and evaluation pipelines for trust and safety workflows., • Collaborate closely with security, product, and infrastructure teams to bring research ideas into stable, scalable production systems., • 5+ years of experience in abuse prevention, trust & safety, or security engineering., • Strong programming skills in JavaScript/TypeScript and Python., • Hands-on experience working with LLMs, including prompt engineering, evaluation, and fine-tuning., • Collaborate closely with security, product, and infrastructure teams to bring research ideas into stable, scalable production systems., • Solid understanding of cloud infrastructure, including AWS., • Strong understanding of real-world threat actor behavior and abuse tactics., • Experience owning systems end-to-end, from initial research through production deployment and iteration., • Competitive compensation package, including equity., • Inclusive Healthcare Package., • Learn and Grow - we provide mentorship and send you to events that help you build your network and skills., • Flexible Time Off., • We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $196,000 - $294,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

About Otto Aerospace OTTO is developing the world’s first fifth-generation business jet, designed for sustainability through the innovative use of advanced super-laminar aerodynamics and high-precision, net-shaped composites. Flight tests of our technology demonstrator validate a dramatic reduction in fuel burn and allow a sizeable improvement in cabin comfort. Otto Aerospace is designing world-class aircraft from first principles physics and delivering ground-breaking aircraft and economic performance. About the Role Otto Aviation is seeking a dynamic and technically proficient Machine Learning Engineer with software developer experience to join its AI Design and Innovation Lab. In this role, you will contribute to designing and deploying scalable AI/ML solutions, developing efficient infrastructure, and collaborating with teams to address complex problems across various business functions. You will play a critical role in advancing Otto's AI initiatives by building production-grade machine learning systems, optimizing model performance, and supporting innovation in next-generation technologies. What You'll Do • Design and Develop AI/ML Solutions, • Develop and implement models for advanced use cases, such as natural language processing, classification, and recommendation systems, • Apply state-of-the-art machine learning techniques, including large language models (LLMs), generative AI, focusing on performance optimization and scalability, • Optimize Infrastructure and Pipelines, • Design scalable training pipelines and inference systems to handle large-scale data processing, • Develop and optimize data storage and retrieval systems, such as vector databases, to ensure fast and reliable performance, • Software Development and Integration, • Collaborate with the AI Lab and cross‑functional teams to integrate machine learning models into existing systems while contributing to end‑to‑end platforms that combine AI capabilities with intuitive user experiences, • Implement best practices in DevOps, including CI/CD, containerization, and cloud deployment, • Monitor and Improve Model Performance, • Build monitoring tools and evaluation frameworks to track machine learning models in production, ensuring sustained quality, accuracy, compliance, performance, and scalability, • Collaborate with teams to troubleshoot and resolve performance issues, optimizing for latency and efficiency, • Contribute to Innovation, • Support the development of AI-driven automation tools and decision-making systems, • Participate in exploring and piloting emerging technologies to enhance the Lab’s capabilities Who You Are • Hands-on experience in designing, deploying, and maintaining production-grade machine learning systems, • Proven ability to work with both structured and unstructured data in large-scale environments, • Strong problem-solving and analytical thinking abilities, • Excellent communication and collaboration skills to work with cross-functional teams, • Ability to manage competing priorities and deliver high-quality work within deadlines, • Mentor team members and contribute to the knowledge-sharing culture within the Lab Education • Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field (Master’s preferred) Experience • 3+ years of experience in machine learning engineering or software development Required Skills • Machine Learning and AI:, • Experience with LLMs, NLP, generative AI, and advanced deep learning techniques, • Proficiency in PyTorch, TensorFlow, and distributed training frameworks, • Infrastructure and Pipelines:, • Knowledge of scalable data pipelines, inference systems, and cloud computing platforms (e.g., AWS, Google Cloud, Azure), • Familiarity with vector databases, ETL pipelines, and real-time processing systems, • Programming and Development:, • Proficiency in Python, and experience with Java and C++ for building production-grade systems, • Experience with software development practices such as version control (Git), containerization (Docker), and API design, • Data Processing and Analysis:, • Expertise in feature engineering, ETL processes, and handling large-scale datasets, • Strong command of SQL and tools for data manipulation and analysis Preferred Skills • Familiarity with monitoring tools such as Prometheus, MLflow, and OpenTelemetry, • Experience in deploying AI systems with Terraform, Kubernetes, or similar DevOps tools, • Exposure to SaaS platform development or intelligent recommendation systems Where You'll Be This is a remote position, with travel to the temporary company headquarters in Ft Worth, TX, 1 week every 4-6 weeks for team collaboration. Once our new plant in Jacksonville, FL is open (in 1-2 years), you'll travel there 1 week every 4-6 weeks. Benefits Otto Aerospace provides a robust benefits package that includes competitive salaries, subsidized medical, dental, and vision coverage, 401(k) opportunities, paid short term disability, voluntary long-term disability and additional term life, with 15 paid days off, 13 paid company holidays, and paid sick leave. Depending on seniority and role, some roles qualify for potential bonuses and stock options. Otto Aerospace is an Equal Opportunity Employer We are committed to diversity, equity, and inclusion in every aspect of our hiring process. All applicants will be considered for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. We believe that a diverse team brings fresh perspectives, innovative ideas, and greater success. The more inclusive we are, the stronger we become. Applicants must be legally authorized to work in the U.S. #LI-Remote

About SecurityScorecard: SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint. Headquartered in New York City, our culture has been recognized by Inc Magazine as a "Best Workplace,” by Crain’s NY as a "Best Places to Work in NYC," and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of the___ and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.” SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, Google Ventures, and Riverwood Capital. Role Overview: We are looking for a talented and driven Senior Data Scientist to join our fast-moving, growing Data Science team leveraging our vast and unique cybersecurity data assets. As a Senior Data Scientist, you will play a crucial role in developing and implementing advanced machine learning models that drive insights and enhance our cybersecurity platform. You will work on challenging problems, collaborate with cross-functional teams, and contribute directly to the success of our products. Responsibilities: • Build, evaluate, and deploy machine learning models for cybersecurity risk scoring, threat intelligence, and vendor risk assessment., • Perform exploratory data analysis and identify patterns, trends, and anomalies in large and complex datasets., • Evaluate and validate models, ensuring their accuracy, robustness, and scalability., • Collaborate with product managers and engineers to define data science requirements and integrate models into production systems., • Contribute to code reviews, design discussions, and data science best practices., • Stay current on new research and technologies to ensure we leverage state-of-the-art methods., • Communicate findings and recommendations effectively to both technical and non-technical audiences. Qualifications: • Advanced degree in a quantitative field (e.g., Engineering, Computer Science, Statistics, Mathematics) or equivalent professional experience applying data science to complex problems., • 5+ years of experience applying data science and machine learning to real-world challenges., • Proficient in Python and ML/data science frameworks (e.g., scikit-learn, XGBoost, MLFlow, Databricks)., • Experience working with cloud-based data pipelines (AWS, GCP, or similar)., • Solid understanding of ML algorithms, evaluation metrics, and model deployment., • Effective communicator and team player with a passion for solving hard problems., • Prior exposure to cybersecurity, threat intelligence, or risk scoring a significant plus., • Prior exposure and interest in LLMs is a plus. Benefits: Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more! The estimated total compensation range for this position is $170,000 - $205,000 USD (base plus bonus). Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range. In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits. SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law. We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact . Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law. SecurityScorecard does not accept unsolicited resumes from employment agencies. Please note that we do not provide immigration sponsorship for this position. #LI-DNI

Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading. We are looking for a Senior Data Engineer to join our Data Automation team. You will play a critical role in designing and building scalable data platforms and pipelines that power Socure’s identity verification products and analytics. This role is ideal for someone who has a strong passion for solving real business problems with data, and combines deep hands-on data engineering expertise with strong ownership. • Design and build batch and streaming data pipelines to support automated data ingestion, ML feature engineering and analytics across multiple product domains., • Own end-to-end delivery of complex, ambiguous data initiatives, including architecture, implementation, testing, deployment, monitoring, and documentation., • Develop and evolve the data platform to support large-scale data processing using modern cloud-native technologies., • Automate data operations (validation, quality checks, alerting, backfills, and recovery workflows) to reduce manual effort and improve consistency., • Optimize cost, performance, and reliability of data workloads., • Partner closely with cross-functional teams (Data Science, Product, Engineering) to understand requirements, translate them into technical solutions., • Evaluate and adopt new technologies (new processing engines, storage formats, orchestration tools, GenAI-assisted ingestion) to keep the platform modern and efficient., • 5+ years of hands-on data engineering experience, building and maintaining production-grade data platforms and pipelines., • Strong programming skills in general-purpose language (such as Python or Scala) for data processing, and SQL for data analytics., • Deep experience with distributed data processing frameworks, such as Apache Spark, including performance tuning and optimization., • Proven experience building data solutions using services on AWS (EMR, Lambda, s3, etc)., • Strong understanding of data modeling and data warehousing concepts, including partitioning, schema design for large-scale datasets., • Experience operating and supporting production pipelines, including monitoring, alerting, incident response, and improving reliability over time., • Solid foundation in software engineering practices, including version control, CI/CD, testing strategies, and code review., • Strong communication and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholders. Preferred Qualifications • Experience with streaming or near-real-time data processing (Kafka, Kinesis, etc)., • Hands-on experience with data orchestration tools (Airflow, Step Functions, etc)., • Familiarity with modern data platform patterns such as Data Lakehouse, Data Mesh, and large-scale data sharing across teams., • Experience with prompt engineering using modern GenAI, Large Language Models (LLM)., • Experience mentoring other engineers and contributing to engineering-wide standards, best practices. As a note; Socure cannot provide sponsorship now or in the future for this role. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly. Follow Us! ___ | ___ | ___ | ___

Reacher is a YC backed AI SaaS platform building the operating system for TikTok Shop brands and creators. We’re backed by Y Combinator, Pioneer Fund, Rebel Fund, and operators including Steve Huffman (CEO of Reddit), Matteo Franceschetti (CEO of Eight Sleep), Theo Browne (___), Kulveer Taggar (Zeus Living), and Jake Mintz (Bump). We have years of runway and are scaling fast with some of the biggest brands in the world (UnderArmour, Hanes, Logitech, Goli) Our vision is to become the Hubspot for creator marketing, powering brands and creators to connect and grow across all commerce platforms (Youtube Shopping, Instagram Shopping, Shopify, Amazon). We're building key infrastructure for the creator economy and implementing AI with the world's largest brands and creators. Your work will directly impact users on day 1 - our user base depends on our product daily. We build with AI, not around it. Our engineering team uses Claude Code and agentic coding tools as our primary development environment. If you're spending your days directing AI agents to ship code while you focus on architecture, review, and system design — and you can't imagine working any other way — keep reading. * Own and lead product features end-to-end: research, design, implement, test, and ship * Lead and shape engineering architecture - set standards for code quality, testing, and development practices across the stack * Mentor and guide other engineers in adopting AI-native workflows, establishing best practices and patterns * Talk directly to customers and translate vague requirements into polished user experiences * Design scalable backend systems (Python, FastAPI, PostgreSQL, GCP) * Build responsive, delightful UIs (React, TypeScript, Tailwind, shadcn/ui) * Write clean, maintainable, and testable code with minimal oversight * Drive architectural decisions and engineering processes that maximize AI-assisted development velocity * Ship fast and learn fast - high urgency environment Engineering Foundations: * 2–6 years of professional full-stack experience at a product-first company or FAANG-level environment (Senior SDE ownership expected) * Comfortable building features across the entire stack—from schema design and backend APIs to pixel-perfect, accessible frontend * Care deeply about product, design, and user experience—not just code * Have owned something meaningful end-to-end (a product module, infrastructure refactor, major feature launch) * Can set standards for engineering quality and architectural decisions in an AI-native environment * Resourceful and thrive in ambiguous environments—you figure things out independently * Have strong product intuition and can push back on requirements when needed to improve outcomes AI-Native Development: * AI coding experience is your most important and necessary skill - you have deep understanding of modern coding tools, specifically Claude Code, and are proficient with its various modes (Interactive, Plan, Headless, Agent Teams, Delegate) * You're "AI-pilled" when it comes to problem-solving - you tackle any new problem, skill, or architectural challenge by leveraging AI tools and an AI-driven workflow. This is your default approach, not an experiment * Strong systems thinking and architectural awareness - you direct AI to build while you architect, review, and verify. You know when AI output is correct and when it needs correction * Can demonstrate recent AI-native work - you've shipped meaningful projects in the last 90 days where AI coding tools were your primary development environment AI and Agentic Development: * Claude Code proficiency: understanding of modes, context engineering (___), custom commands, MCP integrations, and subagent coordination * AI-driven development workflows and effective prompt engineering * Ability to decompose complex engineering work into tasks suitable for AI assistance * Strong judgment for when to leverage AI vs. when to code directly * Experience verifying and reviewing AI-generated code for correctness, security, and maintainability Backend: * Python, FastAPI, PostgreSQL * System design and scalable architecture * GCP/cloud infrastructure * API design (REST/GraphQL) Frontend: * React, TypeScript, Next.js * Tailwind CSS, shadcn/ui * State management (Redux, Zustand, React Query) * Frontend performance optimization and accessibility (WCAG) General: * Testing frameworks (Jest, React Testing Library, Cypress/Playwright) * Code reviews, documentation, and establishing conventions * Product analytics tools (Amplitude, Mixpanel) for data-driven development * Experience building autonomous agents with the Claude Agent SDK or similar agentic frameworks—you understand multi-agent orchestration, MCP integrations, and production agent deployment * Experience with AI image/video generation or manipulation - familiarity with tools like Midjourney, Runway, Stable Diffusion, Sora, or integrating generation APIs into product workflows * You've worked at an early-stage startup or been a first/early engineering hire * You've built internal tooling, dashboards, or systems that scaled to thousands of users * You've led technical initiatives or mentored junior engineers * You've built or maintained design systems * You're curious about AI, e-commerce, or automation—we work in that space * You've shipped side projects or contributed to open-source * You've worked directly with designers and can contribute to design discussions * Post-revenue company solving real problems for real customers * Be a technical leader—define our engineering culture and standards as we scale * High autonomy and visibility—no boring tickets * Your code reaches users within days, not months * Strong engineering-first culture that embraces cutting-edge AI tools * Shape both the product and the company Please send a short note about a complex problem you solved or a new skill you mastered specifically using an AI-driven workflow. GitHub/LinkedIn/resume is great, but we care more about how you think, build, and leverage AI. If you have examples of projects where AI coding tools were central to your workflow in the last 90 days, we'd love to see them.

Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective. With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands, increasing reliability and performance while lowering costs—and enabling confident, data-driven decision-making in dynamic environments. As a Senior Software Engineer at Striveworks, you’ll be challenged—and trusted—on day one to be a core contributor to the products and direction of the company. Our customers use Chariot, our flagship product, to develop, deploy, and maintain production ML models. We’re looking for exemplary engineers with a product mindset who can write quality code in Go and Python and who ultimately want to be core contributors to the direction of the company. You’re right for this challenge if you value and possess technical expertise, if you push the boundaries of your own capabilities, and if you are outcome driven, not requirements driven. We’re looking for people who are excited about our central development themes: • Everything as Code, • Cloud-neutral development, • User-centric design, • Hexagonal, event-driven, microservices architecture, • Optimizing, deploying, and refining AI models and algorithms This position offers a fully remote work environment, or you can work hybrid/on site at our office in northwest Austin, TX. In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. Collectively, we value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results. Here’s what else we’re looking for: • 6–8 years of hands-on development experience, • Excellence in Go, C++ (17 or higher), Java (11 or higher), C# (9 or higher), or Rust, • Strong background in relational database design, architecture, operation, and performance, • Proficiency in Python, • Experience with DevOps tooling: CI/CD tools, Git, Docker, Kubernetes, • Proven experience with cloud architecture: commercial cloud, OpenStack, • Experience in the design and development of performant, scalable services, • Ability to work cross-functionally and participate in or lead design discussions, • Ability to independently lead the software development life cycle, from collaborating with product teams on requirements to executing technical design, implementation, and deployment, • Experience in knowledge sharing, mentoring, and coaching (e.g., onboarding, code reviews, leading junior engineers), • Strong understanding of software development principles, such as object-oriented programming, design patterns, documentation, and agile methodologies, • Driven, self-directed personality, • Strong sense of mission and commitment to making a difference, • Bachelor’s degree in CS or related field, or similar experience, • Due to the nature of this role, candidates must be a US person (a US citizen, a US national, or a Green Card holder) We’re very interested in developers who possess the above qualifications, and we heavily appreciate and consider the addition of: • Professional experience designing Postgres databases and optimizing query performance on them, • Familiarity with non-relational database design and architecture, • Understanding of synchronous/asynchronous programming and concurrency, • Comfort with integration of deep learning libraries (e.g., PyTorch, TensorFlow), • Experience designing RESTful, gRPC, or GraphQL APIs, • Understanding of networked and distributed computing, • Knowledge of messaging systems (e.g., NATS, Kafka, RabbitMQ), • Experience with workflow automation The anticipated base pay range for this position is $160,000 to $200,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses. • Medical/dental/vision insurance, • Voluntary life, long-term disability, accident, and hospital indemnity insurance, • HSA and FSA (including dependent care FSA) plans, • 401(k) plan, • Unlimited PTO, • Paid parental leave Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind. If you require assistance or a reasonable accommodation in the application process, please contact Operations at . Striveworks is a participating employer in the E-Verify program.

Luxury Presence is building the AI growth platform for real estate. Backed by Bessemer Venture Partners and other top investors, we're a Series C company on track to hit $100M in annual recurring revenue in the next six months. More than 87,000 real estate professionals, including over 30% of the WSJ Real Trends top 100 agents in the United States, use us to run and grow their business. We don't just use AI. We build with it, ship with it, and think with it. We're in the top 1% of companies applying AI effectively, not just to our products, but to how we build them. With an unlimited budget for Anthropic tokens, our engineers use AI agents to write, review, and ship production code every day. We're building toward a world where humans design systems and AI builds them, and we're already further along that path than almost anyone else. As a Staff Software Engineer, you'll be a technical leader at the center of this transformation. You'll shape platform architecture, drive AI-powered product delivery, and raise the bar for what a small, AI-augmented engineering team can accomplish. This is a role for someone who already lives in their terminal with AI, who has strong opinions about how AI changes system design, and who wants to help define what a next-generation engineering organization looks like. Own and evolve a tool-agnostic analytics layer powering business decisions. Design and maintain scalable, well-modeled datasets using dbt, Snowflake, and a semantic layer—transforming raw data into trusted, high-quality metrics used across Product, GTM, Finance, and Operations. Partner deeply with analysts and business stakeholders. Collaborate with Data Analysts, Product, and business leaders to define metrics, enable self-service analytics, and deliver insights that directly impact decision-making and product development. Drive data quality, consistency, and trust at scale. Implement robust testing, monitoring, and validation frameworks to ensure data accuracy and reliability, while standardizing metric definitions across the organization. Build data products and AI-powered analytics systems. Develop systems such as AI-driven support ticket classification and contribute to building an AI agent that can act as a Data Analyst—leveraging the semantic layer to answer business questions and generate insights. * You already build with AI daily. You use Claude Code as a core part of your workflow, not as a novelty * You have strong opinions on how AI can enhance analytics workflows, data modeling, and decision-making * You think in systems. You connect technical decisions to customer outcomes and long-term business value * You communicate clearly and directly. You can explain complex tradeoffs to product, design, and executive stakeholders * You're energized by ambiguity and speed. You thrive in a fast-growing company where the roadmap evolves and ownership is real * You like to have fun at work. We take our craft seriously, but we don't take ourselves too seriously. We celebrate wins, crack jokes, and genuinely enjoy building together * 8+ years in analytics engineering, data engineering, or related roles, including time operating at a large scale or leading cross-functional initiatives. * Deep proficiency with dbt, including building and maintaining large-scale transformation layers and reusable models. * Strong SQL skills and a background working with Snowflake or similar cloud data warehouses. * Designing and operating scalable semantic layers to provide consistent, reliable metric definitions across the organization. * Expertise in designing modular, scalable data architectures (e.g., Kimball or OBT) that balance query performance with ease of use for downstream analysts. * A history of building data quality frameworks, testing strategies, and monitoring for analytics datasets. * Building data products or internal tools while partnering with product and business teams to define metrics and drive decisions. * Expert-level grasp of software design principles and a deep understanding of multi-tenant platform architectures. * Proven track record leading high-impact analytics initiatives from concept through delivery. * Frontend: Sigma, Hex * Backend: dbt, SQL, Python * Data: Snowflake * Infrastructure: Airflow $180,000 - $220,000 a yearJoin us in shaping the future of real estate The real estate industry is in the midst of a seismic shift, and the future belongs to those who break new ground. As one of the fastest-growing companies in the proptech and marketing sectors, Luxury Presence challenges the status quo of what technology can do for real estate agents, leaders, and brokerages. We're a team of agile and tenacious innovators working collaboratively to drive the industry forward. Together, we build game-changing products that empower modern real estate entrepreneurs to dominate their markets. From award-winning web design to agile SEO solutions to cutting-edge AI tools, we deliver tech that anticipates market shifts and keeps our clients ahead of their competition. Founded in 2016 by Stanford Business School alum Malte Kramer, Luxury Presence has grown to a global team ranked on the Inc. 5000 fastest-growing companies list three years in a row. We're backed by world-class investors, including Bessemer Venture Partners, NextEquity Partners, Toba Capital, and Switch Ventures, and have raised $89 million to date. More than 18,000 real estate businesses rely on our platform, including 30% of the Wall Street Journal RealTrends top agents and teams. Additionally, many of the industry's most powerful brokerages rely on Luxury Presence as a trusted business partner. Every year since 2020, Luxury Presence has ranked on BuiltIn's Best Place to Work lists. HousingWire named our founder and CEO a 2024 Tech Trendsetter, we've received several Tech100 Awards, and we just scored an Inman Innovation Award for Best AI-Powered Platform. Luxury Presence is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.

Location: NYC preference - will accept Remote USA to work EST hours - Will accept LATAM region to work EST hours, and also Tel Aviv Remote | Full-time Compensation: $160K - $200K Our client is a pioneer in automated, on-chain economic security systems, providing high-fidelity custom EVM simulations to protect and optimize decentralized finance (DeFi) protocols. Trusted by the industry’s leading platforms to secure and manage billions of dollars in assets, our client enables crypto protocols to refine risk management and capital efficiency through actionable, data-driven insights. The organization is seeking a proactive and results-driven Full-Stack Engineer to join their AI division. Reporting directly to the Head of Product & AI, this individual will play a critical role in collaborating with the CEO and the AI team to develop a sophisticated financial AI agent. The ideal candidate thrives in high-velocity, self-directed environments and possesses the technical breadth to manage everything from scalable backend services to high-performance, user-facing interfaces. Key Responsibilities • System Design: Architect and build robust full-stack systems to power a proprietary AI financial agent., • API & Backend Development: Develop scalable APIs and backend services designed to support complex agent workflows., • Interface Engineering: Build high-performance user interfaces that visualize agent reasoning, surface deep financial insights, and enable real-time interaction., • AI Integration: Collaborate closely with AI researchers to productionize agent logic and integrate Large Language Model (LLM) frameworks., • Data Management: Connect and manage complex data pipelines sourced from various financial providers., • Operational Excellence: Implement rigorous testing, monitoring, and performance best practices to ensure system reliability., • Innovation: Stay at the forefront of LLM frameworks, full-stack development tools, and evolving financial trends to maintain a competitive edge. Interview Process • Initial Screening: 30-minute call with Recruiter / HR., • Hiring Manager Interview: 30-minute discussion with the Head of Product & AI., • Technical Evaluation I: 1-hour session focused on LeetCode-style challenges (AI tool usage permitted)., • Technical Evaluation II: 1-hour session focused on syntax and programming fundamentals (AI tool usage permitted)., • Executive Interview: 30-minute final discussion with the Founder / CEO., • Experience: 5+ years of professional full-stack development experience, preferably in fast-paced or emerging technology sectors., • Technical Stack: Strong proficiency in Python (FastAPI), JavaScript/TypeScript, Node.js, and React., • Backend Expertise: Proven experience building scalable APIs, web applications, and a solid knowledge of both relational and non-relational databases., • AI & LLM Proficiency: Hands-on experience with LLMs and frameworks such as LangChain or similar; familiarity with vector databases, RAG pipelines, and asynchronous programming., • Domain Knowledge: Professional experience working with financial data and APIs., • Location: Ability to work from the Brooklyn, NY office five days a week. Preferred Qualifications: • Previous experience building and deploying LLM-based agents in production environments., • Familiarity with prompt engineering, tool use orchestration (MCP), and semantic search., • Experience with embedding pipelines and RAG architectures., • Time Off: Competitive PTO (21 days), sick leave (7 days), and 8 observed US company holidays., • Health & Wellness: 100% employer-paid medical, dental, and vision insurance for employees and their dependents; access to FSA or HSA options., • Family Support: A thoughtful and inclusive Parental Leave Policy., • Corporate Wellness: Access to premium programs including OneMedical, Teladoc, Talkspace, and Employee Assistance Programs (EAP)., • Professional Growth: Career advancement opportunities within a rapidly expanding global technology firm, including personalized professional development., • Commuter Benefits: Pre-tax commuter benefits to support office-based work. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing . MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting .

Join Aya Healthcare, winner of multiple Top Workplace awards! Come join our Data Operations team! In this hands-on role, the ideal candidate would help design, develop, and implement large scale, high-volume, high-performance, scalable data infrastructure and pipelines for client integrations. This person will have strong experience in cloud data design and management on the Azure platform. This person will join a nimble team working in a fast-paced environment for a great company where your opinion and experience matter. WHO WE ARE: We’re an $8+ billion, rapidly growing workforce solutions provider in the healthcare industry. We deliver tech-enabled services that help healthcare organizations meet and manage their contingent labor needs. We build and manage tech-enabled marketplaces for national and local healthcare talent and deliver contingent labor management solutions through our proprietary software platform. At Aya, we’re obsessed with creating exceptional experiences for our clients, clinicians and employees. In fact, we put employee satisfaction above all else. Our team members are responsible for incomparable customer experience and we know that happy employees are critical to maintaining happy clients. We foster an entrepreneurial, high-energy, low-bureaucracy culture and value innovative thinking and creative problem solving. We embrace diversity in thought and backgrounds unified by a commitment to high achievement. When you join Aya, you’ll be surrounded by teammates who care about you as an individual and leaders who will help you grow both personally and professionally. RESPONSIBILITIES: • Monitor and troubleshoot data pipeline and warehouse quality and performance issues, ensuring smooth operation and proactively addressing potential bottlenecks, • Design, build, and maintain scalable ETL/ELT pipelines to transfer data to and from clients from diverse sources, such as APIs, cloud storage, and databases, • Collaborate with client engineering teams to understand their data structures, identify source systems, and contribute to technical integration requirements, • Stay updated with industry trends and advancements in data engineering and bring innovative ideas to continuously improve our data processes, • Ensure data security, privacy, and compliance by implementing appropriate Azure policies, procedures, and encryption methods, • Monitor and optimize the performance, scalability, and cost-efficiency of data storage and processing solutions on Azure REQUIRED QUALIFICATIONS: • Bachelor’s degree in computer science, information systems, or a related field, • 2+ years of experience in cloud data architecture, design and data governance, • Strong experience with Azure cloud services, such as Azure Data Lake Storage, Azure Data Factory, and Azure Synapse, • Proficiency in programming languages, such as SQL, Python, Scala, or Java, • Experience with big data processing frameworks, such as Apache Spark, Hadoop, or Apache Kafka on Azure, • Knowledge of various data storage solutions, such as relational databases, etc., • Creating & Managing documentation on methodologies, tools and techniques, • Strong analytical problem-solving and the ability to explain complex technical designs to non-technical stakeholders, • Willing and able to work irregular hours as needed WHAT WE OFFER: • Free premium medical, dental, life and vision insurance, • Generous 401(k) match, • Aya also offers other benefits to those that are eligible and where required by applicable law, including reimbursements and discretionary bonuses, • Aya provides paid sick leave in accordance with all applicable state, federal, and local laws. Aya’s general sick leave policy is that employees accrue one hour of paid sick leave for every 30 hours worked. However, to the extent any provisions of the statement above conflict with any applicable paid sick leave laws, the applicable paid sick leave laws are controlling, • Celebrations! We hit our goals and reward ourselves., • Company-sponsored virtual events, happy hours and team-building activities are always on the horizon — plus, you get a special treat on your birthday!, • Unlimited DTO — we believe in time off!, • Virtual yoga, meditation or boot camp classes offered daily COMPENSATION: Aya reasonably anticipates the pay scale for this position to be an annual salary of $100,000. The pay scale for this position may vary if applicant possesses experience outside of what Aya reasonably anticipates for this position. Bonuses are subject to the role and your manager’s discretion. Aya is an Equal Opportunity Employer (EEO), including Disability / Vets, and welcomes all to apply. Please click ______for our EEO policy.

About the role We are hiring a Staff Data Scientist to define and lead the data science strategy for Coalition’s insurance business. In this role, you will own some of our most important analytical and modeling problems across underwriting, claims, CoalitionRe, and portfolio management helping us to move the organization from ad hoc analyses to reusable, rigorous decision frameworks. You’ll lead multi-quarter, cross-functional initiatives, design and analyze complex experiments and quasi-experiments, and build data and modeling assets that become the source of truth for leaders. Your work will shape how we measure performance, price and select risk, structure reinsurance, and allocate capital, while mentoring other scientists and analysts to raise the technical bar across the team. Responsibilities • Define and lead the data science strategy for Coalition’s insurance business, driving multi-quarter initiatives across underwriting, claims, CoalitionRe, and portfolio management., • Lead cross-functional analytics and data science projects that uncover insights and optimization opportunities across the end-to-end customer and broker journey, from submission through renewal and expansion., • Provide technical leadership and guidance to other data scientists and senior analysts, setting a rigorous technical bar and developing repeatable frameworks (e.g., experimentation, causal analysis, model evaluation) that move the team away from one-off analyses., • Design and analyze experiments and quasi-experiments (e.g., guideline changes, pricing strategies, broker programs), establishing best practices for test design, power, guardrails, and interpretation in low-frequency / high-severity insurance settings., • Define, document, and maintain core insurance funnel and portfolio metrics (e.g., submission-to-bind, hit rate, loss ratio, frequency/severity, attachment points), and build automated dashboards and reporting used by leadership for decision-making., • Develop data models and scalable analytical / ML workflows that improve reliability, repeatability, and time-to-insight for insurance stakeholders and downstream teams., • Analyze disparate data sources (policy, exposure, pricing, claims, broker behavior, reinsurance, external data) and synthesize findings into clear, influential narratives with prioritized recommendations., • Influence product, insurance, and revenue leadership with data-backed recommendations, shaping roadmaps, investment decisions, and OKR tracking., • Mentor and uplevel junior and senior analysts/scientists, contributing to team best practices, code quality, documentation, and review processes; help shape the data science culture and career pathways., • Champion innovation in methods and tooling, including causal inference, advanced statistical techniques, and appropriate application of ML/AI to unlock new capabilities and scale impact. Skills and Qualifications • 10+ years in analytics or data science with a consistent track record of measurable product, underwriting, or revenue impact., • Deep domain experience (8+ years) in the Insurance industry, ideally P&C or cyber/E&O, working closely with underwriting, claims, actuarial/portfolio, or reinsurance teams., • Expert SQL, including complex data modeling, performance optimization, and clear, maintainable documentation., • Expert in Python or R for analysis, experimentation, and reproducible workflows (e.g., notebooks, scripts, modular libraries)., • Strong grasp of statistical methods: hypothesis testing, experiment design, causal thinking (e.g., quasi-experimental designs, difference-in-differences, propensity scores), and robust interpretation under real-world constraints., • Experience with BI tools such as Looker or Tableau, and the ability to design reliable, executive-ready dashboards and self-serve measurement layers., • Excellent communication and stakeholder management skills; able to translate complex technical work into clear, actionable language for senior non-technical audiences., • Demonstrated ability to lead cross-functional initiatives end-to-end: framing ambiguous problems, aligning stakeholders, delivering high-quality work, and landing the change in partner teams. Bonus Points • Exposure and usage of AI-assisted coding IDEs like Cursor or GitHub Copilot to improve development and analysis velocity., • Technical rigor to move the team from "one-off" reports to repeatable AI frameworks., • Domain experience in fintech or adjacent regulated industries in addition to insurance., • Familiarity with broader go-to-market and servicing tools and data, such as Looker, Amplitude, Google Analytics, Marketo, Salesforce, Segment, or Zuora., • Experience with analytics and data workflows such as dbt or Airflow, especially for productionizing analytical datasets or model pipelines., • Hands-on experience with causal inference methods and quasi-experimental designs, including applying them in noisy, operational insurance environments. Compensation Our compensation reflects the cost of labor across several US geographic markets. The US base salary for this position ranges from $157,900.00/year in our lowest geographic market up to $211,500.00/year in our highest geographic market. Consistent with applicable laws, an employee's pay within this range is based on a number of factors, which include but are not limited to relevant education, skills, job-related knowledge, qualifications, work experience, credentials, and/or geographic location. Your recruiter can share more on target salary for your location during the interview process. Coalition, Inc. reserves the right to modify this range as needed. Perks • 100% medical, dental and vision coverage, • Flexible PTO policy, • Annual home office stipend and WeWork access, • Mental & physical health wellness programs (One Medical, Headspace, Wellhub, and more)!, • Competitive compensation and opportunity for advancement

LTK’s mission is to empower the world’s premium lifestyle Creators to achieve maximum economic success. We have a huge opportunity ahead of us and we’re looking for team members who want to create, innovate and disrupt an industry. We empower our team members to drive innovation, create value, and continue to spearhead the creation of this industry — a game changer when it comes to career growth. Title: Staff Engineer, Commissions and Payouts Location: Remote from the U.S. About the role The Commissions and Payout Engineering team is responsible for streamlining revenue financial workflows to ensure our Finance and Accounting teams can close the books with a high degree of accuracy and confidence. The systems we build need to be scalable and accurate as we handle revenue operations for LTK. Some of the projects we are focused on are building infrastructure for revenue affiliate integration, settlement, and cash reconciliation of all transactions and payments, generating invoices for our bundle partners, and revenue partner workflows. How you will make an impact • Be a technical leader and core leader within the Revenue Engineering team, • Support members of a squad in delivering scalable, auditable, secure and reliable data/backend - services, • Coordinate technical projects spanning multiple squads and facilitate collaboration between engineers and product managers, • Possess a deep understanding of the product and business goals which you can translate into tech requirements, • Architect, design, develop, deploy and operate services that are responsible for processing LTK’s revenue before sending it to the ERP-system, • Mentor other engineers, • Drive good engineering practices within your team(s) and define and teach these, • Contribute to the vision and long-term strategy in your domain of expertise, • Be a department-level expert in Revenue,and serve as the go-to person for solving problems in your domain of expertise, • Provide leadership in staying up to date with the developments in relevant technologies and market trends to identify enhancements, • Evaluate external vendors and partners as needed from time to time, • Participate in the recruitment & interviewing process of engineers What you will bring to LTK • Strong business acumen to understand all aspects of the businesses including sales, order processing, operations/fulfillment and accounting, • Knowledge of enterprise architecture frameworks, proficiency in business process modeling and redesign, requirements management, • Strong verbal and written communication skills to work effectively with business units and communicate effectively with team members, stakeholders, and management, • You are an experienced technical leader, • You have extensive experience in designing and building both highly reliable traditional back-end services & distributed data processing services, • You are experienced with deploying and operating services in the cloud, • You have a deep understanding of system design, data structures and architecture, • You care about quality and know the importance of shipping high-quality code, • Experience of working in a SOX-compliant environment before is a plus but not required Technical Skills: • 10+ years with software backend systems, architectures and infrastructure., • 5+ years with the data architecture, data processing tools and reporting technologies., • History of building highly scalable distributed systems and processes in a cloud environment., • Proven experience designing and scalable reporting data stores., • Experience with Python, Golang preferred., • Experience working in a Dockerized environment., • Experience in building products and features in CI/CD environments., • Experience with AWS services such as ECS, Lambda, RDS, Redshift, Glue (among others)., • Have built scalable internal and public facing APIs (RESTful, JSON, HTTP), • Experience working with kafka, and postgreSQL., • Microservices and Event Driven Architecture., • Experience integrating 3rd party API's (REST, OAuth)., • Experience designing extensible systems that are used as a platform or foundational service., • Knowledge of affiliate advertising space preferred, understanding of nuances with network data., • Background or familiarity working with Finance or accounting partners and stakeholders. #LI-JF1 • The opportunity to be part of the leading global company in creator commerce, • A remote-first, productivity-first environment, • Competitive compensation and benefits package to meet the needs of you and your family, • 401(k) with LTK company matching, • Medical Insurance, Vision Insurance, Dental Insurance, • Paid Maternity Leave and Paid Paternity Leave, • Summer Fridays and Flexible PTO Founded in 2011, LTK is the global technology platform purpose-built to empower lifestyle creators to monetize their content. The full-service platform connects brands, creators, and shoppers with a world-class shopping app and trusted tools and technology that make content instantly shoppable. Today, premium lifestyle creators in 160+ countries drive more than $5 billion+ in annual retail sales through their LTK Shop profiles. More than 40 million consumers turn to LTK Shops in the LTK shopping platform each month to find inspiration and instantly shop the styles recommended by their favorite creators. More than 8,000 retailers and 1M brands partner with LTK to gain access to its global creator network for content that converts against performance-driven, cross-channel KPIs. LTK is headquartered in Dallas, TX, and currently operates on five continents. To empower the world’s premium lifestyle Creators to achieve maximum economic success. • Here to win, • Commit to the journey, • Work well LTK believes diversity, equity, and inclusion are fundamental obligations that strengthen our team. We employ a diverse, multi-disciplinary team to build a meaningful company and culture. For US-Based Roles: We are not offering new sponsorships opportunities at this time for persons requiring employment visas, such as an H-1B; authorization to work in the U.S. is a precondition of employment. Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of LTK are considered the property of LTK and are not subject to payment of agency fees. LTK is an Equal Opportunity Employer. #LI-Remote

___ builds AI for the mining industry. We integrate with existing mine infrastructure — cameras, SCADA systems, drones, and data repositories — to predict equipment failures, detect unsafe behaviors, and optimize operations. Our platform deploys intelligence in various ways to improve productivity and safety — monitoring PPE compliance via computer vision, optimizing froth flotation processes, analyzing longwall shearer performance, tracking MSHA citation patterns, and more. Our founders started their careers at Palantir before going on to build Blend Labs (publicly traded fintech, founded as CTO) and Even (acquired by Walmart). Our leadership team brings experience from Uber, Metropolis, and other high-bar organizations. We're a small, senior team that ships daily to production mines. AI isn't just our product — it's how we build. We're an AI-first engineering team that uses the latest models and tooling throughout our development process, moving faster and at higher quality than traditional teams our size. Our culture values high agency, deep ownership, collaboration, and autonomy across a fully remote workforce. Teams here move quickly and make meaningful contributions to a product that shapes global industrial outcomes. What You'll Do You'll work alongside senior engineers on real features that run at active mine sites — not internal tooling or throwaway projects. We expect new grads here to ramp quickly and take on meaningful ownership within their first few months. * Build and extend our TypeScript backend serving real-time mining operations data * Ship features end-to-end: from database to API to React UI * Work on applied AI features using LLMs for intelligent analysis and automation * Contribute to computer vision pipelines leveraging AWS Rekognition, TensorFlow, and OpenCV * Deploy to production with CI/CD, with increasing ownership over time * Interact directly with users and translate real-world operational challenges into features * Work closely with our CEO and a senior team invested in making you great Tech Stack * Backend: TypeScript, Node.js, Prisma, PostgreSQL, GraphQL * Frontend: TypeScript, React * AI/ML: LLMs, AWS Rekognition, TensorFlow, OpenCV * Infrastructure: Docker, Kubernetes, DigitalOcean, AWS What We're Looking For Must-Have Qualifications * BS in Computer Science or a related field (completed or completing in 2025) * Strong CS fundamentals — data structures, algorithms, and system design * Proficiency with agentic coding tools (Claude Code, Codex, or Cursor) and an AI-first development style * Comfort working across the stack * Ability to work independently and ramp without heavy hand-holding * US citizen or permanent resident, based in the US Nice-to-Have Qualifications * Prior internship experience working on a production codebase * Strong TypeScript proficiency * AI, computer vision, or ML experience * Startup or fast-paced team experience What You'll Get * Competitive salary and equity * Real ownership from day one: your code ships to production mines * Direct mentorship from a senior team with deep startup and industry experience * A front-row seat to building AI infrastructure for a critical global industry Interview Process * Engineering quiz (async, ~60 min) — A 10-question code reading and analysis assessment. You pick your language (TypeScript, Python, Go, or C++) and answer questions covering code comprehension, bug detection, performance analysis, and system design. No trick questions — we're testing how you think about real code. * Live coding interviews (3 x 1-hour sessions) — Algorithmic problem solving and a simulated development tasks. * Behavioral interview with senior leadership — Culture fit, working style, and past experience. * Reference checks

At Wyetech, you’ll be at the center of an award-winning corporate culture, breaking technological barriers and solving real-world problems for our federal government customers. We are committed to hiring the best of the best, and in return, we offer a world-class, truly unique employee experience that is rare within our industry. The Software Engineer designs, develops, tests, deploys, documents, maintains, and enhances complex and diverse software systems based upon documented requirements. These systems might include, but are not limited to, processing intensive analytics, novel algorithm development, manipulation of extremely large data sets, real-time systems, business management information systems, and systems which incorporate data repositories, data transport services, and application and systems development and monitoring. Works individually or as part of a team. Reviews and tests software components for adherence to the design requirements and documents test results. Resolves software problem reports. Utilizes software development and software design methodologies appropriate to the development environment. Provides specific input to the software components of system design to include hardware/software trade-offs, software reuse, use of Open Source Software (OSS) and/or Commercial OffThe-Shelf (COTS) Government Off-The-Shelf (GOTS) software in place of new development, and requirements analysis and synthesis from system level to individual software components. Experience developing in Unix. Ability to perform shell scripting. Working knowledge of Configuration Management (CM) tools and Web Services implementation. The Software Engineer shall be responsible for creating and maintaining data workflows and automation pipelines using Apache Airflow. This role focuses on building reliable, scalable, and observable workflow orchestration solutions that support data engineering, analytics, and operational use cases. The engineer will collaborate closely with data engineers, platform teams,and stakeholders to ensure workflows are efficient, secure, and production ready. Telework: 16 hours/week Due to federal contract requirements, United States Citizenship and position appropriate security clearance is required. (e.g. Active TS/SCI security clearance with agency appropriate polygraph). • Analyze user requirements to derive software design and performance requirements., • Debug existing software and correct defects., • Design and code new software or modify existing software to add new features., • Write or review software and system documentation., • Integrate existing software into new or modified systems or operating environments., • Develop simple data queries for existing or proposed databases or data repositories., • Software development using languages such as C, C++, Python, Ruby, Perl, JavaScript, etc., • Has experience with agile development processes., • Has experience with source code control systems, such as Git., • Serve as team lead at the level appropriate to the software development process being used on any particular project., • Design and development of relational and non-relational database applications., • Use of orchestration frameworks such as Spring and Kafka., • Familiarization with queue management systems, • Develop or implement algorithms to meet or exceed system performance and functional standards., • Develop and execute test procedures for software components., • Develop software solutions by analyzing system performance standards and conferring with users or system engineers; analyzing systems flow, data usage and work processes; and investigating problem areas., • Modify existing software to adapt to new hardware or to improve its performance., • Design, develop, and modify software systems using scientific analysis and mathematical models to predict and measure outcomes and consequences of design decisions., • Java development using the Eclipse IDE (Integrated Development Environment)., • Development of Java 2 Enterprise Edition (J2EE) applications, • Experience using collaboration and software development tools (ie. Atlassian)., • Software development using continuous integration practices., • Experience with container technologies (ie. Docker)., • Unix shell scripting, • Development of event driven, or data driven analytics, • Development of cloud-based solutions and technologies., • Design or implement complex algorithms requiring adherence to strict timing, system resource, or interface constraints. Perform quality control on team products., • Recommend and implement suggestions for improving documentation and software development process standards., • Oversee one or more software development teams and ensure the work is completed in accordance with the constraints of the software development process being used on any particular project., • Confer with system engineers and hardware engineers to derive software requirements and to obtain information on project limitations and capabilities, performance requirements, and interfaces., • Coordinate software installation on a system and monitor performance to ensure operational specifications are met., • TS/SCI with agency appropriate poly, • Master’s degree in computer science or related discipline from an accredited college or university, plus three (3) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity.OR, • Bachelor’s degree in computer science or related discipline from an accredited college or university, plus five (5) years of experience as a SWE, in programs and contracts of similar scope, type, and complexityOR, • Seven (7) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity., • Experience using the Linux CLI and Linux tools, • Experience developing Bash scripts to automate manual processes, • Recent software development experience using Python and Java, • Experience using Apache Airflow (DAG design, scheduling, operators, sensors) to orchestrate, schedule, and monitor complex workflows, • Experience using Distributed Big Data processing engines including Apache Spark, • Experience with containerization technologies such as Docker, containerd, and Podman, • Experience with Git Source Control System, • Experience using the Atlassian Tool Suite (JIRA, Confluence), • Familiar with AWS Cloud Services and Infrastructure, • A Choice of Medical Plan Options, some with Health Savings Account (HSA), • Vision and Dental, • Life and AD&D Benefits, • Short and Long-Term Disability, • Hospital Indemnity, Accident, and Critical Illness Insurances, • Optional Identity Theft and Legal Protection Services, • Employee Referral Bonus Eligibility up to $10,000, • Mobility Among Wyetech-supported Contracts, • Various contract and work locations throughout Maryland, Virginia, Colorado, Texas, Utah, Alaska, Hawaii and OCONUS, • Various team-building events throughout the year such as: monthly lunches, summer company picnic, and an annual holiday party.

About Us We are a growing company that distills insights from satellite imagery and various other geospatial data sources into actionable intelligence for energy companies, financial market actors, and government agencies. We are looking for an experienced engineer to join our technical team and help shape our product trajectory. The Role We are looking for a Senior Full-Stack Engineer who embraces AI agents to supercharge their workflows. Partnering with other developers on large-scale projects, you will leverage your deep technical expertise to rapidly prototype and develop solutions across our backend and frontend systems to power our products. Key Responsibilities System Architecture: Design scalable near-real-time data streams, integrating data from multiple sources into analytics pipelines and relational databases.Data Management and Access Optimization: Improve robustness and performance of our SQL DB setup to facilitate high performance inserts of our data streams and API reads for our customersData Visualization: Ensure vast quantities of geospatial and tabular data are visually explorable in a reproducible, performant format.Accelerate Development: Utilize AI coding agents to assist in the Software Development Life Cycle (SDLC) and help establish best practices for agentic workflows.Cross-Functional Support: Work alongside software engineers and data scientists, providing programming and infrastructure support for MLOps and data science initiatives.Technical Direction: Help shape our engineering direction by implementing robust data management practices and staying current on emerging technologies in data processing.Ensure Code Quality: Refactor, profile, and optimize codebases. Implement rigorous integration testing, debugging, and deployment automation for cloud microservices. The Tech Stack Cloud: Google Cloud Platform (GCP)Backend & Data: Python (API First), PostgresFrontend & Middle-Tier: TypeScript (React) • Work Authorization: Must be a US Citizen or US Permanent Resident., • Location/Timezone: Must be located and working within Central Time (CT) or Eastern Time (ET) zones (no West Coast/Pacific Time)., • Education: BS degree in a STEM field., • Experience: 4+ years in a full-stack software engineering role, with a strong focus on data engineering., • Cloud Experience: 2+ years of hands-on experience in modern Cloud Systems (GCP, AWS, or Azure)., • Core Languages: Production-grade proficiency in Python and TypeScript., • Technical Expertise: In-depth understanding of software engineering best practices, performant frontend interfaces, relational database design/optimization, and scalable API design., • AI Workflows: Experience with (or a strong, demonstrated interest in) adapting the SDLC for AI-assisted development., • Communication: Strong communication and coordination skills tailored for a distributed team environment spanning US and UK., • Domain knowledge in the Energy, Oil & Gas sectors., • Experience with geospatial data processing tools and databases., • Familiarity with additional languages, such as Go, Rust or C#., • Compensation: Competitive salary and comprehensive benefits (medical, dental, vision)., • Growth: Opportunities for career advancement as technical team member., • Flexibility: A fully remote role within a collaborative environment, plus optional access to our Houston office., • Impact: Direct involvement in products utilized by major players in the energy sector and government.

AssistRx transforms the patient journey through technology—helping patients access life-saving therapies faster and more efficiently. Our platform connects patients, providers, payers, and manufacturers through secure, scalable, data-driven solutions that power better decisions and better outcomes across the healthcare ecosystem. If you’re passionate about building modern data platforms, working with large-scale cloud data systems, and applying data engineering best practices in a regulated healthcare environment, we’d love to talk. AssistRx is seeking a Senior Data Engineer to join our Cloud Data Platform (CDP | Architecture) team. This role is highly hands-on and focused on designing, building, and scaling our modern data platform—with Snowflake and dbt as core, non-negotiable technologies. You will play a critical role in shaping AssistRx’s enterprise data architecture, owning transformation logic, performance optimization, and data modeling patterns that support analytics, reporting, and downstream products across the organization. This is not an entry-level or tool-learning role. We are looking for someone who can contribute immediately in a production Snowflake + dbt environment and help set technical standards for the broader data organization. • Design, build, and optimize Snowflake-centric data architectures to support enterprise analytics, reporting, and operational use cases, • Own dbt transformation layers, including model design, testing, documentation, and deployment best practices, • Implement scalable data modeling patterns (star schemas, data vault, dimensional models) aligned to business needs, • Develop and maintain reliable data pipelines integrating sources such as Salesforce, application databases, and external client data, • Ensure data quality through validation, testing, monitoring, and observability frameworks, • Optimize Snowflake performance and cost through query tuning, warehouse design, and efficient data modeling, • Partner closely with Analytics, BI, Product, and Engineering teams to deliver trusted, analytics-ready datasets, • Contribute to architectural standards, code reviews, and best practices across the CDP team, • Document data flows, models, and platform decisions to support long-term scalability and knowledge sharing, • Ensure data pipelines and models meet PHI / PII / HIPAA compliance requirements, • 6+ years of experience in data engineering, analytics engineering, or backend data development, • Advanced Snowflake expertise in a production environment (performance tuning, architecture, optimization), • Strong dbt experience building and maintaining transformation layers at scale, • Expert-level SQL skills, including complex transformations and performance optimization, • Experience designing and supporting cloud-based data platforms (Snowflake preferred), • Hands-on experience integrating data from SaaS platforms (e.g., Salesforce) and operational systems, • Familiarity with CI/CD concepts for analytics engineering (version control, deployments, testing), • Strong understanding of data modeling best practices for analytics and reporting, • Experience in healthcare, life sciences, or regulated environments, • Python experience for data engineering or automation, • Familiarity with Azure-based data tooling (ADF, storage, compute), • Exposure to BI tools such as Power BI, Tableau, or ThoughtSpot, • You’ll help define AssistRx’s enterprise data foundation, • Your work will directly impact executive decision-making, client reporting, and patient-centric solutions, • You’ll join a team that values clean architecture, strong engineering standards, and real ownership, • Supportive, progressive, fast-paced environment, • Competitive pay structure, • Matching 401(k) with immediate vesting, • Medical, dental, vision, life, & short-term disability insurance, • Opportunity to impact patient outcomes through data-driven healthcare technology., • Collaborative and mission-driven culture that values innovation and continuous learning., • Access to cutting-edge cloud technologies and modern data engineering tools., • Competitive compensation, comprehensive benefits, and career growth opportunities AssistRx, Inc. is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non-merit based factors, or any other protected categories protected by federal, state, or local laws. All offers of employment with AssistRx are conditional based on the successful completion of a pre-employment background check. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. Sponsorship and/or work authorization is not available for this position. AssistRx does not accept unsolicited resumes from search firms or any other vendor services. Any unsolicited resumes will be considered property of AssistRx and no fee will be paid in the event of a hire

Healthcare in the U.S. is fundamentally broken. The system is so complex that 88% of U.S. adults do not have the health literacy necessary to navigate it without help. Solace cuts through the red tape of healthcare by pairing patients with expert advocates and giving them the tools to make better decisions—and get better outcomes. We're a Series C startup, founded in 2022 and backed by Inspired Capital, Craft Ventures, Torch Capital, Menlo Ventures, Signalfire, and IVP. Our U.S. based team is lean, mission-driven, and growing quickly. Solace isn't a place to coast. We're here to redefine healthcare—and that demands urgency, precision, and heart. If you're looking to stretch yourself, sharpen your edge, and do the best work of your life alongside a team that cares deeply, you're in the right place. We’re intense, and we like it that way. Read more in our Bloomberg funding announcement ___. At Solace, data isn't just about understanding the past; it's about predicting the future. We are a rapidly scaling startup where we work hard, move fast, and wear many hats. The Solace Data Team is looking for a Data Scientist who excels at forecasting, prediction, and machine learning to help us anticipate patient needs and optimize our operations. Reporting directly to the VP of Data, you will have the opportunity to lead high-impact projects that directly influence our strategic decision-making. In this role, you will go beyond descriptive analytics to build the predictive engines that drive our business. Whether you are forecasting operational volume, modeling patient risk, or designing rigorous A/B tests, you will bridge the gap between advanced statistics and practical business application, ensuring our models are robust, interpretable, and impactful. * Build Predictive Models: Develop and refine machine learning models to solve critical business problems, such as predicting patient churn, estimating operational volume, or scoring advocate quality. * Drive Forecasting Rigor: Own the development of time-series forecasts that guide our capacity planning and resource allocation. You will help us anticipate "what comes next" with higher accuracy. * Design & Analyze Experiments: Lead the design and analysis of A/B tests and causal inference studies. You will ensure we measure the true impact of our product and operational changes. * Uncover Deep Insights: Apply advanced statistical methods to complex datasets to find patterns that simple reporting might miss. You will answer the "why" and "how" behind our most difficult questions. * Productionize Solutions: Work closely with Data Engineers to take your models from a local notebook to a production environment, ensuring they run reliably within our data infrastructure. * Communicate Complexity: Translate complex statistical findings into clear, actionable narratives for non-technical stakeholders. You will be the voice of statistical reason in strategic discussions. * Statistical Expertise: You have a strong background in statistics, probability, and mathematics (e.g., hypothesis testing, regression analysis, time-series forecasting). * Python & ML Proficiency: You are fluent in Python and its data science ecosystem (pandas, scikit-learn, statsmodels, NumPy). You write clean, reproducible code. * Forecasting Experience: You have hands-on experience with time-series analysis and forecasting techniques (e.g., ARIMA, Prophet, exponential smoothing). * Advanced SQL: You can write complex queries to wrangle your own data from Snowflake without relying solely on others to prepare it for you. * Preferred Masters Degree or PHD: Data Science, Applied Science, or related fields. * Data Privacy Awareness: You understand the importance of protecting patient data. You are familiar with best practices for handling PHI and PII and ensuring privacy in your analysis. * Startup DNA: You are a self-starter who is comfortable with ambiguity. You take ownership of problems and are willing to wear many hats to get the job done. * Deployment Experience: Experience using tools like Docker, Airflow, or MLflow to deploy and monitor models in production. * Healthcare Experience: Experience working with healthcare or insurance claims data is a plus. * NLP & Unstructured Data: Experience applying Natural Language Processing (NLP) techniques to extract insights from unstructured text data. * Marketplace Matching: Experience designing matching algorithms or ranking systems for two-sided marketplaces. * dbt & Engineering Skills: Comfort reading or writing dbt models to understand the lineage of your data. Applicants must be based in the United States. Up for the Challenge? We look forward to meeting you. Fraudulent Recruitment Advisory: Solace Health will NEVER request bank details or offer employment without an interview. All legitimate communications come from official solace.health emails only or ___. Report suspicious activity to or .

___ is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world's largest enterprises. Founded in 2015, the company is one of the fastest growing companies in SaaS, raising approximately $250 million to date and valued at $1.6 billion. ___ provides sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide, along with tools to engage and convert these contacts in one unified platform. By helping revenue professionals find the most accurate contact information and automating the outreach process, ___ turns prospects into customers. Apollo raised a series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, and counts the former President and COO of Hubspot, JD Sherman, among its board members. Position Overview: We are seeking a highly analytical and impact-driven Senior Data Scientist to help shape our product strategy and decision-making through data. In this role, you will focus on optimizing existing products while also supporting early-stage product initiatives where relevant. You will work closely with cross-functional teams to drive product innovation and optimization through data-driven insights. This position requires a passion for transforming data into actionable insights and the ability to thrive in a fast-paced environment. What You’ll Do: • Translate business needs into data analysis and actionable insights to optimize product performance and user experience for both existing and new products., • Work closely with product managers, engineers, and other cross-functional stakeholders to identify critical product questions and provide data-driven solutions., • Develop and maintain a scalable, reliable, and accurate analytics infrastructure to support product decisions., • Establish and maintain best practices for data collection, analysis, and reporting., • Deliver actionable insights and recommendations focused on landing tangible product impact., • Help foster a culture of data-driven decision-making and continuous improvement within the product teams., • Ensure the integrity and accuracy of the data used for analysis and reporting., • While the primary focus is on existing products, support 0 to 1 product launches by identifying key metrics and analyzing early-stage product data when applicable. What You Bring: • Strong experience in product analytics or a similar data-focused role, with a proven ability to impact product strategy and decision-making through data., • Expertise in translating complex data into insights that are actionable for cross-functional teams., • Proficiency with data analytics tools and platforms (e.g., Looker, Amplitude) is a plus but not required. A focus on solving product challenges is more important than specific tool experience., • Experience in building and maintaining reliable analytics infrastructures., • Excellent communication skills, with the ability to clearly present data insights to both technical and non-technical stakeholders., • Experience with 0 to 1 product initiatives is a plus, though not required., • A high level of accountability, a passion for continuous learning, and the ability to thrive in a fast-paced, dynamic environment. Qualifications: • Degree in Analytics, Applied Mathematics, Economics, Statistics, or related analytical field of study, or an equivalent combination of training and experience., • Deep experience in working with exploratory analysis projects related to cohorting, time series analysis, and funnel analysis/optimization is required., • Expert-level proficiency in influencing product strategy with SQL, A/B testing, machine learning, statistical analysis, and related tools like R, Python, SAS, etc., is required., • Previous or current experience supporting SaaS (Product-Led Growth) companies with uncovering gaps and recalibrating activation metrics (e.g., aha/habit moments) is a huge plus., • Experience with Product Analytics tools to track end-to-end journeys/funnels (e.g., Amplitude, Heap, Mixpanel) and analyzing events within those products is essential., • Proven ability to thrive in a fast-paced, dynamic startup environment with a high level of adaptability and a strong product sense, ensuring insights align with customer needs and product goals. The listed Pay Range reflects the total cash compensation inclusive of annual base salary and annual bonus as applicable. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonus target and annual base salary for the role. This salary range may be inclusive of several career levels at Apollo and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role who are not located in the US may request the annual salary range for their location during the interview process. Additional benefits for this role may include: equity; company bonus or sales commissions/bonuses; 401(k) plan; at least 10 paid holidays per year, flex PTO, and parental leave; employee assistance program and wellbeing benefits; global travel coverage; life/AD&D/STD/LTD insurance; FSA/HSA and medical, dental, and vision benefits. Tier 1 Pay Range (San Francisco, New York City, Seattle) $160,000 - $200,000 USD Tier 2 Pay Range (All other US Locations) $140,000 - $176,000 USD Apollo.io is an AI-native company built on a culture of continuous improvement. We’re on the front lines of driving productivity for our customers—and we expect the same mindset from our team. If you're energized by finding smarter, faster ways to get things done using AI and automation, you'll thrive here. At Apollo, we’re driven by a shared mission: to help our customers unlock their full revenue potential. That’s why we take extreme ownership of our work, move with focus and urgency, and learn voraciously to stay ahead. We invest deeply in your growth, ensuring you have the resources, support, and autonomy to own your role and make a real impact. Collaboration is at our core—we’re all for one, meaning you’ll have a team across departments ready to help you succeed. We encourage bold ideas and courageous action, giving you the freedom to experiment, take smart risks, and drive big wins. If you’re looking for a place where your work matters, where you can push boundaries, and where your career can thrive—Apollo is the place for you. Learn more ___

About Nava Nava is a consultancy and public benefit corporation working to make government services simple and effective. Since 2013, federal, state, and local agencies have trusted Nava to help solve highly scrutinized technology modernization challenges. As a client services company, we guide agencies constrained by legacy systems to a future with sharp user experiences built on secure, reliable, fault-tolerant cloud infrastructure. We bill for our time, offering our expertise and problem-solving approach to help our government partners enhance their digital products and services. People are at the heart of our work, from members of the public who rely on benefit programs to government agency staff. Through human-centered design and modern engineering best practices, we help our government partners better understand user needs and deliver on their missions more effectively. This focus gives everyone at Nava the opportunity to do work that is meaningful, impactful, and deeply connected to public good. Position Summary You will work on cross-functional teams to build scalable systems for our government -- designing, implementing, and delivering services that millions of Americans depend on. You care deeply about working on technology that improves people’s lives, but don’t think technology is always the answer. You are passionate about building large-scale systems that are inclusive, well-designed, fast, scalable, and secure, and you'll help set high standards for our teams in terms of simplicity, empathy, and accessibility. The Senior Software Engineer role will be responsible for developing end to end systems for one of Nava's major government partners. The objective is to modernize an existing legacy enterprise platform to improve its public facing processes, and experiences which will enable users to have more access to the programs and services that they need, in real-time, in a more user friendly and uncomplicated way. This individual will be involved in everything, from strategy, and planning through to post production testing, and support. \n What You'll Do: • Lead a team of 6 engineersWorking with fellow Nava engineers to design, review, and build well-crafted software., • Collaborate with government partners and other contractors to architect, implement, and deploy new systems and improvements to existing systems., • Working in an agile manner to efficiently ship new features that meet user needs., • Creating tools and processes to automate our development, testing, and production workflows., • Writing and reviewing technical documentation, performing code reviews., • Participating in an on-call rotation to support production systems and investigate issues when they occur., • Taking part in hiring activities (e.g., submitting referrals, conducting interviews, and attending interview debriefs), as needed. Required Skills: • Open to Fullstack engineers., • At least 7 years of experience working in an agile, multidisciplinary team environment, preferably designing and building medium to large-scale on Cloud platforms., • At least 3 years of experience leading and mentoring engineering teams., • At least 3 years of experience working with AWS Experience building large scale data services with FHIR/HL7 in healthcare., • Experience with a broad range of technologies including Angular (Typescript), Storybook, Apache server, Go, Java, Python, Spring Boot, OpenAPI,‬ Fargate, Lambda, Jenkins, Github Actions., • Experience with big data technologies such as Apache Spark and Databricks., • Tenacity to dive into problems and iterate in working code., • Equal parts systems thinker and advocate for users., • Highly resourceful, reliable, and detail-oriented., • Ability to think strategically around trade-offs and short term vs. long term benefits., • An adaptive, empathetic, collaborative and positive mindset., • Excellent written and verbal communication skills, technical and otherwise. \n$135,900 - $153,000 a year\n Other requirements All roles at Nava require the following: Must be legally authorized to work in the United States. Must meet any other requirements for government contracts for which candidates are hired. Work authorization that doesn’t require visa sponsorship, now or in the future. May be subject to a government background check or security clearance, depending on the contract. Perks working with Nava Health coverage – Comprehensive medical, dental, and vision plans to support your overall health needs. Time off – Vacation, holidays (including Juneteenth), and floating days to rest and recharge. Company holidays- Enjoy 12 paid federal holidays each year on top of your regular PTO. Annual bonus – When Nava meets goals, eligible employees receive a performance-based annual bonus. Parental leave – Paid time off for new parents, plus weekly meals delivered to your home. Wellness program – Full platform offering physical, mental, & emotional health resources & support tools. Virtual care – See doctors online with no copay through UnitedHealthcare’s virtual visit program. Sabbatical leave – Earn extended paid leave after continuous service for personal growth or rest. 401(k) match – Nava matches 4% of your salary to support your retirement savings plan. Flexible work – Remote-first environment with flexibility built around your schedule and responsibilities. Home office setup – Company laptop & setup assistance provided via Staples for remote work needs. Utility support – Monthly reimbursement to help offset eligible home office utility expenses. Learning opportunities – Internal training programs and resources to help grow your professional skills. Development budget – Annual allowance for courses, tuition, certifications, & LinkedIn Learning access. Referral bonus – Get rewarded when you refer great people who join the Nava team. Commuter benefits – Pre-tax commuter programs to support in-office travel when applicable. Insurance coverage – Nava provides disability, life, and accidental death insurance at no cost. Supportive culture – A collaborative and remote-friendly team environment where people genuinely care. Location We have fully remote options if you reside in one of the following states: Alabama, Arizona, California, Colorado, DC, Florida, Georgia, Illinois, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Nevada, North Carolina, New Jersey, New York, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, Texas, Tennessee, Utah, Virginia, Washington, Wisconsin. *If you are not living in one of the states listed above, unfortunately, you will not be considered for a position at this time. Additionally, if employed with Nava, you must be based in the U.S. and cannot work from outside the country. Stay in touch Sign up for our ___ to find out about career opportunities, new partnerships, and news from the broader civic tech community. Please contact the recruiting team at if you would like to request reasonable accommodation during the application or interviewing process. We participate in E-Verify. Upon hire, we will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. This role requires you to work from the contiguous United States.

Sandboxx is the leading platform dedicated to finding and building technology solutions throughout a service member's military life cycle. We're looking for people with drive and initiative who are excited about making great technology and a positive attitude for our service members. Come help us build meaningful solutions for the military community! Sandboxx is the leading platform connecting military recruits with their families through letters, digital communications, and a growing online community. Every week, tens of thousands of families stay connected with loved ones in training, and our tools now extend to education, readiness, and resilience programs that support the entire military journey. As Sandboxx deepens its partnerships across the military ecosystem, we’re increasingly being asked to demonstrate the measurable impact of communication and family support on outcomes like retention, performance, and overall mission success. This role is designed to help us answer those questions through data and analysis that meet the highest standards of rigor and credibility. We’re seeking a senior military analyst or retired ORSA (O-4/O-5) to build Sandboxx’s readiness analytics capability. This contract role will translate Sandboxx user data into military-relevant insights and predictive models that connect communication, family engagement, and trainee outcomes. Your mission: build defensible, data-driven models that demonstrate Sandboxx’s contribution to recruit retention, pipeline throughput, cost avoidance, and readiness that help shape a long-term analytic foundation for future DoD partnerships. Sandboxx has proven its ability to connect service members and families in meaningful ways, but our next stage of growth requires us to prove the broader impact of that connection. We need to move beyond describing platform activity and start quantifying outcomes that matter to our partners, such as improved retention, reduced attrition, and greater overall effectiveness. This role will help us build the analytical foundation to translate our data into actionable insights, validate our value to key stakeholders, and position Sandboxx as a trusted partner in shaping future engagement and support strategies. • 1099 contractor engagement (90–180 days), • Competitive daily or project-based rate, • Remote-first with optional in-person briefings, • Possible extension or long-term advisory engagement, • Architect and execute co‑marketing campaigns internally and with partners, • Lead the design and execution of Sandboxx’s first end-to-end impact analytics framework., • Transform user engagement data into measurable insights that connect communication, family support, and military outcomes., • Build predictive and prescriptive models that identify the factors most correlated with improved performance and reduced attrition., • Develop dashboards and visualization tools that translate complex data into accessible, actionable stories for both leadership and partners., • Quantify Sandboxx’s economic and operational impact through defensible cost avoidance and efficiency models., • Deliver executive-ready briefs, summaries, and presentations that position Sandboxx as a trusted, data-informed partner., • Establish long-term data practices, documentation, and training that allow internal teams to sustain analytics growth after contract completion., • Experienced data or research professional with a strong background in applied analytics, statistics, or operations research., • Ability to translate complex data into clear insights that inform decision-making., • Proficiency in statistical modeling, data visualization, and predictive analytics using tools such as Python, R, or similar., • Experience working with structured and unstructured datasets to uncover relationships and quantify impact., • Strong communication skills with the ability to brief senior leadership and external stakeholders., • Proven ability to work independently, prioritize effectively, and deliver high-quality analysis within a defined timeframe., • Understanding of privacy, data security, and sensitivity considerations in handling user or personnel data. 30 Days: Assessment and Baseline Modeling • Audit all Sandboxx data pipelines, dashboards, and reporting structures, documenting at least three critical data or measurement gaps., • Conduct stakeholder interviews across Product, Marketing, and Partnerships to define top five impact questions Sandboxx must answer to prove value., • Produce a Baseline Impact Brief correlating Sandboxx engagement metrics (letters sent, active users, message frequency) with early indicators of retention and support., • Deliver an Assessment Report identifying existing data limitations, with prioritized recommendations for improving data quality and model readiness., • Present an initial Analytics Roadmap to leadership outlining the models, datasets, and dashboards required to measure impact at the Service level. Success by Day 30: Stakeholders have an agreed-upon data framework, initial findings, and a defined 90-day analytics plan. 60 Days: Predictive Modeling and Impact Analysis • Build and validate at least two predictive or regression models linking Sandboxx engagement to key outcomes (attrition risk, retention, shipping behavior)., • Develop a prototype dashboard that visualizes Sandboxx impact using common DoD metrics such as participation rate, throughput, and engagement-to-outcome ratios., • Quantify Sandboxx’s estimated cost avoidance from reduced attrition or improved throughput using available training cost baselines., • Deliver one executive-ready presentation summarizing predictive findings, impact estimates, and confidence intervals for leadership and partners., • Provide written data requirements and process documentation to enable repeatability and scalability of models. Success by Day 60: Predictive models and visualizations demonstrate measurable outcomes and are ready for use in partner discussions or pilot briefings. 90 Days: Institutionalization and Strategic Recommendations • Refine predictive models into prescriptive insights, identifying the top three engagement behaviors statistically linked to positive outcomes., • Deliver a Sandboxx Impact Analytics Playbook that documents model logic, data sources, update cadence, and reporting templates., • Create a long-term data strategy memo outlining future staffing, tooling, and integration recommendations to sustain analytics growth., • Develop and present a Final Executive Brief quantifying Sandboxx’s impact, readiness value, and cost avoidance potential, suitable for inclusion in future proposals or renewals., • Train at least two internal team members on how to maintain dashboards and update models post-contract. Success by Day 90: Sandboxx leadership and partners have a defensible analytic narrative, reusable models, and a self-sustaining framework for ongoing measurement. • You approach data as a storytelling tool, connecting numbers to real human impact., • You’re equally comfortable writing a Python script, designing a dashboard, or presenting findings to senior leaders., • You balance analytical precision with practical judgment, knowing when to go deep and when to simplify., • You’re proactive and self-directed, capable of scoping work, setting milestones, and delivering results with limited oversight., • You communicate clearly and thoughtfully, translating technical findings into language that resonates with non-technical audiences., • You’re driven by purpose and take pride in using data to make programs more effective and people more connected., • You thrive in fast-moving environments, embrace ambiguity, and enjoy building structure from the ground up., • You value collaboration and see your role as a bridge between product, marketing, and leadership teams., • Have 8–10 years of experience in data science, analytics, or applied research., • Have built predictive models or frameworks that measure human or organizational outcomes., • Know how to turn complex data into clear, decision-ready insights for senior leaders., • Have familiarity with defense, government, or mission-driven analytics., • Are fluent in tools like Python, R, SQL, or Tableau., • Have a track record of creating scalable, documented analytics systems others can use., • Prior experience in defense, government, or mission-driven organizations., • Familiarity with training, performance, or workforce data., • Experience developing data frameworks that bridge consumer analytics and organizational outcomes., • Understanding of contracting structures or partnership analytics in the federal space., • Equity incentive plan, • 401k with matching and sharing, • Top-tier health insurance and family benefits, • Flexible paid vacation, • Paid parental leave We look for people with a good sense of humor and zest for life, especially during interviews. Sandboxx is an equal opportunity employer - if you are a continuous learner who enjoys startups in either tech or military, you'll thrive at Sandboxx. We are committed to building a diverse and inclusive workforce and take affirmative action to not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, sexual orientation, veteran or military status, or any other legally protected characteristics. This policy applies to all employment practices within our organization, including but not limited to recruiting, hiring, promotion, termination, compensation, benefits, and training. Sandboxx is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To all recruitment agencies: Sandboxx does not accept agency resumes. Please do not forward resumes to our jobs alias, Sandboxx employees, or any other organization location. Sandboxx is not responsible for any fees related to unsolicited resumes.

Thumbtack is the one app you need to take care of and improve your home — from personalized guidance to AI tools and a best-in-class hiring experience. Every day in every county of the U.S., people turn to Thumbtack to complete urgent repairs, seasonal maintenance and bigger improvements. We help homeowners know which projects to do, when to do them and who to hire from our growing community of 300,000 local service businesses. If making an impact inspires you, join us. Imagine what we’ll build together. Core Data Science (Core DS) accelerates Thumbtack’s success through scalable, scientific decision-making. We drive impact across the business by building shared programs and tools that improve how teams measure outcomes and make decisions, and by leading rigorous analysis on cross-cutting, company-wide questions. As a member of Core DS, you will lead high-impact work end-to-end, from identifying opportunities and structuring the approach, to executing rigorous analysis and communicating to stakeholders. You will collaborate closely with other data scientists and cross-functional partners, deliver insights that inform strategy and execution, and contribute to shared capabilities that strengthen data-driven decision-making across Thumbtack. As a senior contributor, you may also mentor others and help shape the team’s scientific culture through guidance and training. • Identify, scope, and deliver high-impact projects end-to-end, leveraging the right resources and partners, • Proactively coordinate and collaborate with stakeholders to maximize the impact and adoption of your work, • Clearly communicate insights and business implications to audiences ranging from technical to executive, using the right level of complexity and narrative to influence decisions and roadmaps, • Develop frameworks and measurement approaches that make complex marketplace and product questions intuitive and actionable, • Apply rigorous analytical and causal inference methods (e.g., experimentation, quasi-experimental designs, forecasting/measurement) balancing rigor with practical constraints (time, complexity, marginal value), • Own and improve shared decision-making programs and infrastructure, such as experimentation practices, market-based testing, and impact measurement, • Design, build, and maintain shared DS tooling and reusable assets (e.g., notebooks, libraries, training, standardized metrics, and key models that empower other teams), • Mentor other scientists/analysts and lead trainings/courses to raise the bar for scientific decision-making across the company, • 3+ years of professional experience in economics, analytics, or data science (e.g. in tech, consulting, government, etc), • Proficiency with empirical econometrics toolkit (experimentation; methods for causal inference such as IV; panel data methods; discrete models; etc), • Proficiency with SQL, • Proficiency with R or Python, including strong data visualization skills, • Strong communication skills: able to communicate complex methods in intuitive and simple ways, easily able to adapt messaging to fit the audience, able to identify/highlight key information, • Ability to build strong relationships cross-functionally and with senior leadership, • Proficiency with data wrangling and organizing data for different models or analyses; and organized workflows and project management skills, • For candidates living in San Francisco / Bay Area, San Jose, New York City, or Seattle metros, the expected salary range for the role is currently $197,200 - $255,200., • For candidates living in Austin, TX or Washington DC metros or in California, Massachusetts, New Jersey, or Washington states, the expected salary range for the role is currently $177,700 - $229,900., • For candidates living in all other US locations, the expected salary range for this role is currently $167,500 - $216,700. Actual offered salaries will vary and will be based on various factors, such as calibrated job level, qualifications, skills, competencies, and proficiency for the role. #LI-Remote Thumbtack embraces diversity. We are proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, pregnancy, sexual orientation, gender identity or expression, religion, national origin, ancestry, citizenship, marital status, military or veteran status, genetic information, disability status, or any other characteristic protected by federal, provincial, state, or local law. We also will consider for employment qualified applicants with arrest and conviction records, consistent with applicable law. Thumbtack is committed to working with and providing reasonable accommodation to individuals with disabilities. If you would like to request a reasonable accommodation for a medical condition or disability during any part of the application process, please contact: ___. If you are a California resident, please review information regarding your rights under California privacy laws contained in Thumbtack’s Privacy policy available at ___. We put as much craftsmanship into candidate safety as we do into the hiring experience itself. While scammers may try to impersonate our team, we’ll never ask you for money, banking info, or SSNs during hiring. ___

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. We are seeking an experienced Lead Data Scientist to drive advanced analytics initiatives focused on improving forecasting model accuracy and developing Generative AI solutions for explainability. This role requires a strong blend of machine learning expertise, forecasting experience, deep learning knowledge, and hands-on healthcare domain understanding. Key Responsibilities • Lead the design, development, and enhancement of forecasting models to improve prediction accuracy and business outcomes., • Build and deploy advanced Deep Learning models for large-scale structured and unstructured datasets., • Develop Generative AI / Explainable AI solutions to provide transparent and interpretable insights from predictive models., • Analyze healthcare datasets including claims, patient, provider, operational, or clinical data., • Collaborate with business stakeholders, product teams, and engineering teams to translate business challenges into scalable AI solutions., • Monitor model performance, retrain models, and optimize algorithms for production environments., • Mentor junior data scientists and provide technical leadership across the project., • Ensure compliance with healthcare data privacy and governance standards., • 8–10 years of experience in Data Science / Machine Learning roles., • Strong hands-on expertise in Forecasting models (time series, demand forecasting, predictive analytics)., • Experience with Deep Learning frameworks such as TensorFlow, PyTorch, or Keras., • Proven experience building Generative AI / Explainability models using LLMs, SHAP, LIME, or similar frameworks., • Mandatory experience working in the Healthcare domain., • Strong programming skills in Python, SQL, and ML libraries., • Experience with cloud platforms such as AWS, Azure, or GCP preferred. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit ___. We are looking for a seasoned Staff Cloud Software Engineer to join our team and take ownership of our cloud infrastructure, security posture, and developer tooling. In this role, you will architect, deploy, and operate scalable, fault-tolerant systems on AWS while driving engineering excellence across the organization. You will partner closely with engineering, security, and operations teams to build robust CI/CD pipelines, manage cloud costs, and mentor the next generation of engineers. This is a staff individual contributor or technical lead manager role with broad scope, high visibility, and the opportunity to shape how we build and run software at scale with high availability and safety critical impact. You Will: * Design, build, and operate fault-tolerant production systems on AWS, leveraging services such as ECS, ECR, and EC2 to deliver reliable, scalable applications. * Architect and manage cloud infrastructure using Terraform, enforcing infrastructure-as-code best practices and enabling repeatable, auditable deployments. * Administer and maintain Google Workspace environments, including user provisioning, access control, and security configurations. * Own IAM strategy and user access management across AWS accounts, ensuring least-privilege access and compliance with security policies. * Build and maintain CI/CD pipelines using GitHub Actions and related build and test frameworks, enabling fast, safe, and automated software delivery. * Enforce and continuously improve IT security practices across user accounts, networking, and data and service access controls. * Manage virtualization technologies, PaaS, and SaaS environments within AWS, ensuring availability, performance, and cost efficiency. * Design and maintain systems with fault tolerance and high availability as first-class requirements, using best practices for production resilience. * Work with big data technologies such as DynamoDB to support data storage, retrieval, and processing needs at scale. * Mentor junior and mid-level engineers through code reviews, architectural guidance, and knowledge sharing; actively support engineering growth across the team. * Field and resolve infrastructure and platform support requests, providing timely and effective responses to engineering and operational needs. * Write automation and tooling in Python and Bash to streamline operations and improve developer productivity. You Have: * Bachelor’s or Master’s degree in Computer Science, Robotics, or a related field. * 7+ years of experience building infrastructure and tooling for large-scale cloud operations. * Extensive hands-on experience with AWS development and administration, including ECS, ECR, and EC2. * Deep expertise in AWS IAM and user access management, including roles, policies, permission boundaries, and cross-account access patterns. * Proven experience with Google Workspace administration, including user lifecycle management, security settings, and integrations. * Strong proficiency with Terraform for infrastructure-as-code, including module design, state management, and remote backends. * Significant experience building and maintaining CI/CD pipelines using GitHub Actions and a variety of build, test, and deployment frameworks. * Demonstrated IT security experience spanning user account management, network security, and data and service access governance. * Experience managing virtualization technologies and related PaaS and SaaS solutions in AWS production environments. * A track record of designing and operating fault-tolerant, highly available systems in production at scale. * Experience with big data technologies such as DynamoDB, including data modeling, access patterns, and operational management. * Experience mentoring engineers and fielding platform or infrastructure support requests in a collaborative team environment. * Strong programming skills in Python and Bash for scripting, automation, and operational tooling. We Prefer: * Experience with additional AWS services including Lambda, Batch, SageMaker, and VPC design and management. * Experience with CloudFormation for automated provisioning. * Experience working with Autonomy or Robotics infrastructure. * Hands-on experience with ROS/ROS2 and robotic software deployment pipelines. * Proficiency in C++ development for performance-critical systems or systems programming contexts. * Experience working with AI in development support and project execution. * Engineering management or team lead experience, with a history of guiding technical direction and supporting team growth. * Familiarity with cloud cost optimization strategies. * Experience with cloud visualization, analytics, metrics, and dashboarding tools for operational visibility and observability. * Proficiency with Agile development methodologies and KPI-driven engineering practices. * Hands-on experience with Kubernetes, Docker, and Jenkins for container orchestration and legacy CI/CD workflows.

Reacher is a YC backed AI SaaS platform building the operating system for TikTok Shop brands and creators. We’re backed by Y Combinator, Pioneer Fund, Rebel Fund, and operators including Steve Huffman (CEO of Reddit), Matteo Franceschetti (CEO of Eight Sleep), Theo Browne (___), Kulveer Taggar (Zeus Living), and Jake Mintz (Bump). We have years of runway and are scaling fast with some of the biggest brands in the world (UnderArmour, Hanes, Logitech, Goli) Our vision is to become the Hubspot for creator marketing, powering brands and creators to connect and grow across all commerce platforms (Youtube Shopping, Instagram Shopping, Shopify, Amazon). We're building key infrastructure for the creator economy and implementing AI with the world's largest brands and creators. Your work will directly impact users on day 1 - our user base depends on our product daily. We build with AI, not around it. Our engineering team uses Claude Code and agentic coding tools as our primary development environment. If you're spending your days directing AI agents to ship code while you focus on architecture, review, and system design — and you can't imagine working any other way — keep reading. * Own and lead product features end-to-end: research, design, implement, test, and ship * Lead and shape engineering architecture - set standards for code quality, testing, and development practices across the stack * Mentor and guide other engineers in adopting AI-native workflows, establishing best practices and patterns * Talk directly to customers and translate vague requirements into polished user experiences * Design scalable backend systems (Python, FastAPI, PostgreSQL, GCP) * Build responsive, delightful UIs (React, TypeScript, Tailwind, shadcn/ui) * Write clean, maintainable, and testable code with minimal oversight * Drive architectural decisions and engineering processes that maximize AI-assisted development velocity * Ship fast and learn fast - high urgency environment Engineering Foundations: * 2–6 years of professional full-stack experience at a product-first company or FAANG-level environment (Senior SDE ownership expected) * Comfortable building features across the entire stack—from schema design and backend APIs to pixel-perfect, accessible frontend * Care deeply about product, design, and user experience—not just code * Have owned something meaningful end-to-end (a product module, infrastructure refactor, major feature launch) * Can set standards for engineering quality and architectural decisions in an AI-native environment * Resourceful and thrive in ambiguous environments—you figure things out independently * Have strong product intuition and can push back on requirements when needed to improve outcomes AI-Native Development: * AI coding experience is your most important and necessary skill - you have deep understanding of modern coding tools, specifically Claude Code, and are proficient with its various modes (Interactive, Plan, Headless, Agent Teams, Delegate) * You're "AI-pilled" when it comes to problem-solving - you tackle any new problem, skill, or architectural challenge by leveraging AI tools and an AI-driven workflow. This is your default approach, not an experiment * Strong systems thinking and architectural awareness - you direct AI to build while you architect, review, and verify. You know when AI output is correct and when it needs correction * Can demonstrate recent AI-native work - you've shipped meaningful projects in the last 90 days where AI coding tools were your primary development environment AI and Agentic Development: * Claude Code proficiency: understanding of modes, context engineering (___), custom commands, MCP integrations, and subagent coordination * AI-driven development workflows and effective prompt engineering * Ability to decompose complex engineering work into tasks suitable for AI assistance * Strong judgment for when to leverage AI vs. when to code directly * Experience verifying and reviewing AI-generated code for correctness, security, and maintainability Backend: * Python, FastAPI, PostgreSQL * System design and scalable architecture * GCP/cloud infrastructure * API design (REST/GraphQL) Frontend: * React, TypeScript, Next.js * Tailwind CSS, shadcn/ui * State management (Redux, Zustand, React Query) * Frontend performance optimization and accessibility (WCAG) General: * Testing frameworks (Jest, React Testing Library, Cypress/Playwright) * Code reviews, documentation, and establishing conventions * Product analytics tools (Amplitude, Mixpanel) for data-driven development * Experience building autonomous agents with the Claude Agent SDK or similar agentic frameworks—you understand multi-agent orchestration, MCP integrations, and production agent deployment * Experience with AI image/video generation or manipulation - familiarity with tools like Midjourney, Runway, Stable Diffusion, Sora, or integrating generation APIs into product workflows * You've worked at an early-stage startup or been a first/early engineering hire * You've built internal tooling, dashboards, or systems that scaled to thousands of users * You've led technical initiatives or mentored junior engineers * You've built or maintained design systems * You're curious about AI, e-commerce, or automation—we work in that space * You've shipped side projects or contributed to open-source * You've worked directly with designers and can contribute to design discussions * Post-revenue company solving real problems for real customers * Be a technical leader—define our engineering culture and standards as we scale * High autonomy and visibility—no boring tickets * Your code reaches users within days, not months * Strong engineering-first culture that embraces cutting-edge AI tools * Shape both the product and the company Please send a short note about a complex problem you solved or a new skill you mastered specifically using an AI-driven workflow. GitHub/LinkedIn/resume is great, but we care more about how you think, build, and leverage AI. If you have examples of projects where AI coding tools were central to your workflow in the last 90 days, we'd love to see them.

At Bluesight, our mission is to create groundbreaking solutions that increase efficiency, safety and visibility for health systems, hospital pharmacy, and pharmaceutical manufacturers. We empower our customers to deliver the right medicine to the right patient at the right time, every time. We are a high growth healthcare information technology company with a start-up 'vibe' but over 3,000 customers using our proven solutions. Bluesight is looking for a Senior Data Scientist to join our central data team and help us drive the success of data science and analytics efforts across the organization. This role will work closely with external and internal stakeholders to deliver value through all stages of the RnD life cycle: identifying opportunities, building core infrastructure, running predictive models, analyzing impact, and highlighting improvement areas. This person will partner with cross-functional peers to strengthen Bluesight’s data culture and help us innovate within our suite of Medication Intelligence products. • Develop and productionize machine learning models for a range of healthcare products, including monitoring controlled substance handling and patient privacy, and inventory management, • Define and track KPIs to measure model performance and business impact, • Collaborate with product teams and customers to scope analytics projects and build prototypes. Translate ambiguous business problems into well defined, quantitative, and testable hypotheses., • Communicate technical findings to both technical and non-technical stakeholders, including customers. Present results and recommendations in customer-facing meetings., • Inform product roadmaps, evaluate technical feasibility, and assess project risks., • Quickly ramp up on new healthcare data sources as products evolve and adapt to new ML techniques and tools as needed for product requirements, • Raise the skill level of the entire analytics team by modeling strong research communication through team presentations and documentation. Drive collaboration through code reviews, experimental design feedback, and participation in model evaluation discussions., • Degree or equivalent years of experience in data science, statistics, computer science, or similar quantitative field, • Ability to develop and productionize code in Python to serve API endpoints (e.g. Flask, FastAPI), • A willingness to leverage genAI tools to assist with rapid experimentation, • Deep understanding of statistical models including distributions and transformations. Ability to create and evaluate supervised and unsupervised machine learning models (tree-based models, clustering) in a practical/applied context, • Hands-on experience with AWS cloud services including SageMaker, Athena, RDS, Glue, ECR, IAM, and CodeBuild, • Strong knowledge of Git workflows and version control best practices, • Master-level understanding of SQL, • Prior track record of a customer-friendly approach in presenting information and analysis for non-technical audiences, • Excellent verbal and written communication skills with an ability to advocate technical solutions to engineering teams as well as business stakeholders, • Master’s degree or PhD in math and/or statistics centric field of study, • Experience on a data team of a similar size (<5), • Experience working with protected healthcare data (e.g. ADM, EHR) and pharmaceutical supply chain logistics (e.g. invoicing, cost optimization), • Experience with infrastructure as code using Terraform to manage cloud resources

It's a new day with a new opportunity at 8am! About the role: 8am is looking for a Senior Engineer to join our team of seasoned AI engineers who are delivering on the roadmap of AI features to enhance and expand our 8am suite of products. In this role, you will design and build AI-powered features that delight our customers, create new capabilities, and strengthen our platform. You will collaborate with engineers, product managers, and data scientists to bring cutting-edge AI into production, ensuring it drives meaningful business and customer outcomes. About us: At 8am, our vision is to power a world where professionals thrive. We start every day on a mission to empower professionals with the most trusted, innovative technology to deliver world-class outcomes for their clients and exceptional financial results for their business. They count on our purpose-built solutions to simplify operations, ensure compliance, and fuel profitable growth, so they can focus on their clients and do more of the work that matters. Founded in 2005, 8am™ (formerly AffiniPay) is the professional business platform built to help legal, accounting, and other client-focused professionals run stronger, more profitable businesses. Today, more than 250,000 professionals across the U.S. trust 8am to help them work smarter, serve clients better, and unlock their full potential. We have been recognized as one of Inc 5000’s fastest growing companies in the U.S. for 13 years in a row, and as a result, our teams continue to grow as well! What you'll do: • Collaborate with product managers and stakeholders to translate business problems into AI-driven solutions., • Design, implement, and integrate AI features into existing 8am products., • Partner with the Data team to ensure the right data is collected, enriched, prepared, and staged for AI consumption and use., • Build and evaluate AI-powered services, from customer-facing prototypes to general availability to all our customers., • Write high-quality Python code to manipulate data, interact with large language models, and assess performance., • Develop tools and infrastructure to support reliable, scalable, and secure AI deployment., • Work with our cloud operations team to deploy AI features, monitor their impact, and continuously improve them. About you: • 5+ years of professional software engineering experience, ideally in full stack SaaS application development or backend., • Proven track record of building and deploying production-ready AI/ML services., • Hands-on experience with LLM frameworks, platforms and related tooling., • Strong Python development skills and familiarity with data manipulation and evaluation workflows., • Experience building scalable data infrastructure and integrating models into broader SaaS systems., • Experience working in AWS cloud environments and with modern DevOps practices., • Demonstrated experience leveraging AI tools and technologies to improve workflows, enhance decision-making, or drive innovation. Nice to Have: • Bachelor’s degree or higher in Computer Science, Engineering, or a related technical field., • Experience fine-tuning and optimizing Large Language Models (LLMs)., • Experience integrating AI into streaming or real-time data flows., • Background in Natural Language Processing (NLP)., • Exposure to fintech or the legal industry. Additional Information The annual salary range for this position is $150,000 to $175,000. The salary range for performing this role outside of the US / Austin / California may differ. 8am is committed to offering competitive, fair and commensurate compensation and has provided an estimated pay range for this role. Actual compensation may vary based on job-related knowledge, skills, experience and education. Why 8am: At 8am, our culture is shaped by the people who bring it to life every day. Together, we build a company rooted in continuous learning, genuine community, holistic wellness, and meaningful engagement—values that empower us as individuals and unite us as a team. Our culture is grounded in our core values: Work Smart, Win Fast; Outshine Ordinary, and We Find a Way. These values drive how we serve our customers and work with each other in a collaborative, inspiring, and empowering environment, every day. Here’s how we support our 8Team: • Health Insurance Coverage: We offer our 8Team a variety of medical, dental, and vision plans, designed to fit your needs, including a 100% company-paid HDHP plan for employees., • Financial perks: We offer a competitive compensation and benefits package including annual bonuses, equity options and 401(k) or RRSP if in Canada, with a company match for all team members., • Time for what matters: Flexible Time Off, paid holidays, and a parental leave program for our new parents., • Wellness: Wellness stipends, mental health support, and one-on-one nutrition coaching., • Learning and Development: Continuous learning through ___, leadership programs, professional development funds, and individually focused talent development., • Giving back to the communities around us: Participate in our charitable matching gift program, paid time off for volunteer service, and company-sponsored volunteer events (both local and virtually)., • Engagement: Virtual and in-person team-building events, quarterly award recognition through our Rise & Shine Award of Excellence Program, and our peer-to-peer appreciation platform. At 8am, we don’t just offer benefits - we create an environment where people can thrive, grow, and make a real impact every day. Diversity, equity & inclusion at 8am: At 8am, we recognize that innovation occurs with a strong team of people who are diverse in background, personality, talent and ideas. Experience comes in many forms and ensuring a diverse and inclusive workplace where we continue to learn from each other is an integral part of our culture. We are committed to creating a welcoming and transparent environment for all that embraces those differences through education, equal access to opportunities and information, inclusionary programs, and community outreach. Security advisory: Our hiring teams at 8am are dedicated to recruiting top talent that share our passion for serving the professional services industry through innovative financial technology. As such, our Talent Acquisition Team only follows legitimate hiring practices. We will always communicate with our candidates using emails with the 8am domain and will never ask for sensitive/personal data during the application process. All interviews take place over phone call, Zoom/Google Meet or in person. All offers are communicated verbally by our Talent Acquisition Specialists with a written offer letter as a follow up.

We are seeking a Senior Data Engineer with deep expertise in data warehousing, ETL pipeline development, and Snowflake to lead the modernization of our data infrastructure. In this role, you will build new data pipelines and warehouse models in Snowflake while partnering with our existing SQL Server Data Engineering team to migrate legacy systems to the cloud. You will work with healthcare claims, eligibility, and related data ingested from carrier and TPA partners, as well as data aggregated from internal systems. This is a hands-on technical role requiring strong self-management, a proven ability to mentor peers, and comfort working with sensitive healthcare data under strict security requirements. As a scaling technology organization, we value ownership, collaboration, and continuous improvement — you will have a direct hand in shaping the tools, processes, and architecture that power our data platform. Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. • Design, build, and maintain ETL and reverse-ETL pipelines between Snowflake, Azure Data Factory, and legacy SQL Server systems., • Develop and optimize Snowflake data warehouse models, ensuring performance, reliability, and high availability., • Implement and maintain row-level and column-level security policies to protect sensitive healthcare data., • Partner with the existing SQL Server Data Engineering team to plan and execute the migration of legacy ETL processes and warehouse models to Snowflake and the cloud., • Build and maintain data transformations using dbt., • Monitor pipeline health, troubleshoot failures, and ensure uptime and data integrity across all data flows., • Mentor peers and contribute to engineering best practices, code reviews, and documentation., • Learn and adopt Sigma as the organization’s BI and reporting tool., • Bachelor’s degree in Computer Science, Data Engineering, or related field, or equivalent experience., • 10+ years of experience in data engineering, ETL development, and data warehouse modeling., • Proven hands-on experience with Snowflake, including architecture, optimization, and security., • Strong proficiency in SQL and Python., • Experience with at least one major BI/visualization platform (e.g., Power BI, Tableau, Looker, Sigma)., • Experience with dbt and Azure Data Factory., • Prior experience working with healthcare data, including familiarity with data sensitivity, HIPAA, and security best practices., • Experience implementing row-level and/or column-level security in a data warehouse environment., • Strong self-management skills with the ability to work independently in a fully remote environment., • Experience with healthcare claims, eligibility, or related payer/TPA data., • Experience migrating data infrastructure from SQL Server to Snowflake or other cloud platforms., • Familiarity with Sigma., • Experience working in Agile development environments with tools such as Jira., • Prior experience in a startup or fast-growing technology company.SmartLight Analytics was formed by a group of industry insiders who sought to reduce rising healthcare costs for self-funded employers. Through proprietary data analysis, SmartLight identifies and mitigates wasteful healthcare spending without disrupting employee benefits or requiring behavior changes.

Reveal is a dynamic startup revolutionizing field operations by providing software tools and insights to individuals in remote, disconnected, and extreme environments. Our products include Farsight, a 3D processing and mission planning tool, as well as Identifi which enables secure and rapid identity verification. Reveal is deeply committed to supporting defense, security, and safety missions. We're growing our team to meet expanding demands and opportunities. Our team has deep experience in 3D visualization, photogrammetry, applied machine learning, computer vision, and autonomy. You will be working collaboratively with all teams in Reveal to define and execute the roadmap for Farsight, Identifi, and our future products. This role might be for you if you thrive in a fast-paced, autonomous working environment. You have proven success in developing technical materials from conceptual ideas and are motivated by growth opportunities. Reveal is a dynamic startup revolutionizing field operations by providing software tools and insights to individuals in remote, disconnected, and extreme environments. Our products include Farsight, a 3D processing and mission planning tool, as well as Identifi which enables secure and rapid identity verification. Reveal is deeply committed to supporting defense, security, and safety missions. We're growing our team to meet expanding demands and opportunities. We are looking for a Senior Backend Software Engineer to own and drive development of the backend infrastructure for our multi-platform applications. You will be working collaboratively with all teams in Reveal to define and execute the technical roadmap for Identifi, and our future Human Systems products. This role might be for you if: You thrive in a fast paced collaborative engineering environment without extensive oversight. You have proven success owning features and products from concept through development, QA, release, and support. • Design, build, and maintain scalable APIs using Ruby on Rails, supporting mobile, desktop and web clients with a focus on performance, reliability, and maintainability, • Containerize applications and supporting services using Docker and supported deployment workflows for consistent environments across development, staging, and production, • Lead database design and management efforts, including schema design, data modeling, query optimization, migrations, and performance tuning in PostgreSQL, • Maintain DevOps and CI/CD pipelines, improving build automation, test reliability, and deployment processes to increase developer velocity and system stability, • Ensure security and compliance requirements are met by implementing secure coding practices, authentication and authorization controls, encryption strategies, and vulnerability mitigation, • Work across the team and specialties to drive quality through architecture, code review, and collaborative development., • Assist our business development and mission success teams with troubleshooting and technical issues, • 8+ years of experience in Backend development, • Expertise in Ruby and SQL, including designing backend architectures, building scalable services, and optimizing complex database queries, • Deep understanding of security architecture and cryptography, including key management, threat modeling, secure system design, and defending against common attack vectors., • Strong experience using Docker and Kubernetes to containerize applications, manage deployments, configure services, and operate production workloads, • Deep expertise with PostgreSQL, including advanced data modeling, query optimization, indexing strategies, transaction management, and operating production databases at scale, • Can manage your own productivity in an asynchronous, fully remote environmentWillingness to learn new technologies and tools as needed, and to read and refactor code to make it better, even if it's not your own, • Startup experience, • Worked with LLMs and AI-powered systems, including integrating AI services into backend workflows, designing APIs that support AI features, and evaluating model capabilities and limitations for production use cases, • Designed and implemented solutions using graph databases (e.g., Neo4j or similar), including modeling complex relationships, writing efficient graph queries, and applying graph concepts to solve real-world data problems, • Proactive and creative problem solver, comfort stepping into the unfamiliar and figuring things out, • Experience designing and building APIs that support mobile applications, including considerations for performance, reliability, versioning, offline/low-bandwidth environments, and secure data exchange, • Experience working with TAK (Team Awareness Kit) servers and ecosystems, including integrating with TAK services, managing data flows, and supporting mission-critical or real-time systems, • Exposure to secure handling and storage of biometric data, including familiarity with relevant standards such as EBTS, data protection requirements, and best practices for privacy, encryption, and compliance, • Past experience developing products for public safety or DoD applications, • Understanding of additional languages used at Reveal: Kotlin, C++, C#, Python, • Base Salary ($150,000 - $185,000 depending on experience) + Equity, • Salary is determined by the applicant's experience, knowledge, skills, abilities, internal equity, and alignment with market data., • Medical, Dental, Vision coverage, • HSA/FSA options, • Parental Leave, • 401(k): 100% match for the first 6% contributed, • Unlimited Paid Time Off

DocMe360 is seeking a talented Full Stack Developer to join our dynamic team. The Full Stack Developer will provide hands-on technical leadership and contribute across the full software development lifecycle for a cross-functional team supporting the Department of Veteran Affairs. They will be part of a highly agile, small cross-functional team responsible for delivering rapid development across multiple workstreams and products. The role requires the ability to adapt quickly, manage shifting priorities, and effectively context switch in a dynamic environment. In addition, they will be responsible for designing, developing, testing, and maintaining both front-end and back-end components of scalable, secure, and high-performing applications. The Full Stack Developer collaborates with key stakeholders, other development teams, clinicians, and end users to translate functional and technical requirements into cohesive end-to-end solutions while contributing to architectural decisions. The Department of Veteran Affairs requires this candidate to be a U.S. citizen residing in the Continental United States. Responsibilities • Software Design & Development, • Design, develop, test, and deploy front-end and back-end components, • Build responsive, accessible, and user-friendly interfaces, • Develop and maintain server-side logic, APIs, and database integrations, • Ensure seamless integration between client-side and server-side components, • API & Data Layer Development, • Design and implement RESTful APIs, • Develop data models and integrate with relational and/or NoSQL databases, • Optimize queries and application performance, • Implement secure authentication and authorization mechanisms, • Front-End Engineering, • Develop reusable UI components using modern frameworks within the VA ecosystem, • Ensure compliance with accessibility standards (e.g., Section 508, WCAG), • Collaborate with UX/UI designers to translate wireframes into functional interfaces, • DevOps & Deployment, • Contribute to CI/CD pipelines and automated deployment workflows, • Work with containerization and orchestration tools, • Monitor application performance and support production deployments, • Troubleshoot and resolve cross-stack issues in development and production environments, • Code Quality & Technical Leadership, • Conduct peer code reviews and enforce coding standards, • Develop automated unit, integration, and end-to-end tests, • Identify and reduce technical debt, • Agile Collaboration, • Participate in sprint planning, backlog refinement, stand-ups, demos, and retrospectives, • Provide technical estimates and trade-off analysis, • Collaborate with product managers, architects, UX researchers, and DevOps teams Adhere to the DocMe360 Core Values • Delivery – Deliver all efforts through a culture of honesty, transparency, unwavering integrity, and professional growth, • Optimism – Optimize and invest in professional growth, empowerment, and well-being, • Collaboration – Collaborate for impact; foster teamwork and shared expertise to achieve success, • Motivation – Motivate from within to naturally inspire and energize clients with passion and purpose, • Education and Experience, • 4–6+ years of professional full stack development experience, • Proven experience building end-to-end enterprise applications, • Experience working in agile development environments, • Technical Skills, • Front-End Development Experience in, • React JS, • Sencha Ext JS 4.2 (legacy framework), • Vanilla JavaScript and OOP patterns, • REST API integration, • Back-End Development experience in, • Python, • Java EE 8 / Jakarta EE (EJB 3.x, JPA/Hibernate, JAX-RS), • WildFly Application Server (18+), • Quartz Scheduler, • JWT-based authentication/authorization, • Microservices architecture patterns experience with, • API & Integration, • FastAPI framework, • RESTful API design and development, • Third-party integrations: AWS SDK (SNS, SQS, STS), • Data & Persistence experience with, • Relational databases: SQL Server, PostgreSQL, • NoSQL databases: MongoDB (Morphia ORM), • Cloud, DevOps & Tooling experience using, • AWS (ECS, SNS, SQS, STS), • Docker (containerization), • Maven (build automation), • Git (version control), • DataDog, DynaTrace (monitoring and observability), • Testing & Quality, • JUnit, • Mockito, • Domain & Regulatory Experience, • Healthcare domain knowledge (appointments, notifications, patient tracking), • Experience with healthcare/government systems and compliance considerations, • Problem-Solving & Communication, • Strong debugging and troubleshooting skills across the full stack, • Ability to analyze complex system interactions, • Strong written and verbal communication skills, • Ability to collaborate effectively across technical and non-technical stakeholders Preferred Qualifications • Experience in product development at the VA, • Experience supporting federal or regulated environments The benefits listed below are for full-time W2 employees: • Health Care Plan (Medical, Dental, & Vision), • Retirement Plan (401k, IRA), • Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity & Paternity), • Training & Development, • Work From Home

About Extend: Extend is revolutionizing the post-purchase experience for retailers and their customers by providing merchants with AI-driven solutions that enhance customer satisfaction and drive revenue growth. Our comprehensive platform offers automated customer service handling, seamless returns/exchange management, end-to-end automated fulfillment, and product protection and shipping protection alongside Extend's best-in-class fraud detection. By integrating leading-edge technology with exceptional customer service, Extend empowers businesses to build trust and loyalty among consumers while reducing costs and increasing profits. Today, Extend works with more than 1,000 leading merchant partners across industries, including fashion/apparel, cosmetics, furniture, jewelry, consumer electronics, auto parts, sports and fitness, and much more. Extend is backed by some of the most prominent technology investors in the industry, and our headquarters is in downtown San Francisco. About the Role: The Revenue Analytics team is focused on developing strategic recommendations grounded in data to scale, drive, and recover revenue. We are experts at synthesizing different contexts from Sales, Growth, Product, Engineering, and Risk to identify growth and expansion opportunities that directly drive the company’s bottom line. If you have a passion for breaking down complexity and ambiguity into quantifiable impact, you’ll thrive on our team. What You Will Be Doing: • Cross-functional Champion: Act as internal consultant who can quickly translate ambiguous questions from cross-functional teams into revenue driving initiatives and recommendations., • Revenue Optimization: Own strategies to maximize revenue and enhance client acquisition throughout the entire revenue waterfall., • Data-driven Insights: Utilize advanced quantitative analysis techniques (simulation models, A/B testing etc.) to influence audiences on strategic direction, with opportunities to present these insights to leadership and cross-functional partners on a regular basis., • Data Infrastructure: Enhance and refine existing quantitative tools to harness the power of data analytics, defining data structures, and leveraging advanced tracking methodologies to uncover revenue opportunities. What We’re Looking For: • Analytical problem-solver with 2+ years experience breaking down business problems into data driven impact., • Standout written and verbal communication skills who excels at sharing data insights to audiences of all backgrounds, • Strong knowledge of SQL, Python, A/B testing, and Github, • Previous experience in consulting a plus, • Intellectually curious, willing to think beyond just the revenue organization and prioritize what is best for the business holistically, • Empathetic, humble, and collaborative team player, • Advanced degree in data science, analytics, economics, statistics or similar quantitative field, • Candidates must be located within the continental United States Expected Pay Range: $111,000 - $129,000 per year salaried* • The target base salary range for this position is listed above. Individual salaries are determined based on a number of factors including, but not limited to, job-related knowledge, skills and experience. Life at Extend: • Working with a great team from diverse backgrounds in a collaborative and supportive environment., • Competitive salary based on experience, with full medical and dental & vision benefits., • Stock in an early-stage startup growing quickly., • Generous, flexible paid time off policy., • 401(k) with Financial Guidance from Morgan Stanley.

eSimplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of all Americans, from veterans and service members to children, families, and seniors. Our engineers, designers, and strategists cut through complexity to create intuitive products and services that equip federal agencies with solutions to courageously transform today for a better tomorrow. eSimplicity is seeking a skilled and motivated Data Scientist to join our data analytics team. In this role, you will support efforts to design and implement advanced statistical and AI/ML solutions focused on extracting actionable insights, evaluating model performance, and leveraging semantic analysis techniques to enhance product safety decision-making. This role emphasizes innovation, efficiency, interpretability in modern cloud data environments, and analytics to shorten time to action. Successful candidates will be eligible to hold a U.S. Federal Public Trust security clearance. This position is contingent upon contract award. Responsibilities: • Apply semantic vibe coding efficiencies to uncover patterns and thematic insights from structured and unstructured data., • Translate complex data into clear, actionable narratives through data storytelling and visualization., • Design, implement, and maintain AI approaches (such as product similarity) and predictive models (such as supervised and unsupervised) for anomaly detection, classification, regression, and pattern recognition., • Conduct rigorous model evaluation using precision, recall, F1-score, AUC, and other performance metrics to ensure reliability and fairness., • Demonstrate an innovative mindset by exploring emerging technologies, creative approaches, and novel methodologies to solve complex problems efficiently., • Utilize modern efficiency tools and frameworks (e.g., GitHub Copilot, automated pipelines, CI/CD) to streamline development and deployment., • Optimize workflows for scalability in cloud environments (Azure)., • Work in Agile teams; drive iterative delivery, joint problem-solving, and continuous improvement., • Engage closely with project managers, technical leads, client representatives, and cross-functional teams to provide timely updates, resolve issues, and ensure alignment with technical goals. Required Qualifications: • Bachelor’s degree, or equivalent experience in Computer Science, Data Science, Mathematics, Statistics, Engineering, or related field., • All candidates must pass public trust clearance through the U.S. Federal Government. This requires candidates to either be U.S. citizens or pass clearance through the Foreign National Government System which will require that candidates have lived within the United States for at least 3 out of the previous 5 years, have a valid and non-expired passport from their country of birth and appropriate VISA/work permit documentation., • 2+ years developing statistical and AI/ML models using leading-edge tools and best practices., • 2+ years building regression, classification, NLP, and other statistical/ML models for predictive analytics., • 2+ years hands-on experience with Python (such as Pandas, Scikit-learn, PyTorch/TensorFlow for deep learning)., • 2+ years working in modern cloud environments (Azure); certifications advantageous., • 2+ years experience with SQL for data manipulation and querying., • Proficiency in dashboard visualization tools (Power BI or equivalent)., • Proven ability to integrate semantic coding techniques into ML workflows., • Strong oral and written communication skills for data storytelling., • Demonstrated experience with Git-based version control and collaborative development., • Demonstrated ability to collaborate effectively within Agile teams, contributing to iterative development, shared problem-solving, and continuous improvement to deliver high-quality solutions., • Proven ability to manage time and prioritize tasks in a fast-paced environment., • Hands-on with responsible AI (fairness, explainability, privacy). eSimplicity supports a hybrid work environment operating within the Eastern time zone so we can work with and respond to our government clients. Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by your manager. Occasional travel for training and project meetings. It is estimated to be less than 5% per year. Benefits: We offer a highly competitive salary and full healthcare benefits. Equal Employment Opportunity: eSimplicity is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, age, status as a protected veteran, sexual orientation, gender identity, or status as a qualified individual with a disability. Salary Description $83,000.00 - $113,100.00

• Architect, design, and implement scalable full stack applications with integrated AI/ML capabilities., • Lead technical teams, mentor junior engineers, and establish best practices in AI-driven development., • Design and optimize API integrations with OpenAI, Azure Cognitive Services, AWS AI/ML stack, and Google Vertex AI., • Collaborate with stakeholders to align AI solutions with business goals and compliance standards., • Ensure robust monitoring, logging, and governance of AI API usage., • Evaluate emerging AI APIs and frameworks for adoption in enterprise projects., • Required Skills & Expertise, • Full Stack Development: React/Angular, Node.js, .NET Core, Python, Java., • AI/ML Expertise: Hands-on with OpenAI APIs (ChatGPT, embeddings, fine-tuning), Azure AI (Cognitive Services, OpenAI Service), AWS AI (SageMaker, Comprehend, Rekognition), Google AI (Vertex AI, Dialogflow)., • Cloud & Data: Azure/AWS/GCP proficiency, microservices, APIs, SQL/NoSQL databases., • Leadership: Proven ability to lead teams and manage enterprise-scale delivery., • Soft Skills: Excellent communication, stakeholder engagement, and documentation.

What We Do at Anno.ai Anno.ai is a mission-focused defense technology startup dedicated to accelerating the safe and effective development of next-generation autonomous systems. We specialize in building and operating advanced test ranges for low Technology Readiness Level (TRL) single- or dual- use autonomous platforms, providing a critical bridge between early-stage innovation and real-world mission requirements. Our ranges are designed to replicate complex, contested, and dynamic environments—giving innovators, researchers, and defense partners the ability to validate, stress-test, and mature their systems with speed and rigor. By combining deep technical expertise with a strong national security ethos, Anno.ai ensures that emerging autonomous technologies are tested not only for performance, but for resilience, adaptability, and operational relevance. Anno.ai is a growing company with a team drawn from diverse professional backgrounds, bringing together expertise in defense, technology, engineering, and operations. We intentionally build our teams on the foundation of trust. Our values including the trust rule, ownership, bias for action, never stop learning, and sustainable excellence, not only guide how we work internally, but also how we partner with customers and stakeholders. At Anno.ai, we believe that mission success depends on empowering innovation at the edge. We exist to help our partners move faster, fail smarter, and ultimately deliver autonomous capabilities that safeguard both national security and the future of global stability. Position Overview As a Senior Full-Stack Engineer at Anno.ai, you will design, build, deploy, and maintain production systems used for high-throughput data collection, fusion, and analytics across both cloud platforms and deployed edge environments. You will collaborate closely with infrastructure, data, product, platform, and field engineering teams, serving as a key technical contributor driving system performance, reliability, and usability. This role is part of a fast-moving technology development group. We seek individuals who thrive in ambiguity, take ownership, and deliver solutions with minimal oversight—while also contributing to engineering rigor and cross-team architecture. The ideal candidate for this role would reside in Minnesota. Candidates need to be able to obtain and maintain U.S. Governement security clearance (U.S. citizenship required). The company would pay for clearance costs. They also need to be able to travel up to 20% of the time. What You’ll Do • Build full-stack systems that enable data ingestion, fusion, analysis, and visualization across cloud and edge environments, • Develop distributed services that handle real-time and recorded sensor and media data at scale, • Shape system architectures to support mission-critical performance, reliability, and operational resilience, • Design data models and storage strategies that ensure integrity, performance, and efficient retrieval, • Integrate internal services and external partner systems to support end-to-end workflows, • Create intuitive operator-focused user interfaces and mission-support tooling, • Implement testing, monitoring, deployment, and observability practices to ensure stable and supportable systems, • Deploy and validate software on edge computing devices under lab environments and during field exercises, • Collaborate closely with other engineers, data teams, and field personnel to deliver production-ready autonomous system capabilities Required Qualifications • Bachelor's degree in a relevant field (e.g., Computer Science, Computer Engineering), • 5+ years of software development experience across UI, backend services, and data/storage layers, • 3+ years of Python development experience, • 3+ years of Typescript and React experience for frontend application development, • PostgreSQL or similar relational databases (schema design and optimization), • Designing and integrating secure APIs and web services, • Deploying and operating applications in AWS, familiar with ECS, EC2, Lambda, and S3, • Containerization and orchestration using Docker and Kubernetes, • Working effectively in both Linux and Windows environments, • Troubleshooting distributed systems and network-level interactions (e.g., TCP/IP, routing, VLANs, bandwidth constraints), • CI/CD pipelines and automated deployment workflows, • Communicating complex technical concepts to technical and non-technical stakeholders, • Operating with high ownership and autonomy across multiple concurrent projects, • Using modern collaborative development workflows (e.g., Git-based), • Ability to obtain and maintain U.S. Government security clearance (U.S. Citizenship required), • Ability to travel up to 20% Preferred Qualifications • Experience designing and deploying systems that handle real-time or high-volume sensor, media, or telemetry data, • Strong architectural design skills involving distributed systems, data synchronization, and networked compute environments, • Familiarity with edge computing, constrained compute deployments, or field-operated systems, • Experience with network video systems, streaming pipelines, or sensor fusion environments, • Ability to perform root-cause analysis and develop corrective design strategies, • Demonstrated ability to collaborate across multidisciplinary teams (software, hardware, field/ops) and drive outcomes to completion, • Familiarity with SBOM supply chain integrity, • Prior experience supporting U.S. Department of War programs, cUAS systems, or mission-critical autonomous platforms, • Proven ability to communicate clearly under operational constraints and evolving mission requirements Total Rewards Package for Our US Employees • Competitive salary, • Equity, • Comprehensive benefits package, • 401k with a 5% company match, • Paid holidays and generous paid time off offering, • Paid leave programs, • Patent bonus program, • Employee referral bonus program, • Learning and development program, • Opportunity to work with a team of highly skilled, creative and motivated team members Quick Note on Role Fit If you think you have what it takes to fulfill this opportunity, but don't necessarily check every box, please still connect with us at ___. Feel free to send a cover letter so we can get to know you better!

About Lyra Health Lyra Health is the leading provider of mental health solutions for employers supporting more than 20 million people globally. The company has delivered 13 million sessions of mental health care, published more than 20 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions. About the Role: We’re looking for an exceptional Sr. Fullstack Software Engineer to join our team. We care deeply about making a difference in people’s lives and hope you do too! Remote candidates must be physically located within the United States. • Take ownership of the full-stack development process, from designing backend APIs to implementing the frontend components that will consume them, • Create lasting impact by building and continuously improving our Python and Java-based microservices, • Work with fellow engineering team members to collaboratively create and refine technical designs and solutions, • Collaborate with key partners including data science, product management, design, and behavioral health specialists, • Follow and promote best practices during all phases of software development, adhering to the highest quality and securitystandards, • Drive continuous technical improvement for our platforms and tooling, • Bachelor’s degree in Computer Science or related technical field, • 6+ years of experience developing enterprise or consumer web applications, • Relevant professional experience building scalable back-end services and APIs using Python and/or Java/Spring, • Relevant professional experience developing web applications with ___ and React Native, • Experience with TypeScript, Amazon web service and state-management libraries like Redux preferred

We are looking for a Staff Data Engineer to help us design, build, and scale the data systems that power how Foley operates and grows. In this role, you will lead the development of robust data pipelines, shape our enterprise data architecture, and set the standard for how we model, govern, and access data across the organization. You will operate as a technical leader, influencing how teams think about data, enabling better decisions, and ensuring our systems are scalable, reliable, and built for the future. * Lead the design and evolution of our enterprise data architecture, contributing to our Enterprise Data Model (EDM) initiative * Define standards and best practices for data modeling, storage, and access across systems * Drive architectural decisions that balance scalability, performance, and maintainability * Design, build, and maintain scalable data pipelines across internal databases, vendor systems, and our data warehouse * Ensure high data quality, reliability, and observability across all pipelines * Optimize data workflows for performance and efficiency * Own data warehouse schema design (e.g., dimensional modeling, normalization strategies) * Define and implement role-based access control (RBAC) and data governance best practices * Partner with stakeholders to ensure data definitions are clear, consistent, and trusted * Act as a technical expert and partner to Engineering, Product, Analytics, and Business teams * Influence decisions through strong communication, clear tradeoffs, and practical solutions * Raise the bar for data engineering practices across the organization * Identify opportunities to improve how we work through automation, tooling, and AI * Experiment thoughtfully with new approaches and scale what works * Continuously improve system design, development practices, and team effectiveness * Deep expertise in database architecture and distributed data systems * Strong experience building and maintaining ETL/ELT pipelines in production environments * Proven ability to design scalable data warehouse schemas and data models * Experience implementing data governance practices, including RBAC * Strong software engineering fundamentals (backend systems, data processing, reliability) * Ability to operate at a Staff level: driving technical direction and influencing across teams * Experience with Python, SQL, AWS, Redshift, Airflow * Experience building or supporting machine learning (ML) pipelines in production environments * Experience partnering with Data Science teams to develop and operationalize data products * Think in systems and tradeoffs, not just tools or implementations * Enjoy solving complex, ambiguous data problems and turning them into scalable solutions * Communicate clearly with both technical and non-technical stakeholders * Take ownership of outcomes and raise the bar for those around you * Are curious and proactive about using new tools, including AI, to improve how work gets done Location: This role is primarily remote (US-based) and operates in EST hours, with occasional travel for team collaboration and company events. This role may be based remotely out of the following states: Arizona, California, Colorado, Connecticut, Florida, Georgia, Illinois, Indiana, Kansas, Maryland, Massachusetts, Nebraska, New Hampshire, New Jersey, New York, North Carolina, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Virginia, and Wisconsin. At Foley, we’re reimagining how safety-sensitive industries hire, stay compliant, and manage risk. We’ve evolved into a modern SaaS company with an all-in-one, AI-ready platform that helps transportation, construction, distribution, and utility businesses operate faster, smarter, and safer. As we continue to grow, we’re looking for curious, strategic thinkers who thrive in complexity, are motivated by making an impact, and want to join a team that’s passionate about building great products and supporting customers. Our core values — Teammateship, Grit, and Innovation — guide everything we do. Whether we’re collaborating internally or helping customers, we approach every challenge with optimism, humor, and a shared commitment to success. Benefits Foley offers a comprehensive benefits package that includes medical, dental, and vision coverage, a 401(k) with company match, paid time off and holidays, wellness programs, and an employee assistance program. Equal Employment Opportunity Foley is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, protected veteran status, or any other legally protected characteristic. Reasonable Accommodations If you require a reasonable accommodation during the application or interview process, please contact us at Employment Status Employment with Foley is on an at-will basis. Nothing in this job posting or in future communications should be construed as a contract of employment. Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.