Member, technical staff jobs in Englewood, NJ - 1,325 jobs

Hi, we're The Browser Company 👋 and we're building a better way to use the internet. Browsers are unique in that they are one of the only pieces of software that you share with your parents as well as your kids. Which makes sense, they're our doorway to the most important things - through them we socialize with loved ones, work on our passion projects, and explore our curiosities. But on their own, they don't actually do a whole lot, they're kind of just there. They don't help us organize our messy lives or make it easier to compose our ideas. We believe that the browser could do so much more - it can empower and support the amazing things we do on the internet. That's why we're building one: a browser that can help us grow, create, and stay curious. To accomplish this lofty task, we're building a diverse team of people from different backgrounds and experiences. This isn't optional, it's crucial to our mission, as we need a wide range of perspectives to challenge our assumptions and shape our browser through a bold, creative lens. With that in mind, we especially encourage women, people of color, and others from historically marginalized groups to apply. As a Product Engineer at The Browser Company, you'll play a key role in shaping novel AI features in Dia that redefine how users engage with the browser's core primitives - tabs, history, navigation, and more - so browsing feels effortless and work feels easier. You'll transform ambiguous goals into elegant solutions and set new standards for browser-based AI. We're looking for someone who is product-minded, deeply curious, grounded in user experience, and excited to define new ways of building AI products - ways that feel polished, intuitive, and delightful. Product Engineering at The Browser Company is a place for creative exploration and rapid prototyping. We go from new ideas to prototypes in hand in days, and we ship new features and improvements to Dia weekly, so the impact of your work shows up fast. We listen, iterate, and keep shaping Dia to solve real problems in ways that feel simple and delightful. Overall you will... Lead, architect, and execute LLM-powered features to redefine core Browser primitives Collaborate closely with Design, Product, Data, and our Leadership teams to brainstorm, prototype, and launch new features Champion a product-minded approach, ensuring every technical decision is grounded in user impact and business value. Sweat the small stuff to deliver high‑craft, industry‑leading, interaction‑rich user experiences which set the bar for what's possible. Get familiar with Chromium, Swift and our development environment across Mac, Windows, iOS, and Android. Technical Projects You'll Shape With Us… Dia integration with apps you love: Make Dia the best browser to work with your apps - GSuite, Jira, Notion, and more - so that you can get your work done faster. Make Dia the best traditional browser: Nail the basics and common browser use cases - tabs, extensions, history, and more - while ensuring Dia is performant, reliable, and secure. AI lens with the future of browsing: Reimagine tabs, search, history, and more with assistant‑aware behaviors that feel simple and powerful. Qualifications 6+ years of experience developing high‑craft software products, with a background in user‑facing product development or having shipped AI features from 0‑1. You have hands‑on experience building with LLMs, an understanding of how they work, and a genuine curiosity to go deep on the technology. You're experienced in solving ambiguous problems and have successfully owned complex technical initiatives and projects that have had an outsized impact on a business. You're pragmatic, motivated by nebulous problems, and excited to work in a startup environment with quick product validation cycles. Most of our team is based in North American time zones and require that folks have 4+ hours of overlap time with team members in Eastern Time Zone. You resonate with our company values and can continue to scale your team with these in mind. Compensation and Benefits Our total compensation package for full‑time employees includes base salary, equity, and benefits. The annual salary range for this role is $225,000-275,000 USD. The actual salary offered will vary based on experience level and interview performance. Benefits: We also offer a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. To learn more, visit go.atlassian.com/perksandbenefits. Location: We're a remote‑friendly company and can hire in any country where Atlassian has a legal entity. If you live in New York (or want to visit), you're welcome to work from our beautiful office in Williamsburg. The Browser Company is an ambitious team of close to 100 people (and growing!) who are passionate about building great products. We are a remote‑first, distributed team, with the option to work from office in Brooklyn, New York. We strongly support diversity and encourage people from all backgrounds to apply. 🚙 To read more about what we value as a company, check out Notes on Roadtrips on our blog. #J-18808-Ljbffr

At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff-like payroll, health insurance, 401(k)s, and HR-so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we're proud to support more than 400,000 small businesses across the country, and we're building a workplace that represents and celebrates the customers we serve. Learn more about our Total Rewards philosophy. About the Role: As a Senior Staff Software Engineer on the Embedded Payroll team, you'll be a key technical leader responsible for influencing the team and broader organization as we build and scale our product. You'll do this through a combination of hands‑on development in our complex codebase and guiding others to deliver a high‑quality platform experience. About the Team: Gusto Embedded Payroll is a platform that allows developers to embed payroll directly into their own software using our APIs. We've taken Gusto's robust payroll infrastructure and made it available to third‑party developers. Our vision is to enable anyone to build the best payroll product for their end customers-powering payroll for small and medium businesses across a variety of industries, from vertical SaaS to fintech and neobanks. Here's what you'll do day‑to‑day: Identify and solve high‑impact problems involving technical and organizational complexity that requires understanding and coordination across multiple domains. Engage directly with our developer‑customers to deliver a remarkable payroll product. Influence organization‑wide AI best practices for platform and API engineering, ensuring solutions are secure, compliant, and aligned with business priorities. Partner with developer‑customers to create AI‑assisted onboarding, documentation, and sample apps that accelerate time‑to‑first‑payroll. Ship code. Clean, tested, and performant. Level up the craft of software engineering across the organization by providing technical guidance and mentoring. Inform and maintain best practices for reliability and observability for the team. Troubleshoot and resolve production issues. Here's what we're looking for: 12+ years of professional software development experience with a track record of driving impact at scale. Proven ability to take ownership of company‑wide engineering initiatives and contribute to scaling engineering organizations. Deep experience working across large, complex codebases and comfort operating at multiple layers of abstraction. Demonstrated success in designing and building platforms, services, and APIs with a focus on reliability, scalability, and performance. Curiosity in an AI‑native engineering environment. Leveraging intelligence, automation, and experimentation to design, ship, and operate reliable, partner‑facing payroll APIs at scale. History of mentoring engineers, raising the technical bar, and guiding teams through ambiguous problems and competing priorities. Ability to connect technical decisions to business priorities, align teams around the right goals, and effectively communicate tradeoffs and technical needs to business stakeholders. Our cash compensation amount for this role is targeted at $200,000‑$230,000 /yr in Denver & most remote locations, and $230,000‑$270,000 /yr for San Francisco, Seattle & New York. Final offer amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amounts listed above. Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2‑3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non‑office days for hybrid employees. Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you. #J-18808-Ljbffr

# Staff Software Engineer I, Experimentation Orchestration3.72w ago## Job DescriptionCompany Description Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee, whether a team member of Etsy or Depop, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human. Salary Range $204,000.00 - $240,000.00 Etsy is looking for a passionate Staff Software Engineer to help us enable data-driven learning and decision-making for our Experimentation initiative. Our initiative empowers teams across Etsy to run fast, trustworthy, and scalable experiments - by laying the foundation for how we test ideas, measure impact, and continuously improve our customer experience. This is a high-impact opportunity to influence the technical direction of experimentation at Etsy, which affects feature development across the company. We're looking for someone who thrives in collaborative environments, challenges the status quo, and is a creative problem solver. Additionally, we are looking for someone who embodies Etsy's blameless engineering culture, as we value clear communication, honest feedback, and empathy as the foundation for how we work together and get things done. This is a full-time position reporting to the Engineering Manager, Experimentation. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy. For this role, we are considering candidates based in the United States. Candidates living within commutable distance of Etsy's Brooklyn Office Hub or in the San Francisco Bay Area may be the first to be considered. For candidates within commutable distance, Etsy requires in-office attendance once or twice per week depending on your proximity to the office. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more details about our work modes and workplace safety policies here. What's This Team Like At Etsy • You would join the Experimentation Orchestration team, which focuses on making experiment setup simple, intuitive, and reliable. • We build the core services, APIs, and tools that help teams configure and launch experiments with confidence. Whether it's feature flagging, observability, traffic allocation, or ensuring a consistent user experience, our work sits at the heart of a seamless experimentation workflow. • Our mission is to make testing new ideas effortless - so teams can move faster, learn more, and build better products for our buyers and sellers. • Partner with engineers, analysts, and product managers - both within and beyond the Experimentation initiative - to improve Etsy's experimentation platform. Your work will focus on experiment configuration, orchestration, and event logging. • Take initiative to lead, design, and implement solutions that keep our platform at the forefront of industry standards - and ultimately a reference point for experimentation excellence. • Mentor and uplevel others within the team and across Etsy to help them grow as software engineers. • Advocate for experimentation best practices across engineering teams and contribute to a strong culture of learning and continuous improvement. • Play a key role in driving technical and product direction through thoughtful decision-making and collaboration. • Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law. Qualities that will help you thrive in this role are • You have hands-on experience with A/B testing frameworks and experimentation workflows. • You're excited about full-stack development, particularly in the context of building experimentation platforms. • You have experience providing technical leadership and mentoring others to grow in their craft. • You've built reliable, scalable systems and know how to balance long-term vision with practical delivery. • You write clean, testable code - and help others do the same - in one or more of the following languages: PHP, Python, or Java. • You're proficient with MySQL (or similar relational databases) and experienced in designing data models that support robust, scalable systems. • You have experience with cloud platforms such as Google Cloud Platform, AWS, or Azure. • You're familiar with CI/CD tools and practices that support high-quality, rapid software delivery. • You're familiar with containerization and orchestration tools like Docker and Kubernetes. • You're familiar with monitoring and alerting systems, such as Prometheus and Grafana. • You're comfortable using Git and understand different branching strategies. • You're comfortable working in Linux-based environments and know your way around the command line. Helpful, But Not Required • Familiarity with front-end technologies, such as React. • Experience with data warehousing (e.g. BigQuery) and ETL processes, using big data frameworks such as Kafka and Spark and orchestration tools such as Airflow. Additional Information What's Next If you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So tell us what you're all about. Our Promise At Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status, or any other characteristic protected by applicable law. If, due to a disability, you need an accommodation during any part of the application or interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills. #J-18808-Ljbffr

Gusto is a modern, online people platform that helps small businesses take care of their teams. On top of full-service payroll, Gusto offers health insurance, 401(k)s, expert HR, and team management tools. Today, Gusto offices in Denver, San Francisco, and New York serve more than 400,000 businesses nationwide. Our mission is to create a world where work empowers a better life, and it starts right here at Gusto. That's why we're committed to building a collaborative and inclusive workplace, both physically and virtually. Learn more about our Total Rewards philosophy . About the Team: The Growth org is a product team that focuses on driving revenue growth. We're accelerating Gusto's revenue growth by providing a platform for customer acquisition efforts that drive visitors and leads, as well as building out ML-powered recommendation engine for our ACV expansion initiatives. We're also in an exciting phase of redesigning and expanding our onboarding and activation platform, which will be key in unlocking Gusto's next phase of growth. We're looking for a strategic and motivated engineering leader to empower and scale the engineering teams that are building Gusto's next big thing! Here's what you'll do day-to-day: Define, iterate and execute on initiatives contributing to the Growth's technical roadmap to drive revenue growth. Partner with cross-functional teams to tackle complex and ambiguous problems, translating them into engineering solutions that drive our customer acquisition and ACV expansion platform forward. Execute in different horizons based on Growth's overall goals. This means at times, embedding in a team for multiple months/quarters to deliver complex projects, and at other times, kicking off ambiguous initiatives and helping teams driving alignment and building momentum. Execute in different capacities based on the need of the org and initiative. Dive deep into the hardest technical areas while delegating the rest to partnering teams. Engage with all development teams across Gusto to align and drive towards long-term maintainability and stability of our systems. Mentor and provide guidance to software engineers, fostering growth and development. Actively participate in code reviews and maintain code quality. Here's what we're looking for: 15+ years of professional software development experience Hands-on experience building large scale, complex systems in a wide range of domains Web architecture expertise, including observability and performance Experience in highly cross-functional environments for highly complex products Experience as tech lead, overseeing large initiatives across multiple teams Experience in scaling Engineering organizations Nice to have: Experience building complex revenue systems that spans multiple growth areas: acquisition, expansion, experimentation, marketing and sales automation tools/integrations Experience in experimentation and user experience optimization Experience working closely with Revenue teams Experience building product incorporating ML and AI Our cash compensation amount for this role is targeted at $215,000/yr to $252,000/yr in Denver & most remote locations, and $251,000/yr to $295,000/yr for San Francisco, Seattle & New York. Stock equity is additional. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above. Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto. Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you. #J-18808-Ljbffr

Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses.We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. Our teams build systems that power all the Commerce workflows within Disney Entertainment and ESPN Product & Technology. We implement reliable, high-request services that power user experiences across web, mobile, and living room devices. We are looking for a Principal Software engineer who wants to build and operate these critical services that support all our users! We're a fast-paced, dynamic, collaborative, and fun team, and we're looking forward to learning more about you! Responsibilities Work with a distributed team of engineers across multiple organizations building software collaboratively. Identity patterns that can help the teams scale, create proposals, and drive adoption of those patterns Challenge current architectural choices while collaborating to solve problems in innovative ways. Drive adoption of consistent technical frameworks across the organization Drive best engineering practices to write well-constructed and easy-to-maintain code, defensive and robust tests. Lead through metrics - understand application performance and costs and push for better results. Basic Qualifications 10+ years of related experience crafting large-scale, highly available Java, Scala, etc services utilizing various database and messaging technologies. Strong programming skills in Java and other object-oriented languages and a strong grasp of computer science fundamentals (data structures, algorithms, databases, etc.) Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or a comparable field of study. Experience using source control systems and CI/CD pipelines. An ability to work both independently and collaboratively. Champion cross-team projects. Coach and mentor other specialists on the team to ensure that all software utilizes industry best practices. Collaborate efficiently with product management, technical program management, operations, and other engineering teams to capture requirements, drive implementation, and provide transparency. A broad perspective on problem-solving. Strong communication skills and a desire to share your knowledge with team members and others. Preferred Qualifications Experience directly managing and mentoring a team. #DISNEYTECH 工作概要: Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses.We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. Our teams build systems that power all the Commerce workflows within Disney Entertainment and ESPN Product & Technology. We implement reliable, high-request services that power user experiences across web, mobile, and living room devices. We are looking for a Principal Software engineer who wants to build and operate these critical services that support all our users! We're a fast-paced, dynamic, collaborative, and fun team, and we're looking forward to learning more about you! Responsibilities Work with a distributed team of engineers across multiple organizations building software collaboratively. Identity patterns that can help the teams scale, create proposals, and drive adoption of those patterns Challenge current architectural choices while collaborating to solve problems in innovative ways. Drive adoption of consistent technical frameworks across the organization Drive best engineering practices to write well-constructed and easy-to-maintain code, defensive and robust tests. Lead through metrics - understand application performance and costs and push for better results. Basic Qualifications 10+ years of related experience crafting large-scale, highly available Java, Scala, etc services utilizing various database and messaging technologies. Strong programming skills in Java and other object-oriented languages and a strong grasp of computer science fundamentals (data structures, algorithms, databases, etc.) Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or a comparable field of study. Experience using source control systems and CI/CD pipelines. An ability to work both independently and collaboratively. Champion cross-team projects. Coach and mentor other specialists on the team to ensure that all software utilizes industry best practices. Collaborate efficiently with product management, technical program management, operations, and other engineering teams to capture requirements, drive implementation, and provide transparency. A broad perspective on problem-solving. Strong communication skills and a desire to share your knowledge with team members and others. Preferred Qualifications Experience directly managing and mentoring a team. #DISNEYTECH The hiring range for this position in New York City, NY is $197,400 to $264,700 per year and in San Francisco is $206,400 to $276,700 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.其他資訊:DISNEYTECHDisability Accommodation for Employment Applications The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, visit the Disney candidate disability accommodations FAQs Link opens in new window . We will only respond to those requests that are related to the accessibility of the online application system due to a disability. #J-18808-Ljbffr

Who is Recruiting from Scratch: Recruiting from Scratch is a specialized talent firm dedicated to helping companies build exceptional teams. We partner closely with our clients to deeply understand their needs, then connect them with top‑tier candidates who are highly skilled and the right fit for the company's culture and vision. Our mission is simple: place the best people in the right roles to drive long‑term success for both clients and candidates. https://www.recruitingfromscratch.com/ Job Title: Staff Software Engineer Location: Remote or Hybrid - New York City, Washington D.C., or San Francisco Bay Area Company Stage of Funding: Venture‑backed technology company Office Type: Hybrid (occasional travel as needed) Salary: Competitive (full range shared during process) 1. Company Description We're representing a high‑growth technology company building the network for trusted trade. Through an AI‑powered product network, this team enables governments and businesses to strengthen global economic resilience, enhance security, and keep trade flowing across borders. This is a mission‑driven environment centered on creating world‑scale impact. The engineering team builds the platforms, APIs, services, and core architectures that power this vision. The system is fundamentally driven by AI, scales across massive datasets, and serves a diverse global customer base. Engineers collaborate closely with data scientists to analyze global economic signals, unlock new insights, and deliver powerful APIs and workflows that bring the product to life. 2. What You Will Do In this role, you will play a central part in building and evolving complex, high‑scale systems that sit at the core of the platform's functionality. You will design and ship backend and data‑centric solutions while guiding technical quality across the team. Translate product requirements into technical requirements and iterative design plans. Work closely with a product manager to build implementation plans aligned to technical roadmaps. Maintain, develop, and deploy backend services that power the platform's architecture. Analyze technical challenges and recommend scalable, efficient solutions. Automate, test, and deploy your own work and support the team's deployment practices. Review code and technical designs with a focus on high engineering standards. Mentor other developers and support their technical growth. Drive the day‑to‑day engineering excellence of a team, ensuring roadmap‑aligned progress. Lead technical decision‑making to produce maintainable, high‑quality solutions. Identify technical and operational gaps and create plans to address them. Serve as the domain expert for part of the product surface area while maintaining broad technical fluency. Collaborate with leads and managers to maintain team focus, alignment, and sustainable delivery. 3. Ideal Background The ideal candidate thrives in complex environments, values engineering excellence, and brings deep backend and data engineering experience. BS or MS in Computer Science or equivalent experience. 7+ years of professional experience building backend or data‑driven software in demanding production environments. Experience deploying production code and services to cloud‑hosted environments. Proven ability to deliver iterative releases from proof‑of‑concept to MVP to production. A self‑starter comfortable working on large, ambiguous problem spaces. Strong commitment to clean code, scalable design, and technical craftsmanship. Experience taking ownership of existing codebases and continuing to evolve them. Ability to prioritize effectively and maintain focus on high‑impact areas. Strong written and verbal communication skills. Experience leading engineers on complex projects. Experience with Python machine learning toolsets (NumPy, Pandas, Dedupe). Experience with container technologies such as Docker and Kubernetes. 4. Preferred While not required, experience with the following technologies is highly beneficial: Languages: Python, PySpark Tools: Docker, Git, Kubernetes, Swagger/OpenAPI, AWS/Azure, MLFlow, Celery Data Platforms: Databricks, Delta Lakes 5. Compensation and Benefits Salary: $170,000 - $220,000 USD base salary, depending on experience and skill set. Equity: Competitive equity grants included in most full‑time offers. Bonus: Eligible for discretionary bonus or variable compensation depending on role. Benefits include: Flexible Time Off (FTO) to support work‑life balance Industry‑leading Paid Parental Leave (14-26 weeks fully paid) Comprehensive medical, dental, and vision coverage with generous employer contributions Employer‑paid high‑deductible health plan + HSA contributions Flexible Spending Account (FSA) options Employer‑paid life insurance, short‑ and long‑term disability, and AD&D coverage 401(k) retirement savings program Commuter benefits for transit and parking Wellness benefits, including premium Calm subscription Pet insurance options Employee Assistance Program (confidential support services) Dependent Care FSA for childcare expenses Why This Company Is a Great Place to Work: Collaborative, team‑first culture Strong commitment to engineering excellence Focus on personal and professional development Diverse perspectives welcomed and valued Opportunity to impact global challenges at scale Equal Opportunity: The company is committed to creating an inclusive environment where employees thrive. Hiring decisions are based on qualifications and business needs without regard to protected characteristics. Discrimination or harassment of any kind is prohibited. #J-18808-Ljbffr

A leading education technology company is seeking a Staff Software Engineer to join the Learning Experience team in New York. The role involves developing scalable software solutions, collaborating with cross-functional teams, and integrating AI into educational tools. The ideal candidate has a strong background in software development, particularly with modern technologies like TypeScript and Node.js, along with a passion for improving education through technology. Salary range is $160,000 to $180,000, plus bonuses and benefits. #J-18808-Ljbffr

Why us? Blockchain technology is enabling a rapidly-growing era of innovation for the digital world. It is crucial that blockchain code such as protocols and smart contracts are provably secure and correct. Once deployed, they are public and cannot be changed. Vulnerabilities and bugs in such programs regularly put millions of dollars at stake. This is where CertiK comes in. We are the leading blockchain security company. Our goal is to secure the cyber world by applying cutting edge techniques from academia to secure blockchain code. Come and join this ambitious mission as a research software engineer to work on automated analyses for provably secure and correct blockchain applications! What you will do You will design and develop tools that automatically ensure the correctness of smart contracts or identify security issues and bugs in smart contracts. We have software engineer positions available at all levels of seniority. Title and responsibilities will be commensurate with experience and background. As part of our multinational team of programming language experts, you will participate in the development of tools that rest upon techniques such as symbolic model checking, SAT/SMT solving, abstract interpretation, data flow analysis, and deductive verification. You will have the opportunity to work on all stages of tool development from idea generation to implementation and iterative improvements. Our team is highly supportive and collaborative with great opportunities to learn and grow. About you You have a background in programming language theory and automated reasoning and love to work on the forefront of applying results from theoretical computer science. You love to tackle computationally hard problems and have a proven track record of achieving results, where results are people using your tool to do their jobs. You are collaborative: you share ideas, love to brainstorm with peers, and give and receive feedback. You are comfortable with the unknown and understand that #startuplife means that you will be wearing multiple hats. Responsibilities Extend the scope and depth of our automated program verification tools and brainstorm, design, and implement new tools. Adapt and improve algorithms for symbolic software model checking. Examples include bounded model checking (BMC), counterexample-guided abstraction refinement (CEGAR), and property directed reachability (IC3/PDR). Build and extend translators from different input languages into intermediate representations, optimizing the generated models for automated analysis. Identify new classes of security properties of smart contracts and formalize properties for use in our automated verification tools. Closely collaborate with other software engineers in developing tools and set technical direction for solving problems in consultation with your team and management. Work on all aspects of delivering working software that meets customer needs, including analysis, design, automated testing, operations, CI/CD, measuring results, incorporating customer feedback, and support. Required Qualifications Master's Degree in Computer Science or a related field or 5 years of equivalent experience. Minimum of 4 years of software development experience (includes internships, software developed during research, and open-source development). Minimum of 2 years of experience with one or more of the following: model checking, formal verification, SAT/SMT solving (Z3, CVC4, Yices, MathSAT, SMTInterpol), abstract interpretation, or closely related disciplines. Demonstrated knowledge of fundamental computer science concepts such as data structures, algorithms, mathematical logic, and automata theory. Preferred Qualifications PhD in the broader field of automated reasoning. Publication record in conferences like POPL, CAV, TACAS, FMCAD, FM, etc. Experience in functional programming (OCaml or Haskell). Strong and creative problem-solving skills; always willing to learn and embrace new technologies and to collaborate. Prior experience in a professional software development environment. About the Company Founded in 2018 by professors of Yale University and Columbia University, CertiK is a pioneer in blockchain security, utilizing best-in-class technology to secure and monitor blockchain protocols and smart contracts. CertiK's mission is to secure the cyber world. Starting with blockchain, CertiK applies cutting-edge innovations from academia into enterprise, enabling mission-critical applications to be built with security and correctness. Compensation Target annual base salary for this role performed in the US is $115,000 - $230,000. The exact compensation at which this job is filled will be determined by the skills and experience of qualified candidates. #LI-Remote #blockchain #startups #hiring CertiK accepts applications for this position on an ongoing basis. CertiK is proud to offer medical, vision, and dental insurance, 401(k) plan with company matching, life and accidental death and dismemberment insurance, HSA (with high deductible plan), FSA, and other benefits to all full-time employees, along with flexible paid time off and holidays. CertiK also offers a variable commission program for business development sales roles. 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 form upon hire. CertiK is proud to be an equal opportunity employer. We will not discriminate against any applicant or employee on the basis of age, race, color, creed, religion, sex, sexual orientation, gender, gender identity or expression, medical condition, national origin, ancestry, citizenship, marital status or civil partnership/union status, physical or mental disability, pregnancy, childbirth, genetic information, military and veteran status, or any other basis prohibited by applicable federal, state or local law. CertiK will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. **************************************************************************************************** All CertiK employees are expected to actively support diversity on their teams, and in the Company. #J-18808-Ljbffr

About Invisible Invisible Technologies makes AI work. Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it matters most. Our platform cleans, labels, and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed, the same approach we have used to improve models for more than 80% of the world's top AI companies, including Microsoft, AWS, and Cohere. Our successes span industries, from supply chain automation for Swiss Gear to AI‑enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets. Profitable for more than half a decade, Invisible reached $134M in revenue and ranked as the number two fastest‑growing AI company on the 2024 Inc. 5000. In September 2025, we raised $100M in growth capital to accelerate our mission of making AI actually work in the enterprise and to advance our platform technology. About The Role As a Staff Forward Deployed Engineer (FDE) at Invisible, you'll lead high‑impact, AI‑powered solutions that reshape how our clients operate their most critical workflows. You won't just build and deploy - you'll drive the strategy, architecture, and execution of end‑to‑end systems, working directly with clients. This is a hybrid role: equal parts AI engineer, software builder, and technical consultant. It's perfect for someone who wants to be hands‑on with models and close to the impact they generate. What You'll Do Partner with delivery and executive stakeholders to scope, design, and lead implementation of AI‑driven solutions Identify transformational opportunities in messy, ambiguous workflows and turn them into repeatable systems Lead architecture design and trade‑off discussions across performance, scalability, cost, and reliability Own projects from first discovery call through full deployment - including client‑facing delivery, internal coordination, and post‑launch iteration Build shared infrastructure, reusable components, and internal playbooks to level‑up the team Coach and mentor mid‑level engineers and help shape the culture of forward‑deployed AI engineering at Invisible What We Need 8+ years of software engineering experience, including significant time spent building data, ML, or backend systems Python & ML/LLM Frameworks: Deep proficiency in Python with hands‑on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems Deployment & Infrastructure: Skilled in full‑stack and API‑based deployment patterns, including Docker, FastAPI, Kubernetes, and cloud environments (GCP, AWS) Platform Orchestration: Experienced with workflow orchestration libraries, pub/sub systems (Kafka), and schema governance Data Management: Expertise in data governance and operations, including Unity Catalog and policy management, cluster/job orchestration, data contracts and quality enforcement, Delta/ETL pipelines, and replay processes Strong product and system design instincts - you understand business needs and how to translate them into technical architecture Experience building usable systems from messy data and ambiguous requirements Excellent communication and client‑facing skills; you've led conversations with technical and non‑technical stakeholders alike Proven experience owning projects from scoping through deployment in ambiguous, high‑stakes environments Be willing to be on‑call for our customers when situations arise Ability to travel roughly 25-50% of the time, sometimes short‑notice trips - primarily across North America with occasional international roll‑outs - to work directly on‑site with clients Strong engineering background demonstrated by a Bachelor's degree in Data Science, Computer Science and related fields OR equivalent professional experience What's In It For You Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity. * Offers will also include bonus + equity + benefits. Bonuses and equity are included in offers above entry level. Final compensation is determined by a combination of factors, including location, job‑related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process. What It's Like to Work at Invisible At Invisible, we're not just redefining work - we're reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what's possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you won't just execute tasks - you'll build, innovate, and shape the future alongside world‑class clients pushing the boundaries of AI. We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity. The pace is fast, the challenges are big, and the growth is unmatched. We're not for everyone, and we're okay with that. If you're looking for predictable routines, this isn't the place for you. But if you're driven to create, thrive in dynamic environments, and want a front‑row seat to the AI revolution, you'll fit right in. Accessibility Statement We're committed to providing reasonable accommodations for individuals with disabilities. If you need assistance or accommodation due to a disability, please contact our Talent Acquisition team during the recruitment process at accommodation@invisible.email. Equal Opportunity Statement We're an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, or any other basis protected by law. Apply for this job To apply, please visit our careers page and submit your application through the online portal. All required application information will be captured during the process. #J-18808-Ljbffr

We're assisting a well-funded startup in the healthtech space with their search for Senior or Staff level engineers. Their product helps hospitals manage patient nutrition safely and efficiently. The role will work on a hybrid schedule in either the NYC or SF office, and they're hiring multiple engineers in this capacity. What you'll do: Build impactful features end-to-end across React, TypeScript, Postgres, and AWS Lambda to improve real workflows for staff and patients. Design with intention and create robust, extensible systems built for the realities of clinical environments. Shape how AI works for healthcare from accelerating development internally to streamlining frontline workflows. Collaborate on critical tradeoffs with product and clinical teams to balance safety, usability, and automation. Own the full project arc from clarifying goals, shaping architecture, and managing risks to improving after launch. Co-own the engineering culture by raising concerns early, refining processes, and making every release smoother than the last. What you'll bring: 5 - 10 years of experience in software engineering, with an emphasis on AI and backend development. Relevant dev experience at modern, scaling startups (early-stage or fast-moving) Full-stack Typsecript experience (eg. React, NodeJS/NextJS/etc.) You regularly use AI tools (e.g. Cursor, Copilot, ChatGPT) Nice to haves: Health tech experience at modern startup Built or shipped AI/LLM-powered features Terraform, AWS serverless architecture, or IaaC #J-18808-Ljbffr

Who We Are At Picnic, we are dedicated to building Infrastructure for Better Food. Our mission is to empower restaurateurs worldwide to thrive in the online food delivery market. By making food more affordable, of higher quality, and convenient, we're transforming the industry for everyone, from budding entrepreneurs opening their first restaurant to global quick-service chains. What You'll Do As a backend-focused Software Engineer at Picnic, you'll play a crucial role in our data-driven development team, helping to advance our state-of-the-art menu platform. Your responsibilities will include: Data-Driven Development: Contribute to our data-centric development efforts. Project Planning: Participate in strategic planning for various internal tools. Agile Methodologies: Implement and test software using agile methodologies. Collaborative Teamwork: Work closely with a team to enhance and support our technology. Code Contribution: Write, debug, maintain, and test code across multiple projects. Architectural Design: Design scalable systems with a focus on robust architecture. Continuous Improvement: Engage in continuous improvement initiatives. Innovation: Drive innovation within the team and support technological advancements at CSS. What the Team Focuses On Our menu platform (check our tech blog) offers comprehensive menu management features designed to streamline restaurant operations, enhance customer experiences, and optimize performance. It serves as a single source of truth for menus, seamlessly integrating with online channels such as DoorDash, UberEats, and Grubhub and offline point-of-sale (POS) systems like Square, Toast, and NCR. Key capabilities include updating menus with new items, pricing, and taxes, performing A/B testing on different structures, setting availability by channel, creating combos and promotions, managing ingredients and SKUs, and configuring operational hours. Additionally, our platform features automated linking to ensure POS and online menus are always synchronized, minimizing discrepancies. Boasting a 99.9% availability rate, our platform supports a vast network of brands in the US and worldwide, ensuring uninterrupted service. Over 100,000 restaurateurs use our platform daily to streamline their operations and consistently express high satisfaction. What We're Looking For Education: Bachelor's Degree in Computer Science or equivalent. Experience: 7-10 years of experience in a relevant role. Individual Contribution: Proven track record of significant contributions in previous roles, demonstrating your impact. Architectural Skills: Ability to design and create robust architecture from scratch and evolve existing systems. Communication Skills: Strong communication and presentation skills, with the ability to collaborate with non-engineering stakeholders. Technical Expertise: Experience designing and implementing scalable, reliable, and efficient distributed systems. Familiarity with Java / Go / Kotlin is required. Concurrency: Experience building systems that can execute multiple tasks while managing overlapping run-time and space complexities simultaneously. Application Maintenance: Experience in maintaining and extending large-scale, high-traffic applications. Why Join Us Growing Market: You'll be part of an $80 billion market projected to reach at least $500 billion by 2030 in the US alone. Industry Impact: Join a team that is transforming the restaurant industry and helping restaurants succeed in online food delivery. Collaborative Environment: Benefit from the support and guidance of experienced colleagues and managers, who will help you learn, grow, and achieve your goals. Work closely with other teams to ensure our customers' success. Additional Information This role is based in our NYC office. We look forward to sharing more about a meaningful career at Picnic!

Job Description Stuut is transforming accounts receivable for B2B companies-making collections smarter and faster for companies that have historically relied on manual processes that are labor intensive and costly. Our platform is gaining traction with finance teams across industrials, chemicals, and manufacturing sectors from Fortune 10 brands to scaling midmarkets. We're backed by top-tier investors including a16z, Khosla, Activant, 1984 Ventures and Page One. The Role We're hiring a Member of Technical Staff - Fullstack to design, build, and scale end-to-end systems that power Stuut's platform for B2B financial operations. You'll work closely with Product, Design, Backend, and Frontend teams, as well as customers to deliver seamless, high-performance experiences across the entire stack. This is a high-impact role for someone who can own projects from inception through scaling, think across systems, and deliver reliable, user-centered solutions. You'll play a critical role in shaping Stuut's engineering culture and product experience, ensuring our full stack systems are both elegant and scalable as we grow. What You'll Do Drive Stuut's full stack technical vision through cross-functional collaboration across product, design, and engineering. Lead complex projects spanning frontend, backend, and system integrations, from API design to polished user experiences. Build end-to-end features - from database schema to production-ready UI - ensuring seamless data flow, scalability, and performance. Design and implement robust backend services, APIs, and microservices while crafting intuitive, responsive frontend experiences. Continuously improve engineering processes, tools, and systems to scale productivity, reliability, and velocity across the stack. Recruit, mentor, and develop top engineering talent, fostering a culture of excellence, humility, and speed. Engage directly with customers to understand and solve complex workflow challenges through comprehensive full stack solutions. You Might Be a Fit If You… Have 5+ years of full stack engineering experience with a track record of delivering products at scale. Are highly skilled in Python and TypeScript, with experience building both robust backend services and modern frontend applications. Have strong expertise in database design, API development, and system architecture. Are proficient in modern frameworks like Vue.js, React, or Angular (frontend) and Django, FastAPI, Flask, or Node.js (backend). Have hands-on experience with cloud platforms (AWS, GCP, Azure), containerization, and CI/CD pipelines. Thrive in early-stage startup environments, eager to build systems and processes from scratch. Enjoy engaging directly with customers to shape technical solutions around real-world needs. Have experience mentoring engineers and shaping high-performing engineering cultures. Are committed to continuous learning and mastering your craft across the stack, with a focus on solving customer pain points through practical, scalable solutions. Compensation Top-of-market salary and equity package Benefits (for U.S.-based full-time employees) Medical, dental & vision insurance coverage for you 401(k) & Match Equity Flexible PTO Parental Leave Compensation Range: $185K - $250K

Category-defining tech. Career-defining work. Lots of tech companies disrupt. But, many fail when they try to scale. We're different. CockroachDB makes it easier for companies to build and scale apps. This is how and why we're helping some of the most innovative companies on the planet. We tackle problems head-on and focus on solutions that create lasting impact. Because when our customers win, we all win. The Role CockroachDB provides the backbone of storing data on a global scale. Our core mission on the SRE team is to operate at scale a secure & reliable Cockroach Cloud product. We provide consultation, planning, architectural oversight, concrete designs, development, and implementation that improve the resilience, efficiency, performance, and availability of our Cloud Service. We also take pride in being good on-call engineers. We believe regular reflection on the experience of being on-call can contribute in the short, medium, & long term to improvements to the core product, including to CRDB itself. As a Site Reliability Engineer you'll help manage and scale our CockroachCloud service, a fully managed global offering of CockroachDB spanning multiple cloud providers. You will oversee our production system, ensuring that we can provide stable and scalable infrastructure as we deliver CockroachDB to our customers. You Will Manage the infrastructure for cloud services, including running internal production systems and hosting CockroachDB for our external customers. Design, write and deliver software and systems to increase product reliability and operational efficiency. Develop custom tools as necessary. Keep a complex system running and solve problems relating to mission-critical services. Design, implement, operate, and troubleshoot the automation and monitoring of production clusters to maximize performance and availability. Drive the company through disaster recovery tests, where we manually turn down pieces of CockroachDB to test its overall resilience to failures. Participate in an on-call rotation for our production systems and hosted services. The Expectations In your first 30 days, you will onboard and be exposed to our current internal and customer-facing production systems. Working with our existing SRE and engineering teams, you will pair on production operations and build out runbooks for the operation of different systems. We believe that it's essential for you to take this first month to become familiar with our technology and our company. After 3 months, you'll be fully integrated into the team. You will develop and own tooling for reliability, automation, and other issues related to CockroachCloud's stability and scalability. You will identify new opportunities for automating processes, streamlining delivery, deploying new core functionality, and building great tools. You will help make CockroachCloud the best platform to host CockroachDB on by bringing your expertise to our database. You Have Expertise in analyzing, monitoring, and troubleshooting large-scale distributed systems. Experience in software development using one or more of the following: Go, C, C++, Python, Java. Proficiency working with algorithms, data structures, and production troubleshooting. Expertise in working with major cloud providers (AWS, Azure, GCP, etc.) and Cloud APIs. Debugged and optimized code and to automate routine tasks. Working knowledge of web and network protocols and standards (HTTP, TLS, DNS, etc.) Prior on-call experience, exhibiting sense of ownership, attention to detail, and urgency. Experience building collaborative relationships with your colleagues. You enjoy being part of the code review process and partnering with your teammates on challenging problems. The Team We are a group of software engineers first & foremost. We use software engineering as a means to achieve our mission; this is the SRE way. The SRE team is currently distributed across North America (5) and India (4). Reporting to Tom Schmidt - Director, Production Engineering Tom recently joined Cockroach Labs as manager of Site Reliability Engineering and has taken responsibility for Cockroach Cloud's production operations. Tom joined Cockroach Labs after 15 years at IBM where he initially contributed in a wide variety of technical leadership roles, generally focussing on quality and automation across compiler development, test frameworks, CICD, and more. Over the past 7 years, Tom has become an enthusiastic advocate of the Site Reliability Engineering discipline, presenting on the topic at conferences, developing certification curriculum, and securing multiple patents. Tom was also a primary contributor towards the establishment of IBMs formal SRE profession and was recognized as one of the first three SRE Thought Leaders within the company. Most recently, Tom transitioned into a management role where he introduced Site Reliability Engineering to the IBM Business Analytics organization, building an SRE team from the ground up, eventually managing over 20 individuals across 3 unique project areas while establishing practices that now guide over 80 engineers internationally. Cockroach Labs presented a new and unique opportunity to gain experience in a high paced startup environment, laying the foundation for scalable reliability as we prepare for the rapid growth of our Cockroach Cloud offering. Beyond the business, Tom is blessed to call himself a proud father of a 4 year old boy, and otherwise enjoys finding balance between spending time in nature (hiking, camping, exploring) and testing his mettle in competitive gaming. Jordan Lewis - VP, Engineering Jordan is the Head of Engineering for Cockroach Labs. He's responsible for the teams that build, maintain and keep CockroachDB reliably serving the needs of Cockroach Labs' most demanding customer base. He joined Cockroach Labs as a database engineer in 2016 when it was just 25 people before moving into engineering leadership and most recently moving to lead the Cloud organization. Jordan lives in his hometown of Brooklyn NY with his wife. Outside of work he enjoys folk music and riding his electric scooter around town. Cockroach Labs is proud to be an Equal Opportunity Employer building a diverse and inclusive workforce. If you need additional accommodations to feel comfortable during your interview process, please email us at accessibility@cockroachlabs.com. Cockroach Labs has a hybrid work model, with Roachers that are local to one of our offices coming in on Mondays, Tuesdays, and Thursdays and working flexibly the rest of the week. While we've learned valuable lessons working remotely, nothing can replace the connection, creativity, and fun that occurs when Roachers get together and we are committed to fostering a workplace that encourages collaboration and allows us all to do our best work. Benefits Stock Options Medical Insurance Vision Insurance Dental Insurance Life and Disability Insurance Professional Development Funds Flexible Time Off Paid Holidays Paid Sick Days Paid Parental Leave Retirement Benefits Mental Wellbeing Benefits And more! The annual anticipated base salary range for U.S. candidates for this role is listed in USD below. Salary is one component of the Cockroach Labs' Total Rewards package, which also includes, for each employee: stock options, medical insurance, vision insurance, dental insurance, life and disability insurance, funds towards professional development resources, flexible paid time off, 11 paid holidays a year, 10 paid sick days a year, paid parental leave, a 401(k) plan, and wellbeing benefits. We set standard ranges for all U.S.-based roles based on function, level, and geographic location, benchmarked against similar stage growth companies. Actual salaries may vary and fall outside of this range depending on factors such as a candidate's qualifications, geographic location, skills, experience, and competencies. In addition, we are often open to a wide variety of profiles, and recognize that the person we hire may be less experienced (or more senior) than this job description as posted. Salaries for candidates outside the U.S. will vary based on local compensation structures. This position will remain posted until filled. Applicants should apply via our Careers Page. Annual Anticipated Base Salary Range (U.S)$179,000-$236,900 USD

At Anchorage Digital, we are building the world's most advanced digital asset platform for institutions to participate in crypto. Anchorage Digital is a crypto platform that enables institutions to participate in digital assets through custody, staking, trading, governance, settlement, and the industry's leading security infrastructure. Home to Anchorage Digital Bank N.A., the first federally chartered crypto bank in the U.S., Anchorage Digital also serves institutions through Anchorage Digital Singapore, Porto by Anchorage Digital, and other offerings. The company is funded by leading institutions including Andreessen Horowitz, GIC, Goldman Sachs, KKR, and Visa, with its Series D valuation over $3 billion. Founded in 2017 in San Francisco, California, Anchorage Digital has offices in New York, New York; Porto, Portugal; Singapore; and Sioux Falls, South Dakota. Learn more at anchorage.com, on X @Anchorage, and on LinkedIn. The frontend team is responsible for four key areas of Anchorage's product surface - the KYC onboarding application, the internal web dashboard, and the external facing client dashboard. We work to add new functionality to, support existing functionality for, and optimize each of these codebases. We think about growth and career development differently at Anchorage Digital. We define performance as acquiring, possessing, and practicing a relevant set of skills and competencies - and the ability to apply them effectively and consistently. We have created the Factors of Growth & Impact to help Anchorage Digital “Villagers” better measure impact and the rich and rewarding learning that happens while exploring, developing, and mastering the capabilities and contributions within and outside of the Front End Software Engineering role. You will be coached, mentored and guided to grow your capabilities in 4 major areas:Technical Skills: Create an intuitive user experience that simplifies complex data into digestible, actionable insights. Build high fidelity data visualizations from the ground up, including: maps, charts, graphs, videos, and biometrics. Complexity and Impact of Work: Find the right balance between progress (i.e. shipping quickly) and perfection (i.e. measuring twice). Work on the front lines of the blockchain/crypto movement and SecOps innovation. Ship code that will impact the global economy. Organizational Knowledge: Foster an efficient deterministic testing culture, with an emphasis on minimizing tech debt and bureaucracy. Collaborate cross-functionally with everyone. Review code across the entire stack and engineering organization while actively participating in product development. Help scale the team. Communication and Influence Influence architecture/product roadmap - have a seat at the table. You may be a fit for this role if you: Have real world experience building web applications/UI from scratch and supporting them over a meaningful period of time. Have mastered at least one JavaScript framework (ex. React.Js, Angular.Js, Vue.Js, Ember, etc.) Genuinely care about code quality and test infrastructure. Prioritize end-user experience and business value over “cool tech.” Have developed “computer science fundamentals”, i.e. concurrency, algorithms, and data structures (Formal CS degree NOT required). Self-describe as some combination of the following: creative, humble, ambitious, detail-oriented, hardworking, trustworthy, eager to learn, methodical, action-oriented, and tenacious. Although not a requirement, bonus points if: You have production experience with web security. You've built a Chrome extension. In your mind the word “crypto” stands for cryptography, not cryptocurrency. You read blockchain protocol white papers for fun, and stay up to date with the proliferation of cryptoasset innovations. You have a background in the finance industry. You were emotionally moved by the soundtrack to Hamilton, which chronicles the founding of a new financial system. :) Compensation at Anchorage Digital: Compensation at Anchorage Digital is market-driven and data-informed. All full-time employees receive a market-leading salary, meaningful equity, and a generous perks and benefits package. Compensation Range: $189,000-$230,000 - this salary range may be inclusive of multiple regional locations and job grades. This compensation range will be narrowed during the interview process based on skills, abilities, and experience required. ****We partner with third party firms annually to verify equity, cash, benefits, and perks benchmarks. Benefits: Anchorage Digital is proud to provide market-leading benefits and perks to our employees. We are only 1% of companies who offer 100% health, dental, and vision coverage for you and your dependents. This means no monthly out-of-pocket premiums for you or your family. We offer a wide range of benefits to our employees globally. You can learn more about our culture and perks and benefits here. About Anchorage Digital: Who we are The Anchorage Village, what we call our team, brings together the brightest minds from platform security, financial services, and distributed ledger technology to provide the building blocks that empower institutions to safely participate in the evolving digital asset ecosystem. As a diverse team of more than 600 members, we are united in one common goal: building the future of finance by providing the foundation upon which value moves safely in the new global economy. Anchorage Digital is committed to being a welcoming and inclusive workplace for everyone, and we are intentional about making sure people feel respected, supported, and connected at work-regardless of who you are or where you come from. We value and celebrate our differences and we believe being open about who we are allows us to do the best work of our lives. Anchorage Digital is an Equal Opportunity Employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. Anchorage Digital considers qualified applicants regardless of criminal histories, consistent with other legal requirements. “Anchorage Digital” refers to services that are offered either through Anchorage Digital Bank National Association, an OCC-chartered national trust bank, or Anchorage Lending CA, LLC a finance lender licensed by the California Department of Financial Protection and Innovation, License No. 60DBO-11976, or Anchorage Digital Singapore Pte Ltd, a Singapore private limited company, all wholly-owned subsidiaries of Anchor Labs, Inc., a Delaware corporation. Protecting your privacy rights is important to Anchorage Digital, and we work to maintain the trust and confidence of our clients when handling personal or financial information. Please see our privacy policy notices here.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.

About Us: Modal provides the infrastructure foundation for AI teams. With instant GPU access, sub-second container startups, and native storage, Modal makes it simple to train models, run batch jobs, and serve low-latency inference. Companies like Suno, Lovable, and Substack rely on Modal to move from prototype to production without the burden of managing infrastructure. We're a fast-growing team based out of NYC, SF, and Stockholm. We've hit 9-figure ARR and recently raised a Series B at a $1.1B valuation. We have thousands of customers who rely on us for production AI workloads, including Lovable, Scale AI, Substack, and Suno. Working at Modal means joining one of the fastest-growing AI infrastructure organizations at an early stage, with many opportunities to grow within the company. Our team includes creators of popular open-source projects (e.g. Seaborn, Luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: At Modal, we dynamically scale workloads across many cloud providers (see Linear Programming for Fun and Profit). We are looking for engineers with backgrounds spanning cloud infra, data engineering, and mathematical optimization to push this system to the next level. This role is for people who are deep systems thinkers and love optimizing things. You will be responsible for the system end-to-end, including things like: Negotiating with cloud vendors and influencing our cloud strategy. Modeling GPU and resource costs. Coming up with, backtesting, and rolling out new optimizations. Designing the next iteration of our workload scheduling system. Pricing new product offerings and GPU types. Requirements: 5+ years of experience writing high-quality production code. Strong cloud skills, and deep familiarity with at least one of AWS, GCP, Azure, Oracle Cloud. Experience with data science, visualization, and statistics. A love for optimizing stuff, especially the bottom line. Familiarity with linear programming solvers and related optimization techniques is a plus. Ability to work in-person in our NYC office.

About Basis Basis equips accountants with a team of AI agents to take on real workflows. We have hit product-market fit, have more demand than we can meet, and just raised $34m to scale at a speed that meets this moment. Built in New York City. Read more about Basis here. About the Team The Platform Engineering team at Basis builds and runs the infrastructure that powers our AI research and products. We're a lean team that loves building large-scale distributed systems from scratch. We focus on clarity: clean abstractions, simple mental models, and clear interfaces that help our product and research teams move fast. We build the foundational capabilities an AI accountant needs. That means modeling the accounting world (concepts, workflows, constraints) and providing solid foundations: scalable services, efficient data pipelines, and comprehensive observability. About the Role As a Platform Engineer at Basis, you'll own projects completely from scoping to delivery. You'll be the Responsible Party (RP) for the systems you design. That means you decide how to build them, how to measure success, and when they're ready to ship. We trust you to manage yourself. You'll plan your own projects, work closely with your pod, and take full responsibility for execution and quality. You'll build systems that serve every part of Basis: AI, product, and internal agents. And you'll make those systems fast, reliable, and easy to understand. What you'll be doing: Build and scale our core infrastructure Design and scale services for reliability, cost, and growth. Define deployment and runtime patterns (containers, orchestration, IaC, secrets, CI/CD). Build observability systems (metrics, logs, traces) and make recovery straightforward. Own your services in production. Understand how they behave and continuously improve them. Design the data systems that power our AI Build pipelines that ingest, transform, and deliver high-quality financial data. Add validation, lineage tracking, and drift detection directly into workflows. Provide clean, well-modeled datasets to agents and product surfaces with clear contracts. Continuously simplify. Turn complexity into elegant, composable systems. Model the world our AI operates in Capture accounting entities, relationships, and rules as data models and schemas. Design the abstractions that make reasoning and automation possible. Build systems that encode domain rules about what agents can and cannot do. Operate with ownership and clarity Plan and execute your projects as an RP: scope, architect, implement, and deliver. Document decisions clearly so others can build on your work. Run your own postmortems and continuously improve how you build. Work with your pod (Platform, ML, Product) to align priorities and solve blockers quickly. 📍 Location: NYC, Flatiron office. In-person team. What Success looks like in this role You run your projects from concept to production and maintain high quality standards. Your systems are simple, scalable, observable, and elegant. Other teams build faster because your abstractions are clear and well-designed. You don't just follow patterns. You understand why they exist. You work with conviction, communicate clearly, and raise the bar for those around you. Why Join Basis? We offer a competitive and thoughtful benefits package designed to support your physical, mental, and financial well-being: Health & Wellness: Premium Medical, Dental, and Vision coverage; Life Insurance; and 6 coaching & 6 therapy sessions through Spring Health. Flexibility: Unlimited PTO + 12 paid company holidays. In-Office Perks: Daily meal stipends, a fully stocked kitchen, and $300 toward your custom desk setup. Financial Benefits: Pre-tax commuter benefits and 401(k) retirement plan Team Culture: Monthly office activities and frequent optional team happy hours.

Product TensorZero is building an automated AI engineer (”TensorZero Autopilot”) powered by our open-source LLMOps platform (”TensorZero Stack”). TensorZero Stack We started by building an open-source LLMOps platform for full-stack LLM engineering: Gateway: access every LLM provider through a unified API ( Observability: monitor your LLM systems, programmatically or with a UI Optimization: optimize your prompts, models, and inference strategies Evaluations: benchmark individual inferences or end-to-end workflows Experimentation: deploy with built-in A/B testing, fallbacks, etc. Today, the TensorZero Stack is used by companies ranging from frontier AI startups to Fortune 50 enterprises. TensorZero Autopilot Now we're working on TensorZero Autopilot, an automated AI engineer powered by our open-source LLMOps platform. Think of it like “Claude Code for TensorZero”. TensorZero Autopilot collaborates with engineering teams to automate LLM engineering - with full visibility and control. For example, it can: Analyze millions of inferences to surface error patterns and optimization opportunities Recommend models and inference strategies to improve quality, cost, and latency Generate and refine prompts based on human feedback, metrics, and evaluations Drive optimization workflows like fine-tuning, reinforcement learning, and distillation Set up evaluations, prevent regressions, and align LLM judges to real-world scenarios Run A/B tests to validate changes, identify winners, and close the feedback loop By itself, TensorZero Autopilot drove substantial performance improvements for LLM systems in benchmarks and synthetic environments ranging from data extraction to customer support agents. Role We are looking for a Member of Technical Staff with a background in front-end engineering. You'll work alongside and learn from experts in the field (e.g. ex-maintainer of the Rust compiler, ML researchers with thousands of citations). Much of your work will be open-source. Team & Culture We're a small, deeply technical team based in NYC (in person). As an early contributor, you'll work closely with us and have a significant impact on the project's future and vision. Viraj Mehta (Co-Founder & CTO) is an ML researcher with deep expertise in reinforcement learning and LLMs. He received a PhD from CMU with an emphasis on data-efficient RL for nuclear fusion and LLMs, and previously worked in machine learning at KKR and a fintech startup. He holds a BS in math and an MS in computer science from Stanford. Gabriel Bianconi (Co-Founder & CEO) was the chief product officer at Ondo Finance ($20B+ valuation) and previously spent years consulting on machine learning for companies ranging from early-stage tech startups to some of the largest financial firms. He holds BS and MS degrees in computer science from Stanford. Aaron Hill (MTS) is a back-end engineer with deep expertise in Rust. He became one of the maintainers of the Rust compiler while still in college. Later, he worked on back-end infrastructure at AWS and Svix. He's also an active contributor to many notable open-source Rust projects (e.g. Ruffle). Andrew Jesson (MTS) is an ML researcher with deep expertise in Bayesian ML, causal inference, RL, and LLMs. He recently completed a postdoc at Columbia and previously received a PhD from Oxford, during which he interned at Meta. He has 4k+ citations and several first-author papers at NeurIPS and other top ML venues. Alan Mishler (MTS) is an ML researcher with a background in causal inference, sequential decision making, uncertainty quantification, and algorithmic fairness (1.2k+ citations). Previously, he was an AI Research Lead at JPMorgan AI Research and received a PhD in Statistics from CMU, during which he interned at Google and Box. Shuyang Li (MTS) previously was a staff software engineer at Google focused on next-generation search infrastructure, LLM-based search, and many other specialized search products (local, travel, shopping, maps, enterprise, etc.). Before that, he worked on ML/analytics products at Palantir and graduated summa cum laude from Notre Dame. Simeon Lee (MTS) previously was the Head of Design at Merge from inception through Series B. He was also a founding & senior design engineer at multiple startups in AI and developer tools. Earlier in his career, he worked in investment banking and graduated from USC. _____ You? What We Offer Competitive compensation - We believe that great talent deserves great compensation (salary, equity, benefits), even at an early-stage startup. Open-source contributions - The vast majority of your work will be open-source and public. Learning and growth opportunities - You'll join with a background in front-end but will have the opportunity (& be encouraged) to expand your skill set way beyond that (curious about Rust or ML?). Small, technical, in-person team - You'll work alongside a 100% technical team and help shape our vision, culture, and engineering practices. Best-in-class investors - We're lucky to be have raised $7.3M+ from leading funds like FirstMark (backed ClickHouse), Bessemer (backed Anthropic), Bedrock (backed OpenAI), and many angels. We have years of runway and a long-term mindset. We're Looking For Strong technical background - You've tackled hard technical problems. You're comfortable driving large projects from inception to deployment (to start, TensorZero's observability dashboard). Passionate about your craft & design - You're excited about the idea of re-thinking developer tooling from first principles to build interfaces and workflows that don't just work but also delight. Background in front-end SWE - We've started building POCs using Remix and Tailwind, but ultimately we're not experts in this area (for now!). You'll complement the team with a strong background and technical leadership (esp. React). Hungry for personal growth - There are no speed limits at TensorZero. You're excited about learning and contributing across the stack. In-person in NYC - We work in-person five days a week in NYC. We work hard and obsess about the craft.

Sciemo builds AI for consumer goods: technology that helps businesses make faster, smarter, and more human decisions across the entire IBP process. From optimizing promotions to balancing demand and supply, Sciemo's platform transforms messy, siloed data into measurable business impact. Its AI agents assist decision-makers in real-time, turning complexity into clarity. We are headquartered in New York City. overview We are an industry-leading startup developing AI for consumer brands. Our solutions leverage machine learning, generative AI, agent-based systems, and graph technologies to get our customers to insights in seconds and to business impact in minutes using our products. We are looking for a Founding Member of Technical Staff to join our team guiding the development and deployment of complex ML systems reporting to Dan Wald, Co-Founder & CAIO. role As a Founding Member of Technical Staff, you will work in a hybrid capacity as both a Data Scientist and Machine Learning Engineer, you will play a pivotal role in designing, building, and deploying the intelligence behind our AI products. You'll work across the full spectrum of applied AI-spanning data science, machine learning, and large-scale production engineering. This hybrid role requires both deep expertise in developing innovative models and the engineering discipline to deploy and maintain them in robust, scalable systems. You'll collaborate closely with data engineers, product leads, backend engineers, and customer-facing teams to ensure that our AI systems deliver measurable value in real-world environments. As one of the earliest technical hires, you will help define our AI strategy, set technical standards, and establish best practices for applied AI at scale. responsibilities Develop and Deploy AI Systems Architect, build, and deploy ML/GenAI products on cloud infrastructure (AWS or similar). Design and implement end-to-end AI workflows: data ingestion, feature engineering, modeling, evaluation, and deployment. Create automated pipelines for continuous learning, model promotion, and performance monitoring. System Architecture & Reliability Lead the design of ML orchestration frameworks (Airflow, Kedro, ZenML, Flyte) to ensure reproducibility and scalability. Oversee deployment of large-scale and multi-agent AI systems with high reliability and fault tolerance. Continuously optimize workflows for efficiency, robustness, and performance in production. Applied Data Science & Business Impact Translate complex business problems into AI solutions, including data collection, experiment design, and roadmap planning. Develop interpretable, modular, and scalable ML systems that deliver measurable business value. Work directly with customers and stakeholders to ensure deployed systems achieve their intended impact. Innovation & Thought Leadership Stay current with advancements in AI/ML, including LLMs, diffusion models, graph AI, and agent architectures. Propose and prototype new approaches for integrating emerging technologies into production products. Develop methods to quantify and communicate AI performance and business ROI. Promote responsible, ethical, and impactful AI practices across the organization. all about you Proven track record of launching AI/ML products into production. Experience with core ML/AI tools: Python, PyTorch, TensorFlow / Keras, scikit-learn, SQL, Spark. Experience writing production-grade Python (object- and function-oriented). Hands-on expertise with large-scale ML systems, GenAI (LLMs, diffusion), agents, and graph-based models. Experience designing and managing ML orchestration workflows and versioned pipelines (Airflow, ZenML, Kedro, dbt, etc.). Strong problem-solving skills, adaptability, and a “hacker” mentality. Excellent communication skills-able to work with both technical and non-technical stakeholders. Demonstrated thought leadership and innovation in applied AI. benefits & perks Check out our one pager! location Hybrid role based in New York City; open to remote U.S. candidates willing to travel monthly to our NYC office. interview rounds Phone Screen Peer Interview Founders' Interview equal opportunity employer We are an equal opportunity employer and consider applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disability, veteran status, or any other characteristic protected by law. We actively encourage diversity, inclusion, and equitable hiring practices. If you require accommodations during the hiring process, please reach out to our recruitment team at **************

Software Engineer Valthos Inc. Valthos is an applied biological intelligence company. We build and deploy software and biological AI systems to safeguard humanity. The same AI architectures that enable self-driving cars, land rockets with precision, and deliver expert-level reasoning are beginning to be deployed in biological design. To stay ahead, we must advance our arsenal of tools to capture and design against real-time sensitivities in nature's evolving mutational landscape. We are a group of mission-driven software engineers from Palantir and applied biological ML engineers from MIT's Broad Institute and DeepMind making the latest advances in computational biology accessible in the real-world for federal and commercial use. We are seeking full stack software engineers to design and implement a platform that will allow Valthos to bring frontier methods to the end users, scientific and technical. Your day-to-day experience will range from implementing complex distributed systems, managing container-based scalable infrastructure, building REST APIs, integrating open source solutions, understanding the needs of our users and adapting our software to suit. You'll collaborate closely with technical and non-technical counterparts to understand our developers' and customers' problems and build software and infrastructure to tackle them. The Role Work with the AI Engineers and Computational Biologists to design and build high-scale, opinionated APIs that are data/GPU intensive Prototype and develop interactive workflow UIs for life-science users Iterate on and create data visualization tools that provide users with model results and context to understand them Work with users to develop SDK for technical users Develop and maintain a secure cloud environment for Valthos data and results. Build distributed systems that efficiently/predictably process large-scale user data using both CPUs and GPUs Build and maintain the backend infrastructure required for scaling out storage and compute Design and build Valthos storage and search systems. Expect rapidly increasing scale and latency requirements. Develop and maintain the systems and services that underpin the productivity of our development teams. Everything from our internal dev environments to managing automated deployments to our production infrastructure. Qualifications (required) Experience implementing or working on distributed systems and their associated technologies (Kubernetes, Docker, etc) Working knowledge of the full application stack (Web UX frameworks, API design and development, data modeling, RDBs, etc). Preference for working in a fast-paced, autonomous environment Qualifications (preferred) Experience working with AWS or other IaaS providers. Experience working with large scale data and it's associated technologies (parquet, pandas, etc) Experience building data pipelines and asynchronous data processing Experience working with biological data (sequences) and bioinformatics tools Contributions to open-source projects If there is a fit, we'll schedule two technical interviews. The final step is an onsite in our office, where you'll work on a small project, discuss ideas, and work with the wider team.