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Marketing Cloud Solution Architect (remote)IntroWe are seeking a passionate Marketing Cloud Solution Architect to help clients unlock business value through innovative marketing technology solutions. In this role, you will leverage your deep understanding of marketing technology platforms to design and implement solutions that create meaningful customer experiences. LocationRemote, within the United States Why Join Us At Ateko you'll work on high-impact projects for some of the biggest names in tech, finance, and beyond. Our culture is collaborative and modern, and we're committed to helping you grow. Competitive salary, training and health coverage are all great. But it's the "extras" that really make our employees feel appreciated. Here's what sets us apart: Flexibility: Most of our team works remotely, and our culture and policies are designed to support work-life balance, no matter where you are. Professional Growth: Share your expertise on our blog or create videos, we'll help you build your professional profile. Work-Life Balance: Personal days are available and we encourage downtime to recharge. Peer Recognition: Celebrate wins with peer-nominated awards and performance bonuses. Diversity and Inclusion: We're proud to be a gender-balanced workplace with a near 50/50 split of male and female-identifying employees. Giving Back: As a Pledge 1% company, we dedicate time and resources to making a positive impact. What You'll DoAs a Marketing Cloud Solution Architect, you will serve as a strategic advisor, architecting and enhancing our clients' marketing technology infrastructure. You will collaborate with multidisciplinary teams to develop and execute solutions that facilitate seamless customer engagement across all touchpoints. The successful candidate will leverage deep technical knowledge to ensure the stability and effectiveness of our clients' marketing technology stack, while maintaining a broader understanding of the marketing technology landscape. As a Marketing Cloud Solution Architect, your role will involve: Designing and implementing marketing technology solutions that drive business value and innovative customer experiences Creating architecture deliverables including technical designs and solution architecture diagrams Leveraging APIs and integration technologies to connect systems and create seamless customer experiences Collaborating with clients to understand their needs and transform marketing operations into modern, data-driven organizations Communicating complex technical concepts to both technical and non-technical stakeholders, from C-suite executives to frontline staff What You Bring6+ years of experience delivering marketing technology solutions across various platforms Deep understanding of marketing technology platforms including CMS, DAM, CDP, MRM, MAPs, and Personalization Engines Strong expertise in Salesforce Marketing Cloud and familiarity with other marketing technology platforms Experience building world-class technical teams and supporting go-to-market solutions Proven track record in business development, including client relationships, RFP responses, and pitch decks Strong background in computer science/engineering or information management (preferred) Relevant industry experience in Consumer, Public Sector, and/or Financial Services Experience in a consulting environment and/or digital agency, with a demonstrated track record of continuing responsibilities, creativity, and innovation. Bilingual fluency in verbal and written French and English is a strong asset. Artificial intelligence may be used to screen, assess or select applicants PIe3e5470adc33-9211

Overview GlossGenius is building an ecosystem enabling entrepreneurs to succeed. We empower small business owners to focus on being creators, not admins, by offering a range of business management tools including booking and scheduling, marketing, analytics, payment processing and more. Over 90,000 small business owners rely on GlossGenius daily to run their entire operations. GlossGenius combines fintech, SMB software, and consumer experiences in one platform. About the Role We're building AI features that will transform how our customers operate and grow their businesses. We are seeking strong Software Engineers, All levels to join one of our Product or Platform-based teams. Product-focused engineers work at the intersection of business needs and technical solutions; Platform-focused engineers build scalable, reliable, and extensible systems that empower product teams to move faster, deliver with quality, and focus on customer value. This role is remote from the San Francisco Bay Area. What We Work With We're open to candidates with different programming languages and a desire to learn more. Our current stack: Kotlin (Micronaut, JOOQ), Ruby (Rails, Sidekiq), gRPC, Protobuf React Native AWS, Kubernetes, Postgres and Terraform What You'll Do As a Software Engineer at GlossGenius, you'll shape a platform powering over 90,000 small businesses and processing more than $3 billion in payments annually. You'll work on high-impact initiatives that support our growth and scale. Examples of responsibilities include: Develop, release, and run large-scale web applications that empower beauty and wellness businesses to operate and grow. Build new AI features for our customers. Develop and define our microservice-based infrastructure. Build tools and solutions that enable internal teams to work faster and with more confidence, improving the value delivered to users (Business Scalability team). Work on core experiences such as making payments friction-free for clients and customers, building tools to help customers earn more per hour, or enabling businesses to grow and manage their teams. Focus on front-end development, crafting intuitive experiences for web and mobile applications. Improve performance, reliability, scalability, and security for backend systems. What We're Looking For 2+ years of professional software development experience. Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. A strong desire to move fast and have a significant impact. An entrepreneurial mindset with ownership and willingness to contribute ideas to solve challenging problems. Ability to analyze and improve efficiency, scalability, and stability of system resources. Strong collaboration skills and team spirit. Benefits and Compensation The starting base salary for this role in San Francisco is between $150,000-$230,000 plus target equity and benefits. The base salary offered depends on factors including skills, experience, location, and education. The base pay range may be modified in the future. This role is eligible to participate in GlossGenius's equity plan as well as a range of health and wellbeing, retirement savings, and other benefits within our total rewards offering. GlossGenius is an equal opportunity and affirmative action employer. We celebrate differences and are committed to creating a workplace where all employees feel supported and empowered to do their best work.

Opto is engineering the future of private markets to improve client outcomes and drive capital to the most transformative ideas. The opportunity is huge. The global alternative investments industry was worth an estimated $16.8T at the end of 2023, and is forecast to grow to $29.2T by 2029. However the private investment process typically remains opaque, highly manual, and error-prone, which limits access to the select few insiders who are willing to bear the pain. Opto is a revolutionary end-to-end solution for wealth managers of any size-from small investment advisors to large multi-family offices to private banks-to build, fundraise for, and manage private markets programs at scale. We combine exceptional Silicon Valley engineering talent with experienced investors and industry specialists to fix this broken system through the power of technology. Our platform banishes the nightmare of slide decks, spreadsheets, and paperwork to the past, and arms our clients with the tools, data, and guidance to identify and access the right opportunities for their clients. Fixing private markets will not be easy and demands courage, but we're not afraid to do things differently. We are unapologetically bold. We value strong opinions, clear communication, and purposeful execution. Up for the challenge? Come join us. The Role Software Engineers at Opto are tasked with the challenge of turning complex business problems into elegant and pragmatic engineering solutions. We are context-driven, customer- and stakeholder-empathetic builders of tools and systems. We are end-to-end owners of engineering problems and solutions who constantly challenge one another to evolve as builders and collaborators. Oh, and we have fun along the way, because otherwise, what's the point? Check out our blog to learn more about our tech culture here. Our tech stack consists of a series of React-based Next.js TypeScript applications hosted in Vercel. Behind that a collection of Aurora-backed Python REST API services are hosted as containerized applications in AWS. We make use of AWS Lambda for asynchronous tasks and we rely on Snowflake for data ingestion and warehousing. Our service deployments are completely automated and execute multiple times daily. Our tech stack continues to evolve, driven by our shared principles of optimizing for modularity, scalability, and team-level service ownership. Be accountable for the delivery of high quality software projects in coordination with teammates and stakeholders on mutually agreed upon timelines Seek context and rapidly iterate on solutions to eliminate ambiguity and drive projects forward Participate actively in all phases of product development across specification, implementation, QA testing, deployment, and operations Foster a culture of collaboration by actively engaging in discussions, documentation, and code review Participate actively in engineering recruiting (interviewing, problem specification, role ownership, etc) Raise your hand when you need help - don't hesitate to reach out to stakeholders (product, teammates, managers, etc) to unblock your progress Qualifications 4-year technical degree (or equivalent work experience) 4+ years software development experience Experience using React to build feature-rich user interfaces Experience working with design systems and building styled, reusable components Experience with automated frontend testing patterns such as Jest / Playwright Demonstrated background / interest in investment management Comfort with ambiguity and the ability to execute in a fast-paced startup environment Excellent communication skills and grace under pressure Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time. How to Apply Please fill out the below fields, and attach a Resume and Cover Letter. Why a Cover Letter? We receive a high volume of applicants, and we have real humans that read each and every resume, we encourage you to use creativity in your Cover Letter and speak directly to why you want to join our team! We will review your resume in as timely a manner as we are able to, so kindly refrain from reaching out to hiring managers or other Opto team members via email or LinkedIn, as this won't improve or fast track your application. Compensation and Benefits Opto has a high bar for talent, and we are committed to building the best teams possible. Candidates are never subjected to discrimination based on race, citizenship, religion, ethnicity, gender or gender identity, sex, pregnancy, national origin, age, sensory, mental, or physical disability, or any other characteristic. The successful candidate for this role can expect a generous compensation and benefits package. The cash salary range for this role is $160,000-$240,000 dependent on skills, experience and expected contribution. All full time employees at Opto enjoy: Health, dental, and vision insurance Unlimited PTO Retirement savings plan (401k) Learning, Fitness, & Commuter stipends Paid Holidays This position is based primarily onsite in either our San Francisco or New York City offices. At this time, Opto can only hire candidates who reside in the following states: California, Colorado, Florida, Idaho, Illinois, Maine, Maryland, Nevada, New Jersey, New York, North Carolina, North Dakota, Pennsylvania, Rhode Island, Tennessee, Texas, Virginia, and Washington. If you do not currently live in one of these states, you must relocate to an approved state or have a confirmed address there prior to your start date.

Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Project Overview Supports customers by accelerating frontier research and applying expertise to transform AI from proof of concept into proprietary intelligence. What Does a Typical Day Look Like? Evaluate and refine AI-generated code to ensure it is efficient, scalable, and reliable. Collaborate with cross functional teams to enhance AI driven coding solutions against industry performance benchmarks. Build agents that can verify the quality of the code and identify error patterns. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them. Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills Several years of software engineering experience (+5 years), including 2+ years of continuous full time experience at a top tier product company (e.g., Google, Stripe, Amazon, Apple, Meta, Netflix, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research). Strong expertise in building full stack applications and deploying scalable, production grade software using modern languages and tools. Deep understanding of software architecture, design, development, debugging, and code quality/review assessment. Excellent oral and written communication skills for clear, structured evaluation rationales. Additional Details Commitment: Flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required). Type: Contractor (no medical/paid leave). Duration: 1 month (starting next week; potential extensions based on performance and fit). Location: Candidates must be based out of US, Canada or WEU countries (UK, Netherlands, Italy, Germany, ). Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at and earn money from your network.

Get to know Okta Okta is The World's Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth. At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we're looking for lifelong learners and people who can make us better with their unique experiences. Join our team! We're building a world where Identity belongs to you. The Auth0 Team Auth0 is an easy-to-implement authentication and authorization platform designed by developers for developers. We make access to applications safe, secure, and seamless for the more than 100 million daily logins around the world. Our modern approach to identity enables this Tier-O global service to deliver convenience, privacy, and security so customers can focus on innovation. This team focuses on providing tenant-level protections to our customers, at scale. From bot detection to brute-force to suspicious IP throttling and beyond, this team often provides the first line of defence for Auth0 customers. The Staff Software Engineer At Okta, we're building the next generation of authentication for the GenAI era. We're looking for a Staff Software Engineer to join the AI DevEx team at Auth0. This role is pivotal in extending and complementing our Auth for GenAI offering by building the infrastructure, tooling, and developer experiences that empower both human developers and AI agents to build secure, intelligent applications. Auth0 Emerging Tech is the Engineering organization where we take care of the hottest technology out there: we ship fast, we don't break things. We are a dynamic and collaborative distributed and diverse team. We value ownership, learning and innovation. This is an ideal role for an engineer who enjoys building for other engineers, working across stacks, and shaping the future of AI enablement in production systems. You'll collaborate across engineering, product, and security teams to drive meaningful improvements in developer tooling, agent authentication, orchestration frameworks, and real-world demos. What you will be doing: Design and Build Developer Tooling that helps developers secure and manage infrastructure like MCP servers Build Demo Applications that showcase secure, identity-powered AI use cases in real-world environments Contribute to Open Source Projects, both within Auth0 and across the broader AI + identity ecosystem Write and Maintain High-Quality Documentation including API references, quickstarts, and best practices for both developers and AI-native tooling (e.g., llm.txt) Drive Integration with Emerging AI Frameworks by creating adapters, utilities, and interfaces for agent runtimes and orchestration layers Collaborate with Design, Product, and Security teams to align on developer needs, roadmap direction, and compliance requirements Mentor and Support Other Engineers, setting strong examples in code quality, testing practices, and architectural thinking Influence Engineering Standards by leading design discussions and contributing to team-wide architectural decisions Ensure Resilience and Security of systems involved in agent-to-agent or model-to-service communication You Might Be a Good Fit If You Experience in software engineering with a proven track record in building tools, frameworks, or platforms for other developers Proficiency in JavaScript/TypeScript, Golang and/or Python, and the ability to move fluidly between front-end and back-end contexts Experience working with LLM APIs, agent runtimes, orchestration layers, or prompt pipelines Familiarity with authentication and authorization systems, especially standards like OAuth2, OIDC, and JWT Demonstrated experience leading architecture and design efforts for scalable, production-grade systems Comfort contributing to and maintaining open source projects and engaging with developer communities A passion for documentation as part of the developer experience - not just writing code, but making it understandable and usable Ability to thrive in highly collaborative environments with cross-functional stakeholders Technologies You May Work With Languages: JavaScript, TypeScript, Python Frameworks: React, Next.js, FastAPI AI Ecosystem: Model APIs, orchestration runtimes, prompt management systems, agent toolkits Auth0 Stack: Token Vault, Async Authorization, Fine-Grained Authorization (FGA) Remote Below is the annual base salary range for candidates located in California. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $188,000 - $282,000 USD. What you can look forward to as a Full-Time Okta employee! Amazing Benefits Making Social Impact Developing Talent and Fostering Connection + Community at Okta Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! Some roles may require travel to one of our office locations for in-person onboarding. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at

Vector Marketing is currently holding interviews for entry level sales rep positions. Our representatives sell Cutco products through one-on-one appointments that emphasize customer service. Experience is not necessary because our training is designed to help people do well immediately - as long as someone is willing to learn, they can be successful. We provide flexible schedules for anyone looking to make some extra income. Position Details Paid Weekly - Our reps are paid $25.00 base-appt, that is not based on sales results. A commission structure is available and is set up based on performance. There is an opportunity to make more, but there is still a fallback for the sales rep to make an income even if they have an off week. Solid training - We've been training people to do well for over 40 years. We teach our reps how to do well in this role before they start and offer continued support and additional training as time goes on. Even if someone doesn't decide to stay with us long term, the sales, networking & communication skills they build are needed for any field. Product - We work with Cutco products that are used in the home focusing on the kitchen and some gardening tools as well. Previous experience & knowledge about home goods or sales isn't needed. Flexible scheduling - We help our reps create a schedule that works best for them. Some work as much as possible, some work part time, some are looking for seasonal work, and others choose to earn extra income around other commitments such as classes, their full time jobs, internships, or family obligations. Location - Sales reps work from home and locally after training. Meetings and training are held in the office. Opportunity for Advancement - Reps can move into long term sales positions or become a manager (even if they only start out part time). Requirements Enjoy working with people. All ages eighteen plus or seventeen and a high school graduate. Conditions apply. Willing to learn and apply new skills. Who would do well in the position? People who have done well with us in the past have had experience in retail, fast food, cashier, administrative assistant, receptionist/office work, landscaping, and in just about any field you can imagine (some have had no experience at all!). We welcome all applicants who have a positive attitude and are willing to work hard and learn new things. This entry level sales position is a great opportunity for anyone looking for flexible work. If you think you would be a great fit for our sales team, fill out your contact information and a receptionist will text you about setting up a virtual interview with a manager. We find this is the easiest way to and fastest way to get a hold of applicants since everyone always have their cellphones on them. We encourage applicants of all ages and experience, as we do not discriminate on the basis of an applicant's age.

Astranis builds advanced satellites for high orbits, expanding humanity's reach into the solar system. Today, Astranis satellites provide dedicated, secure networks to highly sophisticated customers across the globe-large enterprises, sovereign governments, and the U.S. military. With five satellites on orbit and many more set to launch soon, the company is servicing a backlog of more than $1 billion of commercial contracts. Astranis is the preferred satellite communications partner for buyers with stringent requirements for uptime, data security, network visibility, and customization. Astranis has raised over $750 million from some of the world's best investors, from Andreessen Horowitz to Blackrock and Fidelity, and employs a team of 450 engineers and entrepreneurs. Astranis designs, builds, and operates its satellites out of its 153,000 sq. ft. headquarters in Northern California, USA. Senior Offensive Security Engineer As a Senior Offensive Security Engineer, you will lead penetration testing and adversarial simulation efforts targeting our applications, cloud infrastructure, and corporate networks. You will emulate real world attackers to identify weaknesses across the software and IT stack, and work closely with engineering and IT teams to improve our defenses. Your focus is offensive testing of application and enterprise systems. Role Perform penetration tests of web apps, APIs, backend services, cloud infrastructure, and corporate networks. Conduct threat emulation exercises, red team scenarios, and targeted attack simulations. Assess CI/CD pipelines, IAM configurations, and internal services for exploitable weaknesses. Lead offensive security initiatives and serve as the organization's primary expert for AppSec and enterprise pentesting. Security Research & Adversarial Analysis Track emerging threats, techniques, and vulnerabilities relevant to cloud and enterprise environments. Develop custom exploits or proof of concepts as needed to validate findings. Work with development, infrastructure, and IT teams to validate controls and guide effective remediation. Provide actionable risk assessments from an attacker's perspective. Contribute offensive insights to secure system design guidance. General Product Security Support (Secondary) Assist with code review and threat modeling for software components when offensive insights are needed. Requirements 5+ years of hands on offensive security experience (AppSec, cloud, or enterprise penetration testing). Demonstrated experience leading complex penetration tests for web apps, APIs, and cloud platforms. Strong proficiency in offensive tooling (Burp Suite, Nmap, Metasploit, proxy tools, etc.) and manual testing techniques. Familiarity with cloud native attack vectors (AWS, Azure, GCP). Strong analytical and problem solving skills with an attacker's mindset. Ability to explain complex technical vulnerabilities to a range of audiences. What we offer All positions include a compensation package that includes equity and robust benefits. Base pay is a single component of Astranis's total rewards package, which may also include equity in the form of incentive stock options, high quality company subsidized healthcare, disability and life insurance benefits, flexible PTO, 401(k) retirement, and free on site catered meals. Salary $160,000 - $240,000 USD Citizenship Requirements U.S. Citizenship, Lawful Permanent Residency, or Refugee/Asylee Status Required (To comply with U.S. Government space technology export regulations, applicant must be a U.S. citizen, lawful permanent resident of the United States, or other protected individual as defined by 8 U.S.C. 1324b(a)(3 . Equal Employment Opportunity As set forth in Astranis's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

People.ai is an AI-powered foundational data platform that helps customers unlock go-to-market success & growth by providing teams with solutions built specifically for their needs. Providing enhanced pipeline visibility, more actionable insights, and a single source of truth for all sales activities. People.ai's unique dataset, consisting of trillions of sales activities, millions of deals, 160 million business contacts, and 69 approved patents related to AI-based business insights, sets the company apart. Companies such as Verizon, Red Hat, and Palo Alto Networks rely on their enterprise-ready, patented AI technology. At People.ai, we believe that people enrich the world around them in countless ways. We believe that the more time they spend applying their creativity, resourcefulness, and critical thinking to activities that matter most in their professional life, the more effective a professional they become. Our team is a diverse, outspoken group of creatives and critical thinkers, hyper-focused on driving change and growth. We embrace "different". We applaud non-traditional career paths. We're inspired by people who have made processes their own. As a Senior Software Engineer on the XCore team, you will work on one of the most impactful projects at People.ai - Forecasting. You will be building and evolving a live product with active daily users, working closely with the business team and customers through discovery and exploration calls. You will have a direct impact on company revenue by defining and delivering features grounded in real customer feedback. Your work will directly influence how customers plan, forecast outcomes, and make critical business decisions. In addition, you will collaborate across Engineering and R&D teams to enhance core Admin Platform services such as authentication, users, settings, and configurations. You will leverage customer insights and data analysis to design and build high-performance, low-latency systems and APIs that scale efficiently while improving our operational costs. We value ownership highly - the ability to take an idea through all the stages from conception to shipping a product. This reflects throughout our company, but is especially true in engineering. As an engineer at People.ai, you'll be a part of a highly independent and autonomous team. Since we're building out a robust data layer that needs to be presented elegantly to the end-user, you'll be working with a large array of different technologies and fields. Expect lots of interesting challenges. Responsibilities: Take ownership of projects. From requirements gathering, through design, implementation and testing, to monitoring and maintenance throughout the tech stack. Collaborate within the team, with other engineering teams and cross-functionally to enhance our users' experience. Follow software design and development best practices and promote such practices in the team. Document design choices and operational knowledge to successfully deploy and run services. Ensure code accuracy and efficiency with appropriate test coverage, integration testing and load testing. Ensure robust alerting, dashboards, and runbooks for production services are in place. Requirements: 7+ years of professional experience working on backend systems in an enterprise environment 2+ years experience programming in Python 2.x/3.x or Scala or Java Experience with SOA, microservices, and event-driven architecture Experience with an enterprise-grade stack for scalable web apps, including messaging brokers, in-memory storage, and key-value databases Strong knowledge of TDD, Unit, and automated test paradigms Experience with SQL and RDBMS solutions Experience with containerized applications, Docker, and Kubernetes Possess a DevOps mindset, AWS experience is a plus Experience with LLMs is a plus Experience with large-scale data processing (Spark) is a plus Bachelor's Degree in Computer Science, Computer Engineering, or in a closely related discipline Headquartered in San Francisco, CA, People.ai is backed by Y Combinator and Silicon Valley's top investors, including ICONIQ Capital, Andreessen Horowitz, Lightspeed Venture Partners, Akkadian Ventures, and Mubadala Capital. People.ai is listed in the top 20 percent of Inc 5000 companies, is a regular leader in our key categories on G2, and is on the Forbes list of America's Best Startup Employers. For more information, please visit .

Base pay range $140,000.00/yr - $240,000.00/yr Until is a moonshot company building a "pause button" for biology. Our near term focus is organ scale reversible cryopreservation: preserving donated organs at subzero temperatures without ice formation, then rewarming them uniformly for transplant. By solving this grand challenge, we're laying the foundation for whole body reversible cryopreservation, giving patients a bridge to future cures. To achieve our goal, we are assembling an interdisciplinary team to develop perfusion systems, cryoprotectant formulations, and vitrification and rewarming hardware. We are also building out our medical hibernation team to tackle the challenges of whole body cryopreservation, beginning with rodent models. We envision a future where no transplantable organ is lost to logistics, and no terminal diagnosis is final because patients can safely wait for future medicine to arrive. About The Role As a Machine Learning Engineer / Scientist at Until, you will be an early member of the computational team defining how experimental data becomes insight and drives the next round of scientific discovery. You'll build high leverage ML systems that help develop new cryoprotectant formulations, engineer biologically inspired antifreeze proteins, and understand the physics of vitrification and rewarming. You will own projects end to end, including shaping data collection and designing data pipelines, training and evaluating models, and deploying tooling that scientists use daily. About You Degree in Computer Science or a related field (Applied Mathematics, Statistics, Data Science, Computational Biology) Excellent foundations in the mathematics that underlies machine learning, including linear algebra, probability, statistics, and calculus. Strong experience in modern machine learning approaches, such as representation learning, generative modeling, active learning, and Bayesian optimization. Track record of developing ML approaches for scientific discovery, as evidenced by a strong publication record, substantial open source contributions, or deployment of a machine learning system in an industry role. Demonstrated ability to write modular, maintainable, and performant code in Python. Fluency with the Python data science and ML stack, including PyTorch, NumPy, SciPy, Pandas/Polars, Matplotlib/Plotly. Proficient with developer tooling, including Linux command line, Git, and shell scripting. Ability to think from first principles and tackle complex, cross disciplinary problems with other scientists and engineers. Preferred Qualifications 3+ years of relevant professional or research experience, or a PhD in a computational field. Strong understanding of computer science fundamentals, including algorithms, operating systems, and concurrency. Experience with cloud infrastructure (AWS, GCP) and SQL databases. Benefits Opportunity for outsized impact creating the future as an early team member. Generous medical, dental and vision insurance coverage. Flexible time off and paid holidays. Competitive compensation package, including salary and equity. 401(k) retirement savings plan. FSA and commuter benefits. Subsidized lunch daily. As an equal opportunity employer, Until is committed to providing employment opportunities to all individuals. All applicants for positions at Until will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law. 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. While this represents our expected range based on market data, final compensation will be determined based on your specific qualifications and may be outside this range. Please keep in mind that the equity portion of the offer is not included in this estimate.

Overview Turing is one of the world's fastest-growing AI companies, pushing the boundaries of AI-assisted software development. Our mission is to empower the next generation of AI systems to reason about and work with real-world software repositories. You'll be working at the intersection of software engineering, open-source ecosystems, and frontier AI. Project Overview We're building high-quality evaluation and training datasets to improve how Large Language Models (LLMs) interact with realistic software engineering tasks. You will have the opportunity to work on a diverse range of projects, from helping models traverse complex code bases to building agents that improve model performance. What Does a Typical Day Look Like? Work across multiple different projects to improve LLM performance on code: sample projects Lead and deliver end-to-end agent use cases such as home automation agents, coding copilots, or creative design assistants Collaborate with the team to identify edge cases and ambiguities in model behavior Review and compare 3-4 model-generated code responses per task using a structured ranking system Evaluate code diffs for correctness, code quality, style, and efficiency. Provide clear, detailed rationales explaining the reasoning behind each ranking decision Required Skills Several years of software engineering experience, including 2+ years of continuous full-time experience at a top-tier product company (e.g., Google, Stripe, Amazon, Apple, Meta, Netflix, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research) Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools Deep understanding of software architecture, design, development, debugging, and code quality/review assessment Proven ability to review code diffs and evaluate correctness, maintainability, and efficiency Excellent oral and written communication skills for clear, structured evaluation rationales Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required) Type: Contractor (no medical/paid leave) Duration: 1 month (starting next week; potential extensions based on performance and fit) Rates: $50-$150/hour, based on experience and skill level Job Details Seniority level: Mid-Senior level Employment type: Contract Job function: Information Technology and Engineering Industries: Software Development Note: Referrals increase your chances of interviewing at Turing.

1 day ago Be among the first 25 applicants Turing is one of the world's fastest-growing AI companies, pushing the boundaries of AI-assisted software development. Our mission is to empower the next generation of AI systems to reason about and work with real-world software repositories. You'll be working at the intersection of software engineering, open-source ecosystems, and frontier AI. Overview Project Overview We're building high-quality evaluation and training datasets to improve how Large Language Models (LLMs) interact with realistic software engineering tasks. You will have the opportunity to work on a diverse range of projects, from helping models traverse complex code bases to building agents that improve model performance. What Does a Typical Day Look Like? Work across multiple different projects to improve LLM performance on code: sample projects Leading and delivering end-to-end agent use cases such as home automation agents, coding copilots, or creative design assistants. Collaborate with the team to identify edge cases and ambiguities in model behavior. Review and compare 3-4 model-generated code responses per task using a structured ranking system. Evaluate code diffs for correctness, code quality, style, and efficiency. Provide clear, detailed rationales explaining the reasoning behind each ranking decision. Required Skills Several years of software engineering experience, including 2+ years of continuous full-time experience at a top-tier product company (e.g., Google, Stripe, Amazon, Apple, Meta, Netflix, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research). Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools. Deep understanding of software architecture, design, development, debugging, and code quality/review assessment. Proven ability to review code diffs and evaluate correctness, maintainability, and efficiency. Excellent oral and written communication skills for clear, structured evaluation rationales. Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required) Type: Contractor (no medical/paid leave) Duration: 1 month (starting next week; potential extensions based on performance and fit) Rates: $50-$150/hour, based on experience and skill level. Seniority level Mid-Senior level Employment type Contract Job function Information Technology and Engineering Software Development We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Headquarters: San Francisco URL: We are looking for a Software Engineer who wants to be an impactful part of a small team looking to change the way technical hiring is done. In this role, you will be an integral part of our Product Engineering team and will drive features with immediate business impact to our core products: Assessments, Interviews, and Learn. You'll be a key member of the team that builds and maintains our identity and authentication systems, tying all of our products together. To learn more about the kinds of projects we work on, check out our Engineering blog! Some noteworthy projects include: Why we moved from MongoDB & Meteor observers to Redis What we learned when 10,000 users hit our platform at once How to avoid issues with your HTML email formatting Day-to-Day Contribute to building product features across the full stack (from the front-end to the back-end to separate microservices) Develop clean and maintainable code, with an emphasis on quality and craftsmanship Conduct code reviews and collaborate with your peers Lead technical design discussions on features where you're able to lend your expertise Basic Qualifications At least 4 years of professional, full-time software engineering experience Clear and effective communication skills Drive and initiative for getting things done Experience with TypeScript/JavaScript (browser, Node, or both) Available to work full-time. Candidates must be based within GMT-GMT+6 timezones. Bonus Points for the Following Experience with any part of our stack: React Node MongoDB GraphQL Experience with SSO, SCIM or RBAC. Any experience in a related industry, including assessments, HR tech, or education. To apply:

Technical Requirements: Strong experience in Full Stack development with a primary focus on backend engineering Proficiency in Java and Google Cloud Platform (GCP) is mandatory Hands-on experience with Vertex AI and Agentic AI Exposure to Capacitor and other mobile frameworks is a plus Proven ability to take end-to-end ownership of the Full Development Engineering (FDE) lifecycle, including development, QA, and delivery responsibilities Key Competencies: Strong problem-solving and analytical skills. Ability to work independently and take end-to-end ownership. Excellent communication and collaboration skills. Detail-oriented with a focus on quality and delivery.

Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Project Overview What Does a Typical Day Look Like? Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable. Collaborate with cross functional teams to enhance AI driven coding solutions against industry performance benchmarks. Build agents that can verify the quality of the code and identify error patterns. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them. Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills Several years of software engineering experience (+5 years), including 2+ years of continuous full time experience at a top tier product company (e.g., Google, Stripe, Amazon, Apple, Meta, Netflix, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research). Strong expertise in building full stack applications and deploying scalable, production grade software using modern languages and tools. Deep understanding of software architecture, design, development, debugging, and code quality/review assessment. Excellent oral and written communication skills for clear, structured evaluation rationales. Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required) Type: Contractor (no medical/paid leave) Duration: 1 month (starting next week; potential extensions based on performance and fit) Location: Candidates must be based out of US, Canada or WEU countries (UK, Netherlands, Italy, Germany, ) Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at and earn money from your network.

Get AI-powered advice on this job and more exclusive features. This range is provided by TogetherWeTech. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more. Base pay range $175,000.00/yr - $220,000.00/yr Direct message the job poster from TogetherWeTech Senior Fullstack Engineer - SF Bay area (Hybrid/ 2- 3 days onsite) Up to $180K - $230K + Equity TogetherWeTech is hiring a Senior Fullstack Engineer who thrives at the intersection of product, engineering, and experimentation. You'll have the opportunity to actively shape technical solutions, influence product direction, and contribute meaningfully to all aspects of our engineering culture. The company was founded by a diverse group of creative technologists from teams like Google Creative Lab, and Samsung's innovation Think Tank Team. We're redefining Enterprise AI Agents (Robotic Process Automation) and Intelligent Document Processing (IDP), developing the necessary tooling and infrastructure to incorporate the advancements of AI into practical, real-world applications. What you'll do: Collaborate with our forward deploy team to understand how customers interact with the company's platform today, and use those learnings to bolster our flagship workflow management product. Build interfaces that use cutting edge computer use models in real world applications. Develop beautiful and intuitive UX interfaces which abstract away complex business automation processes and create a seamless experience for non technical users and engineers alike. Influence our engineering practices, shape product direction, and contribute to building a world class company culture. Your toolbox: Hacker mindset - you know when to ship out functional v0 by any means necessary Experience building with modern web frameworks (Next.js, Svelte kit, React) and extensive experience working with REST APIs Robust background building complex architectures from the ground up, ranging from hacked together prototypes to scalable enterprise solutions. To be considered, one of following conditions needs to be ticked Joined a startup company early and seen scale. Previously worked or currently working at a FAANG company Serial Founder/Co founder If you are a passionate and an experienced Senior Fullstack Engineer looking to make a difference in a fast paced and innovative environment, we would love to hear from you! Seniority level Mid Senior level Employment type Full time Job function Staffing and Recruiting Inferred from the description for this job Medical insurance Vision insurance Paid paternity leave Paid maternity leave

Contra is building the world's first professional network for independent creatives and the companies that hire them. We are commission-free, global, and focused on enabling the future of flexible work. Alongside our network and marketplace, we're launching new product lines including Contra for Companies, Contra Ads Network, and Creative RLHF & Evaluation Services for AI labs and creative tool companies. We've raised over $51M from leading investors like NEA, Unusual Ventures, and Cowboy Ventures-and we're just getting started. What you'll do: Build end-to-end features in our TypeScript, GraphQL, React monorepo, including AI capabilities (LLMs, embeddings, vector search, evals) Ship polished AI-driven user experiences that delight users Contribute to test suite, RFC process, code reviews, and cross functional product development Maintain code quality, eliminate technical debt, and improve performance What you need: Strong understanding of modern LLM systems, products and workflows Experience building performant, scalable systems with TypeScript, React, GraphQL Excellence in independent problem solving with high standards for quality Ability to thrive in fast paced, remote environment with strong communication skills Our Stack: Frontend: React, Relay, PandaCSS Data: Airbyte, dbt, Google BigQuery Testing: Playwright, Vitest AI: OpenAI, Cursor, Supermaven, CodeRabbit (for code reviews - it's actually great!) Total Comp: Home Office Budget We will provide you with a company laptop on your start date Interview Process Intro Call with Recruiting Team ( minutes) Interview with CTO & Co Founder (30 minutes) Technical Interview with Engineering Manager (60 minutes) Culture & Cross Functional Interview (40 minutes) Interview with CEO & Co Founder (30 minutes) Note: Contra communicates with applicants domains only. We never ask for money from potential employees. For the latest job postings, visit .

About Glean Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry's most advanced enterprise search has evolved into a full scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context aware responses for every employee. This foundation powers Glean's agentic capabilities - AI agents that automate real work across teams by accessing the industry's broadest range of data: enterprise and world, structured and unstructured, historical and real time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World's Most Innovative Companies (Top 10, 2025), by CNBC's Disruptor 50, Bloomberg's AI Startups to Watch (2026), Forbes AI 50, and Gartner's Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50 industries and 1,000 employees in more than 25 countries, we're helping the world's largest organizations make every employee AI fluent, and turning the superintelligent enterprise from concept into reality. If you're excited to shape how the world works, you'll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You'll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company. About the Role Glean is seeking an Infrastructure Engineer to build and evolve the platform that powers a highly available, performant, secure and cost effective infrastructure across all clouds. You'll deliver complex components with elegant automation, robust uptime guarantees, autoscaling, and reliable alerting/monitoring for infrastructure that runs across multiple cloud providers. As part of the Platform team, you'll be responsible for critical pieces of Glean's infrastructure, working closely with several other teams to support their workloads. You Will Oversee the entirety of your greenfield features from inception to implementation, experimentation, launch and beyond Provide leadership and mentor more junior engineers Work with designers, product managers, data scientists, and other engineers to understand our problem space and create elegant solutions Write robust code that's efficient, easy to read, maintain and test About You Bachelor's degree (or equivalent) in Computer Science or related field 3 years of experience in a role working with AWS and/or GCP IaaS services eg. compute, object storage, iam, networking, vpc. Experience with Terraform, K8s (GKE/EKS), Data Pipelines (Beam/Flink/Kafka/PubSub/SQS), ML Pipelines, Object Storage (S3/GCS), Big Query, etc. is a plus. Experience managing large scale cloud infrastructure with IaC. Highly proficient with modern Unix/Linux operating systems/distributions Experience defining SLOs/SLIs and implementing monitoring, alerting, and runbooks. Adaptable. Goals can change fast. You anticipate and react quickly. Autonomous. You own what you work on. You move fast and get things done. Excellent communication. You will need to communicate complex ideas effectively to both technical and non technical audiences, and both verbally and in writing. Collaborative. You must work collaboratively in a cross functional team and with people at all levels in an organization. Location This role is hybrid (3 4 days a week in one of our SF Bay Area offices) Compensation & Benefits The standard base salary range for this position is $140,000 - $265,000 annually. Compensation offered will be determined by factors such as location, level, job related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. Benefits We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time off policy, and the opportunity to contribute to your 401k plan to support your long term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipend to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. Diversity & Inclusion We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.