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Location: Remote Workplace: remote 🌎 About Us TeamSnap is made up of innovators, technologists, builders, and problem-solvers shaping the future of youth sports. We’ve been setting the standard in youth sports technology since we were founded in 2009.  We hire for big ideas and tiny egos — which is part of how we landed on Outside Magazine's Best Places to Work, Built In's 100 Best Remote-First Places to Work and, for several years running, Sports Business Journal’s Best Places to Work in Sports.   TeamSnap is looking for a Senior Product Designer who will craft experiences that connect parents, coaches and players to make youth sports more fun. You will partner closely with product and engineer partners to drive features from discovery through execution. You’ll play a key role in establishing consistency, ease of use and innovation across TeamSnap consumer experiences. What You'll Do: Design high-impact, consistent, and intuitive user experiences across platforms, considering market trends, customer feedback, and quantitative data. Conduct user research and leverage insights to define product requirements, using sketches, wireframes, and prototypes to guide the ideation process. Use a data-driven approach to tie design decisions to user research while balancing business goals and technical constraints. Partner closely with product managers and engineers to refine requirements, validate designs, and iterate based on feedback. Manage multiple priorities in a fast-paced environment, maintaining a sense of urgency while delivering high-quality designs. Shape, improve, and maintain the TeamSnap design system. Partner with marketing designers to ensure brand consistency across all digital products. What Will Set You Up for Success: 4+ years of experience as a product designer or a similar role, building digital products with increasing responsibility. Degree in design, human-computer interaction (HCI), or equivalent. Experience in web and app development. Bonus points if you have experience with both B2B and B2C software. An online portfolio that demonstrates the ability to turn high-level ideas and vision into a strong and unique UX and creative solutions with the success metrics to prove it. Expertise in using Figma and prototyping tools. Experience working in tight collaboration and influencing product, engineering, and marketing teams, with the ability to synthesize feedback and input from peers and stakeholders. Demonstrated ability to understand and discuss technical concepts and cost/benefit tradeoffs of different design solutions. Got cold feet? If you’re thinking you don’t meet 100% of the above qualifications, you should still seriously consider applying. We’re all humans with special talents that go beyond what’s listed here.   Compensation We’re committed to equitable compensation for all TeamSnappers. The minimum starting point for this role is $145,000, inclusive of base and bonus, with comp updated based on multiple factors. Our comp is highly competitive in our space and we adjust overall comp based on relevant experience, skills, certifications, and geographic location.    🖥 Location TeamSnap is a fully remote company, so you'll need to be comfortable working with people in other time zones. We're always expanding, but we can't currently hire in Alabama, Alaska, Delaware, District of Columbia, Hawaii, Iowa, Louisiana, Mississippi, Nebraska, New Mexico, Rhode Island, South Dakota, West Virginia, or Utah. We can only hire permanent US residents at this time. 🚀 Opportunities to Grow We work hard on a culture built on trust, accountability, and inclusion — one where you can take on more, make a lasting impact, and have some fun doing it. 🎩 Total Rewards Remote-first since 2009 Flexible PTO and parental leave 100% premium coverage of medical, dental, and vision for you and your family 401(k) to invest in your future $1,500 annual learning and development reimbursement Travel to all-company meetings and team events Generous home office allowance TeamSnap swag when you start, plus a $50 store credit on every work anniversary Monthly health and wellness reimbursement, and more TeamSnap Total Rewards 🏆  Award-winning Culture At TeamSnap, you're not a culture fit – you're a culture add. Read our Culture Playbook to see how we play, what we ask of each other, and what drives us. 🧡 Inclusion and Diversity Creativity and innovation don't come from cookie-cutter teams. We hold ourselves accountable for building a culture where everyone is valued. Need any accommodations during the interview process? Just ask. We are an Equal Employment Opportunity Employer. AI Notice We may use AI tools to support parts of the hiring process, such as reviewing applications and resumes or assessing responses. These tools assist our recruitment team; they don't replace human judgment, and final hiring decisions are made by people. Contact us if you'd like more information about how your data is processed.

Location: Cedar Rapids, IA; Council Bluffs, IA; Dallas, TX; Des Moines, IA; Fort Worth, TX; Grand Island, NE; Joplin, MO; Kansas City, MO; La Vista, NE; Lincoln, NE; North Kansas City, MO; Oklahoma City, OK; Omaha, NE; Overland Park, KS; Phoenix, AZ; Springfield, MO; St. Louis, MO; Tulsa, OK Company Description We are Olsson. We engineer and design solutions that improve the world around us. As a company, we promise to always be responsive, transparent, and focused on results – for our people, our clients, and our company. We’re a people-centric firm, so it’s no surprise our greatest asset is our people. The impact this creates is an environment that encourages our people to grow and be creative with their talents. This approach builds a culture that is uniquely Olsson. It allows us to grow our people as we grow our business. This, in turn, creates a lasting impact on the world around us. Job Description Join our team for a unique opportunity working directly with one of the world's largest technology companies. As a BIM Coordinator, you will collaborate with our BIM team to maintain accurate Revit and CAD files, being the site-level contact for BIM content review, approval, management, and maintenance. Your responsibilities include playing a crucial part in coordinating the delivery and maintaining CAD/BIM content for data center projects, utilizing professional tools and processes to ensure accuracy and compliance. This role will require the ability to multitask and work well with our team and a variety of people. As a BIM Coordinator, you will also provide support to the CAD/BIM team during various project milestones and in a variety of ways based on current demand. You will lead closeout efforts, coordinate with stakeholders, perform model health checks, incorporate retrofit projects into existing models, and perform general model maintenance / drafting. Qualifications You are passionate about: Working collaboratively with others. Having ownership in the work you do. Using your talents to positively affect communities. You bring to the team: Ability to contribute and work well on a team Flexibility and desire to perform various tasks as needs change Excellent written and verbal communication skills and interpersonal skills Proficiency in Autodesk Revit, AutoCAD, Navisworks, and other relevant software tools Proven experience in BIM management and drafting Excellent project management skills, with the ability to prioritize tasks, manage deadlines, and work well within a team Detail-oriented mindset with a focus on delivering high-quality work and continuous improvement #LI-DD1 Additional Information Olsson specializes in engineering and design, client advisory services, planning, field services, and environmental. Improving the world has been our mindset from the very beginning, back when Olsson first opened for business in 1956. And it will be our mindset for years to come. As an Olsson employee, you will: Receive a competitive 401(k) match Be empowered to build your career with tailored development paths Have the possibility for flexible work arrangements Engage in work that has a positive impact on communities Participate in a wellness program promoting balanced lifestyles In addition, full-time employees will receive our traditional benefits package (health care, vision, dental, paid time off, etc.) and the opportunity to participate in a bonus system that rewards performance. Olsson is an Equal Opportunity Employer. We encourage qualified minority, female, veteran, and disabled candidates to apply and be considered for open positions. We do not discriminate against any applicant for employment or any employee because of race, color, religion, national origin, sex, sexual orientation, gender identity, gender, disability, age, military status, or other protected status. Olsson understands the importance of privacy and is committed to protecting job applicants’ personal information. Pursuant to the California Consumer Privacy Act, as amended by the California Privacy Rights Act (collectively, the “CCPA”), this notice explains Olsson’s practices regarding the collection, use, and disclosure of personal information for job applicants residing in California. Please read this Notice carefully to understand our privacy practices. For more information about the types of information we collect and how we use it in connection with your general access and use of our website, please review our general California Privacy Notice here .

Location: New York, United States; United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About Tavily We're building the search engine for AI agents. Our API powers agentic applications and real-time reasoning by connecting LLMs to high-quality, trustworthy web content. We work with some of the most innovative teams in AI — from startups shaping the ecosystem to enterprises deploying AI at scale. The Team Forward Deployed Engineering owns how Tavily shows up technically in the field. The team sits at the intersection of customers, Product, Engineering, Sales, Partnerships, and Customer Success. The Enterprise FDE motion focuses on Tavily’s highest-value customers and strategic enterprise opportunities — from technical discovery and solution design through proof of concept, production rollout, adoption, and expansion. The role This is a full-time, on-site role based in our New York office. As a Forward Deployed Engineer, Enterprise, you’ll work directly with Tavily’s largest and most strategic customers to design, prototype, and deploy production-grade AI systems powered by Tavily’s API. You’ll own the technical relationship across the customer lifecycle, helping enterprise teams move from early use case exploration to deployed, scalable agentic applications. You’ll be deeply hands-on: building RAG pipelines, agent workflows, evaluation loops, reference architectures, and custom integrations alongside customer teams. You’ll also serve as a critical bridge between the field and our Product and Engineering teams, translating enterprise needs into roadmap signal. Your responsibilities will include: Work directly with enterprise customers to understand their AI use cases, technical architecture, success criteria, and deployment requirements. Lead technical discovery and solution design during pre-sales and expansion conversations. Scope, build, and deliver proofs of concept that demonstrate clear business and technical value. Design and implement production-ready integrations using Tavily’s API, including RAG pipelines, agent workflows, internal tools, and industry-specific GenAI applications. Partner with customer engineering, data, product, and AI teams to move use cases from prototype to production. Monitor customer API usage patterns and recommend improvements to increase reliability, latency, coverage, and overall value. Translate recurring customer needs, blockers, and technical patterns into clear product and roadmap input. Create reusable enterprise assets, including reference architectures, integration templates, deployment guides, demo environments, and technical documentation. Represent Tavily in customer architecture reviews, executive technical conversations, implementation check-ins, and post-deployment reviews. Partner closely with Sales, Customer Success, Product, and Engineering to drive adoption, retention, and expansion across strategic accounts. We expect you to have: 5+ years of software engineering experience, ideally in a customer-facing technical role such as Forward Deployed Engineer, Solutions Architect, Solutions Engineer, Sales Engineer, or Technical Consultant. Strong hands-on engineering ability, especially with Python, APIs, backend systems, and production software development. Experience building with LLMs, Retrieval-Augmented Generation, agent architectures, context engineering, and modern AI application stacks. Experience working with enterprise customers, including technical discovery, POCs, solution design, stakeholder management, and production rollout. Strong understanding of how enterprises evaluate, deploy, secure, and scale AI systems. Ability to communicate clearly with both technical and executive stakeholders, including engineering leaders, product teams, AI teams, and technical decision-makers. High autonomy, strong ownership, and comfort operating in a fast-moving startup environment. Excellent written and verbal communication skills, with the ability to turn complex technical concepts into clear recommendations. Based in New York City, or willing to relocate. It will be an added bonus if you have: Experience working with major agent or LLM orchestration frameworks such as LangChain, LlamaIndex, LangGraph, OpenAI Agents SDK, or CrewAI. Experience with vector databases such as Pinecone, Weaviate, pgvector, Qdrant, or similar systems. Experience with enterprise AI use cases in financial services, legal, consulting, enterprise SaaS, sales, marketing, or internal knowledge management. Track record helping large customers move from POC to production. Experience building internal tools, technical playbooks, demos, or reusable customer-facing assets. Prior experience at a high-growth AI infrastructure, developer tools, or enterprise SaaS company. Compensation We offer competitive compensation packages. The actual compensation offered within the listed range will be determined based on job-related factors, including experience, skills, qualifications, and the level at which the candidate is hired, consistent with applicable law. #LI-BH3 Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $179,500 — $224,300 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Seattle, WA ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE TEAM The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform. ABOUT THE ROLE The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world. WHAT YOU’LL DO - Co-architect and co-build production AI agents with customer engineering teams - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows - Advise customers post-sale on architecture, best practices, and roadmap-level decisions - Run technical demos, trainings, and workshops for developer audiences - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers - Occasionally contribute code upstream when it meaningfully improves customer outcomes WHAT YOU’LL BRING - 5+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up - Strong Python, JavaScript and systems fundamentals - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations - Can explain technical tradeoffs clearly and build trust with developer audiences - Take responsibility for outcomes, not just recommendations - Have a bias toward action and enjoy figuring things out as you go - Are excited about operating AI agents in production, not just building demos NICE TO HAVE’S: - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks - Worked with LLM evaluation, observability, or guardrails - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts - Have shipped and operated production software and are comfortable owning systems under real-world constraints COMPENSATION Annual OTE range: $165,000–$380,000 USD Looking for a hands-on implementation role focused on custom delivery, bespoke integrations, and scoped consulting projects? Please check out the Deployed Engineer (Professional Services) roles. COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Arizona - Remote; Arkansas - Remote; Colorado - Remote; Dallas, TX; Denver, CO; Fayetteville, AR; Fort Worth, TX; Joplin, MO; Kansas - Remote; Kansas City, MO; Little Rock, AR; Missouri - Remote; Nebraska - Remote; North Kansas City, MO; Omaha, NE; Phoenix, AZ; Springfield, MO; Texas - Remote Company Description We are Olsson. We engineer and design solutions that improve the world around us. As a company, we promise to always be responsive, transparent, and focused on results – for our people, our clients, and our company. We’re a people-centric firm, so it’s no surprise our greatest asset is our people. The impact this creates is an environment that encourages our people to grow and be creative with their talents. This approach builds a culture that is uniquely Olsson. It allows us to grow our people as we grow our business. This, in turn, creates a lasting impact on the world around us. Job Description Imagine being part of a team that supports the backbone of the electric grid. As a Structural Engineer – Substation, you will play a critical role in the planning, design, and delivery of substation infrastructure across Olsson’s Transmission and Substation team. In this role, you will lead the structural design of substation foundations, steel structures, and equipment supports, contributing to projects that strengthen and modernize power delivery systems. You will collaborate closely with electrical engineers, designers, and project managers throughout all phases of project delivery. This position is ideal for a structural engineer who enjoys technically challenging work, mentoring others, and contributing meaningfully to essential infrastructure projects. Key Responsibilities: Structural Design & Analysis: Perform and lead structural design for substation facilities, including foundations, steel structures, equipment supports, and miscellaneous structural components. Project Delivery: Support projects through all phases including conceptual design, detailed engineering, permitting support, and construction administration. Coordination & Collaboration: Work closely with electrical engineers, designers, and other disciplines to ensure coordinated, constructible designs. Technical Leadership: Provide technical guidance and review of designs prepared by junior engineers and designers. Client & Field Interaction: Participate in client meetings, respond to contractor RFIs, and provide construction support as needed, including limited travel to project sites. Qualifications You are passionate about: Working collaboratively with others. Having ownership in the work you do. Using your talents to positively affect communities. You bring to the team: Bachelor’s degree in Structural Engineering or Civil Engineering (structural emphasis). 6+ years of progressive structural engineering experience, preferably including substation or industrial facilities. Experience designing concrete foundations and structural steel systems. Working knowledge of relevant codes and standards (ACI, AISC, IBC, ASCE). Strong communication, organizational, and problem‑solving skills. Professional Engineer (PE) licensure preferred or ability to obtain within a reasonable timeframe. #LI-DD1 Additional Information Olsson specializes in engineering and design, client advisory services, planning, field services, and environmental. Improving the world has been our mindset from the very beginning, back when Olsson first opened for business in 1956. And it will be our mindset for years to come. As an Olsson employee, you will: Receive a competitive 401(k) match Be empowered to build your career with tailored development paths Have the possibility for flexible work arrangements Engage in work that has a positive impact on communities Participate in a wellness program promoting balanced lifestyles In addition, full-time employees will receive our traditional benefits package (health care, vision, dental, paid time off, etc.) and the opportunity to participate in a bonus system that rewards performance. Olsson is an Equal Opportunity Employer. We encourage qualified minority, female, veteran, and disabled candidates to apply and be considered for open positions. We do not discriminate against any applicant for employment or any employee because of race, color, religion, national origin, sex, sexual orientation, gender identity, gender, disability, age, military status, or other protected status. Olsson understands the importance of privacy and is committed to protecting job applicants’ personal information. Pursuant to the California Consumer Privacy Act, as amended by the California Privacy Rights Act (collectively, the “CCPA”), this notice explains Olsson’s practices regarding the collection, use, and disclosure of personal information for job applicants residing in California. Please read this Notice carefully to understand our privacy practices. For more information about the types of information we collect and how we use it in connection with your general access and use of our website, please review our general California Privacy Notice here .

Location: Daytona Beach, FL Position Summary: Seeking a driven and motivated engineer to join our sales team focusing on growing business with existing customers and developing new business. This position will involve applications engineering, sales support and field service work. Sales Engineers should be comfortable working in a result-driven, fast-paced environment. Position will involve extensive formalized training plus work under a mentor, developing skills and gaining an understanding of CaptiveAire products, how we go to market, application engineering processes etc. as well as business development and sales strategies. Why Work for CaptiveAire ? N ation’s leading manufacturer of commercial kitchen ventilation systems, and now offering a complete solution of fans, heaters, ductwork and HVAC equipment.  Our primary purpose is to provide fully integrated, sustainable HVAC Systems. Leader in the industry for over 40 years with innovative technologies, unmatched service, competitive pricing, and rapid lead times. Mission: to provide the highest quality products and service to our users at the lowest possible pric e Strong commitment to the development of our employees, including continuous education opportunities like sponsorship for P rofessional E ngineering license and continuous education through weekly webinars and company developed technical videos What our employees have to say: There is never a day you don’t learn something new a t CaptiveAi re . I am able to learn something new due to the freedom to take on new tasks independently and problem solv e. I love the mindset of continuous learning and pushing the bounds of your capabilities and knowledge. I love the people I work with and the in-office work environment.I love how Captiveaire is all about connections, with customers, coworkers, end users, and everyone in between. One of the things I appreciate most about CaptiveAire is how strongly it embodies the entrepreneurial spirit. I’m empowered with the autonomy to manage my work independently, while also benefiting from the robust support and resources of a large, well-established company . CaptiveAire is fast-moving and no- nonsense. We operate differently than any other company that I've worked for with our decentralized structure. Quick action is taken when a good idea is presented. We are focused on end users where the rest of the industry is very short-sighted. We are on the front lines, actively changing the landscape of the HVAC industry. Learn more about CaptiveAire and our products here A Day in the Life: A technical sales role encompasses a wide variety of tasks where one day does not look exactly like the next. The projects our team handle s are high in volume and unique from one another, spanning throughout the whole course of design, procurement, coordination, and post-sale support. Typical tasks include: Outside sales meetings and calls to build relationships with existing and new customers Application engineering to apply our products using sound engineering principles Project management of installations in progress - M anaging schedules/plans to guarantee we can get equipment on site when the site needs it, in turn creating satisfied and returning customers. Service and technical support of existing equipment Supporting end users to maintain high levels of customer service, from assisting contractors with wiring on site to remote troubleshooting for staff in the kitchen. T wo to three full days per week in the office working on bids, one to two days on job sites, and dedicate another day to developing the territory. Territory development may include giving presentations to the engineering community, visiting new customers, or expanding contacts with an existing account. Comments from some of ou r sales engineers: Every day I get to help someone. Whether it's an engineer with a design, a contractor with a troubleshooting issue, or an end user looking for help to obtain better indoor air quality. I get to use my engineering skills, people skills and business skills every day. Our main "role" is not to sell products but to provide solutions - kitchen ventilation solutions, commercial ventilation solutions, heating/air conditioning solutions. I enjoy getting to work directly with end users and helping them complete their business goals. Attending a soft opening after completing a full design-build project with an owner is rewarding. I love the balance between working on designs in the office and also having that face to face interaction with our customers. It's awesome to handle the design phase of a project, then also take charge of the procurement process with the end user/customer and lastly watch our equipment perform as designed once installed and the project is complete. I also love the growth aspect of my role, I enjoy molding and shaping our business in order to set it up for success and then see the value we are adding to the market. Primary Job Responsibilities: Provide integrated application engineering and design support for a wide range of ventilation applications with the goal of providing sustainable products and the latest technologies best designed to meet the customers’ needs. Work directly with Engineers, Contractors, End Users, and Food Service Dealers. Daily tasks include inside sales support, application engineering and outside sales. Responsibilities will vary and may include presentations, quotes, submittals, technical product support, job site visits and hands on troubleshooting as needed. Educate and promote CaptiveAire products to users in your market.  This includes conference calls, meetings, organizing presentations, and product demos. Research and develop new business opportunities with new and existing users. Top notch customer service and willingness to go above and beyond to serve the customer. Quick turnaround times a priority. Continuously evaluate and improve processes as well as the customer experience. Required skills: 2-5 years experience preferred 4 year technical degree in a mechanical, electrical, construction or science-oriented curriculum preferred Excellent computer, organizational and communication/presentation skills Problem solving with a passion for continuous learning Strong desire to interface with the customer Embrace new technologies and business savvy Passion for work with aggressive nature to succeed Willing to travel for various training opportunities If not already completed, expectation of FE Exam completion in area of study for engineering graduates within 6 months of employment with CaptiveAire MUST BE A “GO GETTER”! Benefits: Medical, dental and vision insurance Disability & life insurance based upon election of medical insurance 401k with employer match Paid holidays Paid time off (PTO) based upon tenure Flexible spending account (FSA) Tuition reimbursement, including for Professional Engineering (PE) License Relocation assistance Salary: $70k-$100k base, negotiable dependent on experience, with additional monthly bonus based on productivity and profits. Captive-Aire Systems, Inc. is proud to be an equal opportunity workplace. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, uniformed services, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. To qualify, applicants must be legally authorized to work in the United States. At this time, we are not able to consider applicants that require sponsorship, now or in the future, for employment visa status. #LI- TL1 #P1

Location: London, United Kingdom About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Enterprise Account Executive UK&I Products & Resources Sectors About Workato Workato delivers the enterprise infrastructure for the agentic era, redefining iPaaS and unifying data, applications, processes, and AI into a single, governed platform. Workato serves as both the control plane and the action (execution) plane for agentic use cases — governing how AI agents are authorized, orchestrated, and monitored while reliably executing the work they trigger across every connected system. A visionary in Enterprise MCP and trusted by 50% of the Fortune 500, Workato's cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato gives organizations a trusted foundation to deploy agents with confidence — setting the policies and guardrails in the control plane and carrying out actions in the execution plane to operationalize AI across the business. To learn more, visit www.workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are passionate by innovation and looking for team players who want to thoughtfully build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities Workato is on an extraordinary growth trajectory — and we're looking for Account Executives ready to grow with us. As we continue to scale rapidly across the Nordic region, we're seeking an entrepreneurial company builder who thrives in dynamic environments and knows how to turn ambition into results. This isn't a role for someone who follows a playbook. It's for someone who writes one. You'll have the empowerment to shape strategy, build from the ground up, and make a real impact in one of the most exciting chapters of our journey. If you have a builder's mindset, a flexible approach to opportunities, and the hunger to be part of something memorable — this is your moment. Requirements Qualifications / Experience / Technical Skills 2-5 Years of experience in Enterprise New Business B2B sales, with a proven track record in enterprise SaaS or technology sales - ideally with some prior experience in integration, automation and/or workflow applications. Experience building and executing outbound prospecting campaigns alongside marketing, SDR, partner and pre-sales. Have worked successfully with business partners and know how to build strong lasting relationships with our SI & VAR ecosystem. Demonstrate tenacity, grit, and resilience when faced with adverse conditions. You have experience handling and owning relationships with customers at CTO, CIO, Enterprise Architect whilst also engaging with business stakeholders. Demonstrable track record of consistently meeting or exceeding targets Soft Skills / Personal Characteristics You are an enthusiastic, energetic team player who is comfortable working in a fast-paced and evolving environment You are known for your strong work ethic and hunter mentality You desire to build something new that can change the world, versus fitting neatly into a large company with an established static playbook You are a competitor with a thirst for success and a can-do attitude You enjoy problem solving and can demonstrate an ability to develop creative ideas to address new opportunities or challenges you face You will be naturally good at managing your time and balancing a number of conflicting priorities You will have a strong morale compass and apply your values to the way we conduct business with new prospects and existing clients

Location: Baku, Azerbaijan Senior Subsurface Specialist Location : Baku, Azerbaijan Type : Full-time Company : DRL LLC About eiGroup At eiGroup, we believe ideas can change industries - but only if they are nurtured with structure, science, and courage. We’re an R&D and Innovation Venture Studio that transforms human ingenuity into technological value that scales. Our ecosystem brings together researchers, engineers, and creators who turn complex challenges into scalable products - from subsurface imaging to AI-driven analytics, from remote sensing to digital transformation. Our ventures are built in-house, born from research, and grown into independent companies. Together, we’re shaping how innovation takes root in this region - and how it reaches the world. What You’ll Do 1. Existing Scope (Petrophysics-Focused Responsibilities) Lead domain-driven development of digital tools and workflows for petrophysics challenges, including log interpretation automation, missing-log prediction, anomaly detection, and reservoir layer quality assessment. Work closely with clients to understand pain points in petrophysical workflows and translate them into actionable digital solutions. Oversee reservoir characterization workflows, LWD-related automation, and advanced predictive modelling in the petrophysics domain. Provide domain assurance across tools developed by the data science and engineering teams, ensuring technical accuracy, consistency, and usability. Validate results, ensure model quality, and provide technical acceptance of delivered functionalities. Contribute to design and refinement of petrophysical algorithms, QC processes, and automated interpretation methodologies. 2. Future Scope (Geology & Reservoir Engineering Responsibilities) Drive the development of digital automation tools for geology and reservoir engineering, including geological procedure automation, integration across subsurface domains, and workflows for simulation data access/management. Scope backlog items for geology/RE activities, ensuring alignment with client needs and long-term product vision. Support development of tools involving geological modelling, simulation case handling, reservoir properties prediction, and domain-integrated interpretation. Ensure technical consistency between petrophysics, geology, and reservoir engineering products to deliver holistic subsurface solutions. Provide domain input on reservoir engineering concepts (classical RE, material balance, well/reservoir response understanding, etc.) when shaping future modules. 3. Client Interaction & Project Leadership Maintain continuous communication with clients, understand their business challenges, and translate requirements into digital product scopes. Lead scoping workshops, perform domain research, and develop solution proposals aligned with client expectations. Break complex business problems into structured, development-ready tasks for data science/software engineering teams. Provide domain oversight throughout development sprints, ensuring accuracy, consistency, and business relevance of delivered features. Support quality assurance and acceptance testing of domain-related components. Help identify new opportunities, propose enhancements, and contribute to long-term product strategy and scalability. 4. Internal Leadership, Vision & Growth Mentor junior domain specialists and support their technical development. Actively contribute to the product vision, roadmap design, and strategic direction for future domain-driven services. Work with management to explore new directions, client accounts, and partnership opportunities for business scale-up. Drive a high-energy, forward-pushing culture—motivating team members and ensuring clear planning of long, mid, and short-term objectives. Participate in sprint planning, backlog prioritization, and agile delivery cycles within a dynamic development environment. 5. Documentation, Reporting & Communication Prepare high-quality presentations, guidance documents, and quick analytical reports for both internal and client stakeholders. Communicate domain concepts clearly to technical and non-technical audiences. Present solutions, findings, and project progress in a structured, confident, and professional manner. What You Bring 1. Technical & Domain Requirements 5+ years of experience in subsurface domains with strong knowledge/experience in at least one and good understanding in remanining of following disciplines petrophysics, reservoir engineering and geology. Proven hands-on experience in reservoir characterization, log interpretation, QC workflows, and predictive modelling (missing log prediction, anomaly detection, LWD interpretation, etc.). Working knowledge of geological modelling, simulation workflows, and reservoir engineering concepts (classical RE, well/reservoir behaviour, system understanding). Ability to translate complex domain problems into structured digital workflows, algorithms, and automation opportunities. Prior involvement in digital product development, domain-driven automation workflows, or multidisciplinary technology projects is highly preferred. Familiarity with databases, data structures, and basic exposure to programming or scripting languages (Python, SQL, etc.) is a strong advantage. 2. Project & Delivery Skills Experience working in highly dynamic, agile development environments, including sprint planning, backlog creation, and iterative delivery. Ability to break down complex business problems into actionable tasks for data science and engineering teams. Strong capability in scoping, requirement formulation, and domain assurance throughout development. Demonstrated ability to validate technical outputs, ensure quality of delivered workflows, and provide domain acceptance. 3. Communication & Client-Facing Requirements Excellent communication skills with the ability to interact confidently with both clients and technical teams. Ability to run scoping workshops, gather requirements, and present digital solution proposals. Fluent in English, with strong presentation skills and ability to prepare high-quality PowerPoints, reports, and guidance materials. Ability to articulate complex subsurface concepts in a clear, structured, and business-oriented manner. 4. Leadership & Strategic Skills Experience mentoring junior subsurface specialists or leading small domain teams. Strong sense of initiative and ownership, with the ability to drive progress, manage expectations, and push delivery forward. Ability to think long-term and contribute to the growth strategy of domain-driven digital services. Proven track record of opening new opportunities, supporting pre-sales activities, and building relationships with multiple clients. 5. Personal Attributes Highly dynamic, proactive, and comfortable working in fast-paced environments. Strong analytical mindset with capacity to plan short-, mid-, and long-term objectives. Adaptability, problem-solving attitude, and ability to manage ambiguity. Passion for innovation, digitalization, and continuous improvement of subsurface workflows. Our benefits include: Medical insurance (family coverage) Flexible working hours “Push 30” wellness program - company-covered Childcare support Company-provided lunch

Location: Paris, Remote Workplace: remote As a Key Account Manager Pool (KAM Pool), you play a strategic role in scaling 360Learning’s customer growth and retention engine. You will join a team focused on maximizing renewal and upsell opportunities across a large portfolio of existing customers through automation, data-driven prioritization, and scalable account management strategies. You will manage a high-volume portfolio of customers ranging from 100 to 2,500 employees, with a focus on identifying growth opportunities, driving renewals, and increasing customer engagement at scale through automatization actions.  At 360Learning, the KAM Pool role is a unique opportunity to also shape the overall KAM team. It combines account management, revenue generation, and operational excellence. Your mission is to build scalable motions that accelerate expansion opportunities while ensuring customers continue to realize value from the platform. Therefore, your successful automatization processes will also help shape globally the entire KAM team.  As a transversal role, you will work closely with Client Success Partners, Revenue Operations, Marketing, and internal experts (digital pedagogy, platform structuring, IT) to deploy automated engagement strategies, optimize renewal processes, and generate upsell opportunities efficiently across your portfolio. We are eager to retain the best talent in our teams, and we encourage internal mobility after 2–3 years of continuous success to build fulfilling career paths. This role offers strong growth opportunities toward strategic account management, revenue operations, or large account ownership positions. Within 1 month, you will: Become a Trello expert and get familiar with our product Learn to navigate Convexity, our working environment Meet the different teams at 360Learning Understand our customer lifecycle and renewal processes Within 3 months, you will: Take ownership of you 150+ clients portfolio of existing customers Segment and prioritize accounts using scalable tiering strategies Identify automation opportunities to drive renewals and upsells Work closely with Client Success Partners to collect customer insights and engagement signals Launch automated campaigns and structured outreach sequences Prepare scalable account review frameworks to identify growth opportunities Contribute to the generation of renewal and expansion pipeline across your portfolio Conduct presentations and demonstrations of 360Learning when required Within 6 months, you will: Optimize renewal and upsell workflows through process improvements and automation Ensure accurate reporting and forecasting with your coach and Revenue teams Analyze customer usage data to proactively identify expansion opportunities and churn risks Build repeatable playbooks to improve portfolio performance at scale Consistently contribute to ARR growth targets through scalable account management initiatives Lead business negotiations for selected opportunities Within 12 months, you will: Own and optimize the renewal strategy for your portfolio Drive upsell generation through automated and data-driven engagement plans Manage customer business relationships at scale while maintaining a high-quality customer experience Continuously improve operational efficiency and account coverage models. Become a key contributor to the company’s retention and expansion strategy Exceed your targets and contribute to the evolution of scalable customer growth strategies at 360Learning. The Skill Set: 2+ years of experience in an Account Manager, BDR or sales-related function (revenue generation with a portfolio of clients) Previous experiences working in the SaaS industry Experience in a fast-growing environment such as start-up / scale-up, which requires agility and responsiveness Active listening skills and a team player mindset Excellent written and verbal communication skills Native French and fluent English (B2+) proficiency Fluent English (US/UK) / B2 level or equivalent (FR) Enthusiasm for our working environment explained here: https://bit.ly/Convexity360L What we offer: Compensation: Package includes base salary, a variable component and equity 📈 Benefits/Perks : Work From Home stipend, RTT, lunch vouchers, medical insurance, gym subscription, 1 month parental leave for the second parent. Balance: Flexible hours, full remote work possible anywhere in France 🏠 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 The interview process: Phone Screen with our Talent Acquisition Manager Discovery Meeting with our the KAM Mid Market Coach Case Study Meeting with our KAM Mid Market Coach and our VP Mid Market EMEA Clarification Meeting with our VP Mid Market EMEA Culture Fit Meeting with our Chief Revenue Officer Ref Checks Offer! ⇾ Get ready using our Knowledge Base: https://bit.ly/42H1ggC Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Team Description Reddit's Ads business is at an inflection point, and generative AI is reshaping how advertisers plan, build, launch, measure, and optimize campaigns. The Agentic Ads Experience team is building the next generation of advertiser-facing interfaces: campaign assistants, creative and ad copy generation, one-click campaign creation, audience discovery, conversational analytics, and optimization recommendations. This is a unique opportunity to join a fast-moving team shipping generative AI/agentic systems into a high-growth Ads product, where every launch has direct advertiser and revenue impact. Role Description As a Senior Software Engineer on the Agentic Ads Experience team, you will design, build, and ship AI-powered product experiences that change how advertisers work with Reddit Ads Platform. You will own features end-to-end: framing the problem, choosing the right combination of software, LLM calls, tools, orchestration, and guardrails, and driving them through rollout, measurement, and refinement. The ideal candidate is a strong product-focused software engineer with hands-on generative AI application experience, who has an opinionated point of view on where agents, workflows, skills, and retrieval belong, and who cares deeply about shipping reliable systems that advertisers actually trust. Responsibilities: Product Execution: Design and ship advertiser-facing AI features and platform (campaign assistants, creative generation, audience discovery, performance analytics, optimization recommendations) end-to-end, from prototype to GA. Agentic Systems Design: Make the right architectural calls on if and how to use generative AI, whether it’s a single-shot LLM call, a workflow, a skill, a retrieval system, an agent loop, human review, or no AI at all. Reliability and Guardrails: Build for the failure modes of LLMs — structured outputs, tool/action boundaries, retries, cost controls, tracing, evals, and human-in-the-loop where it matters. Measurement: Define offline and online evals, instrument traces, run A/B tests, and connect model and product metrics to advertiser and business outcomes. Safety and Trust: Design for data isolation, permissioning, auditability, and policy compliance when AI systems take action on behalf of advertisers. Collaboration: Partner closely with PM, Design, Data Science, ML Platform, Trust, and sales/ops to turn ambiguous problems into concrete, shippable systems. Collaborate with other product teams on how best to expose their services and capabilities to the platform’s centralized agent(s). Craft and Communication: Write clear design docs, explain trade-offs to non-engineers, and raise the bar on how the org ships gen AI features. Required Qualifications: 5+ years of experience as a software engineer, with a track record of shipping and operating production systems. Hands-on experience building generative AI applications: structured outputs, function/tool calling, prompt and context design, RAG, model routing, and handling model failure modes. Genuine enthusiasm for agents and LLMs — you follow the space closely, have opinions on the tools, and can talk shop about the evolving ecosystem. Strong systems fundamentals: APIs, distributed systems, queues, data stores, service ownership, auth, idempotency, retries, and observability. Experience defining evals and measurement for AI systems — offline datasets, online metrics, and knowing when and how to measure a launch quality bar. Fluent with AI coding tools and code-assistant workflows as part of your day-to-day engineering practice. Excellent communication skills. You can collaborate effectively in a remote environment and explain complex AI system trade-offs to technical and non-technical audiences. Extensive software development experience in one or more general purpose languages: Python, Golang, Rust, Java, JavaScript, etc. Bonus Points: Experience in Ads, marketing technology, marketplaces, growth, recommendations, search, or analytics. Experience building AI systems where mistakes are expensive: customer-facing products, regulated workflows, policy review, payments, or high-scale infrastructure. Experience building internal workflow automation for sales, ops, support, policy, trust, or engineering productivity. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k Match Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Reddit Global Days Off Generous paid Parental Leave Paid Volunteer time off #li-remote Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $190,800 — $267,100 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The Onboarding team owns the first experience every user has after signing up for Reddit. Every new Redditor, on every platform, walks through a flow we design, and our job is to make those first interactions feel streamlined, delightful, and personal. We guide each user through the signals we need to tailor their experience, then use those signals to help them quickly discover the magic of Reddit: valuable content and communities that feel approachable, relevant, and immediately rewarding from their very first session. Few teams at Reddit sit closer to the company's growth than this one. The decisions we make in the first session compound for the entire lifetime of a user, and the difference between a flow that connects and one that doesn't is the difference between someone becoming a lifelong Redditor or never coming back. That kind of leverage is rare, and it's why this work is some of the most impactful product engineering happening at the company. We get there by combining polished product engineering, ML-powered personalization, and rigorous product experimentation, in close partnership with product, design, and data science cross functional partners. We move fast, we ship to learn, and we measure everything we ship. If you want your work to genuinely shape how millions of people experience Reddit for the first time, this is the team to do it on. What You'll Do 🏗️ Foster and Guide the Technical Strategy for Onboarding Define and accelerate the backend architecture for a newly onboarded user: the signal-collection systems that learn who a new Redditor is, the personalization pipelines that turn those signals into a tailored first feed, and the experimentation infrastructure that lets us iterate on the moments that decide whether someone becomes a lifelong user. You won't be following a roadmap; you'll shape how we build the systems that compound for every user's lifetime. 🤝Partner With the EM to Cultivate a Growth Engineering Mindset Growth teams operate differently than platform teams. We prioritize experimentation and iteration, which means sometimes we throw things away to move faster. You'll help the team internalize that operating model: what it means to build for learning, how to balance velocity with reliability, and how to stay rigorous when moving fast. 🤖Scale Impact Through Collaborative Engineering You'll build and maintain deep partnerships with the engineering teams whose surfaces directly shape a newly onboarded user's experience: Relevance, Feeds, Notifications, and beyond. Many of these collaborations will touch ML-powered systems that surface the right content to the right users. You'll be the bridge that ensures Onboarding has a technical representation for the team and a collaborative influence on their roadmaps. 📊Instrument, Measure, and Iterate Establish the instrumentation and experimentation foundations that let the team run rigorous A/B tests on growth levers. Use metrics to make the case for the bets worth taking, and deprioritize efforts that don't meet goals. 🔗Guide Cross-Functional Alignment Serve as the engineering voice in XFN partnerships with Product, Design, Data Science, and other Consumer platform teams. You'll align stakeholders on technical feasibility and tradeoffs, co-author roadmaps that bridge user experience goals with backend realities, and represent Onboarding Engineering in Reddit-wide technical forums. ⚡Raise the Bar on Engineering Excellence Advocate for reliability, scalability, and maintainability across a complex, high-scale distributed system. Lead design reviews, establish patterns that the broader organization can learn from, and ensure that moving fast never becomes an excuse for accruing crippling tech debt. You'll define what "great" looks like on this team. Who You Might Be At least 7 years of experience . You’ve steered cross-team projects that solved tangible business problems, rather than just hitting a 'ship' date. A strategic partner, not just a technologist . A systems thinker. You see how the code, the product, and the team dynamics all influence each other. You can plan for next year while still helping an engineer through a blocker today. You're a mentor who helps other engineers level up . You don't just assign tasks; you help the team work through complex problems more effectively. You're energized by the opportunity to build culture and craft on a team, not just software. You're deeply data-informed and logical. You ensure metrics are part of the design process, not just an afterthought in a dashboard. Your architectural directions are traceable back to product and business outcomes, and you're fluent in the language of experimentation, funnels, and retention. Comfortable with growth-team ambiguity . You navigate ambiguity with confidence when the goal is clear but the path is not. You're comfortable with growth-team speed—prototyping fast, moving on when the data doesn't back a bet, and keeping the team focused when the plan changes. A focus on clear, transparent communication. You can effectively distill complex technical trade-offs for any audience—whether you’re collaborating on a whiteboard with peers or presenting a roadmap review to executive stakeholders. Experience with ranking, recommendations, and personalization . You have a proven track record of working on ML-heavy products. You can design the backend architectures, retrieval systems, and inference pipelines required to scale them. You understand the nuances of candidate generation and scoring, and you can partner effectively with Machine Learning engineers to turn model outputs (such as Two-Tower models) into high-impact product features. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $217,000 — $303,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma's AI Tools team builds the AI-powered workflows, platforms, and tooling that make every engineer at the company more productive. From agentic CI auto-fixing and AI-assisted code review to background cloud agents that turn a Slack message into a pull request, this team owns the systems that are transforming how Figma builds software. The team operates across a three-layer platform stack—sandbox runtime, cloud agents, and workflow orchestration—while shipping and maintaining a growing portfolio of org-wide developer workflows that compound across hundreds of engineers. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Lead and grow a team of engineers responsible for building and operating Figma's AI developer workflows and the cloud agent platform that powers them Own the technical strategy and roadmap for AI Developer Experience, spanning sandbox runtime infrastructure, cloud agent reliability, workflow orchestration, and org-wide agentic workflows Hire and scale the team - establishing team culture, execution cadence, and operational processes from the ground up Drive the reliability, observability, and scalability of our cloud agent platform, ensuring it meets production-grade standards as adoption grows across the engineering organization Partner with product engineering, security, infrastructure, and DevEx teams to identify the highest-leverage opportunities for AI-assisted developer workflows and drive adoption Evaluate and integrate emerging AI tools, models, and agent frameworks, making strategic bets on which capabilities to build versus buy Establish evaluation frameworks to measure the quality, cost, and impact of AI-generated code and agentic workflows across the organization Coach and mentor engineers through career development, performance feedback, and technical leadership, fostering a culture of ownership, speed, and high-quality execution We'd love to hear from you if you have: 3+ years of experience managing infrastructure, platform, or developer experience engineering teams, with a track record of scaling teams and delivering high-performing systems Strong software engineering background, with Staff-level or above technical depth before moving into management with deep understanding of distributed systems, platform architecture, and the operational challenges of running production infrastructure at scale Demonstrated fluency with AI/ML systems, LLM-based workflows, or agent architectures - as a builder, not just a consumer - with the ability to reason about tradeoffs in nondeterministic systems Experience hiring, onboarding, and growing engineering teams in fast-paced, high-growth environments Ability to set technical direction, drive cross-functional alignment, and make sound architectural decisions while balancing speed of execution with long-term sustainability While not required, it’s an added plus if you also have: Direct experience building AI developer tooling, agent platforms, or AI-assisted engineering workflows Familiarity with agent frameworks such as Cursor, Claude Code, or similar background agent systems, including MCP (Model Context Protocol) integrations Experience with workflow orchestration platforms such as Temporal, n8n, or Tines for multi-stage automation Background in developer experience platforms including CI/CD systems, build tools (Bazel/Blaze), or large polyglot monorepo environments Experience building evaluation and quality frameworks for AI-generated outputs At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $258,000 — $376,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: New York, NY (HQ); San Francisco, CA; Remote (US) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE We’re looking for someone to help lead the future of analytics at Ramp. This person will enable Ramp to get 1% better every day by developing data products and insights. They will partner closely with business stakeholders and product, engineering, and design counterparts to prioritize and execute on work, improve reporting, as well as drive results and process improvements. WHAT YOU’LL DO - Full stack development, building models to consume, transform, and expose data to stakeholders and production systems - Drive a culture of experimental design, testing agenda, and best practices - Contribute to the culture of Ramp’s data team by influencing processes, tools, and systems that will allow us to make better decisions in a scalable way - Collaborate with P/E/D/D (product, engineering, data and design) teams to develop product roadmaps and measure success - Work closely with data engineering teams to capture, move, store, and transform raw data into highly actionable insights, and partner with business teams to turn those insights into action WHAT YOU NEED - Minimum of 4 years of industry experience as a Data Scientist - Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery) and how to write efficient SQL queries - Familiarity with BI tools (preferably Looker, Omni, Sigma, Hex or equivalent) and experience distributing data insights via reports and dashboards - Track record of shipping high quality products and features at scale - Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions NICE-TO-HAVES - Experience with the modern data stack (Fivetran / Snowflake / dbt / Looker / Hightouch or equivalents) - Strong perspective on analytics engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development) - Experience within the payments and financial technology space - Familiarity with B2B enterprise sales cycle metrics and processes ABOUT OUR TEAMS - Product Data | Ramp’s Product Data team is responsible for delivering data products and insights that shape Ramp’s product direction and unlock business value. The Product Analytics team is also responsible for building out the platform through which new products are launched, instrumented, tested, and QA’d. The team embeds deeply as a partner to engineering, product, and design. - Risk & Capital Markets Data | Ramp’s Risk Data team is responsible for how risk is evaluated, and building the risk infrastructure to scale to millions of businesses in the United States. Areas include risk operations and underwriting, limit setting and pricing across financial products as well as fraud detection, regulatory reporting, and capital market relationships. - Growth Data | Ramp's Growth Data team ships data products and insights that allow Ramp to acquire new business and expand existing business and partnerships at scale. Current areas of focus include: Web & Martech, Outbound Automation, Customer Data Platform, Self-Service Product, GTM Strategic Finance, and Business Systems. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: United Kingdom; Belgium; France; Philippines; Ireland; Georgia; Spain; Portugal; United States Workplace: Remote BUILD, SCALE & OPERATE LEADING DTC BRANDS ALONGSIDE A-PLAYERS MANEUVER MARKETING Our Vision, Mission & Success are fuelled by our commitment to be a driving force of positive change to the health of everyday consumers, providing conscious, high-quality & innovative supplement products. In just 5 years, we kicked off our own DTC Health & Wellness brand from scratch and scaled it to USD$100M+ in annual sales, serving more than 3,000,000 customers worldwide with an average of 4,000 daily orders across 9 SKUs. These results caught the attention of The Financial Times https://www.ft.com/high-growth-asia-pacific-ranking-2023, as they ranked us among APACs top High-Growth Companies. We have also been awarded 2nd place on the E50 Awards https://www.sph.com.sg/media-centre/media-releases/fifty-local-smes-honoured-for-pioneering-success-and-innovation-at-30th-e50-awards/, jointly organised by The Business Times and KPMG in Singapore. This is just the beginning of our journey, and you could be part of the next stage of our growth! YOUR NEXT ROLE As a Creative Strategist, you’ll be at the forefront of driving high-converting, performance-driven assets for our DTC supplements brand. Serving a primarily female demographic aged 35-65, you’ll leverage creative insights, competitive research, and user-centric design to shape our brand's digital presence. Working across multiple platforms & channels, you’ll develop compelling static ads, short-form videos, landing pages, and more. With a clear focus on customer acquisition, you'll play a crucial role in our brand’s strategy and aesthetic, ensuring our content resonates and drives revenue. WHAT YOU’LL DO BUILD, IMPROVE & MAINTAIN RESEARCH INFRASTRUCTURE - Creating and maintaining a repeatable research system across ads, customer reviews, VOC, competitors, forums, market trends, and customer pain points. - Organizing insights into queryable, structured systems that the team can use to generate creative ideas quickly. - Tagging and categorizing research by angle, pain point, persona, mechanism, product benefit, objection, funnel stage, and creative format. - Turning research inputs into creative opportunities, briefs, hooks, and testable hypotheses. - Improving the research infrastructure over time so it compounds instead of becoming a static swipe file. - Connecting research outputs directly to creative performance and winner generation. Establish, Improve & Maintain the Creative Testing Process - Building structured creative testing frameworks across hooks, angles, formats, personas, funnel stages, and SKUs. - Designing test matrices that allow the team to isolate variables and understand what is driving performance. - Creating a high-velocity testing cadence with consistent launches and systematic iteration. - Using performance data to identify winners, losers, fatigue, scaling potential, and next-best iterations. - Connecting creative tests to business metrics such as CAC, MER, LTV, spend level, and scaling constraints. - Scaling winning concepts across new formats, funnels, channels, geographies, and products. - Maintaining clear documentation of what has been tested, what has worked, and what should be tested next. CREATE, IMPROVE & MAINTAIN BRIEFS ACROSS SKUS TO ACHIEVE RUN RATE AND EFFICIENCY TARGETS - Creating structured creative briefs that clearly define the hook, angle, persona, pain point, product mechanism, visual direction, format, objective, and funnel stage. - Ensuring every brief is grounded in customer insight, research, performance data, and business priorities. - Building reusable briefing systems that allow winning concepts to be adapted across SKUs and formats. - Translating research and test learnings into repeatable creative frameworks. - Mapping creatives to ToFu, MoFu, and BoFu stages with clear strategic intent. - Creating briefs that help designers, copywriters, editors, and media buyers execute faster with fewer revisions. - Improving briefing quality over time based on performance outcomes. DESIGN, IMPROVE & MAINTAIN CREATIVE PRODUCTION WORKFLOWS - Designing clear workflows from research → brief → production → QA → launch → analysis → iteration. - Creating modular production systems that allow multiple formats, SKUs, and concepts to move in parallel. - Defining ownership, handoffs, SLAs, and quality standards across creative production. - Identifying and removing bottlenecks before they slow down output. - Improving production speed without sacrificing creative quality or strategic clarity. - Working with designers, copywriters, editors, media buyers, and operators to maintain a predictable launch cadence. - Continuously improving and automating the production system where possible. Leverage Pod and Cross-Functional Teams to Solve Performance and Production Bottlenecks - Working closely with media buyers, creative teams, growth, operations, product, and other stakeholders to diagnose performance and production issues. - Identifying bottlenecks early, before they affect scaling. - Coordinating fast resolution across teams when creative output, testing velocity, or performance is blocked. - Translating performance issues into clear creative or operational action steps. - Ensuring learnings are shared across teams and channels. - Helping scale creative output across multiple acquisition channels (e.g. Meta, Google, Tiktok, and other relevant channels. HOW YOU’LL SUCCEED - Consistently achieve high click-through rates (CTR) and engagement ratios, with content that encourages shares and positive interactions. - Improve key conversion metrics, including conversion rate (CVR), average order value (AOV), and customer lifetime value (LTV). Through thoughtful A/B testing and design enhancements, you’ll support sustained, efficient growth reflected in a favorable blended spend-to-ROAS ratio. - Deliver ad concepts that meet or exceed campaign standards, maintaining a high ad grade success rate across tests. WHAT YOU BRING - 5+ years in creative DTC advertising, A/B testing, with an emphasis on design over data. - Strong portfolio showcasing design and video editing capabilities that enhance user experience and conversions. - Expertise in creative research, visual storytelling, and a strategic approach to design that integrates with marketing goals. - Solid grasp of digital platforms and performance metrics, with a high standard for design aesthetics. - A passion for psychology, design, video, and content that translates into engaging, customer-centric creatives. - Actively engaged in industry trends, from DTC Twitter spaces to creative testing discussions, with a proactive approach to staying updated. ABOUT YOUR APPLICATION - Please submit your application in English. It's our company language so you'll be speaking lots of it if you join. - We treat all candidates equally - if you're interested please apply through our careers portal.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. We're seeking an exceptional Research Scientist to join our Life Sciences team at Anthropic. Our team is building a world-class research group focused on making Claude a superhuman life sciences research assistant. This role sits at the intersection of machine learning, software engineering, and biology — you'll directly improve model capabilities on scientific tasks through post-training, evaluation design, and RL environment development. As a core member of our Life Sciences team, you'll work in a high-impact team that translates deep biological domain knowledge into model training objectives, benchmarks, and agentic workflows. You'll help establish Anthropic as a leader in AI-accelerated biology while shaping how frontier models reason about and execute computational biology tasks. This role offers a unique opportunity to shape how frontier AI models learn to do biology. You'll work alongside some of the world's best AI researchers while tackling problems that matter for human health and scientific understanding. If you're excited about turning your computational biology expertise into model capabilities, we want to hear from you. Key Responsibilities Build and ship agentic tools and integrations that let Claude execute real life science workflows — bioinformatics pipelines, database queries, analysis notebooks, literature review Design and build evaluation benchmarks that measure model capabilities on biology tasks — figure interpretation, bioinformatics, protocol reasoning, literature synthesis Work closely with product and design teams to scope, prototype, and ship features for life sciences users Partner with external biotech, pharma, and academic users to understand their workflows and turn feedback into product improvements Build and maintain the engineering infrastructure behind our biology product surface — tool scaffolding, data pipelines, eval harnesses Translate biological domain knowledge into product requirements and evaluation criteria that guide model improvement Minimum Qualifications Experience applying ML and software engineering to biological problems — computational biology, bioinformatics, protein ML, genomics, or similar Experience working in drug discovery or development at a biotech or pharma company, or conducted fundamental research in an academic setting — with an understanding of what real scientific workflows look like and where they break down Strong software engineering skills: comfortable building production-quality Python, working in large codebases, and owning infrastructure end-to-end Hands-on experience training or fine-tuning ML models (LLMs, protein language models, or other deep learning architectures) A track record of shipping computational tools or pipelines that biologists actually use Comfortable navigating ambiguity and defining problems in a rapidly evolving research environment Able to work independently while collaborating tightly with research, product, and domain-expert teams Results-oriented with a bias toward rapid iteration and measurable impact Passionate about using AI to accelerate scientific discovery while maintaining high ethical standards Preferred Qualifications 5+ years of experience applying ML and software engineering to biological problems — computational biology, bioinformatics, protein ML, genomics, or similar Ph.D. in computational biology, bioinformatics, bioengineering, CS, or a related quantitative field — or equivalent industry experience Experience with LLM post-training: RLHF, RL from verifiable rewards, SFT data curation, or eval-driven development Direct experience with therapeutic discovery pipelines — target identification, lead optimization, ADMET modeling, or clinical data analysis Familiarity with bioinformatics tooling and pipelines (sequence analysis, structure prediction, single-cell, variant calling, etc.) Experience building agentic systems or tool-use environments Published research in ML for biology, or open-source contributions to computational biology tools Fluency with biological databases (UniProt, PDB, Ensembl, NCBI) and the ability to reason about their schemas and failure modes The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Computer Use team teaches Claude to see and operate computer interfaces, and builds the agent harness and end-user products that turn that capability into real tools. The team sits inside Anthropic's research organization and closes the loop between product and model. As a Product Engineer on this team, you'll own end-to-end delivery of our computer-use and browser-control product surfaces. You'll build across the full stack, from the user interface to the agent runtime to the backend services behind it. You'll work directly alongside researchers, with no layers between you and the model or the user. This is a dynamic role in which priorities evolve frequently. Success depends on a high tolerance for ambiguity, the adaptability to shift focus as needs change, and the agility and discernment to continuously prioritize the highest impact work. Key responsibilities Own end-to-end delivery of computer-use and browser-control product surfaces: scope, build, ship, measure, and iterate Diagnose and resolve reliability and robustness issues in the computer-use agent harness that block real-world usage Partner with computer-use researchers Partner with the Claude Cowork team on shared surfaces, integrations, and knowledge-worker workflows Instrument products and use usage data to drive prioritization and measure progress Translate fuzzy user pain points into concrete, shippable features for knowledge workers Minimum qualifications Experience building and shipping a product from zero to one with end-to-end ownership, as a founding or early engineer at a startup or with equivalent ownership inside a larger company Strong full-stack engineering skills, including production web frontend and backend development Hands-on experience building with LLM APIs, prompting, or agent frameworks A track record of shipping to external users and iterating based on their feedback Preferred qualifications Strong product design instincts and the ability to produce a clean, usable interface without a dedicated designer Experience with browser automation, desktop automation, or robotic process automation systems Experience building evals or quality harnesses for machine learning systems Comfort with lightweight data analysis, such as SQL, notebooks, and defining and tracking product metrics Experience designing agent loops, tool integrations, or guardrails for LLM-based systems Representative projects Own and resolve the top reliability and robustness issues on the computer-control and browser-control product surfaces, with measurable improvement in task success rate Take a net-new computer-use powered workflow from concept to external users, including instrumentation and a readout on usage The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: USA (Remote) Workplace: Remote Mysten Labs’ mission is to advance the internet through step-function improvements in what technology makes possible. We build foundational infrastructure and products that give people, businesses, and developers new ways to interact, transact, and create value. Our work spans on-chain finance and the emerging agent economy. Through Sui, Move, and our broader technology stack, we’re building the systems that make these experiences possible - from secure, scalable blockchain infrastructure to new ways for businesses and AI agents to interact. THE ROLE We’re hiring a Senior Dealmaker to shape and lead AI partnerships for Walrus, Mysten Labs’ decentralized storage network, across the ecosystem. As AI agents take on more complex work, they need infrastructure that helps them retain context, handle sensitive information, and maintain a trustworthy record of their actions. With Walrus as the foundation for decentralized storage and persistent memory, we’re building toward that future with a broader stack that includes confidential compute—supporting product reliability and compliance as agents operate in the real world. Your job is to determine where Walrus and these complementary capabilities can create the greatest value, build relationships with the right partners, and structure agreements that lead to meaningful integrations and adoption. You’ll focus on foundation model companies, AI platforms, data platforms, and adjacent infrastructure providers. Working closely with the Head of Partnerships and Walrus product and engineering leadership, you’ll help set partnership priorities and independently lead complex opportunities from initial thesis through implementation. This is a senior individual contributor role with substantial ownership, requiring strategic judgment, commercial creativity, and hands-on execution. WHAT YOU’LL DO - Shape our AI partnership strategy. Develop a clear perspective on where Walrus can become essential infrastructure for AI applications and agents. Identify the partners, use cases, and market developments that should guide our investment of time and resources. - Originate consequential partnerships. Build relationships with founders, executives, and technical decision-makers at foundation model companies, AI platforms, agent frameworks, data platforms, and adjacent infrastructure providers. Create opportunities before there is an established partnership motion. - Define the opportunity alongside the partner. Understand how partners build, what their customers need, and where our technology can solve a meaningful problem. Work with product and engineering leadership to shape joint offerings, integration proposals, and commercial models. - Structure and close complex deals. Lead negotiations involving technical integrations, joint product development, distribution, and commercial agreements. Navigate competing priorities and create structures that give both organizations a compelling reason to commit. - Deliver integrations and adoption. Own relationships beyond signing. Align teams on scope, resources, and milestones; resolve obstacles; and keep partnerships moving toward implementation, launch, and sustained usage. - Influence across the organization. Bring partner and market insights into product, engineering, marketing, and leadership discussions. Make clear recommendations, surface tradeoffs, and build alignment around opportunities that require investment across teams. - Establish a repeatable approach. Turn early wins into sharper partner selection criteria, stronger deal structures, and more effective execution. Raise the quality of partnership work through sound judgment, shared learning, and mentorship. WHAT YOU’LL HAVE - Substantial experience in strategic partnerships or business development, typically 10–15+ years, with demonstrated ownership of strategically significant relationships in AI, data infrastructure, or developer platforms. - Deep engagement in the AI ecosystem, including strong relationships with founders, executives, and product and technical leaders at relevant companies. - A proven record of independently originating, structuring, negotiating, and closing complex partnerships that produced meaningful integrations, joint offerings, distribution, or adoption. - The judgment to identify which opportunities deserve investment, articulate a compelling partnership thesis, and walk away when the strategic or commercial fit is weak. - Strong product instincts and technical fluency. You can engage engineers on architectures and agentic workflows, uncover a partner’s underlying needs, and connect technical capabilities to business value. - Credibility in the startup community and firsthand experience building with limited structure, resources, or established processes. You can point to opportunities you personally created and brought to market. - The ability to think at enterprise scale while executing with startup urgency. You’re comfortable navigating executive stakeholders and handling the details needed to get an integration live. - A track record of influencing senior stakeholders and aligning product, engineering, legal, and commercial teams without relying on formal authority. - Creative commercial judgment, a bias for action, and accountability for outcomes through implementation and adoption. - Curiosity about decentralized infrastructure and the ability to become fluent quickly. Prior Web3 experience is welcome; substantial AI ecosystem experience is essential. - High ethical standards, direct communication, and comfort adapting as the product and market evolve. - Ability to travel approximately 20% of the time, including internationally. Location: San Francisco Bay Area preferred. We may consider exceptional candidates elsewhere who are deeply embedded in the AI ecosystem. Employment is contingent upon the successful completion of a background check, which may include verification of employment history, education credentials, criminal history, and other relevant information. Regarding the recent rash of technology job scams: Be aware that emails from genuine Mysten Labs group recruiters will always come from the @mystenlabs.com http://mystenlabs.com domain or related subdomains (e.g., mystenlabs.com/careers http://mystenlabs.com/careers). Remember: you can always verify positions on our job boards at www.mystenlabs.com/careers http://www.mystenlabs.com/careers. To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. Our team is remote first and we are hiring across the world. Here at Mysten Labs, you’ll be joining a world-class team with tremendous growth potential as we bring the next billion users to web3. We raised a $300M Series B round from top Silicon Valley led venture funds like Jump Crypto, Andreessen Horowitz (a16z), Binance Labs, Redpoint, Lightspeed, Coinbase Ventures, Electric Capital, Standard Crypto, NFX, Slow Ventures, Scribble Ventures, Samsung Next, Lux Capital, among other investment firms and strategic partners. Come join us and build the future of web3!

Location: New York City, NY; San Francisco, CA; Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an early member of our Safeguards Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by building and scaling a data driven culture from the ground up. In this unique company, technology, and moment in history, your work will be critical to informing our product and commercial strategy as we deploy safe, frontier AI at scale to the world. You will work closely with product, engineering, policy & enforcement to define and measure key company success metrics, analyze user behavior to identify new enforcement opportunities and build a culture of developing and testing hypotheses through experimentation. You’ve worked in cultures of excellence in the past, and are eager to apply that experience to building robust and scalable systems and processes as our company goes through a phase of rapid growth. Key responsibilities Deep dive into user behavior data to provide insights on safety concerns Define core metrics that measure the team's success. Set goals, build forecasts, monitor performance, and develop actionable reporting Identify and size opportunities to improve the product, influencing product roadmap through your insights and recommendations Develop hypotheses on product changes, design controlled experiments, analyze the results, and make recommendations based on impact to key metrics Build a data driven culture from the ground up by establishing foundational data best practices and making data more accessible across the company Minimum qualifications Expertise in Python, SQL, and data visualization tools. A bias for action and urgency, not letting perfect be the enemy of the effective. A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress. A deep curiosity and energy for pulling the thread on hard questions. Experience in turning open questions and data into concise and insightful analysis. Highly effective written communication and presentation skills. A passion for the company's mission of building helpful, honest, and harmless AI. Preferred qualifications 8+ years of experience in data science or analytics roles, preferably in an infrastructure or operations context. 3+ years of experience deeply embedding in Product teams. Experience working on safety, anti-abuse, integrity shaped problems. Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $380,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.