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SpaceXSI is looking for a Senior Model Engineer Post Training and Reinforcement Learning to improve model capabilities through post-training, reinforcement learning, data experiments, and evaluations.

SpaceXSI is looking for a Senior Model Engineer Reinforcement Learning Training Framework to develop, optimize, and scale reinforcement learning training systems.

Humanoid is looking for a Prototype Engineer to assemble integrate test and troubleshoot humanoid robotic prototypes.

Location: Egypt The Technical Support Engineer - L1 will be part of the Level 1 team in Cincom's new 24/7 Support function, based in Cairo, and the first point of contact for Cincom customers experiencing technical issues with their enterprise software products, including CPQ, Eloquence and Cincom Smalltalk. The role focuses on receiving and managing customer cases, performing initial technical investigations, following established troubleshooting procedures, and ensuring timely escalation to the appropriate product specialists when deeper investigation is required. This is an opportunity for a recent graduate or early-career engineer with strong technical fundamentals, analytical thinking and a customer-oriented mindset to develop expertise in enterprise software support. The role operates within a 24x7x365 support organisation and requires flexibility to work rotating shifts, including nights, weekends and public holidays. KEY RESPONSIBILITIES Case Management Act as the first point of contact for customers reporting technical issues with Cincom products. Register, categorise, prioritise and manage incoming support cases in Zoho Desk in accordance with established procedures, severity definitions and service levels. Investigation & Troubleshooting Perform initial technical investigation and troubleshooting to identify the nature and potential source of reported issues. Follow documented troubleshooting procedures, knowledge articles, known-issue playbooks and Cincom's AI-assisted knowledge tools to resolve supported L1 cases. Collect and analyse relevant technical information, including error messages, logs, timestamps, system details and troubleshooting results. Identify whether reported issues may relate to application behaviour, operating systems, databases, infrastructure or network connectivity. Escalation & Customer Communication Recognise issues requiring deeper technical investigation and escalate them to Level 2 support, Hosted Services or the product engineering teams (Level 3) with complete technical findings. Recognise any report of a possible security vulnerability or active exploitation and route it immediately through the security escalation process, as these carry strict regulatory reporting deadlines. Maintain end-to-end ownership of customer-facing cases, ensuring regular updates, appropriate follow-up and clear communication until resolution. Participate in customer calls and communicate technical information clearly to both technical and non-technical audiences. Maintain accurate and consistent case documentation, including investigation steps, findings, actions taken and escalation details. Collaborate with L2 engineers, Hosted Services and Product Engineering teams to facilitate effective case resolution. Knowledge & Continuous Improvement Contribute to the development and maintenance of the technical knowledge base, troubleshooting guides and self-service content. Identify recurring issues and knowledge gaps and share observations with senior engineers to support continuous service improvement. Develop technical knowledge across Cincom's product portfolio, gradually building deeper expertise in assigned products and support areas. Security & Data Protection Handle customer data, logs and system access in line with Cincom's information security, data protection (including GDPR) and customer confidentiality requirements. Follow the controls that support Cincom's ISO 27001 and SOC 2 programmes, including access management and evidence of how cases are handled. Requirements WHAT WE'RE LOOKING FOR Essential Bachelor’s degree in computer science, Computer Engineering, Information Systems or a related technical discipline. 0–2 years of relevant experience; fresh graduates are encouraged to apply. Strong technical fundamentals in operating systems, networking and application technologies. Good analytical and troubleshooting skills, with the ability to investigate problems logically and systematically. Ability to understand technical information, identify relevant symptoms and determine appropriate next steps. Strong written and verbal communication skills in English. Good organisational skills and the ability to manage multiple cases while maintaining appropriate priorities and follow-up. Ability to work effectively within a team and collaborate with different technical functions. Customer-oriented mindset, ownership, attention to detail and willingness to learn. Able to work rotating shifts, including nights, weekends and public holidays, in a 24x7x365 support environment. Technical Foundations The following technical foundations are essential at foundation level. Product-specific skills are taught on the job. 1. Linux / Unix Fundamentals Basic command-line proficiency, understanding of file systems, permissions, processes, services and system logs. 2. Networking Fundamentals Understanding of TCP/IP, IP addressing, DNS, DHCP, ports, routing and connectivity troubleshooting tools. 3. Windows Operating Systems Basic knowledge of Windows operating systems, services, Event Viewer, Windows Server and Active Directory. 4. Application & Database Fundamentals Understanding of client-server architecture, application troubleshooting, log analysis, database fundamentals, basic SQL, HTTP/HTTPS and REST APIs. Desirable The following skills and experience are desirable: Basic programming or scripting knowledge, preferably Python or PowerShell. Familiarity with JSON, APIs and application integration concepts. Exposure to database technologies such as SQL Server, MySQL or MongoDB. Familiarity with virtualisation and cloud computing fundamentals. Academic projects or internships involving software applications, databases, operating systems or infrastructure. Previous exposure to enterprise software or technical support environments. Linux certifications such as Linux Essentials, RHCSA or equivalent. Networking certifications such as CCNA or equivalent. Microsoft technical certifications. Basic programming or database certifications. Additional language skills, particularly French, German or Italian. PRODUCT KNOWLEDGE Previous knowledge of Cincom products is not required. However, the successful candidate will be expected to develop familiarity with the company's enterprise software portfolio, starting with the products in scope for Level 1, during onboarding and technical enablement. HOW SUCCESS IS MEASURED First 90 days Product and process onboarding completed for the products in scope, with knowledge checks passed. Handling Level 1 cases independently on the shift rota. Case records consistently meet the documentation standard in quality checks. Ongoing First response and update times within the agreed service levels. Share of cases resolved at Level 1 against the team target. Escalations reach Level 2 or Level 3 with complete information first time. Customer satisfaction scores on closed cases. Regular, useful contributions to the knowledge base.

Location: São Paulo, Brazil; Santiago, Chile; Bogotá, Colombia New opportunities in Latin America! 🟢 Dev.Pro is a US-based software development company helping tech companies build their products and grow their business. We’re remote-first, and we work with independent contractors in over 55 countries, so you’d be collaborating in a multicultural environment on some really interesting projects. We invite a Senior Data Engineer to join our team and contribute to a high-impact project for a strategic client in the Point of Sale (POS) domain. The project focuses on connecting data from POS systems with the data platform of a well-known hotel chain, including database integrations and reporting. In this role, you’ll work with AWS services and data pipelines, help build reliable integration solutions, and collaborate closely with the engineering team to support successful delivery. 🟩 What's in it for you: Contribute to an interesting integration project at the intersection of the POS and hospitality industries Apply your expertise in AWS and Python to build reliable data integration solutions ✅ Is that you? 5+ years of experience in Data Engineering Hands-on experience with AWS services and AWS data products Experience designing, developing, and maintaining data pipelines in AWS Hands-on experience with data integration, transformation, and processing Strong proficiency in Python Strong SQL skills for data transformation and analysis Strong problem-solving, analytical, and troubleshooting skills Strong communication skills and ability to discuss technical matters with clients Adaptability and effective time management skills Upper-Intermediate+ English level Desirable: Experience with Snowflake, particularly Snowflake data apps Familiarity with GCP services Knowledge of JavaScript and frontend development Experience with Java or Scala Experience in the POS domain 🧩 Key responsibilities and your contribution In this role, you'll help connect data across systems and build solutions that support the client's integration needs. Develop and maintain data pipelines to support data integration between POS systems and data platform Work with AWS services and data products to build and support data integration solutions Use Python and SQL to support data processing and transformation Work on database integrations and reporting solutions Collaborate with the Tech Lead and other engineers to implement and deliver data solutions Communicate with client stakeholders on technical matters as needed Our next steps: ✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Interview — ✅ Signing the Contract Interested? Find out more: 📋 How to Join Us 💻 LinkedIn Page 📈 Our website 💻 IG Page By submitting application, I've read and agree to the Dev.Pro Private Policy and Consent on Processing of Personal Data . I agree to have my Personal Data being stored and processed by Dev.Pro.

Location: Egypt ABOUT CINCOM Cincom builds and supports enterprise software used by organisations across EMEA, with three main product lines: CPQ, Eloquence (customer communications management) and Smalltalk. Our customers run our products on their own infrastructure and, increasingly, hosted and managed by Cincom in the cloud. We are reorganising engineering, delivery and support so customers get one consistent, well-run service whatever they buy and however it is deployed. PURPOSE OF THE ROLE You will run Cincom’s hosted customer estate day to day, making sure every hosted customer gets a secure, reliable and cost-controlled service. You will manage our cloud services for those customers, build and configure their environments to our reference designs, and work closely with our Kubernetes Engineer, who will move into your team once the structure is finalised. Hosted Services is part of our new Support function, which is building a professional 24/7 service across all our products. You will work closely with the Principal Infrastructure Architect, who owns the reference designs and sizing, and with the product DevOps teams. KEY RESPONSIBILITIES Run the hosted estate Own the day-to-day operation of hosted customer environments: patching, backups, monitoring, capacity and change. Act as the senior escalation point for hosting incidents, and drive them to resolution with the product teams where needed. Run disaster recovery tests on schedule and fix what they find. Keep runbooks and operational documentation current. Cloud services and cost Manage our cloud subscriptions and services for hosted customers, mainly Azure. Track and control cloud spend for each customer, and flag cost or capacity issues early. Manage reserved capacity, renewals and cloud provider support cases, working with the Principal Infrastructure Architect and Finance on commercial decisions. Build and configure Build and configure new customer environments to approved reference architectures, using infrastructure as code. Work with the Kubernetes Engineer to run and improve our container platform. Set up test environments, and support the Principal Infrastructure Architect and product teams in performance-testing configurations for hosted and on-premise deployments. Customers Be the technical contact for hosted customers on their environment, availability and service levels. Report on availability, incidents and performance against hosting service levels. Onboard new hosted customers smoothly, working with Delivery and Client Success. Lead and improve Lead and develop the Kubernetes Engineer once the Hosted Services structure is finalised. Until then, the Kubernetes Engineer sits in the Eloquence product engineering team and you will work closely with them. Automate repetitive work, and improve monitoring and alerting. Provide evidence and controls for ISO 27001 and SOC 2 certification, working with our process and compliance lead. Requirements Essential Several years running production customer environments in Azure, at a software vendor or managed service provider (AZ-104 or equivalent level). Hands-on infrastructure as code, using Terraform, Bicep or similar. Working experience with Kubernetes and containers, ideally Azure Kubernetes Service. Strong Windows and Linux server administration, plus relational databases (for example SQL Server, Oracle or PostgreSQL). Backup, disaster recovery and monitoring tooling in practice, not just in theory. Comfortable talking to customers about their service, and calm under incident pressure. Able to work effectively as part of a remote team spread across time zones. Desirable Experience of performance or load testing tools. Cloud cost management or FinOps experience. Experience in an ITIL-based support organisation, and in ISO 27001 or SOC 2 environments. Some experience leading or mentoring an engineer. WHAT SUCCESS LOOKS LIKE IN THE FIRST 12 MONTHS Hosting service levels met and reported to every hosted customer. Patching and backups on schedule across the estate, with disaster recovery tested and documented. Cloud spend known for each customer, with no surprises. New customer environments built through infrastructure as code, to reference designs. Fewer repeat incidents, and runbooks the wider Support team can use. Benefits Independent Contractor (Contractor is responsible for applicable taxes and statutory obligations, subject to the agreement and local law) Full-time role Availability for occasional short travels Payment in USD Equipment provided by the company Contractor fee range - $2,500–$3,500 USD per month Equal Opportunity Employer PartnerOne is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic. AI Use Disclosure During our recruitment process, we may use technology, including AI-assisted tools, to support application review or scheduling. These tools support our recruiting team and do not replace human decision-making. Where required, candidates will receive additional information about the tool and applicable rights. This job posting is for an existing vacancy.

Location: Ukraine; Poland; Romania; Spain; Portugal; Croatia At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed. We are looking for a Senior ML & AI Engineer to join us as part of our team. About the role PitchBook’s Machine Learning Engineer is responsible for using machine learning, statistical modeling, and natural language processing (NLP) to collect a high-volume of data for the PitchBook Platform and surface insights for the capital markets. This role will also serve as a resource and mentor for junior members of the team. A strong motivation to succeed is critical and everyone has the opportunity to shape the long-term direction of our team. About the project PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Features of PitchBook: Advanced search / Discovery & insights / Company profiles / Workflow & efficiency / Financials and many more. Team 1 EM, 6 ML Engineers Work Environment The role offers a flexible work schedule, allowing you to adapt your working hours with the requirement to attend all team meetings. The team follows a Scrum-based Agile methodology. As a qualified expert, You will Work with GenAI & LLMs: Design, develop, and fine-tune generative AI models using transformer architectures. Implement advanced techniques to create practical solutions for real-world challenges. Use Modern Toolkits: Leverage frameworks like LangChain, LangGraph, and LangSmith to build automated pipelines and intelligent agents. Integrate these tools with vector databases for efficient similarity search and real-time analysis. Extract Data Insights: Process and analyze large volumes of unstructured data using embeddings and statistical modeling to identify meaningful insights. Build Scalable Systems: Collaborate with cross-functional teams to create production-grade ML systems that handle real-time, high-volume data processing. Mentor & Lead: Act as a mentor for junior team members and stay updated on trends in Agentic AI, transformer models, and generative systems. Collaborate & Communicate : Work with Product and Engineering teams to improve data management and support innovation. Present complex analyses clearly and effectively. Tech Stack & Focus Areas: Work with generative AI and transformer models, integrating frameworks like LangChain, LangGraph, and LangSmith to automate workflows and build intelligent systems. Use PyTorch, Scikit-Learn, and Spacy to build NLP pipelines. Implement vector databases for high-dimensional data embeddings and develop hybrid models to extract insights from diverse data sources. We’re looking for you if you have Educational Background: You hold a Bachelor’s or Master’s degree in Computer Science, Machine Learning, Statistics, or a related field. Experience: You bring 5+ years of production experience in the ML field, with a track record in developing transformer-based models and deploying them in scalable systems. Technical Expertise: Proficient in Python and machine and deep learning frameworks like TensorFlow, PyTorch, ScikitLearn, Spacy or other. Experienced in natural language processing and modern LLM based techniques. Experience with full ML lifecycle, data preprocessing, training, evaluation stages and monitoring techniques Skilled with SQL and data extraction methods. Innovative Thinker: You thrive on solving complex problems and are always exploring new trends in Generative AI. Collaborator & Communicator: You’re an excellent communicator able to collaborate and express your thoughts in a professional manner to team members, other engineering teams and stakeholders. Domain Knowledge: Exposure to financial services, investment banking, venture capital, or private equity is nice to have. Languages: English —Upper-Intermediate or higher; Ukrainian —fluent/native . What’s in it for You Reveal great tech solutions Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience an agile and flexible working environment Enjoy the freedom of fully remote work with a flexible working schedule. Empower yourself with a stable workload and a stable income, supported by provided laptops and licensed software. We focus on lasting cooperation and unite result-oriented individuals who stand on a high-performance approach to work. Embrace the opportunity for personal and professional growth Benefit from performance and merit reviews, elevate your skills with personal development plans, and individual learnings through the corporate library, public speaking support, and more. Be among like-minded people Work with a team of one mind who cares about what they do and how they do. Collaborate with top-notch experts who are always ready to help and support you through any challenges. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Feel supported by your HR, and take advantage of our referral bonus program. Interview steps Interview with the recruiter Technical interview (up to 90 min) System Design interview (up to 45 min) Behavioral Round with Product Manager (45 min) Final interview with Engineering Manager (30 min)

Location: Abu Dhabi, United Arab Emirates We are? We are EnerMech, a specialist service company that delivers safe, integrated solutions for complex energy projects. For over 50 years, we’ve been energizing our clients across the world with unrivaled expertise, equipment, and technology that supports the entire asset life cycle – offshore and on land. We enable progress through our three global business lines: Energy Solutions, Infrastructure & Industrial Solutions, and Lifting Solutions. Within these areas, we offer a wide range of services, including cranes, lifting, fluid power, training, equipment rental, pipeline, subsea, process, and valves – all designed to help you optimize performance, enhance reliability, and improve efficiency. With a focus on operational excellence, we deliver value through our customized integrated solutions. This approach reduces risk and enhances efficiencies making us a leading and trusted partner every step of the way. Diversity & Inclusion EnerMech is dedicated to fostering a diverse and inclusive organization. We believe that diversity enriches our team, and we welcome applications from candidates of all backgrounds, cultures, and identities. Role Establish, develop and lead the Middle East, Caspian & Asia engineering function across ES and IIS, implementing the global engineering operating model while maintaining responsive regional delivery. Provide dedicated transformation leadership and remain the long-term regional owner of capability, standards adoption, engineering governance implementation and workforce development. Translate globally defined standards, competency requirements and approval levels into consistent local practice. Lead the assigned regional engineering team and own its training, development and competency readiness Coordinate capability across countries and service lines and with other regional engineering leaders to enable agile delivery and global workforce flexibility. Manage the regional technical authority process and access to appointed authorities. Responsibilities Implement the engineering transformation locally: establish the capability and workload baseline, assign process owners, clarify responsibilities and deploy approved procedures, review gates and readiness requirements. Maintain a regional engineering delivery and capacity plan with operations, project and commercial leaders; match work to verified competence, secure checking capacity and escalate resource conflicts. Embed engineering early in tendering, project planning, equipment preparation, mobilization and field handovers, supporting realistic technical commitments and effective delivery interfaces. Ensure preparation, independent checking and approval responsibilities are explicit and recorded. Route high-risk or specialist decisions to appointed Technical Authorities and escalate unresolved technical / schedule conflicts to the Global Engineering Director. Lead adoption of controlled documentation, shared templates, verified calculation methods and approved digital workflows; manage regional implementation of engineering process and tool improvements within the global strategy. Implement the global competency framework and maintain regional team training and development plans aligned with competency gaps and delivery needs; coordinate structured training, mentoring and graduate rotations, develop multiskilling across relevant ES and IIS services and support succession planning. Coordinate regional recruitment and capability development with regional leadership and HR. Coordinate with other Regional Engineering Managers to share visibility of capacity, competencies and demand; agree cross-regional resource sharing, mobility and development opportunities to respond rapidly to changing priorities and provide global delivery flexibility. Align assignments with verified competence and regional commitments, promote common methods and reuse of technical lessons, and feed improvement proposals into the global framework. Monitor engineering quality, schedule adherence, readiness, rework, review turnaround and capability development; provide transparent regional delivery reports, risk escalation and corrective-action follow-up. Apply EnerMech and client quality, health, safety and environmental requirements; ensure competent technical risk assessment, management of change and closure of engineering assurance findings. Sustain regional ownership through routine governance, standards-adoption checks, training compliance and continuous improvement across onshore and offshore delivery. Requirements Experience: normally 8–12+ years of relevant engineering experience, including at least 3 years in engineering leadership Qualifications: relevant engineering degree, including Mechanical, Civil, Electrical, Chemical or Ocean Engineering according to discipline, plus demonstrated application. Evidence: implementation of standards and review processes; coordination of engineering resources; structured training / mentoring; and delivery across operations and project interfaces. Competency: Advanced leadership, planning and governance, with sufficient technical breadth to direct multidisciplinary ES / IIS support and recognize specialist limits. Travel: travel across Middle East, Caspian & Asia and collaboration with global teams as required. Advanced functional leadership: translate global direction into regional plans, clear ownership and sustained adoption. Engineering governance: understand technical assurance, codes, risk, change control and delegated approval boundaries without substituting management seniority for technical authorization. Change implementation: introduce common processes and digital tools while protecting capacity for current commitments. Workforce and development: plan capability and demand, structure mentoring and rotations, and maintain evidence-based competency and succession processes. Matrix collaboration: align global engineering and regional delivery stakeholders across countries, projects and service lines. Business and data literacy: interpret engineering delivery measures, scope, cost and commercial risk; explain constraints and make transparent recommendations.

Location: AU: Sydney (45 Clarence St); AU: Melbourne: (260 Burwood Rd) Workplace: Hybrid THE ROLE AND ITS IMPACT As a Data Engineer in our G&A Data & Analytics team, you will build the data products, pipelines and semantic layers that power decision making across Finance, People Experience and Legal. You will design and maintain a governed semantic layer in Snowflake, translating business concepts into metrics, dimensions and definitions that make data easy to trust and simple to use, while also helping shape the AI and agentic capabilities that give people conversational access to that data. The numbers you help produce matter well beyond the team, feeding financial performance insights, workforce reporting and figures that are shared with our Executive Leadership Team, our Board and, ultimately, the market. It is a role with real visibility and real stakes, where the quality and reliability of your work directly shapes how confidently Xero can report on its own performance.   THE TEAM AND HOW THEY CONNECT The G&A Data & Analytics team exists to empower Xeros across Finance, People Experience (PX) and other G&A functions with trusted data, analytics and AI‑driven insights that improve performance outcomes. We design, build and maintain data products and analytical capabilities that underpin Xero’s internal decision‑making – from financial performance and workforce health through to operational efficiency and strategic trade‑offs.   THE TEAM IS CURRENTLY WORKING ON - Snowflake and dbt as the backbone of our data platform, alongside an emerging agentic and AI layer built on reusable skills and MCP integrations - Bringing new revenue streams from recent acquisitions into a single, consolidated model so we can report Xero's performance consistently - Building and testing dbt models and snapshots that support our monthly financial and workforce reporting cycles - Extending our semantic layer so more of G&A's reporting can be answered conversationally, with the right guardrails in place   WHERE AND HOW YOU CAN WORK We support a flexible working model that empowers you to balance your professional and personal life. You will have the option to work in a hybrid capacity, combining the focus of remote work with the collaboration of our office spaces and team boost days to foster connection and alignment.   HERE ARE SOME OF THE THINGS WE'RE LOOKING FOR, FOR THIS ROLE - You will bring hands-on experience building SQL data models, with dbt as your tool of choice for testing, documentation and snapshotting - Validating your own outputs comes naturally to you, and you are comfortable standing behind the numbers a model produces - Curiosity about how AI can make data more accessible will serve you well here, as you help shape the conversational and agentic layer we are building in G&A - You will Go Together with Finance, Legal and People teams, translating their questions into data products that are genuinely trusted and easy to use - Acting as a senior voice in the team comes naturally, whether that is sharing patterns, mentoring others or helping set a consistent standard for how we build - You will Go Further by looking past the obvious answer to find a simpler, more reliable way to model or validate a piece of G&A's data   Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Location: United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Engineering Manager Role Overview We are seeking an Engineering Manager to lead the development of internal tooling and quality-control systems that power AI training workflows. This role is ideal for a leader who enjoys working across application development, infrastructure, and applied AI. You will be part of a rapidly growing team solving complex problems in AI systems, working in a startup-paced environment with high expectations and short timelines. The ideal candidate is someone who takes ownership beyond what their role technically requires, has a track record of shipping production systems, and is excited by the intensity of a fast-paced, ambiguous environment rather than looking for stable, predictable work. Key Responsibilities Tooling and Platform Development: Build scalable platforms supporting data creation, annotation, evaluation, review, and delivery. Design and implement APIs, internal applications, and developer tooling that enable efficient workflows. Develop maintainable, well-tested code that scales with growing demands. Quality and Efficiency: Improve dataset quality, task validation, model evaluation, and production efficiency. Build and iterate on evaluation frameworks that ensure quality and reliability of AI training outputs. Collaborate with research and domain experts to translate requirements into practical solutions. Architecture and Standards: Own architecture, technical delivery, reliability, security, and engineering standards. Design and implement data pipelines for dataset creation, annotation, and delivery at scale. Contribute to technical design and architecture decisions that balance speed, quality, and maintainability. Leadership and Mentorship: Mentor engineers and establish strong design, testing, and release practices. Partner with Operations, Product, and AI specialists to identify bottlenecks and deliver pragmatic solutions. Lead teams through urgent, high-pressure delivery schedules while maintaining quality and engineering excellence. Technical Skills Web Development - Node.js, React, NestJS, Next.js, Express Python Engineering and Data Science - FastAPI, NumPy, Jupyter notebooks. Proficiency in large-scale data generation and data pipeline orchestration. Frameworks like Spark, Beam, or Dataflow preferred. Statistical analysis, data visualization, and data manipulation. Infrastructure - Kubernetes, Docker, Pulumi, Terraform, infrastructure-as-code AI Engineering - LangChain, LiteLLM, RL Gyms, LoRA and fine-tuning, AI agents, and Harbor Quality Systems - Dataset validation, evaluation frameworks, automated testing, and QC tooling Qualifications Strong software engineering fundamentals with a proven track record of shipping production systems. Experience leading teams effectively in fast-paced, ambiguous environments. Demonstrated ability to balance speed, quality, scalability, and maintainability in technical decisions. Strong debugging, problem-solving, and communication skills with cross-functional teams. Interest in the evolving challenges of training and evaluating AI systems. What Success Looks Like You lead a team that ships high-quality solutions enabling AI training workflows. You can identify technical bottlenecks, design pragmatic solutions, and guide your team to implement them reliably. You're energized by working across the full stack from infrastructure to application code, and you're excited about the technical challenges of building evaluation and quality-control systems for AI at scale while developing strong engineers. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: Chicago, Illinois Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? We’re seeking a transformational Solutions Engineering leader to lead our Mid Market and Enterprise SE teams in North America. You’ll be a pivotal figure in helping Intercom scale its AI-driven support platform to some of the world’s most well-known brands. This role will shape how we engage with large, complex organizations, defining our go-to-market, building a world-class team, and delivering tangible customer outcomes through innovation and credibility. This role is both strategic and hands-on. You will lead a Solutions Engineering team focused on winning complex deals, creating vertical-specific solution architectures, and building repeatable playbooks. We believe in leaders who are open to be a player and a coach, regardless of seniority. You’ll collaborate closely with Sales, Success, Product, Engineering, and Services to deliver customer transformation through Intercom’s AI-first platform – be it through strategic guidance as a senior leader on the team, or securing deals with your own technical credibility where needed. What will I be doing? Define and evolve the strategic vision and go-to-market (GTM) approach for the Solutions Engineering function. Lead, coach, and scale a high-performing SE team across global regions and core verticals. Operate as a player-coach, actively engaging in strategic deals while developing team capabilities. Support complex, six-figure sales cycles with technical guidance, architecture, demos, and product evaluation support, as well as sales expertise. Serve as a trusted technical advisor and executive point of contact for large customers. Partner closely with Sales, Product, Marketing, and R&D to shape verticalized GTM motions and solution strategy. Champion a customer-obsessed culture across the pre-sales journey – from outbound to implementation. Lead discovery, design, and delivery of tailored technical solutions, including PoCs and business value assessments. Build reusable, scalable solution frameworks, and industry-specific technical assets. Advocate for customer needs and insights internally to influence product roadmap and prioritization. Represent Intercom and the SE function externally through executive meetings and strategic events. Foster strong relationships with C-level stakeholders, translating AI product capabilities into tangible business impact. What skills do I need? 5+ years of pre-sales experience as a Sales Engineer, Solutions Engineer/Architect, or related individual contributor role. Having 3+ years of experience leading technical pre-sales teams, with a proven track record of hiring, mentoring, and managing high-performing teams. Ideally, experience selling AI, data, or highly technical products; or at the very least, deep curiosity and utilization of AI on your day-to-day. Comfortable with ambiguity in environments with an ability to stay focused and thrive under pressure while working with customers to solve their most challenging issues. Have a humble attitude, and a passion to help others, with a willingness to learn whatever it takes to support the team and help our customers thrive. A track record of consistently delivering revenue numbers, producing accurate forecasts, while maintaining a focus on team development and growth Excellent communication and presentation skills The OTE salary range for candidates within the Greater Chicago Area is $295,650-$353,140. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: NYC, Remote; San Francisco, California Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? We’re seeking a transformational Solutions Engineering leader to lead our Mid Market and Enterprise SE teams in North America. You’ll be a pivotal figure in helping Intercom scale its AI-driven support platform to some of the world’s most well-known brands. This role will shape how we engage with large, complex organizations, defining our go-to-market, building a world-class team, and delivering tangible customer outcomes through innovation and credibility. This role is both strategic and hands-on. You will lead a Solutions Engineering team focused on winning complex deals, creating vertical-specific solution architectures, and building repeatable playbooks. We believe in leaders who are open to be a player and a coach, regardless of seniority. You’ll collaborate closely with Sales, Success, Product, Engineering, and Services to deliver customer transformation through Intercom’s AI-first platform – be it through strategic guidance as a senior leader on the team, or securing deals with your own technical credibility where needed. What will I be doing? Define and evolve the strategic vision and go-to-market (GTM) approach for the Solutions Engineering function. Lead, coach, and scale a high-performing SE team across global regions and core verticals. Operate as a player-coach, actively engaging in strategic deals while developing team capabilities. Support complex, six-figure sales cycles with technical guidance, architecture, demos, and product evaluation support, as well as sales expertise. Serve as a trusted technical advisor and executive point of contact for large customers. Partner closely with Sales, Product, Marketing, and R&D to shape verticalized GTM motions and solution strategy. Champion a customer-obsessed culture across the pre-sales journey – from outbound to implementation. Lead discovery, design, and delivery of tailored technical solutions, including PoCs and business value assessments. Build reusable, scalable solution frameworks, and industry-specific technical assets. Advocate for customer needs and insights internally to influence product roadmap and prioritization. Represent Intercom and the SE function externally through executive meetings and strategic events. Foster strong relationships with C-level stakeholders, translating AI product capabilities into tangible business impact. What skills do I need? 5+ years of pre-sales experience as a Sales Engineer, Solutions Engineer/Architect, or related individual contributor role. Having 3+ years of experience leading technical pre-sales teams, with a proven track record of hiring, mentoring, and managing high-performing teams. Ideally, experience selling AI, data, or highly technical products; or at the very least, deep curiosity and utilization of AI on your day-to-day. Comfortable with ambiguity in environments with an ability to stay focused and thrive under pressure while working with customers to solve their most challenging issues. Have a humble attitude, and a passion to help others, with a willingness to learn whatever it takes to support the team and help our customers thrive. A track record of consistently delivering revenue numbers, producing accurate forecasts, while maintaining a focus on team development and growth Excellent communication and presentation skills The OTE salary range for candidates within the San Francisco Bay Area or NYC is $328,500-$392,375. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: New York City, NY | Seattle, WA; San Francisco, CA | New York City, NY 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 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 growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Agent Security's mission is to safely increase how much of the world's work agents can do, starting inside Anthropic. Claude now writes and ships code, runs experiments and acts on people's behalf, for hours at a time. How much more it can take on depends on how safely it can operate. If, in the worst case, an agent misbehaves, Anthropic and the public may bear the consequences. Our mandate is to mitigate this risk, and Anthropic’s mission depends on it. The Partnerships team pairs security engineers with the teams at Anthropic that build Claude, build agents and rely on agents. Those teams are our partners. When a team wants its agents to do more, we threat model the plan with them and build the controls together. Most of this has no playbook, so we have often created new controls from first principles. The ones that work become part of our toolbox, spread to other teams, and in some cases ship in our products. We're hiring an Engineering Manager to lead this team of security engineers. This is first and foremost a people leadership role. Few have secured agents at scale, especially at a frontier lab, so we don't expect you to have done it. We do expect you to have led security engineering teams, and we care most about how you lead people and reason about security. This role operates at the frontier. Each model generation, and each new harness, brings new challenges. The number of teams building on agents keeps growing, and partner teams won't always agree with your calls. In return, you will have the chance to directly contribute to making transformative AI go well, which is the heart of our mission. Key responsibilities Hire, mentor and grow senior and staff security engineers, and raise the bar as the team scales Set the team's investment strategy, deciding which teams get embedded engineers, and for how long, as demand outgrows the team Support the team through high-stakes safety and security calls made under uncertainty and on tight timelines Balance long-term investment in shared controls against partner teams’ immediate asks Deliver large security migrations across all of Anthropic Work through difficult tradeoffs with partner teams in ways that build trust and understanding Representative Projects In the past, the team has: Invented a new kind of classifier-based control for agents partnering with an internal team to develop and roll it out Co-built a sandbox with a product team, choosing what to enforce first so that adoption stuck Defined the security standards for running agents across the company and partnered with many different teams on how to hit these standards Minimum qualifications Excellent people management skills. You've hired, developed and managed senior and staff engineers, grown engineers into staff or lead roles, and kept a team delivering through changing priorities. Deep security management experience. You've managed security engineering teams and answered to executives for risk and tradeoffs. Strong written and oral communication skills. You've explained hard tradeoffs to executives and to engineers in plain words. Resilience, emotional awareness, low ego and high empathy Experience leading large migrations and highly cross-functional work A willingness to dive into the details to tie-break complex trade-offs without any clear answer, and the ability to stand by these decisions Preferred qualifications Experience embedding security engineers with product, infrastructure or research teams, or running a security partnerships team Agent security or AI/ML security experience Familiarity with AI safety concepts and research Leading in hypergrowth 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: $405,000 — $485,000 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: New York, NY Workplace: Remote We are looking for an Analytics Engineer to join a team dedicated to building the governed data foundation that powers decision-making across Talkiatry. You'll work alongside a collaborative team of engineers to design and maintain reliable, well-documented data models that stakeholders can trust and explore independently. ABOUT TALKIATRY: Talkiatry is transforming mental health care by making high-quality psychiatry more accessible, human, and sustainable for both patients and clinicians. Co-founded by a patient and a triple-board-certified psychiatrist, we were built to solve one of healthcare’s most urgent challenges: millions of people struggle to access mental health care, while clinicians face growing administrative burden and burnout. Through our technology-powered, in-network platform, we’re changing that, creating a better experience for patients and empowering clinicians to focus on delivering exceptional care. Today, Talkiatry is the largest dedicated psychiatry practice in the U.S., with 750+ psychiatrists, 250+ therapists, and more than two million patient visits delivered nationwide. At our scale, every innovation has real impact. Every workflow we improve, every technology solution we build, and every patient experience we redesign helps thousands of clinicians provide better care to hundreds of thousands of patients. We’re not just growing quickly — we’re redefining how behavioral healthcare is delivered in America. Joining Talkiatry means joining a mission-driven team that is solving complex problems at scale, driving meaningful change in healthcare, and building the future of mental health care with compassion, innovation, and purpose.   YOU WILL: - Build and maintain clean, scalable, well-documented data models using dbt, Snowflake, and Databricks that serve as the trusted foundation for decision-making across the org - Partner with stakeholders to understand business questions and translate them into governed, reusable data products — not one-off reports - Contribute to a self-service analytics environment where stakeholders can independently explore data through well-structured, reliable models - Adhere to and help evolve our data governance, data quality, and documentation standards - Support dashboard and reporting needs where appropriate, with an emphasis on enabling stakeholders rather than building on their behalf - Collaborate with data and engineering teams to ensure data products are integrated into the broader product and engineering development process from the start YOUR QUALIFICATIONS: - 2 to 3 years of experience in Analytics Engineering, Data Engineering, or a closely related role - Proficient SQL skills with a working understanding of data modeling concepts (star schema, slowly changing dimensions, grain) - Hands-on experience with dbt and a cloud data warehouse such as Snowflake or BigQuery - Familiarity with at least one BI or data exploration tool such as Omni, Looker, or Tableau - A bias toward building reusable, documented, and governed data products over ad hoc solutions - Exposure to working cross-functionally with non-technical stakeholders to understand business needs - Clear communication skills with the ability to explain data concepts and trade-offs to a range of audiences WHY TALKIATRY: - Top-notch team: we're a diverse, experienced group motivated to make a difference in mental health care - Collaborative environment: be part of building something from the ground up at a fast-paced startup - Excellent benefits: medical, dental, vision, effective day 1 of employment, 401K with match, generous PTO plus paid holidays, paid parental leave, and more - Grow your career with us: hone your skills and build new ones with our Learning team as Talkiatry expands Talkiatry participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. only after a job offer is accepted and Form I-9 is completed. For more information on E-Verify, please visit the following: EVerify Participation https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.e-verify.gov%2Fsites%2Fdefault%2Ffiles%2Feverify%2Fposters%2FEVerifyParticipationPoster.pdf&data=05%7C01%7Cjill.steger%40talkiatry.com%7Cfe829943872e4bc8dc7b08db83d3c99d%7C803a6c90ec724384b2c01a376841a04b%7C0%7C0%7C638248717875458398%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=qFgJNzh246Js%2FFqdsb9OZgN55rg5GpsB0wjiTvkPn9w%3D&reserved=0 & IER Right to Work https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.e-verify.gov%2Fsites%2Fdefault%2Ffiles%2Feverify%2Fposters%2FIER_RighttoWorkPoster.pdf&data=05%7C01%7Cjill.steger%40talkiatry.com%7Cfe829943872e4bc8dc7b08db83d3c99d%7C803a6c90ec724384b2c01a376841a04b%7C0%7C0%7C638248717875458398%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=ivUqrPtiBjGVkMzpMBSYalwvm2Zxhj%2BScqVUX2OfqUA%3D&reserved=0. At Talkiatry, we are an equal opportunity employer committed to a diverse, inclusive, and equitable workplace and candidate experience. We strive to create an environment where everyone has a sense of belonging and purpose, and where we learn from the unique experiences of those around us. We encourage all qualified candidates to apply regardless of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status.

Location: United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. The STEM Horizontal team produces the high-signal coding and STEM data frontier labs train on. We're looking for a Research Engineering Manager to lead the research engineering behind its next layer: synthetic data that measurably improves models, and new benchmarks that measure what today's evals miss. You'll lead a team of research engineers, work side by side with research scientists, and stay close enough to the code to review an eval harness line by line or prototype a generator yourself when the team needs it. You'll also build the team : hiring research engineers is a core part of this role, not a side task. Ideally you've been on the other side, at a frontier lab, and know what makes a lab trust a dataset or a benchmark result. Synthetic data that earns its place. Generation, verification, and filtering pipelines where every sample is checked, and where we can show which properties of the data drive downstream gains, not just how much of it we made. Benchmarks that stay meaningful. New evaluations for capabilities current benchmarks miss, built with calibrated difficulty, contamination controls, and statistics strong enough that a lab can make a decision on the result. Quality failures here are quiet. A subtle bug in a verifier doesn't crash anything; it ships thousands of wrong labels into someone's training run and costs weeks. If you want to build the team and the systems that catch that early, this is the seat. What You'll Do 1. Build and Lead the Team Build the team: define the profiles you need, run hiring, and grow research engineers selected for research taste as much as engineering rigor. Run the team's operating rhythm: project selection, planning, experiment reviews, design docs, and clear ownership. Coach engineers on experimental design, code quality, and presenting results; give direct, regular feedback and run fair performance cycles. Define the standards the team works to: eval methodology, data quality bars, and reproducibility — every dataset and result can be regenerated from a commit, a config, and a seed. 2. Partner with Research Scientists Turn hypotheses into experiment plans together: what we're testing, the baseline, the ablations, and the result that would change our minds. Set the agenda with research scientists. You're expected to bring your own hypotheses, not only implement theirs. Take research prototypes to production scale without losing the scientific intent. 3. Build Synthetic Data Systems at Scale Own synthetic data pipelines that generate, verify, filter, deduplicate, and version data, combining programmatic generators, LLM-based generation, automated verifiers, and targeted expert review. Judge data by its effect on models : ablations and fine-tuning or RL experiments that show which attributes (difficulty, diversity, correctness, coverage) drive gains. Build quality systems that hold up at volume: gold sets, LLM-judge calibration against expert labels, sampling audits, and agreement metrics. 4. Create New Benchmarks and Evaluations Find where frontier models fail and where existing benchmarks have saturated, and design evaluations that measure what's missing . Own benchmark methodology end to end: task taxonomy, difficulty calibration, graders and verifiers, contamination controls, held-out splits, and confidence intervals. Ship eval harnesses , including agentic and sandboxed-execution evals, that are deterministic, reproducible, and trusted by internal teams and partner labs. Make the call on whether a result holds up: partner labs and internal teams act on your sign-off. Publish benchmarks, datasets, and findings with our research scientists at venues such as NeurIPS, ICML, and ICLR. 5. Stay Hands-On and Work with Frontier Labs Write code every week on the hardest, highest-leverage parts: core verifier logic, eval statistics, the pipeline component everything else depends on. Expect a third or more of your time on direct technical work. Be the person the team brings its hardest debugging and methodology questions to: why a judge disagrees with experts, why an eval number moved, whether a gain is real or noise. Act as a technical counterpart to researchers at frontier AI labs: scope requests, set acceptance criteria, and explain results and trade-offs plainly. Partner with Strategic Project Leads, delivery, and engineering teams so research advances land in client work and in the platforms the team builds. Sample Projects Identify a capability gap, design and ship a benchmark for it, and see it adopted by partner labs. Stand up a synthetic data pipeline for long-horizon coding tasks with execution-based verifiers, and run the ablations that show which task properties drive RL gains. Calibrate an LLM-judge grading system against expert labels, map where it fails, and decide where humans stay in the loop. Design the experiment that tells a partner lab whether a two-point gain on their eval is real. Decide which of three competing synthetic data approaches the team should bet on, and design the experiments that settle it. Tech Stack Research: Python · PyTorch or JAX · SFT · DPO · PPO / GRPO · RL with verifiable rewards Evals & data: LLM-as-judge · programmatic verifiers · sandboxed execution · gold sets · contamination checks Platform: Python services (Django / FastAPI) · PostgreSQL · Docker · Terraform · AWS or GCP What We're Looking For Experience: 8+ years of hands-on ML or research engineering, at least 5 in industry, including 3+ years directly managing research engineers, ML engineers, or researchers (hiring and performance management included). Synthetic data at scale: you've owned synthetic or curated data pipelines in production whose output drove training decisions , and can show how you measured their quality and downstream impact. Evaluation rigor: you've designed and shipped LLM evals or benchmarks that others used to make model decisions, and understand contamination, saturation, judge bias, inter-annotator agreement, variance, and confidence intervals. Experimental judgment: you plan ablations up front, choose baselines honestly, and can tell a real effect from noise. Technical depth: strong Python; production experience with PyTorch or JAX; working knowledge of the post-training stack (SFT, DPO, PPO/GRPO, RL with verifiable rewards). Technical direction: a track record of setting direction for a team, not only executing a roadmap handed to you. Scale: distributed data processing and large evaluation or training jobs (e.g., Ray, Spark, Kubernetes) on AWS or GCP. Communication: clear written communication for scientists and non-specialists alike; comfortable presenting results to researchers at partner labs. AI-forward: daily use of LLM coding tools (Claude Code, Cursor, Copilot) as part of how you ship, with the judgment to review their output critically. This is a must-have. Education: PhD or Master's degree in AI, machine learning, computer science, statistics, or a closely related field; PhD preferred. Exceptional equivalent research experience will also be considered. We weigh industry outcomes most heavily. Strongly Preferred Frontier AI lab experience: post-training data, evals, or reward modeling at a frontier lab (e.g., OpenAI, Anthropic, Google DeepMind, Meta, xAI) or a top industry research group. Built or contributed to a public benchmark or dataset the community uses. Nice to Have First-author papers at NeurIPS, ICML, ICLR, ACL, EMNLP, or similar. RL environment and verifier design for agentic tasks: coding agents, tool use, computer use, long-horizon workflows. Data valuation or attribution: measuring what each slice of data contributes to a model. Depth in a STEM domain such as math, physics, chemistry, or biology (not required). Experience managing tech leads or managers, or running several concurrent programs. Directing large expert networks through specs, rubrics, and fast feedback loops. A note from our CTO, Ece Kamar Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training, evaluation, and synthetic data. Build the datasets and benchmarks that improve and measure the capabilities of advanced AI systems. Shape how frontier labs measure progress on coding and STEM reasoning. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. Compensation $260,000 to $350,000 + Equity Don't meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive, and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: Arizona - Remote; Arkansas - Remote; Kansas - Remote; Missouri - Remote; Oklahoma - Remote; 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 Olsson is seeking a Senior Engineer on our Federal Engineering and Design Team. In this role, you’ll help shape critical infrastructure projects that support military bases, VA campuses, and other essential government facilities. You’ll be part of a high-performing, collaborative team delivering innovative civil engineering solutions that meet rigorous federal standards and exceed client expectations. Acting as lead design engineer, you will spearhead some of the firm’s most demanding projects. Responsibilities include preparing planning and design documents, performing design calculations, developing and maintaining team and client standards, and overseeing quality assurance/quality control efforts. You’ll also advise on complex technical challenges and coordinate closely with Olsson teams, clients, and consultants throughout the project lifecycle. This position may involve travel to job sites for observation and client meetings and offers the opportunity to contribute meaningfully to Olsson’s growing federal portfolio. Key Responsibilities Oversee and guide complex civil design efforts for federal projects, including grading, drainage, utilities, and site layout, ensuring technical excellence and regulatory compliance. Serve as technical lead or project manager on high-profile federal assignments, driving scope, schedule, and budget alignment across multidisciplinary teams. Review and approve planning documents, design calculations, and technical specifications, ensuring consistency with federal standards such as UFC, DoD, and VA requirements. Mentor and support junior engineers, fostering technical growth and promoting best practices in design, documentation, and client engagement. Lead quality assurance/quality control (QA/QC) processes, providing strategic oversight and resolving complex design challenges. Coordinate with internal teams, clients, and external consultants, ensuring seamless communication and integrated project delivery. Contribute to strategic proposal development, shaping winning responses to federal RFPs and expanding Olsson’s federal portfolio. Represent Olsson in client meetings and site visits, offering expert guidance from concept through construction and ensuring client satisfaction. Preferred Qualifications Bachelor’s or Master’s degree in Civil Engineering. Professional Engineer (PE) license is required. Minimum 8 years of experience in civil/site design, ideally with federal clients. Proficiency in Civil 3D and other relevant design software. Deep understanding of DoD, VA, and federal design standards and processes. Exceptional communication skills and proven ability to coordinate complex projects. Why Join Us Contribute to projects that serve national interests and make a difference in communities. Flexible work arrangements, including remote options. Enjoy flexible work arrangements, including remote options, to support your work-life balance. Thrive in a supportive culture that values professional development and teamwork. At Olsson, your expertise drives progress on projects that matter. If you’re passionate about federal civil engineering and ready to elevate your career, we want to hear from you. #LI-HO1 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: Arizona - Remote; Kansas - Remote; Missouri - Remote; Nebraska - Remote; Oklahoma City, OK; 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 We are seeking an Associate Engineer to join our Federal Engineering and Design Team. In this role, you will assist with the design efforts for federal projects, including grading, drainage, utilities, and site layout. You will coordinate with experienced engineers and designers, gaining exposure to federal standards such as UFC, DoD, and VA requirements, and enhance your skills in design and modeling software. This position offers hands-on experience and the chance to contribute meaningful work to Olsson’s federal portfolio. Key responsibilities: Provide small-scale design elements for federal engineering projects using standard techniques and established methods. Perform basic plan production and technical tasks under the guidance of senior engineers. Develop and apply knowledge and experience in designing and modeling software for engineering solutions. Assist with project schedules, engineering calculations, and preparation of construction documents. Gather research, recommend solutions, and create drafts of technical reports. Gain experience with creating and maintaining project and client information within the firm’s project management system. May travel and work in various terrains and weather conditions at project sites in different stages of construction. Why join us: Contribute to projects that serve national interests and make a difference in communities. Enjoy flexible work arrangements, including remote options, to support your work-life balance. Thrive in a supportive culture that values professional development and teamwork. Qualifications You are passionate about: Working collaboratively with others. Having ownership in the work you do. Using your talents to positively affect communities. Preferred qualifications: A minimum of one year of engineering experience. Bachelor’s degree in civil engineering or a related engineering field. Possesses Engineer-In-Training (EIT) certification. Working knowledge (or ability to become proficient) in relevant technologies (e.g., Civil 3D). Strong communication skills. Ability to contribute and work well with a team. Excellent interpersonal and problem-solving skills. Willingness to travel and work in field conditions as needed. Solid interpersonal, problem-solving, and decision-making skills. At Olsson, your expertise drives progress on projects that matter. If you’re passionate about federal civil engineering and ready to elevate your career, we want to hear from you. #LI-HO1 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: India - Remote Chainguard is the trusted source for open source. By delivering hardened, secure, and production-ready builds of all the open source software engineers and AI agents rely on, Chainguard helps organizations build faster, stay compliant, and eliminate risk. Our customers include Fortune 500 enterprises and global industry leaders, including Anduril, Canva, Fortinet, Hewlett Packard Enterprise, OpenAI, Snap Inc., and Snowflake. Chainguard is venture-backed by leading investors, including Amplify, IVP, Kleiner Perkins, Lightspeed Venture Partners, Mantis VC, Redpoint Ventures, Sequoia Capital, and Spark Capital. The role, in a nutshell: We’re looking for a Senior Technical Support Engineer who’s equal parts problem-solver, translator, and customer hero. You’ll be the go-to person when customers hit snags with Chainguard Images, digging into technical mysteries, keeping folks informed, and partnering with Engineering to squash bugs before they cause chaos. This isn’t just “reset the password and move on” support: you’ll work on real, complex issues with modern tools (Docker, Kubernetes, GitHub, Helm charts, Terraform, etc.), make customers feel like superheroes themselves, and help shape how Chainguard delivers world-class support. Serious work, fun team, big impact. What you’ll do: Be the frontline agent: Triage, investigate, manage, and annihilate complex customer issues involving Chainguard Images. Escalate wisely: Engage the Engineering team when things get spicy. Communicate like a pro: Keep customers (and your SLAs) happy, informed, and impressed. Bridge the tech lingo divide: Explain things clearly to both code whisperers and non-tech humans. Document like a librarian: Create detailed write-ups of new issues and throw helpful Knowledge Base nuggets into the mix. Channel your inner detective: Prioritize your own queue, drive clarity in communication, and proactively guide issues to resolution. Speak up smartly: Push bugs, feature requests, and hidden gremlins up to Engineering and GTM teams. Learn, teach, repeat: Seek new challenges, share wisdom, and maybe teach someone your favorite GitHub ninja trick. Be there when it counts: Participate in an on-call rotation for after-hours, weekend, and holiday support. What we're looking for: You’ve spent 3+ years supporting enterprise customers with a confident, calm approach. 2+ years under your belt with Linux, Docker and Kubernetes.  You dream in containers. You deliver top-tier customer experiences with stellar written and verbal communication. You're a cross-functional harmony maker supporting teams across Engineering, Customer Success, and more. You're comfortable in the DevOps warzone: CI/CD, Linux, GitHub, Helm Charts, Terraform, Open source and all the good stuff. Experience with AWS, Azure, or GCP; AWS EKS experience is a plus. Extra kudos if you’ve flirted with security frameworks, software supply chain security, or vulnerability scanning. Extra kudos if you bring CKA, CKAD, CKS or KCSA certs and aspire to be a future Kubestronaut. Startup experience? Even better.  You’ve navigated fast lanes before. A curious soul who learns faster than a caffeinated squirrel. You hold a bachelor’s degree (STEM preferred) or have equivalent battle scars from the real world. About Us We live and breathe our company values: We are customer obsessed — We focus on delivering solutions to our customers that create value and make their lives better. We have a bias for intentional action — We prioritize, plan, try things, and fail fast. We don't take ourselves too seriously (but we do serious work) — We are solving an important problem which takes focus, but we also like to enjoy the journey. We trust each other and assume good intentions — We're transparent with decisions to empower team members to make well informed decisions. A few of the benefits we offer: Flexible & Remote-First Culture: Work remotely with team meetup opportunities, bi-annual destination summits, and a monthly stipend for coworking spaces, phone and internet costs. Our Approach to Equity: Receive stock options upon hire and promotion. Plus, you can participate in secondary offerings and have 10 years to exercise your options (yes, you read that correctly: 10 years!). 100% Covered Health Insurance: We cover 100% of your health, vision and dental insurance premiums for you and your dependents. Nothing comes out of your paycheck. ∞ Flexible Time Off: Take the time you need – to do our best work, we need to recharge and reset. 18 Weeks Paid Parental Leave: We offer 18 weeks for birthing parents and 12 weeks for non-birthing parents, with the option to use it all at once or throughout your child's first year. If your experience is close but doesn't fulfill all requirements, please apply. We're building the best team in technology and are focused on hiring "Chainguardians" with unique backgrounds, perspectives, and experiences. Chainguard is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. By submitting your application, you acknowledge that Chainguard will process your personal data in accordance with Chainguard's Global Candidate Privacy Notice . ©2026 Chainguard. All Rights Reserved.