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Location: Dammam, Saudi Arabia; Al Jubail, Saudi Arabia We are seeking a Metallurgy Engineer to join our Mechanical Services Shops. Mechanical Services Shops is responsible for providing rotating and static equipment repair and fabrication of components. Your primary role is to provide materials and metallurgical engineering support for component fabrication, repair, qualification, and failure prevention. You will establish material requirements, evaluate microstructure and properties, select processing routes, resolve degradation mechanisms, and ensure materials are fit for oil and gas service. Key Responsibilities As the successful candidate you will be required to perform the following: · Material Selection & Specification: Select metals, alloys, heat treatments, coatings, and acceptance requirements based on strength, toughness, temperature, corrosion, wear, and manufacturability. · Material Characterization: Plan and interpret metallography, microstructure, hardness, tensile, impact, fracture, corrosion, and coating examinations to confirm material condition. · Fabrication & Repair Support: Provide metallurgical control for casting, forging, welding, cladding, additive manufacturing, machining, heat treatment, and repair qualification. · Failure & Damage Analysis: Investigate cracking, corrosion, erosion, embrittlement, creep, fatigue, wear, overheating, and fabrication defects; identify root cause and recommend corrective action. · Technical Governance: Develop material specifications and test plans, review certificates and deviations, qualify procedures, issue technical reports, and mentor personnel. Requirements You will hold a Bachelor's degree in Metallurgical Engineering, Materials Engineering, or Materials Science from a recognized and approved program; a Master's degree or PhD is preferred. You will have at least 15 years of metallurgical or materials-engineering experience, including a minimum of 8 years supporting industrial manufacturing, repair, or failure analysis. Strong expertise in ferrous and nonferrous metallurgy, phase transformations, heat treatment, welding metallurgy, corrosion, fracture, fatigue, and wear is required. Demonstrated experience with metallography, microstructure evaluation, material characterization, mechanical testing, and failure-analysis reporting is necessary. Ability to translate service conditions and damage mechanisms into material, process, inspection, and acceptance requirements is required. ASM professional materials credentials, AMPP/NACE corrosion training, or equivalent recognized certification is preferred.

Location: Remote: United States Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE Render is looking for a Staff Developer Relations Engineer to grow usage and word of mouth for Render among developers building full-stack and AI applications. You'll be Render's technical face on stage, in workshops, at meetups, and in the developer and AI ecosystems where our users build. DX at Render has two halves. DX Engineering builds and maintains Render's tutorials, sample apps, templates, and video library. DevRel takes Render to developers in person and through the communities and partners they trust, then brings what it hears back into the product. You'll set the technical bar and direction for DevRel, and you'll be the person developers and partners go to for a deep, candid answer about running AI workloads on Render. You'll build the demos and workshop material behind your own talks. When something you build deserves a long life, DX Engineering turns it into a maintained example or template. This is a remote role within the US, with the option to work out of our headquarters in San Francisco. Expect regular travel for conferences and events. WHAT YOU'LL DO - Represent Render at conferences, meetups, hackathons, podcasts, and livestreams, with talks and live demos on building and running AI agents and full-stack apps. - Design and run hands-on workshops and hackathons, from the curriculum to the technical setup behind them. - Set DevRel's technical direction: pick the communities, ecosystems, and events worth investing in, and define what good looks like for talks, workshops, and demos. - Be the technical counterpart for ecosystem partners such as AI frameworks, agent tooling, and open source projects: joint workshops, co-hosted events, and the integrations worth building together. - Go deep in technical communities on GitHub, X, Discord, Reddit, and Hacker News. Answer hard questions, debug real deployments, and show up where Render has a credible voice. - Run the developer feedback loop. Turn what you hear in the field into clear, prioritized input for Product and Engineering, and follow it through until it ships. - Help Render's highest-potential developers and startups go further on the platform through technical deep dives and architecture reviews, and turn them into champions who talk about Render in their own communities. - Raise the bar for the DevRel team through talk reviews, demo reviews, and your own work. - Track impact through activation from events and workshops, community engagement, partner-driven adoption, and the product changes you drove. WHAT WE'RE LOOKING FOR - 8+ years in developer relations, solutions engineering, or software engineering, including at least 3 years in a developer-facing role at a developer tools, cloud, or infrastructure company. - A track record on stage: talks at recognized developer conferences, and workshops you designed and ran yourself. - Experience setting direction for a developer relations program: choosing where to invest, measuring what worked, and changing course. - Hands-on fluency with AI agents: tool calling, MCP servers, LLM APIs, and agent frameworks. You can build a working agent app live and explain what it needs to run in production, such as long-running tasks, sandboxed code execution, and retries. The field is young, so we look at what you've done recently. We don't expect years of experience in it. - The engineering depth to be credible with senior engineers. You can deploy a multi-service app, read logs, trace a failed deploy, and find the root cause in front of an audience. - Working knowledge of cloud infrastructure: containers and Docker, networking basics, CI/CD, environment configuration, and infrastructure as code. - You use coding agents like Claude Code, Codex, or Cursor every day and keep up with the agent ecosystem as it changes. - Examples of developer feedback you turned into product changes: what you heard, the case you made, and what shipped. - Excellent spoken and written communication. You can hold a room of engineers and explain a complex system clearly. NICE-TO-HAVES - Existing relationships in AI framework, agent tooling, or open source communities. - An existing developer audience through talks, livestreams, a newsletter, or social. - Experience starting or growing in-person developer meetups. - Experience with durable workflows, background job systems, or sandboxed code execution. - You've used Render before, professionally or on side projects. PROJECTS YOU MIGHT WORK ON - A workshop on deploying production agents with Render Workflows, run at a major AI conference and then at our own meetups. - A hackathon co-hosted with an AI framework partner, including the starter kit and the technical support on the day. - The talk track for an upcoming launch, delivered by you and the rest of DevRel. - A recurring field report for Product on where developers get stuck running agents on Render. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: San Francisco, CA | New York City, NY; Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's go-to-market teams are scaling quickly, and the decisions they make, from who to sell to and how to cover them to where to invest next, are only as good as the intelligence and infrastructure underneath them. As a Data Engineer on the GTM Systems data foundations team, you'll help build that layer: the data products that give sellers, operators, and analysts a rich, current, and trusted picture of the market, and the engineering rigor that lets our GTM systems run reliably as the business grows. This is an engineering role that goes beyond pipelines. You'll treat GTM data as a product and a platform: built once, kept current, and available wherever people work. Alongside the build, you'll help shape what the data means: how attributes are defined, which sources are trusted, and how the business puts them to use. The role sits at the intersection of the sales organization, the data organization, and the systems that data flows through. You'll partner closely with Sales Strategy and Operations, Finance, Data Science, and the central data engineering team. Key responsibilities Bring disparate internal and external sources together: orchestrate, model, and normalize first-party product and revenue data alongside third-party data into one usable understanding of the company landscape Build and maintain identity and entity resolution, so every source attaches to one trusted record for each company and the relationships between companies are clear Help build the canonical layer where key attributes are defined once and mean the same thing everywhere, with clear sourcing logic, provenance, and freshness Turn data into intelligence: scores, signals, and AI-generated attributes that help GTM teams prioritize and act, held to the same quality bar as any other source Deliver that intelligence to the surfaces where teams work, including the CRM, and bring production discipline to how data moves through those systems Operate what you build as a living system, with observability, data quality, cost, security, and access controls designed in, so problems surface before the field sees them Partner with the owners of GTM processes such as planning, segmentation, and routing to settle definitions, make clear commitments, and communicate tradeoffs Make the platform easy for other teams to build on, so work is contributed once and not rebuilt in silos Minimum qualifications Experience as a data engineer or analytics engineer building and operating production pipelines and data models Strong SQL and Python, and experience with modern transformation and orchestration tooling on a cloud data warehouse Experience making messy data from many sources usable, including record matching, deduplication, and reconciling conflicting values Familiarity with go-to-market data and the CRM systems it flows through Judgment beyond the pipeline: weighing data sources, shaping definitions with business partners, and making calls on data quality Clear written and verbal communication with technical and non-technical partners Regular hands-on use of AI tools in your engineering work Preferred qualifications 5+ years of experience in data engineering, analytics engineering, or GTM data roles Experience building a shared data product or platform that several teams depend on and contribute to Experience with company data such as firmographics, corporate hierarchies, or master data management Experience using LLMs inside data pipelines and evaluating their output Hands-on Salesforce experience, including working at large data volumes Experience supporting GTM planning processes such as territory design, segmentation, or scoring 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: $270,000 — $345,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco At Perplexity, we're changing how the world finds answers. In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to turn knowledge into action, and behind all of that is the technology infrastructure that keeps a fast-moving company running. We're looking for an IT Engineer who is early in their career and wants to learn and grow quickly. You'll join a small, high-impact IT team and help build the systems and automations that keep everyone moving. We want someone who ramps fast, reaches for AI first and doesn't wait to be told what to fix. You'll use AI tools daily to build a world-class AI-native IT platform. This role is hybrid at our San Francisco office. What you'll do: • Use Perplexity's Computer to build foundational AI automations, custom skills, and workflows that run IT at scale. • Instrument and tune our agentic IT ticketing system: spot trends, track KPIs, and engineer agent behavior to resolve requests quickly. • Give employees great day-to-day IT support, in person and remotely, across hardware, accounts, and SaaS apps. • Build and promote self-service tools across the company. • Contribute to IT projects across endpoint management, identity and access management (IAM), and our IT back end. Qualifications: • 3+ years of experience in IT help desk and systems administration, ideally in a fast-growing startup. • Experience with macOS and Google Workspace. • Experience with Google Workspace, Okta, ideally Okta Workflows • Experience using AI coding tools and scripting languages like Bash or Python. • Familiarity with MDM like Iru or Intune is a plus. • A methodical approach to root-cause troubleshooting and strong interest in automating away repetitive tasks. • Clear, friendly communication and enjoyment in helping people.

Location: San Francisco At Perplexity, we're changing how the world finds answers. In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to turn knowledge into action, and behind all of that is the technology infrastructure that keeps a fast-moving company running. We're looking for an IT Engineer who is early in their career and wants to learn and grow quickly. You'll join a small, high-impact IT team and help build the systems and automations that keep everyone moving. We want someone who ramps fast, reaches for AI first and doesn't wait to be told what to fix. You'll use AI tools daily to build a world-class AI-native IT platform. This role is hybrid at our San Francisco office. What you'll do: • Use Perplexity's Computer to build foundational AI automations, custom skills, and workflows that run IT at scale. • Instrument and tune our agentic IT ticketing system: spot trends, track KPIs, and engineer agent behavior to resolve requests quickly. • Give employees great day-to-day IT support, in person and remotely, across hardware, accounts, and SaaS apps. • Build and promote self-service tools across the company. • Contribute to IT projects across endpoint management, identity and access management (IAM), and our IT back end. Qualifications: • 3+ years of experience in IT help desk and systems administration, ideally in a fast-growing startup. • Experience with macOS and Google Workspace. • Experience with Google Workspace, Okta, ideally Okta Workflows • Experience using AI coding tools and scripting languages like Bash or Python. • Familiarity with MDM like Iru or Intune is a plus. • A methodical approach to root-cause troubleshooting and strong interest in automating away repetitive tasks. • Clear, friendly communication and enjoyment in helping people.

Location: Toronto; Canada; Vancouver; Ottawa; Montreal Workplace: Hybrid WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ABOUT NORTH: North https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. WHY THIS ROLE? This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. Our esteemed clients include industry leaders like RBC, Dell, and LG CNS. We are seeking engineers who deeply care about customers and want to work at the cutting edge of Agentic AI. In this role, you will: - Lead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout. - Partner with enterprise IT teams to assess infrastructure, security requirements, and data management practices. - Experiment at a high velocity and with a high level of quality to engage our customers and ultimately deliver solutions that exceed their expectations - Design and implement deployment strategies tailored to client needs, ensuring compliance with data privacy and security standards. - Troubleshoot and resolve deployment-related technical issues, providing timely solutions to minimize downtime. You may be a good fit if: - You have experience with and enjoy working directly with customers - You have experience deploying enterprise software in private/hybrid cloud environments - You have proven experience administering production Kubernetes clusters and expertise with Helm - Familiarity with DevOps practices, CI/CD pipelines, and tools like Git for version control - You have strong expertise in cloud infrastructure (Azure, AWS, GCP), networking, and virtualization - You excel in fast-paced environments and can execute while priorities and objectives are a moving target FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

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 $251,100-$299,925. 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: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. About the Role Cloudflare’s API Experience team builds the tools and standards that make our API dependable and easy to use. We maintain SDKs and our Terraform provider, build code generation tooling, and are developing API versioning. We’re looking for a senior engineer who cares about the details developers live with: clear interfaces, predictable behavior, useful errors, and upgrades that don’t break their code. You’ll work across languages and teams, help internal engineers ship better APIs, and respond directly to customers. Their feedback will help shape what you build. Responsibilities Build and maintain our SDKs, Terraform provider, and the code generation tooling behind them. Develop API versioning and compatibility practices that let our API evolve without leaving customers behind. Improve API governance: consistent schemas, clear standards, and checks that catch problems before release. Support internal teams daily and work directly with customers to investigate issues and turn recurring friction into lasting improvements. Own projects from design through release and ongoing maintenance. Desirable Skills, Knowledge, and Experience 5+ years of experience building large-scale software applications. Deep Go expertise, with experience building and maintaining production software. Fluency across languages such as TypeScript and Python, and an understanding of what makes a library feel natural in each. Experience building, maintaining, or contributing to a Terraform provider. Experience shipping SDKs or client libraries, including testing, releases, dependency management, and backward compatibility. Well-reasoned opinions about API design and developer tooling, paired with the ability to listen, explain tradeoffs, and make practical decisions. Strong technical judgment built through experience: you can untangle complex problems, set a clear direction, and lead projects from early design through delivery. A track record of helping junior engineers grow through thoughtful feedback, mentoring, and opportunities to take ownership. Experience using AI and automation to improve engineering workflows, with the judgment to identify where they add value and verify the quality of their output. Bonus Points Experience versioning an API, building schema-driven code generators, or establishing API governance is especially valuable. We’re interested in what you’ve built, how you’ve maintained it, and what you’ve learned from the people using it. Experience managing containerized workloads at scale using Kubernetes, Docker, or similar orchestration platforms. Familiarity with CI/CD pipelines and automated testing strategies for infrastructure. Contributions to open-source systems software projects or active participation in the broader systems engineering community. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: New York City Office Workplace: Hybrid Allara https://www.allarahealth.com is a comprehensive women’s health provider that specializes in expert, longitudinal care that supports women through every life stage. Trusted by thousands of women nationwide, Allara makes expert healthcare accessible by connecting patients with multidisciplinary care teams that have a deep understanding of hormonal, metabolic, and reproductive care. Allara provides ongoing support for hormonal conditions like PCOS, chronic conditions like insulin resistance, and life stages like perimenopause, helping patients see improved health outcomes https://cdn.prod.website-files.com/637f55cdd2e0aa051d497c52/68e6aa0f8fcce5c60e922219_Outcomes%20Impact%20Report%202025%20Web%20Display.pdf. As one of the fastest-growing women’s health platforms in the U.S., Allara is bridging long-overlooked gaps in healthcare for women. THE OPPORTUNITY Allara is hiring its first Director of Data to build the backbone of how the company collects, models, governs, and uses data. Reporting to the VP of Engineering, this is a hands-on leadership role: in your first months you will be in the pipelines yourself, cleaning up our ETL, consolidating duplicated logic, and closing gaps in our source data. Over time you will define and drive the company's longer-term data strategy, set the standards the rest of the organization builds on, and grow the data function as Allara scales. This is a player-coach role, senior enough to own strategy and still happy to get the pipelines right yourself, and the hands-on work comes first. Location: Hybrid (NYC). We value in-person collaboration and aim for at least three days per week in our NYC office, with flexibility as needed. YOUR IMPACT - Make Allara's data trustworthy, so every team can make decisions on numbers they believe. - Turn a fragmented, duplicated data setup into one reliable source of truth with traceable lineage. - Define the data strategy that lets Allara scale its use of data, from AI-assisted analysis across departments and leveraging health data to drive better outcomes. - Build and lead the data engineering function over time. - Partner with Product, Growth, Finance, Strategy, and Clinical as the owner of the shared data platform and standards. RESPONSIBILITIES First 6 to 12 months (hands-on) - Clean up the pipelines. Audit our existing ETL across Fivetran and Mozart into Snowflake, stabilize reliability and freshness, and fix the brittle parts the business has learned to work around. - Consolidate duplication. Collapse duplicated models, metrics, and transformation logic into a single, well-documented modeling layer, so there is one definition of each number rather than several that disagree. - Close source-data gaps. Map what we collect against what the business needs and close the gaps across our systems. - Make the data trustworthy. Stand up data-quality testing, monitoring, and alerting. - Establish one source of truth. Define a canonical metric and semantic layer Ongoing (strategy and ownership) - Own the data strategy. Shape how Allara collects, models, governs, and uses data as the company scales, and advises leadership on tooling, investments, and build-versus-buy decisions. - Own governance and compliance. Own data governance, access control, and PHI and PII handling appropriate for a HIPAA-covered healthcare environment. - Own the shared platform. Serve departmental stakeholders and data analysts, as the owner of the platform and standards they build on, and enable trustworthy self-serve analytics. - Own AI-ready data. Own the shared, AI-ready data layer and the canonical terminology definitions and skills that power AI-assisted analysis across departments. - Build the team. Hire, mentor, and lead the data engineering function over time, setting the technical bar and the practices the team works by. REQUIRED QUALIFICATIONS - 8+ years in data engineering or analytics engineering, including direct, recent ownership of production ETL and warehouse modeling. - Strong SQL and a cloud warehouse (Snowflake preferred), ETL tooling, and a transformation and modeling layer. - A proven track record of taking over brittle, duplicated, or undocumented pipelines and turning them into reliable, documented, trusted data. - Strong data modeling fundamentals and a real bias toward a single source of truth. - Experience designing data governance and handling sensitive data, with comfort around security and access control in a regulated environment. PREFERRED QUALIFICATIONS - Healthcare or HIPAA experience, including familiarity with EMR data (FHIR) and claims. - Experience with D2C growth metrics - Experience with Amplitude and product event taxonomy, and enabling AI or LLM-assisted analytics such as semantic layers, metric catalogs, or Claude skills. - Experience building and managing a data team at a high-growth startup (Series B to D). Having these would be advantageous over candidates lacking these qualifications and would potentially allow the candidate to have a greater and/or more immediate impact on the role.     What Allara Offers Compensation & Career Growth - $220,000-$250,000 with opportunities for advancement - Equity - Professional development & employee learning programs Actual compensation will be determined based on a variety of factors, including but not limited to: candidate experience, location, education, certifications, and skill set. In addition to base salary, our total compensation package includes equity, comprehensive health benefits (medical, dental, vision), generous paid time off, and additional wellness and professional development perks. Work Environment & Flexibility - 100% remote within the U.S./or 3-day hybrid in NYC - Unlimited PTO & 11 company holidays/ or L1 offerings Health & Wellness - Medical, dental, and vision benefits - Health Savings Account (HSA) & Flexible Spending Account (FSA) - Long- and short-term disability coverage - Annual employee wellness stipend Family & Future Planning - 401(k) plan - Parental leave & family planning support benefits Additional Perks - Company-issued laptop - Annual work-from-home stipend - Commuter benefits (if applicable) - A collaborative, mission-driven culture focused on improving patient care At Allara https://www.allarahealth.com/, we believe in celebrating everything that makes us human and are proud to be an equal-opportunity workplace. We embrace diversity and are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better we can serve our members. We’re an Equal Opportunity Employer and do not discriminate against candidates or patients based on race, color, gender, sexual orientation, gender identity or expression, age, religion, disability, national origin, protected veteran status, or any other status protected by applicable federal, state, or local law.

Location: EMEA - Remote Workplace: Remote ABOUT POLYGON LABS Polygon Labs is a global blockchain payments company building and operating infrastructure to move money instantly, reliably, and at internet scale, with the mission to move all money onchain. It is building the Polygon Open Money Stack, an open and integrated stack of services and technologies to instantly and reliably move money anywhere, and put it to work. Its infrastructure has facilitated trillions of dollars in onchain value transfer and supported millions of transactions daily for some of the globe's largest banks, fintechs, enterprises, and consumer applications. YOUR ROLE You will independently execute defined infrastructure work that keeps Polygon's production systems reliable, secure, and operationally efficient. This role is hands-on and operational, with a focus on cloud infrastructure, Kubernetes, infrastructure as code, observability, incident response, and the secure lifecycle of secrets and configuration across services. You will work core hours overlapping with the EU business day and contribute as a trusted infrastructure partner, including reviewing and approving infrastructure changes and supporting production systems through incidents and continuous improvement. YOUR RESPONSIBILITIES - Operate production Kubernetes environments on GKE, including day-to-day cluster operations, troubleshooting, maintenance, and reliability improvements. - Build and maintain infrastructure as code using Pulumi, including Pulumi ESC for environments, secrets, and configuration, primarily in TypeScript and Python. - Manage GitOps workflows with ArgoCD and maintain reliable CI/CD pipelines, including diagnosing pipeline-level race conditions. - Operate GCP infrastructure across IAM, Pub/Sub, Cloud SQL, VPC, and Secret Manager. Tune Pub/Sub subscriptions through settings such as acknowledgement deadlines, dead-letter queue redrive behavior, and backlog alerting. - Manage Cloudflare entirely as code, including Workers and DNS, and maintain lifecycle cleanup for stale preview environments. - Own the secrets and configuration lifecycle across services, including provisioning, rotation, naming conventions, and preventing cross-service authentication drift. - Respond independently to production incidents through triage, escalation, documentation, runbooks, and incident.io http://incident.io workflows. - Review and approve infrastructure pull requests, helping maintain a high standard for safety, correctness, and operational readiness. - Build and maintain Grafana dashboards and alerts, with working knowledge of the underlying agent and collector layer, including Grafana Alloy. - Execute SOC2-driven infrastructure and security work and maintain appropriate separation between regulated or sensitive-data environments. - Read and contribute to systems involving Go, TypeScript, and Python. WHAT YOU'LL NEED - Demonstrated production experience operating Kubernetes on GKE in a day-to-day infrastructure or platform engineering capacity. - Hands-on Pulumi experience, including Pulumi ESC for managing environments, secrets, and configuration, with practical proficiency in both TypeScript and Python. - Experience with ArgoCD, GitOps workflows, CI/CD pipelines, and debugging pipeline-level race conditions. - Strong hands-on experience with GCP services including IAM, Pub/Sub, Cloud SQL, VPC, and Secret Manager, including subscription-level Pub/Sub tuning and alerting. - Experience managing Cloudflare Workers and DNS as code, including cleaning up stale preview environments. - Experience owning secrets and configuration across services, including provisioning, rotation, naming conventions, and preventing cross-service authentication drift. - Demonstrated ability to independently triage and manage production incidents, including escalation, runbooks, and incident.io http://incident.io workflows. - Ability to execute infrastructure work independently from defined requirements without requiring architecture-level hand-holding. - Experience reviewing and approving infrastructure changes through pull requests. - Working knowledge of Grafana dashboards, alerting, and the Grafana Alloy or comparable agent and collector layer. - Security and compliance literacy, including the ability to execute SOC2-driven infrastructure work and operate effectively in regulated or sensitive-data environments. - Ability to read Go and work comfortably across TypeScript and Python codebases. - Availability to work core hours overlapping with the EU business day. POLYGON LABS PERKS The goal of the Polygon Labs total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan includes the following benefits for our full time employees: - Remote first global workforce - Industry leading Medical, Dental and Vision health insurance* - Company matching 401k with 3% match* - $1,500 Home Office Set Up Allowance (life-time max) - $200 Annual Book Allowance Program - $75 Monthly internet or phone reimbursement - Flexible Time Off - Company issued laptop - Egg freezing, mental health, and employee wellness benefits *In certain countries medical, dental and vision is fully covered for employees & their dependents. This is country and plan specific. *401k is for United States employees only Polygon Labs is committed to a diverse and inclusive workplace and is an equal opportunity employer. We do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Polygon Labs is committed to treating all people in a way that allows them to maintain their dignity and independence. We believe in integration and equal opportunity. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. If you think you have what it takes, but don't necessarily meet every single point on the job description, please still get in touch. We'd love to have a chat and see if you could be a great fit. Learn More about Polygon Labs Website https://polygon.technology/ |Twitter https://twitter.com/0xPolygon|Telegram https://t.me/polygonofficial |Reddit https://www.reddit.com/r/0xpolygon/ |Discord https://discord.gg/0xpolygoncommunity |Instagram https://www.instagram.com/0xpolygon/ |Facebook https://www.facebook.com/0xPolygon.Technology |LinkedIn https://www.linkedin.com/company/13449964/admin/

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About 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 team The Integrity and Attestation team's remit is to prove what is running at Anthropic: what code it is, where it came from, and whether the machine underneath it is in a known-good state. We build the systems that cryptographically verify build artifacts, model weights, and machines, from hardware roots of trust through firmware and boot to the credentials a workload receives. We also secure the management plane of our servers. These controls protect our model weights and customer data across cloud providers and bare-metal AI data centers, including sites operated by partners. We are hiring an Engineering Manager to lead this team. Anthropic is bringing up new compute quickly, across new hardware platforms and new partners, and each one has to meet the same bar. In this role you will set the team's charter, practices, and priorities. You will partner with our infrastructure, data center, and hardware teams, as well as outside vendors, so that integrity is designed in rather than added later. The goal is simple to state: a machine gets secrets and workloads only after it proves it should, and a new site reaches that bar without slowing down compute. About the role Own the integrity roadmap: threat model from silicon and firmware up through the operating system and workloads, decide what to build, and deliver it Be able to reason about the design and implementation of remote attestation, measured and verified boot, hardware roots of trust (TPM, SPDM), machine identity, and the reference values that define known-good Make attestation the default path, so machines receive credentials and join clusters only after proving their firmware, system software, and security configuration, with no human in the loop Build provenance for what we deploy: signed build artifacts and model weights, independent verification, and tamper-evident transparency logs Lead the protection of sensitive data in use and at rest, including encryption and the chokepoints that control access to it Secure the server management plane across every site: scoped and audited access to baseboard management controllers and management of per-device credentials Make security repeatable as compute grows, so a new site or hardware platform inherits these controls in hours, not weeks Join compute bring-up, data center, and hardware teams at design time Define clear ownership with partner teams: when operations move to another team, your team keeps the security properties and can prove they still hold Own the integrity evidence for our security goals and compliance: the invariants hold, and you can prove it Hire, grow, and retain senior security software engineers; own their career development, and set the practices the team runs on as it scales Who you are Low ego, high empathy; has built diverse teams and has former reports who would vouch for them. Experience managing infrastructure or security engineering teams, including hiring, developing, and managing senior and staff engineers Has grown engineers into staff or lead roles, and experience with performance management Created and maintained a high performing in hypergrowth environments. Kept a team intact and delivering through reorgs, charter changes, or leadership turnover Experience owning a security or infrastructure domain end to end: setting multi-year strategy, delivering year-long cross-organizational work with little direction, and answering to executives for its risk and tradeoffs An appreciation for distributed systems and properties beyond security, including reliability, efficiency, and maintainability Scaled a team and its systems together through hypergrowth, where last quarter's architecture was already too small Hands-on engineering in at least one of: platform security, secure boot and firmware, hardware roots of trust, confidential computing, or software supply chain integrity Threat modeling and risk assessment for systems that span hardware and software, with strong security judgment and pragmatism Comfortable leading through ambiguity with multiple partner teams and outside vendors, where you don't control the hardware or the schedule You may be a good fit if you have: At least 5+ years managing engineering teams and 8+ years hands-on in platform, infrastructure, or security engineering Built or operated remote attestation, device identity, or fleet-wide boot integrity at production scale Worked with BMCs, Redfish, GPU or accelerator attestation, or large-scale bare-metal provisioning Experience with Nitro, SEV-SNP, TDX, or similar confidential computing platforms Built signing, provenance, or transparency systems such as Sigstore, SLSA, or binary transparency Designed key management or offline ceremonies for high-value secrets Worked in high-assurance environments where controls had to be evidenced, not just deployed Taken infrastructure from zero to one and then to maturity: built the first version where nothing existed, then run and hardened it into a system other teams depend on Built or rebuilt a hiring loop and held the bar while adding headcount quickly Pragmatic and steady: cares about unblocking research, product and compute as much as a clean architecture, and brings patience and judgment to opinionated senior engineers Clear and persuasive communicator in writing and in person Familiarity with AI security and safety concepts 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: Mapbox Poland Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.  WHAT WE DO Our Support Team is composed of a diverse group of professionals such as developers, designers, and data specialists. Our team’s experience allows us to be knowledgeable about every aspect of the Mapbox stack, enabling us to provide exceptional support to our customers. We publish comprehensive documentation and provide direct email support to ensure that our users have the resources they need to succeed. Moreover, we are committed to identifying cross-team root issues, advocating for targeted improvements to our products and documentation, and helping our customers grow with Mapbox.   WHAT YOU'LL DO - Break down complex customer questions into manageable pieces and find solutions in the Mapbox stack. Communicate those solutions through concise and friendly responses - Provide excellent customer service, manage incoming customer issues, and collaborate with internal teams to ensure customer needs are met or exceeded - Analyze user feedback and translate it into actionable next steps for our service teams and product engineers - Take on proactive projects to address customer trends and advocate their needs in cross-team communication and projects lead - Regularly analyze ticket data to identify patterns and trends, lead cross-team communication and common tasks to improve customer experience - Independently lead initiatives aimed at improving customer experience and reducing the volume of support tickets - Develop and implement standards and best practices into existing processes - Participate in on-call rotation with the support team to ensure 24/7 availability for our customers - Use excellent written and oral communication skills to clearly articulate solutions to customers and service teams WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE - 2-4 years experience - Excellent written communication skills to clearly articulate technical solutions to customers - Exemplary written and oral communication (B1+) and writing skills in English - Broad range of complex technical and analytics skills and tools to reach customer needs (e.g., API’s, Debugging Tools etc.) - Create examples that demonstrate the best technical solution to customers - Strong debugging skills to troubleshoot and solve customer issues - Ability to prioritize and escalate issues appropriately and effectively - Customer engagement skills to provide friendly and effective support - Familiarity with GitHub, Slack, and Jira Preferred Qualifications - Knowledge of Support ticketing solutions such as Zendesk and Jira Experience working with engineering and product teams - Familiarity with geospatial tools and data such as (GeoJSON, Kepler.gl http://kepler.gl, OSM etc.) - Experience in cross team collaboration and organized activities (work with engineers) - Experience with Mapbox services and their toolchains possibilities - Be able to work both independently and with the team, solving increasingly complex problems   WHAT WE VALUE In addition to our core values https://www.mapbox.com/about/values/, which are not unique to this position and are necessary for Mapbox leaders: - We value high-performing creative individuals who dig into problems and opportunities. - We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. - We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. - We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply. HOW WE SUPPORT YOU - Hybrid/Remote Options: Enjoy flexibility to work comfortably from home or periodically from an office where applicable. - Country-Specific Care & Coverage: Private health, dental, and income protection plans tailored to elevate your regional statutory benefits. - Family-First Support: Family care, maternity and paternity leave policies to support your growing family. - Lifestyle Spending Account: Contributions to support your health, wellness, and personal growth - Balance & Brainpower: Mental health support for you and your dependents. - Rest & Recharge: Paid time away, company holidays, and generous absence policies. - Time Off to Give Back: Dedicated paid volunteering time in addition to your standard PTO. Our annual compensation for this role ranges from $30,400 - $45,600 (salaries are in USD). Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role). By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice https://www.mapbox.com/legal/applicant-privacy-notice/ for applicants, which is linked here. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application. We are committed to a fair and equitable hiring process. We do not discriminate against any protected class. #LI-Remote

Location: United States Senior Engineering Manager, Data & AI Lead the engineering team behind Foundry, Insights, Intel, and Voice: the agents, analytics, and data intelligence of the modern freight platform. About the Role Remote, United States. Some travel is required for team onsites, customer visits, and industry events. Relocation assistance is not provided. The Senior Engineering Manager, Data & AI leads the engineering group behind Foundry, Insights, Intel, and Voice. You'll own the group's technical strategy, delivery, and quality, hire and develop its engineers, and stay hands-on by prototyping, writing evals, reading traces, and reviewing architecture in depth. The team is about eight engineers today and growing. It also owns the shared foundation those products run on: a context graph that connects loads, trips, carriers, drivers, customers, documents, and conversations; event-sourced platform data streaming into the warehouse; and the evals, tracing, guardrails, and model routing every agent depends on. Alvys facilitates more than $1 billion in funds every month across invoices, carrier payments, and driver settlements. Behind that volume is one of the richest operational datasets in freight. This team turns it into agents that do real work and intelligence customers can't get anywhere else. Engineering leaders at Alvys are builders. Expect to spend about a third of your time building. You'll set the standard for how an AI-first team works: coding agents in the daily workflow, evals before scale, and production evidence over demos. The platform runs on .NET (C#, and increasingly F#), TypeScript, and Python on Azure and AKS, with Cosmos DB, Postgres, Elasticsearch, Snowflake, dbt, and Fivetran underneath. We're looking for someone who treats AI as a first-class material, both in what we build for customers and in how the engineering team works. Industry Insight Freight runs on phone calls, emails, PDFs, and tribal knowledge. The U.S. trucking industry is worth approximately $1 trillion today and is projected to grow by roughly 60% to nearly $1.5 trillion over the next decade. Yet the work that moves that freight is still largely manual. Nearly 580,000 active U.S. motor carriers operate in a highly fragmented market; 91.5% run 10 or fewer trucks, and 99.3% run 100 or fewer. Few of these businesses will ever build a data team of their own. Every check call answered, rate confirmation read, and exception caught by software is time back for a small team running on thin margins. Freight data is also structurally messy. A single load spans brokers, carriers, drivers, shippers, and documents, each with its own identifiers, and the truth lives across EDI messages, phone calls, and free text. Generic AI tooling doesn't model any of this. That's why we're building a context graph grounded in how freight actually moves. Agents can now answer the phone, read documents, query operational data, and take actions inside a TMS. In freight, those actions move trucks and money. They must be correct, auditable, and safe. About Alvys Alvys is building the operating system for modern freight. Our AI-powered, cloud-native platform brings dispatch, driver mobile, safety and compliance, billing and settlements, native EDI, reporting, integrations, and automation into one product. We were founded in 2020 by freight industry insiders who were tired of software built by people who had never moved a load. That combination of deep customer empathy and ambitious technology still defines us. We visit customers, learn how the work actually happens, prototype quickly, debate ideas openly, and turn the best ones into products people rely on. More than 3,000 trucking and brokerage companies use Alvys today, including larger fleets with increasingly sophisticated operations. We've raised $77M to date, including a $40M Series B. That gives us real momentum and room to make bold bets, while remaining early enough that a great engineering leader can materially shape the product, team, and company. We are building more than a modern interface for a traditional TMS. Foundry, our agent platform within Alvys, helps freight teams make decisions and complete work, and this team builds it. You'll work with curious, direct, low-ego people who solve hard problems, move quickly from prototype to production, and measure customer impact. Our Principles AI makes building cheap. It does not make judgment cheap. The constraint has moved from writing code to deciding what to build and proving it is right. Agents belong in the middle of the pipeline. People remain accountable at both ends. These principles turn that into how we work every day. Own the outcome You own what you ship. "AI wrote it" is not an answer. Judgment stays human. People decide what matters and whether the result is correct. Verify independently Generation and verification are separate. Tests, review, and approval run independently of the agent that did the work. Autonomy is earned per workflow. Agents advance only on measured precision against human-verified outcomes. No number, no promotion. Design for control AI-first means security-first. Customer data stays on approved infrastructure under managed identity. Cost is an engineering constraint. Every shared workflow has termination conditions and bounded fan-out. Build durable systems Knowledge is tool-agnostic. Reviewed intent lives once; vendor-specific machinery is generated from it. Multiple vendors are a design assumption. Durable workflows don't couple to one model or harness. Twice is a pattern. Automate repeated work and share it within 48 hours. The Data & AI Portfolio The Data & AI portfolio covers Foundry, our embedded automation and agent platform, including a unified agent chat that answers questions and takes actions; Insights, conversational analytics grounded in each customer's own operating data; Intel, proprietary data intelligence drawn from third-party, licensed, and proprietary data sources; and Voice, AI voice and chat agents for load status, driver check calls, and the follow-ups in between. It also includes the shared foundation: the context graph, the data platform that feeds it, and the evals, tracing, guardrails, and model routing behind every agent. Why This Role Few engineering leadership roles combine frontier AI work, a proprietary dataset, and an industry this underserved. This one does. You build at the frontier, in production. Context graphs, self-learning agents, voice agents, and agentic automation are still being figured out across the industry. Here you ship them to real customers, on live freight operations, not benchmarks. You work with data no one else has. More than 3,000 trucking and brokerage companies run on Alvys, and more than $1 billion in funds moves through the platform every month. Combined with third-party and licensed sources, that data is the raw material for intelligence no single fleet or brokerage could build alone. Your work changes how an industry operates. With 91.5% of carriers running 10 or fewer trucks, most of our customers will never hire a data team. The agents you build give a small business the leverage of a much larger one. You own a portfolio, not a feature. Four products share one platform. You set its architecture, choose its models and vendors, and decide where the team invests as it grows. You shape the team from the start. The group is about eight engineers today. You'll hire the next wave and set the standard for how an AI-first engineering team works at Alvys. You stay close to the decisions. You report to the Head of Engineering, work directly with customers and our Forward Deployed Engineering team, and have a direct line into company planning, backed by a $40M Series B. What You'll Be Responsible For Leading and Growing the Team Manage, coach, and develop a team of about eight engineers, including senior engineers and tech leads, and grow it as the portfolio expands. Hire senior and staff engineers, and keep the quality bar high as the team scales. Run the team AI-first, with coding agents in the daily workflow and clear standards for how AI-written code is reviewed, tested, and shipped. Owning Technical Strategy Set technical direction for agents, data, and the context graph, and make the build, buy, and model calls with cost, quality, and speed in view. Make tradeoffs across four products that share one platform, including what gets built, what gets cut, and where the team invests. Building Agents That Learn Own the agent development lifecycle from prototype to production to continuous improvement. Build self-learning loops so agents improve from outcomes, user corrections, and transcripts, and make that improvement measurable. Make evals a release gate. No agent ships without tests for quality, safety, latency, and cost. Data and the Context Graph Own the context graph that links loads, trips, carriers, drivers, customers, documents, and conversations, and the entity resolution that keeps it trustworthy. Partner on the data platform that feeds it, including event streams, CDC into Snowflake, data quality, and lineage, so agents and analytics share one source of truth. Capture decision traces (the inputs gathered, the rule applied, any exception, who approved it, and why) so precedent becomes searchable for agents and people, while rules stay explicit. Combine third-party, licensed, and proprietary data sources into intelligence customers can act on, with the provenance, licensing terms, and tenant boundaries of each source respected. Safety, Isolation, and Reliability Design agents that change data with scoped permissions, human approvals, and audit trails, and defend against prompt injection and tool misuse. Enforce tenant isolation and least privilege across every agent, tool, and data path. Own reliability and unit economics. Track cost per task, per call, and per tenant, and keep margins healthy as usage grows. Staying Hands-On Spend about a third of your time building: prototype, write evals, read traces, and debug production. Review your team's designs and code with real depth, and stay current on models and tools, separating what works in production from what demos well. Cross-Functional Partnership Work as a peer to product and design leadership on direction, architecture, sequencing, and delivery. Work directly with customers and our Forward Deployed Engineering team, and turn repeated patterns into platform features. The AI Fluency We Expect We measure AI fluency by how you verify, not by how much you use AI. More autonomy is not always better. You match the level of autonomy to the risk of the work, and you hold yourself and the team to the same five competencies. Delegation: You decide whether to use AI at all, which task to hand off, and how much autonomy it gets. Description: You state goals, requirements, and limits clearly, from a single prompt up to project instructions, specs, and policy. Discernment: You check output against evidence: diffs, acceptance checks, evals, and production monitoring. Diligence: You own the effects, including data access, permissions, memory isolation, budgets, and kill switches. Systems: You know how models, context, tools, harnesses, and memory work, and where each one fails. How You Work With Agents Design multi-agent systems on paper before you build them. For each step, choose a rule, a small model, a frontier model, or a person, and measure cost per outcome, not cost per token. Start from code-orchestrated workflows and add model-led autonomy only where the task needs exploration. Keep agent-to-agent handoffs few, and give each agent a contract: inputs, allowed tools, and output schema. Put limits in code, not in prompts: hooks, sandboxed worktrees, and a stop condition, retry cap, and budget on every loop. Separate the agent that writes from the agent that checks, and give the checker fresh context. Work in an explore, plan, execute, verify, and compound rhythm, where every correction becomes a rule, skill, hook, or test. Move fluently across Claude Code, Codex, and Cursor, and choose an editor-first or agent-first surface based on who should hold the controls for the next step. Where You Take the Team Bring every engineer to running goal-based loops, where specs and checks are written first, never weakened to pass, and run by the agent itself. Move the team from steering every turn to designing the system that steers the agent: its context, its harness, and its loop. Build toward agents that run continuously in hosted sandboxes, each with its own least-privilege identity, a named owner, a budget, and a tested kill switch, with risk-scaled human review on financial actions, auth, settlements, and customer data. Close the improvement loop. Capture traces, run error analysis on real failures every week, encode the fixes, and gate every change to rules, memory, or evals behind evals and a human approver. Self-improving never means self-approving. Minimum Qualifications 8+ years building software, including 3+ years managing engineers. You've grown senior engineers and tech leads and remain a hands-on builder who can prototype, debug production, and review code credibly. Production LLM systems. You've shipped LLM-powered products to real users, not demos, and can explain what broke, what you measured, and what you changed. Agentic engineering in your own work. You build with coding agents every day and can show the multi-agent workflows, contracts, hooks, and loops you put into production, and the checks that kept them honest. Depth in agent systems. You've built with tool use, function calling, MCP, orchestration, memory, and retrieval, and you understand where agents fail. Evaluation discipline. You've built eval systems that combine offline suites, online metrics, human review, and transcript analysis, and used them to gate releases. Strong data engineering judgment. You've worked with event streams, CDC, cloud warehouses, dbt, and data quality, and you know how the shape of the data limits what models can do. Distributed systems in production. You've designed and operated production services with real reliability requirements. Multi-tenant security. You've secured multi-tenant SaaS and isolated customer data, and you treat agent permissions as a security boundary. Language fluency. You write Python or TypeScript fluently and are comfortable reading C#, F#, and .NET. Experience with F# or another functional language is a plus. Startup-stage fit. You've operated at Series B/C velocity amid ambiguity, thin support, competing priorities, and a bias toward shipping and learning. Clear technical communication. You can explain a tradeoff to an engineer, a customer, and an executive. Preferred Qualifications Knowledge graphs, context graphs, entity resolution, or GraphRAG in production. Real-time voice agents, including telephony, speech-to-text, text-to-speech, turn-taking, and latency budgets. Fine-tuning, reinforcement learning from feedback, or prompt optimization against eval sets. Embedded automation or workflow platforms such as Activepieces, n8n, or Temporal. SRE experience, or a record of running systems other teams depend on. Logistics or freight experience, or another vertical where data is deeply entangled with operations. Founder or early-stage engineering leadership experience. A history of hiring, growing, and retaining excellent engineers. Built by people who've moved freight. Come build the intelligence layer with us. Learn more at alvys.com

Location: Remote Workplace: Remote WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started.   ROLE OVERVIEW We're hiring a Sr. Infrastructure Engineer to own the shared layer that every Harvey IT system runs on. You'll join Core IT Engineering & Infrastructure, reporting to Dave Vega, Director of IT, alongside engineers who own identity and collaboration, Microsoft platforms, networking, and client platforms. Harvey is cloud-first. We run no servers or data centers of our own. Our IT infrastructure is cloud tenants, SaaS configuration, office networks across a growing global footprint, and the automation that ties them together. Today that cross-cutting work is done on the side by each platform owner. This role makes it someone's primary job, so it gets built once, done well, and doesn't break quietly. WHAT YOU'LL DO You'll own the shared infrastructure, automation and reliability work that cuts across every IT platform. - IT cloud accounts and tenants. Own access, guardrails and cost for the cloud accounts IT runs (AWS, Azure, GCP projects for IT tooling). Be the BizTech engineering partner to Security and Infrastructure on tenant-level changes, such as cloud migrations that touch Entra and M365. - Infrastructure as code for IT. Build and run the Git repos, CI pipelines and review process for IT configuration (Okta, Jamf, Intune, Google Workspace). Platform owners keep owning their config. You own the framework they all use. - IT automation and provisioning. Own the automation behind identity lifecycle and IT workflows: SCIM and provisioning flows, onboarding and offboarding orchestration across systems, and IT workflows in Serval. - Monitoring, backup and resilience. Set up health checks and alerting for critical IT systems and integrations, config drift detection, SaaS backup (Google, Slack, M365) and tested recovery runbooks. - Scripts and internal tooling. Take over the scripts and admin utilities that live on individual laptops today. Put them in source control, document them and keep them running. - Office site standard. Work with Network and AV/Media teams to define the repeatable technical template for new offices: configuration, monitoring and documentation each site copies. Network and AV build execution stays with their owners. - Engineering practices. Raise the bar on change control, documentation and runbooks across the pillar, so primaries and backups can cover for each other. - Certificates, domains and DNS. Track and renew every certificate IT depends on (Apple Push, SAML signing, SSL, Wi-Fi/802.1X). Work with Network and CorpSec teams to own and manage DNS NS solutions for IT. Build expiry monitoring to avoid surprises. WHAT YOU HAVE - 6+ years in corporate IT engineering, systems engineering or SRE, with at least 2 years owning shared infrastructure or automation for a SaaS-first company. - Strong infrastructure-as-code experience. You've managed real systems with Terraform or similar, in Git, with pull-request review and CI. - Solid scripting in Python plus one of Bash, PowerShell or Go. You write code other people can read and maintain. - Hands-on with identity and provisioning: SAML, OIDC, SCIM and lifecycle automation in Okta or Entra. - Working knowledge of at least one major cloud (AWS, Azure or GCP): IAM, accounts and cost basics. - Comfort with DNS, TLS and certificate management, and basic enterprise networking. - You've built monitoring and alerting that people actually trust, and written runbooks that someone else used successfully. - Clear written communication. You can explain a change, its risk and its rollback to non-engineers. BONUS POINTS - Terraform providers for Okta, Google Workspace or Jamf, or config-as-code tools for Intune - Serval or similar IT automation platforms - SaaS backup and recovery tools for Google Workspace, Slack or M365 - Multi-site office rollouts across regions, including working with local vendors and ISPs - Experience at a fast-growing company where company headcount grew faster than the IT team COMPENSATION $153,000 - $210,500 USD   DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.   #LI-RB1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW We're hiring a Sr. Infrastructure Engineer to own the shared layer that every Harvey IT system runs on. You'll join Core IT Engineering & Infrastructure, reporting to Dave Vega, Director of IT, alongside engineers who own identity and collaboration, Microsoft platforms, networking, and client platforms. Harvey is cloud-first. We run no servers or data centers of our own. Our IT infrastructure is cloud tenants, SaaS configuration, office networks across a growing global footprint, and the automation that ties them together. Today that cross-cutting work is done on the side by each platform owner. This role makes it someone's primary job, so it gets built once, done well, and doesn't break quietly. WHAT YOU'LL DO You'll own the shared infrastructure, automation and reliability work that cuts across every IT platform. - IT cloud accounts and tenants. Own access, guardrails and cost for the cloud accounts IT runs (AWS, Azure, GCP projects for IT tooling). Be the BizTech engineering partner to Security and Infrastructure on tenant-level changes, such as cloud migrations that touch Entra and M365. - Infrastructure as code for IT. Build and run the Git repos, CI pipelines and review process for IT configuration (Okta, Jamf, Intune, Google Workspace). Platform owners keep owning their config. You own the framework they all use. - IT automation and provisioning. Own the automation behind identity lifecycle and IT workflows: SCIM and provisioning flows, onboarding and offboarding orchestration across systems, and IT workflows in Serval. - Monitoring, backup and resilience. Set up health checks and alerting for critical IT systems and integrations, config drift detection, SaaS backup (Google, Slack, M365) and tested recovery runbooks. - Scripts and internal tooling. Take over the scripts and admin utilities that live on individual laptops today. Put them in source control, document them and keep them running. - Office site standard. Work with Network and AV/Media teams to define the repeatable technical template for new offices: configuration, monitoring and documentation each site copies. Network and AV build execution stays with their owners. - Engineering practices. Raise the bar on change control, documentation and runbooks across the pillar, so primaries and backups can cover for each other. - Certificates, domains and DNS. Track and renew every certificate IT depends on (Apple Push, SAML signing, SSL, Wi-Fi/802.1X). Work with Network and CorpSec teams to own and manage DNS NS solutions for IT. Build expiry monitoring to avoid surprises. WHAT YOU HAVE - 6+ years in corporate IT engineering, systems engineering or SRE, with at least 2 years owning shared infrastructure or automation for a SaaS-first company. - Strong infrastructure-as-code experience. You've managed real systems with Terraform or similar, in Git, with pull-request review and CI. - Solid scripting in Python plus one of Bash, PowerShell or Go. You write code other people can read and maintain. - Hands-on with identity and provisioning: SAML, OIDC, SCIM and lifecycle automation in Okta or Entra. - Working knowledge of at least one major cloud (AWS, Azure or GCP): IAM, accounts and cost basics. - Comfort with DNS, TLS and certificate management, and basic enterprise networking. - You've built monitoring and alerting that people actually trust, and written runbooks that someone else used successfully. - Clear written communication. You can explain a change, its risk and its rollback to non-engineers. BONUS POINTS - Terraform providers for Okta, Google Workspace or Jamf, or config-as-code tools for Intune - Serval or similar IT automation platforms - SaaS backup and recovery tools for Google Workspace, Slack or M365 - Multi-site office rollouts across regions, including working with local vendors and ISPs - Experience at a fast-growing company where company headcount grew faster than the IT team COMPENSATION $153,000 - $210,500 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-RB1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Remote US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. As a Manager of Sales Engineering, you’ll combine your People Come First leadership, technical depth, and communication skills to help enterprise merchant partners evaluate and integrate Affirm. You will lead and develop a team of Sales Engineers while actively participating in deals, guiding integration decisions, and building relationships with merchants’ technical and business leaders. You’ll develop a deep working knowledge of Affirm’s products and integration solutions, participate in and lead technical sales calls, and provide hands-on support when the team needs coverage or additional technical leadership. You’ll also strengthen the team’s ability to build, test, and troubleshoot integrations in sandbox environments, grounding merchant recommendations in practical experience. Sales Engineers are part of the Partner Engineering team and work closely with Affirm’s Revenue, Engineering, and Product teams. Together, you’ll solve merchant integration challenges, identify product enhancements, and build internal processes that scale. What you’ll do Lead, mentor, and grow a team of Sales Engineers, setting clear expectations for technical proficiency, merchant engagement, and performance. Actively participate in deals alongside your team, supporting live technical discovery, integration discussions, and solution presentations. Partner with merchant technical and business leaders when an opportunity requires leadership involvement. Develop and maintain deep working knowledge of Affirm’s products, APIs, and integration options so you can evaluate solutions, explain tradeoffs, and help resolve technical blockers. Build, test, and troubleshoot integrations in sandbox or simulated merchant environments, and coach the team to develop the same practical capabilities. Use AI development tools in your own technical work and coach the team to apply them effectively when building prototypes, developing integrations, and testing solutions, with accountability for the quality and correctness of the resulting code. Collaborate with Engineering, Product, and Revenue to design effective merchant solutions, address integration gaps, and win new business. Translate merchant requirements and recurring technical challenges into actionable product feedback and improvements to internal processes. Create a respectful, supportive environment where diverse perspectives contribute to better decisions and team members receive clear feedback and opportunities to grow. What we look for Passion and drive to change consumer banking for the better. BA/BS degree in business or technology. 4–6+ years of experience in Sales Engineering, Solutions Engineering, or a comparable customer-facing technical role, and 3–4 years of people management experience. A track record of developing technical talent, setting clear expectations, and holding teams accountable for results. Demonstrated ability and willingness to stay hands-on while managing a team, including personally leading technical customer conversations and helping advance deals. Practical experience building, testing, and troubleshooting API-based integrations, with proficiency in at least one programming language. Strong technical judgment and the ability to translate business requirements into integration recommendations, explain tradeoffs, and identify implementation risks. Excellent communication skills, with the ability to build credibility with developers, business stakeholders, and senior leaders. Base Pay Grade - M Equity Grade - 8 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, which includes the annual base pay and the sales incentive target. USA On Target Earnings (CA, WA, NY, NJ, CT) per year: $225,000 - $287,500 USA On Target Earnings (all other U.S. states) per year: $200,000 - $262,500 Please note that visa sponsorship is not available for this position. #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Plaid is looking for an Engineering Manager Consumer to lead engineers building and migrating a unified onboarding platform.

Plaid is looking for a Sales Engineer Regulated Industries to lead technical sales evaluations and API pilots for regulated industries.