Вакансии

Location: Bangalore, India About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI team member at Anthropic India, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises across India and the Asia-Pacific region understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success Support customers building with both the Claude API and Claude for Work Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases Identify common integration patterns and contribute insights back to our Product and Engineering teams Travel occasionally within India and the APAC region to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns Collaborate across time zones with global teams while serving as the technical expert for the India market You may be a good fit if you have: 10+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager Experience working with enterprise customers in India or the APAC region, navigating complex buying cycles involving multiple stakeholders Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Comfortable with Python Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Ability to work effectively across cultures and time zones as part of a global team 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. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE: We're looking for a Senior Fullstack Engineer for our commercial product LangSmith, an observability and evals platform. In this role, you'll have the opportunity to shape the technical direction of our platform while working closely with enterprise customers, developer end-users and internal stakeholders. WHAT YOU WILL DO: - Lead the technical architecture and implementation of key product features for LangSmith, working across our entire Go, Python, and Typescript stack. - Collaborate closely with product and design teams to iterate on new features. - Mentor and guide more junior members of the team. Drive aggressive project timelines while ensuring high engineering standards are being met. - Lead by example in writing clean, maintainable, and well-tested code   WHAT YOU BRING: - 5+ years of experience in software engineering working on complex platform products - Fullstack engineering experience with Go or Python on the backend and React + Typescript on the frontend. - Strong understanding of database systems, particularly Postgres and Redis - Experience designing and scaling APIs, preferably in a high-performance, data-intensive application - A “get stuff done” attitude - comfortable shipping fast and iterating based on user feedback - Strong communicator with the ability to collaborate closely with various internal stakeholders and engage directly with our top-tier customers - Strong ownership mindset - Bonus: Experience with AI/LLM-powered applications, developer tools, or observability platforms   Annual salary range: $175,000-$240,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: New York, NY Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done.   ABOUT THE ROLE We are looking for a Senior Backend Engineer to join us. In this role you will be building the backend systems that power LangChain’s observability and evals platform. You will work on the core services that allow developers to monitor and evaluate their AI applications at scale. While the focus is on backend feature development, familiarity with fullstack or frontend engineering, performance tuning, and debugging production issues would be extremely valuable.   WHAT YOU'LL DO - Design, develop, and maintain backend services and APIs to support LangSmith’s tracing, monitoring, and evaluation workflows. - Collaborate on architectural decisions to ensure systems are performant and maintainable. - Optimize storage and query performance for high-volume observability and evaluation data. - Ensure system reliability through strong testing, monitoring, and alerting practices. - Troubleshoot and resolve production issues, performing root-cause analysis and implementing long-term fixes. - Create and maintain technical documentation, including system design and API references. - Work closely with full-stack engineers, product managers, and product designers on rolling out new features.   WHAT YOU'LL BRING - 5+ years of professional experience in backend engineering working on highly complex products - Proficiency in one or more backend languages/frameworks, ideally Python or Go - Strong understanding of API design and building reliable data services. - Experience with high-throughput or mission-critical systems. - Demonstrated ability to optimize backend services for performance and reliability. - Experience with database systems (Postgres, Redis, Clickhouse), and cloud platforms (AWS, GCP, Azure) - Strong communication skills, with the ability to collaborate cross-functionally - Customer centricity and ownership mentality   Compensation Annual salary range: $180,000- $240,000 Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Parma, Italy Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Our mission is to transform the way you shop and eat, bringing the neighbourhood to your door by connecting consumers, restaurants, shops and riders. We are transforming the way the world eats and shops by making access to food and products more convenient and enjoyable. We give people the opportunity to buy what they want, as they want it, when and where they want it. We are a technology-driven company at the forefront of the most rapidly expanding industry in the world. We are still a small team, making a very large impact, looking to answer some of the most interesting questions out there. We move fast, value autonomy and ownership, and we are always looking for new ideas. About the role We are looking for a Business Development Manager based in Parma, Modena. This is a rare opportunity to become a founding and important member of a growing, well-funded company. You'll collaborate with Italy's most premium and regarded restaurants. As a member of the regional sales team, you will report to the Sales Lead and your role will focus on developing new relationships with restaurants and stores. What you'll be doing Map, prospect, pitch and close new restaurants across your region in an organised fashion. This means being an area-level expert including knowing the up-and-coming restaurants and which restaurants customers crave most Support partners in joining Deliveroo, providing the best experience to them Communicate (physical visits, email, calls, or social media) with restaurants to demonstrate Deliveroo technology Help restaurant owners/managers overcome any barriers or hesitations Attend restaurant and food meet-ups Requirements You must be comfortable with targeting new business and have Sales Experience The job requires confidence or experience dealing with partners/customers, whether it be face-to-face, through phone or email Experience in demonstrating product and industry knowledge to clients You will need to be comfortable with negotiations Knowledge of the restaurant industry is a significant plus You will need to be tenacious Chinese language proficiency is a plus Why Join Us? At Deliveroo, you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Make a visible impact every day Your work directly improves experiences for customers, partners and riders. 🌱 Learn fast in an entrepreneurial environment Work close to the market with autonomy, pace and real responsibility. 🧠 Build a career, not just a role Stretch yourself, develop new skills and grow as the business evolves. 🌎 Deliver together in an inclusive culture Collaborative, values-driven teams that support how you work best. We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Find more about how we hire here . Compensation National Collective Agreement (CBA): CCNL Commercio e Terziario Classification Level: Livello 4 The total target compensation (OTE (On-Target Earnings, ovvero la retribuzione totale prevista al raggiungimento del 100% degli obiettivi) for this role is €35,200 – €44,000 gross per year, of which the base salary range is €17,200 – €26,000. The successful candidate's starting pay will fall within the pay range listed above and is determined based on a number of job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. This position is not eligible for consideration for an equity/RSU grant. To learn more about our benefits, please do not hesitate to bring this up with your Talent Acquisition Partner! The successful candidate's starting total target compensation (On-Target Earnings) for this role will fall within the pay range listed below and is determined based on a number of job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. This compensation is composed of a percentage based split between base salary and variable pay (where the base salary represents a percentage of the total range below. Eligible employees may earn variable compensation if they meet 100% of their performance targets. Actual earnings may be higher if targets are exceeded or lower if targets are not fully met. Pay Range: €17.200 — €26.000 EUR Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: New York Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role We are seeking an experienced Engineering Leader to build the partnership engineering organization. In this role, you will lead and build a new team dedicated to the technically complex work we do with our Partners, turning that work into repeatable product features. You’ll work to scale the team as they grow, help prioritize and support work in a fast paced environment, and build a healthy team culture. This is a highly visible role with the opportunity to shape how Mistral’s technology is adopted globally and unlock large business opportunities What You Will Do - Remove obstacles and create an environment where your team can focus on building solutions. - Own the most critical partnerships of the company and what's required to make them a success. - Translate product vision into technical reality, collaborating closely with the Product team. - Ensure applications are performant, stable, and responsive. - Uphold high code quality standards through reviews, testing, and automation. - Own the full software development process, from design to deployment. - Plan projects, including roadmaps, deadlines, and task allocation. - Collaborate with stakeholders across Engineering, Product, and Design, and Partners. - Support team growth through hiring, onboarding, and mentorship. What We're Looking For - Experience building and managing engineering teams. - Proficiency in Python and at least one web framework (FastAPI, Django, Flask). - Proficiency in C#, Golang, TypeScript and at least one web framework. - Experience with large-scale distributed systems. - Experience working with cross-functional teams, such as Product, Design, and Business. - Strong problem-solving abilities and attention to detail. - Ownership mindset and ability to ship products end-to-end. - Excellent communication skills and a low-ego, team-first attitude. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Remote, United Kingdom GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. About the role As a Senior Backend Engineer, you will design, implement, and evolve product capabilities while solving high-scope backend problems and influencing the technical and product direction of our teams. You will move beyond "assigned work" to actively improve the quality, reliability, and performance of our systems. You will work across product, frontend, infrastructure, data, and security boundaries, making sound architectural trade-offs, communicating complex ideas clearly in an asynchronous environment, and helping define the standards for a high-scale, global product. Why you’ll love this role High Impact: You aren't just shipping features; you are shaping the architecture of a global platform used by millions. Technical Agency: You will influence team objectives, technical direction, and long-range goals, helping us solve problems of high scope and complexity. Innovative Culture: You will get to experiment with and integrate agentic AI into production engineering workflows, moving beyond simple prompt engineering to build resilient, AI-assisted systems. Autonomy: You will thrive in our remote-first, asynchronous organization, where clear written communication and self-direction are the pillars of success. User-Centric Collaboration: You’ll partner closely with PMs and designers to shape requirements, ensuring every technical decision delivers genuine value to our users. What you’ll do Drive Technical Direction: Design and ship moderate to complex backend features with minimal guidance, making pragmatic choices between modular-monolith code, shared components, or independently operated services. Raise the Bar: Advocate for product quality, security, availability, and performance. You will define backend standards for style, maintainability, testing, APIs, and operational readiness. Mentor & Lead: Mentor associate and intermediate engineers, remove technical blockers, and improve team delivery practices through code and design reviews. Operational Excellence: Diagnose and prevent performance/reliability issues at scale. Participate in incident response and act as a technical owner where appropriate. AI Integration: Use AI in production engineering work to improve outcomes, evaluate its effectiveness, and coach others on responsible, high-judgment use. What you’ll bring Deep Backend Expertise: A strong command of backend architecture, APIs, data systems, and performance tuning in a complex product or service environment. Adaptability: Proficiency in modern backend languages and a deep understanding of systems programming. We value the ability to learn and adapt over mastery of a single language. Architectural Judgment: Experience designing or evolving modular backend boundaries, bounded contexts, and migration-safe architectures. Influence: Ability to lead through influence, technical judgment, and clear written communication, effectively bridging the gap between product needs and technical reality. Agentic AI Expertise: Proven experience building or operating agentic systems in production—moving beyond prompt engineering to architecting loops, tool-use, and error-handling strategies that ensure reliability at scale. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

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 the role We are seeking a Director, Technical Accounting – Investments and M&A to join our Finance team at Anthropic. In this role, you will own the company's accounting for strategic investments, partnerships with investment components, and related capital transactions, and support mergers and acquisitions when deal volume requires. You will report to the Senior Director, Technical Accounting – M&A and Investments. As Anthropic continues to scale rapidly and deploy capital into strategic investments, joint ventures, and novel commercial structures, including compute arrangements that carry warrants and other investment features, you will be a key technical resource on classification, consolidation outcomes, fair value, and financial statement impact across the portfolio. You will partner closely with Corporate Development, Legal, Tax, Treasury, FP&A, and leadership to ensure that investment economics are accurately reflected under US GAAP and that positions are defensible to external auditors, valuation specialists, and future regulators. This is a builder role: you'll help stand up and continuously sharpen the portfolio accounting process, controls, and valuation governance expected of a world class finance organization, working alongside the Senior Director as the function takes shape. If you want to own a portfolio end to end — and still be in the room when deals are shaped — we want to hear from you. Responsibilities Execute technical accounting for strategic investments, joint ventures, partnership structures, and related financing/equity instruments from entry through exit Partner with and influence Corporate Development to steer investment structures toward preferred terms and outcomes, reviewing term sheets and deal documents before signing Own entry accounting for each new investment — classification under ASC 321, 323, or 810, VIE/primary-beneficiary analysis, basis differences, and the initial measurement memo Run the quarterly portfolio review — reconsideration events, impairment indicators, observable price changes, and equity method pick-ups — and account for follow-on investments, conversions, down rounds, and exits Own the investment rollforward, its reconciliation to the general ledger, and the portfolio reporting that supports close, FP&A, and leadership, including review of portfolio company financial statements Manage third-party valuation specialists; review fair values of investments, warrants, and derivative features, including Level 3 inputs and impairment analyses Assess warrants, equity rights, and other investment components embedded in partnerships and compute arrangements, partnering with Accounting Policy on how consideration is allocated Support M&A transactions alongside the M&A lead when deal volume requires — accounting due diligence, purchase accounting (consideration measurement, PPA review, opening balance sheet), and measurement-period adjustments Author and defend technical accounting policies & memoranda; partner closely with external auditors on investment, consolidation, and M&A matters Help build the investments operating model — intake form and approval gates, memo templates, quarterly checklists, and SOX-ready controls — designed to scale as the portfolio grows including utilizing Claude, ERP systems and third party applications (as applicable) Prepare and review investment and transaction disclosures for quarterly and annual filings, including fair value, equity method, and VIE disclosures Present investment accounting conclusions and financial statement impacts to leadership and cross-functional stakeholders in clear, decision-ready terms Monitor standard-setting and SEC developments affecting investments, consolidation, and business combinations; support adoption and cross-functional education Minimum qualifications Bring significant Big 4 experience — ideally in a National Office, Transaction/Deal Advisory, or Capital Markets/Accounting Advisory group — paired with in-house experience at a technology company and public accounting or advisory experience Proven experience leading complex valuations (e.g., business combinations, equity and debt investments, warrants and other Level 3 instruments), including directing and challenging the work of third-party valuation specialists Have owned the accounting for a portfolio of minority/strategic investments, including quarterly impairment and fair value monitoring and at least one investment of meaningful scale or complexity Possess deep command of US GAAP for investments in equity securities, equity method, consolidation and VIEs, fair value measurement, and business combinations, with a track record of positions that withstand auditor and regulator scrutiny Are fluent in valuation concepts and can direct and challenge third-party specialists on private company fair value, warrant/option pricing, impairment, and PPA models Have operated within an investments-accounting or deal-accounting function, contributing to playbook and controls design Communicate effectively with Corporate Development, Legal, and Tax on structuring trade-offs, translating technical conclusions for cross-functional and senior stakeholders Demonstrate exceptional written and verbal communication, translating complex investment and deal accounting into clear business implications Excel at hands-on technical execution in a fast-paced, ambiguous environment, shifting between portfolio work and live deals as priorities change Are proficient with accounting systems (Workday preferred), consolidation tools, and advanced Excel/modeling Curious about and quick to adopt new AI tools, including Claude and Claude for Finance Preferred qualifications Have 10+ years of progressive accounting experience, including 4+ years owning strategic investment, equity method, or consolidation accounting end-to-end Have deep, practitioner-level expertise in one or more of the following: Investments in equity securities, equity method, and consolidation (ASC 321, 323, 810), including VIE/primary-beneficiary analysis, basis differences, and the measurement alternative Fair value measurement, derivatives, and embedded features (ASC 820, 815, 825), including warrants and Level 3 inputs for private company investments Business combinations and asset acquisitions (ASC 805), including contingent consideration and step acquisitions Collaborative arrangements and consideration exchanged in commercial deals (ASC 808, 606) Hold an active CPA license Have built an investment accounting process from the ground up, including intake, quarterly monitoring, and SOX-compliant controls over non-routine/complex transactions Have prepared or reviewed investment disclosures in SEC filings, including fair value hierarchy, equity method, and VIE disclosures Have experience with novel AI/technology structures — investments bundled with compute or commercial agreements, warrants received from customers or vendors, revenue-share partnerships, and strategic investor rights — and are passionate about leveraging AI to automate portfolio monitoring, memo drafting, and close Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 — $300,000 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. 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: Remote - EMEA; Remote - London; Remote - Spain; Remote - Portugal Workplace: Remote ABOUT YOU You’re a self-driven, highly capable recruiter who thrives in fast-moving environments and is energized by the challenge of finding talent that can build the best products. You’re deeply curious, technically fluent, and confident engaging with engineering and product candidates who are solving some of the hardest problems in AI and personalization. You are comfortable owning every part of the process and serving as a thoughtful brand ambassador from first outreach to offer. You are excited to help scale a team that’s redefining the future of ecommerce. ABOUT US Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents. Engineering is by far our largest department, and we’ve built our proprietary engine to be the best on the market, having never lost an A/B test to a competitive technology. We’re passionate about maintaining this and work on the bleeding edge of AI to do so. Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and with customers across many countries. It is used by some of the biggest ecommerce companies in the world like Sephora, Under Armour, and Petco. We’re a passionate team who love solving problems and want to make our customers’ and coworkers’ lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they do best can lead to great things. Constructor is a U.S. based company that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today. RECRUITING AT CONSTRUCTOR Constructor has grown headcount over 180% in the last two and a half years with a lean team: a small recruiting team and the support of our hiring managers. We’re excited to continue growing and to bring on a Technical Recruiter that will focus on roles across our Engineering and or Product team. These teams are distributed across North America, APAC, LATAM, and EMEA. Given the technical nature of our product, prior experience recruiting for technical roles is required. We're looking for someone excited to partner closely with hiring managers and help us scale intentionally and effectively across regions. RESPONSIBILITIES: - Own full-cycle recruiting for highly technical engineering and product roles, from sourcing through to offer and close - Source and engage top-tier engineering and product talent across North America, LATAM, EMEA, and APAC - Deliver a high-quality candidate experience that reflects Constructor’s values and culture - Partner closely with hiring managers to define role criteria and success profiles - Provide weekly updates to hiring managers on pipeline progress, challenges, and key metrics - Manage interview logistics and ensure smooth scheduling and debriefs across time zones - Build pipelines for current and future hiring needs across technical and adjacent teams - Assess candidate fit for technical capabilities, communication, and success in our fast-moving remote environment - Continuously evaluate and improve recruiting processes, tools, and reporting - Represent Constructor as a thoughtful and enthusiastic brand ambassador in every candidate interaction REQUIREMENTS: - Proven success hiring for technical roles such as backend, frontend, data/ML, and product management, and product design - Proactive and self-directed with a strong sense of ownership and follow-through - Flexible and responsive to candidate needs, including scheduling across global time zones - Demonstrated success in fast-paced environments, ideally at growth-stage startups - Strong track record of retaining hires and building trust with hiring teams - Deep comfort using LinkedIn Recruiter and adapting to new tools - Highly organized with strong attention to detail - Excellent written and verbal communication skills with strong interpersonal skills - Empathetic, thoughtful, and clear when interacting with candidates and internal stakeholders - Demonstrated experience working with applicant tracking systems (ATS) - Comfortable leveraging and iterating with AI tools to streamline recruiting workflows and sourcing This role is fully remote and you are ideally based in or able to overlap with US and EMEA time zones. (ex. Portugal, London, Spain) Nice-to-Haves: - Prior experience using Ashby - Prior experience using Juicebox BENEFITS 🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year 💰 A competitive compensation package including stock options 🌎 Fully remote team - choose where you live 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office 💻 Apple laptops provided for new employees 🧑‍🎓 Training and development budget for every employee, refreshed each year 👪 Maternity & Paternity leave for qualified employees 🧠 Work with smart people who will help you grow and make a meaningful impact   Diversity, Equity, and Inclusion at Constructor At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group.   How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.

Location: AU: Melbourne: (260 Burwood Rd); AU: Sydney (45 Clarence St); AU: Canberra (68 Northbourne Avenue); AU: Brisbane (243 Edward St) Workplace: Hybrid Engineer, Search   The role & impact As an Engineer on our Search team, you’ll own the infrastructure, CI/CD and data pipelines that keep one of the largest search clusters in the southern hemisphere healthy and growing. You’ll design and run the infrastructure automation and Terraform that underpin the cluster, build pipelines that move and index data at scale, and keep the platform fast, resilient and cost effective as demand grows. You’ll Go Bold by leading design decisions on scaling, reliability and capacity for a system holding hundreds of terabytes. In your first 90 days, you’ll get up to speed on the cluster, the team and our platform rebuild, then start reviewing pull requests and making your first meaningful changes. Within 12 months, you’ll Go Further by owning a major project, contributing across both search and generalist work, and helping to shape how the team works. The team & how they connect Our Search team looks after one of the largest search clusters in the southern hemisphere, indexing more than 50 million documents a day, for around 200,000 daily active users at 99.9% uptime. We’re rebuilding and expanding the platform for Xero’s next stage of growth, working closely with the streaming data team, our product manager and Catalyst to plan and release changes safely. We’re remote-first across Melbourne, New South Wales and New Zealand, and we get together in Melbourne roughly every six months. The team is currently working on - Tech stack: Github Actions and Terraform for infrastructure as code, with large-scale data pipelines feeding our search indexes. - Current project: Rebuilding and expanding the search platform, including ingestion for our new platform alongside the streaming data team. - Current project: Keeping the cluster highly available, owning monitoring, alerting and incident response to protect our 99.9% uptime. - Future project: Owning and shaping a major platform project within your first year, spanning both search and generalist work. Where and how you can work This is a permanent, remote-first role across Melbourne, New South Wales and New Zealand, so you can work from wherever you’re based. We get together in Melbourne roughly every six months, giving you time to connect with the team in person. Here are some of the things we are looking for - You bring your experience running production infrastructure in the cloud, with hands-on skills in Github Actions and Terraform. - You’ve designed and operated infrastructure pipelines that support complex platform scale environments and know how to keep them reliable under heavy demand. - Solid software engineering skills and a high-quality mindset sit at the heart of how you work. - Search or information retrieval experience, or a clear path to applying it, will help you hit the ground running. - You communicate clearly, work well across remote teams and can explain trade-offs to people outside engineering. Apply even if your experience isn’t a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Welcome to Torrero - all-in-one source for cutting-edge white label casino, sportsbook solutions and B2B aggregation. Built on a foundation of trust and compliance, we proudly offer an extensive library of 30,000+ games sourced from diverse providers, positioning Torrero as the preferred partner for transforming the iGaming enterprise. With huge number of sports events and easy payment options, we cater to diverse interests. Available in 35+ languages, we make gaming accessible worldwide. If you like a fast paced, dynamic and start-up work culture with full of passionate and enthusiastic mindsets, you’re most welcome to explore the opportunity. This is a chance to take part in an exciting journey as the company grows and expands its business at a rapid pace. About the Role: We are looking for someone to own the full cycle of game data operations - from collecting metadata directly from providers to keeping the database accurate and complete across all active markets. We need someone who understands game data structures, can work with providers at a technical level, spots discrepancies across sources, and knows how to resolve them. What You’ll Do: Collect, verify, and structure game metadata (RTP, volatility, mechanics, features, market restrictions) across all active providers Build and maintain direct communication with provider account managers: scheduled updates, data requests, discrepancy resolution Own and maintain the central game database - accuracy, completeness, and timeliness across all markets Support provider onboarding: systematize assets, data feeds, and documentation Build repeatable processes where manual work currently exists What We’re Looking For: Hands-on experience in iGaming - understanding of game data and provider ecosystems is non-negotiable Solid knowledge of game mechanics, product types, and provider portfolio structures Strong Excel skills and comfort with structured data formats (JSON, feeds, tables) Ability to identify and resolve data discrepancies across multiple sources Fluent English, Russian good to have High attention to detail - errors here mean bad data in production or regulatory reports Nice to Have: Practical experience using AI tools to accelerate operational workflows Experience automating large-scale data processing tasks We offer: Fully remote job - work from anywhere you want Flexible working hours Competitive compensation 28 paid days off per year 3 paid sick days a year without medical certificate Seniority leave Birthday Day off Real career opportunities and professional growth The great team across the world Hiring Stages: Test Task Intro call Hiring Manager round References check Job offer

Location: Tallinn, Harjumaa, Estonia Welcome to Torrero - all-in-one source for cutting-edge white label casino, sportsbook solutions and B2B aggregation. Built on a foundation of trust and compliance, we proudly offer an extensive library of 30,000+ games sourced from diverse providers, positioning Torrero as the preferred partner for transforming the iGaming enterprise. With huge number of sports events and easy payment options, we cater to diverse interests. Available in 35+ languages, we make gaming accessible worldwide. If you like a fast paced, dynamic and start-up work culture with full of passionate and enthusiastic mindsets, you’re most welcome to explore the opportunity. This is a chance to take part in an exciting journey as the company grows and expands its business at a rapid pace. About the Role: We are looking for someone to own the full cycle of game data operations - from collecting metadata directly from providers to keeping the database accurate and complete across all active markets. We need someone who understands game data structures, can work with providers at a technical level, spots discrepancies across sources, and knows how to resolve them. What You’ll Do: Collect, verify, and structure game metadata (RTP, volatility, mechanics, features, market restrictions) across all active providers Build and maintain direct communication with provider account managers: scheduled updates, data requests, discrepancy resolution Own and maintain the central game database - accuracy, completeness, and timeliness across all markets Support provider onboarding: systematize assets, data feeds, and documentation Build repeatable processes where manual work currently exists What We’re Looking For: Hands-on experience in iGaming - understanding of game data and provider ecosystems is non-negotiable Solid knowledge of game mechanics, product types, and provider portfolio structures Strong Excel skills and comfort with structured data formats (JSON, feeds, tables) Ability to identify and resolve data discrepancies across multiple sources Fluent English, Russian good to have High attention to detail - errors here mean bad data in production or regulatory reports Nice to Have: Practical experience using AI tools to accelerate operational workflows Experience automating large-scale data processing tasks We offer: Competitive salary Private health insurance Sports benefit Annual paid vacation for 28 calendar days 3 paid sick days a year without medical certificate Seniority leave Birthday Day off Regular team and company events Comfortable office in the centre of Tallinn with the flexible working schedule Top notch work equipment Amicable work environment and supportive team members Real career opportunities and professional growth The great team across the world Hiring Stages: Test Task Introductory call Hiring Manager round References check Job offer

Location: Brazil; Colombia; Spain; Portugal; Poland; Ukraine About the role You run the paid ad account day to day. Launch tests, manage budgets, cut what is not working and scale what is. You own the numbers and report on them clearly. What you will do Manage Meta and TikTok ad accounts day to day: campaign structure, budgets and bidding Launch new creative into test campaigns and read results Scale winners and cut losers after a fair test Monitor ROAS, CPA, AOV and contribution margin, not just platform metrics Work with the creative team on what to test next Report on performance regularly and clearly Requirements 2+ years running paid social for DTC ecommerce brands Experience managing meaningful monthly ad spend Strong with numbers, and able to work out what you can afford to pay for a customer Understanding of creative, since creative is what drives performance Clear written communication Google Ads experience alongside paid social Familiarity with Triple Whale, Northbeam or similar attribution tools Experience with Shopify and the full funnel beyond the ad platform Open to candidates from Latam or Eastern EU Benefits Working remotely for a US-based DTC Salary paid in USD

Location: Doha, Qatar EnerMech is a leading global specialist services company providing integrated solutions to the energy and infrastructure sectors. With operations across the Americas, Europe, Middle East, Africa and Asia Pacific, we deliver innovative technical services that support our clients throughout the asset lifecycle. Our people are at the heart of our success, and we are committed to delivering operational excellence, technical expertise and the highest standards of safety. About the Role The Project Manager is accountable for the safe, compliant and profitable execution of projects across their full lifecycle, from initiation through planning, execution and monitoring, to close-out, applying PMI/PMBOK knowledge areas and a principles-based approach to deliver contracted scope, protect margin, and build lasting client and stakeholder confidence. Accountabilities Accountable for project governance, controls and resourcing being applied consistently across the full project lifecycle, in line with PMI and EnerMech practice. Accountable for delivery of the contracted scope to the approved cost and schedule baselines, protecting forecast margin from initiation through to close-out. Accountable for service delivery meeting all contractual, HSE and regulatory obligations for the scope of work, with no compromise to safety performance. Accountable for stakeholder alignment and effective communication across client, internal and supply-chain interfaces, including the impact of approved change. Accountable for the end-to-end execution and formal close-out of assigned projects within [Business Unit], including transfer of deliverables and capture of lessons learned. Accountable for the identification, escalation and mitigation of project risk and uncertainty, and for decisions taken within delegated authority. Accountable for the performance, safety and development of the project team, and for the effective deployment of assigned internal and third-party resources. Key Responsibilities Project Integration Management Develop and maintain the project management plan, integrating scope, schedule, cost, quality, resource, communication, risk, procurement and stakeholder elements into a single coherent execution plan. Coordinate and ensure successful delivery of project in accordance with standardised Business Line processes. Act as single point of accountability for project performance, escalating decisions beyond delegated authority in line with Organisational reporting. Scope & Schedule Management Define and control project scope, preventing scope variance through formal change control. Develop, baseline and maintain the integrated project schedule; monitor progress and recover slippage through corrective action. Manage interfaces between internal and external functions to protect critical path activities. Cost & Resource Management Control project costs from initiation to completion, ensuring alignment with budget and financial objectives set by [Head of Function]. Monitor resource allocation, prioritising subject matter experts (SMEs) and efficient use of internal and external (rented) equipment and personnel. Assess project financials regularly (EVM, forecast-to-complete), identifying cost-saving opportunities and mitigating budget deviations Stakeholder, Communications & Change Management Ensure service delivery meets contractual obligations and exceeds client expectations. Act as primary client interface, aligning delivery with client requirements and driving timely resolution of issues. Lead organisational and project change management activities – communicating impact, securing buy-in and embedding change with affected stakeholders and teams. Facilitate structured, proactive communication and engagement across the project lifecycle, in line with a defined communications plan. Quality, Technical Standards & Compliance Oversee technical and quality performance to ensure all engineering / service delivery meets defined technical standards and business requirements. Ensure compliance with industry regulations, HSE standards and internal technical / quality measures. Risk & Procurement Management Identify, assess, manage and mitigate project risks and issues, escalating critical risks when necessary. Provide regular, structured updates on project performance against agreed KPI’s. Conduct scenario modelling and contingency management into project planning and mitigate challenges. Manage third-parties and rental-equipment interfaces in support of project delivery, where applicable. Continuous Improvement Drive continuous improvement by capturing and implementing lessons learned, sharing feedback. Champion adoption of enterprise value procedures, standard templates and the SharePoint project-management knowledge base across global project teams. Requirements Driving Results: constructs and adapts plans to deliver objectives, using structures and systems to control deviation from forecast. Adaptability & Resilience / Change Management: navigates change with resilience; plans, communicates and embeds organisational and project change (aligned to PMI change management practice). Financial Acumen: understands and analyses financial and commercial information to enable informed decisions that protect margin. Collaboration, Teamwork & Influencing: works cross-functionally, building rapport and influence to achieve shared goals across teams and functions. Customer Centric: delivers excellent customer experience and high-quality solutions that exceed expectations. Decision-Making: employs critical thinking & logical reasoning for decisions with cross-functional impact. PMI / PMBOK Knowledge Areas: demonstrable working knowledge of Integration, Scope, Schedule, Cost, Quality, Resource, Communications, Risk, Procurement and Stakeholder Management. PMBOK 7 Principles & Performance Domains: applies a principles-based, outcome-focused approach — stewardship, team, stakeholders, value, systems thinking, leadership, tailoring, quality, complexity, risk, adaptability and change. Large Scape Projects: Proven experience in managing large-scale projects, including the planning, mobilisation, coordination, and control of significant personnel and equipment resources to support major turnarounds, planned shutdowns, plant outages, and emergency works. Demonstrated ability to manage complex operational requirements while maintaining safety, quality, schedule, and cost objectives. 8–10 years of project management experience in the oil & gas services sector, including complex, multidisciplinary projects. Proven experience implementing standardised project processes, governance and controls. PMP certification (PMI), APM PRINCE2 or suitably experienced. Experience managing rented equipment and personnel logistics is advantageous for [IIS / ES] scope. Track record of leading organisational or project change initiatives. Solid grasp of financial and accounting management including Earned Value and Percentage of completion accounting to Completed Contract Method.

Location: Stockholm ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re looking for strong engineers with experience building software that developers love to work with. Our ideal candidate is someone with a demonstrated drive to build beautiful abstractions that enhance developer productivity. WHAT YOU’LL WORK ON: - Improve the developer and agent experience of our SDK and CLI - Develop new primitives to meet demand for entirely new areas that arise as a result of the ongoing industry transformation YOU MAY BE A FIT IF: - You have 5+ years of experience developing high-quality Python, JavaScript, or Go applications or libraries where the code is used or interacted with by other developers - You have a strong code-as-product sense that manifests as a focus on developer ergonomics and productivity - You understand async programming, concurrency management, and their pitfalls - You have a high level of customer empathy, good communication skills, and an openness to working directly with our users to help solve their problems - You’re able to participate in our on-call rotation and respond to production incidents - You’re able to work in person in our Stockholm office NICE-TO-HAVE: - Experience building developer tools or SDKs - Experience maintaining open-source software - Good understanding of agentic development workflows - Familiarity with modern data, ML, and AI tools and workflows

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: As a Manager of Startups Applied AI Architects at Anthropic, you will drive adoption of frontier AI by leading a team of technical architects to help startups build AI-native products with the Claude Developer Platform. Your team is expected to win the trust of founders and engineers by supporting their technical ambitions from early product to scale. You'll bring your own builder credibility and startup instincts to the role — setting the vision for what great technical partnership looks like in the startup segment, developing a high-performing team, and personally carrying relationships with Anthropic's most strategic early-stage accounts. This is a role for a proven technical go-to-market leader who knows how to build teams that move at startup speed, earn the trust of deeply technical buyers, and turn a scrappy early engagement into a lasting technical partnership. You'll define the playbooks for nurturing and scaling new customers, set the bar for technical excellence, and grow the people — while staying close enough to the ground to know what's actually working. You will partner with sales leaders and work as one team to support your customers. Responsibilities: Lead, develop, and grow a team of Startups Applied AI Architects — setting a high bar for technical credibility, customer impact, and startup-paced execution Drive team performance through clear goal-setting, regular coaching, and a culture of continuous technical development Personally lead pre-sales engagements with high-priority startup accounts, from initial technical discovery through deployment and expansion, modeling what great looks like for your team Build and own the segment's technical playbooks: how to run technical evaluations, develop customer-specific eval frameworks, architect LLM solutions for resource-constrained early-stage teams, and win against competitive alternatives Partner with aligned Account Executives and GTM leadership to shape segment strategy and drive Claude API adoption across the startup ecosystem Ensure your team consistently surfaces insights on how startups are building with Claude — emerging use cases, deployment patterns, architectural decisions — and translate that signal into actionable feedback for Product and Engineering Drive cross-functional influence across Sales, Product, and Engineering to advance startup customer needs and shape roadmap priorities Build Anthropic's technical presence and credibility in the startup ecosystem through events, conferences, workshops, and content Stay ahead of the AI engineering landscape — context engineering, eval frameworks, agentic architectures, developer tooling — and ensure your team is operating at the frontier You may be a good fit if you: Have 8+ years of experience in technical customer-facing roles (Solutions Architect, Sales Engineer, Forward Deployed Engineer, or similar), with 5+ years leading and managing pre-sales or technical go-to-market teams Have a strong track record of building and developing high-performing SA teams — you know how to hire well, coach effectively, and create an environment where technical talent grows and does their best work Have deep experience working with startups or high-growth technology companies — you understand the velocity, constraints, and culture of early-stage companies and know how technical decisions get made at each stage of the journey Bring genuine builder credibility: you've built and deployed LLM-powered applications, you speak the language of founders and founding engineers, and you can earn the trust of deeply technical audiences without relying on a title Have hands-on expertise with context engineering, LLM evaluation frameworks, and modern AI architectures, and can guide both your team and customers through the decisions that separate a prototype from a production-grade system Are comfortable with Python and fluent in the LLM frameworks, tools, and integration patterns common in startup engineering stacks Are energized by building in ambiguous environments — you're excited to define the playbook, not just run it, and you thrive in fast-moving contexts where the technology and the customer segment are both evolving rapidly Have a genuine passion for making powerful technology safe and societally beneficial Strong candidates may have: Experience as a technical founder or in a founder-led sales motion, giving you firsthand understanding of what technical buyers in the startup world are actually evaluating A track record of winning competitive technical evaluations against other LLM providers Experience building foundational team infrastructure from the ground up: hiring frameworks, onboarding programs, technical playbooks, and coaching systems in a high-growth environment Deep familiarity with how developer infrastructure procurement evolves from seed through Series B and beyond, and how to adapt your team's approach accordingly A visible technical presence in the startup or AI engineering community through conference talks, written content, or open-source contributions 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: $315,000 — $380,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA Workplace: Hybrid About Niantic Spatial AI has learned from almost everything online, but it still struggles with the physical world, where 99.5% of economic activity happens. It doesn’t know where things are, how spaces fit together, or what changes over time. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. About the Team Localization is where the map meets the moment. Our localization team builds the living geospatial world model and the centimeter-level Visual Positioning System (VPS) that lets people and robots know exactly where they are, from any camera, almost anywhere on Earth. That system is learned, not hand-built. Our localization stack has moved from classical geometry to visual models trained on billions of posed images — models that have to be accurate to the centimeter, robust to lighting and seasons and clutter, and fast enough to run in production for every query. This team sits at the junction of research and production: we take what works in a paper, make it work on our data, and make it work for customers. About the Role We're hiring an AI Engineer, Computer Vision, to contribute to the deep learning models at the heart of our localization system. Working alongside experienced researchers and engineers, you'll help train and iterate on the visual models — feature extractors, matchers, pose regressors, and retrieval models — that turn a single image into a precise position in the world. This is a full-loop environment. You'll get exposure to the entire pipeline: the data the model learns on, training, evaluation, and the service that runs it in production. You'll be surrounded by people who care deeply about correctness — where a loss curve going down is not the same as a system getting better — and you'll grow into that rigor quickly. What You'll Do - Train and Evaluate Models — Implement, train, and evaluate visual localization models in PyTorch: local feature extraction and matching, image retrieval, pose regression, and scene-coordinate regression. Iterate on architectures, loss functions, and training loops to improve accuracy on real production captures. - Build Data Pipelines — Contribute to high-throughput ingestion and preprocessing pipelines that turn raw imagery, poses, and 3D point clouds into training-ready datasets, including curation, sampling, and augmentation. - Run Experiments at Scale — Run training jobs across GPU environments on our 30-billion-image corpus, working with senior engineers and ML Infrastructure to keep experiments reproducible and results interpretable. - Extend the Benchmark — Help build and maintain the evaluation suite for localization — pose accuracy, recall across lighting and season changes, and latency under production load — so results are comparable across model versions. - Support Production Deployment — Work with senior engineers to take models from checkpoint toward serving: export, inference optimization, and monitoring once live. Learn what it means to own a model end-to-end, not just hand off a checkpoint. - Bridge Research and Product — Work with the Research team and Real-World Test Lab to understand how field failures translate into training data and benchmark improvements. What You'll Bring - Experience training deep learning models for computer vision tasks in PyTorch — through coursework, research, internships, or early industry work. - Foundational understanding of at least one of: visual localization, learned feature matching, image retrieval, pose estimation, SLAM, or structure-from-motion, and the 3D geometry underneath them (camera models, epipolar geometry, pose parameterizations). - Comfort working with large image or 3D datasets — preprocessing, curation, and understanding how data quality affects model behavior. - Familiarity with GPU-based training and the ability to read and reason about training runs — identifying whether a bottleneck is in data loading, compute, or model architecture. - Strong Python skills and a habit of writing code that others can rerun and build on. - A bachelor's or master's degree in computer science, computer vision, robotics, or a related field, or equivalent practical experience. Nice to Have - Published or contributed to work on learned localization, visual place recognition, scene-coordinate regression, or vision foundation models (CVPR, ECCV, ICCV, NeurIPS, 3DV, or equivalent). - Experience with large-scale self-supervised or multi-view pretraining, or fine-tuning vision foundation models for geometric tasks. - Exposure to inference optimization for edge or mobile hardware (TensorRT, ONNX, CoreML, or similar). - Experience with petabyte-scale spatial data: point clouds, meshes, posed image collections, or geospatial indexing. - Background in robotics, augmented reality, 3D reconstruction, digital twins, or autonomous systems. - Prior industry or research internship experience shipping or contributing to a production CV system. Compensation & Benefits The expected salary range for this role is $165,600 - $221,000 per year. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more. Location & Work Model This role is based in our San Francisco, CA office on a hybrid schedule with a minimum of 3 days per week in office. Inclusive Application We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed — you may be exactly who we're looking for. Equal Opportunity Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. Candidate Privacy I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Why Deliveroo? We're building the definitive online food company, transforming the way the world eats by making hyper-local food more convenient and accessible. We obsess about building the future of food, whilst using our network as a force for good. We're at the forefront of an industry, powered by our market-leading technology and unrivalled network to bring incredible convenience and selection to our customers. Working at Deliveroo is the perfect environment to build a definitive career, motivated by impact. Firstly, the impact that working here will have on your development, allowing you to grow faster than you might elsewhere; secondly, the impact that you can have on Deliveroo, leaving your mark as we scale; and finally, being part of something bigger, through the impact that we make together in our marketplace and communities. What you'll do? As a Software Engineer at Deliveroo, your individual work contributes to achieving goals in across your team. While you will work with your team and you may lead projects, some of your work will contribute outside of your direct remit. You will report to managers and group leads and together deliver the results. Technical Execution: You will improve code structure, have an impact on architecture, and review code of any scope produced by your team. You'll aim to simplify the maintenance and operation of production systems, visibility, operational readiness, and health of your team's systems. Collaboration & Leadership: As well as leading from the front regarding technical execution, you'll build relationships with other engineering teams and, identify collaboration opportunities. You'll own larger pieces of work, assist with design and technical / implementation choices and influence the roadmap within your team. You will take an active role in the hiring process and conducting engineering interviews. This will also extend to the current team where you will support the personal growth of colleagues, encouraging efficiency in their roles. Expectations: We want to emphasise that we don't expect you to meet all of the below but would love you to have experience in some of these areas. Take pride in readable, well-designed and well-tested software 3+ years of experience in building Android applications at scale Kotlin and/or Java experience Accomplished in scaling Android architecture 3+ years of experience with Android development tools like Android Studio Working in a cross-functional team Knowledge of the Android SDK and AndroidX Interested in writing Kotlin Workplace & Diversity At Deliveroo we know that people are the heart of the business and we prioritise their welfare. We offer a wide range of benefits in areas including health, family, finance, community, convenience, growth and relocation. We believe a great workplace is one that represents the world we live in and how beautifully diverse it can be. That means we have no judgement when it comes to any one of the things that make you who you are - your gender, race, sexuality, religion or a secret aversion to coriander. All you need is a passion for (most) food and a desire to be part of one of the fastest-growing startups in an incredibly exciting space. #LI-NE1 Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: New York City Office Workplace: OnSite COMPANY DESCRIPTION Today, when you go to your doctor and get referred to a specialist, your doctor sends out a referral and tells you, “They’ll be in touch soon.” So you wait. And wait. Sometimes days, weeks, or even months. Why? Because too often providers are overwhelmed with the painstakingly tedious work required to get paid by insurance companies. Powered by proprietary models, Tennr handles the complex paperwork that gets patients through the door and providers paid, helping operators get patients the right care, at the right time, in the right setting. ROLE DESCRIPTION As we scale our product surface area, we’re looking for Product Managers who are excited to own a variety of high-impact products, and drive outsized outcomes in hard-to-solve and ambiguous problem spaces. This is a role designed for builders who thrive in ambiguity, love solving complex user and workflow problems, and take full ownership of outcomes - from defining the problem space to shipping, scaling, and driving real customer and business impact. As a Product Manager, you will be accountable for setting the vision, strategy, and end-to-end execution of one or more core product areas. This is not a “manage the roadmap” role—it’s a “make it successful” role. You’ll develop a deep understanding of users, their day-to-day workflows, and the broader ecosystem they operate in. You’ll identify the highest-leverage problems to solve and turn messy, real-world complexity into simple, scalable experiences. You will hold the standard on quality, and not rest until your product is creating the level of impact in the field that you expect. You’ll work closely with design, engineering, customer-facing teams, and other product managers. You will lead product discovery, define clear requirements, make thoughtful tradeoffs, and push products from 0→1 and from 1→scale with urgency and clarity. This is a highly cross-functional and user-centered role—ideal for someone who loves building foundational experiences that make complex work feel effortless. RESPONSIBILITIES - Own the success of one or more core product areas, focusing on outcomes and real-world impact - not just outputs, timelines, or feature delivery. - Define and drive product vision and strategy by synthesizing user needs, workflow complexity, and business priorities into a clear, scalable roadmap. - Lead product discovery through user interviews, workflow mapping, usability testing, shadowing, and qualitative/quantitative research. - Translate ambiguous, messy problems into clear product requirements, user stories, and intuitive experiences. - Build, launch, and iterate on new capabilities from 0→1 and from 1→scale, ensuring fast learning cycles and high-quality execution. - Partner cross-functionally with design and engineering to translate product vision into intuitive user experiences that are technically feasible and built to scale. - Collaborate with Customer Success, Sales, Operations, and Marketing to ensure strong product adoption, clarity of value, and real customer impact. - Set a high bar for execution, usability, and coherence across the platform. CANDIDATE QUALIFICATIONS - A minimum of 4 years of product management experience, preferably in B2B SaaS, workflow-heavy products, or operationally complex environments. - Proven ability to take ambiguous product ideas from concept to launch and from prototype to real-world usage, with thoughtful prioritization of the highest-impact problems. - Strong user instincts: You care deeply about how products feel, flow, and fit into people’s daily work and can uncover user needs through strong product discovery practices. - Technical fluency: Able to break down how complex systems work under the hood, distill technical needs and constraints, and partner with engineering to make smart tradeoffs. - Excellent communication skills: able to clearly articulate product decisions, tradeoffs, and priorities to diverse audiences. - Collaborative leader: demonstrated ability to lead across design, engineering, CX, and go-to-market teams to drive clarity, alignment, and momentum. - Bias to action: energized by moving fast, testing ideas, learning from feedback, and iterating. - Ownership mindset: accountable for outcomes, comfortable operating in low-structure environments, and eager to lead end-to-end. WHY TENNR? - Drive Impact: one of our company values is Cowboy, meaning you set the pace. You won’t just talk about things, you’ll get them done. And feel the impact. - Develop Operational Expertise: learn the inner workings of scaling systems, tools, and infrastructure - Innovate with Purpose: we’re not just doing this for fun (although we do have a lot of fun). At Tennr, you’ll join a high-caliber team maniacally focused on reducing patient delays across the U.S. healthcare system. - Build Relationships: collaborate and connect with like-minded, driven individuals in our Hudson Square office 4 days/week - Free lunch! Plus a pantry full of snacks. BENEFITS - Beautiful new office at 345 Hudson Street - Unlimited PTO - 100% paid employee health benefit options - Employer funded 401(k) match - Competitive parental leave