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Location: San Francisco, California Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? Implementation is an activity every Fin customer experiences, whether they're buying Fin for the first time, expanding Fin to a new team, or adopting new features. More and more of those deployments are delivered by our partners, including the Salesforce partner community now ramping up on Fin. A partner-led deployment is only as good as the partner delivering it. As a Partner Services Manager focused on Enablement, you'll own how our partners get certified and stay current. Your work runs from a partner's first day with Fin, through to the moment they're ready to lead customer deployments, and then every product release after that. Your primary responsibility is making sure every partner who works with a Fin customer has the knowledge, skills and readiness to deliver real value. Partner Services Managers have an outsized impact on the company. If you want to help make business personal for our customers and you want to work with an ever growing and changing team, you're in the right place! What will I be doing? You will own partner enablement end to end: how partners get certified, and how they stay current as Fin evolves You will onboard new partners with structured onboarding plans that take them from signed agreement to first deployment, covering Fin's product, our deployment methodology and our delivery standards You will run partner certification, including bootcamps, assessments and scenario-based testing. You'll certify named consultants individually, not just partner firms You will run Fin Deployment Partner Bootcamps, both in person and virtually, including joint bootcamps with Salesforce for its partner community You will build and maintain enablement content, including curricula, online courses, playbooks, hands-on labs and demo environments, and keep it up to date as new features ship You will check partner readiness before partners are assigned customer work. That means running readiness assessments, organising shadow and reverse-shadow on live deployments, and confirming that a partner has certified people and capacity in place You will track each partner's progress from enabled (delivering under Fin's oversight) to certified (delivering independently), and keep partner and consultant certification records accurate You will keep partners current through recertification, release briefings and regular partner office hours You will use delivery data, such as Partner CSAT, Fin outcomes, escalations and QA findings, to spot skill gaps and turn them into targeted enablement You will own enablement KPIs, including time to certification, certification pass rate, time to first deployment and post-certification delivery quality You will work closely with the rest of the Deployment Services team, especially fellow Partner Services Managers and AI Deployment Consultants, to turn lessons from the field into better enablement You'll collaborate with our Product, R&D and Education teams to get early access to new features and enable partners on them ahead of launch You will cover enablement progress, certification status and skill gaps in each partner's Quarterly Business Review What skills do I need? 4+ years of work experience, with 2+ years in implementation, partner enablement or technical training roles Enablement Design: experience building training or certification programmes, ideally for partners, consultants or other technical audiences Facilitation: confident leading workshops and multi-day bootcamps for technical audiences, both in person and virtually Content Creation: the ability to turn complex product and deployment practices into clear courses, guides and hands-on exercises Assessment: the judgement to tell whether someone can actually do the work, not just pass a quiz, and the confidence to give direct feedback Technical Fluency: comfortable with core SaaS and AI concepts (APIs, integrations, LLM basics, automation logic), enough to speak credibly with technical partner teams Programme Management: organised and detail-oriented, able to run several partner cohorts and certification tracks at once Positivity and Engagement: a genuine interest in the work you do and a positive attitude! Curiosity: a passion for learning, for technology and for solving problems Adaptability: change is constant, and the Deployment Services Team values experimentation to find the best processes and solutions Demonstrate the Fin Values: Customer Obsessed, Success First, Incredibly High Standards, Open Mindedness, Resilience, Impatience, Positive and Optimistic Bonus skills & attributes Experience running a partner enablement or certification programme at a SaaS company or systems integrator Experience with learning management systems and course authoring tools Experience with the Salesforce partner ecosystem Experience training on SaaS products or, specifically, experience with Fin Experience with AI Agents and / or Large Language Models Hands-on experience delivering SaaS implementations yourself, as a consultant or implementation manager Great examples of self-started projects with measurable success Experience with RESTful API Integrations *Proof of eligibility to work in the United States is required. The base salary range for candidates within the San Francisco Bay Area is $157,500-$188,150. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role This is a unique role that sits at the intersection of economics, analytics, product, and strategy. You’ll combine rigorous quantitative analysis with customer research and commercial thinking to shape how Fivetran prices, packages, and monetizes its products. What You’ll Do Analyze product usage, deal, financial, and billing data to model pricing, packaging, and monetization scenarios. Design frameworks to assess willingness to pay, customer value, and price realization across customer segments and product lines. Conduct research on pricing strategies, packaging models, and monetization approaches across comparable and adjacent markets. Lead pricing and packaging strategy for new product launches, partnering with Product, GTM, and Finance to define commercial models Build value-based pricing and econometric models to quantify elasticity, customer ROI, and lifetime value. Design and execute pricing experiments Synthesize quantitative analysis, customer research, and competitive intelligence into executive recommendations that influence pricing strategy. Drive customer and prospect research to understand purchasing behavior, value perception, and pricing friction. Partner closely with Product, Analytics, Finance, Sales, Marketing, and Legal to deliver end-to-end pricing initiatives. Define KPIs and dashboards that measure pricing performance and identify optimization opportunities. Continuously evolve our pricing and packaging strategy to improve ARR growth, customer adoption, and value realization Skills We’re Looking For 5–8 years designing or operating SaaS or sophisticated B2C pricing models, preferably with usage‑based or behavioral pricing experience Deep quantitative chops—an advanced degree (PhD/MSc) in Economics, Statistics, Operations Research, Applied Math, or similar Fluency in SQL and Python for large‑scale data analysis; proficiency with BI tools such as Looker or Tableau; bonus for dbt Hands‑on experience with conjoint, MaxDiff, Gabor-Granger, or Van Westendorp surveys and causal experiment design Strong attention to detail and data analysis skills – including interpreting results and recommending actions Proven record of turning complex models and analyses into recommendations and shipping changes that moved ARR, gross margin, or NRR Collaborative mindset with Product, Analytics, Finance, Sales, and Legal; you can navigate from whiteboard to contract terms with ease Strong communication and presentation skills with ability to influence at the executive level #LI-DJ1 #LI-Hybrid The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $215,424 — $269,280 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: New York Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. About the Galaxy Summer Internship Program The Galaxy NYC Summer Internship Program is an immersive, nine-week experience taking place on-site in our New York HQ office. During the nine weeks, you will gain hands-on, practical work experience on our Digital Infrastructure team, working on real products and problems alongside the people building them. In addition to learning on the job, Galaxy interns participate in professional development programming, social events, and networking opportunities with senior leaders. Program Dates : June 7th – August 6th, 2027 What You'll Do: Utilize on-chain information to enable data-driven decision-making and enhance risk management practices Develop and oversee advanced risk analytics and modeling techniques specific to digital assets, enhancing risk measurement and reporting capabilities Conduct comprehensive risk assessments and scenario analyses tailored to digital asset markets, evaluating the potential impact of market, regulatory, and technological changes on the portfolio Design and implement innovative quantitative strategies, models, and policies for market risk management, focusing on identifying, measuring, and managing market-related risks such as interest rate, currency, equity, and commodity risks, while considering the unique aspects of digital assets, including volatility, liquidity, and regulatory factors Assist in the development and maintenance of systems to calculate risk metrics Writing and sharing market color What We're Looking For: Interest and knowledge of Digital Assets, DeFi and the cryptocurrency ecosystem Knowledge of financial products and crypto products Critical thinking skills with a solutions-oriented mindset Knowledge basic Python skills and SQL Ability to multi-task quickly and efficiently Proactive and entrepreneurial spirit Eligibility Requirements: Undergraduate or master’s students graduating between December 2027 and June 2028 Eligible master’s students must have fewer than two years of relevant, full-time work experience Students enrolled in PhD or JD programs are not eligible to apply Here are some of the industry-leading benefits of interning at Galaxy: Opportunities to learn about the Digital Asset and Data Center industry Free daily snacks and weekly lunches Smart, entrepreneurial and fun colleagues Employee Resource Groups *Benefits may vary based on location. Interns are classified as non-exempt employees and will be paid a rate of $55/hr. Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

Location: Berlin Workplace: Hybrid At Upvest, we are on a mission to make investing as easy as spending money. Upvest empowers businesses to offer a wide range of investment products and the best experience in the field of capital market investment and retirement planning. Upvest’s Investment API is easy to integrate so that fintechs and financial institutions can save resources and fully focus on their core business. We are proud to partner with Europe’s leading Fintechs and financial institutions such as DKB, Revolut, N26 and Raisin. Founded in 2017 by Martin Kassing, Upvest now brings together over 270 talented professionals from more than 70 nationalities. Upvest is backed by €280M in total funding from world-class investors, including BlackRock, Tencent, Sapphire Ventures, and Bessemer Venture Partners, Earlybird, Notion Capital, and Motive. Our latest €105M funding round in March 2026 - led by Sapphire and Tencent - serves as a massive catalyst for our growth, allowing us to offer premier investment experience. About the role: As a Brokerage Operations Intern you will dive into the fast-paced world of capital markets. You will support our Brokerage Managers in daily trading activities, risk management, order monitoring, and the operational rollout of exciting new investment products. This is a unique opportunity to learn the intricacies of trade execution, algorithmic trading, and investment management from industry experts. WHAT YOU’LL DO: - Order Management & Best Execution: Support the daily monitoring of trade executions and order flows to help ensure client trades are processed accurately, on time, and in strict adherence to best execution policies. - Risk Management & Algorithmic Trading Support: Assist the team in monitoring algorithmic trading flows and evaluating daily operational risks, helping to ensure our automated trading systems run smoothly and within defined risk parameters. - Market Abuse Monitoring & Compliance: Support the continuous monitoring of trading activities to assist in identifying potential market abuse scenarios. Help prepare data for regulatory compliance reporting (such as MiFIR, MAR, or Best Execution). - Investment Universe Management: Assist in managing and expanding our offered investment universe across various European and EMEA jurisdictions, ensuring new and existing assets align with local regulatory and operational requirements. - Trade Execution Support: Assist with the daily operational processes surrounding trading, including the execution handling for equities, mutual funds, and ELTIFs (European Long-Term Investment Funds). - Product Planning & Launch: Collaborate cross-functionally with Product and Operations teams to assist with research and operational readiness for new brokerage product launches across different regions. - Ad-Hoc Brokerage Projects: Actively participate in team projects aimed at improving execution mechanisms, rectifying mistrades, and optimizing our internal trading infrastructure.   WHAT YOU BRING: - Keen Interest in Markets & Data: A strong, demonstrable passion for financial markets, data analysis, trading, and the fintech ecosystem. - Foundational Knowledge: Basic understanding of market structures, trade lifecycles, and different financial instruments (knowledge of mutual funds, ELTIFs, or algorithmic trading concepts is a great bonus!). - Analytical Mindset: High attention to detail, excellent problem-solving skills, and a proactive, "hands-on" attitude when dealing with complex data. - Tech-Savvy: Comfortable working with data and eager to learn about trading platforms, market data tools (like Bloomberg), and internal order management systems. - Communication: Fluency in English is required; German is a strong plus.   HOW WE UPVEST IN YOU: - Impact-driven work: We’re building the infrastructure that will power the future of investing in Europe. It’s complex, ambitious, and meaningful. You’ll work with modern technologies and create something entirely new. No legacy systems, no limits. - Team celebrations: Participate in company-wide events, such as UpFest, dinners, offsites and our Holiday party, to connect with colleagues and celebrate our achievements. - Inclusion: We’re committed to a culture where everyone belongs and thrives. Our Employee Resources Groups foster inclusion and connection, like Upfem for our female Upvengers, or UpVergent supporting neurodivergent Upvengers and allies.   OUR VALUES: - Make it easy for others. We simplify the complex and act with the best intentions. - Own the outcome. We are proactive, fast and confident to get the job done, valuing progress over perfection. - Rise to the challenge. We aim high and push the boundaries. We stay curious, learn and celebrate our wins together. - Tell the story. We start with the Why to align on purpose. We are transparent and share knowledge to empower and inspire others. Upvest is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Location: Ukraine OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy We are looking for a proactive and detail-oriented General QA Engineer to help ensure the quality and reliability of our product. In this role, you will combine manual and automated testing, build and maintain scalable Playwright test suites, leverage AI-powered tools to increase efficiency and work closely with engineering and product teams to deliver a seamless user experience. As part of our team, your responsibilities in this role will include: Automates validation across UI, APIs, dashboards Maintains reusable test systems, flakes analytics Development and maintenance of a suite of e2e/UI tests in Playwright (TS), covering critical user scenarios. Use of AI in work Practical use of LLM tools (e.g., ChatGPT, GitHub Copilot/Codeium) to optimize the execution of testing tasks. Performing manual testing of features (planning, test design, regression, exploratory). Integration and optimization of test runs in CI (parallelization, stabilization, flakiness metrics). Setting up reporting and observability for automated tests (traces, video, flake analytics). Collaboration with engineering and product: requirements clarification, help reproducing defects, and improving testability. Maintaining the quality of test data and environments Our ideal candidate possesses the following skills: 3–5 years in QA, including 1.5+ years in automation using JavaScript/Playwright. Strong Playwright: Test Runner, fixtures, projects, parallelization, and sharding. Auto-wait/locators, stable selectors, working with flakes (timeouts, retries, expect.poll). BrowserContext/Page, environment isolation, test data management. Tracing, video/screenshots, network mocking (route), APIRequestContext. Page Object/Screenplay patterns, project structure, reusability. AI & No-Code Integration: Building test workflows in n8n, Zapier, Gumloop. Use of no-code tools as part of the automated test infrastructure. AI-Enhanced Testing: Practical use of LLMs (e.g., ChatGPT, Copilot). Explore AI QA tools (Testim, Diffblue, CodiumAI, Mabl). JavaScript/TypeScript at advanced mid-level: Async/await, promises, modules, TS typing, interfaces, generics. NPM/Yarn, Node.js scripts, ESLint/Prettier configuration. API testing: REST, Postman/Swagger. Browser DevTools: network, storage, cookies, CORS, headers, status codes. Databases: solid SQL, basic work with test data. CI/CD and VCS: Git (branching, PR, code review). Integration of automated tests into CI (GitHub Actions/Jenkins), artifacts, and reports. Running tests in containers/headless, dependency management, and caching. Manual testing: Requirements analysis. Creation of all types of test documentation. Test design techniques. Types of testing. English: reading documentation and written communication (Intermediate+). What we offer: Opportunity to shape the backbone systems of a modern, data-driven digital company A collaborative, innovation-first environment that values initiative and experimentation Reduced working hours on Fridays during the summer Days off on US national holidays and your birthday Schedule: Monday–Friday, 1 PM – 9 PM EET (including 1 hour break) Why join us? You’ll be at the intersection of technology, process innovation, and business growth – building systems that empower our teams to work smarter, faster, and more collaboratively. If you’re a strategic thinker who loves turning complexity into clarity and ideas into scalable solutions, we’d love to meet you

Responsibilities: — Design prompts, agent logic and tools including function calling — Write test scenarios to evaluate the quality of agents — Analyze real agent conversations to identify and fix failures — Integrate agents with backend systems alongside the development team Requirements: — Minimum 2 years experience with Python — Experience building at least one large language model (LLM) agent or chatbot using APIs such as Gemini, OpenAI, or Claude — Strong skills in prompt engineering — Experience with function calling and Retrieval-Augmented Generation (RAG) — Proficiency in English Nice to have: experience with voice agents, multi-agent systems, evaluation tools like Langfuse or promptfoo, logistics domain knowledge, and knowledge of Uzbek or Russian languages. Benefits: — Salary starting from $1,500 per month — Office-based work in Tashkent To apply, send your CV to hr@gl-solutions.com with the email subject "AI Agent Engineer". Applications without a CV will not be considered.

Location: Paris, Remote Workplace: remote 360Learning is entering its next phase of growth. Today, more than 2,500 organizations worldwide rely on us to turn internal expertise into business performance. As AI reshapes how companies develop skills and share knowledge, we are bringing together Collaborative Learning, AI and enterprise-grade infrastructure to redefine the future of L&D. We are now looking for a Chief Financial Officer / VP Finance to help lead this next chapter. Reporting directly to Benjamin Marchal, our CEO, you will lead our global Finance organization and act as a strategic partner to the CEO, Executive Committee and Board. Your mission: drive sustainable, profitable growth while strengthening financial discipline, operational performance and long-term value creation. You will help shape our SaaS operating model, optimize resource allocation and balance growth, profitability and cash generation. Working closely with leaders across Revenue, Product, People and Operations, you will turn financial insights into business decisions, foster accountability and support our strategic priorities, including M&A, investor relations and future liquidity events. We are looking for a Finance leader who combines strategic vision, strong business judgment and hands-on execution. Whether you are an experienced CFO or a VP Finance ready to step up, this is an opportunity to work directly with the CEO and Board and shape some of the company's most consequential decisions. Within 1 month, you will: Understand 360Learning's strategy, financial performance, organization, culture and key business priorities. Build strong relationships with the CEO, Executive Committee, Finance team and key internal stakeholders. Review our financial reporting, forecasting, budgeting and performance management processes. Assess the maturity of our Finance organization, systems, internal controls and financial governance. Identify the main drivers of growth, profitability, cash generation and operational efficiency. Deliver an initial diagnostic highlighting key risks, opportunities and short-term priorities. Within 3 months, you will: Build and align with the CEO on an 18-month Finance roadmap, covering financial performance, operational efficiency, systems, processes, governance and team development. Strengthen financial visibility through accurate forecasting, clear SaaS metrics and actionable management reporting. Establish a strong financial business partnering approach with Revenue, Product, People and other functions. Identify opportunities to improve cost efficiency, productivity and resource allocation while protecting strategic investments. Review our financial systems and data infrastructure, identifying automation and scalability opportunities. Take ownership of Board reporting, investor communications and financial planning processes. Assess our current M&A framework and identify opportunities to strengthen due diligence and post-acquisition performance tracking. Within 12 months, you will: Drive measurable progress towards our growth and profitability ambitions, improving financial efficiency, cash generation and Rule of 40 performance. Establish a best-in-class financial operating model, with reliable forecasts, transparent KPIs and clear accountability across functions. Lead strategic financial initiatives to optimize our cost structure, improve unit economics and support sustainable ARR growth. Build a high-performing, scalable global Finance organization combining strategic business partnering with strong operational execution. Strengthen financial governance, compliance, audit readiness and risk management across our international entities. Support the evaluation, execution and financial integration of strategic acquisitions. Partner with the CEO and Board on long-term financial strategy, capital structure and potential future fundraising or liquidity scenarios. Make Finance a key driver of business performance and shareholder value creation. The Skill Set: 10+ years in Finance, including senior leadership in B2B SaaS, ideally scaling from €30–50M to €100M+ ARR. Strong grasp of ARR, NRR, CAC, LTV, gross margin, retention and Rule of 40. Expertise in forecasting, financial modeling, performance management and data-driven decision-making. Ability to balance growth investments, profitability, cash generation and operational efficiency. Trusted advisor to the CEO and Executive Committee, able to challenge assumptions and drive accountability. Experience with PE/Growth Equity investors, Board reporting, financial governance and capital allocation. Exposure to M&A, due diligence, fundraising and capital structure; transaction leadership is a plus. Strong command of accounting, reporting, treasury, cash management, compliance and internal controls. Track record of building high-performing teams, automating processes and scaling international Finance operations. Hands-on, pragmatic and accountable, aligned with Convexity’s values of Impact, Rational Thinking, High Accountability and Scalability. Fluent English; French is a plus. What we offer: Compensation: Package includes base salary, a variable component and equity 📈 Benefits/Perks : Work From Home stipend, RTT, lunch vouchers, medical insurance, gym subscription, 1 month parental leave for the second parent. Balance: Flexible hours, full remote work possible anywhere in France 🏠 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 Interview Process: Phone Screen  with our Head of Talent Acquisition. Discovery meeting with Benjamin Marchal, CEO. Financial and strategic business case discussion with our CEO and our VP Startegy and Operations. Culture Fit Meeting with our Chief People Officer. Final discussions with key stakeholders and, where relevant, Board representatives. Background Check Offer! Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. As a Senior Software Engineer you will own quality engineering for Health Records while building shared data-mocking capabilities that support teams across WHOOP. You will lead the testing strategy and test automation for Health Records, ensuring healthcare data is ingested, transformed, stored, and consumed accurately and reliably. In parallel, you will scope and build reusable data-mocking frameworks for internal data and third-party integrations that can be consumed by our testing services across Health and other product areas. This is a hands-on senior engineering role spanning APIs, databases, data pipelines, event-driven systems, third-party integrations, healthcare data formats, cloud infrastructure, and internal testing services. RESPONSIBILITIES - Define the quality strategy and test automation for Health Records, validating data across ingestion, transformation, storage, and downstream consumption and establishing automated monitoring for data-quality regressions. - Design and build automated validation across APIs, databases, data pipelines, and healthcare data formats such as FHIR using Java, Python, SQL, and appropriate data-validation frameworks. - Scope, design, and build reusable data-mocking capabilities for teams across WHOOP, including internal data, third-party APIs, events, and data payloads. Drive adoption through integration with existing testing services, documentation, and common patterns. - Lead complex quality and test-infrastructure initiatives from technical planning through delivery, identifying risks, evaluating architectural tradeoffs, investigating systemic issues, and partnering with Engineering, Product, QA, and domain experts. - Establish and evolve engineering practices for data quality, testability, test data, observability, to ensure compliance with HIPAA requirements for PHI-safe testing, while mentoring engineers and developing additional ownership for Health Records quality. QUALIFICATIONS - 4+ years of experience in SDET, QA Engineering, Data Quality Engineering, ETL testing, or a related engineering discipline. - Strong SQL and database skills, with experience validating data integrity, reconciliation, transformations, and complex data pipelines. - Strong understanding of REST APIs, JSON, request/response patterns, events, and data payloads, including experience testing or mocking third-party integrations. - Experience building automation and reusable testing infrastructure using Java, Python, or similar programming languages. - Experience designing and testing ETL/ELT pipelines, distributed data flows, or other data-intensive systems, including failure, recovery, and edge-case scenarios. - Demonstrated ability to scope and lead complex technical initiatives, evaluate tradeoffs, influence technical direction, and build reusable solutions adopted by other engineers or teams. - Strong collaboration and communication skills with technical and non-technical partners, along with experience mentoring engineers and raising engineering practices. - Healthcare experience is preferred, particularly with EHR/EMR data, FHIR and similar standards, clinical data, healthcare terminology, and HIPAA/PHI requirements. - Bonus: Experience with cloud and event-driven infrastructure, high-volume data pipelines, data-quality or observability frameworks, CI/CD quality gates, or FHIR validation tooling.

Location: Portugal; Spain; France; Germany; Poland; United Kingdom As the Senior macOS QA Engineer, you will be responsible for validating the stability, security, and compatibility of a secure macOS platform used to protect sensitive systems. This is a hands-on manual and exploratory QA role (not an automation role) that requires deep, practical experience with macOS internals, system extensions, and application behavior. You will work alongside a highly experienced team of engineers and reverse engineers to design and execute manual test plans that dig into system extensions, inter-process communication, and low-level operating system behavior. If you thrive on identifying edge cases, love all things macOS, enjoy breaking complex systems in controlled ways, and have an investigative mindset for system behavior, this role is for you. This is not a fit if macOS has been a secondary platform, or if your experience is mainly iOS, web or automation. Responsibilities Test macOS security features spanning system extensions, Endpoint Security, and Network Extension frameworks. Design and execute manual test plans for system extensions, inter-process communication (XPC), and low-level operating system integration points. Explore and document edge cases, race conditions, compatibility scenarios, and regressions across macOS versions. Reproduce and isolate complex issues related to sandboxing, SIP and TCC interactions, Launch Services, and daemon behaviors. Work directly with development, support, product, and automation teams to triage, verify, and regress bugs and compatibility issues. Validate interactions between the platform and third-party macOS apps and services. Collaborate with SDETs to turn exploratory and regression cases into automation candidates. Maintain close familiarity with changes in macOS releases and how they may impact functionality and compatibility. Requirements 5+ years of QA experience with macOS applications, with a focus on security, system-level, or compatibility testing. Strong understanding of macOS internals, including System Extensions, Endpoint Security, XPC, TCC, SIP, Launch Services, and file systems. Familiarity with macOS diagnostic and monitoring tools such as Console, Activity Monitor, Instruments, fs_usage, dtrace, tcpdump, and lldb. Experience testing low-level products such as VPNs, endpoint security tools, or antivirus software. Ability to read crash reports and debug logs and identify root causes. Ability to work independently and investigate issues thoroughly before escalating. Excellent written communication for clear test case documentation and bug reports. Comfortable working in Terminal (launchctl, log, systemextensionsctl, tccutil) Able to set up and fully clean test environments (VMs/snapshots, removing extensions, resetting permissions) Availability to work during US Eastern Time (EST) business hours. Claims will be checked: Interviews include hands-on questions about the experience listed on your CV. Benefits Compensation: $6,500 USD per month PTO and holidays ** Only CVs submitted in English will be considered **

Location: India; Australia; Japan; Singapore; Philippines; New Zealand About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Job We are seeking an experienced Systems Architect or Chief Systems Architect to contribute to a specialized AI training project focused on complex, real-world engineering workflows. This role is intended for senior engineering professionals with proven experience defining system architectures, managing technical interfaces, and leading multidisciplinary engineering teams. You will use your expertise to design realistic engineering scenarios, translate project objectives into structured system architectures, coordinate contributions from different technical specialists, and establish clear evaluation criteria. The ideal candidate understands how complex systems are structured across mechanical, electrical, hardware, software, and manufacturing disciplines, and can identify dependencies, constraints, and engineering trade-offs throughout the system lifecycle. Previous AI experience is not required. CONTRACT: Contractor LOCATION: Remote – US-based candidates preferred; worldwide candidates with strong relevant experience considered. PROJECT: AI training focused on complex engineering workflows. AI EXPERIENCE: Not required. FOCUS AREAS: Systems architecture, multidisciplinary engineering, interface management, technical trade studies, and system integration. Key Responsibilities Design realistic engineering projects that require architectural decisions across multiple technical disciplines, including mechanical, electrical, hardware, software, and manufacturing. Translate high-level project objectives into detailed system architectures with clearly defined boundaries, subsystem responsibilities, interfaces, and technical constraints. Break complex architectural challenges into interconnected tasks with defined inputs, deliverables, dependencies, and expert responsibilities. Define system-level requirements and ensure alignment between subsystem specifications and overall project objectives. Evaluate architectural alternatives and conduct technical trade studies to assess feasibility, performance, cost, reliability, and other engineering considerations. Establish and document interfaces and dependencies between subsystems and engineering disciplines. Define technical objectives, acceptance criteria, and evaluation frameworks for assessing architectural solutions. Apply systems engineering principles to identify integration risks, technical conflicts, and architectural gaps. Review system architectures and assess whether proposed solutions meet functional and operational requirements. Ensure project scenarios reflect realistic engineering practices and industry standards. Requirements Substantial professional experience as a Systems Architect, Chief Systems Architect, or in a comparable technical leadership role. Proven experience owning the architecture of complex engineering systems. Demonstrated ability to lead and coordinate multidisciplinary technical teams. Strong expertise in system architecture design, technical trade studies, and interface management. Experience conducting architecture reviews and evaluating system-level design decisions. Ability to translate complex project objectives into structured architectures, technical requirements, and measurable evaluation criteria. Understanding of subsystem dependencies, system boundaries, integration challenges, and engineering constraints. English proficiency at B2 level or higher. Strong analytical, organizational, and technical communication skills.

Location: United States; Canada; Mexico; Costa Rica; Panama; Guatemala About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Job We are seeking an experienced Systems Architect or Chief Systems Architect to contribute to a specialized AI training project focused on complex, real-world engineering workflows. This role is intended for senior engineering professionals with proven experience defining system architectures, managing technical interfaces, and leading multidisciplinary engineering teams. You will use your expertise to design realistic engineering scenarios, translate project objectives into structured system architectures, coordinate contributions from different technical specialists, and establish clear evaluation criteria. The ideal candidate understands how complex systems are structured across mechanical, electrical, hardware, software, and manufacturing disciplines, and can identify dependencies, constraints, and engineering trade-offs throughout the system lifecycle. Previous AI experience is not required. CONTRACT: Contractor LOCATION: Remote – US-based candidates preferred; worldwide candidates with strong relevant experience considered. PROJECT: AI training focused on complex engineering workflows. AI EXPERIENCE: Not required. FOCUS AREAS: Systems architecture, multidisciplinary engineering, interface management, technical trade studies, and system integration. Key Responsibilities Design realistic engineering projects that require architectural decisions across multiple technical disciplines, including mechanical, electrical, hardware, software, and manufacturing. Translate high-level project objectives into detailed system architectures with clearly defined boundaries, subsystem responsibilities, interfaces, and technical constraints. Break complex architectural challenges into interconnected tasks with defined inputs, deliverables, dependencies, and expert responsibilities. Define system-level requirements and ensure alignment between subsystem specifications and overall project objectives. Evaluate architectural alternatives and conduct technical trade studies to assess feasibility, performance, cost, reliability, and other engineering considerations. Establish and document interfaces and dependencies between subsystems and engineering disciplines. Define technical objectives, acceptance criteria, and evaluation frameworks for assessing architectural solutions. Apply systems engineering principles to identify integration risks, technical conflicts, and architectural gaps. Review system architectures and assess whether proposed solutions meet functional and operational requirements. Ensure project scenarios reflect realistic engineering practices and industry standards. Requirements Substantial professional experience as a Systems Architect, Chief Systems Architect, or in a comparable technical leadership role. Proven experience owning the architecture of complex engineering systems. Demonstrated ability to lead and coordinate multidisciplinary technical teams. Strong expertise in system architecture design, technical trade studies, and interface management. Experience conducting architecture reviews and evaluating system-level design decisions. Ability to translate complex project objectives into structured architectures, technical requirements, and measurable evaluation criteria. Understanding of subsystem dependencies, system boundaries, integration challenges, and engineering constraints. English proficiency at B2 level or higher. Strong analytical, organizational, and technical communication skills.

Location: Brazil; Argentina; Colombia; Chile; Peru; Uruguay About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Job We are seeking an experienced Systems Architect or Chief Systems Architect to contribute to a specialized AI training project focused on complex, real-world engineering workflows. This role is intended for senior engineering professionals with proven experience defining system architectures, managing technical interfaces, and leading multidisciplinary engineering teams. You will use your expertise to design realistic engineering scenarios, translate project objectives into structured system architectures, coordinate contributions from different technical specialists, and establish clear evaluation criteria. The ideal candidate understands how complex systems are structured across mechanical, electrical, hardware, software, and manufacturing disciplines, and can identify dependencies, constraints, and engineering trade-offs throughout the system lifecycle. Previous AI experience is not required. CONTRACT: Contractor LOCATION: Remote – US-based candidates preferred; worldwide candidates with strong relevant experience considered. PROJECT: AI training focused on complex engineering workflows. AI EXPERIENCE: Not required. FOCUS AREAS: Systems architecture, multidisciplinary engineering, interface management, technical trade studies, and system integration. Key Responsibilities Design realistic engineering projects that require architectural decisions across multiple technical disciplines, including mechanical, electrical, hardware, software, and manufacturing. Translate high-level project objectives into detailed system architectures with clearly defined boundaries, subsystem responsibilities, interfaces, and technical constraints. Break complex architectural challenges into interconnected tasks with defined inputs, deliverables, dependencies, and expert responsibilities. Define system-level requirements and ensure alignment between subsystem specifications and overall project objectives. Evaluate architectural alternatives and conduct technical trade studies to assess feasibility, performance, cost, reliability, and other engineering considerations. Establish and document interfaces and dependencies between subsystems and engineering disciplines. Define technical objectives, acceptance criteria, and evaluation frameworks for assessing architectural solutions. Apply systems engineering principles to identify integration risks, technical conflicts, and architectural gaps. Review system architectures and assess whether proposed solutions meet functional and operational requirements. Ensure project scenarios reflect realistic engineering practices and industry standards. Requirements Substantial professional experience as a Systems Architect, Chief Systems Architect, or in a comparable technical leadership role. Proven experience owning the architecture of complex engineering systems. Demonstrated ability to lead and coordinate multidisciplinary technical teams. Strong expertise in system architecture design, technical trade studies, and interface management. Experience conducting architecture reviews and evaluating system-level design decisions. Ability to translate complex project objectives into structured architectures, technical requirements, and measurable evaluation criteria. Understanding of subsystem dependencies, system boundaries, integration challenges, and engineering constraints. English proficiency at B2 level or higher. Strong analytical, organizational, and technical communication skills.

Location: United Kingdom; Germany; Poland; South Africa; United Arab Emirates; Egypt About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Job We are seeking an experienced Systems Architect or Chief Systems Architect to contribute to a specialized AI training project focused on complex, real-world engineering workflows. This role is intended for senior engineering professionals with proven experience defining system architectures, managing technical interfaces, and leading multidisciplinary engineering teams. You will use your expertise to design realistic engineering scenarios, translate project objectives into structured system architectures, coordinate contributions from different technical specialists, and establish clear evaluation criteria. The ideal candidate understands how complex systems are structured across mechanical, electrical, hardware, software, and manufacturing disciplines, and can identify dependencies, constraints, and engineering trade-offs throughout the system lifecycle. Previous AI experience is not required. CONTRACT: Contractor LOCATION: Remote – US-based candidates preferred; worldwide candidates with strong relevant experience considered. PROJECT: AI training focused on complex engineering workflows. AI EXPERIENCE: Not required. FOCUS AREAS: Systems architecture, multidisciplinary engineering, interface management, technical trade studies, and system integration. Key Responsibilities Design realistic engineering projects that require architectural decisions across multiple technical disciplines, including mechanical, electrical, hardware, software, and manufacturing. Translate high-level project objectives into detailed system architectures with clearly defined boundaries, subsystem responsibilities, interfaces, and technical constraints. Break complex architectural challenges into interconnected tasks with defined inputs, deliverables, dependencies, and expert responsibilities. Define system-level requirements and ensure alignment between subsystem specifications and overall project objectives. Evaluate architectural alternatives and conduct technical trade studies to assess feasibility, performance, cost, reliability, and other engineering considerations. Establish and document interfaces and dependencies between subsystems and engineering disciplines. Define technical objectives, acceptance criteria, and evaluation frameworks for assessing architectural solutions. Apply systems engineering principles to identify integration risks, technical conflicts, and architectural gaps. Review system architectures and assess whether proposed solutions meet functional and operational requirements. Ensure project scenarios reflect realistic engineering practices and industry standards. Requirements Substantial professional experience as a Systems Architect, Chief Systems Architect, or in a comparable technical leadership role. Proven experience owning the architecture of complex engineering systems. Demonstrated ability to lead and coordinate multidisciplinary technical teams. Strong expertise in system architecture design, technical trade studies, and interface management. Experience conducting architecture reviews and evaluating system-level design decisions. Ability to translate complex project objectives into structured architectures, technical requirements, and measurable evaluation criteria. Understanding of subsystem dependencies, system boundaries, integration challenges, and engineering constraints. English proficiency at B2 level or higher. Strong analytical, organizational, and technical communication skills.

Location: United Kingdom; Germany; Poland; South Africa; United Arab Emirates; Egypt About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Job We are seeking an experienced Chief Engineer or Senior Mechanical Engineer to contribute to a specialized AI training project focused on complex, real-world engineering workflows. This role is designed for senior engineering professionals with a strong background in mechanical design, multidisciplinary project leadership, engineering analysis, and technical execution. You will use your industry experience to design realistic engineering projects, translate complex objectives into practical technical requirements, coordinate contributions from different engineering disciplines, and establish measurable evaluation criteria. The ideal candidate has experience leading projects from initial concept through design, manufacturing, testing, and delivery, and can break down complex engineering challenges into structured tasks with clear technical expectations. Previous AI experience is not required. CONTRACT: Contractor LOCATION: Remote – US-based candidates preferred; worldwide candidates with strong relevant experience considered. PROJECT: AI training focused on complex engineering workflows. AI EXPERIENCE: Not required. FOCUS AREAS: Mechanical engineering, technical leadership, multidisciplinary project design, engineering analysis, manufacturing, and testing. Key Responsibilities Design realistic engineering projects involving mechanical design, engineering analysis, manufacturing, and testing. Develop project scenarios that reflect practical engineering challenges and industry workflows. Translate high-level project objectives into detailed engineering requirements, operating constraints, and measurable acceptance criteria. Break complex engineering problems into interconnected tasks with clearly defined inputs, outputs, dependencies, and deliverables. Define responsibilities and technical contributions for specialists across multiple engineering disciplines. Establish technical evaluation criteria to assess the quality, feasibility, and completeness of engineering solutions. Apply engineering judgment to assess design decisions, technical trade-offs, and project constraints. Incorporate design verification, manufacturing considerations, testing procedures, and root-cause analysis into project workflows. Ensure that project tasks reflect realistic engineering standards, processes, and professional practices. Requirements Substantial professional experience as a Chief Engineer, Senior Mechanical Engineer, or in a comparable engineering leadership position. Proven experience leading complex engineering projects involving multiple technical disciplines. Strong expertise in mechanical design and engineering analysis. Practical knowledge of Design for Manufacturing and Assembly (DFMA) principles. Experience with technical verification, engineering testing, and root-cause analysis. Ability to translate complex engineering objectives into structured requirements, technical tasks, and measurable acceptance criteria. Experience coordinating technical contributions and managing dependencies across engineering teams. English proficiency at B2 level or higher. Strong analytical, organizational, and technical communication skills.

Location: Brazil; Argentina; Colombia; Chile; Peru; Uruguay About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Job We are seeking an experienced Chief Engineer or Senior Mechanical Engineer to contribute to a specialized AI training project focused on complex, real-world engineering workflows. This role is designed for senior engineering professionals with a strong background in mechanical design, multidisciplinary project leadership, engineering analysis, and technical execution. You will use your industry experience to design realistic engineering projects, translate complex objectives into practical technical requirements, coordinate contributions from different engineering disciplines, and establish measurable evaluation criteria. The ideal candidate has experience leading projects from initial concept through design, manufacturing, testing, and delivery, and can break down complex engineering challenges into structured tasks with clear technical expectations. Previous AI experience is not required. CONTRACT: Contractor LOCATION: Remote – US-based candidates preferred; worldwide candidates with strong relevant experience considered. PROJECT: AI training focused on complex engineering workflows. AI EXPERIENCE: Not required. FOCUS AREAS: Mechanical engineering, technical leadership, multidisciplinary project design, engineering analysis, manufacturing, and testing. Key Responsibilities Design realistic engineering projects involving mechanical design, engineering analysis, manufacturing, and testing. Develop project scenarios that reflect practical engineering challenges and industry workflows. Translate high-level project objectives into detailed engineering requirements, operating constraints, and measurable acceptance criteria. Break complex engineering problems into interconnected tasks with clearly defined inputs, outputs, dependencies, and deliverables. Define responsibilities and technical contributions for specialists across multiple engineering disciplines. Establish technical evaluation criteria to assess the quality, feasibility, and completeness of engineering solutions. Apply engineering judgment to assess design decisions, technical trade-offs, and project constraints. Incorporate design verification, manufacturing considerations, testing procedures, and root-cause analysis into project workflows. Ensure that project tasks reflect realistic engineering standards, processes, and professional practices. Requirements Substantial professional experience as a Chief Engineer, Senior Mechanical Engineer, or in a comparable engineering leadership position. Proven experience leading complex engineering projects involving multiple technical disciplines. Strong expertise in mechanical design and engineering analysis. Practical knowledge of Design for Manufacturing and Assembly (DFMA) principles. Experience with technical verification, engineering testing, and root-cause analysis. Ability to translate complex engineering objectives into structured requirements, technical tasks, and measurable acceptance criteria. Experience coordinating technical contributions and managing dependencies across engineering teams. English proficiency at B2 level or higher. Strong analytical, organizational, and technical communication skills.

Location: United States; Canada; Mexico; Costa Rica; Panama; Guatemala About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Job We are seeking an experienced Chief Engineer or Senior Mechanical Engineer to contribute to a specialized AI training project focused on complex, real-world engineering workflows. This role is designed for senior engineering professionals with a strong background in mechanical design, multidisciplinary project leadership, engineering analysis, and technical execution. You will use your industry experience to design realistic engineering projects, translate complex objectives into practical technical requirements, coordinate contributions from different engineering disciplines, and establish measurable evaluation criteria. The ideal candidate has experience leading projects from initial concept through design, manufacturing, testing, and delivery, and can break down complex engineering challenges into structured tasks with clear technical expectations. Previous AI experience is not required. CONTRACT: Contractor LOCATION: Remote – US-based candidates preferred; worldwide candidates with strong relevant experience considered. PROJECT: AI training focused on complex engineering workflows. AI EXPERIENCE: Not required. FOCUS AREAS: Mechanical engineering, technical leadership, multidisciplinary project design, engineering analysis, manufacturing, and testing. Key Responsibilities Design realistic engineering projects involving mechanical design, engineering analysis, manufacturing, and testing. Develop project scenarios that reflect practical engineering challenges and industry workflows. Translate high-level project objectives into detailed engineering requirements, operating constraints, and measurable acceptance criteria. Break complex engineering problems into interconnected tasks with clearly defined inputs, outputs, dependencies, and deliverables. Define responsibilities and technical contributions for specialists across multiple engineering disciplines. Establish technical evaluation criteria to assess the quality, feasibility, and completeness of engineering solutions. Apply engineering judgment to assess design decisions, technical trade-offs, and project constraints. Incorporate design verification, manufacturing considerations, testing procedures, and root-cause analysis into project workflows. Ensure that project tasks reflect realistic engineering standards, processes, and professional practices. Requirements Substantial professional experience as a Chief Engineer, Senior Mechanical Engineer, or in a comparable engineering leadership position. Proven experience leading complex engineering projects involving multiple technical disciplines. Strong expertise in mechanical design and engineering analysis. Practical knowledge of Design for Manufacturing and Assembly (DFMA) principles. Experience with technical verification, engineering testing, and root-cause analysis. Ability to translate complex engineering objectives into structured requirements, technical tasks, and measurable acceptance criteria. Experience coordinating technical contributions and managing dependencies across engineering teams. English proficiency at B2 level or higher. Strong analytical, organizational, and technical communication skills.

Location: India; Australia; Japan; Singapore; Philippines; New Zealand About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Job We are seeking an experienced Chief Engineer or Senior Mechanical Engineer to contribute to a specialized AI training project focused on complex, real-world engineering workflows. This role is designed for senior engineering professionals with a strong background in mechanical design, multidisciplinary project leadership, engineering analysis, and technical execution. You will use your industry experience to design realistic engineering projects, translate complex objectives into practical technical requirements, coordinate contributions from different engineering disciplines, and establish measurable evaluation criteria. The ideal candidate has experience leading projects from initial concept through design, manufacturing, testing, and delivery, and can break down complex engineering challenges into structured tasks with clear technical expectations. Previous AI experience is not required. CONTRACT: Contractor LOCATION: Remote – US-based candidates preferred; worldwide candidates with strong relevant experience considered. PROJECT: AI training focused on complex engineering workflows. AI EXPERIENCE: Not required. FOCUS AREAS: Mechanical engineering, technical leadership, multidisciplinary project design, engineering analysis, manufacturing, and testing. Key Responsibilities Design realistic engineering projects involving mechanical design, engineering analysis, manufacturing, and testing. Develop project scenarios that reflect practical engineering challenges and industry workflows. Translate high-level project objectives into detailed engineering requirements, operating constraints, and measurable acceptance criteria. Break complex engineering problems into interconnected tasks with clearly defined inputs, outputs, dependencies, and deliverables. Define responsibilities and technical contributions for specialists across multiple engineering disciplines. Establish technical evaluation criteria to assess the quality, feasibility, and completeness of engineering solutions. Apply engineering judgment to assess design decisions, technical trade-offs, and project constraints. Incorporate design verification, manufacturing considerations, testing procedures, and root-cause analysis into project workflows. Ensure that project tasks reflect realistic engineering standards, processes, and professional practices. Requirements Substantial professional experience as a Chief Engineer, Senior Mechanical Engineer, or in a comparable engineering leadership position. Proven experience leading complex engineering projects involving multiple technical disciplines. Strong expertise in mechanical design and engineering analysis. Practical knowledge of Design for Manufacturing and Assembly (DFMA) principles. Experience with technical verification, engineering testing, and root-cause analysis. Ability to translate complex engineering objectives into structured requirements, technical tasks, and measurable acceptance criteria. Experience coordinating technical contributions and managing dependencies across engineering teams. English proficiency at B2 level or higher. Strong analytical, organizational, and technical communication skills.

Location: United States; Canada; Mexico; Costa Rica; Panama; Guatemala About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Job We are seeking experienced Art Buying and Photography Representation Experts to evaluate creative briefs, photography commissions, cost estimates and image licensing arrangements across advertising, publishing, commercial photography and creative industries. In this role, you will apply your professional expertise to assess whether creative talent, project budgets, licensing agreements and usage rights are appropriate for specific client requirements. You will review real-world industry scenarios, identify potential commercial or contractual issues, and provide clear, structured explanations supporting your professional judgments. This opportunity is ideal for professionals with experience in art buying, photo buying, creative production, photography representation, artist management or image licensing. Role Type: Independent Contractor Location: Remote Key Responsibilities Evaluate Creative Briefs: Assess project briefs and determine which photographers, artists or visual creatives are best suited to the creative direction and client requirements. Review Cost Estimates: Evaluate photography and creative production budgets, identifying missing costs, unreasonable charges, pricing inconsistencies or inflated estimates. Assess Licensing Agreements: Review image usage terms, including media, territory, duration, exclusivity and permitted applications. Evaluate Commercial Terms: Determine whether proposed fees and licensing arrangements are appropriate for the intended usage and commercial value of the work. Identify Contractual Risks: Flag potential issues involving contracts, model releases, property releases, insurance, production logistics and delivery requirements. Assess Talent Selection: Evaluate the suitability of photographers and visual artists based on their portfolios, experience, creative style and project requirements. Provide Professional Recommendations: Compare different creative, commercial or licensing options and identify the most appropriate solution. Document Evaluations: Provide concise written explanations supporting each assessment, recommendation or decision. Requirements Professional experience in one or more of the following roles: Art Buyer Photo Buyer Creative Producer Agency Producer Photography Agent Artist Representative Licensing Manager Photo Editor Related creative or commercial production positions. Demonstrated experience working with professional photography or visual art commissions. Practical experience reviewing creative briefs, negotiating fees, evaluating estimates and managing commercial agreements. Working knowledge of photography licensing, image usage rights, copyright and commercial permissions. Understanding of industry pricing structures and the relationship between usage rights and licensing fees. Ability to identify contractual, financial and operational risks. Strong analytical and decision-making skills. Excellent written English and the ability to communicate professional assessments clearly.