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Location: Redwood City, CA, United States WHAT IS BOX? Box is the world’s leader in Intelligent Content Management. We are trusted by more than 115K organizations around the world today, including nearly 70% of the Fortune 500 and leaders across deeply regulated industries to protect their data, fuel collaboration, and power critical workflows with secure, enterprise AI. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. Founded in 2005, Box is headquartered in Redwood City, CA, and we have offices across the United States, Europe, and Asia. WHY BOX NEEDS YOU Box provides developers a complete set of pre-built UI components and APIs for rendering, searching, and managing files and AI agents, allowing developers to build secure, enterprise-ready, and feature-rich applications. These capabilities enable developers to extend the Box platform to address new use cases, streamline operations and connect to existing applications and systems. We’re hiring a world-class B2B Senior Product Marketing Manager with developer tools and platform experience to lead all GTM efforts. You’ll own the full spectrum of product marketing, from industry positioning and messaging to content development and integrated go-to-market planning, to partnering with the Box developer relations team to engage deeply and credibly with the community. This role reports to the VP of Product Marketing and partners closely with developer relations, product, sales, marketing, business development, and customer success. WHAT YOU’LL DO Build and own the narrative, positioning, and messaging tied to all capabilities of the Box Platform targeting developers Develop and execute integrated GTM strategies for the Box Platform, partnering with campaign, field, and partner marketing to drive pipeline creation and acceleration. Create high-impact content for 1st and 3rd party external channels (web, blogs, thought leadership, e-books, webinars, events) Deliver ongoing enablement to sales and customer success on developer use cases and personas, competitive dynamics, and objection handling. Partner with product and technical PMMs to align roadmap and messaging to developer use cases needs. Act as a thought leader and spokesperson: join customer meetings, analyst briefings, conferences, and speaking opportunities to elevate Box’s presence in the developer community. Collaborate with strategic accounts and partners to develop case studies, reference stories, and co-marketing that showcase measurable business outcomes. Use AI-first workflows to analyze market signals, refine ICPs and personas, test messaging, and accelerate content creation and competitive research. WHO YOU ARE 4+ year experience in working with developer, development tools and platforms, with some hands-on development experience as well as experience with developer outreach as a marketer, evangelist or outbound product manager. Strong interest and understanding of developer trends, particularly the state of AI tools and infrastructure. Participation in developer communities, both online and in-person. A dynamic storyteller with a point of view on the intersection of AI and development. Familiarity with enterprise buying cycles, multi-stakeholder sales, and the needs of life sciences IT and line-of-business buyers; able to translate technical capabilities into business outcomes. Demonstrated ability to craft and deliver executive-ready narratives and presentations; strong public speaking skills and comfort representing Box externally. Proven cross-functional leader and player-coach who influences without authority and drives initiatives across product, sales, CS, and marketing. AI-first mindset with a bias for action; comfortable operating in fast-moving environments and using AI tools to 10x research, insights, and content velocity.. Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week. Your Recruiter will share more about how we work and company culture during the hiring process. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form . Reasonable accommodations may include scheduling adjustments, document dictation and beyond. Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance.  The Fair Chance Ordinance is provided here . For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here . Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information on benefits, check out our healthcare benefits and additional Box Benefits + Perks . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . #LI-HYBRID Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information , check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . Redwood City Pay Range $165,000 — $206,500 USD

Location: Brazil Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role This role partners directly with enterprise customers building and deploying conversational agents on the ElevenLabs Agents Platform. The focus is hands-on execution - advising on agent design, personas, conversation flows, tool integrations, and voice customization to deliver clear business outcomes in production environments. You will guide customers through best practices for deploying and scaling agents across web, mobile, and telephony, and for integrating agents with existing data sources and systems. You will analyze agent performance data and conversational logs to identify friction points and optimization opportunities that improve accuracy, user experience, and reliability at scale. In parallel, you will own expansion outcomes across a defined portfolio of enterprise accounts. Success is measured by net revenue retention and sustained multi-product adoption. You will identify expansion opportunities, drive cross-sell through deeper agent usage, and partner with Sales, Engineering, and Customer Success to convert technical success into durable revenue growth and long-term customer commitment. What you bring - 5+ years of Customer Success or Account Management experience supporting complex B2B SaaS, Developer Tools, or AI/ML products in Brazil - Fluent in Portuguese and English - Familiarity and experience with building and deploying AI agents - Familiarity and experience with API Integrations, and comfort and knowledge of navigating SDKs - Proven experience driving revenue outcomes, including owning a revenue quota and identifying, qualifying, and closing cross-sell opportunities - Excellent problem-solving, technical, and analytical skills to address customer needs and concerns - Strong communication and interpersonal skills, with the ability to build and maintain relationships with customers at all levels of an organization - Strong understanding of the LATAM market landscape and cultural nuances - Self-motivated and able to work independently in a remote or distributed team environment #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Remote - Argentina; Brazil;Chile; Costa Rica Why You'll Love This Role: In this role, you will have the opportunity to directly shape our data ecosystem by building robust pipelines and applying modern software engineering principles like version control and automated testing. You’ll work closely with key stakeholders to drive data-driven decision-making, lead high-impact initiatives, and manage large-scale infrastructure and automation. You will lead and mentor junior engineers and set the technical direction for the analytical team. If you thrive on transforming complex data into reliable, actionable insights while building scalable analytics systems, this position offers the ideal platform to showcase and expand your expertise. What You'll Be Doing: Set the technical direction for the analytics team (architecture, conventions, approach). Raise the technical floor through code review, design reviews, and pairing, holding a consistent bar for what ships. Own the architecture of our data models, with accountability for long-term maintainability rather than just the models you write yourself. Own the semantic layer, metric definitions, and governed self-service, so stakeholders can answer their own questions correctly. Act as the primary technical partner to Product, Finance, Marketing, and Engineering, translating what they need into a roadmap the team can execute. Negotiate scope directly with stakeholders. Drive a cadence of proactive analysis so the team surfaces questions the business hasn't asked, rather than waiting for tickets. Define the team's data testing strategy and govern how business logic is validated across the analytics layer. Own the operational health of the analytics layer (monitoring, alerting, incident response, and release readiness for what the team ships). Mentor the engineers around you and build shared understanding through documentation and technical presentations. Lead large-scale migrations and performance efforts, setting the approach and enabling the team to execute rather than executing alone. About You: 8+ Years experience working with data in a software environment. Required Skills: Mastered proficiency in SQL and Python; advanced experience managing business semantic layer tooling, data catalog tooling and  data integrity testing frameworks. Experience with dbt orchestration and best practices. You have a track record of working autonomously and proactively, with deep domain knowledge of data analysis and data systems. Required Tech Stack: SQL, Python, relational datastores, DAG tooling (like Dagster or Airflow), dbt and Tableau. Experience with cloud-based infrastructure (AWS, GCP, Terraform) and document, graph, or schema-less datastores. Why you’ll love working at Newsela: Make A Difference: No matter your role or department, the work you do each day helps share the future of education and improves the lives of students and teachers. All offers of employment are contingent upon the successful completion of a background check as part of our pre-employment process. About Newsela: Newsela is a leading education technology company dedicated to meaningful classroom learning for every student. We deliver integrated, AI-powered solutions designed to unlock student engagement, empower teachers, and drive meaningful learning outcomes. Our suite of products supports knowledge and skill development, writing practice, daily instruction, assessment, and data-informed decision-making across K–12 classrooms. Grounded in learning science research, Newsela’s solutions integrate content, assessment, and analytics to help educators track progress, understand student outcomes, and deliver high-impact instruction that supports every learner. #LI-Remote

Location: USA - Austin (dbt) 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. Solutions Engineer, Commercial (Austin) About the role As a Solutions Engineer (SE) on our team, you will help prospects understand the value of the combined Fivetran and dbt platform across the full data lifecycle: moving, transforming, and trusting their data. You’ll lead technical discussions with prospective customers, uncover their data challenges, identify their technical requirements, and demonstrate how our products work together through live demos, technical workshops, and structured proofs of value. You’ll be a trusted advisor to a wide range of customers, from fast-growing startups to established enterprise data teams, helping them solve real business problems with our platform and playing a key role in winning deals and driving the business forward. Internally, you’ll partner closely with Account Executives, contribute to building and refining our processes and playbooks as the two teams integrate, and act as the voice of the customer to ensure we continue developing products that solve real problems and delight our users. Location: Austin, TX (hybrid). This is a full-time position, and candidates must be located in Austin and able to work in the office two days a week (Tuesday and Thursday). What you'll do Spend the majority of your time on pre-sales opportunities, working with customers to understand their business, use cases, and requirements for data movement, transformation, and governance Consult with prospects to uncover their data challenges and show how Fivetran and dbt together can alleviate pain points and support their goals, from ingestion through modeling to analytics and AI Lead structured, curiosity-driven discovery that qualifies opportunities early and maps technical requirements to business outcomes, success criteria, and the customer’s decision process Own the demonstration of technical and business impact by delivering tailored demos and technical presentations of the platform to both technical and business audiences Articulate business value, not just features: work with your Account Executive to build the business case (e.g. time-to-value, cost savings, ROI) and tell a clear, data-backed story to technical and executive stakeholders Ensure the technical win by running an organized proof-of-value process, from defining success criteria through final readout Design and architect scalable, reliable data solutions, and guide customers through architectural questions, including source systems, cloud and on-premises networking, self-hosted and SaaS deployment options, and security requirements Collaborate closely with Account Executives by building strong, trust-based relationships and offering strategic input throughout the deal process, including account planning, opportunity prioritization/qualification, and pipeline generation strategy Proactively generate demand in your territory through technical initiatives such as workshops, webinars, industry events, and account-based marketing activities Maintain ongoing relationships with technical stakeholders within your accounts, build champions, and identify opportunities where customers can benefit from both products Partner with Product, Engineering, and other internal teams to represent the voice of the customer, relay field feedback, and drive improvements across the combined company Contribute to our knowledge-sharing loop by helping improve team processes, refining assets and playbooks, and enabling and mentoring teammates through collaboration Create and deliver external-facing content through live events, blog posts, recorded tutorials, or other educational resources Use AI tools to work smarter across research, discovery preparation, demo building, and follow-up, and help customers shape practical AI use cases on trusted, well-modeled data Stay up to date on the latest technologies and trends in the data industry through ongoing training and certification, and help teammates work through advanced technical or business roadblocks What you bring 2+ years of related industry experience (ideally 5–8) in data replication, sales engineering, analytics engineering, data consulting, or a related technical field, including at least 2 years in a customer-facing role Strong technical foundation in modern data architectures, including cloud data warehouses, the modern data stack, and proficiency in SQL Hands-on experience with other data replication or traditional ETL tools Experience with transformation tooling, data catalogs, and BI tools Working knowledge of cloud infrastructure and networking, both in the cloud and on-premises Demonstrated ability to work with customers to review complex existing architectures and provide guidance on how to improve them by leveraging technology Ability to work with a cross-functional sales team to formulate and execute an end-to-end deal cycle Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to both technical and business leadership Business acumen and value storytelling: you connect technical capabilities to business outcomes and can talk about how a customer’s processes improve, not only how the product works Genuine curiosity and empathy in customer conversations: active listening, asking the next question, and understanding what success looks like for the buyer Strong problem-solving and analytical skills, and the ability to operate effectively in ambiguous, fast-paced environments, adapt quickly, and think on your feet during customer conversations Experience working asynchronously as part of a partially remote, distributed team A strong team-player mindset, both within the SE team as we evolve our ways of working and in daily collaboration with Account Executives as part of a deal team Openness to travel (up to 25%); we value in-person relationship building, both internally and externally, and expect willingness to travel to events as needed A Bachelor’s degree or equivalent work experience What Will Make You Stand Out Hands-on experience with dbt; dbt certification is a bonus Basic Python competency and advanced SQL knowledge Proven experience in a pre-sales technical role Hands-on experience with database replication and data movement, including sources such as Oracle, SQL Server, Postgres, MySQL, and NoSQL databases Hands-on experience on Snowflake, Databricks, Google BigQuery and/or other cloud data platforms) Experience with self-hosted and SaaS software applications and their supporting infrastructure Specialized expertise in security posture Experience developing partner relationships Understanding of popular sales methodologies/frameworks such as MEDDPICC or Command of the Message Experience in data engineering or AI/ML projects A cloud provider certification (AWS, Azure, GCP) or a data platform certification (e.g. Snowflake, Databricks) Practical, everyday use of AI tools in your pre-sales workflow Hiring Process Interview with Talent Acquisition Partner Interview with Hiring Manager Technical Interview Team Interview Final Panel Interview OTE (On Target Earning) $160,000 — $190,000 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: U.S. (Remote) Workplace: Remote ABOUT CLIPBOARD Our mission is to uplift as many communities as possible. We do this through our app-based marketplace that connects healthcare professionals with the workplaces that need amazing workers. This enables hundreds of thousands of people to achieve financial stability for themselves and their families while providing essential care to millions of people across the U.S. Founded in 2016, we are a remote-first team of over 1,000 people building a top Y-Combinator company https://www.ycombinator.com/topcompanies/ and have been profitable since 2022. We’re the leader in Long-Term Care staffing and are rapidly expanding into Home Health, Hospitals, and more, meaning we have more work to do than people to do it, and are growing our team to support millions more people and their communities. ABOUT THIS ROLE The Strategy & Ops Senior Associate role is an experienced generalist role at Clipboard suited for the “all-around athlete” type who can do it all and wants exposure to a range of problems and opportunities. You’re likely someone who’s interested in and capable of solving different problem types – you’re resourceful, adaptable, and confident you can figure it out if you can sink your teeth in deep enough. Your first “tour of duty” will be on the Billing team (see more below). The specific projects you take on will depend on your strengths and what we learn during the recruiting process and your first days at Clipboard; that being said, here is a list of example initiatives to give you an idea: - Build an internal predictive analytics model and corresponding underwriting process to catch bad payers early with high accuracy to inform our contracting decisions and risk mitigation tactics - Research, vet, and onboard a new vendor that embeds AI agents into our customer-facing collections efforts - Redesign our process for converting workplaces to new methods of payment, such as getting customers who send checks to start paying us via eCheck to speed up the cash conversion process - Manage a team of Billing Account Managers   FIRST TOUR OF DUTY – QUICK BACKGROUND ON BILLING Our most immediate need right now is on the Billing team. The TLDR is that we want to maximize our profitability by collecting money as fast as possible and minimizing losses, while preserving the customer experience, all in service of reliably converting revenue into cash (the lifeline of a capital-intensive business like ours). This in a way is “ensuring high-quality growth” for the company. Although Clipboard provides a service where workplaces can find qualified professionals to fill shifts, we are in many ways a lending company at our core since we pay professionals immediately after they work a shift. For illustrative purposes: a nurse works a shift → we pay the nurse $100 immediately with our cash → the workplace pays us $120 a month later. We extend debt to workplaces using cash we borrow, with interest, from an Asset-Backed Line (ABL) of credit – workplaces use that debt to pay their staffing costs, and we expect to be paid back by the workplaces at a later date based on agreed-upon net terms. Billing is doing the critical work of converting our revenue into cash that we put in the bank. Otherwise, money we cannot collect is money we’ve already burned. With thousands of customers operating in different regulatory environments, under different conditions, with nuanced capital structures and corporate setups, and using varied complicated processes…this can be hard to do at scale. We consistently fight a multi-faceted battle: a battle wherein we must maximize the speed at which we recognize revenue, maximize the margin associated with each shift, and maximize the customer experience, all without letting one unduly impact the other. Optimizing collections is critical to make sure Clipboard is generating sustainable, high-quality growth and turning top-line revenue into cash that we use to service or grow other parts of the business, and you will help us do that.   WHO WE’RE LOOKING FOR We find those who are most successful in this type of role: - Are insatiably curious and notice non-obvious clues and patterns: Curiosity https://creatingvalue.substack.com/i/46535664/noticing-and-curiosity sits atop our company values. Understanding something from first principles and getting to the root cause of the problem will often reveal the best solution, and a natural and unwavering curiosity to keep asking questions and digging will take you most of the way. - Roll up their sleeves and go to the source: There are multiple ways to say this: touching reality, dogfooding, seeing for yourself, going to the front-lines, etc. Don’t just take someone’s word for it – go find out yourself by testing the feature, or listening to the agent call, or calling the customer, or executing the workflow. This is how you seek truth. - Bring a tenacity and persistence to problem-solving: You’ll hit walls and find yourself in uncertain and unfamiliar situations. If you can sit with the uncertainty, look at the problem from new angles, and keep applying pressure to a problem – you’ll position yourself for breakthroughs. - Bounce back from failure quickly: You’ll make mistakes, move in the wrong direction, and stumble from time-to-time. Just avoid big mistakes and don’t make the same mistakes twice, and learn from them quickly. Worry less about failing and more about losing momentum in your feedback loop. If you fail cheaply and quickly, that's worth the lesson/learning you get in return. While performance on your case and interviews during the hiring process is the most important aspect of your candidacy, your years of relevant working experience will be taken into consideration for both (a) the work you’re placed into once hired and (b) compensation.   WHY JOIN CLIPBOARD? - 100% Remote – Always. Work from anywhere in the world. - Fast-Paced Startup Environment. Join a company that values curiosity, independence, and growth. - A Hiring Process That Rewards Skills, Not Just Experience. Every applicant gets a fair shot—our selection is based on real-world problem-solving ability, not just credentials. - Opportunity to make a significant impact with our workplace customers.   HIRING PROCESS 1. Application 2. Case Study 1 3. Interview 1 4. Case Study 2 [OPTIONAL] 5. Interview 2 [OPTIONAL] 6. Interview with Head of Operations 7. Interview with Head of People   SYSTEM REQUIREMENTS To succeed in this role, you must have: - A reliable laptop/desktop (no Chromebooks or Linux OS). - Minimum 20 Mbps wired internet connection. - Wired headset for clear communication. - A quiet, distraction-free workspace. - Stable power and internet connectivity   *After submitting your application, please check your spam folder periodically over the next few days for updates. #LI-DNI Quick Note on Scammers: Clipboard would never ask you for money or your bank details to participate in our hiring process. Report any scammers impersonating the Clipboard hiring team members here https://forms.gle/SyGaxHFbon7Hg9fW6.

Компания: Omega Solution. Локация: Польша. Формат работы: удалённо. Проект: Build and maintain integrations and automation processes around SQL Server and the Microsoft 365 ecosystem. The focus is on backend and automation development, not web applications. Требования: — Strong commercial experience with Python 3.12+ — Experience developing backend/batch applications (no Django/FastAPI required) — Solid knowledge of SQL Server, pyodbc и SQLAlchemy — Experience integrating with Microsoft 365: SharePoint Online, Microsoft Graph API, MSAL, Service Principals, Certificate-based authentication — Experience with pandas — Familiarity with pytest — Experience deploying applications to Windows Server/VM — Experience with Azure DevOps — Building standalone executables using PyInstaller Плюсы: — Docker — Azure Functions — Azure Key Vault — Microsoft Teams — SharePoint — GraphQL Условия: — полная занятость — удалённо (Польша) — зарплата от 3 000 $

Location: Tokyo, Japan WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE As a Forward Deployed Architect on Notion’s Services team, you will help customers turn AI ambition into operational reality and unlock the full potential of our platform. You will partner directly with customers to design, build, and launch AI-native workflows that drive adoption, usage, and measurable business outcomes. This role sits at the center of Notion’s workflow-led GTM motion. You will partner directly with customers to understand their business goals, operating processes, technical environment, governance needs, and adoption barriers, then translate that context into scalable Notion architectures that drive measurable value. You will be hands-on across discovery, solution design, workspace architecture, workflow build, AI implementation, launch planning, adoption and handoff. You will work deeply with customers to define what Notion should own, where it should integrate with existing systems, and how Notion can become a durable operating layer for their teams. The best candidates combine strong consultative discovery, systems thinking, technical fluency, AI-native workflow design, implementation judgment and exceptional customer presence. You should be comfortable reasoning through technical tradeoffs, designing scalable solutions, and partnering closely with Forward Deployed Engineering when deeper engineering support is required. WHAT YOU'LL ACHIEVE - Partner with customers on forward deployed engagements from discovery through launch, translating business goals and workflow requirements into scalable clear solution design and Notion solutions that drive durable adoption. - Design scalable Notion architectures that translate customer workflows, permission and governance needs, integrations and AI use cases into optimal workspaces that are easy to adopt, manage and scale. - Design and deploy AI-native workflows using Notion AI, custom agents, automations, Workers, Developer Platform capabilities and adjacent AI tools, partnering with Forward Deployed Engineering when advanced technical depth is needed for migrations, API constraints, security architecture or frontier implementation. - Help customers navigate change by designing adoption plans, enablement materials and launch approaches that drive sustained usage and measurable business value. - Identify repeatable patterns across customer engagements and convert them into packaged solutions, templates, reference architectures, run books, enablement assets and product feedback. - Serve as a trusted advisor to customers, simplifying complex technical requirements, making practical tradeoff recommendations and helping stakeholders align around a clear implementation path. - Partner cross-functionally with GTM, Product, Engineering, PMM, Services leadership and the partner ecosystem to scale what works beyond individual customer engagements. - Create clear implementation plans, handoff materials and success measures that align customers and internal teams on the path to value. SKILLS YOU'LL NEED TO BRING - 5+ years of experience in tech services/consulting, solutions architecture, implementation, customer engineering, or a similar customer-facing role. - Proven ability to translate ambiguous customer goals into clear workflows, implementation plans, solution architectures, and measurable success criteria. - Strong consultative discovery skills, including the ability to map current-state workflows, identify customer pain, understand operating models, surface technical constraints, and define practical future-state solutions. - Hands-on AI builder mindset, with experience using AI tools to design, prototype, automate, or improve real business workflows. - Technical fluency with APIs, integrations, data models, automation, enterprise systems, developer workflows and implementation tradeoffs. You do not need to write production code but you should be able to reason through technical constraints and troubleshoot effectively. - Strong experience delivering implementations that drive adoption, change management and long-term customer value. - Strong project and engagement management skills, including ownership of scope, timeline, deliverables, stakeholder alignment, risks, decisions, dependencies and launch readiness. - Exceptional written and verbal communication, with the ability to simplify complex technical concepts for business, technical, and executive audiences. - Strong executive presence and customer judgment, with the ability to build trust, frame tradeoffs clearly, and move ambiguous decisions forward. - Bias toward action, high learning velocity, and comfort building in fast-changing AI-native product environments. - Written and spoken Japanese fluency to communicate directly with external customers, partners, and internal teams NICE TO HAVES - Experience designing or deploying Agents, automations or AI-powered workflows with Customers. - Experience with Notion, APIs, MCPs, Workers, coding agents or developer platform workflows. - Experience developing discovery methodologies, reusable delivery assets, internal tooling, packaged services or reference architectures from the ground up. - Experience partnering with Product and Engineering teams to turn field learnings into roadmap signal, reusable architecture patterns or scalable product improvements. - Previous experience in a fast-paced, high-growth technology environment. - Business level English proficiency to communicate effectively with global stakeholders and peers. - Experience working with Japanese enterprise customers or familiarity with Japan market dynamics and business practices. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Washington, District of Columbia, United States Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world. At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded. About the Position We are seeking a highly experienced Program Director/Team Lead to lead implementation of an anticipated Department of State program focused on monitoring and evaluation of rapid foreign assistance programs in dynamic and fragile contexts. The Program Director/Team Lead will oversee the operations and performance of the field team(s) and supporting staff. They will be responsible for overall contract performance, reporting, and client satisfaction. This position is based in the Washington, D.C. metropolitan area and is contingent upon award. Responsibilities Serve as Dexis' primary point of contact with the COR and Department of State stakeholders, overseeing overall contract implementation, execution, delivery, quality, and client satisfaction Oversee the operations and performance of field team(s), supporting staff, subcontractors, and implementing partners Lead identification and shaping of MEL and TPM support for humanitarian assistance activities Lead development of task order concepts and technical approaches from identification of opportunity through capture through to submission, negotiation and inception. Contribute to successful bids through developing technical approaches, building resources and workplans, and contributing to budget development Negotiate successful task order proposals to contract Coordinate task order capture efforts across technical and operational teams Provide strategic oversight across activities to ensure alignment with client priorities Manage on-the-ground operational and logistics requirements, including coordination across dispersed field teams, partners, and complex operating environments Coordinate with U.S. Government stakeholders, multilateral organizations, UN agencies, OCHA, UNHCR, WFP, NGOs, and other humanitarian coordination actors as needed Maintain awareness of global humanitarian crises and programmatic needs Represent Dexis in client engagements, briefings, coordination meetings, and field-facing partner discussions Serve as a deeply relational, externally facing leader who builds trust with clients, partners, field teams, and local stakeholders Monitor performance, risks, client feedback, and operational issues, and make strategic prioritization decisions in dynamic environments Minimum Qualifications Minimum 10 years of experience managing U.S. Government programs . Minimum five (5) years of experience serving as a Project Director, Program Director, Task Order Manager, Chief of Party, Team Lead, or in an equivalent senior project leadership role managing complex projects with multiple teams working simultaneously on different activities . Deep familiarity with delivery of U.S. federal humanitarian assistance, disaster response, stabilization, and/or similar crisis-oriented programming . Experience supporting humanitarian assistance or crisis response programs . Minimum five (5) years of experience managing MEL and/or TPM activities in complex environments . Experience managing on-the-ground operations and logistics, dispersed field teams, and coordination with local, international, and implementing partners . Bachelor’s degree required; Master’s preferred Preferred Qualifications Prior experience with USAID’s Bureau for Humanitarian Assistance (BHA), the Department of State’s Bureau for Population, Refugees, and Migration (PRM), the Department of State’s Bureau of Disaster and Humanitarian Response, and/or any of their predecessor offices, within the past three (3) years . Below is the pay range aligned with this position. When developing a range, Dexis evaluates compensation holistically, triangulating between external market research , our budget for the position, and internal equity to arrive at a figure that is fair and competitive. Offers within this range will be based on an individual candidate's qualification, relevant education and experience, skills, performance, and organizational needs. Dexis pay range for this role: $118,000 — $193,200 USD Benefits Dexis offers benefits to support employees’ health, financial security, and well-being. The benefits outlined below are for full-time, US-based positions only. These benefits include: Medical and prescription drug coverage: A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents. Dental insurance: Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits. Company-paid vision insurance: Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis. Employer-funded health reimbursement arrangement (HRA): Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses. Company-paid life and disability insurance: Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage. Optional supplemental insurance: Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents. Employee Assistance Program (EAP): Company-paid access to confidential counseling and legal and financial support resources for employees and their families. Health and wellness resources: Virtual care, behavioral health resources, and wellness programs available through the medical plan. Benefits assistance: Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center. Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements. Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you? If you are passionate about this opportunity, apply now! Only those applicants who meet the above criteria will be contacted for interview. Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.

Location: Warsaw Workplace: Hybrid ROLE HIGHLIGHTS: - Senior AOCS System Engineer - Location: Warsaw, Poland - Department: Engineering - Reports to: Jakub Lisowski, Engineering Manager - Employment type: Permanent - Workplace model: Hybrid ( 2- 3 days onsite at our Warsaw office) - Employment is subject to applicable security screening (incl. SUPO, where required) WHY THIS ROLE MATTERS: The Mission of the AOCS Systems Engineer   You ensure that our satellites always point towards the right direction enabling high-quality images. This role is within AOCS Domain where we are responsible for maintaining attitude and orbit. Your job will be to work closely with production teams, operation teams and software teams to ensure smooth and performant operation of our ADCS and propulsion systems in orbit and on ground. Expect to be involved in the complete lifecycle of the system - from design phases of future ICEYE satellite generations to maintenance of existing systems we, and our customers operate. You will have a chance to have a direct impact on our mission success as performance and reliability of the AOCS system directly affects the amount and quality of Synthetic Aperture Radar (SAR) data we deliver to our customers.     WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.   ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.   ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.   Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. YOUR DAY-TO-DAY RESPONSIBILITIES   - Expected Outcomes: 1. Increased Imaging Performance and Mission Success. You will help driving the performance of our AOCS systems by: - Driving selection of future AOCS hardware components. - Characterizing and validating existing AOCS performance by designing and executing in-orbit experiments and analyzing telemetry data with the help of analysis software you develop. - Developing software tools to predict performance of our future AOCS systems. 2. Maximized AOCS Availability. You will ensure that our systems perform as expected within their design envelope by: - Maintaining verification procedures and working closely with production and testing teams in implementing process improvements and new test jigs. - Debugging on-orbit anomalies requiring deep system system understanding and systematic approach towards pinning the root-cause. Understanding an anomaly is a first step towards preventing it in the future. - Supporting software teams in implementing changes to software to prevent repetition of known issues. - Work on software tools helping debug AOCS anomalies as they happen.   3. Robust and Predictable AOCS Operations. You will help the team establish and evolve internal processes for anomaly handling and resolution.   WHAT WE’RE LOOKING FOR Must haves: - Thinking from a first-principles mindset - your work will often involve resolving in-orbit anomalies, which you will need to tackle in a systematic manner to understand their root-cause and propose solutions to mitigate those in the future. - Strong understanding of AOCS fundamentals: rigid body motion, differential equations, coordinate transformations, 3d geometry, feedback loops, state estimation. Basic understanding of orbital dynamics. - Strong understanding of underlying principles of operation and failure modes of sensors and actuators used in AOCS: reaction wheels, magnetorquers, star trackers, gyroscopes, magnetometers, GNSS. - Strong understanding of performance drivers of AOCS systems. - Proven track record of owning cross-domain systems involving feedback control loops over their complete lifecycle including maintenance and operations. - Demonstrated broad knowledge across multiple engineering disciplines including controls, mechanical and electronics. AOCS is an electromechanical system in the and requires broad perspective to understand it fully - Proficiency in Python, C++ or Matlab.   APPLICATION PROCESS 1. (remote) Talent Acquisition Screening 2. (remote) Hiring Manager interview 3. (remote) Take-home technical task and panel interview 4. (on-site) System thinking workshop 5. (on-site) Behavioural interview to assess cultural fit WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.   OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Munich Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey’s Legal Engineers are skilled lawyers from top-tier law firms who apply their legal experience to ensure that current and prospective customers understand how Harvey’s solutions enhance specific day-to-day workflows, working alongside Harvey’s Account Executives to support all aspects of our sales strategy. Legal Engineers build consultative relationships with law firm partners and associates and in-house attorneys at private equity firms and Fortune 500 companies, becoming trusted advisors on how Harvey’s AI solutions can make them more effective. Similar to how Solutions Architects secure the “technical win” in the sales process, Legal Engineers secure the “legal win” by performing in-depth customer discovery and education on Harvey’s solutions through targeted meetings and demos that resonate with the customer’s day-to-day workflows specific to their legal practice area. Legal Engineers utilize their experience practicing law and their legal mindset to ask thoughtful questions to understand the needs of law firm and in-house attorneys, develop credibility, and then partner with Account Executives to educate them on Harvey’s value via large and small group sessions as well as one-to-one conversations. WHAT YOU’LL DO - Engage with English- and German-speaking lawyers at existing and prospective customers to understand their workflow challenges, strategic objectives, and broader firm context — then demonstrate how Harvey’s AI solutions can address them. - Establish yourself as a credible expert in solving customers’ specific legal problems (e.g. researching public and private databases for certain types of information, drafting and analyzing contractual provisions and whole documents, analyzing briefs and filings, corporate governance, conducting due diligence). - Lead product demonstrations tailored to the context of various law firm practice groups and in-house legal teams, asking questions to validate how Harvey can add value and then showcasing Harvey’s features and benefits relevant to each prospective client’s potential use cases. - Partner with the marketing team to develop content that will resonate with lawyers, tailored to the unique needs of their practice areas and client types. - Act as the “Voice of the Customer,” using your legal perspective to help the broader sales team to develop and implement more effective strategies and synthesize customer feedback for the product team through a legal lens. - Tailor the introduction of new solutions to specific customer needs. - Further the market perception of Harvey as uniquely credible, substantive, and helpful in applying its AI solutions to make lawyers better at their jobs. - Conduct research and analysis on customers and competitors. WHAT YOU HAVE - JD or equivalent legal qualification. - Fluent in German and English. - At least 3 years of experience practicing law at a top-tier law firm (Vault 50 or equivalent), preferably with a transactional, in-house or transformation experience. - Executive engagement skills and presence, with an ability to establish strong relationships with key decision makers and build credibility at all levels. - Outstanding presentation skills to both legal and executive audiences, whether impromptu on a whiteboard or using presentations and demos. - Strong understanding of legal processes and challenges faced by legal professionals. - Curiosity about AI’s potential to transform the legal industry. - Sales or customer-facing experience, including law firm business development and/or secondment, is a plus, as is experience directly managing law firm client matters and client relationships. ADDITIONAL INFORMATION FOR POSTINGS - Location: Germany - Work eligibility: Must have valid German work rights; Harvey does not currently offer visa sponsorship for this role WHAT WE OFFER - Be part of building something special as a founding member of our Germany team - Opportunities to work on cross-functional go-to-market initiatives, with a focus on scaling sales strategy and driving revenue growth DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-RC1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York, New York; New York City Metropolitan Area; New Jersey; Connecticut; San Francisco Bay Area, California Workplace: remote About the role: At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production — then you watch the business number move. We’re an Anthropic and AWS Partner with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA. Why Provectus Frontier access — Anthropic Preferred Partner: newest Claude models, real budgets, real problems Real tasks (not scope), real deployment. You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive Embedded, not engaged. You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented Autonomous. You own the work from framing through to production, visible to clients and founders.  You own the method; nobody hands you a ticket Your experience stays portable. Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack Craft & growth — build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name We give you a stage: Claude certification, conference talks, open-source contributions, published work under your own name What You’ll Do: Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice What We Look For: Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses) Nice to have: Containers and orchestration (Kubernetes/ECS) and CI/CD in production IaC depth: AWS CDK, CloudFormation, Terraform Open-source contributions or public writing on applied AI What We Offer: Full-time employment On-site visits to clients’ facilities and our office in NYC 1/week Unlimited Vacation policy Generous health, vision, and dental insurance 401(K) matching plan Base salary $180k–$200k + bonuses; OTE up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data No Visa sponsorship How We Hire: Recruitment interview. Tech interview with our FDE (30 min). A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked. Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows. 4. Soft skills interview. 5. Offer discussion. We’re real: A person reads your application. We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team We may ask for a quick ID verification. Fraudulent applications are common, and this protects real candidates You’ll meet the people you’d work with. We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO

Location: Sydney Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey’s Legal Engineers are former practising lawyers who bridge customers, sales, and product to support all aspects of our sales strategy and product development. As trusted advisors to the lawyers they work with, they lead sharp discovery and tailored product demonstrations, translating real legal work into Harvey solutions that provide clear value for lawyers. As strategic partners to law firms and in-house teams, Legal Engineers thrive in ambiguity and help lawyers do higher-quality work faster and with more confidence using Harvey. WHAT YOU’LL DO - Work directly with lawyers at current and prospective customers to uncover workflow pain points, recommend solutions, and show how Harvey fits into real legal work. - Serve as the voice of the customer, translating feedback and legal workflow insights into concrete, lawyer-ready product direction. - Partner closely with product, engineering, sales, and marketing to shape Harvey’s roadmap and ensure the product evolves in ways lawyers trust and adopt. - Build and refine product demonstrations, workflows, and use cases that reflect how legal teams actually work, including how AI is changing that work. - Introduce new capabilities in a way that’s tailored, credible, and compelling for each customer, continuously raising the bar for how Harvey is deployed. - Provide competitive and market intelligence specific to the APAC legal tech landscape. - Further strengthen Harvey’s reputation in the APAC region as a credible, substantive, and forward-looking AI partner to the legal industry. WHAT YOU HAVE You move confidently through uncertainty, you operate at speed, and ship solutions that work—iterating quickly with lawyers, sales teams, and product partners to help Harvey and its customers win. You bring deep curiosity about AI's potential to transform legal work, a bias towards action, and the creativity to solve problems nobody's cracked yet. - Based in Sydney and eligible to work in Australia. - Australian practising certificate (or equivalent common-law qualification). - At least 3 years of experience as a qualified lawyer at a top-tier law firm (e.g., Band 1 Chambers / AFR Top 10) and/or/in-house with strong exposure to complex legal workflows and client expectations. - Demonstrated ability to exercise sound judgment and make confident, well-reasoned recommendations. - Ability to operate seamlessly across legal, product, and sales contexts—translating between stakeholders with clarity and precision. - Executive presence and relationship-building skills, with comfort engaging partners, senior associates, in-house counsel, and legal leadership. - Sales, customer-facing, or law firm business development experience is a plus, particularly where you’ve helped shape solutions rather than just present them. ADDITIONAL INFORMATION - Location: Sydney, NSW (Hybrid with flexibility) - Work eligibility: Must have valid Australian work rights; Harvey does not currently offer visa sponsorship for this role. WHAT WE OFFER - Structured hybrid working arrangement: 3 days in our Sydney office, 2 days working from home. - Health Coverage: Fully covered private hospital insurance, plus extras for dental, optical, physio, mental health, and more. - Family & Fertility Support: Support for fertility treatments, adoption, and surrogacy through Carrot. - Retirement & Security: Comprehensive coverage designed to support your long-term well-being. - Paid Leave: Paid annual leave, sick leave, and fully paid parental leave for all parents. - Wellness & Perks: Daily in-office lunch, wellness memberships through Wellhub, and monthly commuting support. - Professional Development: Annual support for courses, certifications, conferences, and books. - Remote Work Allowance: Monthly support for home office, internet, and phone expenses. - Harvey Holiday: After four years, enjoy a four-week paid sabbatical to rest, travel, or explore new experiences. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-GW1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York Workplace: remote About the role: We’re an Anthropic and AWS Partner with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA. Why Provectus Frontier access — Anthropic Preferred Partner: newest Claude models, real budgets, real problems Real tasks (not scope), real deployment. You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive Embedded, not engaged. You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented Autonomous. You own the work from framing through to production, visible to clients and founders.  You own the method; nobody hands you a ticket Your experience stays portable. Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack Craft & growth — build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name We give you a stage: Claude certification, conference talks, open-source contributions, published work under your own name What You’ll Do: Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice What We Look For: Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses) Nice to have: Containers and orchestration (Kubernetes/ECS) and CI/CD in production IaC depth: AWS CDK, CloudFormation, Terraform Open-source contributions or public writing on applied AI What We Offer: Full-time employment On-site visits to clients’ facilities and our office in NYC 1/week Unlimited Vacation policy Generous health, vision, and dental insurance 401(K) matching plan Base salary $180k–$200k + bonuses; OTE up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data No Visa sponsorship How we hire: Recruitment interview. Tech interview with our FDE (30 min). A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked. Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows. 4. Soft skills interview. 5. Offer discussion. We’re real: A person reads your application. We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team We may ask for a quick ID verification. Fraudulent applications are common, and this protects real candidates You’ll meet the people you’d work with. We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO

Location: Ho Chi Minh City, Vietnam Top 3 Reasons To Join Us International Environment Working on the latest tech for the Insurtech Market Leader Competitive remuneration package About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C We’re the winner of the Insurtech of the Year in all of Asia and other awards globally We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world We are fully funded and backed by reputable VC funds and strategic institutional investors We have a global presence in Asia, EMEA and the Americas We’ve grown our annualized revenue by over 30x since January 2021 We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world About the Role As the Lead Full Stack Engineer at CoverGo, you will play a pivotal role in driving the technical direction and execution of our innovative insurance enterprise software solutions. Lead and mentor a team of talented engineers, guiding them through the design, development, and maintenance of our SaaS platform. Collaborate closely with stakeholders to understand business requirements, architect scalable solutions, and ensure the delivery of high-quality software. Stay abreast of emerging technologies, advocate for best practices, and foster a culture of innovation and excellence within the engineering team. What You Will Do Lead the end-to-end development lifecycle of our SaaS platform, from design and implementation to deployment and maintenance, ensuring alignment with business objectives and technical requirements. Provide technical leadership and mentorship to a team of Full Stack Engineers, fostering their growth and development through coaching, feedback, and knowledge sharing. Collaborate closely with product managers, designers, and other stakeholders to translate business requirements into technical solutions, prioritizing features and enhancements based on impact and feasibility. Drive architectural decisions and establish coding standards and best practices to ensure the scalability, reliability, and maintainability of the platform. Conduct thorough code reviews, enforce quality standards, and promote a culture of continuous improvement through the adoption of testing methodologies and automation. Proactively identify technical debt, scalability bottlenecks, and areas for optimization, leading initiatives to address them and improve overall system performance. Champion security and compliance initiatives, ensuring adherence to industry regulations and best practices, and driving the implementation of robust security measures. Stay updated with the latest trends, technologies, and best practices in software development, evaluating their potential impact and relevance to our platform, and advocating for their adoption where appropriate. What We Need Demonstrated leadership experience in a technical role, with a track record of successfully leading and mentoring engineering teams in the development of complex SaaS applications. Extensive hands-on experience with Full Stack development using Node.js and related technologies, with a minimum of 8 years of relevant experience. Proficiency in front-end and back-end technologies such as Node.js, Vue.js, GraphQL, MongoDB, Docker, and TypeScript. Strong expertise in cloud platforms such as AWS, Azure, or Google Cloud, with experience in architecting and deploying scalable and resilient applications. In-depth knowledge of Test-Driven Development (TDD) methodologies, unit, integration, and functional testing, and experience with testing frameworks and automation tools. Solid understanding of Object-Oriented Programming (OOP) principles, SOLID principles, and design patterns, with practical experience in their application. Thorough understanding of web security best practices and experience in implementing security measures and ensuring compliance with industry regulations. Familiarity with container technologies like Docker and proficiency in cloud infrastructure and solutions. Experience with Nest.js is a plus. Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and stakeholders. Proven ability to prioritize and manage multiple projects simultaneously, with a proactive and results-oriented approach. Passion for continuous learning and professional development, with a keen interest in staying updated with emerging technologies and industry trends. Why You'll Love Working Here Hybrid Work Model 15 Days Annual Leave 13th-month Pay Annual Performance Bonus Health Insurance Stock Options after 6 months Company activities and events Learning and development plan CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: Singapore About the Company Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team. The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant. Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive. About the Role Our client is seeking a VP of Research (Machine Learning) to define and lead the research direction behind its AI platform. This leadership role will shape how AI systems reason, learn, evaluate, and continuously improve within a product designed for high-frequency, real-world usage. Working closely with product and engineering leadership, this position will drive the long-term intelligence strategy, balancing cutting-edge research with practical production impact. Key Responsibilities Define and evolve the research roadmap for the platform's core AI intelligence, including context representation, memory, reasoning, planning, and orchestration. Evaluate and determine when to develop proprietary model architectures versus leveraging or adapting frontier open-source and commercial AI models. Design evaluation frameworks that measure real-world performance, robustness, safety, and long-term system behavior beyond traditional benchmark metrics. Lead the company's AI alignment, safety, and guardrail strategy as a core component of product development. Drive research and experimentation across advanced machine learning techniques, including: Retrieval-Augmented Training (RAG) Mixture of Experts (MoE) Model Distillation Multi-Agent Orchestration Multimodal AI Systems Partner closely with product and engineering teams to define and execute the intelligence strategy for AI-powered applications. Establish and maintain high standards for research quality, technical judgment, and engineering excellence across the organization. Requirements Extensive experience designing, building, and deploying machine learning systems in production environments. Strong technical expertise in model behavior, failure analysis, system evaluation, and long-term AI performance. Proven ability to translate advanced research into reliable, production-ready AI solutions. Demonstrated experience making high-impact technical decisions in fast-moving and ambiguous environments. Deep understanding of AI evaluation methodologies, model robustness, safety, and system reliability. Strong ownership mindset with the ability to lead technical strategy and execution. Passion for building practical AI systems that deliver measurable real-world impact rather than focusing solely on academic research or benchmark performance. Preferred Technical Skills Experience with the following technologies is preferred: Python PyTorch and/or JAX GPU-based model training and inference systems

Location: Singapore About the Company Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team. The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant. Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive. About the Role Our client is seeking a Technical Lead, Machine Learning to lead the execution of its AI platform by translating research into scalable, production-ready machine learning systems. This role sits at the intersection of research, infrastructure, and product, with responsibility for ensuring models are trainable, deployable, observable, and optimized for real-world performance. Working closely with research, engineering, and product teams, this position will drive the development of robust ML infrastructure while balancing performance, reliability, latency, and cost. Key Responsibilities Lead the end-to-end execution of machine learning systems, including data pipelines, training workflows, evaluation frameworks, inference architecture, and production deployment. Fine-tune and optimize models using modern techniques such as LoRA, QLoRA, Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), and model distillation . Design, build, and operate scalable inference systems with a focus on latency, cost efficiency, and reliability. Develop and maintain data pipelines for both synthetic and real-world training datasets. Build evaluation frameworks to measure model performance, robustness, safety, and bias in collaboration with research teams. Optimize production deployments through GPU utilization, memory efficiency, inference optimization, and scaling strategies. Partner closely with application engineering teams to integrate machine learning systems into backend, desktop, and mobile products. Continuously improve production systems through rapid iteration, monitoring, and data-driven optimization. Requirements Proven experience building and deploying production-grade machine learning systems used by real users. Strong expertise working with large language models and understanding model behavior, limitations, and failure modes. Experience developing scalable ML infrastructure, training pipelines, and inference systems. Strong software engineering skills with the ability to write maintainable, production-quality code. Experience balancing real-world production constraints, including latency, reliability, scalability, cost, and safety. Strong ownership mindset with the ability to independently drive technical initiatives from design through deployment. Excellent communication and collaboration skills, with experience working in cross-functional, high-performing engineering teams. Preferred Technical Skills Experience with the following technologies is preferred: Python PyTorch and/or JAX GPU-based model training and inference systems

Location: Singapore About the Company Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team. The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant. Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive. About the Role Our client is seeking a Senior Machine Learning Engineer to design and build production-grade machine learning systems that power its AI platform. This is a hands-on technical role focused on solving complex machine learning challenges, translating research into scalable solutions, and delivering reliable AI systems that operate effectively in real-world environments. Working closely with research, product, and engineering teams, this position will independently own critical machine learning components from development through production deployment. Key Responsibilities Build and develop core machine learning systems that power AI-driven product capabilities. Own the end-to-end machine learning lifecycle, including data preparation, model training, evaluation, inference, deployment, and continuous iteration. Translate research concepts into reliable, production-ready machine learning solutions. Investigate and resolve model performance issues and production system failures using real-world operational insights. Continuously improve machine learning systems through rapid experimentation, measurement, and iteration. Collaborate closely with research, product, and engineering teams to deliver impactful AI features. Provide technical guidance through code reviews, best practices, and mentorship of fellow machine learning engineers. Develop solutions that balance real-world production requirements, including latency, scalability, cost efficiency, reliability, and safety. Requirements Proven experience building and deploying production machine learning systems used by real users. Strong understanding of modern machine learning models, including their behavior, limitations, and failure modes in production environments. Excellent software engineering skills with the ability to develop robust, maintainable, production-quality systems. Experience designing and implementing scalable machine learning pipelines and infrastructure. Strong ownership mindset with the ability to independently solve complex technical challenges from concept through deployment. Excellent problem-solving, communication, and collaboration skills within cross-functional engineering teams. Demonstrated ability to iterate quickly and continuously improve machine learning systems based on production feedback. Preferred Technical Skills Experience with the following technologies is preferred: Python PyTorch and/or JAX GPU-based training and inference systems

Location: Singapore About the Company Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team. The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant. Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive. About the Role Our client is seeking a Principal Machine Learning Engineer to build and deploy production-grade machine learning systems that power its AI platform. This role focuses on translating research into scalable solutions by developing robust training pipelines, inference systems, evaluation frameworks, and deployment infrastructure. Working closely with research and application engineering teams, this position will play a key role in delivering reliable, high-performance ML systems that operate effectively under real-world production constraints. Key Responsibilities Build and own end-to-end machine learning pipelines covering data processing, model training, evaluation, inference, and deployment. Fine-tune and adapt models using modern techniques such as LoRA, QLoRA, Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), and model distillation. Design and operate scalable inference systems while balancing latency, cost, and reliability. Develop and maintain data pipelines for both synthetic and real-world training datasets. Build evaluation frameworks to assess model performance, robustness, safety, and bias in collaboration with research teams. Optimize production deployments through GPU optimization, memory efficiency, latency reduction, and scaling strategies. Collaborate with application engineering teams to integrate machine learning systems into backend, mobile, and desktop applications. Continuously improve ML systems through rapid iteration and real-world performance monitoring while balancing production constraints such as latency, cost, reliability, and safety. Requirements Strong background in deep learning and transformer-based architectures. Hands-on experience training, fine-tuning, or deploying large-scale machine learning models in production. Proficiency with modern machine learning frameworks such as PyTorch or JAX . Experience with distributed training and inference frameworks, including technologies such as DeepSpeed, FSDP, Megatron, ZeRO, or Ray . Strong software engineering skills with experience building robust, maintainable, production-grade systems. Experience optimizing GPU workloads, including memory efficiency, quantization, and mixed precision. Ability to independently own end-to-end machine learning systems in fast-moving environments. Strong problem-solving skills with a focus on rapid iteration and continuous improvement. Preferred Qualifications Experience with one or more of the following is preferred: LLM inference frameworks such as vLLM, TensorRT-LLM, or FasterTransformer Open-source contributions to machine learning or systems libraries Scientific computing, compiler technologies, or GPU kernel development Reinforcement Learning from Human Feedback (RLHF) pipelines, including PPO, DPO, or ORPO Training or deploying multimodal or diffusion models Large-scale data processing frameworks such as Apache Arrow, Spark, or Ray