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Location: Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role The AI Transformation Owner drives the end-to-end AI agenda for the field organization, translating emerging AI capabilities into concrete enablement roadmaps, field use cases, and org-level strategy. You will partner closely with product and engineering teams to pilot and scale AI solutions, own the operational transformation plan needed to embed AI into day-to-day field workflows, and establish the governance framework that keeps AI adoption safe, compliant, and aligned with company standards. This is a hands-on role for someone who can move from strategy to execution without heavy oversight. This role reports to the Vice President, Enablement & AI. What You’ll Do AI Enablement Roadmap: Own and continuously evolve the roadmap for AI-driven enablement initiatives, prioritizing based on field impact, feasibility, and alignment with broader Enterprise AI team and strategy.. AI Field Use Cases: Identify, scope, and execute on high-value AI use cases for the field (e.g., deal support, prospecting, content generation, guided selling, skills, change management), working with stakeholders to define success criteria and measure impact. AI Field Champions: build relationships with champions in the field organization to activate power-usage and drive peer-led adoption; track this adoption (e.g., usage, proficiency, behavior change) with our AI Ops Specialist and Enablement Analyst. Ops Transformation Plan: Design and drive the operational plan that turns AI pilots into scaled, repeatable processes, coordinating across enablement, ops, and technical teams to remove execution bottlenecks. AI Governance: Influence and lead governance standards for AI tool adoption in the field, including data usage, risk review, tool vetting, and alignment with company-wide AI policy. What You’ll Bring Mid-Senior Experience: Several years of experience in enablement, sales operations, or a related GTM function, with a track record of owning initiatives end-to-end. AI Solutions Experience: Direct experience evaluating, piloting, or deploying AI tools or solutions in a business context, with a solid technical understanding of how they work and where they add value. Act as the field's primary advocate for AI tools (e.g., AI-assisted prospecting, call intelligence, forecasting copilots, RFP/proposal generation). Cross-Functional Fluency: Proven ability to work closely with product and engineering teams, translating field needs into technical requirements and vice versa. Self-Sufficiency: Comfortable operating with significant autonomy — able to define scope, structure ambiguous problems, and drive work forward without needing detailed direction. Organization & Execution: Strong project management instincts; able to manage multiple workstreams (roadmap, use cases, ops transformation, governance) in parallel without dropping details. Innovative Mindset: A builder's orientation toward new technology — curious about what's possible, willing to experiment, and able to separate genuine opportunity from hype. Enablement/Sales Background: Familiarity with field or sales enablement motions (onboarding, tool adoption, content, coaching) and how AI can realistically augment them. GitLab Values Alignment: Ability to work in an all-remote, asynchronous environment, leaning heavily on transparency and collaboration as defined in the GitLab Handbook. About the team The Enablement & AI function is part of the CRO organization. Enablement is instrumental in helping GitLab grow at a more accelerated pace and achieve our ambitious revenue targets. The enablement organization comprises enablement leads serving the CRO business functions, a centralized content group, AI tech resources, and an operations team. How GitLab will support you Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental leave Home office support Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $139,200 — $235,200 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Software Engineer, Agents, you'll build the systems that make our AI agents indispensable to legal professionals. You will design environments and actions for agentic professional work, make model selection decisions, manage context windows, create optimal tools, and develop evals that enable faster iteration loops to unlock new capabilities. We're looking for engineers and researchers who are immersed in the space, driven to ship impactful products, and are experienced in using practical evaluations to drive task completion quality and customer delight. WHAT YOU'LL DO - Partner with customers and PMs to understand legal workflows, design practical evaluations that capture what “excellent” means, and ship agents that get the job done. - Optimize agent performance through prompt engineering, model selection, tool design, skill writing, context window management, and eval harness development. - Work with our model infra team to design and implement infrastructure for low-latency agent execution, including caching strategies, parallel tool calls, or subagent patterns. - Improve our observability and instrumentation to profile agent behavior, identify bottlenecks, and drive optimization decisions. - Stay current on new developments in agentic systems and bring those learnings back to the products we build. WHAT YOU HAVE - 10+ years (post-BS/MS) of software engineering experience. - Passion for building effective domain-specific agents. - Iterative mindset: you develop proof of concepts, make decisions quickly, and ship v0s. - Comfortable with when and how to use evaluations to drive quality. - Humble and adaptable about code and frameworks. We expect you to drive adoption of new best practices as they develop. - We are hiring for this role across Mid, Senior, and Staff levels. - Proficiency in Python and experience working with LLM APIs and agent frameworks. - Experience with shipping user-facing products, either on the backend or full-stack. COMPENSATION $231,000 - $340,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-AP1 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: Sweden (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity The Solutions Engineering team are the customer facing product experts. The team enables Grafana Labs worldwide growth by educating potential and existing customers to ensure that they are happy and successful. We share our technical and product expertise with customers through demos, hands on enablement, presentations, technical evaluations and ongoing interaction. We partner closely with our Sales team to help qualify and close opportunities. The Solutions Engineering team is one of the primary routes of communication from our customers to the Product Management and Engineering teams. A Solutions Engineer is able to really listen to a prospect or customer, understand their requirements, ask the right questions to extract as much information as required and translate all that into a solution with Grafana Labs technology. They are the bridge between the highly technical engineering folks here at Grafana Labs, our customers and our Sales team. What You'll Be Doing Partnering with our Sales team to articulate the overall Grafana value proposition, vision and strategy to customers Owning the technical engagement with customers and help close complex opportunities through advanced competitive knowledge, technical skill and credibility Delivering product and technical presentations to potential and existing customers Effectively communicate with customers and internal teams to provide feedback on our products and the competitive landscape Driving product conversations based on need and problems with customers Working with the team to enhance documentation, write blog posts, record videos, contribute knowledge base articles and create other public or private enablement material What Makes you a Great Fit: 5+ years of technical pre-sales experience Be open to various and complex assignments, this will require strong judgment, collaboration, and leadership You will need first class written and oral communication skills to collaborate with our remote-first internal teams and with our worldwide customers. You will need to be able to skillfully articulate our value proposition and the technical advantages of our products You love solving technical challenges and thrive on bringing creative solutions to our customers You should have a technical mindset and a desire to grow technically. Must be located in Sweden Bonus Points For: Experience with Open Source technologies, or in the Metrics/Monitoring space is an advantage Experience with sales methodologies like MEDD(P)ICC is a plus Compensation & Rewards In Sweden, the OTE (On-Target Earnings) compensation range for this role is SEK 1,286,000 - SEK 1,544,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Spain (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity The Solutions Engineering team are the customer facing product experts. The team enables Grafana Labs worldwide growth by educating potential and existing customers to ensure that they are happy and successful. We share our technical and product expertise with customers through demos, hands on enablement, presentations, technical evaluations and ongoing interaction. We partner closely with our Sales team to help qualify and close opportunities. The Solutions Engineering team is one of the primary routes of communication from our customers to the Product Management and Engineering teams. A Solutions Engineer is able to really listen to a prospect or customer, understand their requirements, ask the right questions to extract as much information as required and translate all that into a solution with Grafana Labs technology. They are the bridge between the highly technical engineering folks here at Grafana Labs, our customers and our Sales team. What You'll Be Doing Partnering with our Sales team to articulate the overall Grafana value proposition, vision and strategy to customers Owning the technical engagement with customers and help close complex opportunities through advanced competitive knowledge, technical skill and credibility Delivering product and technical presentations to potential and existing customers Effectively communicate with customers and internal teams to provide feedback on our products and the competitive landscape Driving product conversations based on need and problems with customers Working with the team to enhance documentation, write blog posts, record videos, contribute knowledge base articles and create other public or private enablement material What Makes you a Great Fit: 5+ years of technical pre-sales experience Be open to various and complex assignments, this will require strong judgment, collaboration, and leadership You will need first class written and oral communication skills to collaborate with our remote-first internal teams and with our worldwide customers. You will need to be able to skillfully articulate our value proposition and the technical advantages of our products You love solving technical challenges and thrive on bringing creative solutions to our customers You should have a technical mindset and a desire to grow technically. Must be located in Spain Bonus Points For: Experience with Open Source technologies, or in the Metrics/Monitoring space is an advantage Experience with sales methodologies like MEDD(P)ICC is a plus Compensation & Rewards In Spain, the OTE (On-Target Earnings) compensation range for this role is EUR 107,000 - EUR 132,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: France (Remote) Workplace: Remote ABOUT THE OPPORTUNITY We are looking for experienced Real Estate, Property Management, and Leasing professionals to support a cutting-edge AI benchmarking project focused on the French real estate and hospitality-adjacent environments. As a Subject Matter Expert, you will create and review realistic, high-quality scenarios that reflect operational, customer service, leasing, sales, property management, and tenant relations challenges across residential, commercial, retail, and mixed-use developments. Your expertise will help ensure AI systems understand and respond accurately within one of France's fastest-growing sectors. WHAT YOU’LL DELIVER - Design realistic Real Estate and Leasing scenarios in French or English grounded in French operational contexts (e.g., property leasing, tenant communication, concierge services, facility coordination, sales negotiations, community management, rental operations) - Adapt structured evaluation rubrics for customer interaction, operational problem-solving, leasing workflows, and sales support tasks - Review AI and human-generated responses for factual accuracy, service quality, policy compliance, and operational realism - Contribute to “gold standard” solutions reflecting industry best practices across the French real estate, leasing, and property operations sectors QUALIFICATIONS - Native French with strong professional English proficiency - 5+ years of professional experience in Real Estate, Property Management, Leasing, Hospitality Services, or Community Operations - Background in one or more relevant roles: Property or Community Association Management, Real Estate Brokerage, Real Estate Sales, Leasing Operations, Concierge & Guest Services, Rental Services, Tenant Relations, or Facilities Coordination - Strong understanding of customer service workflows, leasing and sales operations, property management practices, and French real estate environments WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. What to Consider Before Applying - Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed. - Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit. - Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging. HOW TO JOIN OUR EXPERT COMMUNITY Step 1: Apply with the English-language version of your Resume/C.V. highlighting your expertise in the domain. Step 2: Register in Tipalti to ensure a smooth payment process Step 3: Finalize onboarding and join the Production team AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

Location: Tel Aviv Via is on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, Via is recognized as the leading transportation technology and service provider globally. As a Senior Backend Engineer, Voice AI, you will build the technology powering Via’s Voice AI agent - the seamless, next-generation conversational interface for our customers. This is a rare opportunity to own cutting-edge, mission-critical AI systems that directly shape the daily experiences of hundreds of thousands of riders. You will have end-to-end backend ownership, working with the most advanced LLMs in the market and a team that values innovation and high-quality craft. We are looking for a high-agency engineer who thrives in unknown territories, continuously pushes the boundaries of what AI agents can do, and is passionate about mentoring others and driving our technical vision forward. About the Role: Voice AI Ownership: Lead the end-to-end development of Via’s customer-facing Voice AI agent, creating seamless, natural, and highly responsive conversational experiences. Full-Stack Architecture with BE Focus: Architect and ship features across our stack, leveraging your deep professional backend expertise to build the robust, scalable services that power real-time AI interactions. Cutting-Edge Exploration: Dive fearlessly into unknown territories. You will continuously evaluate, integrate, and deploy the most up-to-date LLMs and AI providers in the rapidly evolving market. Product Initiative: Drive the product forward. You don’t just execute tasks; you proactively propose initiatives, suggest new tools, and conceptualize innovative ways to make our AI agent smarter and more intuitive. Team Mentorship & Growth: Elevate the engineers around you. Share your knowledge, lead by example, and actively help fellow team members grow professionally in both standard software engineering and emerging AI paradigms. About You: Experience: 5+ years of professional full-stack experience, with a proven, exceptionally strong foundation in backend engineering and shipping production-grade systems. The AI Advantage: You are deeply fascinated by the AI space. Prior experience with Python, prompt engineering, working directly with LLM models, and building AI agents is a significant advantage. Fearless Learner: You thrive in ambiguity and are eager to learn the intricacies of building seamless AI agents. You proactively keep your finger on the pulse of the latest market tools and models. High Agency Team Player: You are highly collaborative but operate with immense ownership. You take the initiative to identify product bottlenecks or feature gaps and work seamlessly with the team to solve them. Leadership Mindset: You enjoy lifting others up. You view collaboration, architectural discussions, and code reviews as critical opportunities to foster a culture of continuous learning and engineering excellence. Compensation and Benefits: Our product impacts millions of users around the world  providing alternative transport solutions that are more: efficient and accessible, changing cities to make them greener. Competitive compensation package which includes base salary and equity Health insurance with a discount for family members Hybrid work and a lovely office situated in the heart of TLV, in Midtown, close to the light rail and train station Career development and growth opportunities Other perks: Freefit and other sports lessons, 10bis/Cibus - you choose!, happy hours, team events, communities and many more benefits There has never been a more exciting time to be on the cutting edge of public mobility. Ready to join the ride? Via is an equal opportunity employer.

Location: Tbilisi, Georgia Workplace: remote Join Our Vision: We are building the next generation of Spatial Media - a new way people experience videos through interaction, multi-user presence, haptics, AI, and immersive storytelling. DeoVR is the leading immersive streaming technology serving multiple enterprise customers and millions of users globally. We are now expanding the boundaries of what video can be - moving from passive watching to active, interactive, multi-user journeys. If this excites you more than it scares you, you are in the right place. The Role We’re looking for a Lead Backend Developer to join our new development team within the global VR video streaming ecosystem. This person will lead the Billing team while staying hands-on. What You Will Do Lead system design for new features and complex changes; create and maintain architecture documentation and ADRs Drive code quality, review standards, and engineering practices (testing, CI/CD, code style, operational readiness) Lead technical incident response; write post-mortems with clear root causes and follow-up actions Identify and manage technical debt - maintain a prioritized backlog and advocate for regular capacity to address it Translate product requirements into technical solutions, milestones, and well-decomposed tasks Mentor engineers through design sessions, pair programming, and code reviews; reduce key-person risk by spreading knowledge across the team Define and maintain SLIs/SLOs for team-owned services; ensure sufficient logging, metrics, and alerting are in place Coordinate technical dependencies with other teams (Content Serving, Processing, UGC, DevOps); represent the team in architecture syncs and design reviews Evaluate and recommend technologies, patterns, and tools; pilot new approaches where they bring clear benefit What We Are Looking For Strong hands-on backend engineering experience with Golang and/or PHP, including demonstrated technical leadership in system design, engineer mentoring, and architecture ownership Experience with NoSQL databases (MongoDB or similar) Experience with relational databases (PostgreSQL or similar) Experience of using Golang in production environment Experience designing and evolving backend architectures - APIs, data flows, service decomposition Strong understanding of testing practices (unit, integration, E2E) and CI/CD pipelines Ability to communicate technical trade-offs, risks, and designs clearly to both engineers and non-technical stakeholders English B1+ (written and verbal communication) Bonus Points Experience with various video formats, media containers, and transcoding pipelines Experience defining and working with SLIs/SLOs in production Understanding of message brokers and event-driven architectures (RabbitMQ, Kafka, or similar) Tech Stack PHP, MongoDB, PostgreSQL, Kubernetes, Docker, CI/CD, Redis, Kafka, RabbitMQ, Go Hiring Process HR Screening (30 min) Team Interview (1.5 hour) System Design Interview (1 hour) Live Coding Interview (1 hour) CEO Interview (30 min) 💼 Explore our hiring process What We Offer Please note: fully remote contract role. B2B only - work as an independent contractor with your own legal entity. The chance to be part of a pioneering team in a rapidly evolving industry Direct impact on the future of immersive media Flexible working hours and remote-first culture A team that values initiative, clarity, and collaboration Access to all tools and tech you need Unlimited DeoVR Premium A work environment where ideas matter and people are treated with respect Stay Connected Join our Facebook community and follow updates as we advance interactive VR experiences through cutting-edge technology. Join us and step into a role where legal expertise meets innovation.

Location: London Workplace: OnSite ABOUT APTURA We build the evaluation datasets and RL environments that make AI reliable in domains where mistakes are expensive: finance, healthcare, and legal. Our team designs expert-curated training data, calibrated rubrics, and verifiable task environments for AI labs and startups pushing the frontier of what models can do in regulated industries. We're a small, lean, London based team that moves fast and takes the work seriously. Everyone contributes directly. Initiative is rewarded, and ownership is the default. If you want to shape how frontier AI learns to operate in the real world, we'd like to hear from you. ABOUT THE ROLE As a Member of Technical Staff on our Applied AI team, you will build the tasks and environments that AI labs use to train and evaluate their agents in finance, healthcare, and legal. Day to day, that looks like: constructing RL environments around spreadsheets, documents, and professional workflows. Writing verification logic and reward functions. Working with domain experts to scope what a correct answer actually looks like in an LBO model or a clinical note. Some days it's engineering, some days it's closer to research. The common thread is that you're producing the ground truth that frontier models get measured against. WHAT YOU'LL DO - Build RL environments across finance, healthcare, and legal domains - Assist in designing tasks with golden answers, calibrated rubrics, and programmatic reward signals - Write verification logic and reward functions that can distinguish good model outputs from bad ones - Work directly with domain experts (investment analysts, physicians, attorneys) to translate complex professional workflows into structured tasks - Prototype new approaches to evaluation, verification, and synthetic data generation WHO WE'RE LOOKING FOR - Practical experience building with LLMs: prompting, evaluation, and agentic harnesses. You've built things that actually run, not just notebooks. - High agency and technically sharp. You don't wait for permission, specs, or a roadmap. You see what needs doing, figure out how, and get it done. - Comfortable working across very different contexts. The job moves between engineering, evaluation design, and deep collaboration with domain experts often in the same day. - You ship and iterate. Small team, no room for work that sits in review. Bias toward getting something working, learning from it, and improving it. - You own problems end to end, from scoping with a domain expert through to a working environment. If you prefer clearly partitioned tickets, this probably isn't the right fit. - Already using LLMs as part of how you build, not just as the thing you're building for. NICE TO HAVE - Domain knowledge in finance, healthcare, or legal - Familiarity with RL concepts, model training, and post-training workflows - Cloud infrastructure experience (AWS or GCP) - Previous startup experience, especially as an early engineer

Location: Australia; Sydney, New South Wales, Australia Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Opportunity OKX offers deep liquidity, competitive tiered fee structures, and low-latency infrastructure across spot, perpetuals, and options, built for traders who need scale and speed This is a strategic hire to build and own OKX's HFT/proprietary trading relationships in the Australian market What You’ll Be Doing Providing exposure to digital asset products to your network of traders (proprietary trading groups, high frequency traders, and others), and building this network with OKX's support and resources Developing a strategy to serve traders interested in exposure to digital asset products, including building a pipeline of prospects Managing the sales cycle for traders end-to-end, including working with OKX's: - technical experts to answer product questions; and - business leads to align on commercials for each deal. Taking product feedback from traders, then communicating this internally to support product improvements Negotiating commercial terms with prospects, including fee tier structures, rebates, and liquidity provision incentives Coordinating onboarding of new accounts, including wholesale/sophisticated investor classification, KYC, and legal documentation, working closely with OKX's Compliance and Legal Teams Supporting technical integration conversations (API/FIX connectivity, colocation where relevant) alongside OKX's technical team Representing OKX at industry events, conferences, and trading community gatherings to build and maintain relationships Managing and growing existing accounts post-onboarding, including upselling to higher fee tiers or additional products What We Look For In You Existing relationships with market makers, proprietary trading firms, or trading infrastructure providers At least 4 years of experience in business development or sales: - Ideally, in industries relating to trading (for example: derivatives, CFDs, FX, commodities - with direct client experience at trading firms, proprietary trading groups, commodity trading advisers) - With experience at a regulated exchange, broker, futures commission merchant, order management system, data provider or similar Desire and capability to own a business line in the Australian market for a leading, global digital asset exchange Interest in digital assets and novel financial products and infrastructure Understanding of market microstructure, maker-taker fee models, and how HFTs/proprietary trading groups evaluate exchange venues Familiarity with API- or FIX-based trading relationships (technical fluency not required, but comfort discussing integration requirements) Track record of managing multi-stakeholder commercial negotiations Based in Australia, ideally Sydney Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Remote, KSA; Remote, UAE GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Strategic Account Executive, you'll help expand GitLab's presence across MENA by building trusted relationships with senior leaders at large organisations and guiding them through complex platform decisions. This role is focusing on new logos and some existing business. You'll use a consultative sales approach to connect customer business needs with our AI-powered DevSecOps platform, helping teams improve developer productivity, reduce security and compliance risk, and move software delivery forward with more confidence. In this role, you'll support strategic accounts across the full customer journey, from early conversations through adoption, while helping us position GitLab as a leading DevSecOps partner in the French market. You'll work across pre-sales, post-sales, partner, marketing, and support teams, and we'll rely on you to bring strong account leadership, customer outcomes, and clear communication. Over your first year, your impact will come from building account plans for large organizations, developing new opportunities, and helping customers successfully adopt GitLab in ways that align to their business goals. What you'll do Lead strategic account activity for large prospects and customers, providing direction throughout pre-sales and post-sales engagements. Develop opportunities within enterprise accounts through prospecting, relationship building, and a consultative understanding of customer business needs. Create account plans and customer proposals that clearly connect GitLab capabilities to organizational priorities and transformation goals. Coordinate with pre-sales, post-sales, and support teams to support successful product rollout and customer adoption. Generate qualified pipeline in partnership with strategic channel partners and support new customer development efforts. Contribute customer feedback and product ideas to GitLab's public issue tracker to represent the voice of the customer. Prepare activity and forecast reports, and help analyze wins and losses to improve future sales execution. Collaborate with marketing, account teams, product managers, and technical teams to share lessons learned and communicate customer needs clearly. What you'll bring Experience selling into large organizations and navigating complex enterprise sales cycles with multiple stakeholders. Ability to build and manage executive-level customer relationships with a high degree of ownership and follow-through. Skill in consultative selling, including shaping proposals, presentations, and formal quotes around customer business needs. Strength in negotiation, presentation, and closing conversations in a clear and effective way. Comfort working independently on complex projects while coordinating with cross-functional teams. Fluency in English and Arabic required Familiarity with GitLab or related tools, including Git, software development tools, application lifecycle management, or security and application security tools. Alignment with GitLab's values, with openness to transferable experience from adjacent technical or enterprise software environments. About the team The team focuses on growing GitLab's enterprise business by helping large organizations adopt a single platform for software delivery, security, and collaboration. This role works closely with cross-functional partners across sales, solutions, support, marketing, and product, and contributes to an asynchronous, distributed way of working that values transparency, accountability, and shared customer insight. The team's work sits at the intersection of strategic growth and customer transformation, with a focus on helping enterprises evaluate, adopt, and expand their use of GitLab across complex environments. #LI-CA2 Remote-Global How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Worldwide Workplace: hybrid Shop Manager Reports to : Shipboard Operations Manager   Job description: ·       Leads, coaches, and mentors shop staff with the support of Shop Assistant Manager, while ensuring regular presence on the shop floor. ·       Analyzes and understand sales figures, guest needs, identify shopping trends, and areas of deficiency in staff performance, product assortment, or other areas impacting sales and recommends execution of strategy for improvement to corporate office. ·       Motivates and coaches shop staff to achieve or exceed sales targets, promotional targets, and high quality retailing standards. ·       Ensures the shops are hitting sales targets and meeting performance expectations. ·       Prepares promotional planner and event schedule to drive product sales and guest traffic, in partnership with corporate marketing team and Cruise Director to identify cross promotional opportunities and to promote scheduled shop promotions. ·       Develops strong relationships with ship’s leadership team, other shipboard vendors and cruise partner staff to execute events and drive guest traffic to store. ·       Provides guidance and coaching to shop staff about their performance, on a regular basis, including evaluating performance and taking disciplinary action in accordance with Heinemann standards by partnering closely with corporate HR. ·       Trains shop staff on Heinemann’s standards, product knowledge, selling techniques, asset protection and guest service. ·       Responsibility for oversight of the receiving process in compliance with Heinemann process, and managing inventory emphasis on asset protection, counts and stock control through the Assistant Manager ·       and Inventory Specialist. ·       Maintains inventory oversight, tracking of the inventory balances, and leading discrepancy investigation process. ·       Maintains excellent visual merchandising standards with high-converting displays; optimize retail sales space for maximum revenue. ·       Handles guests’ complaints and queries. ·       Must be prepared to multitask and take on additional duties as needed (including vessel safety duties).    Profile: ·       At least 2 years’ shipboard retail experience in the Shop Manager position, or 4 years’ experience as a shipboard Assistant Shop Manager, required. ·       Excellent ability to identify guest needs and preferences, while possessing excellent customer service skills. ·       Excellent ability to identify staff performance issues and decline in morale. Ability to coach and mentor staff. ·       Ability to analyze sales figures and trends and recommend strategy based on analysis. ·       Fluent in English, oral and written. Ability to speak multiple languages preferred, but not required. ·       High School graduation certificate. ·       Strong customer service, communication and negotiation skills. ·       Knowledge of products ·       Knowledge of inventory techniques. ·       Ability to stand for extended periods of time and move boxes weighing up to 50lbs.    Length of contract: 4 Months on / 2 Months off

Location: Sweden (Remote) Workplace: Remote ABOUT THE OPPORTUNITY Are you a talented linguist with a love for language and cutting-edge technology? We want YOU to join our dynamic translation pool! We're on the lookout for experts across a range of exciting fields — including Life Sciences, IT, Marketing, Legal, Finance, – but don't let that limit you. Whatever your specialization, we'd love to hear from you!   WHAT YOU’LL DELIVER - Translate content between [English] and your native language while preserving cultural nuance and clarity. - Edit and refine language content for accuracy, tone, and contextual relevance across digital platforms. - Apply current language standards, usage trends, and best practices to all deliverables. - Evaluate and provide structured feedback to improve language model quality. - Collaborate with Production and cross-functional teams to localize content for your language-speaking markets. - Support content development, localization, and quality assurance for digital tools and applications. - If transcreation is required, the text should be creatively adapted beyond the source to ensure it reads naturally in the target language.   QUALIFICATIONS - Native-level proficiency in the target language(s) - A graduate qualification in translation, linguistics, or language studies, OR - A graduate qualification in another field plus 2 years of full-time professional translation experience, OR - 5 years of full-time professional translation experience. - The ability to follow terminology and reference materials precisely   WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. WHAT TO CONSIDER BEFORE APPLYING - Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed. - Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit. - Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging. HOW TO JOIN OUR EXPERT COMMUNITY Step 1: Submit your application, including an updated copy of your CV in English. Step 2: If a test is required, you will be asked to take a test in specific domains you specialise in. Step 3: Once you are selected to join our translation team and you have passed the test, we'll guide you through the remaining onboarding steps — completing an application form, getting you set up for payments, and welcoming you into our community. AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

Location: San Francisco 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 As the Engineering Manager for Model Infrastructure, you'll lead the team responsible for the platform powering every model request across Harvey. You'll partner closely with AI Research, Product Engineering, Infrastructure, and external AI providers to ensure our platform remains reliable, scalable, and cost-efficient as our business grows. Model Infrastructure is one of Harvey's most strategic engineering organizations. Every product capability—from chat experiences and agents to document workflows and future reasoning systems—depends on this platform. Over the next several years, the team will evolve beyond operating third-party models to building the infrastructure that enables Harvey to train, evaluate, deploy, and operate our own frontier AI models. This role offers the opportunity to shape the technical foundation of Harvey's AI platform and build an organization that will power the company's next phase of growth. WHAT YOU'LL DO - Lead and grow a high-performing team of software engineers responsible for Harvey's Model Infrastructure platform. - Define the technical roadmap for model reliability, scalability, and operational excellence. - Build highly reliable systems for model provisioning, capacity management, failover, and incident response across multiple AI providers. - Own Harvey's multi-provider model platform, including provider integrations, SDK upgrades, API migrations, and onboarding new model providers. - Drive the evolution of our Unified Model Controller (UMC) and Model Selector platform to automatically detect degraded models and intelligently route traffic based on health, latency, quality, compliance, and cost. - Improve observability through health dashboards, alerting, token usage analytics, cost reporting, and end-to-end model telemetry. - Partner with Product Engineering to support new model launches, capacity planning, experimentation, and proactive production monitoring. - Lead initiatives to improve inference efficiency, reduce infrastructure costs, and increase model utilization across providers. - Build the infrastructure foundation for Harvey's future model training efforts, including data pipelines, model operations, training environments, and AI platform capabilities. - Partner with executive leadership on long-term AI infrastructure strategy and vendor relationships. - Recruit, mentor, and develop exceptional engineering talent while fostering a culture of technical excellence and operational ownership. WHAT YOU HAVE - 8+ years of software engineering experience, including multiple years managing high-performing engineering teams. - Experience leading teams responsible for large-scale distributed systems or cloud infrastructure. - Strong technical background that enables you to guide architectural decisions and mentor senior engineers. - Experience operating highly available production services with strong reliability and operational excellence. - Experience building platforms that require scalability, observability, automation, and cost optimization. - Strong cross-functional leadership skills with the ability to partner effectively across Engineering, Research, Product, and external vendors. - Excellent communication skills and the ability to influence technical strategy across organizations. - A passion for building teams and developing engineering talent. NICE TO HAVE - Experience with AI infrastructure, LLM serving, or machine learning platforms. - Experience working with multiple model providers such as OpenAI, Anthropic, Azure OpenAI, Fireworks, Baseten, or open-source model ecosystems. - Experience building inference platforms, model gateways, traffic routing systems, or policy-based serving infrastructure. - Experience with Kubernetes, cloud infrastructure, distributed systems, and large-scale observability platforms. - Experience supporting GPU infrastructure, model training platforms, or ML infrastructure. - Familiarity with data platforms and technologies such as Spark, Kafka, Flink, Airflow, or Iceberg. - Experience leading organizations through periods of rapid growth and technical transformation. COMPENSATION $260,000 - $350,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-AN2 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: Pasir Gudang, Malaysia Our Client Our client is a Singapore-based multinational food and beverage company specializing in the production and distribution of instant beverages, particularly coffee mixes and non-dairy creamers. With a strong presence across Asia, Eastern Europe, and other emerging markets, the company focuses on delivering affordable, mass-market products while continuously optimizing cost efficiency and product formulations. Its operations are supported by manufacturing facilities, including in Malaysia, and it actively competes with Chinese producers by exploring innovations in ingredients and production processes to maintain competitiveness in pricing and quality. Key Responsibilities Conduct research on current consumer market trends and emerging technologies to support the development of new food products. Establish and optimize production applications to ensure new products can be successfully transferred into manufacturing. Plan and conduct production trial runs, prepare trial reports and analysis, and carry out product evaluation and testing to assess product performance, quality, and feasibility. Ensure all product development activities comply with existing technical specifications, quality standards, and company procedures. Conduct shelf-life studies for newly developed products to validate product stability and quality over time. Support the implementation, maintenance, and continuous improvement of the Quality Management System (QMS) and Food Safety Management System (FSMS). Ensure compliance with food safety standards and certifications, including HACCP, GMP, FSSC 22000, BRC, IFS, and Halal requirements. Act as the team lead in the absence of the R&D Assistant Manager , providing guidance and ensuring continuity of day-to-day operations. Requirements Bachelor's Degree in Food Technology, Chemical Engineering, Bio-Process Engineering, or a related discipline in Food Research & Development. 3+ years of prior experience within a food manufacturing environment handling non-dairy creamers (NDC). Familiarity with food safety and quality management standards is preferred. Willing to be based and work in Tanjung Langsat, Pasir Gudang, Johor. Strong analytical, problem-solving, and organizational skills. Good communication and teamwork abilities, with the capability to work effectively in a cross-functional environment. Proactive, detail-oriented, and able to work independently while managing multiple priorities.

Location: Dammam, Saudi Arabia We are looking for an experienced IT Solution Analyst – Business Solutions to support the eMarketPlace platform and related digital commerce solutions. The role will be responsible for understanding business requirements, translating them into scalable technology solutions, supporting solution design and implementation, and working closely with business and technology stakeholders to deliver effective eCommerce and marketplace capabilities . The ideal candidate should have strong experience in eMarketPlace solutions, commerce solutions, eCommerce platforms, CommerceTools, MACH architecture, guided buying, and eCatalogue solutions . Key Responsibilities & Accountabilities Analyze business requirements and translate them into functional and technical solution requirements. Support the design, implementation, and enhancement of eMarketPlace and eCommerce solutions . Work closely with business stakeholders to understand business processes, pain points, and future requirements. Define solution approaches that align with business objectives, enterprise architecture, security, integration, and technology standards. Support the implementation and optimization of CommerceTools and other commerce-related platforms. Work with solution architects, developers, product owners, vendors, and business teams throughout the solution lifecycle. Analyze existing systems and processes and identify opportunities for improvement, automation, and digital transformation. Support MACH architecture principles, including Microservices, API-first, Cloud-native, and Headless approaches. Support guided buying capabilities and digital procurement/customer purchasing journeys. Define and document requirements for eCatalogue solutions, product information, pricing, availability, and related marketplace capabilities. Develop functional specifications, user stories, process flows, use cases, and acceptance criteria. Support integration requirements between the marketplace/eCommerce platform and enterprise systems such as ERP, CRM, PIM, payment, logistics, identity, and other business applications. Participate in solution evaluations, technical discussions, proof-of-concepts, and vendor assessments. Work with development and testing teams to ensure that delivered solutions meet business and functional requirements. Support system testing, UAT, defect resolution, deployment, and post-production stabilization. Identify risks, dependencies, gaps, and opportunities associated with proposed solutions. Ensure that solutions are scalable, secure, maintainable, and aligned with enterprise technology standards. Prepare solution documentation and maintain relevant technical and functional artifacts. Provide ongoing support and continuous improvement for eMarketPlace and commerce solutions. Requirements 5–7 years of relevant experience in IT business solutions, solution analysis, eCommerce, digital commerce, marketplace, or related domains. Strong experience with eMarketPlace solutions and commerce platforms . Hands-on or strong functional experience with CommerceTools . Strong understanding of eCommerce and digital commerce architectures . Experience with MACH architecture and modern headless commerce concepts. Experience with guided buying and digital purchasing/procurement journeys. Experience with eCatalogue solutions and product/catalog management. Experience gathering, analyzing, documenting, and translating business requirements into technology solutions.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Safeguards team builds the systems that detect and mitigate misuse of our AI models, from individual policy violations to sophisticated, coordinated attacks. A growing part of that work depends on lightweight detection methods trained on model internals, which let us identify harmful behavior cheaply and at scale. This work feeds directly into Anthropic's Responsible Scaling Policy commitments. We're looking for an engineer to own the infrastructure behind that research. This is the tooling our researchers rely on to run experiments, train detection methods, and select detections for launch. It sits between research and production: researchers depend on it for fast iteration, and our detection systems depend on it for reliable, correct results as our models continue to change. Running machine learning workloads at our scale often requires solving novel systems problems. You'll identify those problems and build the abstractions, pipelines, and tooling that keep the research loop fast as requirements shift underneath you. Strong candidates will have a track record of solving large-scale systems and data problems and will be excited to grow deep machine learning expertise alongside it. Key responsibilities Build and scale the infrastructure and data pipelines behind Safeguards machine learning research Own the training, evaluation, and scoring workflows researchers use, with a focus on cutting the time between an idea and a result Design tooling and interfaces, including libraries and command line tools, that researchers can use directly without needing to understand the systems underneath Build correctness and sanity checking into the stack, so results stay trustworthy as models and workloads evolve Take the highest-value research workflows from experiments to reliable, production-grade jobs Improve the throughput, cost, and reliability of large-scale inference and scoring workloads Partner closely with researchers and engineers across Safeguards to understand their workflows, anticipate how their needs will change, and design for that ahead of time Minimum qualifications Strong software engineering fundamentals and hands-on coding ability, with proficiency in Python Experience building and operating data-intensive or distributed systems in production Experience building tooling or infrastructure that other engineers or researchers use as a dependency Comfort working across the research-to-deployment pipeline, from exploratory experiments to production systems Ability to debug performance and correctness problems across an unfamiliar stack Strong written and verbal communication skills, and a collaborative approach to technical decisions Preferred qualifications Experience with high-performance, large-scale machine learning systems Familiarity with language modeling and transformers, including working with model internals Experience with machine learning framework internals, GPU or accelerator programming, or inference optimization Experience building experiment tracking, caching layers, or evaluation harnesses for research teams Experience with probes, interpretability, or classifier development Interest in the misuse risks of AI systems and a desire to work on mitigating them The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 — $500,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote: United States Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. We're looking for a Staff Product Manager to own the vision and roadmap for observability at Render. The role spans both the systems layer and the fast-emerging world of agent observability. This is a role for someone who wants to define what it means to understand your software in an era where AI is fundamentally changing how it gets built and run: where a production incident might trace through services, queues, model calls, and autonomous agent decisions, and where cost is measured in tokens as much as CPU-hours. This is a new specialization at Render, and you will own the visibility layer for AI workloads and drive the technical and strategic direction for Render's observability surface, including logs, metrics, traces, and the OpenTelemetry ecosystem. You'll engage with Render's customers and our product development teams to develop a deep understanding of how they debug, monitor, and manage spend, and build conviction about where observability needs to go next. WHAT YOU'LL DO - Own the vision, strategy, and roadmap for observability at Render. Your scope spans systems telemetry (logs, metrics, distributed tracing), OpenTelemetry-native instrumentation and export, agent and LLM observability (traces of model calls, tool use, and multi-step agent runs), and the cost and usage layer that makes token economics legible. - Drive prioritization across observability investments, balancing foundational telemetry infrastructure against near-term product needs. - Partner deeply with Engineering & other Product teams to shape the technical direction of Render's telemetry pipeline, ensuring architectural decisions optimize for signal fidelity, query performance, and cost at scale. Observability touches every product surface at Render, so the dexterity to understand the shape of our other investment areas is essential. - Develop a strong, opinionated point of view on what observability means for AI-native builders. How will OTel conventions extend to agent workloads, what a trace of an agent run could look like inside Render, and how teams should reason about token spend, model routing, and cost attribution. WE'RE LOOKING FOR - 7+ years in Product Management, with substantive experience in observability, monitoring, developer tools, or infrastructure products. - Working fluency with the OpenTelemetry ecosystem — signals, semantic conventions, collectors, and the tradeoffs of instrumenting real production systems. Bonus if you've tracked the emerging conventions for GenAI and agent observability. - Familiarity with the economics of AI workloads: token pricing, model selection tradeoffs, and how teams budget for and attribute LLM spend. Major bonus if you've worked on an LLM gateway, proxy, or metering product. - Deep developer empathy, for both internal engineering teams and our customers, and the technical depth to make sound architectural tradeoffs in collaboration with engineering. - A track record of taking ambiguous, cross-cutting problems and turning them into clear strategy and shipped outcomes. - Strong communication and storytelling skills. WHAT WOULD BE NICE TO HAVE BUT NOT REQUIRED - Experience as an SRE, observability engineer, or infrastructure engineer. - Hands-on experience building AI agents, or instrumenting and evaluating them in production. - Contributions to OpenTelemetry or adjacent open-source telemetry projects. If this role excites you but you don't meet every single requirement or your experience is in an adjacent role such as engineering management, we'd still love to hear from you. Your unique experience might be just what we need. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: Remote: United States Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. We're looking for a Staff Product Manager to own the vision and roadmap for Render's datastores portfolio, with our Postgres offering at the center. You will define what a modern managed database experience looks like, including how database products will adapt to new state patterns from agents and how agents as users of state-keeping products should be accommodated. You'll drive the technical and strategic direction for Render Postgres and our broader data layer, working directly with your team and infrastructure engineering to shape architectural decisions. You'll engage with Render's customers and our product development teams to develop a deep understanding of their data needs and build conviction about where the datastores portfolio needs to go next. WHAT YOU'LL DO - Own the vision, strategy, and roadmap for Render's datastores, anchored on Postgres. Your scope spans provisioning and lifecycle management, high availability and disaster recovery, backups and point-in-time recovery, scaling and performance, connection management, and the extension ecosystem. - Drive prioritization across Render's data investments, balancing the leverage of foundational reliability work — replication, failover, storage performance — against near-term product and business needs, and being able to negotiate those tradeoffs. - Partner deeply with Engineering & other Product teams to shape the technical direction of Render's data layer, ensuring architectural decisions optimize for durability, performance, and operational simplicity. Databases are where customer trust is won or lost, so an instinct for reliability and data safety is essential. - Develop a strong, opinionated point of view on how managed Postgres needs to evolve to serve AI-native builders — from vector workloads and retrieval pipelines to databases that are spun up, branched, and torn down programmatically by agents at scale. - Set the standard for how developers experience data on Render, providing clear guidance, sensible defaults, and abstractions that make it easy for teams to run production databases with confidence — without needing a DBA on staff. WE'RE LOOKING FOR - 7+ years in Product Management, with the majority spent on databases, data infrastructure, developer tools, or platform products. - Familiarity with Postgres — its architecture, operational model, ecosystem, and the tradeoffs teams face running it in production. Bonus if you have strong perspective on how agentic workloads and AI-native applications are reshaping database usage patterns. - Deep developer empathy, for both internal engineering teams and our customers, and the technical depth to make sound architectural tradeoffs in collaboration with engineering. - A track record of taking ambiguous, high-stakes reliability and infrastructure problems and turning them into clear strategy and shipped outcomes. - Strong communication and storytelling skills. WHAT WOULD BE NICE TO HAVE BUT NOT REQUIRED - Experience as a database engineer, DBA, or infrastructure engineer. - Hands-on experience with Postgres internals, replication tooling, or the extension ecosystem (e.g., pgvector, PostGIS). - Experience building AI agents or the data infrastructure that powers them. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view