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Location: San Francisco, California; New York, New York Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE As a Product Operations Manager, you’ll work closely with Product and Engineering teams to drive launch operations and quality, ensuring teams can operate effectively as Notion scales. You’ll serve as the core liaison between Product and the go-to-market organization, helping ensure new products and features are successful.   This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. The ideal candidate is able to dive into ambiguous problems that require deep technical fluency, think in systems to scale technical programs, identify and build agentic workflows to accelerate processes, and communicate effectively to drive alignment across cross-functional teams. Your core responsibilities are: - Partner with product teams to help drive product strategy by synthesizing customer + internal signals into clear insights, framing bets/tradeoffs, and driving alignment on priorities. - Build agentic workflows, tooling and processes that drive engineering velocity and a higher bar for launch quality - Coordinate end-to-end launch of new features across teams, starting with early access programs with external customers to setting clear exit criteria for GA launches, to ensure successful outcomes. - Build evergreen feedback loops and triage + evaluation systems that allow teams build with confidence and prioritize the right bets. - Build strong relationships and drive clarity with key partner teams. SKILLS YOU'LL NEED TO BRING - You have at least 4+ years of experience working in product operations, technical program management, project management, or a product ownership role. - You regularly work and keep up with AI tools (i.e Claude Skills, Cowork, Codex etc) to support your work. - You can identify tradeoffs between building systems or processes that don’t scale to ensure successful outcomes. - You have strong communication skills and can work with both technical and non-technical audiences. This includes teams like Research, Data Science, Product, Security, Legal, Support, and Customer Success - You have strong analytical and problem-solving skills that allow you to act with high agency, at multiple altitudes. - You know when to prioritize collecting more information and when to make decisions with limited data. - You can operate in a fast paced environment where priorities and challenges can change quickly. NICE TO HAVES - Strong knowledge of basic scripting, APIs, MySQL, MCPs and similar open source technologies. - Knowledge of and experience using one or more of the following languages - Python, Go, C++ or Java and are comfortable with Github, CLI, etc. - Background in product management or engineering. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco and New York, the estimated base salary range for this role is $170,000-$210,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: 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 Harvey designs and builds for a legal industry being reshaped by AI, moving with the urgency and ambition the moment demands, not just adapting to change but architecting it. As a Design Systems Designer at Harvey, you will define the foundations that make our product coherent, scalable, and trustworthy as it grows in complexity. The design system is not just a library of components. It is the shared language between design, engineering, and AI that ensures consistency, quality, and confidence across every interaction. This is a design role with unusual technical depth. You lead with design: craft, systems thinking, and a strong point of view on product experience. But you're equally at home in architecture and implementation. You understand how tokens are structured, how components are composed, and how systems are built to scale, and you use that fluency to push the system forward rather than hand decisions over the wall. We're looking for someone who has lived through the evolution of the discipline, someone who understands not just how modern design systems work, but why they're built the way they are, and where the field is heading, especially as AI-native products reshape what a design system needs to be. This role will report to the Design org, and will be based in SF, NYC, or Toronto. WHAT YOU’LL DO 1. Build an AI-native design system that sets the bar for design quality for Design, Engineering, and Product through technical direction and collaboration - Design, prototype, and ship production-ready system components in tight collaboration with frontend and platform engineering, with shared ownership of quality, performance, and maintainability - Define and evolve the core design system foundations (components, patterns, and tokens) that scale across complex, AI-powered experiences - Push both the architecture and the implementation of the system: shape component APIs, token structure, theming, and composition patterns alongside engineering, not downstream of it - Advocate for technical approaches with confidence, especially in new or ambiguous territory where established patterns don't yet exist - Embed accessibility, responsiveness, and performance into the system by default - Establish clear contribution, governance, and deprecation models that balance velocity with system integrity - Raise the bar for system quality across the product through design reviews, critique, and hands-on work - Build alignment across Design, Engineering, and Product through technical direction and collaboration - Anticipate future product and platform needs, evolving the system proactively as Harvey scales 2. Own AI design and implementation workflows for the design team, establishing best practices for prototyping and shipping with AI - Establish in-code prototyping patterns that make it easier to be innovative and consistent as designers increasingly leverage IDEs to experiment and ship. - Define AI-assisted design and implementation workflows, establishing best practices for prototyping and shipping with AI - Document system usage and best practices in a way that is clear, practical, and trusted by product teams   WHAT YOU HAVE - 5+ years (Senior) / 8+ years (Staff) of product design experience, with significant ownership of design systems in complex product environments - A design portfolio that demonstrates high design craft in system-level thinking, but a strong point of view on quality, and visual cohesion - Deep design systems expertise, including an understanding of the history and evolution of the discipline. You know why the field moved from style guides to tokens to composable architectures, and you have a point of view on what comes next - Excellent design engineering communication: you articulate system decisions and tradeoffs fluently to designers, engineers, and cross-functional partners - Ability to clearly articulate system decisions and tradeoffs to designers, engineers, and cross-functional partners - Strong knowledge of scalable system architecture and component implementation: component API design, design tokens, theming strategies, and how systems hold up across teams and codebases - Design Engineer experience preferred, but not required in an AI-first world where the boundary between design and engineering is shifting - High ownership: you treat the system as a product, not a ticket queue - Strong opinions, loosely held, being comfortable challenging conventions and evolving best practices as the discipline changes - Comfort operating in ambiguous problem spaces and bringing structure where it doesn't yet exist   WHY DESIGN SYSTEMS MATTER AT HARVEY Harvey is an AI-native product. As the system reasons, responds, and adapts in real time, the interface must remain consistent and legible. A strong design system ensures that complexity does not leak into the experience. It enables teams to move faster, reduces cognitive load for users, and builds trust in moments where clarity matters most.   COMPENSATION $205,760 - $315,000 USD   DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-JC1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey designs and builds for a legal industry being reshaped by AI, moving with the urgency and ambition the moment demands, not just adapting to change but architecting it. As a Design Systems Designer at Harvey, you will define the foundations that make our product coherent, scalable, and trustworthy as it grows in complexity. The design system is not just a library of components. It is the shared language between design, engineering, and AI that ensures consistency, quality, and confidence across every interaction. This is a design role with unusual technical depth. You lead with design: craft, systems thinking, and a strong point of view on product experience. But you're equally at home in architecture and implementation. You understand how tokens are structured, how components are composed, and how systems are built to scale, and you use that fluency to push the system forward rather than hand decisions over the wall. We're looking for someone who has lived through the evolution of the discipline, someone who understands not just how modern design systems work, but why they're built the way they are, and where the field is heading, especially as AI-native products reshape what a design system needs to be. This role will report to the Design org, and will be based in SF, NYC, or Toronto. WHAT YOU’LL DO 1. Build an AI-native design system that sets the bar for design quality for Design, Engineering, and Product through technical direction and collaboration - Design, prototype, and ship production-ready system components in tight collaboration with frontend and platform engineering, with shared ownership of quality, performance, and maintainability - Define and evolve the core design system foundations (components, patterns, and tokens) that scale across complex, AI-powered experiences - Push both the architecture and the implementation of the system: shape component APIs, token structure, theming, and composition patterns alongside engineering, not downstream of it - Advocate for technical approaches with confidence, especially in new or ambiguous territory where established patterns don't yet exist - Embed accessibility, responsiveness, and performance into the system by default - Establish clear contribution, governance, and deprecation models that balance velocity with system integrity - Raise the bar for system quality across the product through design reviews, critique, and hands-on work - Build alignment across Design, Engineering, and Product through technical direction and collaboration - Anticipate future product and platform needs, evolving the system proactively as Harvey scales 2. Own AI design and implementation workflows for the design team, establishing best practices for prototyping and shipping with AI - Establish in-code prototyping patterns that make it easier to be innovative and consistent as designers increasingly leverage IDEs to experiment and ship. - Define AI-assisted design and implementation workflows, establishing best practices for prototyping and shipping with AI - Document system usage and best practices in a way that is clear, practical, and trusted by product teams WHAT YOU HAVE - 5+ years (Senior) / 8+ years (Staff) of product design experience, with significant ownership of design systems in complex product environments - A design portfolio that demonstrates high design craft in system-level thinking, but a strong point of view on quality, and visual cohesion - Deep design systems expertise, including an understanding of the history and evolution of the discipline. You know why the field moved from style guides to tokens to composable architectures, and you have a point of view on what comes next - Excellent design engineering communication: you articulate system decisions and tradeoffs fluently to designers, engineers, and cross-functional partners - Ability to clearly articulate system decisions and tradeoffs to designers, engineers, and cross-functional partners - Strong knowledge of scalable system architecture and component implementation: component API design, design tokens, theming strategies, and how systems hold up across teams and codebases - Design Engineer experience preferred, but not required in an AI-first world where the boundary between design and engineering is shifting - High ownership: you treat the system as a product, not a ticket queue - Strong opinions, loosely held, being comfortable challenging conventions and evolving best practices as the discipline changes - Comfort operating in ambiguous problem spaces and bringing structure where it doesn't yet exist WHY DESIGN SYSTEMS MATTER AT HARVEY Harvey is an AI-native product. As the system reasons, responds, and adapts in real time, the interface must remain consistent and legible. A strong design system ensures that complexity does not leak into the experience. It enables teams to move faster, reduces cognitive load for users, and builds trust in moments where clarity matters most. COMPENSATION $205,760 - $315,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-JC1 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: Manchester Workplace: Hybrid LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? YOUR MISSION In this role as an Enterprise Account Executive, you’ll be a dedicated sales specialist for Retail Solutions, previously Peak AI, who have now joined forces with UiPath to build a world-class, enterprise-grade Agentic AI offering. Peak’s AI platform optimizes inventories and pricing for global industry leaders including Nike, Heidelberg Materials and PepsiCo. With a core belief that businesses need their own AI — built for their business, with their data — Peak’s pre-built AI products can be configured to fit unique requirements. This position will be focused on new business logo acquisition, working within our EMEA team. You will be responsible for developing and executing with a focus on achieving pipeline generation and ARR sales targets. You will identify, establish and develop relationships with new potential customers whilst working as part of a close commercial team to deliver the professionalism, consultation, and innovation that both Peak and our Customers expect. The role is based in Manchester, with a weekly presence in the office required. WHAT YOU'LL DO AT UIPATH - Responsible for increasing revenue for Peak by hitting & exceeding sales objectives each quarter, through net new logos within Peak’s ICP of retail space. - Identify, establish, and develop relationships with new potential customers. Learn about their needs and identify the opportunities where Peak can drive value. - Generate and manage net new sales opportunities via personal outbound efforts (networking, cold calls, emails, social selling, etc.). - Execute on an accurate weekly, monthly, quarterly forecast to rollup to management. - Work closely with the Marketing team to create marketing campaigns and convert those sales leads into profitable business. - Work closely with our Solution Engineering and Data Insights Team to bring pre-sales processes to life and inspire customers to start their Agentic AI journey. Crafting sales decks, materials, and narratives to drive a compelling story and narrative. WHAT YOU'LL BRING TO THE TEAM - Extensive experience selling SaaS end to end, including 3+ years experience of enterprise SaaS sales in complex cycles. - Experience in SDR / BDR role and/or the personal motivation to create your own pipeline as part of a wider opportunity-flow strategy. - Demonstrated experience consistently exceeding sales quotas in New Logo acquisition – you are a top performer no matter the environment, particularly with mid-sized and large enterprises. - Proven ability and desire to generate your own opportunities via personal outbound efforts. - Trained and experienced in customer-centric selling methodologies (MEDDPICC, BANT). - Experience developing relationships and working with a partner network throughout the sales cycle (particularly Regional SIs and Global SIs). - The ability to travel approximately 25-30% of the time to regional meetings with prospects, customers, channel partners, ecosystem/integration partners and field marketing events. - Experience and understanding of advanced analytics, machine learning and/or AI. - Experience selling to retailers. #LI-FF1 Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

Location: Dublin, Ireland Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What’s The Opportunity? Fin is looking for an exceptional Solutions Architect to join our vibrant Customer Solutions Team. In this role, you’ll engage directly with our customers as their trusted advisor, playing a pivotal part in defining and demonstrating value across the entire sales cycle. With a natural curiosity, independent thinking, and strong problem-solving skills, you’ll partner closely with Product, R&D, and Engineering to ensure our customers’ needs and insights are at the core of our AI powered solutions. What Will I Be Doing? Lead technical discovery to identify and address our customers’ needs Deliver an exceptional pre-sales experience by articulating Fin's value and technical expertise Conduct impactful, value-based solution reviews and in-depth technical sessions Design and lead tailored Proof of Concepts (POCs) that showcase Fin's capabilities Serve as the primary resource for RFPs and customer security questions, utilizing standardized materials and escalating complex issues Collaborate cross-functionally with Product and Engineering to represent the customer voice, gathering feedback and insights for product planning Build trust with customers by approaching challenges with empathy and curiosity Continuously improve processes and contribute to building a best-in-class Solutions Engineering playbook at Fin Commit to customer success, ensuring lasting value and proactively addressing challenges What Skills Do I Need? Minimum of 4 years of experience in a technical pre-sales role, managing C-Level technical and business relationships Strong technical acumen with experience in conducting technical discovery and delivering high-impact value presentations. Ability to solve problems independently while thriving in collaborative team environments Proven time management skills in a dynamic team environment Demonstrated ability to quickly identify and communicate the value proposition throughout the sales cycle. Leverage your skills in translating complex business challenges into tailored Fin solutions, effectively communicating with both technical and non-technical audiences to drive understanding and impact. Experience working closely with product and engineering teams to communicate customer feedback and influence product direction. Familiarity with managing POCs, RFPs, and addressing complex security questions. Excellent communication and interpersonal skills, with a passion for leading with empathy and curiosity Ability to challenge the status quo and continuously improve Solutions Engineering processes and playbooks Bring an open mind, be a collaborative colleague with a commitment to go above and beyond to drive the success of your team and the company Willing and able to travel occasionally #LI-Hybrid #LI-RH1 Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Poland Our mission Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency. With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students. Please send your resume in English only. Duties and Responsibilities: Strategic Roadmap Ownership: Define and drive a multi-year, outcome-based roadmap that aligns with global business goals and North Star metrics. Market Intelligence: Lead comprehensive market research to identify emerging trends in AI and EdTech, ensuring our product strategy remains ahead of the curve. Monetization & Pricing: Own the pricing strategy for international markets. Conduct analysis to determine price floors and ceilings, and optimize monetization models to maximize LTV. Scientific & Data Leadership: Apply a scientific approach to product discovery. Analyze performance data to validate hypotheses and drive data-informed decision-making across the organization. Stakeholder Management: Act as a key partner for the Leadership Team, delivering clear, data-backed insights and recommendations that influence company-wide strategy. Team Mentorship: Lead, mentor, and scale a team of product managers, fostering a culture of accountability, growth, and high-quality PRD standards. Cross-functional Collaboration: Serve as the primary point of contact for Engineering, Data Science, and Design teams to prioritize features and resolve technical/business trade-offs. Qualifications and Experience: 5+ years of experience as a Product Manager in software development (SaaS, EdTech, or AI-driven products). Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical/scientific field. Proven ability to manage products using complex data analysis and scientific research methodologies. Expert knowledge of prioritization frameworks (e.g., RICE, WSJF) and experience building outcome-driven (not just feature-driven) roadmaps. Strong track record of writing high-quality PRDs and managing sprints in a fast-paced, agile environment. Experience leading cross-functional stakeholders and directly mentoring other product managers. Fluent English with the ability to articulate technical concepts to non-technical stakeholders clearly. Nice to Have: Academic background in Business (MBA/BBA) or completion of advanced product strategy programs (e.g., Reforge, Kellogg, or similar). Experience in building and scaling AI/ML-powered products . Background in Science or experience with academic/research-focused software. Experience managing products with millions of users across multiple geographical regions. What We Offer 💻 Choice of work equipment (e.g., laptop, monitor, etc.) 🇬🇧 English classes (iTalki – $130 monthly) ⏰ Flexible schedule (we usually work between 09:00/10:00 and 18:00/19:00) 👶 Newborn bonus (€500 per child) 🧠 Patent remuneration 🌴 Paid leave 🧑‍💻 Remote work in locations without our offices Hybrid work in locations with offices (2 days in-office, 3 days remote) Constructor fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organisation where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.

Location: Portugal Our mission Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency. With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students. Please send your resume in English only. Duties and Responsibilities: Strategic Roadmap Ownership: Define and drive a multi-year, outcome-based roadmap that aligns with global business goals and North Star metrics. Market Intelligence: Lead comprehensive market research to identify emerging trends in AI and EdTech, ensuring our product strategy remains ahead of the curve. Monetization & Pricing: Own the pricing strategy for international markets. Conduct analysis to determine price floors and ceilings, and optimize monetization models to maximize LTV. Scientific & Data Leadership: Apply a scientific approach to product discovery. Analyze performance data to validate hypotheses and drive data-informed decision-making across the organization. Stakeholder Management: Act as a key partner for the Leadership Team, delivering clear, data-backed insights and recommendations that influence company-wide strategy. Team Mentorship: Lead, mentor, and scale a team of product managers, fostering a culture of accountability, growth, and high-quality PRD standards. Cross-functional Collaboration: Serve as the primary point of contact for Engineering, Data Science, and Design teams to prioritize features and resolve technical/business trade-offs. Qualifications and Experience: 5+ years of experience as a Product Manager in software development (SaaS, EdTech, or AI-driven products). Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical/scientific field. Proven ability to manage products using complex data analysis and scientific research methodologies. Expert knowledge of prioritization frameworks (e.g., RICE, WSJF) and experience building outcome-driven (not just feature-driven) roadmaps. Strong track record of writing high-quality PRDs and managing sprints in a fast-paced, agile environment. Experience leading cross-functional stakeholders and directly mentoring other product managers. Fluent English with the ability to articulate technical concepts to non-technical stakeholders clearly. Nice to Have: Academic background in Business (MBA/BBA) or completion of advanced product strategy programs (e.g., Reforge, Kellogg, or similar). Experience in building and scaling AI/ML-powered products . Background in Science or experience with academic/research-focused software. Experience managing products with millions of users across multiple geographical regions. What We Offer 💻 Choice of work equipment (e.g., laptop, monitor, etc.) 🇬🇧 English classes (iTalki – $130 monthly) ⏰ Flexible schedule (we usually work between 09:00/10:00 and 18:00/19:00) 👶 Newborn bonus (€500 per child) 🧠 Patent remuneration 🌴 Paid leave 🧑‍💻 Remote work in locations without our offices Hybrid work in locations with offices (2 days in-office, 3 days remote) Constructor fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organisation where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.

Location: Spain Our mission Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency. With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students. Please send your resume in English only. Duties and Responsibilities: Strategic Roadmap Ownership: Define and drive a multi-year, outcome-based roadmap that aligns with global business goals and North Star metrics. Market Intelligence: Lead comprehensive market research to identify emerging trends in AI and EdTech, ensuring our product strategy remains ahead of the curve. Monetization & Pricing: Own the pricing strategy for international markets. Conduct analysis to determine price floors and ceilings, and optimize monetization models to maximize LTV. Scientific & Data Leadership: Apply a scientific approach to product discovery. Analyze performance data to validate hypotheses and drive data-informed decision-making across the organization. Stakeholder Management: Act as a key partner for the Leadership Team, delivering clear, data-backed insights and recommendations that influence company-wide strategy. Team Mentorship: Lead, mentor, and scale a team of product managers, fostering a culture of accountability, growth, and high-quality PRD standards. Cross-functional Collaboration: Serve as the primary point of contact for Engineering, Data Science, and Design teams to prioritize features and resolve technical/business trade-offs. Qualifications and Experience: 5+ years of experience as a Product Manager in software development (SaaS, EdTech, or AI-driven products). Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical/scientific field. Proven ability to manage products using complex data analysis and scientific research methodologies. Expert knowledge of prioritization frameworks (e.g., RICE, WSJF) and experience building outcome-driven (not just feature-driven) roadmaps. Strong track record of writing high-quality PRDs and managing sprints in a fast-paced, agile environment. Experience leading cross-functional stakeholders and directly mentoring other product managers. Fluent English with the ability to articulate technical concepts to non-technical stakeholders clearly. Nice to Have: Academic background in Business (MBA/BBA) or completion of advanced product strategy programs (e.g., Reforge, Kellogg, or similar). Experience in building and scaling AI/ML-powered products . Background in Science or experience with academic/research-focused software. Experience managing products with millions of users across multiple geographical regions. What We Offer 💻 Choice of work equipment (e.g., laptop, monitor, etc.) 🇬🇧 English classes (iTalki – $130 monthly) ⏰ Flexible schedule (we usually work between 09:00/10:00 and 18:00/19:00) 👶 Newborn bonus (€500 per child) 🧠 Patent remuneration 🌴 Paid leave 🧑‍💻 Remote work in locations without our offices Hybrid work in locations with offices (2 days in-office, 3 days remote) Constructor fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organisation where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.

Location: Germany Our mission Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency. With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students. Please send your resume in English only. Duties and Responsibilities: Strategic Roadmap Ownership: Define and drive a multi-year, outcome-based roadmap that aligns with global business goals and North Star metrics. Market Intelligence: Lead comprehensive market research to identify emerging trends in AI and EdTech, ensuring our product strategy remains ahead of the curve. Monetization & Pricing: Own the pricing strategy for international markets. Conduct analysis to determine price floors and ceilings, and optimize monetization models to maximize LTV. Scientific & Data Leadership: Apply a scientific approach to product discovery. Analyze performance data to validate hypotheses and drive data-informed decision-making across the organization. Stakeholder Management: Act as a key partner for the Leadership Team, delivering clear, data-backed insights and recommendations that influence company-wide strategy. Team Mentorship: Lead, mentor, and scale a team of product managers, fostering a culture of accountability, growth, and high-quality PRD standards. Cross-functional Collaboration: Serve as the primary point of contact for Engineering, Data Science, and Design teams to prioritize features and resolve technical/business trade-offs. Qualifications and Experience: 5+ years of experience as a Product Manager in software development (SaaS, EdTech, or AI-driven products). Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical/scientific field. Proven ability to manage products using complex data analysis and scientific research methodologies. Expert knowledge of prioritization frameworks (e.g., RICE, WSJF) and experience building outcome-driven (not just feature-driven) roadmaps. Strong track record of writing high-quality PRDs and managing sprints in a fast-paced, agile environment. Experience leading cross-functional stakeholders and directly mentoring other product managers. Fluent English with the ability to articulate technical concepts to non-technical stakeholders clearly. Nice to Have: Academic background in Business (MBA/BBA) or completion of advanced product strategy programs (e.g., Reforge, Kellogg, or similar). Experience in building and scaling AI/ML-powered products . Background in Science or experience with academic/research-focused software. Experience managing products with millions of users across multiple geographical regions. What We Offer 💻 Choice of work equipment (e.g., laptop, monitor, etc.) 🇬🇧 English classes (iTalki – $130 monthly) ⏰ Flexible schedule (we usually work between 09:00/10:00 and 18:00/19:00) 👶 Newborn bonus (€500 per child) 🧠 Patent remuneration 🌴 Paid leave 🧑‍💻 Remote work in locations without our offices Hybrid work in locations with offices (2 days in-office, 3 days remote) Constructor fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organisation where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.

Location: Turkey, Istanbul Our mission Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency. With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students. Please send your resume in English only. Duties and Responsibilities: Strategic Roadmap Ownership: Define and drive a multi-year, outcome-based roadmap that aligns with global business goals and North Star metrics. Market Intelligence: Lead comprehensive market research to identify emerging trends in AI and EdTech, ensuring our product strategy remains ahead of the curve. Monetization & Pricing: Own the pricing strategy for international markets. Conduct analysis to determine price floors and ceilings, and optimize monetization models to maximize LTV. Scientific & Data Leadership: Apply a scientific approach to product discovery. Analyze performance data to validate hypotheses and drive data-informed decision-making across the organization. Stakeholder Management: Act as a key partner for the Leadership Team, delivering clear, data-backed insights and recommendations that influence company-wide strategy. Team Mentorship: Lead, mentor, and scale a team of product managers, fostering a culture of accountability, growth, and high-quality PRD standards. Cross-functional Collaboration: Serve as the primary point of contact for Engineering, Data Science, and Design teams to prioritize features and resolve technical/business trade-offs. Qualifications and Experience: 5+ years of experience as a Product Manager in software development (SaaS, EdTech, or AI-driven products). Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical/scientific field. Proven ability to manage products using complex data analysis and scientific research methodologies. Expert knowledge of prioritization frameworks (e.g., RICE, WSJF) and experience building outcome-driven (not just feature-driven) roadmaps. Strong track record of writing high-quality PRDs and managing sprints in a fast-paced, agile environment. Experience leading cross-functional stakeholders and directly mentoring other product managers. Fluent English with the ability to articulate technical concepts to non-technical stakeholders clearly. Nice to Have: Academic background in Business (MBA/BBA) or completion of advanced product strategy programs (e.g., Reforge, Kellogg, or similar). Experience in building and scaling AI/ML-powered products . Background in Science or experience with academic/research-focused software. Experience managing products with millions of users across multiple geographical regions. What We Offer 💻 Choice of work equipment (e.g., laptop, monitor, etc.) 🇬🇧 English classes (iTalki – $130 monthly) ⏰ Flexible schedule (we usually work between 09:00/10:00 and 18:00/19:00) 👶 Newborn bonus (€500 per child) 🧠 Patent remuneration 🌴 Paid leave 🧑‍💻 Remote work in locations without our offices Hybrid work in locations with offices (2 days in-office, 3 days remote) Constructor fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organisation where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.

Location: Bulgaria, Sofia Our mission Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency. With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students. Please send your resume in English only. Duties and Responsibilities: Strategic Roadmap Ownership: Define and drive a multi-year, outcome-based roadmap that aligns with global business goals and North Star metrics. Market Intelligence: Lead comprehensive market research to identify emerging trends in AI and EdTech, ensuring our product strategy remains ahead of the curve. Monetization & Pricing: Own the pricing strategy for international markets. Conduct analysis to determine price floors and ceilings, and optimize monetization models to maximize LTV. Scientific & Data Leadership: Apply a scientific approach to product discovery. Analyze performance data to validate hypotheses and drive data-informed decision-making across the organization. Stakeholder Management: Act as a key partner for the Leadership Team, delivering clear, data-backed insights and recommendations that influence company-wide strategy. Team Mentorship: Lead, mentor, and scale a team of product managers, fostering a culture of accountability, growth, and high-quality PRD standards. Cross-functional Collaboration: Serve as the primary point of contact for Engineering, Data Science, and Design teams to prioritize features and resolve technical/business trade-offs. Qualifications and Experience: 5+ years of experience as a Product Manager in software development (SaaS, EdTech, or AI-driven products). Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical/scientific field. Proven ability to manage products using complex data analysis and scientific research methodologies. Expert knowledge of prioritization frameworks (e.g., RICE, WSJF) and experience building outcome-driven (not just feature-driven) roadmaps. Strong track record of writing high-quality PRDs and managing sprints in a fast-paced, agile environment. Experience leading cross-functional stakeholders and directly mentoring other product managers. Fluent English with the ability to articulate technical concepts to non-technical stakeholders clearly. Nice to Have: Academic background in Business (MBA/BBA) or completion of advanced product strategy programs (e.g., Reforge, Kellogg, or similar). Experience in building and scaling AI/ML-powered products . Background in Science or experience with academic/research-focused software. Experience managing products with millions of users across multiple geographical regions. What We Offer 💻 Choice of work equipment (e.g., laptop, monitor, etc.) 🇬🇧 English classes (iTalki – $130 monthly) ⏰ Flexible schedule (we usually work between 09:00/10:00 and 18:00/19:00) 👶 Newborn bonus (€500 per child) 🧠 Patent remuneration 🌴 Paid leave 🧑‍💻 Remote work in locations without our offices Hybrid work in locations with offices (2 days in-office, 3 days remote) Constructor fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organisation where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.

Location: Zürich, CH 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 production models undergo sophisticated post-training processes to enhance their capabilities, alignment, and safety. As a Research Engineer on our Post-Training team, you'll train our base models through the complete post-training stack to deliver the production Claude models that users interact with. You'll work at the intersection of cutting-edge research and production engineering, implementing, scaling, and improving post-training techniques like Constitutional AI, RLHF, and other alignment methodologies. Your work will directly impact the quality, safety, and capabilities of our production models. Note: For this role, we conduct all interviews in Python. This role may require responding to incidents on short-notice, including on weekends. Responsibilities: Implement and optimize post-training techniques at scale on frontier models Conduct research to develop and optimize post-training recipes that directly improve production model quality Design, build, and run robust, efficient pipelines for model fine-tuning and evaluation Develop tools to measure and improve model performance across various dimensions Collaborate with research teams to translate emerging techniques into production-ready implementations Debug complex issues in training pipelines and model behavior Help establish best practices for reliable, reproducible model post-training You may be a good fit if you: Thrive in controlled chaos and are energised, rather than overwhelmed, when juggling multiple urgent priorities Adapt quickly to changing priorities Maintain clarity when debugging complex, time-sensitive issues Have strong software engineering skills with experience building complex ML systems Are comfortable working with large-scale distributed systems and high-performance computing Have experience with training, fine-tuning, or evaluating large language models Can balance research exploration with engineering rigor and operational reliability Are adept at analyzing and debugging model training processes Enjoy collaborating across research and engineering disciplines Can navigate ambiguity and make progress in fast-moving research environments Strong candidates may also: Have experience with LLMs Have a keen interest in AI safety and responsible deployment We welcome candidates at various experience levels, with a preference for senior engineers who have hands-on experience with frontier AI systems. However, proficiency in Python, deep learning frameworks, and distributed computing is required for this role. 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: Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Federal DoW/IC Account Executive at Anthropic, you'll drive the adoption of safe, frontier AI across DoW/IC agencies. You'll leverage your deep understanding of DoW/IC operations and consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll help refine our approach to the DoW/IC market while maintaining the highest standards of security and compliance. Responsibilities: Drive new business and revenue growth specifically within DoW/IC agencies, owning the full sales cycle from initial outreach through deployment Navigate the unique requirements of DoW/IC procurement, including DFAR compliance, ITAR/EAR regulations, security clearance requirements, and agency-specific security protocols Build and maintain relationships with key decision-makers across DoW/IC agencies, becoming a trusted advisor on AI capabilities and implementation in classified and unclassified environments Develop and execute strategic account plans that align with mission requirements, operational needs, and modernization initiatives Coordinate closely with cleared cloud service providers and cleared system integrators to ensure successful deployment and integration Provide detailed market intelligence and customer feedback to product teams to ensure our offerings meet DoW/IC requirements, including classification levels and air-gapped environments Create and maintain sales playbooks specific to DoW/IC use cases, procurement processes, and security requirements Take a leadership role in growing our DoW/IC presence while maintaining hands-on engagement with key accounts Collaborate across teams to ensure coordinated delivery of commitments and maintain appropriate documentation of customer engagements with proper security protocols You may be a good fit if you have: 7+ years of enterprise sales experience in the DoW/IC space, with a proven track record of driving adoption of emerging technologies Deep understanding of DoW/IC agency missions, operational challenges, and technology needs across classification levels Active security clearance (TS/SCI preferred) with ability to discuss capabilities in classified environments Demonstrated ability to balance strategic leadership with hands-on sales execution in high-security environments Experience navigating complex DoW/IC procurement processes, including knowledge of SEWP, CIO-SP3, GSA, and other relevant contracting vehicles Strong track record of exceeding revenue targets in the DoW/IC space Extensive experience with DoW/IC contracting vehicles, procurement mechanisms, and security compliance requirements Excellent relationship-building skills across all levels, from technical teams to senior agency leadership, including military and civilian leadership Proven ability to coordinate across multiple stakeholders, including cleared cloud providers, cleared system integrators, and security personnel Strategic thinking combined with attention to detail in execution, particularly regarding security protocols A passion for safe and ethical AI development, with the ability to articulate its importance in national security contexts Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $380,000 — $450,000 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: London, UK 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 teams Our Reinforcement Learning teams lead Anthropic's reinforcement learning research and development, playing a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of Claude Sonnet 4.5 and Opus 4.5. Our work spans several key areas: Developing systems that enable models to use computers effectively Advancing code generation through reinforcement learning Pioneering fundamental RL research for large language models Building scalable RL infrastructure and training methodologies Enhancing model reasoning capabilities We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implement our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish. About the Role As a Research Engineer within Reinforcement Learning, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models. This role blends research and engineering responsibilities, requiring you to both implement novel approaches and contribute to the research direction. You'll work on fundamental research in reinforcement learning, creating 'agentic' models via tool use for open-ended tasks such as computer use and autonomous software generation, improving reasoning abilities in areas such as mathematics, and developing prototypes for internal use, productivity, and evaluation. Representative projects: Architect and optimize core reinforcement learning infrastructure, from clean training abstractions to distributed experiment management across GPU clusters. Help scale our systems to handle increasingly complex research workflows. Design, implement, and test novel training environments, evaluations, and methodologies for reinforcement learning agents which push the state of the art for the next generation of models. Drive performance improvements across our stack through profiling, optimization, and benchmarking. Implement efficient caching solutions and debug distributed systems to accelerate both training and evaluation workflows. Collaborate across research and engineering teams to develop automated testing frameworks, design clean APIs, and build scalable infrastructure that accelerates AI research. You may be a good fit if you: Are proficient in Python and async/concurrent programming with frameworks like Trio Have experience with machine learning frameworks (PyTorch, TensorFlow, JAX) Have industry experience in machine learning research Can balance research exploration with engineering implementation Enjoy pair programming (we love to pair!) Care about code quality, testing, and performance Have strong systems design and communication skills Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems Strong candidates may have: Familiarity with LLM architectures and training methodologies Experience with reinforcement learning techniques and environments Experience with virtualization and sandboxed code execution environments Experience with Kubernetes Experience with distributed systems or high-performance computing Experience with Rust and/or C++ Strong candidates need not have: Formal certifications or education credentials Academic research experience or publication history Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £260,000 — £630,000 GBP 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: Prague Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work. Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you. Our vision: A world where everyone is free to focus on their most purposeful work, together. Ready to become a Wriker? You'll own your outcomes, from the strategies you run to the conversations that shape what we build next. We’re looking for a driven, curious, and growth‑minded Inside Sales Representative to join our Commercial Sales organization at Wrike. In this role, you’ll build meaningful relationships with prospects and customers, uncover new opportunities, and help expand the adoption of the Wrike platform. If you thrive in a fast‑paced environment, enjoy problem‑solving, and love collaborating with a high‑energy team, we’d love to meet you. As part of our Prague co‑location strategy, this role follows a 3‑day in‑office schedule . Being together enables faster learning, stronger collaboration, and a shared rhythm that accelerates both individual and team growth. Team Dynamics: The ISR is responsible for driving business on a defined set of accounts in the commercial segments. The ISR works closely with Account Managers and together work towards a specific booking target. ISR's are responsible for all sets of sales activity primarily outbound and for understanding customer pain points/challenges to provide/sell the best solution possible. Your Impact: Proactively do calling to all assigned existing customers and new prospective clients (hunting) and generating pipeline and incremental business on both Deep understanding customer/prospect needs and spot opportunities to expand Wrike within existing accounts. Research trends, competitors, and workflows to tailor outreach and add real value. Find new contacts and decision‑makers inside accounts through smart networking and research. Personalize outreach across email, phone, and LinkedIn to show how Wrike solves their challenges. Qualify opportunities, connect interested prospects with the right Account/ Executive Manager and other functions within the business. Leverage outbounding and AI tools (ie: Lusha, Sales Navigator, SalesLoft, Regie) to create a strategic list of potential prospects to target outreach Assess the suitability of potential opportunities within accounts by understanding their needs, budget, and decision-making processes to ensure alignment with our solutions Proactively build knowledge of the product, new feature releases, changes in market trends and competitors landscape to improve engagement Partner with sales teams, including other ISRs, Senior Sales Executives, and Marketing, to refine and perfect account-specific messaging, aligning with business workflows needs and solution selling Your Qualifications: Fluency in English (and German) 1-2+ years of successful sales experience (Tech/SaaS Preferred) You bring grit, curiosity, coachability, strong communication, and a proactive, growth‑oriented mindset that drives consistent performance and continuous improvement. Standout Qualities: Experience handling the full sales cycle from qualification to close Experience handling customer relationships and using those relationships to expand business Experience with solution selling Outbound sales calling experience Experiencing filtering through a large number of inbound leads/trials, and promptly following up on those leads Ability to conduct end-user demonstrations over video conferencing/zoom Benefits & Perks: 5 Weeks of paid vacation Sick Leave Compensation 5 Paid Uncertified Sick Days 2 weeks fully paid w/ medical certificate, additional 4 weeks paid at 80% salary rate Parental Leave (fully paid): 18 Weeks Maternity / 4 Week Paternity 2 Volunteer Days Meal Vouchers (CZK 220 per working day) Annual Prague Travel Card (Lítačka) Hybrid Working Model Benefit budget with flexible options, including a MultiSport card, Canadian Medical membership, contributions to a pension savings plan and additional choices available through Benefit Plus Your recruitment buddy will be Arjola Stejskal , Talent Acquisition Specialist #LI-AS1 Who Is Wrike and Our Culture We’re a team of innovators and creators who solve the complex work problems of today and tomorrow. Hybrid work mode Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations. While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection. Our persona 💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched. 💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too! 🤗  Approachable: We're friendly, easy to get along with, considerate, and helpful. Our culture and Values 🤩 Customer-Focused We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind. 🤝 Collaborative We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement. 🎨 Creative We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions. 💪 Committed We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth. Check out our LinkedIn Life Page , Company culture page , Instagram , Wrike Engineering Team , Medium , Meetup.com , Youtube for a feel for what life is like at Wrike.

Location: London, United Kingdom Workplace: hybrid At FutureLearn, we’re passionate about the power of lifelong learning. We help learners from all over the world progress in their careers and invest in their futures. We truly believe that up-skilling is a worthy investment, and we hope to empower our learners to take control of their careers through personalised learning pathways – giving them progress at their fingertips. Partnering with 260+ world-class educational partners, including prestigious universities, global brands and industry partners, we offer our 20 million-strong learner community the opportunity to discover and access flexible, high-quality online courses and degrees. We’re not here just to teach new skills (although we do that well), we want to help transform lives. FutureLearn is looking to build our teams with people who share our passion for lifelong learning, career empowerment and education for all. If that sounds like you, get in touch. You could help us achieve our biggest goal yet – becoming the world’s best AI-powered, career-based learning platform and OPM. What is the opportunity? We are seeking a knowledgeable and forward thinking Associate Lecturer in Computing to join our Higher Education Services team. This role focuses on delivering high quality teaching and learning across designated programmes, with particular expertise in Cyber Security and/or Artificial Intelligence. The successful candidate will design and deliver engaging learning materials, facilitate dynamic online learning experiences, support student success, and contribute to academic quality and innovation. There may also be opportunities to contribute as a Subject Matter Expert in developing and reviewing module content. What does success look like: Teaching and Learning Delivery Design, prepare, and deliver high-quality teaching materials across assigned computing programmes. Ensure all content, delivery methods, and learning resources align with programme and module objectives. Apply effective teaching, learning, and assessment strategies in line with institutional standards. Demonstrate strong digital capability and deliver engaging online learning experiences. Assessment and Feedback Set, mark, and provide constructive, timely feedback on assessments in accordance with institutional and partner policies. Supervise student projects and dissertations, providing academic and research guidance in Cyber Security and/or AI. Monitor student progress using learner analytics and implement timely interventions to support achievement. Learner Support and Engagement Identify and respond to individual learner needs, referring students to appropriate support services when necessary. Promote an inclusive, engaging, and supportive online learning environment. Quality Assurance and Academic Standards Contribute to internal quality assurance and enhancement activities. Participate in the planning and review of modules to ensure alignment with institutional frameworks and academic standards. Maintain accurate records of teaching delivery, student engagement, and academic outcomes. Professional Participation Attend and actively contribute to relevant meetings, workshops, and training sessions. Complete all mandatory institutional training within the first three months of appointment. Subject Matter Expert Responsibilities (where applicable) Develop new module content in Cyber Security and/or AI in line with academic and institutional standards. Review and update existing module materials as required. What you bring to the table: A PhD, Master’s degree, or substantial industry experience in a relevant computing discipline. Experience teaching and learning within the UK Higher Education sector. Proven subject-specific teaching experience in Cyber Security and/or Artificial Intelligence. Eligibility for Fellowship of AdvanceHE (or willingness to obtain). Strong teamwork, communication, and digital teaching skills. A clear commitment to student success and engagement. Desirable Experience delivering online teaching and learning. Experience supervising research projects or dissertations in computing-related fields. Relevant industry or professional experience in Cyber Security and/or AI. What happens next? Ready to go for it? Click 'Apply', include your CV and tell us why you'd like to become a FutureLearner, and how you’ll nail this role. Recruitment Process Please contact jobs@futurelearn.com if you require any reasonable adjustments or alterations to be made to support you through the recruitment process. Diversity Statement We value all the great benefits that diversity brings and encourage everyone to bring their whole self to work – At FutureLearn we are proud to have Diversity and Inclusion at the centre of everything we do. We are committed to Equal Employment Opportunity regardless of race, colour, national origin, ethnicity, gender, age, disability, sexual orientation, gender identity or religion. We can't wait to meet you! #FutureLearnCareers

Location: Remote - European Region Workplace: hybrid Coinspaid Solutions is a fintech company building blockchain payment infrastructure for the global economy. We design, implement, and scale payment systems that connect digital assets with real-world financial operations. Our solutions help businesses and financial institutions operate efficiently in the evolving digital asset landscape. For over 11 years, we’ve been developing products that bring crypto payments closer to mainstream adoption. Today, our team includes 350+ professionals working remotely across multiple countries. We combine the pace of fintech with a long-term approach to building products, teams, and careers. As a remote-first company, we give people flexibility in how they work while maintaining strong collaboration and shared ownership across teams. 🏆 In 2026, Coinspaid was recognized as Best Corporate Culture in the Blockchain Industry in Europe, reflecting our focus on ownership, trust, and collaboration. Responsibilities: Gather, validate and document business requirements​ Analyze current systems and identify areas for improvement Identify issues, risks and benefits of existing and proposed solutions and outline business impacts Create functional specifications for solutions​ and internal technical documentation Design APIs and interaction scenarios Help to define business problems via in-depth investigation and gather technical and non-technical information Outline detailed requirements for a solution and ensure the delivered solution meets those business requirements Improve and validate existing methods for generating product and project documentation Define tasks to developers and testers Requirements: 3+ years of BA/SA experience Mathematical, analytical, creative and problem-solving skills Proficiency in verbal and nonverbal communication and interpersonal skills Effective logical thinking skills Prioritisation, high focus, and self-motivation Explain ideas in simple and user-friendly language Good understanding of SDLC, PDLC Experience in using business analysis tools, knowledge of process modelling notations and visualizing the architecture, such as: BPMN, UML, C4, etс Strong knowledge of integration patterns and formats Experience in creating data models Certifications (preferred) Good level of spoken and written English and Russian Why should you choose Coinspaid? You’ll be joining a company that is actively shaping its space – with enough scale to matter and enough room to make an impact. At Coinspaid, people are expected to think, contribute, and take ownership – and are supported in doing so. We focus on flexibility, wellbeing, and long-term growth – without overcomplicating how benefits work. Flexible Benefits Benefit Bar – up to €230/monthA flexible monthly budget you can use for what matters most to you – from sports and mental health to coworking, home office, or medical-related expenses. Work & Flexibility Fully remote work from almost anywhere Optional offices and relocation support Flexible, async-friendly environment Growth & Learning Budget for courses, certifications, and professional development Language learning support Cross-team learning and knowledge sharing Wellbeing & Support Medical insurance or reimbursement depending on location Access to mental health support Financial support for important life events Extras Merch shop with rewards system Team offsites and company events   Sounds good? Well then, we can’t wait to see your resume! To learn more please visit: https://coinspaid.com/about-us/ & https://coinspaid.com/careers/

Location: Auckland Workplace: OnSite ABOUT HALTER At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard. We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund https://foundersfund.com, Bessemer Venture Partners https://www.bvp.com/, BOND, https://www.bondcap.com/ DCVC https://www.dcvc.com/, Blackbird https://www.blackbird.vc/, Promus Ventures https://www.promusventures.com/, Rocket Lab’s Peter Beck and Icehouse ventures https://www.icehouseventures.co.nz/?utm_term=icehouse%20ventures&utm_campaign=Brand+Keywords&utm_source=adwords&utm_medium=ppc&hsa_acc=4064636360&hsa_cam=16902737884&hsa_grp=134004309485&hsa_ad=592971340272&hsa_src=g&hsa_tgt=kwd-1082530126230&hsa_kw=icehouse%20ventures&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=Cj0KCQjw2v-gBhC1ARIsAOQdKY0J0DepRVFDmjQlAkJPbZuQnLSA5UVzUzOXYiPxkjX-SeVa513_BhkaAr-MEALw_wcB. To find out more, visit our LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. ABOUT THE ROLE We’re looking for an epic Senior or Lead Mobile Engineer with deep expertise in iOS native development and a product mindset. We’re looking for someone to help bring native performance and UX to our existing ReactNative app. You should be hands-on and collaborative, refining our ability to deliver a top-tier native mobile experience as we grow. We care about how you think and act: curious, thoughtful, practical, and someone who takes absolute ownership. You’ll partner with an experienced Android engineer, bringing strong opinions on what a modern iOS app architecture looks like. You should have experience working in existing codebases and ideally across platforms; our mobile codebase is split across ReactNative, Kotlin, and Swift, and you’ll be spending a lot of time in each. Experience in building offline-first functionality is a strong plus. As a leader within our team, you will help set technical direction, provide product input, and improve the developer experience across the board. WHAT YOU'LL DO - Lead the architecture and implementation of core features for the Halter app, with a focus on deep native integration and components. - Collaborate closely with our React front-end engineers, guiding the domain to ensure seamless and performant interop. - Bring a strong product lens, working with Design and Product to make smart trade-offs and ship high-impact mobile features fast. - Use AI tools (e.g. Claude, Cursor) to boost quality and speed without sacrificing readability or tests. - Drive mobile app performance from every angle, focusing on metrics and optimisations to deliver a quick user experience and have minimal impact on battery life. - Build resilient flows and graceful error handling for real-world field conditions, with a focus on supporting offline-first functionality. - Evolve and build out our mobile design system and UI patterns. - Raise the bar through reviews, pairing, mentoring, and upskilling our existing React engineers. YOU'LL THRIVE IN THIS ROLE IF YOU - Are deep in iOS native development and have strong opinions on mobile architecture, and systems to deliver an optimal native experience. - Experience, and scars, with App Store releases at scale, design systems, and mentoring mobile engineers. - Experience with React Native, understand how this maps to the iOS platform. - Demonstrate an obsession with performance optimisation and improving DX for mobile engineers. - Have shipped complex, high-performance native iOS applications in cross-functional teams. - Thrive in fast-moving, ambiguous environments. - Understand performance deeply, accessibility, testing, and maintainability. - A degree is a bonus, not a requirement. OUR BENEFITS - Importantly, we offer an inclusive and attractive remuneration package made up of salary, benefits and an employee stock ownership plan. - Healthy body, healthy mind. We’re partnered with Southern Cross Health Insurance to support your well-being. - Our personal growth is important. Halter offers an annual $1000 self-development budget to be used for anything that fuels personal growth. - We offer 6 months of fully paid parental leave for primary caregivers, 4 weeks of fully paid secondary caregiver leave and many other parental benefits that support you and your family. - Our time to recharge is valued, we’re offered wellness leave and unlimited paid annual leave. OUR OFFICE FIRST APPROACH There’s a reason you visit your friends in person, live with your family and don’t do dinners over Zoom. Humans are wired for connection. We believe a world-class, in-person office culture is the best way for high-performing teams. Being office first is a core pillar of our culture. We believe in-person connections are key to driving your own growth, learning, impact, and building genuine long-lasting relationships. Strong relationships make it easier to disagree, give feedback, and do meaningful and aligned work. We don’t like having heaps of rules or policies, but this means having strong, trusted relationships is critical. We’re office first, not office only. This means working from the office everyday is our default setting, but we flex when we need to. We have a high-trust culture, so everyone is trusted to do what’s best for Halter. Our office vibe is something special, it’s hard to describe until you’re here, but people at Halter who have come from fully remote or hybrid companies say they could never go back - the high energy and spectacular people they are now surrounded by everyday makes work so enjoyable. Your growth, your learning and your impact is truly unlimited here, and a big part of that comes from being together solving problems, innovating, building context, and constantly learning from each other. JOIN OUR TEAM Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement. If you think you have what it takes but don’t necessarily tick every requirement on this job description, please still get in touch and apply to Halter. We’d love to chat to see if you’ll be an epic fit! If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch! Please also feel free to check out the careers page https://www.halterhq.com/careers for more information on working at Halter and don't forget to follow us on LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. WHY OUR TEAM LOVES WORKING AT HALTER: - Work that genuinely matters. Every now and again a company comes along that transforms an entire industry and leaves the world in a better place. Our team gets to be part of something truly meaningful, helping farmers improve their livelihoods, spend more time with their families, and build more sustainable operations. - Spectacular people solving hard problems. Our culture is designed for talented people to do work that changes lives. The team is filled with diverse, kind, and driven people who push each other to do their best work. You'll be thrown into the deep end, tackling complex challenges and building something tangible that solves real problems. - You'll grow here. Autonomy, mastery, and learning define how we work. You'll have the freedom to work on interesting problems, master new skills, and continuously develop yourself, both through your role and our personal growth fund. - This isn't easy, and we love that it's hard. Working at Halter will be the most rewarding and the most challenging work of your life. We move fast, take bold bets, and work hard to reshape an entire industry. As one team member put it: "Joining Halter is a bit like strapping yourself to a rocket ship, but it's an epic journey to be a part of!"