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Location: United Kingdom Workplace: Remote ABOUT THE ROLE We are seeking an experienced Solutions Engineer to join our growing team at Cyberhaven. In this role, you will drive go-to-market efforts by leading prospect engagements, including demos and proofs of concept. WHAT YOU’LL DO - Support the Enterprise Sales teams with opportunities in a pre-sales capacity from qualification through production hand-off. Generally, these accounts have more than 2,500 employees. - Learn, create, and deliver compelling messaging and demonstrations of products and solutions that differentiate from competitors or legacy solutions. - Guide technical evaluations via POC ownership and manage the evaluation process to a successful conclusion. - Maintain key partner technical relationships and effectively enable and demonstrate channel partners to excel in a channel-driven sales model. - Collaborate with Product Management and Engineering teams on new feature releases and provide feedback on current feature capabilities based on field experience/input. WHO YOU ARE - 7+ years experience as a Sales Engineer (or similar), i.e. complex pre-sales and/or deployment of complex enterprise solutions, especially in a SaaS sales environment - 4+ years experience with data protection and AI security solutions (DLP, IRM, DSPM, CASB, AI-Security) - Proven ability to demo and run POCs across multiple products within a single platform, tying them together to solve complex, cross-functional business problems - Current knowledge of Agentic AI architecture (e.g., agents, tool use, MCP, autonomous workflows) and how to secure it - 4+ years experience with a cross-platform endpoint agent solution (Windows, Mac, and/or Linux) - Ability to travel to cover events and conferences - Strong sales presence and superior communication skills - Proven ability to multitask and prioritize under pressure - Ability to problem-solve, both independently and as part of a team - Located in the UK region Joining Cyberhaven means joining the team building Data Security for the Agentic Enterprise. Traditional tools fall short. Cyberhaven traces the full lifecycle of your data, adapting protection to changing context, so protection moves with the way people actually work, not against it. AI Changed Work. We Protect It. Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, working alongside people driven to protect workflows, not just data, for customers who cannot afford to slow down to stay safe. AI Tools Disclosure: As part of Cyberhaven's hiring process, we use recruiting tools that include AI-powered features to help with tasks like scheduling, note-taking, workflow automation, and other recruiting activities ("AI Tools"). The AI Tools may process information you provide during the application and interview process. When AI-assisted interview note taking is used, candidates are notified in advance and have the option to opt out of the AI-assisted interview note taking. Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Location: Ukraine; Spain; Slovakia; Serbia; Yerevan; Slovenia; Poland Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDE and an FDX,  Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs. Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution. Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails.  You'll have real ownership of components and of the technical decisions inside them. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket Excellent communication and problem-solving skills Comfort with ambiguity and ownership. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth 5+ years in software or ML engineering, with production systems you were accountable for. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes. Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks. Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production. Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive. Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus. Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release. Model and agent monitoring, drift detection. Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs. Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus. MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications A2A: you can explain agent-to-agent interoperability CI/CD pipeline experience (GitHub Actions, GitLab CI) Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа Responsibilities: Work in a pair with an FDE and an FDX. Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Build and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Integrate AI components into backend services and RESTful APIs Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints Participate in technical discussions and architectural decisions Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops. What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Technical Project Manager San Mateo, CA Role Overview Sony Interactive Entertainment LLC seeks a Senior Technical Project Manager in San Mateo, CA to lead the planning and delivery of advanced SDK components for PlayStation platforms, including graphics, audio/video processing, and compiler technologies. Requirements Master’s degree in Engineering Management, Software Engineering or related field or equivalent and two (2) years of experience coordinating with product and cross functional teams to evaluate story points, hold Scrums, perform capacity planning, sprint reviews, and retrospectives; planning sprint releases; running sync up meetings; reporting to stakeholders with trends, insights and forecasts regarding capacity planning, release timelines and project performance through data analysis; preparing and maintaining project artifacts including stand-up notes, project plans, sprint retrospectives, project release calendars, and release checklists; identifying risks including resource unavailability, scope creep, deviating from the critical path, and communicating timely to stakeholders; documenting project discussions and release checklists; facilitating product backlog grooming through categorization and prioritization of features by partnering with product owners and engineering managers; tracking project risks and performance through sprint planning and sprint retrospectives; and documenting processes and maintaining project artifacts including traceability matrixes, technical specification documents and regression test suites. Telecommuting and/or working from home may be permissible pursuant to company policies. Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $233,459.00 – $287,200.00/year Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Remote - USA Workplace: Remote Growth GTM Engineering sits at the intersection of marketing strategy, revenue generation, data, and automation, turning market intelligence and buyer insight into repeatable growth opportunities for Chainalysis. Chainalysis is seeking a Growth GTM Engineer to build and scale the workflows, systems, and outbound strategies that help our Sales teams engage the right customers at the right time. This is not a traditional demand generation or marketing operations role. Growth GTM Engineers are hands on builders who own the full lifecycle of a growth play, from identifying an opportunity and developing a hypothesis through workflow creation, experimentation, and measurable commercial impact. The role combines growth marketing, account based strategy, data enrichment, AI, and sales enablement. You will work directly with Sales to identify promising markets, uncover buying signals, map buying committees, and turn these insights into targeted outbound plays. Using Clay, AI, and connected data workflows, you will give sellers the context and tools they need to engage prospects more effectively. Success requires strong marketing judgement, technical curiosity, hands on workflow building experience, and the ability to connect automation to real commercial outcomes. In this role, you’ll: • Identify promising market segments, buying situations, and account level triggers in partnership with Sales. • Develop targeted outbound plays, defining the audience, buyer problem, messaging, offer, seller action, and success criteria. • Build, own, and optimise Clay tables and research workflows, connecting enrichment, signal detection, account research, and contact discovery. • Use AI to interpret market signals, classify accounts, and generate relevant research and messaging inputs. • Map key accounts and buying committees, providing sellers with clear, evidence based insights and recommended actions. • Work directly with Sales teams to test outbound plays, gather feedback, measure performance, and determine what to scale or refine. • Establish quality controls and source references to ensure research and AI generated outputs are accurate and trustworthy. • Turn successful experiments into reusable workflows, signals, audience logic, and play templates. • Connect outbound strategies with ABM, paid media, and lifecycle marketing initiatives. • Partner with RevOps on CRM integrations, sales tooling, tracking, and workflow governance. We’re looking for candidates who have: • Experience building B2B outbound, growth marketing, demand generation, or account based marketing programmes. • Strong marketing judgement across segmentation, buyer problems, positioning, and messaging. • Hands on experience with Clay or similar data enrichment and workflow automation platforms. • Practical experience using AI for research, classification, personalisation, and decision support. • A track record of working directly with Sales teams to turn growth ideas into executed outbound plays. • Experience identifying buying signals, researching accounts, and mapping buying committees. • The ability to distinguish verified evidence from assumptions and evaluate results critically. • A commercially minded approach, connecting growth activity to meetings, opportunities, and pipeline. Required Skills: Growth Marketing and GTM Strategy • Understanding of B2B go to market strategies, outbound motions, demand generation, and ABM. • Ability to identify high value segments and translate buyer insight into targeted growth plays. • Experience developing messaging and value propositions for specific audiences. Technical and Automation Skills • Hands on experience with Clay or comparable enrichment and automation platforms. • Experience connecting data sources, research workflows, and automation tools. • Practical use of AI for research, personalisation, and interpreting information. • Ability to structure data, troubleshoot workflows, and maintain data quality. Sales Partnership and Execution • Proven ability to work closely with Sales teams to develop and execute outbound strategies. • Ability to translate account insights into clear seller context and actionable recommendations. • Experience gathering feedback, improving adoption, and measuring commercial impact. Day to Day Activities • Identify growth opportunities through market research, buyer signals, and Sales feedback. • Build and maintain Clay tables for account enrichment, contact discovery, research, and prioritisation. • Develop AI powered workflows that generate accurate account insights and seller context. • Create and launch targeted outbound plays with Sales teams. • Analyse performance across engagement, meetings, opportunities, and pipeline. • Refine, scale, or retire workflows based on results and seller feedback. • Develop reusable research components, signals, and play templates. • Work with RevOps on Salesforce integrations, tracking, and governance. • Document workflows and best practices to support adoption across teams and markets. Personal Attributes • Builder mentality, enjoys getting hands on with tools, data, workflows, and automation. • Commercially minded, focused on generating meaningful sales conversations, opportunities, and pipeline. • Naturally curious about buyer behaviour, market dynamics, and emerging technologies. • Analytical and evidence driven, with strong attention to research quality and accuracy. • Experimentation focused, comfortable testing ideas and learning from results. • Collaborative and confident working directly with Sales and cross functional teams. • Self starter who takes ownership and thrives in a fast paced environment. • Excited by the potential of AI, automation, and connected data to transform go to market strategies. Nice to have experience: • Experience with Salesforce, Marketo, Demandbase, Goldcast, or Qualified. • Familiarity with sales engagement platforms and outbound sequencing tools. • Experience with APIs, webhooks, SQL, or data integrations. • Experience connecting outbound, ABM, paid media, and lifecycle marketing programmes. • Familiarity with data governance and research quality controls. AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Location: Dublin, Ireland 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 Notion is reimagining how customers adopt, expand, and realize value from software in an AI-native world. As an Outcomes Architect, you’ll be the build-beside partner who helps customers turn AI ambition into working systems inside Notion. You’ll own workflow adoption, value delivery, and renewal outcomes for a book of named accounts, with a focus on customers that are flat, at-risk, or need a stronger path to measurable impact. You’ll partner closely with Solutions Consultants on account strategy, expansion qualification, and planning, while directly shaping outcomes that strengthen customer partnerships and contribute to predictable revenue. If you’re someone who loves helping customers build workflows that solve real business problems—and you want to work at the intersection of AI, productivity, customer value, and revenue impact—this is the role. WHAT YOU'LL ACHIEVE: - Drive workflow adoption and value realization for a book of named accounts ensuring your customers know how to deliver outcomes with Notion - Contribute directly to NRR with predictable renewal and expansion pipeline and proactive product adoption for your book of business - Partner closely with Solutions Consultants on strategy for expansion and renewal for shared accounts, including owning the commercial opportunity for flat and at-risk renewals - Define and maintain mutual success plans that proactively guide customers through their AI Transformation and demonstrate ROI to executive-level stakeholders with periodic business reviews - Facilitate use-case consultations that guide customers through their continuous Solutions Design and identify new workflow opportunities that drive outcomes and increase value with Notion - Identify opportunities to engage Services for customers with complex or technical implementation needs and partner closely with the Services team throughout delivery to ensure successful outcomes and value delivered - Learn Notion’s product and the broader AI ecosystem inside and out so you can be best suited help customers navigate new ways of working and build durable systems in Notion as the underlying system - Help build and deliver OA programs that generate customer and business outcomes across Notion’s install base. - Set the bar for product and AI fluency across the team and ensure your team masters Notion’s product and maintains an expert-level knowledge of the AI ecosystem. SKILLS YOU'LL NEED TO BRING: - Experience driving customer adoption, value realization, renewals, or expansion within a B2B software environment - Strong customer-facing discovery instincts, with the ability to understand business problems, map workflows, and translate goals into practical implementation plans - Technical fluency and presence as a trusted advisor—while you won't be building for your customers, you should be capable of co-design, configuring, and troubleshooting Notion workspaces and workflows - Commercial awareness and the ability to partner with account owners on renewal risk, expansion potential, and account strategy - Ability to design and help customers build workflows that drive usage based consumption, connecting adoption patterns to measurable commercial outcomes - Strong program and stakeholder management skills, with the ability to manage success plans, timelines, risks, and customer commitments across a book of accounts - You operate with agency, urgency, and customer empathy, bringing structure to ambiguous problems and helping teams move from ideas to working systems - You’re obsessed with AI, constantly building with the newest tools and learning new ways of working NICE TO HAVES: - Prior experience in customer success, solutions consulting, implementation, technical account management, or post-sales strategy for productivity, collaboration, or workflow software - Experience working with flat, at-risk, or complex renewal accounts and helping customers return to a clear value path - Experience partnering in a shared account ownership model with sales, solutions, support, or implementation teams - Experience designing repeatable customer programs, playbooks, or interventions that improve retention, expansion, and adoption at scale 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. The estimated range for total on target earnings (including base salary and on target incentive pay) for this role is €115,000-€128,000 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. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: North Macedonia; Bosnia and Herzegovina; Czechia; Croatia; Moldova; Bulgaria; Montenegro Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDE and an FDX,  Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs. Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution. Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails.  You'll have real ownership of components and of the technical decisions inside them. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket Excellent communication and problem-solving skills Comfort with ambiguity and ownership. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth 5+ years in software or ML engineering, with production systems you were accountable for. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes. Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks. Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production. Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive. Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus. Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release. Model and agent monitoring, drift detection. Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs. Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus. MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications A2A: you can explain agent-to-agent interoperability CI/CD pipeline experience (GitHub Actions, GitLab CI) Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа Responsibilities: Work in a pair with an FDE and an FDX. Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Build and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Integrate AI components into backend services and RESTful APIs Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints Participate in technical discussions and architectural decisions Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops. What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Location: Ukraine; Serbia; Yerevan; Spain; Slovakia; Slovenia; Poland Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDX; our delivery arc is Sprint → Enable → Realize: Forward Deployed Executive (FDX) owns the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs — revenue growth, cost reduction, risk reduction. Forward Deployed Engineer (FDE) embeds with a client to change how that client operates. You own the method; nobody hands you a ticket. You map the client workflow as it actually happens, identify the business problem underneath it, build a working AI solution, present to the client in the language of outcomes, and transfer it. Provectus maintains industry Blueprints — working systems that have already shipped for a client in the same industry — so you begin from running code and tuning it to this client's specific book, regulators, and operating posture. You will be measured on whether the Business Unit's number moved, not on hours or scope delivered. What You’ll Do: Take the seat Sit with the client and the Forward Deployed Executive at the start of an engagement. Learn the function from inside, not from a requirements doc, and redesign the function from first principles. Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow. Build Design and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Implement and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Define what working means, instrument it, and let the evals drive the design. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD, automated testing, monitoring, and maintainable after we leave. Hand the system over to the client. Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from. Lead architecture reviews, produce technical design documents, and contribute to standards. Mentor engineers and share knowledge across the team. Own the outcome. Work in a pair with a FDX who carries the Business Unit’s KPIs. Your work is measured against the same number. Own the technical direction of technical proposals and scoping. Drive adoption. Change management is part of the engineering job here. Be credible with the customer’s engineers and their executives. Shape what we commit to before we commit to it. What You’ll Bring: Mindset Proactive and self-directed; identify problems before they're handed to you Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job B2+ English, comfortable collaborating across distributed, multicultural teams Client Engagement You are willing to spend time understanding and doing someone else’s job on the client's side before you write a line of code Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO, presenting outcomes to them You can produce a scoped, phased delivery plan with clear deliverables, dependencies, and risks — and estimate what it will cost to build and to run Technical depth 7+ years building and running production systems. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes Designed and shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Experience in making and defending architectural trade-off decisions Hands-on AWS production depth: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release Model and agent monitoring, drift detection Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus Nice to have: Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution Experience in one of the industries: financial services, insurance, healthcare Consulting, professional services, or other embedded customer-facing delivery A2A: you can explain agent-to-agent interoperability AWS and Claude Code Certifications CI/CD pipeline experience (GitHub Actions, GitLab CI) Experience in an additional language (Go, TypeScript, or Rust) Experience with Apache Spark, Apache Airflow, Kafkа What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Location: North Macedonia; Montenegro; Moldova; Bulgaria; Czechia; Bosnia and Herzegovina; Croatia Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner , working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDX; our delivery arc is Sprint → Enable → Realize: Forward Deployed Executive (FDX) owns the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs — revenue growth, cost reduction, risk reduction. Forward Deployed Engineer (FDE) embeds with a client to change how that client operates. You own the method; nobody hands you a ticket. You map the client workflow as it actually happens, identify the business problem underneath it, build a working AI solution, present to the client in the language of outcomes, and transfer it. Provectus maintains industry Blueprints — working systems that have already shipped for a client in the same industry — so you begin from running code and tuning it to this client's specific book, regulators, and operating posture. You will be measured on whether the Business Unit's number moved, not on hours or scope delivered. What You’ll Do: Take the seat Sit with the client and the Forward Deployed Executive at the start of an engagement. Learn the function from inside, not from a requirements doc, and redesign the function from first principles. Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow. Build Design and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Implement and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Define what working means, instrument it, and let the evals drive the design. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD, automated testing, monitoring, and maintainable after we leave. Hand the system over to the client. Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from. Lead architecture reviews, produce technical design documents, and contribute to standards. Mentor engineers and share knowledge across the team. Own the outcome. Work in a pair with a FDX who carries the Business Unit’s KPIs. Your work is measured against the same number. Own the technical direction of technical proposals and scoping. Drive adoption. Change management is part of the engineering job here. Be credible with the customer’s engineers and their executives. Shape what we commit to before we commit to it. What You’ll Bring: Mindset Proactive and self-directed; identify problems before they're handed to you Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job B2+ English, comfortable collaborating across distributed, multicultural teams Client Engagement You are willing to spend time understanding and doing someone else’s job on the client's side before you write a line of code Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO, presenting outcomes to them You can produce a scoped, phased delivery plan with clear deliverables, dependencies, and risks — and estimate what it will cost to build and to run Technical depth 7+ years building and running production systems. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes Designed and shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Experience in making and defending architectural trade-off decisions Hands-on AWS production depth: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release Model and agent monitoring, drift detection Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus Nice to have: Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution Experience in one of the industries: financial services, insurance, healthcare Consulting, professional services, or other embedded customer-facing delivery A2A: you can explain agent-to-agent interoperability AWS and Claude Code Certifications CI/CD pipeline experience (GitHub Actions, GitLab CI) Experience in an additional language (Go, TypeScript, or Rust) Experience with Apache Spark, Apache Airflow, Kafkа What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Location: US - Headquarters - Maryland - Columbia Who is Tenable? Tenable® is the Exposure Management company. Over 40,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 50 percent of the Global 2000, and large government agencies. Come be part of our journey! What makes Tenable such a great place to work? Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together! Your Role: As an AI Security Engineer on Tenable's Information Security team, you will help shape and mature our approach to securing AI both within Tenable's products and across the enterprise. AI introduces a new class of risk at the intersection of application security, cloud risk, and data governance, and you will be on the front lines of defining how we assess, test, and address it. You will apply hands-on AI engineering experience alongside product security and application security skills to design security controls for AI systems, lead assessments, and help engineering teams ship AI features securely. You will establish security standards for responsible AI use, influence decisions across the organization, and build tooling that raises our security posture. This role is ideal for a practitioner who has spent time building or tinkering with AI systems, looking under the hood of model internals, and wants to channel that experience into a security specialty. Your Opportunity: Design, implement, and maintain end-to-end security controls across the AI/ML lifecycle. Assist in the implementation of robust security guardrails, controls, and boundary mechanisms for Large Language Models (LLMs), Small Language Models (SLMs), and open-source models. Continuously monitor the AI landscape for novel vulnerabilities and attack techniques, applying deep engineering experience to proactively defend enterprise AI deployments. Assist in developing security reference architectures for AI deployment patterns, including MCP servers and agentic AI workflows and harnesses. Deploy controls to ensure model integrity, governance, and proper access control across models and feature stores. Build AI-driven tooling to strengthen cybersecurity posture across identity, incident management, vulnerability management, third-party risk, and emerging AI threat vectors. Perform AI safety, security assessments, threat modeling for AI/ML systems, identifying risks such as data poisoning, model evasion, model extraction, adversarial inputs, and integrity attacks. Collaborate with software engineers, and product teams to integrate security best practices into AI development, training, validation, and deployment processes. Create security guidance, documentation, and training for internal engineering and development teams; develop metrics that drive desired security behaviors and outcomes. Assist in researching emerging trends in AI security and contribute to innovative solutions that support Tenable's AI initiatives. What You'll Need: 2 or more years of professional experience in information security or application security, with at least a demonstrated interest on securing AI/ML systems. Bachelor’s Degree in Computer Science, Cybersecurity, Data Science, or a related field preferred. Awareness of AI-specific security threats, including adversarial ML, data poisoning, prompt injection, model inversion, model evasion, and inference attacks. Knowledge of data security principles, including encryption, masking, and tokenization. Knowledge of SSDLC, DevSecOps, and security testing practices, including SAST, DAST, SCA, and threat modeling. Knowledge of application security architecture best practices and patterns, including modern web applications, Docker, and microservices. Ability to work cross-functionally across engineering, product, and business teams. Strong written and verbal communication skills; able to clearly translate complex AI security risks for both technical and non-technical audiences. Strong problem-solving skills, attention to detail, and ability to lead projects with end-to-end ownership. Self-motivated and effective working independently and across distributed teams. And Ideally: Hands-on experience with AI red teaming, adversarial prompt testing, or LLM security assessments. Basic coding experience in Python and/or Go. Experience with frameworks & libraries such as PyTorch, Hugging Face Transformers, TensorFlow or similar. Strong understanding of the ML/AI lifecycle and the security risks associated with each stage. Experience with application security assessment tools (Burp Suite, ZAP, Tenable WAS, etc.) Knowledge of cloud security platforms: AWS, Azure, or GCP including AI/ML-related services. Security certifications: CISSP, CSSLP, SANS GIAC, CEH, or AI-focused security certifications are a plus, but not necessary. #LI-Hybrid #LI-MS1 This is the base pay range for this position. Compensation for the role will depend on a number of factors, including the candidate's qualifications, skills, competencies, location and experience, and may fall outside of the range shown. Employees are also eligible for variable compensation in addition to base pay (commission for sales roles, bonus for non-sales roles), depending on company and individual performance. Tenable also offers a variety of comprehensive and competitive benefits which include: medical, dental, vision, disability and life insurance; 401(k) retirement savings with company match; an employee stock purchase plan; an employee referral program; flexible spending accounts; an Employee Assistance Program (EAP); education assistance; parental leave; paid time off (PTO); company-paid holidays; health and wellness events; and community programs. US Pay Range $102,500 — $136,500 USD We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels.  If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact Recruiting@Tenable.com for further assistance. Tenable Data Consent Statement Tenable is committed to protecting the privacy and security of your personal data. Depending on your location, one or more of the following notices may apply to you: General Applicant Privacy Notice California Applicant Privacy Notice EU/EEA/UK Applicant Privacy Notice

Location: Alpharetta, GA Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations.  Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions.  Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment.  Join us and become a part of a company that is shaping the future of technology.  At LG, we strive to make Life Good for Everyone. Chiller Application Engineer The Opportunity LG Electronics is seeking a Chiller Application Engineer to support the selection, application, and technical sales of LG chillers and heat pumps across the U.S. market. This role serves as a technical expert for customers, consultants, representatives, and internal teams, ensuring equipment selections, system designs, and project applications align with customer requirements and LG product capabilities. Working closely with Sales, Product Management, Factory Engineering, Building Automation, and Service teams, the Chiller Application Engineer will support project execution, product line activities, technical documentation, and customer-facing engineering support. Why Join Our Team Join a growing chiller business and play a key role in bringing innovative cooling and heating solutions to customers across North America. You'll work on complex HVAC projects, collaborate with global engineering teams, and help shape the future of LG's commercial chiller and heat pump offerings. What You'll Do Provide application engineering support for LG chillers and heat pumps, including equipment selection, sizing, and performance analysis. Evaluate project requirements including loads, operating conditions, flow rates, pressure drop, sound requirements, electrical characteristics, and system configurations. Develop competitive equipment selections using approved LG software and engineering tools. Review chilled water, condenser water, heat pump, and hydronic system designs to ensure compatibility with LG equipment requirements. Support consulting engineers, contractors, owners, and sales teams with technical recommendations and application guidance. Interpret plans, specifications, codes, and project requirements to prepare submittals, technical responses, compliance matrices, and equipment schedules. Support building automation integration, including equipment controls, sequencing, BACnet/Modbus communications, and plant operation strategies. Collaborate with factory engineering, product management, and sales teams to address project-specific requirements and support product improvements. Capture customer feedback and market requirements to support product development and future product enhancements. Review and maintain technical documentation including engineering manuals, installation guides, application guides, catalogs, and product literature. Support product line activities including new product introductions, engineering changes, feature enhancements, and product lifecycle management. Develop and deliver technical training, presentations, webinars, and application guidance for customers, sales teams, representatives, and industry partners. Provide technical support during project handoff, installation, commissioning, and performance investigations. Analyze field issues and collaborate with service and factory engineering teams to identify root causes and drive resolution. Travel as needed to support customer meetings, jobsite reviews, training, and product-related activities. Job Requirements Bachelor's degree in Mechanical Engineering or a related engineering discipline. 3+ years of commercial HVAC experience in application engineering, consulting engineering, technical sales support, or chiller system engineering. Knowledge of refrigeration systems, heat transfer, hydronics, pumps, controls, and variable-speed HVAC equipment. Ability to interpret plans, specifications, piping diagrams, sequences of operation, and applicable HVAC codes and standards. Experience performing engineering calculations and applying technical concepts to commercial HVAC systems. Proficiency with Microsoft Excel, Word, PowerPoint, Adobe Acrobat, equipment selection software, and engineering documentation tools. Strong technical writing, presentation, problem-solving, and project management skills. Ability to manage multiple projects and collaborate effectively across cross-functional teams. Willingness to travel domestically and occasionally internationally. Preferred Qualifications Experience with air-cooled and water-cooled chillers, air-to-water heat pumps, centrifugal chillers, or inverter-driven compressor technologies. Experience with chiller plant design, sequencing, building automation systems, energy analysis, or life-cycle cost evaluations. Knowledge of ASHRAE, AHRI, and commercial HVAC industry standards. Experience supporting data centers, mission-critical facilities, healthcare, higher education, industrial, or large commercial projects. Experience working with manufacturer engineering teams, product development, technical training, or new product introductions. #LI-DB2 Recruiting Range $90,000 — $110,000 USD Benefits Offered Full-Time Employees: No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits. Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options. Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time. Performance based Short-Term Incentives (varies by role). Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives. Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities. Group Rate Life and Disability Insurance. Benefits Offered Temporary/Contractors: Eligible for the relevant benefit programs offered through our partner agencies. Privacy Notice to California Applicants Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or support@lg4me.freshdesk.com. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied .

Location: Berlin, Germany; München, Germany Workplace: Hybrid At Rohlik Group, we are building the future of e-grocery for over a million active customers across the Czech Republic, Germany, Austria, Hungary, and Romania. We own our entire technology stack — from storefronts and apps to automated fulfillment centers and last-mile logistics. Within the Customer Experience (CUEX) domain, we own every touchpoint a customer interacts with, from the homepage to checkout and real-time order tracking across web, iOS, and Android. Our five storefronts run on a single product spine with localized content, pricing, and brand layers. We operate as a deliberately tight-knit, high-performing team where a Product Owner, Engineering Manager, Tech Lead, two Product Designers, and a dedicated full-stack engineering team ship fast, iterate constantly, and take full ownership of the end-to-end user journey. Most interface failures in e-commerce aren’t layout issues — they are communication problems: what is said, in what order, and on which screen. As Senior Product Design Engineer, you will own the end-to-end design of all customer-facing surfaces across five markets. You will also manage our design system, Maia (our AI shopping assistant), and provide the design guidance that powers our automated coding workflows. WHY THIS ROLE IS EXCITING - High-impact Group scope: Design every customer-facing touchpoint across web, iOS, and Android for five international markets, impacting millions of orders. - True end-to-end ownership: Lead the complete lifecycle of product design — from initial problem definition and customer research to shipped A/B tests and real-world performance analysis. - AI-first execution: Rohlik is an AI-first company. You’ll own the interface design for Maia, our AI shopping assistant, and build the structured design system guidance used by AI coding agents to generate on-brand code without hand-coding interfaces. - Direct customer engagement: Lead user research and usability testing sessions directly with real shoppers, rather than commissioning external agencies or receiving filtered insights. - High accountability, low overhead: Work in a small, autonomous team where design decisions move straight to production and work that doesn't deliver measured impact is honestly reverted. WHAT YOU WILL OWN AND DELIVER - Customer Surfaces: Own the end-to-end design and UX strategy across web, iOS, and Android for all core journey stages: homepage, search & browse, product pages, basket, slot selection, checkout, and order tracking. - Design System as a Product: Own component architecture, design tokens, patterns, and documentation, ensuring our coding agents have precise design guidance to generate accurate interfaces. - AI Experience Design: Define the interaction patterns for Maia (our AI shopping assistant), governing when it intervenes, how it presents information, and how it hands over to human support. - Experimentation & Analysis: Drive hypotheses, prototype rapidly, and evaluate A/B test results objectively — scaling successful experiments and sunsetting features that miss target performance. - Direct User Research: Conduct qualitative interviews, usability tests, and field research directly with customers to continuously uncover friction points. - Cross-Functional Partnership: Collaborate closely with the Product Owner, Engineering Manager, Tech Lead, and your peer product designer, while providing design input to Commercial, Marketing, and Operations. WHAT WE ARE LOOKING FOR - 5+ years of experience designing consumer-facing digital products with a strong portfolio of shipped work across both web and native mobile (iOS and Android). - Advanced Figma & Design System expertise: Deep, hands-on experience building, scaling, and architecting multi-platform design systems at the token and component level. - Data-fluent mindset: Ability to read and rigorously interpret A/B testing data, distinguishing genuine impact from vanity metrics. - Fluency with AI tooling: Practical experience integrating AI tools into modern design, prototyping, and design system workflows, along with a clear view of where conversational AI adds real interface value. - User research expertise: Demonstrated experience designing, running, and analyzing qualitative usability sessions directly with end users. - Strong product reasoning: Excellent communication skills in English (C1 level or above), with the ability to articulate the strategic and behavioral rationale behind design decisions. Nice-to-haves: - Experience designing production-grade AI or assistant-driven interfaces. - Experience contributing directly to code at the component or token level. - Background in e-commerce, quick-commerce, online grocery, or last-mile delivery. - First-hand familiarity with how German customers shop. - Fluency in German or Czech. WHAT’S IN IT FOR YOU - Fair pay, transparent, stable compensation A strong fixed salary with clear rules. No bonus politics. Great work is rewarded openly and fairly. - Good food options, fresh, every day Enjoy subsidised meals/fresh food options in the office and regular refreshments like drinks, fruit, and snacks that keep you energized. - Life beyond work, hybrid work & real flexibility Three days in the office and the rest where it works best for you. Take time off when you need it with paid vacation days above statutory and flexible scheduling. - Grow with Knuspr every day - we move fast, and so can you. Learn, experiment, and take ownership from day one. Every challenge is a chance to grow. - Recognition & community - Your impact is seen and appreciated. You can celebrate colleagues through Bonusly peer-recognition credits and feel supported by a team that works hard and wins together. - Health & wellbeing - Access to our UNIQA private insurance option and supportive wellbeing culture, keeping you healthy inside and outside of work. - Mobility & convenience - Company car available for selected management-level roles and fuel support for regular WH travel. - Premium membership - Free Knuspr Premium membership with exclusive benefits. - Referral rewards - Recommend great people and get rewarded through our group referral program. - Team spirit - We organize team events, celebrations, and moments to connect because work is better when we win together. #LI-ML1 #Knuspr

Location: Prague, Czech Republic; Group career pages Workplace: Hybrid At Rohlik Group, we are building the future of e-grocery for over a million active customers across the Czech Republic, Germany, Austria, Hungary, and Romania. We own our entire technology stack — from storefronts and apps to automated fulfillment centers and last-mile logistics. Within the Customer Experience (CUEX) domain, we own every touchpoint a customer interacts with, from the homepage to checkout and real-time order tracking across web, iOS, and Android. Our five storefronts run on a single product spine with localized content, pricing, and brand layers. We operate as a deliberately tight-knit, high-performing team where a Product Owner, Engineering Manager, Tech Lead, two Product Designers, and a dedicated full-stack engineering team ship fast, iterate constantly, and take full ownership of the end-to-end user journey. Most interface failures in e-commerce aren’t layout issues — they are communication problems: what is said, in what order, and on which screen. As Senior Product Design Engineer, you will own the end-to-end design of all customer-facing surfaces across five markets. You will also manage our design system, Maia (our AI shopping assistant), and provide the design guidance that powers our automated coding workflows. WHY THIS ROLE IS EXCITING - High-impact Group scope: Design every customer-facing touchpoint across web, iOS, and Android for five international markets, impacting millions of orders. - True end-to-end ownership: Lead the complete lifecycle of product design — from initial problem definition and customer research to shipped A/B tests and real-world performance analysis. - AI-first execution: Rohlik is an AI-first company. You’ll own the interface design for Maia, our AI shopping assistant, and build the structured design system guidance used by AI coding agents to generate on-brand code without hand-coding interfaces. - Direct customer engagement: Lead user research and usability testing sessions directly with real shoppers, rather than commissioning external agencies or receiving filtered insights. - High accountability, low overhead: Work in a small, autonomous team where design decisions move straight to production and work that doesn't deliver measured impact is honestly reverted. WHAT YOU WILL OWN AND DELIVER - Customer Surfaces: Own the end-to-end design and UX strategy across web, iOS, and Android for all core journey stages: homepage, search & browse, product pages, basket, slot selection, checkout, and order tracking. - Design System as a Product: Own component architecture, design tokens, patterns, and documentation, ensuring our coding agents have precise design guidance to generate accurate interfaces. - AI Experience Design: Define the interaction patterns for Maia (our AI shopping assistant), governing when it intervenes, how it presents information, and how it hands over to human support. - Experimentation & Analysis: Drive hypotheses, prototype rapidly, and evaluate A/B test results objectively — scaling successful experiments and sunsetting features that miss target performance. - Direct User Research: Conduct qualitative interviews, usability tests, and field research directly with customers to continuously uncover friction points. - Cross-Functional Partnership: Collaborate closely with the Product Owner, Engineering Manager, Tech Lead, and your peer product designer, while providing design input to Commercial, Marketing, and Operations. WHAT WE ARE LOOKING FOR - 5+ years of experience designing consumer-facing digital products with a strong portfolio of shipped work across both web and native mobile (iOS and Android). - Advanced Figma & Design System expertise: Deep, hands-on experience building, scaling, and architecting multi-platform design systems at the token and component level. - Data-fluent mindset: Ability to read and rigorously interpret A/B testing data, distinguishing genuine impact from vanity metrics. - Fluency with AI tooling: Practical experience integrating AI tools into modern design, prototyping, and design system workflows, along with a clear view of where conversational AI adds real interface value. - User research expertise: Demonstrated experience designing, running, and analyzing qualitative usability sessions directly with end users. - Strong product reasoning: Excellent communication skills in English (C1 level or above), with the ability to articulate the strategic and behavioral rationale behind design decisions. Nice-to-haves: - Experience designing production-grade AI or assistant-driven interfaces. - Experience contributing directly to code at the component or token level. - Background in e-commerce, quick-commerce, online grocery, or last-mile delivery. - First-hand familiarity with how German customers shop. - Fluency in German or Czech. WHAT’S IN IT FOR YOU - Fair reward - You’ll get a strong fixed salary, no bonus games, no politics. Great work is rewarded clearly and fairly. - Good food every day - You’ll enjoy a free lunch every day and fresh fruit & veggies in the office. Because good food fuels great work. - Life, not just work - You’ll have real flexibility three days in the office, 2 days at the Home Office where it suits you. And unlimited paid vacation based on trust. - Personal growth - You’ll grow as fast as Rohlik does. Every challenge is a chance to learn and make an impact. - Real impact - What you do here matters. You’ll see your work changing how people eat and live from day one. - Recognition among colleagues - Your effort won’t go unnoticed. You can recognise others (and be recognised) through peer credits to use in our internal cafeteria. - Xtra membership - You’ll get free Xtra membership and 10% cashback on everything you buy on Rohlik.cz http://Rohlik.cz. - Sport & wellbeing - You’ll stay active with company sports challenges or a subsidised Multisport card. - A team that sticks together - You’ll work with people who move fast, support each other and celebrate wins together. - If this sounds like you - You’re someone who takes ownership, acts fast and gets things done. Ready to bake something great with us? #LI-ML1

— Collaborating closely with Product Designers, focusing on new feature design and prototyping; — Being involved in the user experience design process, from wireframes and mockups through implementation and release;

Location: Bratislava, Slovakia About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. At DoorDash International, we're building the future of local commerce across some of Europe's leading delivery businesses, including Wolt and Deliveroo. Our teams work across brands and markets to identify opportunities, build scalable solutions and turn global capabilities into meaningful local impact. Why Join Us? At DoorDash International, execution drives impact. We combine the scale and technology of a global platform with a deep understanding of our local markets. You'll work across Wolt and Deliveroo, partnering with teams throughout EMEA markets to solve complex business problems and scale what works. If you're passionate about using data to identify growth opportunities, turning insights into action and working across markets to drive measurable business impact, this is an opportunity to help shape how we grow our Restaurant business through better menus. What you'll be doing We are seeking a Menu Growth Senior Specialist to support Restaurant growth by improving restaurant Menu Performance and driving adoption of menu-related growth initiatives across EMEA. Menus are a critical part of the customer and merchant experience. Their quality, completeness and use of growth features can influence customer choice, basket size and overall merchant performance. You will work closely with the Menu Growth Manager to analyze menu performance, identify opportunities and translate insights into concrete initiatives. You will take end-to-end ownership of defined workstreams, such as Menu Completeness,  and work with local Account Management and Merchant Operations teams to execute them across markets and measure their impact. This is a hands-on Strategy & Operations role combining analytics, project management and stakeholder collaboration. You will independently drive your initiatives from analysis through execution and performance tracking, while partnering with the Menu Growth Manager and Consumer Teams on broader strategy and prioritization. Day-to-day in this role you'll: Menu Growth Analysis (~30%) Analyze consumer needs around menu, merchant and business performance to identify gaps and growth opportunities. Use SQL, Snowflake, spreadsheets and dashboards to investigate performance and support data-driven decision-making. Work with the Menu Growth Manager to turn insights and hypotheses into concrete initiatives. Track key metrics including and identify markets or merchant segments requiring additional focus. Support impact measurement and experimentation to understand which interventions improve merchant and business outcomes. Prepare clear analyses and recommendations that help EMEA and local teams make informed decisions. Initiative Execution (~45%) Own defined Menu Growth initiatives end-to-end, from planning through market rollout and performance tracking. Support the rollout and adoption of EMEA initiatives Translate initiatives into clear execution plans, timelines, materials and actions for participating markets. Track progress against agreed targets and proactively identify execution gaps or blockers. Coordinate follow-ups with local teams and support them in implementing agreed actions. Measure results, document learnings and recommend improvements together with the Menu Growth Manager. Help scale successful approaches and best practices across EMEA markets. Market & Stakeholder Collaboration (~25%) Work closely with local Account Management and Merchant Operations teams and their leaders across EMEA. Support markets in understanding menu performance gaps and translating insights into concrete actions. Build strong relationships with local stakeholders to drive adoption and execution of Menu Growth initiatives. Gather structured market feedback and use it to improve future initiatives. Coordinate with Analytics and Product when initiatives require additional data, insights or tooling support. Share successful approaches and learnings across markets to accelerate adoption and reduce duplicated effort. Our humble expectations 2–4 years of experience in Strategy & Operations, Business Operations, Marketplace/Commercial Operations or a comparable analytical role. Strong analytical and structured problem-solving skills, with the ability to turn data into actionable recommendations. Comfortable working with large datasets, SQL/Snowflake, Excel/Google Sheets and BI/dashboarding tools. Familiarity with hypothesis-driven problem solving, experimentation and A/B testing principles. First project management experience, with the ability to independently drive defined initiatives from analysis through execution. A commercial mindset and curiosity about how merchant and customer behavior translates into business growth. Strong stakeholder-management skills and a proactive, action-oriented approach to driving execution across teams and markets. Fluent business English; experience in marketplaces, food delivery, e-commerce or high-growth tech is a plus. What we offer A fast-growing tech company with lots of career opportunities, both locally and internationally; Employee Assistance Programme - therapy and wellbeing; Employee discount on all Wolt orders; Next steps If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team, then click below to apply and get the conversation going! We will be reviewing applications on an ongoing basis, so if this sounds like an opportunity you want to pursue, apply today! The successful candidate's starting pay will fall within the pay range listed below and is determined based on a number of job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. This position is not eligible for consideration for an equity/RSU grant. Pay Range: €2.192 — €2.740 EUR Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: Dallas Workplace: Remote About the role We are looking for an Enterprise Account Executive in the Dallas territory to join our team and own the end to end sales process for all prospects and customers. As a Cybersecurity Account Executive at Cyberhaven, you are expected to have a go getter attitude and be a true brand ambassador driving many activities from prospecting and pitching to closing and negotiating deals.   What you’ll do - Establish professional productive relationships with new and existing assigned accounts. - Qualify, manage and support leads from marketing campaigns and sales opportunities, and progress opportunities through the Cyberhaven sales process. - Build a local franchise to own the market in your territory thru trusted partner relationships and strategic alliances. - Continuously build new pipeline and exceed assigned software and services growth goals. - Proactively seek new business opportunities in the market, as well as upsell and cross-sell of existing clients. - Contact potential clients through cold calls and emails, and present Cyberhaven’s unique DDR solution. - Identify client needs and suggest appropriate products and services. - Proactively plan, set critical milestones, assess, clarify and validate partners needs on an ongoing basis, to establish productive relationships. - Stay up-to-date with new products, services and pricing models. - Build long-term trusted relationships with clients and partners. Who you are - 8+ years industry experience selling Cybersecurity software in the Dallas area required; DLP strongly preferred. - True enterprise experience closing multiple $250,000 to $1,000,000 deals - Competitive, Self-starter, willing to work hard and own results. - Willing to ask questions, have a strong work ethic, are persistent, and coachable. - Lifelong learner – We approach our work with curiosity and an open mind, never settling for good enough. - You run towards challenges and will find a solution for the unsolvable. - High energy – We love what we do and bring our best selves to work each day. We seek to share our optimism and compassion with everyone around us. - Ability to understand technical concepts, possess enthusiasm for technology, and to articulate clearly to all levels of technical aptitude. - Ability to adapt quickly to a fast-paced environment. - Located in Dallas. Joining Cyberhaven means joining the team building Data Security for the Agentic Enterprise. Traditional tools fall short. Cyberhaven traces the full lifecycle of your data, adapting protection to changing context, so protection moves with the way people actually work, not against it. AI Changed Work. We Protect It. Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, working alongside people driven to protect workflows, not just data, for customers who cannot afford to slow down to stay safe. AI Tools Disclosure: As part of Cyberhaven's hiring process, we use recruiting tools that include AI-powered features to help with tasks like scheduling, note-taking, workflow automation, and other recruiting activities ("AI Tools"). The AI Tools may process information you provide during the application and interview process. When AI-assisted interview note taking is used, candidates are notified in advance and have the option to opt out of the AI-assisted interview note taking. Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Location: Remote - Global Workplace: Remote We're hiring a Software Engineer to join a growing team building products that reach hundreds of thousands of people thinking about how to do the most good. This is an individual contributor role on our Online Team, and will be responsible for prioritizing and implementing impactful technical work at CEA. This position reports to the incoming Head of Digital Product. You will collaborate closely with our Senior Software Engineer, Senior Product Designer, and EA Forum Product Lead, along with other teams at CEA as needed. We’re aiming to hire a mid-level software engineer, but we would consider hiring at the senior level for the right candidate. ABOUT CEA The Centre for Effective Altruism (CEA) stewards the movement of people putting effective altruism principles into practice to solve the world's most pressing problems. We’re working to build a flourishing future by applying evidence, reason, and compassion to challenges like global poverty, animal suffering, and existential risks. Our work centers on growing and supporting a global community of people who rigorously analyze where they can do the most good – and take action on those insights. Current strategic priorities https://forum.effectivealtruism.org/posts/QkE35oTsasMn37o7R/stewardship-cea-s-2025-26-strategy-to-reach-and-raise-ea-s-1 include increasing understanding of effective altruism and its principles, growing the number of people who are motivated by EA principles to take significant action to address pressing problems, and diversifying funding sources for high-impact work. We had significant success in 2025, building momentum within CEA. Our headcount grew from 42 to 66 core staff. Participation in our programs (e.g., events, courses, groups) grew by 20-25% year over year. We merged https://forum.effectivealtruism.org/posts/BLvTcMMEQGFYsh6Jw/ea-funds-and-cea-are-merging with EA Funds https://funds.effectivealtruism.org/ and are rapidly scaling up our capacity for grantmaking and associated fundraising: our first Fund staffed with full-time employees (EA Animal Welfare Fund https://funds.effectivealtruism.org/funds/animal-welfare), raised almost as much as the previous three years combined. In 2026, we’ve maintained ambitious momentum https://forum.effectivealtruism.org/posts/Dy4iGHbAkKAQ4t2Dw/building-sustainable-momentum-progress-report-on-cea-s-2025 while laying the foundations for a step-change in the wider EA ecosystem’s growth trajectory from 2027 onwards. ABOUT THE ONLINE TEAM The Online Team is a small, fast-paced tech and content team with the expertise to build and run web products that help support and grow the number of people engaging with and applying EA principles to their careers, research, and donations. We own and operate the EA Forum https://forum.effectivealtruism.org/, and provide critical design and engineering capacity for other CEA projects such as the EA Newsletter https://www.effectivealtruism.org/ea-newsletter-archives, the EA Opportunities Board https://www.effectivealtruism.org/opportunities, and our courses https://www.effectivealtruism.org/courses. Over the last few years we’ve also redesigned and rebuilt effectivealtruism.org http://effectivealtruism.org, funds.effectivealtruism.org http://funds.effectivealtruism.org, and centreforeffectivealtruism.org http://centreforeffectivealtruism.org. The EA Forum in particular is one of the EA community building institutions with the widest reach, serving 700K annual visitors. As AI capabilities improve, we’re also exploring how integrating AI into CEA’s online product portfolio and internal tooling can help us have more impact. Our team currently consists of Ollie Etherington https://github.com/oetherington, Senior Software Engineer, Agnes Stenlund https://www.linkedin.com/in/agnesstenlund/,Senior Product Designer, and Toby Tremlett https://www.linkedin.com/in/toby-tremlett-%F0%9F%94%B9-56a5b117a/, EA Forum Product Lead, and we plan to continue expanding in 2027. ABOUT THE ROLE CEA has ambitious goals https://forum.effectivealtruism.org/posts/Dy4iGHbAkKAQ4t2Dw/building-sustainable-momentum-progress-report-on-cea-s-2025 for 2027 and beyond, and we need more software engineering capacity in order to reach those goals. We’re now looking to hire a full-stack engineer who can help make impactful improvements across all of our products. You’ll be implementing new features and bug fixes for various product managers, as well as proactively looking for ways to improve our online products yourself. You’ll be jointly responsible for DevOps, ensuring that all of our sites are fast and reliable, and you’ll take part in our weekly on-call rotation. The vast majority of our code is written in TypeScript and is built on Node.js, React, Next.js, Postgres, and Elasticsearch. Our sites are hosted on Render, Vercel, and Cloudflare, and our analytics data is stored and processed in PostHog. Some potential projects you may work on: - We’re deep in the process of migrating https://gitlab.com/eaforum/eaforum the EA Forum codebase over to Next.js – if you join, you can help us establish the next evolution of key EA community infrastructure, which we hope will set stronger foundations for many years to come. - We’ve recently hired product managers for the EA Opportunities Board https://www.effectivealtruism.org/opportunities and our courses https://www.effectivealtruism.org/courses who will continue driving these projects forwards – some of the changes they’re planning will require engineering. - EA Funds https://funds.effectivealtruism.org/ is now part https://forum.effectivealtruism.org/posts/BLvTcMMEQGFYsh6Jw/ea-funds-and-cea-are-merging of CEA, and has not had dedicated technical capacity in a long time. Their team would be excited to collaborate on how to make their processes more efficient using AI (they already have a long list of ideas!) - In 2026, we’ve massively overhauled our analytics and data infrastructure, and we’d be excited for a data-minded engineer to continue pushing this project forward. Having a strong data foundation will be crucial for CEA’s ability to find product-market-impact fit https://forum.effectivealtruism.org/posts/DyncXLQ2ysb9K9dfR/you-need-user-buy-in-to-scale-your-impact to scale up our products. - CEA is expecting to lean into virtual products in 2027, including running at least one major virtual event. KEY RESPONSIBILITIES Provide engineering support for multiple CEA teams - Implement features and fix issues in our current products to support the work of others on the team. - Proactively collaborate with other CEA teams to understand where you can provide value and fill technical gaps, such as by building internal tooling. - Ship reliable, maintainable production code, and address high-priority bugs when they come up. AI tools can make us faster, but our work still needs to hold up over time. - Ensure that we’re collecting relevant metrics and analytics data, and that it can be used by non-technical members of staff to inform decision-making. - Share our weekly on-call rotation with our Senior Software Engineer, Ollie, triaging incoming requests and responding to urgent issues. IMPROVE ENGINEERING INFRASTRUCTURE - Help maintain and improve infrastructure, monitoring, deployments, and testing. - Identify high-priority DX problems and develop solutions to help the team work more efficiently. - Make justified and cost-effective decisions about what technologies and services we use to build our products. WHAT WE’RE LOOKING FOR We're hiring this role at either the Software Engineer or Senior Software Engineer level. The core expectations below apply to both, with additional expectations for the senior level noted at the end. Core expectations for both levels: - Solid full-stack engineering experience. You can independently build and maintain a product like an online forum (frontend, backend, databases, devops, and 3rd-party integrations). You explain your technical decisions clearly enough that teammates can push back. As a baseline, we expect you to be familiar with TypeScript, React, and Postgres, and that you can pick up our other technologies quickly. You write appropriate tests for new functionality. - Impact focus. You care about real outcomes and not just shipped features. You gather data, evaluate your work, and iterate quickly. You're excited to explore new opportunities to use software to increase CEA’s impact. - Autonomy. You're comfortable being one of two engineers in the organization, and can learn new skills as needed. You’re happy to own the technical-side of a project, working with non-technical product managers to implement ideas end-to-end, including proactively asking for support when necessary. - AI fluency. You’ve used AI coding agents and have developed good judgment about where they help, where they fail, and how to verify their output. You can use them to speed up your work, but never at the expense of code architecture or maintainability. YOUR CANDIDACY WILL BE STRONGER THE MORE YOU ALSO BRING: - Devops. You have experience provisioning servers and databases for sites serving hundreds of thousands of active users. You can mitigate adversarial bot attacks, and set sensible, safe caching rules. - Prioritization. You back-chain from organizational strategy to prioritize work on different products, and can work with product owners to provide realistic and achievable timelines for implementing changes and new features. - Product thinking. You notice particularly good or bad user experiences and reflect on what makes them so, and you can combine these intuitions with targeted analytics data in order to tangibly improve products. To be considered for the Senior level of this role, we require a candidate to meet the following criteria: - Architectural ownership. You have a track record of independently owning the technical direction of a significant project (such as a major refactor or a new product), being clear about the tradeoffs you made and how you will address key risks. - A track record of impact. You have a history of shipping production work that mattered to real users, and can point to specific cases where your work moved real outcomes. - Strategic autonomy. You can take technical ambiguity and turn it into a credible plan, including translating broad goals into quarterly OKRs and contributing to technical direction at the team level. We can imagine being excited about candidates with a wide range of different skills and experience, and encourage you to apply even if you aren't sure that you're fully qualified. OTHER INFORMATION - This is a full-time, remote position. We prefer applicants who are able to work in time zones between US Eastern Time and CET. - We have an office in Oxford, UK, that you would have access to. - Start date: January 2027 or sooner - Reports to: Incoming Head of Digital Product (Joris Pijpers, Chief of Staff, Community Growth in the interim) - Compensation - Software Engineer - US: For this role we offer a base salary of $134,900 and a 10% unconditional 401k contribution. - Senior Software Engineer - US: For the role we offer a base salary of $166,725 and a 10% unconditional 401k contribution. - For candidates outside the US, base salary is converted from USD to your local currency using a fixed exchange rate - Benefits include private health insurance, flexible work hours, a $6,000 annual professional development allowance, a $6,000 mental health support allowance, extended parental leave, ergonomic equipment, 25 days of paid vacation or country-specific time off entitlements, whichever is greater. - This role will involve travel. There are likely 2-4 trips annually to attend team retreats and other events, including international trips. We are committed to fostering a culture of inclusion and encourage individuals with diverse backgrounds and experiences to apply. We especially encourage applications from self-identified women and people of colour who are excited about contributing to our mission. The Centre for Effective Altruism is an equal opportunity employer. If you need assistance or an accommodation due to a disability, or have any other questions about applying, please contact jobs@centreforeffectivealtruism.org or inform the recruiter directly. CEA participates in E-Verify for US employees. We are committed to protecting your data. See our privacy policy https://www.centreforeffectivealtruism.org/privacy for more information. EVALUATION PLAN We expect the interview process to include the following steps, subject to minor changes: - Application - Screening interview - Engineering interview - Pair programming task - Final interviews (2-3) - Reference checks

Location: Mississauga, Ontario Workplace: hybrid At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. Position Summary: This role provides senior-level HRIS support, solutions and coverage, ensuring continuity of day-to-day HR systems operations while supporting ongoing HR technology initiatives. The Sr. HRIS Analyst acts as a trusted HRIS partner to HR, Payroll, and IT, stabilizing current core HR technology operations. The role provides support for HR transformation efforts, including business process optimization and system readiness for emerging technologies (e.g., SuccessFactors to Workday). Key Responsibilities: HRIS Operations & Module Support Serve as the primary HRIS partner for core HCM modules (primarily SAP SuccessFactors Employee Central, Compensation, Recruiting, Onboarding, Payroll, Talent modules and Learning technologies). Provide hands-on configuration, troubleshooting, and support across the employee lifecycle. Support HR and Payroll teams with issue resolution, data corrections, and system inquiries. Support planning and launch of annual cycles namely Employee Objective Setting, Compensation Planning, template configuration and mass-change file uploads. Provide guidance and system training to administrators, program owners, and other platform users. System Enhancements, Releases & Integrations Manage and execute system changes including configuration updates, releases, enhancements, and integrations. Support HR system integrations and data feeds using middleware or APIs (e.g., Dell Boomi, SAP CPI, file-based integrations). Partner with IT and vendors to resolve defects, manage incidents, and coordinate fixes. Identify new or under-utilized system capabilities, including embedded AI and automation features, to continually improve functionality and user workflows Data Management, Security & Compliance Perform data migration activities, mass uploads, data mapping, and validation. Maintain Role-Based Permissions (RBP), workflow rules, MDF objects, and foundation objects. Conduct data audits, support compliance activities, and ensure data integrity across systems. Testing & Change Support Lead and execute testing activities including SIT, UAT, regression, and end-to-end testing. Support HR-led initiatives such as compensation planning cycles, reporting changes, and process updates. Document changes, processes, and configuration decisions for continuity and audit readiness. Reporting & Insights Support standard and ad hoc reporting across HRIS platforms. Assist with dashboards, audits, and workforce analytics using SuccessFactors reporting and/or Power BI. Partner with HR stakeholders to translate reporting needs into system solutions. Future-State Readiness Contribute to migration preparation activities such as data cleanup, configuration rationalization, and reporting alignment. Other Duties as Assigned Required Skills & Qualifications: 5-7+ years of senior HRIS experience in large enterprise environments. Bachelor’s degree in HR, Information Systems, Business, or a related field Strong hands-on experience with SAP SuccessFactors, especially Employee Central, including backend. Workday experience (support, reporting, security, migration activities). Experience with REST APIs, HR system integrations, data feeds, and/or middleware. Proven experience supporting HRIS operations during high-volume, business-critical periods. Strong testing, data validation, and troubleshooting skills. Ability to operate independently with minimal ramp-up. Preferred Experience: Experience supporting compensation cycles, payroll, or time & attendance integrations. Experience supporting HR transformations or platform transitions. Experience with Python and web services; ServiceNow HR case management exposure. Master's degree preferred but not required. #LI-TW1 #LI-Hybrid   Corp - D Professional - 3 PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The Canada base salary range for this position is $84,000 - $105,000 + bonus + benefits, non-overtime eligible. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all Canada locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.

Location: Remote: United States About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. We are seeking a Product Counsel to partner closely with Product Management, Engineering, Security, and Go-To-Market teams to ensure our products are designed, built, and delivered in compliance with applicable laws and aligned with our risk tolerance. This role is embedded in the product lifecycle, from roadmap planning and feature design through launch, customer adoption, and ongoing iteration, and is critical to enabling fast, responsible innovation in a global, enterprise software environment. Key Responsibilities Product & Engineering Support Act as the primary legal partner for product and engineering teams across cloud, on-prem, and hybrid offerings. Advise on legal issues throughout the product development lifecycle, including feature design, data flows, APIs, integrations, and platform architecture. Review and help shape product requirements, specifications, and launch plans to proactively manage legal risk. Open Source & Licensing Advise on open-source software (OSS) usage, contributions, and licensing models (e.g., GPL, AGPL, Apache, MIT, dual licensing). Support compliance with open-source obligations and guide product teams on inbound and outbound licensing strategies. Partner with engineering and security on OSS governance and tooling. Privacy, Security & Data Provide guidance on privacy and data protection matters (e.g., GDPR, CCPA, global data transfer frameworks). Advise on product-embedded privacy features, security controls, and data-handling practices. Partner with Security, Trust, and Compliance teams on incident response, customer security inquiries, and audits. Commercial & GTM Enablement Support product-led go-to-market initiatives. Help develop scalable legal frameworks that enable enterprise sales while supporting self-serve and cloud motions. Regulatory & Risk Management Monitor emerging laws and regulations affecting enterprise software, AI, data, and cloud services, and translate them into practical guidance for product teams. Identify and assess legal risks associated with new technologies, features, and business models, and propose mitigation strategies. Contribute to internal policies, guidelines, and playbooks related to product development and delivery. Cross-Functional Collaboration Serve as a trusted advisor to senior product and engineering leaders. Educate and empower non-legal stakeholders through training and clear, pragmatic guidance. Help scale legal processes to support a fast-growing, global organization. Qualifications Required JD or equivalent law degree; licensed and in good standing in at least one jurisdiction. 10+ years of relevant legal experience, with a significant focus on product, technology, or commercial matters. Experience supporting enterprise software, cloud services, or developer-focused products. Strong working knowledge of: Software licensing and SaaS models Open-source licensing concepts Privacy and data protection frameworks Ability to translate complex legal issues into clear, actionable guidance for technical and non-technical audiences. Preferred In-house experience at a B2B SaaS or open-source company. Familiarity with database technologies, developer platforms, or infrastructure software. Experience with AI/ML, data platforms, or regulated enterprise customers. Comfort working in a fast-paced, globally distributed organization. What Success Looks Like Product teams view Legal as a strategic partner, not a blocker. Legal risks are identified early and addressed pragmatically, enabling faster launches. Clear, scalable legal frameworks support both enterprise sales and product-led growth. The company confidently navigates open-source, privacy, and regulatory complexity while continuing to innovate The annual base salary range for this position based in the United States is listed below. This salary range is an estimate, and the actual salary may vary based on Neo4j’s compensation practices, job related skills, depth of experience, relevant certifications and trainings, in addition to geographic location. Based on the factors above, Neo4j utilizes the full width of the range. In addition to the range below, US employees are eligible for a stock option grant and certain roles are eligible for an annual bonus. Employees in this position are also eligible to participate in the Company’s standard benefit programs, which currently include the following: medical, dental, and vision benefits, 401(k), paid time off, and certain leaves of absence. Annual Base Salary Range for This Role $260,000 — $300,000 USD Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years. Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific , BT Group , Caterpillar , Cisco , Comcast , Department for Education UK , eBay , NBC News , Novo Nordisk , Worldline , and others . Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. Countless industry awards . Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers. Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments) Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide. More information at www.neo4j.com . ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.