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Location: Remote Canada At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Affirm's engineering team is building a large-scale, fault-tolerant, and global infrastructure that is shared across multiple financial products, merchants, and vendors. Ensuring that our infrastructure is transparently available to all engineers is critical to the success of the business. We pride ourselves on our culture across engineering of writing blameless postmortems as well as writing detailed tech specs and gathering feedback before large changes to systems. The AI Platform team owns Affirm's paved path for building, running, evaluating, and governing AI systems. Our customers are not only Affirm users, but also every engineer and a growing set of production workloads at Affirm. As a team, we are responsible for building and exposing simple, governed interfaces to models, tools, and agents, with identity, cost attribution, reliability, and security built in. Examples of components we own include the LLM Gateway that fronts every approved model (Claude, ChatGPT, and open-weight models across AWS Bedrock and other providers), the MCP Gateway that mediates and audits tool calls, the Agent Runtime that gives agentic workloads bounded execution, and the evals and observability layer that tells teams whether an AI change is better, cheaper, or safe to ship. We are early: the gateway is in daily use across engineering, the first production agent is live, and the next year takes us from developer productivity to production inference and agents. What You'll Do Plan, execute, and own technical decisions and projects within the AI Platform team, from design through launch and on-call. Design and build the gateway, runtime, and evaluation services that take AI workloads at Affirm from pilot to production, securely scaling across millions of users and their transactions. Make AI spend attributable and governable: build the identity, quota, routing, caching, and failover controls that let teams adopt new models and tools without re-solving the same platform problems. Partner with security, infrastructure, and product engineering teams to set the guardrails for agentic workloads and the on-behalf-of identity model for tool access. Create and monitor metrics for your team's systems, and own the operational health of what you ship: monitoring, alerting, runbooks, and on-call. Set and improve code review and design standards, and advocate for them beyond your team through writing and tech talks. Use AI tools and agentic workflows every day as a multiplier for your own code, design review, and operations, and push the team on what a small AI-native team can deliver. Educate, mentor, and grow engineers in the team, and drive best practices around design, coding, and testing. What We Look For You have 4+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. You have a track record of developing highly available distributed systems using technologies like AWS, MySQL and Kubernetes. You have practical experience building with LLMs, agents, or AI frameworks in production: inference APIs, LLM gateways (LiteLLM or similar), MCP, tool calling, evals, or agent runtimes. You understand AI usage and the infrastructure needed to support and leverage AI workloads across different disciplines. You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others. You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely. Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. This position requires either equivalent practical experience or a Bachelor’s degree in a related field. This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan Pay Grade - N Equity Grade - 6 Employees new to Affirm typically come in at the start of the pay range . Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) CAN base pay range per year: $153,000 - $213,000 CAD #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: San Francisco; New York City Workplace: Hybrid Perplexity's sales organization is growing fast, and our sellers need the right content, tools and AI workflows to win. As our first Sales Enablement Operations Manager, you'll be the strategic partner and builder behind how Perplexity's sales team finds, uses and learns from content. This role is both strategic and hands-on. You'll work with the Sales Enablement Lead to define our content management strategy, including whether to build on Perplexity's own AI platform or buy a dedicated tool. Then you'll build it, run it and keep improving it. You'll also build AI skills, plugins and workflows that make reps and managers faster and more effective every day. This is a foundational hire. We're looking for someone who can grow into a leadership role as the enablement function scales. RESPONSIBILITIES Help shape content and knowledge strategy - Partner with the Sales Enablement Lead to define the long-term content management strategy for the sales team, from requirements to the build-vs-buy decision. - Work alongside the Sales Enablement Lead on the evaluation: gather stakeholder needs, assess options (including Perplexity Computer and third-party platforms), model costs and tradeoffs, and shape a joint recommendation to sales leadership. - Design the content architecture: taxonomy, ownership, governance, approval workflows and lifecycle (create, review, update, retire). Help build and run the enablement stack - Own the implementation and maintenance of the sales content hub, call library and training platform, leveraging Perplexity throughout. - Help coordinate with Revenue Operations, Product Marketing, Product and Legal so content is accurate, approved and available where sellers work (Salesforce, Slack, call-recording tools). - Own enablement reporting: content usage, training completion, certification status and how they relate to ramp and performance. Build AI tools for the sales team - Design, build and maintain AI skills, plugins and agent workflows for account executives, BDRs and sales managers, such as account research, call prep, deal reviews, coaching and pipeline hygiene. - Turn repeated seller and manager tasks into reusable AI workflows, then drive adoption through training, documentation and feedback loops. - Develop training materials for sellers and managers on using AI tools well, and keep a shared library of best practices. Lead and scale - Set the standards for how enablement content and AI tools get built, contributed and maintained across the GTM organization. - Act as a trusted thought partner to enablement leadership on priorities, operating model and tooling. - Help shape the enablement operations function as the team grows, with a path to leading it. WHAT WE'RE LOOKING FOR - 4–6 years in go-to-market roles, with at least 2 years owning sales enablement operations, revenue operations, GTM systems or sales content strategy. - Experience owning a sales content or knowledge system end to end, including taxonomy, governance, adoption and measurement. - A track record of leading or heavily shaping a tooling decision, such as a platform evaluation, migration or in-house build. - Real, hands-on AI fluency: you've built AI tools or workflows (custom GPTs, Claude or Perplexity skills, MCP connectors, n8n, Zapier, Clay or similar) that other people use regularly, and you can show examples. - Systems thinking: you understand how content, CRM, call-recording and communication tools connect, and you design for how sellers actually work. - Strong judgment and the ability to make a clear recommendation and defend it with leadership. - Experience driving cross-functional projects without formal authority. - Clear written and verbal communication, and a bias toward shipping, measuring and iterating. Nice to have - Experience as the first enablement operations or GTM systems hire, building the function from scratch. - Hands-on experience with enablement platforms such as Highspot, Seismic, Guru, Mindtickle or Showpad. - Background as an AE, SE or BDR before moving into enablement or operations. - Experience managing or mentoring contractors, interns or direct reports. - Experience at a high-growth AI or SaaS company. WHAT SUCCESS LOOKS LIKE - First 90 days: You've assessed current content and tools, interviewed sellers and managers, made a build-vs-buy recommendation with the Sales Enablement Lead, and shipped the first AI skills the sales team uses every week. - First 6 months: A governed content hub and call library are live and adopted, enablement reporting is in place, and a growing library of AI tools is measurably saving time for reps and managers. - First year: Enablement operations is a scalable function with clear standards, and you're ready to lead it as the team grows.

Location: San Francisco; New York City Workplace: Hybrid Perplexity's sales organization is growing fast, and our sellers need the right content, tools and AI workflows to win. As our first Sales Enablement Operations Manager, you'll be the strategic partner and builder behind how Perplexity's sales team finds, uses and learns from content. This role is both strategic and hands-on. You'll work with the Sales Enablement Lead to define our content management strategy, including whether to build on Perplexity's own AI platform or buy a dedicated tool. Then you'll build it, run it and keep improving it. You'll also build AI skills, plugins and workflows that make reps and managers faster and more effective every day. This is a foundational hire. We're looking for someone who can grow into a leadership role as the enablement function scales. RESPONSIBILITIES Help shape content and knowledge strategy - Partner with the Sales Enablement Lead to define the long-term content management strategy for the sales team, from requirements to the build-vs-buy decision. - Work alongside the Sales Enablement Lead on the evaluation: gather stakeholder needs, assess options (including Perplexity Computer and third-party platforms), model costs and tradeoffs, and shape a joint recommendation to sales leadership. - Design the content architecture: taxonomy, ownership, governance, approval workflows and lifecycle (create, review, update, retire). Help build and run the enablement stack - Own the implementation and maintenance of the sales content hub, call library and training platform, leveraging Perplexity throughout. - Help coordinate with Revenue Operations, Product Marketing, Product and Legal so content is accurate, approved and available where sellers work (Salesforce, Slack, call-recording tools). - Own enablement reporting: content usage, training completion, certification status and how they relate to ramp and performance. Build AI tools for the sales team - Design, build and maintain AI skills, plugins and agent workflows for account executives, BDRs and sales managers, such as account research, call prep, deal reviews, coaching and pipeline hygiene. - Turn repeated seller and manager tasks into reusable AI workflows, then drive adoption through training, documentation and feedback loops. - Develop training materials for sellers and managers on using AI tools well, and keep a shared library of best practices. Lead and scale - Set the standards for how enablement content and AI tools get built, contributed and maintained across the GTM organization. - Act as a trusted thought partner to enablement leadership on priorities, operating model and tooling. - Help shape the enablement operations function as the team grows, with a path to leading it. WHAT WE'RE LOOKING FOR - 4–6 years in go-to-market roles, with at least 2 years owning sales enablement operations, revenue operations, GTM systems or sales content strategy. - Experience owning a sales content or knowledge system end to end, including taxonomy, governance, adoption and measurement. - A track record of leading or heavily shaping a tooling decision, such as a platform evaluation, migration or in-house build. - Real, hands-on AI fluency: you've built AI tools or workflows (custom GPTs, Claude or Perplexity skills, MCP connectors, n8n, Zapier, Clay or similar) that other people use regularly, and you can show examples. - Systems thinking: you understand how content, CRM, call-recording and communication tools connect, and you design for how sellers actually work. - Strong judgment and the ability to make a clear recommendation and defend it with leadership. - Experience driving cross-functional projects without formal authority. - Clear written and verbal communication, and a bias toward shipping, measuring and iterating. Nice to have - Experience as the first enablement operations or GTM systems hire, building the function from scratch. - Hands-on experience with enablement platforms such as Highspot, Seismic, Guru, Mindtickle or Showpad. - Background as an AE, SE or BDR before moving into enablement or operations. - Experience managing or mentoring contractors, interns or direct reports. - Experience at a high-growth AI or SaaS company. WHAT SUCCESS LOOKS LIKE - First 90 days: You've assessed current content and tools, interviewed sellers and managers, made a build-vs-buy recommendation with the Sales Enablement Lead, and shipped the first AI skills the sales team uses every week. - First 6 months: A governed content hub and call library are live and adopted, enablement reporting is in place, and a growing library of AI tools is measurably saving time for reps and managers. - First year: Enablement operations is a scalable function with clear standards, and you're ready to lead it as the team grows.

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: 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: London Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. At Checkout.com http://Checkout.com, we create marketing that moves people to choose our products, builds a brand where great marketers want to work, and fuels the growth of our business. We’re looking for a GTM Engineer to join Marketing and help transform how we work internally. You’ll design and build AI-assisted workflows, agents and integrations that reduce manual effort, improve how information moves across the team and give marketers more time to focus on high-value work. Marketing Operations Team owns our marketing technology and tools, and the automation that supports go-to-market execution across our channels. This role works alongside Marketing Operations, with a different starting focus: improving the internal processes, workflows and systems that help Marketing plan and deliver its work. The aim is to 10x our impact. This is a hands-on technical role in a marketing team. You’ll spend around 70% of your time building: understanding how work gets done, finding where it is manual or breaking down, and shipping practical solutions. You’ll partner closely with Marketing Operations to make sure what you build fits our existing tools and standards. You’ll work across Marketing, in close partnerships across Marketing Operations, Commercial AI Transformation and the AI Centre of Excellence. You’ll bring a clear technical point of view on what is scalable and reliable, while making sure the systems you build are useful to the people who need them. HOW YOU’LL MAKE AN IMPACT FIND THE PROBLEMS WORTH SOLVING Work with teams across Marketing to understand their processes and the work behind their requests. Map workflows, identify manual effort, duplicated work, missing context and avoidable errors, then prioritise opportunities based on their potential value. You’ll use your creativity and judgement rather than simply build to a ticket. BUILD AI-ASSISTED WORKFLOWS AND INTEGRATIONS Create and ship agents, automations, skills and integrations that make internal marketing work easier. You might use Claude Enterprise, Copilot Studio, Clay, MCP connectors, coding agents or other tools across our marketing stack. Work with Marketing Operations when a solution involves our marketing technology or channel tools. MAKE INTERNAL MARKETING WORK MORE EFFICIENT Build workflows that help teams do the work behind marketing more efficiently, from briefing, research and insight gathering to planning, content development and hand-offs. Connect information and tools so people spend less time on repetitive coordination and more time on work that needs their expertise. Partner with Marketing Operations where workflows touch marketing technology or channel execution. BUILD SYSTEMS PEOPLE CAN RELY ON Design beyond the individual task. Consider the data, context, tools, users, hand-offs, controls and feedback loops a workflow needs to work well. Identify where information is missing, where an agent needs better direction or where teams need support to use and improve the system. HELP MARKETERS BUILD WITH AI Work alongside marketers to show what is possible and help them use AI with confidence. Create reusable patterns, skills, playbooks and guardrails so teams can solve more problems themselves and repeat good practice. TEST, LEARN AND IMPROVE Prototype and test workflows, learn from how people use them, and improve or retire them based on the results. Identify design, security, privacy, brand and scale risks early, and follow our AI governance and review processes. KEEP UP WITH THE TOOLS Stay curious about new models, coding tools, connectors and agent patterns. Be able to explain which tools are right for a particular job and why, whether you’re comparing Claude, ChatGPT, coding agents or emerging platforms. WHAT WE’RE LOOKING FOR YOU BUILD THINGS You’ve made working automations, prototypes, integrations, agents, internal tools or products, and enjoy taking a messy problem through to something people can use. Your job title matters less than what you’ve built and the value it creates. YOU USE AI HANDS-ON You use LLMs to get work done, not just to talk about what they could do. You’re comfortable prototyping with AI coding tools, testing different approaches, debugging and improving the result. You can show us something you’ve built with Claude, Codex, ChatGPT or another LLM platform, at work or in your own time. YOU HAVE SOUND TECHNICAL JUDGEMENT You can reason about systems, APIs, data flows, permissions and failure modes. You understand the difference between a promising demo and a dependable workflow. You don’t need a traditional software engineering background, but you do need to be comfortable working directly with technical tools and making sensible implementation choices. YOU UNDERSTAND MARKETING AND GTM You understand how demand generation, growth, customer marketing, marketing operations, sales and revenue processes connect. You’re familiar with concepts such as campaign briefs, segmentation, ABM, lead scoring, MQLs, MQAs, pipeline, attribution and lifecycle stages. You’re interested in the business outcomes behind the work. YOU’VE WORKED ACROSS MARKETING OR REVOPS TOOLS You’ve built or supported workflows across platforms such as Salesforce, HubSpot, Asana, Clay or similar tools. You can think across a stack rather than optimise one tool in isolation, and you’re comfortable with connectors, APIs, webhooks or MCP-style integrations. YOU KNOW HOW TO DESIGN USEFUL WORKFLOWS AND AGENTS You can give a workflow the context it needs, choose the right tools, define hand-offs, involve people at the right points and make outputs easy to review. You understand that an agent’s performance depends on its data and operating environment as well as the model. YOU PRIORITISE FOR VALUE You can judge which problems are worth solving, which should remain manual and where a simpler answer will work better. You balance speed, quality, risk, maintainability and commercial impact, and can make a clear case for what to build next. YOU MEASURE AND IMPROVE YOUR WORK You’re comfortable defining success measures, tracking usage and output, and deciding what to improve, stop or scale. You care about measurable gains in productivity, quality, speed or business impact. YOU THINK IN SYSTEMS You look for the process behind the immediate pain point. When a spreadsheet is difficult to use, for example, you’re curious about the data, decisions and hand-offs that created it, and what would make the process work better. You can hold the bigger picture while working through the details needed to ship. YOU COMMUNICATE CLEARLY AND BRING PEOPLE WITH YOU You can explain technical ideas to marketers, commercial leaders, Product, Engineering, Security, IT and Operations in a way that helps them make decisions. You listen well, communicate simply and influence through your work and judgement. YOU’RE CURIOUS AND SELF-STARTING You’re comfortable with ambiguity and motivated to learn. You’ve taught yourself new tools, built something outside your formal remit or pursued a technical interest in your own time. A personal project, prototype, automation, community contribution or other example could show us how you learn. YOU USE AI RESPONSIBLY You understand that marketing systems need to be accurate, secure, explainable and aligned with our brand and company standards. You know when people need to review an output, when data should not be used and when an experiment is not ready to scale. You might come from marketing technology, marketing operations, growth engineering, RevOps, automation engineering, product, full-stack engineering or another technical role close to commercial teams. What matters most is your curiosity about marketing, your judgement about what is worth improving and your ability to build practical solutions. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: New Jersey; New York; Connecticut Workplace: remote About the role: At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production — then you watch the business number move. We’re an Anthropic and AWS Partner with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA. Why Provectus Frontier access — Anthropic Preferred Partner: newest Claude models, real budgets, real problems. Real tasks (not scope), real deployment. You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive. Embedded, not engaged. You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented. Autonomous. You own the work from framing through to production, visible to clients and founders.  You own the method; nobody hands you a ticket. Your experience stays portable. Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack. Craft & growth — build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name. We give you a stage: Claude certification, conference talks, open-source contributions, published work under your own name. What we look for: Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way. Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly. Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why. Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits. Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room. Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job. Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses). Nice to have Containers and orchestration (Kubernetes/ECS) and CI/CD in production. IaC depth: AWS CDK, CloudFormation, Terraform. Open-source contributions or public writing on applied AI. What you’ll do: Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it. Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously. You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it. Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare. Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice. What We Offer: Full-time. On-site visits to client’s facilities and our office in NYC 1/week Unlimited Vacation policy. Generous health, vision, and dental insurance. 401(K) matching plan. Base salary $200-250k + bonuses; OTE up to $300k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data. We’re real: A person reads your application. We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team. We may ask for a quick ID verification. Fraudulent applications are common, and this protects real candidates. You’ll meet the people you’d work with. We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO. How we hire: Recruitment interview. Tech interview with our FDE (30 min). A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked. Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows. 4. Soft skills interview. 5. Offer discussion.

Ищут Junior/Middle Data Miner, который будет вести задачи от гипотезы до внедрения на прод, автоматизировать аналитические задачи с помощью агентов. Стек: продвинутый уровень SQL, Python(Pandas, sklearn), ML.

Location: Москва Разрабатываем и сопровождаем AI-агентов для автоматизации бизнес-процессов Центра Управления Наличным Денежным Обращением: работу с корпоративными данными, аналитические сценарии и интеграции с внутренними системами. Ищем Python-разработчика с практическим опытом создания AI-агентов и мультиагентных решений. Обязанности * разрабатывать AI-агентов и мультиагентные сценарии на Python (LangGraph, LangChain) * реализовывать память агентов, управление состоянием, историей диалогов и контекстом между сессиями * создавать RAG-системы и интеграции с корпоративными источниками данных * настраивать Tool Calling, Structured Outputs, маршрутизацию задач и оркестрацию агентов * интегрировать решения с REST API, Kafka, базами данных и внешними сервисами * тестировать, оптимизировать и сопровождать агентов в промышленной среде. Требования * Python: коммерческая разработка от 2 лет; FastAPI, asyncio, SQL, Git, Docker; понимание CI/CD * практический опыт разработки AI-агентов на LangGraph/LangChain или аналогичных фреймворках; работа с LLM API, промптами, Tool/Function Calling и Structured Outputs * опыт создания мультиагентных систем: распределение ролей, оркестрация, передача задач и управление состоянием; знание MCP и A2A * опыт реализации краткосрочной и долгосрочной памяти, хранения истории взаимодействий и управления контекстом (PostgreSQL, Redis или аналоги) * опыт построения RAG: чанкинг, эмбеддинги, поиск, реранжирование; работа с векторными хранилищами (Qdrant, pgvector, FAISS или аналоги) * опыт интеграции с REST API и Kafka, понимание обработки ошибок и отказоустойчивости * навыки тестирования и оценки качества ответов агентов, логирования и мониторинга * знание методов защиты от Prompt Injection, принципов разграничения доступа и безопасного вызова инструментов БУДЕТ ПЛЮСОМ * Langfuse, LangSmith или другие инструменты трассировки и оценки качества * gRPC, WebSocket, Kubernetes * опыт построения автоматизированных проверок качества AI-агентов. Условия * комфортный современный офис (Волгоградский пр.) офисный режим работы * ежегодный пересмотр зарплаты, годовую премию * корпоративный спортзал и зоны отдыха * уникальную систему обучения Сбера для профессионального и карьерного развития * расширенный ДМС и льготное страхование для семьи * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера * корпоративную пенсионную программу

Location: Worldwide; Serbia; Spain; Poland; Georgia Social Discovery Group (SDG) is a group of social discovery companies. SDG solves the problems of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG’s products redefine the way people interact and connect with one another. Our portfolio includes social entertainment platforms designed to connect people online across different cultures and regions of the world. We bring together a team of like-minded people and IT professionals who specialize in creating and developing globally impactful social discovery products. Our international team of digital nomads works remotely from all over the world. We’re proud to be a two-time “Great Place to Work” winner (USA & Japan, 2024–2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025). We are looking for a Product Owner (Customer Experience). In this role, you will own the end-to-end customer journey across our products, from the first visit to meaningful long-term connections. Your mission is to find the biggest growth opportunities in a product used by a million-strong audience, remove whatever stands between users and a great experience, and turn every improvement into measurable business results. Your main tasks will be: Own the customer journey end-to-end, from registration to quality conversations, identifying friction points and growth opportunities across the whole funnel. Dig into data yourself: explore analytics with AI tools (e.g., querying BigQuery via MCP), validate insights, and turn them into strong, evidence-backed hypotheses. Write concise product briefs and drive ideas through specs, prototyping, and release together with developers, analysts, and designers. Build and prioritize the backlog based on the value each initiative brings to users and the business. Connect every initiative to business impact (revenue, net profit) rather than isolated conversion gains. Scale successful experiments across our product portfolio. We expect from you: Experience as a Product Owner, Product Manager, Project Manager, or Team Lead in B2C products; startup experience is welcome. A hands-on approach: you do the analysis, write the briefs, and push ideas through to results yourself. Practical experience using AI tools for product analytics and documentation. Strong command of product metrics and funnel analytics, combined with a solid understanding of unit economics. Track record of owning a business metric (revenue, turnover, net profit), not only conversion rates. Strong prioritization skills and comfort working with a broad scope. Persistence and drive to achieve results in challenging conditions. A technical background (degree in a technical field or previous development experience) is a strong plus. Why join: Real influence on the user experience of a product with a million-strong audience. Freedom to improve anything along the customer journey, from small UX fixes to bold product changes. A role for people who want challenging problems and a fast path to growth. What do we offer: REMOTE OPPORTUNITY to work full-time; The initial pay level or pay range for this role will be shared with candidates during the recruitment process and before the commencement of employment; Vacation 28 calendar days per year; 7 wellness days per year (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave; Bonuses up to $5000 for recommending successful applicants for positions in the company; 50% payment for professional training, international conferences, and meetings; Corporate discount for English lessons; Health benefits. According to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $1,000 gross per year per employee. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children); Workplace organization. The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years; Internal gamified gratitude system: receive bonuses from colleagues and exchange them for our merchandise, team building activities, massage certificates, etc. Sounds good? Join us now!

X-FLOW is a mobile game development company established in 2018. We gained recognition after the release of Happy Color , the most popular digital coloring book and one of the most successful ad-driven mobile apps in the world. We’re looking for an IT Operations Specialist to own our corporate SaaS ecosystem: keeping it reliable, secure, and cost-efficient. You’ll work closely with Engineering, QA, Support, BI, Legal, and Finance. What You’ll Do: Administer and automate our tools: Manage Jira and Confluence: spaces, workflows, permission and notification schemes, custom fields, and Jira Automation. Administer Zendesk for Support: triggers, routing rules, macros, and integrations with internal backend services and APIs. Manage repositories and CI/CD (GitLab, Bitbucket, etc.): access keys, permissions, forks, and integrations with task trackers. Integrate and configure other corporate software. Own access and security: Run automated onboarding and offboarding, and audit inactive accounts. Apply least-privilege principles when assigning roles. Generate, track, and rotate tokens, API keys, and service accounts. Administer infrastructure security tools and contribute to the IT Security Policy, Incident Management Plan, and IT Risk Plan. Explain security rules to employees in plain language and run initial onboarding on corporate services. Govern AI tools: Support the rollout of AI assistants (Cursor, Claude Code, Codex, MCP, and plugins) across company workflows. Monitor token usage and quotas, and define rules that prevent leaks of data and proprietary code. Manage vendors, platforms, and costs: Manage developer accounts in App Store Connect, Google Play Console, and Amazon App Store, including verifications and policy violations. Handle SaaS payments: compliance checks, invoices, and subscriptions. Maintain the approved software registry and allocate costs to projects with Accounting. Negotiate with vendors on pricing and license plans, carefully reviewing contracts, offers, and license agreements. What We’re Looking For: 2–3+ years as an IT Operations Specialist, Corporate Systems Administrator, SysOps, or similar. Hands-on experience with centralized SaaS administration, IAM, and workflow automation. Deep knowledge of Jira and Confluence; experience with Zendesk and its API integrations. Confident repository and CI/CD administration (GitLab, Bitbucket, or similar). Experience building onboarding/offboarding processes and managing secrets securely. Experience administering infrastructure security tools and basic knowledge of InfoSec standards. Understanding of AI assistants and MCP in development workflows. Experience with app store developer accounts and with financial and tax procedures for SaaS payments. Strong troubleshooting skills and the ability to stay focused under pressure. Systems thinking and attention to detail, especially with legal documents. Experience collaborating with cross-functional teams. English: Upper-Intermediate (B2) or higher. Nice to Have: Experience with SSO / identity providers (Okta, Google Workspace, Azure AD). Scripting skills (Python, Bash) for automation. Experience with MDM or device management. Experience with FinOps or SaaS spend-management tools. What We Offer: Competitive salary and benefits package. Opportunity to work with a talented and passionate team in a creative and dynamic environment. Flexible working hours and remote/office work options. Career growth and professional development opportunities. A fun and inclusive company culture that celebrates diversity and creativity. Join us and let’s create great content together! When you apply for this role, we process your personal data in accordance with our Candidate Privacy Notice ( https://xflowgames.com/candidate-privacy-notice ).

Location: Kyiv, Ukraine; Lviv, Ukraine New opportunities in Ukraine! 🟢 Dev.Pro is a US-based software development company helping tech companies build their products and grow their business. We’re remote-first, and we work with independent contractors in over 55 countries, so you’d be collaborating in a multicultural environment on some really interesting projects. We invite a Senior QA Engineer to join our team and help evolve a large-scale blockchain-based platform for private markets. In this role, you’ll own end-to-end quality assurance, combining hands-on manual testing with building and expanding test automation across backend services, distributed systems, and blockchain integrations. You'll help establish testing approaches and automation practices from the ground up, working closely with engineering teams and business stakeholders to ensure reliable, high-quality releases. 🟩 What's in it for you: Work on an innovative blockchain platform designed to bring trust and transparency to private markets Deepen your expertise in blockchain systems, distributed architectures, and complex integrations Drive the development of test automation frameworks and help shape quality practices across multiple projects ✅ Is that you? 5+ years in QA/SDET roles, covering both manual and automated testing across the full SDLC Strong experience with backend and non-UI test automation Hands-on experience developing, maintaining, and debugging automated tests Strong programming skills for test automation, preferably with TypeScript/Node.js Ability to define QA strategies, test plans, and quality gates from the ground up Understanding of blockchain fundamentals, including wallets, transactions, and blockchain types Experience testing REST APIs and RPC-based interfaces (JSON-RPC, gRPC) Experience with Docker-based test environments and debugging containerized services Experience integrating automated tests into CI/CD pipelines and establishing quality gates Experience with AWS-based infrastructure Experience with MongoDB or PostgreSQL Strong analytical and problem-solving skills to identify risks and propose solutions Ability to independently manage testing activities, take ownership of deliverables, and proactively communicate progress and blockers Ability to adapt to changing priorities and demonstrate a flexible, hands-on approach to testing Ability to define testing scope and balance test coverage between QA and engineering teams Strong communication and collaboration skills across multiple stakeholders and teams Upper-Intermediate+ English level Desirable: Hands-on experience testing blockchain systems, smart contracts, and transaction flows Experience with Go for test automation EVM testing experience using Foundry, Hardhat, or similar frameworks Ability to read and understand Solidity or Rust code for smart contract validation Experience with Layer 2 solutions and blockchain protocol testing Experience testing asynchronous messaging systems (AWS SNS/SQS, Azure Service Bus) Experience with Kubernetes Experience with observability-driven testing Experience testing MCP servers Experience with performance and load testing 🧩 Key responsibilities and your contribution In this role, you'll lead testing activities across blockchain-based applications, from requirements analysis and manual validation to test automation and release support. Review business requirements and technical documentation to understand system functionality and identify testing needs Manually test new features and existing functionality to understand system behavior and guide test automation efforts Define and improve QA strategies, test plans, and quality gates Establish testing ownership and coordinate responsibilities between QA and engineering teams Work closely with engineering and product teams to define test coverage and acceptance criteria Build and maintain automated test suites, frameworks, and test harnesses, focusing on backend, integration, and contract testing Test blockchain integrations, smart contracts, REST APIs, JSON-RPC endpoints, MCP servers, and other blockchain-specific functionality Integrate and monitor automated tests within CI/CD pipelines and quality gates Investigate and troubleshoot issues across distributed systems and blockchain integrations Adjust testing priorities and approaches as project needs evolve Maintain test documentation, report quality risks, and communicate testing progress and blockers Help expand automation coverage and improve QA practices across multiple projects Our next steps: ✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Interview — ✅ Signing the Contract Interested? Find out more: 📋 How to Join Us 💻 LinkedIn Page 📈 Our website 💻 IG Page By submitting application, I've read and agree to the Dev.Pro Private Policy and Consent on Processing of Personal Data . I agree to have my Personal Data being stored and processed by Dev.Pro.

Location: Remote Workplace: Remote ABOUT BUFFER We create social media and brand-building software for small businesses, creators, and individuals. Our mission is to provide essential tools to help small businesses get off the ground and grow. Through exceptional customer service and uplifting content, we help our customers believe they can succeed and do good along the way. Buffer is a fully distributed team, and we’ve always aimed to do things a little differently. Since the early days, we’ve focused on building one of the most unique and fulfilling workplaces by rethinking a lot of traditional practices. We also default to transparency, so you can read all about our metrics, and our successes and failures along the way on our Transparency Dashboard https://buffer.com/open. We're united by Buffer's values https://buffer.com/about#values, and we hire and work from all over the world. We strive to create a diverse and inclusive work environment, and we are building a culture where underrepresented groups are welcome and can flourish. Please note that we do travel to work together in person once or twice per year, and those events are highly encouraged to build deeper connections among our small team. As you get to know Buffer and consider joining the journey, you can learn more about Buffer on our Journey https://buffer.com/journey page. Still curious to learn more about the experience on the Buffer team? Feel free to read more from Kirsti https://buffer.com/resources/first-30-days-buffer/ and Sabreen https://buffer.com/resources/joined-3-days-before-the-retreat/ as they share their first experiences with Buffer, as well as from Hailley https://buffer.com/resources/8-years-at-buffer/, who captured why she still calls Buffer home after 8+ years. While unusual at Buffer, we're looking for folks in a specific timezone range. This role is currently open to candidates based between UTC-3 and UTC+3. That gives you overlap with our current security engineer in Sri Lanka and most of our Engineering team, and lets the two of you share incident coverage so neither of you has to work through the night. ABOUT THE ROLE We're hiring a hands-on security engineer to be the tech lead for Buffer's Security team. You'll work alongside Adnan https://www.linkedin.com/in/adnanissadeen/, who has carried security at Buffer for years. Together, you’ll own security and compliance for a 15-year-old profitable company that is rebuilding itself around AI. Two things make this the right moment. Buffer’s product surface is growing: in May, we launched a public GraphQL API with an MCP server and CLI. More than 35,000 organizations have connected an AI tool to Buffer, and we are planning to build a plugin ecosystem on top. Internally, we're becoming an AI-native organization: MCPs on our Claude Team plan, custom connectors, internal tools, and Roo, our own internal agent. We're small and lean, with few processes, and we run on trust around access and permissions. We don't want to lose that, but the surface now grows faster than one person can cover. That means the usual security playbook won't work here. We don't buy enterprise plans for every tool, and we don't make people justify every access request. You’ll make the secure path the easy path to follow. Your role will be to set the direction for security at Buffer and to do much of the work yourself. You'll decide which open security problems to address first, write code to fix some of them, and lead incidents when they happen. We're looking for an enabler and a team player, not a gatekeeper. This is a generalist role by design. WHO YOU’LL WORK WITH You’ll report to Miguel, https://www.linkedin.com/in/migueldavid/ Engineering Manager for the Infrastructure and Security teams. Day-to-day, the Security team is you, Adnan, and Miguel. Adnan knows how everything at Buffer fits together and where the sharp edges are. Together, you’ll own planned security work as well as the work that keeps the lights on: the security inbox, requests from other teams, maintenance, and chores. You’ll lead the team’s direction and standards. You will also work closely with product engineering teams to ensure that what we build meets a strong security bar. That means collaborating on tech spec reviews and growing the group of security champions across the teams. Your peers from our Advocacy (customer support) and People teams will rely on you to support them with security and compliance needs that come up in their work, from customer security questions to vendor reviews and policy. WHAT YOU’LL BE WORKING ON - 🧭 Lead security at Buffer. Define the strategy and roadmap, set priorities, drive execution, and change how we work where it matters. If you see a problem outside your lane, say so and drive the fix. - 🧰 Build. Identify the problem, define the solution, then build it with Adnan: tooling, automation, processes. - 🔁 Put security in the development loop. Check on every PR, threat modeling in tech specs, dependency, secrets, and supply chain hygiene, and review steps that hold up as more of our code is written with AI agents. - 🔐 Advance operational security. Secure our day-to-day operations to meet industry-wide standards while maintaining the flexibility afforded by Buffer’s high-trust environment. - 💡 Keep the lights on. Security inbox, requests from other teams, maintenance and chores, shared with Adnan. Much of this is manual today, and we’d love you to automate what you can. - 🚨 Lead incidents and take part in our engineering-wide on-call rotation. Set the standard for how we run a security incident, then hold the team to it. Run tabletops with the rest of Engineering, and ensure the gaps are fixed. - 🤖 Secure the AI surface. Threat-model what we’re building, from agents with tool access to connectors and in-product AI, and set guardrails so Buffer can move fast on AI without guessing. - 🐛 Run vulnerability disclosure. Triage reports from outside researchers, fix or route the real ones, and decide how the program grows. - 🤝 Own compliance and customer trust. SOC 2 and Meta platform compliance are the big ones today. We want them to make Buffer safer, not only to pass audits, but also to automate evidence where you can. Security questionnaires reach us through Advocacy. Help answer them, and build what lets customers find answers on their own (a Trust Center, for example). HELPFUL SKILLS AND EXPERIENCE - You’ve been the senior security person somewhere without a CISO above you. You know what it means to set direction without a mandate and earn it through work. - You have hands-on application and API security depth in a multi-tenant SaaS, ideally one with a public API: authorization models, OAuth and OIDC, session and auth flows, IDOR and SSRF, and threat modeling. You've found these bugs and fixed them, not only reported them. - You write code. You can read and change a TypeScript codebase well enough to ship a fix and review someone else’s (legacy PHP and Python show up more rarely, too). - You’ve led security incidents end-to-end, including the writing of status updates, customer comms, and postmortems that people act on. - You’ve worked with AWS, Kubernetes, and Cloudflare, or similar, enough to reason about infrastructure risk with an infrastructure team. You don’t need to run it. - You’ve run a SOC 2 or similar program, or worked closely with one, and you’d rather automate evidence collection than do it by hand. - You've run or triaged a vulnerability disclosure or bug bounty program, and you can tell a real report from noise quickly. - You have strong opinions, and you can hold them loosely. You are comfortable disagreeing with a senior engineer’s design, and working together to find the best solution (sometimes changing your mind when their argument is better). - You’re fluent with modern AI tools, and you use them to multiply your output and your team’s. You’ve thought hard about securing systems that use them. - You thrive in remote, async environments, and you follow through. You're clear in your thinking and generous with context, and you close the loop on what you commit to. Most of your influence here will be written. - Bonus points if you’re already a Buffer user or familiar with social media management tools. OUR TECH STACK - Product. Node.js (TypeScript) across most services in a monorepo, backed by MongoDB; a REST API and PHP being retired for legacy services. iOS and Android apps. A public GraphQL API, MCP server, CLI, and connectors. - Infrastructure. AWS (EKS, IAM, SQS, S3, CloudFront), Terraform, ArgoCD, GitHub Actions, Cloudflare (WAF, Zero Trust, Workers, DNS). - Security and compliance. Vanta for SOC 2, Dependabot, gitleaks, AWS GuardDuty, Cloudflare WAF and Zero Trust, Action1 for device management, 1Password, and Google Workspace as the identity layer. - Observability and incidents. Datadog, Sentry, incident.io http://incident.io, and PagerDuty. - AI. Claude Team across the company, internal agents and MCP servers built in-house, in-product AI features. APPLY FOR THE JOB Do you believe you're a fit for this role and want to join the Buffer team? We'd love to hear about you! Here's what our hiring process looks like: 1. Application. A short form with your CV, LinkedIn, a few yes/no questions, and an example of your writing. 2. Questionnaire. If there’s a match, we’ll email you a short set of questions to learn a bit more about you! 3. Interview process: Meet with several teammates across a few Zoom calls, starting with Miguel https://www.linkedin.com/in/migueldavid/, Engineering Manager for Infrastructure and Security, and the hiring manager for this role, and then a handful of other Buffer teammates and peers. 4. Take-home exercise. During our interview process, we'll ask you to do an asynchronous task so we can see your work in practice and discuss it live. 5. Meet the CEO. Get to know Joel https://www.linkedin.com/in/joelgascoigne/, our Founder CEO. 6. Collaboration period. Two paid days working with the team on a real project, so that we can each see what it's like to work together. PRIVACY POLICY By submitting the application, you consent to Buffer collecting and processing your personal data for recruiting purposes. Find more details in our Privacy Policy https://buffer.notion.site/Privacy-Policy-for-Applicants-230a7f5a00fd80e48478f09171d18a24?pvs=143.

Location: Chicago Customers are no longer asking whether AI works—they’re asking what it will change about how they operate. As an AI Success Architect, you’ll help enterprise customers answer that question and turn Asana’s AI capabilities into measurable business results. You’ll own the post-sales relationship for a portfolio of ~50 enterprise accounts, acting as a strategic advisor with accountability for AI adoption, consumption, and commercial outcomes. In this advisory role, you’ll diagnose where AI changes how work gets done and guide the organizational change that makes it stick. This role can either be fully remote depending on which US state you live in, or based in our Chicago office with an office-centric hybrid schedule . If based in-office: The standard in-office days are Monday, Tuesday, and Thursday . Most Asanas have the option to work from home on Wednesdays . Working from home on Fridays depends on the type of work you do and the teams with which you partner . If you're interviewing for this role, your recruiter will share more about the in-office requirements . What you’ll achieve Serve as the trusted advisor and point of accountability for a portfolio of enterprise accounts across the customer lifecycle. Build joint success plans that connect strategic customer goals to measurable results, leading business reviews focused on outcomes and value rather than just usage. Diagnose customer workflows and map them to Asana’s AI capabilities (AI Studio, AI Teammates, and integrations built on the Model Context Protocol, or MCP) to replace manual effort and accelerate decision-making. Assess how customers structure their work in Asana, guiding them to establish habits and governance that supply AI models with rich, consistent context. Lead change management and enablement programs that build internal champions and ensure long-term, sustained adoption. Track AI consumption and adoption against clear baselines and 30/60/90-day benchmarks, translating usage data into a compelling business story. Identify expansion readiness for new AI use cases, products, or broader deployments, initiating conversations and partnering with the account team once validated. Monitor account health, engagement, and sentiment to proactively mitigate risks well ahead of renewals. Partner cross-functionally with Solutions Engineering, Professional Services, and Sales, while sharing structured customer insights with Product and Customer Success leadership. About you Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. 5+ years of experience in customer success, strategic account management, or enterprise technology, with a track record of driving delivery and adoption for complex, high-value accounts. Proven background managing enterprise relationships across both technical and business stakeholders. Solid understanding of how AI agents function, workflow automation principles, and where AI provides substantial versus incremental impact. Comfort discussing pricing, ROI, and commercial outcomes with senior executives, ideally within consumption-based models. Strong competency in change management and program management across concurrent, long-term initiatives. Effective communication skills across audiences, from executive presentations to tactical working sessions with operations teams. Ability to navigate fast-paced, ambiguous environments with sound judgment. Willingness to travel up to 20% to customer sites as needed. Expe rience with enterprise AI, automation, or workflow platforms (or familiarity with MCP) is a plus. At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we’ll offer Our comprehens ive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission . We bel ieve that compensation should be reflective of the value you create relative to the market value of your role . To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit . For this role, the estimated base salary range is b etween $116,800 - $148,800 . The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process . The listed range above is a guideline, and the base salary range for this role may be modified . In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits . If you're interviewing for this role, spe ak with your recruiter to learn more about the total compensation and benefits for this role . We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fi tness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations . If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role . #LI-Hybrid About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.