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Job Title: Customer Experience Cloud & AI SME Location: Remote / UAE / Portugal Company: Kompetenza Department: AI & Service Cloud Development Reports To: director R&D About Kompetenza Kompetenza is a Salesforce partner with a Center of Excellence in Portugal. We specialize in Salesforce FlexTeam solutions, Corporate Services Cloud, and Employer of Record (EOR) services. Our mission is to help organizations transform customer experiences through intelligent self-service portals, AI automation, and digital engagement. Role Overview We are looking for a Customer Experience Cloud & AI SME to lead the design, development, and optimization of self-service customer portals while integrating AI-driven automation across both Salesforce and external ecosystems. This role requires expertise in Salesforce Experience Cloud and a strong understanding of AI-driven automation to create seamless self-service solutions, AI-powered agents, and intelligent workflows that enhance customer engagement. The ideal candidate will work closely with clients, internal teams, and stakeholders to drive automation, improve user experience, and mentor organizations on AI adoption. Key Responsibilities 1. Develop & Optimize Self-Service Customer Portals • Design, configure, and enhance customer self-service portals using Salesforce Experience Cloud., • Implement self-service automation and AI-driven workflows to improve customer interactions., • Ensure portals are intuitive, scalable, and personalized with guided service journeys., • Integrate Einstein AI and automation tools for proactive customer support and case resolution. 1. AI-Powered Virtual Agents & Automation • Develop and optimize AI-driven virtual agents within Salesforce and external platforms., • Utilize Einstein AI, NLP, and machine learning to enhance case deflection and automate customer support., • Implement Conversational AI chatbots integrated with Live Chat, WhatsApp, and external messaging platforms., • Ensure AI agents learn from interactions to continuously improve customer responses. 1. Cross-Platform AI Automation & Integration • Work with Salesforce Flow, Omni-Channel Routing, and Process Automation to optimize service operations., • Integrate self-service portals with third-party AI tools, RPA solutions, and external APIs., • Implement AI-powered predictive analytics to personalize customer experiences. 1. Customer Engagement & AI Mentorship • Act as an AI & Experience Cloud SME, guiding clients through their AI and automation journey., • Work directly with customers to understand their challenges and tailor AI/self-service solutions., • Provide training and mentorship to businesses on how to adopt and maximize AI-driven self-service portals., • Gather feedback from end-users to enhance AI models, workflows, and self-service functionalities. 1. Data Intelligence & AI Performance Optimization • Use Salesforce Data Cloud and AI analytics to drive data-backed automation improvements., • Continuously monitor AI agent performance and customer engagement metrics to optimize processes., • Ensure compliance with data security, privacy, and ethical AI practices. 1. AI & Innovation Strategy • Stay ahead of emerging AI and Experience Cloud trends, ensuring cutting-edge solutions., • Work with internal teams to align AI automation with business and customer service objectives., • Evaluate and integrate new AI and automation tools to enhance customer experience. Key Requirements Technical Skills • 2+ years of experience in Salesforce Experience Cloud & Service Cloud (or equivalent self-service portal expertise)., • Hands-on knowledge of Einstein AI, NLP, chatbot development, and automation workflows., • Experience with Salesforce Flow, Omni-Channel Routing, and case automation., • Familiarity with third-party AI, automation, and chatbot platforms outside Salesforce., • Knowledge of API integrations, RPA, and machine learning-driven automation. Soft Skills & Experience • Passionate about customer experience, AI, and digital transformation., • Comfortable working directly with clients, understanding their self-service & AI needs., • Strong problem-solving and analytical skills to build impactful automation solutions., • Excellent communication & presentation skills, able to mentor and train customers., • Ability to learn quickly and stay updated on the latest AI and self-service technologies. Why Join Kompetenza R&D Work on cutting-edge AI & self-service portal Why Join Kompetenza? ✅ Build a lead generation machine from the ground up – an exciting opportunity to create a scalable system. ✅ Work with cutting-edge AI and automation tools to optimize sales outreach. ✅ High earning potential – competitive salary with performance-based commission. ✅ Remote work flexibility with a global team.

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. She will pick the best candidates from Jack's network The next step is to _. Job Title: Forward Deployed Engineer (£60-75k) Salary: £60-75k Company Description: Authsignal Ltd - Fast-growing API-first identity and passwordless authentication startup. Job Description: As the founding EMEA team member, you will bridge the gap between engineering and customer success. You will guide enterprises through complex integrations of passkeys and biometrics while shaping Authsignal’s developer experience. This hands-on role involves building SDKs, creating technical content, and directly influencing product direction for global financial and healthcare customers. Location: Remote, UK Why this role is remarkable: Founding EMEA Presence: You will be the first UK-based hire, owning the region and enjoying high autonomy as the primary technical point of contact for European enterprise clients. Market-Leading Tech: Work with cutting-edge passwordless authentication (FIDO, biometrics, passkeys) at a company recently named a Rising Star in KuppingerCole's 2025 Leadership Compass. High Impact: Sit at the intersection of product and sales, where your technical feedback directly shapes the SDK roadmap and helps major enterprises secure millions of interactions. What you will do: Lead technical integrations for enterprise clients, deploying secure identity solutions into diverse stacks like AWS Cognito, Azure AD B2C, and bespoke environments. Develop and maintain SDKs, client libraries, and sample code while producing scalable developer resources like documentation, blogs, and video walkthroughs. Partner with the sales team to run technical demos and proof-of-concepts, capturing field insights to inform product improvements and reduce integration friction. The ideal candidate: Proven background in solution engineering or systems integration with strong hands-on proficiency in TypeScript/JavaScript and REST/GraphQL APIs. Deep understanding of identity and security domains, specifically MFA, passkeys, or OIDC, with experience navigating complex enterprise software environments. Exceptional communicator who can explain complex technical concepts to customers and has a passion for building developer tools and educational content. Who are Jack & Jill? Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support. And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate. Next steps Step 1. Visit _. Step 2. Click 'Talk to Jack'. Step 3. Talk to Jack so he can understand your experience and ambitions. Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role. Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction. Step 6. If not, Jack will find you excellent alternatives. All for free. We never post fake jobs This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network. Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description. We appreciate this can make them look a bit suspect, but there isn't much we can do about it. Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.

StackOne is the universal integration layer for modern SaaS products. We’ve raised $24m in 2 years, and we’re backed by top tier investors like Google Ventures and Workday Ventures. Our unified API platform lets vendors ship hundreds of native, white label integrations in days, not months, by abstracting away dozens of disparate third party APIs into a single, normalized interface. On top of those APIs, we provide AI Agent Actions so customers can build agentic workflows without wrangling OpenAPI specs. StackOne sits behind the scenes as an embedded iPaaS: SOC 2 compliant, multi-tenant, and invisible to end users powering integrations for future-of-work SaaS categories such as HR, Compliance, and AI Agents. Our customers are established B2B SaaS companies that: Sell to mid market and enterprise buyers Are building AI Agents in the near future Need deep, native integrations to win competitive deals and power their product Value time to integration over building connectors in house We typically close OEM and embedded licensing deals, multi-year (1 to 3 year) contracts, five to seven figure TCV, with a strong land and expand model. Key buyer personas are the CPO and CTO. We are looking for a Software Engineer or Data/AI Scientist with a strong background in AI production-grade applications with strong experience with LLM models (eg: GPT, Anthropic and others). In this role, you will conduct research and development around AI, focusing on automating processes and development at StackOne. We're building a world where users of any SaaS can integrate with the tool of their choice in one click thanks to StackOne. We're convinced AI is pivotal to making this a reality by transforming how SaaS talks to each other and this is what you will help achieve. Research, design, and develop AI models using or training existing or bespoke LLM models (and other AI tech) to improve and automate API & more generally SaaS interactions. Managing and updating Data pipelines used for AI use-cases Collaborate with cross-functional teams to identify opportunities for AI integration and automation Optimize and refine existing AI models and applications for performance and scalability Stay current with advancements in AI and LLM technologies, applying new knowledge to StackOne's AI strategy Implement best practices in AI development, ensuring compliance with data privacy and security regulations Document and communicate research findings and development progress to stakeholders Collaborate with other software & AI engineer(s) to deliver larger scale projects Bachelor's degree in Computer Science, Engineering, or a related field (or 3+ years of relevant experience) Familiarity with API development, integration, and SaaS platforms Past experience with AI, specifically Large Language Models and related technologies Excellent problem-solving and analytical skills Strong communication and collaboration abilities Desire to work in a fast-paced, dynamic startup environment Preferable: You’re familiar with Typescript You’ve deployed or managed infrastructure on AWS You will have a lot of freedom and agency to chose and work with the technologies you love. Our tech stack includes: Infra & monitoring: AWS (ECS, RDS, Elasticache, Lambda etc.), Tinybird, Modal, Dagster, Langsmith, Datadog, Sentry, _ Languages & Frameworks: Typescript (Node.js), NestJS, Rails, React, Svelte, Other day-to-day Tools: Postman, Notion, Slack, Jira, Github and more StackOne is one of the fastest-growing embedded integration platforms. Here’s why: It drives down the cost of building integrations by 10x. To add dozens of integrations, you only need to integrate once with our unified API and we take care of the rest. This is way faster, cheaper, and more reliable than building every integration to each tool one at a time (it can take weeks/months per integration). It has a superior architecture: Unlike other Unified APIs, we developed an innovative, fully real-time architecture that does not store their customers’ sensitive data by default. This enables our customers to differentiate themselves on the market with better integrations: better for privacy, better for their product’s user experience, and deeper read/write integrations. StackOne is a better long-term partner: We are the only integration platform to guarantee new integrations as standard, that offers so many sandboxes to support testing and deploying faster, and that has built a strong partnership ecosystem to enable our customers to develop stronger commercial partnerships. 25 days holiday + 1 additional day holiday per year of tenure Participation in the company’s employee share options plan Private health insurance (including dental & optical) Health, fitness and gift card discounts £1,000 for your home office set up + £500/year top-up Paid lunch in the office Annual team offsite to sunny spots (last ones were in Spain and Portugal ☀️) Join one of Europe’s fastest-growing startups Work with a veteran team of ex-employees of Google, Microsoft, Oracle, Coinbase, JP Morgan and more Cycle2Work and Electric Cars scheme Hybrid work set up - typically 2d in the office Ready to help us change the game for SaaS integrations? Get in touch and let's chat! We believe diversity drives innovation. We encourage individuals from all backgrounds to apply. As an equal-opportunity employer, we celebrate diversity and are committed to creating an inclusive environment for all employees.

Fluent Software Group is part of Valsoft Corporation's family of vertical market software businesses, focused on building specialized, reliable software solutions for targeted industries. We balance product innovation with operational dependability. We operate a portfolio of vertical market software businesses across Europe and North America. We are building an Enterprise Voice AI Agent to power service delivery for one of our Netherlands-based portfolio companies and their clients at scale. We are looking for a Dutch-speaking AI Developer based in Canada to own the ongoing development and scaling of the Enterprise Voice AI Agent — built to serve one of our Netherlands-based portfolio companies and their clients. In this role, you will build and evolve a production voice AI system that processes real customer interactions at enterprise volume. You will work directly with stakeholders at our portfolio company — in Dutch — to gather requirements, refine agent behaviour, and ensure the platform meets the operational needs of their business and their clients. Dutch language proficiency is a hard requirement. You will be the primary technical point of contact for our Dutch-speaking portfolio company, conducting discussions, writing documentation, and communicating updates in Dutch as part of your daily work. Voice Agent Development & Ownership • Own end-to-end development of the Enterprise Voice AI Agent: architecture, features, integrations, and ongoing maintenance, • Build and tune AI voice agent pipelines — including speech recognition, natural language understanding, dialogue management, and text-to-speech, • Develop and maintain the frontend (React/Next.js) and backend (Node.js/Python) components of the platform, • Integrate the voice agent with the portfolio company's existing systems (CRMs, telephony platforms, APIs) and their clients' infrastructure, • Maintain a prioritized backlog and drive features and improvements to production independently Client Collaboration (in Dutch) • Serve as the main technical liaison with the portfolio company — conducting requirements sessions, reviews, and status updates in Dutch, • Translate the portfolio company's business needs into technical specifications and working software, • Write client-facing documentation, release notes, and user guides in Dutch, • Manage expectations proactively and communicate timelines, risks, and decisions clearly Agentic AI & Continuous Improvement • Design and integrate AI agents to automate testing, debugging, performance monitoring, and feature prototyping, • Supervise agentic AI outputs to ensure they align with product goals, code standards, and security requirements, • Continuously improve platform reliability, call handling quality, and voice agent performance, • Apply AI tools to documentation, observability, and operational workflows Success Looks Like • The Enterprise Voice AI Agent handles call volume reliably for our portfolio company, with high containment rates and strong client satisfaction, • Portfolio company stakeholders communicate smoothly with the development team, in Dutch, with minimal friction or delays, • New features and client requirements move from brief to production rapidly and predictably, • The platform scales cleanly to support additional clients across the portfolio, • Agentic AI workflows are a standard part of the development and QA process Required • Professional Dutch language proficiency — written and spoken (this is a non-negotiable requirement), • 1–3 years of professional software development experience, or equivalent strong project-based work, • Strong proficiency in TypeScript and modern JavaScript, • Experience building production applications with React and Next.js (routing, SSR/SSG, API routes, data fetching), • Backend experience with Node.js and/or Python (REST APIs, authentication, third-party integrations), • Working knowledge of databases (PostgreSQL, MySQL, or MongoDB), including schema design and querying, • Familiarity with testing practices and frameworks (Jest, Playwright, or Cypress), • Comfortable with Git, pull requests, code reviews, and collaborative development workflows, • Solid understanding of web fundamentals: HTTP, authentication, caching, security, and performance, • Interest in and basic experience with AI-assisted or agentic development workflows Preferred • Experience working with voice AI platforms, telephony APIs, or conversational AI systems (e.g., Twilio, Vocode, Deepgram, ElevenLabs, Rasa), • Experience with LLM integration and prompt engineering in production systems, • Experience designing, building, or supervising agentic AI tools in a software development context, • Experience deploying and operating apps on cloud platforms (Vercel, AWS, GCP, Azure, or Docker), • Experience with CI/CD pipelines, logging, monitoring, and automated testing, • Familiarity with the Dutch business and enterprise software landscape We are a small, product-focused team that ships frequently and iterates fast. Our environment is lightweight, collaborative, and supportive, with direct communication and minimal process. You will have real ownership of outcomes and a direct line to stakeholders. This role is ideal for a developer who is energized by building something new, working closely with an enterprise client, and exploring the frontier of voice AI — while maintaining the quality and reliability that production systems demand.

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. She will pick the best candidates from Jack's network The next step is to _. Job Title: Full Stack Engineer Salary: £60k-£80k + Equity Company Description: Lichen AI - Early-stage agentic platform for AI discovery Job Description: As the first full-time engineer, you will transform a working prototype into a production-grade enterprise SaaS. You'll build robust backends, design intuitive interfaces for complex AI outputs, and establish foundational engineering practices. Working directly with an expert founding team, you'll ensure the platform is secure, reliable, and ready for global enterprise customers. Location: Cambridge, UK Why this role is remarkable: Join as the first founding engineer with a significant equity stake and a clear path to technical leadership as the company scales. Work alongside a world-class founding team including the former Chair of the UK Government’s AI Council and Amazon Alexa's speech recognition lead. Build a mission-driven platform that uses agentic AI to amplify human insight rather than replacing it, solving a critical adoption gap for enterprise clients. What you will do: Transition a high-potential prototype to a production-grade platform by building secure, scalable backend systems and automated deployment pipelines. Lead the end-to-end development of the user interface, making complex AI-generated insights legible and actionable for non-technical business users. Implement enterprise-grade security and compliance standards including ISO 27001 and GDPR to ensure safe handling of sensitive client data. The ideal candidate: Has 3-8 years of experience shipping production web applications using modern JavaScript/TypeScript (React) and Python (FastAPI). Demonstrates strong proficiency in cloud infrastructure, specifically AWS, and designing robust database structures and data pipelines. Thrives in a small, fast-paced startup environment and possesses a genuine interest in human-centered AI that enhances domain expertise. Who are Jack & Jill? Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support. And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate. Next steps Step 1. Visit _. Step 2. Click 'Talk to Jack'. Step 3. Talk to Jack so he can understand your experience and ambitions. Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role. Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction. Step 6. If not, Jack will find you excellent alternatives. All for free. We never post fake jobs This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network. Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description. We appreciate this can make them look a bit suspect, but there isn't much we can do about it. Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.

The Opportunity Flosum is looking for a visionary Senior Product Manager who lives and breathes the Salesforce ecosystem and wants to shape the future of how the world's largest enterprises build, secure, and scale on Salesforce. This is not a maintenance role. You will own the product roadmap for the only 100% Salesforce-native DevSecOps, Data Protection, and Security platform trusted by Fortune 100 companies, global brands like Hilton, Cargill, Barry Callebaut, Cushman & Wakefield, and AARP. You will work directly with the CEO and engineering leadership to define and ship products that create entirely new categories within the Salesforce ecosystem. We are at an inflection point. AI-driven DevOps (powered by Agentforce), agent-aware governance, zero-trust security orchestration, and intelligent data lifecycle management are transforming the Salesforce landscape. We need a product leader who sees around corners, understands where this space is heading, and has the conviction and execution chops to get us there first. About Flosum Flosum is the only enterprise-grade DevOps, Data Backup & Archive, Trust Center, and Data Seeding platform built 100% native on the Salesforce platform. As a Salesforce Summit Partner and the only native solution certified by Salesforce, we operate within the Salesforce trust boundary, which means zero data exposure, no third-party cloud processing, and full compliance with Salesforce security standards. Our customers are among the most demanding in the world: Fortune 500 enterprises in regulated industries (financial services, healthcare, government, life sciences) who require SOX compliance, zero-trust architecture, and audit-grade governance. We compete against Copado, Gearset, AutoRABIT, and Salto, and we win because our native architecture delivers security, speed, and extensibility that external tools simply cannot match. We recently integrated Salesforce Agentforce into our platform, making Flosum the first and only Salesforce-native AI DevOps solution. This is just the beginning of what we plan to build. What You Will Own Product Vision & Strategy • Define and drive the multi-year product roadmap across Flosum's five product lines: DevOps, Backup & Archive, Trust Center, Data Seeding, and DevOps for Veeva., • Identify whitespace opportunities in the Salesforce ecosystem where Flosum can create new categories or capture market share from competitors., • Translate deep Salesforce platform knowledge (metadata architecture, deployment models, Agentforce, Data Cloud, multi-org environments) into product capabilities that enterprise customers will pay premium prices for., • Stay ahead of Salesforce's own product direction (three releases per year) and position Flosum to capitalize on every platform shift. AI & Innovation • Lead the next wave of AI-powered DevOps capabilities built on Agentforce, including intelligent deployment agents, AI-driven code review, automated security scanning, and predictive release management., • Define how Flosum's extensibility platform enables customers to build custom AI-driven workflows within Salesforce's trust boundary., • Pioneer agent-aware governance: preparing Salesforce governance frameworks for autonomous systems and AI agents. Customer & Market Insight • Engage directly with Fortune 500 customers and prospects to deeply understand their pain points around Salesforce development, security, compliance, and data management., • Translate complex enterprise requirements (SOX, zero-trust, multi-org, regulated industries) into elegant product solutions., • Partner with Sales and Customer Success to influence deal strategy, conduct product demos for strategic accounts, and close competitive evaluations. Execution & Delivery • Write detailed product requirements, user stories, and acceptance criteria. You do the work, not just delegate it., • Partner with engineering to deliver on aggressive timelines. Own sprint planning, backlog prioritization, and release coordination., • Define and track product KPIs: adoption, activation, expansion, NPS, competitive win rates. Who You Are We are looking for a missionary, not a mercenary. Someone who takes genuine ownership of outcomes, thinks independently, and is driven by a need to build something that matters, not just advance their career. • 7+ years of product management experience in B2B SaaS, with at least 3 years focused on the Salesforce ecosystem or Salesforce-adjacent platforms., • Deep technical understanding of the Salesforce platform: metadata-driven architecture, deployment pipelines, sandboxes, packaging, security models, Apex, Lightning, and the ISV partner ecosystem., • Proven track record of shipping products that enterprise customers (Fortune 500, regulated industries) adopted and paid for. Not features; products., • Experience with DevOps, CI/CD, release management, or security/compliance tooling is strongly preferred., • You understand the competitive landscape: Copado, Gearset, AutoRABIT, Salto, and native Salesforce DX. You know where each is strong and where they are vulnerable., • Strong perspective on how AI/ML (especially Salesforce Agentforce, Einstein, Data Cloud) will reshape the Salesforce development and governance landscape., • Hands-on executor. You write PRDs, you talk to customers, you review wireframes, you sit in sprint reviews. You do not manage from a distance., • Exceptional communication skills. You can present a product vision to a C-suite audience and write a technical specification for an engineering team in the same day., • Intellectual curiosity and a bias toward action. When you see a problem, you solve it. When you don't know something, you go learn it. What Will Make You Exceptional in This Role • You have experience building products in the Salesforce AppExchange ecosystem, ideally as an ISV or within a Salesforce-native product company., • You have worked at the intersection of DevOps and security/compliance in regulated industries., • You have led product-led growth initiatives within an enterprise product, designing self-serve onboarding, in-product conversion, and expansion mechanics., • You have a point of view on the future of AI in Salesforce DevOps and can articulate a 3-year vision for how autonomous agents will change how enterprises build on Salesforce., • You have experience going head-to-head against well-funded competitors and winning through product superiority rather than just marketing spend. What We Expect in the First 12 Months First 90 Days: Learn and Diagnose • Achieve deep fluency in Flosum's five product lines and their technical architecture., • Conduct 25+ customer and prospect interviews to build a firsthand understanding of enterprise pain points., • Complete a competitive audit with specific, actionable recommendations on where Flosum should invest to win., • Deliver your first product roadmap refresh with clear prioritization rationale. Months 3-6: Ship and Win • Own and deliver at least one major product release that directly addresses a competitive gap or customer-requested capability., • Establish a product-led feedback loop between Sales, CS, and Engineering that accelerates deal velocity and reduces churn., • Define the next generation of Flosum's AI capabilities and present a detailed execution plan. Months 6-12: Scale and Lead • Drive measurable improvement in competitive win rates against Copado and Gearset., • Launch at least one net-new product capability that opens a new revenue stream or market segment., • Establish Flosum as a thought leader in AI-driven Salesforce DevOps through content, speaking, and ecosystem engagement. Why Flosum • Category-defining opportunity: You will shape the future of how enterprises build on Salesforce. This is not incremental; it is transformational., • Direct CEO partnership: You will work shoulder-to-shoulder with a founder who is deeply technical, product-obsessed, and committed to building the best platform in the Salesforce ecosystem., • Fortune 100 customer base: Your product decisions will directly impact how the world's largest and most complex organizations operate., • AI inflection point: Agentforce and autonomous agents are rewriting the rules. Flosum is the first native platform to integrate these capabilities. You will define what comes next., • Missionary culture: We hire people who want to make a dent, not pad a resume. If you are looking for a place where your work matters and your ideas are heard, this is it. Compensation & Benefits • Competitive base salary + performance bonus, • Direct access to Salesforce ecosystem events, conferences (Dreamforce, TrailblazerDX), and customer engagement

The Opportunity Flosum is looking for a visionary Senior Product Manager who lives and breathes the Salesforce ecosystem and wants to shape the future of how the world's largest enterprises build, secure, and scale on Salesforce. This is not a maintenance role. You will own the product roadmap for the only 100% Salesforce-native DevSecOps, Data Protection, and Security platform trusted by Fortune 100 companies, global brands like Hilton, Cargill, Barry Callebaut, Cushman & Wakefield, and AARP. You will work directly with the CEO and engineering leadership to define and ship products that create entirely new categories within the Salesforce ecosystem. We are at an inflection point. AI-driven DevOps (powered by Agentforce), agent-aware governance, zero-trust security orchestration, and intelligent data lifecycle management are transforming the Salesforce landscape. We need a product leader who sees around corners, understands where this space is heading, and has the conviction and execution chops to get us there first. About Flosum Flosum is the only enterprise-grade DevOps, Data Backup & Archive, Trust Center, and Data Seeding platform built 100% native on the Salesforce platform. As a Salesforce Summit Partner and the only native solution certified by Salesforce, we operate within the Salesforce trust boundary, which means zero data exposure, no third-party cloud processing, and full compliance with Salesforce security standards. Our customers are among the most demanding in the world: Fortune 500 enterprises in regulated industries (financial services, healthcare, government, life sciences) who require SOX compliance, zero-trust architecture, and audit-grade governance. We compete against Copado, Gearset, AutoRABIT, and Salto, and we win because our native architecture delivers security, speed, and extensibility that external tools simply cannot match. We recently integrated Salesforce Agentforce into our platform, making Flosum the first and only Salesforce-native AI DevOps solution. This is just the beginning of what we plan to build. What You Will Own Product Vision & Strategy • Define and drive the multi-year product roadmap across Flosum's five product lines: DevOps, Backup & Archive, Trust Center, Data Seeding, and DevOps for Veeva., • Identify whitespace opportunities in the Salesforce ecosystem where Flosum can create new categories or capture market share from competitors., • Translate deep Salesforce platform knowledge (metadata architecture, deployment models, Agentforce, Data Cloud, multi-org environments) into product capabilities that enterprise customers will pay premium prices for., • Stay ahead of Salesforce's own product direction (three releases per year) and position Flosum to capitalize on every platform shift. AI & Innovation • Lead the next wave of AI-powered DevOps capabilities built on Agentforce, including intelligent deployment agents, AI-driven code review, automated security scanning, and predictive release management., • Define how Flosum's extensibility platform enables customers to build custom AI-driven workflows within Salesforce's trust boundary., • Pioneer agent-aware governance: preparing Salesforce governance frameworks for autonomous systems and AI agents. Customer & Market Insight • Engage directly with Fortune 500 customers and prospects to deeply understand their pain points around Salesforce development, security, compliance, and data management., • Translate complex enterprise requirements (SOX, zero-trust, multi-org, regulated industries) into elegant product solutions., • Partner with Sales and Customer Success to influence deal strategy, conduct product demos for strategic accounts, and close competitive evaluations. Execution & Delivery • Write detailed product requirements, user stories, and acceptance criteria. You do the work, not just delegate it., • Partner with engineering to deliver on aggressive timelines. Own sprint planning, backlog prioritization, and release coordination., • Define and track product KPIs: adoption, activation, expansion, NPS, competitive win rates. Who You Are We are looking for a missionary, not a mercenary. Someone who takes genuine ownership of outcomes, thinks independently, and is driven by a need to build something that matters, not just advance their career. • 7+ years of product management experience in B2B SaaS, with at least 3 years focused on the Salesforce ecosystem or Salesforce-adjacent platforms., • Deep technical understanding of the Salesforce platform: metadata-driven architecture, deployment pipelines, sandboxes, packaging, security models, Apex, Lightning, and the ISV partner ecosystem., • Proven track record of shipping products that enterprise customers (Fortune 500, regulated industries) adopted and paid for. Not features; products., • Experience with DevOps, CI/CD, release management, or security/compliance tooling is strongly preferred., • You understand the competitive landscape: Copado, Gearset, AutoRABIT, Salto, and native Salesforce DX. You know where each is strong and where they are vulnerable., • Strong perspective on how AI/ML (especially Salesforce Agentforce, Einstein, Data Cloud) will reshape the Salesforce development and governance landscape., • Hands-on executor. You write PRDs, you talk to customers, you review wireframes, you sit in sprint reviews. You do not manage from a distance., • Exceptional communication skills. You can present a product vision to a C-suite audience and write a technical specification for an engineering team in the same day., • Intellectual curiosity and a bias toward action. When you see a problem, you solve it. When you don't know something, you go learn it. What Will Make You Exceptional in This Role • You have experience building products in the Salesforce AppExchange ecosystem, ideally as an ISV or within a Salesforce-native product company., • You have worked at the intersection of DevOps and security/compliance in regulated industries., • You have led product-led growth initiatives within an enterprise product, designing self-serve onboarding, in-product conversion, and expansion mechanics., • You have a point of view on the future of AI in Salesforce DevOps and can articulate a 3-year vision for how autonomous agents will change how enterprises build on Salesforce., • You have experience going head-to-head against well-funded competitors and winning through product superiority rather than just marketing spend. What We Expect in the First 12 Months First 90 Days: Learn and Diagnose • Achieve deep fluency in Flosum's five product lines and their technical architecture., • Conduct 25+ customer and prospect interviews to build a firsthand understanding of enterprise pain points., • Complete a competitive audit with specific, actionable recommendations on where Flosum should invest to win., • Deliver your first product roadmap refresh with clear prioritization rationale. Months 3-6: Ship and Win • Own and deliver at least one major product release that directly addresses a competitive gap or customer-requested capability., • Establish a product-led feedback loop between Sales, CS, and Engineering that accelerates deal velocity and reduces churn., • Define the next generation of Flosum's AI capabilities and present a detailed execution plan. Months 6-12: Scale and Lead • Drive measurable improvement in competitive win rates against Copado and Gearset., • Launch at least one net-new product capability that opens a new revenue stream or market segment., • Establish Flosum as a thought leader in AI-driven Salesforce DevOps through content, speaking, and ecosystem engagement. Why Flosum • Category-defining opportunity: You will shape the future of how enterprises build on Salesforce. This is not incremental; it is transformational., • Direct CEO partnership: You will work shoulder-to-shoulder with a founder who is deeply technical, product-obsessed, and committed to building the best platform in the Salesforce ecosystem., • Fortune 100 customer base: Your product decisions will directly impact how the world's largest and most complex organizations operate., • AI inflection point: Agentforce and autonomous agents are rewriting the rules. Flosum is the first native platform to integrate these capabilities. You will define what comes next., • Missionary culture: We hire people who want to make a dent, not pad a resume. If you are looking for a place where your work matters and your ideas are heard, this is it. Compensation & Benefits • Competitive base salary + performance bonus, • Direct access to Salesforce ecosystem events, conferences (Dreamforce, TrailblazerDX), and customer engagement

Senior Security Engineer (AI & DevOps) iProov provides science-based biometric solutions that enable the world’s most security-conscious organizations to streamline secure remote onboarding and authentication for digital and physical access. Our award-winning liveness technology and iSOC offer unmatched resilience against deepfakes and generative AI threats while ensuring effortless, scalable user experiences. Trusted by leading governments and enterprises, including the U.S. Department of Homeland Security, U.K. Home Office, GovTech Singapore, ING, and UBS, iProov sets the standard in biometric identity assurance. This global trust is built not only on our technology but on the strength of the people behind it. For us, diversity at iProov is about reflecting the customers we serve, holding the principles of equality and inclusion at the heart of everything we do and all that we stand for, embracing differences, creating possibilities, and growing together. We aim to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included, and their talents are nurtured, empowering them to contribute fully to our purpose. The Role Reports to: Head of Cybersecurity Location: WeWork Waterloo - Hybrid ( Comp: $ (Base) + Company Performance Bonus (20%) + Share Options + US iProov Benefits The role was created specifically to provide the technical security depth that will allow us to accelerate our adoption of agentic AI, equipping developers and data scientists building our biometric products with the tools and workflows to use AI safely and at pace. You will work as the direct counterpart to our GRC-focused InfoSec Manager, owning the engineering and implementation side of our security posture across cloud infrastructure, developer workflows, AI systems, and our core security toolstack. This is a role for someone who has built and shipped software or infrastructure and brings that experience into a security context. • Architect and deploy the secure technical framework that governs the security controls for how our developers and scientists use agentic AI, including AI coding assistants, autonomous agents, and LLM-integrated tooling. Given that these systems can autonomously access data, execute code, and interact with external services, the guardrails you design will need to address a substantially broader attack surface than traditional AI tooling, and must hold up in a context where the underlying data is among the most sensitive we handle., • Be the primary technical security voice in decisions around the use and deployment of externally developed AI, ensuring the right controls are in place from the onset, • Continuously mature automated security controls into CI/CD pipelines and infrastructure-as-code deployments, championing the DevSecOps culture across a large engineering organisation., • Take hands-on ownership of our core security technology stack, including Wiz, CrowdStrike, Google SecOps, and Tailscale, ensuring these platforms are correctly configured, tuned, and integrated., • Drive continuous technical delivery of strategic security initiatives, systematically identifying, triaging, and closing gaps across our cloud environments, internal networks, and developer workflows., • Provide technical oversight of the security of the data pipelines feeding our internal AI systems and, critically, the permissions and access boundaries of agentic AI systems reaching out into other environments, enforcing the principle of least privilege, maintaining audit trails, and ensuring sensitive data and code integrity is handled with the rigour required., • Complement the work of our existing biometric and product focused Red Team by owning security coverage of the DevSecOps surface, the build pipeline, internal toolchain, cloud environments and developer infrastructure., • Act as the primary technical security partner to our GRC-focused InfoSec Manager, translating governance and compliance mandates into concrete, automated engineering controls., • Represent the technical security function in external audits. This includes presenting evidence of controls, articulating the security posture of our cloud and AI environments to auditors, and working closely with the InfoSec Manager to ensure the technical substance behind our compliance position is clearly and credibly communicated., • A foundational background in software engineering or DevOps before moving into a dedicated security role: you understand how code is written, tested, and deployed, and that experience is central to how you approach security problems., • Proven, hands-on experience securing modern cloud infrastructure and containerised environments, with a solid understanding of infrastructure-as-code principles and the security implications of how infrastructure is defined and provisioned., • Proficiency in deploying and administering enterprise security platforms, ideally with direct experience managing tools spanning CNAPP, EDR, SIEM, and zero-trust networking., • A heavy and active user of AI in both professional and personal contexts, including agentic AI tools and coding assistants, with a grounded understanding of the evolving AI threat landscape, including model supply chain risks, prompt injection, data exfiltration, agent misuse, and LLM-specific attack vectors., • Scripting and automation capability, particularly in Python, to build internal tooling, automate security checks, and reduce reliance on manual processes across the security function., • Prior experience or a demonstrated practical interest in securing AI workloads, data pipelines, and machine learning environments., • The communication skills to collaborate effectively with highly technical stakeholders, champion security initiatives without hindering developer productivity, and translate risk into language that resonates with both engineering peers and business leadership, including the confidence to present technical security evidence clearly in formal external audit settings., • 25 days Annual Leave, plus 8 Bank Holidays (more holiday with service - up to an extra 5 days off per year based on your continuous service), • Growth Shares allocated after passing probation (6 months of service), • Salary sacrifice schemes including: Pension, Cycle To Work and Electric Car Scheme, • Nursery Sacrifice Scheme, • Work Overseas Perk - Work globally for up to 2 weeks, • Life Assurance, • SmartHealth - Access to private GP, Psychologist, Nutritionist along with tailored fitness plans for both you and your family, • Benefit from personalized 1:1 career coaching with our in-house Occupational Psychologist, • Award winning L&D platform with personal allocated training budgets, • Enhanced paid family leave, • Pension - 5% employee, 3% employer, • Flexible hybrid working environment, • Free Barista Coffee/Tea, biscuits with fruit in the WeWork office, • Free access to WeWork discounts and free online well-being sessions, • Vitality Health - a range of options available on this below The Vitality Programme includes a number of reward benefits that all employees have access to as part of the plan, for example: • Private Health cover including Dental, Optical, and Audiology, • 50% off monthly gym memberships, • Apple watches significantly discounted based member vitality status, • Half price trainers with Runners Need, • Weekly rewards – Free coffee with Café Nero, • Monthly rewards – Free Cinema ticket, • Discounts on travel with Expedia (hotels) and Mr & Mrs Smith with discounts getting greater throughout the year based on a members vitality status, • Amazon prime free months based on activity, • Up to 25% cashback at Waitrose when buying healthy foods, • 75% off stays at Champneys Health Spas, • Allen Carr’s £299 no smoking programme for free, • Access to Vitality Healthy Mind with 30% off Headspace subscriptions and the ability to earn Vitality points for using Buddhify, Calm and Headspace, • Discounts on Weight Watchers, • 50%-80% off Comprehensive Private Health screenings Our Culture & Recruitment Process At iProov, we're incredibly proud of the culture we've carefully curated. Our culture enables diverse thought, curiosity and innovation. Our team strives to do everything to the highest standard possible to achieve the remarkable. To do that we need different perspectives, experiences and ideas alongside an environment where these are welcomed - we want everyone to feel confident in bringing their full capabilities to work. We firmly believe psychological safety is key to building and nurturing great teams. We’re a small and dynamic company, that means having the right skills is important, and we know that our best work emerges when people feel secure, welcomed and respected. As an equal opportunities employer, we encourage applications from people of all backgrounds. We’re committed to building a workforce that is representative of the people we serve. We will not put someone at a disadvantage or treat them less favourably because of race, color, national origin, ancestry, age, disability, creed, religion or belief, sex, sexual orientation, gender reassignment, marriage or civil partnership, or pregnancy and maternity. Our goal is to find people who are passionate about creating a safer, more secure world. Our recruitment process is designed to be fair and transparent, focusing solely on your qualifications, competence, and suitability for the role. We review all applications carefully and will be in touch with shortlisted candidates regarding the next steps in our interview process. If you need an adjustment for a disability or any other reason during the hiring process, please send a request to _

Description At Spotted Zebra, we're building something we genuinely believe in: an AI-native end-to-end hiring platform that helps the world's leading organisations find the right people, faster and fairer than ever before. In short, we're making hiring something everyone loves again - both talent teams and candidates alike. We're a multi-award-winning Series A company giving talent leaders the solution they've always needed. Skills science native. AI-amplified. Built by people who've lived and breathed TA and knew there had to be a better way. Spotted Zebra brings Interview Intelligence, Skills Assessments, and AI Interview Agent together in one powerful platform, designed for intelligence and action. One powerful agent and assistant: Spot. Working the way talent teams need it to, always with humans in control. The result is talent teams get the insight to predict who will succeed, the speed to move before competitors, the governance to defend every hiring decision, and the capacity to focus on the human moments that matter most. But our product is only part of the story. Spotted Zebra isn’t just building an AI-native product; we’re building an AI-native company. AI is changing how we build, sell, support customers and make decisions. We use it to move faster, stay closer to customers, reduce unnecessary processes, and give talented people more leverage in their roles. That means joining Spotted Zebra isn’t just a chance to work on the future of hiring. It’s a chance to help shape what the future of work looks like inside a scaling company: compact, ambitious teams using AI to collaborate better, make decisions quickly, and deliver meaningful impact at speed. The FTSE100 and Fortune500 companies trusting us include British Airways, NIQ, Domino's, Lidl, Merlin Entertainments, AWE, United Utilities, and Paramount. We've been named Personnel Today's Talent Acquisition Supplier of the Year 2025, secured gold across multiple industry awards, and were recently named on the UK Top 100 Startups List. But what we’re most proud of is the team. People join Spotted Zebra because the mission is real, the product is genuinely exciting, and the opportunity to shape the future of hiring is huge. What makes it special is the way we work: smart, committed people in compact teams where trust is high, decisions happen quickly, and everyone has the chance to make a visible impact. If that sounds like the kind of place you want to do your best work - read on. Fun fact: A group of zebras is called a dazzle – and ours truly is dazzling! We create a culture in which our team thrives and gallops ahead. As we roam free and empower our dazzle, we gallop ahead on the journey to achieving our goals. We understand this journey will pose challenges along the way, yet we brighten the trail with our positive mindset and encouragement of others. The dazzle continuously moves, gaining knowledge and skills so that we can graze new grounds. As our Integration Solutions Consultant, you're the technical integration expert our enterprise customers rely on to connect Spotted Zebra seamlessy into the systems they already run on. You join implementations when the conversation turns technical - ATS, Workday and other HRIS, SSO, Outlook and Microsoft 365, data flows and field mapping - and you make integrations work. You won't own the whole implementation (our Implementation Managers and Skills Science Solutions Consultants lead that), and you won't be hands-on building every integration - we have a dedicated Product Integration Engineering team for that. You are the customer-facing front of that team: the person who scopes what's possible, designs how data should flow, and gives customers clear, credible answers on technical feasibility, then works tightly with our engineers to deliver it. If you love untangling enterprise tech stacks, can hold your own with TA Leaders, Recruiters and IT architects alike, and want to shape how a fast-evolving product plugs into the world's biggest employers - this one's for you. Key responsibilities: • Act as the technical integration expert across enterprise implementations, joining solution and discovery conversations when they turn to ATS, Workday/HRIS, SSO, Outlook/Microsoft 365, data flows, field mapping and integration options, • Lead integration discovery - understanding the customer's tech stack, map their requirements to Spotted Zebra's integration capabilities, and translate business goals into a workable technical design, • Design and document field mappings, data flows and integration approaches, including the source of truth between systems such as Workday and Spotted Zebra, and what is standard versus bespoke, • Scope and confirm technical feasibility - what's available today versus on the roadmap - giving customers honest, credible answers and escalating to the Product Delivery Manager and Product only by exception, • Support pre-sales as the integration expert - joining sales conversations with prospects to assess feasibility, answer technical questions, scope requirements, and contribute to RFPs and security questionnaires so deals are set up to succeed at implementation, • Act as the customer-facing front of our Product Integration Engineering team - translating customer requirements into clear integration specs, working primarily with that team's Product Manager (and directly with engineers when needed) to get integrations built, and keeping the customer informed throughout, • Own the integration workstream alongside the Implementation Manager - spotting risks early, coordinating with Product Integration Engineering, troubleshooting issues, and keeping delivery on track to go-live, • Partner with the Skills Science Solutions Consultant on what assessment and AI Interview evidence is appropriate to share back into the ATS, and with the Product Delivery Manager on feasibility and customer-specific product work, • Support phased approaches - enabling customers to go live without a full integration and add ATS/Workday integration later, • Build repeatable integration playbooks, templates and documentation, and feed integration insights back to Product and Engineering to make delivery more scalable, • Provide input to information security, SSO/identity and supplier onboarding conversations as needed, • Help shape the integration roadmap - channelling customer needs, recurring requirements and field insights to the Product Integration Engineering team's Product Manager to inform priorities and influence what we build next Requirements • Hands-on experience designing and delivering integrations between SaaS products and enterprise systems including Workday, SuccessFactors and Oracle, • Strong working understanding of integration methods and concepts - APIs, webhooks, data/field mapping, ETL, SSO/SAML and common HR data flows, • Customer-facing confidence - able to lead technical discovery with both senior business stakeholders and technical/IT teams, and explain complex integration topics in plain language, • Comfortable navigating ambiguity in a fast-evolving product, with the judgement to know what's standard, what's bespoke, and when to escalate, • Experience supporting sales cycles and pre-sales as a technical or solutions expert - comfortable being the integration authority in front of prospects, not just delivering after the deal is signed, • Experience contributing to RFPs, security questionnaires and technical proposals - comfortable with the written and compliance side of enterprise deals, • Strong organisational skills, able to run multiple integration workstreams across concurrent enterprise implementations, • A genuine startup mindset - adaptable, resilient, resourceful, and comfortable delivering something that's still evolving, • Familiarity with SSO/identity (SAML, OIDC), Microsoft 365/Outlook integration, and middleware/iPaaS tools (e.g. Kombo/Merge), • Data literacy or light scripting (JSON, SQL, Postman) to validate and troubleshoot integrations, • Exposure to AI governance, information security processes, or supplier onboarding requirements, • Willingness to travel occasionally for client visits, including potential international travel Benefits Meaningful share options Health insurance Enhanced pension Nursery salary sacrifice scheme ️ 25 days holiday (excluding bank holidays) Remote-first Work from home budget L&D budget Dental cover Eye-care support Co-working space budget Wellbeing allowance ✈️ Travel insurance Electric car scheme Beyond our core benefits, you'll get access to the latest AI-powered tools and technologies, giving you everything you need to do your best work. At Spotted Zebra, we welcome people of all stripes. We are committed to providing equal opportunities and an inclusive and diverse culture. We believe that each and every one of us possesses an extraordinary set of skills and abilities, waiting to be discovered, nurtured, and harnessed for the benefit of all. We are a team. And no matter your race, gender, sexual orientation, religion, civil or family status, age, or disability, we will empower you to unleash your superpower to help us create a world where everyone is able to utilise their unique blend of skills and abilities to contribute to the greater good. Everyone is unique and we encourage you to let us know in your application, or share with your recruiter directly, if there is anything we can do to make your interview experience with us more comfortable and positive. At Spotted Zebra, everyone is welcome. So even if you don't meet all the requirements, we would still love to hear from you. We are always keen to speak with people who are passionate about our mission. Ready to gallop ahead with us? We're a team that moves fast, thinks big, and isn't afraid to challenge how things have always been done. If you're excited about using AI and skills science to transform how the world hires, apply now and a member of our dazzle will be in touch!

At Docker, we make app development easier so developers can focus on what matters. Our remote-first team spans the globe, united by a passion for innovation and great developer experiences. With over 20 million monthly users and 20 billion image pulls, Docker is the #1 tool for building, sharing, and running apps—trusted by startups and Fortune 100s alike. We’re growing fast and just getting started. Come join us for a whale of a ride! We are looking for a Principal Software Engineer (Docker Agents) to join Docker’s AI engineering team to build the future of containerized AI agents. Docker containers are the perfect vehicle to host and run AI agents—providing isolation, portability, and reproducibility. You’ll be working on cagent, our open-source project (_), and expanding on it to enable developers to build, deploy, and scale intelligent agents using Docker’s container technology. This is a greenfield opportunity to shape how developers leverage containers for AI agents at massive scale. You’ll define the technical vision, lead architecture decisions, and partner with engineers and leaders across Docker to bring containerized agent capabilities into Docker’s developer experience. Technical Leadership & Architecture: Define and drive the long-term technical strategy for Docker’s containerized agent platform, including core primitives, APIs, and extensibility patterns Build Containerized Agent Systems: Design and implement systems that leverage Docker containers as the ideal runtime for AI agents, ensuring isolation, scalability, and portability Expand cagent: Maintain and evolve the open-source cagent project, adding new capabilities for containerized agent deployment, orchestration, and lifecycle management Agent Runtime Development: Build robust infrastructure for packaging, deploying, and managing agents in containers across local and cloud environments Evaluation & Testing: Define evaluation frameworks to measure agent quality, reliability, and production readiness; plus the deployment effectiveness of containerized runtimes Reliability & Operability: Establish standards for observability, performance, and operational excellence; lead critical production decision-making and incident learnings as needed Rapid Prototyping: Iterate quickly on new agent capabilities and deployment patterns, moving from concept to production efficiently Open Source Community: Engage with the cagent community, review contributions, and help grow the ecosystem Cross-functional Collaboration: Lead cross-functional technical discussions and influence architectural decisions across Docker’s AI initiatives (including sister teams and platform efforts) Mentorship & Enablement: Mentor senior engineers, raise the bar through design reviews, and accelerate team execution through clear technical direction and coaching 10+ years of software engineering experience, including 3+ years in technical leadership roles (Staff/Principal level or equivalent scope) Go Expertise: Strong proficiency in Go (this is absolutely required) - Docker’s primary language for backend systems AI/ML Knowledge: Practical experience with large language models (LLMs) and agent development patterns System Architecture: Proven ability to design scalable, distributed systems in production environments Container Technology: Deep understanding of Docker, containerization best practices, and container orchestration Cloud/Platform Depth: Experience building and operating platform services with strong foundations in observability, CI/CD, and security principles Operational Excellence: Experience operating and evolving high-availability production systems with a focus on reliability and performance Influence & Communication: Exceptional communication skills and ability to influence across technical and business domains AI Frameworks: Experience with CrewAI, AGNO, ADK, LangChain/LangGraph or similar AI orchestration frameworks (preferred) Python Proficiency: Experience with Python for AI prototyping and tooling (preferred) Experience with Kubernetes or container orchestration platforms (preferred) Open source contributions and community engagement (preferred) Experience with agent evaluation, reliability, and observability techniques (preferred) Integrate into our AI engineering team building containerized agent infrastructure Deep dive into cagent’s architecture, project roadmap, and the developer problems we’re solving Identify the highest-leverage architectural and execution risks/opportunities; align with stakeholders on priorities Contribute initial improvements to cagent and the containerized agent runtime foundations Lead significant platform features or architectural improvements to cagent and our containerized agent ecosystem Establish (or materially improve) technical standards for evaluation, reliability, and operability of agent systems Drive alignment across internal teams on APIs, integration points, and a cohesive developer experience Mentor engineers through design reviews and help accelerate onboarding and execution Drive major architectural decisions for our containerized agent platform that will impact millions of Docker users Shape the long-term technical vision and execution plan for Docker’s agent ecosystem (open-source and product surfaces) Establish repeatable engineering practices for quality, performance, and operational excellence in agent systems Lead initiatives to expand containerized agent capabilities for enterprise use cases and broader platform integrations Grow the team’s technical capabilities through mentorship, strategy, and pragmatic delivery Docker does not offer visa sponsorship for this role. We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using _ on April 13, 2024. Please see the independent bias audit report covering our use of Covey _. Perks Freedom & flexibility; fit your work around your life Designated quarterly Whaleness Days plus end of year Whaleness break Home office setup; we want you comfortable while you work 16 weeks of paid Parental leave Technology stipend equivalent to $100 net/month PTO plan that encourages you to take time to do the things you enjoy Training stipend for conferences, courses and classes Equity; we are a growing start-up and want all employees to have a share in the success of the company Docker Swag Medical benefits, retirement and holidays vary by country Remote-first culture, with offices in Seattle and Paris Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be. #LI-REMOTE

Software Engineer (AI-Forward) As a Software Engineer with Texas Sports Academy, you play a key role in building the software that runs our school — student records, academic mastery tracking, training data, parent portals, admissions, and the AI-powered tools our guides and coaches use every day. This is a senior, AI-forward seat. You work directly with the founders, ship code every week with AI in your loop, and own the LLM-powered features that make our school feel nothing like a traditional school. What you will be doing • Designing, building, and shipping product features across the full stack every week, with AI coding tools running alongside you., • Building real LLM-powered product features: tutoring agents, parent-facing copilots, coach-facing dashboards, retrieval over student data, evals for every one of them., • Working directly with the founders on scope, architecture, and trade-offs — no PM layer in between., • Owning the reliability, security, and cost of both classical systems and LLM pipelines., • Running your own AI coding workflow — prompts, subagents, custom tools, MCP servers — and raising the bar on how the whole team uses AI., • Writing evals and regression tests for AI features the same way you'd write unit tests for classical code. What you will NOT be doing • Pretending AI is optional — if you're not already coding with Claude Code, Cursor, Codex, or an equivalent agent loop every day, this role is not for you., • Writing tickets for junior engineers to implement., • Sitting in status meetings all day — few meetings, more shipping., • Working on a narrow slice of a giant codebase. Key responsibilities • Ship production code and AI features real students, parents, and staff rely on every day., • Own at least one major system end-to-end., • Move fast — features go from idea to production in days, not quarters — without breaking things., • Raise the AI-engineering bar as the team grows., • Bachelor's or master's degree in Computer Science, Engineering, Math, or Physics., • 6+ years of full-time production engineering experience shipping software to real users at real scale., • At least one prior senior, staff, or tech-lead role., • Daily, fluent use of AI coding tools (Claude Code, Cursor, Codex, Windsurf, Aider, or equivalent) as your default way of writing software., • At least one shipped LLM-powered feature in production, with an eval story., • Strong skills in a modern web stack (TypeScript / React / Node or Python / Postgres / AWS or GCP)., • Excellent written English, • Legal authorization to work from India or Pakistan as a remote contractor with a US company. Nice to have • Master's or PhD from a tier-1 institution., • Former founder, first-five engineer at a funded startup, or shipped products that reached real users at scale., • Agent frameworks (LangGraph, CrewAI, Mastra, custom), vector search / RAG at scale, evals (Braintrust, LangSmith, custom), prompt caching, MCP servers, structured output / tool-use reliability, voice agents., • Public GitHub or a personal AI project we can actually try., • A personal project you built because you wanted to.

About Teleport Don't wait for the future of infrastructure. Be part of it. Teleport is the AI Infrastructure Identity Company. We're solving one of the hardest problems in security: giving every human, machine, workload, and AI agent a cryptographically secured identity, improving engineering velocity while maintaining security. We make trusted computing simple. This gives you the freedom, power, and autonomy to build and innovate with confidence. Remote-first and globally distributed, we work with companies like Nasdaq, IBM, DoorDash, and Elastic to secure infrastructure for an AI world. About the Role: As Senior Channel Sales Manager for EMEA, you'll own the regional partner ecosystem end-to-end — recruiting and onboarding channel partners, building joint business plans, and driving the co-sell motion that generates partner-sourced pipeline and revenue. You'll run regional account mapping and work shoulder-to-shoulder with our Enterprise AE teams to ensure partners are enabled, engaged, and closing. This is a quota-carrying role where you'll be expected to build and grow a focused set of go-to partners that consistently deliver against regional sales goals. If you know how to turn partner relationships into revenue and thrive in a lean, fast-moving environment, this role was built for you. What you'll be doing: Own partner sourced (partner originated) pipeline and revenue (quota) number in region Recruit, on-board and manage partners to drive co-sell Establish and build business plans for regional go-to partners that align to sales goal Present the Teleport portfolio and partner program benefits to partner leadership Continuously work with cross-functional teams to train/enable/certified partners in region Drive account mapping and regional sales meetings to build partner relationships Own regional partner MDF plans and budgets for accelerating end-user pipeline Monitor and report on sales and operational results based on OKRs Manage and drive partner engagement with internal sales organization for resell and co-sell Work closely with regional AE teams on partner engagement and co-sell goals and support them on quota attainment and pipeline generation What We're Looking For: Proven track records of sales over-performance 8+ years partner/channel sales experience Deep understanding of how channel partners work with ISV’s to drive successful co-sell Key partner relationships and network within EMEA channel partners Strategic business and marketing planning capabilities Excellent interpersonal skills and a proven capacity to build strong relationships and close business with partners Demonstrated ability to work cross-functionally especially with internal sellers MSP and distribution experience preferred Must be self-motivated, have strong self-management skills and should demonstrate basic leadership qualities Bachelor’s degree or equivalent required Must be located in the UK or Ireland Nice to Have: Ideally fluent language skills in German or French Why Teleport You're joining a company where the problem is real, the team is small, and your work shows up directly in the product. We're not a big company, you won't get lost in a crowd. You'll have the freedom and autonomy to do what you're great at, alongside teammates who care about doing it right and want to see you succeed. The work is collaborative, there's real room to grow, and the mission is one worth showing up for. Remote-first and globally distributed, we're genuinely passionate about what we're building. The Benefits At Teleport, we believe your career is more important than a list of perks. That's why we focus on making your day-to-day the best it can be — giving you the autonomy, access, and support to do the best work of your career. • Extensive health coverage, • Annual expense budget, • Rest and recovery policies that maximize your ability to recharge, • Investment in your future with retirement savings plans, • Professional development opportunities Teleport is an equal opportunity employer and does not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classifications protected by federal, state, or local law. Candidate Privacy Notice: For information about our collection and processing of job applicant personal data for this position, please see our Job Applicant Privacy Policy and Notice of Collection at _

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. She will pick the best candidates from Jack's network The next step is to _. Job Title: Senior Platform Engineer (DevSecOps) Company Description: _ - Series C AI platform for debt markets Job Description: Join 9fin's high-seniority Platform team to lead the security function from the ground up. You will design and implement the automated guardrails, policy-as-code, and secure-by-default systems that allow engineers to move fast while protecting a platform used by 300+ blue-chip institutions across the $145 trillion global debt market. Location: Remote, UK Why this role is remarkable: Opportunity to build a security function from a "cold start," defining the standards, tooling, and culture for a unicorn-stage fintech. 9fin just closed a $170M Series C at a $1.3B valuation, providing massive growth trajectory and stability with 300+ institutional clients. Work in a high-autonomy, low-ego environment within a senior Platform team that functions as an internal product group rather than a ticket-based service. What you will do: Design and implement automated security guardrails across a multi-account AWS environment using Terraform and policy-as-code. Build and maintain secure CI/CD pipelines in GitHub Actions, including secret scanning, dependency analysis, and build integrity checks. Partner with the Head of InfoSec to translate SOC 2 compliance requirements into pragmatic, engineering-led platform features and automated gates. The ideal candidate: Proven experience owning or significantly improving cloud security posture, ideally building security functions from scratch in a startup/scale-up environment. Expert-level proficiency with AWS, Infrastructure as Code (Terraform), and modern application security patterns like decentralized authentication. Strong communicator who can balance security requirements with developer experience to influence engineering teams across the entire organization. Who are Jack & Jill? Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support. And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate. Next steps Step 1. Visit _. Step 2. Click 'Talk to Jack'. Step 3. Talk to Jack so he can understand your experience and ambitions. Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role. Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction. Step 6. If not, Jack will find you excellent alternatives. All for free. We never post fake jobs This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network. Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description. We appreciate this can make them look a bit suspect, but there isn't much we can do about it. Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. She will pick the best candidates from Jack's network The next step is to _. Job Title: Full-Stack / Platform Engineer Salary: £90k + Equity Company Description: Handshaik - AI-native company intelligence platform backed by BigChange founder Martin Port. Job Description: Join a high-growth startup as a foundational engineer building an AI-native platform for M&A and private equity. You will own the entire technical lifecycle—from architecting Python/FastAPI backends and React frontends to managing AWS infrastructure and integrating LLMs via Bedrock. This role offers direct influence over the company’s technical future. Location: London, UK Why this role is remarkable: Significant ownership as a foundational hire, working directly with the CTO and founders to define engineering standards and product roadmap. High-performance technical stack involving AI-driven search, vector databases (pgvector), and agent-based workflows at the frontier of dealmaking technology. Strong commercial backing from the BigChange ecosystem and Cambridge AI researchers, moving rapidly toward product-market fit with active early customers. What you will do: Design, build, and operate a production SaaS platform using Python (FastAPI), React, and PostgreSQL, ensuring high performance and security. Architect and scale cloud infrastructure on AWS using Terraform, ECS, and Lambda while maintaining multi-tenant security and ISO 27001 standards. Develop and optimize hybrid search capabilities and data pipelines, integrating LLMs to automate complex research tasks for dealmakers. The ideal candidate: 7+ years of experience building and shipping production-grade systems in startup or small-company environments with a strong bias for action. Expert proficiency across the full stack, specifically Python, React/TypeScript, PostgreSQL, and hands-on AWS infrastructure management. Proven ability to make sound architectural decisions independently and a genuine enthusiasm for leveraging AI to solve fragmented manual workflows. Who are Jack & Jill? Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support. And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate. Next steps Step 1. Visit _. Step 2. Click 'Talk to Jack'. Step 3. Talk to Jack so he can understand your experience and ambitions. Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role. Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction. Step 6. If not, Jack will find you excellent alternatives. All for free. We never post fake jobs This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network. Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description. We appreciate this can make them look a bit suspect, but there isn't much we can do about it. Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.

AI Engineer | Digital Agency | £60-70,000 NLP | LLM | RAG | AI | ML My client is currently looking for an AI Engineer, to play a key role in designing, building and embedding AI-enabled capabilities across digital products and shared platforms. You will focus on the practical application of large language models, machine learning and related technologies to solve real business problem, such as, improving product intelligence and responding to growing customer demand. Key Deliverables • Design, build and deliver production-ready AI-enabled features and services that support the product strategy and business objectives., • Take AI ideas from discovery through to working software, using practical engineering judgement to balance value, complexity, cost, risk and maintainability., • Build solutions using large language models, machine learning and supporting technologies to improve throughput, automate knowledge-intensive processes and enhance product intelligence., • Ensure the solutions you build are secure, reliable, supportable and suitable for real-world production use. Key Skills • Strong software engineering experience, with the ability to design, build, test and deliver production-quality services., • Hands-on experience building solutions using LLMs, machine learning or applied AI techniques to solve practical business problems., • Experience with prompt engineering, retrieval augmented generation, semantic search, AI workflow orchestration or agent-based approaches., • Experience working with business or domain data to ground, evaluate and improve AI outputs., • Ability to design feedback loops, evaluation approaches and human-in-the-loop processes to improve AI solution quality over time., • Strong understanding of responsible AI considerations, including privacy, security, hallucination risk, bias, transparency and appropriate human oversight., • Experience working collaboratively with Product teams, engineers and subject matter experts to shape ideas into deliverable software. Desired Skills • Experience working with Azure PaaS services, Azure AI Foundry, Azure OpenAI, Azure AI Search or Azure Machine Learning., • Experience with .NET, SQL Server and cloud-native application development., • Knowledge of Semantic Kernel or similar AI orchestration frameworks., • Experience deploying and operating AI or ML-enabled services in production environments. Salary: £60-70,000+ (we will consider more, dependant on experience) Location: Bradford (1 day a week) CV are being shortlisted with a view to start interviews from week commencing 6th July, and an anticipated start date of August