Senior Field Engineer (Pre-Sales/Forward Deployed Engineer)

🏢 Summary: Partner Marketing Manager role focused on executing joint go-to-market programs, partner enablement, and demand generation initiatives within the industrial AI and B2B SaaS space. The position involves collaborating with strategic partners and internal teams to drive pipeline growth, manage partner marketing operations, and optimize campaign performance through MarTech and analytics. 🗂️ Requirements: 5+ years experience in partner marketing, channel marketing, or alliances marketing, Experience in AI, B2B SaaS, or enterprise software environments, Knowledge of industrial partner ecosystems, Experience executing joint demand generation campaigns, Familiarity with Marketo, Familiarity with Salesforce, Experience with PRM platforms, Understanding of LLMs and AI-native martech solutions, Strong written and verbal communication skills 📃 Skills: Marketo, Salesforce, PRM, LLMs, AI, SaaS, MarTech, Slack, Teams 🏢 Description: What Cognite is: Relentless to achieve Cognite operates at the forefront of industrial digitalization, building AI and data solutions that solve high-impact industrial challenges. The company focuses on accelerating digital transformation through AI capabilities, including low-code AI agents and industrial data solutions. How you'll demonstrate Ownership As a Partner Marketing Manager, you will execute go-to-market efforts and accelerate revenue growth through strategic alliances and partnerships. Reporting to the CMO, you will deploy marketing programs that enable partners, including system integrators, technology partners, and OEMs, to position, sell, and implement Cognite solutions. This role requires strong project management, execution skills, and understanding of partner marketing within industrial AI and SaaS environments. You will collaborate with Global Alliances, Product Marketing, Field Marketing, and partners to maximize joint business outcomes. Quick Facts Partner Enablement & Asset Creation - Collaborate with partners and Product Marketing to build co-branded collateral, messaging guides, solution briefs, case studies, and digital campaign kits - Equip partner sales and technical teams with product messaging, value propositions, and competitive intelligence - Ensure joint materials align with brand guidelines Demand Generation & Campaign Execution - Design, launch, and manage joint marketing plans with prioritized partners - Execute webinars, digital campaigns, content syndication, and partner workshops - Drive partner activation and sponsorships for field events and the global AI and data event Impact - Manage partner communication channels including newsletters, portals, and Slack/Teams networks Operations & Analytics - Utilize PRM platforms, asset management systems, and lead tracking tools - Track campaign performance, KPIs, and ROI - Support management of partner marketing budgets and market development funds Requirements - 5+ years of experience in partner marketing, channel marketing, or alliances marketing within AI and/or B2B SaaS or enterprise software - Strong understanding of industrial partner ecosystems including GSIs, SIs, ISVs, and OEMs - Proven success executing demand generation campaigns across digital, event, and content channels - Familiarity with Marketo, Salesforce, PRM platforms, LLMs, and AI-native martech solutions - Understanding of industrial sectors such as Energy, Manufacturing, Utilities, or Pharma preferred - Excellent written and verbal communication skills Benefits - Competitive compensation - 401(k) with employer matching - Health, dental, vision, and disability coverage - Unlimited PTO - Paid parental leave - Employee referral program - International and diverse work environment - Modern workplace culture - Learning opportunities on ambitious projects - Paid mobile phone and WiFi Equal Opportunity Cognite is committed to creating a diverse and inclusive work environment and is an equal opportunity employer.

🏢 Summary: Partner Marketing Manager role focused on executing co-marketing programs, partner enablement, and demand generation initiatives within the industrial AI and B2B SaaS space. The position involves collaborating with strategic partners and internal teams to drive pipeline growth, manage partner marketing operations, and optimize campaign performance using modern martech and PRM tools. 🗂️ Requirements: 5+ years in partner marketing, channel marketing, or alliances marketing, Experience in AI, B2B SaaS, or enterprise software environments, Knowledge of industrial partner ecosystems including GSIs, SIs, ISVs, and OEMs, Proven execution of demand generation campaigns, Experience with digital campaigns, events, and content marketing, Familiarity with Marketo and Salesforce, Experience with PRM platforms, Understanding of industrial sector digital transformation challenges, Strong written and verbal communication skills 📃 Skills: Marketo, Salesforce, PRM, LLMs, AI, SaaS, MarTech, Slack, Teams 🏢 Description: What Cognite is: Relentless to achieve Cognite operates at the forefront of industrial digitalization, building AI and data solutions that solve high-impact industrial problems. With a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates digital transformation to drive operational improvements. How you'll demonstrate Ownership As a Partner Marketing Manager at Cognite, you will play a crucial role in executing go-to-market efforts and accelerating revenue growth through strategic alliances and partnerships. Reporting to the CMO, you will be responsible for deploying comprehensive marketing programs that empower partners, including system integrators, technology partners, and OEMs, to effectively position, sell, and implement Cognite's solutions. This role requires strong project management, execution excellence, and a deep understanding of partner marketing within the industrial AI and SaaS landscape. You will collaborate closely with Global Alliances, Product Marketing, Field Marketing, and partners to maximize joint business outcomes. What You'll Do Partner Enablement & Asset Creation - Collaborate with partners and Product Marketing to build co-branded collateral, messaging guides, solution briefs, case studies, and digital campaign kits - Ensure partner sales and technical teams are equipped with product messaging, value propositions, and competitive intelligence - Provide marketing guidance to partners and ensure alignment with brand guidelines Demand Generation & Campaign Execution - Design, launch, and manage joint marketing plans with prioritized partners - Execute webinars, digital campaigns, content syndication, and partner workshops - Drive partner activation and sponsorships for field events and Impact, the global AI and data industry flagship event - Manage partner communication channels including newsletters, portals, and Slack/Teams networks Operations & Analytics - Utilize and optimize PRM platforms, asset management systems, and lead tracking tools - Track campaign performance and report on KPIs and ROI - Support management of partner marketing budgets and market development funds Who You Are - 5+ years of experience in partner marketing, channel marketing, or alliances marketing within AI and/or B2B SaaS or enterprise software - Strong understanding of industrial partner ecosystems including GSIs, regional SIs, ISVs, and OEMs - Proven track record of executing demand generation campaigns resulting in measurable pipeline growth - Familiarity with Marketo, Salesforce, PRM platforms, LLMs, and AI-native martech solutions - Understanding of industrial sectors such as Energy, Manufacturing, Utilities, and Pharma - Excellent written and verbal communication skills Benefits - Competitive compensation - 401(k) with employer matching - Health, dental, vision, and disability coverage for employees and dependents - Unlimited PTO - Paid parental leave - Employee referral program - Modern and collaborative work environment - Opportunity to work on ambitious industrial AI projects - Paid mobile phone and WiFi Equal Opportunity Cognite is committed to creating a diverse and inclusive environment and is an equal opportunity employer.

🏢 Summary: Engineering leadership role to build and scale an AI Labs team developing autonomous AI agents for enterprise commerce. Responsible for defining the architecture, shipping production-grade agentic AI systems, and driving AI-assisted development at startup speed within a pre-IPO environment. The role combines hands-on technical direction with ownership of infrastructure, quality, and engineering execution. 🗂️ Requirements: Proven experience building and scaling high-performing engineering teams, Hands-on expertise in software architecture and system design, Experience shipping AI or LLM-based products to production, Deep knowledge of LLM orchestration and agent architectures, Experience with AI-assisted development tools in engineering workflows, Ownership of infrastructure efficiency, reliability, and product quality metrics, Ability to operate at startup pace with rapid release cycles, Onsite presence in Mountain View, CA 📃 Skills: LLMs, GPT-4, Claude, AgenticAI, Architecture, Orchestration, AIDevelopment, Cursor, OpenSource, Infrastructure, DistributedSystems 🏢 Description: CommerceIQ is building the AI platform that runs commerce for the world's largest brands. We are not selling AI demos. We are shipping AI agents for content, media, and sales into the workflows of the Fortune 100 every week. 2,200+ Customers 10 of Top 12 CPG Companies 900+ Retailers Connected $200M+ Raised Customers include Coca-Cola, Nestlé, Colgate-Palmolive, Mondelez, Samsung, and Kellogg's. Backed by SoftBank, Insight Partners, and Madrona. Headquartered in Mountain View with teams across the US, India, Canada, and the UK. Pre-IPO.The Problem: We have thousands of enterprise users, proven product-market fit across digital shelf analytics, retail media, and sales operations, and the Fortune 100 running on our platform. That part works. Now we are building something new: autonomous AI agents that are already in customer hands and scaling fast. This is a 0-to-1 build inside a company that has the distribution, the data, and the customers to make it real. The AI Labs team operates as a startup within the company. It needs its own engineering leader. Someone who can recruit a world-class team in Mountain View, set the technical direction for agentic AI in commerce, and ship at a pace that matches the opportunity. We have engineering teams across the US, India, Canada, and the UK. Mountain View is the center of gravity for AI leadership. This role reports directly to the Founders. We ship with Claude, GPT-4, and open-source models in production. Our engineers already write the majority of code with AI. Some things are great. Some things need to be rebuilt. The next leader will know the difference. What You'll Do: Build the Future of Commerce AI Architect and evolve the platform for the agentic era. The technical foundation needs to support agents that operate autonomously across content, media, and sales. You will decide what gets built, how it gets built, and what gets thrown away. Push the frontier on AI-assisted development. We already lead most companies in AI code contribution. Claude Code, Cursor, and the next generation of agentic dev workflows should be standard across the org. As a startup, we should be ahead of everyone else on this. Ship AI agents into production with speed and reliability. Our agents are already in Fortune 100 workflows and scaling fast. Engineering needs to deliver new capabilities on a weekly cadence. Be the technical face of the company externally. Our AI Brand positioning depends on engineering leaders who can speak credibly about what we are building. Conference talks, blog posts, recruiting events. Build the Team Recruit and retain world-class engineering talent, starting with Mountain View. You will be measured on the quality of people you bring in and the quality of people you develop. Build a strong engineering leadership bench. We need senior leaders who can independently own large surface areas and represent engineering with authority across the company. Create an environment where the best engineers want to stay, grow, and recruit their friends. Every hire should raise the average. Own Engineering Execution Own product quality, infrastructure efficiency, and engineering velocity. You set the metrics, you hit them. Drive continuous improvement in margins and cost structure. We have already made dramatic improvements in infra costs and product reliability. You will own the next chapter. What You'll Bring: This is not a caretaker role. We need a builder. Here is what matters: You have built and scaled engineering teams. You have taken a team from good to great. You know how to hire senior talent, develop middle managers, and create a culture where A-players attract more A-players. Ideally you have done this at a pre-IPO company scaling through a similar inflection point. You are technical and hands-on. You can go deep on architecture discussions, review technical designs, and earn the respect of senior engineers. You do not need to write code every day, but you need to be able to tell when code is good and when it is not. You are AI-native. You personally use AI development tools. You have opinions about LLM orchestration, agent architectures, and how AI changes the software development lifecycle. You are excited about a world where AI writes most of the code and engineers focus on architecture, judgment, and customer impact. You operate with urgency. Startup pace. Weekly shipping cadence. You do not tolerate multi-month planning cycles for things that should take days. You bias for action and course-correct fast. You are a talent magnet. The best engineers you have worked with want to work with you again. You have a network of strong technical leaders you can bring in. You know the difference between hiring for pedigree and hiring for signal. You want to be in the room. This is an onsite role in Mountain View. You will work closely with the Founders, product, and customer success. Our best decisions happen face-to-face. Compensation and Benefits: Base: Competitive with top-tier Silicon Valley companies. Commensurate with experience. Equity: Significant pre-IPO stock options. This is a leadership seat and the equity reflects that. We are at a stage where senior hires still get meaningful ownership. Benefits: Full medical, dental, vision. 401(k). Unlimited PTO. Location: Mountain View, CA. Onsite. 15 minutes from Stanford campus. Why Join Now: The window is now. The company has product-market fit, revenue, and customers. The AI Labs team is being built right now. In 12 months this team will be set. The founding members will define the culture, the architecture, and the trajectory. This is that moment. Real AI, not AI theater. Most companies are bolting AI onto legacy products and calling it innovation. We are rebuilding the entire platform around autonomous agents. Our agents are already in production, already in customer workflows, already making decisions. If you want to lead a team doing real AI, this is it. Fortune 100 scale. Your decisions will directly affect how 2,200+ brands run their ecommerce. The Fortune 100 uses our platform to manage billions of dollars in commerce. This is not a sandbox. Equity upside. Pre-IPO. $200M+ raised from tier-one investors. The economics of joining at this stage, in this role, are compelling. Check out our LinkedIn page to learn more about what it’s like to work at CommerceIQ!We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other category prohibited by applicable law.

🏢 Summary: Founding engineer role in a greenfield, AI-driven initiative to build an intelligent internal platform that enhances developer experience across coding, debugging, testing, and deployment. The position focuses on designing and integrating LLM-powered agents and infrastructure within a large-scale engineering environment. You will collaborate in a globally distributed team to deliver AI tools embedded into everyday developer workflows. 🗂️ Requirements: Strong hands-on experience in Python, Proven experience integrating or building with LLMs, AI agents, or coding assistants, Ability to design and implement API integrations, Experience building distributed or backend systems, Ability to integrate systems with developer tools and services, Proficiency in English for technical collaboration across time zones, Polyglot programming skills and ability to learn new technologies quickly 📃 Skills: Python, TypeScript, Scala, Java, LLMs, OpenAI, Anthropic, APIs, AWS, GRPC, MySQL, GitHub, Slack, Docker, Kubernetes, CI/CD, GCP 🏢 Description: We foster a dynamic culture rooted in strong engineering, a sense of ownership, and transparency, empowering our team. As part of the expanding VirtusLab Group, we offer a compelling environment for those seeking to make a substantial impact in the software industry within a forward-thinking organization. About the role You will be a founding member of a new, globally distributed team dedicated to a single mission: revolutionizing internal developer experience in a big technical organization (thousands of developers) via AI-based developer tools. Project scope You will be a founding member of a new, globally distributed team dedicated to a single mission: revolutionizing internal developer experience in a big technical organization (thousands of developers) via AI-based developer tools. Think of it as an internal startup, with the freedom to innovate and the stability of an established company. Our goal is to design and build an intelligent platform that assists developers at every stage, from coding and debugging to testing and deployment. Your team will be part of a larger 10-person group, with colleagues in California, Amsterdam, and Poland, organised into three focused sub-teams. This role requires collaboration (few meetings a week) with engineers on the US West Coast to ensure our platform meets the needs of our global team. What you will do Design and implement integrations with cutting-edge Large Language Models (LLMs) and APIs (like OpenAI’s models, Anthropic’s Claude, and more). Develop intelligent, agent-based systems to automate and assist in complex software development tasks. Engineer the core infrastructure for our AI agents, including components like MCP servers. Seamlessly weave AI capabilities into the daily workflows of our developers by integrating with essential tools like GitHub, Slack, IDEs, and client internal services, mostly Scala-based. Collaborate within a distributed, international team to research, prototype, and deploy solutions that have a direct impact on developer productivity and satisfaction. Tech stack This is a greenfield project, which means you’ll have a say in the technologies we choose. Nothing is set in stone. However, our environment and the problem space suggest we’ll be working with: Primary Languages: Python, TypeScript, Scala – based on available APIs and existing integration – but actual stack will be determined as the project progresses. The project will be based on internally developed services and solutions, utilising Scala, Java, AWS, GRPC, MySQL and more. What we expect: Proven polyglot programming skills with the ability to rapidly learn new languages, frameworks, and domains Strong, hands-on experience in Python Hands-on, practical experience building with or integrating LLMs, coding assistants, or AI agents. You should be ready to demonstrate your work or discuss your implementation experience during the interview A proactive, self-starter attitude. You take initiative, communicate clearly, and thrive in a collaborative, goal-oriented environment Excellent communication skills in English and the ability to effectively collaborate with team members in the US West Coast time zone Nice to have: A passion for or prior experience in building developer tools, IDE plugins, or enhancing developer workflows Experience with DevOps practices and tools (CI/CD, Docker, Kubernetes, cloud platforms like GCP or AWS) Familiarity with the MLOps or Data Engineering ecosystem, particularly on the integration and tooling side (we are not looking for model researchers or trainers) A few perks of being with us Building tech community Flexible hybrid work model Home office reimbursement Language lessons MyBenefit points Private healthcare Training Package And a lot more!

🏢 Summary: Join a founding team building an AI-powered internal platform to enhance developer experience across a large-scale engineering organization. The role focuses on designing and integrating LLM-based agents and infrastructure into everyday developer workflows. This greenfield project offers high impact through building intelligent tools that support coding, testing, debugging, and deployment. 🗂️ Requirements: Strong hands-on experience in Python, Practical experience integrating or building with LLMs, AI agents, or coding assistants, Proven polyglot programming ability, Experience designing and implementing API integrations, Ability to collaborate with distributed international teams, Professional proficiency in English 📃 Skills: Python, TypeScript, Scala, Java, AWS, GRPC, MySQL, OpenAI, Anthropic, GitHub, Slack, Docker, Kubernetes, GCP, CI/CD 🏢 Description: We foster a dynamic culture rooted in strong engineering, a sense of ownership, and transparency, empowering our team. As part of the expanding VirtusLab Group, we offer a compelling environment for those seeking to make a substantial impact in the software industry within a forward-thinking organization. About the role You will be a founding member of a new, globally distributed team dedicated to a single mission: revolutionizing internal developer experience in a big technical organization (thousands of developers) via AI-based developer tools. Project scope You will be a founding member of a new, globally distributed team dedicated to a single mission: revolutionizing internal developer experience in a big technical organization (thousands of developers) via AI-based developer tools. Think of it as an internal startup, with the freedom to innovate and the stability of an established company. Our goal is to design and build an intelligent platform that assists developers at every stage, from coding and debugging to testing and deployment. Your team will be part of a larger 10-person group, with colleagues in California, Amsterdam, and Poland, organised into three focused sub-teams. This role requires collaboration (few meetings a week) with engineers on the US West Coast to ensure our platform meets the needs of our global team. What you will do Design and implement integrations with cutting-edge Large Language Models (LLMs) and APIs (like OpenAI’s models, Anthropic’s Claude, and more). Develop intelligent, agent-based systems to automate and assist in complex software development tasks. Engineer the core infrastructure for our AI agents, including components like MCP servers. Seamlessly weave AI capabilities into the daily workflows of our developers by integrating with essential tools like GitHub, Slack, IDEs, and client internal services, mostly Scala-based. Collaborate within a distributed, international team to research, prototype, and deploy solutions that have a direct impact on developer productivity and satisfaction. Tech stack This is a greenfield project, which means you’ll have a say in the technologies we choose. Nothing is set in stone. However, our environment and the problem space suggest we’ll be working with: Primary Languages: Python, TypeScript, Scala – based on available APIs and existing integration – but actual stack will be determined as the project progresses. The project will be based on internally developed services and solutions, utilising Scala, Java, AWS, GRPC, MySQL and more. What we expect: Proven polyglot programming skills with the ability to rapidly learn new languages, frameworks, and domains Strong, hands-on experience in Python Hands-on, practical experience building with or integrating LLMs, coding assistants, or AI agents. You should be ready to demonstrate your work or discuss your implementation experience during the interview A proactive, self-starter attitude. You take initiative, communicate clearly, and thrive in a collaborative, goal-oriented environment Excellent communication skills in English and the ability to effectively collaborate with team members in the US West Coast time zone Nice to have: A passion for or prior experience in building developer tools, IDE plugins, or enhancing developer workflows Experience with DevOps practices and tools (CI/CD, Docker, Kubernetes, cloud platforms like GCP or AWS) Familiarity with the MLOps or Data Engineering ecosystem, particularly on the integration and tooling side (we are not looking for model researchers or trainers) A few perks of being with us Building tech community Flexible hybrid work model Home office reimbursement Language lessons MyBenefit points Private healthcare Training Package And a lot more!

🏢 Summary: Opportunity to join a newly formed, globally distributed team building an AI-powered internal developer platform for a large-scale engineering organization. The role focuses on designing and integrating LLM-based tools and agent systems that enhance coding, testing, and deployment workflows. You will help architect and implement core AI infrastructure and integrations within a greenfield, startup-like environment. 🗂️ Requirements: Hands-on experience integrating or building with LLMs, AI agents, or coding assistants, Strong experience in Scala or another modern JVM language (Kotlin or Java 17+), Proven polyglot programming ability, Experience designing and implementing API integrations, Ability to collaborate in a distributed team across time zones, Professional English communication skills 📃 Skills: Python, TypeScript, Scala, Java, Kotlin, LLM, OpenAI, Anthropic, API, AWS, GRPC, MySQL, GitHub, Slack, Docker, Kubernetes, GCP, CI/CD 🏢 Description: We foster a dynamic culture rooted in strong engineering, a sense of ownership, and transparency, empowering our team. As part of the expanding VirtusLab Group, we offer a compelling environment for those seeking to make a substantial impact in the software industry within a forward-thinking organization. About the role You will be a founding member of a new, globally distributed team dedicated to a single mission: revolutionizing internal developer experience in a big technical organization (thousands of developers) via AI-based developer tools. Project scope You will be a founding member of a new, globally distributed team dedicated to a single mission: revolutionizing internal developer experience in a big technical organization (thousands of developers) via AI-based developer tools. Think of it as an internal startup, with the freedom to innovate and the stability of an established company. Our goal is to design and build an intelligent platform that assists developers at every stage, from coding and debugging to testing and deployment. Your team will be part of a larger 10-person group, with colleagues in California, Amsterdam, and Poland, organised into three focused sub-teams. This role requires collaboration (few meetings a week) with engineers on the US West Coast to ensure our platform meets the needs of our global team. What you will do Design and implement integrations with cutting-edge Large Language Models (LLMs) and APIs (like OpenAI’s models, Anthropic’s Claude, and more). Develop intelligent, agent-based systems to automate and assist in complex software development tasks. Engineer the core infrastructure for our AI agents, including components like MCP servers. Seamlessly weave AI capabilities into the daily workflows of our developers by integrating with essential tools like GitHub, Slack, IDEs, and client internal services, mostly Scala-based. Collaborate within a distributed, international team to research, prototype, and deploy solutions that have a direct impact on developer productivity and satisfaction. Tech stack This is a greenfield project, which means you’ll have a say in the technologies we choose. Nothing is set in stone. However, our environment and the problem space suggest we’ll be working with: Primary Languages: Python, TypeScript, Scala – based on available APIs and existing integration – but actual stack will be determined as the project progresses. The project will be based on internally developed services and solutions, utilising Scala, Java, AWS, GRPC, MySQL and more. What we expect: Proven polyglot programming skills with the ability to rapidly learn new languages, frameworks, and domains. Hands-on, practical experience building with or integrating LLMs, coding assistants, or AI agents. You should be ready to demonstrate your work or discuss your implementation experience during the interview. Strong, hands-on experience in at least one of the following: Scala, or another modern JVM language (e.g., Kotlin, Java 17+). A proactive, self-starter attitude. You take initiative, communicate clearly, and thrive in a collaborative, goal-oriented environment. Excellent communication skills in English and the ability to effectively collaborate with team members in the US West Coast time zone. Nice to have: A passion for or prior experience in building developer tools, IDE plugins, or enhancing developer workflows. Experience with DevOps practices and tools (CI/CD, Docker, Kubernetes, cloud platforms like GCP or AWS). Familiarity with the MLOps or Data Engineering ecosystem, particularly on the integration and tooling side (we are not looking for model researchers or trainers) A few perks of being with us Building tech community Flexible hybrid work model Home office reimbursement Language lessons MyBenefit points Private healthcare Training Package And a lot more!

🏢 Summary: Founding engineer role in a greenfield, AI-driven internal platform aimed at revolutionizing developer experience at scale through LLM-powered tools and agent-based systems. The position focuses on designing and integrating AI capabilities into daily development workflows across a large, globally distributed organization. You will collaborate internationally to build core infrastructure and intelligent automation supporting coding, testing, and deployment processes. 🗂️ Requirements: Hands-on experience building or integrating LLMs, AI agents, or coding assistants, Strong experience in Scala or another modern JVM language, Proven polyglot programming ability, Experience designing and implementing API integrations, Ability to build and maintain backend infrastructure, Fluent English for technical collaboration, Availability for collaboration with US West Coast time zone 📃 Skills: Python, TypeScript, Scala, Java, Kotlin, LLM, OpenAI, Anthropic, API, AWS, GRPC, MySQL, GitHub, Slack, Docker, Kubernetes, GCP, CI/CD 🏢 Description: We foster a dynamic culture rooted in strong engineering, a sense of ownership, and transparency, empowering our team. As part of the expanding VirtusLab Group, we offer a compelling environment for those seeking to make a substantial impact in the software industry within a forward-thinking organization. About the role You will be a founding member of a new, globally distributed team dedicated to a single mission: revolutionizing internal developer experience in a big technical organization (thousands of developers) via AI-based developer tools. Project scope You will be a founding member of a new, globally distributed team dedicated to a single mission: revolutionizing internal developer experience in a big technical organization (thousands of developers) via AI-based developer tools. Think of it as an internal startup, with the freedom to innovate and the stability of an established company. Our goal is to design and build an intelligent platform that assists developers at every stage, from coding and debugging to testing and deployment. Your team will be part of a larger 10-person group, with colleagues in California, Amsterdam, and Poland, organised into three focused sub-teams. This role requires collaboration (few meetings a week) with engineers on the US West Coast to ensure our platform meets the needs of our global team. What you will do Design and implement integrations with cutting-edge Large Language Models (LLMs) and APIs (like OpenAI’s models, Anthropic’s Claude, and more). Develop intelligent, agent-based systems to automate and assist in complex software development tasks. Engineer the core infrastructure for our AI agents, including components like MCP servers. Seamlessly weave AI capabilities into the daily workflows of our developers by integrating with essential tools like GitHub, Slack, IDEs, and client internal services, mostly Scala-based. Collaborate within a distributed, international team to research, prototype, and deploy solutions that have a direct impact on developer productivity and satisfaction. Tech stack This is a greenfield project, which means you’ll have a say in the technologies we choose. Nothing is set in stone. However, our environment and the problem space suggest we’ll be working with: Primary Languages: Python, TypeScript, Scala – based on available APIs and existing integration – but actual stack will be determined as the project progresses. The project will be based on internally developed services and solutions, utilising Scala, Java, AWS, GRPC, MySQL and more. What we expect: Proven polyglot programming skills with the ability to rapidly learn new languages, frameworks, and domains. Hands-on, practical experience building with or integrating LLMs, coding assistants, or AI agents. You should be ready to demonstrate your work or discuss your implementation experience during the interview. Strong, hands-on experience in at least one of the following: Scala, or another modern JVM language (e.g., Kotlin, Java 17+). A proactive, self-starter attitude. You take initiative, communicate clearly, and thrive in a collaborative, goal-oriented environment. Excellent communication skills in English and the ability to effectively collaborate with team members in the US West Coast time zone. Nice to have: A passion for or prior experience in building developer tools, IDE plugins, or enhancing developer workflows. Experience with DevOps practices and tools (CI/CD, Docker, Kubernetes, cloud platforms like GCP or AWS). Familiarity with the MLOps or Data Engineering ecosystem, particularly on the integration and tooling side (we are not looking for model researchers or trainers) A few perks of being with us Building tech community Flexible hybrid work model Home office reimbursement Language lessons MyBenefit points Private healthcare Training Package And a lot more!

🏢 Summary: Strategic Technical Product Manager (Data & AI) role owning the roadmap for customer-facing AI/ML models and data products in a SaaS environment. You will partner with executive clients to co-develop predictive features, translate business problems into technical specifications, and launch high-impact analytics solutions. This role sits at the intersection of data science, engineering, and go-to-market execution, driving measurable ARR growth. 🗂️ Requirements: 3+ years experience in Product Management, Data Analytics, or Data Engineering, Strong SQL skills (joins, aggregations), Experience with modern BI platforms (Sigma, Tableau, or Looker), Ability to translate business problems into technical data requirements, Experience working with AI/ML models or advanced analytics features, Strong understanding of SaaS product metrics and customer ROI 📃 Skills: SQL, Sigma, Tableau, Looker, Snowflake, DBT, Fivetran, Python, R, AI, ML, SaaS, Analytics, Data, Visualization 🏢 Description: We aren’t just looking for someone to manage a backlog; we’re looking for the founding architect of our customer-facing data and AI strategy. As a Technical Product Manager (Data & AI), you will sit at the intersection of Data Science, Engineering, and customer-facing value. This is a highly visible, strategic role where you’ll partner directly with executive-level clients to co-develop predictive models, analytical features, and SaaS data products. WHAT YOU'LL DO Shape the AI & Data Vision - Own the predictive roadmap for external AI/ML models, advanced analytics features, and data products - Co-innovate with strategic customers and design partners to validate ideas and uncover user needs - Partner with UX and Data Science to translate complex algorithms into intuitive data visualizations and impactful demos Execute & Ship with Impact - Translate customer business problems into technical specifications, transformation logic, and data requirements - Collaborate with Product Marketing and Sales to launch features that drive adoption, retention, and ARR expansion - Use data analysis to validate assumptions and test product hypotheses before development WHAT YOU’LL BRING - 3+ years of experience in Product Management, Data Analytics, or Data Engineering - Strong business and product acumen with ability to connect technical features to customer ROI - SQL fluency, including writing joins and aggregations - Experience with modern BI platforms such as Sigma, Tableau, or Looker - Ability to communicate effectively with executive clients, sales teams, engineers, and data scientists NICE TO HAVE - Experience with modern data stack tools such as Snowflake, DBT, Fivetran, and Sigma - Familiarity with Python or R for lightweight data analysis - Exposure to machine learning lifecycle or productionized models - Experience in complex B2B SaaS industries BENEFITS - Health and dental insurance - 401k with company match - Flexible Time Off or generous PTO plan - Paid holidays and up to 4 weeks paid bonding leave - Tuition reimbursement - Employee Assistance Program - 24/7 virtual medical care access

🏢 Summary: The role is for a technically strong software engineer with hands-on AI and LLM experience who actively integrates AI coding tools and agentic workflows into the full software development lifecycle. The position focuses on designing, building, and shipping production-grade systems while leveraging prompt engineering and AI automation to improve quality and speed. The engineer is expected to take ownership of production outcomes and continuously evaluate and adopt emerging AI technologies. 🗂️ Requirements: Solid experience in backend, frontend, or full-stack development, Proficiency in at least one modern programming language and framework, Experience working with APIs, distributed systems, and integrations, Strong knowledge of testing practices and software design principles, Hands-on experience using AI coding tools in real development projects, Practical understanding of LLM behavior, limitations, and trade-offs, Experience with prompt engineering for reliable AI output, Familiarity with AI agents and workflow automation, Understanding of LLM constraints such as context windows, token costs, and latency 📃 Skills: AI, LLM, Prompting, Agents, APIs, DistributedSystems, Testing, Automation, Backend, Frontend, FullStack 🏢 Description: At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.ABOUT NICE NiCE is a global leader in cloud platforms for customer experience and contact center technology, serving over 25,000 organizations worldwide. We help businesses deliver smarter, faster, and more human interactions — at scale. Our engineering teams are at the center of that mission, building the products and platforms that transform how companies engage with their customers. THE ROLE We're looking for a technically strong engineer who is genuinely excited about AI — not because it's a trend, but because they've already been using it to do better work and they want to go further. This person doesn't wait for training programs or permission to level up. They experiment on their own, stay ahead of what's available, and bring what they learn back to the team. You have real engineering depth — you know how to design systems, write code that holds up in production, and solve hard problems. You also have real AI experience: you've worked with LLMs and AI tools in ways that go beyond surface-level prompting. You understand the trade-offs, you've seen where these tools break down, and you've figured out how to get the most out of them anyway. What sets you apart is the hunger. You're the kind of engineer who reads the release notes, follows what's shipping in the AI space, and finds ways to apply it before anyone asks you to. You want to be at the front of where this is going — and you're willing to put in the work to get there. WHAT YOU'LL DO Design, build, test, and ship software across the full development lifecycle Use AI coding tools and Agentic AI Workflows actively in your day-to-day work — for code generation, review, testing, debugging, and documentation Write clean, well-structured, Code and/or specification docs, leveraging AI as a partner, and also take responsibility for its quality in production. Take responsibility for its quality in production Collaborate with product managers, designers, and other engineers to understand requirements and deliver working solutions Apply prompt engineering and Agentic coding techniques to accelerate your work and improve output consistency Participate in code reviews, technical discussions, and team planning Evaluate and adopt new AI tools and approaches as the landscape evolves Contribute to shared engineering standards and help raise the bar for how the team uses AI WHAT WE'RE LOOKING FOR Engineering Fundamentals Solid experience in backend, frontend, or full-stack software development Proficiency in one or more modern programming languages and frameworks Comfortable working with APIs, distributed systems, and software integrations Strong understanding of testing practices, code quality, and software design principles AI & LLM Experience Hands-on experience using AI coding tools in real development work — not just exploration or hobby projects Practical knowledge of how LLMs work, where they're effective, and where they fall short Experience with prompt engineering — writing, iterating, and evaluating prompts for reliable output Familiarity with agents, tool use, or AI-assisted workflow automation Working understanding of LLM constraints: context windows, token costs, latency, and output variability Communication & Collaboration Communicates clearly in both technical and non-technical conversations Writes documentation, specs, and code comments that others can actually use Works well in cross-functional teams and gives constructive code review feedback Takes ownership end-to-end — not just the assigned task, but the outcome NICE TO HAVE Experience in CX, contact center, or enterprise SaaS environments Familiarity with CCaaS platforms, voice/chat AI, or customer-facing AI products Exposure to building or tuning agentic systems or multi-step AI pipelines Experience contributing to shared tooling, internal platforms, or developer experience improvements WHAT TO EXPECT AT NICE A team that treats AI fluency as a professional standard — you won't be the only one who takes this seriously Access to modern AI tools, frameworks, and the space to experiment and improve how you work Real ownership — you'll be trusted to make decisions and see your work through to production A culture of continuous improvement, where how we build is as important as what we build Clear paths to grow into specialized engineering roles as your skills and interests develop READY TO APPLY? If you're a strong engineer who uses AI as a genuine part of how you work — not as a buzzword — we'd like to hear from you. We care more about what you've built and how you think than where you went to school or what your title was. NiCE is an equal opportunity employer. We celebrate diversity and are committed to building an inclusive environment for all employees.About NiCE NICELtd. (NASDAQ: NICE)software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences,fight financial crimeand ensure public safety.Every day, NiCE software managesmore than120 million customer interactions and monitors3+billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.

🏢 Summary: The offer is for a senior GenAI/ML Platform Architect to design and scale an enterprise Digital Ecosystem focused on e-commerce and digital services. The role centers on building and governing RAG-based and agentic AI platforms, establishing LLMOps practices, and enabling secure, compliant, and cost-efficient AI solutions in a global environment. The candidate will lead architecture, lifecycle standards, and integration of multi-agent systems across cloud-native infrastructure. 🗂️ Requirements: 5+ years in MLOps or platform architecture with delivered AI systems, Proficient in Python, Experience with at least one major cloud provider (AWS, Azure, or GCP), Hands-on experience with containers and Kubernetes, Experience with Infrastructure-as-Code tools, Designing scalable ML pipelines for training and deployment, Proven CI/CD implementation for ML/GenAI systems, Experience with RAG architectures and vector databases, Experience with agent orchestration frameworks, Operationalizing multi-agent systems with guardrails and human-in-the-loop, Process automation and enterprise system integrations, Upper-intermediate English level 📃 Skills: Python, AWS, Azure, GCP, Kubernetes, Terraform, CI/CD, MLOps, LLMOps, RAG, LangGraph, SemanticKernel, MCP, VectorDB, Docker, IaC 🏢 Description: Make retail great again through the power of technology! Intellias helps retailers provide consistent and customer-centric shopping experiences across all channels with disruptive retail tech solutions. Get on board and make your own contribution to the industry! Project Overview: Our client is the fastest-growing global manufacturing company. An international corporation with over a hundred years of history, internationally recognized brands and Reduced-Risk Products. Intellias' mission is to support its strategy and efforts in the Digital and e-commerce space (e-commerce and other apps mobile apps, payment gateways, loyalty system, search engine, employee management, identity management, etc.). A newly conceptualized Digital Eco System is comprised of a set of capabilities including an online shop & website, linking online & offline, customization & personalization, engagement & membership, digital product & services main differences. Responsibilities: Lead discovery with stakeholders and define adoption roadmaps and reference architectures Set lifecycle practices for GenAI (LLMOps) Architect retrieval and provider layers (RAG, vector stores, model gateways) with portability, cost, and compliance in mind Implement RAG/agent workflows that orchestrate tool-calling, retrieval, and grounded answering Enable agentic applications at platform level and define solution patterns and evaluation gates (standardized tools, routing, shared memory, HIL, safe fallbacks) aligned with enterprise integration, security, and cost Set standards for ingestion, chunking, embedding, and indexing pipelines; select and tune vector databases for retrieval Establish CI/CD, Infrastructure-as-Code, observability, and automated testing Define governance and safety guardrails Establish environment strategy and promotion paths, and a clear handover plan to client teams Package reusable patterns/accelerators, mentor engineers, and support presales and proposals Requirements: 5+ years in MLOps/platform architecture or adjacent roles, with shipped AI systems Proficient Python and strong software engineering principles Deep experience with at least one major cloud (AWS/Azure/GCP) and platform engineering (containers, Kubernetes, IaC such as Terraform) Experience in designing and guiding scalable machine learning pipelines for model training, validation, and deployment Proven CI/CD design for GenAI/ML (evaluation gates, versioning, canary, rollback) and collaboration with security/governance stakeholders Sound judgement selecting RAG/vector and provider stacks based on performance, cost, compliance, and portability Agent orchestration frameworks (e.g., LangGraph/Semantic Kernel) and tooling protocols (e.g., MCP) Experience operationalizing multi-agent systems (tools/routing/memory/guardrails, human-in-the-loop) Process automation and enterprise integrations Excellent communication and interpersonal skills to collaborate effectively with cross-functional teams, stakeholders' leadership Upper-intermediate level of English Nice to have: Master or higher degree in Computer Science, Engineering, or related field On-prem LLM deployments; performance and cost tuning with caching and model routing AI safety, policy, and compliance experience in sensitive environments Public speaking and enablement and building reusable accelerators Domain exposure in automotive, retail, manufacturing, healthcare, energy, finance, or telecom Perks and Benefits: Flexible work schedule Fixed financial bonus issued upfront on a quarterly basis, covering the average market price of private medical care and sport card - B2B contract Present on the occasion of birthday, wedding, child birth E-learning accounts for Coursera, O'Relly, Udemy Corporate language school