Technical Product Manager - AI & Data Analytics

🏢 Summary: Technical Product Manager role leading end-to-end delivery of AI and LLM-powered solutions integrated with SAP enterprise systems. Responsible for translating business needs into technical execution, coordinating cross-functional teams, and ensuring successful deployment from POC to MVP. Focused on integrating AI solutions within complex SAP landscapes and multi-component architectures. 🗂️ Requirements: 5+ years in product management, technical program management, or engineering leadership, Strong understanding of GenAI, LLMs, AI agents, vector databases, Experience integrating AI solutions with SAP (S/4HANA, ECC, BTP), Experience with SAP data extraction and API/OData integrations, Ability to document technical requirements and data flows, Experience coordinating complex technical deliveries, Stakeholder management with senior executives 📃 Skills: GenAI, LLM, SAP, S/4HANA, ECC, BTP, OData, APIs, VectorDB, AI, POC, MVP 🏢 Description: Technical Product Manager – AI / SAP Integration Role Overview: We are seeking a Technical Product Manager to drive AI- and LLM-powered solutions from concept to deployment. You will act as the owner of AI initiatives, translating business goals into technical execution, coordinating cross-functional teams, and keeping stakeholders aligned throughout the lifecycle. Key Responsibilities: Lead end-to-end delivery of AI/LLM use cases, from requirements and POCs to MVPs. Integrate AI solutions with enterprise systems, including SAP (S/4HANA, ECC, SAP BTP), aligning with existing processes and architecture. Collaborate closely with business stakeholders, providing updates, demos, and maintaining transparent communication. Document technical and business requirements, including data flows, transformations, and AI outputs. Coordinate developers, architects, designers, and data teams to ensure solutions meet expectations. Manage multiple initiatives simultaneously, prioritizing effectively and ensuring smooth execution. Support operational readiness until formal support structures are in place. Qualifications & Experience: 5+ years in product management, technical program management, or engineering leadership. Solid technical understanding of GenAI / LLMs, multi-component architectures, AI agents, and vector databases. Experience integrating AI solutions with SAP, including data extraction, API/OData integrations, and working with SAP functional/technical teams. Exceptional stakeholder management skills and ability to communicate effectively with senior executives. Proven track record coordinating complex technical deliveries and removing roadblocks proactively.

🏢 Summary: Technical Product Manager role owning data and AI-driven products, including business intelligence and embedded reporting features built on a commerce data platform. The position focuses on defining product strategy, refining AI-generated requirements, translating business needs into data models and workflows, and partnering closely with engineering. It emphasizes strong technical depth, SQL expertise, and hands-on involvement in architecture, data governance, and customer-facing solutions. 🗂️ Requirements: 5+ years of product management or equivalent experience in engineering, data, or analytics, Strong technical background with understanding of system architecture, APIs, and integrations, Proficiency in SQL, Ability to work with data models, schemas, and table-level structures, Experience translating business needs into actionable product requirements, Experience collaborating with engineering and data teams on technical or platform products, Strong problem-solving and decision-making skills, Experience engaging with customers or external stakeholders in a technical capacity, Ability to pass background check, Ability to pass credit check 📃 Skills: SQL, APIs, DataModeling, SystemArchitecture, BusinessIntelligence, Reporting, Snowflake, Sigma, AI, LangChain, DataGovernance, SemanticModeling, DataQuality, Analytics, Integrations 🏢 Description: The Technical Product Manager (TPM) is a deeply technical role focused on defining the right problems, shaping high-quality product requirements, and partnering with engineering to deliver customer-impacting solutions. This role operates within an AI-enabled product model, where initial requirements and workflows may be generated by AI. The TPM is responsible for validating, refining, and ensuring those outputs are accurate, complete, and aligned with both technical and business realities. You will own products within the data and AI portfolio, including business intelligence, embedded reporting, and AI-powered features built on top of a commerce data platform. This role requires strong product judgment, technical depth, and a clear understanding of how data structures drive product outcomes. This is not a project or delivery role. It is focused on product ownership, technical decision-making, and delivering meaningful customer value. Quick Facts - Full-time role - Background check required - Credit check required Job Responsibilities - Own specific product lines, features, or datasets within a defined domain - Define product strategy, roadmap, and lifecycle across data and AI-driven products - Validate incoming requests from sales, engineering, and customers, separating true problems from noise - Partner directly with customers and internal stakeholders to understand needs, constraints, and use cases - Refine AI-generated product requirements and workflows for accuracy, completeness, and usability - Translate complex business problems into structured workflows, data models, and decision logic - Produce clear, implementation-ready product specifications, including requirements, data contracts, and acceptance criteria - Ensure requirements reflect system architecture, dependencies, integrations, and real-world constraints - Participate in architecture and design discussions, making informed technical tradeoffs - Own embedded BI and reporting capabilities, ensuring dashboards and data products are accurate, performant, and valuable - Ensure strong data governance, including semantic consistency, data quality, and reliability across product surfaces - Collaborate closely with engineering, data, and business teams to deliver high-quality product outcomes - Stay engaged throughout execution to resolve questions, guide decisions, and ensure alignment to product intent - Incorporate production feedback and customer insights into future product iterations Required Qualifications - 5+ years of experience in product management or equivalent experience in engineering, data, or analytics roles - Strong technical background with the ability to understand system architecture, APIs, and integrations - Proficiency in SQL and the ability to work directly with data models, schemas, and table-level structures - Demonstrated ability to translate customer and business needs into clear, actionable product requirements - Experience working closely with engineering and data teams on technical or platform-based products - Strong problem-solving skills and ability to make and own decisions in high-autonomy environments - Experience engaging with customers or external stakeholders in a technical capacity Preferred Qualifications - Experience in payments, fintech, or enterprise SaaS environments - Experience building or shipping data products, analytics platforms, or BI/reporting solutions - Familiarity with modern data platforms (such as Snowflake) and BI tools (such as Sigma) - Experience working in AI-enabled or automation-driven product environments - Strong understanding of AI product principles, including semantics, grounding, and data quality - Familiarity with agentic AI frameworks or orchestration tools (such as LangChain or similar) - Experience with data governance, semantic modeling, and data quality frameworks - Strong ability to identify gaps, edge cases, and risks in product or technical designs - Experience supporting complex customer or partner integrations - Ability to influence cross-functional teams without owning delivery execution Benefits - Medical, prescription, dental, and vision coverage - Life insurance - Retirement plans with company match - Commission sharing plan - Flexible hybrid working environment - Parental and other leave programs - Opportunities for professional growth and upward mobility

🏢 Summary: Senior Technical Product Manager role focused on analytics products for conversational AI platforms, including data services, reporting tools, and AI-driven insights. The position involves defining product strategy, managing analytics roadmaps, and collaborating with engineering and data science teams to deliver scalable SaaS analytics solutions. Fully remote role with benefits, focused on enterprise-scale conversational data and analytics capabilities. 🗂️ Requirements: Bachelor's degree in Computer Science, Engineering, Business, or related field, 7+ years of product management experience, Experience with SaaS analytics and reporting products, Understanding of data warehousing and BI tools, Knowledge of high-scale data processing, Experience with event-driven architectures, Knowledge of cloud infrastructure, Experience developing product strategy and roadmaps, Strong analytical and data interpretation skills, Experience working with enterprise customers, Ability to collaborate with cross-functional technical teams 📃 Skills: SaaS, Analytics, ETL, BI, AI, ML, Cloud, SQL, Datawarehousing, Reporting, Visualization, KPIs 🏢 Description: Position Overview As a Senior Technical Product Manager, you will join the Analytics Product team and be responsible for the Analytics suite, including Data services, Analytics Studio, Report Center, and Data Transporter. The core responsibility is to define the strategy and execution for tools and services that leverage conversational data to provide actionable customer and internal insights. As the Senior Product Manager for Analytics, you will lead the development and execution of Analytics capabilities, focusing on leveraging conversational data to provide actionable customer and internal insights. You will collaborate closely with cross-functional teams, including Engineering, Data Science, Sales, and Customer Success, to define product strategy, prioritize features, and deliver innovative solutions that ensure scalability, reliability, and best-in-class experiences for brands. Key Responsibilities & Impact - Develop and articulate a clear product vision and strategy for the end-to-end Analytics platform, ensuring it empowers customers and internal teams to gain actionable insights from conversational data. - Define, review, and prioritize features for the Analytic Studio/Builder and Report Center, focusing on an intuitive user experience for data exploration, visualization, and report scheduling. - Manage the product roadmap for Data Services and Data Transporter, guaranteeing the timely, accurate, and scalable ingestion and preparation of petabyte-scale conversational data streams. - Work closely with Data Science and Engineering teams to integrate Conversational Intelligence (AI/ML-derived insights) features directly into the core analytics products. - Define and track key performance indicators (KPIs) and data quality metrics for all data pipelines and analytic tools, ensuring high data reliability, freshness, and tool usage. - Act as the primary interface between Analytics users (internal and external) and the Data Engineering teams, translating complex data requirements into clear, technical specifications. Required Skills & Qualifications - Bachelor's degree in Computer Science, Engineering, Business, or a related field (MBA preferred). - 7+ years of experience in product management, with a track record of successfully launching and managing SaaS analytics and reporting products or platforms. - Deep understanding of data warehousing, business intelligence (BI) tools, reporting systems, high-scale data processing, event-driven architectures, and cloud infrastructure. - Proven ability to develop and execute product strategy for data and analytics products, prioritize features, and drive product roadmap planning in a fast-paced, agile environment. - Strong analytical skills, with the ability to gather and interpret data, identify trends in product usage, and make data-driven decisions. - Excellent communication, collaboration, and leadership skills, with the ability to influence and inspire cross-functional teams. - Experience working with enterprise customers on their reporting and analytics needs. - Passion for innovation, creativity, and solving complex data and reporting challenges. Product Coverage Scope - Report Center & Analytic Studio/Builder: Tools for creating, visualizing, and sharing reports, dashboards, and custom analytics using conversational data. - Data Transporter & Data Services: Infrastructure and pipelines for extracting, transforming, and loading (ETL) large volumes of raw conversational data into analytical data stores. - Conversational Intelligence Analytics: Features that leverage AI/ML to derive insights from conversations, such as sentiment analysis, topic clustering, and intent detection. Salary The salary range for this role is between $110,000 to $125,000 USD. Benefits & Perks Health & Wellbeing - Medical, Dental, and Vision Insurance - Wellness resources and Employee Assistance Program (EAP) Financial Security & Growth - 401(k) retirement plan with employer match - HSA & FSA plans - Employee Stock Purchase Program (ESPP) - Additional insurance coverage options - Professional development resources Time Away & Family Support - Flexible Paid Time Off (PTO) - Paid public holidays - Generous parental leave policy Workplace Flexibility - Fully remote work model with optional collaborative workspace access Equal Opportunity Employer The company is committed to fostering an inclusive workplace and providing reasonable accommodations for applicants with disabilities.

🏢 Summary: AI Product Manager role focused on defining and delivering AI-enhanced capabilities for a framework-agnostic UI component library, embedding agentic workflows and automated SDLC tooling into engineering practices. The position owns the product roadmap, backlog, and stakeholder alignment to drive measurable outcomes in an AI-powered development environment. 🗂️ Requirements: 3+ years experience as Product Owner or Product Manager in software engineering, Experience managing complex backlogs across multiple workstreams, Strong knowledge of Scrum and Kanban frameworks, PMBOK knowledge, Working knowledge of AI/LLM-powered tooling and prompt engineering, Understanding of agentic workflows and MCP concepts, Experience with CI/CD pipelines and SDLC automation, Experience with GitLab and automated code review tools, Ability to define acceptance criteria for AI features, Experience with delivery metrics and data-driven prioritization, Ability to produce PRDs and structured technical documentation, Business-level English (C1+) 📃 Skills: AI, LLM, MCP, CI/CD, GitLab, Scrum, Kanban, PMBOK, SDLC, LangChain, SemanticKernel, CrewAI, PowerBI, Grafana, Stencil, HTML 🏢 Description: (#5027) About the Role: AI Product Manager responsible for driving the success of AI products by combining expertise in product management principles with a deep understanding of AI technologies and their applications. We are looking for an AI-savvy Product Manager to join the project programme for our Client. The Engineering team builds and maintains a framework-agnostic UI component library used across Client’s software products, and is now actively embedding AI-assisted workflows, MCP-based agentic infrastructure, and automated SDLC tooling into its engineering practice. In this role you will own the product backlog, define and prioritise the roadmap for AI-enhanced capabilities, align cross-functional stakeholders (engineering, architecture, Client’s PMs), and drive measurable delivery outcomes in a fast-moving agentic tooling context. About the Client: Our Client is the largest engineering company in Europe, and holds the position of global market leader in industrial AI, automation, and industrial software. Become a part of Client’s innovation department which is creating and managing cutting-edge technical architectures, serves as a shared platform for research and development within Client's large organization. It primarily focuses on research and development including broad incorporation of Artificial Intelligence (AI), cloud-based software, high-performance computing, etc. Responsibilities: Product Strategy & Roadmap Define and maintain the AI product roadmap for the  UI component library product, aligned with Client’s Digital Innovation department’s strategic objectives. Translate business goals and engineering insights into a prioritised, well-groomed backlog using PMBOK and agile best practices. Lead quarterly UI component library roadmap reviews with stakeholders and N-iX leadership. AI & Agentic Infrastructure Ownership Own the product definition for AI-integrated SDLC tooling: issue analysers, GitLab analytics skills, Claude Code agents, MCP server configurations, and automated reporting pipelines. Work closely with the UI Architect, Engineering Leads to evaluate and prioritise new AI capabilities for integration into the  UI component library development lifecycle. Define acceptance criteria for agentic features, including observable behaviour, error handling, and handoff points between human and AI agents. Backlog & Delivery Management Manage and refine a complex backlog spanning UI components, AI tooling, DevOps automation, and platform quality. Coordinate and execute releases planning and scope management Aligning on business needs, performing AI-analysis for advancing the prioritization process, ensuring the issues and new features are structured and validated with business stakeholders/consumers. Stakeholder Alignment & Communication Act as the primary bridge between Client’s product stakeholders and the vendor’s and N-iX’s engineering teams, ensuring clear, timely, and transparent communication. Produce executive-level product roadmaps reports aligned to Company’s brand guidelines. Identify, track, and escalate risks and dependencies in the delivery timeline. Consumer & Quality Focus Maintain the consumer-facing  UI component library roadmap based on user requests and feedback; facilitate correction actions for input requirements from component consumers. Champion quality gate automation, testing framework improvements, and CI/CD pipeline coverage as product-level acceptance criteria. Key Skills & Requirements: Product Ownership 3+ years of experience as a Product Owner or Product Manager in a software engineering environment. Proven track record of managing complex backlogs with competing priorities across multiple workstreams. Strong command of agile frameworks (Scrum, Kanban) and PMBOK knowledge areas. AI & Technical Fluency Working knowledge of AI/LLM-powered tooling - including prompt engineering, agentic workflows, and MCP (Model Context Protocol) concepts. Ability to define product requirements for AI features without requiring deep ML expertise; comfort working alongside AI infrastructure and agent teams. Familiarity with modern SDLC automation: CI/CD pipelines, GitLab, automated code review, AI-assisted issue triage, and analytics-driven PM. Stakeholder & Delivery Management Demonstrated ability to manage enterprise stakeholders in a distributed, multi-vendor delivery model. Experience translating technical delivery progress into executive-ready communications (status reports, roadmap decks, risk registers). Data-driven mindset: comfortable with delivery metrics (cycle time, throughput, burndown, eNPS) as inputs to backlog prioritisation. Communication & Documentation Excellent written and verbal communication in English (business-level required; C1+). Ability to produce well-structured PRDs, discovery outputs, acceptance criteria, and stakeholder presentations. Nice to have: Experience with UI platform or design system products (component libraries, Stencil.js, web components). Familiarity with MCP server architecture, LLM agent orchestration frameworks (LangChain, Semantic Kernel, CrewAI), or agentic infrastructure patterns. Background working within large enterprise engineering organisations. Experience using AI-powered PM analytics or GitLab data pipelines for project health reporting. Proficiency with data visualisation tools (Power BI, Grafana, custom HTML/PDF reports). Certifications: Advantageous AI Product Management certification (e.g., Pragmatic Institute AI PM, Product School AI PM Certificate) ITIL 4 Foundation — for service and change management context in enterprise delivery

🏢 Summary: Senior Technical Product Manager role focused on building and scaling analytics products for conversational AI data, including reporting tools, data services, and AI-driven insights. The position involves defining product strategy, managing analytics roadmaps, and collaborating with engineering and data science teams in a fully remote environment. 🗂️ Requirements: Bachelor's degree in Computer Science, Engineering, Business, or related field, 7+ years of product management experience, Experience launching and managing SaaS analytics and reporting products, Understanding of data warehousing and BI tools, Knowledge of reporting systems and high-scale data processing, Experience with event-driven architectures and cloud infrastructure, Ability to define product strategy and manage product roadmaps, Strong analytical and data-driven decision-making skills, Experience working in agile environments, Experience collaborating with Data Engineering and Data Science teams, Experience with enterprise customer reporting and analytics needs 📃 Skills: SaaS, Analytics, BI, ETL, AI, ML, SQL, Cloud, KPIs, Datawarehousing, Reporting, Visualization, Agile 🏢 Description: As a Senior Technical Product Manager, you will join the Analytics Product team and be responsible for the Analytics suite, including Data Services, Analytics Studio, Report Center, and Data Transporter. The role focuses on defining strategy and execution for tools and services that leverage conversational data to provide actionable customer and internal insights. Position Overview You will lead the development and execution of Analytics capabilities, collaborating with Engineering, Data Science, Sales, and Customer Success teams to define product strategy, prioritize features, and deliver scalable and reliable analytics solutions. Key Responsibilities & Impact - Develop and articulate a clear product vision and strategy for the end-to-end Analytics platform. - Define, review, and prioritize features for the Analytic Studio/Builder and Report Center. - Manage the product roadmap for Data Services and Data Transporter. - Ensure timely, accurate, and scalable ingestion and preparation of petabyte-scale conversational data streams. - Collaborate with Data Science and Engineering teams to integrate AI/ML-driven insights into analytics products. - Define and track KPIs and data quality metrics for data pipelines and analytic tools. - Translate complex data requirements into clear technical specifications. Required Skills & Qualifications - Bachelor's degree in Computer Science, Engineering, Business, or a related field (MBA preferred). - 7+ years of experience in product management with SaaS analytics and reporting products. - Deep understanding of data warehousing, BI tools, reporting systems, high-scale data processing, event-driven architectures, and cloud infrastructure. - Ability to define and execute product strategy in a fast-paced agile environment. - Strong analytical and communication skills. - Experience working with enterprise customers on analytics and reporting needs. - Passion for solving complex data and reporting challenges. Product Coverage Scope - Report Center & Analytic Studio/Builder: Tools for creating, visualizing, and sharing reports and dashboards. - Data Transporter & Data Services: ETL infrastructure and pipelines for conversational data. - Conversational Intelligence Analytics: AI/ML-powered insights such as sentiment analysis, topic clustering, and intent detection. Salary - Salary range: $110,000 to $125,000 USD. Benefits & Perks Health & Wellbeing - Medical, Dental, and Vision Insurance. - Wellness resources and Employee Assistance Program. Financial Security & Growth - 401(k) retirement plan with employer match. - HSA & FSA plans. - Employee Stock Purchase Program. - Life, disability, legal, and identity protection insurance. - Professional development resources. Time Away & Family Support - Flexible Paid Time Off. - Paid public holidays. - Generous parental leave policy. Workplace Flexibility - Fully remote work model with optional WeWork collaboration spaces. Equal Opportunity Employer The company is committed to fostering an inclusive workplace and providing equal employment opportunities for all qualified applicants. Accessibility Commitment Reasonable accommodations are available for applicants with disabilities.

🏢 Summary: Senior Product Manager role focused on building and enhancing AI-driven CRM capabilities that improve selling workflows, productivity, and pipeline visibility. The position partners cross-functionally to deliver enterprise SaaS features across desktop and mobile experiences. The goal is to create intelligent, intuitive products that drive user adoption and measurable business impact. 🗂️ Requirements: 5+ years of product management experience, Experience delivering commercial, customer-facing software products, Proven track record shipping enterprise SaaS products, Experience in CRM, CX, or related domains, Strong understanding of user workflows and system design, Experience with data-driven product development, Bachelor’s degree in Computer Science, Engineering, Business Administration, or related field 📃 Skills: CRM, SaaS, AI, UX, Mobile, Desktop, Data, SystemDesign 🏢 Description: We’re looking for a highly skilled Senior Product Manager to define, build, and enhance key capabilities across our product portfolio. In this role, you will help shape modern selling experiences by improving CRM workflows, applying AI to increase seller productivity, and delivering insights that help managers monitor pipeline health, improve forecast accuracy, and act on risks and opportunities. You will work across desktop and mobile experiences to create intuitive, intelligent products that drive user adoption and business impact. Impact You Will Make in the Role: Design for Real-World Selling Workflows: Build intuitive CRM experiences that help sellers efficiently manage accounts, opportunities, and activities across desktop and mobile, with a strong understanding of how users actually work day to day. Apply AI to Improve Productivity: Identify opportunities to surface the right signals, recommend next-best actions, and create conversational experiences that help sellers and managers prepare, decide, and act more effectively. Enable Better Team Performance: Deliver manager-facing capabilities that provide visibility into pipeline health, improve forecast accuracy, and highlight the risks and opportunities that need attention. Drive Cross-Functional Product Execution: Partner across Engineering, UX, Architecture, and Go-To-Market teams to translate customer needs, product signals, and business priorities into clear strategy, requirements, and measurable outcomes. What You Will Bring: 5+ years of product management experience building and delivering commercial, customer-facing software products Proven success shipping enterprise SaaS products, ideally within CRM, CX, or adjacent domains Strong understanding of user workflows, system design, and data-driven product development Excellent communication, stakeholder management, and product storytelling skills Bachelor’s degree in Computer Science, Engineering, Business Administration, or related field; MBA a plus Benefits and Perks: Excellent healthcare package for you and your family Savings and Investment – 401(k) match Unlimited Paid Time Off Paid Parental Leave Online Legal Services (Rocket Lawyer) Financial Planning Services (Origin) Discounted Pet Insurance (Embrace Pet Insurance) Corporate Benefit Program (Working Advantage) with exclusive travel and entertainment offers and special discounts Health and Wellness Reimbursement Program Travel Discounts Educational Resources – Career & Personal Development Program Employee Referral Bonus Program Merit-based career growth opportunities

🏢 Summary: Senior Product Engineer role focused on building full-stack applications, AI-assisted workflows, automation systems, and cloud infrastructure in a remote-first environment. The position emphasizes end-to-end ownership, AI-native development practices, and delivering measurable business impact across multiple technical domains. 🗂️ Requirements: Experience building production web applications, Experience with modern application frameworks, Experience designing A/B testing frameworks, Knowledge of cloud infrastructure, Experience with relational databases and query optimization, Proficiency with Git-based workflows and CI/CD, Ability to use AI-assisted development tools in production, Strong architectural and systems thinking, Ability to independently deliver complex software systems, Authorization to work in the United States 📃 Skills: PHP, Python, TypeScript, Laravel, Astro, AWS, Cloudflare, MySQL, Datadog, PostHog, Git, CI/CD, LLMs, RAG, Embeddings, Containerization, Orchestration 🏢 Description: What makes TechnologyAdvice unique is the breadth of problems our teams solve. Our engineers work across content platforms, data products, AI-powered workflows, lead generation systems, revenue operations, analytics, and internal business tools. Rather than being confined to a single product area, engineers have the opportunity to create impact across nearly every part of the business. Our Engineering Team builds and maintains the platforms, data pipelines, automation systems, and infrastructure that power the company. We believe exceptional engineers create value by solving business problems, not just writing code, and we empower our teams to work directly with stakeholders to identify opportunities and deliver solutions. We are a lean, high-leverage engineering organization where individual engineers can have outsized influence on company outcomes. Unlike many engineering roles focused on a single product, you'll have the opportunity to work across content platforms, revenue systems, AI workflows, analytics, automation, and internal business tools. We value ownership, execution, and business impact over years of experience. Exceptional candidates who consistently turn ideas into production systems and demonstrate extraordinary leverage through AI-assisted development are encouraged to apply. The opportunity We're seeking a Senior Product Engineer who uses AI as a core part of their engineering workflow. You'll leverage modern AI tools to accelerate software delivery while maintaining high standards for architecture, reliability, security, and maintainability. We believe exceptional engineers can create outsized business impact when empowered by modern AI tools, and we're building around that philosophy. As an individual contributor on our distributed team, you'll independently identify opportunities, define solutions, and deliver systems from concept to production. You'll work across the full lifecycle of software development—including discovery, architecture, implementation, deployment, and ongoing iteration—while collaborating closely with engineers, business stakeholders, and operational teams throughout the organization. Success in this role is measured by business impact, speed of execution, quality of solutions, and the ability to independently identify and deliver high-value opportunities. If you thrive in ambiguity, enjoy solving real business problems, and are excited by the idea of using AI to increase your engineering leverage, we'd love to talk. The best candidates for this role are naturally curious, highly autonomous, and energized by identifying opportunities that others overlook. What you'll do - Apply AI-assisted development practices to rapidly prototype, validate, and ship production-ready solutions - Identify opportunities across the business where software, automation, data, or AI can create meaningful operational, product, or revenue impact - Own solutions end-to-end—from discovery and scoping through architecture, implementation, deployment, measurement, and ongoing iteration - Collaborate directly with business stakeholders to understand problems, define solutions, communicate trade-offs, and measure outcomes - Design, build, and maintain full-stack applications, backend services, automations, and internal tools that drive business value - Contribute to architectural decisions, technical strategy, and long-term platform evolution - Work directly with cloud infrastructure and edge platforms, including AWS and Cloudflare - Monitor, troubleshoot, and improve system reliability, observability, performance, and operational excellence - Conduct thoughtful code reviews, uphold high engineering standards, and mentor other engineers - Continuously evaluate new technologies, AI capabilities, and development practices that can increase team effectiveness and engineering leverage Who you are Product Ownership & Execution - Demonstrated ability to move from ambiguous business problems to deployed solutions, collaborating directly with stakeholders throughout discovery, delivery, and measurement - Proven track record of independently delivering complex software systems and business outcomes with minimal oversight - Strong judgment in evaluating build-vs-buy decisions and identifying opportunities to leverage existing platforms, automation, and AI before building custom solutions AI-Native Engineering - Demonstrated ability to effectively leverage AI-assisted development tools in production environments while maintaining high standards for quality, security, performance, and maintainability - Strong systems thinking and architectural judgment to validate, refine, and extend AI-generated solutions Technical Expertise - Experience building and maintaining production web applications - Comfortable working within modern application frameworks - Experience designing and implementing experimentation and A/B testing frameworks - Working knowledge of cloud infrastructure - Solid experience with relational databases, including writing and optimizing queries both within and outside of ORMs - Proficiency with Git-based development workflows, code reviews, CI/CD pipelines, and automated deployment practices Collaboration & Communication - Strong communication skills and the ability to collaborate effectively across technical and non-technical stakeholders in a globally distributed organization - Self-driven, highly autonomous, and comfortable operating in a remote-first environment while managing priorities and consistently delivering results Experience with PHP, Python, TypeScript, Laravel, Astro, AWS, Cloudflare, MySQL, Datadog, PostHog, LLM APIs, embeddings, RAG architectures, agent frameworks, infrastructure-as-code, containerization, or orchestration is helpful. Engineering Culture - We ship frequently — small, incremental changes deployed via GitOps - We embrace AI — use of AI-powered tools such as Cursor, Claude, and ChatGPT to accelerate development - We own our infrastructure — engineers are empowered to improve the systems they build - We optimize for outcomes — engineers are encouraged to identify opportunities, challenge assumptions, and solve business problems What we offer you - Career growth opportunities with mentorship and leadership programs - Flex Fridays with adjustable schedules - Remote-first work environment - Flexible PTO - Medical, dental, and vision coverage - Life, AD&D, short-term, and long-term disability insurance - 401K with company match - Paid parental leave - Wellness perks and fitness reimbursements - Pet insurance - Speaker series bonus opportunities - Book reimbursement program - Bucket list benefit after 3 years - In-office catered lunches Work authorization Employer work visa sponsorship and support are not provided for this role. Applicants must be currently authorized to work in the United States at hire and maintain authorization throughout employment. Salary Range Annual pay range: $160,000—$230,000 USD Pre-employment screening required. Any AI-generated or incomplete application answers will be auto-rejected.

🏢 Summary: Leadership role responsible for defining and delivering AI-driven product strategy and roadmap, including embedded and standalone AI capabilities. The position leads a team of product managers and collaborates cross-functionally to build scalable AI observability and security solutions. Focused on driving innovation, data-driven decision-making, and measurable business impact through AI products. 🗂️ Requirements: Proven experience in AI product management, Track record of delivering AI-driven products, Deep knowledge of AI and machine learning, Strong understanding of data science concepts, Experience leading and mentoring product managers, Experience managing complex product roadmaps, Experience collaborating with engineering and data science teams, Ability to drive data-driven product strategy, Experience managing large-scale AI initiatives 📃 Skills: AI, MachineLearning, DataScience, Analytics, Observability, Security, SaaS, ProductManagement, Roadmapping 🏢 Description: The Applied AI Products organization at Datadog is responsible for delivering AI-driven solutions that power the next generation of our product offerings. We are looking for a Director of Product Management to lead and shape the roadmap and delivery of AI-driven product capabilities at Datadog. In this role, you will bring a combination of technical expertise, product management experience, and an understanding of AI technologies to help position Datadog as a leader in the AI observability and security space. You will lead a team of product managers and collaborate with senior leadership in engineering and design. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Own the vision and strategy for AI-driven products, ensuring alignment with overall company goals and customer needs. This will include managing our embed program to enhance the capabilities of existing products as well as developing dedicated and independent AI products. Lead and mentor a team of product managers, helping them grow and advance their careers while ensuring the delivery of high-quality, AI-powered features. Collaborate with cross-functional teams including engineering, data science, marketing, and sales to deliver AI product solutions that meet customer needs and business objectives. Identify new opportunities for AI product innovation and drive them from concept to execution, ensuring they have a measurable impact on our customers and the business. Work closely with customers and stakeholders to deeply understand their pain points, ensuring that AI solutions are delivering tangible value and solving real-world problems. Define AI product roadmaps and manage the prioritization of features and initiatives to ensure the team’s efforts are aligned with business goals. Drive a culture of data-driven decision-making by working closely with data science and analytics teams to inform product strategy and validate assumptions. Promote a product-first mindset across the organization, ensuring that the user experience and business value are central to every product decision. Foster a culture of innovation and excellence in AI product development, ensuring that Datadog remains a leader in AI-powered observability and security solutions. Who You Are: You have proven experience in AI product management, with a track record of successfully leading the development and delivery of AI-driven products and solutions. You have deep technical knowledge of AI technologies and a strong understanding of machine learning, data science, and related fields, with the ability to translate these capabilities into compelling product experiences. You have successfully led product teams, including mentoring and developing product managers, while balancing the need for leadership and hands-on execution. You are skilled at prioritizing and delivering complex product roadmaps, balancing short-term needs with long-term strategic goals. You are experienced in collaborating with cross-functional teams, including engineering, design, data science, and business stakeholders, to deliver high-impact AI products. You have a customer-first mindset, always striving to understand and solve customer pain points through innovative AI-driven solutions. You are a strong communicator and influencer, capable of building relationships with senior leadership, engineering teams, and external stakeholders to drive alignment and move initiatives forward. You have a proven ability to manage large-scale AI product initiatives, balancing technical feasibility, user experience, and business impact. If you’re passionate about shaping the future of AI products and driving innovation at scale, we’d love to hear from you! Datadog values people from all walks of life. We know not everyone will meet all the above qualifications on day one. That’s okay. If you’re passionate about technology and want to grow your experience, we encourage you to apply. Benefits & Growth: New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Intra-departmental mentor and buddy program for in-house networking An inclusive company culture, ability to join our Community Guilds Access to Inclusion Talks, our Internal panel discussions Free, global Spring Health benefits for employees and dependents age 6+ Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.The reasonably estimated yearly salary for this role at Datadog is:$300,000—$385,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

🏢 Summary: Full-time Product Manager role focused on owning the strategy, roadmap, and delivery of AI-powered and LLM-based product features within enterprise platforms. The position involves driving end-to-end AI product lifecycle in Agile environments and defining production standards for AI systems. Hybrid work model from Warsaw with long-term engagement. 🗂️ Requirements: 4+ years of commercial experience as Product Manager or Project Manager, Experience building and launching AI-powered or LLM-based products in production, Strong understanding of modern AI concepts including embeddings, evals, tool calling, MCP, Knowledge of Agile/Scrum methodologies, Experience using Jira or similar project management tools, Experience working with engineering, design, and QA teams, Bachelor’s degree in Computer Science, Business, Economics, or related field 📃 Skills: AI, LLM, Embeddings, Evals, ToolCalling, MCP, Agile, Scrum, Jira, Analytics, Automation 🏢 Description: 💰 16,415 PLN - 20,000 PLN 🌎 Hybrid from Warsaw (3 days/week office) 🕦 Full-time position, long-term ☑️ Contract of Employment/B2B We are looking for a Product Manager to join our client, a technology company building AI-powered platforms and intelligent automation solutions for enterprise environments. The company focuses on leveraging modern AI and LLM technologies to improve workflows, analytics, and user experiences across complex products and platforms. In this role, you will own the strategy, roadmap, and delivery of AI-powered product experiences, working closely with engineering, design, QA, and business stakeholders. You will drive product decisions around AI functionality, define production standards for AI systems, and manage the end-to-end lifecycle of features from concept through launch. The position requires a strong understanding of AI product development, user experience, and cross-functional collaboration in fast-paced Agile environments. Requirements 4+ years of commercial experience as a Product Manager/Project Manager Proven experience building and launching AI-powered or LLM-based products in production environments, ideally within data, analytics, automation, developer tools, or platform products. Strong understanding of modern AI concepts and workflows, including embeddings, evaluations (evals), tool calling, MCP, and the practical limitations of AI systems. Solid knowledge of Agile/Scrum practices and experience working with tools such as Jira or similar project management platforms. Experience collaborating cross-functionally with engineering, design, and QA teams in fast-paced product environments. Excellent communication and stakeholder management skills, with the ability to explain complex technical concepts to both technical and non-technical audiences. Bachelor’s degree in Computer Science, Business, Economics, or a related field. Key Responsibilities Own the product vision and roadmap for AI-powered features and experiences across the platform, managing the full product lifecycle from ideation to launch. Partner closely with engineering, design, QA, data, and go-to-market teams to drive successful product delivery and adoption. Define production standards for AI features, including quality benchmarks, evaluation frameworks, latency expectations, permissions, and fallback/failure handling. Make strategic product decisions about where AI adds the most value compared to traditional UX approaches, ensuring a seamless user experience. Drive day-to-day product execution, sprint planning, prioritization, and process improvements using Agile/Scrum methodologies. Conduct customer and market research to identify user needs, industry trends, and opportunities for innovation. Analyze product usage, customer feedback, and performance data to inform roadmap decisions and feature prioritization. Take full ownership of roadmap execution, ensuring alignment between business goals, customer needs, and technical feasibility.

🏢 Summary: Remote customer-facing role focused on driving value and outcomes for healthcare organizations using AI imaging solutions. Acts as a trusted advisor to physicians and medical centers, bridging customers with product, data, and engineering teams to enhance adoption and impact. Involves data analysis, stakeholder management, and cross-functional collaboration to demonstrate measurable clinical and operational value. 🗂️ Requirements: BSc in science, engineering, or quantitative field, 4+ years in Customer Success, customer-facing analytics, Project Management, or similar roles, Experience working in SaaS high-tech or startup environment, Stakeholder management and executive-level relationship building, Strong analytical and data-driven decision-making skills, Ability to understand technical concepts and collaborate with technical teams, Excellent verbal and written communication skills in English, Ability to work in PST time zones, Ability to travel up to 25% 📃 Skills: SaaS, Analytics, AI, MedicalImaging, Radiology, ProjectManagement, StakeholderManagement, DataAnalysis, Research, English 🏢 Description: About this role This position focuses on championing customer-centric solutions and outcomes. You will work closely with engineering, operations, sales, and support teams to understand customers, enhance the value they get from the solutions, and demonstrate organizational impact. You will develop a strong understanding of customers' business objectives and articulate how AI enterprise solutions support their strategic goals. This is a remote role to be filled in the Western US. Responsibilities Serve as the customer's advocate and trusted advisor: - Proactively manage and grow customer relationships, identifying key stakeholders. - Lead discussions with top physicians in leading medical centers. - Understand customer pain points and workflows and enhance the value of AI in their departments. - Define next steps and collaborate with R&D teams to drive execution. Serve as the liaison between customers and internal teams: - Ensure smooth onboarding of new customers with the technical team. - Drive product enhancements and collaborate cross-functionally with Product, Data, and AI teams, representing the customer perspective. - Maintain a deep understanding of the solutions, expected performance, and user interface. Drive value demonstration: - Perform data analysis and present insights to customers. - Initiate and support research initiatives. Requirements - BSc in science, engineering, or any quantitative field (MSc preferred). - 4+ years of experience in Customer Success, customer-facing analytics, Project Management, or similar roles. - Experience in a SaaS high-tech or startup environment is an advantage. - Experience with data analytics is an advantage. - Experience working with medical imaging and radiologists is an advantage. - Research experience is an advantage. - Experience in stakeholder management and executive-level relationship building. - Ability to multitask, problem-solve, and work cross-functionally in a dynamic environment. - Strong analytical thinking and data-driven decision-making. - Ability to understand technical concepts and collaborate with technical teams. - Excellent verbal and written communication skills in English. - Ability to work in PST time zones. - Ability to travel up to 25%. What We Offer - Medical, dental, and vision benefits. - Stock options for full-time employees. - Flexible time off without accrual limits, coordinated with manager and team. - 401(k) plan with company match, life insurance, and long- and short-term disability coverage. - Opportunity to directly improve medical care and patient outcomes.