New offer - be the first one to apply!
July 15, 2026
VP of Engineering
Senior • Remote
200,004 - 249,996 USD/yr
About printIQ & DocketManager
printIQ is a cloud-based Print MIS platform that serves as the operational backbone for printing businesses: estimating, order entry, inventory, purchasing, invoicing, and manufacturing data collection in a single system. The platform is a market leader in the enterprise print segment across Australia and New Zealand and is growing rapidly in North America and the United Kingdom. Alongside Docket Manager, this is an opportunity for a technical leader to define the next chapter of both platforms.
The Opportunity
You will own the full technical strategy for a platform built on SQL Server, .NET, and a jQuery front end, serving printing operations across ANZ, North America, and Europe. The engineering organization spans approximately 20 developers across printIQ and Docket Manager.
You will join printIQ directly as a core member of the leadership team, reporting to the CEO, with responsibility for technology strategy, engineering organization, product delivery, and platform architecture.
What You Will Own
Technology and Architecture
- Define and execute the technical vision for the printIQ and Docket Manager platforms.
- Drive platform modernization across infrastructure, APIs, performance, and security.
- Design data architecture supporting analytics, BI, and AI.
- Lead adoption of AI-assisted development practices and intelligent workflows.
- Manage technical debt while maintaining forward momentum.
Leadership and Engineering Culture
- Build and lead a high-performing engineering organization.
- Evolve engineering practices, standards, and delivery processes.
- Champion AI-native ways of working.
- Lead distributed teams across New Zealand, North America, and the UK.
Cross-Functional Partnership
- Serve as the CEO's primary technology co-strategist.
- Translate growth plans into technical strategy and AI roadmaps.
- Identify opportunities for AI and platform capabilities to create competitive advantage.
- Represent the technology vision in executive, customer, and board conversations.
- Balance short-term delivery goals with long-term platform health.
What We Are Looking For
The ideal candidate is a proven SaaS engineering leader with deep technical expertise, strong engineering leadership, and an AI-first approach to software delivery and transformation.
Must-Haves
- Experience leading major platform transitions such as modernization, cloud migration, or acquisition integration.
- Experience delivering AI-enabled product capabilities with measurable outcomes.
- Experience owning SaaS security posture and compliance requirements including SOC 2.
- Experience designing unified data architecture for analytics, BI, and AI.
- Experience building and scaling engineering teams.
- Experience acting as primary technology partner to executive leadership.
- Experience making architecture and infrastructure investment decisions tied to commercial outcomes.
- Experience identifying product or commercial opportunities through technical strategy.
Compensation
The expected base salary for this position is approximately USD $200,000 - $250,000 excluding annual bonus and equity, depending on market conditions, location, skills, and experience.
Equal Employment Opportunity
Banyan is committed to equal employment opportunities and supports an inclusive workplace based on merit, qualifications, experience, ability, and performance.
Recruitment Notice
Banyan Software may use AI tools to assist in screening and assessing applicants during the recruitment process. Personal information submitted through applications will be used in accordance with applicable privacy laws.
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9,800 - 12,250 USD/yr
🏢 Summary: Full-stack Engineer role focused on building and maintaining business-critical demo environments and applications used globally to showcase and support the platform. The position involves working across a diverse, multi-cloud stack to design, deploy, and operate scalable infrastructure and software. You will collaborate cross-functionally to deliver reliable, high-quality demo solutions and ensure operational excellence. 🗂️ Requirements: 3+ years full-stack software engineering experience, Experience with at least one programming language, Experience with a web application framework, Experience with a database technology, 2+ years with containerization and deployment tools, 2+ years in cloud-native or multi-cloud environments, Experience with Git-based source control, Experience writing automated tests, Experience with CI automation, Ability to use AI coding tools in daily workflows and validate outputs 📃 Skills: Kubernetes, Docker, Helm, GitLab, CI/CD, AWS, GCP, Azure, Git, Databases, APM, AI 🏢 Description: Demo Engineering is a full-stack software engineering and operations team. Our work helps to articulate the Datadog vision and product value to our largest prospects, customers, and conference attendees hundreds of times every week. We build and own internal systems and tools that enable various teams to create transformative product demos, quickly and easily. We make the experience of creating Datadog demos simpler, more pleasant, and more productive. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. As a Full-stack Engineer on the Demo Engineering team, you will be responsible for building and maintaining business critical demo environments and applications that Pre and Post Sales Engineering, Product Management, Marketing, Events, and Support use on a daily basis around the globe. This is a rare opportunity to work across a uniquely diverse technology stack, including all three major cloud providers and all languages supported by our APM product. What You’ll Do: Design, develop, deploy, monitor, maintain, and own business critical infrastructure and software to power the Datadog demo environment, empowering hundreds of individuals to deliver demos daily Work cross-functionally with subject matter experts in engineering teams such as data science, security, tracing, etc. to ensure that upcoming Datadog features are demo-ready and collaborate closely with product management and sales engineers to build demo solutions for all aspects of the Datadog platform Consistently ships high quality code and architecture Become a Datadog expert, understanding the platform in detail, to best deliver demo related solutions, support other Datadog employees using those solutions, and using Datadog to monitor the health of those solutions Help keep our demo solutions reliable, available, and fast by responding to on-call alerts, investigating issues, performing necessary operations, and delivering fixes Support our internal customers by helping answer questions about the demo environment, troubleshooting, tracking feature requests and bugs, escalating issues, and reporting or calling incidents when necessary Who You Are: 3+ years of experience in full-stack software engineering with experience in at least one programming language, web application framework, and database technology. 2+ years of experience with containerization and deployment tools such as Kubernetes/Docker, Helm, and Gitlab CI/CD 2+ years of experience in a cloud-native or multi-cloud environment (we use AWS, GCP and Azure) A practitioner of repeatable development processes to deliver high quality software, using Git for source control, writing tests to catch regressions, and using CI for automation. A communicative problem solver, proactively getting feedback on designs before committing to a solution. You want to work in a fast, high growth environment and you value a pragmatic approach, code simplicity and efficiency Requirement - Demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output. Bonus/Plus - You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products. Datadog values people from all walks of life. We understand that not everyone will meet these requirements on day one. If you’re passionate about technology and want to grow these skills but don’t meet all of these qualifications, we encourage you to apply. Benefits and Growth: New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Intradepartmental mentor and buddy program for in-house networking An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) Access to Inclusion Talks, our Internal panel discussions Free, global mental 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. #LI-HybridDatadog 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:$117,600—$147,000 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.
Technology

Built Technologies
Staff Software Engineer, Data Platform
Senior
On-site
Atlanta, GA
170,004 - 240,000 USD/yr
🏢 Summary: Staff Software Engineer role on the Data Platform team focused on building and leading the next generation of customer-facing data product experiences. The position involves full-stack development across frontend, backend, APIs, and data-driven workflows to transform data capabilities into intuitive product solutions. You will shape product direction, productionize data concepts, and drive high engineering standards in a data-heavy environment. 🗂️ Requirements: Staff-level software engineering experience, Proven experience leading ambiguous, customer-facing product initiatives to production, Strong full-stack web application development experience, Strong proficiency in TypeScript, Strong proficiency in Node.js, Strong proficiency in React, Experience with Python, Experience designing APIs and backend services, Experience with modern web application architecture, Ability to write high-quality, maintainable, and well-tested code, Strong technical communication skills, Collaborative leadership and mentoring ability 📃 Skills: TypeScript, React, Node.js, Python, APIs, Snowflake, dbt, Kafka, Flink, Materialize, AI 🏢 Description: Built's Mission: Connect and simplify doing business in real estate.Built is the AI-powered platform transforming the way real estate is financed, developed, and managed. Purpose-built for real estate and construction, Built began by fixing construction draw management for lenders and has grown into a comprehensive operating system addressing some of the industry's most complex challenges. Today, Built is a partner to more than 350 lenders, over 80,000 borrowers and owners, and thousands of contractors, powering 86,000 active projects valued at more than $300 billion. Learn more at getbuilt.com.__________________________Built is looking for a Staff Software Engineer to join our Data Platform team and lead the next generation of customer-facing data product experiences. In this role, you will build the application layer where Built's data products are discovered, accessed, and used by customers. You will work across frontend, backend, APIs, services, and data-backed application workflows to turn platform capabilities into intuitive product experiences. The Data Platform team already has deep data engineering expertise. We are looking for a product-minded software engineer with strong full-stack application development experience to add depth to the team's software engineering capabilities. This includes thoughtful frontend experiences, well-designed backend services, durable APIs, practical architecture, strong testing practices, and a sharp instinct for what customers actually need. You will help overhaul Built's application-facing data products platform. This includes customer-facing experiences such as data product hubs, market insights, benchmarking workflows, portfolio intelligence, and data-specific agents. The right person is a builder with taste. You care when a workflow technically works but still feels confusing. You notice when a requirement does not map to customer value. You can push back, offer better alternatives, and still partner well when tradeoffs are needed. WHAT YOU'LL DO Lead the design and delivery of Built's application-facing data products platform, including product surfaces, backend services, APIs, frontend flows, and reusable patterns. Build full-stack customer experiences using TypeScript, React, Node.js, Python, and related technologies. Partner with Product to shape ambiguous ideas into useful customer workflows, challenge low-value requirements, and offer practical alternatives. Turn data science prototypes, analytics concepts, and platform capabilities into production-grade product experiences. Bring strong software engineering practices into a data-heavy team through technical design, code review, mentoring, testing, and delivery patterns. Help data engineers take on more software engineering work across frontend, backend, APIs, product decomposition, and production readiness. Collaborate across Built where data products integrate with application surfaces, platform capabilities, agents, or customer workflows. Use customer signals, usage data, product feedback, support issues, and discovery learnings to guide engineering decisions. SKILLS AND EXPERIENCE REQUIRED Staff-level software engineering experience with a track record of leading ambiguous, customer-facing product initiatives from idea through production. Strong product judgment, customer intuition, and ability to identify when a workflow or requirement does not create customer value. Full-stack web application experience, with backend-leaning product engineering depth. Strong experience with TypeScript, Node.js, React, and modern web application architecture. Experience with Python or demonstrated ability to work effectively in Python-based systems. Experience designing APIs, service boundaries, reusable application patterns, and production backend systems. Ability to write high-quality, maintainable code with strong instincts for testing, readability, observability, and operational ownership. Strong technical communication skills, including design docs, architecture discussions, and tradeoff analysis. Collaborative leadership style with the ability to challenge product direction constructively and mentor engineers without condescension. Bias toward customer value over technology for technology's sake. PREFERRED Experience building data-heavy product experiences, analytics products, reporting workflows, benchmarking tools, dashboards, or decision-support products. Experience working with data engineers, analytics engineers, data scientists, or teams that productionize data science prototypes. Experience with AI or agentic product experiences. Familiarity with Snowflake, dbt, Kafka, Flink, Materialize, or similar data platform technologies. Experience in fintech, lending, banking, construction, real estate, compliance-heavy SaaS, or other domains where trust and correctness matter. Experience with product instrumentation, activation metrics, customer adoption, experimentation, or usage-based product iteration. Experience mentoring engineers from adjacent disciplines into stronger software engineering practices. Built's salary range for this position is $170,000 - $245,000 USD per year. The pay range is designed to accommodate upward mobility in the role, therefore it encompasses the full span of proficiency levels for this role and we believe that the midpoint of the range is competitive in the market. Salary is just one component of Built's total compensation package for employees. Your total rewards package at Built will include equity, top-notch medical, dental and vision coverage, an unlimited PTO policy, and other benefits.__________________________Travel Requirement: If the role isn't required to be hybrid or on-site, non-local candidates (not based in Nashville metro) must be able to travel at minimum twice per year to Nashville, TN or another designated location for company-wide events (e.g., "Connect Week"). Additional travel may be required based on business needs and role responsibilities.Perks: The rare opportunity to radically disrupt a $1.5T industry Competitive benefits including: uncapped vacation [US ONLY], health, dental & vision insurance Robust compensation package, including equity in the form of stock options Learning Grant program to support ongoing professional development 401k with match and expedited vesting [US ONLY] Built brings together passionate people who are driven in a variety of disciplines, each bringing their unique perspective to everything they do. We're committed to building a safe, inclusive workplace where every employee can succeed, and we recruit, hire, and promote fairly - without bias based on race, color, religion, sex, sexual orientation, gender identity, marital status, veteran status, or any other characteristic protected by law.Greenhouse Data Disclosure: When you apply to a job on this site, the personal data contained in your application will be collected by Built Technologies ("Controller"). Your personal data will be processed for the purposes of managing Controller's recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes. Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Controller to help manage its recruitment and hiring process on Controller's behalf. Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for current or future employment. You have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have to right to data portability. If you would like to contact Controller to ask questions surrounding processing of your personal data or to make a request, you can send an email to privacy@getbuilt.com. California residents: Please note that Controller does not sell your personal data or share it with third parties outside of Greenhouse Software, Inc.
Technology

Built Technologies
Staff Software Engineer, Data Platform
Senior
On-site
Austin, TX
170,004 - 240,000 USD/yr
🏢 Summary: Staff Software Engineer on the Data Platform team leading the design and delivery of customer-facing data product experiences across full-stack applications. The role focuses on building application layers, APIs, and workflows that turn data platform capabilities into intuitive, production-grade products. Requires strong product judgment and full-stack expertise to shape ambiguous ideas into high-value customer solutions. 🗂️ Requirements: Staff-level software engineering experience, Experience leading ambiguous, customer-facing product initiatives to production, Strong full-stack web application development experience, Strong TypeScript, Node.js, and React experience, Experience working in Python-based systems, Experience designing APIs and backend services, Ability to write high-quality, testable, maintainable code, Strong technical communication and architecture skills 📃 Skills: TypeScript, React, Node.js, Python, APIs, Snowflake, dbt, Kafka, Flink, Materialize, AI 🏢 Description: Built's Mission: Connect and simplify doing business in real estate.Built is the AI-powered platform transforming the way real estate is financed, developed, and managed. Purpose-built for real estate and construction, Built began by fixing construction draw management for lenders and has grown into a comprehensive operating system addressing some of the industry's most complex challenges. Today, Built is a partner to more than 350 lenders, over 80,000 borrowers and owners, and thousands of contractors, powering 86,000 active projects valued at more than $300 billion. Learn more at getbuilt.com.__________________________Built is looking for a Staff Software Engineer to join our Data Platform team and lead the next generation of customer-facing data product experiences. In this role, you will build the application layer where Built's data products are discovered, accessed, and used by customers. You will work across frontend, backend, APIs, services, and data-backed application workflows to turn platform capabilities into intuitive product experiences. The Data Platform team already has deep data engineering expertise. We are looking for a product-minded software engineer with strong full-stack application development experience to add depth to the team's software engineering capabilities. This includes thoughtful frontend experiences, well-designed backend services, durable APIs, practical architecture, strong testing practices, and a sharp instinct for what customers actually need. You will help overhaul Built's application-facing data products platform. This includes customer-facing experiences such as data product hubs, market insights, benchmarking workflows, portfolio intelligence, and data-specific agents. The right person is a builder with taste. You care when a workflow technically works but still feels confusing. You notice when a requirement does not map to customer value. You can push back, offer better alternatives, and still partner well when tradeoffs are needed. WHAT YOU'LL DO Lead the design and delivery of Built's application-facing data products platform, including product surfaces, backend services, APIs, frontend flows, and reusable patterns. Build full-stack customer experiences using TypeScript, React, Node.js, Python, and related technologies. Partner with Product to shape ambiguous ideas into useful customer workflows, challenge low-value requirements, and offer practical alternatives. Turn data science prototypes, analytics concepts, and platform capabilities into production-grade product experiences. Bring strong software engineering practices into a data-heavy team through technical design, code review, mentoring, testing, and delivery patterns. Help data engineers take on more software engineering work across frontend, backend, APIs, product decomposition, and production readiness. Collaborate across Built where data products integrate with application surfaces, platform capabilities, agents, or customer workflows. Use customer signals, usage data, product feedback, support issues, and discovery learnings to guide engineering decisions. SKILLS AND EXPERIENCE REQUIRED Staff-level software engineering experience with a track record of leading ambiguous, customer-facing product initiatives from idea through production. Strong product judgment, customer intuition, and ability to identify when a workflow or requirement does not create customer value. Full-stack web application experience, with backend-leaning product engineering depth. Strong experience with TypeScript, Node.js, React, and modern web application architecture. Experience with Python or demonstrated ability to work effectively in Python-based systems. Experience designing APIs, service boundaries, reusable application patterns, and production backend systems. Ability to write high-quality, maintainable code with strong instincts for testing, readability, observability, and operational ownership. Strong technical communication skills, including design docs, architecture discussions, and tradeoff analysis. Collaborative leadership style with the ability to challenge product direction constructively and mentor engineers without condescension. Bias toward customer value over technology for technology's sake. PREFERRED Experience building data-heavy product experiences, analytics products, reporting workflows, benchmarking tools, dashboards, or decision-support products. Experience working with data engineers, analytics engineers, data scientists, or teams that productionize data science prototypes. Experience with AI or agentic product experiences. Familiarity with Snowflake, dbt, Kafka, Flink, Materialize, or similar data platform technologies. Experience in fintech, lending, banking, construction, real estate, compliance-heavy SaaS, or other domains where trust and correctness matter. Experience with product instrumentation, activation metrics, customer adoption, experimentation, or usage-based product iteration. Experience mentoring engineers from adjacent disciplines into stronger software engineering practices. Built's salary range for this position is $170,000 - $245,000 USD per year. The pay range is designed to accommodate upward mobility in the role, therefore it encompasses the full span of proficiency levels for this role and we believe that the midpoint of the range is competitive in the market. Salary is just one component of Built's total compensation package for employees. Your total rewards package at Built will include equity, top-notch medical, dental and vision coverage, an unlimited PTO policy, and other benefits.__________________________Travel Requirement: If the role isn't required to be hybrid or on-site, non-local candidates (not based in Nashville metro) must be able to travel at minimum twice per year to Nashville, TN or another designated location for company-wide events (e.g., "Connect Week"). Additional travel may be required based on business needs and role responsibilities.Perks: The rare opportunity to radically disrupt a $1.5T industry Competitive benefits including: uncapped vacation [US ONLY], health, dental & vision insurance Robust compensation package, including equity in the form of stock options Learning Grant program to support ongoing professional development 401k with match and expedited vesting [US ONLY] Built brings together passionate people who are driven in a variety of disciplines, each bringing their unique perspective to everything they do. We're committed to building a safe, inclusive workplace where every employee can succeed, and we recruit, hire, and promote fairly - without bias based on race, color, religion, sex, sexual orientation, gender identity, marital status, veteran status, or any other characteristic protected by law.Greenhouse Data Disclosure: When you apply to a job on this site, the personal data contained in your application will be collected by Built Technologies ("Controller"). Your personal data will be processed for the purposes of managing Controller's recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes. Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Controller to help manage its recruitment and hiring process on Controller's behalf. Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for current or future employment. You have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have to right to data portability. If you would like to contact Controller to ask questions surrounding processing of your personal data or to make a request, you can send an email to privacy@getbuilt.com. California residents: Please note that Controller does not sell your personal data or share it with third parties outside of Greenhouse Software, Inc.
Technology

Datadog
Director of Product Management - Applied AI
Senior
On-site
New York, NY
300,000 - 385,000 USD/yr
🏢 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.
Technology

CommerceIQ
Director of Engineering - AI
Senior
On-site
Mountain View, CA
🏢 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.
Technology

IonQ
Staff M365 Platform Engineer & Owner
Senior
Remote
Bothell, WA
131,964 - 172,776 USD/yr
🏢 Summary: Staff M365 Platform Engineer & Owner responsible for leading and engineering a secure Microsoft 365 GCC High environment. The role combines tenant ownership, deep hands-on configuration, automation, governance implementation, and complex tenant-to-tenant migrations. Focused on ensuring compliance, security, and operational excellence across Exchange, SharePoint, Teams, and Entra ID. 🗂️ Requirements: 6-8+ years managing Microsoft 365 and Exchange Online in enterprise environments, Proven experience with M365 GCC High or sovereign cloud environments, Strong expertise in Entra ID (Azure AD) configuration and identity synchronization, Expert-level PowerShell scripting for M365 administration, Experience executing tenant-to-tenant migrations (M&A), Hands-on configuration of Exchange Online mail flow, transport rules, and DNS, Implementation of DLP, Conditional Access, and retention policies, Familiarity with NIST 800-171, CMMC, or DFARS 7012, Bachelor’s degree in Computer Science, Information Systems, or related field, U.S. citizenship and eligibility for U.S. government security clearance 📃 Skills: M365, Exchange, SharePoint, Teams, EntraID, AzureAD, PowerShell, GraphAPI, DNS, DLP, ConditionalAccess, NIST, CMMC, DFARS, ShareGate, BitTitan 🏢 Description: About IonQ: IonQ, Inc. [NYSE: IONQ] is the world's leading quantum platform and merchant supplier - delivering integrated quantum solutions across computing, networking, sensing, and security. IonQ's newest generation of quantum computers, the IonQ Tempo, is the latest in a line of cutting-edge systems that have been helping customers and partners including Amazon Web Services, and AstraZeneca achieve 20x performance results and accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense. In 2025, the company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing performance.Headquartered in College Park, Maryland, IonQ has operations in California, Colorado, Massachusetts, Tennessee, Washington, Italy, South Korea, Sweden, Switzerland, Canada, and the United Kingdom. Our quantum computing services are available through all major cloud providers, while we also meet the needs of networking and sensing customers across land, sea, air, and space. IonQ is making quantum platforms more accessible and impactful than ever before. IONQ is seeking a Staff M365 Platform Engineer & Owner to serve as the primary technical lead and operational steward for our Microsoft 365 GCC High ecosystem. This role is designed for a high-level individual contributor who can bridge the gap between strategic governance and deep technical execution. You will own the technical roadmap for our tenant while personally driving the complex configurations, migrations, and automations required to maintain a secure, compliant, and high-performing environment. Responsibilities: Platform Ownership & Engineering Tenant Stewardship: Act as the primary technical owner for the M365 GCC High tenant, ensuring all workloads (Exchange, SharePoint, Teams, Entra ID) are integrated and optimized. Hands-on Administration: Lead the technical configuration of mail flow, transport rules, and DNS for Exchange Online, ensuring GCC High compliance and reliability. Automation & Scripting: Build and maintain PowerShell scripts and Graph API integrations to automate lifecycle management, site provisioning, and security auditing. Governance Implementation: Translate high-level governance policies into technical controls, including DLP, Conditional Access, and retention labels. Migration & Integration (M&A) Technical Execution: Lead the hands-on migration of identities and data (mailboxes, drives, sites) during Mergers and Acquisitions, utilizing tools like ShareGate or BitTitan. Mail Flow Design: Design and validate complex mail routing and shared/resource mailbox mapping during tenant consolidations. Vendor Validation: Review and validate the technical deliverables of external partners to ensure they meet IONQ's engineering and compliance standards. Operational Excellence Tier 3 Support: Serve as the final escalation point for complex technical issues involving mail routing, identity synchronization, or platform performance. Service Lifecycle: Manage the rollout of new M365 features, assessing their impact on the GCC High environment and security posture. Documentation: Create and maintain technical runbooks, architectural diagrams, and standard operating procedures (SOPs). You'd be a good fit with: Platform Depth: 6-8+ years of hands-on experience managing M365/Exchange Online in an enterprise environment. GCC High Expertise: Proven experience operating within sovereign cloud boundaries (GCC/GCCH) and understanding their specific technical limitations. Identity & Security: Strong proficiency in Entra ID (Azure AD), including identity synchronization, application registrations, and security/compliance center configurations. Scripting Mastery: Expert-level PowerShell skills for managing M365 workloads at scale. M&A Experience: Direct experience executing at least one major tenant-to-tenant migration. Education: Bachelor's degree in Computer Science, Information Systems, or a related technical field. Compliance: Familiarity with NIST 800-171, CMMC, or DFARS 7012 requirements. Clearance: Must be a U.S. Citizen and be eligible to obtain and maintain a U.S. government security clearance (Secret or higher) if required You'd be a great fit with: Microsoft 365 Certified: Administrator Expert Microsoft 365 Certified: Messaging Administrator Associate Microsoft Identity and Access Administrator (SC-300) CompTIA: Security+ or CySA+ or CASP+ Location: Preferably this role will be based at our office in Bothell, Washington, or can be based at our office in College Park, MD, and can work remotely up to 3 days per week.Travel: Occasional travel for team or company meetingsJob ID: 1439 The approximate base salary range for this position is $131,962 - $172,773. The total compensation package includes base, bonus, and equity.Compensation will vary based on individual factors such as education, qualifications, and experience of the final candidate(s), specific office location, and calibration against relevant market data and internal team equity. Posted base salary figures are subject to change as new market data becomes available. Our benefits include comprehensive medical, dental, and vision plans, matching 401K, unlimited PTO and paid holidays, parental/adoption leave, legal insurance, and a home technology stipend. Details of participation in these benefit plans will be provided when a candidate receives an offer of employment. At IonQ, we believe in fair treatment, access, opportunity, and advancement for all while striving to identify and eliminate barriers. We empower employees to thrive by fostering a culture of autonomy, productivity, and respect. We are dedicated to creating an environment where individuals can feel welcomed, respected, supported, and valued. We are committed to equity and justice. We welcome different voices and viewpoints and do not discriminate on the basis of race, religion, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other basis protected by law. We are proud to be an Equal Employment Opportunity employer. US Technical Jobs. The position you are applying for will require access to technology that is subject to U.S. export control and government contract restrictions. Employment with IonQ is contingent on either verifying "U.S. Person" (e.g., U.S. citizen, U.S. national, U.S. permanent resident, or lawfully admitted into the U.S. as a refugee or granted asylum) status for export controls and government contracts work, obtaining any necessary license, and/or confirming the availability of a license exception under U.S. export controls. Please note that in the absence of confirming you are a U.S. Person for export control and government contracts work purposes, IonQ may choose not to apply for a license or decline to use a license exception (if available) for you to access export-controlled technology that may require authorization, and similarly, you may not qualify for government contracts work that requires U.S. Persons, and IonQ may decline to proceed with your application on those bases alone. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. US Non-Technical Jobs. Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. If you are interested in being a part of our team and mission, we encourage you to apply!
