Partnership Manager - ERP and Resellers (Netsuite)

🏢 Summary: Remote Customer Success Manager role focused on advising finance professionals, optimizing financial models, and supporting budgeting, forecasting, and reporting workflows using the Datarails FP&A platform. The position involves customer relationship management, financial analysis, data validation, and platform training for finance leaders. Offers competitive compensation, equity, healthcare benefits, and flexible remote work within the United States. 🗂️ Requirements: 2+ years in customer success, consulting, or customer-facing role, Finance or accounting background, Advanced Excel expertise, Experience with formulas, Vlookup, Pivot Tables, Power Query, and complex models, Strong communication and relationship-building skills, Ability to work with CFOs, VPs, and finance directors, Comfort with upselling and renewal conversations, Bachelor's degree or equivalent experience 📃 Skills: Excel, Vlookup, PivotTable, PowerQuery, Forecasting, Budgeting, Reporting, Modeling, CRM, ERP, Accounting 🏢 Description: Description Come meet Datarails! We're an FP&A platform designed to streamline and automate data consolidation, reporting, and planning while allowing finance teams to continue using their own Excel spreadsheets and financial models. Datarails integrates with popular accounting software, ERPs, and CRMs to build a single source of truth, reduce risk, make informed decisions, and ensure stakeholders have reliable data at their fingertips. As a Customer Success Manager, you will advise finance professionals from middle management through the C-suite, customize their Datarails platform, and train them on product updates. This position is 100% remote-based anywhere in the United States. No sponsorship or relocation assistance is available. What You'll Do - Understand current client situations, helping simplify models and existing data. - Create detailed business analyses outlining problems, opportunities, and solutions for customers by advising on budgeting, forecasting, planning and monitoring, financial modeling, standard reporting, and more. - Manage, interpret, and validate all data produced by customers, maintaining focus on improving customer care quality. - Provide recommendations for process changes to help optimize procedures and maximize outcomes. - Build long-term strategic relationships with customers, gather requirements, and provide financial reporting support. Requirements - 2+ years of experience in customer success, consulting, or similar customer-facing role, with a finance or accounting background. - Deep knowledge and solid experience in advanced Excel functions including formulas, Vlookup, Pivot Table, Power Query, and complex models. - Strong communication and relationship-building skills. - Ability to engage professionally with CFOs, VPs, Directors of Finance, and customers from leading US companies. - Comfortable with upselling and renewal conversations. - Bachelor's degree or equivalent experience. What We Offer - Collaborative, team-oriented environment. - Flexible schedule working within your local time zone. - Opportunity for long-term growth. - Base salary range of $90,000–$115,000 USD annually depending on experience, skills, and location. - Parental leave. - Meaningful equity. - 401(k) plan with up to 4% match. - Medical, vision, and dental healthcare coverage. - Flexible PTO and 12 paid company holidays. - Life insurance. - Additional employee benefits. Equal Opportunity Statement Datarails is an equal opportunity employer committed to building a diverse and inclusive workplace. Equal employment opportunities are provided without discrimination based on legally protected characteristics.

🏢 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: Forward Deployment Engineer role focused on embedding with clients to scope, build, and ship production-ready AI systems. The position combines hands-on development, pre-sales, and consulting, delivering AI-enabled workflows and integrating them into existing stacks. Half of the role involves building reusable AI agents and tools for the internal AI platform based on client engagements. 🗂️ Requirements: 5+ years total experience in software engineering, 3+ years hands-on experience building and shipping AI-assisted systems, 2+ years in client-facing consulting or pre-sales engineering, Full-cycle ownership from discovery to production and handoff, Production-grade experience with Python and/or TypeScript, Experience designing AI systems (agents, RAG, copilots, MCP), Experience with REST APIs and SaaS integrations, Experience with cloud deployment and security reviews, Ability to define and implement evaluation metrics for AI systems, Fluent communication in Polish and English (B2+) 📃 Skills: Python, TypeScript, LLM, Claude, GPT, RAG, MCP, REST, API, iPaaS, SaaS, Cloud, CRM, BI 🏢 Description: Description Our mission at Netguru is to help entrepreneurs and innovators shape the world through beautiful software. We care about trust, taking ownership, and transparency. As a Certified B Corporation®, we offer a safe, inclusive, and productive environment for all team members, and we’re always open to feedback. If you want to work from home and be a full-time employee, great! We want to create the right opportunities for you. Over the past ten years, Netguru has changed the way people bank, listen to music, learn languages, and rent bicycles. Some of their clients include Fortune 500 companies and startups like or . Netguru works with the largest brands in the world, such as , or . As the Forward Deployment Engineer you will sit at the intersection of client delivery, pre-sales, and internal AI tooling. You embed with a client (or an internal Netguru team), translate ambiguous problems into a defensible technical scope, and ship working AI systems to production - fast. Half of your time goes back into Netguru: every reusable pattern you spot in the field becomes a skill, agent, or MCP inside NetguruOS. This is a builder role, not an advisory one. Proof of work is a running system - not a deck. Salary: from 22000PLN net on B2B contract + 20 paid days off or from 18000PLN gross on Contract of Employment What you'll do: Client engagements Embed temporarily into the team that owns the problem - client engineering org or internal Netguru team Run discovery with stakeholders from CTO down to end-user Translate ambiguous pain into a written technical scope you can defend Lead pre-sales on AI opportunities - scope, price, propose, close Build Prototype in days, not weeks - working software, not slides Write production-grade Python or TypeScript (or whatever the client runs) Ship AI-enabled workflows: copilots, agents, RAG systems, automation, internal tooling Integrate with the client's existing stack Stand up evals, observability, and guardrails before going live Own the path to production: security review, procurement, change management Build internally (≈50% of the role) Extend Netguru's internal AI platform with new agents, MCPs, and skills based on field learnings Build enablement tooling for internal AI delivery teams — templates, runbooks, reusable skills Codify reusable client patterns back into NetguruOS Requirements Experience 5+ years total, including 3+ years hands-on building and shipping AI-assisted systems 2+ years in a client-facing consulting or pre-sales engineering role Proven full-cycle ownership: discovery → scoping → build → production → handoff Comfortable with both technical and business stakeholders in the same engagement Communicative (B2+) Polish and English. Technical Production-grade Python and/or TypeScript - shipped systems, not scripts LLM stack fluency (Claude, GPT, open-weight) - knows when to use which and why AI system design: agents, RAG pipelines, copilots, MCP servers, sub-agents Eval-driven development - defines success metrics before shipping, measures after Integration experience: REST APIs, iPaaS, common SaaS (CRM, PM, BI) Cloud deployment, security reviews, change management Consulting & communication Translates ambiguous client pain into written technical scope - and defends it Credible with a CEO and an engineer on the same day Proposal writing and deal scoping for AI engagements Senior stakeholder management without hand-holding Mindset Builder by default - running system over recommendation deck Stack-agnostic - picks the right tool, not the favorite one Walks into chaos, imposes structure, delivers clarity Ships in days, not weeks Nice to have: Domain experience in Finance, Retail, or Supply Chain Public presence - conference talks, open-source, published writing on AI SDLC orchestration and multi-agent pipelines What success looks like (first 6–12 months) First AI engagement scoped, built, and delivered to production At least one reusable asset (agent skill, MCP, eval suite) shipped into NetguruOS Measurable time savings from internal tooling contributions Benefits Access to the WorkSmile platform offering benefits adapted to your preferences: Multisport card. Private health insurance package. Life insurance. Hundreds of other options to choose from 15 categories (shopping, leisure, travel, food, etc.). Discounts on Apple products. Support for your growth - a head/manager’s budget available to every employee. PLN 175 monthly lump sum (ryczałt) for remote employees (Contract of Employment) Various internal initiatives: webinars, knowledge-sharing sessions, . Don't hesitate and apply right away! At Netguru, we're committed to creating an inclusive environment for everyone. If you require any disability-related accommodations during the recruitment process, please let us know. We're here to help!

🏢 Summary: Remote-first Associate Director role focused on owning and expanding strategic enterprise partnerships within retail, eCommerce, and payments. The position drives GMV growth through data-driven account planning, BNPL integration, AI-powered insights, and executive-level stakeholder management. It combines commercial strategy, analytics, and cross-functional leadership to deliver measurable revenue and innovation outcomes. 🗂️ Requirements: 12+ years strategic account management experience, 7+ years in eCommerce, Enterprise-scale partnership management experience, Experience in fintech, payments, or eCommerce, Proven revenue growth and share-of-wallet expansion, Executive stakeholder management experience, Deep knowledge of BNPL and digital payments ecosystems, Experience with omnichannel commerce strategies, Data-driven account planning experience, Experience collaborating with Product, Data, Marketing, and Operations teams, Proficiency with Salesforce CRM, Experience with AI tools and predictive analytics platforms 📃 Skills: BNPL, eCommerce, Payments, Salesforce, CRM, AI, Analytics, PredictiveAnalytics, RetailTech, CheckoutOptimization, ConsumerFinancing, Forecasting, PipelineManagement 🏢 Description: Remote-first opportunity for U.S.-based employees, with the option to work in-person at our Manhattan office. About the Role As an Associate Director US, Enterprise Partnerships, you will own and expand some of Zip's most strategic Enterprise merchant relationships across the retail, eCommerce, and payments ecosystem. This role goes far beyond day-to-day management; you'll act as a strategic advisor, leveraging Zip's global BNPL platform, data insights, and marketing capabilities to drive measurable growth and innovation for enterprise merchants. You'll lead cross-functional initiatives spanning marketing, product, data, and operations to deliver solutions that improve conversion, unlock incremental revenue, and deepen customer engagement. This role requires a balance of commercial acumen, analytical insight, and relationship mastery, someone who can operate as both a trusted partner to C-suite stakeholders and an internal champion for merchant success. You'll Change the Game By: - Owning and expanding a portfolio of high-value enterprise partnerships, driving growth across GMV, profitability, transaction volume, and new user acquisition. - Developing strategic account plans for top merchants, grounded in data and market intelligence, with clear performance targets and co-marketing activations. - Partnering with client executives to shape omnichannel payment strategies, integrating Zip's BNPL capabilities across online, in-store, and mobile channels. - Leading joint business reviews (QBRs) and presenting actionable insights — highlighting performance metrics, benchmarking trends, and strategic recommendations that influence executive decision-making. - Driving cross-sell and up-sell motions across the merchant's organization by aligning Zip's expanding suite of solutions (BNPL, Pin8, marketing placements, and consumer insights) with evolving merchant needs. - Acting as the voice of the customer internally partnering with product, analytics, and marketing to identify feature opportunities, resolve friction points, and inform future innovation. - Collaborating with global teams to scale best practices across markets, ensuring consistency in execution and delivery excellence. - Managing long-term commercial renewals and contract negotiations to secure favorable, mutually beneficial terms. - Leveraging AI-powered insights and predictive analytics to identify growth opportunities, forecast merchant performance, and personalize partnership strategies that drive measurable GMV and adoption outcomes. What You'll Bring to the Team: - 12+ years of strategic account management experience, managing enterprise-scale partnerships, ideally within fintech, payments, or eCommerce. Of the 12 years, 7 focused in eCommerce. - Proven ability to deliver revenue growth, increase share of wallet, and influence executive stakeholders in a matrixed, global environment. - Deep understanding of BNPL, digital payments, and retail tech ecosystems, with fluency in merchant operations, checkout optimization, and consumer financing. - Demonstrated success in building and executing commercial strategies across omnichannel partners, including cross-sell and upsell plays. - Exceptional analytical, presentation, and storytelling skills, capable of distilling data into narratives that drive strategic decisions. - Experience building and executing data-driven account plans and marketing activations. - Experience collaborating with Product, Data, Marketing, and Ops to inform roadmaps and remove friction, acting as the voice of the partner inside the business. - Comfortable navigating CRM tools (Salesforce), forecasting, pipeline discipline, and deal documentation at an executive level. - Hands-on experience with AI tools or platforms to inform decision-making, automate insights, or personalize client engagement strategies. - Experience working in a high-growth, matrixed environment; able to scale what works and evolve what doesn't. - A collaborative, entrepreneurial mindset aligned with core values. - A strong understanding of AI tools and technologies, with the ability to effectively leverage AI in day-to-day workflows to drive efficiency, insights, and partner outcomes. What you'll get in return - Flexible working culture - Incentive programs - Unlimited Vacation - Generous paid parental leave - Leading family support policies - Company-sponsored 401k match - Learning and wellness subscription stipend - Beautiful Union Square office with a casual dress code - Industry-leading, employer-sponsored insurance for you and your dependents, with several 100% covered choices available Compensation The annual base pay for this position is $131,000-$164,000 USD. In addition, you will be eligible for a 30% commission of equal value to the base pay range, making on-target earnings (OTE) a range of $170,300-$208,000 USD. This range reflects the US national compensation band. Additional premium percentages may apply based on tiered premium location-based strategy. Subject to the same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards, in addition to a full range of medical, financial, and/or other benefits. If hired, employees will be in an at-will position and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation or benefit program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Equal Opportunity The workplace provides equal opportunities to people of all ages, cultural backgrounds, sexual orientations, gender identities, abilities, veteran status, and more. Recruitment processes are accessible and inclusive, and adjustments can be made to ensure a fair and equitable experience.

🏢 Summary: Leadership role to build and scale a 0→1 ML/AI platform enabling large-scale model training and inference across the organization. The position drives technical vision, roadmap, and organizational structure while overseeing multiple teams and managers. It covers the full AI lifecycle, from training and serving to deployment and monitoring, using open-source tooling. 🗂️ Requirements: Experience building 0→1 ML/AI platforms, Hands-on experience with open-source ML infrastructure (e.g., Ray, AnyScale), Strong technical background in large-scale training and inference systems, Experience managing managers and leading multiple engineering teams, Proven record of delivering production-grade AI systems, Experience defining technical vision and roadmap for AI platforms, Experience supporting full AI lifecycle: training, serving, deployment, monitoring 📃 Skills: Python, Ray, AnyScale, ML, AI, OpenSource, Training, Inference, Deployment, Monitoring, Infrastructure, Platforms 🏢 Description: The AI platform is responsible for all AI infrastructure across Datadog. Our mission is to provide tools and platforms that enable data scientists and engineers to conduct large-scale training and inference with ease. We support products such as Bits AI, LLMObs and all our AI research. You’ll join a new and fast growing team that is critical to the future of Datadog. You will support building and scaling the team, help define our technical vision and help shape the roadmap. You will manage other managers and help define the future structure of our organization, participating in the recruitment of the future managers and ICs of the department. You’ll work closely with partner teams in the AI platform organization ensuring a seamless AI development cycle. You’ll also partner with the Applied AI org, product engineering teams, and Datadog infrastructure & tooling teams to build out systems from the ground up. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Lead a fast-growing organization around 20 people across 2 teams soon to be 3. You will define the roadmap for your scope and work with ICs and managers to establish the technical direction Collaborate with the engineering team and product manager to define the future of the roadmap Create a strong organizational culture centered around our engineering standards and customer- focused approach Support the whole lifecycle of AI development, including model training, serving, deployment and monitoring Who You Are: You’ve led teams that have built 0 to 1 ML/AI Platforms, with an emphasis on Open Source Tooling (i.e. Ray / AnyScale), versus pure out-of-the-box solutions. An experienced engineer and team player with strong technical skills to influence the technical direction of your teams A people leader with strong interpersonal skills, who has built and led high-performing software engineering teams, including managing managers Interested in working on an early stage project with many challenges to solve and a fast iteration cycle. You bring a strong bias for delivery and make impact through ambiguity. You have a track record of delivering high-quality software on schedule and collaborating closely with product partners. Datadog values people from all walks of life. We understand 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 skills, 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:$234,000—$300,000 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: Technical leadership role focused on defining architecture, setting technical vision, and ensuring engineering excellence in Python-based projects. The position combines hands-on system design with people management, mentoring developers and supporting presales with high-level technical solutions. It involves making strategic technology decisions, managing technical debt, and delivering high-quality, scalable digital commerce systems. 🗂️ Requirements: 6+ years of commercial experience in Python, Experience with frontend technologies (React preferred), Strong system design and software architecture skills, Experience in technical leadership and people management, Ability to make architectural and technology stack decisions, Experience in managing technical debt and enforcing coding standards, Ability to translate business requirements into technical solutions, Fluent English (C1+) and Polish 📃 Skills: Python, React, Strapi, Medusa, Saleor, Adyen, CMS, E-commerce, Architecture, SystemDesign 🏢 Description: Description Netguru is a trusted partner in digital commerce. The company helps leading brands modernize B2B solutions, marketplaces, and retail ecosystems. Since 2008, it has empowered businesses with cutting-edge technology, AI-powered personalization, and world-class engineering and design teams. A certified B Corporation®, Netguru is trusted by major brands including IKEA, VW, OLX, Delivery Hero, Żabka, Wolt, Careem, and Vinted. Salary ranges: PLN 14 000 - 23 500 monthly gross (Contract of employment). PLN 16 800 - 28 200 monthly before tax (Long-term contract (B2B)) + 20 paid days off. Tasks & Responsibilities: Define and maintain the technical vision for assigned projects and stack practice. Make architectural and technology stack decisions aligned with long-term strategy. Enforce coding standards, best practices, and engineering excellence. Manage technical debt – identify, prioritise, and oversee resolution. People Management of up to 12 people. Provide direct line management for developers: 1:1s, performance reviews, career planning, salary input. Mentor developers through code reviews, pair programming, and knowledge-sharing initiatives. Participate in recruitment and ensure effective onboarding for new hires. Support presales processes with technical expertise, including high-level designs, architecture proposals, and highlighting potential risks and challenges. Decompose business requirements into technical deliverables and support accurate estimations. Promote innovation by monitoring trends and recommending relevant solutions. Contribute to department-wide discussions on technologies and ways of working, providing input on efficiency, optimization, and best practices. Strengthen client trust and satisfaction (NPS) by ensuring high technical quality and timely delivery. Requirements Must-have: Deep technical expertise in Python - min. 6+ years of experience . Experience in frontend (preferable React), Strong system design and architecture skills . Previous experience in people leadership : coaching, feedback, conflict resolution. Excellent communication skills with both technical and business stakeholders. Decision-making and proactive problem-solving. Ability to balance business constraints with technical quality. Excellent command of written and spoken English (C1+) and Polish. Nice-to-have: Experience with headless solutions like CMS (Strapi), E-commerce (Medusa, Saleor) or payment gateways (Strapi, Adyen) will be an additional advantage. Benefits Access to the WorkSmile platform offering benefits adapted to your preferences: Multisport card, Private health insurance package, Life insurance, And hundreds of other options to choose from 15 categories (shopping, leisure, travel, food, etc.). Discounts on Apple products . Performance Bonus . Various internal initiatives : webinars, knowledge-sharing sessions, internal conferences. 20 paid days off . Don't hesitate and apply right away! At Netguru, we're committed to creating an inclusive environment for everyone. If you require any disability-related adaptations during the recruitment process, please let us know. We're here to help!

🏢 Summary: Forward Deployment Engineer role focused on embedding with clients to scope, build, and ship production-ready AI systems while contributing reusable assets to an internal AI platform. The position combines client delivery, pre-sales, and hands-on development, with ownership from discovery through production. It requires strong consulting capabilities and deep expertise in AI system design and deployment. 🗂️ Requirements: 5+ years of professional experience in software engineering, 3+ years hands-on experience building and shipping AI-assisted systems, 2+ years in client-facing consulting or pre-sales engineering role, End-to-end ownership: discovery, scoping, build, production, handoff, Experience running discovery workshops and gathering requirements, Ability to translate business needs into technical scope, Experience designing and deploying AI systems to production, Experience integrating with client systems and SaaS platforms, Experience with cloud deployment and security reviews, Fluency in Polish (B2+) and English (B2+) 📃 Skills: Python, TypeScript, LLMs, Claude, GPT, RAG, MCP, REST, iPaaS, CRM, BI, Cloud 🏢 Description: Description Our mission at Netguru is to help entrepreneurs and innovators shape the world through beautiful software. We care about trust, taking ownership, and transparency. As a Certified B Corporation®, we offer a safe, inclusive, and productive environment for all team members, and we’re always open to feedback. If you want to work from home and be a full-time employee, great! We want to create the right opportunities for you. Over the past ten years, Netguru has changed the way people bank, listen to music, learn languages, and rent bicycles. Some of their clients include Fortune 500 companies and startups like or . Netguru works with the largest brands in the world, such as , or . As the Forward Deployment Engineer you will sit at the intersection of client delivery, pre-sales, and internal AI tooling. You embed with a client (or an internal Netguru team), translate ambiguous problems into a defensible technical scope, and ship working AI systems to production - fast. Half of your time goes back into Netguru: every reusable pattern you spot in the field becomes a skill, agent, or MCP inside NetguruOS. This is a builder role, not an advisory one. Proof of work is a running system - not a deck. Salary: from 20000PLN net on B2B contract + 20 paid days off or from 16700PLN gross on Contract of Employment What you'll do: Client engagements: Embed temporarily into the team that owns the problem — client engineering org or internal Netguru team. Run discovery with stakeholders from CTO down to end-user. Run workshops, uncover requirements, clarify business needs, and translate ambiguous pain into a written technical scope you can defend. Analyze customer processes, identify bottlenecks, and propose digital or AI-driven improvements. Lead pre-sales on AI opportunities — scope, price, propose, close. Act as a trusted advisor, challenging assumptions and recommending better technical, product, or process approaches when appropriate. Communicate effectively with both technical and non-technical stakeholders, translating complex AI and engineering concepts into clear business language. Work comfortably within client environments, adapting to their tools, security requirements, workflows, governance models, and decision-making structures. Take ownership of outcomes, ensuring solutions deliver measurable business value, adoption, and long-term impact. Build Prototype in days, not weeks — working software, not slides. Write production-grade Python or TypeScript (or whatever the client runs). Ship AI-enabled workflows: copilots, agents, RAG systems, automation, internal tooling. Integrate with the client's existing stack. Design solutions that are not only technically sound but also usable, reliable, and aligned with real user workflows. Stand up evals, observability, and guardrails before going live. Own the path to production: security review, procurement, change management. Identify opportunities where AI can improve processes, reduce manual effort, accelerate decision-making, or create new product capabilities. Build internally (≈50% of the role) Extend Netguru's internal AI platform with new agents, MCPs, and skills based on field learnings Build enablement tooling for internal AI delivery teams — templates, runbooks, reusable skills Codify reusable client patterns back into NetguruOS Requirements Experience 5+ years total, including 3+ years hands-on building and shipping AI-assisted systems. 2+ years in a client-facing consulting or pre-sales engineering role. Proven full-cycle ownership: discovery → scoping → build → production → handoff. Comfortable with both technical and business stakeholders in the same engagement. Strong understanding of business processes and the ability to translate operational challenges into practical software and AI solutions. Experience gathering requirements, facilitating discovery workshops, and transforming ambiguous business problems into actionable implementation plans. Understanding of AI adoption challenges, including data readiness, user trust, governance, compliance, change management, and operational integration. Communicative (B2+) Polish and English. Technical Production-grade Python and/or TypeScript — shipped systems, not scripts. LLM stack fluency (Claude, GPT, open-weight) — knows when to use which and why. AI system design: agents, RAG pipelines, copilots, MCP servers, sub-agents. Eval-driven development — defines success metrics before shipping, measures after. Integration experience: REST APIs, iPaaS, common SaaS (CRM, PM, BI). Cloud deployment, security reviews, change management. Consulting & communication Strong customer-facing mindset with the ability to understand stakeholder needs and translate them into practical software solutions. Translates ambiguous client pain into written technical scope — and defends it. Credible with a CEO and an engineer on the same day. Proposal writing and deal scoping for AI engagements. Senior stakeholder management without hand-holding. Ability to communicate AI concepts, architecture decisions, risks, trade-offs, and implementation options to non-technical audiences. Solution-oriented consulting approach focused on delivering business outcomes rather than simply implementing requested features. Mindset Builder by default — running system over recommendation deck. Stack-agnostic — picks the right tool, not the favorite one. Walks into chaos, imposes structure, delivers clarity. Ships in days, not weeks. Thinks beyond delivery and takes responsibility for customer adoption, feedback, iteration, and measurable business impact. Nice to have: Domain experience in Finance, Retail, or Supply Chain Public presence - conference talks, open-source, published writing on AI SDLC orchestration and multi-agent pipelines What success looks like (first 6–12 months) First AI engagement scoped, built, and delivered to production At least one reusable asset (agent skill, MCP, eval suite) shipped into NetguruOS Measurable time savings from internal tooling contributions Benefits Access to the WorkSmile platform offering benefits adapted to your preferences: Multisport card. Private health insurance package. Life insurance. Hundreds of other options to choose from 15 categories (shopping, leisure, travel, food, etc.). Discounts on Apple products. Support for your growth - a head/manager’s budget available to every employee. PLN 175 monthly lump sum (ryczałt) for remote employees (Contract of Employment) Various internal initiatives: webinars, knowledge-sharing sessions, . Don't hesitate and apply right away! At Netguru, we're committed to creating an inclusive environment for everyone. If you require any disability-related accommodations during the recruitment process, please let us know. We're here to help!

🏢 Summary: Leadership role managing end-to-end talent acquisition operations across field and corporate hiring nationwide, with ownership of recruiting processes, ATS administration, sourcing strategy, analytics, and recruiter team performance. The role focuses on optimizing hiring metrics, managing recruiting budgets and vendor ROI, and delivering a high-quality candidate experience in a high-growth environment. 🗂️ Requirements: 5+ years of full-cycle recruiting experience, 2+ years leading or mentoring a talent acquisition team, Hands-on Greenhouse system administration experience, Experience managing high-volume and corporate recruiting simultaneously, Experience building recruiting dashboards and reporting metrics, Experience managing recruiting budgets or vendor spend, Ability to present recruiting data to senior leadership, Strong communication and stakeholder management skills 📃 Skills: Greenhouse, ATS, Indeed, Recruiting, Sourcing, Dashboarding, Reporting, Analytics, ROI, P&L 🏢 Description: About Us Vertex Service Partners is a home improvement services company focused on residential roofing and other exterior services across the United States. Backed by Alpine Investors, a top-decile private equity fund with $4.0 billion of committed capital, Vertex is building a best-in-class national platform. Our company is built on our core values—servant leadership, unwavering character, a growth mindset, persistence, empowerment, pace, and fun—and guided by three pillars: being the Employer of Choice, Partner of Choice, and Contractor of Choice. We offer transformative support in operations, marketing, training, talent, finance, and technology, all while preserving the autonomy of local brands.Position Summary The Talent Acquisition Manager will lead Vertex's recruiting team and own our end-to-end hiring function across field and corporate roles nationwide. This is a high-impact leadership role for someone who is equally comfortable building process, coaching recruiters in high volume positions, presenting data to senior leadership, and rolling up their sleeves on hard-to-fill searches. You will be responsible for time-to-fill performance, team engagement, source spend optimization, and the quality of every candidate experience we deliver. Key Responsibilities Process Design & ATS Ownership: Build and maintain Greenhouse as Vertex's system of record — including pipeline stages, job templates, scorecards, integrations, and reporting. Ensure data accuracy and team hygiene standards that enable clean reporting and real-time visibility into recruiting activity. Team Leadership & Accountability: Lead, coach, and develop a team of recruiters across two distinct hiring motions: high-volume partner-based field recruiting and longer-cycle corporate and professional search. Set clear performance standards, deliver direct feedback, and invest in individual career development. Data-Driven Decision Making: Own the weekly and monthly TA dashboard — pipeline health, funnel conversion, time-to-fill, source ROI, and recruiter-level performance. Use data to drive real decisions: when to accelerate, when to pause, and when to escalate. Sourcing & Budget Optimization: Actively manage Indeed sponsorship ROI (adjusting bids, pausing underperformers, reallocating to high-ROI roles). Pilot and measure creative sourcing channels — referral programs, trade associations, community networks, and niche boards. No spend continues without measurable justification. Partner Recruiting Calendar: Own the high-volume partner recruiting calendar across all regions. Ensure recruiter capacity, pipeline readiness, and job posting activation are aligned to each partner start date; flag risks to fill targets with enough lead time to course-correct. Senior Stakeholder Partnership: Participate in monthly TA reviews presenting pipeline KPIs, P&L, and vendor spend to the VP of People, President, and FP&A. Surface proactive insights on hiring health and make recommendations with data behind them. Candidate Experience: Partner with field HR and operations teams to ensure a consistent, high-quality candidate experience. Own the handoff from offer acceptance to onboarding and close feedback loops that improve both sourcing quality and retention outcomes. Key Outcomes ≤ 60-day time to fill for standard VPS roles (job approval to offer acceptance); ≤ 90 days for leadership roles 85%+ offer acceptance rate (excluding background check failures) Team eNPS of 70+ and Hiring Manager NPS of 70+ Real-time visibility into open req pipeline, funnel conversion rates, and recruiter capacity at all times All Indeed sponsorship and vendor spend actively managed with measurable ROI justification Qualifications & Characteristics Required: 5+ years of full-cycle recruiting experience, including 2+ years leading or mentoring a TA team Hands-on Greenhouse experience as a system owner — not just a user. You've built templates, configured stages, set up scorecards, and held a team accountable to hygiene standards Demonstrated success running both high-volume recruiting and professional corporate search simultaneously. Track record of building and presenting recruiting dashboards (pipeline health, funnel conversion, source ROI) and using them to make real decisions Experience owning or managing a recruiting budget, Indeed sponsorship, or vendor spend with accountability for ROI Strong direct communication skills — you give timely, honest feedback to your team and are direct with hiring managers when something isn't working Preferred: Experience in a PE-backed, high-growth, or multi-site services environment Familiarity with field/trades recruiting (roofing, construction, home services, or similar) Experience presenting to executive leadership or participating in monthly P&L reviews Compensation & Benefits Disclosure Compensation for this role may be provided as hourly pay, salary, commission, piece-rate, bonuses, incentives, or a combination of these methods, depending on the position. The "Estimate of Total Expected Annual Earnings" listed reflects our good-faith estimate of what we reasonably expect to pay for this role, based on factors such as experience, skills, candidate geographic location, state the job is located in, historical trends, and business needs. Actual earnings may vary. Where required by law, we also provide a general description of benefits and other forms of compensation offered, which may include health insurance, retirement plans, paid time off, and other employee programs.Estimate of total expected annual earnings: $140,000—$150,000 USDBenefits: Full-time employees are eligible to participate in the following benefits: Health, Dental, and Vision Insurance 401(k) with company match Company sponsored Life and AD&D coverage Paid Time Off Opportunities for growth and on-the-job training Why Join Us? Build Something Big – Shape processes for a rapidly growing organization. Growth-Oriented Culture – Work in a dynamic, people-first environment. Make an Impact Across Regions – Partner with business leaders to drive meaningful change. Apply Today!Vertex Service Partners is an equal opportunity employer and does not discriminate based on race, color, religion, sex, national origin, political affiliation, sexual orientation, marital status, disability, age, military service, or any other protected class. If you need a reasonable accommodation due to a disability, please contact Human Resources with your request and contact information. Applicant Privacy Policy

🏢 Summary: Senior Product Manager role responsible for defining and executing the strategy for integration platforms, developer tooling, and SDKs within a large SaaS ecosystem. The position focuses on scaling integrations with major technology partners, improving developer experience, and ensuring high-quality backend standards for ecosystem contributions. You will drive platform evolution, integration infrastructure, and technical enablement to accelerate partner and developer adoption. 🗂️ Requirements: 5+ years in technical product management, Experience in B2B SaaS or cloud infrastructure, Experience with SDK design, Experience managing backend services, Understanding of system architectures, Experience with developer tools or platforms, Track record of shipping scalable infrastructure products, Bachelor’s degree in Engineering, Computer Science, Information Technology or equivalent 📃 Skills: SaaS, Cloud, SDK, APIs, Backend, Architecture, Integration, Monitoring, Metrics, Schemas, DevTools, Infrastructure 🏢 Description: As a Senior Product Manager in the Ecosystem and Integrations group, you will own the vision, strategy, and execution for a critical portion of Datadog’s integration landscape. You will focus on scaling Datadog’s connectivity with major SaaS providers and strategic technology partners while leading the evolution of the tools—including the Publication Platform, Integration Task Service, and SDKs—that empower external developers and internal teams to build within our ecosystem. What You’ll Do Publication Platform & Task Service: Oversee the end-to-end vision and strategy for the Publication Platform (Pub Plat) and the Integration Task Service. Ensure these systems are robust, scalable, and intuitive for both internal and external developers. Ecosystem Relationship Enablement: In close collaboration with Technology Partner Managers (TPMs), help manage and scale technical relationships across the entire partner ecosystem. You will provide the product guidance and technical frameworks that allow TPMs to manage partner success at scale. Integration Developer Tooling & SDKs: Drive initiatives to increase development velocity through extensible SDKs (e.g., CrawlerSDK) and self-service enablement. Your goal is to make the developer experience (DX) seamless from the first line of code to production. Marketing & GTM Initiatives: Lead the creation of technical blogs, release notes, and feature announcements. Work with PMM and TPMs to define “rules of engagement” for marketing efforts with ISVs and drive joint GTM motions. Global Ecosystem Growth: Facilitate partner contributions through direct engagement and streamlined onboarding. Act as the primary PM advocate for third-party developers, ensuring our tooling roadmap removes friction for the ISV community. Quality & Backend Standards: Establish and enforce automated quality standards for the integration "under the hood"—including monitors, metrics metadata, and data schemas—ensuring that everything built via our tooling meets Datadog's high reliability and performance bars. Who You Are Experience: You have 5+ years of experience in technical product management, ideally within B2B SaaS, cloud infrastructure, or developer tools. Technical Acumen: You enjoy gaining a deep understanding of complex system architectures, developer workflows, and building for extensibility. Platform Thinker: You enjoy building "the machine that builds the machine." You have experience with SDK design and managing backend services that support high-concurrency developer tasks. Business minded: You think like a business owner and hold yourself and the organization accountable for KPIs. Communication Skills: You have strong communication skills and the willingness to present your ideas to technical stakeholders and executives alike. Analytical skills: You have sharp critical thinking and analytical skills and the ability to link the product roadmap with business objectives. Collaborative Partner: You have demonstrated success in working alongside business-oriented roles (like TPMs or BizDev) to translate technical capabilities into strategic partner value. Proven Impact: A track record of shipping scalable infrastructure or developer products and driving meaningful business metrics like developer adoption and time-to-market. You have a Bachelor's Degree in Engineering, Computer Science, Information Technology, or equivalent experience. #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:$187,000—$240,000 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: Leadership role responsible for setting technical vision and delivering AI-powered products across the platform, from research and model development to production operations. The position oversees multiple teams building ML models, agentic systems, and conversational AI solutions at large scale. It combines hands-on AI expertise with organizational leadership to drive end-to-end AI strategy and operational excellence. 🗂️ Requirements: Strong background in AI, Machine Learning, or Data Science, Proven experience building and shipping ML or AI products in production, Experience leading multiple engineering and applied science teams, Deep expertise in LLMs, agentic systems, anomaly detection, time-series modeling, NLP, RAG, or ML infrastructure, Experience owning ML systems from data pipelines to deployment and operations, Ability to define technical strategy and partner with Product, BS/MS/PhD in Machine Learning, Computer Science, Engineering, or related field or equivalent experience 📃 Skills: MachineLearning, DataScience, LLMs, NLP, RAG, AnomalyDetection, TimeSeries, MLInfrastructure, ConversationalAI, AgenticSystems, DataPipelines, ModelTraining, ModelDeployment, MLOps 🏢 Description: Datadog's Applied AI group builds AI foundations and AI-powered features across the Datadog platform. We train ML models, build agents, and ship natural language interfaces that help thousands of customers detect problems, investigate incidents, and act on their infrastructure. Our teams work with some of the world's richest observability data, hundreds of trillions of data points per day, to build production AI at real scale. Our work spans ML models, agentic systems, conversational AI, foundation models, and the infrastructure that supports them. As a Manager II, you will lead multiple teams of engineers, applied scientists, and managers in this space. You own the technical direction and the team culture. You drive work from research through production, partner with product to set priorities, and help shape how Datadog uses AI to close the loop between detecting a problem and fixing it. At Datadog, we place value in our office culture—the relationships and collaboration it builds and the creativity it brings. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Lead and grow multiple teams of engineers, applied scientists, and managers working on AI-powered features across the Datadog platform Set technical vision and strategy for your area in partnership with Product Ship AI products end-to-end, from data pipelines and model training through evaluation, deployment, and production operations Coach and develop senior engineers and managers, building a culture of high performance, psychological safety, and clear feedback Drive collaboration across Applied AI, product, and partner engineering teams to deliver on Datadog's AI priorities Build evaluation and quality practices for AI systems, offline benchmarks, online metrics, and continuous improvement loops Own operational excellence for your teams' systems: reliability, on-call, incident response, and technical quality Hire and plan for organizational growth as the AI group scales Help shape Datadog's broader AI roadmap and promote best practices in ML engineering and career development across the organization Who You Are: An experienced technical leader with a strong background in AI, machine learning, or data science Proven track record building and shipping ML or AI-powered products in production Experience leading and mentoring multiple teams, including senior engineers and engineering managers Deep technical expertise in one or more areas: large language models, agentic systems, anomaly detection, time-series modeling, NLP, retrieval-augmented generation, or ML infrastructure Comfortable partnering with Product to set vision and strategy, and turning ambiguous problems into clear plans A strong people manager who can attract, develop, and retain top AI and engineering talent BS/MS/PhD in Machine Learning, Computer Science, Engineering, or related field, or equivalent professional experience Datadog values people from all walks of life. We understand 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 skills, 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 An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) Free, global Spring Health benefits for employees and dependents age 6+ Competitive global benefits Giving programs 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:$234,000—$300,000 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.