Senior Ai Ml Architect Jobs

Location Details: Colombia, remote At GoDaddy, the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join Our Team... This role is for a Senior Backend Software Engineer in Colombia who will be a founding member of a brand new Sales Intelligence team within GoDaddy. We're building from the ground up to transform how GoDaddy does sales. Our mission: add intelligence to lead generation and assignment, and build the right tools so sales teams can focus on what matters most—bringing in new customers. This team will build greenfield solutions, optimize existing Salesforce workflows, and leverage AI to surface the right context at the right time. We believe in rolling out AI-powered features to real users, not just developing with AI tools internally. If you have the hunger to learn on the job and want to shape a team from day one, this is the opportunity for you. What you'll get to do... Design and build intelligent lead scoring, routing, and assignment systems that directly impact sales outcomes, while implementing AI/ML-powered features using LLMs, embeddings, and retrieval systems to provide contextual intelligence to sales reps. Develop Salesforce-based solutions (Apex, Flows, Lightning Web Components, integrations) and build backend services and APIs in Java and TypeScript that power sales tools and AI-driven capabilities. Collaborate closely with Sales, Revenue Operations, and Data Science teams to identify and deliver high-impact business opportunities. Own the full software lifecycle, including requirements gathering, solution design, development, release, monitoring, and continuous Integration. Propose and drive engineering initiative

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, TX About the Role You’ll help define how machine learning models run across Cloudflare’s global network, from frontier open LLMs and real-time voice models to customer-deployed models served on heterogeneous GPUs and next-generation accelerators. You’ll work with systems engineers, product teams, hardware partners, and AI/ML engineers to bring models into production with low latency, strong reliability, and effic

Our Database Experience (DBX) Team A great MongoDB experience starts with great tools. The Database Experience team builds the libraries and tools that developers use day-to-day working with MongoDB. Our mission is to increase developer adoption, satisfaction and retention by providing a reliable, enjoyable interface for developers and other end-users. Our senior engineers are typically specialists in a particular programming language, but are capable of contributing to projects in other languages as well. For this role, we're looking for someone who will enjoy designing, writing, and supporting open source libraries for the Python ecosystem developers that use MongoDB. This is an opportunity to make a major impact at MongoDB as Python is one of the most popular runtimes for MongoDB users, and our driver has over 3 million daily pypi downloads. You might be right for this role if you... Have substantial experience writing high-quality software in Python Have extensive knowledge in Python tools and frameworks, scientific python and web development frameworks Have practical experience with AI/ML frameworks and technologies in Python, including large language models and agentic tools are a plus Have an interest in learning and staying up-to-date with Python ecosystem trends and best practices and incorporating them into your work Can make pragmatic design decisions, balancing tradeoffs such as usability, maintainability and delivery time Want to, or already do, participate in open source software development and communities, both online via e.g. GitHub and optionally through conferences and speaking engagements Communicate well, internally and externally, both verbally and in writing Enjoy collaborating with teammates, and mentoring junior engineers and interns Are self-motivated, organized, and have strong time management skills You'll be on the team responsible for... Developing and supporting the MongoDB Python drivers and subsidiary libraries ( PyMongo , Django Mon

Our Database Experience (DBX) Team A great MongoDB experience starts with great tools. The Database Experience team builds the libraries and tools that developers use day-to-day working with MongoDB. Our mission is to increase developer adoption, satisfaction and retention by providing a reliable, enjoyable interface for developers and other end-users. Our senior engineers are typically specialists in a particular programming language, but are capable of contributing to projects in other languages as well. For this role, we're looking for someone who will enjoy designing, writing, and supporting open source libraries for the Python ecosystem developers that use MongoDB. This is an opportunity to make a major impact at MongoDB as Python is one of the most popular runtimes for MongoDB users, and our driver has over 3 million daily pypi downloads. You might be right for this role if you... Have substantial experience writing high-quality software in Python Have extensive knowledge in Python tools and frameworks, scientific python and web development frameworks Have practical experience with AI/ML frameworks and technologies in Python, including large language models and agentic tools are a plus Have an interest in learning and staying up-to-date with Python ecosystem trends and best practices and incorporating them into your work Can make pragmatic design decisions, balancing tradeoffs such as usability, maintainability and delivery time Want to, or already do, participate in open source software development and communities, both online via e.g. GitHub and optionally through conferences and speaking engagements Communicate well, internally and externally, both verbally and in writing Enjoy collaborating with teammates, and mentoring junior engineers and interns Are self-motivated, organized, and have strong time management skills You'll be on the team responsible for... Developing and supporting the MongoDB Python drivers and subsidiary libraries ( PyMongo , Django Mon

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Senior Software Engineer (EAA) The CEE Surfaces team, part of Coinbase's Customer Experience & Engagement org within EAA, owns the customer- and agent-facing support experiences across Help Center, chat, in-product entry points, and agent tools. We're hiring a Senior Software Engineer to build and scale high-impact CX journeys spanning React/TypeScript frontends, Go backend services, and integrations with the CEE Foundations and Intelligence layers. You'll ship reliable, measurable features that improve automation, resolution quality, and customer satisfaction across every support surface. What you'll do: Build end-to-end full-stack features across React/TypeScript frontends and Go backend services for Help Center, chat, and agent-facing workflows. Partner with Product, Design, CX Ops, and peer engineering teams to turn high-volume customer problems into intuitive self-serve and assisted-support experiences. Own APIs, service integrations, and UI flows that connect Surfaces with CEE Foundations and Intelligence capabilities, including routing, procedures, data-plane integrations, and evaluation systems. Drive CX outcomes through experimentation, instrumentation, and iterative delivery, using metrics such as containment, AtR, CSAT, and escalation rates. Lead integration of AI/ML and vendor capabilities into customer and agent experiences with appropriate guardrail

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Observe by Snowflake is an AI-powered observability platform built on the Snowflake AI Data Cloud and engineered for scale. We ingest and store logs, metrics, traces, and events on an open, scalable data lakehouse, using open formats like Apache Iceberg, at dramatically lower cost. A dynamic Context Graph and chat-based AI SRE provide rich context and automated workflows so teams can move from detection to root cause of production issue and resolution 10x faster. Leading engineering teams at companies like Capital One, Topgolf, and Dialpad rely on Observe to troubleshoot hundreds of terabytes of telemetry daily while maintaining reliability at enterprise scale. As part of Snowflake, Observe combines startup-style ownership and velocity with the global reach, operational excellence, and ecosystem of one of the world’s leading data platforms. In this role you will: Develop interactive, data-rich user interfaces using React, TypeScript, and Vega, with a focus on integrating LLM-driven features (e.g., natural language querying, generative UI, and AI-assisted data storytelling). Lead the end-to-end delivery of substantial product features, ensuring AI outputs are presented with high reliability and low latency. Work closely with PMs, UX designers, and AI/ML engineers to bridge t

ROLE SUMMARY As an AI-enabled strategic scientific leader, you will partner with Oncology Research Leadership to integrate AI-driven strategies that will drive data-informed decision-making across our Oncology Research pipeline. As the AI Portfolio Lead, you will bridge cutting-edge AI/advanced analytics with deep Oncology R&D expertise to guide our portfolio strategy. Working as an individual contributor reporting into the Head, Portfolio Strategy and Program Management, you will analyze and continuously assess Oncology Research projects using AI-driven insights (predictive models, scenario simulations, competitive intelligence) and propose actionable strategies to Oncology Research Leadership. This role is science-focused and spans across discovery and preclinical stage programs, ensuring that our project teams pursue the most promising scientific approaches and mechanisms of action. Your work will directly inform pipeline prioritization and resource allocation decisions, enhancing the quality and objectivity of governance deliberations with robust data. ROLE RESPONSIBILITIES Portfolio Analysis and Insights: Continuously analyze the oncology Research portfolio (ESD through Preclinical) using advanced AI/ML tools and analytics to evaluate each program’s scientific strength, probability of success, and strategic portfolio fit per disease area strategies. Strategy Recommendation: Develop and propose data-driven portfolio strategies (at both project and portfolio levels) to senior leaders and Research governance committee. Use scenario analysis and predictive modeling to highlight optimal project prioritization, pipeline balance, and resource allocation scenarios. AI-Enabled Decision Support: Integrate AI-derived insights (e.g. machine learning predictions, knowl

Join Delphi - Where Innovation meets transformation At Delphi, we believe in creating an environment where our people thrive. Our hybrid work model empowers you to choose where you work—whether it's from the office, your home, or a mix of both—so you can prioritize what matters most. We are committed to supporting your personal goals, family, and overall well-being while driving transformative results for our clients. We welcome exceptional talent from anywhere across the globe. Interviews and onboarding are conducted virtually, reflecting our digital-first mindset. Rooted in the region, we specialize in delivering tailored, impactful solutions in Data, Advanced Analytics and AI, Infrastructure, Cloud Security, and Application Modernization. Whether it’s enabling predictive analytics , transforming operations with automation, or driving customer engagement with intelligent platforms, we are the trusted partner for organizations ready to embrace a smarter, more efficient future. We are looking for a hands-on Senior QA Consultant to lead end-to-end testing of AI and Generative AI applications across enterprise environments. This role combines strong expertise in traditional QA engineering with modern AI evaluation and validation practices. The ideal candidate will drive quality assurance initiatives for RAG pipelines, multi-agent systems, OCR and Speech-to-Text solutions while ensuring production grade quality outcomes in regulated industries such as Finance, Healthcare, and Insurance. The successful candidate will lead a small QA pod, collaborate closely with engineering, AI/ML, product, and business teams, and act as the client-facing QA owner for enterprise AI engagements. This role requires strong technical leadership, automation expertise, AI evaluation capabilities, and excellent stakeholder management skills. Experience Requirements • 10–15 years of experie

About the Role Sigmoid is looking to onboard a Senior Leader to anchor our CPG Supply Chain Analytics practice in Bengaluru. In this role, you will drive strategic initiatives, foster innovation, and provide visionary leadership to our Supply Chain Analytics practice. Roles and Responsibilities Leading and overseeing our Supply Chain Analytics Practice development, setting strategic direction and driving business growth. Develop and execute a comprehensive strategy to expand our presence in the industry practice, identifying market opportunities and driving revenue growth. Collaborate with sales, marketing, and business development teams to develop go-to-market strategies, identify key clients, and drive new business opportunities. Facilitate the development of advanced analytics (AI/ML) and data modeling to optimize decisions. Knowledge Management: Author or contribute to articles and Intellectual Capital that advance the quality of client service and oversee practice-level knowledge management activities to lead and propagate a knowledge management culture within management consulting services. Partner with clients to understand their business challenges and opportunities, providing strategic guidance and innovative solutions. Drive thought leadership initiatives, representing our company at industry events, conferences, and forums. Qualifications Bachelor’s Degree (BE/BTech - CS) from Tier I/II universities like IITs/NITs and MBA from top-tier B-schools (IIM) preferred. 8-12 years of experience in consulting and implementing Data & Analytic solutions for large CPG customers. Direct front-office consulting experience with strategic customer leadership is a must. Strong leadership and management skills, with the ability to inspire and motivate teams to achieve excellence. Excellent communication and interpersonal skills, with the ability to build and maintain relationships with clients and stakeholders. Strategic mindset, with the ability to think critic

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. As Sr. Manager, Marketing Analytics, you'll be a senior individual contributor who transforms data into insights and drives decisions and strategy across our marketing channels. You'll own measurement and analytics for campaigns, partners, and field marketing—including attribution modeling, ROI optimization, and emerging AI capabilities—serving as the go-to analytics expert and thought partner for marketing leadership. What You'll Do Drive attribution modeling and full-funnel measurement across all marketing channels Translate data into actionable insights and recommendations for marketing leaders across the business Create forecasts and scenario models to inform annual budget planning and incremental asks Build and maintain self-service dashboards in Tableau for brand, demand gen, digital, and strategic events Partner cross-functionally with Field Analytics, Strategy & Planning, Marketing Leadership, and Data teams on performance narrative and QBRs Partner with the Marketing Data Operations team to maintain data quality across martech systems Implement AI/ML capabilities for predictive modeling and automated insights Design and support marketing experiments with rigorous testing and statistical validation Mentor and provide analytical guidance to junior analysts, and establish best practices for the broader analytics function Stay current with analytics tools and methods to drive competitive advantage What We're Looking For Experience: 8+

Datadog (NASDAQ: DDOG) is looking for a Product Strategy and Corporate Development Lead to drive Product vision, M&A, and venture investments for Datadog. You will work directly with Datadog's founders, partnering with Datadog's global engineering and product leaders to identify and execute transactions that expand our platform into new markets. This is not a traditional Corp Dev seat. You will operate on a small, high-autonomy team where technical depth matters as much as deal execution. You can expect to focus on the EMEA landscape, which is one of the most dynamic ecosystems in enterprise software right now, and you will be at the center of it. At the same time, you'll be working with our Product and Engineering leaders based in Europe, who will depend on you to be the fabric between our NYC and Paris HQs. Together, you'll be expected to go deep and autonomously explore new areas of expansion for us. 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: (Describe role responsibilities here) Be close to our Product & Engineering leaders to discover new areas of interest and acceleration before an M&A target is even identified, and stay ahead of market trends in AI/ML, observability, security, and cloud infrastructure to inform Datadog's growth strategy Identify and evaluate M&A targets and venture investment opportunities across European markets, with a focus on AI-native and infrastructure companies Build deep relationships with founders, VCs, and accelerators across the Paris, London, and Iberian ecosystems to generate proprietary deal flow Lead end-to-end due diligence: technical product assessments, financial modeling, valuation analysis, and integration planning Partner with senior engineering and product leaders to assess techni

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. ____ Why Snowflake ? Snowflakeはデータ革命の最前線に立ち、世界最高のデータとアプリケーションのプラットフォームの構築に取り組んでいます。私たちのミッションはデータサイロ化を解消して、「世界中のデータをモビライズすること」を目指しております。急成長していくデータの未来を私たちと共に築いていきましょう！ Solution Engineering team’s Mission ? Solution Engineeringチームは、営業チームやパートナーと密に連携しながら、お客様の課題を理解し、Snowflakeの価値をわかりやすく伝え、案件形成から技術検証、成約後の活用イメージづくりまでを支援する役割を担います。Associate Solution Engineerには、経験豊富なSEや営業メンバーと協業しながら、顧客への提案活動、デモ支援、技術的な学習と実践を通じて成長していくことを期待します。 The Impact You will Make 営業チームやSenior SEと連携し、見込み客や既存顧客に対するプレゼンテーション、デモ、技術説明を支援する。 顧客の業務課題や技術要件を理解し、Snowflakeの価値と結びつけて提案できるようになる。 PoCや技術検証の準備・実行を支援し、営業サイクル全体を通じてお客様の意思決定を後押しする。 データ、クラウド、AIの進化を学び続け、競合技術や関連ベンダーへの理解を深める。 製品、エンジニアリング、マーケティングなどの社内チームと協力し、現場の学びや顧客の声を共有する。 日本のSE組織における標準的な選考・育成の期待に沿って、技術力、プレゼン力、顧客提案力を段階的に高めていく。 Who You Are 必須要件 SaaS、クラウド、データプラットフォーム、アナリティクス、AI関連領域に強い関心を持ち、継続的に学習できる方 顧客または社内向けに、技術的な内容をわかりやすく説明しようとする姿勢をお持ちの方 データベース、データウェアハウス、ETL、アナリティクス、クラウドテクノロジーに関する基礎理解、または早期にキャッチアップできる素地をお持ちの方 SQLおよびデータ活用に関する基礎知識、またはハンズオンで学んだ経験をお持ちの方 顧客の課題を理解し、ソリューション提案へつなげようとする思考力をお持ちの方 コンピュータサイエンス、エンジニアリング、数学、または関連分野の学位、もしくは同等の実務経験をお持ちの方 日本語に堪能で、英語での業務に抵抗がない方 周囲を巻き込みながら学び、One Teamで成果を出そうとする姿勢をお持ちの方 歓迎要件 プリセールス、ソリューション提案、Sales Engineer、Solution Engineer、コンサルティング、またはそれに近い経験 デモ、ハンズオン、PoC、技術検証、または顧客向けプレゼンテーションの経験 パブリッククラウド、BI、データ統合、AI/MLなどの周辺技術に関する知識 顧客接点のある環境で、技術とビジネスの両方に関わ

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. ____ Why Snowflake ? Snowflakeはデータ革命の最前線に立ち、世界最高のデータとアプリケーションのプラットフォームの構築に取り組んでいます。私たちのミッションはデータサイロ化を解消して、「世界中のデータをモビライズすること」を目指しております。急成長していくデータの未来を私たちと共に築いていきましょう！ Solution Engineering team’s Mission ? Solution Engineeringチームは、営業チームやパートナーと密に連携しながら、お客様の課題を理解し、Snowflakeの価値をわかりやすく伝え、案件形成から技術検証、成約後の活用イメージづくりまでを支援する役割を担います。Associate Solution Engineerには、経験豊富なSEや営業メンバーと協業しながら、顧客への提案活動、デモ支援、技術的な学習と実践を通じて成長していくことを期待します。 The Impact You will Make 営業チームやSenior SEと連携し、見込み客や既存顧客に対するプレゼンテーション、デモ、技術説明を支援する。 顧客の業務課題や技術要件を理解し、Snowflakeの価値と結びつけて提案できるようになる。 PoCや技術検証の準備・実行を支援し、営業サイクル全体を通じてお客様の意思決定を後押しする。 データ、クラウド、AIの進化を学び続け、競合技術や関連ベンダーへの理解を深める。 製品、エンジニアリング、マーケティングなどの社内チームと協力し、現場の学びや顧客の声を共有する。 日本のSE組織における標準的な選考・育成の期待に沿って、技術力、プレゼン力、顧客提案力を段階的に高めていく。 Who You Are 必須要件 SaaS、クラウド、データプラットフォーム、アナリティクス、AI関連領域に強い関心を持ち、継続的に学習できる方 顧客または社内向けに、技術的な内容をわかりやすく説明しようとする姿勢をお持ちの方 データベース、データウェアハウス、ETL、アナリティクス、クラウドテクノロジーに関する基礎理解、または早期にキャッチアップできる素地をお持ちの方 SQLおよびデータ活用に関する基礎知識、またはハンズオンで学んだ経験をお持ちの方 顧客の課題を理解し、ソリューション提案へつなげようとする思考力をお持ちの方 コンピュータサイエンス、エンジニアリング、数学、または関連分野の学位、もしくは同等の実務経験をお持ちの方 日本語に堪能で、英語での業務に抵抗がない方 周囲を巻き込みながら学び、One Teamで成果を出そうとする姿勢をお持ちの方 歓迎要件 プリセールス、ソリューション提案、Sales Engineer、Solution Engineer、コンサルティング、またはそれに近い経験 デモ、ハンズオン、PoC、技術検証、または顧客向けプレゼンテーションの経験 パブリッククラウド、BI、データ統合、AI/MLなどの周辺技術に関する知識 顧客接点のある環境で、技術とビジネスの両方に関わ

PagerDuty (NYSE:PD) is a leader in Digital Operations Management. In an always-on world, organizations of all sizes trust PagerDuty to help them deliver a perfect digital experience to their customers, every time. Teams use PagerDuty to identify issues and opportunities in real time and bring together the right people to fix problems faster and prevent them in the future. Over 13,000 organizations (including 60 of Fortune 100) rely on PagerDuty to succeed with Digital Transformation, Cloud Migration, and DevOps Modernization. Notable customers include GE, Cisco, Genentech, Electronic Arts, Cox Automotive, Netflix, Shopify, Zoom, DoorDash, Lululemon and more. We are expanding rapidly as a platform for Digital Operations Management using AI/ML and Automation and growing our adoption by Development, IT, Customer Service, Security, and other teams across the organization. Country Manager, Director - Customer Success About the Role PagerDuty is seeking an experienced CSG leader and Chile Country Manager to lead our Chilean team and Santiago office. This role provides direct leadership for PagerDuty’s Customer Success, Support, and Professional Services teams located in Chile, as well as cross-functional leadership for Engineering, Solutions Consulting, Marketing, Finance, IT, and other resident functions. This role serves as PagerDuty's senior on-site leader in Chile, ensuring a unified culture and smooth day-to-day operations while each cross-functional team continues to report into its respective global leadership structure. Key Responsibilities Serve as the senior on-site leader for PagerDuty's Santiago office, providing direct leadership for Customer Success, Support and Professional Services teams (within our Customer Success Group) as well as cross-functional leadership across Engineering, Customer Success, Renewal Management, Marketing, and other resident teams. Lead the local Support and Services teams to accelerate customer success by collaborating with sales &a

PagerDuty (NYSE:PD) is a leader in Digital Operations Management. In an always-on world, organizations of all sizes trust PagerDuty to help them deliver a perfect digital experience to their customers, every time. Teams use PagerDuty to identify issues and opportunities in real time and bring together the right people to fix problems faster and prevent them in the future. Over 13,000 organizations (including 60 of Fortune 100) rely on PagerDuty to succeed with Digital Transformation, Cloud Migration, and DevOps Modernization. Notable customers include GE, Cisco, Genentech, Electronic Arts, Cox Automotive, Netflix, Shopify, Zoom, DoorDash, Lululemon and more. We are expanding rapidly as a platform for Digital Operations Management using AI/ML and Automation and growing our adoption by Development, IT, Customer Service, Security, and other teams across the organization. PagerDuty is looking for a Machine Learning Engineer who is passionate about collaborating with data scientists, product managers and engineers alike. As part of our team, you will help us accelerate the development and extension of products powered by Gen AI and many other shapes of Machine Learning. You’ll be contributing hands-on to the development of the services and pipelines that enable multiple ML/AI features in our product. You will have the opportunity to collaborate with multiple organizations, taking input and guidance from your senior stakeholders and helping bring our initiatives to reality. You’ll succeed by showcasing excellent capacity to manage time, demonstrating emotional intelligence as you navigate stakeholder relationships, and by continuously improving your technical skill set. Key Responsibilities Build and improve the capabilities that enable and accelerate the production of machine learning (ML) and generative AI (genAI) based solutions Partner with data scientists, effectively sharing engineering context and collaborating to support larger initiatives Incorporate the best ava