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Advanced Dram Process Integration Engineer Jobs

2,119 active opportunities · Updated for October 2026

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Explore current advanced dram process integration engineer jobs. Use filters to narrow by work mode, employment type, experience and date posted.

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Notion
📍 San Francisco• Full-time• $272K – $320K/yr
1mo ago

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About The Role Build the most advanced AI Meeting Notes product — and expand it into broader “AI data capture” features that help teams turn conversations into durable context, tasks, and knowledge. Our mission is to 10x the rate of business context & data that enters Notion — optimized for agents — so teams get superhuman memory across workstreams and customers. Notion workspaces that use AI Meeting Notes already enter 6x more data on a daily basis, so we’re well on our way. What You'll Achieve Ship end-to-end product experiences across capture → transcript → summary → follow-ups (full-stack ownership). Make meeting & data capture feel effortless and magical (e.g., speaker identification via audio waveforms, richer in-meeting UX, smarter organization). Improve summary quality that teams trust: structure, factuality, and citations that make downstream agents and humans more capable. Raise the bar on reliability & observability across the pipeline (SLOs, debugging workflows, incident response) for realtime systems. Build agentic meeting workflows that turn discussions into tasks, follow-ups, and organized knowledge — so “w

restaigo
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Ema (Enterprise Machine Assistant)
📍 San Francisco Bay Area• Full-time• $200K – $270K/yr
1mo ago

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Who you are We're looking for an innovative and passionate Machine Learning Engineers to join our team. You are someone who loves solving complex problems, enjoys the challenges of working with huge data sets, and has a knack for turning theoretical concepts into practical, scalable solutions. You are a strong team player but also thrive in autonomous environments where your ideas can make a significant impact. You love utilizing machine learning techniques to push the boundaries of what is possible within the realm of Natural Language Processing, Information Retrieval and related Machine Learning technologies. Most importantly, you are excited to be part of a mission-oriented high-growth startup that can create a lasting impact. You will: Conceptualize, develop, and deploy machine learning models that underpin our NLP, retrieval, ranking, reasoning, dialog and code-generation systems. Implement advanced machine learning algorithms, such as Transformer-based models, reinforcement learning, ensemble learning, and agent-based systems to continually improve the performance of our AI systems. Lead the processing and analysis of large, complex datasets (structured, semi-structured, and

pythonsqlazure
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Ema (Enterprise Machine Assistant)
📍 San Francisco Bay Area• Full-time• $160K – $220K/yr
1mo ago

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Who You Are We're looking for innovative and passionate Machine Learning Engineers to join our team. You are someone who loves solving complex problems, enjoys the challenges of working with huge data sets, and has a knack for turning theoretical concepts into practical, scalable solutions. You are a strong team player but also thrive in autonomous environments where your ideas can make a significant impact. You love utilizing machine learning techniques to push the boundaries of what is possible within the realm of Natural Language Processing, Information Retrieval and related spaces. Most importantly, you are excited to be part of a mission-oriented high-growth startup that can create a lasting impact. You Will Conceptualize, develop, and deploy machine learning models that underpin our NLP, retrieval, ranking, reasoning, dialog and code-generation systems. Implement advanced machine learning algorithms, such as Transformer-based models, reinforcement learning, ensemble learning, and agent-based systems to continually improve the performance of our AI systems. Process and analyze large, complex datasets (structured, semi-structured, and unstructured), and use your findings to inf

pythonsqlazure
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About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Who you are We're looking for an innovative and passionate Machine Learning Engineers to join our team. You are someone who loves solving complex problems, enjoys the challenges of working with huge data sets, and has a knack for turning theoretical concepts into practical, scalable solutions. You are a strong team player but also thrive in autonomous environments where your ideas can make a significant impact. You love utilizing machine learning techniques to push the boundaries of what is possible within the realm of Natural Language Processing, Information Retrieval and related Machine Learning technologies. Most importantly, you are excited to be part of a mission-oriented high-growth startup that can create a lasting impact. You will: Conceptualize, develop, and deploy machine learning models that underpin our NLP, retrieval, ranking, reasoning, dialog and code-generation systems. Implement advanced machine learning algorithms, such as Transformer-based models, reinforcement learning, ensemble learning, and agent-based systems to continually improve the performance of our AI systems. Lead the processing and analysis of large, complex datasets (structured, semi-structured, and

pythonsqlazure
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Snowflake
📍 Germany• Full-time
1mo ago

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. SUMMARY: As a Project Manager, you are the foundation of our delivery team, focusing on mid-sized technical projects. You provide critical visibility, service reviews, and reporting throughout the implementation lifecycle. You are a professional who moves fast to discover simpler ways to deliver results for our customers while adopting a deeply "Customer-Centric" mindset. WHY THIS ROLE? Impact: Own and manage the operational relationship with assigned clients, ensuring their applications scale to meet business needs. Growth: This "Journey-Level" position provides a clear path toward advanced project management by mastering "zero-surprise" reporting. Innovation: Work with bleeding-edge data warehouse technology in a truly disruptive software environment. WHAT YOU’LL DO: Project Governance: Maintain project documentation and track task effort in Smartsheet or Certinia. Work Structures: Create granular Work Breakdown Structures (WBS) and associate effort and resource naming to specific tasks. Meeting Leadership: Lead internal and client meetings with thorough documentation and rigorous follow-up. Conflict Management: Navigate internal resource conflicts effectively to keep projects on track. Success Metrics: Maintain project margins within +/- 5% of target and achieve CSAT sco

S
Snowflake
📍 Germany• Full-time
1mo ago

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. As a Project Manager, you are the foundation of our delivery team, focusing on mid-sized technical projects. You provide critical visibility, service reviews, and reporting throughout the implementation lifecycle. You are a professional who moves fast to discover simpler ways to deliver results for our customers while adopting a deeply "Customer-Centric" mindset. WHY THIS ROLE? Impact: Own and manage the operational relationship with assigned clients, ensuring their applications scale to meet business needs. Growth: This "Journey-Level" position provides a clear path toward advanced project management by mastering "zero-surprise" reporting. Innovation: Work with bleeding-edge data warehouse technology in a truly disruptive software environment. WHAT YOU’LL DO: Project Governance: Maintain project documentation and track task effort in Smartsheet or Certinia. Work Structures: Create granular Work Breakdown Structures (WBS) and associate effort and resource naming to specific tasks. Meeting Leadership: Lead internal and client meetings with thorough documentation and rigorous follow-up. Conflict Management: Navigate internal resource conflicts effectively to keep projects on track. Success Metrics: Maintain project margins within +/- 5% of target and achieve CSAT scores great

S
Snowflake
📍 Spain• Full-time
1mo ago

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. As a Project Manager, you are the foundation of our delivery team, focusing on mid-sized technical projects. You provide critical visibility, service reviews, and reporting throughout the implementation lifecycle. You are a professional who moves fast to discover simpler ways to deliver results for our customers while adopting a deeply "Customer-Centric" mindset. WHY THIS ROLE? Impact: Own and manage the operational relationship with assigned clients, ensuring their applications scale to meet business needs. Growth: This "Journey-Level" position provides a clear path toward advanced project management by mastering "zero-surprise" reporting. Innovation: Work with bleeding-edge data warehouse technology in a truly disruptive software environment. WHAT YOU’LL DO: Project Governance: Maintain project documentation and track task effort in Smartsheet or Certinia. Work Structures: Create granular Work Breakdown Structures (WBS) and associate effort and resource naming to specific tasks. Meeting Leadership: Lead internal and client meetings with thorough documentation and rigorous follow-up. Conflict Management: Navigate internal resource conflicts effectively to keep projects on track. Success Metrics: Maintain project margins within +/- 5% of target and achieve CSAT scores great

S
1mo ago

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. Where Data Does More. Join the Snowflake team. Snowflake is seeking an entrepreneurial and visionary engineering leader to build and scale our new AI Solutions team. As the Director of Engineering for AI Enterprise , you will be at the forefront of the generative AI revolution, leading a world-class engineering organization that designs and implements cutting-edge solutions on the AI Data Cloud. This is a critical, high-impact leadership role where you will partner with the world's largest companies to solve their most complex challenges and unlock transformative business value using Snowflake's powerful Cortex AI Platform. IN THIS ROLE AT SNOWFLAKE, YOU WILL: Recruit, mentor, and scale a high-performing, global engineering organization. Foster a culture of innovation, ownership, and engineering excellence. Define the long-term technical vision and organizational structure for the AI Solutions team, ensuring alignment with Snowflake's product evolution and business goals. Lead the technical design and development of advanced AI and machine learning solutions using Snowflake Cortex and Snowflake ML. Own the end-to-end implementation of the AI Solutions product line, from initial concept to enterprise-grade production deployments. Act as the senior engineering authority in cu

machine learningaigo
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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. At the center of the data cloud is the Snowflake Database Engineering team. We are responsible for building the core query engine used to process the massive amounts of diverse data managed by our customers. A core part of the Database Engineering group is the Query Language team which is responsible for designing, developing, and maintaining core SQL features, including advanced analytics, scripting, and the developer experience. We are seeking a Senior Engineering Manager to own and drive the effort to build core database capabilities to serve agentic workloads. You'll set the technical direction, build and grow the team behind it, and shape how the core engine and the SQL language evolve to serve this new class of workload. It's a rare chance to lead a foundational bet at the exact moment the industry is racing to solve it, with the scale, customer base, and platform to make your work matter to millions of queries a day. If you want your fingerprints on how the world's data platforms adapt to the age of AI agents, this is one of the best seats in the industry. AS A SENIOR ENGINEERING MANAGER AT SNOWFLAKE, YOU WILL BE EXPECTED TO: Drive the evolution of core database and SQL capabilities to serve emerging AI and agentic workloads alongside traditional analytics Lead and g

PE
1mo ago

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. For over 180 years, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. The Senior Director, Data Advisory Services (DAS) plays a critical role within Advisory, partnering closely with the broader D&B Sales organization as well as the Analytics Advisory and Solution Architecture teams to demonstrate the value of D&B Data and Insights in solving complex business challenges for both existing clients and new logo prospects. The Senior Director, Data Advisory Services is deeply passionate about data and exemplifies Dun & Bradstreet’s core objectives: honoring the client, stewarding our data, protecting and growing the franchise, developing new insights, and investing in our people. With extensive experience leading enterprise‑scale data management initiatives, the DAS Leader focuses on coaching and mentoring Data Advisors to design, standardize, and scale high‑impact service blocks that clearly articulate and deliver the value of D&B data across diverse customer use cases. In close partnership with the Analytics Advisory Leader, this role helps shape a progressive consultative strategy that creates expansion opportunities for Advanced Analytics sales. The DAS Leader guides the team in building automated and agentic solutions to deliver Data Advisory Services at scale, including data stewardship, matching and identity strategies, hierarchy activation, evaluation of new data solutions, industry best‑practice development, and global data education initiatives. This role is responsible for driving consistency, quality, and repeat

aigorust
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PE
Private Employer
📍 Uttar Pradesh, India• Full-time
1mo ago

About Us Paytm is India’s leading payments Super App, offering consumers and merchants a wide range of financial services. A pioneer of the mobile QR payments revolution, Paytm’s mission is to bring half a billion Indians into the mainstream economy through technology-led financial inclusion. Paytm Money is the wealth-tech arm of Paytm, enabling users to invest in mutual funds, equities, and derivatives seamlessly. Owned by One97 Communications, founded by Vijay Shekhar Sharma, the company is headquartered in Noida and backed by leading global investors. Role Overview We are looking for a strategic, business-oriented, and AI-forward Analytics Leader to drive data-led and AI-powered decision-making for Paytm Money across equities, mutual funds, and derivatives. This role will define and lead the analytics vision across user growth, trading behavior, portfolio analytics, customer lifecycle, monetization, and product experience, while partnering closely with Product, Growth, Business, Risk, and Engineering teams to scale Paytm Money’s wealth platform. The ideal candidate will bring deep expertise in financial markets, broking platforms, and investment products, along with strong experience in building scalable analytics functions. In addition, this leader should have worked intensively on AI-led modeling, predictive decision systems, AI adoption across analytics workflows, and data models designed for advanced analytics and machine learning use cases. This is not just a reporting or dashboarding role. It is a leadership role focused on building a proactive, predictive, and AI-enabled analytics engine that helps the business make faster, sharper, and more scalable decisions. Key Responsibilities 1. Analytics Strategy, AI Vision & Business Impact · Define and own the analytics and decision intelligence roadmap aligned with Paytm Money’s growth, engagement, and revenue goals. · Translate business problems across acquisition, activation, trading behavior, retention,

pythonsqlgit
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PE
Private Employer
📍 Uttar Pradesh, India• Full-time
1mo ago

About Team : The Internal Audit team at Paytm comprises seasoned professionals with diverse skill sets and experience across different verticals like process audits, technology audits and forensics. The team focuses on implementing the approved audit plan, ensuring delivery of qualitative audits and conducting internal / special reviews while leveraging technology & data analytics and gauging key risks across business processes. Role Overview: The Assistant Manager (AM) is the engine room of the audit team. You will be on the ground, diving deep into data, testing controls, and identifying the "why" behind process gaps. This role is perfect for someone who loves detail and wants to understand the nuts and bolts of a digital economy. Key Responsibilities ● Execution: Conduct end-to-end audits of various functions (Operations, HR, Finance, or Tech) under the guidance of the Manager. ● Fieldwork: Perform walkthroughs, test of effectiveness ($ToE$), and document audit findings with clear "Cause and Effect" analysis. ● Cross-Functional Collaboration: Partner with cross-functional teams to gain deep insights into critical business processes, identify risks, and evaluate the adequacy of internal controls. ● Reporting: Prepare and present clear, concise audit reports to senior management and stakeholders, providing actionable recommendations to enhance controls and mitigate risks. ● Follow-ups: Track the implementation of previous audit recommendations to ensure business units are actually improving. ● Compliance: Ensure all audit activities align with the Internal Audit Manual and professional standards. Qualifications & Skills ● Experience: 2–6 years of post-qualification experience in Internal Audit. Experience in fintech, payments, banking, or NBFC preferred ● Education: Chartered Accountant (CA) / MBA. Certifications like CIA, CISA will be an added advantage. ● Technical Edge: Proficiency in MS Excel (Advanced), Powerpoint and fa

sqlgitai
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PE
1mo ago

About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the Team Paytm Ads is the digital advertising platform of Paytm, enabling brands to reach and engage with over 350M+ users across Paytm’s ecosystem of 200+ payment, commerce, and retail services—both online and offline. By leveraging transaction signals and behavioral insights, Paytm Ads enables advertisers to target highly relevant consumer cohorts and deliver performance-driven campaigns. About the Role We are looking for a Manager – Product Analytics to drive data-led decision making across the Paytm Ads platform. This role works closely with Product, Data Engineering, Sales, and Operations teams to analyze product performance, user behavior, and campaign outcomes, translating data into actionable insights that improve advertiser and platform performance. Key Responsibilities: ● Build and maintain automated dashboards and BI reports for key product and revenue metrics. ● Write advanced SQL queries to analyze large datasets and generate actionable insights. ● Analyze product usage, funnels, retention, and feature adoption to identify growth opportunities. ● Conduct A/B testing, cohort analysis, and segmentation to measure product and campaign impact. ● Track and optimize digital marketing performance metrics such as CAC, ROI, CTR, and conversions. ● Translate business/product questions into structured analysis recommendations for stakeholders. Qualifications: ● B.E./B.Tech from a reputed engineering institute ● Experience in Product Analytics, Management Consulting, Business Strategy, or Sales/Marketing Analytics roles. ● Strong SQL expertise for large-scale data analysis and reporting. ● E

sqlgitai
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About the Role : We are looking for a proactive and detail-oriented Sales Coordinator to support our Ad Sales team. This role involves coordinating with internal and external stakeholders to ensure seamless campaign execution, maintaining sales operations, and providing analytical support to drive client success. The ideal candidate should have strong coordination skills, be comfortable working with data, and possess excellent proficiency in Excel and PowerPoint. Key Responsibilities : Sales Coordination & Campaign Support Coordinate with the Ad Sales team, clients, and agencies to ensure smooth onboarding and campaign execution. Act as the primary liaison between Sales and cross-functional teams including Campaign Operations, Marketing, Finance, Legal, and Collections. Track campaign progress and ensure timely execution as per agreed timelines. Monitor campaign performance and share regular updates with internal stakeholders and clients. Escalate execution-related issues proactively to ensure timely resolution. Sales Operations & Reporting Support the Sales team by preparing reports, presentations, and campaign performance summaries. Maintain accurate sales records, campaign trackers, and MIS reports. Prepare post-campaign reports with key performance insights and data analysis. Coordinate with Finance teams for timely invoicing and campaign closure. Gather information from multiple stakeholders and consolidate reports for business reviews. Client & Stakeholder Management Coordinate with clients and agencies for campaign documentation and execution requirements. Address operational queries and ensure a seamless client experience. Support the Sales team during client pitches by preparing relevant data, reports, and presentations. Skills & Qualifications : Strong analytical and numerical aptitude. Excellent coordination and stakeholder management skills. Proficiency in Microsoft Excel (advanced functions, pivot tables, reporting) and PowerPoint. Strong communica

PE
1mo ago

Experience Level: 2–4 Years Location: Noida Department: Human Resources / Talent Acquisition Position Overview We are looking for a data-driven HR Analytics Specialist to join our Talent Acquisition (TA) team. In this role, you will bridge the gap between raw recruitment data and strategic decision-making. You will be responsible for building dynamic dashboards, tracking key recruitment metrics, and translating complex data into compelling stories for senior stakeholders.If you love diving into Excel, automating workflows with modern AI tools, and helping talent teams recruit smarter and faster, we want to hear from you! Key Responsibilities Data & Dashboard Management: Design, build, and maintain automated TA dashboards and trackers to monitor key metrics (e.g., Time-to-Hire, Cost-per-Hire, Source Effectiveness, Pipeline Velocity, and Offer Acceptance Rates). Process Automation: Actively identify manual bottlenecks in recruitment reporting and aggressively push for and implement automated solutions wherever required to drive team efficiency. Stakeholder Reporting: Prepare and deliver clear, high-impact presentations and reports for leadership and hiring managers to guide strategic hiring decisions. Predictive & Trend Analysis: Identify trends, bottlenecks, and opportunities within the recruitment funnel to optimize the candidate journey and recruiter productivity. Data Hygiene: Audit and maintain the integrity of recruitment data across our Applicant Tracking System (ATS) and internal databases. Tech Optimization: Leverage Excel and cutting-edge AI tools to automate repetitive reporting tasks, synthesize data summaries, and improve predictive analytics capability. Required Skills and Qualifications Experience: 2 to 4 years of experience in HR analytics, people analytics, or business intelligence (specifically supporting a Talent Acquisition or Recruitment function is a massive plus). Advanced Excel Skills: Mastery of advanced Excel functions is non-negotiable

pythonsqlai
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