Aws Specialist Seller Jobs

Join us as a Commercial Growth Associate Account Executive! In this entry-level role, you'll manage the complete sales process and drive revenue growth in your assigned region. We're looking for a dedicated and motivated individual with a sales strategy and a go-getter attitude. Hard work, enthusiasm, and initiative are highly valued. We are looking to speak to candidates who are based in Austin, TX for our hybrid working model. MongoDB’s Sales Culture MongoDB is always developing and innovating — not only in our technology but also in our sales go-to-market strategy. Our sales leadership is committed to building the best salesforce in technology. This means, inspiring and enabling success for everyone on the team. We equip you to be successful and close deals, and we want your feedback and input on how we can continue to “ Think Big and Go Far .” As a crucial part of the Sales team at MongoDB, you will have access to a lucrative market and learn how to sell from some of the most successful sales leaders in the software industry. What you will be doing Manage a book of business of several million dollars, responsible for growth and retention of high value accounts Proactively, identify, qualify, and close a sales pipeline Strategically prospect into CTOs, Engineering/IT Leaders, & developers Become a product expert and understand all components of MongoDB Manage your time efficiently Build strong and effective relationships, resulting in growth opportunities Partner with our Solution Architects and work closely with the Professional Services team to achieve customer satisfaction Participate in our sales enablement trainings, including our comprehensive Sales Bootcamp, sophisticated sales training, and leadership and development programs What you bring to the table 1-2 years of field experience in quota-carrying experience in a fast-paced and competitive market Demonstrated ability to open new accounts and generate qualified pipeline A proven tr

The Technical Services Partner Support team works closely with MongoDB partners to help ensure our mutual customer environments are healthy, stable, and successful on the MongoDB data platform. This team serves as a critical extension of Technical Services, helping partners navigate complex technical issues, accelerate resolution paths, and deliver a consistently strong support experience. We are looking for a Manager, Technical Services Partner Support to lead a team of highly skilled technical services engineers responsible for managing partner-facing technical cases and escalations. This leader will coach and grow the team, ensure excellent operational execution, and strengthen collaboration across Technical Services, Support Delivery, Product, Engineering, Customer Success, and Partner teams. This role is ideal for a people leader who is passionate about customer outcomes, calm execution during escalations, and building scalable support practices for a fast-growing partner ecosystem. Sufficient experience leading technical teams and functions will be considered in lieu of prior people management experience. We are looking to speak to candidates who are based in Austin, TX for our hybrid working model. Responsibilities Lead and develop a high-performing team: Manage daily operations, staffing, hiring, mentoring, and performance while fostering a culture of technical rigor, accountability, and empathy Oversee partner support and escalations: Drive operational excellence in triage and resolution for complex, high-priority partner issues, coordinating cross-functionally across Engineering, Product, and Customer Success Optimize processes and scale operations: Drive continuous improvement by identifying process gaps, refining workflows, and leveraging metrics to enhance resolution quality and partner satisfaction Collaborate and advocate: Partner with global leadership to ensure consistent, follow-the-sun service delivery and represent the team’s interests in cross-f

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. We are hiring a Machine Learning Engineer to join our ETA team. Our team builds and maintains Lyft's system responsible for estimating/predicting ETAs for every ride request on our platform. ETAs play a critical role in matching decisions, pricing estimates and overall user experience. Low latency, high reliability and high accuracy are paramount for our success. If you are a critical thinker with experience in machine learning workflows and writing reliable code, passionate about solving business problems using data and working in a dynamic, creative, and collaborative environment, we are searching for you. Our technology stack runs on AWS, Kubernetes, Go, Spark, Python and Apache Airflow. In this role, you will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on building rideshare experiences that delight millions of riders and drivers. Responsibilities: Perform data analysis and build proof-of-concept to explore and compare ML and non-ML solutions Be able to make effective tradeoffs between model accuracy, its productization complexity and runtime performance Develop statistical, machine learning, or optimization models Write production quality code that can scale well to serve millions of requests per day Participate in code reviews, design reviews, production on-call support and incident triaging process. Write well-crafted, well-tested, readable, maintainable code Experience: B.S., M.S., or Ph.D. in Computer Science or other quantitative fields or related work experience 3+ years of Machine Learning experience Nice-to-have: Experience with big data processing / distributed data pipelines and tools such as Apache Airflow and Spark Ability to work in distributed teams spread across time zones. (North America and

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. The Technology, Data & Intelligence Team Okta’s Technology, Data & Intelligence (TDI) team delivers the systems, tools, and services that power internal operations across the company. From core infrastructure to enterprise platforms, we partner across functions to drive scale, reliability, and innovation through technology. The Staff Site Reliability Engineer Opportunity Okta Federal, Inc. is looking for an experienced Staff TDI Site Reliability Engineer to help build, improve, and maintain our cloud platform services that help Okta support the most sensitive national security missions. The Site Reliability Engineering team delivers foundational infrastructure capabilities that enable corporate engineering teams to operate securely, reliably, and at scale. You’ll play a key role in designing and implementing complex cloud-based engineering enablement systems, while ensuring compliance with strict government requirements. What you’ll be doing Operate and maintain enterprise grade solutions within air-gapped environments. Build, run, and monitor development tools, pipelines, and infrastructure with a security-first mindset. Operate autonomously within secure facilities. Maintain SLOs/SLIs for workloads with no dependency on external monitoring or SaaS tooling. Own runbooks and incident response procedures tailored to limited external escalation paths. Participate in POA&M remediation and support annual/recurring Authority to Oper

MongoDB is seeking a Senior Manager, Financial Planning and Analysis (FP&A) to help build our global Corporate FP&A team. We’re looking for a Senior Manager who will work closely with senior finance leadership and play a critical role in shaping and managing the global forecasting and planning process. You communicate clearly and are able to successfully juggle multiple priorities. You are a driven self-starter who is able to work with senior leadership comfortably, takes tasks from start to finish and someone who enjoys working in a fast-paced, challenging environment. You are responsive and adapt quickly to change, embrace challenges and champion the advancement of analyses, financial planning tools, systems, and controls. The working model for this role is flexible. We are open to fully remote or hybrid in-office/remote in our Dublin offices. Responsibilities: Planning Systems & Financial Models: You’ll build stuff. Partner with the IT, People, & Finance teams to help modernize/automate our forecasting and planning tools. We’re on a multi-year journey to improve our financial systems and you’ll play a key role in defining requirements and implementing solutions for FP&A, while improving our recent migration to the Pigment financial planning system AI Automation: You’ll supercharge and standardize how we’re using AI across the FP&A team Forecast Coordination & Consolidations: You’ll bring order to a fast-moving planning ecosystem. Manage the company’s planning process/calendar and corporate-level forecast consolidation. This includes owning the planning calendar, and clearly communicating timelines, deliverables, and expectations with all planning stakeholders. You’ll also own the forecast reconciliation process to have a pulse on how the business is performing Management Reporting: You’ll tell stories (financial ones). Develop reporting to summarize data and facilitate decision-making for senior management including the CEO, CFO,

MongoDB is seeking a Senior Manager, Financial Planning and Analysis (FP&A) to help build our global Corporate FP&A team. We’re looking for a Senior Manager who will work closely with senior finance leadership and play a critical role in shaping and managing the global forecasting and planning process. You communicate clearly and are able to successfully juggle multiple priorities. You are a driven self-starter who is able to work with senior leadership comfortably, takes tasks from start to finish and someone who enjoys working in a fast-paced, challenging environment. You are responsive and adapt quickly to change, embrace challenges and champion the advancement of analyses, financial planning tools, systems, and controls. The working model for this role is flexible. We are open to fully remote or hybrid in-office/remote in our New York City or Austin offices. Responsibilities: Planning Systems & Financial Models: You’ll build stuff. Partner with the IT, People, & Finance teams to help modernize/automate our forecasting and planning tools. We’re on a multi-year journey to improve our financial systems and you’ll play a key role in defining requirements and implementing solutions for FP&A, while improving our recent migration to the Pigment financial planning system AI Automation: You’ll supercharge and standardize how we’re using AI across the FP&A team Forecast Coordination & Consolidations: You’ll bring order to a fast-moving planning ecosystem. Manage the company’s planning process/calendar and corporate-level forecast consolidation. This includes owning the planning calendar, and clearly communicating timelines, deliverables, and expectations with all planning stakeholders. You’ll also own the forecast reconciliation process to have a pulse on how the business is performing Management Reporting: You’ll tell stories (financial ones). Develop reporting to summarize data and facilitate decision-making for senior management includ

Consumer Operations, Program Manager - Stripe, LLC - New York, NY Who we are About Stripe Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. What you’ll do Responsibilities Lead or collaborate with cross-functional teams, including Product, Engineering, Legal, Compliance, Support, Operations Technology, and Vendor Management, to define operational requirements for new Link/Crypto onramp products, features, and experiments. Partner with Product and Engineering teams to design and implement the infrastructure and tools needed to support operational workflows. Represent the interests of users in product development discussions and advocate for solutions that improve the consumer experience. Develop customer support strategies and implement tools to enhance self-service options for users. Ensure operational processes and product features comply with applicable local laws, regulations, and consumer protection requirements. Monitor and analyze operational metrics, driving continuous improvements to meet key performance objectives, such as consumer satisfaction, contact rate, and service-level agreements (SLAs). Who you are Minimum requirements Must have a Bachelor's degree or foreign equivalent in Business, Management, Economics or a related field, plus 5 years of post bachelor's progressive experience in Operations. Must also have each of the following: 5 years experience pulling data, creating queries and analyzing large datasets using SQL. 4 years experience leading end-to-end execution

Machine Learning Engineer – (Computer Vision) We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Experience: 5+ years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like A

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Role: As a Senior Value Engineer, you are spearheading our mission of solving critical operational challenges for enterprise customers. You will be working with strategic clients to understand their unique objectives, from modernizing legacy systems to optimizing finance processes and deploying an agentic business. In partnership with the Celonis Sales Teams, you have full responsibility for the end-to-end value journey of our customers. You are our customers' trusted advisor and help them drive adoption and realize measurable business value using Celonis. You can expect to blend process and industry expertise with a solution-first mindset, analyzing customer data and deploying tactical solutions. By using the Celonis Process Intelligence platform to feed critical operational context to AI and LLM tools, you will help our customers move past simple automation to deploy intelligent, autonomous agents that solve complex business bottlenecks. You’re the Celonis expert, connecting the dots between their pain points and how our platform can solve the problem. You’d be managing weekly cadences, QBRs, and value plans to demonstrate the value of our solutions to VP+ level executives. Key Responsibilities: Pre- and Post-Sales Execution:

Machine Learning Engineer IV – (Computer Vision) We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Strong industry experience in Machine Learning, dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native: Hands-on exper

Machine Learning Engineer We’re looking for a Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Experience: Multiple years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native:

Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta’ s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values . This position is based out of our India Development Center in Hyderabad. Who we are looking for Join Truveta’s Intelligence Platform and Applications (IPA) team to build the next wave of healthcare AI — developing adaptive agentic systems and fine-tuned foundation models that continuously learn, reason, and accelerate real-world impact. Guided by Truveta’s mission of Saving Lives with Data, you’ll help transform how health data becomes intelligence, powering breakthroughs that enable researchers, clinicians and operational managers to make data-driven, proactive, and impactful decisions. We firmly believe that patients, doctors, and medical researchers deserve to benefit from the artificial intelligence revolution that is transforming productivity, creativity, and communication. You’ll help shape the AI capabilities that make healthcare more intelligent, efficient, and equitable — driving real-world impact across research, care delivery, and patient outcomes. If you’re seeking a sense of purpose and are motivated to advance how AI supports learning, decision-making, and discovery in healthcare, you’ll find this an inspiring place to grow. We are seeking AI Engineers who thrive at the intersection of agentic and applied AI, machine learning, and large-scale engineering. You’ll blend ML craftsmanship with platform engineering excellence to create scalable, self-improving AI agents and models that learn from vast, diverse healthcare data and deliver meaningful insights through

About the role We’re looking for a hardworking, driven individual with superb energy, passion and initiative for growing business within existing accounts. The (Senior) Enterprise Account Executive role focuses exclusively on formulating and executing a sales strategy within an assigned territory, resulting in revenue growth. We are looking to speak to candidates who are based in Singapore for our hybrid working model. What you will be doing Proactively, identify, qualify and close a sales pipeline Own and drive business within the Thailand market Strategically prospect into CTOs, Engineering/IT Leaders, & technical end users Build strong and effective relationships, resulting in growth opportunities Partner with our Solution Architects and work closely with the Professional Services and Customer Success team to achieve customer satisfaction Work closely with the enterprise ecosystem partner sales and channel partner to maximize deal sizes Participate in our sales enablement trainings, including our comprehensive Sales Bootcamp, sophisticated sales training, and leadership and development programs What you bring to the table 10+ years field experience of quota-carrying experience in a fast-paced and competitive market with a focus on expanding new accounts Deep domain expertise and a robust network within the Thailand (Banking & FSI sector preferred) Demonstrated ability to sell into new lines of business within open accounts and run a complex sales process A proven track record of overachievement and hitting sales targets Ability to articulate the business value of complex enterprise technology Skilled in building business champions Thai native and fluent in English Ability to attend the office 3 days per week Driven and competitive. Possess a strong desire to be successful Previous Sales Methodology training (e.g. MEDDIC, SPIN, Challenger Sales) Familiarity with databases, develops and open source technology a plus Things we love Passionate abo

The Relationship Account Management (RAM) team is focused on driving long-term partnerships with MongoDB’s mature customers, creating expansion & evangelism in the process. This team was established ~2 years ago and continues to grow and scale with our expansion to APAC. We are looking for someone who can thrive with a high level of ambiguity and change while maintaining a customer centric approach at scale for our customers across Asia Pacific. Individuals within RAM org have a passion for technology that delivers business outcomes and understand how to retain and grow clients through a focus on their success. In this role you will act as the primary point of contact for your customer base and leverage the MongoDB ecosystem to help drive expansion and retention of a customer portfolio. As a RAM you will be responsible for success, education, enablement, upsell/cross-sell, renewal and everything in between. We are looking to speak to candidates who are based in Singapore (without visa sponsorship) for our hybrid working model. This is not a remote role. Experience 2+ years of quota- carrying Account Management or New Business sales experience; SaaS or technology background; demonstrated ability and interest in managing client relationships end-to-end; has held responsibility for clients with complex use cases and multiple stakeholders across renewal, upsell and expansion into new business units; excels at juggling competing priorities while executing on targets and KPIs Our ideal candidate will have 5+ years of professional experience, including 2+ years in a quota-carrying Sales or Account Management role with direct revenue responsibility Proven success managing customer relationships across

We’re looking for a hardworking, driven individual with superb energy, passion and initiative for growing business within existing accounts. The Enterprise Account Executive role focuses exclusively on formulating and executing a sales strategy within an assigned territory, resulting in revenue growth. We are looking to speak to candidates who are based in Melbourne or Auckland for our Remote working model. What you will be doing Proactively, identify, qualify and close a sales pipeline Strategically prospect into CTOs, Engineering/IT Leaders, & technical end users Build strong and effective relationships, resulting in growth opportunities Partner with our Solution Architects and work closely with the Professional Services and Customer Success team to achieve customer satisfaction Work closely with the enterprise ecosystem partner sales and channel partner to maximize deal sizes Participate in our sales enablement trainings, including our comprehensive Sales Bootcamp, sophisticated sales training, and leadership and development programs What you bring to the table 8+ years field experience of quota-carrying experience in a fast-paced and competitive market with a focus on expanding new accounts Demonstrated ability to sell into new lines of business within open accounts and run a complex sales process A proven track record of overachievement and hitting sales targets Ability to articulate the business value of complex enterprise technology Skilled in building business champions Fluent in English Ability to attend the office 3 days per week Driven and competitive. Possess a strong desire to be successful Previous Sales Methodology training (e.g. MEDDIC, SPIN, Challenger Sales) Familiarity with databases, develops and open source technology a plus Why join now MongoDB invests a HUGE amount of development into each of our new hires & continuous career development Accelerators up to 30% Best in breed Sales trainings in MEDDIC and Command of the Message, includin