Project Support Administrator Jobs

Do work that matters. At AlertMedia, we help organizations protect their people, operations, and brand. Our modern Risk Intelligence and Response platform empowers teams to detect emerging threats, assess impact, and respond with confidence. We believe building resilience should be simpler—and it starts with bringing critical information and workflows together in one unified platform. Our core values drive us in our important mission of keeping people safe & informed: We’re humans not robots Customers always come first We work better together Simplicity is our strength Our reputation is priceless Hard work pays off As one of the fastest-growing software companies in the country, AlertMedia is looking for a Sr. Software Engineer with full-stack experience. This role is on our AI Agent and Orchestration team, building the AI Assistant and Orchestration products and the agents and platform capabilities that power them. As an AI-forward company, we actively use modern AI tools such as Claude, Codex, and other emerging technologies to help our engineers work smarter, move faster, and build better products. Who you are: You thrive in a collaborative engineering environment that plays to everyone's strengths with a willingness to work across the entire stack. You’ve developed scalable production web applications in Python/Django/Next.js/React . You understand how LLM applications work — context, tool calling, evaluation, and the ways they fail. You care about the quality of your work, the impactful product you help build, and the team you help build it with. You have AWS (or other cloud) experience and are willing to learn from people with both more and less experience than you. You are a user of AI-assisted development tools that improve engineering workflows, code quality, and team productivity. What you get to do every day: Build and ship features

About the Role The Agents team investigates how to build, align, and scale frontier AI systems that can tackle complex, multi-step tasks and workflows across text and speech, with a particular focus on agentic and scientific domains. Our work sits at the intersection of agent capabilities, human-computer interaction, and infrastructure—from designing post-training methods for agentic behavior to developing evaluation frameworks for open-ended tasks where traditional metrics fall short. As a research intern, you will work on problems at the frontier of agentic AI, where challenges in alignment, reliability, and scalability are deeply intertwined. Projects may involve developing new training recipes for self-learning and long-horizon reasoning, curating datasets for non-deterministic scientific and agentic tasks, studying failure modes in agentic behavior, or building infrastructure that enables agent operations at scale. You'll operate in a space where algorithmic innovation, dataset and interaction design, and systems work come together to push the boundaries of what AI agents can reliably accomplish. Responsibilities Research and implement novel techniques in one or more of our focus areas Design and conduct rigorous experiments to validate hypotheses Document findings in scientific publications and blog posts Communicate the plans, progress, and results of projects to the broader team Requirements Currently pursuing a Ph.D. degree in Computer Science, Electrical Engineering, Information Science, or a related field Publications at leading ML, NLP, or speech conferences or journals (such as NeurIPS, ICML, ICLR, *ACL, EMNLP, Interspeech) Strong knowledge of Machine Learning and Deep Learning fundamentals Experience with deep learning frameworks (PyTorch, JAX, etc.) Understanding of how LLMs work Strong programming skills in Python Familiarity with Transformer architectures and recent developments in foundation models Example Research Directions Training, develo

About the Role The Agents team investigates how to build, align, and scale frontier AI systems that can tackle complex, multi-step tasks and workflows across text and speech, with a particular focus on agentic and scientific domains. Our work sits at the intersection of agent capabilities, human-computer interaction, and infrastructure—from designing post-training methods for agentic behavior to developing evaluation frameworks for open-ended tasks where traditional metrics fall short. As a research intern, you will work on problems at the frontier of agentic AI, where challenges in alignment, reliability, and scalability are deeply intertwined. Projects may involve developing new training recipes for self-learning and long-horizon reasoning, curating datasets for non-deterministic scientific and agentic tasks, studying failure modes in agentic behavior, or building infrastructure that enables agent operations at scale. You'll operate in a space where algorithmic innovation, dataset and interaction design, and systems work come together to push the boundaries of what AI agents can reliably accomplish. Responsibilities Research and implement novel techniques in one or more of our focus areas Design and conduct rigorous experiments to validate hypotheses Document findings in scientific publications and blog posts Communicate the plans, progress, and results of projects to the broader team Requirements Currently pursuing a Ph.D. degree in Computer Science, Electrical Engineering, Information Science, or a related field Publications at leading ML, NLP, or speech conferences or journals (such as NeurIPS, ICML, ICLR, *ACL, EMNLP, Interspeech) Strong knowledge of Machine Learning and Deep Learning fundamentals Experience with deep learning frameworks (PyTorch, JAX, etc.) Understanding of how LLMs work Strong programming skills in Python Familiarity with Transformer architectures and recent developments in foundation models Example Research Directions Training, develo

About The Role The Inference Research team is dedicated to building the next generation of efficient, scalable, and reliable serving systems for large foundation models, directly contributing to the mission of advancing open and transparent AI. Our work operates at the critical intersection of cutting-edge model architectures, high-performance systems engineering, and deep hardware optimization. We focus on co-designing software, algorithms, and models to significantly lower the cost and latency of modern AI systems. As a research intern, you will dive into the complexities of distributed inference, compiler-aware optimization, and novel inference-time computation strategies (such as speculative decoding and phase-aware execution). You will be tasked with co-designing and implementing cross-layer optimizations across models, systems, and hardware, with a focus on areas like KV cache design and large-scale serving architectures. Projects aim to unlock unprecedented performance and scale for foundation models, enabling faster serving, larger model deployment (e.g., Mixture-of-Experts), and robust, reproducible evaluation under realistic serving workloads. Responsibilities Design and conduct rigorous experiments to validate hypotheses Communicate the plans, progress, and results of projects to the broader team Document findings in scientific publications and blog posts Requirements Currently pursuing a final year of Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or a related field Strong knowledge of Machine Learning and Deep Learning fundamentals Experience with deep learning frameworks (PyTorch, JAX, etc.) Strong programming skills in Python Familiarity with Transformer architectures and recent developments in foundation models Preferred Qualifications Prior research experience in foundation models , efficient machine learning , or ML systems . Publications at leading conferences in machine learning or systems (i.e., ML

About The Role The Inference Research team is dedicated to building the next generation of efficient, scalable, and reliable serving systems for large foundation models, directly contributing to the mission of advancing open and transparent AI. Our work operates at the critical intersection of cutting-edge model architectures, high-performance systems engineering, and deep hardware optimization. We focus on co-designing software, algorithms, and models to significantly lower the cost and latency of modern AI systems. As a research intern, you will dive into the complexities of distributed inference, compiler-aware optimization, and novel inference-time computation strategies (such as speculative decoding and phase-aware execution). You will be tasked with co-designing and implementing cross-layer optimizations across models, systems, and hardware, with a focus on areas like KV cache design and large-scale serving architectures. Projects aim to unlock unprecedented performance and scale for foundation models, enabling faster serving, larger model deployment (e.g., Mixture-of-Experts), and robust, reproducible evaluation under realistic serving workloads. Responsibilities Design and conduct rigorous experiments to validate hypotheses Communicate the plans, progress, and results of projects to the broader team Document findings in scientific publications and blog posts Requirements Currently pursuing a final year of Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or a related field Strong knowledge of Machine Learning and Deep Learning fundamentals Experience with deep learning frameworks (PyTorch, JAX, etc.) Strong programming skills in Python Familiarity with Transformer architectures and recent developments in foundation models Preferred Qualifications Prior research experience in foundation models , efficient machine learning , or ML systems . Publications at leading conferences in machine learning or systems (i.e., ML

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. About the Team It’s an exciting time to join our rapidly growing Accounting team with ample development opportunities. We're growing the Revenue Data team with Engineering and Accounting Data openings to drive automation and systems infrastructure. All whilst while keeping pace within one of the fastest growing marketplace companies globally. About the Role The Engineer for Accounting Infrastructure and Systems designs, builds, and maintains the scalable backend services, data pipelines, and integrations that power DoorDash / Deliveroo's accounting, reconciliation, and financial reporting workflows. Working closely with Finance, Accounting, and fellow engineers, this role translates complex financial and regulatory requirements into reliable, automated systems that ensure accuracy, auditability, and compliance at scale. The ideal candidate brings strong distributed-systems and data engineering expertise along with a solid understanding of financial processes, and takes technical ownership of critical projects while mentoring junior engineers and helping shape the team's architecture and best practices. You're excited about this opportunity because you will… Take technical ownership of critical accounting infrastructure projects — designing and building the backend services, data pipelines, and integrations that power DoorDash's financial reporting, reconciliation, and close workflows at scale. Partner directly with Finance and Accounting stakeholders to translate complex financial and regulatory requirements into reliable, auditable, and automated systems. Shape the team's architecture and engineering best practices, mentoring junior engineers and raising the technica

Spotify is looking for a creative, strategic, and sharp editorial voice to join the US Podcast Editorial team. In this role, you'll lead high-visibility editorial projects end to end, partner cross-functionally as a creative and content expert, and shape how listeners discover and engage with podcasts and emerging formats on Spotify. The ideal candidate is a strong writer with a distinct editorial point of view who operates with independence and thrives at the intersection of creative judgment and platform strategy. This role reports into the Associate Director, Podcast Editorial & Audience Development. What You'll Do Drive and lead strategic editorial projects from brief through execution and results, including tentpole programming, format testing, and seasonal initiatives Write compelling editorial copy and commentary that brings Spotify's editorial voice to life across curated surfaces and promotional moments Partner cross-functionally as a creative and content expert across workstreams spanning product, personalization, and marketing Own curation of high-complexity or high-visibility editorial surfaces, maintaining quality, cultural relevance, and freshness Collaborate with Partnerships to develop strategies that grow creator audiences on platform Represent Editorial's perspective in cross-functional working groups and planning conversations Identify cultural moments, content trends, and audience opportunities that can be translated into compelling programming across audio and video formats Collaborate with data and analytics teams to inform editorial strategy and measure impact Who You Are 5+ years of experience in editorial, content strategy, or audience development within media, digital, or audio An exceptional writer and editor with a sharp voice and the ability to craft copy that resonates with diverse audiences A strong editorial point of view paired with

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: The Solutions Consultant Manager is the person who makes our GTM motion real on the ground. As an in-region leader directly managing a team of Solutions Consultants, you'll own your team's full commercial output—new logo, expansion, and renewals—and be accountable for both the results and the quality of execution that produces them. This isn't a traditional pipeline-management role. The best SC Managers are coaches first: they know what a great first meeting looks like, can watch a live build and tell a rep exactly what to change, and build the operating rhythm and inspection cadence that makes consistent execution possible across the team. If you're a builder who loves developing people as much as winning deals—and you want to lead a regional team in a go-to-market model that's genuinely new—this is the role. This role will be based in London, UK. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. What You'll Achieve: Own the commercial perfo

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Join Micron as a Senior Fire Protection Systems Engineer and work on challenging projects driving innovation in fire protection engineering. Your role will be pivotal in managing and accomplishing fire protection engineering projects on-site. You will ensure flawless construction quality, strict consistency to schedules, uncompromising safety standards, effective cost control, and successful implementation of acceptance procedures. Responsibilities Manage on-site construction based on fire protection drawings and technical specifications such as automatic sprinklers, fire alarms, fire compartmentation, and smoke exhaust systems. Supervise and coordinate subcontractor work quality and progress, ensuring compliance with builds and regulatory acceptance standards. Plan, complete, and track construction schedules, regularly reporting progress and cost performance. Coordinate interfaces among civil, electrical, plumbing, and fire protection trades, resolving conflicts and schedule disruptions. Handle fire protection submissions, functional tests, coordinated tests, and acceptance procedures, compiling related documentation. Requirements At least 2 years of experience in fire protection or MEP site management, including a minimum of 2 completed fire acceptance projects. Familiarity with fire protection submissions, functional and coordinated testing, and acceptance processes, alo

Do work that matters. At AlertMedia , we help organizations protect their people, operations, and brand. Our modern Risk Intelligence and Response platform empowers teams to detect emerging threats, assess impact, and respond with confidence. We believe building resilience should be simpler—and it starts with bringing critical information and workflows together in one unified platform. Our core values drive us in our important mission of keeping people safe & informed: We’re humans not robots Customers always come first We work better together Simplicity is our strength Our reputation is priceless Hard work pays off As one of the fastest-growing software companies in the country, AlertMedia is looking for a Sr. Software Engineer with full-stack experience. This role is on our Incident Response team. Customers use Incident Response during an active emergency — to declare an incident, assess who and what is affected, assign tasks, and coordinate the response across the organization. As an AI-forward company, we actively use modern AI tools such as Claude, Codex, and other emerging technologies to help our engineers work smarter, move faster, and build better products. Who you are: You thrive in a collaborative engineering environment that plays to everyone's strengths with a willingness to work across the entire stack. You've developed scalable production web applications in Python/Django/Next.js/React. You design for people operating under pressure, and you think as carefully about the failure paths as the happy path. You care about the quality of your work, the impactful product you help build, and the team you help build it with. You have AWS (or other cloud) experience and are willing to learn from people with both more and less experience than you. You are a user of AI-assisted development tools that improve engineering workflows, code quality, and team productivity. What you

Do work that matters. At AlertMedia , we help organizations protect their people, operations, and brand. Our modern Risk Intelligence and Response platform empowers teams to detect emerging threats, assess impact, and respond with confidence. We believe building resilience should be simpler—and it starts with bringing critical information and workflows together in one unified platform. Our core values drive us in our important mission of keeping people safe & informed: We’re humans not robots Customers always come first We work better together Simplicity is our strength Our reputation is priceless Hard work pays off As one of the fastest-growing software companies in the country, AlertMedia is looking for a Software Engineer II with full-stack experience. This role is on our Incident Response team. Customers use Incident Response during an active emergency — to declare an incident, assess who and what is affected, assign tasks, and coordinate the response across the organization. As an AI-forward company, we actively use modern AI tools such as Claude, Codex, and other emerging technologies to help our engineers work smarter, move faster, and build better products. Who you are: You thrive in a collaborative engineering environment that plays to everyone's strengths with a willingness to work across the entire stack. You design for people operating under pressure, and you think as carefully about the failure paths as the happy path. Ideally, you have JavaScript and Python experience (similar languages are great, as long as, you're willing to learn) but more importantly, you care about the quality of your work, the impactful product you help build, and the team you help build it with. You have AWS experience and are willing to learn from people with both more and less experience than you. What you will do: Design and d

Do work that matters. At AlertMedia, we help organizations protect their people, operations, and brand. Our modern Risk Intelligence and Response platform empowers teams to detect emerging threats, assess impact, and respond with confidence. We believe building resilience should be simpler—and it starts with bringing critical information and workflows together in one unified platform. Our core values drive us in our important mission of keeping people safe & informed: We’re humans not robots Customers always come first We work better together Simplicity is our strength Our reputation is priceless Hard work pays off As one of the fastest-growing software companies in the country, AlertMedia is looking for a Sr. Software Engineer with full-stack experience. This role is on our AI Agent and Orchestration team, building the AI Assistant and Orchestration products and the agents and platform capabilities that power them. As an AI-forward company, we actively use modern AI tools such as Claude, Codex, and other emerging technologies to help our engineers work smarter, move faster, and build better products. Who you are: You thrive in a collaborative engineering environment that plays to everyone's strengths with a willingness to work across the entire stack. You’ve developed scalable production web applications in Python/Django/Next.js/React . You understand how LLM applications work — context, tool calling, evaluation, and the ways they fail. You care about the quality of your work, the impactful product you help build, and the team you help build it with. You have AWS (or other cloud) experience and are willing to learn from people with both more and less experience than you. You are a user of AI-assisted development tools that improve engineering workflows, code quality, and team productivity. What you get to do every day: Build and ship features

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: This role will be based in San Francisco. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. You’ll build the systems that let any knowledge worker leverage fast, scalable databases without having to become a DBA. You’ll be a hands-on technical leader, helping set the architectural direction and roadmap as we take a new product from early alpha to general availability. You’ll work directly with early customers to shape foundational technical and product decisions. Then, together, we’ll work on scaling as adoption and workloads grow. This is a backend-leaning role with work spanning the stack. You might build the systems that provision and manage a fleet of customer Postgres instances, design how user-defined schemas evolve safely, or make complex queries execute efficiently. You’ll also follow those systems into the product: improving how a table loads, how users understand a slow operation, or how an agent safely works with their data. You’ll

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 This is an opportunity to serve as a key partner and advisor on Notion’s Business Operations team, working primarily with our Engineering, Product, & Design teams. Business Operations is a cross-functional team that partners with senior leaders across the company, focusing on high-impact strategic projects and analysis. In this role, you’ll work hand-in-hand with leadership to identify, structure, and act on the most challenging strategic and operational questions impacting our business. This role is based in San Francisco, CA. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. What You'll Achieve Build trusted relationships with cross-functional leaders to define and implement strategy across all Notion products, driving increased value to our users and our business Structure complex, ambiguous strategic problems for the Notion leadership team, defining clear hypotheses and building detailed business cases and quantitative models that will

The Regional Sales and Marketing Head is responsible for leading the sales and marketing function for the assigned region, ensuring revenue generation and brand positioning across residential and commercial projects. This role involves strategic planning, sales execution, team alignment, and delivering measurable results in line with business objectives. The role will also oversee marketing initiatives, customer engagement strategies, and loyalty portfolio management, ensuring top-line and bottom-line achievements. Source: Adani Group | Job ID: 56798