Ai Research Scientist Computer Vision in New York

About the Team The Product Policy team is responsible for the development, implementation, enforcement, and communication of the policies that govern use of OpenAI’s services, including ChatGPT, GPTs, the GPT Store, Codex, and the OpenAI API. About the Role We are looking for a Research and Advisory Partnerships Lead to build and manage the relationships, partnerships, and advisory structures that bring independent external expertise into our product and policy decisions. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will identify and engage researchers, civil society organizations, subject-matter experts, and other external stakeholders whose perspectives can strengthen how we develop and deploy AI. You will establish and manage advisory councils, develop research partnerships with the academic community, and work closely with internal teams to translate external insights into actionable guidance. This role sits at the intersection of product, policy, research, and governance. It is well suited to someone who is comfortable building relationships across disciplines and designing processes that ensure outside expertise meaningfully informs internal decision-making. This role can be based in San Francisco or New York City. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Develop, launch, and manage external advisory councils and other governance mechanisms that provide structured input on product and product policy. Build and maintain relationships with external experts, researchers, civil society organizations, and other stakeholders who can inform high-priority product and product policy decisions. Identify when external consultation can improve internal decision-making, and develop engagement strategies tailored to specific products, policy questions, and emer

Datadog is expanding the Technical Solutions (TS) organization by seeking a customer-focused, deeply technical Distinguished Architect to join our Product Solutions Architecture (PSA) team. In this role, you will act as a technical multiplier for the world's leading AI labs and AI-native companies. You will bridge the gap between their bleeding-edge infrastructure aspirations and Datadog’s technology roadmap, ensuring our platform natively solves the unique observability challenges of training and deploying foundational models at scale. 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: Leadership : Demonstrate thought leadership in the AI/LLM space. Influence key decision makers and stakeholders by connecting technical capabilities to organizational and business impact. Advisory : Strategically partner with highly technical Founders, Heads of Infrastructure, and Research Lead peers. Guide them on best practices and emerging industry trends in the AI/LLM space. Lead high-level technical and architectural conversations around AI adoption. Presentations : Lead deep-dive architecture reviews and design engagements with customer teams and their leaders to share industry trends, best practices, and demonstrate how Datadog can support high-throughput hyper scale AI workloads. GTM : Identify emerging AI-native technology shifts and feed them directly back to Datadog Product Management. Co-create custom observability integrations and solutions alongside Product SAs to keep Datadog at the absolute forefront of the AI stack. Collaboration : Collaborate with Product Solutions Architecture (PSA), Sales, Sales Engineering and Marketing in providing high-quality technical resources to a broad audience of practitioners and economic buyers. Hiring : Assis

About the Team The AI Architect team partners with organizations to turn OpenAI's most capable models into meaningful, real-world impact. We work with customers across industries and digital-native businesses to identify where AI can create value, design secure and scalable solutions, and help those solutions move from early exploration into sustained production adoption. The team brings together technical strategy, customer partnership, and practical deployment expertise, working closely with Sales, Product, Engineering, Research, and specialist delivery teams. About the Role As an AI Architect, you will be the senior technical owner for a named portfolio of customers and the primary technical counterpart to their leadership teams. You will act as the “CTO of your book of business”, shaping each customer's AI strategy and guiding their journey from pre-sales discovery and solution evaluation through deployment, adoption, and measurable business impact. You will own the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex, and other agentic AI solutions. In partnership with the Account Director, you will translate business priorities into a focused use-case portfolio, an actionable adoption roadmap, and a clear path to durable customer value and growth. The Account Director owns commercial strategy; you own the technical strategy, customer journey, and path to production value. You will remain accountable for the technical outcome while bringing in the right specialists across deployment, implementation, enablement, security, product, and partners to provide deeper expertise and execute work where needed. This role calls for strong industry fluency, sound architectural judgment, and the ability to move confidently between executive strategy and hands-on technical conversations. In this role, you will: Serve as the primary technical advisor and long-term technical relationship owner for a named portfolio of existing customers and pre-sales prospect

About the team The Applied AI Engineer, Digital Natives team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of frontier AI use cases for their industry and drive them to production through strong technical guidance. As an Applied AI Engineer in the Digital Native segment, you’ll help large and highly sophisticated companies transform their business through custom AI solutions applications such as customer service, automated content generation, contextual search, personalization, and other novel use cases leveraging OpenAI’s newest, most exciting models and latest capabilities. About the role We are looking for a driven solutions leader with a product mindset to partner with our customers and ensure they achieve tangible business value with frontier AI. You will pair with senior customer leaders to establish AI strategic roadmaps and identify the highest value applications. You’ll then partner with their engineering and product teams to move from prototype through production. You’ll take a holistic view of their needs and design an enterprise architecture using OpenAI APIs and other services to maximize customer value. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product. This role is based in our NYC office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Deeply embedded with our most sophisticated and technical platform customers, serving as their technical thought partner in ideating and building novel applications on our APIs. Proactively provide guidance to our customers on how to maximize business impact from their applications, accelerating their time to value. Experiment and prototype solutions with and for your customers. Forge and manage relationships wi

Datadog is seeking a Director of Product Management to lead our AI Observability portfolio and shape how organizations build, monitor, and scale AI systems in production. This role leads LLM Observability and helps define the next wave of innovation across GPU Monitoring, Distributed AI Monitoring, and emerging research-oriented tooling such as Model Lab. You will set the vision and strategy for this rapidly growing area, expanding established products while incubating new capabilities that deliver deep visibility into AI infrastructure, model performance, and distributed AI environments. As AI becomes core to modern applications, this team plays a critical role in ensuring customers can deploy and scale AI with confidence. We’re looking for a builder-minded product leader with strong technical depth and hands-on curiosity - someone who has built or worked closely with AI-powered products and understands the realities of production AI. You will lead a team of product managers and partner closely with engineering and design to advance Datadog’s leadership in AI observability. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Own the vision and strategy for AI-driven products, ensuring alignment with overall company goals and customer needs. This will include managing our embed program to enhance the capabilities of existing products as well as developing dedicated and independent AI products. Lead and mentor a team of product managers, helping them grow and advance their careers while ensuring the delivery of high-quality, AI-powered features. Collaborate with cross-functional teams including engineering, data science, marketing, and sales to deliver AI product solutions that meet customer needs and business objectives. Identify new opportunities for

About the Team The Technical Success team helps OpenAI’s customers realize meaningful and sustained value from our technology. We partner with customers throughout their journey—from initial exploration and solution design to production implementation and organization-wide adoption. Applied AI Engineers serve as trusted technical partners to customer executives, engineering teams, product leaders, security organizations, and transformation teams. They combine deep technical judgment with strong customer instincts, translating frontier AI capabilities into secure, reliable systems and durable business outcomes. About the Role We are seeking a Manager to build, lead, and develop a high-performing team of Applied AI Engineers supporting our enterprise customers. You will be accountable for the technical success of a broad and strategically important customer portfolio. You will help your team identify high-value opportunities, design and deploy production-grade AI systems, navigate complex technical and organizational constraints, and expand successful implementations across workflows, teams, and business units. This role requires technical depth, people leadership, customer judgment, and operational rigor. You should be comfortable coaching engineers through architecture and evaluation decisions, engaging directly in high-stakes customer situations, and collaborating with Sales, Solutions Engineering, Product, Research, Engineering, Security, and Legal. You will also help define how we serve enterprise customers at scale by developing effective coverage models, reusable implementation patterns, technical enablement, escalation mechanisms, and systems for turning field insights into high-quality product feedback. In This Role, You Will Build, manage, and develop a high-performing team of Applied AI Engineers supporting large and complex enterprise customers. Own the quality and impact of the team’s work across solution design, implementation, production readiness, adop

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: We’re seeking an experienced User Researcher to shape growth-related product decisions by delivering insights that fuel AI experiences. This role blends traditional growth research, such as adoption, monetization, and pricing and packaging, with fast-evolving AI features like Notion Agent and Chat that permeate experiences like onboarding and Workspace creation. It requires a unique mix of user research expertise, strategic foresight, and technical fluency in AI and AI product development. This role can be based in either San Francisco or New York City. 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: Design and execute studies that evaluate how people experience Notion with AI in the loop, including how users discover, trust, and get value from AI, and identify barriers to adoption and willingness to pay. Run mixed-methods research (qual + quant), including interviews, concept testing, prototype/usability testing, diary

About the team OpenAI’s Forward Deployed Engineering (FDE) team turns research breakthroughs into production-grade systems. We embed deeply with customers to solve high-leverage problems and act as the delivery engine for our most complex large-scale engagements. We move quickly from prototype to production and surface reusable patterns that shape our platform. We operate at the intersection of deployment and development – working closely with OpenAI Research, Product and Partnerships. About the Role As a Technical Deployment Lead (TDL), you will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. You will own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace. This role is based in NYC. We use a hy

As a leading biopharmaceutical company, Pfizer is dedicated to the discovery and delivery of high value therapies across a variety of disease areas. It is our mission to bring innovative medicines to patients that significantly improve their lives, and our priority is to ensure patients have access to these medicines. The Health Technology Assessment (HTA), Value & Evidence (HV&E) team is responsible for ensuring patients have affordable, timely access to medicines and vaccines by advancing innovative value and evidence solutions to inform healthcare decision-making. ROLE SUMMARY The HTA, Value & Evidence Senior Manager is responsible for development and execution of high-quality HV&E strategic efforts to support optimal access and reimbursement for treatments in Oncology. This role directly impacts the ability to achieve business objectives on a global basis by providing strategic guidance and robust evidence development relevant to achieve optimal global patient access by demonstrating the value of Oncology medicines. This position will be part of Pfizer’s dynamic HTA Value & Evidence team and will have the important role of managing health economics and outcomes research (HEOR) to generate data to support patient access to the GU Cancer Portfolio. This position will be working closely with the Oncology cross-functional teams (e.g., access, medical, clinical, commercial, etc.) and country teams to foster a culture that promotes innovation and thrives on doing better for Pfizer’s patients and society in general. This position will function in a closely aligned fashion with the Global Access Strategy and Pricing (GASP) team to ensure there is a single and coordinated view on strategy and project execution. This position will function with a ‘OnePfizer’ mindset and will work in a closely ali

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the Role You will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. You will focus on the Financial Services vertical, partnering with banks, asset managers, and private capital investors to deploy next-generation AI capabilities across their operations, investment processes, and portfolio companies. You will own delivery end-to-end: embedding with Financial Services customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace. This role is based in New York City. We use a hybrid work model of 3 days in the office per w

About Us: YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments. Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers—ranging from the world’s top investment funds to Fortune 500 companies—depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence. We operate globally with offices in the US, APAC, and India. Our award-winning, people-centric culture—recognized by Inc. as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery. What It’s Like to Work at YipitData: YipitData isn’t a place for coasting—it’s a launchpad for ambitious, impact-driven professionals. From day one, you’ll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers. Why Top Talent Chooses YipitData: Ownership That Matters : You’ll lead high-impact projects with real business outcomes Rapid Growth : We compress years of learning into months Merit Over Titles : Trust and responsibility are earned through execution, not tenure Velocity with Purpose: We move fast, support each other, and aim high—always with purpose and intention If your ambition is matched by your work ethic—and you're hungry for a place where growth, impact, and ownership are the norm—YipitData might be the opportunity you’ve been waiting for. About Our Private Investor Business: YipitData has an opportunity to revolutionize the private investor market by providing something that has neve

Overview: The Insights product is a new offering for existing Guidepoint clients that offers teleconferences, in-person events and a call transcript library covering a wide of industries/topics that facilitate investment research. All content features experts from Guidepoint’s proprietary global network and is developed by former investment professionals (i.e. private equity/hedge fund) and sell-side equity research analysts. What You'll Do: Monitor a coverage universe of public companies within the technology sector by tracking earnings releases, investor presentations, SEC filings, sell-side research and industry news Create and moderate teleconferences on timely topics featuring an expert from Guidepoint’s network with the goal of producing actionable insights for clients Review teleconference transcripts to ensure quality of content High performers will be considered for full-time employment What You Have: Bachelor’s degree or Master’s degree Minimum 10 years of sell-side or buy-side analyst experience Must follow bottoms-up, fundamental approach to investment research focusing on individual companies Has covered Technology sector (Enterprise Software/SaaS, Internet (FANG etc) and/or Hardware/Semiconductors); candidates must be current on company/industry knowledge Ability to work in a fast-paced entrepreneurial environment Outgoing personality with the ability to speak with people at all professional levels Intellectual curiosity and desire to learn Effective time management and organizational skills Demonstrated ability to work both individually and as part of a team What We Offer: This is a full-time consultant role with the potential to convert to full time. The expected annual salary is $210,000 - $240,000. This rate may vary depending on job-related knowledge, skills, and experience, as well as geographic location. You will also be eligible for the following benefits: Friday happy hour, “Summer Fridays”, and free snacks and bevera

OVERVIEW: The Insights product is a new offering for existing Guidepoint clients that offers teleconferences, in-person events and a call transcript library covering a wide of industries/topics that facilitate investment research. All content features experts from Guidepoint’s proprietary global network and is developed by former investment professionals (i.e. private equity/hedge fund) and sell-side equity research analysts. WHAT YOU’LL DO: Monitor a coverage universe of public companies within a sector by tracking earnings releases, investor presentations, SEC filings, sell-side research and industry news. Create and moderate teleconferences on timely topics featuring an expert from Guidepoint’s network with the goal of producing actionable insights for clients. WHAT YOU HAVE: Bachelor’s degree or Master’s degree Minimum 10 years of sell-side or buy-side analyst experience Must follow bottoms-up, fundamental approach to investment research focusing on individual companies Must be current on multiple subsectors within consumer (packaged food, beverage, household & personal goods, apparel manufacturers, speciality retailers, broadlines, softlines, e-commerce, recreational products etc, gaming/lodging in terms of news flow and what issues matter to the buyside at any given time Ability to work in a fast-paced entrepreneurial environment Outgoing personality with the ability to speak with people at all professional levels Intellectual curiosity and desire to learn Effective time management and organizational skills Demonstrated ability to work both individually and as part of a team; must be willing to train and mentor junior professionals About Guidepoint Guidepoint powers end-to-end research workflows for the world’s best research teams. Backed by a global network of more than 2 million experts and over 1,600 employees, Guidepoint delivers real-time access to expertise, primary research, and actionable knowledge that help organizations

Overview: Guidepoint’s Client Service team connects leading investment firms, consultancies, and corporations with the subject-matter experts they need to make informed business and investment decisions. By understanding each client’s specific research needs and delivering targeted expert matches, often within hours, the team plays a critical role in providing a fast, high-quality client experience. As an Associate on the Client Service team, you will play a central role in delivering that experience. You will learn how to assess client needs, identify the types of experts best suited to address them, and recruit new experts into Guidepoint’s global network of more than 1,750,000 Advisors. The role offers exposure to a dynamic, results-oriented environment where strong judgment, responsiveness, and the ability to execute across multiple priorities are highly valued. Due to the collaborative nature of the Client Service team, the work schedule is hybrid with three days in the office required. Who We Are: High-performing team driven by execution, accountability, and consistent client impact Client-centric culture where responsiveness, resourcefulness, and attention to detail define how we operate Team committed to developing talent through hands-on mentorship, coaching, and leadership support Workplace that embeds continuous learning and career development as a core part of how we grow and excel Environment where strong performers take on increasing leadership, commercial responsibility, and client ownership Guidepoint is passionate about your career growth: Check out our Client Service Career Trajectory What You Will Own: Recruit new experts into Guidepoint’s network and engage them for client consultations Independently conduct targeted research across LinkedIn, press releases, company websites, case studies, and other public sources to identify relevant subject-matter experts Lead cold outreach, phone-based vetting, and screening conversations with experts to evalu

Overview: Guidepoint’s Client Service team connects leading investment firms, consultancies, and corporations with the subject-matter experts they need to make informed business and investment decisions. By understanding each client’s specific research needs and delivering targeted expert matches, often within hours, the team plays a critical role in providing a fast, high-quality client experience. As an Associate on the Client Service team, you will play a central role in delivering that experience. You will learn how to assess client needs, identify the types of experts best suited to address them, and recruit new experts into Guidepoint’s global network of more than 1,750,000 Advisors. The role offers exposure to a dynamic, results-oriented environment where strong judgment, responsiveness, and the ability to execute across multiple priorities are highly valued. Due to the collaborative nature of the Client Service team, the work schedule is hybrid with three days in the office required. Who We Are: High-performing team driven by execution, accountability, and consistent client impact Client-centric culture where responsiveness, resourcefulness, and attention to detail define how we operate Team committed to developing talent through hands-on mentorship, coaching, and leadership support Workplace that embeds continuous learning and career development as a core part of how we grow and excel Environment where strong performers take on increasing leadership, commercial responsibility, and client ownership Guidepoint is passionate about your career growth: Check out our Client Service Career Trajectory What You Will Own: Recruit new experts into Guidepoint’s network and engage them for client consultations Independently conduct targeted research across LinkedIn, press releases, company websites, case studies, and other public sources to identify relevant subject-matter experts Lead cold outreach, phone-based vetting, and screening conversations with experts to evalu