Ai Adoption And Change Management in New York

Specialist - Workstation Description - The Advanced Compute Solutions (ACS) Sales Specialist plays a vital role in helping new and existing customers discover and benefit from ACS. You will use your sales expertise and industry knowledge to build strong relationships, identify opportunities, and support customers throughout their journey. This position focuses on expanding our customer base, advancing the ACS sales pipeline, fostering long-term customer relationships, and supporting account managers in delivering outstanding results. ACS is a key division within HP focused on driving innovation for the future of work. Its mission is to deliver high-performance computing, enabling customers to tackle complex workloads and emerging technologies efficiently. Key Responsibilities Drive growth by acquiring new customers and expanding adoption of ACS products. Identify and pursue new ACS opportunities, while also expanding relationships with existing clients. Manage the sales process end-to-end, including building a strong pipeline, guiding product selection, pricing, and closing deals. Develop business use cases and provide expert support to sales teams. Achieve sales targets and contribute to higher customer quotations, diverse business, and increased contract-value renewals. Collaborate with customers, internal teams, and industry specialists. Stay ahead of the market by understanding ACS offerings and competitor strategies to position HP’s solutions effectively. Build trusted, consultative relationships with clients, including senior executives, by understanding their industry-specific needs and challenges. Education & Experience Recommended: Bachelor’s degree is preferred but not required. </l

As we continue to revolutionize the commercial real estate industry, we're hiring an Associate Implementation Manager to join our team. This is an entry-level role built for someone ready to take things on and grow fast. You'll be embedded in a fast-moving implementation org, supporting clients and internal teams through onboarding, approval, and early adoption. You'll work cross-functionally to ensure a seamless experience from pre-sale through ongoing support, and you'll do it with an AI-first mindset , leaning on modern tools to work smarter, not harder. ** Please note that this opportunity is located in New York, NY, and requires this hire to work from our office four days a week. ** What you'll do : Drive Efficiency with AI - Approach every task with an AI-first mindset. Look for opportunities to leverage AI & Automation Tools to automate data collection, streamline workflows, and reduce manual lift. Project Execution Partnership - Partner on projects to plan, schedule, and manage project timelines from kickoff through portfolio go-live. Facilitate recurring project management meetings, build bespoke implementation plans tailored to client goals, and ensure each project lands on time, within scope, and against the right outcomes. Handle Varied Scope - Move between data onboarding, client-specific implementation plans, and internal projects without losing momentum. You'll juggle multiple priorities and know when to ask for help versus push through. Cross-Functional Collaboration - Work closely with Sales, Solutions, Customer Success, and Support to ensure a consistent client experience from pre-sale through ongoing support. Develop Toward Client Mastery - Actively participate in internal team strategy and project management meetings to hone “VTS Best Practices” toward managing client expectations and milestones, with a clear path to owning your own accounts. What makes you a great fit? AI Forward - You've used LLM & or automation tools like n8n, Cu

In this competitive market, the Group Product Manager for Cloud Security will play a mission-critical role in providing product and strategy leadership to grow Datadog’s market share through differentiation, innovation and compelling customer value. This leader will lead a talented and growing team of product managers and work with world class engineers to build and grow multiple Cloud Security products that play an essential role for our customers’ cloud security programs, and growing Datadog into a security industry leader. You Will: Run and grow multiple Cloud Security products to meet revenue and business targets with the goal of building a multi-hundred million dollar annual business. Lead and own product strategy and roadmap for accountable security products, fully aligned to revenue and business goals and with compelling differentiation and customer value. Ensure predictable roadmap execution across direct and partner teams to achieve product and business outcomes required to meet the revenue and business goals. Analyze and develop pricing and packaging strategies to maximize revenue through attaching deep understanding of market dynamics and other strategic leverage points. Drive GTM strategy with GTM partner teams to achieve revenue and business goals Fulfill the role as the product-leader representative across accountable product lines with analyst, press and customer communities Manage and grow individual contributor (IC) Product Managers, ensuring they are motivated, delivering high quality work and finding high fulfillment. Model and contribute to a culture of learning and collaboration across product management and the broader organization Raise the bar of PM leadership through leadership in strategy development, roadmap planning and execution, GTM and overall product-leader responsibilities. You Are: An experienced leader in Product Management with demonstrated business growth and customer adoption success in the CNAPP, data and AI

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: Notion's Business Development team accelerates product distribution and platform growth through partnerships. This role has the potential to drive outsized scope in Notion's journey - we’re partnering with some of the best companies in the world and turn momentum into first-in-kind deals and scaled programs that result in delightful experiences for our customers, and growth for Notion. As Business Development Manager, you'll be the ecosystem partner to our engineering and product teams, launching and deepening integrations with frontier intelligence platforms and the tools our customers already use. You'll be the voice of partners within Notion, shaping our product roadmap and driving adoption of new APIs and developer tools in the ecosystem. You'll also get to design and execute growth strategies that drive new user demand and own relationships with some of our strategic partners like OpenAI, Anthropic, Slack, and Google. 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 i

Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. The Opportunity We are looking for a Strategic Account Director to lead growth within a set of Postman’s most important enterprise accounts. This role is part of a new strategic go-to-market motion designed to deepen our engagement with large enterprises, expand our footprint, and deliver the full value of the Postman platform. You will be paired with a pod that includes a Principal Solutions Engineer and a Field CTO, forming a high-caliber account team focused on building long-term, value-based relationships. Together, you’ll engage senior technology leaders, uncover complex challenges, and drive adoption of Postman’s enterprise and platform solutions at scale. This is not a traditional “low-hanging fruit” sales role—this is about strategic account expansion, multi-threaded enterprise engagement, and solution selling. What You’ll Do Own and grow a portfolio of strategic enterprise accounts (e.g., Fortune 500, cloud-first companies, large-scale developer organizations). Deeply engage with senior buyers—CIOs, CTOs, VPs of Engineering, Platform, Security, and Collaboration—to position Postman as a critical platform solution. Drive mu

About the Team The Commercial Sales team helps growing businesses adopt OpenAI’s products and translate emerging AI capabilities into meaningful business outcomes. We work with customers across industries and use cases, helping them evaluate, deploy, and expand their use of ChatGPT and the OpenAI API. Our team partners closely with Growth, Product, Finance, Legal, Revenue Operations, and other cross-functional teams to create a high-quality customer experience and build a scalable commercial sales motion. About the Role We are looking for an Account Director to own customer relationships and the commercial process across the SMB segment, from initial discovery through close and expansion. This is a fast-moving, high-ownership role that combines consultative selling, technical curiosity, and disciplined execution. You will build and manage pipeline, help customers connect their business priorities to OpenAI’s products, and navigate technical, commercial, and executive stakeholders throughout the buying process. You will also play an important role in shaping how OpenAI serves commercial customers by sharing market insights, improving our sales motion, and helping the team build repeatable approaches that support responsible and successful adoption. This role is based in New York NY. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Occasional travel will be required. In this role, you will: Own commercial opportunities from qualification through close, onboarding, and expansion. Build and manage a healthy pipeline across inbound, outbound, and existing customer opportunities. Lead thoughtful discovery conversations and translate customer priorities into compelling use cases for ChatGPT and the OpenAI API. Develop trusted relationships with business, technical, and executive stakeholders throughout the customer organization. Navigate complex commercial processes in partnership with internal teams, including P

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. Our Fraud team's mission is to help companies detect and prevent fraud using financial network data. We believe that transaction patterns, device signals, and behavioral data are an underleveraged tool in fraud prevention. The Fraud Consulting Lead is responsible for building and maturing our retro-as-a-service and POC program and driving adoption of our fraud products. The role sits between our data team and the customer (i.e., the role will not build the models, but will need to understand the output well enough to clearly and compellingly present the business case and work with technical stakeholders and customers.) Responsibilities: Own the retro and POC process end-to-end and collaborate with customers and internal stakeholders at Plaid Partner closely with customers to help them understand the ROI of Protect and make recommendations for implementing our fraud products Drive post-retro follow-through to convert retro results into production usage Serve as a feedback loop between customers and product to drive our Protect roadmap Qualifications: 5-10 years of experience in a customer-facing analytical role in fintech, financial services, or a related domain (e.g., software/tech) Experience worki

Position Overview: The Director, Product Marketing will own the end-to-end go-to-market strategy for Diligent Boards , driving positioning, messaging, product launches, market intelligence, sales enablement, pricing and packaging, and customer adoption across key segments and regions. We are looking for a strategic B2B SaaS product marketer with strong technical aptitude who can translate complex technology into compelling customer value. The ideal candidate has experience in a SAAS technology company. Exposure to product-led growth (PLG) is highly valuable. You will partner closely with Product, Engineering, AI/Data, Sales, Marketing, Customer Success, Enablement, Finance, and senior leadership to identify market opportunities, influence product strategy, and bring differentiated technology solutions to market. This is a high-impact role requiring someone who can move seamlessly between technical product detail, customer insights, commercial strategy, and compelling storytelling . Key Responsibilities: Go-to-Market & Product Strategy Own end-to-end GTM strategies for Diligent Boards across key customer segments and regions. Develop differentiated positioning, messaging, value propositions, and launch strategies based on customer, market, and competitive insights. Partner with Product and Engineering to understand product roadmaps, technical capabilities, integrations, data, AI functionality, and translate these into compelling customer benefits. Identify opportunities to improve product-market fit, adoption, expansion, and revenue growth. AI & Technical Product Marketing Develop GTM strategies for AI-powered products and capabilities , translating AI/GenAI functionality into clear business value and differentiated market positioning. Build sufficient technical depth to

About the Role As Enterprise Sales Manager, Banking, you will build and lead a team of Account Directors focused on driving strategic growth across the world’s largest banking institutions. You’ll be a hands-on front-line leader responsible for helping your team navigate complex enterprise sales cycles, deepen executive relationships, and drive adoption of OpenAI’s platform across highly regulated banking environments. This role will shape how OpenAI partners with global banks as they rethink productivity, operations, customer engagement, risk management, and software development through AI. You will help define the GTM strategy, operating model, and industry playbook for one of OpenAI’s most strategic verticals. Key Responsibilities Recruit, develop, and lead a high-performing team of Account Directors focused on large enterprise banking institutions across North America. Create a strong coaching culture with frequent deal reviews, account strategy sessions, ride-alongs, and structured 1:1s that elevate team performance. Define and refine the GTM strategy for banking, including account prioritization, executive engagement strategy, and territory planning. Drive disciplined pipeline generation, forecasting accuracy, and operational rigor across a complex enterprise sales motion. Guide teams through highly consultative, multi-stakeholder opportunities involving technology, security, compliance, legal, and procurement stakeholders. Help customers translate AI and API capabilities into measurable business outcomes across banking use cases such as employee productivity, customer operations, risk and compliance, software engineering, knowledge management, and workflow automation. Lead teams selling into highly regulated environments with a deep understanding of banking-specific risk, governance, and data security considerations. Partner closely with Product, Solutions Architecture, Technical Success, Legal, Security, and Finance to help customers successfully deploy AI a

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We embed deeply with users to solve high-leverage problems. We move quickly from prototype to deployment and surface patterns that shape the platform. We operate at the intersection of customer delivery and core development. We work closely with Product, Research, and Go-To-Market (GTM). About the role We are hiring a Forward Deployed Engineer (FDE) to build and deploy AI systems for legal work. You will embed deeply with customers—often working closely with senior legal practitioners—to identify the right first use case, rapidly prototype a solution, and prove measurable value. Early engagements may focus on creating a “hero” workflow that shows how OpenAI’s models can support legal analysis, drafting, research, or real-time work with complex case records. You will own the technical work from discovery and proof of concept through production adoption, while translating customer workflows and constraints into clear product feedback. As the motion matures, you will turn successful deployments into repeatable patterns that can scale across larger accounts and the broader legal market. This role is based in San Francisco or New York City. We use a hybrid work model of three days in the office per week and offer relocation assistance. Travel up to 50% may be required. In this role, you will Embed with law firms and legal teams to understand their workflows, identify high-value opportunities, and select the right initial use cases to prove value. Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks t

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We embed deeply with users to solve high-leverage problems. We move quickly from prototype to deployment and surface patterns that shape the platform. We operate at the intersection of customer delivery and core development. We work closely with Product, Research, and Go-To-Market (GTM). About the role We are hiring a Forward Deployed Engineer (FDE) to build and deploy AI systems for legal work. You will embed deeply with customers—often working closely with senior legal practitioners—to identify the right first use case, rapidly prototype a solution, and prove measurable value. Early engagements may focus on creating a “hero” workflow that shows how OpenAI’s models can support legal analysis, drafting, research, or real-time work with complex case records. You will own the technical work from discovery and proof of concept through production adoption, while translating customer workflows and constraints into clear product feedback. As the motion matures, you will turn successful deployments into repeatable patterns that can scale across larger accounts and the broader legal market. This role is based in San Francisco or New York City. We use a hybrid work model of three days in the office per week and offer relocation assistance. Travel up to 50% may be required. In this role, you will Embed with law firms and legal teams to understand their workflows, identify high-value opportunities, and select the right initial use cases to prove value. Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks t

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Observe by Snowflake is a high-growth SaaS observability platform built on the Snowflake AI Data Cloud, enabling businesses to troubleshoot modern distributed applications 10x faster. Now, as a core part of Snowflake, we’ve reached a major milestone in the evolution of the Snowflake platform. By bringing AI-powered observability directly into the Snowflake ecosystem, we’ve created the first truly unified platform for telemetry and business data. We’re looking for an Implementation Engineer to help enterprise customers successfully deploy, configure, and operationalize Observe. This is a hands-on, post-sales technical role focused on delivering strong first outcomes, accelerating time-to-value, and establishing a solid foundation for long-term customer success. Implementation Engineers are deeply technical, customer-facing practitioners who work closely with customer platform, SRE, DevOps, and application teams during onboarding and early adoption. In this role, you’ll translate existing observability architectures (including OpenTelemetry-based pipelines, Splunk, ELK, and other monitoring solutions) into scalable, production-ready implementations on Observe—using best practices while balancing speed, quality, and customer enablement. Implementation Engineers focus on initia

We’re looking for an experienced Associate to join our growing GTM Strategy & Operations team. Our team solves complex problems that require insight, creativity, and execution through building scalable processes, tools, and systems for our rapidly growing global business. You will own the day-to-day management and strategy of the sales productivity tool ecosystem that powers our Sales and Customer Success organizations - including contact intelligence, outbound sequencing, and data enrichment platforms. Doing this successfully requires a deep understanding of the “day in the life” for field teams, strong vendor management skills, and the ability to translate business needs into tooling solutions that help Datadog grow 10x. 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. You Will Own the tool portfolio: Manage the strategy, lifecycle, and day-to-day administration of Datadog’s sales productivity tools, including contact intelligence, outbound sequencing, and data enrichment platforms Lead AI tooling strategy: Identify, evaluate, and pilot AI-powered tools and features that enhance sales productivity - from AI-assisted prospecting and enrichment to intelligent sequencing and personalization - and help define Datadog’s forward-looking AI tooling roadmap for the Sales and CS organizations Drive vendor performance: Manage vendor relationships, contract renewals, and commercial negotiations in partnership with Legal, Finance, and Procurement - including benchmarking tools against alternatives and driving competitive pricing Measure impact: Define and track success metrics across all managed tools (e.g., adoption rates, data quality, pipeline influenced) and use findings to make data-driven consolidation, expansion, or replacement decisions Partner with the field: Wo

Applied AI is where Datadog's ambitious AI bets get built and shipped ( Bits Chat , updog ). We sit at the intersection of research and product: turning promising capabilities from Datadog AI Research lab and the research community into production systems that reach real customers. The team builds the foundations for agentic systems capable of operating at scale in complex production environments. Current bets span agents that run autonomously at scale, context and memory layers that make those agents more intelligent over time, and tools that help customers build and validate AI-native services in production. The mandate is to move fast from idea to customer impact, and when a product finds its footing, to set it up for growth. As an Engineering Manager I in Applied AI, you will lead a team of engineers and applied scientists working on one of these challenges. You will define technical direction, run short feedback loops, make deliberate decisions about what to pursue or stop, and work closely with product managers, research teams, and cross-functional partners to ship AI capabilities that matter. At Datadog, we place value in our office culture, the relationships and collaboration it builds and the creativity it brings. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do Lead and develop a team of engineers and applied scientists focused on building the foundations for agents operating at scale Work closely with product managers, research teams, and cross-functional partners to shape the team's bets from initial framing through to broader adoption, with a clear definition of success criteria at each stage Own end-to-end delivery of high-quality AI systems, from early research exploration to production-grade reliability, with high standards for operational excellence, system reliability, and technical quality Navigate the unique challenges of shipping AI-powered products: balancing quali

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