Customer Activation Manager Strategic Enterprise in New York

Join VTS as an Engineering Manager. As a technical leader, you'll drive high-impact, customer-facing projects across major features in web and mobile. You’ll play a pivotal role in advancing VTS's evolution into an AI-powered platform, further cementing our industry-leading position. In this role, you will be responsible for fostering a healthy and collaborative culture, guiding the team's execution and delivery, and mentoring engineers to grow their careers and capabilities. ** Please note that this opportunity is located in New York, NY, and requires this hire to work from our office 4 days a week. ** To thrive in this role, you have: Proven experience leading software teams using agile development methodologies. A strong technical background with a proven track record of building, deploying, and maintaining scalable web applications, services, and third-party integrations. Experience working on high-impact, business-critical domains, where reliability, performance, and operational stability are essential. Demonstrated ability to recruit and develop talent, strengthening the team's capabilities through effective coaching and mentorship. The ability to engage in strategic technical discussions, adeptly manage technical tradeoffs and risks, and ensure alignment with product and business goals, especially in environments involving multiple systems and external partners. A sense of empathy for the customer and a relentless focus on shipping high-quality products. Excellent communication skills that empower you to effectively convey ideas, coach, mentor, and educate others. A keen interest in building AI-backed features and leveraging AI as an engineering productivity tool. What you'll do: Lead and Develop a High-Performing Team : Foster a healthy, collaborative, and diverse culture that reflects our company and engineering values. Coach and mentor individual team members, creating a structured environment and feedback loop that supports career development and hi

As a Senior Technical Solutions Consultant , you will be the principal technical liaison between our product, sales, and customer success teams. You will provide tailored solutions for clients in the commercial real estate sector, specifically focusing on the complex VTS Activate product landscape (including Activate, Activate Workplace, Activate Multifamily, CBRE Host, and CBRE Host Building) . Your unique combination of property management experience and deep technical proficiency will help ensure that our clients maximize the value of our software. ** Please note that this opportunity is located in New York, NY, and requires this hire to work from our office 4 days a week. ** What Makes This Job Awesome? Act as the definitive subject matter expert (SME) and technical leader for the VTS Activate suite's integration landscape and partnerships, both internally and externally (e.g., Braxos, Kastle, CCure, AMAG, etc.). Design and deliver advanced, in-depth technical demonstrations for prospects and clients, specifically showcasing how the VTS Activate product suite solves specific challenges. Provide advanced technical support during the sales process, addressing complex questions and concerns about system integrations and core functionalities, serving as the technical closer for Activate deals. Provide support during the sales process for qualifying opportunities with hardware requirement and implementation. Provide handover details to cross-functional stakeholders to ensure smooth implementations. Own the solution reporting process for VTS Activate deals, including documenting deal journals and synthesizing won/loss reasons. This reporting provides critical intelligence for the Product team (feature gaps), the Sales team (competitive analysis), and the Executive team (market/product trends). Lead knowledge transfer and cross-functional upskilling initiatives for the Sales, Customer Success, and Services teams. This involves supporting the creation of documenta

Lithic is the modern card issuing and processing platform empowering ambitious financial companies to build the future of payments. Our infrastructure powers card programs for 100+ innovative clients, from fintechs reimagining credit and digital banking to platforms transforming disbursements and spend management. Companies like Mercury, Flex, and Novo rely on Lithic's developer-friendly APIs, direct network connections, and flawless reconciliation to launch and scale card programs in weeks, not years. We're building a future where access to better financial products materially improves people's lives, free from the constraints of 30-year-old mainframes and legacy processors. We're proud to be backed by world-class investors who share that vision, including Bessemer Venture Partners, Index Ventures, Spark Capital, Stripes, and Mastercard, along with many others. We're a team of 170+ across 26 states and 7 countries, headquartered in New York City. We are seeking a Product Delivery Specialist to join Lithic’s team in our NYC office. In this role, you will lead complex customer implementations, drive operational excellence, and develop scalable processes that enable billions in transactions for the most innovative fintechs and digital banks. This position offers a unique vantage point across our business from product and engineering to compliance and operations allowing you to tackle meaningful challenges while making a tangible impact. In this role, you will coordinate a wide range of activities from implementing customer requirements and configuring the software to conducting technical setup and integration support with the ultimate goal of getting the customer’s solution live as quickly as possible, driving fast Time to Revenue (TTR) and provide great customer experience. You will operate at the intersection of our customers, internal teams, and third-party partners, executing progress across multiple project streams simultaneously. You will launch new

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 Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in New York. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own technical delivery across multiple deployments from first prototype to stable production 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 Scope work, sequence delivery, and remove blockers early 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 that others can use Share field feedback that helps Research and Product understand where the models succeed and where they can improve Keep teams moving through clarity and follow-through You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer-facing work Have scoped and delivered complex systems in fast-moving or ambiguous environments Write and review production-grade code across frontend and backend using Python, JavaScript, or c

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, Seattle, Washington D.C., Raleigh, London, and Amsterdam. About the Team The Embedded Insights team supports Plaid’s mission to build a world-class suite of intelligence products. We identify the best opportunities to use machine learning in Plaid products, prove out those opportunities, and collaborate with cross-functional partners to turn them into real-world production systems. About the Role As a Senior Machine Learning Engineer on Embedded Insights, you will help shape Plaid’s future by building machine learning-powered products and features. You will initially support the Plaid App, working on a 0-to-1 consumer-facing product and helping establish product-market fit for a new business line. You will work closely with product managers, data scientists, engineers, customers, and other machine learning engineers to translate ambiguous opportunities into effective ML systems that create measurable customer value. In supporting the Plaid App, you will: Build machine learning-based features for a 0-to-1 consumer-facing product. Partner with product managers to translate ambiguous business requirements into machine learning problems and influence product strategy and roadmap decisions. Rapidly iterate and experiment to help drive product

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

The GTM Enablement & Business Value Excellence team is the center of excellence responsible for how go-to-market execution is designed, enabled, measured, and continuously improved across Sales Enablement, Technical Solutions Enablement, and Business Value. We establish the capabilities, operating model, systems, analytics, and governance that enable our customer-facing teams to execute consistently at scale and adapt as our business evolves. Within the team, Enablement Operations designs and manages the operational infrastructure that powers enablement at scale. This includes operational governance, enablement systems, knowledge management, reporting, operational processes, and continuous improvement, ensuring programs can be delivered consistently, measured effectively, and continuously optimized. The Opportunity: As an Enablement Operations Manager, you will own the operational infrastructure that enables our programs to run efficiently and consistently at scale, with a primary focus on supporting Technical Solutions Enablement. You will partner closely with the Technical Solutions Enablement team to manage operational processes, enablement systems, knowledge management, reporting, governance, and continuous improvement. You will also collaborate with the Enablement Systems & Analytics team and cross-functional stakeholders to evolve the operational capabilities that support scalable execution. This role is ideal for someone who enjoys building scalable systems and processes, improving how work gets done, and creating the operational foundation that enables high-performing teams. 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: Support the operational processes, governance, and enablement systems that support Technical Solutions Enablement. Man

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 is reimagining how customers adopt, expand, and realize value from software in an AI-native world. As an Outcomes Architect, you’ll be the build-beside partner who helps customers turn AI ambition into working systems inside Notion. You’ll own workflow adoption, value delivery, and renewal outcomes for a book of named accounts, with a focus on customers that are flat, at-risk, or need a stronger path to measurable impact. You’ll partner closely with Solutions Consultants on account strategy, expansion qualification, and planning, while directly shaping outcomes that strengthen customer partnerships and contribute to predictable revenue. If you’re someone who loves helping customers build workflows that solve real business problems—and you want to work at the intersection of AI, productivity, customer value, and revenue impact—this is the role. 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 te

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role The Applied AI team at Ramp is at the forefront of leveraging AI to drive innovation across our platform. We are seeking strong full-stack engineers who are proficient in web frameworks, backend development, and infrastructure. You will work on exciting projects such as AI Agents, Retrieval-Augmented Generation, Structured Extraction (we made https://github.com/1rgs/jsonformer ), internal tooling for customer-facing teams, fine-tuning models, and build infrastructure for LLM inference. If you're passionate about working on real production use cases of large language models (LLMs) and want to contribute to groundbreaking AI applications, this role is for you. What You’ll Do Ship full-stack AI projects end to end Build and integrate components for AI infrastructure, supporting production-level inference and fine-tuning Develop and improve engineering processes, tools, and systems to scale AI solutions across Ramp Create tools and internal platforms to enhance the productivity and capabilities of Ramp's AI and engineering teams What You

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role Replit is experiencing extraordinary growth across our customer base and seeking an Enterprise Account Manager with strong communication skills to drive retention, expansion, and customer success. Candidates with Customer Success or Enterprise Account Management experience in SaaS, particularly with some technical background (i.e. having some coding knowledge or prior experience at other developer tool companies) are ideal. We believe this role offers a distinctive opportunity for people who excel in client-facing situations and have a passion for customer success and AI. You'll leverage your skills to help customers maximize value from Replit's platform while driving sustainable revenue growth. In this role you will: Serve as the primary relationship owner for your assigned customer portfolio, ensuring high satisfaction and retention Champion customer success by helping businesses realize the transformative potential of AI-powered software creation Lead onboarding programs that accelerate customer time-to-value and platform adoption Guide customers through Replit's rapidly evolving feature set, including Agent 3's autonomous capabilities, Plan Mode, and automation tools Execute renewal processes with a focus on expansion and long-term partnership development Maintain accurate customer health scores and renewal forecasting data in Replit's CRM (Hubspot) Gather and communicate valuable customer feedback, championing their interests within Replit Optimize customers' use of the Replit platform through ongoing training, support, and strategic guidance Required skills and experience: 3-5+ years of experience in Customer Success, Enterprise Account Management, or technical sales role, preferably in SaaS or dev

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role Replit is experiencing extraordinary growth across our customer base and seeking a Mid-Market Account Manager with strong communication skills to drive retention, expansion, and customer success. Candidates with Customer Success or Account Management experience in SaaS, particularly with some technical background (i.e. having some coding knowledge or prior experience at other developer tool companies) are ideal. We believe this role offers a distinctive opportunity for people who excel in client-facing situations and have a passion for customer success and AI. You'll leverage your skills to help customers maximize value from Replit's platform while driving sustainable revenue growth. In this role you will: Serve as the primary relationship owner for your assigned customer portfolio, ensuring high satisfaction and retention Champion customer success by helping businesses realize the transformative potential of AI-powered software creation Lead onboarding programs that accelerate customer time-to-value and platform adoption Guide customers through Replit's rapidly evolving feature set, including Agent 3's autonomous capabilities, Plan Mode, and automation tools Execute renewal processes with a focus on expansion and long-term partnership development Maintain accurate customer health scores and renewal forecasting data in Replit's CRM (Hubspot) Gather and communicate valuable customer feedback, championing their interests within Replit Optimize customers' use of the Replit platform through ongoing training, support, and strategic guidance Required skills and experience: 3-5+ years of experience in Customer Success, Commercial Account Management, or technical sales role, preferably in SaaS or developer tools

We are seeking a Senior Revenue Accountant to join Datadog's growing Finance team. In this role, you will support the company's revenue accounting operations by partnering across Finance, Customer Success, Sales Operations, and other cross-functional teams to ensure accurate revenue recognition, billing, and financial reporting. You'll play a key role in improving order-to-cash processes, supporting month-end close activities, and helping scale finance operations in a fast-growing SaaS environment. This position offers the opportunity to develop expertise in technical accounting, process improvement, and cross-functional collaboration while contributing to Datadog's continued growth. 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: Execute month-end close activities, including preparing journal entries, balance sheet reconciliations, and supporting schedules. Analyze complex customer billing arrangements and prepare revenue recognition analyses in accordance with ASC 606. Manage invoicing activities, calculate key revenue metrics, and partner with customers and internal teams to resolve billing questions. Collaborate with Customer Success, Deal Desk, Sales Systems, and Order Operations to improve the order-to-cash process and operational efficiency. Support internal and external audit activities, including revenue walkthroughs and preparation of audit documentation. Contribute to process improvement initiatives and other cross-functional finance projects that support business growth. Who You Are: Bachelor's degree in Accounting and 3+ years of progressive accounting experience, preferably at a public company or Big Four accounting firm. Strong understanding of revenue accounting principles, including experience applying ASC 606 guidance. Excellent written

Datadog’s Implementation Services team helps customers implement and deploy Datadog quickly and successfully. Our team of architects leads the discovery, design, build, and launch of the Datadog platform to help customers accelerate time to value and get the most out of their investment. As a Senior Services Architect focused on Security and Cloud SIEM, you will help customers design, implement, and operationalize Datadog’s security capabilities across cloud, infrastructure, application, and log data sources. You will lead structured, outcome-driven professional services engagements delivered through a day-based professional services delivery model, partnering directly with customers through co-development working sessions, architecture workshops, implementation planning, and operational handoff. This role is ideal for someone who combines customer-facing consulting experience with strong cybersecurity knowledge, hands-on Cloud SIEM implementation skills, and an understanding of security control frameworks such as NIST 800-53, the NIST Cybersecurity Framework, CIS Controls, MITRE ATT&CK, SOC 2, PCI, HIPAA, ISO 27001, or similar standards. 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: Design and guide execution of Datadog implementations, focusing on Security and Cloud SIEM deployment, including discovery, requirements gathering, technical architecture, deployment planning, and launch. Partner with customers to map security requirements, controls, and monitoring objectives to Datadog capabilities, including frameworks such as NIST 800-53, NIST Cybersecurity Framework, CIS Controls, MITRE ATT&CK, SOC 2, PCI, HIPAA, ISO 27001, or similar standards. Advise customers on security data strategy, including log source prioritization, parsing, normalizat

Datadog is seeking a Director of Product Management for Platforms to lead the internal platforms that power our global engineering organization. This is both a customer and internal platform leadership role, focused on enabling Datadog customers to maximize value with Datadog but also to enable other Datadog products to build, scale, and operate products efficiently and reliably. In this role, you will bring a combination of technical expertise, product management experience, and a deep understanding of platform and shared capabilities to help Datadog grow its leadership position. You will lead a team of product managers and collaborate with senior leadership in product, engineering and design. Your scope includes driving product features shared across all Datadog but also large-scale Datadog’s platform solutions. What You’ll Do Own the vision and strategy for platform products, ensuring alignment with overall company goals and customer needs. Identify new opportunities for innovation and drive them from concept to execution, ensuring they have a measurable impact on customers and the business. Define product roadmaps and manage the prioritization of features and initiatives to ensure the team's efforts are aligned with business goals. Drive Platform Adoption: Partner with engineering and product teams to ensure widespread adoption of shared platforms and shared features, reducing duplication and accelerating delivery. Improve Operational Efficiency: Improve developer velocity, time-to-production, and operational efficiency across Datadog’s engineering ecosystem. Collaborate with cross-functional teams including engineering, design, data science, marketing, and sales to deliver infrastructure product solutions that meet customer needs and business objectives. Define and Track Success Metrics: Define and track platform success metrics, including adoption of platform capabilities, reduction in internal toil, time-to-production improvements, cost efficienc

About the team OpenAI’s Forward Deployed Engineering team partners with healthcare organizations to deploy production AI systems across clinical, operational, and member-facing workflows. We work at the boundary of customer deployment and core platform development, using customer engagements to define repeatable architectures, evaluations, integrations, and operating standards for complex, regulated healthcare environments. About the role We are hiring a Forward Deployed Engineer (FDE) to own end-to-end deployments of our models within healthcare organizations, including payers, providers, health systems, and healthcare technology companies. You will lead technical discovery, architecture, implementation, evaluation, productionization, and handoff, translating complex customer workflows, data, infrastructure, and regulatory constraints into production AI systems. You will measure success through production adoption, measurable workflow impact, and evaluation loops that establish customer-specific benchmarks, acceptance criteria, and launch readiness. You’ll collaborate directly with customer technical and operational teams, alongside internal Business, Research, Product, Engineering, and Security partners, to deliver solutions and translate deployment learnings into product improvements. This role owns the technical solution; ownership of the commercial or executive relationship is not required. This role is based New York City. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own the technical solution end to end, from customer discovery and workflow scoping through architecture, hands-on implementation, evaluation, production deployment, adoption, and handoff. Partner credibly with customer engineers, operators, and domain experts to frame ambiguous problems, define scope, and translate payer, provider, or health-system workflows into technical requirements and measurab