Sr Sales Engineer Jobs

About the Team The Supply Chain Technology team within OpenAI’s Enterprise Platform & Technology builds and scales the systems and data architecture that power our core supply chain operations. We enable operational agility, visibility, and execution across planning through fulfillment and partner operations. Our focus is on modernizing workflows through strategic integrations, scalable automation, and seamless data flows empowering better decisions, reliable operations, and sustainable growth as OpenAI evolves. About the Role As a Senior Integrations Engineer, you will design, build, and operate the integrations and custom applications that connect OpenAI’s supply chain ecosystem. You will combine integration platforms, Python development, and APIs to deliver reliable data flows across enterprise systems, internal applications, and external partners. You will partner closely with Hardware Operations, Application Engineers, Product Managers, IT, and business teams to improve data integrity, automate operational workflows, and support the transition from legacy systems to modern cloud platforms. This is a hands-on engineering role with ownership across architecture, implementation, deployment, and ongoing production support. In this role, you will Define integration architecture and reusable design patterns across the supply chain technology landscape, balancing reliability, security, maintainability, and delivery speed. Build and support integrations connecting ERP and SCM systems, internal applications, e-commerce platforms, third-party logistics providers (3PLs), contract manufacturers (CMs), retailers, and distributors. Develop workflows, APIs, event-driven services, and batch and file interfaces, choosing the appropriate combination of platform capabilities and custom code. Build production Python applications, integration services, reusable connectors, and operational tools with automated tests and maintainable interfaces. Implement API and EDI partner inte

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations. Our engineers are extremely high leverage: we simultaneously drive multiple major revenue streams while optimizing one of Anthropic's most precious resources: compute. As we expand to more cloud platforms, the complexity of managing inference efficiently across providers with different hardware, networking stacks, and operational models grows significantly. We need product-minded backend engineers who can navigate these platform differences, design the services and abstractions that work across providers, and make architectural decisions that keep us reliable and cost-effective at massive scale. Your work will increase the scale at which our services operate, accelerate our ability to reliably launch new frontier models and innovative features to customers across all platforms, and ensure our LLMs meet rigorous safety, performance, and security standards. Key responsibilities Design, build, and own backend services and infrastructure that serve Claude across multiple CSPs, accounting for differences in compute hardware, networking, APIs, and operational models Work cross-functionally with internal inference, product API, systems, and security teams, among others, and with CSP partners to stand up the full serving stack on new cloud platforms, resol

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations. Within Cloud Inference, the model & inference launch team owns the validation pipeline for our inference server and load balancer on these platforms. We're responsible for every inference change — model launches, performance improvements, safeguard integrations — landing on cloud platforms with correctness, performance, and reliability intact. This is high-leverage infrastructure work: validation has to be fast and cheap enough to run on the same accelerators that serve customers, trustworthy enough to replace manual checks, and consistent enough that a change working on Anthropic first-party means it works everywhere. This directly determines how fast frontier models and features ship to every cloud platform, and how quickly performance wins reach production — reclaiming capacity at a time when compute is our scarcest resource. Key responsibilities Be on the critical path for frontier model launches, bringing up inference for new model architectures and shipping them to cloud platforms in lockstep with our first-party platform Work with the core inference team to bring new inference features (e.g. structured sampling, prompt caching, and more) to cloud platforms, owning the platform-specific integration that gets them to production Identify an

Fiduciary Trust International is a premier investment and wealth management firm with a commitment to growing and protecting wealth across generations. We offer a dynamic and collaborative approach to managing wealth for high-net-worth and ultra high-net-worth individuals and families, family offices, endowments, foundations, and institutions. Our investment managers, tax and estate planning professionals work together to develop holistic strategies to optimize clients’ portfolios while mitigating the impact of taxes on their wealth. As a fiduciary, the guidance we provide is in the best interests of our clients, without conflict or competing benefits. We offer boutique customization and deep expertise in specialized investment, tax and planning strategies alongside sophisticated technology and custody platforms. Fiduciary Trust International is owned by Franklin Templeton, a dynamic firm that spans asset management, wealth management, and fintech, giving us many ways to help investors make progress toward their goals. With clients in over 150 countries and offices on six continents, you’ll get exposed to different cultures, people, and business development happening around the world. About the Department: Our AI Engineering team develops and scales production-ready Generative AI and Agentic AI solutions that help solve complex business challenges and accelerate innovation across the organization. The team brings together AI engineers, architects, and business stakeholders who work collaboratively to design, build, and deploy secure, enterprise-grade solutions on Microsoft Azure. Joining this team offers opportunities to work with emerging technologies, influence AI standards and best practices, and contribute to high-impact initiatives in a collaborative and growth-oriented environment. How Y

Sr. Automation Engineer - IT Asset Management Req ID: GAQ427R222 About the Role As a Senior Automation Engineer on the IT Asset Management team at Databricks, you will be the technical engine behind transforming how we manage ~$XXM/yr in asset spend across SaaS licenses and hardware. Your primary mission is to eliminate manual toil and build scalable, AI-powered automation that makes asset operations fast, accurate, and effortless as Databricks scales past 14,000 employees. Your initial focus will be on IT asset management workflows: automating new hire laptop provisioning, SaaS license lifecycle management, asset data reconciliation, and hardware recovery. Over time, you will expand your automation footprint across IT Support and Operations, including IT support workflows, AV/VC and event support, and incident response management. This role requires a strong automation-first mindset, the ability to learn new domains quickly, and comfort building with AI/LLM tools. You will report to the Senior Manager of IT Asset Management. The Impact You Will Have New hire laptop provisioning: Build end-to-end automation for assigning, configuring, and shipping laptops to new hires, targeting a 75% reduction in manual ticket toil. SaaS license lifecycle: Automate license consumption monitoring, inactivity-based seat clawbacks, renewal alerting, and cost optimization workflows to help drive $1.5M+ in annual savings and cost avoidance. Asset data quality: Automate CMDB/inventory reconciliation, deduplication, and multi-device detection to bring asset records to audit-ready accuracy. Offboarding asset recovery: Automate tracking and recovery of hardware from exiting employees, reducing loss and improving chain-of-custody compliance. Broader IT Ops automation (over time): Extend automation into IT support, AV/VC and event support, and incident response management as the ITAM automation foundation matures. What We Are Looking For Core Qualifications 5+ years of experience in IT system

The Team + The Role The Pendo for Agents team builds Pendo's AI and agent product area, a large greenfield surface where much of the architecture is being defined as the team builds. This team operates at the center of a fast-moving product space where engineering decisions shape both the customer experience and the technical foundation for future scale. As Senior Manager, Engineering, you will own technical direction for Pendo for Agents end to end and be fully accountable for delivery, engineering quality, and the talent pipeline. You will partner closely with Product, Design, Staff and Principal engineers, and adjacent Engineering leaders to make high-quality architecture decisions, guide execution, and grow a team that can move quickly without over-building. This role is based in our New York City office. What this looks like day-to-day Team leadership: Lead, coach, and manage a team of approximately four engineers today, with the role growing into ownership of two teams as the product area scales. You will support onboarding, professional development, and the growth of strong individual contributors and emerging technical leaders. Architecture ownership: Own the technical direction for the Pendo for Agents architecture end to end. You will partner with Staff and Principal engineers on build-versus-buy decisions, including when to use existing frameworks and when to build in-house. Delivery execution: Guide prioritization, planning, and execution across the team while maintaining a healthy delivery cadence. You will own delivery commitments across sprint and quarterly planning cycles and hold the team accountable to outcomes. Cross-functional partnership: Partner with Product and Design to deliver high-quality features using Agile development practices. You will align on scope, sequencing, and risk while surfacing engineering constraints early and maintaining trust under pressure. Player-coach technical leadership: Stay hands-on in architecture and technical pro

Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. Role Overview As a Staff or Senior Staff Software Engineer on the Product Engineering team at Harvey, you will own and lead engineering projects that span multiple Product Engineering teams and product lines. You'll work closely with our AI, Legal, and GTM teams to build secure systems that deliver value to our customers. Product Engineering covers a lot of ground, and we're looking for engineers across multiple domains — backend, full stack, and AI. We want people who have built great products across consumer, enterprise, and everything in between, and who are excited about building the future of application layer and genAI products. You'll build both the surfaces where lawyers meet Harvey — web, mobile, and embedded experiences in Word, Outlook, and Slack — and the agentic capabil

Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. Role Overview As a Staff or Senior Staff Software Engineer on the Product Engineering team at Harvey, you will own and lead engineering projects that span multiple Product Engineering teams and product lines. You'll work closely with our AI, Legal, and GTM teams to build secure systems that deliver value to our customers. Product Engineering covers a lot of ground, and we're looking for engineers across multiple domains — backend, full stack, and AI. We want people who have built great products across consumer, enterprise, and everything in between, and who are excited about building the future of application layer and genAI products. You'll build both the surfaces where lawyers meet Harvey — web, mobile, and embedded experiences in Word, Outlook, and Slack — and the agentic capabil

Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. Role Overview Harvey runs on a fleet of Macs and Windows devices, and every one of them is the front door to how each Harvey employee does their work. We're seeking a Senior Systems Engineer to own client engineering end to end - Jamf, Intune, Autopilot, Okta device trust, and more, and the automation that ties them together. This is the person who decides how a laptop gets built, secured, patched, recovered, and retired, and who makes those decisions hold up as we scale across offices globally. The ideal candidate has run a production device management environment at scale and can move between writing the deployment tooling, debugging a broken enrollment, and pushing for improvements to policy, process, and systems along the way. What You'll Do Own the endpoint platform. Jamf Pro f

Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. Role Overview Harvey runs on a fleet of Macs and Windows devices, and every one of them is the front door to how each Harvey employee does their work. We're seeking a Senior Systems Engineer to own client engineering end to end - Jamf, Intune, Autopilot, Okta device trust, and more, and the automation that ties them together. This is the person who decides how a laptop gets built, secured, patched, recovered, and retired, and who makes those decisions hold up as we scale across offices globally. The ideal candidate has run a production device management environment at scale and can move between writing the deployment tooling, debugging a broken enrollment, and pushing for improvements to policy, process, and systems along the way. What You'll Do Own the endpoint platform. Jamf Pro f

FEQ427R339 Location: Melbourne or Sydney As a Specialist Solutions Architect (SSA), you will be the trusted technical ML & AI expert to both Databricks customers and the Field Engineering organization. You will work with Solution Architects to guide customers in architecting production-grade ML & AI applications on Databricks, while aligning their technical roadmap with the continually evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying cutting-edge technologies in GenAI, MLOps, and ML more broadly, expanding your impact through mentorship, and establishing yourself as an AI thought leader. The impact you will have: Architect production-level ML & AI workloads for customers using our unified platform, including agents, end-to-end ML pipelines, training/inference optimization, integration with cloud-native services, MLOps, etc. Serve as a trusted practitioner for enterprise GenAI solutions, including RAG architectures, agentic systems (tool-calling agents, multi-agent orchestration, guardrails), natural language querying of structured data, AI evaluation and observability, and monitoring systems Build, scale, and optimize customer AI workloads and apply best-in-class MLOps to productionize these workloads across a variety of domains Provide advanced technical support to Solution Architects during the technical sale, ranging from feature engineering, training, tracking, serving, to model monitoring, all within a single platform, as well as participating in the larger ML SME community in Databricks Collaborate cross-functionally with the product and engineering teams to represent the voice of the customer, define priorities, and influence the product roadmap, helping with the adoption of Databricks’ AI offerings What we look for: 5+ years of hands-on industry ML experience in at least one of the following: ML Engineer: Build and maintain production-grade cloud (AWS/Azure/GC

P-1489 About Databricks At Databricks, we are passionate about empowering data teams to tackle the world's most complex challenges — from bringing the next mode of transportation to reality to accelerating the development of medical breakthroughs. We achieve this by building and operating the world's best data and AI infrastructure platform, enabling our customers to leverage deep data insights and enhance their business. The Role We are seeking an exceptional Senior Staff Technical Program Manager (TPM) for Reliability to lead the strategy, execution, and continuous improvement of our most critical Reliability initiatives across infrastructure and product engineering teams at Databricks. As Databricks scales to support thousands of customers and the world’s most data-intensive workloads, Reliability is foundational to our mission. In this role, you will lead cross-company programs that significantly enhance the reliability, performance, and operational excellence of our multi-cloud infrastructure. This is a high-visibility, high-impact leadership role partnering closely with our most senior engineering leaders, including Reliability Program executive sponsors, senior TLs, and Engineering Managers to define Reliability strategy, set long-term goals, and execute multi-quarter programs to build the most reliable cloud platform on the planet to help our customers run their mission-critical workloads on. To be successful, you must possess a deep understanding of large-scale distributed systems, cloud infrastructure, and engineering principles that drive operational excellence. You will leverage your background to anticipate risks, shape technical direction, and deliver complex programs across product, engineering, SRE, and cloud partner teams. You will have the opportunity to: Lead Reliability Strategy + Multi-Quarter Roadmaps Partner with senior engineering leadership to define the long-term Reliability roadmap, influence technical direction, and ensure alignment

P-1489 About Databricks At Databricks, we are passionate about empowering data teams to tackle the world's most complex challenges — from bringing the next mode of transportation to reality to accelerating the development of medical breakthroughs. We achieve this by building and operating the world's best data and AI infrastructure platform, enabling our customers to leverage deep data insights and enhance their business. The Role We are seeking an exceptional Senior Staff Technical Program Manager (TPM) for Reliability to lead the strategy, execution, and continuous improvement of our most critical Reliability initiatives across infrastructure and product engineering teams at Databricks. As Databricks scales to support thousands of customers and the world’s most data-intensive workloads, Reliability is foundational to our mission. In this role, you will lead cross-company programs that significantly enhance the reliability, performance, and operational excellence of our multi-cloud infrastructure. This is a high-visibility, high-impact leadership role partnering closely with our most senior engineering leaders, including Reliability Program executive sponsors, senior TLs, and Engineering Managers to define Reliability strategy, set long-term goals, and execute multi-quarter programs to build the most reliable cloud platform on the planet to help our customers run their mission-critical workloads on. To be successful, you must possess a deep understanding of large-scale distributed systems, cloud infrastructure, and engineering principles that drive operational excellence. You will leverage your background to anticipate risks, shape technical direction, and deliver complex programs across product, engineering, SRE, and cloud partner teams. You will have the opportunity to: Lead Reliability Strategy + Multi-Quarter Roadmaps Partner with senior engineering leadership to define the long-term Reliability roadmap, influence technical direction, and ensure alignment

Sr Product Manager, Employee Experience Location: San Francisco, CA or Mountain View, CA GAQ426R322 About Databricks At Databricks, our mission is to help data teams solve the world’s toughest problems and that starts with empowering our own employees. The Databricks IT organization is a product-led team that builds intelligent, scalable systems to make every Brickster’s workday simpler, faster, and more connected. We’re reimagining how employees and managers interact with internal tools; designing a unified, AI-driven experience that integrates data, insights, and workflows across the company. We’re looking for a Senior Product Manager (L5) to lead strategy and delivery for our newly formed People Pod. This role is a "zero to one" initiative focused on building next-generation agentic workflows on top of Databricks to fundamentally enhance internal employee experience tools and extend capabilities far beyond traditional systems like Workday. The Opportunity Managers and employees at Databricks interact with dozens of systems every week, from Workday to performance and onboarding tools, often switching contexts and duplicating effort. This team is responsible for defining and delivering product vision to simplify and unify the employee experience, designing an integrated, intelligent automation layer that sits on top of our systems of record to surface the right tasks, insights, and actions in one place. As the Product Manager for the People Pod, you will own a highly visible, zero-to-one product area, driving product thought leadership to shape how Databricks scales its internal workforce lifecycle through advanced automation and specialist domain applications. What You’ll Do Own the Zero-to-One Vision: Define and evolve the long-term strategy for the unified employee and manager experience, specifically focusing on advanced agentic workflows and automation tailored to the People function. Drive Product Strategy & Automation: Partner closely with develope

AI at Zapier At Zapier , we build and use automation every day to make work more efficient, creative, and human. So if you’re using AI tools while applying here - that’s great! We just ask that you use them responsibly and transparently . Check out our guidance on How to Collaborate with AI During Zapier’s Hiring Process , including how to use AI tools like ChatGPT, Claude, Gemini, or others during our hiring process - and when not to. Job posted: 8/28/2026 Location: Remote Canada, Central & South America- Pacific Time (PST) working hours required Hi there! Zapier’s mission is to make automation work for everyone, helping people eliminate repetitive work and focus on what matters most. We’re looking for a Senior Technical Account Manager to support our Enterprise customers on the post-sale team. You’ll serve as a named senior technical partner to builders, technical leaders, and executives, helping them turn important business problems into reliable, well-designed automations. You’ll join a growing team of four Sr TAMs reporting to a Senior Manager. Customer portfolios vary by program, account size, technical complexity, and level of engagement. Customers typically receive an average allocation of approximately six dedicated TAM hours, which you’ll use for architecture, hands-on building, technical enablement, and proactive account planning. You’ll design architectures, build and improve workflows, solve complex technical problems, and strengthen the resilience of customers’ automation systems. In partnership with Customer Success, you’ll connect this work to adoption, customer value, retention, and growth. You’ll also represent the customer internally, giving Product and Engineering clear insight into product gaps, critical bugs, and opportunities to improve the Enterprise experience. Our Commitment to Applicants Culture and Values at Zapier Zapier Guide to Remote Work Zapier Code of Conduct Diversity and Inclusivity at Zapier Things You’ll Do Design, build, an