Partner Development Manager Saas Platforms in United States

About the Team Customer education helps customers and partners build the practical skills and confidence to use AI and OpenAI products safely and effectively. The team focuses on role- and skill-based learning paths, practical content, and product experiences that accelerate learning in the workplace. It brings together learning and enablement expertise, field insight, product signals, and measurement to improve learner and business outcomes. Together, these experiences will help enterprise users build practical AI skills, apply them with confidence in their work, and demonstrate what they can do. Employers will gain a clearer view of workforce skills and progress, helping them recognize capability, focus development where it matters most, and build confidence in workforce readiness. About the Role We’re looking for a full-stack engineer to define and build a new class of learning experiences. This is an early-stage product area where technical judgment, product sense, and learner empathy are critical. You will be setting a technical vision for how people use AI to learn how to use AI, safely and beneficially. This is a hands-on, 0-1 product engineering role with broad technical and product ownership. You’ll set direction, make foundational decisions, and ship the first versions of experiences that can grow into the default way people learn at work. You will drive full-stack product experiences end to end, from prototype through launch, instrumentation, iteration, and production hardening. The work spans interaction design, frontend implementation, backend APIs and services, learner state, content and runtime integration, telemetry, evaluation, reliability, safety, accessibility, and launch readiness. You’ll work closely with our education, GTM, and engineering teams to translate how people learn into products people want to use. bring role- and skill-based learning paths into the product, designing coaching, feedback, and adaptive support which responds to each lea

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

NVIDIA is seeking a world-class computer architect to contribute to the development of future high-performance computing systems, with a focus on enhancing the power-constrained performance of the hardware. Ideal candidates will have a strong track record of understanding and analyzing memory systems architecture to improve performance per watt (perf/W) and performance per millimeter (perf/mm). A broad perspective across the field of computer architecture and depth in the area of power, performance, and area (PPA) analysis is highly desirable. NVIDIA has pioneered programmable GPUs and the CUDA language and is a world leader in high-performance computing technology, with aggressive plans for future processors. This position offers the opportunity to have a real impact in a fast-moving, technology-focused company. What you will be doing: Develop innovative high-performance processor and system architectures, focusing on the memory system and energy efficiency. Develop architecture and micro-architecture features to improve the state-of-the-art in GPU memory systems, optimizing along the axes of perf/W, perf/mm, and perf/$. Develop and enhance architecture prototype models for power and noise analysis. Participate in performance and power simulation of features to analyze, define, and improve energy per byte. Analyze benchmarks, application workloads, and performance/power simulation and emulation results to identify areas for architecture optimizations. Debug power, performance, and functional issues with high-level models, RTL simulation and emulation, silicon, and systems. Collaborate with outside partners on system infrastructure. What we want to see: 10+ yrs of experience in CPU/GPU architecture, memory systems design with a focus on energy efficiency in the system. Bachelor

About Stitch Fix, Inc. Stitch Fix (NASDAQ: SFIX) Stitch Fix is redefining retail by combining human creativity with advanced data science and Generative AI. As we build the future of personalized shopping, we’re equally committed to building yours. We believe in investing in our team as much as our technology. Join us to be a trendsetter in the industry and help us redefine what’s possible for our clients, while we help you reach your full potential. About the Role As an ML Platform Engineer at Stitch Fix, you will play a key role in building and maintaining the critical infrastructure that powers machine learning and AI across our organization. You will design, develop, and support scalable, resilient services and frameworks for ML model training and deployment, feature engineering and serving, candidate generation, AI agent deployment and observability, and other core platform capabilities. In this role, you'll contribute to the day-to-day operations of the ML Platform team, ensuring the smooth functioning of existing systems while driving improvements. You’ll collaborate closely with full-stack data scientists, offering consultation and support to help them unlock the full potential of our platform. With significant autonomy, you’ll have the opportunity to shape the future of ML and AI at Stitch Fix. Your ideas and expertise will drive improvements, codify best practices, and influence how we approach machine learning and AI systems at scale. Responsibilities: Collaborate with cross-functional teams, including data scientists, engineers, and business partners, to solve complex distributed systems and business challenges at scale. Be part of a team with high visibility across the organization, driving impactful solutions that make a difference. Share your ideas and help guide the team’s investments toward high-value opportunities. Foster a culture of technical collaboration and contribute to the development of scalable, resilient systems. About You You bring

About the Team The GTM Data Science team partners with Go-to-Market, Technical Success, Product, Engineering, RevOps, and Strategic Finance to build the shared intelligence layer for OpenAI's B2B business. The team turns product usage, customer behavior, revenue, field activity, and customer feedback into rigorous insight products that help leaders and field teams understand where customers are succeeding, where adoption is blocked, and what actions will accelerate durable growth. We are building systems that make customer intelligence proactive: surfacing risk, expansion potential, product gaps, and repeatable playbooks before they show up as escalations or missed opportunities. About the Role As the Applied Data Science & Insights Lead for GTM Intelligence Solutions and Technical Success, you will be a hands-on technical leader responsible for shaping how OpenAI measures, understands, and improves customer adoption across our B2B products. You will build AI/ML-powered intelligence products that connect account health, product usage, customer lifecycle, support tier, qualitative sentiment, commercial context, and field actions into a practical operating system for GTM and Technical Success. This role will build the data science foundation for Technical Success: defining the metrics, models, operating insights, and decision systems that help the team scale customer adoption and expansion with rigor. You will also be expected to build and lead a small mighty team over time: setting direction, hiring and developing talent, creating operating cadences, and holding a high bar for technical rigor and business impact. You will lead the development of models, metrics, and decision systems that recommend what GTM and Technical Success teams should do next, explain why, and measure whether those interventions worked. Your work will help customers move from pilots to production, deepen usage across products, identify high-value use cases, reduce churn risk, and create a f

NPI Mechanical Quality Engineer Description - As part of the Personal Systems Quality organization, the NPI Mechanical Quality Engineer drives product quality and reliability throughout the NPI product development lifecycle. This role partners with cross-functional teams to evaluate designs, identify and mitigate reliability risks, drive failure analysis and root cause investigations, and implement corrective actions that improve product quality and customer experience. This role provides technical leadership in reliability test development, mechanical design assessment, and Design for Quality and Reliability (DFX) initiatives to ensure high-quality products from concept through production. Strong mechanical engineering expertise, problem-solving skills, and team collaboration are essential for success in this role. *Onsite in Spring office is required 4-days a week Responsibilities: • Provides technical analysis of compute products during NPI Phase through RFQ design proposal reviews, CAD reviews, and DFX product tear downs. • Provides advanced failure analysis, root cause identification, and corrective/preventive actions for reliability concerns and/or issues during development, manufacturing, and field operations. • Proactively addresses customer requests or issues related to mechanical reliability, ensuring timely resolution while liaising with the relevant stakeholders. • Provides consultation to product development architecture teams regarding material component selection, design risk assessment, and associated reliability test plans. • Provides NUD (new, unique, difficult) risk mitigation and test plan development and develops issue prevention. • Actively mentors less-experienced engineers in the field of mechanical reliability and contributes to their growth in the organization. Education & Expe

Become a part of our caring community The Talent Programs Coordinator-Variable Staffing Pool (VSP) supports the successful delivery of leadership development programs through exceptional coordination, logistics management, stakeholder support, and operational execution. You will ensure a seamless experience for participants, facilitators, and partners by managing program logistics, materials, technology, communications, and onsite execution. This is a growth-oriented, individual contributor role and is designed for someone who thrives in a fast-paced environment. You will have operational ownership and will design, deliver, and scale enterprise talent programs to learn and share how they work. While execution is core to the role, you will provide exposure to program strategy, data driven decision making, and process innovation. This role is part of the Variable Staffing Pool( VSP), which pays at an hourly rate. VSP Humana associates work part to full time hours based on business need. VSPs are not eligible for associate bonuses and receive limited benefits, which are effective upon hire. The hours for this role are generally aligned based on the associate and business task at hand. Key Responsibilities Program Coordination and Execution Coordinate logistics and operational activities for leadership development, talent, and early in career learning programs. Manage multiple programs, cohorts, timelines, and deliverables simultaneously. Develop and maintain project plans, checklists, schedules, and run-of-show documents to ensure flawless execution. Logistics, Materials & Vendor Management Coordinate program materials, printing, inventory, shipping, and supply management. Manage relationships and logistics with facilities, catering, venues, AV teams, and other partners. Ensure meeti

About the Team: OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. Role Overview We are seeking a Package Reliability Engineer to lead reliability engineering for advanced packages used in high-performance AI and computing systems. The primary focus of this role is to assess package level mechanical and thermal reliability risks and apply thermal and mechanical modeling to optimize package design, material selection, and assembly processes. The engineer will also develop reliability test plans with external partners, identify failure mechanisms, perform root-cause analysis, and recommend practical corrective actions. In this role, you will assess package reliability risks from early architecture development through product qualification and high-volume manufacturing. You will work closely with package design, silicon design, system engineering, manufacturing, and ASIC partners to predict package behavior, develop qualification strategies, resolve reliability issues, and improve overall package robustness and lifetime. In this role you will: Lead reliability test plan and assessments for advanced HPC packages, including risk identification, potential failure-mechanism analysis, root-cause investigation, mitigation planning, and corrective-action development. Drive reliability-focused package design optimization based on thermo-mechanical modeling to improve package reliability, power integrity, thermal performance, mechanical robustness, and platform scalability. Develop, validate, and apply package reliability models and lifetime-prediction

Job Details: Job Description: The Advanced Packaging Technology Development (APTD) Substrate and Wafer Assembly organization is responsible for developing cutting edge substrate packaging and wafer assembly solutions for our customers. As a member of the Substrate Technology and Manufacturing Group, you will play a critical role in enabling new manufacturing capacity across advanced packaging suppliers. In this position, you will lead substrate supplier development and qualification activities for advanced technologies such as high density FCBGA, EMIB-T and glass core substrate, ensuring suppliers achieve the required readiness to support growing customer demand. This includes driving technical enablement, managing readiness milestones, and collaborating closely with cross functional engineering teams and supplier partners. A combination of detail-oriented project management, strong technical risk assessment / problem solving skills, and effective supplier / stakeholder management will be needed to be successful. Please note: This role requires periodic evening meetings with suppliers in East Asia, as well as occasional travel to supplier sites to support essential program objectives. Key Responsibilities Define process integration roadmaps and establish manufacturing procedures to meet technology transfer milestones. Extract insights from structured and unstructured data, applying statistical analysis and coding techniques for yield improvement. Lead low yield analysis and corrective actions to address quality excursions in high-volume production environments. Drive continuous improvement initiatives to minimize defects and optimize process reliability. Assess quality and reliability risks for manufacturing material and process changes, ensuring sustained product performance. C

Role Summary The Director, Consumer Products & Surfaces leads the product-specific strategy, development, and delivery of Pfizer’s branded and select unbranded digital properties. This individual will act as the product lead for all branded websites and owns the product execution of how brand content connects to the external surfaces where patients and consumers increasingly encounter it — search, AI assistants and answer engines, and syndication partners. This is an individual contributor role for someone who can think in big-picture product strategy and drive hands-on execution. Working from the business case and strategy set by the Ecosystem Strategy team, the Director defines what branded surfaces should become as content consumption shifts from destinations to sources and delivers the roadmap that gets them there. Role Responsibilities Product Strategy & Definition Leads branded website development end-to-end, determining what a successful branded experience looks like and how it is measured. Decide which features and capabilities branded surfaces should prioritize, translating the ecosystem strategy, business case, consumer insight, and performance data into a coherent roadmap. Translate the ecosystem strategy for branded and unbranded surfaces into product decisions, partnering with Ecosystem Strategy on roles, audience handoffs, and journey logic across properties. Own the product execution of brand content connectivity to external surfaces — the content structures, infrastructure, and integrations that make branded content machine-readable and discoverable — partnering with Strategy on which surfaces to prioritize and the portfolio posture toward each. Champion human-centered design methodology to ensure product decisions are grounded in real consumer needs rather than assumption or internal preference. Produc

About the Team OpenAI is building the world’s most advanced AI infrastructure ecosystem. The Site Readiness & Development team owns the upstream diligence and development work required to convert powered-land opportunities into executable infrastructure options. About the Role The Site Selection Lead sets the site-selection strategy for powered-land and greenfield/brownfield opportunities. This role defines, with cross-functional partners, what makes a site attractive, executable, and scalable, then turns that shared rubric into portfolio choices and deployment plans. Key Responsibilities Own the site-selection strategy across priority geographies, including market maps, pipeline segmentation, source refreshes, live-location tracking, and portfolio prioritization. Convene Power, Land, Development, Engineering, Construction, Environmental, Community, Commercial, Legal, and Finance partners to define the shared rubric for a high-quality site. Translate that rubric into clear screening criteria across power readiness, land control, timing, scale, cost, community risk, environmental constraints, AHJ path, budget, schedule, and counterparty credibility. Orchestrate Commercial, Legal, Finance, Power, and Development teams to shape exclusivity, initial terms, site-control strategy, funding assumptions, and the path to deployment before deeper commitment. Build a deployment plan for top candidates that identifies capacity, sequencing, capital implications, critical-path approvals, risks, owners, and stage-gate decisions. Lead conceptual site planning and test-fit screening using boundaries, map layers, buildings, substations, roads, parking, laydown, stormwater, utility corridors, acreage, and estimated load. Maintain a single decision-support view of pipeline stage, site health, power readiness, finance review, maps, project evidence, outstanding source data, owners, deadlines, and escalations. Present executive-ready advance, defer, or stop recommendations with clear

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 We're looking for an AI-native product growth lead to own Replit's entire paid acquisition and lifecycle marketing engine as the single DRI. This is an IC role for someone who builds systems, not just campaigns. Someone who uses AI and automation aggressively to do what traditionally requires an entire team. You don't need an engineering background. You need the instinct to build: when you see a repetitive task, you reach for Replit or an API before you reach for a spreadsheet. You'll have data science and data engineering partners for infrastructure and modeling, and brand marketing will set creative direction. Your job is to turn that direction into a closed-loop optimization system: a self-improving system that turns performance data into better creative, optimizes spend across channels in near-real-time, and compounds every insight so nothing learned is ever lost. Each cycle, the system gets smarter. That's the engine you'll build and own. The ideal candidate has deep channel expertise across paid search, paid social, and lifecycle, but their real edge is building AI-powered workflows that scale creative production, automate measurement, and compound institutional knowledge. You Will Own full-funnel performance marketing across paid search & social, ASO, and lifecycle Build a self-improving creative engine: AI-driven ad generation, testing, and iteration that scales without scaling headcount Maintain a persistent knowledge layer so every experiment, result, and creative insight compounds automatically into the next cycle Own conversion signal quality end-to-end: right events, right audiences, right attribution, partnering with DE on the infrastructure Run a structured experimentation program wher

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. Replit is changing who gets to build software. What started as a platform for developers has become an AI-powered creation platform where individuals, and teams can turn ideas into working apps, internal tools, dashboards, workflows, and websites faster than ever before. The company has had a fair amount of success with the outside world and in customer traction, particularly on the enterprise. We are looking for a PR Lead to help tell that story to the audiences that matter most: CIOs, CISOs, CFOs, business leaders, developers, analysts, partners, customers, and the press. This role will own communications for Replit’s marketplace, customer momentum, and business adoption. You will help position Replit as the AI platform that gives every team in an organization the ability to build, ship, and solve problems securely, without waiting months for traditional software cycles. The work will span the full range of communications: product launches, partnership announcements, customer stories, competitive positioning, analyst engagement, executive visibility, conference moments, speeches, thought leadership, vertical storytelling, and proof points that show how enterprises are using Replit to move from idea to production. You will work closely with Replit’s sales, partnership, marketing and leadership teams to shape narratives that resonate with both technical and business audiences. The right candidate understands the technology landscape and can operate comfortably across media, analysts, influencers, customers, partners, and internal teams. They should be able to explain why Replit matters in a world where AI is changing how software gets built and have the ability to change and evolve fast given the competitive nature of

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. ** Please note that we're requiring in-office commitment. The team is based in Austin, TX -- remote is not an option** The Opportunity LibLab is is recently acquired by Postman but we’re an engineering company, by developers for developers. We provide a missing pillar of core internet infrastructure, and we hire people with a broad set of technical skills (and from a wide variety of backgrounds) to build that. We want people who are ready to take on some of the most challenging problems in the industry – from reliably handling millions of API requests per day, to architecting best-in class open-source SDKs and client libraries. What You’ll Do Design, develop, and maintain software using modern languages. Collaborate with cross-functional teams to define, design, and ship new features. Troubleshoot and resolve complex technical issues across various programming languages and technologies. Engage with customers to gather feedback, understand their needs, and provide technical support when required. Mentor and guide other engineers, promoting best practices in software development. Participate in code reviews to ensure high