Production Scheduler Enhancement Engineer Jobs

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Identity Governance and Access Security Team The Identity Governance and Access Security team runs Identity Governance and Administration (IGA), Privileged Access Management (PAM), and Identity Security Posture Management (ISPM) for Okta itself — serving as Okta's "Customer Zero." The team owns the complete identity lifecycle for the workforce, from birthright provisioning through Workday to access certifications, privileged access management, and mover/leaver processes. What the team builds becomes the reference architecture that Okta customers deploy at scale. The Staff Identity Security Engineer Opportunity We're looking for a Staff Identity Security Engineer to take deep technical ownership of our Okta Identity Governance (OIG), Okta Privileged Access (OPA), and ISPM implementations. This is a senior individual-contributor role where you'll set technical direction for how the team builds on top of these platforms and raise the bar for the engineering team through review, mentorship, and documentation. You should be equally comfortable in an architecture discussion, in a live Okta Workflows debugging session, and writing the design doc that a Jira epic gets broken down from. The ideal candidate is a self-starter who thrives in an autonomous environment and actively drives "what's next" for our identity security posture — identifying process bottlenecks, designing technical solutions, and pushing initiatives from concept to production without waiting

About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Role The Embedded Software team is looking for a Frontier UX Engineer to build the software that turns design intent into interfaces people can pick up and use. You will work closely with Design, taking ideas, use cases, and specifications from early prototype through a world class shipped product, pushing the UI experience to its limit. Much of the work has no precedent, requiring comfort with unclear requirements and problems that cross design and several software layers. We care a lot about how the product feels to use, and we want someone who shares that mindset. Responsibilities Turn design specifications, use cases, and rough ideas into shipping interfaces, from early prototype through production on real hardware Own execution: take a prototype the whole way to something that ships, with the quality bar held at each step Find where the design language outruns the platform, and push the UI software at every layer needed to close the distance Advise designers on what the system is actually capable of, early enough for it to change the design Shape the UI runtime and system architecture with requirements drawn from real designs rather than hypotheticals Own the end-to-end development of user experiences alongside design, firmware, and hardw

We are hiring a Security Software Engineer to design and implement the hardware-backed security foundations used across OpenAI’s device ecosystem. A central focus of this role is hardening the boundary between our policy systems and the HSMs that protect sensitive cryptographic keys. This boundary determines which operations may be performed, what may be signed, which policies must be satisfied, and how changes to trusted software and policy are authorized. You will develop security-critical software and firmware within, or immediately adjacent to, an HSM trust boundary. Depending on your background, this may include HSM trusted applications, firmware services, cryptographic mechanisms, device drivers, PKCS#11 components, secure-provisioning protocols, or signing-policy enforcement systems. This is a hands-on software-engineering role. You will be expected to design systems, write and review production code, debug across hardware and software boundaries, and carry projects from initial requirements through deployment. It is not an HSM administration, PKI operations, compliance, or architecture-only position. In This Role, You Will Design and implement security-critical software and firmware for HSMs, secure elements, trusted execution environments, and hardware roots of trust. Build and harden the policy-to-HSM boundary responsible for authorizing certificate issuance and cryptographic signing operations. Develop HSM trusted applications, firmware components, host interfaces, device drivers, SDKs, or cryptographic service integrations. Implement or extend cryptographic interfaces such as PKCS#11, OpenSSL providers or engines, platform key-storage APIs, or comparable hardware-security interfaces. Build firmware and software that cryptographically enforces key generation, provisioning, usage, rotation, recovery, and destruction policies. Design and implement HSM-backed certificate authority, code-signing, key-management, and device-identity systems. Develop end-to-end

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team Read more about the research team's work here: https://decagon.ai/blog/introducing-decagon-labs The Research team develops the model and decision-making stack that powers Decagon’s conversational agents for enterprise support. We research, adapt, and implement state-of-the-art techniques in model training, prompting, orchestration, and evaluation in order to make our agents more accurate, robust, and efficient in real-world deployments. Our goal is to push the frontier of applied conversational AI: agents that reliably understand nuanced intent, track long context, and take the right actions under uncertainty. We measure success the way customers feel it: higher resolution rates, better user satisfaction, and consistent behavior at scale. About the Role As a Research Engineer focused on Safety, you’ll be responsible for making Decagon’s AI agents safe, reliable, and controllable, from evaluation through production. You’ll identify real-world failure modes and build the models, evalua

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team Read more about the research team's work here: https://decagon.ai/blog/introducing-decagon-labs The Research team develops the model and decision-making stack that powers Decagon’s conversational agents for enterprise support. We research, adapt, and implement state-of-the-art techniques in model training, prompting, orchestration, and evaluation in order to make our agents more accurate, robust, and efficient in real-world deployments. Our goal is to push the frontier of applied conversational AI: agents that reliably understand nuanced intent, track long context, and take the right actions under uncertainty. We measure success the way customers feel it: higher resolution rates, better user satisfaction, and consistent behavior at scale. About the Role As a Research Engineer focused on Safety, you’ll be responsible for making Decagon’s AI agents safe, reliable, and controllable, from evaluation through production. You’ll identify real-world failure modes and build the models, evalua

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Coinbase is building the future of institutional trading as part of the Everything Exchange, powering the systems that let the world's largest financial institutions trade across markets with speed, depth, and trust. As a Senior Data Engineer, Market Data on the Institutional Markets team, you'll build and operate the systems that capture, normalize, and distribute real-time market data across Coinbase at low latency - the feed handlers, venue connectors, and distribution layer that form the backbone of a unified trading platform. What you'll do: Build and maintain market data components including feed handlers, normalization pipelines, distribution systems, and venue connectivity. Design and implement low-latency, high-throughput services for real-time market data consumed by trading systems across the platform. Drive reliability and performance improvements through observability, on-call participation, and incident response. Write high-quality, well-tested code and contribute to engineering standards on a lean team. Partner with engineers, product managers, and cross-functional stakeholders to deliver market data capabilities that support Coinbase's institutional trading roadmap. Required Skills and Experience: 3+ years of backend engineering experience building and maintaining production low-latency systems. Hands-on experience with at least one area of market dat

Zafin is an AI platform company helping regulated institutions modernize how critical work is designed, governed, and delivered. Our technology enables organizations to move faster while maintaining the governance, accountability, and control required in highly regulated environments. Our portfolio includes Zafin AIOS , an agent orchestration platform for governed AI work; the Zafin Banking Platform , which helps banks modernize product, pricing, offers, billing, loyalty, and relationship management; and Zafin IO , an integration platform that connects data, systems, and workflows across complex enterprise environments. Headquartered in Toronto, Canada, Zafin partners with leading financial institutions across North America, Europe, the Middle East, Africa, and Asia-Pacific. As AI transforms the future of financial services, we're building the platforms that help regulated organizations adopt AI responsibly and at scale. What is the opportunity? As a Technical Consultant III , you will be responsible for designing, configuring, developing, and implementing Zafin SaaS solutions for financial institutions. You will translate banking, product, pricing, billing, workflow, integration, and data requirements into scalable technical solutions that support successful client implementations. You will work across implementation planning, solution design, configuration, development, integration, testing, deployment readiness, troubleshooting, production support, and continuous improvement. At the Technical Consultant III level, you will also provide hands-on technical direction, mentor junior team members, support client-facing decisions, and help ensure delivery of quality, maintainability, security, auditability, and operational readiness. What will you do? Deliver implementation of workstreams across product, pricing, billing, offers, eligibility, approvals, reporting, integrations, automation, and related platform capabilities. Translate client requirements into solution a

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. About The role As a Vulnerability Management Engineer, you will support the identification, assessment, prioritization, and remediation of vulnerabilities across applications and infrastructure. Working under the guidance of senior team members, you will assist in understanding how vulnerable dependencies enter an application, identifying remediation options, and engaging with engineering teams to track fixes. You will contribute to the maintenance of internal vulnerability-management tools, such as scripts, documentation, and reporting. The ideal candidate will have a desire to grow their AppSec expertise, will be eager to learn about modern security tooling and automation, and will be comfortable using AI tools like Claude to assist with documentation, investigation, and scripting tasks while following company security and data-handling requirements. What you’ll do Perform regular vulnerability assessments using different tools. Regularly drive remediation and reporting of cataloged vulnerabilities. Assess discovered vulnerabilities and properly prioritize their scope, impact and necessary response actions. Conduct security reviews of our products and production infrastructure. Contribute to vulnerability management, application security and/or offensive/red-team operations. Engage in security audit

About the Team The Marketing team helps OpenAI bring products, research, and company priorities to the world with clarity, creativity, and impact. We partner across Product, Research, Design, Creative, Communications, Finance, Legal, and Go-to-Market teams to translate complex technology into work that people can understand, trust, and use. Marketing Strategy & Operations builds the operating systems that help this work move with focus and speed. We connect priorities to plans, plans to resourcing, and resourcing to execution, so teams can make better decisions earlier and stay aligned as priorities evolve. About the Role We’re looking for a Strategy & Operations Lead, Hardware Marketing to help build and run the operating system for OpenAI’s Hardware Marketing work. This role will partner closely with Hardware Marketing leadership, Product Marketing, Product, Design, Creative, Production, Communications, Finance, Legal, and external partners to bring structure to a fast-moving, highly cross-functional product area. You will help the team clarify priorities, build plans, manage intake, track decisions, surface risks, frame tradeoffs, and keep critical workstreams moving from planning through operating readiness. This is a strong fit for someone who can operate independently in ambiguity, build practical systems from scratch, and move fluidly between strategy and execution. Experience with complex product launches or sensitive, cross-functional product areas is preferred. This role is based in San Francisco. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role, you will: Build and run the core operating rhythm for Hardware Marketing, including planning cycles, planning reviews, weekly priorities, decision forums, risk tracking, and leadership-ready updates. Partner with Hardware Marketing leadership to translate business and product priorities into clear workstreams, owners, milestones,

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Drive the strategic evolution of Everpure’s enterprise quote-to-cash ecosystem as a Senior Salesforce Developer. In this role, you will architect, build, and optimize complex Salesforce and Zuora Billing/CPQ solutions that accelerate our revenue operations and eliminate business bottlenecks. You will solve variable technical challenges, design robust APIs, and partner directly with cross-functional leaders in Finance, Sales Operations, and IT to deliver seamless subscription and billing processes. WHAT YOU'LL DO Architect Scalable Quote-to-Cash Workflows: Design, code, and deploy custom Apex, Lightning Web Components, and automated flows on the Everpure Platform to optimize quote creation, product rate plans, subscriptions, and billing renewals. Drive Strategic Enterprise Integrations: Build and maintain high-performance REST/SOAP API integrations and AppExchange connections between Salesforce, Zuora, and enterprise systems to ensure fault-tolerant data synchronization and security. Optimize Operational Efficiency & System Health: Identify process bottlenecks, perform root-cause debugging, monitor performance metrics, and participate in production support to ensure high availability and seamless data integrity across ecosystem solutions. Lead Modern Engineering Practices: Establish best practices for change management, GitHub version control, deployment pipelines, and the utilization of AI-assisted coding tool

Job Title: ML Annotation QA Engineer About Us Are you ready to build the future of supply chain? At Gather AI, we’re not just creating software, we’re pioneering a new era of warehouse intelligence. We’ve developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining "on-time, in full" delivery. If you’re looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We’re leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time. About the Team Our engineering organization spans autonomy, computer vision and machine learning, embedded and hardware systems, full-stack, and cloud, all working in parallel across multiple active product lines tied to live customer deployments. It’s a technically deep, fast-moving team where individual contributors carry real accountability and the work shows up directly in customer operations. Ground truth quality sits at the centre of that — the annotated data this role owns is what our models are trained and measured against. About the Role We are looking for an ML Annotation QA Engineer to own the quality of annotated data across our computer vision and machine learning programs. This role is responsible for the judgment-heavy analysis that cannot be reliably outsourced, for the decision rules behind it, and for turning annotation output into an ongoing read on how our systems are actually performing in the field. We work with an external annotation partner at production volume, and that continues. What we need in house is someone who can analyse the annotated data, make and defend the calls the v

We built Bubble with a clear mission: to empower everyone to create software. Our AI visual development platform lets anyone, from first-time entrepreneurs to enterprise teams, take an idea from prompt to fully-functional, scalable app across web, iOS, and Android. With over 6 million users in more than 100 countries, Bubble is breaking down the barriers to entrepreneurship and innovation worldwide. Our Product Bubble is the only fully visual AI app builder that lets you vibe code without the code to go beyond prototypes and launch real apps to real users. Chat with AI when you want speed, edit directly when you want control. Bubble's visual editor lets you fine-tune any detail, from the design to privacy rules and programming logic, so you're never stuck, even if AI hits its limits. Everything you need comes built in: a unified web and native mobile editor, enterprise-grade hosting, security, database management, and automatic scaling that grows with your business. You can build just about anything on Bubble, and our community is living proof. Mailead grew a $10K investment into a $2M valuation, and Faceless.video went from zero to $1M+ ARR in under a year. People aren't just launching products on Bubble, they're building real businesses. See how Bubble builders are shipping apps that change industries, solve problems, and shape the future here: Inspiring builders, breakthrough apps . Why Join Bubble Now? The rise of AI-generated software has validated everything Bubble has been building toward for over a decade. But pure AI-generated code is fragile, hard to debug, and rarely production-ready. Bubble bridges that gap, combining the speed of AI with a structured visual platform that produces stable, scalable, secure software. The people who join Bubble right now will help define what that means for millions of builders around the world. If you've ever wanted to work on something that genuinely changes who gets to build, this is your moment. About the team: Our Tech

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. Snowflake is building the data and AI platform for the agentic enterprise. Enterprise Apps & Agentic Systems is applying that same standard internally by redesigning business domains from first principles and turning high-value workflows into software-defined, AI-native products. We are hiring a Sr. Director to make Finance, OTC, Revenue, People, and Legal domains more agentic. This leader will own the product and engineering strategy across the portfolio, moving beyond application management to deliver intelligent products that understand context, act across systems, operate within guardrails, and involve people when judgment is required. This leader will work directly with business executives to identify the work that should be eliminated, redesigned, or delegated to software. They will build the teams, product model, technical foundations, and operating mechanisms needed to move quickly from opportunity to production and deliver measurable business impact CORE MISSION: Transform enterprise operations across Finance, People, and Legal by redesigning end-to-end workflows into AI-native products rather than adding incremental features to legacy apps. Combine domain expertise, enterprise data, workflow automation, autonomous agents, and controls into a coherent operating

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Manager, Solutions Consulting Readiness Lead the demo readiness engine that powers Appian's global field sales organization, owning the DemoHub platform, reusable asset catalog, and interactive demo experiences that accelerate enterprise deals. Location: Remote | Work Model: Remote About the Team You will lead the demo readiness function within the SPEAR team in Appian's Sales Solutions Consulting organization. This team owns the operating backbone that enables field consultants worldwide to deliver high-impact customer demonstrations at scale. Your work directly accelerates revenue by ensuring every Solutions Consultant has access to curated, production-ready demo assets, environments, and interactive experiences that showcase Appian's AI-Powered Process Automation capabilities. The Opportunity As enterprises accelerate digital transformation, the demand for compelling, tailored demonstrations has never been higher. This role exists to scale demo excellence across Appian's global field organization, ensuring every customer interaction is powered by best-in-class assets, tooling, and environments. You will shape how hundreds of Solutions Consultants demonstrate value to the world's largest enterprises, driving pipeline velocity and win rates through readiness innovation. What You’ll Do Own the full product lifecycle of Appian's internal DemoHub application, including roadmap prioritization, requirements definition, release quality, and adoption measurement across the global Solutions Consulting organization Manage and curate the reusable demo asset librar

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking a Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and data center environments. This role focuses on supporting hardware bring-up, validation, and troubleshooting of complex AI compute platforms, including server blades, racks, and rack-scale infrastructure. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems. The Team The Systems Engineering and Hardware Engineering teams are responsible for enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms. The team works closely with server engineering, firmware teams, platform architects, and data center operations to support the development, testing, and deployment of next-generation AI compute systems. This collaborative environment enables rapid problem-solving and continuous improvement of Graphcore’s hardware platforms from early development through production deployment.