What we’re doing isn’t easy, but nothing worth doing ever is. Diligent builds helpful robots that work safely and autonomously in real world environments. We move quickly, solve messy problems, and care deeply about reliability at scale. As a Fleet Engineer, you'll own the reliability and continuous improvement of our deployed robotic fleet — leading hands-on investigations into how and why robots fail in the field, across the mobile base, charging/docking, motion and power, connectivity (modem), and sensor hardware. You'll combine remote data analysis with bench/lab failure analysis at our Austin HQ, turning field-technician reports and fleet data into clear problem statements, validated root causes, and corrective actions driven to closure with engineering, operations, manufacturing, and vendors. We are hiring a Lead Engineer, Issue Management & Triage to lead the systems, tooling, and team at the intersection of our Customers, Remote Operations Center (ROC), and Engineering. This is a highly technical, hands-on role focused on building the infrastructure that powers how we detect, triage, diagnose, and resolve issues across a deployed robotic fleet. You will work deeply with Engineering teams to design classification frameworks, build internal tools, and develop automation pipelines that improve reliability at scale. Location: Austin preferred, Remote possible (U.S.) Travel: if remote up to ~50% travel to Austin, TX (especially in the your first 90 days) What You’ll Do: Own Issue Management & Triage Systems Design and own end-to-end systems for issue intake, triage, and escalation. Define severity frameworks, SLAs, and ensure issues are consistently structured for engineering prioritization. Build Tools & Automation (Hands-On) Develop automation and pipelines to ingest, process, and classify operational data, reducing manual triage effort. Contribute directly to codebases (Python, backend services) and partner with Engineer
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Hyliion is committed to creating innovative solutions that enable clean, flexible and affordable electricity production. The Company’s primary focus is to develop distributed power generators that can operate on various fuel sources to future-proof against an ever-changing energy economy. Job Purpose The Advanced Engineer, Power System Controls plays a key role in the design, development, and implementation of control software for Hyliion’s Karno Power Module. This position focuses on systems involving combustion, thermal management, pressure regulation, high-voltage, and power management. The engineer will be responsible for developing and validating control algorithms, tuning system parameters, and analyzing data to ensure performance meets engineering specifications. Additional responsibilities include preparing technical documentation, supporting root cause analysis, and ensuring timely, high-quality software delivery. The role requires cross-functional collaboration and occasional travel to support system testing and troubleshooting. Duties and Responsibilities Design, develop, and implement high-quality control software for Hyliion’s Karno Power Module, which includes combustion, thermal, pressure, high-voltage and power management systems. Define and conduct tests to verify software and tune control parameters to meet key performance indicators. Prepare reports and technical documentation related to system performance, control strategies, and compliance. Process and analyze data to verify software against engineering specifications, support root cause analysis and for optimizing performance. Ensure on time delivery with quality. Assist product team in defining customer requirements and generate corresponding engineering specifications. Qualifications Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Qualifications include: Education, Experience and Cert
Join Truecaller – The place where innovation meets impact! Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out: We are trusted by over 500 million active users every month across 190+ countries We identify over 15 billion calls daily, helping users avoid spam and scams We are powered by a team of 400+ employees from 45+ nationalities We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in. The role: As a Senior Software Engineer, Backend, you will leverage your deep technical expertise to ensure alignment, quality, and long-term maintainability across the organization. You will be building strong relationships with cross-functional stakeholders, you will drive project delivery, and ensure our backend infrastructure remains scalable and robust enough to support millions of users worldwide. What you will do Design and develop high-volume, low-latency services and cope with the challenge of working in a distributed environment. Operate mission-critical services at high availability. Collaborate across business units and drive solutions. Explore new solutions and technologies. Build a scalable and reliable system. What you bring in: 5+ years of experience with Scala, Java, or Go Experience of working with scalable, highly available, real-time distributed systems Experience of working with non-relational databases Good understanding of data structures and algorithms Mentoring/ Leadership skills Excellent communication skills in English. Ability to thrive in a dynamic, fast-paced environment. It would be great if you also have
About Us Pearl is AI for professional services at global scale, combining advanced AI with verified human expertise to deliver help that is accurate, accountable, and fast. Since 2003, our network has connected millions of customers with licensed professionals across 196 countries, making real expertise available anytime, anywhere. Our Values Data driven: Start with truth, measure what matters. Courageous: Bias to action; run toward hard problems. Innovative: Seek novel, elegant solutions. Lean: Do more with less. Build, ship, learn fast. Humble: Strong opinions, lightly held. About the Role As a Software Engineer on the Quality team, you will help build, maintain, and improve business-critical systems that support Pearl’s core business and the future of B2P migration efforts. This role is ideal for a full-stack engineer who enjoys working across both front-end and back-end development, solving complex technical problems, and collaborating closely with product and business stakeholders to shape practical solutions. You’ll contribute to new feature development, improve existing systems, and help strengthen engineering practices within the team. This is a strong opportunity for an engineer who is eager to grow long-term, work on high-visibility initiatives, and contribute to systems that directly impact important business operations. What You’ll Do Design, develop, maintain, and enhance reliable, scalable software across front-end and back-end systems. Build user-facing features and the back-end services that support them. Partner with product and business stakeholders to clarify requirements and develop effective technical solutions. Contribute to business-critical initiatives, including B2P migration efforts and improvements to core operational systems. Write clean, maintainable, and well-tested code that supports overall system quality and reliability. Use SQL and application data flows to support functionality, troubleshoot issues, and improve system
About Us Pearl is AI for professional services at global scale, combining advanced AI with verified human expertise to deliver help that is accurate, accountable, and fast. Since 2003, our network has connected millions of customers with licensed professionals across 196 countries, making real expertise available anytime, anywhere. Our Values Data driven: Start with truth, measure what matters. Courageous: Bias to action; run toward hard problems. Innovative: Seek novel, elegant solutions. Lean: Do more with less. Build, ship, learn fast. Humble: Strong opinions, lightly held. About the Role As a Senior Full-Stack Engineer in the Machine Learning department, you will help build and scale product capabilities focused on AI-enabled experiences, experimentation, and optimization. This is a full-stack role for an engineer who is comfortable owning work across the stack while spending most of their time on backend development. You will contribute to initiatives related to personalization, intake experiences, and AI-powered product improvements, while partnering closely with adjacent teams to deliver practical, production-ready solutions. This role is a strong fit for someone who enjoys combining traditional software engineering with modern AI workflows and wants to work on systems that evolve through real-world usage and iteration. What You’ll Do Build backend-heavy full-stack solutions that support Javelin team initiatives Contribute to frontend development as needed to deliver end-to-end product functionality Work on LLM- and AI agent-related application features and integrations Help support and extend self-optimization capabilities connected to the intake bot and related workflows Collaborate with cross-functional partners and adjacent engineering teams on shared initiatives Practice specification-driven engineering, translating requirements into clear, well-scoped specs before and during implementation Write maintainable, production-quality code and contribute to st
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 As an Escalation Engineer on our FlashBlade team, you will serve as the premier technical authority driving customer trust and operational stability across complex, enterprise-scale storage environments . You will collaborate closely with front-line Support, Engineering, and product leaders to rapidly resolve high-impact technical challenges and transform complex system failures into long-term product reliability. By bridging real-world customer insights with engineering solutions, you will elevate team performance and ensure our enterprise customers achieve flawless platform availability. WHAT YOU'LL DO Drive High-Stakes Escalation Resolution: Take end-to-end ownership of critical, multi-platform system issues—evaluating hardware, software, networking, and environmental factors—to rapidly restore service, perform root-cause analysis, and protect customer business continuity. Elevate Engineering Talent & Knowledge: Mentor and coach support team members through joint case triage, structured technical trainings, and internal documentation, accelerating technical capabilities and resolution velocity across the organization. Bridge Product Engineering & Customer Insights: Partner directly with Product Engineering to relay real-world system behavior, ensuring critical customer feedback, feature enhancements, and bug fixes trickle back into core product design. Lead Strategic Customer Communications: Facilitate
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 As an Escalation Engineer on our FlashBlade team, you will serve as the premier technical authority driving customer trust and operational stability across complex, enterprise-scale storage environments . You will collaborate closely with front-line Support, Engineering, and product leaders to rapidly resolve high-impact technical challenges and transform complex system failures into long-term product reliability. By bridging real-world customer insights with engineering solutions, you will elevate team performance and ensure our enterprise customers achieve flawless platform availability. WHAT YOU'LL DO Drive High-Stakes Escalation Resolution: Take end-to-end ownership of critical, multi-platform system issues—evaluating hardware, software, networking, and environmental factors—to rapidly restore service, perform root-cause analysis, and protect customer business continuity. Elevate Engineering Talent & Knowledge: Mentor and coach support team members through joint case triage, structured technical trainings, and internal documentation, accelerating technical capabilities and resolution velocity across the organization. Bridge Product Engineering & Customer Insights: Partner directly with Product Engineering to relay real-world system behavior, ensuring critical customer feedback, feature enhancements, and bug fixes trickle back into core product design. Lead Strategic Customer Communications: Facilitate
Amplitude is the leading AI analytics platform, helping over 4,700 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2’s Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com . As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do. Amplitude’s Commitment to Diversity Equity & Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive. Software Engineer II, Growth at Amplitude (View all jobs) San Francisco Bay Area About The Role & Team The Growth organization is focused on helping users realize long-term value from Amplitude. The team plays a critical role in that journey by driving expansion within existing accounts. Many of our customers start with just a few users — often in product or data teams. Our job is to unlock value for everyone else. We build features that help new users set up, get activated, leverage AI for frictionless insights, highlight relevant parts of the product they might otherwise miss, and expand usage across teams and departments. This is especially impactful in large, complex organizations, where getting from the first few users to broad adoption is a multiplier for retention and revenue. We work across Amplitude’s core product suite and integrations,
The Opportunity This is a critical and exciting time at Enigma. Our customers consistently tell us that our data products create tremendous value and are deeply aligned with their most important workflows. As demand grows, we have an urgent opportunity to improve both the intelligence of our data and the systems through which customers access it. We are looking for an experienced Senior/Staff Machine Learning Engineer to join our Match Team and help shape the next generation of Enigma’s customer-facing data products. In this role, you will combine advanced statistical and machine learning research with the engineering systems required to power fast, relevant, and reliable search experiences at scale. This is a uniquely high-impact role sitting at the intersection of information retrieval, ranking systems, semantic search, distributed systems, and customer data delivery. The Role At the core of Enigma’s product is our data, which makes both data science and delivery systems central to what we build. As a Senior/Staff ML Engineer on the Match Team, you will lead efforts that improve the relevance, latency, and scalability of our customer-facing data products. You’ll work across the full lifecycle: framing retrieval and ranking problems, developing models and experimentation strategies, evaluating results using real-world signals, and implementing high-throughput search and retrieval systems. This role is ideal for someone who is excited by both hard ranking/search problems and the systems challenges of turning those solutions into low-latency, production-grade retrieval systems. What You'll Do Develop innovative solutions to complex problems in information retrieval, ranking, semantic search, query understanding, and recommendation systems Build and optimize low-latency, high-throughput search APIs, indexing pipelines, and retrieval systems using Python, Typesense, and AWS Evaluate and evolve our search technology stack, driving technical design decisions across index
The Opportunity Join Enigma's Growth & KYB Team at a pivotal moment as we continue to create sales and marketing solutions for small businesses. We're seeking an experienced Senior Software Engineer to develop and build innovative data products and systems that directly impact our customers and accelerate our growth. Your work will influence decisions for companies that employ half the U.S. workforce, creating tremendous value for our clients. The Role As a member of the Growth & KYB Team, you will: Design, develop and deliver data products that solve critical customer pain points and build scalable, high-quality systems that deliver rich interactions with our data. Engage with software engineers, data scientists, and product managers to create experiences that move a customer from discovery to evaluation to purchase. Analyze and extract value from data at scale, building efficient, maintainable production-grade data solutions. Create scalable and highly maintainable systems deployed in cloud environments. Own architecture and design decisions as well as hands-on implementation, ensuring that customer experiences are compelling and have low costs of ownership. What You’ll Do Operates with a bias for action and knows how to deliver value in the short, medium, and long term. Loves interacting with product teams and works hard to solve customer problems in a repeatable way. Adopts a principled, metrics-driven approach to difficult data problems and demonstrates excellence in their analytics and engineering craft. Operates transparently, collaboratively, and with low ego—loves learning from others and having their ideas questioned and challenged. Has a “can-do” attitude and thrives on a highly collaborative, cross-functional team that plays a critical role in the company’s success. Is eager to own architecture and design decisions as well as hands-on implementation. What Makes This Role Exciting? Impact : Develop products that take an innovative data-first appro
Location: San Francisco, CA (Remote/Hybrid Available) What is Verse? The race to AI has become the race to power. Every breakthrough in artificial intelligence depends on one thing: access to electricity. But across the country, aging grid infrastructure and years-long interconnection queues are slowing the deployment of the data centers that will power the next generation of innovation. Solving this challenge isn't just about energy—it's about unlocking the future of AI. At Verse, we're building the energy intelligence platform for the AI economy. Our software helps the world's largest energy consumers achieve faster, cheaper, and cleaner power by combining real-time control of energy assets with complete visibility into their energy portfolio. Backed by Bessemer Venture Partners, GV, Coatue, and NVIDIA, and built by pioneers in grid-scale batteries, energy markets, and enterprise software, we're redefining how the world's most ambitious organizations access and manage energy. The Role As a Software Engineer focusing on Distributed Systems at Verse, you will work in collaboration with some of the brightest industry experts in the field building cloud-native applications that scale to trillions of data points collected from electricity markets globally. You will be a part of a dynamic, robust team primarily supporting the backend needs of our Aria software product spanning hundreds of data sources, sinks, services, and jobs. Your expertise will not only have a direct impact on product decisions, but you also be well-positioned to drive the development and trajectory of our entire platform and infrastructure and influence important architectural decisions that affect the whole organization. Key Responsibilities Foster a culture and mindset of well-designed systems, test-driven software, and transparent communication with a high caliber of mutual respect and consideration for stakeholders Read and write a lot of Go, Python, and Protobuf Build, test, debug, maint
Location: San Francisco, CA (Remote/Hybrid Available) What is Verse? The race to AI has become the race to power. Every breakthrough in artificial intelligence depends on one thing: access to electricity. But across the country, aging grid infrastructure and years-long interconnection queues are slowing the deployment of the data centers that will power the next generation of innovation. Solving this challenge isn't just about energy—it's about unlocking the future of AI. At Verse, we're building the energy intelligence platform for the AI economy. Our software helps the world's largest energy consumers achieve faster, cheaper, and cleaner power by combining real-time control of energy assets with complete visibility into their energy portfolio. Backed by Bessemer Venture Partners, GV, Coatue, and NVIDIA, and built by pioneers in grid-scale batteries, energy markets, and enterprise software, we're redefining how the world's most ambitious organizations access and manage energy. The Role You will be a member of the technical staff developing product experiences for our Dispatch Intelligence users – customers who want and have battery energy storage systems for additional energy cost savings or faster interconnection times. In this role, you will serve in a “full stack” capacity designing, building, and maintaining frontend and backend components of our energy storage suite of applications. We use Typescript, React, Next.js, Tailwind CSS, Radix/ShadCN, Jest, Cypress, Playwright, Vitest, and Storybook with Echarts and D3/Observable for data visualization for our frontend, and Cloudflare Pages for hosting and content delivery. We rely on identity and auth platforms like Clerk for sign-in flows. Our backend is written in Go and Python with Postgres/AlloyDB and blob storage for data persistence. Key Responsibilities Foster a culture and mindset of well-designed systems, test-driven software, and proactive communication with a high degree of transparency, mutual resp
Role Purpose: At Jumio, you will work for one of the market leaders in the global identity verification space that is helping to make the digital world a safer place for everyone. As a Software Development Engineer in the MLOpsTeam, you will develop the blueprint for highly scalable and performant ML model serving. Role Value: As a Software Engineer (SDE III), you will drive the continuous improvement of the infrastructure and applications to manage the lifecycle of ML assets (data, models) to better developer experience and strengthen governance capabilities. Secondly, you will design and implement robust ML infrastructure for model deployment, serving, and optimization. You will work on efficient CI/CD pipelines for ML models and leverage advanced compilers or hardware optimization to maximize inference performance while optimizing costs. We welcome you to challenge us to impact our software development processes and tools. Example Responsibilities: Upgrade ML assets (models, data) management systems for better developer experience and robust governance capabilities Build and optimize model serving infrastructure with a focus on inference latency and cost optimization Architect efficient inference pipelines that balance latency, throughput, and cost across various acceleration options Implement cost-efficient, enterprise-scale solutions Collaborate in a cross-functional, distributed team for continuous system improvement Work with MLEs, QA Engineers, and DevOps Engineers Evaluate and implement new technologies and tools Contribute to architectural decisions for distributed ML systems Experience and Qualifications : 5+ years of experience in software engineering with Python Experience with model lifecycle management (MLFlow, Weights & Biases or equivalent) Experience with data management ecosystem (quality, transformation, catalog) Experience with ML frameworks, particularly PyTorch Experience optimizing ML models with hardwar
About Us Oliv.AI is a SalesTech global startup headquartered in San Francisco, debuting the world's first team of AI Agents for sales. With our recent $5.2M Seed funding, we solve one of the biggest problems for revenue teams: unreliable deal data. Oliv captures Deal Intelligence from every meeting, call, and email—without any rep involvement. The result is a clear, detailed view of every deal, presented in scorecards built on trusted sales methodologies like MEDDICC, BANT, and SPICED. Our AI agents are built for sales teams—sales managers, AEs, and RevOps—handling the work that takes them away from selling. With Oliv AI, sales teams can bring back focus on deals, strategy and conversation. The role This is not a traditional marketing role, and it is not a pure engineering role either. You will decide which accounts matter, build the systems that research them, write the content that reaches them, build the partnerships that amplify it, and turn all of that into qualified pipeline. Two things have to be true about you at once. You are technically sharp enough to build your own workflows, wire up your own APIs, and ship a working system without waiting on engineering or anyone else. Nothing you own should be blocked on a single person, including us. And you are obsessed with distribution — content, syndication, social, and partnerships — because pipeline goes to whoever the buyer already trusts. That means newsletters, communities, podcasts, comparison pages, partner audiences, and the people who influence them. What you will own GTM strategy and experimentation Develop and continuously refine Oliv's ICP, market segments, buyer personas, and account-selection criteria. Translate company goals into specific growth hypotheses and campaign plans. Identify new audiences, buying signals, use cases, and distribution opportunities. Build a structured experimentation roadmap across content, social, syndication, partnerships, outbound, and ABM. Define success metric
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange™️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Senior Sales Engineer to join our South Majors team. This role is based in Texas, reporting to the Senior Sales Engineering Manager for the Americas Field Sales team. You will be responsible for architecting technical solutions that directly address and resolve critical customer pain points. You will serve as a technical advisor throughout the sales cycle, ensuring that Zscaler solutions are perfectly aligned with customer goals and technical requirements. You will be responsible for architecting technical solutions that directly address and resolve critical customer pain points. Creating and delivering technical product presentations to prospective customers where you will promote the value proposition of Zscaler products Gathering customer technical requirements to ensure proposed solutions will meet customer goals and needs Leading product evaluations and custom product configurations Running
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