Engineering Jobs

About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The AI team is focused on one of Stripe’s most strategic growth areas: enabling the monetization and scaling of AI-native and AI-enabled businesses. We’re in a unique position – partnering with the world’s most ambitious AI companies (the likes of OpenAI, Anthropic, NVIDIA, etc) building on the frontier of artificial intelligence -- across infrastructure, foundation models, agents, and applications -- to help them grow and commercialize globally using Stripe’s full financial stack. As part of Stripe’s GTM / Sales organization, this team works closely with Product, Engineering, and Marketing to shape Stripe’s AI GTM strategy and ensure that the world’s leading AI companies -- from early-stage innovators to the largest public players -- choose Stripe as their monetization platform. What you’ll do Work with existing Stripe customers in the AI Industry to develop and execute long-term sales strategies to expand Stripe’s revenue Own the full sales cycle, from business case development, to deal structuring and negotiating, to close Develop account plans and cross sell into your list of strategic AI customers, driving growth through expansion and new revenue streams Drive deal strategy and commercial negotiations for large, complex renewals Develop relationships with executive stakeholders within your book of business, deeply understanding problems they are solving and helping drive to solutions Be responsible for account mapping and coordinating ef

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit's growth is driving a rapid expansion of its world-wide team and the need for an experienced Senior Technical Program Manager to support the global sales organization through the next several stages of growth. This role will report into the Go-to-Market Strategy organization, and support our major Go-to-Market Systems initiatives. The Go-to-Market Systems team drives high impact projects that aim to build best-in-class tooling for our global sales organization, and enable seamless advertiser experiences. As a Sr. Product Manager on the Go-to-Market Systems team, your focus will be to build the foundations, tools and workflows that will accelerate the growth and efficiency of our GTM organization. You will own the vision, strategy and roadmap of sales technology projects that will drive organizational transformation for Reddit. You’ll collaborate with other GTM leaders, product leaders, data teams, and engineering to run ambiguous business problems into scalable solutions. Location : Must be based within a commutable distance of one of our hub offices in Los Angeles, San Francisco, Chicago, or New York Key Responsibilities Define and drive the product vision, roadmap and architecture for our sales teams focused on growing our advertiser base. Deeply understand problems faced by sellers and advertisers, and proactively identify opportunities to automate and improve the experience. Build best-in-class tools that improve seller productivity in areas such as account planning, custom

About the Role The Agents team investigates how to build, align, and scale frontier AI systems that can tackle complex, multi-step tasks and workflows across text and speech, with a particular focus on agentic and scientific domains. Our work sits at the intersection of agent capabilities, human-computer interaction, and infrastructure—from designing post-training methods for agentic behavior to developing evaluation frameworks for open-ended tasks where traditional metrics fall short. As a research intern, you will work on problems at the frontier of agentic AI, where challenges in alignment, reliability, and scalability are deeply intertwined. Projects may involve developing new training recipes for self-learning and long-horizon reasoning, curating datasets for non-deterministic scientific and agentic tasks, studying failure modes in agentic behavior, or building infrastructure that enables agent operations at scale. You'll operate in a space where algorithmic innovation, dataset and interaction design, and systems work come together to push the boundaries of what AI agents can reliably accomplish. Responsibilities Research and implement novel techniques in one or more of our focus areas Design and conduct rigorous experiments to validate hypotheses Document findings in scientific publications and blog posts Communicate the plans, progress, and results of projects to the broader team Requirements Currently pursuing a Ph.D. degree in Computer Science, Electrical Engineering, Information Science, or a related field Publications at leading ML, NLP, or speech conferences or journals (such as NeurIPS, ICML, ICLR, *ACL, EMNLP, Interspeech) Strong knowledge of Machine Learning and Deep Learning fundamentals Experience with deep learning frameworks (PyTorch, JAX, etc.) Understanding of how LLMs work Strong programming skills in Python Familiarity with Transformer architectures and recent developments in foundation models Example Research Directions Training, develo

Role Overview As a Research Intern in the Model Shaping team, you will work on one or more of the following areas: Advanced post-training methods across supervised learning, preference optimization, and reinforcement learning New techniques and systems for efficient training of neural networks (e.g., distributed training, algorithmic improvements, optimization methods) Robust and reliable evaluation of foundation model capabilities The Model Shaping team at Together AI works on products and research for tailoring open foundation models to downstream applications. We build services that allow machine learning developers to choose the best models for their tasks and further improve these models using domain-specific data. In addition to that, we develop new methods for more efficient model training and evaluation, drawing inspiration from a broad spectrum of ideas across machine learning, natural language processing, and ML systems. Past research led by Model Shaping interns resulted in the following publications: Escaping the Verifier: Learning to Reason via Demonstrations (ICML 2026) Untied Ulysses: Memory-Efficient Context Parallelism via Headwise Chunking (ICML 2026) ​​ FFT-based Dynamic Subspace Selection for Low-Rank Adaptive Optimization of Large Language Models (ICLR 2026) Responsibilities Research and implement novel techniques in one or more of our focus areas Design and conduct rigorous experiments to validate hypotheses Document findings in scientific publications and blog posts Integrate the research results into Together products Requirements Currently pursuing a Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or a related field Strong knowledge of Machine Learning and Deep Learning fundamentals Experience with deep learning frameworks (PyTorch, JAX, etc.) Familiarity with the Transformer architecture and recent developments in foundation models Preferred Requirements Prior research experience with training foundation m

Role Overview As a Research Intern in the Model Shaping team, you will work on one or more of the following areas: Advanced post-training methods across supervised learning, preference optimization, and reinforcement learning New techniques and systems for efficient training of neural networks (e.g., distributed training, algorithmic improvements, optimization methods) Robust and reliable evaluation of foundation model capabilities The Model Shaping team at Together AI works on products and research for tailoring open foundation models to downstream applications. We build services that allow machine learning developers to choose the best models for their tasks and further improve these models using domain-specific data. In addition to that, we develop new methods for more efficient model training and evaluation, drawing inspiration from a broad spectrum of ideas across machine learning, natural language processing, and ML systems. Past research led by Model Shaping interns resulted in the following publications: Escaping the Verifier: Learning to Reason via Demonstrations (ICML 2026) Untied Ulysses: Memory-Efficient Context Parallelism via Headwise Chunking (ICML 2026) ​​ FFT-based Dynamic Subspace Selection for Low-Rank Adaptive Optimization of Large Language Models (ICLR 2026) Responsibilities Research and implement novel techniques in one or more of our focus areas Design and conduct rigorous experiments to validate hypotheses Document findings in scientific publications and blog posts Integrate the research results into Together products Requirements Currently pursuing a Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or a related field Strong knowledge of Machine Learning and Deep Learning fundamentals Experience with deep learning frameworks (PyTorch, JAX, etc.) Familiarity with the Transformer architecture and recent developments in foundation models Preferred Requirements Prior research experience with training foundation m

Strength in Trust OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. The Challenge We are looking for a Principal Solutions Engineer to lead the RFX practice within OneTrust’s Solutions Engineering Centre of Excellence. This is a high-impact role for someone who can improve how OneTrust approaches strategic RFIs, RFPs, security questionnaires, and proposal-driven evaluations across the business. You will partner closely with Account Executives, Solution Engineers, Product, Product Marketing, Infosec, and other subject-matter experts to turn complex customer requirements into differentiated, high-quality responses that help us win. This role is not about personally running every questionnaire that comes in. It is about owning the strategy for the most important opportunities while building the systems, content, operating rhythms, and AI-enabled workflows that help the wider field execute better at scale. At the same time, you will help raise the level of the broader Solutions Engineering organization by creating a stronger RFX function: one that is more strategic in deals, more efficient in execution, more consistent in quality, an

CAPCO POLAND *We're looking for Poland-based candidates. The role is hybrid and requires working from the office in Warsaw. Capco Poland is a global technology and management consultancy specializing in driving digital transformation across the financial services industry. We are passionate about helping our clients succeed in an ever-changing industry. We are also: Experts in banking and payments, capital markets and wealth and asset management Committed to growing our business and hiring the best talent to help us get there Focused on maintaining our nimble, agile and entrepreneurial culture Shape trusted, scalable data solutions that turn complex banking data into meaningful business value. The Role We are looking for Data Architecture & Governance Consultants to join our Banking & Payments practice in Warsaw. You will work with clients to design and govern scalable data solutions across complex financial services environments. Combining data architecture, governance and cloud expertise, you will help establish trusted data models, clear standards and effective controls while enabling high-performance solutions using GCP and BigQuery. You will collaborate closely with business stakeholders, Data Stewards, Domain Experts, Business Analysts and engineering teams to translate business needs into well-defined, secure and scalable data solutions. What You’ll Do Design data models for data warehouses, integrated data layers and analytical layers, incorporating BigQuery modelling best practices. Integrate data from multiple source systems and help establish consistent business definitions, data semantics and documentation standards. Support data governance activities covering Data Owner and Data Steward responsibilities, metadata, data dictionaries, lineage and data quality. Design scalable, secure and high-performance GCP and BigQuery solutions, considering query optimisation, partitioning, clustering, data processing and cost management. Collaborate with

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 200+ public data centers globally and thousands of private sites 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 Principal Sales Engineer to join our team. This is a Remote (Milan, Italy) role, reporting to the Sales Engineering Manager in the Solutions Consulting department. In this position, you will set the technical direction for marquee opportunities in Italy and partner with extended teams to drive strategic outcomes for our most significant customers. You will pioneer new offerings, influence the product roadmap, establish cross-portfolio architecture standards, and represent the Solutions Consulting function in key partner and analyst forums. Additionally, you will mentor senior Sales Engineers, assess regional capability gaps, and package field insights into roadmap proposals as part of the EMEA technical advisory function. What you’ll do (Role Expectations) Position Zscaler Value through technical expertise and sales experience to win the mindshare of customer technical teams Drive enablement and so

Location Details: Remote - India At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. The Managed SSL (MSSL) team plays a critical role in supporting GoDaddy's Website Security customers. The team assists with SSL certificate validation, installation, configuration, and troubleshooting across a variety of hosting environments and content management systems, helping customers keep their websites secure and trusted. What you'll get to do... Deliver world-class technical support to Managed SSL customers via email Request, validate, install, and configure SSL certificates (DV, UCC, and Wildcard) across multiple hosting platforms Troubleshoot SSL-related issues, including certificate errors, redirects, HTTPS configuration, and browser trust warnings Manage customer tickets in line with defined processes, service level agreements (SLAs), and quality standards Monitor escalated cases and collaborate with internal teams to ensure timely resolution Work with Engineering and Product teams to identify and drive process improvements Share technical knowledge, best practices, and new discoveries with peers Support continuous improvement initiatives across the Website Security organization Develop expertise in website security technologies, firewalls, and related security services Your experience should include... Experience installing and configuring SSL certificates in Linux and Windows hosting environments Understanding of the SSL certificate lifecycle, validation methods, and common SSL/TLS troubleshooting techniques Familiarity with web hosting technologies including Apache, Nginx, IIS, DNS, and web server configuration Experience work

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. About IRL (Instawork Robotics Labs) Researchers at UC Berkeley have identified a “100,000-year data gap” - the gulf between what trained AI language models and what physical robots actually have to learn from. Closing that gap is the defining infrastructure challenge of the physical AI era. IRL is Instawork’s answer to it. We deploy skilled workers into real commercial and residential environments - kitchens, warehouses, hotel floors, homes - to capture the high-fidelity task data that the world’s leading Robotics labs use to train their foundation models. Read more here . What you’ll do Lead Workforce & Operations: Drive day-to-day workforce management for Clippers, Graders, Regraders, SMEs, and ICs across shifts/sites, optimizing staffing, capacity planning, and throughput against SLA targets. Implement Quality Systems & Methods: Maintain the QMS and apply structured methods (RCA, CAPA, FMEA, 8D, SPC) to address recurring defects, calibration drift, gold-sample injections, and consensus checks. Own SOPs & Process Standards: Build, version-control, and continuously iterate SOPs for existing and new program launches, ensuring floor adoption and structured QA onboarding/re-calibration paths. Bridge Cross-Functional Teams: Translate engineering data requirements into floor-executable QA criteria, report field issues back with evidence, and represent QA in program launches and crisis calls. Drive Data-Led Quality: Monitor and analyze key QA metrics—defect/reject rates, inter-grader agreement (ka

Curious Minds. Bold Ideas. Extraordinary Impact . We're transforming financial services through bold innovation and relentless execution. You bring the ideas and drive. We'll build what's next — together. The Opportunity nCino KYC Africa is on a mission to make money laundering impossible. Our software and compliance services help accountable institutions worldwide meet their obligations – from attorney groups to asset managers and foreign exchange firms. As Account Manager, you own relationships that matter. You'll lead your own renewals and commercial negotiations across, and shape how those organisations think about compliance risk. What You'll Do Own renewals and commercial negotiations across portfolios Identify and close opportunities to upsell existing services and introduce complementary ones Drive product adoption — show clients the functionality that increases their usage and their return Guide clients through change management and product enhancements Lead meetings and presentations with senior and C-suite stakeholders Assess client needs and business objectives continuously, and act on what you find Coordinate across compliance, onboarding, product, support engineering and finance so client expectations are met Resolve product issues and concerns, including moderately complex ones, end to end Shape initiatives that lift satisfaction and retention across the customer base Bring a considered approach to client onboarding, delivered within agreed timeframes Support the wider team in meeting financial targets and growth objectives Ideally You'll Have A tertiary qualification 2+ years' work experience, preferably in a client-facing role Excellent communication skills, written and verbal, with the confidence to navigate and mediate conflict A solution-oriented mindset and strong business acumen A talent for building and sustaining senior professional relationships Strong organisation, prioritisation and time management across a large portfolio Sound judgement

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 The Senior Manager, Data & Analytics Products owns a portfolio of enterprise-critical Tier 1 products from strategy and discovery through delivery, adoption, service performance, and value realization. The role connects executive and business priorities to product roadmaps and leads across product, data engineering, analytics, governance, architecture, security, operations, and business teams. The ideal candidate is a data and analytics leader with strong product judgment: commercially grounded, technically fluent, practical in the application of AI, and skilled at aligning senior stakeholders and global delivery teams. Success requires the ability to make enterprise data trusted, analytics products useful, and complex strategic programs executable - without requiring hands-on engineering or model development. WHAT YOU'LL DO Tier 1 insights product portfolio strategy. Own the vision, value proposition, target users, product criticality, investment priorities, outcome metrics, and multi-horizon roadmaps for the company's most important data and analytics products. Balance run, grow, and transform priorities across the portfolio. Discovery and product lifecycle. Lead stakeholder interviews, user research, decision-journey and process analysis, and opportunity sizing. Translate important business questions into product requirements, priorities, roadmaps, success measures, and an ongoing improvement a

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! About the Role We are seeking a proactive, customer-focused IT Support Specialist based in Toronto to anchor our regional IT operations. In this role, you will be the primary point of contact for internal employees, delivering white-glove technical support while managing core identity, collaboration platforms, and SaaS systems. Beyond day-to-day helpdesk operations, this position bridges traditional IT support and modern systems engineering. You will leverage automation, scripting, and modern DevOps practices to streamline user lifecycles, eliminate manual toil, and ensure our workforce operates securely and efficiently. Key Responsibilities Serve as the first point of contact for internal employees, triaging incoming requests through the ticketing system and established support processes. Troubleshoot and resolve workstation, laptop, mobile, and basic network issues for on-site staff and remote employees, escalating more complex support cases to senior staff or the appropriate team. Deliver calm, clear support during high-priority incidents, keep users informed, and document work thoroughly through to resolution. Manage end-to-

We're looking for a Product Analyst to support our Point of Sale (POS) product team. You'll work closely with the POS Product Owner to translate business and venue needs into clear requirements, support day-to-day POS issues, and help drive continuous improvement of the POS platform across all venues. This role is a strong fit for someone who has spent real time in the trenches with POS systems, whether building them, configuring them, or supporting the people who use them every day, and who wants to move deeper into product-facing work. What You'll Do Partner with the POS Product Owner to gather, document, and prioritize requirements for POS enhancements, integrations, and fixes Analyze POS support tickets and incident trends to identify recurring issues, root causes, and opportunities for product improvement Translate business and venue operations needs into clear user stories, acceptance criteria, and functional specifications Support testing and validation of new POS features and releases, including UAT coordination with venue stakeholders Serve as an escalation point for complex POS issues, working with engineering, support, and vendor teams to drive resolution Monitor POS system performance and data quality, flagging anomalies that could affect transactions, inventory, or reporting Maintain and update product documentation, release notes, and training materials for interna

The Opportunity This is an exciting opportunity to lead during a time of transformation, as we automate our close and scale worldwide accounting operations. We're looking for a forward-thinking leader to own the accounting, close, and analytics across worldwide compensation, cloud, generative AI, technology services, and lease accounting! You'll apply strong U.S. GAAP judgment to complex, non-standard arrangements and drive high-impact process improvements and AI-enabled automation. If you build high-performing teams and thrive on solving novel accounting challenges, we'd love to hear from you! What You'll Do Lead the accounting operations for cloud, generative AI, and technology service arrangements, applying strong judgment on infrastructure spend, consumption-based contracts, and capitalization. Partner with Technical Accounting, FP&A, Procurement, and Cloud Engineering to assess the accounting implications of new arrangements, contracts, and initiatives. Operationalize technical accounting conclusions into journal entries, balance sheet reconciliations, close procedures, and controls. Own the close for worldwide compensation accounts, ensuring accurate accrual, recognition, and reporting of payroll, bonuses, commissions, severance, fringe benefits, and other compensation accruals. Oversee compensation balance sheet reconciliations across all entities, keeping accounts audit-ready and resolving payroll-to-GL discrepancies. Oversee the accounting for complex compensation transactions, including sales-commission capitalization, performance bonuses, and fringe and facility allocation and forecasting. Lead analytics across the compensation portfolio, surfacing trends, drivers, and anomalies, and partnering with HR, Payroll, and FP&A to strengthen forecast accuracy. Own lease accounting, including lease reviews, reconciliations, a