Machine Vision And Aoi Sr 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. Companies all over the world and across every industry are moving to the cloud, and Okta’s identity-centric zero trust security is a key pillar of that digital transformation. Performant and efficient cloud infrastructure management is essential for ensuring the effectiveness of Okta’s services to succeed in every market vertical, geography and segment. With a flexible and resilient platform for cloud infrastructure management, Okta can be a true partner to our customers as they scale and adopt new applications and technology. We are looking for a Sr Product Manager who will be responsible for driving strategy related to Okta’s infrastructure related revenue streams, including examples such as Enhanced Disaster Recovery, Private Cloud, DynamicScale, and our cloud service provider posture. If you are passionate about the intersection of infrastructure and large scale enterprise products, we are looking for you. Responsibilities Develop and execute cloud infrastructure product business cases and strategy that aligns with the company's overall business goals and objectives, as well as broader industry trends and market context Collaborate with cross-functional teams, including engineering, sales, and marketing, to ensure the successful launch and adoption of infrastructure products and services Develop pricing strategies and models for infrastructure products and services Conduct market research and analysis to identify trends and customer needs, and use

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Senior Data Scientist - Network Value (Plaid App) The Network Value Data Science team is helping Plaid build an industry-leading fintech consumer network with best-in-class products and user experiences. We are a product analytics team embedded in key product areas across Plaid. We support some of Plaid’s most important OKRs and help execute on product roadmaps. We translate ambiguous product questions into tractable analysis, serve as analytical thought partners throughout the org, identify opportunities to build better products, and champion a data-first decision-making approach everywhere we go. You’ll be a Senior Data Scientist supporting Plaid App, a critical user-facing product within Plaid’s Network Value portfolio. In this role, you’ll become a data and analytical thought partner to product managers and engineers, helping drive data-informed product development as the team launches and scales the product from 0 to 1. You’ll translate business questions into analytics projects, perform ad-hoc and strategic analysis, improve visibility into core systems through data modeling and dashboarding, create OKRs and metrics tied to business goals, and support feature ship decisions

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 Okta on Okta Identity Architect Opportunity This is not a traditional architect role. At Okta, an Okta on Okta Identity Architect is the premier technical execution tier above Principal Engineer—acting as the ultimate hands-on practitioner of our own cloud platform. While you won't be writing application code, you will get your hands dirty configuring, extending, and testing the boundaries of the platform. You are the builder who proves our platform works in the real world. As organizations successfully adopt phishing-resistant MFA, attackers have shifted their tactics—increasingly deploying Adversary-in-the-Middle (AiTM) phishing kits and info-stealer malware to execute session hijacking via cookie theft. Furthermore, with the explosive rise of autonomous AI workloads, securing human identity is no longer enough; we must now protect and govern a fast-growing sprawl of non-human, agentic workflows. Are you an elite engineer running Okta at a customer organization today? Have you ever configured our platform, pushed Okta Platform Services to their limits, and thought: "If I worked at Okta, I know exactly how we could make this platform better" ? We are looking for a highly mature, technical leader who is already a deeply experienced, hands-on Okta customer practitioner to drive the technical execution of our Identity Security & Agentic Identity portfolio. In this role, you will transition from being an external customer to becoming the technical corn

Shape the Future of Data. Design Products That Matter. Join Capco's growing Data & Analytics practice and help some of the world's leading financial institutions unlock the value of their data. We're looking for experienced consultants with expertise across data architecture, data modelling, data products and enterprise data solutions. Whether your passion lies in defining strategic data capabilities, designing modern platforms, or delivering business-focused data products, you'll have the opportunity to solve complex challenges while helping clients transform the way they use data. The Role As a Senior Data Consultant, you'll work alongside multidisciplinary teams to design and deliver modern data capabilities that enable better business decisions. You'll combine technical expertise with consulting skills to help clients define target architectures, create scalable data solutions and establish data products that generate measurable business value. Why This Role Is Open We are currently hiring for this role due to an existing or newly created vacancy within our organization. This position is open as part of our ongoing business needs, and we are actively reviewing applications to fill this role with a qualified candidate who can make an immediate impact. What You'll Do Design and deliver enterprise data architectures, logical and physical data models, and scalable data solutions aligned to business strategy. Partner with business and technology stakeholders to define and implement high-value data products and data-driven capabilities. Lead or contribute to data transformation initiatives, including cloud migration, modern data platforms and data governance. Translate complex business challenges into practical, sustainable data solutions using industry best practices. Mentor colleagues, contribute to capability development and help shape the growth of Capco's Data & Analytics practice. What We're Looking For Experience delivering data architecture, data model

About the Role We’re looking for a Competitive Intelligence Lead, a senior individual contributor reporting to the Head of Competitive Intelligence, to help operationalize and scale the company’s competitive intelligence capability. This person will own high-priority competitive analyses, executive-ready insights, and GTM enablement that help Product, Sales, Marketing, Customer Success, and leadership understand where we win, where we’re vulnerable, and how the market is evolving. This is not a traditional research role. It is a hands-on strategy role at the intersection of Product, GTM, Research, and Leadership. You will turn competitor movements, customer feedback, product data, and market signals into clear recommendations that influence roadmap decisions, positioning, pricing, sales execution, and executive decision-making. What You'll Do Partner with the Head of Competitive Intelligence to translate the company’s CI strategy into repeatable analyses, operating rhythms, executive materials, and GTM enablement. Own high-priority competitor deep dives, market landscape reviews, pricing analyses, product comparisons, Harvey Ball assessments, feature matrices, and strategic opportunity/risk assessments. Create executive-ready insights that inform product strategy, roadmap prioritization, GTM planning, pricing, and investment decisions. Develop best-in-class competitive messaging, objection handling, battlecards, and enablement content for Sales, Marketing, Customer Success, and Partnerships. Monitor competitor product launches, model releases, acquisitions, partnerships, pricing changes, funding activity, customer announcements, and GTM motions. Synthesize fast-moving and complex market information into clear implications, recommendations, and decision-ready narratives. Partner closely with Product Management to identify areas of differentiation, competitive gaps, customer pain points, and emerging opportunities. Collaborate with Marketing to sharpen positioning, me

Position Overview: We are seeking a strategic, data-driven leader with a deep understanding of sales processes, marketing strategies, and customer success to join the GTM Operations team. The Manager of GTM Operations (EMEA/APAC) is a critical, strategic partner to the VP of Sales in EMEA and APAC. You will foster collaboration and alignment among the entire commercial organization including Sales, Customer Success, Marketing, and Partnerships. The ideal candidate will have a proven track record of building scalable processes and leveraging AI to drive sustained revenue growth. Strong analytical and strategic planning capabilities are essential. Key Responsibilities: Commercial Strategy and Growth Partner with the Sales and Finance to develop and operationalize a commercial growth strategy, ensuring alignment between pipeline and bookings targets, capacity, headcount and budgets Translate complex data into actionable recommendations for Commercial leaders Develop and maintain segmentation models and sales coverage strategies that align to growth objectives, drive focus, and optimize rep productivity Forecasting & Pipeline Management Drive and evolve the sales forecasting framework, implementing a disciplined, data-driven forecast cadence across all theatres and segments Utilize Salesforce, GTM tools and data sets (snowflake) to drive predictability, pipeline conversion, stage hygiene, and deal inspection processes. Leverage AI and machine learning capabilities within the existing data stack (e.g., Snowflake, Salesforce) to enhance forecast accuracy, surface pipeline risk earlier, and automate routine reporting Deliver consistent r

Who we are 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 Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We're looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our work is broad and varied, influencing how our products work (e.g., understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, and quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between. We have a variety of Data Science roles and teams across Stripe and will seek to align you to the most relevant team based on your background. What you’ll do We’re looking for a Data Scientist to partner with our Global Growth teams. You’ll play a key role in designing and shipping experiments, as well as identifying improvement opportunities across stripe.com and the dashboard to help businesses worldwide get started on Stripe. You’ll help us understand, grow, and optimize the self-serve user funnel to ensure a consistently high-quality onboarding experience for users globally. As Data Scientists at Stripe, our mission is to ensure that company strate

Who we are 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 Fraud Strategy is responsible for building scaled fraud mitigation systems that prevent fraud and protect the financial ecosystem, while minimizing disruption to good users. The fraud team’s mission is to protect Stripe, our users, and the broader financial ecosystem from actors who abuse Stripe accounts for financial gain. What you’ll do As a Fraud Strategist, you will be responsible for building strategies to mitigate fraud (buyer fraud, seller fraud and account fraud) on new and existing Stripe products. You will enable safer money movement for our users and help Stripe manage fraud risks intelligently. The stakes are high, and you will be up against ever-evolving challenges. You will face some of the most complex and dynamic problems at the company, and the nature of your work will evolve rapidly to combat new and more sophisticated challenges to Stripe's integrity in the financial ecosystem. You'll partner closely with Product, Engineering, Data Science, Operations and other Risk Strategy functions to ensure fraud controls are embedded in every Stripe product. Beyond protecting against fraud risk, you'll drive innovation in how Stripe approaches fraud management— staying ahead of emerging fraud trends and pushing the boundaries of what effective, scalable fraud risk management looks like at a global payments company. Responsibilities Monitor portfolio to identify, mitigate and predict risky behavior that could result in loss

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 Pricing Strategy & Ops Team The Pricing Strategy & Ops team owns the end-to-end pricing, packaging, and commercialization of all products across both Okta and Auth0, bringing new innovations to market while continuously optimizing our existing portfolio. We partner closely with Product and GTM teams to design strategic commercial frameworks and own the SKU execution needed to operationalize our business at scale. The Director, Commercial Strategy & Buying Programs Opportunity We are seeking a world-class Pricing & Commercialization leader to design, scale, and drive our enterprise monetization and commercial purchasing frameworks. In this role, you will be the chief architect of Okta's Enterprise License Agreements (ELAs), channel partner pricing structures, and competitive initiatives. You will work across Sales, Renewals, Product Management, Product Marketing, Partners and Operations teams to optimize our monetization strategy and capture market value as Okta continues to scale. This role requires a unique blend of strategic structured thinking, pricing & deal strategy acumen, and cross-functional leadership. You will lead x-functional teams to translate packaging and pricing innovations into high-velocity commercial buying programs that land successfully with customers and the field. What you’ll be doing Define, launch and scale global Enterprise License Agreements (ELAs) and bundling strategies that simplify transactions, i

About the Team The Personality & Model Behavior team, within OpenAI’s broader Personal AGI team conducts research on how to shape personalities and guide the behavior of models. We think about topics such as emotional intelligence, reasoning, and how models interact thoughtfully with users. We’re particularly interested in understanding how individual users want ChatGPT to behave, and creating personalized models that feel uniquely tailored to each user. We integrate this research into ChatGPT and other OpenAI products that are used by hundreds of millions of users. About the Role We're looking for individuals with strong ML engineering skills and research experience, especially with novel and highly capable models, and in areas like reinforcement learning and reward modeling. An ideal candidate is passionate about product-driven research. In this role, you will: Conduct research around personalization, personality, and model behavior by leveraging and developing tools such as synthetic data, reward modeling, and reinforcement learning. Build robust evaluations and model training pipelines to facilitate our research. Innovate new post-training methods. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. You might thrive in this role if you: Have a deep understanding of machine learning and its applications. Have prior knowledge in training and optimizing models and building evaluations. Are willing to dive into large ML codebases to debug issues. Thrive in dynamic and technically complex environments. Have a track record of delivering innovative, out-of-the-box solutions to address real-world constraints. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through o

Location Details: 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 position may be a hybrid or fully remote position, as decided by your manager. If designated as hybrid, you’ll divide your time between working remotely from your home and an office location, so you should live within commuting distance. If designated as remote, you’ll be working remotely from your home and may occasionally visit a GoDaddy office to meet with your team for events or meetings. Your hiring manager can share more about this role’s hybrid or remote designation. This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands. GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC. Join our team... At GoDaddy, we're on a mission to radically shift the global economy toward small businesses by empowering people to easily start, confidently grow, and successfully run their own ventures. The Domain Search team builds the foundational search and discovery infrastructure that powers GoDaddy's domain marketplace and helps millions of entrepreneurs find, evaluate, and manage domain names. Our platform sits at the center of the domain purchasing journey, connecting customer intent with highly relevant, personalized recommendations at global scale. As a Staff Software Engineer, you will provide technical leadership for the search infrastructure that supports multiple products and teams across GoDaddy. You will help drive the evolution of our platform into an intelligent, personalized search experience capable of understanding customer intent, learning from behavioral signals, and delivering highly relevant domain recommendations. This role combines hands-on engineering excellence with architectural leadership. You'll influence techni

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 Senior Manager, Customer First Operations, EMEA will play a pivotal role in shaping and scaling our rapidly growing EMEA Customer First organisation. Sitting within our EMEA GTM Operations team, working closely with the Global CX Operations team, this role acts as the primary operational partner for the EMEA VP of Customer First and other senior CX leadership. You will be responsible for establishing and implementing operations rigour and standards for the CX team, spanning Customer Success and Technical Account Management (TAM), while working closely with adjacent teams including Renewals, Support, and Professional Services. In this role, you will design, refine, and continuously optimise our Management Systems, bridging the gap between corporate strategy and regional execution to maximise Net Revenue Retention (NRR). We are looking for an experienced, highly collaborative candidate with a growth mindset, exceptional analytical skills, and an appetite for constant improvement. You will be tasked with integrating the customer journey from sales through to customer success, ensuring that global and local standards are consistently adhered to and operate in support of our aggressive growth targets. Job Duties and Responsibilities: Be a trusted operational guardrail: Partner deeply with Global Operations to define and maintain strict consistency across processes, preventing regional drift or siloed operations while ensuring global standards support E

InMobi Advertising is a global technology leader helping marketers win the moments that matter. Our advertising platform reaches over 2 billion people across 150+ countries and turns real-time context into business outcomes, delivering results grounded in privacy-first principles. Trusted by 30,000+ brands and leading publishers, InMobi is where intelligence, creativity, and accountability converge. By combining lock screens, apps, TVs, and the open web with AI and machine learning, we deliver receptive attention, precise personalization, and measurable impact. Through Glance AI, we are shaping AI Commerce, reimagining the future of e-commerce with inspiration-led discovery and shopping. Designed to seamlessly integrate into everyday consumer technology, Glance AI transforms every screen into a gateway for instant, personal, and joyful discovery. Spanning diverse categories such as fashion, beauty, travel, accessories, home décor, pets, and beyond, Glance AI delivers deeply personalized shopping experiences. With rich first-party data and unparalleled consumer access, it harnesses InMobi’s global scale, insights, and targeting capabilities to create high impact, performance driven shopping journeys for brands worldwide. Recognized as a Great Place to Work, and by MIT Technology Review, Fast Company’s Top 10 Innovators, and more, InMobi is a workplace where bold ideas create global impact. Backed by investors including SoftBank, Kleiner Perkins, and Sherpalo Ventures, InMobi has offices across San Mateo, New York, London, Singapore, Tokyo, Seoul, Jakarta, Bengaluru and beyond. At InMobi Advertising , you’ll have the opportunity to shape how billions of users connect with content, commerce, and brands worldwide. To learn more, visit www.inmobi.com Who are we and What do we do? InMobi Group’s mission is to power intelligent, mobile-first experiences for enterprises and consumers. Its businesses across advertising, marketing, data and

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Making data driven decisions is key to Plaid's culture. To support that, we need to scale our data systems while maintaining correct and complete data. We provide tooling and guidance to teams across engineering, product, and business and help them explore our data quickly and safely to get the data insights they need, which ultimately helps Plaid serve our customers more effectively. Engineers on Data Infrastructure are domain experts in Data Warehouse, Data Lakehouse, Spark, Workflow Orchestration, and Streaming technologies. We scale our existing data pipelines in a performant and cost efficient way while creating the necessary abstractions to make developing on top of this platform extremely simple for other engineers at Plaid. Responsibilities Contribute towards the long-term technical roadmap for data-driven and machine learning iteration at Plaid Leading key data infrastructure projects such as improving ML development golden paths, implementing offline streaming solutions for data freshness, building net new ETL pipeline infrastructure, and evolving data warehouse or data lakehouse capabilities. Working with stakeholders in other teams and functions to define technical roa

About the role The Model Shaping team at Together AI works on products and research focused on tailoring open foundation models to downstream applications. We build services that enable machine learning developers to choose the best models for their tasks and further improve these models using domain-specific data. In addition, we develop new methods for more efficient model training and evaluation, drawing inspiration from a broad range of ideas across machine learning, natural language processing, and ML systems. As a Research Engineer within Model Shaping, you will develop a platform that enables users to customize open-source models with their own data. Working across the training and inference stacks, you will build and improve our Fine-Tuning, Reinforcement Learning, and Evaluation services – from ensuring a seamless path from post-training to production serving, to optimizing the inference engine for RL training workloads. You will collaborate closely with our product, research, and engineering teams to keep the API reliable, performant, and well integrated into the company's technical infrastructure. Above all, you will help build the foundational layer of the open-source AI ecosystem, enabling developers around the world to efficiently create high-quality models tailored to their specific applications. Responsibilities Design and build Together’s systems for customizing open-source models Build integrations between the Model Shaping and Inference platforms to ensure a seamless path from post-training to serving production workloads Add features to inference engines for large-scale post-training experiments, including optimizations for RL workloads Make sure the service is stable and robust, participating in an on-call rotation and ensuring 24/7 availability of our platform Requirements Have 2+ years of experience building and deploying machine learning-based services in a production environment Have hands-on experience with modern inference engines, such as