At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Mapping team at Lyft is tasked with building a digital representation of the physical world - a map. We collect and serve the freshest and most accurate mapping data possible, along with algorithms, models, platform services, and map-based user experiences that power Lyft’s current and future transportation offerings. Mapping represents a huge opportunity for Lyft’s business, but also a big challenge. We build and scale systems that deal with large data storage, real-time data processing, machine / deep learning pipelines, routing and ETA models, driver and passenger location tracking, and more. We built beautiful and magical user experiences on top of all those services, and compete with companies that have been in the mapping business for decades. To strengthen our efforts, we are hiring a Senior ML Engineer who will work end-to-end on creating and improving new capabilities to detect changes in the environment and reflect them in our Lyft map using a wide variety of input sources from the Lyft fleet. For this we are looking for someone who values software engineering best practices, loves the algorithmic and geospatial side of the challenge and is data-driven from start to end. Our technology stack ranges from basic machine learning models to large language models and running them at scale on millions of images. You will work with incredibly passionate and talented colleagues from machine learning, data science, and engineering on projects that delight our passengers and drivers – powered by an up to date map. Responsibilities: Partner with Engineers, Data Scientists, Product Managers, and Business Partners to apply machine learning for business and user impact Perform data analysis and build proof-of-concept to explore and propose ML solutions to both new and existing proble
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Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Engineering Manager – Enterprise Data Engineering We are looking for an experienced Engineering Manager to lead a team of Enterprise Data Engineers delivering trusted, scalable and reusable data capabilities across Sony Interactive Entertainment (SIE). The role combines people leadership, technical direction, delivery ownership and operational accountability for enterprise data products, pipelines and integrations. Working with global engineering, architecture, platform, security and business teams, you will enable enterprise priorities spanning Finance, Supply Chain, IT Operations, People & Places and Sales & Operations. You will balance transformation delivery with the reliability, maintainability and continuous improvement of existing data services. Responsibilities Lead, coach and grow the engineering team · Manage performance, development, recruitment and succession; create clear goals, regular feedback and meaningful career plans. · Build a culture of ownership, inclusion, engineering discipline, collaboration and continuous learning. · Provide hands-on technical guidance when needed while delegating decisions and developing senior engineering capability. Own delivery, capacity and execution · Translate enterprise roadmaps into executable p
Job Requisition ID # 26WD97260 Position overview As a global leader in 3D design, engineering, and entertainment software, Autodesk helps people imagine, design and create a better world. Autodesk accelerates better design through an unparalleled depth of experience and a broad portfolio of software to give customers the power to solve their design, business, and environmental challenges. In addition to designers, architects, engineers, and media and entertainment professionals, Autodesk helps students, educators, and casual creators unlock their creative ideas through user-friendly applications. Autodesk's Developer Enablement(DE) organization is seeking a passionate Engineering Manager to join a team of diverse, smart, and driven engineers who are responsible for building shareable, reusable components that are consumed by most Autodesk desktop products. This people manager will lead a high performing scrum team of senior and junior engineers and collaborate across other teams and stakeholders to build code, infrastructure, and services that will have a direct and positive impact on millions of users of our products. Responsibilities Team Leadership & People Management Lead, mentor, and grow a team of software engineers across backend, full-stack, and platform domains Foster a high-performance engineering culture focused on collaboration, ownership, and continuous learning Conduct regular performance reviews, career development planning, and technical mentoring Support hiring efforts including technical interviews, onboarding, an
Senior Data Scientist Description - The Team We are an expanding team at HP that develops applications that make use of Generative AI and Large Language Models. We work with business units mainly from the Commercial Organization to develop and run solutions that help our sales teams and customers. Responsibilities Defines and implements AI solutions to create business value and innovation. Works with Data Science leaders to develop new innovative solutions to existing or new business challenges. Develops clear presentations for business stakeholders and managers. Manages relationships with business partners to evaluate and foster data driven innovation, provide domain-specific expertise in cross-organization projects/initiatives. Knowledge & Skills Proficiency in Python and PySpark Programming: Strong coding skills in Python for data manipulation, model development, and integration with Azure services. Experience with Azure Services: Knowledge of key Azure services like Azure Machine Learning, Azure AI Search, and Azure Functions for deploying RAG systems. Expertise in Databricks: Ability to design, develop, and optimize workflows in Azure Databricks for data processing and feature engineering. Understanding of NLP and GenAI concepts: Familiarity with Large Language Models, prompt engineering for LLMs, vector databases, and Retrieval Augmented Generation (RAG) systems. Experience in Applied Statistics and Algorithms: Use statistics, mathematics, algorithms, and programming to address business challenges. Familiarity with the deployment and scaling RAG systems in production, using Azure’s containerization options such as Docker, AKS (Azure Kubernetes Service), or Azure Funct
About the Role Sigmoid is looking to onboard a Senior Leader to anchor our CPG Supply Chain Analytics practice in Bengaluru. In this role, you will drive strategic initiatives, foster innovation, and provide visionary leadership to our Supply Chain Analytics practice. Roles and Responsibilities Leading and overseeing our Supply Chain Analytics Practice development, setting strategic direction and driving business growth. Develop and execute a comprehensive strategy to expand our presence in the industry practice, identifying market opportunities and driving revenue growth. Collaborate with sales, marketing, and business development teams to develop go-to-market strategies, identify key clients, and drive new business opportunities. Facilitate the development of advanced analytics (AI/ML) and data modeling to optimize decisions. Knowledge Management: Author or contribute to articles and Intellectual Capital that advance the quality of client service and oversee practice-level knowledge management activities to lead and propagate a knowledge management culture within management consulting services. Partner with clients to understand their business challenges and opportunities, providing strategic guidance and innovative solutions. Drive thought leadership initiatives, representing our company at industry events, conferences, and forums. Qualifications Bachelor’s Degree (BE/BTech - CS) from Tier I/II universities like IITs/NITs and MBA from top-tier B-schools (IIM) preferred. 8-12 years of experience in consulting and implementing Data & Analytic solutions for large CPG customers. Direct front-office consulting experience with strategic customer leadership is a must. Strong leadership and management skills, with the ability to inspire and motivate teams to achieve excellence. Excellent communication and interpersonal skills, with the ability to build and maintain relationships with clients and stakeholders. Strategic mindset, with the ability to think critic
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. As a Senior Software Engineer, Data on the Mapping team, you will collaborate with our world-class team of engineers, product managers, and scientists to grow and improve the quality of recommended routes and accuracy of our travel time estimations. You will lead the architecture and long-term technical direction of our offline experimentation tooling and route simulation services — the systems that let Lyft test routing changes safely before they reach production. You'll also build scalable data pipelines for experimentation, analytics, and machine learning models, along with the data governance and observability systems that keep them trustworthy. Your work will enable integration with partner teams and allow stakeholders across Engineering, Data Science, and Product to make data-informed decisions that directly impact Lyft’s growth and profitability. Our technology stack is based on the latest technologies such as AWS, Databricks, Kubernetes and Airflow. You will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on projects that directly impact millions of riders and drivers. Responsibilities Own core data pipelines end-to-end, building deep subject matter expertise in the systems you manage and defining/managing SLAs for pipelines, services, and datasets to ensure reliability at scale Serve as the technical owner and architectural lead for our offline experimentation platform and route simulation services, setting technical direction, evaluating trade-offs, and ensuring the systems scale with Lyft's routing and mapping ambitions Continuously evolve data models and schemas to meet business and engineering requirements Develop AI tools that support self-service management of data pipelines (ETL) and schema evolution, and perform han
This is a core backend software engineering role (70% SWE / 30% Data) within our Mapping organization. You will focus primarily on building high-throughput services, distributed system architecture, and APIs, while leveraging large-scale spatial data to power Lyft's routing and mapping products. Note: This position focuses on backend service architecture and platform scalability rather than traditional ETL, BI, or data modeling pipelines. At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. As a Senior Software Engineer, Data on the Mapping team, you will collaborate with our world-class team of engineers, product managers, and scientists to grow and improve the quality of recommended routes and accuracy of our travel time estimations. You will lead the architecture and long-term technical direction of our offline experimentation tooling and route simulation services — the systems that let Lyft test routing changes safely before they reach production. You'll also build scalable data pipelines for experimentation, analytics, and machine learning models, along with the data governance and observability systems that keep them trustworthy. Your work will enable integration with partner teams and allow stakeholders across Engineering, Data Science, and Product to make data-informed decisions that directly impact Lyft’s growth and profitability. Our technology stack is based on the latest technologies such as AWS, Databricks, Kubernetes and Airflow. You will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on projects that directly impact millions of riders and drivers. Responsibilities Own core data pipelines end-to-end, building deep subject matter expertise in the systems you manage and defining/managing SLAs for pipelines, services, and datasets to ensure reliability at scale Serv
About the Team OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. Safely delivering increasingly capable AI systems requires scalable technical safeguards, clear ownership of emerging risks, rigorous deployment readiness, and close coordination across research, engineering, product, operations, legal, policy, and external partners. Our Technical Program Managers lead complex, high-stakes initiatives that turn safety commitments into deployed systems and measurable outcomes. We work across model development, infrastructure, product, and operational response to help ensure our technology is deployed responsibly and cannot be used to cause serious real-world harm. About the Role We’re seeking Technical Program Managers to drive complex product, platform, and safety initiatives across ChatGPT, API, enterprise, and related deployment environments. These roles operate at the intersection of technical strategy and execution: you will turn safety and product priorities into actionable plans, influence architectural and operational decisions, and deliver durable capabilities across model, infrastructure, application, and platform layers. Depending on the role, you may enable sensitive or high-impact model deployments, integrate safeguards into cloud and API platforms, prevent violent misuse and other serious harms, improve detection and enforcement systems, create platform solutions for safety or establish new programs as risks evolve. You will partner deeply with engineers, researchers, product managers, and operational teams while communicating technical tradeoffs and program decisions to senior leadership. You bring technical fluency, product judgment, and a strong execution record. You’re comfortable navigating ambiguity, advocating for users and developers, balancing safety with model usefulness, and leading cross-functional work with urgency, rigor, and empathy. Specific focus areas and scope will vary by opening and level. In
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. Okta is searching for a Senior Analyst, Foreign Tax Compliance and Reporting to join Okta’s Global Tax Compliance and Reporting Team. The Senior Analyst will be pivotal in the success of Okta’s income tax compliance and reporting obligations. The ideal candidate is highly self-motivated with strong organizational, project management, and communication (written and verbal) skills. The role is based in Bengaluru, India and will report to the US Sr. Manager overseeing Okta’s global income tax compliance and reporting. It is expected that the candidate lives within commuting distance of Bengaluru, India and is willing to work in the office at least 2 days per week. Job duties and responsibilities may include assisting with the following: The work timings will be from 2pm IST to 11pm IST. Ensure timely and accurate filing of the company’s APAC, EMEA, and LATAM income tax compliance and reporting obligations Review income tax returns and statutory tax provisions prepared by service providers; prepare workpapers to support compliance and reporting Prepare and/or review tax payment calculations and facilitate making payments Assist with analyzing impacts of foreign income tax laws Assist with establishing processes related to new tax regimes (such as Pillar Two) or global expansion into new jurisdictions Assist with other projects including responding to taxing authority correspondence, preparing tax department budgets, reviewing engagement letters, reviewing invoi
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. As a Senior IT Internal Auditor, you will serve as a technical lead and subject matter resource on an agile, high-impact team operating across complex, technology, cybersecurity, and AI-related audit engagements. Reporting to the Internal Audit Manager, you will independently drive audit execution across Technology Data & Insights (TDI), Security, Engineering, and cross-functional business stakeholders — with minimal supervision. This role requires a practitioner who can move beyond task execution: you will contextualize control gaps within Okta's broader risk and governance landscape, mentor junior team members, and bring a continuous improvement mindset to everything you deliver. Company Description Okta is the foundation for secure connections between people and technology. By harnessing the power of the cloud, Okta allows people to access applications on any device at any time, while still enforcing strong security protections. It integrates directly with an organization's existing directories and identity systems. Because Okta runs on an integrated platform, organizations can implement the service quickly at large scale and low total cost. Thousands of customers, including Adobe, Allergan, Chiquita, LinkedIn, and Western Union, trust Okta to help their organizations work faster, boost revenue, and stay secure. To learn more about Okta, visit: https://www.okta.com. What You Will Own Audit Planning & Risk Assessment Independently lead techn
At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 We’re looking for a Technical Implementation Account Manager (TAM) to support our customers as a trusted partner and problem-solver, blending strong relationship management with a growing understanding of ClickUp’s platform and capabilities. This role sits at the intersection of customer success, solution strategy, and technical enablement, contributing to long-term growth, adoption, and measurable business outcomes. This role operates in an AI-native environment, and we expect TAMs at this level to use AI tools as a daily multiplier across account preparation, workflow analysis, solution design, follow-through, and customer enablement. TAMs at this level manage a defined book of business and own day-to-day execution for their accounts, while working closely with more senior TAMs and cross-functional partners on complex initiatives. You’ll use established frameworks, playbooks, and templates to guide onboarding and adoption, monitor account health, and help ensure stakeholders see continuous value throughout their lifecycle. At the L04 level, success means not just understanding AI-enabled features, but showing sound judgment in when and how to use AI to improve execution quality, speed, and customer outcomes. Technical Account Managers are responsible for delivering measurable value and driving meaningful business outcomes across their customer portfolio by focusing on: Customer Enablement & Onboarding: Supporting customers through onboarding and implementation for assigned customers, following established discovery frameworks and implementation plans. Account Health & Engagement: Monitoring a
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. Okta is searching for a Global Tax Manager to join its Tax Compliance and Reporting team. The ideal candidate is a self-starter with strong organizational, project management, and process improvement skills. The ideal candidate should be proficient in most areas of income tax compliance and reporting encountered by multinational technology corporations, and is excited to leverage AI and tax technology as a core part of how they work. The candidate should be comfortable identifying where AI and automation can improve accuracy, speed, and quality across the tax function. This role is hybrid with an onsite presence at our San Francisco office two days per week. What you will do: Lead the quarterly and annual income tax provision process in accordance with ASC 740, ensuring accuracy, completeness, and audit readiness Manage global income tax compliance, including preparation, review, and coordination with external advisors for U.S. federal, state, and international filings Actively use AI tools (e.g., generative AI for research, drafting, and analysis) and tax technology platforms as part of day-to-day compliance and provision work, and help evaluate new tools to bring into the team's workflow Identify and help implement opportunities to automate manual, repetitive tax processes, with a focus on improving efficiency and reducing reliance on outside providers Design, maintain, and improve SOX controls and documentation Mentor and develop Okta senior tax an
Zoox is looking for a strategic leader to guide the Commercial Applications group within our Enterprise Applications Engineering organization. This role owns the enterprise platforms that power collaboration, service delivery, and workforce productivity across the company. You will lead a multi-disciplinary organization responsible for SaaS & self-service applications, enterprise collaboration tools, and the ServiceNow platform. As Zoox continues to scale, you’ll define the long-term vision for our enterprise software ecosystem, driving cloud modernization, automation, and the responsible adoption of AI to deliver secure, scalable, and intuitive employee experiences. In this role you will: Lead and develop a team of Team Leads and Senior Administrators across SaaS, collaboration, and ServiceNow platforms Define and execute the Commercial Applications roadmap, including Atlassian Cloud migration and ServiceNow platform evolution Drive operational maturity through engineering standards, SLAs, and proactive service management Champion self-service and workflow automation to reduce manual toil and improve employee experience Partner cross-functionally to govern SaaS procurement, security, and platform strategy at scale Qualifications: 7+ years of experience in Enterprise Applications or IT Engineering 4+ years of people management experience, ideally managing Team Leads or Managers Deep expertise in the Atlassian ecosystem, including Data Center to Cloud migrations Strong background in ServiceNow platform strategy, development, and integrations Proven ability to define and execute multi-year roadmaps for complex enterprise systems Bonus Qualifcations Experience integrating AI/ML or generative AI into enterprise platforms Strong knowledge of SaaS management (SSO, SCIM, CASB) and license infrastructure Certifications in ITIL, PMP, or Agile methodologies
At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As a Senior Applied AI Engineer at Vanta, you will play a crucial role in shaping Vanta’s AI offerings, setting technical strategy, and leading projects that leverage AI to deliver smarter, faster outcomes for our customers. You'll be part of a team integrating AI into the Vanta product, working alongside a multidisciplinary group of product engineers, machine learning engineers, product managers, designers, and security and compliance experts to implement, scale, and maintain AI-enabled product experiences. In this role, you’ll build products that enable Vanta’s customers to leverage AI to accelerate their journey towards compliance, managing risk, and earning trust. Visit our Vanta Engineering Blog to learn more about what our team is working on! What you’ll do as an engineer working on Applied AI at Vanta: Work cross-functionally to design and implement AI-powered features to deliver customer value and integrate LLMs with Vanta’s existing products and systems. You’ll work with other product engineers across Vanta to understand how AI systems can accelerate product adoption at Vanta Instrument evaluations, guardrails, and monitoring, and review customer usage to continually improve quality Collaborate with AI Platform engineers shaping foundational AI systems and tooling that accelerate product teams Make pragmatic tradeoffs that consider business priorities, user experience, and a sustainable technical foundation Mentor engineers, champion good technical and product instincts, and model a collaborative, high-ownership engineering culture How to be successful in this role: At least 7 years of industry experience as a software
🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍London or UK remote | 💰 £100,000 to £130,000 + Incentive Awards tied to your performance + Benefits | Technology - Data ⭐ About Data at Monzo Data is at the heart of how we make decisions and build products at Monzo. Our Data teams bring together Data Science, Analytics Engineering, Data Analytics and Machine Learning, working closely with Product, Engineering and other teams across the business. Our Data Scientists are embedded within product and business areas across Monzo, where they use experimentation, causal inference, statistical modelling, machine learning and analytics to understand our customers, identify opportunities and influence the direction of our products and strategy. As a Data Science Manager , you'll lead a team of Data Scientists and other Data professionals within one of these areas, combining people leadership with strategic data leadership and close partnership with senior stakeholders. 🔑 You'll play a key role by... You’ll work closely with Product, Engineering and senior leaders to ensure data plays a central role in how we understand problems, make decisions and develop our products. You'll le
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