Engineering Lead Analyst Jobs

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role We're hiring a hands-on Engineering Manager to build and lead Replit's Anti-Abuse team from the ground up. This is a foundational 0-to-1 role: you'll define the anti-abuse roadmap, hire a small team of engineers and data analysts, and ship the systems that protect Replit's platform, users, and economics from adversarial actors. You'll partner across Support, Legal, Security, Infrastructure, and the Money and Growth teams to make abuse economically unviable while keeping friction low for legitimate users. Replit sits at the frontier of AI-native abuse. Our platform is a target for phishing and scam hosting, cryptomining, LLM token farming, card and coupon fraud, and increasingly, abuse driven by AI agents themselves. The team you build will define how Replit defends against all of it. What You'll Do Build the anti-abuse roadmap from scratch : Define the threat model, prioritize across abuse vectors (phishing/scam hosting, cryptomining, token farming, payment fraud, AI agent exploitation), and translate it into a shipping plan with clear sequencing and tradeoffs. Design progressive verification and identity infrastructure : Build the "ladder of trust" that gates increasing platform capabilities (referrals, additional credits, access to powerful agent features, Missions) behind escalating verification. This includes a humanity/identity layer that's distinct from user accounts, integrations with KYC-grade verification providers, and the policy engine that decides what level of trust unlocks what behavior. This infrastructure is core not just to promo integrity but to how Replit safely expands agent capabilities over time. Ship as a hands-on EM : Stay in the code. Use the latest AI coding tools (including Rep

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. At Robinhood, our mission is to democratize finance for all. The Treasury Operations team plays a critical role in supporting this vision by ensuring the company has the financial resources and market access needed to grow, innovate, and manage cash. As the Senior Treasury Analyst, you will lead our efforts to implement a treasury management system, build and maintain a direct cash flow forecast, and to support daily operations. Reporting to our Director of Treasury Operations & Investments, you will work cross-functionally with teams such as Treasury Risk, Finance, Accounting, Engineering, Procurement, Engineering, Legal, and Tax to drive critical initiatives that support the growth of centralized Treasury organization. This role is based in our Menlo Park, CA; New York, NY; or Chicago, IL office with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do Build & implement automation workflows that leverage AI

PagerDuty, Inc. (NYSE: PD) is the global leader in AI-first digital operations. By automatically detecting, diagnosing, and remediating issues, the PagerDuty Platform orchestrates AI agents and automated workflows with context from over 750 integrations. Trusted by approximately two-thirds of the Fortune 100 and nearly half of the Fortune 500, PagerDuty is the industry standard for organizations scaling resilient, autonomous operations. Notable customers include Chipotle, Cloudflare, Docusign, Fox, Nvidia, Salesforce, Spotify, Zoom and more. We are growing rapidly and hiring top talent with leading AI skills across engineering, sales, product, marketing, and beyond as we build the leading digital operations platform. PagerDuty is looking for a Senior HRIS Analyst to join our centralized, dedicated Workday HRIS team. In this role, you'll drive the design, configuration, implementation, and administration of our Workday ecosystem — and increasingly, help us deliver and adopt the AI capabilities now built into the platform. If you're a big-picture thinker, a hands-on collaborator, and technologically proficient, results-oriented HRIS professional, we want to hear from you. Responsibilities: Strong understanding and hands-on experience implementing and maintaining Workday modules, including Core HCM, Compensation, Onboarding, Benefits, Payroll, and Security — researching and resolving system problems, unexpected results, or process flaws, and recommending solutions to meet business requirements. Collaborate with cross-functional stakeholders to streamline processes, advise on new functionality, and drive user adoption. Lead the review, testing, and implementation of Workday feature releases, including evaluating new AI-powered capabilities for fit and readiness before rollout to the business. Partner with stakeholders to configure, test, and deliver AI-enabled features and automation within Workday, acting as a key contributor in bringing new AI-powered HR

Position Overview: A Junior Research Analyst within the Diligent Market Intelligence function supports subject matter expertise in specialized research areas such as compensation, governance, activism, voting, and risk. Their main responsibilities include assisting in the design and management of data collection methodologies, overseeing third-party service provider workflows, and ensuring high-quality, timely data delivery. They are also expected to execute manual data collection from global sources, maintain strong quality assurance practices, and collaborate closely with Product and Engineering teams to ensure operational efficiency and accuracy. Additionally, Junior Research Analysts take ownership of specific daily and weekly tasks, contribute to ongoing projects, and play a key role in training service providers while keeping process documentation clear and up to date. The role requires strong numeracy, attention to detail, independent work habits, and a proactive approach to continuously improving research products and processes. Key Responsibilities: Proactive communication and management of outsourcer workload. Conduct data collection tasks to uphold the integrity of our database and keep it current. Execute systematic checks to identify data inaccuracies and operational inefficiencies as per predefined protocols. Provide regular updates and reports to the Vertical lead on progress and challenges. Take ownership of specific daily and weekly tasks, as well as ongoing projects within the assigned research vertically. Required Experience/Skills: Entry level Analytical approach and problem-solving attitude Strong written and verbal communication skills Ability to manage deadlines Ability to adapt to difficult workload demands, e.g., time/resource constraints Proficiency in Microsoft Office, especially Excel About Us Diligent is the AI leader in governance, risk and compliance (GRC) SaaS solutions, helping more than 1 million users and 70

Responsibilities: Annotate Case Report Form (acrf.pdf) following FDA/CDISC or sponsor guidelines. Develop SDTM specifications and generate SDTM datasets using SAS; Develop ADaM,specifications and generate ADaM datasets using SAS based on Statistical Analysis Plan; Develop Tables, Listings, Graphs, Patient Profile in support of the Clinical Study Report, Posters, Manuscripts; Develop ADaM data, Tables, Listings, Figures for Integrated Summary of Safety (ISS) and Integrated Summary of Efficacy (ISE) Create electronic submission packages to FDA, e.g., define.xml or define.pdf following FDA guidelines with no supervision. Expert-level in analyze information and develop innovative solutions to programming and data analysis challenges; Serve as point of contact (POC) of programming with statisticians for statistical input and analysis interpretation; Follow and reinforce regulatory agency requirements during daily job. Serve as a programming team lead and contribute to department initiatives. Provide guidance, mentoring, training for team members and help solve issues from cross-functional teams; Review draft and final production deliverables for project to ensure quality and consistency. Work with global team or sponsors to coordinate project deliverables, timelines and resources. Skills and Responsibilities: Bachelor’s/Master’s degree in Statistics, Mathematics, Computer Science, Electrical Engineering, Biotechnology or related scientific disciplines with 5+years of clinical programming experience. Proven knowledge and training in high level computing languages such as. SAS, C/C++, Java, R, Python, MATLAB and SQL. Database programming experience is a plus. Expert-level in decoding programming logic and assembling programming code based on logic provided and be able to explain to team members. Expert level in applying concept in Artificial Intelligence and Machine Learning in real world. In-depth knowledge of ICH, Good Clinical Practices, Clinical research, Clinical tria

Responsibilities: Annotate Case Report Form (acrf.pdf) following FDA/CDISC or sponsor guidelines. Develop SDTM specifications and generate SDTM datasets using SAS. Develop ADaM specifications and generate ADaM datasets using SAS based on Statistical Analysis Plan. Develop Tables, Listings, Graphs, Patient Profile in support of the Clinical Study Report, Posters, Manuscripts. Develop ADaM data, Tables, Listings, Figures for Integrated Summary of Safety (ISS) and Integrated Summary of Efficacy (ISE). Create electronic submission package to FDA, e.g., define.xml or define.pdf following FDA guidelines with minimum supervision. Proficient in analyze information and develop innovative solutions to programming and data analysis challenges; Support the point of contact (POC) of programming with statisticians for statistical input and analysis interpretation Follow and reinforce regulatory agency requirements during daily job. Serve as a programming team lead and contribute to department initiative. Provide guidance, mentoring, training for team members and help solve issues from cross-functional teams. Review draft and final production deliverables for project to ensure quality and consistency. Skills and Qualifications: Bachelor’s/Master’s degree in Statistics, Mathematics, Computer Science, Electrical Engineering, Biotechnology or related scientific disciplines with at least 4+ years of clinical programming experience. Proven knowledge and training in high level computing languages such as. SAS, C/C++, Java, R, Python, MATLAB and SQL. Database programming experience is a plus. Proficient in decoding programming logic and assembling programming code based on logic provided and be able to explain to team members. Proficient in applying concepts in Artificial Intelligence and Machine Learning in the real world. In-depth knowledge of ICH, Good Clinical Practices, Clinical research, Clinical trial process and related regulatory requirements and terminology. Good understa

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. SAP SD/MM Analyst THE ROLE As an SAP SD Analyst at Everpure, you will design and optimize robust Order-to-Fulfillment (OTC) and supply chain solutions that power our global commercial operations. Collaborating with cross-functional finance, procurement, and IT engineering teams, you will turn complex business processes into highly scalable SAP systems. By integration-testing SD, MM, and Customer Service modules, you will directly accelerate order processing velocity and improve supply chain predictability. Your mission is to elevate system integrity and build a high-performing, seamless enterprise architecture for our global stakeholders. WHAT YOU'LL DO Order-to-Fulfillment System Design: Own the translation of business requirements into high-quality functional and technical specifications for SAP OTC, SD, and MM solutions, ensuring scalability, security, and alignment with industry standards. Cross-Functional Architecture Integration: Lead configuration and integration mapping across SD, MM, IM, and FI modules—including critical touchpoints with Customer Service (CS) and Service Management (SM)—to establish seamless data flows and unified business processes. Supply Chain Optimization & Analytics: Implement cutting-edge supply chain planning and optimization solutions, leveraging analytics dashboards (SAC) and Demand Planning frameworks to enhance inventory accuracy and operational transparency. Continuous System Healt

About the role: Datadog is building a product-led Competitive Intelligence function to help inform product strategy, roadmap prioritization, positioning, and competitive readiness. As the Head of Competitive Intelligence you will build and lead the CompIntel function across priority competitors and adjacent market opportunities. You will translate competitor product evolution, technical capabilities, launches, pricing value, customer sentiment, analyst narratives, and ecosystem shifts into actionable insights for Product, GTM, Sales Engineering, Customer Success, Technical Advocacy, and leadership. In this highly technical, hands-on leadership role, you should understand how observability products are implemented, where workflows differ, what technical claims are credible, and how product gaps translate into customer impact. What You'll Do: Own the recurring competitive radar for Datadog’s priority competitor set, including taxonomy, source standards, evidence quality, and update cadence. Produce competitive deep dives, feature-gap analyses, early-warning briefs, and opportunity assessments tied to specific product domains and leadership questions. Translate CompIntel findings into roadmap recommendations, product differentiation hypotheses, and Product-facing decision guidance. Build and maintain a central CompIntel repository with competitor profiles, source notes, comparison frameworks, evidence logs, and decision-ready briefs. Convert validated findings into GTM-ready handoffs for battlecards, objection handling, strategic deal narratives, and field enablement. Synthesize signals from Product, Engineering, Sales Engineering, Customer Success, field teams, technical communities, Advocacy programs, win/loss, customer feedback, analyst research, public competitor materials, and CABs. Partner with Product Management to frame competitive questions, identify decision criteria, and connect findings to roadmap and prioritization discussions. Partner with Tec

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 Marketplace organization drives Lyft’s business growth and ensures our marketplace performs reliably and efficiently. Within Marketplace, the Market Insights team is responsible for the health and growth of Lyft’s top regions. We are looking for an analyst to join the Market Insights team to identify key opportunities in these regions and influence strategy across the company. From long-term strategic decisions to weekly agile operations, you will own a range of business-critical work. You will identify our marketplace’s most critical gaps, create business and product strategies to address them, and partner with cross-functional teams to deliver impact. The ideal candidate is proactive, has strong analytical capabilities, and can collaborate effectively across teams. Responsibilities: Become an expert in rideshare marketplace behaviors/trends and support leadership in data-informed business strategies and decisions Leverage data and analytics to identify problems and opportunities in Lyft’s top regions, synthesize the trends and insights, and recommend action plans Operate within rideshare decision-making frameworks with a critical lens, evaluating areas of improvement and business growth opportunities Partner with Data Science, Product, Engineering, and other teams to deliver business, product, and strategy improvements Be proactive in pursuing opportunities and have a true ownership mindset to get things done Experience: Bachelor’s degree with a focus in analytics, statistics, economics, finance, marketing, or other quantitative fields 3+ years experience in management consulting, strategic data science/analytics roles in a technology company, or an equivalent analytical role in a high growth startup Experience analyzing data, extracting key insights and trends, and producing

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 Marketplace organization drives Lyft’s business growth and ensures our marketplace performs reliably and efficiently. Within Marketplace, the Market Insights team is responsible for the health and growth of Lyft’s top regions. We are looking for an analyst to join the Market Insights team to identify key opportunities in these regions and influence strategy across the company. From long-term strategic decisions to weekly agile operations, you will own a range of business-critical work. You will identify our marketplace’s most critical gaps, create business and product strategies to address them, and partner with cross-functional teams to deliver impact. The ideal candidate is proactive, has strong analytical capabilities, and can collaborate effectively across teams. Responsibilities: Become an expert in rideshare marketplace behaviors/trends and support leadership in data-informed business strategies and decisions Leverage data and analytics to identify problems and opportunities in Lyft’s top regions, synthesize the trends and insights, and recommend action plans Operate within rideshare decision-making frameworks with a critical lens, evaluating areas of improvement and business growth opportunities Partner with Data Science, Product, Engineering, and other teams to deliver business, product, and strategy improvements Be proactive in pursuing opportunities and have a true ownership mindset to get things done Experience: Bachelor’s degree with a focus in analytics, statistics, economics, finance, marketing, or other quantitative fields 3+ years experience in management consulting, strategic data science/analytics roles in a technology company, or an equivalent analytical role in a high growth startup Experience analyzing data, extracting key insights and trends, and producing

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 a ServiceNow Business System Analyst at Everpure™, you will serve as the strategic bridge between cross-functional business partners and technical engineering teams to unlock the full potential of our enterprise platform . You will maximize organizational agility by aligning ServiceNow capabilities across ITSM, HR, and Field Services directly with key business outcomes . Partnering closely with developers, product owners, and enterprise leaders, you will drive operational efficiency, seamless automation, and platform modernization . If you thrive on transforming complex enterprise workflows into scalable, high-impact digital experiences, this role offers an exciting opportunity to shape our technology ecosystem . WHAT YOU'LL DO Drive Business Process Optimization & Alignment: Lead workshops with key stakeholders across IT, HR, and Operations to map current-state workflows, eliminate operational bottlenecks, and design scalable future-state processes that enhance service efficiency and align with enterprise governance standards . Manage Agile Backlog & Deliver Strategic Value: Transform complex business requirements into prioritized epics, clear user stories, and acceptance criteria within Agile delivery frameworks, ensuring technical features directly support measurable organizational goals . Ensure Delivery Excellence & Solution Quality: Partner with platform architects and engineering teams to rev

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. CLEAR is seeking a Senior Security Operations Analyst III to join our SOC team to help strengthen our ability to detect, investigate, and respond to evolving security threats. In this role, you’ll lead complex investigations, improve CLEAR’s threat detection and response capabilities, and serve as a trusted security partner while helping develop the analysts and program around you. What you'll do: Lead complex investigations of security events across corporate networks, endpoints, data centers, cloud environments, and other critical systems, driving incidents from initial analysis through escalation and remediation Develop, tune, and optimize threat detection logic across SIEM, EDR, and other security platforms, proactively identifying coverage gaps, reducing false positives, and improving the fidelity of security alerts Partner with Engineering, Infrastructure, and other teams to investigate threats, identify root causes, communicate risk, and drive timely remediation and improvements to CLEAR’s security posture Apply threat intelligence, data, automation, and AI-enabled tools to identify emerging attack patterns, accelerate investigations, improve detection workflows, and strengthen decision-making while applying sound security judgment Serve as a subject matter expert and escalation point for other analysts, mentoring junior team members, sharing knowledge, and helping establish scalable processes, playbooks, and standards for threat detection and analysis Continuously evaluate CLEAR’s detection coverage against the evolving t

About the Team The Sales Analytics team at DoorDash is responsible for getting the right information and insights out to drive our business goals. As DoorDash grows both in scale and breadth of offering, the strength of our sales engine and organizational structure must grow with it. About the Role You will be focused on partnering with our sales & strategy teams, who help solve pain points for small business (SMB) merchants on the Doordash platform through various methods such as new product adoption. You will lead analyses to guide our sales team with data-driven insights to unlock growth opportunities within their accounts. This cross-functional role will partner with sales, operations, product, and strategy teams. You will report into a Senior Manager on our Sales Analytics team, which is part of our Sales Operations organization. You’re excited about this opportunity because you will… Strategize – Devise and execute initiatives against the overall sales org strategy for “winning the merchant” while managing stakeholders across multiple lines of business Experiment – Use data-driven decision-making and sound business judgment to run sales tests and lead market intelligence efforts Optimize – Build the best merchant acquisition engine so DoorDash continues to offer the highest quality selection for its customers Analyze – Build models to evaluate the economics, value, and opportunity costs of strategic initiatives to improve sales performance Influence – Manage cross-functional projects with our sales, partner management, operations, product, engineering, business operations and BD teams to improve the merchant experience and achieve targets We’re excited about you because… You have 2+ years of experience in Analytics, Consulting, or Strategy You have a bachelors degree or higher You are highly technical with advanced SQL, basic Python/R, AI, and data modeling experience. You are an excellent analytical thinker who can deliver actionable recommendations

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. Role Summary: This role will lead the data engineering function supporting People Analytics, including AI-assisted workforce analytics on Snowflake. This is a player-coach role requiring hands-on technical leadership plus people leadership, with strong business partnership and the ability to balance speed, quality, governance, and innovation. What you’ll do: Manage and develop data engineers Manage, coach, and grow a team of data engineers. Set expectations for quality, collaboration, delivery, and technical ownership. Create a strong engineering culture where people solve hard problems, move quickly, and enjoy the work. Collaborate with cross-functional teams, such as other data engineers, people analysts, data scientists, and business stakeholders, to translate requirements into production-ready deliverables, and communicate technical trade-offs to non-technical partners. Stay hands on Write and review production code. Lead design reviews, code reviews, and technical problem solving. Step into critical pipelines, models, or AI workflows when needed. Build scalable People data foundations Design and maintain sustainable data models, pipelines, semantic layers, and testing frameworks. Establish team practices for documentation, lineage, data quality, and observability. Own engineering standards Set standard

About the team The OpenAI for Government team is a mission-driven group bringing frontier AI to the U.S. Intelligence Community (IC) and broader national security enterprise. We partner with intelligence professionals to deploy secure, compliant AI capabilities—including ChatGPT Enterprise, ChatGPT Gov, and the OpenAI API—in mission-aligned environments that meet rigorous security, privacy, reliability, and responsible-AI requirements. As part of the OpenAI for Government team, you will work across IC elements and mission partners—including ODNI, CIA, NSA, DIA, NGA, NRO, and other federal intelligence organizations—to help analysts, collectors, operators, and technical teams apply frontier AI to their highest-priority missions. We accelerate adoption through hands-on support, mission-specific workflows, tailored enablement, and measurable operational outcomes while preserving human judgment, analytic integrity, and protection of sensitive information. About the Role The Strategic Delivery Lead (SDL) for the Intelligence Community will identify, shape, and deliver OpenAI’s highest-impact deployments for U.S. intelligence organizations. You will help IC customers translate mission priorities—including all-source analysis, intelligence production, collection management, open-source and geospatial exploitation, cyber threat analysis, knowledge discovery, and analyst productivity—into secure, technically feasible AI deployments built on the OpenAI API and enterprise products. The role is highly cross-functional and customer-facing: you will partner with Research, Engineering, Go-to-Market, Security, Legal, Privacy, and government mission, acquisition, and technical stakeholders to align on scope, remove delivery obstacles, and communicate progress from working teams to agency leadership. You will own end-to-end execution of technical delivery workstreams led by Forward Deployed Engineers, Researchers, Solutions Architects, and Enablement teams. You will establish mission